2022/08/11 10:29:36 - mmengine - INFO - 184378 out of 184378 frames are valid. 2022/08/11 10:29:47 - mmengine - INFO - 50252 out of 50252 frames are valid. Name of parameter - Initialization information backbone.slow_path.conv1.conv.weight - torch.Size([64, 3, 1, 7, 7]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.0.conv1.conv.weight - torch.Size([64, 80, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.0.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.0.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.0.conv2.conv.weight - torch.Size([64, 64, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.0.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.0.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.0.conv3.conv.weight - torch.Size([256, 64, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.0.conv3.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.0.conv3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.0.downsample.conv.weight - torch.Size([256, 80, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.0.downsample.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.0.downsample.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.1.conv1.conv.weight - torch.Size([64, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.1.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.1.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.1.conv2.conv.weight - torch.Size([64, 64, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.1.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.1.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.1.conv3.conv.weight - torch.Size([256, 64, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.1.conv3.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.1.conv3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.2.conv1.conv.weight - torch.Size([64, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.2.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.2.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.2.conv2.conv.weight - torch.Size([64, 64, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.2.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.2.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer1.2.conv3.conv.weight - torch.Size([256, 64, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.2.conv3.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1.2.conv3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.0.conv1.conv.weight - torch.Size([128, 320, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.0.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.0.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.0.conv2.conv.weight - torch.Size([128, 128, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.0.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.0.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.0.conv3.conv.weight - torch.Size([512, 128, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.0.conv3.bn.weight - torch.Size([512]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.0.conv3.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.0.downsample.conv.weight - torch.Size([512, 320, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.0.downsample.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.0.downsample.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.1.conv1.conv.weight - torch.Size([128, 512, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.1.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.1.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.1.conv2.conv.weight - torch.Size([128, 128, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.1.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.1.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.1.conv3.conv.weight - torch.Size([512, 128, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.1.conv3.bn.weight - torch.Size([512]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.1.conv3.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.2.conv1.conv.weight - torch.Size([128, 512, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.2.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.2.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.2.conv2.conv.weight - torch.Size([128, 128, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.2.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.2.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.2.conv3.conv.weight - torch.Size([512, 128, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.2.conv3.bn.weight - torch.Size([512]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.2.conv3.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.3.conv1.conv.weight - torch.Size([128, 512, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.3.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.3.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.3.conv2.conv.weight - torch.Size([128, 128, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.3.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.3.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer2.3.conv3.conv.weight - torch.Size([512, 128, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.3.conv3.bn.weight - torch.Size([512]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2.3.conv3.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.0.conv1.conv.weight - torch.Size([256, 640, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.0.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.0.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.0.conv2.conv.weight - torch.Size([256, 256, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.0.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.0.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.0.conv3.conv.weight - torch.Size([1024, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.0.conv3.bn.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.0.conv3.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.0.downsample.conv.weight - torch.Size([1024, 640, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.0.downsample.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.0.downsample.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.1.conv1.conv.weight - torch.Size([256, 1024, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.1.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.1.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.1.conv2.conv.weight - torch.Size([256, 256, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.1.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.1.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.1.conv3.conv.weight - torch.Size([1024, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.1.conv3.bn.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.1.conv3.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.2.conv1.conv.weight - torch.Size([256, 1024, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.2.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.2.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.2.conv2.conv.weight - torch.Size([256, 256, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.2.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.2.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.2.conv3.conv.weight - torch.Size([1024, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.2.conv3.bn.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.2.conv3.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.3.conv1.conv.weight - torch.Size([256, 1024, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.3.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.3.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.3.conv2.conv.weight - torch.Size([256, 256, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.3.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.3.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.3.conv3.conv.weight - torch.Size([1024, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.3.conv3.bn.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.3.conv3.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.4.conv1.conv.weight - torch.Size([256, 1024, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.4.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.4.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.4.conv2.conv.weight - torch.Size([256, 256, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.4.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.4.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.4.conv3.conv.weight - torch.Size([1024, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.4.conv3.bn.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.4.conv3.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.5.conv1.conv.weight - torch.Size([256, 1024, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.5.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.5.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.5.conv2.conv.weight - torch.Size([256, 256, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.5.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.5.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer3.5.conv3.conv.weight - torch.Size([1024, 256, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.5.conv3.bn.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3.5.conv3.bn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.0.conv1.conv.weight - torch.Size([512, 1280, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.0.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.0.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.0.conv2.conv.weight - torch.Size([512, 512, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.0.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.0.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.0.conv3.conv.weight - torch.Size([2048, 512, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.0.conv3.bn.weight - torch.Size([2048]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.0.conv3.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.0.downsample.conv.weight - torch.Size([2048, 1280, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.0.downsample.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.0.downsample.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.1.conv1.conv.weight - torch.Size([512, 2048, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.1.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.1.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.1.conv2.conv.weight - torch.Size([512, 512, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.1.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.1.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.1.conv3.conv.weight - torch.Size([2048, 512, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.1.conv3.bn.weight - torch.Size([2048]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.1.conv3.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.2.conv1.conv.weight - torch.Size([512, 2048, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.2.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.2.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.2.conv2.conv.weight - torch.Size([512, 512, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.2.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.2.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.layer4.2.conv3.conv.weight - torch.Size([2048, 512, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.2.conv3.bn.weight - torch.Size([2048]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer4.2.conv3.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of FastRCNN backbone.slow_path.conv1_lateral.conv.weight - torch.Size([16, 8, 7, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer1_lateral.conv.weight - torch.Size([64, 32, 7, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer2_lateral.conv.weight - torch.Size([128, 64, 7, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.slow_path.layer3_lateral.conv.weight - torch.Size([256, 128, 7, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.conv1.conv.weight - torch.Size([8, 3, 5, 7, 7]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.conv1.bn.weight - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.conv1.bn.bias - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.0.conv1.conv.weight - torch.Size([8, 8, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.0.conv1.bn.weight - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.0.conv1.bn.bias - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.0.conv2.conv.weight - torch.Size([8, 8, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.0.conv2.bn.weight - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.0.conv2.bn.bias - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.0.conv3.conv.weight - torch.Size([32, 8, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.0.conv3.bn.weight - torch.Size([32]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.0.conv3.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.0.downsample.conv.weight - torch.Size([32, 8, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.0.downsample.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.0.downsample.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.1.conv1.conv.weight - torch.Size([8, 32, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.1.conv1.bn.weight - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.1.conv1.bn.bias - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.1.conv2.conv.weight - torch.Size([8, 8, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.1.conv2.bn.weight - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.1.conv2.bn.bias - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.1.conv3.conv.weight - torch.Size([32, 8, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.1.conv3.bn.weight - torch.Size([32]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.1.conv3.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.2.conv1.conv.weight - torch.Size([8, 32, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.2.conv1.bn.weight - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.2.conv1.bn.bias - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.2.conv2.conv.weight - torch.Size([8, 8, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.2.conv2.bn.weight - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.2.conv2.bn.bias - torch.Size([8]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer1.2.conv3.conv.weight - torch.Size([32, 8, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.2.conv3.bn.weight - torch.Size([32]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer1.2.conv3.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.0.conv1.conv.weight - torch.Size([16, 32, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.0.conv1.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.0.conv1.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.0.conv2.conv.weight - torch.Size([16, 16, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.0.conv2.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.0.conv2.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.0.conv3.conv.weight - torch.Size([64, 16, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.0.conv3.bn.weight - torch.Size([64]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.0.conv3.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.0.downsample.conv.weight - torch.Size([64, 32, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.0.downsample.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.0.downsample.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.1.conv1.conv.weight - torch.Size([16, 64, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.1.conv1.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.1.conv1.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.1.conv2.conv.weight - torch.Size([16, 16, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.1.conv2.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.1.conv2.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.1.conv3.conv.weight - torch.Size([64, 16, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.1.conv3.bn.weight - torch.Size([64]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.1.conv3.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.2.conv1.conv.weight - torch.Size([16, 64, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.2.conv1.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.2.conv1.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.2.conv2.conv.weight - torch.Size([16, 16, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.2.conv2.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.2.conv2.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.2.conv3.conv.weight - torch.Size([64, 16, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.2.conv3.bn.weight - torch.Size([64]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.2.conv3.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.3.conv1.conv.weight - torch.Size([16, 64, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.3.conv1.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.3.conv1.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.3.conv2.conv.weight - torch.Size([16, 16, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.3.conv2.bn.weight - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.3.conv2.bn.bias - torch.Size([16]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer2.3.conv3.conv.weight - torch.Size([64, 16, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.3.conv3.bn.weight - torch.Size([64]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer2.3.conv3.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.0.conv1.conv.weight - torch.Size([32, 64, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.0.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.0.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.0.conv2.conv.weight - torch.Size([32, 32, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.0.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.0.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.0.conv3.conv.weight - torch.Size([128, 32, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.0.conv3.bn.weight - torch.Size([128]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.0.conv3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.0.downsample.conv.weight - torch.Size([128, 64, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.0.downsample.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.0.downsample.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.1.conv1.conv.weight - torch.Size([32, 128, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.1.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.1.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.1.conv2.conv.weight - torch.Size([32, 32, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.1.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.1.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.1.conv3.conv.weight - torch.Size([128, 32, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.1.conv3.bn.weight - torch.Size([128]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.1.conv3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.2.conv1.conv.weight - torch.Size([32, 128, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.2.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.2.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.2.conv2.conv.weight - torch.Size([32, 32, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.2.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.2.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.2.conv3.conv.weight - torch.Size([128, 32, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.2.conv3.bn.weight - torch.Size([128]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.2.conv3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.3.conv1.conv.weight - torch.Size([32, 128, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.3.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.3.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.3.conv2.conv.weight - torch.Size([32, 32, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.3.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.3.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.3.conv3.conv.weight - torch.Size([128, 32, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.3.conv3.bn.weight - torch.Size([128]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.3.conv3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.4.conv1.conv.weight - torch.Size([32, 128, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.4.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.4.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.4.conv2.conv.weight - torch.Size([32, 32, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.4.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.4.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.4.conv3.conv.weight - torch.Size([128, 32, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.4.conv3.bn.weight - torch.Size([128]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.4.conv3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.5.conv1.conv.weight - torch.Size([32, 128, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.5.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.5.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.5.conv2.conv.weight - torch.Size([32, 32, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.5.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.5.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer3.5.conv3.conv.weight - torch.Size([128, 32, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.5.conv3.bn.weight - torch.Size([128]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer3.5.conv3.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.0.conv1.conv.weight - torch.Size([64, 128, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.0.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.0.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.0.conv2.conv.weight - torch.Size([64, 64, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.0.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.0.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.0.conv3.conv.weight - torch.Size([256, 64, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.0.conv3.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.0.conv3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.0.downsample.conv.weight - torch.Size([256, 128, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.0.downsample.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.0.downsample.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.1.conv1.conv.weight - torch.Size([64, 256, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.1.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.1.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.1.conv2.conv.weight - torch.Size([64, 64, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.1.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.1.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.1.conv3.conv.weight - torch.Size([256, 64, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.1.conv3.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.1.conv3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.2.conv1.conv.weight - torch.Size([64, 256, 3, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.2.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.2.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.2.conv2.conv.weight - torch.Size([64, 64, 1, 3, 3]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.2.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.2.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of FastRCNN backbone.fast_path.layer4.2.conv3.conv.weight - torch.Size([256, 64, 1, 1, 1]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.2.conv3.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ResNet3dSlowFast backbone.fast_path.layer4.2.conv3.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FastRCNN roi_head.bbox_head.fc_cls.weight - torch.Size([81, 2304]): Initialized by user-defined `init_weights` in BBoxHeadAVA roi_head.bbox_head.fc_cls.bias - torch.Size([81]): Initialized by user-defined `init_weights` in BBoxHeadAVA 2022/08/11 10:29:49 - mmengine - INFO - Load checkpoint from https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_8x8x1_256e_kinetics400_rgb/slowfast_r50_8x8x1_256e_kinetics400_rgb_20200716-73547d2b.pth 2022/08/11 10:29:49 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb by HardDiskBackend. 2022/08/11 10:31:16 - mmengine - INFO - Epoch(train) [1][20/3842] lr: 7.6669e-03 eta: 1 day, 22:03:58 time: 4.3187 data_time: 2.7334 memory: 46558 grad_norm: 8.4055 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.5098 recall@top3: 0.5686 prec@top3: 0.4706 recall@top5: 0.8529 prec@top5: 0.4235 loss_action_cls: 0.8100 loss: 0.8100 2022/08/11 10:31:26 - mmengine - INFO - Epoch(train) [1][40/3842] lr: 7.8426e-03 eta: 1 day, 1:49:17 time: 0.5254 data_time: 0.0168 memory: 10484 grad_norm: 4.4506 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.4643 recall@top3: 0.4762 prec@top3: 0.4286 recall@top5: 0.6190 prec@top5: 0.3429 loss_action_cls: 0.6022 loss: 0.6022 2022/08/11 10:31:36 - mmengine - INFO - Epoch(train) [1][60/3842] lr: 8.0184e-03 eta: 18:58:00 time: 0.4959 data_time: 0.0137 memory: 10484 grad_norm: 2.6243 recall@thr=0.5: 0.3631 prec@thr=0.5: 0.4476 recall@top3: 0.5476 prec@top3: 0.4762 recall@top5: 0.7381 prec@top5: 0.3857 loss_action_cls: 0.3115 loss: 0.3115 2022/08/11 10:31:46 - mmengine - INFO - Epoch(train) [1][80/3842] lr: 8.1941e-03 eta: 15:31:38 time: 0.4919 data_time: 0.0138 memory: 10484 grad_norm: 2.0547 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.7361 recall@top3: 0.7118 prec@top3: 0.6944 recall@top5: 0.8438 prec@top5: 0.5083 loss_action_cls: 0.3000 loss: 0.3000 2022/08/11 10:31:58 - mmengine - INFO - Epoch(train) [1][100/3842] lr: 8.3698e-03 eta: 13:42:43 time: 0.6091 data_time: 0.0249 memory: 10484 grad_norm: 1.5155 recall@thr=0.5: 0.1944 prec@thr=0.5: 0.3889 recall@top3: 0.4861 prec@top3: 0.4259 recall@top5: 0.7037 prec@top5: 0.3667 loss_action_cls: 0.2369 loss: 0.2369 2022/08/11 10:32:13 - mmengine - INFO - Epoch(train) [1][120/3842] lr: 8.5455e-03 eta: 12:42:09 time: 0.7229 data_time: 0.0161 memory: 10484 grad_norm: 1.7086 recall@thr=0.5: 0.4563 prec@thr=0.5: 0.6984 recall@top3: 0.6865 prec@top3: 0.6667 recall@top5: 0.9365 prec@top5: 0.5429 loss_action_cls: 0.2371 loss: 0.2371 2022/08/11 10:32:23 - mmengine - INFO - Epoch(train) [1][140/3842] lr: 8.7212e-03 eta: 11:40:00 time: 0.5163 data_time: 0.0167 memory: 10484 grad_norm: 1.2764 recall@thr=0.5: 0.4755 prec@thr=0.5: 0.5882 recall@top3: 0.5980 prec@top3: 0.4510 recall@top5: 0.7794 prec@top5: 0.3647 loss_action_cls: 0.1624 loss: 0.1624 2022/08/11 10:32:36 - mmengine - INFO - Epoch(train) [1][160/3842] lr: 8.8969e-03 eta: 11:05:51 time: 0.6734 data_time: 0.1632 memory: 10484 grad_norm: 1.2011 recall@thr=0.5: 0.4565 prec@thr=0.5: 0.4130 recall@top3: 0.5942 prec@top3: 0.3623 recall@top5: 0.8116 prec@top5: 0.2870 loss_action_cls: 0.1524 loss: 0.1524 2022/08/11 10:32:47 - mmengine - INFO - Epoch(train) [1][180/3842] lr: 9.0726e-03 eta: 10:29:10 time: 0.5312 data_time: 0.0144 memory: 10484 grad_norm: 1.2721 recall@thr=0.5: 0.4008 prec@thr=0.5: 0.4603 recall@top3: 0.5397 prec@top3: 0.5714 recall@top5: 0.8730 prec@top5: 0.5143 loss_action_cls: 0.1634 loss: 0.1634 2022/08/11 10:32:57 - mmengine - INFO - Epoch(train) [1][200/3842] lr: 9.2483e-03 eta: 9:56:47 time: 0.4839 data_time: 0.0145 memory: 10484 grad_norm: 0.9551 recall@thr=0.5: 0.4679 prec@thr=0.5: 0.5000 recall@top3: 0.6026 prec@top3: 0.5128 recall@top5: 0.7564 prec@top5: 0.3538 loss_action_cls: 0.1861 loss: 0.1861 2022/08/11 10:33:07 - mmengine - INFO - Epoch(train) [1][220/3842] lr: 9.4241e-03 eta: 9:31:51 time: 0.5114 data_time: 0.0122 memory: 10484 grad_norm: 0.7861 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.7692 recall@top3: 0.6218 prec@top3: 0.5385 recall@top5: 0.7308 prec@top5: 0.3846 loss_action_cls: 0.1485 loss: 0.1485 2022/08/11 10:33:19 - mmengine - INFO - Epoch(train) [1][240/3842] lr: 9.5998e-03 eta: 9:16:54 time: 0.6222 data_time: 0.0170 memory: 10484 grad_norm: 0.6407 recall@thr=0.5: 0.4778 prec@thr=0.5: 0.7000 recall@top3: 0.5667 prec@top3: 0.4444 recall@top5: 0.6556 prec@top5: 0.3200 loss_action_cls: 0.1727 loss: 0.1727 2022/08/11 10:33:30 - mmengine - INFO - Epoch(train) [1][260/3842] lr: 9.7755e-03 eta: 8:59:00 time: 0.5151 data_time: 0.0167 memory: 10484 grad_norm: 0.7390 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.4510 recall@top3: 0.7647 prec@top3: 0.4902 recall@top5: 0.9314 prec@top5: 0.3765 loss_action_cls: 0.1827 loss: 0.1827 2022/08/11 10:33:42 - mmengine - INFO - Epoch(train) [1][280/3842] lr: 9.9512e-03 eta: 8:48:54 time: 0.6314 data_time: 0.1334 memory: 10484 grad_norm: 0.6536 recall@thr=0.5: 0.3438 prec@thr=0.5: 0.6458 recall@top3: 0.5972 prec@top3: 0.5972 recall@top5: 0.7917 prec@top5: 0.4750 loss_action_cls: 0.1566 loss: 0.1566 2022/08/11 10:33:53 - mmengine - INFO - Epoch(train) [1][300/3842] lr: 1.0127e-02 eta: 8:35:07 time: 0.5132 data_time: 0.0170 memory: 10484 grad_norm: 0.6536 recall@thr=0.5: 0.3708 prec@thr=0.5: 0.6458 recall@top3: 0.6375 prec@top3: 0.6333 recall@top5: 0.8375 prec@top5: 0.5000 loss_action_cls: 0.1606 loss: 0.1606 2022/08/11 10:34:02 - mmengine - INFO - Epoch(train) [1][320/3842] lr: 1.0303e-02 eta: 8:22:03 time: 0.4882 data_time: 0.0163 memory: 10484 grad_norm: 0.6016 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4222 recall@top3: 0.6333 prec@top3: 0.4444 recall@top5: 0.7556 prec@top5: 0.3333 loss_action_cls: 0.1699 loss: 0.1699 2022/08/11 10:34:12 - mmengine - INFO - Epoch(train) [1][340/3842] lr: 1.0478e-02 eta: 8:11:19 time: 0.5103 data_time: 0.0163 memory: 10484 grad_norm: 0.5648 recall@thr=0.5: 0.4737 prec@thr=0.5: 0.6842 recall@top3: 0.7193 prec@top3: 0.5965 recall@top5: 0.8333 prec@top5: 0.4316 loss_action_cls: 0.1473 loss: 0.1473 2022/08/11 10:34:23 - mmengine - INFO - Epoch(train) [1][360/3842] lr: 1.0654e-02 eta: 8:01:44 time: 0.5095 data_time: 0.0147 memory: 10484 grad_norm: 0.4934 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5357 recall@top3: 0.7440 prec@top3: 0.6190 recall@top5: 0.9107 prec@top5: 0.4571 loss_action_cls: 0.1499 loss: 0.1499 2022/08/11 10:34:32 - mmengine - INFO - Epoch(train) [1][380/3842] lr: 1.0830e-02 eta: 7:52:23 time: 0.4866 data_time: 0.0167 memory: 10484 grad_norm: 0.4984 recall@thr=0.5: 0.4755 prec@thr=0.5: 0.8627 recall@top3: 0.8529 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.4824 loss_action_cls: 0.1257 loss: 0.1257 2022/08/11 10:34:42 - mmengine - INFO - Epoch(train) [1][400/3842] lr: 1.1005e-02 eta: 7:44:13 time: 0.4952 data_time: 0.0124 memory: 10484 grad_norm: 0.4914 recall@thr=0.5: 0.3030 prec@thr=0.5: 0.5000 recall@top3: 0.5667 prec@top3: 0.6212 recall@top5: 0.8379 prec@top5: 0.5091 loss_action_cls: 0.1312 loss: 0.1312 2022/08/11 10:34:56 - mmengine - INFO - Epoch(train) [1][420/3842] lr: 1.1181e-02 eta: 7:42:11 time: 0.6735 data_time: 0.0171 memory: 10484 grad_norm: 0.4329 recall@thr=0.5: 0.4206 prec@thr=0.5: 0.4921 recall@top3: 0.5595 prec@top3: 0.4603 recall@top5: 0.6944 prec@top5: 0.3619 loss_action_cls: 0.1438 loss: 0.1438 2022/08/11 10:35:07 - mmengine - INFO - Epoch(train) [1][440/3842] lr: 1.1357e-02 eta: 7:36:29 time: 0.5399 data_time: 0.0157 memory: 10484 grad_norm: 0.4365 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6667 recall@top3: 0.7949 prec@top3: 0.6154 recall@top5: 0.9487 prec@top5: 0.4615 loss_action_cls: 0.1302 loss: 0.1302 2022/08/11 10:35:16 - mmengine - INFO - Epoch(train) [1][460/3842] lr: 1.1533e-02 eta: 7:29:44 time: 0.4849 data_time: 0.0165 memory: 10484 grad_norm: 0.3612 recall@thr=0.5: 0.3690 prec@thr=0.5: 0.4841 recall@top3: 0.7540 prec@top3: 0.5873 recall@top5: 0.9405 prec@top5: 0.4667 loss_action_cls: 0.1329 loss: 0.1329 2022/08/11 10:35:27 - mmengine - INFO - Epoch(train) [1][480/3842] lr: 1.1708e-02 eta: 7:24:21 time: 0.5150 data_time: 0.0131 memory: 10484 grad_norm: 0.4420 recall@thr=0.5: 0.3667 prec@thr=0.5: 0.5667 recall@top3: 0.6042 prec@top3: 0.4833 recall@top5: 0.7667 prec@top5: 0.3800 loss_action_cls: 0.1311 loss: 0.1311 2022/08/11 10:35:36 - mmengine - INFO - Epoch(train) [1][500/3842] lr: 1.1884e-02 eta: 7:18:37 time: 0.4854 data_time: 0.0150 memory: 10484 grad_norm: 0.4026 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.9615 recall@top3: 0.8205 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4769 loss_action_cls: 0.1390 loss: 0.1390 2022/08/11 10:35:47 - mmengine - INFO - Epoch(train) [1][520/3842] lr: 1.2060e-02 eta: 7:14:20 time: 0.5276 data_time: 0.0139 memory: 10484 grad_norm: 0.3841 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8690 recall@top3: 0.8571 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4429 loss_action_cls: 0.1058 loss: 0.1058 2022/08/11 10:35:58 - mmengine - INFO - Epoch(train) [1][540/3842] lr: 1.2235e-02 eta: 7:10:36 time: 0.5373 data_time: 0.0254 memory: 10484 grad_norm: 0.3956 recall@thr=0.5: 0.4010 prec@thr=0.5: 0.5312 recall@top3: 0.6667 prec@top3: 0.5000 recall@top5: 0.7865 prec@top5: 0.3750 loss_action_cls: 0.1424 loss: 0.1424 2022/08/11 10:36:08 - mmengine - INFO - Epoch(train) [1][560/3842] lr: 1.2411e-02 eta: 7:06:28 time: 0.5087 data_time: 0.0173 memory: 10484 grad_norm: 0.3578 recall@thr=0.5: 0.6422 prec@thr=0.5: 0.8235 recall@top3: 0.7794 prec@top3: 0.7843 recall@top5: 0.8676 prec@top5: 0.5294 loss_action_cls: 0.1472 loss: 0.1472 2022/08/11 10:36:18 - mmengine - INFO - Epoch(train) [1][580/3842] lr: 1.2587e-02 eta: 7:02:09 time: 0.4883 data_time: 0.0157 memory: 10484 grad_norm: 0.3368 recall@thr=0.5: 0.4118 prec@thr=0.5: 0.5490 recall@top3: 0.5686 prec@top3: 0.5490 recall@top5: 0.8039 prec@top5: 0.4235 loss_action_cls: 0.1638 loss: 0.1638 2022/08/11 10:36:29 - mmengine - INFO - Epoch(train) [1][600/3842] lr: 1.2763e-02 eta: 6:59:25 time: 0.5496 data_time: 0.0156 memory: 10484 grad_norm: 0.3750 recall@thr=0.5: 0.4714 prec@thr=0.5: 0.8135 recall@top3: 0.6635 prec@top3: 0.7302 recall@top5: 0.8873 prec@top5: 0.5810 loss_action_cls: 0.1329 loss: 0.1329 2022/08/11 10:36:38 - mmengine - INFO - Epoch(train) [1][620/3842] lr: 1.2938e-02 eta: 6:55:33 time: 0.4858 data_time: 0.0153 memory: 10484 grad_norm: 0.3802 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7059 recall@top3: 0.5735 prec@top3: 0.4902 recall@top5: 0.7598 prec@top5: 0.4000 loss_action_cls: 0.1347 loss: 0.1347 2022/08/11 10:36:49 - mmengine - INFO - Epoch(train) [1][640/3842] lr: 1.3114e-02 eta: 6:52:43 time: 0.5274 data_time: 0.0147 memory: 10484 grad_norm: 0.3514 recall@thr=0.5: 0.4511 prec@thr=0.5: 0.4889 recall@top3: 0.5233 prec@top3: 0.4000 recall@top5: 0.8144 prec@top5: 0.3600 loss_action_cls: 0.1333 loss: 0.1333 2022/08/11 10:36:59 - mmengine - INFO - Epoch(train) [1][660/3842] lr: 1.3290e-02 eta: 6:49:21 time: 0.4902 data_time: 0.0186 memory: 10484 grad_norm: 0.3299 recall@thr=0.5: 0.2708 prec@thr=0.5: 0.4687 recall@top3: 0.5729 prec@top3: 0.4375 recall@top5: 0.6771 prec@top5: 0.3250 loss_action_cls: 0.1284 loss: 0.1284 2022/08/11 10:37:11 - mmengine - INFO - Epoch(train) [1][680/3842] lr: 1.3465e-02 eta: 6:48:12 time: 0.5999 data_time: 0.0190 memory: 10484 grad_norm: 0.3509 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.6389 recall@top3: 0.6667 prec@top3: 0.4630 recall@top5: 0.8241 prec@top5: 0.3556 loss_action_cls: 0.1538 loss: 0.1538 2022/08/11 10:37:21 - mmengine - INFO - Epoch(train) [1][700/3842] lr: 1.3641e-02 eta: 6:46:01 time: 0.5395 data_time: 0.0281 memory: 10484 grad_norm: 0.3004 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6250 recall@top3: 0.7500 prec@top3: 0.5500 recall@top5: 0.8333 prec@top5: 0.3700 loss_action_cls: 0.1491 loss: 0.1491 2022/08/11 10:37:31 - mmengine - INFO - Epoch(train) [1][720/3842] lr: 1.3817e-02 eta: 6:43:04 time: 0.4895 data_time: 0.0182 memory: 10484 grad_norm: 0.3225 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7222 recall@top3: 0.6667 prec@top3: 0.5778 recall@top5: 0.8444 prec@top5: 0.4533 loss_action_cls: 0.1557 loss: 0.1557 2022/08/11 10:37:41 - mmengine - INFO - Epoch(train) [1][740/3842] lr: 1.3993e-02 eta: 6:40:40 time: 0.5119 data_time: 0.0141 memory: 10484 grad_norm: 0.3192 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7778 recall@top3: 0.8241 prec@top3: 0.5741 recall@top5: 0.9630 prec@top5: 0.4222 loss_action_cls: 0.1274 loss: 0.1274 2022/08/11 10:37:51 - mmengine - INFO - Epoch(train) [1][760/3842] lr: 1.4168e-02 eta: 6:37:57 time: 0.4868 data_time: 0.0164 memory: 10484 grad_norm: 0.3794 recall@thr=0.5: 0.5198 prec@thr=0.5: 0.6071 recall@top3: 0.7381 prec@top3: 0.6190 recall@top5: 0.9048 prec@top5: 0.4571 loss_action_cls: 0.1301 loss: 0.1301 2022/08/11 10:38:01 - mmengine - INFO - Epoch(train) [1][780/3842] lr: 1.4344e-02 eta: 6:35:48 time: 0.5140 data_time: 0.0150 memory: 10484 grad_norm: 0.3317 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.9537 recall@top3: 0.8611 prec@top3: 0.7222 recall@top5: 0.9815 prec@top5: 0.5000 loss_action_cls: 0.1422 loss: 0.1422 2022/08/11 10:38:11 - mmengine - INFO - Epoch(train) [1][800/3842] lr: 1.4520e-02 eta: 6:33:21 time: 0.4878 data_time: 0.0167 memory: 10484 grad_norm: 0.3407 recall@thr=0.5: 0.3977 prec@thr=0.5: 0.6174 recall@top3: 0.6591 prec@top3: 0.5758 recall@top5: 0.9242 prec@top5: 0.4818 loss_action_cls: 0.1190 loss: 0.1190 2022/08/11 10:38:21 - mmengine - INFO - Epoch(train) [1][820/3842] lr: 1.4695e-02 eta: 6:31:24 time: 0.5137 data_time: 0.0174 memory: 10484 grad_norm: 0.3088 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6021 recall@top3: 0.6198 prec@top3: 0.6042 recall@top5: 0.8333 prec@top5: 0.4500 loss_action_cls: 0.1504 loss: 0.1504 2022/08/11 10:38:31 - mmengine - INFO - Epoch(train) [1][840/3842] lr: 1.4871e-02 eta: 6:29:09 time: 0.4877 data_time: 0.0161 memory: 10484 grad_norm: 0.2972 recall@thr=0.5: 0.4551 prec@thr=0.5: 0.5385 recall@top3: 0.7179 prec@top3: 0.5513 recall@top5: 0.8462 prec@top5: 0.4077 loss_action_cls: 0.1515 loss: 0.1515 2022/08/11 10:38:41 - mmengine - INFO - Epoch(train) [1][860/3842] lr: 1.5047e-02 eta: 6:27:20 time: 0.5108 data_time: 0.0164 memory: 10484 grad_norm: 0.3132 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.6667 recall@top3: 0.7949 prec@top3: 0.6410 recall@top5: 0.9103 prec@top5: 0.4462 loss_action_cls: 0.1558 loss: 0.1558 2022/08/11 10:38:53 - mmengine - INFO - Epoch(train) [1][880/3842] lr: 1.5223e-02 eta: 6:26:29 time: 0.5726 data_time: 0.0938 memory: 10484 grad_norm: 0.3095 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7451 recall@top3: 0.7990 prec@top3: 0.6863 recall@top5: 0.9020 prec@top5: 0.4824 loss_action_cls: 0.1476 loss: 0.1476 2022/08/11 10:39:03 - mmengine - INFO - Epoch(train) [1][900/3842] lr: 1.5398e-02 eta: 6:24:37 time: 0.4985 data_time: 0.0192 memory: 10484 grad_norm: 0.3126 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.6889 recall@top3: 0.7222 prec@top3: 0.4667 recall@top5: 0.8778 prec@top5: 0.3467 loss_action_cls: 0.1332 loss: 0.1332 2022/08/11 10:39:13 - mmengine - INFO - Epoch(train) [1][920/3842] lr: 1.5574e-02 eta: 6:22:59 time: 0.5096 data_time: 0.0154 memory: 10484 grad_norm: 0.3212 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.9615 recall@top3: 0.6987 prec@top3: 0.6667 recall@top5: 0.9000 prec@top5: 0.5077 loss_action_cls: 0.1183 loss: 0.1183 2022/08/11 10:39:26 - mmengine - INFO - Epoch(train) [1][940/3842] lr: 1.5750e-02 eta: 6:22:55 time: 0.6232 data_time: 0.0180 memory: 10484 grad_norm: 0.3351 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.7593 recall@top3: 0.5972 prec@top3: 0.5370 recall@top5: 0.8102 prec@top5: 0.4556 loss_action_cls: 0.1281 loss: 0.1281 2022/08/11 10:39:36 - mmengine - INFO - Epoch(train) [1][960/3842] lr: 1.5925e-02 eta: 6:21:22 time: 0.5102 data_time: 0.0292 memory: 10484 grad_norm: 0.2960 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7381 recall@top3: 0.7500 prec@top3: 0.6190 recall@top5: 0.8929 prec@top5: 0.4714 loss_action_cls: 0.1144 loss: 0.1144 2022/08/11 10:39:46 - mmengine - INFO - Epoch(train) [1][980/3842] lr: 1.6101e-02 eta: 6:20:04 time: 0.5247 data_time: 0.0166 memory: 10484 grad_norm: 0.2993 recall@thr=0.5: 0.5353 prec@thr=0.5: 0.7417 recall@top3: 0.7115 prec@top3: 0.6795 recall@top5: 0.8686 prec@top5: 0.5308 loss_action_cls: 0.1243 loss: 0.1243 2022/08/11 10:39:57 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 10:39:57 - mmengine - INFO - Epoch(train) [1][1000/3842] lr: 1.6277e-02 eta: 6:18:47 time: 0.5227 data_time: 0.0157 memory: 10484 grad_norm: 0.3280 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8646 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 0.9688 prec@top5: 0.5250 loss_action_cls: 0.0985 loss: 0.0985 2022/08/11 10:40:07 - mmengine - INFO - Epoch(train) [1][1020/3842] lr: 1.6453e-02 eta: 6:17:33 time: 0.5221 data_time: 0.0168 memory: 10484 grad_norm: 0.3428 recall@thr=0.5: 0.3741 prec@thr=0.5: 0.5185 recall@top3: 0.6407 prec@top3: 0.6481 recall@top5: 0.7704 prec@top5: 0.4556 loss_action_cls: 0.1514 loss: 0.1514 2022/08/11 10:40:17 - mmengine - INFO - Epoch(train) [1][1040/3842] lr: 1.6628e-02 eta: 6:16:05 time: 0.5002 data_time: 0.0169 memory: 10484 grad_norm: 0.3274 recall@thr=0.5: 0.4325 prec@thr=0.5: 0.4921 recall@top3: 0.6111 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.4286 loss_action_cls: 0.1445 loss: 0.1445 2022/08/11 10:40:28 - mmengine - INFO - Epoch(train) [1][1060/3842] lr: 1.6804e-02 eta: 6:15:03 time: 0.5330 data_time: 0.0138 memory: 10484 grad_norm: 0.3742 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.5139 recall@top3: 0.5972 prec@top3: 0.5278 recall@top5: 0.9792 prec@top5: 0.5333 loss_action_cls: 0.1289 loss: 0.1289 2022/08/11 10:40:38 - mmengine - INFO - Epoch(train) [1][1080/3842] lr: 1.6980e-02 eta: 6:13:37 time: 0.4953 data_time: 0.0171 memory: 10484 grad_norm: 0.3070 recall@thr=0.5: 0.4881 prec@thr=0.5: 0.4048 recall@top3: 0.8095 prec@top3: 0.5000 recall@top5: 0.8929 prec@top5: 0.3429 loss_action_cls: 0.1328 loss: 0.1328 2022/08/11 10:40:48 - mmengine - INFO - Epoch(train) [1][1100/3842] lr: 1.7155e-02 eta: 6:12:29 time: 0.5180 data_time: 0.0157 memory: 10484 grad_norm: 0.3065 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7157 recall@top3: 0.6520 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.5294 loss_action_cls: 0.1205 loss: 0.1205 2022/08/11 10:40:58 - mmengine - INFO - Epoch(train) [1][1120/3842] lr: 1.7331e-02 eta: 6:11:04 time: 0.4891 data_time: 0.0168 memory: 10484 grad_norm: 0.2840 recall@thr=0.5: 0.6121 prec@thr=0.5: 0.7652 recall@top3: 0.7447 prec@top3: 0.6515 recall@top5: 0.8886 prec@top5: 0.4727 loss_action_cls: 0.1182 loss: 0.1182 2022/08/11 10:41:08 - mmengine - INFO - Epoch(train) [1][1140/3842] lr: 1.7507e-02 eta: 6:09:57 time: 0.5134 data_time: 0.0151 memory: 10484 grad_norm: 0.3069 recall@thr=0.5: 0.3205 prec@thr=0.5: 0.3910 recall@top3: 0.3718 prec@top3: 0.2949 recall@top5: 0.6346 prec@top5: 0.2846 loss_action_cls: 0.1336 loss: 0.1336 2022/08/11 10:41:22 - mmengine - INFO - Epoch(train) [1][1160/3842] lr: 1.7683e-02 eta: 6:10:34 time: 0.6719 data_time: 0.0189 memory: 10484 grad_norm: 0.3272 recall@thr=0.5: 0.3667 prec@thr=0.5: 0.7593 recall@top3: 0.6231 prec@top3: 0.6481 recall@top5: 0.8389 prec@top5: 0.5444 loss_action_cls: 0.1250 loss: 0.1250 2022/08/11 10:41:32 - mmengine - INFO - Epoch(train) [1][1180/3842] lr: 1.7858e-02 eta: 6:09:37 time: 0.5244 data_time: 0.0158 memory: 10484 grad_norm: 0.3219 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.4524 recall@top3: 0.6587 prec@top3: 0.3333 recall@top5: 0.8492 prec@top5: 0.2667 loss_action_cls: 0.1242 loss: 0.1242 2022/08/11 10:41:42 - mmengine - INFO - Epoch(train) [1][1200/3842] lr: 1.8034e-02 eta: 6:08:23 time: 0.4962 data_time: 0.0164 memory: 10484 grad_norm: 0.3218 recall@thr=0.5: 0.5958 prec@thr=0.5: 0.7333 recall@top3: 0.6333 prec@top3: 0.6167 recall@top5: 0.7875 prec@top5: 0.4800 loss_action_cls: 0.1298 loss: 0.1298 2022/08/11 10:41:52 - mmengine - INFO - Epoch(train) [1][1220/3842] lr: 1.8210e-02 eta: 6:07:30 time: 0.5252 data_time: 0.0160 memory: 10484 grad_norm: 0.3257 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.6750 recall@top3: 0.5625 prec@top3: 0.6000 recall@top5: 0.7833 prec@top5: 0.5000 loss_action_cls: 0.1518 loss: 0.1518 2022/08/11 10:42:04 - mmengine - INFO - Epoch(train) [1][1240/3842] lr: 1.8385e-02 eta: 6:07:15 time: 0.5882 data_time: 0.0206 memory: 10484 grad_norm: 0.3063 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.4954 recall@top3: 0.7685 prec@top3: 0.6111 recall@top5: 0.8611 prec@top5: 0.4111 loss_action_cls: 0.1326 loss: 0.1326 2022/08/11 10:42:15 - mmengine - INFO - Epoch(train) [1][1260/3842] lr: 1.8561e-02 eta: 6:06:23 time: 0.5248 data_time: 0.0197 memory: 10484 grad_norm: 0.3232 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.8922 recall@top3: 0.8235 prec@top3: 0.8235 recall@top5: 0.9510 prec@top5: 0.5765 loss_action_cls: 0.1251 loss: 0.1251 2022/08/11 10:42:25 - mmengine - INFO - Epoch(train) [1][1280/3842] lr: 1.8737e-02 eta: 6:05:14 time: 0.4937 data_time: 0.0170 memory: 10484 grad_norm: 0.3349 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5625 recall@top3: 0.7708 prec@top3: 0.6250 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.1173 loss: 0.1173 2022/08/11 10:42:36 - mmengine - INFO - Epoch(train) [1][1300/3842] lr: 1.8913e-02 eta: 6:04:38 time: 0.5466 data_time: 0.0161 memory: 10484 grad_norm: 0.3165 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5799 recall@top3: 0.7257 prec@top3: 0.7361 recall@top5: 0.8299 prec@top5: 0.5000 loss_action_cls: 0.1518 loss: 0.1518 2022/08/11 10:42:53 - mmengine - INFO - Epoch(train) [1][1320/3842] lr: 1.9088e-02 eta: 6:07:19 time: 0.8971 data_time: 0.0169 memory: 10484 grad_norm: 0.2853 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7193 recall@top3: 0.7412 prec@top3: 0.6667 recall@top5: 0.9123 prec@top5: 0.4947 loss_action_cls: 0.1411 loss: 0.1411 2022/08/11 10:43:04 - mmengine - INFO - Epoch(train) [1][1340/3842] lr: 1.9264e-02 eta: 6:06:23 time: 0.5142 data_time: 0.0179 memory: 10484 grad_norm: 0.2812 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8333 recall@top3: 0.7625 prec@top3: 0.7833 recall@top5: 0.9708 prec@top5: 0.6100 loss_action_cls: 0.1411 loss: 0.1411 2022/08/11 10:43:14 - mmengine - INFO - Epoch(train) [1][1360/3842] lr: 1.9440e-02 eta: 6:05:28 time: 0.5134 data_time: 0.0155 memory: 10484 grad_norm: 0.3005 recall@thr=0.5: 0.5177 prec@thr=0.5: 0.5625 recall@top3: 0.6396 prec@top3: 0.5208 recall@top5: 0.7458 prec@top5: 0.3625 loss_action_cls: 0.1168 loss: 0.1168 2022/08/11 10:43:24 - mmengine - INFO - Epoch(train) [1][1380/3842] lr: 1.9615e-02 eta: 6:04:30 time: 0.5071 data_time: 0.0174 memory: 10484 grad_norm: 0.3056 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8182 recall@top3: 0.8485 prec@top3: 0.6364 recall@top5: 0.8485 prec@top5: 0.3818 loss_action_cls: 0.1035 loss: 0.1035 2022/08/11 10:43:34 - mmengine - INFO - Epoch(train) [1][1400/3842] lr: 1.9791e-02 eta: 6:03:33 time: 0.5036 data_time: 0.0198 memory: 10484 grad_norm: 0.2776 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.6538 recall@top3: 0.6923 prec@top3: 0.5641 recall@top5: 0.9808 prec@top5: 0.4615 loss_action_cls: 0.1167 loss: 0.1167 2022/08/11 10:43:44 - mmengine - INFO - Epoch(train) [1][1420/3842] lr: 1.9967e-02 eta: 6:02:41 time: 0.5120 data_time: 0.0167 memory: 10484 grad_norm: 0.3404 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7431 recall@top3: 0.7639 prec@top3: 0.7222 recall@top5: 0.8472 prec@top5: 0.4667 loss_action_cls: 0.1171 loss: 0.1171 2022/08/11 10:43:55 - mmengine - INFO - Epoch(train) [1][1440/3842] lr: 2.0143e-02 eta: 6:01:51 time: 0.5134 data_time: 0.0164 memory: 10484 grad_norm: 0.3170 recall@thr=0.5: 0.3636 prec@thr=0.5: 0.6136 recall@top3: 0.5795 prec@top3: 0.5909 recall@top5: 0.8939 prec@top5: 0.5000 loss_action_cls: 0.1496 loss: 0.1496 2022/08/11 10:44:05 - mmengine - INFO - Epoch(train) [1][1460/3842] lr: 2.0318e-02 eta: 6:00:55 time: 0.4998 data_time: 0.0216 memory: 10484 grad_norm: 0.3012 recall@thr=0.5: 0.5913 prec@thr=0.5: 0.6786 recall@top3: 0.7381 prec@top3: 0.5714 recall@top5: 0.9365 prec@top5: 0.4571 loss_action_cls: 0.1125 loss: 0.1125 2022/08/11 10:44:15 - mmengine - INFO - Epoch(train) [1][1480/3842] lr: 2.0494e-02 eta: 6:00:07 time: 0.5143 data_time: 0.0140 memory: 10484 grad_norm: 0.2610 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7095 recall@top3: 0.8333 prec@top3: 0.6905 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.1317 loss: 0.1317 2022/08/11 10:44:25 - mmengine - INFO - Epoch(train) [1][1500/3842] lr: 2.0670e-02 eta: 5:59:17 time: 0.5068 data_time: 0.0177 memory: 10484 grad_norm: 0.2676 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6488 recall@top3: 0.7143 prec@top3: 0.4762 recall@top5: 0.9167 prec@top5: 0.3857 loss_action_cls: 0.1140 loss: 0.1140 2022/08/11 10:44:35 - mmengine - INFO - Epoch(train) [1][1520/3842] lr: 2.0845e-02 eta: 5:58:30 time: 0.5105 data_time: 0.0162 memory: 10484 grad_norm: 0.2606 recall@thr=0.5: 0.6509 prec@thr=0.5: 0.8421 recall@top3: 0.6982 prec@top3: 0.6316 recall@top5: 0.8912 prec@top5: 0.5053 loss_action_cls: 0.1157 loss: 0.1157 2022/08/11 10:44:46 - mmengine - INFO - Epoch(train) [1][1540/3842] lr: 2.1021e-02 eta: 5:57:46 time: 0.5168 data_time: 0.0216 memory: 10484 grad_norm: 0.2983 recall@thr=0.5: 0.3843 prec@thr=0.5: 0.5000 recall@top3: 0.6667 prec@top3: 0.5000 recall@top5: 0.8287 prec@top5: 0.3889 loss_action_cls: 0.1256 loss: 0.1256 2022/08/11 10:44:55 - mmengine - INFO - Epoch(train) [1][1560/3842] lr: 2.1197e-02 eta: 5:56:50 time: 0.4878 data_time: 0.0165 memory: 10484 grad_norm: 0.3051 recall@thr=0.5: 0.4394 prec@thr=0.5: 0.4697 recall@top3: 0.6667 prec@top3: 0.4545 recall@top5: 0.7727 prec@top5: 0.3273 loss_action_cls: 0.1225 loss: 0.1225 2022/08/11 10:45:07 - mmengine - INFO - Epoch(train) [1][1580/3842] lr: 2.1373e-02 eta: 5:56:35 time: 0.5741 data_time: 0.0159 memory: 10484 grad_norm: 0.2658 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7451 recall@top3: 0.7941 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.4588 loss_action_cls: 0.1243 loss: 0.1243 2022/08/11 10:45:17 - mmengine - INFO - Epoch(train) [1][1600/3842] lr: 2.1548e-02 eta: 5:55:53 time: 0.5142 data_time: 0.0177 memory: 10484 grad_norm: 0.3216 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7917 recall@top3: 0.7500 prec@top3: 0.5208 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.1319 loss: 0.1319 2022/08/11 10:45:28 - mmengine - INFO - Epoch(train) [1][1620/3842] lr: 2.1724e-02 eta: 5:55:19 time: 0.5299 data_time: 0.0162 memory: 10484 grad_norm: 0.2778 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.7273 recall@top3: 0.6742 prec@top3: 0.6061 recall@top5: 0.9394 prec@top5: 0.5091 loss_action_cls: 0.1259 loss: 0.1259 2022/08/11 10:45:38 - mmengine - INFO - Epoch(train) [1][1640/3842] lr: 2.1900e-02 eta: 5:54:26 time: 0.4883 data_time: 0.0174 memory: 10484 grad_norm: 0.2523 recall@thr=0.5: 0.4702 prec@thr=0.5: 0.5482 recall@top3: 0.6237 prec@top3: 0.5439 recall@top5: 0.7904 prec@top5: 0.4211 loss_action_cls: 0.1397 loss: 0.1397 2022/08/11 10:45:48 - mmengine - INFO - Epoch(train) [1][1660/3842] lr: 2.2075e-02 eta: 5:53:48 time: 0.5178 data_time: 0.0144 memory: 10484 grad_norm: 0.2891 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.5351 recall@top3: 0.6272 prec@top3: 0.5789 recall@top5: 0.9211 prec@top5: 0.4947 loss_action_cls: 0.1144 loss: 0.1144 2022/08/11 10:45:58 - mmengine - INFO - Epoch(train) [1][1680/3842] lr: 2.2251e-02 eta: 5:52:57 time: 0.4871 data_time: 0.0176 memory: 10484 grad_norm: 0.2685 recall@thr=0.5: 0.4744 prec@thr=0.5: 0.7564 recall@top3: 0.6026 prec@top3: 0.4872 recall@top5: 0.7949 prec@top5: 0.4000 loss_action_cls: 0.1124 loss: 0.1124 2022/08/11 10:46:08 - mmengine - INFO - Epoch(train) [1][1700/3842] lr: 2.2427e-02 eta: 5:52:24 time: 0.5263 data_time: 0.0130 memory: 10484 grad_norm: 0.2824 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.6667 recall@top3: 0.6458 prec@top3: 0.5000 recall@top5: 0.7958 prec@top5: 0.3500 loss_action_cls: 0.1211 loss: 0.1211 2022/08/11 10:46:19 - mmengine - INFO - Epoch(train) [1][1720/3842] lr: 2.2602e-02 eta: 5:51:57 time: 0.5390 data_time: 0.0176 memory: 10484 grad_norm: 0.2948 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.8718 recall@top3: 0.7949 prec@top3: 0.6410 recall@top5: 0.9487 prec@top5: 0.4462 loss_action_cls: 0.1432 loss: 0.1432 2022/08/11 10:46:34 - mmengine - INFO - Epoch(train) [1][1740/3842] lr: 2.2778e-02 eta: 5:52:58 time: 0.7476 data_time: 0.0190 memory: 10484 grad_norm: 0.2576 recall@thr=0.5: 0.3889 prec@thr=0.5: 0.5000 recall@top3: 0.4778 prec@top3: 0.5278 recall@top5: 0.7611 prec@top5: 0.4333 loss_action_cls: 0.1270 loss: 0.1270 2022/08/11 10:46:45 - mmengine - INFO - Epoch(train) [1][1760/3842] lr: 2.2954e-02 eta: 5:52:28 time: 0.5341 data_time: 0.0216 memory: 10484 grad_norm: 0.2619 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.6364 recall@top3: 0.7576 prec@top3: 0.3939 recall@top5: 0.9545 prec@top5: 0.3091 loss_action_cls: 0.1209 loss: 0.1209 2022/08/11 10:46:57 - mmengine - INFO - Epoch(train) [1][1780/3842] lr: 2.3130e-02 eta: 5:52:31 time: 0.6116 data_time: 0.0180 memory: 10484 grad_norm: 0.2911 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.7444 recall@top3: 0.6556 prec@top3: 0.6667 recall@top5: 0.8000 prec@top5: 0.4667 loss_action_cls: 0.0937 loss: 0.0937 2022/08/11 10:47:07 - mmengine - INFO - Epoch(train) [1][1800/3842] lr: 2.3305e-02 eta: 5:51:58 time: 0.5244 data_time: 0.0198 memory: 10484 grad_norm: 0.2986 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5111 recall@top3: 0.5556 prec@top3: 0.4000 recall@top5: 0.8889 prec@top5: 0.3467 loss_action_cls: 0.1073 loss: 0.1073 2022/08/11 10:47:20 - mmengine - INFO - Epoch(train) [1][1820/3842] lr: 2.3481e-02 eta: 5:52:02 time: 0.6155 data_time: 0.0213 memory: 10484 grad_norm: 0.2423 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8529 recall@top3: 0.8971 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.4588 loss_action_cls: 0.0984 loss: 0.0984 2022/08/11 10:47:30 - mmengine - INFO - Epoch(train) [1][1840/3842] lr: 2.3657e-02 eta: 5:51:35 time: 0.5386 data_time: 0.0224 memory: 10484 grad_norm: 0.2720 recall@thr=0.5: 0.4644 prec@thr=0.5: 0.5402 recall@top3: 0.6068 prec@top3: 0.5303 recall@top5: 0.7826 prec@top5: 0.4273 loss_action_cls: 0.1160 loss: 0.1160 2022/08/11 10:47:41 - mmengine - INFO - Epoch(train) [1][1860/3842] lr: 2.3832e-02 eta: 5:51:03 time: 0.5258 data_time: 0.0167 memory: 10484 grad_norm: 0.2725 recall@thr=0.5: 0.4461 prec@thr=0.5: 0.6176 recall@top3: 0.7451 prec@top3: 0.6275 recall@top5: 0.8824 prec@top5: 0.4588 loss_action_cls: 0.1214 loss: 0.1214 2022/08/11 10:47:51 - mmengine - INFO - Epoch(train) [1][1880/3842] lr: 2.4008e-02 eta: 5:50:17 time: 0.4865 data_time: 0.0160 memory: 10484 grad_norm: 0.2734 recall@thr=0.5: 0.8141 prec@thr=0.5: 0.7436 recall@top3: 0.8654 prec@top3: 0.4615 recall@top5: 0.9103 prec@top5: 0.3077 loss_action_cls: 0.1236 loss: 0.1236 2022/08/11 10:48:01 - mmengine - INFO - Epoch(train) [1][1900/3842] lr: 2.4184e-02 eta: 5:49:40 time: 0.5091 data_time: 0.0136 memory: 10484 grad_norm: 0.2675 recall@thr=0.5: 0.6781 prec@thr=0.5: 0.6094 recall@top3: 0.8219 prec@top3: 0.6667 recall@top5: 0.9438 prec@top5: 0.4750 loss_action_cls: 0.1246 loss: 0.1246 2022/08/11 10:48:11 - mmengine - INFO - Epoch(train) [1][1920/3842] lr: 2.4360e-02 eta: 5:48:56 time: 0.4896 data_time: 0.0179 memory: 10484 grad_norm: 0.2640 recall@thr=0.5: 0.4372 prec@thr=0.5: 0.8077 recall@top3: 0.7256 prec@top3: 0.6282 recall@top5: 0.8795 prec@top5: 0.4615 loss_action_cls: 0.1011 loss: 0.1011 2022/08/11 10:48:24 - mmengine - INFO - Epoch(train) [1][1940/3842] lr: 2.4535e-02 eta: 5:49:18 time: 0.6623 data_time: 0.0158 memory: 10484 grad_norm: 0.2666 recall@thr=0.5: 0.4881 prec@thr=0.5: 0.7857 recall@top3: 0.7143 prec@top3: 0.5714 recall@top5: 0.9107 prec@top5: 0.4571 loss_action_cls: 0.1074 loss: 0.1074 2022/08/11 10:48:34 - mmengine - INFO - Epoch(train) [1][1960/3842] lr: 2.4711e-02 eta: 5:48:37 time: 0.4946 data_time: 0.0234 memory: 10484 grad_norm: 0.2664 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.9231 recall@top3: 0.8462 prec@top3: 0.8718 recall@top5: 0.9231 prec@top5: 0.5846 loss_action_cls: 0.1240 loss: 0.1240 2022/08/11 10:48:44 - mmengine - INFO - Epoch(train) [1][1980/3842] lr: 2.4887e-02 eta: 5:48:07 time: 0.5242 data_time: 0.0132 memory: 10484 grad_norm: 0.2753 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.3417 recall@top3: 0.6500 prec@top3: 0.4000 recall@top5: 0.7083 prec@top5: 0.2700 loss_action_cls: 0.1220 loss: 0.1220 2022/08/11 10:48:54 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 10:48:54 - mmengine - INFO - Epoch(train) [1][2000/3842] lr: 2.5062e-02 eta: 5:47:28 time: 0.4962 data_time: 0.0180 memory: 10484 grad_norm: 0.2622 recall@thr=0.5: 0.5880 prec@thr=0.5: 0.6806 recall@top3: 0.7731 prec@top3: 0.6481 recall@top5: 0.8657 prec@top5: 0.4444 loss_action_cls: 0.1082 loss: 0.1082 2022/08/11 10:49:05 - mmengine - INFO - Epoch(train) [1][2020/3842] lr: 2.5238e-02 eta: 5:46:59 time: 0.5254 data_time: 0.0163 memory: 10484 grad_norm: 0.2851 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.5841 recall@top3: 0.7381 prec@top3: 0.5556 recall@top5: 0.9127 prec@top5: 0.4286 loss_action_cls: 0.1209 loss: 0.1209 2022/08/11 10:49:14 - mmengine - INFO - Epoch(train) [1][2040/3842] lr: 2.5414e-02 eta: 5:46:18 time: 0.4896 data_time: 0.0174 memory: 10484 grad_norm: 0.2659 recall@thr=0.5: 0.8136 prec@thr=0.5: 0.7273 recall@top3: 0.7000 prec@top3: 0.6667 recall@top5: 0.8621 prec@top5: 0.4909 loss_action_cls: 0.1252 loss: 0.1252 2022/08/11 10:49:25 - mmengine - INFO - Epoch(train) [1][2060/3842] lr: 2.5590e-02 eta: 5:45:45 time: 0.5093 data_time: 0.0153 memory: 10484 grad_norm: 0.2604 recall@thr=0.5: 0.5590 prec@thr=0.5: 0.8056 recall@top3: 0.8111 prec@top3: 0.8611 recall@top5: 0.9667 prec@top5: 0.6333 loss_action_cls: 0.0929 loss: 0.0929 2022/08/11 10:49:35 - mmengine - INFO - Epoch(train) [1][2080/3842] lr: 2.5765e-02 eta: 5:45:15 time: 0.5156 data_time: 0.0156 memory: 10484 grad_norm: 0.2762 recall@thr=0.5: 0.5773 prec@thr=0.5: 0.7933 recall@top3: 0.6893 prec@top3: 0.7733 recall@top5: 0.8880 prec@top5: 0.6080 loss_action_cls: 0.1124 loss: 0.1124 2022/08/11 10:49:46 - mmengine - INFO - Epoch(train) [1][2100/3842] lr: 2.5941e-02 eta: 5:44:52 time: 0.5362 data_time: 0.0325 memory: 10484 grad_norm: 0.2658 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.8750 recall@top3: 0.8021 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.1447 loss: 0.1447 2022/08/11 10:49:56 - mmengine - INFO - Epoch(train) [1][2120/3842] lr: 2.6117e-02 eta: 5:44:20 time: 0.5118 data_time: 0.0187 memory: 10484 grad_norm: 0.2685 recall@thr=0.5: 0.8667 prec@thr=0.5: 1.0000 recall@top3: 0.9667 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.1065 loss: 0.1065 2022/08/11 10:50:07 - mmengine - INFO - Epoch(train) [1][2140/3842] lr: 2.6292e-02 eta: 5:44:09 time: 0.5705 data_time: 0.0183 memory: 10484 grad_norm: 0.2781 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7333 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4400 loss_action_cls: 0.1178 loss: 0.1178 2022/08/11 10:50:22 - mmengine - INFO - Epoch(train) [1][2160/3842] lr: 2.6468e-02 eta: 5:44:56 time: 0.7424 data_time: 0.0172 memory: 10484 grad_norm: 0.2899 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.6071 recall@top3: 0.5893 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.1188 loss: 0.1188 2022/08/11 10:50:32 - mmengine - INFO - Epoch(train) [1][2180/3842] lr: 2.6644e-02 eta: 5:44:22 time: 0.5035 data_time: 0.0234 memory: 10484 grad_norm: 0.2462 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7135 recall@top3: 0.7292 prec@top3: 0.6875 recall@top5: 0.8958 prec@top5: 0.5250 loss_action_cls: 0.0929 loss: 0.0929 2022/08/11 10:50:43 - mmengine - INFO - Epoch(train) [1][2200/3842] lr: 2.6820e-02 eta: 5:43:52 time: 0.5135 data_time: 0.0161 memory: 10484 grad_norm: 0.2520 recall@thr=0.5: 0.8590 prec@thr=0.5: 0.7436 recall@top3: 0.8205 prec@top3: 0.6154 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0985 loss: 0.0985 2022/08/11 10:50:52 - mmengine - INFO - Epoch(train) [1][2220/3842] lr: 2.6995e-02 eta: 5:43:16 time: 0.4934 data_time: 0.0174 memory: 10484 grad_norm: 0.2705 recall@thr=0.5: 0.5441 prec@thr=0.5: 0.6275 recall@top3: 0.5833 prec@top3: 0.5686 recall@top5: 0.8480 prec@top5: 0.4706 loss_action_cls: 0.1150 loss: 0.1150 2022/08/11 10:51:03 - mmengine - INFO - Epoch(train) [1][2240/3842] lr: 2.7171e-02 eta: 5:42:47 time: 0.5155 data_time: 0.0153 memory: 10484 grad_norm: 0.2588 recall@thr=0.5: 0.4855 prec@thr=0.5: 0.5145 recall@top3: 0.6377 prec@top3: 0.5362 recall@top5: 0.8551 prec@top5: 0.4174 loss_action_cls: 0.0922 loss: 0.0922 2022/08/11 10:51:13 - mmengine - INFO - Epoch(train) [1][2260/3842] lr: 2.7347e-02 eta: 5:42:15 time: 0.5024 data_time: 0.0165 memory: 10484 grad_norm: 0.2592 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6111 recall@top3: 0.7111 prec@top3: 0.6000 recall@top5: 0.8778 prec@top5: 0.4400 loss_action_cls: 0.0991 loss: 0.0991 2022/08/11 10:51:23 - mmengine - INFO - Epoch(train) [1][2280/3842] lr: 2.7522e-02 eta: 5:41:50 time: 0.5250 data_time: 0.0167 memory: 10484 grad_norm: 0.2566 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.7692 recall@top3: 0.8974 prec@top3: 0.7179 recall@top5: 0.8974 prec@top5: 0.4308 loss_action_cls: 0.1038 loss: 0.1038 2022/08/11 10:51:34 - mmengine - INFO - Epoch(train) [1][2300/3842] lr: 2.7698e-02 eta: 5:41:25 time: 0.5255 data_time: 0.0171 memory: 10484 grad_norm: 0.2705 recall@thr=0.5: 0.5956 prec@thr=0.5: 0.5778 recall@top3: 0.8422 prec@top3: 0.6000 recall@top5: 0.9133 prec@top5: 0.4133 loss_action_cls: 0.1096 loss: 0.1096 2022/08/11 10:51:44 - mmengine - INFO - Epoch(train) [1][2320/3842] lr: 2.7874e-02 eta: 5:40:52 time: 0.4953 data_time: 0.0196 memory: 10484 grad_norm: 0.2607 recall@thr=0.5: 0.6615 prec@thr=0.5: 0.6979 recall@top3: 0.6615 prec@top3: 0.5000 recall@top5: 0.9167 prec@top5: 0.4375 loss_action_cls: 0.1115 loss: 0.1115 2022/08/11 10:51:54 - mmengine - INFO - Epoch(train) [1][2340/3842] lr: 2.8050e-02 eta: 5:40:25 time: 0.5170 data_time: 0.0144 memory: 10484 grad_norm: 0.2626 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.5159 recall@top3: 0.5556 prec@top3: 0.3810 recall@top5: 0.6825 prec@top5: 0.3048 loss_action_cls: 0.1214 loss: 0.1214 2022/08/11 10:52:04 - mmengine - INFO - Epoch(train) [1][2360/3842] lr: 2.8225e-02 eta: 5:39:53 time: 0.4975 data_time: 0.0165 memory: 10484 grad_norm: 0.2501 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.8235 recall@top3: 0.8402 prec@top3: 0.7059 recall@top5: 0.9529 prec@top5: 0.4941 loss_action_cls: 0.1231 loss: 0.1231 2022/08/11 10:52:14 - mmengine - INFO - Epoch(train) [1][2380/3842] lr: 2.8401e-02 eta: 5:39:24 time: 0.5087 data_time: 0.0139 memory: 10484 grad_norm: 0.2614 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.6154 recall@top3: 0.9231 prec@top3: 0.4103 recall@top5: 1.0000 prec@top5: 0.2615 loss_action_cls: 0.1090 loss: 0.1090 2022/08/11 10:52:24 - mmengine - INFO - Epoch(train) [1][2400/3842] lr: 2.8577e-02 eta: 5:38:51 time: 0.4913 data_time: 0.0178 memory: 10484 grad_norm: 0.2674 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7500 recall@top3: 0.6667 prec@top3: 0.5476 recall@top5: 0.8869 prec@top5: 0.4429 loss_action_cls: 0.1220 loss: 0.1220 2022/08/11 10:52:34 - mmengine - INFO - Epoch(train) [1][2420/3842] lr: 2.8752e-02 eta: 5:38:24 time: 0.5138 data_time: 0.0154 memory: 10484 grad_norm: 0.2980 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6500 recall@top3: 0.6444 prec@top3: 0.5778 recall@top5: 0.7333 prec@top5: 0.4000 loss_action_cls: 0.1193 loss: 0.1193 2022/08/11 10:52:44 - mmengine - INFO - Epoch(train) [1][2440/3842] lr: 2.8928e-02 eta: 5:37:51 time: 0.4874 data_time: 0.0164 memory: 10484 grad_norm: 0.2742 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8068 recall@top3: 0.8447 prec@top3: 0.6818 recall@top5: 0.9356 prec@top5: 0.4727 loss_action_cls: 0.1173 loss: 0.1173 2022/08/11 10:52:54 - mmengine - INFO - Epoch(train) [1][2460/3842] lr: 2.9104e-02 eta: 5:37:24 time: 0.5119 data_time: 0.0142 memory: 10484 grad_norm: 0.2572 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6310 recall@top3: 0.7619 prec@top3: 0.5714 recall@top5: 0.8690 prec@top5: 0.4000 loss_action_cls: 0.1064 loss: 0.1064 2022/08/11 10:53:04 - mmengine - INFO - Epoch(train) [1][2480/3842] lr: 2.9280e-02 eta: 5:36:52 time: 0.4890 data_time: 0.0178 memory: 10484 grad_norm: 0.2402 recall@thr=0.5: 0.5125 prec@thr=0.5: 0.6833 recall@top3: 0.6583 prec@top3: 0.6000 recall@top5: 0.9292 prec@top5: 0.5300 loss_action_cls: 0.1143 loss: 0.1143 2022/08/11 10:53:14 - mmengine - INFO - Epoch(train) [1][2500/3842] lr: 2.9455e-02 eta: 5:36:26 time: 0.5114 data_time: 0.0148 memory: 10484 grad_norm: 0.2845 recall@thr=0.5: 0.5577 prec@thr=0.5: 0.7564 recall@top3: 0.7468 prec@top3: 0.7179 recall@top5: 0.9423 prec@top5: 0.5538 loss_action_cls: 0.0978 loss: 0.0978 2022/08/11 10:53:24 - mmengine - INFO - Epoch(train) [1][2520/3842] lr: 2.9631e-02 eta: 5:35:53 time: 0.4882 data_time: 0.0178 memory: 10484 grad_norm: 0.2589 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7639 recall@top3: 0.7917 prec@top3: 0.7500 recall@top5: 0.8333 prec@top5: 0.4833 loss_action_cls: 0.1168 loss: 0.1168 2022/08/11 10:53:34 - mmengine - INFO - Epoch(train) [1][2540/3842] lr: 2.9807e-02 eta: 5:35:24 time: 0.4981 data_time: 0.0144 memory: 10484 grad_norm: 0.2568 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.6944 recall@top3: 0.9206 prec@top3: 0.5397 recall@top5: 0.9762 prec@top5: 0.3619 loss_action_cls: 0.1140 loss: 0.1140 2022/08/11 10:53:44 - mmengine - INFO - Epoch(train) [1][2560/3842] lr: 2.9982e-02 eta: 5:34:54 time: 0.4937 data_time: 0.0168 memory: 10484 grad_norm: 0.2417 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.8571 recall@top3: 0.6984 prec@top3: 0.5873 recall@top5: 0.8373 prec@top5: 0.4381 loss_action_cls: 0.1023 loss: 0.1023 2022/08/11 10:53:54 - mmengine - INFO - Epoch(train) [1][2580/3842] lr: 3.0158e-02 eta: 5:34:31 time: 0.5158 data_time: 0.0134 memory: 10484 grad_norm: 0.2418 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6228 recall@top3: 0.6447 prec@top3: 0.6316 recall@top5: 0.9561 prec@top5: 0.5684 loss_action_cls: 0.1015 loss: 0.1015 2022/08/11 10:54:04 - mmengine - INFO - Epoch(train) [1][2600/3842] lr: 3.0334e-02 eta: 5:34:05 time: 0.5071 data_time: 0.0164 memory: 10484 grad_norm: 0.2336 recall@thr=0.5: 0.4941 prec@thr=0.5: 0.8235 recall@top3: 0.6608 prec@top3: 0.7059 recall@top5: 0.8784 prec@top5: 0.6118 loss_action_cls: 0.1123 loss: 0.1123 2022/08/11 10:54:15 - mmengine - INFO - Epoch(train) [1][2620/3842] lr: 3.0510e-02 eta: 5:33:49 time: 0.5410 data_time: 0.0207 memory: 10484 grad_norm: 0.2534 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7111 recall@top3: 0.8556 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4933 loss_action_cls: 0.1121 loss: 0.1121 2022/08/11 10:54:26 - mmengine - INFO - Epoch(train) [1][2640/3842] lr: 3.0685e-02 eta: 5:33:30 time: 0.5309 data_time: 0.0160 memory: 10484 grad_norm: 0.2467 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8704 recall@top3: 0.8611 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.1149 loss: 0.1149 2022/08/11 10:54:36 - mmengine - INFO - Epoch(train) [1][2660/3842] lr: 3.0861e-02 eta: 5:33:05 time: 0.5108 data_time: 0.0182 memory: 10484 grad_norm: 0.2690 recall@thr=0.5: 0.7108 prec@thr=0.5: 0.8235 recall@top3: 0.7451 prec@top3: 0.6667 recall@top5: 0.8578 prec@top5: 0.4824 loss_action_cls: 0.0940 loss: 0.0940 2022/08/11 10:54:46 - mmengine - INFO - Epoch(train) [1][2680/3842] lr: 3.1037e-02 eta: 5:32:43 time: 0.5182 data_time: 0.0173 memory: 10484 grad_norm: 0.2808 recall@thr=0.5: 0.6311 prec@thr=0.5: 0.9333 recall@top3: 0.6544 prec@top3: 0.8000 recall@top5: 0.7733 prec@top5: 0.5867 loss_action_cls: 0.1072 loss: 0.1072 2022/08/11 10:54:57 - mmengine - INFO - Epoch(train) [1][2700/3842] lr: 3.1212e-02 eta: 5:32:21 time: 0.5154 data_time: 0.0170 memory: 10484 grad_norm: 0.2313 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.4231 recall@top3: 0.6731 prec@top3: 0.4872 recall@top5: 0.9038 prec@top5: 0.3538 loss_action_cls: 0.1152 loss: 0.1152 2022/08/11 10:55:06 - mmengine - INFO - Epoch(train) [1][2720/3842] lr: 3.1388e-02 eta: 5:31:52 time: 0.4915 data_time: 0.0171 memory: 10484 grad_norm: 0.2672 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.5833 recall@top3: 0.7188 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4750 loss_action_cls: 0.1017 loss: 0.1017 2022/08/11 10:55:17 - mmengine - INFO - Epoch(train) [1][2740/3842] lr: 3.1564e-02 eta: 5:31:28 time: 0.5076 data_time: 0.0144 memory: 10484 grad_norm: 0.2623 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.6354 recall@top3: 0.7917 prec@top3: 0.5000 recall@top5: 0.9062 prec@top5: 0.3750 loss_action_cls: 0.0948 loss: 0.0948 2022/08/11 10:55:30 - mmengine - INFO - Epoch(train) [1][2760/3842] lr: 3.1740e-02 eta: 5:31:44 time: 0.6614 data_time: 0.0210 memory: 10484 grad_norm: 0.2573 recall@thr=0.5: 0.4394 prec@thr=0.5: 0.7121 recall@top3: 0.5455 prec@top3: 0.4848 recall@top5: 0.7879 prec@top5: 0.4182 loss_action_cls: 0.1239 loss: 0.1239 2022/08/11 10:55:40 - mmengine - INFO - Epoch(train) [1][2780/3842] lr: 3.1915e-02 eta: 5:31:15 time: 0.4919 data_time: 0.0177 memory: 10484 grad_norm: 0.2458 recall@thr=0.5: 0.6177 prec@thr=0.5: 0.6250 recall@top3: 0.7052 prec@top3: 0.5625 recall@top5: 0.7937 prec@top5: 0.3875 loss_action_cls: 0.0891 loss: 0.0891 2022/08/11 10:55:50 - mmengine - INFO - Epoch(train) [1][2800/3842] lr: 3.2091e-02 eta: 5:30:54 time: 0.5160 data_time: 0.0169 memory: 10484 grad_norm: 0.2502 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7037 recall@top3: 0.8611 prec@top3: 0.5741 recall@top5: 0.8611 prec@top5: 0.3444 loss_action_cls: 0.1074 loss: 0.1074 2022/08/11 10:56:00 - mmengine - INFO - Epoch(train) [1][2820/3842] lr: 3.2267e-02 eta: 5:30:27 time: 0.4956 data_time: 0.0177 memory: 10484 grad_norm: 0.2687 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.5000 recall@top3: 0.6458 prec@top3: 0.4444 recall@top5: 0.7500 prec@top5: 0.3167 loss_action_cls: 0.1023 loss: 0.1023 2022/08/11 10:56:10 - mmengine - INFO - Epoch(train) [1][2840/3842] lr: 3.2442e-02 eta: 5:30:05 time: 0.5142 data_time: 0.0152 memory: 10484 grad_norm: 0.2676 recall@thr=0.5: 0.4103 prec@thr=0.5: 0.4615 recall@top3: 0.7692 prec@top3: 0.4103 recall@top5: 0.8077 prec@top5: 0.2615 loss_action_cls: 0.0992 loss: 0.0992 2022/08/11 10:56:20 - mmengine - INFO - Epoch(train) [1][2860/3842] lr: 3.2618e-02 eta: 5:29:43 time: 0.5134 data_time: 0.0170 memory: 10484 grad_norm: 0.2449 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.3500 recall@top3: 0.6000 prec@top3: 0.3333 recall@top5: 0.7000 prec@top5: 0.2600 loss_action_cls: 0.0984 loss: 0.0984 2022/08/11 10:56:31 - mmengine - INFO - Epoch(train) [1][2880/3842] lr: 3.2794e-02 eta: 5:29:22 time: 0.5154 data_time: 0.0176 memory: 10484 grad_norm: 0.2553 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5556 recall@top3: 0.6667 prec@top3: 0.4889 recall@top5: 0.8222 prec@top5: 0.3733 loss_action_cls: 0.0995 loss: 0.0995 2022/08/11 10:56:41 - mmengine - INFO - Epoch(train) [1][2900/3842] lr: 3.2970e-02 eta: 5:28:54 time: 0.4882 data_time: 0.0168 memory: 10484 grad_norm: 0.2357 recall@thr=0.5: 0.4461 prec@thr=0.5: 0.6471 recall@top3: 0.6127 prec@top3: 0.5294 recall@top5: 0.7010 prec@top5: 0.3765 loss_action_cls: 0.1135 loss: 0.1135 2022/08/11 10:56:51 - mmengine - INFO - Epoch(train) [1][2920/3842] lr: 3.3145e-02 eta: 5:28:33 time: 0.5133 data_time: 0.0153 memory: 10484 grad_norm: 0.2502 recall@thr=0.5: 0.6725 prec@thr=0.5: 0.7255 recall@top3: 0.8314 prec@top3: 0.6667 recall@top5: 0.9471 prec@top5: 0.4941 loss_action_cls: 0.1042 loss: 0.1042 2022/08/11 10:57:01 - mmengine - INFO - Epoch(train) [1][2940/3842] lr: 3.3321e-02 eta: 5:28:12 time: 0.5165 data_time: 0.0169 memory: 10484 grad_norm: 0.2683 recall@thr=0.5: 0.6095 prec@thr=0.5: 0.7659 recall@top3: 0.6452 prec@top3: 0.6984 recall@top5: 0.9373 prec@top5: 0.6190 loss_action_cls: 0.1014 loss: 0.1014 2022/08/11 10:57:12 - mmengine - INFO - Epoch(train) [1][2960/3842] lr: 3.3497e-02 eta: 5:28:01 time: 0.5541 data_time: 0.0170 memory: 10484 grad_norm: 0.2497 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.8846 recall@top3: 0.8590 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4154 loss_action_cls: 0.1038 loss: 0.1038 2022/08/11 10:57:23 - mmengine - INFO - Epoch(train) [1][2980/3842] lr: 3.3672e-02 eta: 5:27:41 time: 0.5158 data_time: 0.0165 memory: 10484 grad_norm: 0.2451 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.7619 recall@top3: 0.6984 prec@top3: 0.7143 recall@top5: 0.8968 prec@top5: 0.5619 loss_action_cls: 0.0981 loss: 0.0981 2022/08/11 10:57:32 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 10:57:32 - mmengine - INFO - Epoch(train) [1][3000/3842] lr: 3.3848e-02 eta: 5:27:14 time: 0.4905 data_time: 0.0174 memory: 10484 grad_norm: 0.2538 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.6190 recall@top3: 0.8095 prec@top3: 0.5714 recall@top5: 0.9048 prec@top5: 0.3714 loss_action_cls: 0.0929 loss: 0.0929 2022/08/11 10:57:43 - mmengine - INFO - Epoch(train) [1][3020/3842] lr: 3.4024e-02 eta: 5:26:54 time: 0.5160 data_time: 0.0173 memory: 10484 grad_norm: 0.2389 recall@thr=0.5: 0.6596 prec@thr=0.5: 0.6987 recall@top3: 0.8051 prec@top3: 0.6795 recall@top5: 0.9154 prec@top5: 0.4769 loss_action_cls: 0.0981 loss: 0.0981 2022/08/11 10:57:53 - mmengine - INFO - Epoch(train) [1][3040/3842] lr: 3.4200e-02 eta: 5:26:29 time: 0.4950 data_time: 0.0164 memory: 10484 grad_norm: 0.2593 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.9111 recall@top3: 0.6500 prec@top3: 0.5778 recall@top5: 0.7833 prec@top5: 0.4400 loss_action_cls: 0.1070 loss: 0.1070 2022/08/11 10:58:03 - mmengine - INFO - Epoch(train) [1][3060/3842] lr: 3.4375e-02 eta: 5:26:09 time: 0.5125 data_time: 0.0163 memory: 10484 grad_norm: 0.2556 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7500 recall@top3: 0.8125 prec@top3: 0.5278 recall@top5: 0.8125 prec@top5: 0.3167 loss_action_cls: 0.1042 loss: 0.1042 2022/08/11 10:58:13 - mmengine - INFO - Epoch(train) [1][3080/3842] lr: 3.4551e-02 eta: 5:25:48 time: 0.5122 data_time: 0.0172 memory: 10484 grad_norm: 0.2485 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.5556 recall@top3: 0.8333 prec@top3: 0.5278 recall@top5: 0.8750 prec@top5: 0.3500 loss_action_cls: 0.0885 loss: 0.0885 2022/08/11 10:58:24 - mmengine - INFO - Epoch(train) [1][3100/3842] lr: 3.4727e-02 eta: 5:25:38 time: 0.5549 data_time: 0.0175 memory: 10484 grad_norm: 0.2504 recall@thr=0.5: 0.8354 prec@thr=0.5: 0.9167 recall@top3: 0.8771 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0940 loss: 0.0940 2022/08/11 10:58:34 - mmengine - INFO - Epoch(train) [1][3120/3842] lr: 3.4902e-02 eta: 5:25:17 time: 0.5116 data_time: 0.0196 memory: 10484 grad_norm: 0.2537 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7778 recall@top3: 0.8214 prec@top3: 0.6349 recall@top5: 0.9841 prec@top5: 0.4857 loss_action_cls: 0.1019 loss: 0.1019 2022/08/11 10:58:45 - mmengine - INFO - Epoch(train) [1][3140/3842] lr: 3.5078e-02 eta: 5:24:59 time: 0.5201 data_time: 0.0173 memory: 10484 grad_norm: 0.2395 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7949 recall@top3: 0.8814 prec@top3: 0.6923 recall@top5: 0.9295 prec@top5: 0.4462 loss_action_cls: 0.1013 loss: 0.1013 2022/08/11 10:58:55 - mmengine - INFO - Epoch(train) [1][3160/3842] lr: 3.5254e-02 eta: 5:24:34 time: 0.4907 data_time: 0.0195 memory: 10484 grad_norm: 0.2484 recall@thr=0.5: 0.5900 prec@thr=0.5: 0.6778 recall@top3: 0.5589 prec@top3: 0.5778 recall@top5: 0.8622 prec@top5: 0.5600 loss_action_cls: 0.0936 loss: 0.0936 2022/08/11 10:59:05 - mmengine - INFO - Epoch(train) [1][3180/3842] lr: 3.5430e-02 eta: 5:24:14 time: 0.5132 data_time: 0.0158 memory: 10484 grad_norm: 0.2589 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7593 recall@top3: 0.8426 prec@top3: 0.6852 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0978 loss: 0.0978 2022/08/11 10:59:15 - mmengine - INFO - Epoch(train) [1][3200/3842] lr: 3.5605e-02 eta: 5:23:48 time: 0.4855 data_time: 0.0155 memory: 10484 grad_norm: 0.2580 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6296 recall@top3: 0.7593 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.4889 loss_action_cls: 0.0907 loss: 0.0907 2022/08/11 10:59:25 - mmengine - INFO - Epoch(train) [1][3220/3842] lr: 3.5781e-02 eta: 5:23:30 time: 0.5194 data_time: 0.0164 memory: 10484 grad_norm: 0.2406 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5637 recall@top3: 0.7157 prec@top3: 0.6078 recall@top5: 0.8529 prec@top5: 0.4588 loss_action_cls: 0.1155 loss: 0.1155 2022/08/11 10:59:35 - mmengine - INFO - Epoch(train) [1][3240/3842] lr: 3.5957e-02 eta: 5:23:06 time: 0.4913 data_time: 0.0162 memory: 10484 grad_norm: 0.2547 recall@thr=0.5: 0.3646 prec@thr=0.5: 0.4479 recall@top3: 0.7917 prec@top3: 0.4792 recall@top5: 0.8438 prec@top5: 0.3125 loss_action_cls: 0.1022 loss: 0.1022 2022/08/11 10:59:47 - mmengine - INFO - Epoch(train) [1][3260/3842] lr: 3.6132e-02 eta: 5:23:13 time: 0.6342 data_time: 0.0175 memory: 10484 grad_norm: 0.2344 recall@thr=0.5: 0.5233 prec@thr=0.5: 0.6583 recall@top3: 0.6883 prec@top3: 0.5500 recall@top5: 0.8083 prec@top5: 0.4100 loss_action_cls: 0.1069 loss: 0.1069 2022/08/11 10:59:59 - mmengine - INFO - Epoch(train) [1][3280/3842] lr: 3.6308e-02 eta: 5:23:11 time: 0.5945 data_time: 0.0173 memory: 10484 grad_norm: 0.2578 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.7719 recall@top3: 0.7456 prec@top3: 0.7018 recall@top5: 0.9211 prec@top5: 0.5263 loss_action_cls: 0.1132 loss: 0.1132 2022/08/11 11:00:10 - mmengine - INFO - Epoch(train) [1][3300/3842] lr: 3.6484e-02 eta: 5:22:52 time: 0.5150 data_time: 0.0183 memory: 10484 grad_norm: 0.2482 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.6958 recall@top3: 0.7010 prec@top3: 0.6875 recall@top5: 0.8604 prec@top5: 0.5500 loss_action_cls: 0.1001 loss: 0.1001 2022/08/11 11:00:20 - mmengine - INFO - Epoch(train) [1][3320/3842] lr: 3.6660e-02 eta: 5:22:36 time: 0.5262 data_time: 0.0170 memory: 10484 grad_norm: 0.2443 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7500 recall@top3: 0.8619 prec@top3: 0.5476 recall@top5: 0.9571 prec@top5: 0.3857 loss_action_cls: 0.1040 loss: 0.1040 2022/08/11 11:00:30 - mmengine - INFO - Epoch(train) [1][3340/3842] lr: 3.6835e-02 eta: 5:22:16 time: 0.5093 data_time: 0.0169 memory: 10484 grad_norm: 0.2313 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.5490 recall@top3: 0.7941 prec@top3: 0.5490 recall@top5: 0.8725 prec@top5: 0.3765 loss_action_cls: 0.0978 loss: 0.0978 2022/08/11 11:00:41 - mmengine - INFO - Epoch(train) [1][3360/3842] lr: 3.7011e-02 eta: 5:21:56 time: 0.5098 data_time: 0.0167 memory: 10484 grad_norm: 0.2499 recall@thr=0.5: 0.4139 prec@thr=0.5: 0.5139 recall@top3: 0.5410 prec@top3: 0.5417 recall@top5: 0.8236 prec@top5: 0.5167 loss_action_cls: 0.0980 loss: 0.0980 2022/08/11 11:00:53 - mmengine - INFO - Epoch(train) [1][3380/3842] lr: 3.7187e-02 eta: 5:22:00 time: 0.6201 data_time: 0.0189 memory: 10484 grad_norm: 0.2590 recall@thr=0.5: 0.6615 prec@thr=0.5: 0.7865 recall@top3: 0.7812 prec@top3: 0.6667 recall@top5: 0.9219 prec@top5: 0.4875 loss_action_cls: 0.1031 loss: 0.1031 2022/08/11 11:01:03 - mmengine - INFO - Epoch(train) [1][3400/3842] lr: 3.7362e-02 eta: 5:21:43 time: 0.5257 data_time: 0.0166 memory: 10484 grad_norm: 0.2374 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.7451 recall@top3: 0.6716 prec@top3: 0.6667 recall@top5: 0.7941 prec@top5: 0.4824 loss_action_cls: 0.1117 loss: 0.1117 2022/08/11 11:01:14 - mmengine - INFO - Epoch(train) [1][3420/3842] lr: 3.7538e-02 eta: 5:21:26 time: 0.5217 data_time: 0.0169 memory: 10484 grad_norm: 0.2422 recall@thr=0.5: 0.2927 prec@thr=0.5: 0.4271 recall@top3: 0.5760 prec@top3: 0.5417 recall@top5: 0.8094 prec@top5: 0.4500 loss_action_cls: 0.0923 loss: 0.0923 2022/08/11 11:01:26 - mmengine - INFO - Epoch(train) [1][3440/3842] lr: 3.7714e-02 eta: 5:21:30 time: 0.6241 data_time: 0.0241 memory: 10484 grad_norm: 0.2313 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8056 recall@top3: 0.8194 prec@top3: 0.6944 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0863 loss: 0.0863 2022/08/11 11:01:37 - mmengine - INFO - Epoch(train) [1][3460/3842] lr: 3.7889e-02 eta: 5:21:15 time: 0.5292 data_time: 0.0159 memory: 10484 grad_norm: 0.2377 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.6970 recall@top3: 0.8712 prec@top3: 0.6212 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.1069 loss: 0.1069 2022/08/11 11:01:49 - mmengine - INFO - Epoch(train) [1][3480/3842] lr: 3.8065e-02 eta: 5:21:16 time: 0.6140 data_time: 0.0168 memory: 10484 grad_norm: 0.2429 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8462 recall@top3: 0.9615 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0970 loss: 0.0970 2022/08/11 11:02:00 - mmengine - INFO - Epoch(train) [1][3500/3842] lr: 3.8241e-02 eta: 5:20:59 time: 0.5185 data_time: 0.0188 memory: 10484 grad_norm: 0.2317 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.5833 recall@top3: 0.6250 prec@top3: 0.5556 recall@top5: 0.8056 prec@top5: 0.4167 loss_action_cls: 0.0933 loss: 0.0933 2022/08/11 11:02:10 - mmengine - INFO - Epoch(train) [1][3520/3842] lr: 3.8417e-02 eta: 5:20:43 time: 0.5293 data_time: 0.0214 memory: 10484 grad_norm: 0.2455 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.8750 recall@top3: 0.8571 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0985 loss: 0.0985 2022/08/11 11:02:20 - mmengine - INFO - Epoch(train) [1][3540/3842] lr: 3.8592e-02 eta: 5:20:19 time: 0.4869 data_time: 0.0162 memory: 10484 grad_norm: 0.2343 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.7917 recall@top3: 0.7031 prec@top3: 0.7083 recall@top5: 0.8802 prec@top5: 0.5375 loss_action_cls: 0.1021 loss: 0.1021 2022/08/11 11:02:31 - mmengine - INFO - Epoch(train) [1][3560/3842] lr: 3.8768e-02 eta: 5:20:04 time: 0.5300 data_time: 0.0139 memory: 10484 grad_norm: 0.2305 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8667 recall@top3: 0.7492 prec@top3: 0.7333 recall@top5: 0.9600 prec@top5: 0.5700 loss_action_cls: 0.1005 loss: 0.1005 2022/08/11 11:02:40 - mmengine - INFO - Epoch(train) [1][3580/3842] lr: 3.8944e-02 eta: 5:19:41 time: 0.4902 data_time: 0.0164 memory: 10484 grad_norm: 0.2482 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7879 recall@top3: 0.8485 prec@top3: 0.6364 recall@top5: 0.8485 prec@top5: 0.3818 loss_action_cls: 0.1094 loss: 0.1094 2022/08/11 11:02:51 - mmengine - INFO - Epoch(train) [1][3600/3842] lr: 3.9119e-02 eta: 5:19:27 time: 0.5346 data_time: 0.0167 memory: 10484 grad_norm: 0.2431 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.7867 recall@top3: 0.5667 prec@top3: 0.6000 recall@top5: 0.8722 prec@top5: 0.5467 loss_action_cls: 0.1089 loss: 0.1089 2022/08/11 11:03:01 - mmengine - INFO - Epoch(train) [1][3620/3842] lr: 3.9295e-02 eta: 5:19:06 time: 0.4948 data_time: 0.0169 memory: 10484 grad_norm: 0.2323 recall@thr=0.5: 0.6992 prec@thr=0.5: 0.7460 recall@top3: 0.7675 prec@top3: 0.5556 recall@top5: 0.8992 prec@top5: 0.4190 loss_action_cls: 0.0902 loss: 0.0902 2022/08/11 11:03:12 - mmengine - INFO - Epoch(train) [1][3640/3842] lr: 3.9471e-02 eta: 5:18:52 time: 0.5355 data_time: 0.0137 memory: 10484 grad_norm: 0.2530 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7143 recall@top3: 0.7500 prec@top3: 0.6905 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0948 loss: 0.0948 2022/08/11 11:03:22 - mmengine - INFO - Epoch(train) [1][3660/3842] lr: 3.9647e-02 eta: 5:18:37 time: 0.5309 data_time: 0.0183 memory: 10484 grad_norm: 0.2299 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.5667 recall@top3: 0.6000 prec@top3: 0.5000 recall@top5: 0.7167 prec@top5: 0.3800 loss_action_cls: 0.1040 loss: 0.1040 2022/08/11 11:03:32 - mmengine - INFO - Epoch(train) [1][3680/3842] lr: 3.9822e-02 eta: 5:18:15 time: 0.4904 data_time: 0.0170 memory: 10484 grad_norm: 0.2452 recall@thr=0.5: 0.4931 prec@thr=0.5: 0.7500 recall@top3: 0.6111 prec@top3: 0.4722 recall@top5: 0.8333 prec@top5: 0.4333 loss_action_cls: 0.1044 loss: 0.1044 2022/08/11 11:03:42 - mmengine - INFO - Epoch(train) [1][3700/3842] lr: 3.9998e-02 eta: 5:17:57 time: 0.5103 data_time: 0.0169 memory: 10484 grad_norm: 0.2364 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6814 recall@top3: 0.8824 prec@top3: 0.6667 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0893 loss: 0.0893 2022/08/11 11:03:53 - mmengine - INFO - Epoch(train) [1][3720/3842] lr: 4.0174e-02 eta: 5:17:42 time: 0.5293 data_time: 0.0190 memory: 10484 grad_norm: 0.2377 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5694 recall@top3: 0.6944 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.4333 loss_action_cls: 0.0853 loss: 0.0853 2022/08/11 11:04:03 - mmengine - INFO - Epoch(train) [1][3740/3842] lr: 4.0349e-02 eta: 5:17:25 time: 0.5176 data_time: 0.0204 memory: 10484 grad_norm: 0.2560 recall@thr=0.5: 0.5933 prec@thr=0.5: 0.7958 recall@top3: 0.7433 prec@top3: 0.6833 recall@top5: 0.9300 prec@top5: 0.5300 loss_action_cls: 0.0931 loss: 0.0931 2022/08/11 11:04:14 - mmengine - INFO - Epoch(train) [1][3760/3842] lr: 4.0525e-02 eta: 5:17:10 time: 0.5251 data_time: 0.0164 memory: 10484 grad_norm: 0.2315 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.7667 recall@top3: 0.8500 prec@top3: 0.6889 recall@top5: 0.9833 prec@top5: 0.5067 loss_action_cls: 0.1025 loss: 0.1025 2022/08/11 11:04:24 - mmengine - INFO - Epoch(train) [1][3780/3842] lr: 4.0701e-02 eta: 5:16:52 time: 0.5139 data_time: 0.0184 memory: 10484 grad_norm: 0.2495 recall@thr=0.5: 0.5365 prec@thr=0.5: 0.6042 recall@top3: 0.6771 prec@top3: 0.6042 recall@top5: 0.7708 prec@top5: 0.4250 loss_action_cls: 0.0920 loss: 0.0920 2022/08/11 11:04:34 - mmengine - INFO - Epoch(train) [1][3800/3842] lr: 4.0877e-02 eta: 5:16:32 time: 0.4981 data_time: 0.0165 memory: 10484 grad_norm: 0.2513 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7639 recall@top3: 0.7963 prec@top3: 0.7407 recall@top5: 0.8657 prec@top5: 0.4889 loss_action_cls: 0.0954 loss: 0.0954 2022/08/11 11:04:44 - mmengine - INFO - Epoch(train) [1][3820/3842] lr: 4.1052e-02 eta: 5:16:15 time: 0.5187 data_time: 0.0154 memory: 10484 grad_norm: 0.2409 recall@thr=0.5: 0.5767 prec@thr=0.5: 0.8333 recall@top3: 0.7467 prec@top3: 0.7867 recall@top5: 0.8540 prec@top5: 0.5520 loss_action_cls: 0.0890 loss: 0.0890 2022/08/11 11:04:54 - mmengine - INFO - Epoch(train) [1][3840/3842] lr: 4.1228e-02 eta: 5:15:56 time: 0.4992 data_time: 0.0173 memory: 10484 grad_norm: 0.2333 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7500 recall@top3: 0.7333 prec@top3: 0.5333 recall@top5: 0.8750 prec@top5: 0.3900 loss_action_cls: 0.0998 loss: 0.0998 2022/08/11 11:05:13 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 11:05:13 - mmengine - INFO - Epoch(train) [1][3842/3842] lr: 4.1246e-02 eta: 5:15:56 time: 1.3769 data_time: 0.0197 memory: 40538 grad_norm: 0.2397 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.5000 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0982 loss: 0.0982 2022/08/11 11:05:13 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/11 11:06:24 - mmengine - INFO - Epoch(val) [1][20/6282] eta: 5:31:21 time: 3.1749 data_time: 2.5586 memory: 37606 2022/08/11 11:06:25 - mmengine - INFO - Epoch(val) [1][40/6282] eta: 0:05:35 time: 0.0538 data_time: 0.0045 memory: 703 2022/08/11 11:06:26 - mmengine - INFO - Epoch(val) [1][60/6282] eta: 0:05:41 time: 0.0549 data_time: 0.0050 memory: 703 2022/08/11 11:06:27 - mmengine - INFO - Epoch(val) [1][80/6282] eta: 0:05:45 time: 0.0557 data_time: 0.0046 memory: 703 2022/08/11 11:06:28 - mmengine - INFO - Epoch(val) [1][100/6282] eta: 0:05:54 time: 0.0573 data_time: 0.0051 memory: 703 2022/08/11 11:06:40 - mmengine - INFO - Epoch(val) [1][120/6282] eta: 1:02:43 time: 0.6108 data_time: 0.0033 memory: 37639 2022/08/11 11:06:42 - mmengine - INFO - Epoch(val) [1][140/6282] eta: 0:06:34 time: 0.0643 data_time: 0.0036 memory: 808 2022/08/11 11:06:43 - mmengine - INFO - Epoch(val) [1][160/6282] eta: 0:06:29 time: 0.0636 data_time: 0.0046 memory: 808 2022/08/11 11:06:44 - mmengine - INFO - Epoch(val) [1][180/6282] eta: 0:05:48 time: 0.0571 data_time: 0.0038 memory: 808 2022/08/11 11:06:55 - mmengine - INFO - Epoch(val) [1][200/6282] eta: 0:53:10 time: 0.5246 data_time: 0.0031 memory: 37612 2022/08/11 11:06:56 - mmengine - INFO - Epoch(val) [1][220/6282] eta: 0:05:56 time: 0.0589 data_time: 0.0061 memory: 738 2022/08/11 11:06:57 - mmengine - INFO - Epoch(val) [1][240/6282] eta: 0:05:48 time: 0.0577 data_time: 0.0069 memory: 738 2022/08/11 11:06:58 - mmengine - INFO - Epoch(val) [1][260/6282] eta: 0:05:31 time: 0.0550 data_time: 0.0056 memory: 738 2022/08/11 11:07:01 - mmengine - INFO - Epoch(val) [1][280/6282] eta: 0:12:43 time: 0.1271 data_time: 0.0837 memory: 738 2022/08/11 11:07:06 - mmengine - INFO - Epoch(val) [1][300/6282] eta: 0:28:32 time: 0.2863 data_time: 0.2412 memory: 808 2022/08/11 11:07:08 - mmengine - INFO - Epoch(val) [1][320/6282] eta: 0:06:40 time: 0.0672 data_time: 0.0148 memory: 808 2022/08/11 11:07:10 - mmengine - INFO - Epoch(val) [1][340/6282] eta: 0:08:53 time: 0.0898 data_time: 0.0283 memory: 808 2022/08/11 11:07:11 - mmengine - INFO - Epoch(val) [1][360/6282] eta: 0:08:02 time: 0.0814 data_time: 0.0193 memory: 808 2022/08/11 11:07:14 - mmengine - INFO - Epoch(val) [1][380/6282] eta: 0:13:23 time: 0.1362 data_time: 0.0815 memory: 808 2022/08/11 11:07:15 - mmengine - INFO - Epoch(val) [1][400/6282] eta: 0:05:31 time: 0.0563 data_time: 0.0024 memory: 6417 2022/08/11 11:07:17 - mmengine - INFO - Epoch(val) [1][420/6282] eta: 0:07:42 time: 0.0789 data_time: 0.0383 memory: 743 2022/08/11 11:07:17 - mmengine - INFO - Epoch(val) [1][440/6282] eta: 0:04:17 time: 0.0440 data_time: 0.0025 memory: 743 2022/08/11 11:07:18 - mmengine - INFO - Epoch(val) [1][460/6282] eta: 0:04:15 time: 0.0440 data_time: 0.0028 memory: 743 2022/08/11 11:07:19 - mmengine - INFO - Epoch(val) [1][480/6282] eta: 0:04:31 time: 0.0468 data_time: 0.0041 memory: 743 2022/08/11 11:07:20 - mmengine - INFO - Epoch(val) [1][500/6282] eta: 0:04:10 time: 0.0434 data_time: 0.0028 memory: 743 2022/08/11 11:07:21 - mmengine - INFO - Epoch(val) [1][520/6282] eta: 0:04:02 time: 0.0420 data_time: 0.0027 memory: 738 2022/08/11 11:07:26 - mmengine - INFO - Epoch(val) [1][540/6282] eta: 0:25:34 time: 0.2673 data_time: 0.2246 memory: 738 2022/08/11 11:07:27 - mmengine - INFO - Epoch(val) [1][560/6282] eta: 0:04:03 time: 0.0426 data_time: 0.0021 memory: 738 2022/08/11 11:07:28 - mmengine - INFO - Epoch(val) [1][580/6282] eta: 0:04:01 time: 0.0424 data_time: 0.0028 memory: 738 2022/08/11 11:07:29 - mmengine - INFO - Epoch(val) [1][600/6282] eta: 0:04:02 time: 0.0426 data_time: 0.0027 memory: 738 2022/08/11 11:07:39 - mmengine - INFO - Epoch(val) [1][620/6282] eta: 0:46:27 time: 0.4923 data_time: 0.0033 memory: 37609 2022/08/11 11:07:40 - mmengine - INFO - Epoch(val) [1][640/6282] eta: 0:05:01 time: 0.0534 data_time: 0.0041 memory: 733 2022/08/11 11:07:41 - mmengine - INFO - Epoch(val) [1][660/6282] eta: 0:04:38 time: 0.0496 data_time: 0.0038 memory: 733 2022/08/11 11:07:42 - mmengine - INFO - Epoch(val) [1][680/6282] eta: 0:04:26 time: 0.0476 data_time: 0.0035 memory: 733 2022/08/11 11:07:43 - mmengine - INFO - Epoch(val) [1][700/6282] eta: 0:04:41 time: 0.0504 data_time: 0.0031 memory: 733 2022/08/11 11:07:46 - mmengine - INFO - Epoch(val) [1][720/6282] eta: 0:13:17 time: 0.1434 data_time: 0.0857 memory: 808 2022/08/11 11:07:50 - mmengine - INFO - Epoch(val) [1][740/6282] eta: 0:18:12 time: 0.1972 data_time: 0.1390 memory: 808 2022/08/11 11:07:53 - mmengine - INFO - Epoch(val) [1][760/6282] eta: 0:13:30 time: 0.1468 data_time: 0.0602 memory: 808 2022/08/11 11:07:56 - mmengine - INFO - Epoch(val) [1][780/6282] eta: 0:16:55 time: 0.1845 data_time: 0.1223 memory: 808 2022/08/11 11:07:59 - mmengine - INFO - Epoch(val) [1][800/6282] eta: 0:12:50 time: 0.1405 data_time: 0.0803 memory: 808 2022/08/11 11:08:01 - mmengine - INFO - Epoch(val) [1][820/6282] eta: 0:08:38 time: 0.0948 data_time: 0.0408 memory: 808 2022/08/11 11:08:02 - mmengine - INFO - Epoch(val) [1][840/6282] eta: 0:05:12 time: 0.0575 data_time: 0.0039 memory: 738 2022/08/11 11:08:03 - mmengine - INFO - Epoch(val) [1][860/6282] eta: 0:05:06 time: 0.0565 data_time: 0.0055 memory: 738 2022/08/11 11:08:04 - mmengine - INFO - Epoch(val) [1][880/6282] eta: 0:05:15 time: 0.0585 data_time: 0.0060 memory: 738 2022/08/11 11:08:05 - mmengine - INFO - Epoch(val) [1][900/6282] eta: 0:04:58 time: 0.0554 data_time: 0.0057 memory: 738 2022/08/11 11:08:07 - mmengine - INFO - Epoch(val) [1][920/6282] eta: 0:05:00 time: 0.0561 data_time: 0.0052 memory: 738 2022/08/11 11:08:08 - mmengine - INFO - Epoch(val) [1][940/6282] eta: 0:04:53 time: 0.0550 data_time: 0.0053 memory: 703 2022/08/11 11:08:09 - mmengine - INFO - Epoch(val) [1][960/6282] eta: 0:04:45 time: 0.0536 data_time: 0.0048 memory: 703 2022/08/11 11:08:10 - mmengine - INFO - Epoch(val) [1][980/6282] eta: 0:04:49 time: 0.0546 data_time: 0.0067 memory: 703 2022/08/11 11:08:11 - mmengine - INFO - Epoch(val) [1][1000/6282] eta: 0:04:40 time: 0.0531 data_time: 0.0047 memory: 703 2022/08/11 11:08:13 - mmengine - INFO - Epoch(val) [1][1020/6282] eta: 0:06:55 time: 0.0790 data_time: 0.0041 memory: 738 2022/08/11 11:08:14 - mmengine - INFO - Epoch(val) [1][1040/6282] eta: 0:04:57 time: 0.0568 data_time: 0.0058 memory: 738 2022/08/11 11:08:15 - mmengine - INFO - Epoch(val) [1][1060/6282] eta: 0:04:51 time: 0.0558 data_time: 0.0058 memory: 738 2022/08/11 11:08:16 - mmengine - INFO - Epoch(val) [1][1080/6282] eta: 0:04:52 time: 0.0563 data_time: 0.0054 memory: 738 2022/08/11 11:08:17 - mmengine - INFO - Epoch(val) [1][1100/6282] eta: 0:04:46 time: 0.0553 data_time: 0.0041 memory: 738 2022/08/11 11:08:18 - mmengine - INFO - Epoch(val) [1][1120/6282] eta: 0:04:32 time: 0.0528 data_time: 0.0044 memory: 738 2022/08/11 11:08:19 - mmengine - INFO - Epoch(val) [1][1140/6282] eta: 0:04:36 time: 0.0537 data_time: 0.0052 memory: 738 2022/08/11 11:08:20 - mmengine - INFO - Epoch(val) [1][1160/6282] eta: 0:04:36 time: 0.0539 data_time: 0.0045 memory: 738 2022/08/11 11:08:21 - mmengine - INFO - Epoch(val) [1][1180/6282] eta: 0:04:28 time: 0.0526 data_time: 0.0042 memory: 738 2022/08/11 11:08:22 - mmengine - INFO - Epoch(val) [1][1200/6282] eta: 0:04:31 time: 0.0533 data_time: 0.0051 memory: 738 2022/08/11 11:08:23 - mmengine - INFO - Epoch(val) [1][1220/6282] eta: 0:04:49 time: 0.0572 data_time: 0.0063 memory: 738 2022/08/11 11:08:27 - mmengine - INFO - Epoch(val) [1][1240/6282] eta: 0:13:52 time: 0.1651 data_time: 0.1056 memory: 808 2022/08/11 11:08:30 - mmengine - INFO - Epoch(val) [1][1260/6282] eta: 0:12:10 time: 0.1454 data_time: 0.0718 memory: 808 2022/08/11 11:08:33 - mmengine - INFO - Epoch(val) [1][1280/6282] eta: 0:15:28 time: 0.1857 data_time: 0.1251 memory: 808 2022/08/11 11:08:36 - mmengine - INFO - Epoch(val) [1][1300/6282] eta: 0:11:51 time: 0.1428 data_time: 0.0841 memory: 808 2022/08/11 11:08:40 - mmengine - INFO - Epoch(val) [1][1320/6282] eta: 0:15:01 time: 0.1816 data_time: 0.1241 memory: 808 2022/08/11 11:08:43 - mmengine - INFO - Epoch(val) [1][1340/6282] eta: 0:12:36 time: 0.1532 data_time: 0.0608 memory: 808 2022/08/11 11:08:46 - mmengine - INFO - Epoch(val) [1][1360/6282] eta: 0:13:49 time: 0.1685 data_time: 0.1120 memory: 808 2022/08/11 11:08:49 - mmengine - INFO - Epoch(val) [1][1380/6282] eta: 0:11:37 time: 0.1424 data_time: 0.0856 memory: 808 2022/08/11 11:08:53 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:13:59 time: 0.1719 data_time: 0.1124 memory: 808 2022/08/11 11:08:56 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:12:11 time: 0.1504 data_time: 0.0904 memory: 808 2022/08/11 11:08:57 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:05:15 time: 0.0651 data_time: 0.0100 memory: 808 2022/08/11 11:08:58 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:04:40 time: 0.0582 data_time: 0.0037 memory: 808 2022/08/11 11:08:59 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:04:38 time: 0.0581 data_time: 0.0031 memory: 808 2022/08/11 11:09:00 - mmengine - INFO - Epoch(val) [1][1500/6282] eta: 0:04:22 time: 0.0549 data_time: 0.0035 memory: 808 2022/08/11 11:09:10 - mmengine - INFO - Epoch(val) [1][1520/6282] eta: 0:38:36 time: 0.4865 data_time: 0.0036 memory: 37677 2022/08/11 11:09:12 - mmengine - INFO - Epoch(val) [1][1540/6282] eta: 0:06:10 time: 0.0782 data_time: 0.0055 memory: 911 2022/08/11 11:09:13 - mmengine - INFO - Epoch(val) [1][1560/6282] eta: 0:06:41 time: 0.0851 data_time: 0.0110 memory: 911 2022/08/11 11:09:15 - mmengine - INFO - Epoch(val) [1][1580/6282] eta: 0:06:03 time: 0.0774 data_time: 0.0056 memory: 911 2022/08/11 11:09:16 - mmengine - INFO - Epoch(val) [1][1600/6282] eta: 0:05:59 time: 0.0767 data_time: 0.0050 memory: 911 2022/08/11 11:09:18 - mmengine - INFO - Epoch(val) [1][1620/6282] eta: 0:06:06 time: 0.0786 data_time: 0.0058 memory: 911 2022/08/11 11:09:19 - mmengine - INFO - Epoch(val) [1][1640/6282] eta: 0:04:55 time: 0.0637 data_time: 0.0046 memory: 808 2022/08/11 11:09:21 - mmengine - INFO - Epoch(val) [1][1660/6282] eta: 0:04:49 time: 0.0627 data_time: 0.0059 memory: 808 2022/08/11 11:09:22 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:06:58 time: 0.0909 data_time: 0.0058 memory: 808 2022/08/11 11:09:24 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:05:01 time: 0.0658 data_time: 0.0053 memory: 808 2022/08/11 11:09:25 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:04:49 time: 0.0634 data_time: 0.0050 memory: 808 2022/08/11 11:09:26 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:04:52 time: 0.0644 data_time: 0.0040 memory: 808 2022/08/11 11:09:28 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:04:52 time: 0.0647 data_time: 0.0057 memory: 808 2022/08/11 11:09:29 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:04:50 time: 0.0646 data_time: 0.0049 memory: 808 2022/08/11 11:09:30 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:04:43 time: 0.0632 data_time: 0.0050 memory: 808 2022/08/11 11:09:31 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:04:43 time: 0.0636 data_time: 0.0045 memory: 808 2022/08/11 11:09:33 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:06:27 time: 0.0873 data_time: 0.0263 memory: 808 2022/08/11 11:09:37 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:12:52 time: 0.1747 data_time: 0.1146 memory: 808 2022/08/11 11:09:40 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:10:54 time: 0.1487 data_time: 0.0859 memory: 808 2022/08/11 11:09:43 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:11:15 time: 0.1541 data_time: 0.0663 memory: 808 2022/08/11 11:09:45 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:09:34 time: 0.1318 data_time: 0.0699 memory: 808 2022/08/11 11:09:48 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:09:12 time: 0.1271 data_time: 0.0680 memory: 808 2022/08/11 11:09:49 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:04:04 time: 0.0567 data_time: 0.0051 memory: 743 2022/08/11 11:09:50 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:04:00 time: 0.0558 data_time: 0.0060 memory: 743 2022/08/11 11:09:51 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:04:02 time: 0.0566 data_time: 0.0065 memory: 743 2022/08/11 11:09:52 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:04:02 time: 0.0570 data_time: 0.0062 memory: 743 2022/08/11 11:09:54 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:04:02 time: 0.0571 data_time: 0.0060 memory: 743 2022/08/11 11:09:55 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:03:58 time: 0.0565 data_time: 0.0047 memory: 743 2022/08/11 11:09:56 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:04:14 time: 0.0605 data_time: 0.0050 memory: 743 2022/08/11 11:09:57 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:04:02 time: 0.0580 data_time: 0.0061 memory: 743 2022/08/11 11:09:58 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:04:04 time: 0.0587 data_time: 0.0062 memory: 743 2022/08/11 11:09:59 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:03:57 time: 0.0574 data_time: 0.0048 memory: 743 2022/08/11 11:10:01 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:03:55 time: 0.0571 data_time: 0.0056 memory: 738 2022/08/11 11:10:03 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:07:29 time: 0.1096 data_time: 0.0059 memory: 738 2022/08/11 11:10:04 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:04:01 time: 0.0591 data_time: 0.0057 memory: 738 2022/08/11 11:10:05 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:03:45 time: 0.0555 data_time: 0.0048 memory: 738 2022/08/11 11:10:06 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:03:51 time: 0.0573 data_time: 0.0053 memory: 738 2022/08/11 11:10:07 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:03:58 time: 0.0594 data_time: 0.0055 memory: 743 2022/08/11 11:10:09 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:03:55 time: 0.0589 data_time: 0.0051 memory: 743 2022/08/11 11:10:10 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:03:45 time: 0.0567 data_time: 0.0046 memory: 743 2022/08/11 11:10:11 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:03:49 time: 0.0580 data_time: 0.0049 memory: 743 2022/08/11 11:10:12 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:03:36 time: 0.0549 data_time: 0.0040 memory: 743 2022/08/11 11:10:13 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:03:36 time: 0.0553 data_time: 0.0057 memory: 738 2022/08/11 11:10:14 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:03:32 time: 0.0544 data_time: 0.0054 memory: 738 2022/08/11 11:10:15 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:03:42 time: 0.0573 data_time: 0.0046 memory: 738 2022/08/11 11:10:16 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:03:16 time: 0.0508 data_time: 0.0043 memory: 738 2022/08/11 11:10:17 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:03:19 time: 0.0520 data_time: 0.0045 memory: 738 2022/08/11 11:10:19 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:05:06 time: 0.0803 data_time: 0.0187 memory: 808 2022/08/11 11:10:21 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:05:12 time: 0.0822 data_time: 0.0202 memory: 808 2022/08/11 11:10:23 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:06:56 time: 0.1102 data_time: 0.0237 memory: 808 2022/08/11 11:10:24 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:04:25 time: 0.0705 data_time: 0.0087 memory: 808 2022/08/11 11:10:27 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:07:54 time: 0.1268 data_time: 0.0672 memory: 808 2022/08/11 11:10:29 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:08:03 time: 0.1299 data_time: 0.0756 memory: 808 2022/08/11 11:10:33 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:11:10 time: 0.1812 data_time: 0.1218 memory: 808 2022/08/11 11:10:36 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:09:19 time: 0.1520 data_time: 0.0938 memory: 808 2022/08/11 11:10:39 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:08:12 time: 0.1345 data_time: 0.0778 memory: 808 2022/08/11 11:10:42 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:10:21 time: 0.1708 data_time: 0.1119 memory: 808 2022/08/11 11:10:51 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:25:47 time: 0.4273 data_time: 0.0032 memory: 37674 2022/08/11 11:10:53 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:06:29 time: 0.1082 data_time: 0.0188 memory: 901 2022/08/11 11:10:54 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:03:59 time: 0.0669 data_time: 0.0037 memory: 901 2022/08/11 11:10:55 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:03:59 time: 0.0673 data_time: 0.0035 memory: 901 2022/08/11 11:10:57 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:03:44 time: 0.0633 data_time: 0.0034 memory: 901 2022/08/11 11:11:02 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:15:48 time: 0.2692 data_time: 0.2156 memory: 743 2022/08/11 11:11:03 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:03:00 time: 0.0516 data_time: 0.0042 memory: 743 2022/08/11 11:11:04 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:02:50 time: 0.0488 data_time: 0.0036 memory: 743 2022/08/11 11:11:05 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:02:50 time: 0.0492 data_time: 0.0034 memory: 743 2022/08/11 11:11:06 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:03:05 time: 0.0538 data_time: 0.0050 memory: 743 2022/08/11 11:11:07 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:03:22 time: 0.0591 data_time: 0.0036 memory: 808 2022/08/11 11:11:09 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:03:29 time: 0.0616 data_time: 0.0052 memory: 808 2022/08/11 11:11:10 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:03:30 time: 0.0622 data_time: 0.0055 memory: 808 2022/08/11 11:11:18 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:22:59 time: 0.4103 data_time: 0.0036 memory: 37624 2022/08/11 11:11:19 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:03:16 time: 0.0587 data_time: 0.0057 memory: 771 2022/08/11 11:11:20 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:03:15 time: 0.0587 data_time: 0.0052 memory: 771 2022/08/11 11:11:22 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:03:01 time: 0.0550 data_time: 0.0046 memory: 771 2022/08/11 11:11:23 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:03:07 time: 0.0570 data_time: 0.0065 memory: 771 2022/08/11 11:11:24 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:03:44 time: 0.0687 data_time: 0.0049 memory: 808 2022/08/11 11:11:25 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:03:38 time: 0.0673 data_time: 0.0064 memory: 808 2022/08/11 11:11:27 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:03:34 time: 0.0665 data_time: 0.0057 memory: 808 2022/08/11 11:11:28 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:03:40 time: 0.0687 data_time: 0.0073 memory: 808 2022/08/11 11:11:29 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:03:10 time: 0.0597 data_time: 0.0055 memory: 808 2022/08/11 11:11:30 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:02:49 time: 0.0535 data_time: 0.0047 memory: 743 2022/08/11 11:11:32 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:02:58 time: 0.0568 data_time: 0.0044 memory: 743 2022/08/11 11:11:33 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:03:01 time: 0.0583 data_time: 0.0074 memory: 743 2022/08/11 11:11:34 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:03:00 time: 0.0583 data_time: 0.0071 memory: 743 2022/08/11 11:11:35 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:03:19 time: 0.0647 data_time: 0.0066 memory: 808 2022/08/11 11:11:37 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:03:29 time: 0.0683 data_time: 0.0054 memory: 808 2022/08/11 11:11:38 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:03:54 time: 0.0771 data_time: 0.0129 memory: 808 2022/08/11 11:11:40 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:03:42 time: 0.0737 data_time: 0.0105 memory: 808 2022/08/11 11:11:41 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:03:26 time: 0.0688 data_time: 0.0106 memory: 808 2022/08/11 11:11:43 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:04:21 time: 0.0878 data_time: 0.0047 memory: 808 2022/08/11 11:11:44 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:03:07 time: 0.0632 data_time: 0.0051 memory: 808 2022/08/11 11:11:45 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:03:16 time: 0.0667 data_time: 0.0058 memory: 808 2022/08/11 11:11:47 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:03:15 time: 0.0671 data_time: 0.0062 memory: 808 2022/08/11 11:11:48 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:02:47 time: 0.0577 data_time: 0.0047 memory: 808 2022/08/11 11:11:49 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:02:28 time: 0.0515 data_time: 0.0039 memory: 738 2022/08/11 11:11:50 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:02:27 time: 0.0514 data_time: 0.0040 memory: 738 2022/08/11 11:11:51 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:02:37 time: 0.0555 data_time: 0.0069 memory: 738 2022/08/11 11:11:52 - mmengine - INFO - Epoch(val) [1][3460/6282] eta: 0:02:27 time: 0.0522 data_time: 0.0046 memory: 738 2022/08/11 11:11:53 - mmengine - INFO - Epoch(val) [1][3480/6282] eta: 0:02:18 time: 0.0493 data_time: 0.0035 memory: 738 2022/08/11 11:11:54 - mmengine - INFO - Epoch(val) [1][3500/6282] eta: 0:02:11 time: 0.0473 data_time: 0.0037 memory: 738 2022/08/11 11:11:55 - mmengine - INFO - Epoch(val) [1][3520/6282] eta: 0:02:16 time: 0.0493 data_time: 0.0043 memory: 738 2022/08/11 11:11:56 - mmengine - INFO - Epoch(val) [1][3540/6282] eta: 0:02:24 time: 0.0527 data_time: 0.0040 memory: 738 2022/08/11 11:11:57 - mmengine - INFO - Epoch(val) [1][3560/6282] eta: 0:02:16 time: 0.0501 data_time: 0.0048 memory: 738 2022/08/11 11:12:04 - mmengine - INFO - Epoch(val) [1][3580/6282] eta: 0:15:26 time: 0.3430 data_time: 0.0043 memory: 37631 2022/08/11 11:12:05 - mmengine - INFO - Epoch(val) [1][3600/6282] eta: 0:02:46 time: 0.0621 data_time: 0.0064 memory: 788 2022/08/11 11:12:06 - mmengine - INFO - Epoch(val) [1][3620/6282] eta: 0:02:43 time: 0.0615 data_time: 0.0048 memory: 788 2022/08/11 11:12:08 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:02:38 time: 0.0602 data_time: 0.0048 memory: 788 2022/08/11 11:12:09 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:02:36 time: 0.0598 data_time: 0.0056 memory: 788 2022/08/11 11:12:10 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:02:50 time: 0.0654 data_time: 0.0051 memory: 808 2022/08/11 11:12:12 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:03:34 time: 0.0831 data_time: 0.0220 memory: 808 2022/08/11 11:12:14 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:04:09 time: 0.0975 data_time: 0.0359 memory: 808 2022/08/11 11:12:15 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:03:32 time: 0.0835 data_time: 0.0197 memory: 808 2022/08/11 11:12:17 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:03:56 time: 0.0938 data_time: 0.0313 memory: 808 2022/08/11 11:12:19 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:03:39 time: 0.0878 data_time: 0.0251 memory: 808 2022/08/11 11:12:21 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:03:49 time: 0.0924 data_time: 0.0289 memory: 808 2022/08/11 11:12:23 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:04:16 time: 0.1042 data_time: 0.0158 memory: 808 2022/08/11 11:12:24 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:02:45 time: 0.0679 data_time: 0.0054 memory: 808 2022/08/11 11:12:26 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:03:16 time: 0.0810 data_time: 0.0168 memory: 808 2022/08/11 11:12:27 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:03:04 time: 0.0769 data_time: 0.0167 memory: 808 2022/08/11 11:12:29 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:02:52 time: 0.0725 data_time: 0.0124 memory: 808 2022/08/11 11:12:30 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:02:26 time: 0.0621 data_time: 0.0051 memory: 808 2022/08/11 11:12:31 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:02:38 time: 0.0676 data_time: 0.0065 memory: 808 2022/08/11 11:12:33 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:02:23 time: 0.0618 data_time: 0.0043 memory: 808 2022/08/11 11:12:34 - mmengine - INFO - Epoch(val) [1][3980/6282] eta: 0:02:20 time: 0.0610 data_time: 0.0048 memory: 808 2022/08/11 11:12:35 - mmengine - INFO - Epoch(val) [1][4000/6282] eta: 0:02:21 time: 0.0620 data_time: 0.0037 memory: 808 2022/08/11 11:12:36 - mmengine - INFO - Epoch(val) [1][4020/6282] eta: 0:02:23 time: 0.0635 data_time: 0.0053 memory: 808 2022/08/11 11:12:38 - mmengine - INFO - Epoch(val) [1][4040/6282] eta: 0:02:21 time: 0.0631 data_time: 0.0054 memory: 901 2022/08/11 11:12:39 - mmengine - INFO - Epoch(val) [1][4060/6282] eta: 0:02:42 time: 0.0729 data_time: 0.0050 memory: 901 2022/08/11 11:12:41 - mmengine - INFO - Epoch(val) [1][4080/6282] eta: 0:02:34 time: 0.0702 data_time: 0.0042 memory: 901 2022/08/11 11:12:43 - mmengine - INFO - Epoch(val) [1][4100/6282] eta: 0:03:35 time: 0.0986 data_time: 0.0041 memory: 901 2022/08/11 11:12:44 - mmengine - INFO - Epoch(val) [1][4120/6282] eta: 0:02:41 time: 0.0749 data_time: 0.0047 memory: 901 2022/08/11 11:12:45 - mmengine - INFO - Epoch(val) [1][4140/6282] eta: 0:02:28 time: 0.0692 data_time: 0.0062 memory: 901 2022/08/11 11:12:46 - mmengine - INFO - Epoch(val) [1][4160/6282] eta: 0:01:54 time: 0.0541 data_time: 0.0040 memory: 738 2022/08/11 11:12:48 - mmengine - INFO - Epoch(val) [1][4180/6282] eta: 0:01:49 time: 0.0520 data_time: 0.0048 memory: 738 2022/08/11 11:12:49 - mmengine - INFO - Epoch(val) [1][4200/6282] eta: 0:01:50 time: 0.0533 data_time: 0.0054 memory: 738 2022/08/11 11:12:50 - mmengine - INFO - Epoch(val) [1][4220/6282] eta: 0:01:38 time: 0.0477 data_time: 0.0031 memory: 738 2022/08/11 11:12:51 - mmengine - INFO - Epoch(val) [1][4240/6282] eta: 0:02:41 time: 0.0792 data_time: 0.0037 memory: 2123 2022/08/11 11:12:52 - mmengine - INFO - Epoch(val) [1][4260/6282] eta: 0:01:59 time: 0.0592 data_time: 0.0055 memory: 736 2022/08/11 11:12:53 - mmengine - INFO - Epoch(val) [1][4280/6282] eta: 0:01:42 time: 0.0513 data_time: 0.0048 memory: 736 2022/08/11 11:12:54 - mmengine - INFO - Epoch(val) [1][4300/6282] eta: 0:01:37 time: 0.0491 data_time: 0.0037 memory: 736 2022/08/11 11:12:55 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:01:32 time: 0.0473 data_time: 0.0036 memory: 736 2022/08/11 11:12:56 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:01:30 time: 0.0465 data_time: 0.0034 memory: 736 2022/08/11 11:12:58 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:02:35 time: 0.0810 data_time: 0.0041 memory: 808 2022/08/11 11:12:59 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:01:54 time: 0.0604 data_time: 0.0041 memory: 808 2022/08/11 11:13:00 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:01:49 time: 0.0580 data_time: 0.0048 memory: 808 2022/08/11 11:13:01 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:01:44 time: 0.0563 data_time: 0.0033 memory: 808 2022/08/11 11:13:07 - mmengine - INFO - Epoch(val) [1][4440/6282] eta: 0:08:47 time: 0.2864 data_time: 0.0037 memory: 37642 2022/08/11 11:13:10 - mmengine - INFO - Epoch(val) [1][4460/6282] eta: 0:03:52 time: 0.1278 data_time: 0.0740 memory: 816 2022/08/11 11:13:11 - mmengine - INFO - Epoch(val) [1][4480/6282] eta: 0:01:40 time: 0.0558 data_time: 0.0030 memory: 816 2022/08/11 11:13:12 - mmengine - INFO - Epoch(val) [1][4500/6282] eta: 0:01:44 time: 0.0584 data_time: 0.0038 memory: 816 2022/08/11 11:13:15 - mmengine - INFO - Epoch(val) [1][4520/6282] eta: 0:04:23 time: 0.1496 data_time: 0.0883 memory: 816 2022/08/11 11:13:16 - mmengine - INFO - Epoch(val) [1][4540/6282] eta: 0:01:21 time: 0.0467 data_time: 0.0032 memory: 744 2022/08/11 11:13:17 - mmengine - INFO - Epoch(val) [1][4560/6282] eta: 0:01:23 time: 0.0487 data_time: 0.0036 memory: 744 2022/08/11 11:13:18 - mmengine - INFO - Epoch(val) [1][4580/6282] eta: 0:01:28 time: 0.0521 data_time: 0.0040 memory: 744 2022/08/11 11:13:19 - mmengine - INFO - Epoch(val) [1][4600/6282] eta: 0:01:28 time: 0.0525 data_time: 0.0036 memory: 744 2022/08/11 11:13:20 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:01:33 time: 0.0564 data_time: 0.0048 memory: 744 2022/08/11 11:13:21 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:01:48 time: 0.0660 data_time: 0.0055 memory: 816 2022/08/11 11:13:23 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:02:26 time: 0.0902 data_time: 0.0055 memory: 816 2022/08/11 11:13:24 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:01:43 time: 0.0644 data_time: 0.0053 memory: 816 2022/08/11 11:13:26 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:01:39 time: 0.0630 data_time: 0.0054 memory: 816 2022/08/11 11:13:27 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:01:53 time: 0.0727 data_time: 0.0069 memory: 6426 2022/08/11 11:13:28 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:01:23 time: 0.0543 data_time: 0.0039 memory: 768 2022/08/11 11:13:29 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:01:28 time: 0.0579 data_time: 0.0059 memory: 768 2022/08/11 11:13:31 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:23 time: 0.0554 data_time: 0.0047 memory: 768 2022/08/11 11:13:32 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:31 time: 0.0614 data_time: 0.0053 memory: 768 2022/08/11 11:13:34 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:03:10 time: 0.1304 data_time: 0.0603 memory: 808 2022/08/11 11:13:36 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:01:52 time: 0.0777 data_time: 0.0221 memory: 808 2022/08/11 11:13:37 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:01:25 time: 0.0598 data_time: 0.0046 memory: 808 2022/08/11 11:13:38 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:01:19 time: 0.0567 data_time: 0.0035 memory: 808 2022/08/11 11:13:44 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:06:14 time: 0.2713 data_time: 0.2160 memory: 808 2022/08/11 11:13:49 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:06:09 time: 0.2710 data_time: 0.2066 memory: 6446 2022/08/11 11:13:50 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:13 time: 0.0544 data_time: 0.0029 memory: 811 2022/08/11 11:13:51 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:01:17 time: 0.0586 data_time: 0.0039 memory: 811 2022/08/11 11:13:53 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:01:19 time: 0.0607 data_time: 0.0039 memory: 811 2022/08/11 11:13:54 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:01:11 time: 0.0554 data_time: 0.0032 memory: 811 2022/08/11 11:13:55 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:01:00 time: 0.0480 data_time: 0.0030 memory: 811 2022/08/11 11:13:56 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:00:58 time: 0.0468 data_time: 0.0035 memory: 743 2022/08/11 11:13:57 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:00:58 time: 0.0476 data_time: 0.0038 memory: 743 2022/08/11 11:13:58 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:01:02 time: 0.0518 data_time: 0.0033 memory: 743 2022/08/11 11:13:59 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:01:00 time: 0.0516 data_time: 0.0039 memory: 743 2022/08/11 11:14:00 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:00:56 time: 0.0484 data_time: 0.0034 memory: 743 2022/08/11 11:14:01 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:01:00 time: 0.0527 data_time: 0.0065 memory: 738 2022/08/11 11:14:02 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:01:02 time: 0.0557 data_time: 0.0040 memory: 738 2022/08/11 11:14:03 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:01:04 time: 0.0583 data_time: 0.0049 memory: 738 2022/08/11 11:14:04 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:01:02 time: 0.0578 data_time: 0.0058 memory: 738 2022/08/11 11:14:05 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:01:00 time: 0.0572 data_time: 0.0043 memory: 738 2022/08/11 11:14:06 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:00:50 time: 0.0486 data_time: 0.0042 memory: 736 2022/08/11 11:14:07 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:00:46 time: 0.0453 data_time: 0.0029 memory: 736 2022/08/11 11:14:08 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:00:47 time: 0.0471 data_time: 0.0024 memory: 736 2022/08/11 11:14:09 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:00:41 time: 0.0423 data_time: 0.0024 memory: 736 2022/08/11 11:14:10 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:00:41 time: 0.0431 data_time: 0.0027 memory: 738 2022/08/11 11:14:11 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:00:40 time: 0.0425 data_time: 0.0025 memory: 738 2022/08/11 11:14:11 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:00:38 time: 0.0420 data_time: 0.0023 memory: 738 2022/08/11 11:14:12 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:00:40 time: 0.0451 data_time: 0.0032 memory: 738 2022/08/11 11:14:13 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:00:43 time: 0.0498 data_time: 0.0043 memory: 738 2022/08/11 11:14:14 - mmengine - INFO - Epoch(val) [1][5420/6282] eta: 0:00:42 time: 0.0498 data_time: 0.0042 memory: 738 2022/08/11 11:14:15 - mmengine - INFO - Epoch(val) [1][5440/6282] eta: 0:00:48 time: 0.0574 data_time: 0.0054 memory: 738 2022/08/11 11:14:17 - mmengine - INFO - Epoch(val) [1][5460/6282] eta: 0:00:46 time: 0.0564 data_time: 0.0054 memory: 738 2022/08/11 11:14:18 - mmengine - INFO - Epoch(val) [1][5480/6282] eta: 0:00:42 time: 0.0527 data_time: 0.0047 memory: 738 2022/08/11 11:14:19 - mmengine - INFO - Epoch(val) [1][5500/6282] eta: 0:00:41 time: 0.0537 data_time: 0.0047 memory: 738 2022/08/11 11:14:23 - mmengine - INFO - Epoch(val) [1][5520/6282] eta: 0:02:57 time: 0.2330 data_time: 0.0059 memory: 37621 2022/08/11 11:14:24 - mmengine - INFO - Epoch(val) [1][5540/6282] eta: 0:00:36 time: 0.0494 data_time: 0.0038 memory: 763 2022/08/11 11:14:25 - mmengine - INFO - Epoch(val) [1][5560/6282] eta: 0:00:36 time: 0.0511 data_time: 0.0032 memory: 763 2022/08/11 11:14:26 - mmengine - INFO - Epoch(val) [1][5580/6282] eta: 0:00:33 time: 0.0471 data_time: 0.0027 memory: 763 2022/08/11 11:14:29 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:01:24 time: 0.1245 data_time: 0.0813 memory: 763 2022/08/11 11:14:30 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:42 time: 0.0638 data_time: 0.0224 memory: 763 2022/08/11 11:14:35 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:02:40 time: 0.2501 data_time: 0.2072 memory: 738 2022/08/11 11:14:36 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:30 time: 0.0491 data_time: 0.0033 memory: 738 2022/08/11 11:14:37 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:30 time: 0.0510 data_time: 0.0054 memory: 738 2022/08/11 11:14:38 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:28 time: 0.0485 data_time: 0.0042 memory: 738 2022/08/11 11:14:42 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:01:50 time: 0.1974 data_time: 0.0043 memory: 37628 2022/08/11 11:14:43 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:32 time: 0.0602 data_time: 0.0043 memory: 778 2022/08/11 11:14:44 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:00:30 time: 0.0578 data_time: 0.0043 memory: 778 2022/08/11 11:14:46 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:27 time: 0.0552 data_time: 0.0044 memory: 778 2022/08/11 11:14:47 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:27 time: 0.0570 data_time: 0.0050 memory: 778 2022/08/11 11:14:48 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:25 time: 0.0543 data_time: 0.0049 memory: 778 2022/08/11 11:14:49 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:24 time: 0.0554 data_time: 0.0057 memory: 763 2022/08/11 11:14:50 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:21 time: 0.0509 data_time: 0.0033 memory: 763 2022/08/11 11:14:51 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:20 time: 0.0507 data_time: 0.0033 memory: 763 2022/08/11 11:14:52 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:19 time: 0.0500 data_time: 0.0034 memory: 763 2022/08/11 11:14:53 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:28 time: 0.0783 data_time: 0.0046 memory: 763 2022/08/11 11:14:54 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:17 time: 0.0506 data_time: 0.0038 memory: 738 2022/08/11 11:14:56 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:17 time: 0.0538 data_time: 0.0052 memory: 738 2022/08/11 11:14:57 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:16 time: 0.0536 data_time: 0.0047 memory: 738 2022/08/11 11:14:58 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:15 time: 0.0562 data_time: 0.0036 memory: 808 2022/08/11 11:14:59 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:14 time: 0.0569 data_time: 0.0036 memory: 808 2022/08/11 11:15:00 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:13 time: 0.0575 data_time: 0.0038 memory: 808 2022/08/11 11:15:01 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:12 time: 0.0563 data_time: 0.0034 memory: 808 2022/08/11 11:15:02 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:11 time: 0.0592 data_time: 0.0040 memory: 808 2022/08/11 11:15:04 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:10 time: 0.0576 data_time: 0.0044 memory: 808 2022/08/11 11:15:05 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:09 time: 0.0589 data_time: 0.0047 memory: 808 2022/08/11 11:15:06 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:07 time: 0.0554 data_time: 0.0034 memory: 808 2022/08/11 11:15:07 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:06 time: 0.0561 data_time: 0.0044 memory: 808 2022/08/11 11:15:08 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:05 time: 0.0551 data_time: 0.0034 memory: 808 2022/08/11 11:15:09 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:04 time: 0.0548 data_time: 0.0031 memory: 808 2022/08/11 11:15:10 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:03 time: 0.0554 data_time: 0.0038 memory: 808 2022/08/11 11:15:11 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:02 time: 0.0554 data_time: 0.0032 memory: 808 2022/08/11 11:15:13 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:01 time: 0.0797 data_time: 0.0053 memory: 808 2022/08/11 11:15:14 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.0543 data_time: 0.0038 memory: 808 2022/08/11 11:20:31 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.2041 2022/08/11 11:20:36 - mmengine - INFO - The best checkpoint with 0.2041 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2022/08/11 11:20:47 - mmengine - INFO - Epoch(train) [2][20/3842] lr: 4.1421e-02 eta: 5:15:40 time: 0.5804 data_time: 0.0840 memory: 10484 grad_norm: 0.2377 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5444 recall@top3: 0.6444 prec@top3: 0.5333 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0908 loss: 0.0908 2022/08/11 11:20:59 - mmengine - INFO - Epoch(train) [2][40/3842] lr: 4.1597e-02 eta: 5:15:33 time: 0.5744 data_time: 0.0193 memory: 10484 grad_norm: 0.2545 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5648 recall@top3: 0.5870 prec@top3: 0.5741 recall@top5: 0.8593 prec@top5: 0.4889 loss_action_cls: 0.0937 loss: 0.0937 2022/08/11 11:21:09 - mmengine - INFO - Epoch(train) [2][60/3842] lr: 4.1773e-02 eta: 5:15:16 time: 0.5119 data_time: 0.0214 memory: 10484 grad_norm: 0.2478 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.6071 recall@top3: 0.5952 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.5000 loss_action_cls: 0.0970 loss: 0.0970 2022/08/11 11:21:20 - mmengine - INFO - Epoch(train) [2][80/3842] lr: 4.1948e-02 eta: 5:15:04 time: 0.5421 data_time: 0.0203 memory: 10484 grad_norm: 0.2420 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7963 recall@top3: 0.6343 prec@top3: 0.6296 recall@top5: 0.7778 prec@top5: 0.4889 loss_action_cls: 0.0942 loss: 0.0942 2022/08/11 11:21:30 - mmengine - INFO - Epoch(train) [2][100/3842] lr: 4.2124e-02 eta: 5:14:43 time: 0.4917 data_time: 0.0174 memory: 10484 grad_norm: 0.2380 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.8725 recall@top3: 0.7353 prec@top3: 0.6667 recall@top5: 0.9069 prec@top5: 0.4824 loss_action_cls: 0.0859 loss: 0.0859 2022/08/11 11:21:40 - mmengine - INFO - Epoch(train) [2][120/3842] lr: 4.2300e-02 eta: 5:14:27 time: 0.5173 data_time: 0.0205 memory: 10484 grad_norm: 0.2309 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.7333 recall@top3: 0.7500 prec@top3: 0.7000 recall@top5: 0.9000 prec@top5: 0.4900 loss_action_cls: 0.0974 loss: 0.0974 2022/08/11 11:21:52 - mmengine - INFO - Epoch(train) [2][140/3842] lr: 4.2476e-02 eta: 5:14:26 time: 0.6034 data_time: 0.0184 memory: 10484 grad_norm: 0.2396 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8194 recall@top3: 0.9444 prec@top3: 0.6389 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0913 loss: 0.0913 2022/08/11 11:22:01 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 11:22:02 - mmengine - INFO - Epoch(train) [2][160/3842] lr: 4.2651e-02 eta: 5:14:10 time: 0.5192 data_time: 0.0193 memory: 10484 grad_norm: 0.2402 recall@thr=0.5: 0.4815 prec@thr=0.5: 0.4167 recall@top3: 0.5833 prec@top3: 0.4259 recall@top5: 0.8889 prec@top5: 0.3778 loss_action_cls: 0.0874 loss: 0.0874 2022/08/11 11:22:12 - mmengine - INFO - Epoch(train) [2][180/3842] lr: 4.2827e-02 eta: 5:13:50 time: 0.4985 data_time: 0.0176 memory: 10484 grad_norm: 0.2304 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.6275 recall@top3: 0.8137 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.1022 loss: 0.1022 2022/08/11 11:22:23 - mmengine - INFO - Epoch(train) [2][200/3842] lr: 4.3003e-02 eta: 5:13:33 time: 0.5080 data_time: 0.0120 memory: 10484 grad_norm: 0.2286 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.5588 recall@top3: 0.7745 prec@top3: 0.5294 recall@top5: 0.9804 prec@top5: 0.4000 loss_action_cls: 0.0947 loss: 0.0947 2022/08/11 11:22:32 - mmengine - INFO - Epoch(train) [2][220/3842] lr: 4.3178e-02 eta: 5:13:12 time: 0.4911 data_time: 0.0178 memory: 10484 grad_norm: 0.2453 recall@thr=0.5: 0.5441 prec@thr=0.5: 0.7059 recall@top3: 0.6176 prec@top3: 0.4706 recall@top5: 0.8431 prec@top5: 0.4000 loss_action_cls: 0.1008 loss: 0.1008 2022/08/11 11:22:43 - mmengine - INFO - Epoch(train) [2][240/3842] lr: 4.3354e-02 eta: 5:12:55 time: 0.5097 data_time: 0.0142 memory: 10484 grad_norm: 0.2608 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.6667 recall@top3: 0.7821 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4923 loss_action_cls: 0.1004 loss: 0.1004 2022/08/11 11:22:53 - mmengine - INFO - Epoch(train) [2][260/3842] lr: 4.3530e-02 eta: 5:12:40 time: 0.5223 data_time: 0.0162 memory: 10484 grad_norm: 0.2505 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.8125 recall@top3: 0.7760 prec@top3: 0.6458 recall@top5: 0.9062 prec@top5: 0.4625 loss_action_cls: 0.0929 loss: 0.0929 2022/08/11 11:23:03 - mmengine - INFO - Epoch(train) [2][280/3842] lr: 4.3706e-02 eta: 5:12:20 time: 0.4928 data_time: 0.0177 memory: 10484 grad_norm: 0.2214 recall@thr=0.5: 0.5539 prec@thr=0.5: 0.5735 recall@top3: 0.5686 prec@top3: 0.5686 recall@top5: 0.8480 prec@top5: 0.4941 loss_action_cls: 0.0939 loss: 0.0939 2022/08/11 11:23:13 - mmengine - INFO - Epoch(train) [2][300/3842] lr: 4.3881e-02 eta: 5:12:06 time: 0.5246 data_time: 0.0141 memory: 10484 grad_norm: 0.2158 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.9242 recall@top3: 0.8182 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4364 loss_action_cls: 0.0858 loss: 0.0858 2022/08/11 11:23:24 - mmengine - INFO - Epoch(train) [2][320/3842] lr: 4.4057e-02 eta: 5:11:51 time: 0.5261 data_time: 0.0178 memory: 10484 grad_norm: 0.2271 recall@thr=0.5: 0.7078 prec@thr=0.5: 0.8824 recall@top3: 0.7520 prec@top3: 0.7059 recall@top5: 0.8824 prec@top5: 0.5294 loss_action_cls: 0.0839 loss: 0.0839 2022/08/11 11:23:34 - mmengine - INFO - Epoch(train) [2][340/3842] lr: 4.4233e-02 eta: 5:11:31 time: 0.4893 data_time: 0.0168 memory: 10484 grad_norm: 0.2372 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.8651 recall@top3: 0.9127 prec@top3: 0.7937 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0826 loss: 0.0826 2022/08/11 11:23:44 - mmengine - INFO - Epoch(train) [2][360/3842] lr: 4.4408e-02 eta: 5:11:16 time: 0.5181 data_time: 0.0155 memory: 10484 grad_norm: 0.2343 recall@thr=0.5: 0.4648 prec@thr=0.5: 0.6574 recall@top3: 0.5898 prec@top3: 0.6481 recall@top5: 0.8528 prec@top5: 0.5667 loss_action_cls: 0.0951 loss: 0.0951 2022/08/11 11:23:54 - mmengine - INFO - Epoch(train) [2][380/3842] lr: 4.4584e-02 eta: 5:10:55 time: 0.4876 data_time: 0.0170 memory: 10484 grad_norm: 0.2371 recall@thr=0.5: 0.6686 prec@thr=0.5: 0.8627 recall@top3: 0.8471 prec@top3: 0.5882 recall@top5: 0.9765 prec@top5: 0.4235 loss_action_cls: 0.0888 loss: 0.0888 2022/08/11 11:24:04 - mmengine - INFO - Epoch(train) [2][400/3842] lr: 4.4760e-02 eta: 5:10:39 time: 0.5099 data_time: 0.0145 memory: 10484 grad_norm: 0.2228 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.7281 recall@top3: 0.8553 prec@top3: 0.6842 recall@top5: 0.8816 prec@top5: 0.4316 loss_action_cls: 0.1022 loss: 0.1022 2022/08/11 11:24:14 - mmengine - INFO - Epoch(train) [2][420/3842] lr: 4.4936e-02 eta: 5:10:23 time: 0.5132 data_time: 0.0164 memory: 10484 grad_norm: 0.2452 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.7333 recall@top3: 0.5958 prec@top3: 0.6333 recall@top5: 0.8917 prec@top5: 0.5500 loss_action_cls: 0.0940 loss: 0.0940 2022/08/11 11:24:24 - mmengine - INFO - Epoch(train) [2][440/3842] lr: 4.5111e-02 eta: 5:10:03 time: 0.4888 data_time: 0.0167 memory: 10484 grad_norm: 0.2396 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6806 recall@top3: 0.9167 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3833 loss_action_cls: 0.0903 loss: 0.0903 2022/08/11 11:24:34 - mmengine - INFO - Epoch(train) [2][460/3842] lr: 4.5287e-02 eta: 5:09:46 time: 0.5108 data_time: 0.0156 memory: 10484 grad_norm: 0.2482 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.6667 recall@top3: 0.8039 prec@top3: 0.5098 recall@top5: 0.9706 prec@top5: 0.3882 loss_action_cls: 0.0908 loss: 0.0908 2022/08/11 11:24:45 - mmengine - INFO - Epoch(train) [2][480/3842] lr: 4.5463e-02 eta: 5:09:33 time: 0.5308 data_time: 0.0170 memory: 10484 grad_norm: 0.2234 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.4769 recall@top3: 0.5556 prec@top3: 0.4259 recall@top5: 0.8796 prec@top5: 0.3778 loss_action_cls: 0.0758 loss: 0.0758 2022/08/11 11:24:55 - mmengine - INFO - Epoch(train) [2][500/3842] lr: 4.5638e-02 eta: 5:09:17 time: 0.5110 data_time: 0.0173 memory: 10484 grad_norm: 0.2232 recall@thr=0.5: 0.5941 prec@thr=0.5: 0.7353 recall@top3: 0.7882 prec@top3: 0.7255 recall@top5: 0.9529 prec@top5: 0.5412 loss_action_cls: 0.0981 loss: 0.0981 2022/08/11 11:25:05 - mmengine - INFO - Epoch(train) [2][520/3842] lr: 4.5814e-02 eta: 5:08:58 time: 0.4941 data_time: 0.0182 memory: 10484 grad_norm: 0.2361 recall@thr=0.5: 0.5319 prec@thr=0.5: 0.6812 recall@top3: 0.5949 prec@top3: 0.6087 recall@top5: 0.8913 prec@top5: 0.4870 loss_action_cls: 0.0961 loss: 0.0961 2022/08/11 11:25:15 - mmengine - INFO - Epoch(train) [2][540/3842] lr: 4.5990e-02 eta: 5:08:42 time: 0.5098 data_time: 0.0149 memory: 10484 grad_norm: 0.2326 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.8519 recall@top3: 0.7685 prec@top3: 0.7407 recall@top5: 0.8889 prec@top5: 0.5333 loss_action_cls: 0.0844 loss: 0.0844 2022/08/11 11:25:25 - mmengine - INFO - Epoch(train) [2][560/3842] lr: 4.6166e-02 eta: 5:08:22 time: 0.4880 data_time: 0.0166 memory: 10484 grad_norm: 0.2375 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.6212 recall@top3: 0.7576 prec@top3: 0.5455 recall@top5: 0.8939 prec@top5: 0.3818 loss_action_cls: 0.0874 loss: 0.0874 2022/08/11 11:25:35 - mmengine - INFO - Epoch(train) [2][580/3842] lr: 4.6341e-02 eta: 5:08:08 time: 0.5202 data_time: 0.0204 memory: 10484 grad_norm: 0.2348 recall@thr=0.5: 0.7794 prec@thr=0.5: 0.7745 recall@top3: 0.7990 prec@top3: 0.6667 recall@top5: 0.9363 prec@top5: 0.4941 loss_action_cls: 0.0904 loss: 0.0904 2022/08/11 11:25:45 - mmengine - INFO - Epoch(train) [2][600/3842] lr: 4.6517e-02 eta: 5:07:49 time: 0.4896 data_time: 0.0165 memory: 10484 grad_norm: 0.2197 recall@thr=0.5: 0.4778 prec@thr=0.5: 0.6667 recall@top3: 0.6111 prec@top3: 0.5111 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0924 loss: 0.0924 2022/08/11 11:25:56 - mmengine - INFO - Epoch(train) [2][620/3842] lr: 4.6693e-02 eta: 5:07:36 time: 0.5316 data_time: 0.0134 memory: 10484 grad_norm: 0.2242 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8000 recall@top3: 0.8500 prec@top3: 0.7333 recall@top5: 0.9000 prec@top5: 0.4800 loss_action_cls: 0.0767 loss: 0.0767 2022/08/11 11:26:06 - mmengine - INFO - Epoch(train) [2][640/3842] lr: 4.6868e-02 eta: 5:07:18 time: 0.4988 data_time: 0.0247 memory: 10484 grad_norm: 0.2324 recall@thr=0.5: 0.5822 prec@thr=0.5: 0.7444 recall@top3: 0.7178 prec@top3: 0.7111 recall@top5: 0.8756 prec@top5: 0.5333 loss_action_cls: 0.0772 loss: 0.0772 2022/08/11 11:26:16 - mmengine - INFO - Epoch(train) [2][660/3842] lr: 4.7044e-02 eta: 5:07:06 time: 0.5324 data_time: 0.0136 memory: 10484 grad_norm: 0.2268 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.8718 recall@top3: 0.9231 prec@top3: 0.7692 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0873 loss: 0.0873 2022/08/11 11:26:26 - mmengine - INFO - Epoch(train) [2][680/3842] lr: 4.7220e-02 eta: 5:06:47 time: 0.4884 data_time: 0.0180 memory: 10484 grad_norm: 0.2515 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.6818 recall@top3: 0.7424 prec@top3: 0.4545 recall@top5: 0.9545 prec@top5: 0.3636 loss_action_cls: 0.0954 loss: 0.0954 2022/08/11 11:26:37 - mmengine - INFO - Epoch(train) [2][700/3842] lr: 4.7396e-02 eta: 5:06:32 time: 0.5178 data_time: 0.0130 memory: 10484 grad_norm: 0.2247 recall@thr=0.5: 0.7696 prec@thr=0.5: 0.7500 recall@top3: 0.8039 prec@top3: 0.6471 recall@top5: 0.9069 prec@top5: 0.4471 loss_action_cls: 0.0942 loss: 0.0942 2022/08/11 11:26:46 - mmengine - INFO - Epoch(train) [2][720/3842] lr: 4.7571e-02 eta: 5:06:14 time: 0.4902 data_time: 0.0181 memory: 10484 grad_norm: 0.2378 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6667 recall@top3: 0.6667 prec@top3: 0.7222 recall@top5: 0.9167 prec@top5: 0.5889 loss_action_cls: 0.0949 loss: 0.0949 2022/08/11 11:26:57 - mmengine - INFO - Epoch(train) [2][740/3842] lr: 4.7747e-02 eta: 5:05:58 time: 0.5117 data_time: 0.0143 memory: 10484 grad_norm: 0.2297 recall@thr=0.5: 0.7600 prec@thr=0.5: 0.7067 recall@top3: 0.8533 prec@top3: 0.6133 recall@top5: 0.9733 prec@top5: 0.4320 loss_action_cls: 0.0748 loss: 0.0748 2022/08/11 11:27:06 - mmengine - INFO - Epoch(train) [2][760/3842] lr: 4.7923e-02 eta: 5:05:39 time: 0.4870 data_time: 0.0179 memory: 10484 grad_norm: 0.2253 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8333 recall@top3: 0.8235 prec@top3: 0.7647 recall@top5: 0.9510 prec@top5: 0.5412 loss_action_cls: 0.0973 loss: 0.0973 2022/08/11 11:27:17 - mmengine - INFO - Epoch(train) [2][780/3842] lr: 4.8098e-02 eta: 5:05:23 time: 0.5081 data_time: 0.0148 memory: 10484 grad_norm: 0.2324 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.6111 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0867 loss: 0.0867 2022/08/11 11:27:26 - mmengine - INFO - Epoch(train) [2][800/3842] lr: 4.8274e-02 eta: 5:05:05 time: 0.4921 data_time: 0.0168 memory: 10484 grad_norm: 0.2175 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.7889 recall@top3: 0.8667 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0769 loss: 0.0769 2022/08/11 11:27:37 - mmengine - INFO - Epoch(train) [2][820/3842] lr: 4.8450e-02 eta: 5:04:50 time: 0.5098 data_time: 0.0153 memory: 10484 grad_norm: 0.2139 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8472 recall@top3: 0.7500 prec@top3: 0.7778 recall@top5: 0.9583 prec@top5: 0.5667 loss_action_cls: 0.0777 loss: 0.0777 2022/08/11 11:27:47 - mmengine - INFO - Epoch(train) [2][840/3842] lr: 4.8626e-02 eta: 5:04:33 time: 0.5016 data_time: 0.0177 memory: 10484 grad_norm: 0.2465 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7895 recall@top3: 0.7895 prec@top3: 0.7368 recall@top5: 0.9518 prec@top5: 0.5474 loss_action_cls: 0.0798 loss: 0.0798 2022/08/11 11:27:57 - mmengine - INFO - Epoch(train) [2][860/3842] lr: 4.8801e-02 eta: 5:04:17 time: 0.5065 data_time: 0.0156 memory: 10484 grad_norm: 0.2320 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.9211 recall@top3: 0.8289 prec@top3: 0.7544 recall@top5: 0.9035 prec@top5: 0.5053 loss_action_cls: 0.0920 loss: 0.0920 2022/08/11 11:28:08 - mmengine - INFO - Epoch(train) [2][880/3842] lr: 4.8977e-02 eta: 5:04:13 time: 0.5884 data_time: 0.0187 memory: 10484 grad_norm: 0.2329 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.6875 recall@top3: 0.6771 prec@top3: 0.4167 recall@top5: 0.8854 prec@top5: 0.3500 loss_action_cls: 0.0847 loss: 0.0847 2022/08/11 11:28:19 - mmengine - INFO - Epoch(train) [2][900/3842] lr: 4.9153e-02 eta: 5:03:59 time: 0.5228 data_time: 0.0178 memory: 10484 grad_norm: 0.2102 recall@thr=0.5: 0.4819 prec@thr=0.5: 0.5087 recall@top3: 0.6014 prec@top3: 0.5507 recall@top5: 0.9312 prec@top5: 0.4783 loss_action_cls: 0.0901 loss: 0.0901 2022/08/11 11:28:29 - mmengine - INFO - Epoch(train) [2][920/3842] lr: 4.9328e-02 eta: 5:03:44 time: 0.5056 data_time: 0.0182 memory: 10484 grad_norm: 0.2305 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7639 recall@top3: 0.8120 prec@top3: 0.6852 recall@top5: 0.9037 prec@top5: 0.4778 loss_action_cls: 0.0825 loss: 0.0825 2022/08/11 11:28:39 - mmengine - INFO - Epoch(train) [2][940/3842] lr: 4.9504e-02 eta: 5:03:29 time: 0.5120 data_time: 0.0167 memory: 10484 grad_norm: 0.2270 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7692 recall@top3: 0.6923 prec@top3: 0.5641 recall@top5: 0.8718 prec@top5: 0.4308 loss_action_cls: 0.0905 loss: 0.0905 2022/08/11 11:28:50 - mmengine - INFO - Epoch(train) [2][960/3842] lr: 4.9680e-02 eta: 5:03:13 time: 0.5106 data_time: 0.0198 memory: 10484 grad_norm: 0.2309 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.7628 recall@top3: 0.9231 prec@top3: 0.6410 recall@top5: 0.9615 prec@top5: 0.4154 loss_action_cls: 0.0801 loss: 0.0801 2022/08/11 11:29:00 - mmengine - INFO - Epoch(train) [2][980/3842] lr: 4.9856e-02 eta: 5:02:59 time: 0.5134 data_time: 0.0200 memory: 10484 grad_norm: 0.2348 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6667 recall@top3: 0.7451 prec@top3: 0.5490 recall@top5: 0.8480 prec@top5: 0.3882 loss_action_cls: 0.0931 loss: 0.0931 2022/08/11 11:29:10 - mmengine - INFO - Epoch(train) [2][1000/3842] lr: 5.0031e-02 eta: 5:02:43 time: 0.5072 data_time: 0.0165 memory: 10484 grad_norm: 0.2385 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.7396 recall@top3: 0.8542 prec@top3: 0.7292 recall@top5: 0.8750 prec@top5: 0.4500 loss_action_cls: 0.0860 loss: 0.0860 2022/08/11 11:29:20 - mmengine - INFO - Epoch(train) [2][1020/3842] lr: 5.0207e-02 eta: 5:02:28 time: 0.5123 data_time: 0.0169 memory: 10484 grad_norm: 0.2227 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7941 recall@top3: 0.8824 prec@top3: 0.7647 recall@top5: 0.9804 prec@top5: 0.5176 loss_action_cls: 0.0892 loss: 0.0892 2022/08/11 11:29:30 - mmengine - INFO - Epoch(train) [2][1040/3842] lr: 5.0383e-02 eta: 5:02:11 time: 0.4948 data_time: 0.0176 memory: 10484 grad_norm: 0.2301 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.6625 recall@top3: 0.7833 prec@top3: 0.5333 recall@top5: 0.9292 prec@top5: 0.4100 loss_action_cls: 0.0831 loss: 0.0831 2022/08/11 11:29:40 - mmengine - INFO - Epoch(train) [2][1060/3842] lr: 5.0558e-02 eta: 5:01:56 time: 0.5093 data_time: 0.0151 memory: 10484 grad_norm: 0.2188 recall@thr=0.5: 0.4514 prec@thr=0.5: 0.6250 recall@top3: 0.6528 prec@top3: 0.6111 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0864 loss: 0.0864 2022/08/11 11:29:51 - mmengine - INFO - Epoch(train) [2][1080/3842] lr: 5.0734e-02 eta: 5:01:44 time: 0.5323 data_time: 0.0192 memory: 10484 grad_norm: 0.2211 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6111 recall@top3: 0.6310 prec@top3: 0.5238 recall@top5: 0.8175 prec@top5: 0.4000 loss_action_cls: 0.0801 loss: 0.0801 2022/08/11 11:30:01 - mmengine - INFO - Epoch(train) [2][1100/3842] lr: 5.0910e-02 eta: 5:01:27 time: 0.4909 data_time: 0.0203 memory: 10484 grad_norm: 0.2196 recall@thr=0.5: 0.4287 prec@thr=0.5: 0.8056 recall@top3: 0.6917 prec@top3: 0.7222 recall@top5: 0.8528 prec@top5: 0.5444 loss_action_cls: 0.0870 loss: 0.0870 2022/08/11 11:30:11 - mmengine - INFO - Epoch(train) [2][1120/3842] lr: 5.1086e-02 eta: 5:01:14 time: 0.5272 data_time: 0.0144 memory: 10484 grad_norm: 0.2244 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7895 recall@top3: 0.7895 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4632 loss_action_cls: 0.0791 loss: 0.0791 2022/08/11 11:30:21 - mmengine - INFO - Epoch(train) [2][1140/3842] lr: 5.1261e-02 eta: 5:00:59 time: 0.5069 data_time: 0.0186 memory: 10484 grad_norm: 0.2242 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.6611 recall@top3: 0.7056 prec@top3: 0.6889 recall@top5: 0.8500 prec@top5: 0.5200 loss_action_cls: 0.0805 loss: 0.0805 2022/08/11 11:30:30 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 11:30:31 - mmengine - INFO - Epoch(train) [2][1160/3842] lr: 5.1437e-02 eta: 5:00:42 time: 0.4941 data_time: 0.0189 memory: 10484 grad_norm: 0.2183 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7870 recall@top3: 0.8287 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.5444 loss_action_cls: 0.0960 loss: 0.0960 2022/08/11 11:30:42 - mmengine - INFO - Epoch(train) [2][1180/3842] lr: 5.1613e-02 eta: 5:00:34 time: 0.5592 data_time: 0.0139 memory: 10484 grad_norm: 0.2328 recall@thr=0.5: 0.3990 prec@thr=0.5: 0.6354 recall@top3: 0.6896 prec@top3: 0.6458 recall@top5: 0.8438 prec@top5: 0.5000 loss_action_cls: 0.0987 loss: 0.0987 2022/08/11 11:30:52 - mmengine - INFO - Epoch(train) [2][1200/3842] lr: 5.1788e-02 eta: 5:00:17 time: 0.4955 data_time: 0.0182 memory: 10484 grad_norm: 0.2154 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.7949 recall@top3: 0.7949 prec@top3: 0.5641 recall@top5: 0.8590 prec@top5: 0.3846 loss_action_cls: 0.0830 loss: 0.0830 2022/08/11 11:31:04 - mmengine - INFO - Epoch(train) [2][1220/3842] lr: 5.1964e-02 eta: 5:00:11 time: 0.5750 data_time: 0.0194 memory: 10484 grad_norm: 0.2362 recall@thr=0.5: 0.6095 prec@thr=0.5: 0.6905 recall@top3: 0.7095 prec@top3: 0.4524 recall@top5: 0.8667 prec@top5: 0.3571 loss_action_cls: 0.0743 loss: 0.0743 2022/08/11 11:31:16 - mmengine - INFO - Epoch(train) [2][1240/3842] lr: 5.2140e-02 eta: 5:00:10 time: 0.6164 data_time: 0.0138 memory: 10484 grad_norm: 0.2352 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.6296 recall@top3: 0.6852 prec@top3: 0.5556 recall@top5: 0.8611 prec@top5: 0.4333 loss_action_cls: 0.0992 loss: 0.0992 2022/08/11 11:31:27 - mmengine - INFO - Epoch(train) [2][1260/3842] lr: 5.2316e-02 eta: 5:00:01 time: 0.5553 data_time: 0.0183 memory: 10484 grad_norm: 0.2327 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.8333 recall@top3: 0.8284 prec@top3: 0.8039 recall@top5: 0.9510 prec@top5: 0.5647 loss_action_cls: 0.0874 loss: 0.0874 2022/08/11 11:31:37 - mmengine - INFO - Epoch(train) [2][1280/3842] lr: 5.2491e-02 eta: 4:59:45 time: 0.4996 data_time: 0.0193 memory: 10484 grad_norm: 0.2332 recall@thr=0.5: 0.6103 prec@thr=0.5: 0.6026 recall@top3: 0.7256 prec@top3: 0.5385 recall@top5: 0.8846 prec@top5: 0.4308 loss_action_cls: 0.0834 loss: 0.0834 2022/08/11 11:31:49 - mmengine - INFO - Epoch(train) [2][1300/3842] lr: 5.2667e-02 eta: 4:59:37 time: 0.5642 data_time: 0.0166 memory: 10484 grad_norm: 0.2278 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7870 recall@top3: 0.8241 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0870 loss: 0.0870 2022/08/11 11:31:59 - mmengine - INFO - Epoch(train) [2][1320/3842] lr: 5.2843e-02 eta: 4:59:27 time: 0.5392 data_time: 0.0366 memory: 10484 grad_norm: 0.2378 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.7193 recall@top3: 0.7018 prec@top3: 0.6491 recall@top5: 0.9430 prec@top5: 0.5474 loss_action_cls: 0.0790 loss: 0.0790 2022/08/11 11:32:10 - mmengine - INFO - Epoch(train) [2][1340/3842] lr: 5.3018e-02 eta: 4:59:13 time: 0.5173 data_time: 0.0168 memory: 10484 grad_norm: 0.2192 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.5606 recall@top3: 0.6212 prec@top3: 0.5455 recall@top5: 0.6212 prec@top5: 0.3273 loss_action_cls: 0.0888 loss: 0.0888 2022/08/11 11:32:20 - mmengine - INFO - Epoch(train) [2][1360/3842] lr: 5.3194e-02 eta: 4:58:56 time: 0.4947 data_time: 0.0204 memory: 10484 grad_norm: 0.2219 recall@thr=0.5: 0.4235 prec@thr=0.5: 0.6176 recall@top3: 0.5804 prec@top3: 0.5882 recall@top5: 0.9216 prec@top5: 0.5059 loss_action_cls: 0.0879 loss: 0.0879 2022/08/11 11:32:30 - mmengine - INFO - Epoch(train) [2][1380/3842] lr: 5.3370e-02 eta: 4:58:42 time: 0.5114 data_time: 0.0152 memory: 10484 grad_norm: 0.2118 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.6535 recall@top3: 0.7281 prec@top3: 0.5789 recall@top5: 0.8509 prec@top5: 0.4211 loss_action_cls: 0.0858 loss: 0.0858 2022/08/11 11:32:40 - mmengine - INFO - Epoch(train) [2][1400/3842] lr: 5.3545e-02 eta: 4:58:27 time: 0.5049 data_time: 0.0189 memory: 10484 grad_norm: 0.2173 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.7292 recall@top5: 0.9792 prec@top5: 0.5125 loss_action_cls: 0.0847 loss: 0.0847 2022/08/11 11:32:50 - mmengine - INFO - Epoch(train) [2][1420/3842] lr: 5.3721e-02 eta: 4:58:12 time: 0.5121 data_time: 0.0173 memory: 10484 grad_norm: 0.2219 recall@thr=0.5: 0.7462 prec@thr=0.5: 0.7372 recall@top3: 0.7462 prec@top3: 0.5385 recall@top5: 0.7769 prec@top5: 0.3538 loss_action_cls: 0.0845 loss: 0.0845 2022/08/11 11:33:00 - mmengine - INFO - Epoch(train) [2][1440/3842] lr: 5.3897e-02 eta: 4:57:57 time: 0.5064 data_time: 0.0173 memory: 10484 grad_norm: 0.2386 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6373 recall@top3: 0.7304 prec@top3: 0.5882 recall@top5: 0.9118 prec@top5: 0.4588 loss_action_cls: 0.0822 loss: 0.0822 2022/08/11 11:33:11 - mmengine - INFO - Epoch(train) [2][1460/3842] lr: 5.4073e-02 eta: 4:57:43 time: 0.5094 data_time: 0.0162 memory: 10484 grad_norm: 0.2215 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.6923 recall@top3: 0.7051 prec@top3: 0.4872 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0829 loss: 0.0829 2022/08/11 11:33:20 - mmengine - INFO - Epoch(train) [2][1480/3842] lr: 5.4248e-02 eta: 4:57:26 time: 0.4905 data_time: 0.0180 memory: 10484 grad_norm: 0.2261 recall@thr=0.5: 0.5817 prec@thr=0.5: 0.7083 recall@top3: 0.7358 prec@top3: 0.7500 recall@top5: 0.8025 prec@top5: 0.5100 loss_action_cls: 0.0949 loss: 0.0949 2022/08/11 11:33:31 - mmengine - INFO - Epoch(train) [2][1500/3842] lr: 5.4424e-02 eta: 4:57:12 time: 0.5116 data_time: 0.0147 memory: 10484 grad_norm: 0.2288 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7031 recall@top3: 0.7500 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0871 loss: 0.0871 2022/08/11 11:33:40 - mmengine - INFO - Epoch(train) [2][1520/3842] lr: 5.4600e-02 eta: 4:56:55 time: 0.4910 data_time: 0.0175 memory: 10484 grad_norm: 0.2319 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.8056 recall@top3: 0.7465 prec@top3: 0.6111 recall@top5: 0.8750 prec@top5: 0.4417 loss_action_cls: 0.0917 loss: 0.0917 2022/08/11 11:33:51 - mmengine - INFO - Epoch(train) [2][1540/3842] lr: 5.4775e-02 eta: 4:56:41 time: 0.5103 data_time: 0.0131 memory: 10484 grad_norm: 0.2335 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6167 recall@top3: 0.6750 prec@top3: 0.4833 recall@top5: 0.8250 prec@top5: 0.3500 loss_action_cls: 0.0883 loss: 0.0883 2022/08/11 11:34:00 - mmengine - INFO - Epoch(train) [2][1560/3842] lr: 5.4951e-02 eta: 4:56:24 time: 0.4916 data_time: 0.0198 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7353 recall@top3: 0.8725 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0850 loss: 0.0850 2022/08/11 11:34:11 - mmengine - INFO - Epoch(train) [2][1580/3842] lr: 5.5127e-02 eta: 4:56:10 time: 0.5149 data_time: 0.0160 memory: 10484 grad_norm: 0.2138 recall@thr=0.5: 0.2700 prec@thr=0.5: 0.4000 recall@top3: 0.4022 prec@top3: 0.4000 recall@top5: 0.4844 prec@top5: 0.3067 loss_action_cls: 0.0900 loss: 0.0900 2022/08/11 11:34:21 - mmengine - INFO - Epoch(train) [2][1600/3842] lr: 5.5303e-02 eta: 4:55:54 time: 0.4921 data_time: 0.0189 memory: 10484 grad_norm: 0.2218 recall@thr=0.5: 0.5858 prec@thr=0.5: 0.8875 recall@top3: 0.7850 prec@top3: 0.8167 recall@top5: 0.9008 prec@top5: 0.5700 loss_action_cls: 0.0790 loss: 0.0790 2022/08/11 11:34:31 - mmengine - INFO - Epoch(train) [2][1620/3842] lr: 5.5478e-02 eta: 4:55:40 time: 0.5121 data_time: 0.0139 memory: 10484 grad_norm: 0.2412 recall@thr=0.5: 0.4611 prec@thr=0.5: 0.5222 recall@top3: 0.6000 prec@top3: 0.5111 recall@top5: 0.8333 prec@top5: 0.4533 loss_action_cls: 0.0779 loss: 0.0779 2022/08/11 11:34:41 - mmengine - INFO - Epoch(train) [2][1640/3842] lr: 5.5654e-02 eta: 4:55:24 time: 0.4938 data_time: 0.0165 memory: 10484 grad_norm: 0.2358 recall@thr=0.5: 0.7028 prec@thr=0.5: 0.8333 recall@top3: 0.6486 prec@top3: 0.6944 recall@top5: 0.9514 prec@top5: 0.6167 loss_action_cls: 0.0751 loss: 0.0751 2022/08/11 11:34:51 - mmengine - INFO - Epoch(train) [2][1660/3842] lr: 5.5830e-02 eta: 4:55:10 time: 0.5113 data_time: 0.0172 memory: 10484 grad_norm: 0.2198 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.8667 recall@top3: 0.8583 prec@top3: 0.7167 recall@top5: 0.9083 prec@top5: 0.4700 loss_action_cls: 0.0881 loss: 0.0881 2022/08/11 11:35:03 - mmengine - INFO - Epoch(train) [2][1680/3842] lr: 5.6005e-02 eta: 4:55:07 time: 0.6036 data_time: 0.0199 memory: 10484 grad_norm: 0.2107 recall@thr=0.5: 0.4778 prec@thr=0.5: 0.8556 recall@top3: 0.7667 prec@top3: 0.7111 recall@top5: 0.9000 prec@top5: 0.5067 loss_action_cls: 0.0869 loss: 0.0869 2022/08/11 11:35:13 - mmengine - INFO - Epoch(train) [2][1700/3842] lr: 5.6181e-02 eta: 4:54:51 time: 0.4892 data_time: 0.0184 memory: 10484 grad_norm: 0.2325 recall@thr=0.5: 0.2244 prec@thr=0.5: 0.3462 recall@top3: 0.4103 prec@top3: 0.3846 recall@top5: 0.6795 prec@top5: 0.3385 loss_action_cls: 0.0843 loss: 0.0843 2022/08/11 11:35:23 - mmengine - INFO - Epoch(train) [2][1720/3842] lr: 5.6357e-02 eta: 4:54:37 time: 0.5115 data_time: 0.0137 memory: 10484 grad_norm: 0.2325 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7833 recall@top3: 0.7315 prec@top3: 0.6852 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0824 loss: 0.0824 2022/08/11 11:35:33 - mmengine - INFO - Epoch(train) [2][1740/3842] lr: 5.6533e-02 eta: 4:54:21 time: 0.4940 data_time: 0.0174 memory: 10484 grad_norm: 0.2247 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.6889 recall@top3: 0.6778 prec@top3: 0.6222 recall@top5: 0.9000 prec@top5: 0.4800 loss_action_cls: 0.0762 loss: 0.0762 2022/08/11 11:35:43 - mmengine - INFO - Epoch(train) [2][1760/3842] lr: 5.6708e-02 eta: 4:54:07 time: 0.5112 data_time: 0.0161 memory: 10484 grad_norm: 0.2105 recall@thr=0.5: 0.4769 prec@thr=0.5: 0.6111 recall@top3: 0.5648 prec@top3: 0.5370 recall@top5: 0.8287 prec@top5: 0.4556 loss_action_cls: 0.0790 loss: 0.0790 2022/08/11 11:35:53 - mmengine - INFO - Epoch(train) [2][1780/3842] lr: 5.6884e-02 eta: 4:53:51 time: 0.4970 data_time: 0.0178 memory: 10484 grad_norm: 0.2140 recall@thr=0.5: 0.8625 prec@thr=0.5: 0.7750 recall@top3: 0.8833 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.5000 loss_action_cls: 0.0796 loss: 0.0796 2022/08/11 11:36:03 - mmengine - INFO - Epoch(train) [2][1800/3842] lr: 5.7060e-02 eta: 4:53:38 time: 0.5166 data_time: 0.0158 memory: 10484 grad_norm: 0.2187 recall@thr=0.5: 0.5087 prec@thr=0.5: 0.8267 recall@top3: 0.6547 prec@top3: 0.6933 recall@top5: 0.8100 prec@top5: 0.5280 loss_action_cls: 0.0873 loss: 0.0873 2022/08/11 11:36:13 - mmengine - INFO - Epoch(train) [2][1820/3842] lr: 5.7235e-02 eta: 4:53:22 time: 0.4886 data_time: 0.0177 memory: 10484 grad_norm: 0.2337 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9479 recall@top3: 0.7708 prec@top3: 0.6458 recall@top5: 0.9844 prec@top5: 0.4875 loss_action_cls: 0.0825 loss: 0.0825 2022/08/11 11:36:24 - mmengine - INFO - Epoch(train) [2][1840/3842] lr: 5.7411e-02 eta: 4:53:12 time: 0.5438 data_time: 0.0154 memory: 10484 grad_norm: 0.2191 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.7000 recall@top3: 0.6667 prec@top3: 0.4667 recall@top5: 0.8333 prec@top5: 0.3600 loss_action_cls: 0.0811 loss: 0.0811 2022/08/11 11:36:34 - mmengine - INFO - Epoch(train) [2][1860/3842] lr: 5.7587e-02 eta: 4:52:55 time: 0.4883 data_time: 0.0174 memory: 10484 grad_norm: 0.2197 recall@thr=0.5: 0.8532 prec@thr=0.5: 0.8929 recall@top3: 0.9008 prec@top3: 0.8254 recall@top5: 0.9881 prec@top5: 0.5429 loss_action_cls: 0.0913 loss: 0.0913 2022/08/11 11:36:44 - mmengine - INFO - Epoch(train) [2][1880/3842] lr: 5.7763e-02 eta: 4:52:43 time: 0.5200 data_time: 0.0155 memory: 10484 grad_norm: 0.2331 recall@thr=0.5: 0.6465 prec@thr=0.5: 0.6979 recall@top3: 0.5882 prec@top3: 0.6250 recall@top5: 0.8438 prec@top5: 0.5417 loss_action_cls: 0.0791 loss: 0.0791 2022/08/11 11:36:54 - mmengine - INFO - Epoch(train) [2][1900/3842] lr: 5.7938e-02 eta: 4:52:27 time: 0.4913 data_time: 0.0224 memory: 10484 grad_norm: 0.2130 recall@thr=0.5: 0.5677 prec@thr=0.5: 0.7135 recall@top3: 0.8490 prec@top3: 0.8125 recall@top5: 0.9010 prec@top5: 0.5250 loss_action_cls: 0.0849 loss: 0.0849 2022/08/11 11:37:04 - mmengine - INFO - Epoch(train) [2][1920/3842] lr: 5.8114e-02 eta: 4:52:14 time: 0.5175 data_time: 0.0150 memory: 10484 grad_norm: 0.2174 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8250 recall@top3: 0.8333 prec@top3: 0.6000 recall@top5: 0.9417 prec@top5: 0.4100 loss_action_cls: 0.0789 loss: 0.0789 2022/08/11 11:37:14 - mmengine - INFO - Epoch(train) [2][1940/3842] lr: 5.8290e-02 eta: 4:51:59 time: 0.4980 data_time: 0.0178 memory: 10484 grad_norm: 0.2210 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.7576 recall@top3: 0.8106 prec@top3: 0.6667 recall@top5: 0.8106 prec@top5: 0.4000 loss_action_cls: 0.0759 loss: 0.0759 2022/08/11 11:37:25 - mmengine - INFO - Epoch(train) [2][1960/3842] lr: 5.8465e-02 eta: 4:51:46 time: 0.5211 data_time: 0.0139 memory: 10484 grad_norm: 0.2221 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6111 recall@top3: 0.7778 prec@top3: 0.6111 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0792 loss: 0.0792 2022/08/11 11:37:35 - mmengine - INFO - Epoch(train) [2][1980/3842] lr: 5.8641e-02 eta: 4:51:34 time: 0.5266 data_time: 0.0172 memory: 10484 grad_norm: 0.2164 recall@thr=0.5: 0.6939 prec@thr=0.5: 0.6754 recall@top3: 0.6719 prec@top3: 0.5965 recall@top5: 0.9368 prec@top5: 0.4947 loss_action_cls: 0.0879 loss: 0.0879 2022/08/11 11:37:45 - mmengine - INFO - Epoch(train) [2][2000/3842] lr: 5.8817e-02 eta: 4:51:19 time: 0.4957 data_time: 0.0192 memory: 10484 grad_norm: 0.2166 recall@thr=0.5: 0.8287 prec@thr=0.5: 0.7870 recall@top3: 0.9352 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0788 loss: 0.0788 2022/08/11 11:38:02 - mmengine - INFO - Epoch(train) [2][2020/3842] lr: 5.8993e-02 eta: 4:51:43 time: 0.8534 data_time: 0.2529 memory: 10484 grad_norm: 0.2211 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7143 recall@top3: 0.7381 prec@top3: 0.5714 recall@top5: 0.8571 prec@top5: 0.4000 loss_action_cls: 0.0873 loss: 0.0873 2022/08/11 11:38:13 - mmengine - INFO - Epoch(train) [2][2040/3842] lr: 5.9168e-02 eta: 4:51:30 time: 0.5174 data_time: 0.0205 memory: 10484 grad_norm: 0.2385 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7549 recall@top3: 0.6471 prec@top3: 0.5490 recall@top5: 0.8627 prec@top5: 0.4471 loss_action_cls: 0.0886 loss: 0.0886 2022/08/11 11:38:23 - mmengine - INFO - Epoch(train) [2][2060/3842] lr: 5.9344e-02 eta: 4:51:16 time: 0.5071 data_time: 0.0213 memory: 10484 grad_norm: 0.2294 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.5667 recall@top3: 0.6111 prec@top3: 0.4667 recall@top5: 0.8222 prec@top5: 0.3867 loss_action_cls: 0.0809 loss: 0.0809 2022/08/11 11:38:34 - mmengine - INFO - Epoch(train) [2][2080/3842] lr: 5.9520e-02 eta: 4:51:06 time: 0.5448 data_time: 0.0175 memory: 10484 grad_norm: 0.2182 recall@thr=0.5: 0.3452 prec@thr=0.5: 0.4722 recall@top3: 0.5913 prec@top3: 0.5397 recall@top5: 0.8611 prec@top5: 0.4857 loss_action_cls: 0.0885 loss: 0.0885 2022/08/11 11:38:45 - mmengine - INFO - Epoch(train) [2][2100/3842] lr: 5.9695e-02 eta: 4:50:58 time: 0.5603 data_time: 0.0161 memory: 10484 grad_norm: 0.2015 recall@thr=0.5: 0.6898 prec@thr=0.5: 0.7000 recall@top3: 0.7963 prec@top3: 0.6852 recall@top5: 0.9259 prec@top5: 0.5000 loss_action_cls: 0.0781 loss: 0.0781 2022/08/11 11:38:55 - mmengine - INFO - Epoch(train) [2][2120/3842] lr: 5.9871e-02 eta: 4:50:46 time: 0.5277 data_time: 0.0215 memory: 10484 grad_norm: 0.2074 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.5875 recall@top3: 0.6833 prec@top3: 0.4667 recall@top5: 0.8083 prec@top5: 0.3500 loss_action_cls: 0.0786 loss: 0.0786 2022/08/11 11:39:06 - mmengine - INFO - Epoch(train) [2][2140/3842] lr: 6.0047e-02 eta: 4:50:34 time: 0.5275 data_time: 0.0193 memory: 10484 grad_norm: 0.2151 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.8246 recall@top3: 0.8070 prec@top3: 0.7193 recall@top5: 0.9211 prec@top5: 0.5053 loss_action_cls: 0.0734 loss: 0.0734 2022/08/11 11:39:17 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 11:39:18 - mmengine - INFO - Epoch(train) [2][2160/3842] lr: 6.0223e-02 eta: 4:50:33 time: 0.6207 data_time: 0.0184 memory: 10484 grad_norm: 0.2240 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8333 recall@top3: 0.8167 prec@top3: 0.5333 recall@top5: 0.9250 prec@top5: 0.3800 loss_action_cls: 0.0783 loss: 0.0783 2022/08/11 11:39:29 - mmengine - INFO - Epoch(train) [2][2180/3842] lr: 6.0398e-02 eta: 4:50:20 time: 0.5194 data_time: 0.0188 memory: 10484 grad_norm: 0.2180 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8718 recall@top3: 0.9487 prec@top3: 0.7179 recall@top5: 0.9487 prec@top5: 0.4308 loss_action_cls: 0.0842 loss: 0.0842 2022/08/11 11:39:39 - mmengine - INFO - Epoch(train) [2][2200/3842] lr: 6.0574e-02 eta: 4:50:04 time: 0.4928 data_time: 0.0167 memory: 10484 grad_norm: 0.2166 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.5909 recall@top3: 0.7273 prec@top3: 0.4545 recall@top5: 0.9091 prec@top5: 0.3455 loss_action_cls: 0.0736 loss: 0.0736 2022/08/11 11:39:51 - mmengine - INFO - Epoch(train) [2][2220/3842] lr: 6.0750e-02 eta: 4:50:05 time: 0.6407 data_time: 0.0153 memory: 10484 grad_norm: 0.2107 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6042 recall@top3: 0.7917 prec@top3: 0.5417 recall@top5: 0.9167 prec@top5: 0.3875 loss_action_cls: 0.0748 loss: 0.0748 2022/08/11 11:40:01 - mmengine - INFO - Epoch(train) [2][2240/3842] lr: 6.0925e-02 eta: 4:49:50 time: 0.4996 data_time: 0.0188 memory: 10484 grad_norm: 0.2128 recall@thr=0.5: 0.8480 prec@thr=0.5: 0.9275 recall@top3: 0.8725 prec@top3: 0.8235 recall@top5: 0.9608 prec@top5: 0.5529 loss_action_cls: 0.0839 loss: 0.0839 2022/08/11 11:40:12 - mmengine - INFO - Epoch(train) [2][2260/3842] lr: 6.1101e-02 eta: 4:49:37 time: 0.5202 data_time: 0.0186 memory: 10484 grad_norm: 0.2100 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.8596 recall@top3: 0.7544 prec@top3: 0.7544 recall@top5: 0.9737 prec@top5: 0.5895 loss_action_cls: 0.0778 loss: 0.0778 2022/08/11 11:40:22 - mmengine - INFO - Epoch(train) [2][2280/3842] lr: 6.1277e-02 eta: 4:49:25 time: 0.5253 data_time: 0.0179 memory: 10484 grad_norm: 0.2357 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8333 recall@top3: 0.8021 prec@top3: 0.8125 recall@top5: 0.9792 prec@top5: 0.6125 loss_action_cls: 0.0794 loss: 0.0794 2022/08/11 11:40:32 - mmengine - INFO - Epoch(train) [2][2300/3842] lr: 6.1453e-02 eta: 4:49:09 time: 0.4889 data_time: 0.0171 memory: 10484 grad_norm: 0.2289 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.8810 recall@top3: 0.9206 prec@top3: 0.7937 recall@top5: 0.9683 prec@top5: 0.5048 loss_action_cls: 0.0818 loss: 0.0818 2022/08/11 11:40:43 - mmengine - INFO - Epoch(train) [2][2320/3842] lr: 6.1628e-02 eta: 4:48:58 time: 0.5358 data_time: 0.0140 memory: 10484 grad_norm: 0.2312 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6275 recall@top3: 0.6225 prec@top3: 0.5686 recall@top5: 0.8480 prec@top5: 0.4471 loss_action_cls: 0.0837 loss: 0.0837 2022/08/11 11:40:53 - mmengine - INFO - Epoch(train) [2][2340/3842] lr: 6.1804e-02 eta: 4:48:42 time: 0.4872 data_time: 0.0165 memory: 10484 grad_norm: 0.2135 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.8056 recall@top3: 0.8722 prec@top3: 0.7778 recall@top5: 0.9667 prec@top5: 0.5333 loss_action_cls: 0.0745 loss: 0.0745 2022/08/11 11:41:03 - mmengine - INFO - Epoch(train) [2][2360/3842] lr: 6.1980e-02 eta: 4:48:30 time: 0.5203 data_time: 0.0154 memory: 10484 grad_norm: 0.2083 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6026 recall@top3: 0.6667 prec@top3: 0.4103 recall@top5: 0.8077 prec@top5: 0.3077 loss_action_cls: 0.0719 loss: 0.0719 2022/08/11 11:41:13 - mmengine - INFO - Epoch(train) [2][2380/3842] lr: 6.2155e-02 eta: 4:48:14 time: 0.4928 data_time: 0.0189 memory: 10484 grad_norm: 0.2361 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.5417 recall@top3: 0.7917 prec@top3: 0.7083 recall@top5: 0.8750 prec@top5: 0.4750 loss_action_cls: 0.0859 loss: 0.0859 2022/08/11 11:41:23 - mmengine - INFO - Epoch(train) [2][2400/3842] lr: 6.2331e-02 eta: 4:48:01 time: 0.5084 data_time: 0.0139 memory: 10484 grad_norm: 0.2054 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7000 recall@top3: 0.6833 prec@top3: 0.6444 recall@top5: 0.8944 prec@top5: 0.5200 loss_action_cls: 0.0812 loss: 0.0812 2022/08/11 11:41:33 - mmengine - INFO - Epoch(train) [2][2420/3842] lr: 6.2507e-02 eta: 4:47:45 time: 0.4927 data_time: 0.0179 memory: 10484 grad_norm: 0.2411 recall@thr=0.5: 0.5754 prec@thr=0.5: 0.6135 recall@top3: 0.7063 prec@top3: 0.7143 recall@top5: 0.8611 prec@top5: 0.5238 loss_action_cls: 0.0896 loss: 0.0896 2022/08/11 11:41:43 - mmengine - INFO - Epoch(train) [2][2440/3842] lr: 6.2683e-02 eta: 4:47:32 time: 0.5127 data_time: 0.0171 memory: 10484 grad_norm: 0.2234 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.4687 recall@top3: 0.7500 prec@top3: 0.4167 recall@top5: 0.8750 prec@top5: 0.3000 loss_action_cls: 0.0850 loss: 0.0850 2022/08/11 11:41:53 - mmengine - INFO - Epoch(train) [2][2460/3842] lr: 6.2858e-02 eta: 4:47:17 time: 0.4899 data_time: 0.0173 memory: 10484 grad_norm: 0.2141 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8929 recall@top3: 0.8571 prec@top3: 0.6905 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0756 loss: 0.0756 2022/08/11 11:42:03 - mmengine - INFO - Epoch(train) [2][2480/3842] lr: 6.3034e-02 eta: 4:47:03 time: 0.5088 data_time: 0.0147 memory: 10484 grad_norm: 0.2186 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.8205 recall@top3: 0.8846 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0779 loss: 0.0779 2022/08/11 11:42:13 - mmengine - INFO - Epoch(train) [2][2500/3842] lr: 6.3210e-02 eta: 4:46:48 time: 0.4890 data_time: 0.0177 memory: 10484 grad_norm: 0.2258 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.8974 recall@top3: 0.8846 prec@top3: 0.6923 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0792 loss: 0.0792 2022/08/11 11:42:23 - mmengine - INFO - Epoch(train) [2][2520/3842] lr: 6.3385e-02 eta: 4:46:34 time: 0.5118 data_time: 0.0162 memory: 10484 grad_norm: 0.2227 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.6146 recall@top3: 0.8646 prec@top3: 0.5833 recall@top5: 0.9271 prec@top5: 0.3750 loss_action_cls: 0.0856 loss: 0.0856 2022/08/11 11:42:33 - mmengine - INFO - Epoch(train) [2][2540/3842] lr: 6.3561e-02 eta: 4:46:19 time: 0.4906 data_time: 0.0200 memory: 10484 grad_norm: 0.2257 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.6579 recall@top3: 0.8070 prec@top3: 0.5614 recall@top5: 0.9649 prec@top5: 0.4316 loss_action_cls: 0.0885 loss: 0.0885 2022/08/11 11:42:43 - mmengine - INFO - Epoch(train) [2][2560/3842] lr: 6.3737e-02 eta: 4:46:06 time: 0.5092 data_time: 0.0145 memory: 10484 grad_norm: 0.2281 recall@thr=0.5: 0.7731 prec@thr=0.5: 0.8352 recall@top3: 0.7639 prec@top3: 0.6481 recall@top5: 0.9120 prec@top5: 0.4556 loss_action_cls: 0.0760 loss: 0.0760 2022/08/11 11:42:53 - mmengine - INFO - Epoch(train) [2][2580/3842] lr: 6.3913e-02 eta: 4:45:50 time: 0.4899 data_time: 0.0173 memory: 10484 grad_norm: 0.2192 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.5644 recall@top3: 0.8000 prec@top3: 0.5778 recall@top5: 0.9111 prec@top5: 0.3867 loss_action_cls: 0.0809 loss: 0.0809 2022/08/11 11:43:03 - mmengine - INFO - Epoch(train) [2][2600/3842] lr: 6.4088e-02 eta: 4:45:37 time: 0.5079 data_time: 0.0158 memory: 10484 grad_norm: 0.2267 recall@thr=0.5: 0.4405 prec@thr=0.5: 0.7738 recall@top3: 0.6905 prec@top3: 0.6905 recall@top5: 0.8155 prec@top5: 0.5143 loss_action_cls: 0.0669 loss: 0.0669 2022/08/11 11:43:13 - mmengine - INFO - Epoch(train) [2][2620/3842] lr: 6.4264e-02 eta: 4:45:22 time: 0.4929 data_time: 0.0221 memory: 10484 grad_norm: 0.2179 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.8039 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0742 loss: 0.0742 2022/08/11 11:43:24 - mmengine - INFO - Epoch(train) [2][2640/3842] lr: 6.4440e-02 eta: 4:45:11 time: 0.5329 data_time: 0.0165 memory: 10484 grad_norm: 0.2292 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.6667 recall@top5: 0.8667 prec@top5: 0.4400 loss_action_cls: 0.0731 loss: 0.0731 2022/08/11 11:43:34 - mmengine - INFO - Epoch(train) [2][2660/3842] lr: 6.4615e-02 eta: 4:44:56 time: 0.4967 data_time: 0.0240 memory: 10484 grad_norm: 0.2441 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8788 recall@top3: 0.8788 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4000 loss_action_cls: 0.0652 loss: 0.0652 2022/08/11 11:43:44 - mmengine - INFO - Epoch(train) [2][2680/3842] lr: 6.4791e-02 eta: 4:44:43 time: 0.5107 data_time: 0.0135 memory: 10484 grad_norm: 0.2158 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7619 recall@top3: 0.8810 prec@top3: 0.6905 recall@top5: 0.9286 prec@top5: 0.4429 loss_action_cls: 0.0658 loss: 0.0658 2022/08/11 11:43:54 - mmengine - INFO - Epoch(train) [2][2700/3842] lr: 6.4967e-02 eta: 4:44:28 time: 0.4947 data_time: 0.0178 memory: 10484 grad_norm: 0.2182 recall@thr=0.5: 0.5993 prec@thr=0.5: 0.7138 recall@top3: 0.6826 prec@top3: 0.6522 recall@top5: 0.8812 prec@top5: 0.5217 loss_action_cls: 0.0891 loss: 0.0891 2022/08/11 11:44:04 - mmengine - INFO - Epoch(train) [2][2720/3842] lr: 6.5143e-02 eta: 4:44:15 time: 0.5080 data_time: 0.0149 memory: 10484 grad_norm: 0.2241 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6667 recall@top3: 0.7361 prec@top3: 0.5556 recall@top5: 0.9722 prec@top5: 0.4333 loss_action_cls: 0.0760 loss: 0.0760 2022/08/11 11:44:14 - mmengine - INFO - Epoch(train) [2][2740/3842] lr: 6.5318e-02 eta: 4:44:01 time: 0.4964 data_time: 0.0220 memory: 10484 grad_norm: 0.2327 recall@thr=0.5: 0.5602 prec@thr=0.5: 0.7315 recall@top3: 0.7546 prec@top3: 0.5926 recall@top5: 0.7963 prec@top5: 0.3778 loss_action_cls: 0.0870 loss: 0.0870 2022/08/11 11:44:24 - mmengine - INFO - Epoch(train) [2][2760/3842] lr: 6.5494e-02 eta: 4:43:48 time: 0.5131 data_time: 0.0157 memory: 10484 grad_norm: 0.2283 recall@thr=0.5: 0.1667 prec@thr=0.5: 0.3636 recall@top3: 0.3636 prec@top3: 0.3333 recall@top5: 0.6364 prec@top5: 0.2727 loss_action_cls: 0.0910 loss: 0.0910 2022/08/11 11:44:34 - mmengine - INFO - Epoch(train) [2][2780/3842] lr: 6.5670e-02 eta: 4:43:33 time: 0.4896 data_time: 0.0171 memory: 10484 grad_norm: 0.2164 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8333 recall@top3: 0.7895 prec@top3: 0.7368 recall@top5: 0.9035 prec@top5: 0.4842 loss_action_cls: 0.0765 loss: 0.0765 2022/08/11 11:44:44 - mmengine - INFO - Epoch(train) [2][2800/3842] lr: 6.5845e-02 eta: 4:43:19 time: 0.5090 data_time: 0.0143 memory: 10484 grad_norm: 0.2332 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.6961 recall@top3: 0.8824 prec@top3: 0.5098 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0912 loss: 0.0912 2022/08/11 11:44:56 - mmengine - INFO - Epoch(train) [2][2820/3842] lr: 6.6021e-02 eta: 4:43:16 time: 0.6111 data_time: 0.0876 memory: 10484 grad_norm: 0.2172 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7760 recall@top3: 0.7200 prec@top3: 0.5600 recall@top5: 0.8733 prec@top5: 0.4240 loss_action_cls: 0.0771 loss: 0.0771 2022/08/11 11:45:06 - mmengine - INFO - Epoch(train) [2][2840/3842] lr: 6.6197e-02 eta: 4:43:02 time: 0.5012 data_time: 0.0215 memory: 10484 grad_norm: 0.2168 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.6053 recall@top3: 0.7807 prec@top3: 0.5965 recall@top5: 0.8772 prec@top5: 0.4105 loss_action_cls: 0.0745 loss: 0.0745 2022/08/11 11:45:17 - mmengine - INFO - Epoch(train) [2][2860/3842] lr: 6.6373e-02 eta: 4:42:50 time: 0.5204 data_time: 0.0171 memory: 10484 grad_norm: 0.2073 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.7821 recall@top3: 0.8974 prec@top3: 0.5897 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0778 loss: 0.0778 2022/08/11 11:45:27 - mmengine - INFO - Epoch(train) [2][2880/3842] lr: 6.6548e-02 eta: 4:42:37 time: 0.5106 data_time: 0.0176 memory: 10484 grad_norm: 0.2175 recall@thr=0.5: 0.5990 prec@thr=0.5: 0.6354 recall@top3: 0.6719 prec@top3: 0.7083 recall@top5: 0.9271 prec@top5: 0.6000 loss_action_cls: 0.0783 loss: 0.0783 2022/08/11 11:45:37 - mmengine - INFO - Epoch(train) [2][2900/3842] lr: 6.6724e-02 eta: 4:42:25 time: 0.5180 data_time: 0.0165 memory: 10484 grad_norm: 0.2031 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.8667 recall@top3: 0.8889 prec@top3: 0.6222 recall@top5: 0.9667 prec@top5: 0.4133 loss_action_cls: 0.0806 loss: 0.0806 2022/08/11 11:45:48 - mmengine - INFO - Epoch(train) [2][2920/3842] lr: 6.6900e-02 eta: 4:42:12 time: 0.5160 data_time: 0.0185 memory: 10484 grad_norm: 0.2103 recall@thr=0.5: 0.2639 prec@thr=0.5: 0.3750 recall@top3: 0.5556 prec@top3: 0.5000 recall@top5: 0.8333 prec@top5: 0.4667 loss_action_cls: 0.0760 loss: 0.0760 2022/08/11 11:45:59 - mmengine - INFO - Epoch(train) [2][2940/3842] lr: 6.7075e-02 eta: 4:42:04 time: 0.5653 data_time: 0.0211 memory: 10484 grad_norm: 0.2162 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.9048 recall@top3: 0.8849 prec@top3: 0.7937 recall@top5: 0.9841 prec@top5: 0.5524 loss_action_cls: 0.0729 loss: 0.0729 2022/08/11 11:46:09 - mmengine - INFO - Epoch(train) [2][2960/3842] lr: 6.7251e-02 eta: 4:41:52 time: 0.5166 data_time: 0.0169 memory: 10484 grad_norm: 0.2231 recall@thr=0.5: 0.4509 prec@thr=0.5: 0.7130 recall@top3: 0.6444 prec@top3: 0.5741 recall@top5: 0.9056 prec@top5: 0.5111 loss_action_cls: 0.0801 loss: 0.0801 2022/08/11 11:46:20 - mmengine - INFO - Epoch(train) [2][2980/3842] lr: 6.7427e-02 eta: 4:41:41 time: 0.5302 data_time: 0.0181 memory: 10484 grad_norm: 0.2133 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.6591 recall@top3: 0.8636 prec@top3: 0.4848 recall@top5: 1.0000 prec@top5: 0.3818 loss_action_cls: 0.0765 loss: 0.0765 2022/08/11 11:46:30 - mmengine - INFO - Epoch(train) [2][3000/3842] lr: 6.7602e-02 eta: 4:41:28 time: 0.5144 data_time: 0.0172 memory: 10484 grad_norm: 0.2248 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6556 recall@top3: 0.8333 prec@top3: 0.6444 recall@top5: 0.9556 prec@top5: 0.4533 loss_action_cls: 0.0750 loss: 0.0750 2022/08/11 11:46:42 - mmengine - INFO - Epoch(train) [2][3020/3842] lr: 6.7778e-02 eta: 4:41:25 time: 0.6203 data_time: 0.0184 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.7206 prec@thr=0.5: 0.7794 recall@top3: 0.7500 prec@top3: 0.6471 recall@top5: 0.8480 prec@top5: 0.4353 loss_action_cls: 0.0841 loss: 0.0841 2022/08/11 11:46:52 - mmengine - INFO - Epoch(train) [2][3040/3842] lr: 6.7954e-02 eta: 4:41:11 time: 0.4920 data_time: 0.0172 memory: 10484 grad_norm: 0.2158 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7167 recall@top3: 0.6500 prec@top3: 0.4667 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0753 loss: 0.0753 2022/08/11 11:47:03 - mmengine - INFO - Epoch(train) [2][3060/3842] lr: 6.8130e-02 eta: 4:41:00 time: 0.5306 data_time: 0.0136 memory: 10484 grad_norm: 0.2048 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.8229 recall@top3: 0.8625 prec@top3: 0.6875 recall@top5: 0.9750 prec@top5: 0.4875 loss_action_cls: 0.0711 loss: 0.0711 2022/08/11 11:47:13 - mmengine - INFO - Epoch(train) [2][3080/3842] lr: 6.8305e-02 eta: 4:40:45 time: 0.4919 data_time: 0.0195 memory: 10484 grad_norm: 0.2111 recall@thr=0.5: 0.3718 prec@thr=0.5: 0.3974 recall@top3: 0.6795 prec@top3: 0.4872 recall@top5: 0.7949 prec@top5: 0.3538 loss_action_cls: 0.0775 loss: 0.0775 2022/08/11 11:47:24 - mmengine - INFO - Epoch(train) [2][3100/3842] lr: 6.8481e-02 eta: 4:40:35 time: 0.5443 data_time: 0.0158 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.5677 prec@thr=0.5: 0.7396 recall@top3: 0.7240 prec@top3: 0.6875 recall@top5: 0.9583 prec@top5: 0.5375 loss_action_cls: 0.0788 loss: 0.0788 2022/08/11 11:47:33 - mmengine - INFO - Epoch(train) [2][3120/3842] lr: 6.8657e-02 eta: 4:40:21 time: 0.4921 data_time: 0.0181 memory: 10484 grad_norm: 0.2202 recall@thr=0.5: 0.4493 prec@thr=0.5: 0.6667 recall@top3: 0.6159 prec@top3: 0.4783 recall@top5: 0.7899 prec@top5: 0.3826 loss_action_cls: 0.0747 loss: 0.0747 2022/08/11 11:47:44 - mmengine - INFO - Epoch(train) [2][3140/3842] lr: 6.8832e-02 eta: 4:40:08 time: 0.5166 data_time: 0.0144 memory: 10484 grad_norm: 0.2221 recall@thr=0.5: 0.6096 prec@thr=0.5: 0.5570 recall@top3: 0.7105 prec@top3: 0.5614 recall@top5: 0.8158 prec@top5: 0.4000 loss_action_cls: 0.0761 loss: 0.0761 2022/08/11 11:47:53 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 11:47:54 - mmengine - INFO - Epoch(train) [2][3160/3842] lr: 6.9008e-02 eta: 4:39:54 time: 0.4948 data_time: 0.0170 memory: 10484 grad_norm: 0.2044 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.9722 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0675 loss: 0.0675 2022/08/11 11:48:04 - mmengine - INFO - Epoch(train) [2][3180/3842] lr: 6.9184e-02 eta: 4:39:41 time: 0.5122 data_time: 0.0164 memory: 10484 grad_norm: 0.2141 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.5833 recall@top3: 0.9167 prec@top3: 0.5000 recall@top5: 0.9444 prec@top5: 0.3167 loss_action_cls: 0.0783 loss: 0.0783 2022/08/11 11:48:14 - mmengine - INFO - Epoch(train) [2][3200/3842] lr: 6.9360e-02 eta: 4:39:27 time: 0.4926 data_time: 0.0209 memory: 10484 grad_norm: 0.2191 recall@thr=0.5: 0.4423 prec@thr=0.5: 0.5897 recall@top3: 0.6731 prec@top3: 0.4615 recall@top5: 0.8077 prec@top5: 0.3538 loss_action_cls: 0.0759 loss: 0.0759 2022/08/11 11:48:24 - mmengine - INFO - Epoch(train) [2][3220/3842] lr: 6.9535e-02 eta: 4:39:16 time: 0.5275 data_time: 0.0146 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7024 recall@top3: 0.7679 prec@top3: 0.5952 recall@top5: 0.8750 prec@top5: 0.4429 loss_action_cls: 0.0813 loss: 0.0813 2022/08/11 11:48:34 - mmengine - INFO - Epoch(train) [2][3240/3842] lr: 6.9711e-02 eta: 4:39:02 time: 0.4952 data_time: 0.0177 memory: 10484 grad_norm: 0.2281 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.7333 recall@top3: 0.8000 prec@top3: 0.6222 recall@top5: 0.9444 prec@top5: 0.4533 loss_action_cls: 0.0773 loss: 0.0773 2022/08/11 11:48:45 - mmengine - INFO - Epoch(train) [2][3260/3842] lr: 6.9887e-02 eta: 4:38:49 time: 0.5142 data_time: 0.0182 memory: 10484 grad_norm: 0.2232 recall@thr=0.5: 0.2674 prec@thr=0.5: 0.4722 recall@top3: 0.5590 prec@top3: 0.5139 recall@top5: 0.6944 prec@top5: 0.4000 loss_action_cls: 0.0841 loss: 0.0841 2022/08/11 11:48:56 - mmengine - INFO - Epoch(train) [2][3280/3842] lr: 7.0062e-02 eta: 4:38:43 time: 0.5825 data_time: 0.0202 memory: 10484 grad_norm: 0.2017 recall@thr=0.5: 0.5132 prec@thr=0.5: 0.5482 recall@top3: 0.7588 prec@top3: 0.5614 recall@top5: 0.9167 prec@top5: 0.4316 loss_action_cls: 0.0757 loss: 0.0757 2022/08/11 11:49:12 - mmengine - INFO - Epoch(train) [2][3300/3842] lr: 7.0238e-02 eta: 4:38:53 time: 0.7785 data_time: 0.0179 memory: 10484 grad_norm: 0.2156 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.9706 recall@top3: 0.9559 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.3529 loss_action_cls: 0.0730 loss: 0.0730 2022/08/11 11:49:23 - mmengine - INFO - Epoch(train) [2][3320/3842] lr: 7.0414e-02 eta: 4:38:43 time: 0.5445 data_time: 0.0177 memory: 10484 grad_norm: 0.2192 recall@thr=0.5: 0.3406 prec@thr=0.5: 0.6232 recall@top3: 0.5652 prec@top3: 0.5072 recall@top5: 0.6196 prec@top5: 0.3478 loss_action_cls: 0.0740 loss: 0.0740 2022/08/11 11:49:33 - mmengine - INFO - Epoch(train) [2][3340/3842] lr: 7.0590e-02 eta: 4:38:31 time: 0.5192 data_time: 0.0191 memory: 10484 grad_norm: 0.2106 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.9231 recall@top3: 0.8269 prec@top3: 0.7179 recall@top5: 0.9808 prec@top5: 0.5538 loss_action_cls: 0.0738 loss: 0.0738 2022/08/11 11:49:44 - mmengine - INFO - Epoch(train) [2][3360/3842] lr: 7.0765e-02 eta: 4:38:24 time: 0.5713 data_time: 0.0201 memory: 10484 grad_norm: 0.2072 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8421 recall@top3: 0.8246 prec@top3: 0.7193 recall@top5: 0.9737 prec@top5: 0.5263 loss_action_cls: 0.0823 loss: 0.0823 2022/08/11 11:49:55 - mmengine - INFO - Epoch(train) [2][3380/3842] lr: 7.0941e-02 eta: 4:38:12 time: 0.5220 data_time: 0.0173 memory: 10484 grad_norm: 0.2241 recall@thr=0.5: 0.5990 prec@thr=0.5: 0.9062 recall@top3: 0.7604 prec@top3: 0.7500 recall@top5: 0.9792 prec@top5: 0.6000 loss_action_cls: 0.0763 loss: 0.0763 2022/08/11 11:50:06 - mmengine - INFO - Epoch(train) [2][3400/3842] lr: 7.1117e-02 eta: 4:38:01 time: 0.5341 data_time: 0.0186 memory: 10484 grad_norm: 0.2066 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7130 recall@top3: 0.7963 prec@top3: 0.6543 recall@top5: 0.9537 prec@top5: 0.4593 loss_action_cls: 0.0726 loss: 0.0726 2022/08/11 11:50:16 - mmengine - INFO - Epoch(train) [2][3420/3842] lr: 7.1292e-02 eta: 4:37:48 time: 0.5025 data_time: 0.0223 memory: 10484 grad_norm: 0.2093 recall@thr=0.5: 0.4773 prec@thr=0.5: 0.4621 recall@top3: 0.5530 prec@top3: 0.4091 recall@top5: 0.8864 prec@top5: 0.3455 loss_action_cls: 0.0703 loss: 0.0703 2022/08/11 11:50:26 - mmengine - INFO - Epoch(train) [2][3440/3842] lr: 7.1468e-02 eta: 4:37:37 time: 0.5349 data_time: 0.0219 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.7784 recall@top3: 0.8431 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4706 loss_action_cls: 0.0787 loss: 0.0787 2022/08/11 11:50:36 - mmengine - INFO - Epoch(train) [2][3460/3842] lr: 7.1644e-02 eta: 4:37:23 time: 0.4947 data_time: 0.0182 memory: 10484 grad_norm: 0.2157 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7937 recall@top3: 0.8095 prec@top3: 0.8095 recall@top5: 0.9405 prec@top5: 0.5714 loss_action_cls: 0.0787 loss: 0.0787 2022/08/11 11:50:46 - mmengine - INFO - Epoch(train) [2][3480/3842] lr: 7.1820e-02 eta: 4:37:08 time: 0.4869 data_time: 0.0135 memory: 10484 grad_norm: 0.2232 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8095 recall@top3: 0.8452 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0716 loss: 0.0716 2022/08/11 11:50:57 - mmengine - INFO - Epoch(train) [2][3500/3842] lr: 7.1995e-02 eta: 4:36:57 time: 0.5287 data_time: 0.0199 memory: 10484 grad_norm: 0.2181 recall@thr=0.5: 0.7479 prec@thr=0.5: 0.8542 recall@top3: 0.8458 prec@top3: 0.7917 recall@top5: 0.9438 prec@top5: 0.5500 loss_action_cls: 0.0800 loss: 0.0800 2022/08/11 11:51:07 - mmengine - INFO - Epoch(train) [2][3520/3842] lr: 7.2171e-02 eta: 4:36:44 time: 0.5123 data_time: 0.0170 memory: 10484 grad_norm: 0.2004 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.7308 recall@top3: 0.6603 prec@top3: 0.6410 recall@top5: 0.9423 prec@top5: 0.5385 loss_action_cls: 0.0707 loss: 0.0707 2022/08/11 11:51:17 - mmengine - INFO - Epoch(train) [2][3540/3842] lr: 7.2347e-02 eta: 4:36:33 time: 0.5220 data_time: 0.0169 memory: 10484 grad_norm: 0.2210 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7604 recall@top3: 0.7083 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.5750 loss_action_cls: 0.0680 loss: 0.0680 2022/08/11 11:51:28 - mmengine - INFO - Epoch(train) [2][3560/3842] lr: 7.2522e-02 eta: 4:36:20 time: 0.5139 data_time: 0.0187 memory: 10484 grad_norm: 0.2137 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6722 recall@top3: 0.7222 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4933 loss_action_cls: 0.0664 loss: 0.0664 2022/08/11 11:51:37 - mmengine - INFO - Epoch(train) [2][3580/3842] lr: 7.2698e-02 eta: 4:36:06 time: 0.4973 data_time: 0.0168 memory: 10484 grad_norm: 0.2068 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7544 recall@top3: 0.6579 prec@top3: 0.7018 recall@top5: 0.9035 prec@top5: 0.5789 loss_action_cls: 0.0744 loss: 0.0744 2022/08/11 11:51:48 - mmengine - INFO - Epoch(train) [2][3600/3842] lr: 7.2874e-02 eta: 4:35:54 time: 0.5135 data_time: 0.0157 memory: 10484 grad_norm: 0.2142 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7895 recall@top3: 0.7895 prec@top3: 0.7719 recall@top5: 0.9386 prec@top5: 0.5474 loss_action_cls: 0.0739 loss: 0.0739 2022/08/11 11:51:58 - mmengine - INFO - Epoch(train) [2][3620/3842] lr: 7.3050e-02 eta: 4:35:40 time: 0.4896 data_time: 0.0184 memory: 10484 grad_norm: 0.2362 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.7778 recall@top3: 0.6667 prec@top3: 0.6667 recall@top5: 0.8611 prec@top5: 0.5167 loss_action_cls: 0.0815 loss: 0.0815 2022/08/11 11:52:09 - mmengine - INFO - Epoch(train) [2][3640/3842] lr: 7.3225e-02 eta: 4:35:32 time: 0.5723 data_time: 0.0148 memory: 10484 grad_norm: 0.2046 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5490 recall@top3: 0.5490 prec@top3: 0.3333 recall@top5: 0.8039 prec@top5: 0.2824 loss_action_cls: 0.0709 loss: 0.0709 2022/08/11 11:52:20 - mmengine - INFO - Epoch(train) [2][3660/3842] lr: 7.3401e-02 eta: 4:35:25 time: 0.5767 data_time: 0.0189 memory: 10484 grad_norm: 0.2128 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.7500 recall@top3: 0.8214 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4429 loss_action_cls: 0.0803 loss: 0.0803 2022/08/11 11:52:30 - mmengine - INFO - Epoch(train) [2][3680/3842] lr: 7.3577e-02 eta: 4:35:11 time: 0.4928 data_time: 0.0159 memory: 10484 grad_norm: 0.2140 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.5513 recall@top3: 0.6538 prec@top3: 0.4615 recall@top5: 0.7308 prec@top5: 0.3231 loss_action_cls: 0.0755 loss: 0.0755 2022/08/11 11:52:41 - mmengine - INFO - Epoch(train) [2][3700/3842] lr: 7.3752e-02 eta: 4:34:59 time: 0.5203 data_time: 0.0159 memory: 10484 grad_norm: 0.2146 recall@thr=0.5: 0.6696 prec@thr=0.5: 0.7608 recall@top3: 0.6490 prec@top3: 0.6863 recall@top5: 0.8980 prec@top5: 0.5765 loss_action_cls: 0.0737 loss: 0.0737 2022/08/11 11:52:51 - mmengine - INFO - Epoch(train) [2][3720/3842] lr: 7.3928e-02 eta: 4:34:48 time: 0.5341 data_time: 0.0206 memory: 10484 grad_norm: 0.2108 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.8939 recall@top3: 0.9091 prec@top3: 0.4848 recall@top5: 1.0000 prec@top5: 0.3273 loss_action_cls: 0.0633 loss: 0.0633 2022/08/11 11:53:01 - mmengine - INFO - Epoch(train) [2][3740/3842] lr: 7.4104e-02 eta: 4:34:34 time: 0.4916 data_time: 0.0180 memory: 10484 grad_norm: 0.1949 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.9667 recall@top3: 0.8778 prec@top3: 0.6444 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0670 loss: 0.0670 2022/08/11 11:53:11 - mmengine - INFO - Epoch(train) [2][3760/3842] lr: 7.4280e-02 eta: 4:34:20 time: 0.4907 data_time: 0.0174 memory: 10484 grad_norm: 0.2154 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.8452 recall@top3: 0.8869 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0664 loss: 0.0664 2022/08/11 11:53:21 - mmengine - INFO - Epoch(train) [2][3780/3842] lr: 7.4455e-02 eta: 4:34:05 time: 0.4902 data_time: 0.0171 memory: 10484 grad_norm: 0.2140 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5256 recall@top3: 0.6410 prec@top3: 0.4103 recall@top5: 0.8974 prec@top5: 0.3231 loss_action_cls: 0.0714 loss: 0.0714 2022/08/11 11:53:31 - mmengine - INFO - Epoch(train) [2][3800/3842] lr: 7.4631e-02 eta: 4:33:53 time: 0.5111 data_time: 0.0149 memory: 10484 grad_norm: 0.2145 recall@thr=0.5: 0.7913 prec@thr=0.5: 0.7826 recall@top3: 0.8203 prec@top3: 0.7536 recall@top5: 0.8667 prec@top5: 0.4870 loss_action_cls: 0.0760 loss: 0.0760 2022/08/11 11:53:41 - mmengine - INFO - Epoch(train) [2][3820/3842] lr: 7.4807e-02 eta: 4:33:39 time: 0.4897 data_time: 0.0172 memory: 10484 grad_norm: 0.1969 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.7381 recall@top3: 0.7512 prec@top3: 0.6905 recall@top5: 0.9643 prec@top5: 0.5571 loss_action_cls: 0.0729 loss: 0.0729 2022/08/11 11:53:51 - mmengine - INFO - Epoch(train) [2][3840/3842] lr: 7.4982e-02 eta: 4:33:26 time: 0.5090 data_time: 0.0151 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9083 recall@top3: 0.7833 prec@top3: 0.7667 recall@top5: 0.9167 prec@top5: 0.5400 loss_action_cls: 0.0747 loss: 0.0747 2022/08/11 11:53:52 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 11:53:52 - mmengine - INFO - Epoch(train) [2][3842/3842] lr: 7.5000e-02 eta: 4:33:26 time: 0.4982 data_time: 0.0167 memory: 10484 grad_norm: 0.2034 recall@thr=0.5: 0.6241 prec@thr=0.5: 0.5093 recall@top3: 0.6241 prec@top3: 0.5185 recall@top5: 0.7111 prec@top5: 0.3778 loss_action_cls: 0.0778 loss: 0.0778 2022/08/11 11:53:52 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/11 11:53:59 - mmengine - INFO - Epoch(val) [2][20/6282] eta: 0:06:50 time: 0.0655 data_time: 0.0168 memory: 703 2022/08/11 11:54:00 - mmengine - INFO - Epoch(val) [2][40/6282] eta: 0:05:08 time: 0.0495 data_time: 0.0040 memory: 703 2022/08/11 11:54:01 - mmengine - INFO - Epoch(val) [2][60/6282] eta: 0:05:17 time: 0.0510 data_time: 0.0037 memory: 703 2022/08/11 11:54:02 - mmengine - INFO - Epoch(val) [2][80/6282] eta: 0:05:28 time: 0.0530 data_time: 0.0047 memory: 703 2022/08/11 11:54:03 - mmengine - INFO - Epoch(val) [2][100/6282] eta: 0:05:13 time: 0.0507 data_time: 0.0036 memory: 703 2022/08/11 11:54:04 - mmengine - INFO - Epoch(val) [2][120/6282] eta: 0:06:14 time: 0.0607 data_time: 0.0043 memory: 809 2022/08/11 11:54:06 - mmengine - INFO - Epoch(val) [2][140/6282] eta: 0:06:37 time: 0.0647 data_time: 0.0055 memory: 809 2022/08/11 11:54:07 - mmengine - INFO - Epoch(val) [2][160/6282] eta: 0:09:00 time: 0.0884 data_time: 0.0067 memory: 809 2022/08/11 11:54:09 - mmengine - INFO - Epoch(val) [2][180/6282] eta: 0:07:08 time: 0.0702 data_time: 0.0063 memory: 809 2022/08/11 11:54:10 - mmengine - INFO - Epoch(val) [2][200/6282] eta: 0:07:08 time: 0.0704 data_time: 0.0063 memory: 809 2022/08/11 11:54:11 - mmengine - INFO - Epoch(val) [2][220/6282] eta: 0:05:33 time: 0.0550 data_time: 0.0046 memory: 738 2022/08/11 11:54:12 - mmengine - INFO - Epoch(val) [2][240/6282] eta: 0:06:01 time: 0.0598 data_time: 0.0048 memory: 738 2022/08/11 11:54:14 - mmengine - INFO - Epoch(val) [2][260/6282] eta: 0:05:44 time: 0.0572 data_time: 0.0054 memory: 738 2022/08/11 11:54:15 - mmengine - INFO - Epoch(val) [2][280/6282] eta: 0:05:44 time: 0.0574 data_time: 0.0051 memory: 738 2022/08/11 11:54:16 - mmengine - INFO - Epoch(val) [2][300/6282] eta: 0:06:46 time: 0.0679 data_time: 0.0107 memory: 809 2022/08/11 11:54:18 - mmengine - INFO - Epoch(val) [2][320/6282] eta: 0:08:55 time: 0.0899 data_time: 0.0250 memory: 809 2022/08/11 11:54:20 - mmengine - INFO - Epoch(val) [2][340/6282] eta: 0:08:38 time: 0.0873 data_time: 0.0232 memory: 809 2022/08/11 11:54:21 - mmengine - INFO - Epoch(val) [2][360/6282] eta: 0:08:09 time: 0.0827 data_time: 0.0215 memory: 809 2022/08/11 11:54:23 - mmengine - INFO - Epoch(val) [2][380/6282] eta: 0:08:07 time: 0.0825 data_time: 0.0194 memory: 809 2022/08/11 11:54:24 - mmengine - INFO - Epoch(val) [2][400/6282] eta: 0:06:39 time: 0.0680 data_time: 0.0103 memory: 809 2022/08/11 11:54:25 - mmengine - INFO - Epoch(val) [2][420/6282] eta: 0:05:30 time: 0.0564 data_time: 0.0044 memory: 743 2022/08/11 11:54:27 - mmengine - INFO - Epoch(val) [2][440/6282] eta: 0:07:23 time: 0.0759 data_time: 0.0050 memory: 743 2022/08/11 11:54:28 - mmengine - INFO - Epoch(val) [2][460/6282] eta: 0:05:29 time: 0.0566 data_time: 0.0065 memory: 743 2022/08/11 11:54:29 - mmengine - INFO - Epoch(val) [2][480/6282] eta: 0:05:17 time: 0.0547 data_time: 0.0054 memory: 743 2022/08/11 11:54:30 - mmengine - INFO - Epoch(val) [2][500/6282] eta: 0:05:25 time: 0.0563 data_time: 0.0046 memory: 743 2022/08/11 11:54:31 - mmengine - INFO - Epoch(val) [2][520/6282] eta: 0:04:41 time: 0.0489 data_time: 0.0041 memory: 738 2022/08/11 11:54:32 - mmengine - INFO - Epoch(val) [2][540/6282] eta: 0:04:49 time: 0.0504 data_time: 0.0041 memory: 738 2022/08/11 11:54:33 - mmengine - INFO - Epoch(val) [2][560/6282] eta: 0:04:51 time: 0.0509 data_time: 0.0051 memory: 738 2022/08/11 11:54:34 - mmengine - INFO - Epoch(val) [2][580/6282] eta: 0:04:42 time: 0.0495 data_time: 0.0042 memory: 738 2022/08/11 11:54:35 - mmengine - INFO - Epoch(val) [2][600/6282] eta: 0:04:56 time: 0.0521 data_time: 0.0049 memory: 738 2022/08/11 11:54:36 - mmengine - INFO - Epoch(val) [2][620/6282] eta: 0:05:13 time: 0.0553 data_time: 0.0045 memory: 738 2022/08/11 11:54:38 - mmengine - INFO - Epoch(val) [2][640/6282] eta: 0:07:28 time: 0.0795 data_time: 0.0049 memory: 733 2022/08/11 11:54:39 - mmengine - INFO - Epoch(val) [2][660/6282] eta: 0:04:53 time: 0.0522 data_time: 0.0049 memory: 733 2022/08/11 11:54:40 - mmengine - INFO - Epoch(val) [2][680/6282] eta: 0:04:58 time: 0.0532 data_time: 0.0042 memory: 733 2022/08/11 11:54:41 - mmengine - INFO - Epoch(val) [2][700/6282] eta: 0:04:52 time: 0.0524 data_time: 0.0047 memory: 733 2022/08/11 11:54:44 - mmengine - INFO - Epoch(val) [2][720/6282] eta: 0:12:40 time: 0.1367 data_time: 0.0805 memory: 809 2022/08/11 11:54:48 - mmengine - INFO - Epoch(val) [2][740/6282] eta: 0:17:55 time: 0.1940 data_time: 0.1331 memory: 809 2022/08/11 11:54:51 - mmengine - INFO - Epoch(val) [2][760/6282] eta: 0:13:53 time: 0.1509 data_time: 0.0917 memory: 809 2022/08/11 11:54:54 - mmengine - INFO - Epoch(val) [2][780/6282] eta: 0:16:26 time: 0.1793 data_time: 0.1210 memory: 809 2022/08/11 11:54:57 - mmengine - INFO - Epoch(val) [2][800/6282] eta: 0:11:04 time: 0.1213 data_time: 0.0329 memory: 809 2022/08/11 11:54:58 - mmengine - INFO - Epoch(val) [2][820/6282] eta: 0:07:13 time: 0.0793 data_time: 0.0236 memory: 809 2022/08/11 11:55:00 - mmengine - INFO - Epoch(val) [2][840/6282] eta: 0:05:05 time: 0.0561 data_time: 0.0045 memory: 738 2022/08/11 11:55:01 - mmengine - INFO - Epoch(val) [2][860/6282] eta: 0:04:54 time: 0.0543 data_time: 0.0052 memory: 738 2022/08/11 11:55:02 - mmengine - INFO - Epoch(val) [2][880/6282] eta: 0:05:01 time: 0.0558 data_time: 0.0051 memory: 738 2022/08/11 11:55:03 - mmengine - INFO - Epoch(val) [2][900/6282] eta: 0:05:03 time: 0.0565 data_time: 0.0042 memory: 738 2022/08/11 11:55:04 - mmengine - INFO - Epoch(val) [2][920/6282] eta: 0:05:03 time: 0.0567 data_time: 0.0049 memory: 738 2022/08/11 11:55:05 - mmengine - INFO - Epoch(val) [2][940/6282] eta: 0:04:46 time: 0.0537 data_time: 0.0047 memory: 703 2022/08/11 11:55:06 - mmengine - INFO - Epoch(val) [2][960/6282] eta: 0:04:52 time: 0.0549 data_time: 0.0064 memory: 703 2022/08/11 11:55:07 - mmengine - INFO - Epoch(val) [2][980/6282] eta: 0:04:45 time: 0.0538 data_time: 0.0047 memory: 703 2022/08/11 11:55:08 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:04:55 time: 0.0560 data_time: 0.0047 memory: 703 2022/08/11 11:55:10 - mmengine - INFO - Epoch(val) [2][1020/6282] eta: 0:04:45 time: 0.0543 data_time: 0.0056 memory: 738 2022/08/11 11:55:11 - mmengine - INFO - Epoch(val) [2][1040/6282] eta: 0:04:51 time: 0.0556 data_time: 0.0050 memory: 738 2022/08/11 11:55:12 - mmengine - INFO - Epoch(val) [2][1060/6282] eta: 0:04:51 time: 0.0559 data_time: 0.0050 memory: 738 2022/08/11 11:55:13 - mmengine - INFO - Epoch(val) [2][1080/6282] eta: 0:04:52 time: 0.0562 data_time: 0.0054 memory: 738 2022/08/11 11:55:14 - mmengine - INFO - Epoch(val) [2][1100/6282] eta: 0:04:51 time: 0.0563 data_time: 0.0063 memory: 738 2022/08/11 11:55:15 - mmengine - INFO - Epoch(val) [2][1120/6282] eta: 0:04:43 time: 0.0549 data_time: 0.0051 memory: 738 2022/08/11 11:55:17 - mmengine - INFO - Epoch(val) [2][1140/6282] eta: 0:07:01 time: 0.0819 data_time: 0.0041 memory: 738 2022/08/11 11:55:18 - mmengine - INFO - Epoch(val) [2][1160/6282] eta: 0:05:08 time: 0.0602 data_time: 0.0062 memory: 738 2022/08/11 11:55:19 - mmengine - INFO - Epoch(val) [2][1180/6282] eta: 0:04:30 time: 0.0530 data_time: 0.0047 memory: 738 2022/08/11 11:55:20 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:04:38 time: 0.0548 data_time: 0.0036 memory: 738 2022/08/11 11:55:21 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:04:07 time: 0.0488 data_time: 0.0037 memory: 738 2022/08/11 11:55:26 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:22:41 time: 0.2701 data_time: 0.2145 memory: 809 2022/08/11 11:55:31 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:17:22 time: 0.2076 data_time: 0.1539 memory: 809 2022/08/11 11:55:32 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:07:02 time: 0.0845 data_time: 0.0325 memory: 809 2022/08/11 11:55:36 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:13:10 time: 0.1587 data_time: 0.1035 memory: 809 2022/08/11 11:55:39 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:13:48 time: 0.1670 data_time: 0.1129 memory: 809 2022/08/11 11:55:45 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:26:43 time: 0.3244 data_time: 0.2646 memory: 809 2022/08/11 11:55:48 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:12:13 time: 0.1490 data_time: 0.0917 memory: 809 2022/08/11 11:55:52 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:13:23 time: 0.1638 data_time: 0.1053 memory: 809 2022/08/11 11:55:54 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:10:55 time: 0.1343 data_time: 0.0784 memory: 809 2022/08/11 11:55:58 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:14:15 time: 0.1760 data_time: 0.1231 memory: 809 2022/08/11 11:56:00 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:09:11 time: 0.1138 data_time: 0.0595 memory: 809 2022/08/11 11:56:01 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:04:56 time: 0.0615 data_time: 0.0042 memory: 809 2022/08/11 11:56:03 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:04:55 time: 0.0616 data_time: 0.0046 memory: 809 2022/08/11 11:56:04 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:05:00 time: 0.0629 data_time: 0.0045 memory: 809 2022/08/11 11:56:05 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:04:59 time: 0.0629 data_time: 0.0061 memory: 911 2022/08/11 11:56:07 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:06:06 time: 0.0774 data_time: 0.0051 memory: 911 2022/08/11 11:56:09 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:07:55 time: 0.1007 data_time: 0.0062 memory: 911 2022/08/11 11:56:10 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:06:47 time: 0.0866 data_time: 0.0193 memory: 911 2022/08/11 11:56:13 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:09:38 time: 0.1235 data_time: 0.0545 memory: 911 2022/08/11 11:56:14 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:05:35 time: 0.0720 data_time: 0.0047 memory: 911 2022/08/11 11:56:15 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:04:31 time: 0.0585 data_time: 0.0038 memory: 809 2022/08/11 11:56:17 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:04:36 time: 0.0598 data_time: 0.0039 memory: 809 2022/08/11 11:56:18 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:04:41 time: 0.0611 data_time: 0.0041 memory: 809 2022/08/11 11:56:20 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:06:35 time: 0.0863 data_time: 0.0042 memory: 809 2022/08/11 11:56:21 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:04:31 time: 0.0594 data_time: 0.0039 memory: 809 2022/08/11 11:56:22 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:04:35 time: 0.0607 data_time: 0.0045 memory: 809 2022/08/11 11:56:23 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:04:36 time: 0.0612 data_time: 0.0049 memory: 809 2022/08/11 11:56:25 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:04:44 time: 0.0631 data_time: 0.0047 memory: 809 2022/08/11 11:56:26 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:04:42 time: 0.0630 data_time: 0.0050 memory: 809 2022/08/11 11:56:27 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:04:41 time: 0.0630 data_time: 0.0049 memory: 809 2022/08/11 11:56:29 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:06:06 time: 0.0824 data_time: 0.0202 memory: 809 2022/08/11 11:56:32 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:12:31 time: 0.1700 data_time: 0.1085 memory: 809 2022/08/11 11:56:35 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:11:12 time: 0.1528 data_time: 0.0945 memory: 809 2022/08/11 11:56:39 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:12:29 time: 0.1710 data_time: 0.1078 memory: 809 2022/08/11 11:56:42 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:10:42 time: 0.1472 data_time: 0.0852 memory: 809 2022/08/11 11:56:44 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:09:25 time: 0.1303 data_time: 0.0717 memory: 809 2022/08/11 11:56:45 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:04:02 time: 0.0561 data_time: 0.0048 memory: 743 2022/08/11 11:56:46 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:03:52 time: 0.0541 data_time: 0.0058 memory: 743 2022/08/11 11:56:47 - mmengine - INFO - Epoch(val) [2][2000/6282] eta: 0:04:00 time: 0.0561 data_time: 0.0063 memory: 743 2022/08/11 11:56:49 - mmengine - INFO - Epoch(val) [2][2020/6282] eta: 0:03:53 time: 0.0549 data_time: 0.0049 memory: 743 2022/08/11 11:56:50 - mmengine - INFO - Epoch(val) [2][2040/6282] eta: 0:03:55 time: 0.0555 data_time: 0.0050 memory: 743 2022/08/11 11:56:51 - mmengine - INFO - Epoch(val) [2][2060/6282] eta: 0:03:56 time: 0.0561 data_time: 0.0047 memory: 743 2022/08/11 11:56:52 - mmengine - INFO - Epoch(val) [2][2080/6282] eta: 0:03:51 time: 0.0551 data_time: 0.0048 memory: 743 2022/08/11 11:56:53 - mmengine - INFO - Epoch(val) [2][2100/6282] eta: 0:03:49 time: 0.0549 data_time: 0.0044 memory: 743 2022/08/11 11:56:54 - mmengine - INFO - Epoch(val) [2][2120/6282] eta: 0:03:54 time: 0.0564 data_time: 0.0052 memory: 743 2022/08/11 11:56:55 - mmengine - INFO - Epoch(val) [2][2140/6282] eta: 0:03:49 time: 0.0554 data_time: 0.0066 memory: 743 2022/08/11 11:56:57 - mmengine - INFO - Epoch(val) [2][2160/6282] eta: 0:04:51 time: 0.0708 data_time: 0.0059 memory: 738 2022/08/11 11:56:58 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:03:43 time: 0.0545 data_time: 0.0057 memory: 738 2022/08/11 11:56:59 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:03:47 time: 0.0558 data_time: 0.0055 memory: 738 2022/08/11 11:57:00 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:03:54 time: 0.0578 data_time: 0.0050 memory: 738 2022/08/11 11:57:01 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:03:46 time: 0.0561 data_time: 0.0046 memory: 738 2022/08/11 11:57:02 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:03:51 time: 0.0575 data_time: 0.0046 memory: 743 2022/08/11 11:57:03 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:03:42 time: 0.0555 data_time: 0.0054 memory: 743 2022/08/11 11:57:05 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:03:38 time: 0.0548 data_time: 0.0048 memory: 743 2022/08/11 11:57:06 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:03:41 time: 0.0559 data_time: 0.0043 memory: 743 2022/08/11 11:57:07 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:03:45 time: 0.0572 data_time: 0.0051 memory: 743 2022/08/11 11:57:08 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:04:50 time: 0.0740 data_time: 0.0047 memory: 738 2022/08/11 11:57:09 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:03:44 time: 0.0575 data_time: 0.0051 memory: 738 2022/08/11 11:57:11 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:03:50 time: 0.0595 data_time: 0.0059 memory: 738 2022/08/11 11:57:12 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:03:38 time: 0.0566 data_time: 0.0039 memory: 738 2022/08/11 11:57:14 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:06:08 time: 0.0959 data_time: 0.0047 memory: 738 2022/08/11 11:57:15 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:05:17 time: 0.0832 data_time: 0.0209 memory: 809 2022/08/11 11:57:17 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:05:52 time: 0.0927 data_time: 0.0285 memory: 809 2022/08/11 11:57:19 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:05:48 time: 0.0922 data_time: 0.0302 memory: 809 2022/08/11 11:57:21 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:05:20 time: 0.0852 data_time: 0.0281 memory: 809 2022/08/11 11:57:23 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:08:09 time: 0.1307 data_time: 0.0718 memory: 809 2022/08/11 11:57:27 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:10:29 time: 0.1692 data_time: 0.0851 memory: 809 2022/08/11 11:57:30 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:10:00 time: 0.1622 data_time: 0.1023 memory: 809 2022/08/11 11:57:33 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:09:31 time: 0.1553 data_time: 0.0976 memory: 809 2022/08/11 11:57:37 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:10:55 time: 0.1790 data_time: 0.1182 memory: 809 2022/08/11 11:57:40 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:09:53 time: 0.1630 data_time: 0.1032 memory: 809 2022/08/11 11:57:42 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:04:53 time: 0.0811 data_time: 0.0050 memory: 902 2022/08/11 11:57:43 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:04:39 time: 0.0777 data_time: 0.0065 memory: 902 2022/08/11 11:57:45 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:05:00 time: 0.0840 data_time: 0.0092 memory: 902 2022/08/11 11:57:47 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:06:05 time: 0.1026 data_time: 0.0077 memory: 902 2022/08/11 11:57:48 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:04:33 time: 0.0772 data_time: 0.0074 memory: 902 2022/08/11 11:57:50 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:03:27 time: 0.0588 data_time: 0.0061 memory: 743 2022/08/11 11:57:51 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:03:22 time: 0.0578 data_time: 0.0067 memory: 743 2022/08/11 11:57:52 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:03:14 time: 0.0557 data_time: 0.0061 memory: 743 2022/08/11 11:57:53 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:03:21 time: 0.0581 data_time: 0.0057 memory: 743 2022/08/11 11:57:54 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:03:20 time: 0.0581 data_time: 0.0051 memory: 743 2022/08/11 11:57:56 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:03:48 time: 0.0667 data_time: 0.0054 memory: 809 2022/08/11 11:57:57 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:04:52 time: 0.0861 data_time: 0.0215 memory: 809 2022/08/11 11:57:59 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:04:42 time: 0.0834 data_time: 0.0216 memory: 809 2022/08/11 11:58:00 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:03:24 time: 0.0608 data_time: 0.0040 memory: 809 2022/08/11 11:58:01 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:03:08 time: 0.0563 data_time: 0.0045 memory: 773 2022/08/11 11:58:02 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:03:02 time: 0.0549 data_time: 0.0042 memory: 773 2022/08/11 11:58:03 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:02:53 time: 0.0524 data_time: 0.0043 memory: 773 2022/08/11 11:58:04 - mmengine - INFO - Epoch(val) [2][3000/6282] eta: 0:02:55 time: 0.0534 data_time: 0.0038 memory: 773 2022/08/11 11:58:06 - mmengine - INFO - Epoch(val) [2][3020/6282] eta: 0:03:16 time: 0.0602 data_time: 0.0045 memory: 809 2022/08/11 11:58:07 - mmengine - INFO - Epoch(val) [2][3040/6282] eta: 0:04:43 time: 0.0874 data_time: 0.0060 memory: 809 2022/08/11 11:58:09 - mmengine - INFO - Epoch(val) [2][3060/6282] eta: 0:03:23 time: 0.0632 data_time: 0.0056 memory: 809 2022/08/11 11:58:10 - mmengine - INFO - Epoch(val) [2][3080/6282] eta: 0:03:29 time: 0.0653 data_time: 0.0055 memory: 809 2022/08/11 11:58:11 - mmengine - INFO - Epoch(val) [2][3100/6282] eta: 0:03:16 time: 0.0616 data_time: 0.0069 memory: 809 2022/08/11 11:58:12 - mmengine - INFO - Epoch(val) [2][3120/6282] eta: 0:02:57 time: 0.0562 data_time: 0.0047 memory: 743 2022/08/11 11:58:14 - mmengine - INFO - Epoch(val) [2][3140/6282] eta: 0:02:59 time: 0.0571 data_time: 0.0062 memory: 743 2022/08/11 11:58:15 - mmengine - INFO - Epoch(val) [2][3160/6282] eta: 0:03:07 time: 0.0602 data_time: 0.0064 memory: 743 2022/08/11 11:58:16 - mmengine - INFO - Epoch(val) [2][3180/6282] eta: 0:02:57 time: 0.0573 data_time: 0.0052 memory: 743 2022/08/11 11:58:17 - mmengine - INFO - Epoch(val) [2][3200/6282] eta: 0:03:33 time: 0.0693 data_time: 0.0087 memory: 809 2022/08/11 11:58:19 - mmengine - INFO - Epoch(val) [2][3220/6282] eta: 0:04:07 time: 0.0808 data_time: 0.0157 memory: 809 2022/08/11 11:58:21 - mmengine - INFO - Epoch(val) [2][3240/6282] eta: 0:04:25 time: 0.0874 data_time: 0.0255 memory: 809 2022/08/11 11:58:22 - mmengine - INFO - Epoch(val) [2][3260/6282] eta: 0:03:35 time: 0.0712 data_time: 0.0106 memory: 809 2022/08/11 11:58:24 - mmengine - INFO - Epoch(val) [2][3280/6282] eta: 0:03:56 time: 0.0787 data_time: 0.0144 memory: 809 2022/08/11 11:58:25 - mmengine - INFO - Epoch(val) [2][3300/6282] eta: 0:03:22 time: 0.0679 data_time: 0.0058 memory: 809 2022/08/11 11:58:27 - mmengine - INFO - Epoch(val) [2][3320/6282] eta: 0:04:28 time: 0.0905 data_time: 0.0068 memory: 809 2022/08/11 11:58:28 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:03:02 time: 0.0621 data_time: 0.0051 memory: 809 2022/08/11 11:58:29 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:03:08 time: 0.0644 data_time: 0.0045 memory: 809 2022/08/11 11:58:31 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:02:54 time: 0.0602 data_time: 0.0042 memory: 809 2022/08/11 11:58:32 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:02:23 time: 0.0497 data_time: 0.0055 memory: 738 2022/08/11 11:58:33 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:02:25 time: 0.0510 data_time: 0.0033 memory: 738 2022/08/11 11:58:34 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:02:27 time: 0.0520 data_time: 0.0040 memory: 738 2022/08/11 11:58:35 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:02:25 time: 0.0515 data_time: 0.0043 memory: 738 2022/08/11 11:58:36 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:02:29 time: 0.0535 data_time: 0.0050 memory: 738 2022/08/11 11:58:37 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:02:27 time: 0.0530 data_time: 0.0049 memory: 738 2022/08/11 11:58:38 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:03:27 time: 0.0750 data_time: 0.0042 memory: 738 2022/08/11 11:58:39 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:02:24 time: 0.0529 data_time: 0.0051 memory: 738 2022/08/11 11:58:40 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:02:29 time: 0.0550 data_time: 0.0046 memory: 738 2022/08/11 11:58:42 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:02:41 time: 0.0599 data_time: 0.0056 memory: 789 2022/08/11 11:58:43 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:02:44 time: 0.0613 data_time: 0.0052 memory: 789 2022/08/11 11:58:44 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:02:38 time: 0.0596 data_time: 0.0059 memory: 789 2022/08/11 11:58:45 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:02:42 time: 0.0616 data_time: 0.0060 memory: 789 2022/08/11 11:58:47 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:02:42 time: 0.0618 data_time: 0.0069 memory: 789 2022/08/11 11:58:48 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:02:56 time: 0.0677 data_time: 0.0064 memory: 809 2022/08/11 11:58:49 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:03:21 time: 0.0782 data_time: 0.0160 memory: 809 2022/08/11 11:58:52 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:04:34 time: 0.1073 data_time: 0.0436 memory: 809 2022/08/11 11:58:53 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:03:47 time: 0.0895 data_time: 0.0246 memory: 809 2022/08/11 11:58:55 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:03:49 time: 0.0910 data_time: 0.0259 memory: 809 2022/08/11 11:58:57 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:04:12 time: 0.1009 data_time: 0.0127 memory: 809 2022/08/11 11:58:59 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:03:39 time: 0.0884 data_time: 0.0232 memory: 809 2022/08/11 11:59:01 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:03:23 time: 0.0825 data_time: 0.0190 memory: 809 2022/08/11 11:59:02 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:03:37 time: 0.0890 data_time: 0.0267 memory: 809 2022/08/11 11:59:04 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:03:25 time: 0.0847 data_time: 0.0225 memory: 809 2022/08/11 11:59:06 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:03:48 time: 0.0953 data_time: 0.0340 memory: 809 2022/08/11 11:59:08 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:03:01 time: 0.0761 data_time: 0.0125 memory: 809 2022/08/11 11:59:09 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:03:34 time: 0.0910 data_time: 0.0302 memory: 809 2022/08/11 11:59:11 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:03:03 time: 0.0785 data_time: 0.0158 memory: 809 2022/08/11 11:59:12 - mmengine - INFO - Epoch(val) [2][3960/6282] eta: 0:02:50 time: 0.0733 data_time: 0.0144 memory: 809 2022/08/11 11:59:14 - mmengine - INFO - Epoch(val) [2][3980/6282] eta: 0:02:21 time: 0.0614 data_time: 0.0040 memory: 809 2022/08/11 11:59:15 - mmengine - INFO - Epoch(val) [2][4000/6282] eta: 0:02:17 time: 0.0602 data_time: 0.0055 memory: 809 2022/08/11 11:59:17 - mmengine - INFO - Epoch(val) [2][4020/6282] eta: 0:03:03 time: 0.0810 data_time: 0.0037 memory: 809 2022/08/11 11:59:18 - mmengine - INFO - Epoch(val) [2][4040/6282] eta: 0:02:18 time: 0.0616 data_time: 0.0044 memory: 902 2022/08/11 11:59:19 - mmengine - INFO - Epoch(val) [2][4060/6282] eta: 0:02:41 time: 0.0726 data_time: 0.0055 memory: 902 2022/08/11 11:59:21 - mmengine - INFO - Epoch(val) [2][4080/6282] eta: 0:02:36 time: 0.0710 data_time: 0.0053 memory: 902 2022/08/11 11:59:22 - mmengine - INFO - Epoch(val) [2][4100/6282] eta: 0:02:38 time: 0.0725 data_time: 0.0048 memory: 902 2022/08/11 11:59:24 - mmengine - INFO - Epoch(val) [2][4120/6282] eta: 0:02:42 time: 0.0750 data_time: 0.0052 memory: 902 2022/08/11 11:59:25 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:02:15 time: 0.0634 data_time: 0.0053 memory: 902 2022/08/11 11:59:26 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:01:43 time: 0.0490 data_time: 0.0043 memory: 738 2022/08/11 11:59:27 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:02:37 time: 0.0749 data_time: 0.0037 memory: 738 2022/08/11 11:59:28 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:01:51 time: 0.0535 data_time: 0.0052 memory: 738 2022/08/11 11:59:29 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:01:50 time: 0.0537 data_time: 0.0051 memory: 738 2022/08/11 11:59:31 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:01:54 time: 0.0561 data_time: 0.0042 memory: 738 2022/08/11 11:59:32 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:01:48 time: 0.0534 data_time: 0.0049 memory: 736 2022/08/11 11:59:33 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:01:47 time: 0.0538 data_time: 0.0051 memory: 736 2022/08/11 11:59:34 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:01:44 time: 0.0526 data_time: 0.0051 memory: 736 2022/08/11 11:59:35 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:01:41 time: 0.0515 data_time: 0.0042 memory: 736 2022/08/11 11:59:36 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:01:43 time: 0.0532 data_time: 0.0047 memory: 736 2022/08/11 11:59:37 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:02:07 time: 0.0664 data_time: 0.0052 memory: 809 2022/08/11 11:59:38 - mmengine - INFO - Epoch(val) [2][4380/6282] eta: 0:01:57 time: 0.0616 data_time: 0.0059 memory: 809 2022/08/11 11:59:40 - mmengine - INFO - Epoch(val) [2][4400/6282] eta: 0:01:55 time: 0.0613 data_time: 0.0054 memory: 809 2022/08/11 11:59:41 - mmengine - INFO - Epoch(val) [2][4420/6282] eta: 0:01:52 time: 0.0606 data_time: 0.0047 memory: 809 2022/08/11 11:59:42 - mmengine - INFO - Epoch(val) [2][4440/6282] eta: 0:01:57 time: 0.0637 data_time: 0.0053 memory: 816 2022/08/11 11:59:44 - mmengine - INFO - Epoch(val) [2][4460/6282] eta: 0:02:00 time: 0.0659 data_time: 0.0053 memory: 816 2022/08/11 11:59:45 - mmengine - INFO - Epoch(val) [2][4480/6282] eta: 0:01:59 time: 0.0661 data_time: 0.0048 memory: 816 2022/08/11 11:59:46 - mmengine - INFO - Epoch(val) [2][4500/6282] eta: 0:01:59 time: 0.0670 data_time: 0.0056 memory: 816 2022/08/11 11:59:48 - mmengine - INFO - Epoch(val) [2][4520/6282] eta: 0:02:28 time: 0.0844 data_time: 0.0044 memory: 816 2022/08/11 11:59:49 - mmengine - INFO - Epoch(val) [2][4540/6282] eta: 0:01:32 time: 0.0530 data_time: 0.0041 memory: 743 2022/08/11 11:59:50 - mmengine - INFO - Epoch(val) [2][4560/6282] eta: 0:01:37 time: 0.0566 data_time: 0.0050 memory: 743 2022/08/11 11:59:51 - mmengine - INFO - Epoch(val) [2][4580/6282] eta: 0:01:30 time: 0.0532 data_time: 0.0042 memory: 743 2022/08/11 11:59:52 - mmengine - INFO - Epoch(val) [2][4600/6282] eta: 0:01:28 time: 0.0525 data_time: 0.0057 memory: 743 2022/08/11 11:59:53 - mmengine - INFO - Epoch(val) [2][4620/6282] eta: 0:01:30 time: 0.0547 data_time: 0.0050 memory: 743 2022/08/11 11:59:55 - mmengine - INFO - Epoch(val) [2][4640/6282] eta: 0:01:44 time: 0.0636 data_time: 0.0044 memory: 816 2022/08/11 11:59:56 - mmengine - INFO - Epoch(val) [2][4660/6282] eta: 0:01:44 time: 0.0646 data_time: 0.0055 memory: 816 2022/08/11 11:59:57 - mmengine - INFO - Epoch(val) [2][4680/6282] eta: 0:01:43 time: 0.0644 data_time: 0.0043 memory: 816 2022/08/11 11:59:59 - mmengine - INFO - Epoch(val) [2][4700/6282] eta: 0:01:59 time: 0.0754 data_time: 0.0053 memory: 816 2022/08/11 12:00:00 - mmengine - INFO - Epoch(val) [2][4720/6282] eta: 0:01:35 time: 0.0609 data_time: 0.0046 memory: 816 2022/08/11 12:00:01 - mmengine - INFO - Epoch(val) [2][4740/6282] eta: 0:01:27 time: 0.0569 data_time: 0.0054 memory: 768 2022/08/11 12:00:04 - mmengine - INFO - Epoch(val) [2][4760/6282] eta: 0:04:10 time: 0.1649 data_time: 0.0138 memory: 768 2022/08/11 12:00:05 - mmengine - INFO - Epoch(val) [2][4780/6282] eta: 0:01:23 time: 0.0554 data_time: 0.0055 memory: 768 2022/08/11 12:00:08 - mmengine - INFO - Epoch(val) [2][4800/6282] eta: 0:02:58 time: 0.1208 data_time: 0.0748 memory: 768 2022/08/11 12:00:09 - mmengine - INFO - Epoch(val) [2][4820/6282] eta: 0:01:45 time: 0.0723 data_time: 0.0221 memory: 809 2022/08/11 12:00:11 - mmengine - INFO - Epoch(val) [2][4840/6282] eta: 0:01:48 time: 0.0752 data_time: 0.0228 memory: 809 2022/08/11 12:00:12 - mmengine - INFO - Epoch(val) [2][4860/6282] eta: 0:01:24 time: 0.0597 data_time: 0.0040 memory: 809 2022/08/11 12:00:13 - mmengine - INFO - Epoch(val) [2][4880/6282] eta: 0:01:26 time: 0.0616 data_time: 0.0042 memory: 809 2022/08/11 12:00:15 - mmengine - INFO - Epoch(val) [2][4900/6282] eta: 0:01:50 time: 0.0799 data_time: 0.0047 memory: 809 2022/08/11 12:00:16 - mmengine - INFO - Epoch(val) [2][4920/6282] eta: 0:01:24 time: 0.0618 data_time: 0.0039 memory: 811 2022/08/11 12:00:17 - mmengine - INFO - Epoch(val) [2][4940/6282] eta: 0:01:27 time: 0.0649 data_time: 0.0048 memory: 811 2022/08/11 12:00:19 - mmengine - INFO - Epoch(val) [2][4960/6282] eta: 0:01:21 time: 0.0615 data_time: 0.0046 memory: 811 2022/08/11 12:00:20 - mmengine - INFO - Epoch(val) [2][4980/6282] eta: 0:01:15 time: 0.0580 data_time: 0.0040 memory: 811 2022/08/11 12:00:21 - mmengine - INFO - Epoch(val) [2][5000/6282] eta: 0:01:16 time: 0.0599 data_time: 0.0039 memory: 811 2022/08/11 12:00:22 - mmengine - INFO - Epoch(val) [2][5020/6282] eta: 0:01:06 time: 0.0528 data_time: 0.0040 memory: 811 2022/08/11 12:00:23 - mmengine - INFO - Epoch(val) [2][5040/6282] eta: 0:01:02 time: 0.0503 data_time: 0.0041 memory: 743 2022/08/11 12:00:24 - mmengine - INFO - Epoch(val) [2][5060/6282] eta: 0:01:06 time: 0.0540 data_time: 0.0050 memory: 743 2022/08/11 12:00:25 - mmengine - INFO - Epoch(val) [2][5080/6282] eta: 0:01:08 time: 0.0569 data_time: 0.0056 memory: 743 2022/08/11 12:00:27 - mmengine - INFO - Epoch(val) [2][5100/6282] eta: 0:01:21 time: 0.0691 data_time: 0.0053 memory: 743 2022/08/11 12:00:28 - mmengine - INFO - Epoch(val) [2][5120/6282] eta: 0:01:07 time: 0.0579 data_time: 0.0064 memory: 743 2022/08/11 12:00:29 - mmengine - INFO - Epoch(val) [2][5140/6282] eta: 0:01:03 time: 0.0556 data_time: 0.0050 memory: 738 2022/08/11 12:00:30 - mmengine - INFO - Epoch(val) [2][5160/6282] eta: 0:01:00 time: 0.0542 data_time: 0.0055 memory: 738 2022/08/11 12:00:31 - mmengine - INFO - Epoch(val) [2][5180/6282] eta: 0:01:01 time: 0.0559 data_time: 0.0058 memory: 738 2022/08/11 12:00:32 - mmengine - INFO - Epoch(val) [2][5200/6282] eta: 0:00:59 time: 0.0549 data_time: 0.0051 memory: 738 2022/08/11 12:00:33 - mmengine - INFO - Epoch(val) [2][5220/6282] eta: 0:00:59 time: 0.0561 data_time: 0.0046 memory: 738 2022/08/11 12:00:34 - mmengine - INFO - Epoch(val) [2][5240/6282] eta: 0:00:58 time: 0.0565 data_time: 0.0049 memory: 736 2022/08/11 12:00:36 - mmengine - INFO - Epoch(val) [2][5260/6282] eta: 0:00:54 time: 0.0538 data_time: 0.0051 memory: 736 2022/08/11 12:00:37 - mmengine - INFO - Epoch(val) [2][5280/6282] eta: 0:01:21 time: 0.0816 data_time: 0.0057 memory: 736 2022/08/11 12:00:38 - mmengine - INFO - Epoch(val) [2][5300/6282] eta: 0:00:55 time: 0.0566 data_time: 0.0053 memory: 736 2022/08/11 12:00:39 - mmengine - INFO - Epoch(val) [2][5320/6282] eta: 0:00:54 time: 0.0564 data_time: 0.0054 memory: 738 2022/08/11 12:00:41 - mmengine - INFO - Epoch(val) [2][5340/6282] eta: 0:00:52 time: 0.0563 data_time: 0.0063 memory: 738 2022/08/11 12:00:42 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:00:52 time: 0.0568 data_time: 0.0052 memory: 738 2022/08/11 12:00:43 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:00:50 time: 0.0561 data_time: 0.0051 memory: 738 2022/08/11 12:00:44 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:00:50 time: 0.0572 data_time: 0.0042 memory: 738 2022/08/11 12:00:45 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:00:47 time: 0.0550 data_time: 0.0047 memory: 738 2022/08/11 12:00:46 - mmengine - INFO - Epoch(val) [2][5440/6282] eta: 0:00:47 time: 0.0565 data_time: 0.0049 memory: 738 2022/08/11 12:00:47 - mmengine - INFO - Epoch(val) [2][5460/6282] eta: 0:00:48 time: 0.0591 data_time: 0.0046 memory: 738 2022/08/11 12:00:48 - mmengine - INFO - Epoch(val) [2][5480/6282] eta: 0:00:43 time: 0.0541 data_time: 0.0052 memory: 738 2022/08/11 12:00:50 - mmengine - INFO - Epoch(val) [2][5500/6282] eta: 0:00:42 time: 0.0542 data_time: 0.0057 memory: 738 2022/08/11 12:00:51 - mmengine - INFO - Epoch(val) [2][5520/6282] eta: 0:00:44 time: 0.0587 data_time: 0.0044 memory: 763 2022/08/11 12:00:53 - mmengine - INFO - Epoch(val) [2][5540/6282] eta: 0:01:31 time: 0.1232 data_time: 0.0566 memory: 763 2022/08/11 12:00:55 - mmengine - INFO - Epoch(val) [2][5560/6282] eta: 0:00:50 time: 0.0704 data_time: 0.0219 memory: 763 2022/08/11 12:00:56 - mmengine - INFO - Epoch(val) [2][5580/6282] eta: 0:00:35 time: 0.0506 data_time: 0.0036 memory: 763 2022/08/11 12:00:57 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:00:35 time: 0.0518 data_time: 0.0035 memory: 763 2022/08/11 12:00:58 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:00:36 time: 0.0555 data_time: 0.0058 memory: 763 2022/08/11 12:00:59 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:35 time: 0.0559 data_time: 0.0050 memory: 738 2022/08/11 12:01:00 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:34 time: 0.0560 data_time: 0.0048 memory: 738 2022/08/11 12:01:01 - mmengine - INFO - Epoch(val) [2][5680/6282] eta: 0:00:33 time: 0.0558 data_time: 0.0044 memory: 738 2022/08/11 12:01:02 - mmengine - INFO - Epoch(val) [2][5700/6282] eta: 0:00:33 time: 0.0575 data_time: 0.0053 memory: 738 2022/08/11 12:01:03 - mmengine - INFO - Epoch(val) [2][5720/6282] eta: 0:00:31 time: 0.0569 data_time: 0.0051 memory: 780 2022/08/11 12:01:05 - mmengine - INFO - Epoch(val) [2][5740/6282] eta: 0:00:46 time: 0.0853 data_time: 0.0052 memory: 780 2022/08/11 12:01:06 - mmengine - INFO - Epoch(val) [2][5760/6282] eta: 0:00:30 time: 0.0584 data_time: 0.0058 memory: 780 2022/08/11 12:01:07 - mmengine - INFO - Epoch(val) [2][5780/6282] eta: 0:00:29 time: 0.0579 data_time: 0.0062 memory: 780 2022/08/11 12:01:09 - mmengine - INFO - Epoch(val) [2][5800/6282] eta: 0:00:26 time: 0.0558 data_time: 0.0048 memory: 780 2022/08/11 12:01:10 - mmengine - INFO - Epoch(val) [2][5820/6282] eta: 0:00:26 time: 0.0578 data_time: 0.0054 memory: 780 2022/08/11 12:01:11 - mmengine - INFO - Epoch(val) [2][5840/6282] eta: 0:00:34 time: 0.0775 data_time: 0.0309 memory: 763 2022/08/11 12:01:14 - mmengine - INFO - Epoch(val) [2][5860/6282] eta: 0:00:50 time: 0.1200 data_time: 0.0711 memory: 763 2022/08/11 12:01:15 - mmengine - INFO - Epoch(val) [2][5880/6282] eta: 0:00:23 time: 0.0595 data_time: 0.0113 memory: 763 2022/08/11 12:01:16 - mmengine - INFO - Epoch(val) [2][5900/6282] eta: 0:00:20 time: 0.0534 data_time: 0.0037 memory: 763 2022/08/11 12:01:17 - mmengine - INFO - Epoch(val) [2][5920/6282] eta: 0:00:17 time: 0.0490 data_time: 0.0036 memory: 763 2022/08/11 12:01:18 - mmengine - INFO - Epoch(val) [2][5940/6282] eta: 0:00:17 time: 0.0500 data_time: 0.0038 memory: 738 2022/08/11 12:01:19 - mmengine - INFO - Epoch(val) [2][5960/6282] eta: 0:00:16 time: 0.0499 data_time: 0.0046 memory: 738 2022/08/11 12:01:20 - mmengine - INFO - Epoch(val) [2][5980/6282] eta: 0:00:16 time: 0.0533 data_time: 0.0049 memory: 738 2022/08/11 12:01:21 - mmengine - INFO - Epoch(val) [2][6000/6282] eta: 0:00:17 time: 0.0621 data_time: 0.0047 memory: 809 2022/08/11 12:01:23 - mmengine - INFO - Epoch(val) [2][6020/6282] eta: 0:00:17 time: 0.0667 data_time: 0.0053 memory: 809 2022/08/11 12:01:24 - mmengine - INFO - Epoch(val) [2][6040/6282] eta: 0:00:15 time: 0.0653 data_time: 0.0062 memory: 809 2022/08/11 12:01:25 - mmengine - INFO - Epoch(val) [2][6060/6282] eta: 0:00:15 time: 0.0677 data_time: 0.0053 memory: 809 2022/08/11 12:01:27 - mmengine - INFO - Epoch(val) [2][6080/6282] eta: 0:00:18 time: 0.0935 data_time: 0.0083 memory: 809 2022/08/11 12:01:28 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:12 time: 0.0663 data_time: 0.0051 memory: 809 2022/08/11 12:01:30 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:11 time: 0.0681 data_time: 0.0073 memory: 809 2022/08/11 12:01:32 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:12 time: 0.0881 data_time: 0.0248 memory: 809 2022/08/11 12:01:33 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:09 time: 0.0749 data_time: 0.0142 memory: 809 2022/08/11 12:01:35 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:07 time: 0.0754 data_time: 0.0164 memory: 809 2022/08/11 12:01:36 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:04 time: 0.0593 data_time: 0.0042 memory: 809 2022/08/11 12:01:37 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:05 time: 0.0818 data_time: 0.0046 memory: 809 2022/08/11 12:01:39 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:02 time: 0.0553 data_time: 0.0032 memory: 809 2022/08/11 12:01:40 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:01 time: 0.0557 data_time: 0.0043 memory: 809 2022/08/11 12:01:41 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.0560 data_time: 0.0033 memory: 809 2022/08/11 12:07:00 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2430 2022/08/11 12:07:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2022/08/11 12:07:04 - mmengine - INFO - The best checkpoint with 0.2430 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2022/08/11 12:07:20 - mmengine - INFO - Epoch(train) [3][20/3842] lr: 7.5000e-02 eta: 4:33:35 time: 0.8450 data_time: 0.0972 memory: 10484 grad_norm: 0.2135 recall@thr=0.5: 0.4853 prec@thr=0.5: 0.8235 recall@top3: 0.6324 prec@top3: 0.6275 recall@top5: 0.8971 prec@top5: 0.5529 loss_action_cls: 0.0699 loss: 0.0699 2022/08/11 12:07:35 - mmengine - INFO - Epoch(train) [3][40/3842] lr: 7.5000e-02 eta: 4:33:39 time: 0.7158 data_time: 0.0193 memory: 10484 grad_norm: 0.2113 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8333 recall@top3: 0.8509 prec@top3: 0.7368 recall@top5: 0.9123 prec@top5: 0.4842 loss_action_cls: 0.0721 loss: 0.0721 2022/08/11 12:07:45 - mmengine - INFO - Epoch(train) [3][60/3842] lr: 7.4999e-02 eta: 4:33:24 time: 0.4903 data_time: 0.0185 memory: 10484 grad_norm: 0.2035 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.6667 recall@top3: 0.6319 prec@top3: 0.6111 recall@top5: 0.8542 prec@top5: 0.5000 loss_action_cls: 0.0709 loss: 0.0709 2022/08/11 12:07:55 - mmengine - INFO - Epoch(train) [3][80/3842] lr: 7.4999e-02 eta: 4:33:12 time: 0.5193 data_time: 0.0174 memory: 10484 grad_norm: 0.2220 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5139 recall@top3: 0.7407 prec@top3: 0.5741 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 12:08:09 - mmengine - INFO - Epoch(train) [3][100/3842] lr: 7.4998e-02 eta: 4:33:14 time: 0.6894 data_time: 0.0182 memory: 10484 grad_norm: 0.2095 recall@thr=0.5: 0.4702 prec@thr=0.5: 0.7024 recall@top3: 0.7381 prec@top3: 0.7143 recall@top5: 0.8690 prec@top5: 0.5143 loss_action_cls: 0.0741 loss: 0.0741 2022/08/11 12:08:19 - mmengine - INFO - Epoch(train) [3][120/3842] lr: 7.4997e-02 eta: 4:33:02 time: 0.5126 data_time: 0.0227 memory: 10484 grad_norm: 0.2075 recall@thr=0.5: 0.5571 prec@thr=0.5: 0.6190 recall@top3: 0.5810 prec@top3: 0.4762 recall@top5: 0.7571 prec@top5: 0.4000 loss_action_cls: 0.0715 loss: 0.0715 2022/08/11 12:08:29 - mmengine - INFO - Epoch(train) [3][140/3842] lr: 7.4996e-02 eta: 4:32:49 time: 0.5185 data_time: 0.0225 memory: 10484 grad_norm: 0.2068 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6771 recall@top3: 0.7083 prec@top3: 0.6458 recall@top5: 0.8229 prec@top5: 0.4625 loss_action_cls: 0.0777 loss: 0.0777 2022/08/11 12:08:39 - mmengine - INFO - Epoch(train) [3][160/3842] lr: 7.4995e-02 eta: 4:32:36 time: 0.4968 data_time: 0.0166 memory: 10484 grad_norm: 0.2067 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6042 recall@top3: 0.8125 prec@top3: 0.6944 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0650 loss: 0.0650 2022/08/11 12:08:50 - mmengine - INFO - Epoch(train) [3][180/3842] lr: 7.4994e-02 eta: 4:32:23 time: 0.5103 data_time: 0.0158 memory: 10484 grad_norm: 0.2104 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7949 recall@top3: 0.6026 prec@top3: 0.4872 recall@top5: 0.9744 prec@top5: 0.4923 loss_action_cls: 0.0688 loss: 0.0688 2022/08/11 12:09:00 - mmengine - INFO - Epoch(train) [3][200/3842] lr: 7.4992e-02 eta: 4:32:11 time: 0.5106 data_time: 0.0184 memory: 10484 grad_norm: 0.2302 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.3500 recall@top3: 0.7000 prec@top3: 0.4667 recall@top5: 0.8333 prec@top5: 0.3400 loss_action_cls: 0.0704 loss: 0.0704 2022/08/11 12:09:09 - mmengine - INFO - Epoch(train) [3][220/3842] lr: 7.4991e-02 eta: 4:31:56 time: 0.4871 data_time: 0.0180 memory: 10484 grad_norm: 0.2242 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.7879 recall@top3: 0.7765 prec@top3: 0.6515 recall@top5: 0.9470 prec@top5: 0.4818 loss_action_cls: 0.0709 loss: 0.0709 2022/08/11 12:09:20 - mmengine - INFO - Epoch(train) [3][240/3842] lr: 7.4989e-02 eta: 4:31:45 time: 0.5268 data_time: 0.0169 memory: 10484 grad_norm: 0.1995 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.8889 recall@top3: 0.7178 prec@top3: 0.7111 recall@top5: 0.9000 prec@top5: 0.5467 loss_action_cls: 0.0741 loss: 0.0741 2022/08/11 12:09:30 - mmengine - INFO - Epoch(train) [3][260/3842] lr: 7.4987e-02 eta: 4:31:31 time: 0.4891 data_time: 0.0182 memory: 10484 grad_norm: 0.2157 recall@thr=0.5: 0.7325 prec@thr=0.5: 0.8509 recall@top3: 0.9298 prec@top3: 0.8596 recall@top5: 0.9868 prec@top5: 0.5579 loss_action_cls: 0.0644 loss: 0.0644 2022/08/11 12:09:40 - mmengine - INFO - Epoch(train) [3][280/3842] lr: 7.4985e-02 eta: 4:31:17 time: 0.4895 data_time: 0.0140 memory: 10484 grad_norm: 0.2122 recall@thr=0.5: 0.8922 prec@thr=0.5: 0.8431 recall@top3: 0.8922 prec@top3: 0.7255 recall@top5: 0.9314 prec@top5: 0.4588 loss_action_cls: 0.0775 loss: 0.0775 2022/08/11 12:09:51 - mmengine - INFO - Epoch(train) [3][300/3842] lr: 7.4982e-02 eta: 4:31:09 time: 0.5770 data_time: 0.0189 memory: 10484 grad_norm: 0.2114 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8646 recall@top3: 0.7458 prec@top3: 0.6042 recall@top5: 0.8833 prec@top5: 0.4375 loss_action_cls: 0.0780 loss: 0.0780 2022/08/11 12:09:59 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 12:10:01 - mmengine - INFO - Epoch(train) [3][320/3842] lr: 7.4980e-02 eta: 4:30:55 time: 0.4886 data_time: 0.0177 memory: 10484 grad_norm: 0.2189 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.9048 recall@top3: 0.7738 prec@top3: 0.5714 recall@top5: 0.9107 prec@top5: 0.4143 loss_action_cls: 0.0613 loss: 0.0613 2022/08/11 12:10:11 - mmengine - INFO - Epoch(train) [3][340/3842] lr: 7.4977e-02 eta: 4:30:43 time: 0.5209 data_time: 0.0149 memory: 10484 grad_norm: 0.2107 recall@thr=0.5: 0.6716 prec@thr=0.5: 0.7255 recall@top3: 0.8382 prec@top3: 0.7255 recall@top5: 0.9314 prec@top5: 0.4941 loss_action_cls: 0.0785 loss: 0.0785 2022/08/11 12:10:22 - mmengine - INFO - Epoch(train) [3][360/3842] lr: 7.4975e-02 eta: 4:30:31 time: 0.5164 data_time: 0.0168 memory: 10484 grad_norm: 0.2206 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.8021 recall@top3: 0.8125 prec@top3: 0.7708 recall@top5: 0.9531 prec@top5: 0.5625 loss_action_cls: 0.0756 loss: 0.0756 2022/08/11 12:10:32 - mmengine - INFO - Epoch(train) [3][380/3842] lr: 7.4972e-02 eta: 4:30:19 time: 0.5164 data_time: 0.0172 memory: 10484 grad_norm: 0.2317 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7490 recall@top3: 0.7500 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.4625 loss_action_cls: 0.0782 loss: 0.0782 2022/08/11 12:10:42 - mmengine - INFO - Epoch(train) [3][400/3842] lr: 7.4969e-02 eta: 4:30:05 time: 0.4881 data_time: 0.0176 memory: 10484 grad_norm: 0.2281 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7500 recall@top3: 0.6792 prec@top3: 0.6250 recall@top5: 0.8792 prec@top5: 0.4875 loss_action_cls: 0.0742 loss: 0.0742 2022/08/11 12:10:52 - mmengine - INFO - Epoch(train) [3][420/3842] lr: 7.4966e-02 eta: 4:29:53 time: 0.5157 data_time: 0.0138 memory: 10484 grad_norm: 0.2314 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6094 recall@top3: 0.6812 prec@top3: 0.5625 recall@top5: 0.8604 prec@top5: 0.4375 loss_action_cls: 0.0715 loss: 0.0715 2022/08/11 12:11:02 - mmengine - INFO - Epoch(train) [3][440/3842] lr: 7.4962e-02 eta: 4:29:39 time: 0.4896 data_time: 0.0193 memory: 10484 grad_norm: 0.2238 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8922 recall@top3: 0.8676 prec@top3: 0.7451 recall@top5: 0.9412 prec@top5: 0.4824 loss_action_cls: 0.0738 loss: 0.0738 2022/08/11 12:11:12 - mmengine - INFO - Epoch(train) [3][460/3842] lr: 7.4959e-02 eta: 4:29:27 time: 0.5108 data_time: 0.0126 memory: 10484 grad_norm: 0.2064 recall@thr=0.5: 0.8986 prec@thr=0.5: 0.9493 recall@top3: 0.9493 prec@top3: 0.8551 recall@top5: 1.0000 prec@top5: 0.5478 loss_action_cls: 0.0702 loss: 0.0702 2022/08/11 12:11:22 - mmengine - INFO - Epoch(train) [3][480/3842] lr: 7.4955e-02 eta: 4:29:13 time: 0.4903 data_time: 0.0177 memory: 10484 grad_norm: 0.2152 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.7292 recall@top3: 0.7865 prec@top3: 0.6458 recall@top5: 0.9531 prec@top5: 0.4875 loss_action_cls: 0.0831 loss: 0.0831 2022/08/11 12:11:32 - mmengine - INFO - Epoch(train) [3][500/3842] lr: 7.4951e-02 eta: 4:29:00 time: 0.5087 data_time: 0.0142 memory: 10484 grad_norm: 0.2165 recall@thr=0.5: 0.8458 prec@thr=0.5: 0.9583 recall@top3: 0.9250 prec@top3: 0.8333 recall@top5: 0.9750 prec@top5: 0.5300 loss_action_cls: 0.0649 loss: 0.0649 2022/08/11 12:11:42 - mmengine - INFO - Epoch(train) [3][520/3842] lr: 7.4947e-02 eta: 4:28:46 time: 0.4902 data_time: 0.0183 memory: 10484 grad_norm: 0.2130 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7778 recall@top3: 0.7778 prec@top3: 0.6944 recall@top5: 0.9306 prec@top5: 0.5000 loss_action_cls: 0.0752 loss: 0.0752 2022/08/11 12:11:52 - mmengine - INFO - Epoch(train) [3][540/3842] lr: 7.4943e-02 eta: 4:28:35 time: 0.5321 data_time: 0.0157 memory: 10484 grad_norm: 0.2032 recall@thr=0.5: 0.6637 prec@thr=0.5: 0.6429 recall@top3: 0.7113 prec@top3: 0.6548 recall@top5: 0.8750 prec@top5: 0.4786 loss_action_cls: 0.0755 loss: 0.0755 2022/08/11 12:12:06 - mmengine - INFO - Epoch(train) [3][560/3842] lr: 7.4939e-02 eta: 4:28:35 time: 0.6699 data_time: 0.0648 memory: 10484 grad_norm: 0.2112 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4657 recall@top3: 0.4485 prec@top3: 0.3137 recall@top5: 0.6275 prec@top5: 0.2882 loss_action_cls: 0.0709 loss: 0.0709 2022/08/11 12:12:16 - mmengine - INFO - Epoch(train) [3][580/3842] lr: 7.4934e-02 eta: 4:28:23 time: 0.5240 data_time: 0.0174 memory: 10484 grad_norm: 0.2106 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.8492 recall@top3: 0.7937 prec@top3: 0.5714 recall@top5: 0.8730 prec@top5: 0.3810 loss_action_cls: 0.0749 loss: 0.0749 2022/08/11 12:12:28 - mmengine - INFO - Epoch(train) [3][600/3842] lr: 7.4930e-02 eta: 4:28:15 time: 0.5691 data_time: 0.0188 memory: 10484 grad_norm: 0.2200 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6515 recall@top3: 0.8939 prec@top3: 0.6970 recall@top5: 0.9697 prec@top5: 0.4727 loss_action_cls: 0.0745 loss: 0.0745 2022/08/11 12:12:38 - mmengine - INFO - Epoch(train) [3][620/3842] lr: 7.4925e-02 eta: 4:28:04 time: 0.5236 data_time: 0.0191 memory: 10484 grad_norm: 0.2154 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8182 recall@top3: 0.8788 prec@top3: 0.6970 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0690 loss: 0.0690 2022/08/11 12:12:51 - mmengine - INFO - Epoch(train) [3][640/3842] lr: 7.4920e-02 eta: 4:28:01 time: 0.6415 data_time: 0.0177 memory: 10484 grad_norm: 0.2084 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5476 recall@top3: 0.7381 prec@top3: 0.5476 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0722 loss: 0.0722 2022/08/11 12:13:01 - mmengine - INFO - Epoch(train) [3][660/3842] lr: 7.4915e-02 eta: 4:27:49 time: 0.5223 data_time: 0.0161 memory: 10484 grad_norm: 0.2107 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7105 recall@top3: 0.8596 prec@top3: 0.6667 recall@top5: 0.8947 prec@top5: 0.4211 loss_action_cls: 0.0674 loss: 0.0674 2022/08/11 12:13:12 - mmengine - INFO - Epoch(train) [3][680/3842] lr: 7.4910e-02 eta: 4:27:38 time: 0.5251 data_time: 0.0168 memory: 10484 grad_norm: 0.2077 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.9556 recall@top3: 0.8189 prec@top3: 0.8000 recall@top5: 0.9778 prec@top5: 0.6133 loss_action_cls: 0.0737 loss: 0.0737 2022/08/11 12:13:26 - mmengine - INFO - Epoch(train) [3][700/3842] lr: 7.4904e-02 eta: 4:27:39 time: 0.6931 data_time: 0.0238 memory: 10484 grad_norm: 0.2147 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8235 recall@top3: 0.8176 prec@top3: 0.7255 recall@top5: 0.9324 prec@top5: 0.5059 loss_action_cls: 0.0720 loss: 0.0720 2022/08/11 12:13:36 - mmengine - INFO - Epoch(train) [3][720/3842] lr: 7.4899e-02 eta: 4:27:26 time: 0.5147 data_time: 0.0184 memory: 10484 grad_norm: 0.2220 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7821 recall@top3: 0.7949 prec@top3: 0.6410 recall@top5: 0.8462 prec@top5: 0.4154 loss_action_cls: 0.0656 loss: 0.0656 2022/08/11 12:13:47 - mmengine - INFO - Epoch(train) [3][740/3842] lr: 7.4893e-02 eta: 4:27:15 time: 0.5173 data_time: 0.0169 memory: 10484 grad_norm: 0.2139 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7941 recall@top3: 0.6912 prec@top3: 0.5294 recall@top5: 0.8725 prec@top5: 0.4000 loss_action_cls: 0.0734 loss: 0.0734 2022/08/11 12:13:57 - mmengine - INFO - Epoch(train) [3][760/3842] lr: 7.4887e-02 eta: 4:27:03 time: 0.5206 data_time: 0.0190 memory: 10484 grad_norm: 0.2508 recall@thr=0.5: 0.5431 prec@thr=0.5: 0.6863 recall@top3: 0.6314 prec@top3: 0.5490 recall@top5: 0.8314 prec@top5: 0.4706 loss_action_cls: 0.0730 loss: 0.0730 2022/08/11 12:14:07 - mmengine - INFO - Epoch(train) [3][780/3842] lr: 7.4881e-02 eta: 4:26:50 time: 0.5083 data_time: 0.0186 memory: 10484 grad_norm: 0.1979 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.6905 recall@top3: 0.8869 prec@top3: 0.6905 recall@top5: 0.9107 prec@top5: 0.4286 loss_action_cls: 0.0845 loss: 0.0845 2022/08/11 12:14:18 - mmengine - INFO - Epoch(train) [3][800/3842] lr: 7.4875e-02 eta: 4:26:39 time: 0.5307 data_time: 0.0167 memory: 10484 grad_norm: 0.2088 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.4902 recall@top3: 0.5980 prec@top3: 0.4706 recall@top5: 0.8088 prec@top5: 0.4000 loss_action_cls: 0.0817 loss: 0.0817 2022/08/11 12:14:29 - mmengine - INFO - Epoch(train) [3][820/3842] lr: 7.4869e-02 eta: 4:26:32 time: 0.5839 data_time: 0.0186 memory: 10484 grad_norm: 0.2248 recall@thr=0.5: 0.7778 prec@thr=0.5: 1.0000 recall@top3: 0.8333 prec@top3: 0.8056 recall@top5: 0.8958 prec@top5: 0.5333 loss_action_cls: 0.0684 loss: 0.0684 2022/08/11 12:14:40 - mmengine - INFO - Epoch(train) [3][840/3842] lr: 7.4862e-02 eta: 4:26:22 time: 0.5375 data_time: 0.0178 memory: 10484 grad_norm: 0.2274 recall@thr=0.5: 0.7202 prec@thr=0.5: 0.7262 recall@top3: 0.7321 prec@top3: 0.6548 recall@top5: 0.9464 prec@top5: 0.5071 loss_action_cls: 0.0718 loss: 0.0718 2022/08/11 12:14:50 - mmengine - INFO - Epoch(train) [3][860/3842] lr: 7.4856e-02 eta: 4:26:10 time: 0.5153 data_time: 0.0161 memory: 10484 grad_norm: 0.2054 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.5870 recall@top3: 0.6522 prec@top3: 0.4348 recall@top5: 0.8442 prec@top5: 0.3391 loss_action_cls: 0.0733 loss: 0.0733 2022/08/11 12:15:00 - mmengine - INFO - Epoch(train) [3][880/3842] lr: 7.4849e-02 eta: 4:25:57 time: 0.5004 data_time: 0.0191 memory: 10484 grad_norm: 0.2060 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8021 recall@top3: 0.8438 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.5125 loss_action_cls: 0.0710 loss: 0.0710 2022/08/11 12:15:11 - mmengine - INFO - Epoch(train) [3][900/3842] lr: 7.4842e-02 eta: 4:25:45 time: 0.5278 data_time: 0.0154 memory: 10484 grad_norm: 0.2101 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.7167 recall@top3: 0.7000 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.5800 loss_action_cls: 0.0695 loss: 0.0695 2022/08/11 12:15:21 - mmengine - INFO - Epoch(train) [3][920/3842] lr: 7.4835e-02 eta: 4:25:34 time: 0.5189 data_time: 0.0214 memory: 10484 grad_norm: 0.2094 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6492 recall@top3: 0.6944 prec@top3: 0.6349 recall@top5: 0.8810 prec@top5: 0.4667 loss_action_cls: 0.0693 loss: 0.0693 2022/08/11 12:15:32 - mmengine - INFO - Epoch(train) [3][940/3842] lr: 7.4827e-02 eta: 4:25:22 time: 0.5276 data_time: 0.0165 memory: 10484 grad_norm: 0.2157 recall@thr=0.5: 0.7296 prec@thr=0.5: 1.0000 recall@top3: 0.8620 prec@top3: 0.7593 recall@top5: 0.9259 prec@top5: 0.5111 loss_action_cls: 0.0707 loss: 0.0707 2022/08/11 12:15:42 - mmengine - INFO - Epoch(train) [3][960/3842] lr: 7.4820e-02 eta: 4:25:09 time: 0.4936 data_time: 0.0210 memory: 10484 grad_norm: 0.2145 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7167 recall@top3: 0.7500 prec@top3: 0.6500 recall@top5: 0.8458 prec@top5: 0.4500 loss_action_cls: 0.0741 loss: 0.0741 2022/08/11 12:15:54 - mmengine - INFO - Epoch(train) [3][980/3842] lr: 7.4812e-02 eta: 4:25:02 time: 0.5886 data_time: 0.0147 memory: 10484 grad_norm: 0.2074 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7619 recall@top3: 0.7341 prec@top3: 0.6508 recall@top5: 0.8571 prec@top5: 0.4667 loss_action_cls: 0.0697 loss: 0.0697 2022/08/11 12:16:04 - mmengine - INFO - Epoch(train) [3][1000/3842] lr: 7.4805e-02 eta: 4:24:50 time: 0.5161 data_time: 0.0179 memory: 10484 grad_norm: 0.2053 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6250 recall@top3: 0.7976 prec@top3: 0.6667 recall@top5: 0.8571 prec@top5: 0.4429 loss_action_cls: 0.0713 loss: 0.0713 2022/08/11 12:16:15 - mmengine - INFO - Epoch(train) [3][1020/3842] lr: 7.4797e-02 eta: 4:24:42 time: 0.5671 data_time: 0.0180 memory: 10484 grad_norm: 0.2093 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.9118 recall@top3: 0.9020 prec@top3: 0.9020 recall@top5: 0.9608 prec@top5: 0.5882 loss_action_cls: 0.0694 loss: 0.0694 2022/08/11 12:16:26 - mmengine - INFO - Epoch(train) [3][1040/3842] lr: 7.4789e-02 eta: 4:24:30 time: 0.5189 data_time: 0.0186 memory: 10484 grad_norm: 0.2102 recall@thr=0.5: 0.7135 prec@thr=0.5: 0.8958 recall@top3: 0.7760 prec@top3: 0.6250 recall@top5: 0.8906 prec@top5: 0.4375 loss_action_cls: 0.0679 loss: 0.0679 2022/08/11 12:16:36 - mmengine - INFO - Epoch(train) [3][1060/3842] lr: 7.4781e-02 eta: 4:24:19 time: 0.5249 data_time: 0.0192 memory: 10484 grad_norm: 0.2023 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.5719 recall@top3: 0.6447 prec@top3: 0.5789 recall@top5: 0.8947 prec@top5: 0.4842 loss_action_cls: 0.0664 loss: 0.0664 2022/08/11 12:16:47 - mmengine - INFO - Epoch(train) [3][1080/3842] lr: 7.4772e-02 eta: 4:24:07 time: 0.5203 data_time: 0.0176 memory: 10484 grad_norm: 0.2048 recall@thr=0.5: 0.5298 prec@thr=0.5: 0.7381 recall@top3: 0.6964 prec@top3: 0.6667 recall@top5: 0.8690 prec@top5: 0.5000 loss_action_cls: 0.0745 loss: 0.0745 2022/08/11 12:16:57 - mmengine - INFO - Epoch(train) [3][1100/3842] lr: 7.4764e-02 eta: 4:23:57 time: 0.5403 data_time: 0.0173 memory: 10484 grad_norm: 0.2079 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.6818 recall@top3: 0.7197 prec@top3: 0.5455 recall@top5: 0.9091 prec@top5: 0.4545 loss_action_cls: 0.0721 loss: 0.0721 2022/08/11 12:17:08 - mmengine - INFO - Epoch(train) [3][1120/3842] lr: 7.4755e-02 eta: 4:23:46 time: 0.5294 data_time: 0.0207 memory: 10484 grad_norm: 0.2133 recall@thr=0.5: 0.4514 prec@thr=0.5: 0.7500 recall@top3: 0.6250 prec@top3: 0.6111 recall@top5: 0.7361 prec@top5: 0.4167 loss_action_cls: 0.0695 loss: 0.0695 2022/08/11 12:17:18 - mmengine - INFO - Epoch(train) [3][1140/3842] lr: 7.4746e-02 eta: 4:23:32 time: 0.4956 data_time: 0.0210 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8333 recall@top3: 0.9000 prec@top3: 0.6444 recall@top5: 0.9000 prec@top5: 0.3867 loss_action_cls: 0.0717 loss: 0.0717 2022/08/11 12:17:28 - mmengine - INFO - Epoch(train) [3][1160/3842] lr: 7.4737e-02 eta: 4:23:21 time: 0.5186 data_time: 0.0161 memory: 10484 grad_norm: 0.2131 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.6591 recall@top3: 0.7235 prec@top3: 0.6212 recall@top5: 0.9129 prec@top5: 0.4727 loss_action_cls: 0.0623 loss: 0.0623 2022/08/11 12:17:40 - mmengine - INFO - Epoch(train) [3][1180/3842] lr: 7.4728e-02 eta: 4:23:15 time: 0.6043 data_time: 0.0204 memory: 10484 grad_norm: 0.2222 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.7865 recall@top3: 0.7619 prec@top3: 0.7143 recall@top5: 0.9246 prec@top5: 0.5238 loss_action_cls: 0.0660 loss: 0.0660 2022/08/11 12:17:50 - mmengine - INFO - Epoch(train) [3][1200/3842] lr: 7.4719e-02 eta: 4:23:01 time: 0.4938 data_time: 0.0191 memory: 10484 grad_norm: 0.2077 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7083 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.8056 prec@top5: 0.4000 loss_action_cls: 0.0682 loss: 0.0682 2022/08/11 12:18:03 - mmengine - INFO - Epoch(train) [3][1220/3842] lr: 7.4709e-02 eta: 4:22:58 time: 0.6447 data_time: 0.0172 memory: 10484 grad_norm: 0.2045 recall@thr=0.5: 0.8393 prec@thr=0.5: 0.7500 recall@top3: 0.9464 prec@top3: 0.5952 recall@top5: 0.9643 prec@top5: 0.3714 loss_action_cls: 0.0710 loss: 0.0710 2022/08/11 12:18:14 - mmengine - INFO - Epoch(train) [3][1240/3842] lr: 7.4700e-02 eta: 4:22:46 time: 0.5223 data_time: 0.0187 memory: 10484 grad_norm: 0.2206 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7179 recall@top3: 0.7692 prec@top3: 0.6923 recall@top5: 0.9487 prec@top5: 0.5077 loss_action_cls: 0.0673 loss: 0.0673 2022/08/11 12:18:24 - mmengine - INFO - Epoch(train) [3][1260/3842] lr: 7.4690e-02 eta: 4:22:34 time: 0.5062 data_time: 0.0182 memory: 10484 grad_norm: 0.2110 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8333 recall@top3: 0.8241 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0677 loss: 0.0677 2022/08/11 12:18:34 - mmengine - INFO - Epoch(train) [3][1280/3842] lr: 7.4680e-02 eta: 4:22:22 time: 0.5213 data_time: 0.0162 memory: 10484 grad_norm: 0.2104 recall@thr=0.5: 0.5885 prec@thr=0.5: 0.7812 recall@top3: 0.8333 prec@top3: 0.7083 recall@top5: 0.9583 prec@top5: 0.5125 loss_action_cls: 0.0738 loss: 0.0738 2022/08/11 12:18:44 - mmengine - INFO - Epoch(train) [3][1300/3842] lr: 7.4670e-02 eta: 4:22:09 time: 0.4961 data_time: 0.0215 memory: 10484 grad_norm: 0.2121 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.7407 recall@top3: 0.7639 prec@top3: 0.6852 recall@top5: 0.9630 prec@top5: 0.5222 loss_action_cls: 0.0687 loss: 0.0687 2022/08/11 12:18:52 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 12:18:54 - mmengine - INFO - Epoch(train) [3][1320/3842] lr: 7.4660e-02 eta: 4:21:57 time: 0.5123 data_time: 0.0138 memory: 10484 grad_norm: 0.2057 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7667 recall@top3: 0.8278 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0667 loss: 0.0667 2022/08/11 12:19:04 - mmengine - INFO - Epoch(train) [3][1340/3842] lr: 7.4649e-02 eta: 4:21:44 time: 0.5006 data_time: 0.0177 memory: 10484 grad_norm: 0.2268 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.8596 recall@top3: 0.9649 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0640 loss: 0.0640 2022/08/11 12:19:14 - mmengine - INFO - Epoch(train) [3][1360/3842] lr: 7.4639e-02 eta: 4:21:32 time: 0.5102 data_time: 0.0164 memory: 10484 grad_norm: 0.2132 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.8205 recall@top3: 0.8141 prec@top3: 0.7949 recall@top5: 0.9487 prec@top5: 0.5692 loss_action_cls: 0.0645 loss: 0.0645 2022/08/11 12:19:24 - mmengine - INFO - Epoch(train) [3][1380/3842] lr: 7.4628e-02 eta: 4:21:18 time: 0.4893 data_time: 0.0171 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8333 recall@top3: 0.9375 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0788 loss: 0.0788 2022/08/11 12:19:34 - mmengine - INFO - Epoch(train) [3][1400/3842] lr: 7.4617e-02 eta: 4:21:06 time: 0.5126 data_time: 0.0152 memory: 10484 grad_norm: 0.2117 recall@thr=0.5: 0.4395 prec@thr=0.5: 0.6961 recall@top3: 0.5975 prec@top3: 0.6078 recall@top5: 0.8213 prec@top5: 0.5294 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 12:19:45 - mmengine - INFO - Epoch(train) [3][1420/3842] lr: 7.4606e-02 eta: 4:20:54 time: 0.5148 data_time: 0.0172 memory: 10484 grad_norm: 0.2229 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7000 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.8000 prec@top5: 0.3600 loss_action_cls: 0.0704 loss: 0.0704 2022/08/11 12:19:56 - mmengine - INFO - Epoch(train) [3][1440/3842] lr: 7.4595e-02 eta: 4:20:45 time: 0.5565 data_time: 0.0290 memory: 10484 grad_norm: 0.2118 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8009 recall@top3: 0.8148 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.3889 loss_action_cls: 0.0764 loss: 0.0764 2022/08/11 12:20:06 - mmengine - INFO - Epoch(train) [3][1460/3842] lr: 7.4584e-02 eta: 4:20:33 time: 0.5174 data_time: 0.0169 memory: 10484 grad_norm: 0.2146 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7407 recall@top3: 0.9444 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.3778 loss_action_cls: 0.0714 loss: 0.0714 2022/08/11 12:20:18 - mmengine - INFO - Epoch(train) [3][1480/3842] lr: 7.4572e-02 eta: 4:20:26 time: 0.5886 data_time: 0.0197 memory: 10484 grad_norm: 0.2060 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.7500 recall@top3: 0.7083 prec@top3: 0.5625 recall@top5: 0.8125 prec@top5: 0.4000 loss_action_cls: 0.0705 loss: 0.0705 2022/08/11 12:20:29 - mmengine - INFO - Epoch(train) [3][1500/3842] lr: 7.4561e-02 eta: 4:20:15 time: 0.5233 data_time: 0.0180 memory: 10484 grad_norm: 0.1983 recall@thr=0.5: 0.6052 prec@thr=0.5: 0.7042 recall@top3: 0.6604 prec@top3: 0.6667 recall@top5: 0.8188 prec@top5: 0.5125 loss_action_cls: 0.0664 loss: 0.0664 2022/08/11 12:20:40 - mmengine - INFO - Epoch(train) [3][1520/3842] lr: 7.4549e-02 eta: 4:20:08 time: 0.5931 data_time: 0.0174 memory: 10484 grad_norm: 0.2143 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.7500 recall@top3: 0.9250 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4000 loss_action_cls: 0.0735 loss: 0.0735 2022/08/11 12:20:51 - mmengine - INFO - Epoch(train) [3][1540/3842] lr: 7.4537e-02 eta: 4:19:56 time: 0.5193 data_time: 0.0207 memory: 10484 grad_norm: 0.2245 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.7583 recall@top3: 0.8392 prec@top3: 0.6833 recall@top5: 0.9300 prec@top5: 0.4800 loss_action_cls: 0.0742 loss: 0.0742 2022/08/11 12:21:08 - mmengine - INFO - Epoch(train) [3][1560/3842] lr: 7.4525e-02 eta: 4:20:08 time: 0.8861 data_time: 0.0176 memory: 10484 grad_norm: 0.2137 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6786 recall@top3: 0.8214 prec@top3: 0.5476 recall@top5: 0.8929 prec@top5: 0.3571 loss_action_cls: 0.0737 loss: 0.0737 2022/08/11 12:21:18 - mmengine - INFO - Epoch(train) [3][1580/3842] lr: 7.4513e-02 eta: 4:19:54 time: 0.4957 data_time: 0.0186 memory: 10484 grad_norm: 0.2203 recall@thr=0.5: 0.5056 prec@thr=0.5: 0.6333 recall@top3: 0.7889 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0741 loss: 0.0741 2022/08/11 12:21:29 - mmengine - INFO - Epoch(train) [3][1600/3842] lr: 7.4500e-02 eta: 4:19:42 time: 0.5157 data_time: 0.0185 memory: 10484 grad_norm: 0.2076 recall@thr=0.5: 0.7210 prec@thr=0.5: 0.8913 recall@top3: 0.8587 prec@top3: 0.7536 recall@top5: 0.9565 prec@top5: 0.5217 loss_action_cls: 0.0662 loss: 0.0662 2022/08/11 12:21:39 - mmengine - INFO - Epoch(train) [3][1620/3842] lr: 7.4488e-02 eta: 4:19:29 time: 0.4953 data_time: 0.0175 memory: 10484 grad_norm: 0.2109 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7115 recall@top3: 0.6538 prec@top3: 0.5385 recall@top5: 0.9487 prec@top5: 0.4615 loss_action_cls: 0.0639 loss: 0.0639 2022/08/11 12:21:49 - mmengine - INFO - Epoch(train) [3][1640/3842] lr: 7.4475e-02 eta: 4:19:17 time: 0.5170 data_time: 0.0182 memory: 10484 grad_norm: 0.2059 recall@thr=0.5: 0.6714 prec@thr=0.5: 0.7440 recall@top3: 0.7643 prec@top3: 0.7619 recall@top5: 0.8929 prec@top5: 0.5571 loss_action_cls: 0.0565 loss: 0.0565 2022/08/11 12:22:00 - mmengine - INFO - Epoch(train) [3][1660/3842] lr: 7.4462e-02 eta: 4:19:08 time: 0.5617 data_time: 0.0165 memory: 10484 grad_norm: 0.2037 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.7870 recall@top3: 0.7083 prec@top3: 0.7963 recall@top5: 0.9676 prec@top5: 0.6333 loss_action_cls: 0.0747 loss: 0.0747 2022/08/11 12:22:11 - mmengine - INFO - Epoch(train) [3][1680/3842] lr: 7.4449e-02 eta: 4:18:58 time: 0.5351 data_time: 0.0182 memory: 10484 grad_norm: 0.2110 recall@thr=0.5: 0.6302 prec@thr=0.5: 0.6312 recall@top3: 0.8125 prec@top3: 0.6875 recall@top5: 0.8594 prec@top5: 0.4500 loss_action_cls: 0.0688 loss: 0.0688 2022/08/11 12:22:21 - mmengine - INFO - Epoch(train) [3][1700/3842] lr: 7.4436e-02 eta: 4:18:44 time: 0.4923 data_time: 0.0189 memory: 10484 grad_norm: 0.2066 recall@thr=0.5: 0.3718 prec@thr=0.5: 0.3718 recall@top3: 0.6282 prec@top3: 0.4615 recall@top5: 0.8462 prec@top5: 0.3692 loss_action_cls: 0.0734 loss: 0.0734 2022/08/11 12:22:31 - mmengine - INFO - Epoch(train) [3][1720/3842] lr: 7.4423e-02 eta: 4:18:32 time: 0.5124 data_time: 0.0138 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.6898 prec@thr=0.5: 0.8333 recall@top3: 0.8935 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0748 loss: 0.0748 2022/08/11 12:22:41 - mmengine - INFO - Epoch(train) [3][1740/3842] lr: 7.4409e-02 eta: 4:18:19 time: 0.4912 data_time: 0.0199 memory: 10484 grad_norm: 0.2184 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.5714 recall@top3: 0.6667 prec@top3: 0.5952 recall@top5: 0.9048 prec@top5: 0.4714 loss_action_cls: 0.0695 loss: 0.0695 2022/08/11 12:22:51 - mmengine - INFO - Epoch(train) [3][1760/3842] lr: 7.4396e-02 eta: 4:18:07 time: 0.5188 data_time: 0.0159 memory: 10484 grad_norm: 0.2258 recall@thr=0.5: 0.4359 prec@thr=0.5: 0.7692 recall@top3: 0.7949 prec@top3: 0.6923 recall@top5: 0.8974 prec@top5: 0.4615 loss_action_cls: 0.0601 loss: 0.0601 2022/08/11 12:23:01 - mmengine - INFO - Epoch(train) [3][1780/3842] lr: 7.4382e-02 eta: 4:17:54 time: 0.4903 data_time: 0.0187 memory: 10484 grad_norm: 0.2083 recall@thr=0.5: 0.7135 prec@thr=0.5: 0.7510 recall@top3: 0.7552 prec@top3: 0.6458 recall@top5: 0.8750 prec@top5: 0.4625 loss_action_cls: 0.0673 loss: 0.0673 2022/08/11 12:23:11 - mmengine - INFO - Epoch(train) [3][1800/3842] lr: 7.4368e-02 eta: 4:17:42 time: 0.5105 data_time: 0.0154 memory: 10484 grad_norm: 0.2156 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7456 recall@top3: 0.7237 prec@top3: 0.7368 recall@top5: 0.8860 prec@top5: 0.5474 loss_action_cls: 0.0726 loss: 0.0726 2022/08/11 12:23:21 - mmengine - INFO - Epoch(train) [3][1820/3842] lr: 7.4354e-02 eta: 4:17:28 time: 0.4908 data_time: 0.0190 memory: 10484 grad_norm: 0.2121 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.7645 recall@top3: 0.7457 prec@top3: 0.7971 recall@top5: 0.8957 prec@top5: 0.5913 loss_action_cls: 0.0751 loss: 0.0751 2022/08/11 12:23:31 - mmengine - INFO - Epoch(train) [3][1840/3842] lr: 7.4339e-02 eta: 4:17:16 time: 0.5111 data_time: 0.0146 memory: 10484 grad_norm: 0.2000 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.6364 recall@top3: 0.6856 prec@top3: 0.6212 recall@top5: 0.8864 prec@top5: 0.4909 loss_action_cls: 0.0650 loss: 0.0650 2022/08/11 12:23:42 - mmengine - INFO - Epoch(train) [3][1860/3842] lr: 7.4325e-02 eta: 4:17:05 time: 0.5151 data_time: 0.0207 memory: 10484 grad_norm: 0.2106 recall@thr=0.5: 0.6096 prec@thr=0.5: 0.7018 recall@top3: 0.8070 prec@top3: 0.6316 recall@top5: 0.9868 prec@top5: 0.4842 loss_action_cls: 0.0693 loss: 0.0693 2022/08/11 12:23:54 - mmengine - INFO - Epoch(train) [3][1880/3842] lr: 7.4311e-02 eta: 4:16:59 time: 0.6209 data_time: 0.0182 memory: 10484 grad_norm: 0.2192 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7037 recall@top3: 0.7315 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0659 loss: 0.0659 2022/08/11 12:24:04 - mmengine - INFO - Epoch(train) [3][1900/3842] lr: 7.4296e-02 eta: 4:16:48 time: 0.5247 data_time: 0.0234 memory: 10484 grad_norm: 0.2004 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6433 recall@top3: 0.7750 prec@top3: 0.6167 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0639 loss: 0.0639 2022/08/11 12:24:16 - mmengine - INFO - Epoch(train) [3][1920/3842] lr: 7.4281e-02 eta: 4:16:39 time: 0.5714 data_time: 0.0176 memory: 10484 grad_norm: 0.2078 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.3846 recall@top3: 0.5513 prec@top3: 0.4872 recall@top5: 0.8077 prec@top5: 0.4154 loss_action_cls: 0.0655 loss: 0.0655 2022/08/11 12:24:27 - mmengine - INFO - Epoch(train) [3][1940/3842] lr: 7.4266e-02 eta: 4:16:30 time: 0.5545 data_time: 0.0188 memory: 10484 grad_norm: 0.2028 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7157 recall@top3: 0.8039 prec@top3: 0.6078 recall@top5: 0.9804 prec@top5: 0.4706 loss_action_cls: 0.0686 loss: 0.0686 2022/08/11 12:24:38 - mmengine - INFO - Epoch(train) [3][1960/3842] lr: 7.4251e-02 eta: 4:16:21 time: 0.5694 data_time: 0.0218 memory: 10484 grad_norm: 0.2020 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7105 recall@top3: 0.7105 prec@top3: 0.6140 recall@top5: 0.9868 prec@top5: 0.5368 loss_action_cls: 0.0726 loss: 0.0726 2022/08/11 12:24:51 - mmengine - INFO - Epoch(train) [3][1980/3842] lr: 7.4235e-02 eta: 4:16:15 time: 0.6069 data_time: 0.0187 memory: 10484 grad_norm: 0.2041 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8333 recall@top3: 0.7458 prec@top3: 0.5500 recall@top5: 0.8875 prec@top5: 0.4200 loss_action_cls: 0.0731 loss: 0.0731 2022/08/11 12:25:01 - mmengine - INFO - Epoch(train) [3][2000/3842] lr: 7.4220e-02 eta: 4:16:03 time: 0.5195 data_time: 0.0214 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8571 recall@top3: 0.8333 prec@top3: 0.7143 recall@top5: 0.8869 prec@top5: 0.4714 loss_action_cls: 0.0673 loss: 0.0673 2022/08/11 12:25:11 - mmengine - INFO - Epoch(train) [3][2020/3842] lr: 7.4204e-02 eta: 4:15:50 time: 0.4917 data_time: 0.0190 memory: 10484 grad_norm: 0.2190 recall@thr=0.5: 0.5519 prec@thr=0.5: 0.6111 recall@top3: 0.6537 prec@top3: 0.5926 recall@top5: 0.7630 prec@top5: 0.4444 loss_action_cls: 0.0751 loss: 0.0751 2022/08/11 12:25:21 - mmengine - INFO - Epoch(train) [3][2040/3842] lr: 7.4189e-02 eta: 4:15:38 time: 0.5089 data_time: 0.0141 memory: 10484 grad_norm: 0.2096 recall@thr=0.5: 0.7676 prec@thr=0.5: 0.8382 recall@top3: 0.8343 prec@top3: 0.7647 recall@top5: 0.9118 prec@top5: 0.5176 loss_action_cls: 0.0750 loss: 0.0750 2022/08/11 12:25:32 - mmengine - INFO - Epoch(train) [3][2060/3842] lr: 7.4173e-02 eta: 4:15:29 time: 0.5627 data_time: 0.0166 memory: 10484 grad_norm: 0.2174 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.8646 recall@top3: 0.8646 prec@top3: 0.7292 recall@top5: 0.9844 prec@top5: 0.5125 loss_action_cls: 0.0777 loss: 0.0777 2022/08/11 12:25:42 - mmengine - INFO - Epoch(train) [3][2080/3842] lr: 7.4157e-02 eta: 4:15:17 time: 0.5116 data_time: 0.0182 memory: 10484 grad_norm: 0.2090 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.9074 recall@top3: 0.9352 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0737 loss: 0.0737 2022/08/11 12:25:52 - mmengine - INFO - Epoch(train) [3][2100/3842] lr: 7.4140e-02 eta: 4:15:03 time: 0.4876 data_time: 0.0167 memory: 10484 grad_norm: 0.2142 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8646 recall@top3: 0.8750 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0642 loss: 0.0642 2022/08/11 12:26:02 - mmengine - INFO - Epoch(train) [3][2120/3842] lr: 7.4124e-02 eta: 4:14:51 time: 0.5134 data_time: 0.0160 memory: 10484 grad_norm: 0.2028 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9427 recall@top3: 0.8958 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0677 loss: 0.0677 2022/08/11 12:26:12 - mmengine - INFO - Epoch(train) [3][2140/3842] lr: 7.4107e-02 eta: 4:14:38 time: 0.4890 data_time: 0.0172 memory: 10484 grad_norm: 0.2145 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7794 recall@top3: 0.7598 prec@top3: 0.6471 recall@top5: 0.8039 prec@top5: 0.4235 loss_action_cls: 0.0730 loss: 0.0730 2022/08/11 12:26:22 - mmengine - INFO - Epoch(train) [3][2160/3842] lr: 7.4091e-02 eta: 4:14:26 time: 0.5120 data_time: 0.0160 memory: 10484 grad_norm: 0.2172 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9167 recall@top3: 0.8542 prec@top3: 0.7083 recall@top5: 0.8750 prec@top5: 0.4375 loss_action_cls: 0.0717 loss: 0.0717 2022/08/11 12:26:33 - mmengine - INFO - Epoch(train) [3][2180/3842] lr: 7.4074e-02 eta: 4:14:14 time: 0.5124 data_time: 0.0163 memory: 10484 grad_norm: 0.1974 recall@thr=0.5: 0.7044 prec@thr=0.5: 0.8111 recall@top3: 0.8233 prec@top3: 0.6667 recall@top5: 0.9089 prec@top5: 0.4667 loss_action_cls: 0.0660 loss: 0.0660 2022/08/11 12:26:43 - mmengine - INFO - Epoch(train) [3][2200/3842] lr: 7.4057e-02 eta: 4:14:02 time: 0.5080 data_time: 0.0190 memory: 10484 grad_norm: 0.2117 recall@thr=0.5: 0.4821 prec@thr=0.5: 0.4762 recall@top3: 0.6964 prec@top3: 0.5952 recall@top5: 0.9464 prec@top5: 0.4857 loss_action_cls: 0.0720 loss: 0.0720 2022/08/11 12:26:53 - mmengine - INFO - Epoch(train) [3][2220/3842] lr: 7.4040e-02 eta: 4:13:51 time: 0.5272 data_time: 0.0195 memory: 10484 grad_norm: 0.2046 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.6558 recall@top3: 0.7609 prec@top3: 0.6522 recall@top5: 0.9493 prec@top5: 0.5043 loss_action_cls: 0.0653 loss: 0.0653 2022/08/11 12:27:05 - mmengine - INFO - Epoch(train) [3][2240/3842] lr: 7.4022e-02 eta: 4:13:43 time: 0.5884 data_time: 0.0241 memory: 10484 grad_norm: 0.2042 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.7500 recall@top3: 0.7778 prec@top3: 0.5556 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0670 loss: 0.0670 2022/08/11 12:27:16 - mmengine - INFO - Epoch(train) [3][2260/3842] lr: 7.4005e-02 eta: 4:13:32 time: 0.5184 data_time: 0.0169 memory: 10484 grad_norm: 0.2008 recall@thr=0.5: 0.4771 prec@thr=0.5: 0.6312 recall@top3: 0.6625 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0727 loss: 0.0727 2022/08/11 12:27:25 - mmengine - INFO - Epoch(train) [3][2280/3842] lr: 7.3987e-02 eta: 4:13:19 time: 0.4954 data_time: 0.0196 memory: 10484 grad_norm: 0.1994 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7037 recall@top3: 0.8426 prec@top3: 0.5370 recall@top5: 0.8889 prec@top5: 0.3444 loss_action_cls: 0.0703 loss: 0.0703 2022/08/11 12:27:36 - mmengine - INFO - Epoch(train) [3][2300/3842] lr: 7.3969e-02 eta: 4:13:07 time: 0.5146 data_time: 0.0143 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7130 recall@top3: 0.8148 prec@top3: 0.7222 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0688 loss: 0.0688 2022/08/11 12:27:44 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 12:27:46 - mmengine - INFO - Epoch(train) [3][2320/3842] lr: 7.3951e-02 eta: 4:12:56 time: 0.5250 data_time: 0.0199 memory: 10484 grad_norm: 0.2177 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.9103 recall@top3: 0.8718 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.5385 loss_action_cls: 0.0714 loss: 0.0714 2022/08/11 12:27:56 - mmengine - INFO - Epoch(train) [3][2340/3842] lr: 7.3933e-02 eta: 4:12:43 time: 0.5040 data_time: 0.0174 memory: 10484 grad_norm: 0.2131 recall@thr=0.5: 0.6823 prec@thr=0.5: 0.7812 recall@top3: 0.7396 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4750 loss_action_cls: 0.0673 loss: 0.0673 2022/08/11 12:28:07 - mmengine - INFO - Epoch(train) [3][2360/3842] lr: 7.3915e-02 eta: 4:12:32 time: 0.5223 data_time: 0.0193 memory: 10484 grad_norm: 0.2146 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.7333 recall@top3: 0.7333 prec@top3: 0.4667 recall@top5: 0.8889 prec@top5: 0.3733 loss_action_cls: 0.0679 loss: 0.0679 2022/08/11 12:28:17 - mmengine - INFO - Epoch(train) [3][2380/3842] lr: 7.3897e-02 eta: 4:12:19 time: 0.4918 data_time: 0.0170 memory: 10484 grad_norm: 0.2032 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7750 recall@top3: 0.7917 prec@top3: 0.6500 recall@top5: 0.9833 prec@top5: 0.4600 loss_action_cls: 0.0674 loss: 0.0674 2022/08/11 12:28:27 - mmengine - INFO - Epoch(train) [3][2400/3842] lr: 7.3878e-02 eta: 4:12:08 time: 0.5208 data_time: 0.0185 memory: 10484 grad_norm: 0.2106 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8826 recall@top3: 0.8288 prec@top3: 0.8788 recall@top5: 0.9515 prec@top5: 0.6364 loss_action_cls: 0.0692 loss: 0.0692 2022/08/11 12:28:39 - mmengine - INFO - Epoch(train) [3][2420/3842] lr: 7.3860e-02 eta: 4:12:00 time: 0.5817 data_time: 0.0850 memory: 10484 grad_norm: 0.1973 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.8542 recall@top3: 0.8667 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0703 loss: 0.0703 2022/08/11 12:28:49 - mmengine - INFO - Epoch(train) [3][2440/3842] lr: 7.3841e-02 eta: 4:11:49 time: 0.5342 data_time: 0.0137 memory: 10484 grad_norm: 0.1956 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6574 recall@top3: 0.6019 prec@top3: 0.4444 recall@top5: 0.8704 prec@top5: 0.4111 loss_action_cls: 0.0615 loss: 0.0615 2022/08/11 12:28:59 - mmengine - INFO - Epoch(train) [3][2460/3842] lr: 7.3822e-02 eta: 4:11:36 time: 0.4945 data_time: 0.0196 memory: 10484 grad_norm: 0.2106 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8077 recall@top3: 0.8269 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4769 loss_action_cls: 0.0671 loss: 0.0671 2022/08/11 12:29:10 - mmengine - INFO - Epoch(train) [3][2480/3842] lr: 7.3803e-02 eta: 4:11:25 time: 0.5301 data_time: 0.0145 memory: 10484 grad_norm: 0.2089 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.7037 recall@top3: 0.6806 prec@top3: 0.4815 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0677 loss: 0.0677 2022/08/11 12:29:20 - mmengine - INFO - Epoch(train) [3][2500/3842] lr: 7.3783e-02 eta: 4:11:13 time: 0.5118 data_time: 0.0175 memory: 10484 grad_norm: 0.1914 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6667 recall@top3: 0.6111 prec@top3: 0.3889 recall@top5: 0.8333 prec@top5: 0.3000 loss_action_cls: 0.0647 loss: 0.0647 2022/08/11 12:29:30 - mmengine - INFO - Epoch(train) [3][2520/3842] lr: 7.3764e-02 eta: 4:11:00 time: 0.4898 data_time: 0.0181 memory: 10484 grad_norm: 0.2150 recall@thr=0.5: 0.7578 prec@thr=0.5: 0.9510 recall@top3: 0.8255 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.5647 loss_action_cls: 0.0678 loss: 0.0678 2022/08/11 12:29:40 - mmengine - INFO - Epoch(train) [3][2540/3842] lr: 7.3744e-02 eta: 4:10:48 time: 0.5150 data_time: 0.0166 memory: 10484 grad_norm: 0.2140 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.7063 recall@top3: 0.8532 prec@top3: 0.5397 recall@top5: 0.9127 prec@top5: 0.3619 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 12:29:50 - mmengine - INFO - Epoch(train) [3][2560/3842] lr: 7.3725e-02 eta: 4:10:35 time: 0.4874 data_time: 0.0167 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.5179 prec@thr=0.5: 0.7857 recall@top3: 0.7857 prec@top3: 0.7262 recall@top5: 0.9107 prec@top5: 0.5071 loss_action_cls: 0.0730 loss: 0.0730 2022/08/11 12:30:00 - mmengine - INFO - Epoch(train) [3][2580/3842] lr: 7.3705e-02 eta: 4:10:23 time: 0.4993 data_time: 0.0192 memory: 10484 grad_norm: 0.2036 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.7187 recall@top3: 0.7969 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.5250 loss_action_cls: 0.0674 loss: 0.0674 2022/08/11 12:30:11 - mmengine - INFO - Epoch(train) [3][2600/3842] lr: 7.3685e-02 eta: 4:10:13 time: 0.5516 data_time: 0.0186 memory: 10484 grad_norm: 0.2093 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7218 recall@top3: 0.7179 prec@top3: 0.6923 recall@top5: 0.8923 prec@top5: 0.5692 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 12:30:21 - mmengine - INFO - Epoch(train) [3][2620/3842] lr: 7.3664e-02 eta: 4:10:00 time: 0.4903 data_time: 0.0196 memory: 10484 grad_norm: 0.2092 recall@thr=0.5: 0.8178 prec@thr=0.5: 0.8506 recall@top3: 0.7900 prec@top3: 0.8222 recall@top5: 0.9583 prec@top5: 0.6267 loss_action_cls: 0.0647 loss: 0.0647 2022/08/11 12:30:31 - mmengine - INFO - Epoch(train) [3][2640/3842] lr: 7.3644e-02 eta: 4:09:48 time: 0.5112 data_time: 0.0152 memory: 10484 grad_norm: 0.2051 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6310 recall@top3: 0.5952 prec@top3: 0.6429 recall@top5: 0.7798 prec@top5: 0.5143 loss_action_cls: 0.0727 loss: 0.0727 2022/08/11 12:30:41 - mmengine - INFO - Epoch(train) [3][2660/3842] lr: 7.3624e-02 eta: 4:09:37 time: 0.5252 data_time: 0.0175 memory: 10484 grad_norm: 0.2093 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8725 recall@top3: 0.8235 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0676 loss: 0.0676 2022/08/11 12:30:53 - mmengine - INFO - Epoch(train) [3][2680/3842] lr: 7.3603e-02 eta: 4:09:29 time: 0.5800 data_time: 0.0187 memory: 10484 grad_norm: 0.2055 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.6780 recall@top3: 0.7348 prec@top3: 0.6515 recall@top5: 0.8712 prec@top5: 0.4818 loss_action_cls: 0.0639 loss: 0.0639 2022/08/11 12:31:04 - mmengine - INFO - Epoch(train) [3][2700/3842] lr: 7.3582e-02 eta: 4:09:18 time: 0.5254 data_time: 0.0233 memory: 10484 grad_norm: 0.2074 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7685 recall@top3: 0.8889 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0701 loss: 0.0701 2022/08/11 12:31:14 - mmengine - INFO - Epoch(train) [3][2720/3842] lr: 7.3561e-02 eta: 4:09:05 time: 0.4971 data_time: 0.0213 memory: 10484 grad_norm: 0.2136 recall@thr=0.5: 0.5637 prec@thr=0.5: 0.6618 recall@top3: 0.6765 prec@top3: 0.5294 recall@top5: 0.8824 prec@top5: 0.4118 loss_action_cls: 0.0736 loss: 0.0736 2022/08/11 12:31:24 - mmengine - INFO - Epoch(train) [3][2740/3842] lr: 7.3540e-02 eta: 4:08:54 time: 0.5202 data_time: 0.0142 memory: 10484 grad_norm: 0.2089 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.7368 recall@top3: 0.8465 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4211 loss_action_cls: 0.0681 loss: 0.0681 2022/08/11 12:31:34 - mmengine - INFO - Epoch(train) [3][2760/3842] lr: 7.3519e-02 eta: 4:08:43 time: 0.5245 data_time: 0.0193 memory: 10484 grad_norm: 0.2059 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8444 recall@top3: 0.8056 prec@top3: 0.7778 recall@top5: 0.8833 prec@top5: 0.5200 loss_action_cls: 0.0745 loss: 0.0745 2022/08/11 12:31:46 - mmengine - INFO - Epoch(train) [3][2780/3842] lr: 7.3497e-02 eta: 4:08:35 time: 0.5831 data_time: 0.0196 memory: 10484 grad_norm: 0.2015 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.8667 recall@top3: 0.6778 prec@top3: 0.4889 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0672 loss: 0.0672 2022/08/11 12:31:56 - mmengine - INFO - Epoch(train) [3][2800/3842] lr: 7.3476e-02 eta: 4:08:22 time: 0.4920 data_time: 0.0181 memory: 10484 grad_norm: 0.2119 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8854 recall@top3: 0.8958 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0643 loss: 0.0643 2022/08/11 12:32:06 - mmengine - INFO - Epoch(train) [3][2820/3842] lr: 7.3454e-02 eta: 4:08:10 time: 0.5114 data_time: 0.0171 memory: 10484 grad_norm: 0.2069 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8636 recall@top3: 0.8636 prec@top3: 0.7273 recall@top5: 0.9697 prec@top5: 0.5091 loss_action_cls: 0.0654 loss: 0.0654 2022/08/11 12:32:16 - mmengine - INFO - Epoch(train) [3][2840/3842] lr: 7.3432e-02 eta: 4:07:58 time: 0.5153 data_time: 0.0183 memory: 10484 grad_norm: 0.2129 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7949 recall@top3: 0.8077 prec@top3: 0.7179 recall@top5: 0.9487 prec@top5: 0.5077 loss_action_cls: 0.0589 loss: 0.0589 2022/08/11 12:32:26 - mmengine - INFO - Epoch(train) [3][2860/3842] lr: 7.3410e-02 eta: 4:07:45 time: 0.4900 data_time: 0.0183 memory: 10484 grad_norm: 0.2137 recall@thr=0.5: 0.4211 prec@thr=0.5: 0.6053 recall@top3: 0.6272 prec@top3: 0.5088 recall@top5: 0.8904 prec@top5: 0.4316 loss_action_cls: 0.0663 loss: 0.0663 2022/08/11 12:32:36 - mmengine - INFO - Epoch(train) [3][2880/3842] lr: 7.3388e-02 eta: 4:07:33 time: 0.5085 data_time: 0.0151 memory: 10484 grad_norm: 0.2116 recall@thr=0.5: 0.6638 prec@thr=0.5: 0.6580 recall@top3: 0.8017 prec@top3: 0.6552 recall@top5: 0.8994 prec@top5: 0.4552 loss_action_cls: 0.0706 loss: 0.0706 2022/08/11 12:32:46 - mmengine - INFO - Epoch(train) [3][2900/3842] lr: 7.3366e-02 eta: 4:07:20 time: 0.4894 data_time: 0.0170 memory: 10484 grad_norm: 0.2097 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7042 recall@top3: 0.7167 prec@top3: 0.7000 recall@top5: 0.8667 prec@top5: 0.5200 loss_action_cls: 0.0690 loss: 0.0690 2022/08/11 12:32:56 - mmengine - INFO - Epoch(train) [3][2920/3842] lr: 7.3343e-02 eta: 4:07:08 time: 0.5115 data_time: 0.0150 memory: 10484 grad_norm: 0.2071 recall@thr=0.5: 0.4928 prec@thr=0.5: 0.5580 recall@top3: 0.5942 prec@top3: 0.4928 recall@top5: 0.7899 prec@top5: 0.4000 loss_action_cls: 0.0729 loss: 0.0729 2022/08/11 12:33:06 - mmengine - INFO - Epoch(train) [3][2940/3842] lr: 7.3321e-02 eta: 4:06:56 time: 0.4902 data_time: 0.0170 memory: 10484 grad_norm: 0.2050 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.5556 recall@top3: 0.7361 prec@top3: 0.4167 recall@top5: 1.0000 prec@top5: 0.3333 loss_action_cls: 0.0666 loss: 0.0666 2022/08/11 12:33:17 - mmengine - INFO - Epoch(train) [3][2960/3842] lr: 7.3298e-02 eta: 4:06:44 time: 0.5244 data_time: 0.0138 memory: 10484 grad_norm: 0.2131 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6250 recall@top3: 0.8542 prec@top3: 0.5625 recall@top5: 0.8958 prec@top5: 0.3625 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 12:33:29 - mmengine - INFO - Epoch(train) [3][2980/3842] lr: 7.3275e-02 eta: 4:06:39 time: 0.6303 data_time: 0.0208 memory: 10484 grad_norm: 0.2104 recall@thr=0.5: 0.8294 prec@thr=0.5: 0.9265 recall@top3: 0.8324 prec@top3: 0.8235 recall@top5: 0.9353 prec@top5: 0.5882 loss_action_cls: 0.0656 loss: 0.0656 2022/08/11 12:33:39 - mmengine - INFO - Epoch(train) [3][3000/3842] lr: 7.3252e-02 eta: 4:06:26 time: 0.4907 data_time: 0.0187 memory: 10484 grad_norm: 0.2187 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.5682 recall@top3: 0.7273 prec@top3: 0.5455 recall@top5: 0.8939 prec@top5: 0.4182 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 12:33:49 - mmengine - INFO - Epoch(train) [3][3020/3842] lr: 7.3229e-02 eta: 4:06:14 time: 0.5160 data_time: 0.0157 memory: 10484 grad_norm: 0.2110 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.9231 recall@top3: 0.8590 prec@top3: 0.7179 recall@top5: 0.9359 prec@top5: 0.4769 loss_action_cls: 0.0685 loss: 0.0685 2022/08/11 12:34:04 - mmengine - INFO - Epoch(train) [3][3040/3842] lr: 7.3205e-02 eta: 4:06:13 time: 0.7048 data_time: 0.0197 memory: 10484 grad_norm: 0.2129 recall@thr=0.5: 0.7148 prec@thr=0.5: 0.7130 recall@top3: 0.7630 prec@top3: 0.3519 recall@top5: 0.8667 prec@top5: 0.2667 loss_action_cls: 0.0762 loss: 0.0762 2022/08/11 12:34:18 - mmengine - INFO - Epoch(train) [3][3060/3842] lr: 7.3182e-02 eta: 4:06:12 time: 0.7225 data_time: 0.0179 memory: 10484 grad_norm: 0.2129 recall@thr=0.5: 0.5179 prec@thr=0.5: 0.5952 recall@top3: 0.6071 prec@top3: 0.4762 recall@top5: 0.9405 prec@top5: 0.4143 loss_action_cls: 0.0673 loss: 0.0673 2022/08/11 12:34:28 - mmengine - INFO - Epoch(train) [3][3080/3842] lr: 7.3158e-02 eta: 4:06:00 time: 0.5206 data_time: 0.0182 memory: 10484 grad_norm: 0.2110 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.9231 recall@top3: 0.8141 prec@top3: 0.6410 recall@top5: 0.9808 prec@top5: 0.4923 loss_action_cls: 0.0725 loss: 0.0725 2022/08/11 12:34:43 - mmengine - INFO - Epoch(train) [3][3100/3842] lr: 7.3134e-02 eta: 4:05:58 time: 0.6995 data_time: 0.0216 memory: 10484 grad_norm: 0.2234 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.8590 recall@top3: 0.7179 prec@top3: 0.6667 recall@top5: 0.8846 prec@top5: 0.5077 loss_action_cls: 0.0643 loss: 0.0643 2022/08/11 12:34:53 - mmengine - INFO - Epoch(train) [3][3120/3842] lr: 7.3110e-02 eta: 4:05:47 time: 0.5277 data_time: 0.0320 memory: 10484 grad_norm: 0.2154 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.6282 recall@top3: 0.7564 prec@top3: 0.5385 recall@top5: 0.8526 prec@top5: 0.3846 loss_action_cls: 0.0741 loss: 0.0741 2022/08/11 12:35:03 - mmengine - INFO - Epoch(train) [3][3140/3842] lr: 7.3086e-02 eta: 4:05:36 time: 0.5236 data_time: 0.0164 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.6667 recall@top3: 0.8718 prec@top3: 0.5385 recall@top5: 0.9231 prec@top5: 0.3538 loss_action_cls: 0.0636 loss: 0.0636 2022/08/11 12:35:14 - mmengine - INFO - Epoch(train) [3][3160/3842] lr: 7.3062e-02 eta: 4:05:25 time: 0.5189 data_time: 0.0198 memory: 10484 grad_norm: 0.2104 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6062 recall@top3: 0.6229 prec@top3: 0.6667 recall@top5: 0.9229 prec@top5: 0.6250 loss_action_cls: 0.0713 loss: 0.0713 2022/08/11 12:35:24 - mmengine - INFO - Epoch(train) [3][3180/3842] lr: 7.3038e-02 eta: 4:05:12 time: 0.4990 data_time: 0.0185 memory: 10484 grad_norm: 0.2162 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7315 recall@top3: 0.9167 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0626 loss: 0.0626 2022/08/11 12:35:35 - mmengine - INFO - Epoch(train) [3][3200/3842] lr: 7.3013e-02 eta: 4:05:02 time: 0.5482 data_time: 0.0150 memory: 10484 grad_norm: 0.2129 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.6204 recall@top3: 0.8657 prec@top3: 0.6852 recall@top5: 0.9861 prec@top5: 0.4889 loss_action_cls: 0.0652 loss: 0.0652 2022/08/11 12:35:45 - mmengine - INFO - Epoch(train) [3][3220/3842] lr: 7.2988e-02 eta: 4:04:50 time: 0.4958 data_time: 0.0229 memory: 10484 grad_norm: 0.2058 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8778 recall@top3: 0.9000 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0672 loss: 0.0672 2022/08/11 12:35:55 - mmengine - INFO - Epoch(train) [3][3240/3842] lr: 7.2964e-02 eta: 4:04:38 time: 0.5103 data_time: 0.0159 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7451 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 0.9853 prec@top5: 0.4588 loss_action_cls: 0.0632 loss: 0.0632 2022/08/11 12:36:06 - mmengine - INFO - Epoch(train) [3][3260/3842] lr: 7.2939e-02 eta: 4:04:28 time: 0.5463 data_time: 0.0214 memory: 10484 grad_norm: 0.2120 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8480 recall@top3: 0.8431 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0686 loss: 0.0686 2022/08/11 12:36:16 - mmengine - INFO - Epoch(train) [3][3280/3842] lr: 7.2913e-02 eta: 4:04:15 time: 0.4940 data_time: 0.0182 memory: 10484 grad_norm: 0.2015 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.6882 recall@top3: 0.7451 prec@top3: 0.6863 recall@top5: 0.8775 prec@top5: 0.4941 loss_action_cls: 0.0667 loss: 0.0667 2022/08/11 12:36:28 - mmengine - INFO - Epoch(train) [3][3300/3842] lr: 7.2888e-02 eta: 4:04:07 time: 0.5907 data_time: 0.0170 memory: 10484 grad_norm: 0.2105 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.7889 recall@top3: 0.8078 prec@top3: 0.7333 recall@top5: 0.8900 prec@top5: 0.5067 loss_action_cls: 0.0656 loss: 0.0656 2022/08/11 12:36:36 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 12:36:38 - mmengine - INFO - Epoch(train) [3][3320/3842] lr: 7.2863e-02 eta: 4:03:56 time: 0.5168 data_time: 0.0196 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7719 recall@top3: 0.7246 prec@top3: 0.6491 recall@top5: 0.9632 prec@top5: 0.5263 loss_action_cls: 0.0677 loss: 0.0677 2022/08/11 12:36:49 - mmengine - INFO - Epoch(train) [3][3340/3842] lr: 7.2837e-02 eta: 4:03:46 time: 0.5491 data_time: 0.0170 memory: 10484 grad_norm: 0.2110 recall@thr=0.5: 0.5083 prec@thr=0.5: 0.5917 recall@top3: 0.6417 prec@top3: 0.4667 recall@top5: 0.8917 prec@top5: 0.4000 loss_action_cls: 0.0674 loss: 0.0674 2022/08/11 12:37:00 - mmengine - INFO - Epoch(train) [3][3360/3842] lr: 7.2811e-02 eta: 4:03:35 time: 0.5334 data_time: 0.0227 memory: 10484 grad_norm: 0.2069 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.7949 recall@top3: 0.7436 prec@top3: 0.5641 recall@top5: 0.9359 prec@top5: 0.4462 loss_action_cls: 0.0696 loss: 0.0696 2022/08/11 12:37:10 - mmengine - INFO - Epoch(train) [3][3380/3842] lr: 7.2786e-02 eta: 4:03:24 time: 0.5284 data_time: 0.0236 memory: 10484 grad_norm: 0.2201 recall@thr=0.5: 0.6873 prec@thr=0.5: 0.7549 recall@top3: 0.8167 prec@top3: 0.7451 recall@top5: 0.9647 prec@top5: 0.5412 loss_action_cls: 0.0657 loss: 0.0657 2022/08/11 12:37:21 - mmengine - INFO - Epoch(train) [3][3400/3842] lr: 7.2760e-02 eta: 4:03:13 time: 0.5357 data_time: 0.0183 memory: 10484 grad_norm: 0.2170 recall@thr=0.5: 0.6278 prec@thr=0.5: 0.7056 recall@top3: 0.7611 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.4133 loss_action_cls: 0.0685 loss: 0.0685 2022/08/11 12:37:31 - mmengine - INFO - Epoch(train) [3][3420/3842] lr: 7.2733e-02 eta: 4:03:02 time: 0.5158 data_time: 0.0209 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.6143 prec@thr=0.5: 0.8810 recall@top3: 0.8571 prec@top3: 0.7619 recall@top5: 0.9714 prec@top5: 0.5429 loss_action_cls: 0.0689 loss: 0.0689 2022/08/11 12:37:42 - mmengine - INFO - Epoch(train) [3][3440/3842] lr: 7.2707e-02 eta: 4:02:51 time: 0.5328 data_time: 0.0206 memory: 10484 grad_norm: 0.2278 recall@thr=0.5: 0.7614 prec@thr=0.5: 0.5038 recall@top3: 0.8106 prec@top3: 0.4394 recall@top5: 0.9091 prec@top5: 0.3273 loss_action_cls: 0.0699 loss: 0.0699 2022/08/11 12:37:52 - mmengine - INFO - Epoch(train) [3][3460/3842] lr: 7.2681e-02 eta: 4:02:40 time: 0.5229 data_time: 0.0201 memory: 10484 grad_norm: 0.2117 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6471 recall@top3: 0.7157 prec@top3: 0.6863 recall@top5: 0.8431 prec@top5: 0.4824 loss_action_cls: 0.0653 loss: 0.0653 2022/08/11 12:38:03 - mmengine - INFO - Epoch(train) [3][3480/3842] lr: 7.2654e-02 eta: 4:02:29 time: 0.5241 data_time: 0.0238 memory: 10484 grad_norm: 0.2101 recall@thr=0.5: 0.6185 prec@thr=0.5: 0.9444 recall@top3: 0.8537 prec@top3: 0.7593 recall@top5: 0.9315 prec@top5: 0.5222 loss_action_cls: 0.0644 loss: 0.0644 2022/08/11 12:38:13 - mmengine - INFO - Epoch(train) [3][3500/3842] lr: 7.2627e-02 eta: 4:02:17 time: 0.5195 data_time: 0.0186 memory: 10484 grad_norm: 0.2158 recall@thr=0.5: 0.7979 prec@thr=0.5: 0.7042 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4875 loss_action_cls: 0.0678 loss: 0.0678 2022/08/11 12:38:24 - mmengine - INFO - Epoch(train) [3][3520/3842] lr: 7.2600e-02 eta: 4:02:07 time: 0.5312 data_time: 0.0190 memory: 10484 grad_norm: 0.2141 recall@thr=0.5: 0.3843 prec@thr=0.5: 0.6019 recall@top3: 0.6759 prec@top3: 0.5741 recall@top5: 0.8519 prec@top5: 0.4556 loss_action_cls: 0.0758 loss: 0.0758 2022/08/11 12:38:34 - mmengine - INFO - Epoch(train) [3][3540/3842] lr: 7.2573e-02 eta: 4:01:55 time: 0.5177 data_time: 0.0167 memory: 10484 grad_norm: 0.2229 recall@thr=0.5: 0.4800 prec@thr=0.5: 0.5444 recall@top3: 0.7156 prec@top3: 0.5778 recall@top5: 0.8378 prec@top5: 0.4267 loss_action_cls: 0.0745 loss: 0.0745 2022/08/11 12:38:45 - mmengine - INFO - Epoch(train) [3][3560/3842] lr: 7.2546e-02 eta: 4:01:44 time: 0.5235 data_time: 0.0188 memory: 10484 grad_norm: 0.2066 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.6923 recall@top3: 0.8526 prec@top3: 0.6923 recall@top5: 0.9231 prec@top5: 0.4615 loss_action_cls: 0.0701 loss: 0.0701 2022/08/11 12:38:54 - mmengine - INFO - Epoch(train) [3][3580/3842] lr: 7.2519e-02 eta: 4:01:31 time: 0.4915 data_time: 0.0173 memory: 10484 grad_norm: 0.2139 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8646 recall@top3: 0.8021 prec@top3: 0.5625 recall@top5: 0.9583 prec@top5: 0.4375 loss_action_cls: 0.0697 loss: 0.0697 2022/08/11 12:39:05 - mmengine - INFO - Epoch(train) [3][3600/3842] lr: 7.2491e-02 eta: 4:01:20 time: 0.5113 data_time: 0.0172 memory: 10484 grad_norm: 0.2154 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.9167 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0586 loss: 0.0586 2022/08/11 12:39:15 - mmengine - INFO - Epoch(train) [3][3620/3842] lr: 7.2464e-02 eta: 4:01:07 time: 0.4983 data_time: 0.0193 memory: 10484 grad_norm: 0.2074 recall@thr=0.5: 0.6623 prec@thr=0.5: 0.8596 recall@top3: 0.7675 prec@top3: 0.5088 recall@top5: 0.9035 prec@top5: 0.3789 loss_action_cls: 0.0666 loss: 0.0666 2022/08/11 12:39:25 - mmengine - INFO - Epoch(train) [3][3640/3842] lr: 7.2436e-02 eta: 4:00:55 time: 0.5095 data_time: 0.0143 memory: 10484 grad_norm: 0.2086 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8611 recall@top3: 0.9167 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.3667 loss_action_cls: 0.0690 loss: 0.0690 2022/08/11 12:39:35 - mmengine - INFO - Epoch(train) [3][3660/3842] lr: 7.2408e-02 eta: 4:00:43 time: 0.5034 data_time: 0.0185 memory: 10484 grad_norm: 0.2063 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.8141 recall@top3: 0.8846 prec@top3: 0.7308 recall@top5: 0.9744 prec@top5: 0.4846 loss_action_cls: 0.0625 loss: 0.0625 2022/08/11 12:39:45 - mmengine - INFO - Epoch(train) [3][3680/3842] lr: 7.2380e-02 eta: 4:00:32 time: 0.5177 data_time: 0.0256 memory: 10484 grad_norm: 0.2136 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.6786 recall@top3: 0.8214 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0678 loss: 0.0678 2022/08/11 12:39:56 - mmengine - INFO - Epoch(train) [3][3700/3842] lr: 7.2352e-02 eta: 4:00:20 time: 0.5194 data_time: 0.0175 memory: 10484 grad_norm: 0.2159 recall@thr=0.5: 0.7801 prec@thr=0.5: 0.8205 recall@top3: 0.8090 prec@top3: 0.6667 recall@top5: 0.9615 prec@top5: 0.5077 loss_action_cls: 0.0637 loss: 0.0637 2022/08/11 12:40:06 - mmengine - INFO - Epoch(train) [3][3720/3842] lr: 7.2323e-02 eta: 4:00:10 time: 0.5353 data_time: 0.0180 memory: 10484 grad_norm: 0.2173 recall@thr=0.5: 0.5528 prec@thr=0.5: 0.6056 recall@top3: 0.7778 prec@top3: 0.6778 recall@top5: 0.9250 prec@top5: 0.5133 loss_action_cls: 0.0725 loss: 0.0725 2022/08/11 12:40:16 - mmengine - INFO - Epoch(train) [3][3740/3842] lr: 7.2295e-02 eta: 3:59:57 time: 0.4911 data_time: 0.0206 memory: 10484 grad_norm: 0.2146 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7222 recall@top3: 0.7315 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0636 loss: 0.0636 2022/08/11 12:40:26 - mmengine - INFO - Epoch(train) [3][3760/3842] lr: 7.2266e-02 eta: 3:59:46 time: 0.5133 data_time: 0.0155 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 0.6324 prec@thr=0.5: 0.7157 recall@top3: 0.8235 prec@top3: 0.7255 recall@top5: 0.9853 prec@top5: 0.5529 loss_action_cls: 0.0621 loss: 0.0621 2022/08/11 12:40:39 - mmengine - INFO - Epoch(train) [3][3780/3842] lr: 7.2237e-02 eta: 3:59:38 time: 0.6089 data_time: 0.1256 memory: 10484 grad_norm: 0.2177 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.5000 recall@top3: 0.7583 prec@top3: 0.5000 recall@top5: 0.8167 prec@top5: 0.3500 loss_action_cls: 0.0710 loss: 0.0710 2022/08/11 12:40:49 - mmengine - INFO - Epoch(train) [3][3800/3842] lr: 7.2208e-02 eta: 3:59:27 time: 0.5259 data_time: 0.0127 memory: 10484 grad_norm: 0.2220 recall@thr=0.5: 0.5867 prec@thr=0.5: 0.8583 recall@top3: 0.6633 prec@top3: 0.6167 recall@top5: 0.8900 prec@top5: 0.5000 loss_action_cls: 0.0663 loss: 0.0663 2022/08/11 12:40:59 - mmengine - INFO - Epoch(train) [3][3820/3842] lr: 7.2179e-02 eta: 3:59:16 time: 0.5191 data_time: 0.0173 memory: 10484 grad_norm: 0.2038 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7875 recall@top3: 0.8167 prec@top3: 0.7333 recall@top5: 0.9000 prec@top5: 0.4800 loss_action_cls: 0.0668 loss: 0.0668 2022/08/11 12:41:09 - mmengine - INFO - Epoch(train) [3][3840/3842] lr: 7.2150e-02 eta: 3:59:03 time: 0.4871 data_time: 0.0195 memory: 10484 grad_norm: 0.2031 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.9038 recall@top3: 0.7949 prec@top3: 0.7179 recall@top5: 0.8397 prec@top5: 0.4615 loss_action_cls: 0.0626 loss: 0.0626 2022/08/11 12:41:10 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 12:41:10 - mmengine - INFO - Epoch(train) [3][3842/3842] lr: 7.2147e-02 eta: 3:59:03 time: 0.4704 data_time: 0.0149 memory: 10484 grad_norm: 0.2218 recall@thr=0.5: 0.7000 prec@thr=0.5: 1.0000 recall@top3: 0.8000 prec@top3: 0.4000 recall@top5: 1.0000 prec@top5: 0.3200 loss_action_cls: 0.0652 loss: 0.0652 2022/08/11 12:41:10 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/11 12:41:17 - mmengine - INFO - Epoch(val) [3][20/6282] eta: 0:06:05 time: 0.0584 data_time: 0.0171 memory: 703 2022/08/11 12:41:17 - mmengine - INFO - Epoch(val) [3][40/6282] eta: 0:04:21 time: 0.0419 data_time: 0.0027 memory: 703 2022/08/11 12:41:18 - mmengine - INFO - Epoch(val) [3][60/6282] eta: 0:04:19 time: 0.0418 data_time: 0.0025 memory: 703 2022/08/11 12:41:19 - mmengine - INFO - Epoch(val) [3][80/6282] eta: 0:04:57 time: 0.0479 data_time: 0.0044 memory: 703 2022/08/11 12:41:20 - mmengine - INFO - Epoch(val) [3][100/6282] eta: 0:04:35 time: 0.0446 data_time: 0.0035 memory: 703 2022/08/11 12:41:21 - mmengine - INFO - Epoch(val) [3][120/6282] eta: 0:05:20 time: 0.0520 data_time: 0.0035 memory: 809 2022/08/11 12:41:22 - mmengine - INFO - Epoch(val) [3][140/6282] eta: 0:05:30 time: 0.0537 data_time: 0.0030 memory: 809 2022/08/11 12:41:23 - mmengine - INFO - Epoch(val) [3][160/6282] eta: 0:05:30 time: 0.0541 data_time: 0.0033 memory: 809 2022/08/11 12:41:29 - mmengine - INFO - Epoch(val) [3][180/6282] eta: 0:28:01 time: 0.2756 data_time: 0.2216 memory: 809 2022/08/11 12:41:30 - mmengine - INFO - Epoch(val) [3][200/6282] eta: 0:05:33 time: 0.0549 data_time: 0.0033 memory: 809 2022/08/11 12:41:31 - mmengine - INFO - Epoch(val) [3][220/6282] eta: 0:04:57 time: 0.0491 data_time: 0.0043 memory: 738 2022/08/11 12:41:32 - mmengine - INFO - Epoch(val) [3][240/6282] eta: 0:05:36 time: 0.0556 data_time: 0.0050 memory: 738 2022/08/11 12:41:33 - mmengine - INFO - Epoch(val) [3][260/6282] eta: 0:05:45 time: 0.0574 data_time: 0.0052 memory: 738 2022/08/11 12:41:34 - mmengine - INFO - Epoch(val) [3][280/6282] eta: 0:05:09 time: 0.0515 data_time: 0.0045 memory: 738 2022/08/11 12:41:35 - mmengine - INFO - Epoch(val) [3][300/6282] eta: 0:05:07 time: 0.0514 data_time: 0.0033 memory: 809 2022/08/11 12:41:37 - mmengine - INFO - Epoch(val) [3][320/6282] eta: 0:08:23 time: 0.0844 data_time: 0.0039 memory: 809 2022/08/11 12:41:38 - mmengine - INFO - Epoch(val) [3][340/6282] eta: 0:05:47 time: 0.0586 data_time: 0.0042 memory: 809 2022/08/11 12:41:39 - mmengine - INFO - Epoch(val) [3][360/6282] eta: 0:06:23 time: 0.0648 data_time: 0.0067 memory: 809 2022/08/11 12:41:43 - mmengine - INFO - Epoch(val) [3][380/6282] eta: 0:20:15 time: 0.2060 data_time: 0.1421 memory: 809 2022/08/11 12:41:45 - mmengine - INFO - Epoch(val) [3][400/6282] eta: 0:05:58 time: 0.0610 data_time: 0.0070 memory: 809 2022/08/11 12:41:46 - mmengine - INFO - Epoch(val) [3][420/6282] eta: 0:05:45 time: 0.0589 data_time: 0.0068 memory: 743 2022/08/11 12:41:47 - mmengine - INFO - Epoch(val) [3][440/6282] eta: 0:07:31 time: 0.0773 data_time: 0.0039 memory: 743 2022/08/11 12:41:49 - mmengine - INFO - Epoch(val) [3][460/6282] eta: 0:05:21 time: 0.0553 data_time: 0.0057 memory: 743 2022/08/11 12:41:50 - mmengine - INFO - Epoch(val) [3][480/6282] eta: 0:05:25 time: 0.0561 data_time: 0.0061 memory: 743 2022/08/11 12:41:51 - mmengine - INFO - Epoch(val) [3][500/6282] eta: 0:05:41 time: 0.0591 data_time: 0.0056 memory: 743 2022/08/11 12:41:52 - mmengine - INFO - Epoch(val) [3][520/6282] eta: 0:05:17 time: 0.0552 data_time: 0.0047 memory: 738 2022/08/11 12:41:53 - mmengine - INFO - Epoch(val) [3][540/6282] eta: 0:05:05 time: 0.0531 data_time: 0.0053 memory: 738 2022/08/11 12:41:54 - mmengine - INFO - Epoch(val) [3][560/6282] eta: 0:04:36 time: 0.0484 data_time: 0.0034 memory: 738 2022/08/11 12:41:55 - mmengine - INFO - Epoch(val) [3][580/6282] eta: 0:04:19 time: 0.0455 data_time: 0.0039 memory: 738 2022/08/11 12:41:56 - mmengine - INFO - Epoch(val) [3][600/6282] eta: 0:04:16 time: 0.0452 data_time: 0.0033 memory: 738 2022/08/11 12:41:57 - mmengine - INFO - Epoch(val) [3][620/6282] eta: 0:04:15 time: 0.0451 data_time: 0.0033 memory: 738 2022/08/11 12:41:58 - mmengine - INFO - Epoch(val) [3][640/6282] eta: 0:04:07 time: 0.0438 data_time: 0.0034 memory: 733 2022/08/11 12:41:59 - mmengine - INFO - Epoch(val) [3][660/6282] eta: 0:06:00 time: 0.0641 data_time: 0.0029 memory: 733 2022/08/11 12:42:00 - mmengine - INFO - Epoch(val) [3][680/6282] eta: 0:04:00 time: 0.0429 data_time: 0.0028 memory: 733 2022/08/11 12:42:01 - mmengine - INFO - Epoch(val) [3][700/6282] eta: 0:04:06 time: 0.0442 data_time: 0.0032 memory: 733 2022/08/11 12:42:02 - mmengine - INFO - Epoch(val) [3][720/6282] eta: 0:08:11 time: 0.0883 data_time: 0.0359 memory: 809 2022/08/11 12:42:10 - mmengine - INFO - Epoch(val) [3][740/6282] eta: 0:36:43 time: 0.3976 data_time: 0.3262 memory: 809 2022/08/11 12:42:16 - mmengine - INFO - Epoch(val) [3][760/6282] eta: 0:27:02 time: 0.2939 data_time: 0.2237 memory: 809 2022/08/11 12:42:19 - mmengine - INFO - Epoch(val) [3][780/6282] eta: 0:12:10 time: 0.1327 data_time: 0.0792 memory: 809 2022/08/11 12:42:25 - mmengine - INFO - Epoch(val) [3][800/6282] eta: 0:25:57 time: 0.2841 data_time: 0.2264 memory: 809 2022/08/11 12:42:26 - mmengine - INFO - Epoch(val) [3][820/6282] eta: 0:06:18 time: 0.0693 data_time: 0.0222 memory: 809 2022/08/11 12:42:27 - mmengine - INFO - Epoch(val) [3][840/6282] eta: 0:03:52 time: 0.0426 data_time: 0.0030 memory: 738 2022/08/11 12:42:28 - mmengine - INFO - Epoch(val) [3][860/6282] eta: 0:04:04 time: 0.0451 data_time: 0.0034 memory: 738 2022/08/11 12:42:29 - mmengine - INFO - Epoch(val) [3][880/6282] eta: 0:04:26 time: 0.0493 data_time: 0.0038 memory: 738 2022/08/11 12:42:30 - mmengine - INFO - Epoch(val) [3][900/6282] eta: 0:04:29 time: 0.0500 data_time: 0.0039 memory: 738 2022/08/11 12:42:31 - mmengine - INFO - Epoch(val) [3][920/6282] eta: 0:05:00 time: 0.0561 data_time: 0.0051 memory: 738 2022/08/11 12:42:32 - mmengine - INFO - Epoch(val) [3][940/6282] eta: 0:04:41 time: 0.0527 data_time: 0.0062 memory: 703 2022/08/11 12:42:33 - mmengine - INFO - Epoch(val) [3][960/6282] eta: 0:04:41 time: 0.0529 data_time: 0.0052 memory: 703 2022/08/11 12:42:34 - mmengine - INFO - Epoch(val) [3][980/6282] eta: 0:04:58 time: 0.0562 data_time: 0.0052 memory: 703 2022/08/11 12:42:35 - mmengine - INFO - Epoch(val) [3][1000/6282] eta: 0:04:55 time: 0.0559 data_time: 0.0047 memory: 703 2022/08/11 12:42:36 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:04:45 time: 0.0542 data_time: 0.0046 memory: 738 2022/08/11 12:42:37 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:04:58 time: 0.0570 data_time: 0.0060 memory: 738 2022/08/11 12:42:39 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:04:59 time: 0.0573 data_time: 0.0068 memory: 738 2022/08/11 12:42:40 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:05:01 time: 0.0579 data_time: 0.0057 memory: 738 2022/08/11 12:42:41 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:06:57 time: 0.0806 data_time: 0.0050 memory: 738 2022/08/11 12:42:42 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:04:53 time: 0.0568 data_time: 0.0052 memory: 738 2022/08/11 12:42:44 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:04:44 time: 0.0554 data_time: 0.0051 memory: 738 2022/08/11 12:42:45 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:04:53 time: 0.0573 data_time: 0.0059 memory: 738 2022/08/11 12:42:46 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:04:31 time: 0.0532 data_time: 0.0042 memory: 738 2022/08/11 12:42:47 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:04:36 time: 0.0545 data_time: 0.0044 memory: 738 2022/08/11 12:42:48 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:04:36 time: 0.0546 data_time: 0.0041 memory: 738 2022/08/11 12:42:52 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:14:54 time: 0.1775 data_time: 0.1115 memory: 809 2022/08/11 12:42:54 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:11:52 time: 0.1419 data_time: 0.0837 memory: 809 2022/08/11 12:42:58 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:15:56 time: 0.1912 data_time: 0.1320 memory: 809 2022/08/11 12:43:01 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:13:06 time: 0.1579 data_time: 0.0801 memory: 809 2022/08/11 12:43:05 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:14:15 time: 0.1725 data_time: 0.1129 memory: 809 2022/08/11 12:43:08 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:11:47 time: 0.1432 data_time: 0.0867 memory: 809 2022/08/11 12:43:12 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:15:39 time: 0.1908 data_time: 0.1322 memory: 809 2022/08/11 12:43:14 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:11:08 time: 0.1363 data_time: 0.0756 memory: 809 2022/08/11 12:43:18 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:14:08 time: 0.1738 data_time: 0.1185 memory: 809 2022/08/11 12:43:21 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:13:21 time: 0.1649 data_time: 0.0879 memory: 809 2022/08/11 12:43:22 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:05:44 time: 0.0711 data_time: 0.0102 memory: 809 2022/08/11 12:43:24 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:04:59 time: 0.0621 data_time: 0.0050 memory: 809 2022/08/11 12:43:25 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:05:18 time: 0.0663 data_time: 0.0062 memory: 809 2022/08/11 12:43:26 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:05:19 time: 0.0668 data_time: 0.0049 memory: 809 2022/08/11 12:43:28 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:05:20 time: 0.0673 data_time: 0.0054 memory: 911 2022/08/11 12:43:29 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:06:34 time: 0.0832 data_time: 0.0076 memory: 911 2022/08/11 12:43:31 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:06:24 time: 0.0815 data_time: 0.0066 memory: 911 2022/08/11 12:43:33 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:06:08 time: 0.0784 data_time: 0.0056 memory: 911 2022/08/11 12:43:34 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:05:59 time: 0.0767 data_time: 0.0053 memory: 911 2022/08/11 12:43:36 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:06:03 time: 0.0780 data_time: 0.0067 memory: 911 2022/08/11 12:43:37 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:04:58 time: 0.0643 data_time: 0.0045 memory: 809 2022/08/11 12:43:38 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:04:53 time: 0.0635 data_time: 0.0056 memory: 809 2022/08/11 12:43:40 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:04:44 time: 0.0619 data_time: 0.0044 memory: 809 2022/08/11 12:43:41 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:07:07 time: 0.0933 data_time: 0.0051 memory: 809 2022/08/11 12:43:43 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:04:35 time: 0.0605 data_time: 0.0048 memory: 809 2022/08/11 12:43:44 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:04:35 time: 0.0606 data_time: 0.0045 memory: 809 2022/08/11 12:43:45 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:04:37 time: 0.0613 data_time: 0.0045 memory: 809 2022/08/11 12:43:46 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:04:37 time: 0.0617 data_time: 0.0054 memory: 809 2022/08/11 12:43:48 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:04:46 time: 0.0639 data_time: 0.0052 memory: 809 2022/08/11 12:43:49 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:04:34 time: 0.0615 data_time: 0.0045 memory: 809 2022/08/11 12:43:50 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:05:56 time: 0.0803 data_time: 0.0223 memory: 809 2022/08/11 12:43:55 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:18:16 time: 0.2480 data_time: 0.1893 memory: 809 2022/08/11 12:44:02 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:24:58 time: 0.3403 data_time: 0.2869 memory: 809 2022/08/11 12:44:04 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:07:47 time: 0.1067 data_time: 0.0542 memory: 809 2022/08/11 12:44:07 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:10:11 time: 0.1401 data_time: 0.0870 memory: 809 2022/08/11 12:44:12 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:19:11 time: 0.2653 data_time: 0.2131 memory: 809 2022/08/11 12:44:13 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:03:05 time: 0.0429 data_time: 0.0026 memory: 743 2022/08/11 12:44:14 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:03:06 time: 0.0433 data_time: 0.0032 memory: 743 2022/08/11 12:44:15 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:03:05 time: 0.0433 data_time: 0.0029 memory: 743 2022/08/11 12:44:16 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:03:10 time: 0.0446 data_time: 0.0030 memory: 743 2022/08/11 12:44:17 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:03:23 time: 0.0480 data_time: 0.0031 memory: 743 2022/08/11 12:44:18 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:03:27 time: 0.0492 data_time: 0.0042 memory: 743 2022/08/11 12:44:19 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:04:57 time: 0.0709 data_time: 0.0287 memory: 743 2022/08/11 12:44:21 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:06:16 time: 0.0900 data_time: 0.0498 memory: 743 2022/08/11 12:44:22 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:02:59 time: 0.0432 data_time: 0.0022 memory: 743 2022/08/11 12:44:23 - mmengine - INFO - Epoch(val) [3][2140/6282] eta: 0:03:11 time: 0.0462 data_time: 0.0031 memory: 743 2022/08/11 12:44:24 - mmengine - INFO - Epoch(val) [3][2160/6282] eta: 0:03:13 time: 0.0470 data_time: 0.0032 memory: 738 2022/08/11 12:44:25 - mmengine - INFO - Epoch(val) [3][2180/6282] eta: 0:03:32 time: 0.0518 data_time: 0.0048 memory: 738 2022/08/11 12:44:26 - mmengine - INFO - Epoch(val) [3][2200/6282] eta: 0:03:52 time: 0.0570 data_time: 0.0059 memory: 738 2022/08/11 12:44:27 - mmengine - INFO - Epoch(val) [3][2220/6282] eta: 0:03:47 time: 0.0561 data_time: 0.0043 memory: 738 2022/08/11 12:44:28 - mmengine - INFO - Epoch(val) [3][2240/6282] eta: 0:03:40 time: 0.0545 data_time: 0.0045 memory: 738 2022/08/11 12:44:29 - mmengine - INFO - Epoch(val) [3][2260/6282] eta: 0:03:39 time: 0.0545 data_time: 0.0051 memory: 743 2022/08/11 12:44:31 - mmengine - INFO - Epoch(val) [3][2280/6282] eta: 0:04:27 time: 0.0669 data_time: 0.0046 memory: 743 2022/08/11 12:44:32 - mmengine - INFO - Epoch(val) [3][2300/6282] eta: 0:03:20 time: 0.0503 data_time: 0.0039 memory: 743 2022/08/11 12:44:33 - mmengine - INFO - Epoch(val) [3][2320/6282] eta: 0:03:01 time: 0.0458 data_time: 0.0037 memory: 743 2022/08/11 12:44:33 - mmengine - INFO - Epoch(val) [3][2340/6282] eta: 0:02:55 time: 0.0444 data_time: 0.0027 memory: 743 2022/08/11 12:44:34 - mmengine - INFO - Epoch(val) [3][2360/6282] eta: 0:02:48 time: 0.0429 data_time: 0.0028 memory: 738 2022/08/11 12:44:35 - mmengine - INFO - Epoch(val) [3][2380/6282] eta: 0:02:53 time: 0.0446 data_time: 0.0034 memory: 738 2022/08/11 12:44:36 - mmengine - INFO - Epoch(val) [3][2400/6282] eta: 0:02:50 time: 0.0438 data_time: 0.0031 memory: 738 2022/08/11 12:44:37 - mmengine - INFO - Epoch(val) [3][2420/6282] eta: 0:03:03 time: 0.0474 data_time: 0.0042 memory: 738 2022/08/11 12:44:38 - mmengine - INFO - Epoch(val) [3][2440/6282] eta: 0:03:22 time: 0.0528 data_time: 0.0047 memory: 738 2022/08/11 12:44:39 - mmengine - INFO - Epoch(val) [3][2460/6282] eta: 0:04:07 time: 0.0648 data_time: 0.0053 memory: 809 2022/08/11 12:44:45 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:19:14 time: 0.3035 data_time: 0.2452 memory: 809 2022/08/11 12:44:47 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:04:12 time: 0.0669 data_time: 0.0124 memory: 809 2022/08/11 12:44:48 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:04:43 time: 0.0753 data_time: 0.0175 memory: 809 2022/08/11 12:44:50 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:05:51 time: 0.0940 data_time: 0.0350 memory: 809 2022/08/11 12:44:54 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:10:41 time: 0.1724 data_time: 0.1154 memory: 809 2022/08/11 12:44:56 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:08:35 time: 0.1392 data_time: 0.0844 memory: 809 2022/08/11 12:45:00 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:09:41 time: 0.1578 data_time: 0.1013 memory: 809 2022/08/11 12:45:03 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:10:08 time: 0.1662 data_time: 0.0917 memory: 809 2022/08/11 12:45:06 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:09:14 time: 0.1521 data_time: 0.0960 memory: 809 2022/08/11 12:45:08 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:04:38 time: 0.0769 data_time: 0.0055 memory: 902 2022/08/11 12:45:09 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:04:31 time: 0.0753 data_time: 0.0047 memory: 902 2022/08/11 12:45:11 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:04:36 time: 0.0773 data_time: 0.0061 memory: 902 2022/08/11 12:45:12 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:05:19 time: 0.0897 data_time: 0.0183 memory: 902 2022/08/11 12:45:14 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:04:23 time: 0.0745 data_time: 0.0054 memory: 902 2022/08/11 12:45:15 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:03:04 time: 0.0525 data_time: 0.0048 memory: 743 2022/08/11 12:45:16 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:04:26 time: 0.0760 data_time: 0.0296 memory: 743 2022/08/11 12:45:17 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:02:38 time: 0.0456 data_time: 0.0032 memory: 743 2022/08/11 12:45:18 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:02:37 time: 0.0454 data_time: 0.0028 memory: 743 2022/08/11 12:45:20 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:04:16 time: 0.0745 data_time: 0.0286 memory: 743 2022/08/11 12:45:21 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:03:30 time: 0.0615 data_time: 0.0050 memory: 809 2022/08/11 12:45:23 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:04:24 time: 0.0778 data_time: 0.0185 memory: 809 2022/08/11 12:45:24 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:03:35 time: 0.0636 data_time: 0.0040 memory: 809 2022/08/11 12:45:25 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:03:07 time: 0.0558 data_time: 0.0044 memory: 809 2022/08/11 12:45:26 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:02:59 time: 0.0537 data_time: 0.0038 memory: 773 2022/08/11 12:45:27 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:03:45 time: 0.0678 data_time: 0.0045 memory: 773 2022/08/11 12:45:29 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:03:00 time: 0.0547 data_time: 0.0033 memory: 773 2022/08/11 12:45:30 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:02:52 time: 0.0525 data_time: 0.0039 memory: 773 2022/08/11 12:45:31 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:03:23 time: 0.0625 data_time: 0.0043 memory: 809 2022/08/11 12:45:32 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:03:32 time: 0.0657 data_time: 0.0057 memory: 809 2022/08/11 12:45:33 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:03:30 time: 0.0653 data_time: 0.0042 memory: 809 2022/08/11 12:45:35 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:03:20 time: 0.0625 data_time: 0.0052 memory: 809 2022/08/11 12:45:36 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:03:07 time: 0.0589 data_time: 0.0055 memory: 809 2022/08/11 12:45:37 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:02:45 time: 0.0524 data_time: 0.0042 memory: 743 2022/08/11 12:45:38 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:03:50 time: 0.0734 data_time: 0.0031 memory: 743 2022/08/11 12:45:39 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:02:29 time: 0.0479 data_time: 0.0042 memory: 743 2022/08/11 12:45:40 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:02:33 time: 0.0494 data_time: 0.0050 memory: 743 2022/08/11 12:45:42 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:03:15 time: 0.0635 data_time: 0.0092 memory: 809 2022/08/11 12:45:43 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:03:16 time: 0.0643 data_time: 0.0048 memory: 809 2022/08/11 12:45:44 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:03:39 time: 0.0721 data_time: 0.0075 memory: 809 2022/08/11 12:45:46 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:03:26 time: 0.0683 data_time: 0.0051 memory: 809 2022/08/11 12:45:47 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:03:19 time: 0.0665 data_time: 0.0044 memory: 809 2022/08/11 12:45:49 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:05:32 time: 0.1115 data_time: 0.0290 memory: 809 2022/08/11 12:45:51 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:03:33 time: 0.0721 data_time: 0.0131 memory: 809 2022/08/11 12:45:52 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:03:08 time: 0.0642 data_time: 0.0053 memory: 809 2022/08/11 12:45:53 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:03:26 time: 0.0705 data_time: 0.0058 memory: 809 2022/08/11 12:45:55 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:03:00 time: 0.0621 data_time: 0.0049 memory: 809 2022/08/11 12:45:56 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:02:43 time: 0.0569 data_time: 0.0046 memory: 738 2022/08/11 12:45:57 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:02:37 time: 0.0549 data_time: 0.0043 memory: 738 2022/08/11 12:45:58 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:02:30 time: 0.0531 data_time: 0.0041 memory: 738 2022/08/11 12:45:59 - mmengine - INFO - Epoch(val) [3][3460/6282] eta: 0:02:39 time: 0.0566 data_time: 0.0058 memory: 738 2022/08/11 12:46:01 - mmengine - INFO - Epoch(val) [3][3480/6282] eta: 0:03:32 time: 0.0757 data_time: 0.0046 memory: 738 2022/08/11 12:46:02 - mmengine - INFO - Epoch(val) [3][3500/6282] eta: 0:02:41 time: 0.0580 data_time: 0.0073 memory: 738 2022/08/11 12:46:03 - mmengine - INFO - Epoch(val) [3][3520/6282] eta: 0:02:31 time: 0.0549 data_time: 0.0049 memory: 738 2022/08/11 12:46:04 - mmengine - INFO - Epoch(val) [3][3540/6282] eta: 0:02:28 time: 0.0542 data_time: 0.0044 memory: 738 2022/08/11 12:46:05 - mmengine - INFO - Epoch(val) [3][3560/6282] eta: 0:02:23 time: 0.0527 data_time: 0.0045 memory: 738 2022/08/11 12:46:06 - mmengine - INFO - Epoch(val) [3][3580/6282] eta: 0:02:20 time: 0.0521 data_time: 0.0036 memory: 789 2022/08/11 12:46:07 - mmengine - INFO - Epoch(val) [3][3600/6282] eta: 0:02:30 time: 0.0561 data_time: 0.0039 memory: 789 2022/08/11 12:46:08 - mmengine - INFO - Epoch(val) [3][3620/6282] eta: 0:02:31 time: 0.0568 data_time: 0.0040 memory: 789 2022/08/11 12:46:09 - mmengine - INFO - Epoch(val) [3][3640/6282] eta: 0:02:23 time: 0.0545 data_time: 0.0038 memory: 789 2022/08/11 12:46:11 - mmengine - INFO - Epoch(val) [3][3660/6282] eta: 0:03:25 time: 0.0783 data_time: 0.0050 memory: 789 2022/08/11 12:46:12 - mmengine - INFO - Epoch(val) [3][3680/6282] eta: 0:02:37 time: 0.0604 data_time: 0.0060 memory: 809 2022/08/11 12:46:13 - mmengine - INFO - Epoch(val) [3][3700/6282] eta: 0:02:40 time: 0.0620 data_time: 0.0045 memory: 809 2022/08/11 12:46:15 - mmengine - INFO - Epoch(val) [3][3720/6282] eta: 0:02:43 time: 0.0636 data_time: 0.0043 memory: 809 2022/08/11 12:46:16 - mmengine - INFO - Epoch(val) [3][3740/6282] eta: 0:02:40 time: 0.0633 data_time: 0.0067 memory: 809 2022/08/11 12:46:17 - mmengine - INFO - Epoch(val) [3][3760/6282] eta: 0:02:34 time: 0.0611 data_time: 0.0056 memory: 809 2022/08/11 12:46:18 - mmengine - INFO - Epoch(val) [3][3780/6282] eta: 0:02:25 time: 0.0581 data_time: 0.0042 memory: 809 2022/08/11 12:46:20 - mmengine - INFO - Epoch(val) [3][3800/6282] eta: 0:02:27 time: 0.0593 data_time: 0.0054 memory: 809 2022/08/11 12:46:21 - mmengine - INFO - Epoch(val) [3][3820/6282] eta: 0:02:28 time: 0.0601 data_time: 0.0052 memory: 809 2022/08/11 12:46:22 - mmengine - INFO - Epoch(val) [3][3840/6282] eta: 0:03:24 time: 0.0837 data_time: 0.0048 memory: 809 2022/08/11 12:46:24 - mmengine - INFO - Epoch(val) [3][3860/6282] eta: 0:02:45 time: 0.0683 data_time: 0.0087 memory: 809 2022/08/11 12:46:25 - mmengine - INFO - Epoch(val) [3][3880/6282] eta: 0:03:06 time: 0.0777 data_time: 0.0175 memory: 809 2022/08/11 12:46:29 - mmengine - INFO - Epoch(val) [3][3900/6282] eta: 0:06:16 time: 0.1580 data_time: 0.1022 memory: 809 2022/08/11 12:46:31 - mmengine - INFO - Epoch(val) [3][3920/6282] eta: 0:03:51 time: 0.0980 data_time: 0.0363 memory: 809 2022/08/11 12:46:33 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:04:24 time: 0.1131 data_time: 0.0261 memory: 809 2022/08/11 12:46:38 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:10:27 time: 0.2703 data_time: 0.2108 memory: 809 2022/08/11 12:46:44 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:10:51 time: 0.2831 data_time: 0.2220 memory: 809 2022/08/11 12:46:45 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:02:30 time: 0.0661 data_time: 0.0049 memory: 809 2022/08/11 12:46:47 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:02:29 time: 0.0661 data_time: 0.0053 memory: 809 2022/08/11 12:46:48 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:02:31 time: 0.0676 data_time: 0.0055 memory: 902 2022/08/11 12:46:49 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:02:52 time: 0.0776 data_time: 0.0052 memory: 902 2022/08/11 12:46:51 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:02:52 time: 0.0784 data_time: 0.0066 memory: 902 2022/08/11 12:46:53 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:02:44 time: 0.0756 data_time: 0.0058 memory: 902 2022/08/11 12:46:54 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:03:28 time: 0.0965 data_time: 0.0053 memory: 902 2022/08/11 12:46:56 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:02:13 time: 0.0623 data_time: 0.0049 memory: 902 2022/08/11 12:46:57 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:01:38 time: 0.0462 data_time: 0.0033 memory: 738 2022/08/11 12:46:58 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:01:39 time: 0.0472 data_time: 0.0031 memory: 738 2022/08/11 12:46:59 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:01:41 time: 0.0487 data_time: 0.0041 memory: 738 2022/08/11 12:47:00 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:01:44 time: 0.0505 data_time: 0.0036 memory: 738 2022/08/11 12:47:01 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:01:36 time: 0.0473 data_time: 0.0037 memory: 738 2022/08/11 12:47:02 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:01:38 time: 0.0485 data_time: 0.0042 memory: 736 2022/08/11 12:47:02 - mmengine - INFO - Epoch(val) [3][4280/6282] eta: 0:01:28 time: 0.0443 data_time: 0.0035 memory: 736 2022/08/11 12:47:03 - mmengine - INFO - Epoch(val) [3][4300/6282] eta: 0:01:25 time: 0.0432 data_time: 0.0026 memory: 736 2022/08/11 12:47:04 - mmengine - INFO - Epoch(val) [3][4320/6282] eta: 0:01:29 time: 0.0458 data_time: 0.0032 memory: 736 2022/08/11 12:47:05 - mmengine - INFO - Epoch(val) [3][4340/6282] eta: 0:01:32 time: 0.0474 data_time: 0.0035 memory: 736 2022/08/11 12:47:06 - mmengine - INFO - Epoch(val) [3][4360/6282] eta: 0:02:00 time: 0.0625 data_time: 0.0043 memory: 809 2022/08/11 12:47:08 - mmengine - INFO - Epoch(val) [3][4380/6282] eta: 0:02:00 time: 0.0636 data_time: 0.0048 memory: 809 2022/08/11 12:47:09 - mmengine - INFO - Epoch(val) [3][4400/6282] eta: 0:01:59 time: 0.0636 data_time: 0.0041 memory: 809 2022/08/11 12:47:10 - mmengine - INFO - Epoch(val) [3][4420/6282] eta: 0:02:06 time: 0.0680 data_time: 0.0069 memory: 809 2022/08/11 12:47:12 - mmengine - INFO - Epoch(val) [3][4440/6282] eta: 0:02:51 time: 0.0929 data_time: 0.0070 memory: 816 2022/08/11 12:47:13 - mmengine - INFO - Epoch(val) [3][4460/6282] eta: 0:01:57 time: 0.0645 data_time: 0.0046 memory: 816 2022/08/11 12:47:15 - mmengine - INFO - Epoch(val) [3][4480/6282] eta: 0:01:56 time: 0.0644 data_time: 0.0057 memory: 816 2022/08/11 12:47:16 - mmengine - INFO - Epoch(val) [3][4500/6282] eta: 0:01:53 time: 0.0637 data_time: 0.0044 memory: 816 2022/08/11 12:47:17 - mmengine - INFO - Epoch(val) [3][4520/6282] eta: 0:01:49 time: 0.0622 data_time: 0.0049 memory: 816 2022/08/11 12:47:18 - mmengine - INFO - Epoch(val) [3][4540/6282] eta: 0:01:37 time: 0.0562 data_time: 0.0054 memory: 743 2022/08/11 12:47:20 - mmengine - INFO - Epoch(val) [3][4560/6282] eta: 0:01:33 time: 0.0544 data_time: 0.0035 memory: 743 2022/08/11 12:47:21 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:29 time: 0.0529 data_time: 0.0046 memory: 743 2022/08/11 12:47:22 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:30 time: 0.0541 data_time: 0.0041 memory: 743 2022/08/11 12:47:23 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:01:27 time: 0.0526 data_time: 0.0049 memory: 743 2022/08/11 12:47:24 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:44 time: 0.0639 data_time: 0.0050 memory: 816 2022/08/11 12:47:25 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:01:48 time: 0.0667 data_time: 0.0055 memory: 816 2022/08/11 12:47:27 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:46 time: 0.0665 data_time: 0.0062 memory: 816 2022/08/11 12:47:28 - mmengine - INFO - Epoch(val) [3][4700/6282] eta: 0:01:46 time: 0.0671 data_time: 0.0054 memory: 816 2022/08/11 12:47:29 - mmengine - INFO - Epoch(val) [3][4720/6282] eta: 0:01:38 time: 0.0632 data_time: 0.0044 memory: 816 2022/08/11 12:47:30 - mmengine - INFO - Epoch(val) [3][4740/6282] eta: 0:01:26 time: 0.0561 data_time: 0.0056 memory: 768 2022/08/11 12:47:32 - mmengine - INFO - Epoch(val) [3][4760/6282] eta: 0:02:00 time: 0.0792 data_time: 0.0038 memory: 768 2022/08/11 12:47:33 - mmengine - INFO - Epoch(val) [3][4780/6282] eta: 0:01:25 time: 0.0567 data_time: 0.0051 memory: 768 2022/08/11 12:47:34 - mmengine - INFO - Epoch(val) [3][4800/6282] eta: 0:01:19 time: 0.0538 data_time: 0.0042 memory: 768 2022/08/11 12:47:35 - mmengine - INFO - Epoch(val) [3][4820/6282] eta: 0:01:25 time: 0.0586 data_time: 0.0053 memory: 809 2022/08/11 12:47:37 - mmengine - INFO - Epoch(val) [3][4840/6282] eta: 0:01:38 time: 0.0683 data_time: 0.0059 memory: 809 2022/08/11 12:47:38 - mmengine - INFO - Epoch(val) [3][4860/6282] eta: 0:01:26 time: 0.0611 data_time: 0.0045 memory: 809 2022/08/11 12:47:39 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:29 time: 0.0638 data_time: 0.0044 memory: 809 2022/08/11 12:47:41 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:25 time: 0.0619 data_time: 0.0045 memory: 809 2022/08/11 12:47:43 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:03:01 time: 0.1334 data_time: 0.0776 memory: 811 2022/08/11 12:47:45 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:02:00 time: 0.0899 data_time: 0.0361 memory: 811 2022/08/11 12:47:46 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:21 time: 0.0615 data_time: 0.0035 memory: 811 2022/08/11 12:47:47 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:01:21 time: 0.0623 data_time: 0.0047 memory: 811 2022/08/11 12:47:49 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:01:20 time: 0.0625 data_time: 0.0052 memory: 811 2022/08/11 12:47:50 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:01:12 time: 0.0577 data_time: 0.0038 memory: 811 2022/08/11 12:47:51 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:01:04 time: 0.0519 data_time: 0.0040 memory: 743 2022/08/11 12:47:53 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:01:37 time: 0.0801 data_time: 0.0051 memory: 743 2022/08/11 12:47:54 - mmengine - INFO - Epoch(val) [3][5080/6282] eta: 0:01:04 time: 0.0535 data_time: 0.0040 memory: 743 2022/08/11 12:47:59 - mmengine - INFO - Epoch(val) [3][5100/6282] eta: 0:05:27 time: 0.2770 data_time: 0.2268 memory: 743 2022/08/11 12:48:00 - mmengine - INFO - Epoch(val) [3][5120/6282] eta: 0:01:01 time: 0.0530 data_time: 0.0047 memory: 743 2022/08/11 12:48:01 - mmengine - INFO - Epoch(val) [3][5140/6282] eta: 0:01:03 time: 0.0555 data_time: 0.0038 memory: 738 2022/08/11 12:48:02 - mmengine - INFO - Epoch(val) [3][5160/6282] eta: 0:01:01 time: 0.0547 data_time: 0.0041 memory: 738 2022/08/11 12:48:03 - mmengine - INFO - Epoch(val) [3][5180/6282] eta: 0:00:58 time: 0.0532 data_time: 0.0057 memory: 738 2022/08/11 12:48:05 - mmengine - INFO - Epoch(val) [3][5200/6282] eta: 0:01:21 time: 0.0750 data_time: 0.0038 memory: 738 2022/08/11 12:48:10 - mmengine - INFO - Epoch(val) [3][5220/6282] eta: 0:04:45 time: 0.2687 data_time: 0.2215 memory: 738 2022/08/11 12:48:11 - mmengine - INFO - Epoch(val) [3][5240/6282] eta: 0:00:49 time: 0.0472 data_time: 0.0040 memory: 736 2022/08/11 12:48:12 - mmengine - INFO - Epoch(val) [3][5260/6282] eta: 0:00:46 time: 0.0453 data_time: 0.0030 memory: 736 2022/08/11 12:48:13 - mmengine - INFO - Epoch(val) [3][5280/6282] eta: 0:00:47 time: 0.0473 data_time: 0.0037 memory: 736 2022/08/11 12:48:14 - mmengine - INFO - Epoch(val) [3][5300/6282] eta: 0:00:51 time: 0.0523 data_time: 0.0048 memory: 736 2022/08/11 12:48:16 - mmengine - INFO - Epoch(val) [3][5320/6282] eta: 0:01:20 time: 0.0833 data_time: 0.0050 memory: 738 2022/08/11 12:48:17 - mmengine - INFO - Epoch(val) [3][5340/6282] eta: 0:00:47 time: 0.0499 data_time: 0.0043 memory: 738 2022/08/11 12:48:22 - mmengine - INFO - Epoch(val) [3][5360/6282] eta: 0:04:10 time: 0.2721 data_time: 0.2301 memory: 738 2022/08/11 12:48:23 - mmengine - INFO - Epoch(val) [3][5380/6282] eta: 0:00:38 time: 0.0430 data_time: 0.0025 memory: 738 2022/08/11 12:48:24 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:00:38 time: 0.0434 data_time: 0.0031 memory: 738 2022/08/11 12:48:25 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:40 time: 0.0473 data_time: 0.0044 memory: 738 2022/08/11 12:48:26 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:01:00 time: 0.0720 data_time: 0.0041 memory: 738 2022/08/11 12:48:27 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:42 time: 0.0518 data_time: 0.0042 memory: 738 2022/08/11 12:48:29 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:42 time: 0.0536 data_time: 0.0062 memory: 738 2022/08/11 12:48:30 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:39 time: 0.0499 data_time: 0.0043 memory: 738 2022/08/11 12:48:31 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:00:39 time: 0.0523 data_time: 0.0041 memory: 763 2022/08/11 12:48:32 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:00:41 time: 0.0559 data_time: 0.0048 memory: 763 2022/08/11 12:48:33 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:38 time: 0.0538 data_time: 0.0047 memory: 763 2022/08/11 12:48:34 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:00:42 time: 0.0600 data_time: 0.0069 memory: 763 2022/08/11 12:48:35 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:00:39 time: 0.0586 data_time: 0.0053 memory: 763 2022/08/11 12:48:36 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:00:39 time: 0.0593 data_time: 0.0068 memory: 763 2022/08/11 12:48:38 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:00:53 time: 0.0826 data_time: 0.0049 memory: 738 2022/08/11 12:48:39 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:34 time: 0.0562 data_time: 0.0048 memory: 738 2022/08/11 12:48:40 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:32 time: 0.0545 data_time: 0.0043 memory: 738 2022/08/11 12:48:41 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:31 time: 0.0534 data_time: 0.0039 memory: 738 2022/08/11 12:48:42 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:31 time: 0.0557 data_time: 0.0047 memory: 780 2022/08/11 12:48:44 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:30 time: 0.0558 data_time: 0.0042 memory: 780 2022/08/11 12:48:45 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:29 time: 0.0571 data_time: 0.0052 memory: 780 2022/08/11 12:48:46 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:27 time: 0.0542 data_time: 0.0047 memory: 780 2022/08/11 12:48:47 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:27 time: 0.0560 data_time: 0.0042 memory: 780 2022/08/11 12:48:48 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:27 time: 0.0593 data_time: 0.0051 memory: 780 2022/08/11 12:48:49 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:25 time: 0.0576 data_time: 0.0058 memory: 763 2022/08/11 12:48:50 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:24 time: 0.0589 data_time: 0.0042 memory: 763 2022/08/11 12:48:52 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:35 time: 0.0888 data_time: 0.0086 memory: 763 2022/08/11 12:48:53 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:00:20 time: 0.0527 data_time: 0.0041 memory: 763 2022/08/11 12:48:54 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:00:18 time: 0.0501 data_time: 0.0036 memory: 763 2022/08/11 12:48:55 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:17 time: 0.0507 data_time: 0.0043 memory: 738 2022/08/11 12:48:56 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:16 time: 0.0526 data_time: 0.0042 memory: 738 2022/08/11 12:48:57 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:00:15 time: 0.0497 data_time: 0.0038 memory: 738 2022/08/11 12:48:59 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:17 time: 0.0629 data_time: 0.0045 memory: 809 2022/08/11 12:49:00 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:17 time: 0.0666 data_time: 0.0064 memory: 809 2022/08/11 12:49:01 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:16 time: 0.0670 data_time: 0.0046 memory: 809 2022/08/11 12:49:04 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:29 time: 0.1307 data_time: 0.0775 memory: 809 2022/08/11 12:49:10 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:01:00 time: 0.2994 data_time: 0.2454 memory: 809 2022/08/11 12:49:12 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:14 time: 0.0804 data_time: 0.0247 memory: 809 2022/08/11 12:49:17 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:47 time: 0.2941 data_time: 0.2103 memory: 809 2022/08/11 12:49:19 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:09 time: 0.0653 data_time: 0.0061 memory: 809 2022/08/11 12:49:20 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:08 time: 0.0672 data_time: 0.0045 memory: 809 2022/08/11 12:49:21 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:06 time: 0.0679 data_time: 0.0083 memory: 809 2022/08/11 12:49:23 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:04 time: 0.0586 data_time: 0.0041 memory: 809 2022/08/11 12:49:24 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:03 time: 0.0574 data_time: 0.0035 memory: 809 2022/08/11 12:49:25 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:02 time: 0.0578 data_time: 0.0048 memory: 809 2022/08/11 12:49:26 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:01 time: 0.0542 data_time: 0.0030 memory: 809 2022/08/11 12:49:27 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0529 data_time: 0.0028 memory: 809 2022/08/11 12:54:44 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2517 2022/08/11 12:54:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2022/08/11 12:54:48 - mmengine - INFO - The best checkpoint with 0.2517 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2022/08/11 12:54:59 - mmengine - INFO - Epoch(train) [4][20/3842] lr: 7.2118e-02 eta: 3:58:50 time: 0.5593 data_time: 0.0866 memory: 10484 grad_norm: 0.2056 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8073 recall@top3: 0.8229 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4750 loss_action_cls: 0.0606 loss: 0.0606 2022/08/11 12:55:10 - mmengine - INFO - Epoch(train) [4][40/3842] lr: 7.2088e-02 eta: 3:58:39 time: 0.5247 data_time: 0.0277 memory: 10484 grad_norm: 0.2047 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.9487 recall@top3: 0.9231 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.4923 loss_action_cls: 0.0559 loss: 0.0559 2022/08/11 12:55:20 - mmengine - INFO - Epoch(train) [4][60/3842] lr: 7.2058e-02 eta: 3:58:27 time: 0.4936 data_time: 0.0188 memory: 10484 grad_norm: 0.2086 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.7843 recall@top3: 0.8137 prec@top3: 0.8039 recall@top5: 0.9853 prec@top5: 0.5882 loss_action_cls: 0.0704 loss: 0.0704 2022/08/11 12:55:30 - mmengine - INFO - Epoch(train) [4][80/3842] lr: 7.2028e-02 eta: 3:58:16 time: 0.5287 data_time: 0.0207 memory: 10484 grad_norm: 0.2259 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.7778 recall@top3: 0.8056 prec@top3: 0.6481 recall@top5: 0.8796 prec@top5: 0.4333 loss_action_cls: 0.0710 loss: 0.0710 2022/08/11 12:55:40 - mmengine - INFO - Epoch(train) [4][100/3842] lr: 7.1998e-02 eta: 3:58:04 time: 0.5101 data_time: 0.0168 memory: 10484 grad_norm: 0.2030 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.6319 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0595 loss: 0.0595 2022/08/11 12:55:50 - mmengine - INFO - Epoch(train) [4][120/3842] lr: 7.1968e-02 eta: 3:57:52 time: 0.4928 data_time: 0.0183 memory: 10484 grad_norm: 0.2119 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.7870 recall@top3: 0.8704 prec@top3: 0.4815 recall@top5: 0.8981 prec@top5: 0.3000 loss_action_cls: 0.0611 loss: 0.0611 2022/08/11 12:56:00 - mmengine - INFO - Epoch(train) [4][140/3842] lr: 7.1938e-02 eta: 3:57:40 time: 0.5130 data_time: 0.0147 memory: 10484 grad_norm: 0.2097 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.7593 recall@top3: 0.6435 prec@top3: 0.5370 recall@top5: 0.8611 prec@top5: 0.4444 loss_action_cls: 0.0695 loss: 0.0695 2022/08/11 12:56:10 - mmengine - INFO - Epoch(train) [4][160/3842] lr: 7.1908e-02 eta: 3:57:27 time: 0.4887 data_time: 0.0202 memory: 10484 grad_norm: 0.2198 recall@thr=0.5: 0.6367 prec@thr=0.5: 0.7417 recall@top3: 0.8017 prec@top3: 0.7667 recall@top5: 0.9300 prec@top5: 0.5600 loss_action_cls: 0.0604 loss: 0.0604 2022/08/11 12:56:20 - mmengine - INFO - Epoch(train) [4][180/3842] lr: 7.1877e-02 eta: 3:57:16 time: 0.5087 data_time: 0.0144 memory: 10484 grad_norm: 0.2109 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.8000 prec@top3: 0.6667 recall@top5: 0.8500 prec@top5: 0.4400 loss_action_cls: 0.0622 loss: 0.0622 2022/08/11 12:56:31 - mmengine - INFO - Epoch(train) [4][200/3842] lr: 7.1846e-02 eta: 3:57:06 time: 0.5526 data_time: 0.0183 memory: 10484 grad_norm: 0.2053 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8155 recall@top3: 0.7381 prec@top3: 0.7381 recall@top5: 0.9107 prec@top5: 0.5429 loss_action_cls: 0.0649 loss: 0.0649 2022/08/11 12:56:41 - mmengine - INFO - Epoch(train) [4][220/3842] lr: 7.1816e-02 eta: 3:56:53 time: 0.4886 data_time: 0.0184 memory: 10484 grad_norm: 0.2133 recall@thr=0.5: 0.6096 prec@thr=0.5: 0.6228 recall@top3: 0.6711 prec@top3: 0.4386 recall@top5: 0.8509 prec@top5: 0.3263 loss_action_cls: 0.0662 loss: 0.0662 2022/08/11 12:56:53 - mmengine - INFO - Epoch(train) [4][240/3842] lr: 7.1785e-02 eta: 3:56:44 time: 0.5639 data_time: 0.0167 memory: 10484 grad_norm: 0.2133 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8958 recall@top3: 0.7833 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0576 loss: 0.0576 2022/08/11 12:57:03 - mmengine - INFO - Epoch(train) [4][260/3842] lr: 7.1753e-02 eta: 3:56:33 time: 0.5326 data_time: 0.0176 memory: 10484 grad_norm: 0.2170 recall@thr=0.5: 0.8636 prec@thr=0.5: 0.8636 recall@top3: 0.9015 prec@top3: 0.8485 recall@top5: 0.9545 prec@top5: 0.5455 loss_action_cls: 0.0633 loss: 0.0633 2022/08/11 12:57:14 - mmengine - INFO - Epoch(train) [4][280/3842] lr: 7.1722e-02 eta: 3:56:22 time: 0.5251 data_time: 0.0175 memory: 10484 grad_norm: 0.2160 recall@thr=0.5: 0.6880 prec@thr=0.5: 0.8704 recall@top3: 0.8352 prec@top3: 0.7407 recall@top5: 0.9074 prec@top5: 0.5111 loss_action_cls: 0.0672 loss: 0.0672 2022/08/11 12:57:24 - mmengine - INFO - Epoch(train) [4][300/3842] lr: 7.1691e-02 eta: 3:56:10 time: 0.4950 data_time: 0.0180 memory: 10484 grad_norm: 0.2219 recall@thr=0.5: 0.5921 prec@thr=0.5: 0.6579 recall@top3: 0.6842 prec@top3: 0.6140 recall@top5: 0.8947 prec@top5: 0.4947 loss_action_cls: 0.0567 loss: 0.0567 2022/08/11 12:57:34 - mmengine - INFO - Epoch(train) [4][320/3842] lr: 7.1659e-02 eta: 3:55:58 time: 0.5081 data_time: 0.0150 memory: 10484 grad_norm: 0.2089 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5111 recall@top3: 0.7222 prec@top3: 0.5111 recall@top5: 0.9278 prec@top5: 0.3733 loss_action_cls: 0.0663 loss: 0.0663 2022/08/11 12:57:44 - mmengine - INFO - Epoch(train) [4][340/3842] lr: 7.1628e-02 eta: 3:55:47 time: 0.5131 data_time: 0.0174 memory: 10484 grad_norm: 0.2216 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.6597 recall@top3: 0.6667 prec@top3: 0.5139 recall@top5: 0.8472 prec@top5: 0.3750 loss_action_cls: 0.0666 loss: 0.0666 2022/08/11 12:57:55 - mmengine - INFO - Epoch(train) [4][360/3842] lr: 7.1596e-02 eta: 3:55:36 time: 0.5332 data_time: 0.0180 memory: 10484 grad_norm: 0.2179 recall@thr=0.5: 0.9706 prec@thr=0.5: 0.8039 recall@top3: 0.9706 prec@top3: 0.6078 recall@top5: 0.9706 prec@top5: 0.3647 loss_action_cls: 0.0586 loss: 0.0586 2022/08/11 12:58:06 - mmengine - INFO - Epoch(train) [4][380/3842] lr: 7.1564e-02 eta: 3:55:26 time: 0.5469 data_time: 0.0194 memory: 10484 grad_norm: 0.2181 recall@thr=0.5: 0.5590 prec@thr=0.5: 0.6111 recall@top3: 0.6528 prec@top3: 0.5694 recall@top5: 0.8819 prec@top5: 0.4750 loss_action_cls: 0.0717 loss: 0.0717 2022/08/11 12:58:16 - mmengine - INFO - Epoch(train) [4][400/3842] lr: 7.1532e-02 eta: 3:55:15 time: 0.5270 data_time: 0.0184 memory: 10484 grad_norm: 0.2174 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.8681 recall@top3: 0.6111 prec@top3: 0.6389 recall@top5: 0.8819 prec@top5: 0.5333 loss_action_cls: 0.0684 loss: 0.0684 2022/08/11 12:58:26 - mmengine - INFO - Epoch(train) [4][420/3842] lr: 7.1499e-02 eta: 3:55:03 time: 0.5024 data_time: 0.0265 memory: 10484 grad_norm: 0.2318 recall@thr=0.5: 0.7104 prec@thr=0.5: 0.7187 recall@top3: 0.7938 prec@top3: 0.7083 recall@top5: 0.9750 prec@top5: 0.5375 loss_action_cls: 0.0702 loss: 0.0702 2022/08/11 12:58:38 - mmengine - INFO - Epoch(train) [4][440/3842] lr: 7.1467e-02 eta: 3:54:55 time: 0.5962 data_time: 0.0172 memory: 10484 grad_norm: 0.2093 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.9167 recall@top3: 0.8750 prec@top3: 0.7917 recall@top5: 0.9375 prec@top5: 0.5250 loss_action_cls: 0.0689 loss: 0.0689 2022/08/11 12:58:49 - mmengine - INFO - Epoch(train) [4][460/3842] lr: 7.1434e-02 eta: 3:54:44 time: 0.5293 data_time: 0.0177 memory: 10484 grad_norm: 0.2164 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.6889 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.8167 prec@top5: 0.3733 loss_action_cls: 0.0658 loss: 0.0658 2022/08/11 12:58:56 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 12:58:59 - mmengine - INFO - Epoch(train) [4][480/3842] lr: 7.1402e-02 eta: 3:54:33 time: 0.5191 data_time: 0.0188 memory: 10484 grad_norm: 0.2146 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8028 recall@top3: 0.7639 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0597 loss: 0.0597 2022/08/11 12:59:10 - mmengine - INFO - Epoch(train) [4][500/3842] lr: 7.1369e-02 eta: 3:54:22 time: 0.5235 data_time: 0.0182 memory: 10484 grad_norm: 0.2171 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8854 recall@top3: 0.8177 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5625 loss_action_cls: 0.0631 loss: 0.0631 2022/08/11 12:59:20 - mmengine - INFO - Epoch(train) [4][520/3842] lr: 7.1336e-02 eta: 3:54:11 time: 0.5159 data_time: 0.0204 memory: 10484 grad_norm: 0.2103 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.9000 recall@top3: 0.9000 prec@top3: 0.5000 recall@top5: 0.9000 prec@top5: 0.3000 loss_action_cls: 0.0614 loss: 0.0614 2022/08/11 12:59:31 - mmengine - INFO - Epoch(train) [4][540/3842] lr: 7.1303e-02 eta: 3:54:02 time: 0.5715 data_time: 0.0214 memory: 10484 grad_norm: 0.2168 recall@thr=0.5: 0.8631 prec@thr=0.5: 0.7976 recall@top3: 0.9405 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0597 loss: 0.0597 2022/08/11 12:59:43 - mmengine - INFO - Epoch(train) [4][560/3842] lr: 7.1269e-02 eta: 3:53:53 time: 0.5871 data_time: 0.0172 memory: 10484 grad_norm: 0.2168 recall@thr=0.5: 0.5767 prec@thr=0.5: 0.7500 recall@top3: 0.6633 prec@top3: 0.6167 recall@top5: 0.9267 prec@top5: 0.5200 loss_action_cls: 0.0639 loss: 0.0639 2022/08/11 12:59:53 - mmengine - INFO - Epoch(train) [4][580/3842] lr: 7.1236e-02 eta: 3:53:41 time: 0.4935 data_time: 0.0176 memory: 10484 grad_norm: 0.2196 recall@thr=0.5: 0.6096 prec@thr=0.5: 0.5965 recall@top3: 0.5965 prec@top3: 0.5439 recall@top5: 0.8991 prec@top5: 0.5053 loss_action_cls: 0.0708 loss: 0.0708 2022/08/11 13:00:03 - mmengine - INFO - Epoch(train) [4][600/3842] lr: 7.1202e-02 eta: 3:53:30 time: 0.5162 data_time: 0.0153 memory: 10484 grad_norm: 0.2188 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.8718 recall@top3: 0.8526 prec@top3: 0.7436 recall@top5: 0.9359 prec@top5: 0.4923 loss_action_cls: 0.0672 loss: 0.0672 2022/08/11 13:00:14 - mmengine - INFO - Epoch(train) [4][620/3842] lr: 7.1169e-02 eta: 3:53:18 time: 0.5133 data_time: 0.0180 memory: 10484 grad_norm: 0.2226 recall@thr=0.5: 0.6131 prec@thr=0.5: 0.7440 recall@top3: 0.7500 prec@top3: 0.6905 recall@top5: 0.9643 prec@top5: 0.5571 loss_action_cls: 0.0627 loss: 0.0627 2022/08/11 13:00:23 - mmengine - INFO - Epoch(train) [4][640/3842] lr: 7.1135e-02 eta: 3:53:06 time: 0.4885 data_time: 0.0159 memory: 10484 grad_norm: 0.2276 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8667 recall@top3: 0.8083 prec@top3: 0.8000 recall@top5: 0.9458 prec@top5: 0.5700 loss_action_cls: 0.0648 loss: 0.0648 2022/08/11 13:00:34 - mmengine - INFO - Epoch(train) [4][660/3842] lr: 7.1101e-02 eta: 3:52:54 time: 0.5120 data_time: 0.0162 memory: 10484 grad_norm: 0.2187 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.6591 recall@top3: 0.8636 prec@top3: 0.6515 recall@top5: 0.9167 prec@top5: 0.4182 loss_action_cls: 0.0616 loss: 0.0616 2022/08/11 13:00:44 - mmengine - INFO - Epoch(train) [4][680/3842] lr: 7.1067e-02 eta: 3:52:43 time: 0.5150 data_time: 0.0176 memory: 10484 grad_norm: 0.2129 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.9405 recall@top3: 0.8631 prec@top3: 0.7381 recall@top5: 0.9524 prec@top5: 0.5000 loss_action_cls: 0.0572 loss: 0.0572 2022/08/11 13:00:54 - mmengine - INFO - Epoch(train) [4][700/3842] lr: 7.1033e-02 eta: 3:52:30 time: 0.4878 data_time: 0.0179 memory: 10484 grad_norm: 0.2277 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8842 recall@top3: 0.8158 prec@top3: 0.8596 recall@top5: 1.0000 prec@top5: 0.6421 loss_action_cls: 0.0595 loss: 0.0595 2022/08/11 13:01:04 - mmengine - INFO - Epoch(train) [4][720/3842] lr: 7.0998e-02 eta: 3:52:19 time: 0.5176 data_time: 0.0164 memory: 10484 grad_norm: 0.2091 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7037 recall@top3: 0.6944 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.5111 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 13:01:16 - mmengine - INFO - Epoch(train) [4][740/3842] lr: 7.0964e-02 eta: 3:52:11 time: 0.6026 data_time: 0.0201 memory: 10484 grad_norm: 0.2160 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.8106 recall@top3: 0.8220 prec@top3: 0.7879 recall@top5: 0.9697 prec@top5: 0.5545 loss_action_cls: 0.0621 loss: 0.0621 2022/08/11 13:01:27 - mmengine - INFO - Epoch(train) [4][760/3842] lr: 7.0929e-02 eta: 3:52:00 time: 0.5301 data_time: 0.0174 memory: 10484 grad_norm: 0.2198 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8194 recall@top3: 0.7986 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5833 loss_action_cls: 0.0600 loss: 0.0600 2022/08/11 13:01:37 - mmengine - INFO - Epoch(train) [4][780/3842] lr: 7.0894e-02 eta: 3:51:49 time: 0.5284 data_time: 0.0196 memory: 10484 grad_norm: 0.2210 recall@thr=0.5: 0.7123 prec@thr=0.5: 0.8333 recall@top3: 0.7561 prec@top3: 0.7193 recall@top5: 0.9035 prec@top5: 0.5368 loss_action_cls: 0.0584 loss: 0.0584 2022/08/11 13:01:47 - mmengine - INFO - Epoch(train) [4][800/3842] lr: 7.0859e-02 eta: 3:51:37 time: 0.4905 data_time: 0.0173 memory: 10484 grad_norm: 0.2175 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7778 recall@top3: 0.8935 prec@top3: 0.7222 recall@top5: 0.9861 prec@top5: 0.5000 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 13:01:57 - mmengine - INFO - Epoch(train) [4][820/3842] lr: 7.0824e-02 eta: 3:51:26 time: 0.5196 data_time: 0.0180 memory: 10484 grad_norm: 0.2103 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.8519 recall@top3: 0.8380 prec@top3: 0.6852 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0643 loss: 0.0643 2022/08/11 13:02:10 - mmengine - INFO - Epoch(train) [4][840/3842] lr: 7.0789e-02 eta: 3:51:19 time: 0.6134 data_time: 0.0182 memory: 10484 grad_norm: 0.2210 recall@thr=0.5: 0.4948 prec@thr=0.5: 0.5312 recall@top3: 0.6302 prec@top3: 0.5417 recall@top5: 0.8490 prec@top5: 0.4500 loss_action_cls: 0.0684 loss: 0.0684 2022/08/11 13:02:20 - mmengine - INFO - Epoch(train) [4][860/3842] lr: 7.0754e-02 eta: 3:51:08 time: 0.5347 data_time: 0.0173 memory: 10484 grad_norm: 0.2293 recall@thr=0.5: 0.7296 prec@thr=0.5: 0.6722 recall@top3: 0.6731 prec@top3: 0.6111 recall@top5: 0.8565 prec@top5: 0.5111 loss_action_cls: 0.0682 loss: 0.0682 2022/08/11 13:02:31 - mmengine - INFO - Epoch(train) [4][880/3842] lr: 7.0718e-02 eta: 3:50:57 time: 0.5231 data_time: 0.0170 memory: 10484 grad_norm: 0.2180 recall@thr=0.5: 0.8796 prec@thr=0.5: 0.9444 recall@top3: 0.9167 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0648 loss: 0.0648 2022/08/11 13:02:41 - mmengine - INFO - Epoch(train) [4][900/3842] lr: 7.0683e-02 eta: 3:50:46 time: 0.5244 data_time: 0.0196 memory: 10484 grad_norm: 0.2239 recall@thr=0.5: 0.8000 prec@thr=0.5: 1.0000 recall@top3: 0.9333 prec@top3: 0.8000 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0588 loss: 0.0588 2022/08/11 13:02:51 - mmengine - INFO - Epoch(train) [4][920/3842] lr: 7.0647e-02 eta: 3:50:33 time: 0.4904 data_time: 0.0158 memory: 10484 grad_norm: 0.2211 recall@thr=0.5: 0.9538 prec@thr=0.5: 0.8115 recall@top3: 0.9385 prec@top3: 0.6923 recall@top5: 0.9692 prec@top5: 0.4462 loss_action_cls: 0.0683 loss: 0.0683 2022/08/11 13:03:01 - mmengine - INFO - Epoch(train) [4][940/3842] lr: 7.0611e-02 eta: 3:50:22 time: 0.5070 data_time: 0.0155 memory: 10484 grad_norm: 0.2099 recall@thr=0.5: 0.6229 prec@thr=0.5: 0.8125 recall@top3: 0.7063 prec@top3: 0.6250 recall@top5: 0.8604 prec@top5: 0.4875 loss_action_cls: 0.0644 loss: 0.0644 2022/08/11 13:03:12 - mmengine - INFO - Epoch(train) [4][960/3842] lr: 7.0575e-02 eta: 3:50:11 time: 0.5316 data_time: 0.0166 memory: 10484 grad_norm: 0.2134 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.7143 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0646 loss: 0.0646 2022/08/11 13:03:22 - mmengine - INFO - Epoch(train) [4][980/3842] lr: 7.0539e-02 eta: 3:49:59 time: 0.4949 data_time: 0.0198 memory: 10484 grad_norm: 0.2150 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.6410 recall@top3: 0.8333 prec@top3: 0.5641 recall@top5: 0.9551 prec@top5: 0.4000 loss_action_cls: 0.0611 loss: 0.0611 2022/08/11 13:03:32 - mmengine - INFO - Epoch(train) [4][1000/3842] lr: 7.0502e-02 eta: 3:49:47 time: 0.5149 data_time: 0.0153 memory: 10484 grad_norm: 0.2171 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.8750 recall@top3: 0.8281 prec@top3: 0.6979 recall@top5: 0.9688 prec@top5: 0.4937 loss_action_cls: 0.0613 loss: 0.0613 2022/08/11 13:03:47 - mmengine - INFO - Epoch(train) [4][1020/3842] lr: 7.0466e-02 eta: 3:49:46 time: 0.7567 data_time: 0.0183 memory: 10484 grad_norm: 0.2089 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9524 recall@top3: 0.8571 prec@top3: 0.7857 recall@top5: 0.9405 prec@top5: 0.5286 loss_action_cls: 0.0668 loss: 0.0668 2022/08/11 13:03:57 - mmengine - INFO - Epoch(train) [4][1040/3842] lr: 7.0429e-02 eta: 3:49:34 time: 0.4901 data_time: 0.0186 memory: 10484 grad_norm: 0.2182 recall@thr=0.5: 0.7646 prec@thr=0.5: 0.8281 recall@top3: 0.7740 prec@top3: 0.7708 recall@top5: 0.9333 prec@top5: 0.6000 loss_action_cls: 0.0650 loss: 0.0650 2022/08/11 13:04:07 - mmengine - INFO - Epoch(train) [4][1060/3842] lr: 7.0392e-02 eta: 3:49:22 time: 0.5168 data_time: 0.0161 memory: 10484 grad_norm: 0.2155 recall@thr=0.5: 0.7970 prec@thr=0.5: 0.7348 recall@top3: 0.7742 prec@top3: 0.6667 recall@top5: 0.9288 prec@top5: 0.4909 loss_action_cls: 0.0664 loss: 0.0664 2022/08/11 13:04:17 - mmengine - INFO - Epoch(train) [4][1080/3842] lr: 7.0356e-02 eta: 3:49:10 time: 0.4968 data_time: 0.0250 memory: 10484 grad_norm: 0.2349 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.7601 recall@top3: 0.8623 prec@top3: 0.6232 recall@top5: 0.9384 prec@top5: 0.4261 loss_action_cls: 0.0697 loss: 0.0697 2022/08/11 13:04:28 - mmengine - INFO - Epoch(train) [4][1100/3842] lr: 7.0318e-02 eta: 3:48:59 time: 0.5284 data_time: 0.0144 memory: 10484 grad_norm: 0.2109 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6863 recall@top3: 0.7451 prec@top3: 0.6275 recall@top5: 0.8529 prec@top5: 0.4471 loss_action_cls: 0.0676 loss: 0.0676 2022/08/11 13:04:38 - mmengine - INFO - Epoch(train) [4][1120/3842] lr: 7.0281e-02 eta: 3:48:47 time: 0.4895 data_time: 0.0180 memory: 10484 grad_norm: 0.2085 recall@thr=0.5: 0.7927 prec@thr=0.5: 0.8125 recall@top3: 0.8813 prec@top3: 0.8333 recall@top5: 0.9875 prec@top5: 0.5750 loss_action_cls: 0.0675 loss: 0.0675 2022/08/11 13:04:48 - mmengine - INFO - Epoch(train) [4][1140/3842] lr: 7.0244e-02 eta: 3:48:36 time: 0.5181 data_time: 0.0159 memory: 10484 grad_norm: 0.2246 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8472 recall@top3: 0.8750 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0693 loss: 0.0693 2022/08/11 13:04:58 - mmengine - INFO - Epoch(train) [4][1160/3842] lr: 7.0207e-02 eta: 3:48:23 time: 0.4896 data_time: 0.0175 memory: 10484 grad_norm: 0.2065 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8205 recall@top3: 0.8205 prec@top3: 0.7436 recall@top5: 0.8205 prec@top5: 0.4462 loss_action_cls: 0.0630 loss: 0.0630 2022/08/11 13:05:08 - mmengine - INFO - Epoch(train) [4][1180/3842] lr: 7.0169e-02 eta: 3:48:11 time: 0.4975 data_time: 0.0161 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 0.5036 prec@thr=0.5: 0.5725 recall@top3: 0.6558 prec@top3: 0.6087 recall@top5: 0.8442 prec@top5: 0.4870 loss_action_cls: 0.0726 loss: 0.0726 2022/08/11 13:05:18 - mmengine - INFO - Epoch(train) [4][1200/3842] lr: 7.0131e-02 eta: 3:48:00 time: 0.5126 data_time: 0.0164 memory: 10484 grad_norm: 0.2146 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.8070 recall@top3: 0.7105 prec@top3: 0.5789 recall@top5: 0.8772 prec@top5: 0.4421 loss_action_cls: 0.0637 loss: 0.0637 2022/08/11 13:05:28 - mmengine - INFO - Epoch(train) [4][1220/3842] lr: 7.0093e-02 eta: 3:47:49 time: 0.5161 data_time: 0.0193 memory: 10484 grad_norm: 0.2103 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8519 recall@top3: 0.7593 prec@top3: 0.6852 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0616 loss: 0.0616 2022/08/11 13:05:40 - mmengine - INFO - Epoch(train) [4][1240/3842] lr: 7.0056e-02 eta: 3:47:39 time: 0.5707 data_time: 0.0195 memory: 10484 grad_norm: 0.2113 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7667 recall@top3: 0.8333 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0661 loss: 0.0661 2022/08/11 13:05:55 - mmengine - INFO - Epoch(train) [4][1260/3842] lr: 7.0017e-02 eta: 3:47:38 time: 0.7711 data_time: 0.0176 memory: 10484 grad_norm: 0.2173 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.8137 recall@top3: 0.8431 prec@top3: 0.7255 recall@top5: 0.9510 prec@top5: 0.4706 loss_action_cls: 0.0650 loss: 0.0650 2022/08/11 13:06:06 - mmengine - INFO - Epoch(train) [4][1280/3842] lr: 6.9979e-02 eta: 3:47:27 time: 0.5196 data_time: 0.0246 memory: 10484 grad_norm: 0.2112 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.9603 recall@top3: 0.7619 prec@top3: 0.7143 recall@top5: 0.9087 prec@top5: 0.5333 loss_action_cls: 0.0666 loss: 0.0666 2022/08/11 13:06:16 - mmengine - INFO - Epoch(train) [4][1300/3842] lr: 6.9941e-02 eta: 3:47:16 time: 0.5151 data_time: 0.0189 memory: 10484 grad_norm: 0.2021 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.5385 recall@top3: 0.9103 prec@top3: 0.6923 recall@top5: 0.9615 prec@top5: 0.4462 loss_action_cls: 0.0633 loss: 0.0633 2022/08/11 13:06:26 - mmengine - INFO - Epoch(train) [4][1320/3842] lr: 6.9902e-02 eta: 3:47:04 time: 0.5049 data_time: 0.0182 memory: 10484 grad_norm: 0.2074 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6500 recall@top3: 0.9000 prec@top3: 0.5000 recall@top5: 0.9000 prec@top5: 0.3000 loss_action_cls: 0.0695 loss: 0.0695 2022/08/11 13:06:36 - mmengine - INFO - Epoch(train) [4][1340/3842] lr: 6.9864e-02 eta: 3:46:53 time: 0.5130 data_time: 0.0161 memory: 10484 grad_norm: 0.2129 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.6961 recall@top3: 0.8186 prec@top3: 0.6078 recall@top5: 0.9608 prec@top5: 0.4235 loss_action_cls: 0.0698 loss: 0.0698 2022/08/11 13:06:47 - mmengine - INFO - Epoch(train) [4][1360/3842] lr: 6.9825e-02 eta: 3:46:42 time: 0.5324 data_time: 0.0191 memory: 10484 grad_norm: 0.2175 recall@thr=0.5: 0.9222 prec@thr=0.5: 0.8000 recall@top3: 0.8333 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0590 loss: 0.0590 2022/08/11 13:06:57 - mmengine - INFO - Epoch(train) [4][1380/3842] lr: 6.9786e-02 eta: 3:46:31 time: 0.5162 data_time: 0.0163 memory: 10484 grad_norm: 0.2191 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.8571 recall@top3: 0.8333 prec@top3: 0.8333 recall@top5: 0.8929 prec@top5: 0.5429 loss_action_cls: 0.0597 loss: 0.0597 2022/08/11 13:07:09 - mmengine - INFO - Epoch(train) [4][1400/3842] lr: 6.9747e-02 eta: 3:46:23 time: 0.6121 data_time: 0.0216 memory: 10484 grad_norm: 0.2098 recall@thr=0.5: 0.4603 prec@thr=0.5: 0.7143 recall@top3: 0.6905 prec@top3: 0.5873 recall@top5: 0.8413 prec@top5: 0.4476 loss_action_cls: 0.0684 loss: 0.0684 2022/08/11 13:07:20 - mmengine - INFO - Epoch(train) [4][1420/3842] lr: 6.9708e-02 eta: 3:46:12 time: 0.5274 data_time: 0.0172 memory: 10484 grad_norm: 0.2105 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.7857 recall@top3: 0.7738 prec@top3: 0.5714 recall@top5: 0.9405 prec@top5: 0.4143 loss_action_cls: 0.0622 loss: 0.0622 2022/08/11 13:07:30 - mmengine - INFO - Epoch(train) [4][1440/3842] lr: 6.9668e-02 eta: 3:46:00 time: 0.4985 data_time: 0.0166 memory: 10484 grad_norm: 0.2181 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.7333 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0633 loss: 0.0633 2022/08/11 13:07:41 - mmengine - INFO - Epoch(train) [4][1460/3842] lr: 6.9629e-02 eta: 3:45:50 time: 0.5338 data_time: 0.0234 memory: 10484 grad_norm: 0.2175 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7500 recall@top3: 0.7976 prec@top3: 0.6905 recall@top5: 0.9048 prec@top5: 0.4714 loss_action_cls: 0.0554 loss: 0.0554 2022/08/11 13:07:47 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 13:07:51 - mmengine - INFO - Epoch(train) [4][1480/3842] lr: 6.9589e-02 eta: 3:45:38 time: 0.5134 data_time: 0.0174 memory: 10484 grad_norm: 0.2139 recall@thr=0.5: 0.7650 prec@thr=0.5: 0.8250 recall@top3: 0.8233 prec@top3: 0.7333 recall@top5: 0.9300 prec@top5: 0.5100 loss_action_cls: 0.0631 loss: 0.0631 2022/08/11 13:08:01 - mmengine - INFO - Epoch(train) [4][1500/3842] lr: 6.9549e-02 eta: 3:45:26 time: 0.4942 data_time: 0.0184 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.4079 prec@thr=0.5: 0.4737 recall@top3: 0.5307 prec@top3: 0.5088 recall@top5: 0.6842 prec@top5: 0.3789 loss_action_cls: 0.0674 loss: 0.0674 2022/08/11 13:08:11 - mmengine - INFO - Epoch(train) [4][1520/3842] lr: 6.9510e-02 eta: 3:45:14 time: 0.4894 data_time: 0.0138 memory: 10484 grad_norm: 0.2274 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.6444 recall@top3: 0.6806 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0610 loss: 0.0610 2022/08/11 13:08:21 - mmengine - INFO - Epoch(train) [4][1540/3842] lr: 6.9470e-02 eta: 3:45:03 time: 0.5263 data_time: 0.0164 memory: 10484 grad_norm: 0.2244 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8049 recall@top3: 0.7941 prec@top3: 0.7451 recall@top5: 0.9412 prec@top5: 0.5529 loss_action_cls: 0.0537 loss: 0.0537 2022/08/11 13:08:31 - mmengine - INFO - Epoch(train) [4][1560/3842] lr: 6.9429e-02 eta: 3:44:51 time: 0.4902 data_time: 0.0186 memory: 10484 grad_norm: 0.2233 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5833 recall@top3: 0.6190 prec@top3: 0.4286 recall@top5: 0.7976 prec@top5: 0.3286 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 13:08:41 - mmengine - INFO - Epoch(train) [4][1580/3842] lr: 6.9389e-02 eta: 3:44:39 time: 0.5119 data_time: 0.0166 memory: 10484 grad_norm: 0.2118 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8111 recall@top3: 0.7667 prec@top3: 0.7778 recall@top5: 0.9167 prec@top5: 0.5467 loss_action_cls: 0.0655 loss: 0.0655 2022/08/11 13:08:51 - mmengine - INFO - Epoch(train) [4][1600/3842] lr: 6.9349e-02 eta: 3:44:27 time: 0.4888 data_time: 0.0189 memory: 10484 grad_norm: 0.2197 recall@thr=0.5: 0.4254 prec@thr=0.5: 0.4912 recall@top3: 0.5833 prec@top3: 0.4912 recall@top5: 0.8333 prec@top5: 0.3895 loss_action_cls: 0.0684 loss: 0.0684 2022/08/11 13:09:01 - mmengine - INFO - Epoch(train) [4][1620/3842] lr: 6.9308e-02 eta: 3:44:15 time: 0.5150 data_time: 0.0154 memory: 10484 grad_norm: 0.2184 recall@thr=0.5: 0.8156 prec@thr=0.5: 0.8056 recall@top3: 0.8778 prec@top3: 0.7333 recall@top5: 0.9378 prec@top5: 0.4800 loss_action_cls: 0.0631 loss: 0.0631 2022/08/11 13:09:13 - mmengine - INFO - Epoch(train) [4][1640/3842] lr: 6.9268e-02 eta: 3:44:07 time: 0.5810 data_time: 0.0199 memory: 10484 grad_norm: 0.2176 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8465 recall@top3: 0.9474 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0641 loss: 0.0641 2022/08/11 13:09:23 - mmengine - INFO - Epoch(train) [4][1660/3842] lr: 6.9227e-02 eta: 3:43:55 time: 0.5182 data_time: 0.0419 memory: 10484 grad_norm: 0.2228 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8681 recall@top3: 0.8681 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0635 loss: 0.0635 2022/08/11 13:09:33 - mmengine - INFO - Epoch(train) [4][1680/3842] lr: 6.9186e-02 eta: 3:43:44 time: 0.5044 data_time: 0.0186 memory: 10484 grad_norm: 0.2137 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.6026 recall@top3: 0.8462 prec@top3: 0.5385 recall@top5: 1.0000 prec@top5: 0.3846 loss_action_cls: 0.0557 loss: 0.0557 2022/08/11 13:09:44 - mmengine - INFO - Epoch(train) [4][1700/3842] lr: 6.9145e-02 eta: 3:43:33 time: 0.5222 data_time: 0.0206 memory: 10484 grad_norm: 0.2241 recall@thr=0.5: 0.5372 prec@thr=0.5: 0.7949 recall@top3: 0.6513 prec@top3: 0.7179 recall@top5: 0.8000 prec@top5: 0.5385 loss_action_cls: 0.0617 loss: 0.0617 2022/08/11 13:09:55 - mmengine - INFO - Epoch(train) [4][1720/3842] lr: 6.9104e-02 eta: 3:43:22 time: 0.5389 data_time: 0.0409 memory: 10484 grad_norm: 0.2224 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.6491 recall@top3: 0.8947 prec@top3: 0.4211 recall@top5: 0.9211 prec@top5: 0.2632 loss_action_cls: 0.0636 loss: 0.0636 2022/08/11 13:10:05 - mmengine - INFO - Epoch(train) [4][1740/3842] lr: 6.9062e-02 eta: 3:43:11 time: 0.5184 data_time: 0.0169 memory: 10484 grad_norm: 0.2071 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.6111 recall@top3: 0.5833 prec@top3: 0.4444 recall@top5: 0.8472 prec@top5: 0.3667 loss_action_cls: 0.0626 loss: 0.0626 2022/08/11 13:10:15 - mmengine - INFO - Epoch(train) [4][1760/3842] lr: 6.9021e-02 eta: 3:42:59 time: 0.4925 data_time: 0.0175 memory: 10484 grad_norm: 0.2286 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7176 recall@top3: 0.8333 prec@top3: 0.5926 recall@top5: 0.9722 prec@top5: 0.4222 loss_action_cls: 0.0635 loss: 0.0635 2022/08/11 13:10:25 - mmengine - INFO - Epoch(train) [4][1780/3842] lr: 6.8979e-02 eta: 3:42:48 time: 0.5149 data_time: 0.0144 memory: 10484 grad_norm: 0.2141 recall@thr=0.5: 0.8458 prec@thr=0.5: 0.8292 recall@top3: 0.8167 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.5000 loss_action_cls: 0.0638 loss: 0.0638 2022/08/11 13:10:35 - mmengine - INFO - Epoch(train) [4][1800/3842] lr: 6.8937e-02 eta: 3:42:35 time: 0.4911 data_time: 0.0197 memory: 10484 grad_norm: 0.2130 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.6556 recall@top3: 0.6944 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.5600 loss_action_cls: 0.0588 loss: 0.0588 2022/08/11 13:10:45 - mmengine - INFO - Epoch(train) [4][1820/3842] lr: 6.8896e-02 eta: 3:42:24 time: 0.5192 data_time: 0.0153 memory: 10484 grad_norm: 0.2211 recall@thr=0.5: 0.8389 prec@thr=0.5: 0.6056 recall@top3: 0.8389 prec@top3: 0.6000 recall@top5: 0.9278 prec@top5: 0.4133 loss_action_cls: 0.0584 loss: 0.0584 2022/08/11 13:10:55 - mmengine - INFO - Epoch(train) [4][1840/3842] lr: 6.8854e-02 eta: 3:42:13 time: 0.5040 data_time: 0.0185 memory: 10484 grad_norm: 0.2271 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.9583 recall@top3: 0.7517 prec@top3: 0.8167 recall@top5: 0.8842 prec@top5: 0.5900 loss_action_cls: 0.0683 loss: 0.0683 2022/08/11 13:11:06 - mmengine - INFO - Epoch(train) [4][1860/3842] lr: 6.8812e-02 eta: 3:42:01 time: 0.5176 data_time: 0.0219 memory: 10484 grad_norm: 0.2153 recall@thr=0.5: 0.4951 prec@thr=0.5: 0.5343 recall@top3: 0.7843 prec@top3: 0.6667 recall@top5: 0.9314 prec@top5: 0.4941 loss_action_cls: 0.0616 loss: 0.0616 2022/08/11 13:11:16 - mmengine - INFO - Epoch(train) [4][1880/3842] lr: 6.8769e-02 eta: 3:41:50 time: 0.4987 data_time: 0.0177 memory: 10484 grad_norm: 0.2163 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.9015 recall@top3: 0.7841 prec@top3: 0.7273 recall@top5: 0.9280 prec@top5: 0.5364 loss_action_cls: 0.0637 loss: 0.0637 2022/08/11 13:11:27 - mmengine - INFO - Epoch(train) [4][1900/3842] lr: 6.8727e-02 eta: 3:41:39 time: 0.5439 data_time: 0.0152 memory: 10484 grad_norm: 0.2119 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8750 recall@top3: 0.8194 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0545 loss: 0.0545 2022/08/11 13:11:37 - mmengine - INFO - Epoch(train) [4][1920/3842] lr: 6.8684e-02 eta: 3:41:28 time: 0.5168 data_time: 0.0178 memory: 10484 grad_norm: 0.2215 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.8235 recall@top3: 0.7255 prec@top3: 0.7451 recall@top5: 0.9412 prec@top5: 0.5765 loss_action_cls: 0.0649 loss: 0.0649 2022/08/11 13:11:47 - mmengine - INFO - Epoch(train) [4][1940/3842] lr: 6.8642e-02 eta: 3:41:17 time: 0.5151 data_time: 0.0167 memory: 10484 grad_norm: 0.2183 recall@thr=0.5: 0.5655 prec@thr=0.5: 0.6429 recall@top3: 0.8214 prec@top3: 0.6667 recall@top5: 0.9643 prec@top5: 0.4714 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 13:12:00 - mmengine - INFO - Epoch(train) [4][1960/3842] lr: 6.8599e-02 eta: 3:41:09 time: 0.6211 data_time: 0.0209 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.8542 recall@top3: 0.9531 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 13:12:11 - mmengine - INFO - Epoch(train) [4][1980/3842] lr: 6.8556e-02 eta: 3:41:00 time: 0.5551 data_time: 0.0155 memory: 10484 grad_norm: 0.2171 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8718 recall@top3: 0.8013 prec@top3: 0.7692 recall@top5: 0.9615 prec@top5: 0.5692 loss_action_cls: 0.0630 loss: 0.0630 2022/08/11 13:12:22 - mmengine - INFO - Epoch(train) [4][2000/3842] lr: 6.8513e-02 eta: 3:40:49 time: 0.5443 data_time: 0.0173 memory: 10484 grad_norm: 0.2181 recall@thr=0.5: 0.5060 prec@thr=0.5: 0.7143 recall@top3: 0.6905 prec@top3: 0.5714 recall@top5: 0.8095 prec@top5: 0.4286 loss_action_cls: 0.0661 loss: 0.0661 2022/08/11 13:12:32 - mmengine - INFO - Epoch(train) [4][2020/3842] lr: 6.8470e-02 eta: 3:40:38 time: 0.5125 data_time: 0.0174 memory: 10484 grad_norm: 0.2210 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6444 recall@top3: 0.6556 prec@top3: 0.5556 recall@top5: 0.9111 prec@top5: 0.4667 loss_action_cls: 0.0633 loss: 0.0633 2022/08/11 13:12:42 - mmengine - INFO - Epoch(train) [4][2040/3842] lr: 6.8427e-02 eta: 3:40:27 time: 0.5183 data_time: 0.0196 memory: 10484 grad_norm: 0.2201 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8000 recall@top3: 0.7833 prec@top3: 0.7167 recall@top5: 0.9458 prec@top5: 0.5200 loss_action_cls: 0.0587 loss: 0.0587 2022/08/11 13:12:53 - mmengine - INFO - Epoch(train) [4][2060/3842] lr: 6.8383e-02 eta: 3:40:17 time: 0.5416 data_time: 0.0280 memory: 10484 grad_norm: 0.2217 recall@thr=0.5: 0.4769 prec@thr=0.5: 0.6944 recall@top3: 0.6343 prec@top3: 0.6296 recall@top5: 0.8287 prec@top5: 0.4778 loss_action_cls: 0.0682 loss: 0.0682 2022/08/11 13:13:03 - mmengine - INFO - Epoch(train) [4][2080/3842] lr: 6.8340e-02 eta: 3:40:06 time: 0.5226 data_time: 0.0181 memory: 10484 grad_norm: 0.2185 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.8125 recall@top3: 0.6292 prec@top3: 0.7292 recall@top5: 0.8813 prec@top5: 0.6125 loss_action_cls: 0.0616 loss: 0.0616 2022/08/11 13:13:18 - mmengine - INFO - Epoch(train) [4][2100/3842] lr: 6.8296e-02 eta: 3:40:02 time: 0.7258 data_time: 0.0177 memory: 10484 grad_norm: 0.2101 recall@thr=0.5: 0.5935 prec@thr=0.5: 0.7145 recall@top3: 0.6580 prec@top3: 0.6667 recall@top5: 0.9609 prec@top5: 0.5826 loss_action_cls: 0.0610 loss: 0.0610 2022/08/11 13:13:29 - mmengine - INFO - Epoch(train) [4][2120/3842] lr: 6.8252e-02 eta: 3:39:52 time: 0.5408 data_time: 0.0254 memory: 10484 grad_norm: 0.2145 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.8421 recall@top3: 0.7939 prec@top3: 0.6491 recall@top5: 0.8684 prec@top5: 0.4421 loss_action_cls: 0.0623 loss: 0.0623 2022/08/11 13:13:39 - mmengine - INFO - Epoch(train) [4][2140/3842] lr: 6.8208e-02 eta: 3:39:40 time: 0.4994 data_time: 0.0181 memory: 10484 grad_norm: 0.2029 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.8000 recall@top3: 0.8222 prec@top3: 0.7556 recall@top5: 0.9111 prec@top5: 0.5067 loss_action_cls: 0.0584 loss: 0.0584 2022/08/11 13:13:52 - mmengine - INFO - Epoch(train) [4][2160/3842] lr: 6.8164e-02 eta: 3:39:33 time: 0.6464 data_time: 0.0176 memory: 10484 grad_norm: 0.2318 recall@thr=0.5: 0.3846 prec@thr=0.5: 0.6603 recall@top3: 0.7244 prec@top3: 0.5641 recall@top5: 0.9615 prec@top5: 0.4462 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 13:14:02 - mmengine - INFO - Epoch(train) [4][2180/3842] lr: 6.8120e-02 eta: 3:39:22 time: 0.5106 data_time: 0.0207 memory: 10484 grad_norm: 0.2135 recall@thr=0.5: 0.7493 prec@thr=0.5: 0.7986 recall@top3: 0.8694 prec@top3: 0.7778 recall@top5: 0.9521 prec@top5: 0.5250 loss_action_cls: 0.0608 loss: 0.0608 2022/08/11 13:14:12 - mmengine - INFO - Epoch(train) [4][2200/3842] lr: 6.8076e-02 eta: 3:39:11 time: 0.5177 data_time: 0.0182 memory: 10484 grad_norm: 0.2140 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7222 recall@top3: 0.8111 prec@top3: 0.6889 recall@top5: 0.9111 prec@top5: 0.4800 loss_action_cls: 0.0611 loss: 0.0611 2022/08/11 13:14:23 - mmengine - INFO - Epoch(train) [4][2220/3842] lr: 6.8031e-02 eta: 3:38:59 time: 0.5173 data_time: 0.0173 memory: 10484 grad_norm: 0.2285 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7879 recall@top3: 0.9394 prec@top3: 0.8485 recall@top5: 0.9697 prec@top5: 0.5273 loss_action_cls: 0.0619 loss: 0.0619 2022/08/11 13:14:33 - mmengine - INFO - Epoch(train) [4][2240/3842] lr: 6.7987e-02 eta: 3:38:47 time: 0.4930 data_time: 0.0192 memory: 10484 grad_norm: 0.2386 recall@thr=0.5: 0.4848 prec@thr=0.5: 0.4697 recall@top3: 0.6061 prec@top3: 0.5152 recall@top5: 0.7273 prec@top5: 0.3818 loss_action_cls: 0.0658 loss: 0.0658 2022/08/11 13:14:44 - mmengine - INFO - Epoch(train) [4][2260/3842] lr: 6.7942e-02 eta: 3:38:39 time: 0.5923 data_time: 0.0163 memory: 10484 grad_norm: 0.2159 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.7778 recall@top3: 0.8611 prec@top3: 0.6852 recall@top5: 0.9583 prec@top5: 0.4778 loss_action_cls: 0.0691 loss: 0.0691 2022/08/11 13:14:54 - mmengine - INFO - Epoch(train) [4][2280/3842] lr: 6.7897e-02 eta: 3:38:27 time: 0.4923 data_time: 0.0166 memory: 10484 grad_norm: 0.2137 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9417 recall@top3: 0.9667 prec@top3: 0.8500 recall@top5: 1.0000 prec@top5: 0.5300 loss_action_cls: 0.0585 loss: 0.0585 2022/08/11 13:15:07 - mmengine - INFO - Epoch(train) [4][2300/3842] lr: 6.7852e-02 eta: 3:38:20 time: 0.6520 data_time: 0.0160 memory: 10484 grad_norm: 0.2147 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.5521 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0637 loss: 0.0637 2022/08/11 13:15:18 - mmengine - INFO - Epoch(train) [4][2320/3842] lr: 6.7807e-02 eta: 3:38:09 time: 0.5130 data_time: 0.0173 memory: 10484 grad_norm: 0.2151 recall@thr=0.5: 0.8608 prec@thr=0.5: 0.8608 recall@top3: 0.8588 prec@top3: 0.8431 recall@top5: 0.9490 prec@top5: 0.5647 loss_action_cls: 0.0571 loss: 0.0571 2022/08/11 13:15:28 - mmengine - INFO - Epoch(train) [4][2340/3842] lr: 6.7762e-02 eta: 3:37:58 time: 0.5175 data_time: 0.0179 memory: 10484 grad_norm: 0.2166 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.9286 recall@top3: 0.8690 prec@top3: 0.8095 recall@top5: 0.9524 prec@top5: 0.5429 loss_action_cls: 0.0606 loss: 0.0606 2022/08/11 13:15:39 - mmengine - INFO - Epoch(train) [4][2360/3842] lr: 6.7716e-02 eta: 3:37:48 time: 0.5564 data_time: 0.0166 memory: 10484 grad_norm: 0.2126 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.8611 recall@top3: 0.7639 prec@top3: 0.7500 recall@top5: 0.9028 prec@top5: 0.5500 loss_action_cls: 0.0619 loss: 0.0619 2022/08/11 13:15:50 - mmengine - INFO - Epoch(train) [4][2380/3842] lr: 6.7671e-02 eta: 3:37:38 time: 0.5390 data_time: 0.0189 memory: 10484 grad_norm: 0.2063 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6167 recall@top3: 0.9667 prec@top3: 0.5333 recall@top5: 1.0000 prec@top5: 0.3400 loss_action_cls: 0.0574 loss: 0.0574 2022/08/11 13:16:00 - mmengine - INFO - Epoch(train) [4][2400/3842] lr: 6.7625e-02 eta: 3:37:26 time: 0.5180 data_time: 0.0223 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.5476 recall@top3: 0.7143 prec@top3: 0.4762 recall@top5: 0.9286 prec@top5: 0.3429 loss_action_cls: 0.0618 loss: 0.0618 2022/08/11 13:16:10 - mmengine - INFO - Epoch(train) [4][2420/3842] lr: 6.7580e-02 eta: 3:37:14 time: 0.4937 data_time: 0.0189 memory: 10484 grad_norm: 0.2171 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8426 recall@top3: 0.7917 prec@top3: 0.7407 recall@top5: 0.9074 prec@top5: 0.5333 loss_action_cls: 0.0619 loss: 0.0619 2022/08/11 13:16:20 - mmengine - INFO - Epoch(train) [4][2440/3842] lr: 6.7534e-02 eta: 3:37:03 time: 0.5170 data_time: 0.0174 memory: 10484 grad_norm: 0.2157 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7847 recall@top3: 0.7917 prec@top3: 0.7500 recall@top5: 0.9722 prec@top5: 0.5833 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 13:16:31 - mmengine - INFO - Epoch(train) [4][2460/3842] lr: 6.7488e-02 eta: 3:36:53 time: 0.5316 data_time: 0.0207 memory: 10484 grad_norm: 0.2213 recall@thr=0.5: 0.5781 prec@thr=0.5: 0.6094 recall@top3: 0.6719 prec@top3: 0.5833 recall@top5: 0.9062 prec@top5: 0.4625 loss_action_cls: 0.0639 loss: 0.0639 2022/08/11 13:16:38 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 13:16:42 - mmengine - INFO - Epoch(train) [4][2480/3842] lr: 6.7442e-02 eta: 3:36:43 time: 0.5622 data_time: 0.0180 memory: 10484 grad_norm: 0.2198 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.8667 recall@top3: 0.8500 prec@top3: 0.7333 recall@top5: 0.9389 prec@top5: 0.4933 loss_action_cls: 0.0701 loss: 0.0701 2022/08/11 13:16:53 - mmengine - INFO - Epoch(train) [4][2500/3842] lr: 6.7396e-02 eta: 3:36:32 time: 0.5205 data_time: 0.0175 memory: 10484 grad_norm: 0.2210 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7111 recall@top3: 0.9111 prec@top3: 0.6889 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0622 loss: 0.0622 2022/08/11 13:17:03 - mmengine - INFO - Epoch(train) [4][2520/3842] lr: 6.7349e-02 eta: 3:36:21 time: 0.5127 data_time: 0.0184 memory: 10484 grad_norm: 0.2231 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8095 recall@top3: 0.8393 prec@top3: 0.7381 recall@top5: 0.9048 prec@top5: 0.4857 loss_action_cls: 0.0698 loss: 0.0698 2022/08/11 13:17:13 - mmengine - INFO - Epoch(train) [4][2540/3842] lr: 6.7303e-02 eta: 3:36:09 time: 0.5170 data_time: 0.0177 memory: 10484 grad_norm: 0.2135 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.9608 recall@top3: 0.8333 prec@top3: 0.8235 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0599 loss: 0.0599 2022/08/11 13:17:24 - mmengine - INFO - Epoch(train) [4][2560/3842] lr: 6.7256e-02 eta: 3:35:58 time: 0.5168 data_time: 0.0190 memory: 10484 grad_norm: 0.2142 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.7745 recall@top3: 0.9265 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 13:17:34 - mmengine - INFO - Epoch(train) [4][2580/3842] lr: 6.7209e-02 eta: 3:35:47 time: 0.5161 data_time: 0.0180 memory: 10484 grad_norm: 0.2176 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8590 recall@top3: 0.7821 prec@top3: 0.5897 recall@top5: 0.9487 prec@top5: 0.4462 loss_action_cls: 0.0593 loss: 0.0593 2022/08/11 13:17:44 - mmengine - INFO - Epoch(train) [4][2600/3842] lr: 6.7163e-02 eta: 3:35:36 time: 0.5184 data_time: 0.0184 memory: 10484 grad_norm: 0.2141 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8826 recall@top3: 0.7803 prec@top3: 0.7121 recall@top5: 0.9697 prec@top5: 0.5273 loss_action_cls: 0.0609 loss: 0.0609 2022/08/11 13:17:54 - mmengine - INFO - Epoch(train) [4][2620/3842] lr: 6.7116e-02 eta: 3:35:24 time: 0.4875 data_time: 0.0162 memory: 10484 grad_norm: 0.2181 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.5119 recall@top3: 0.5893 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.4429 loss_action_cls: 0.0631 loss: 0.0631 2022/08/11 13:18:05 - mmengine - INFO - Epoch(train) [4][2640/3842] lr: 6.7069e-02 eta: 3:35:13 time: 0.5262 data_time: 0.0162 memory: 10484 grad_norm: 0.2182 recall@thr=0.5: 0.6230 prec@thr=0.5: 0.7381 recall@top3: 0.8135 prec@top3: 0.6349 recall@top5: 0.9524 prec@top5: 0.4667 loss_action_cls: 0.0680 loss: 0.0680 2022/08/11 13:18:16 - mmengine - INFO - Epoch(train) [4][2660/3842] lr: 6.7021e-02 eta: 3:35:04 time: 0.5745 data_time: 0.0257 memory: 10484 grad_norm: 0.2259 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6667 recall@top3: 0.6961 prec@top3: 0.5294 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0653 loss: 0.0653 2022/08/11 13:18:26 - mmengine - INFO - Epoch(train) [4][2680/3842] lr: 6.6974e-02 eta: 3:34:52 time: 0.5196 data_time: 0.0172 memory: 10484 grad_norm: 0.2141 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.8519 recall@top3: 0.8565 prec@top3: 0.7407 recall@top5: 0.9630 prec@top5: 0.5000 loss_action_cls: 0.0640 loss: 0.0640 2022/08/11 13:18:37 - mmengine - INFO - Epoch(train) [4][2700/3842] lr: 6.6927e-02 eta: 3:34:42 time: 0.5291 data_time: 0.0203 memory: 10484 grad_norm: 0.2259 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.7917 recall@top3: 0.6417 prec@top3: 0.5833 recall@top5: 0.8139 prec@top5: 0.4500 loss_action_cls: 0.0649 loss: 0.0649 2022/08/11 13:18:47 - mmengine - INFO - Epoch(train) [4][2720/3842] lr: 6.6879e-02 eta: 3:34:30 time: 0.4915 data_time: 0.0174 memory: 10484 grad_norm: 0.2187 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.8137 recall@top3: 0.8088 prec@top3: 0.6863 recall@top5: 0.9853 prec@top5: 0.5059 loss_action_cls: 0.0689 loss: 0.0689 2022/08/11 13:18:57 - mmengine - INFO - Epoch(train) [4][2740/3842] lr: 6.6831e-02 eta: 3:34:19 time: 0.5201 data_time: 0.0163 memory: 10484 grad_norm: 0.2165 recall@thr=0.5: 0.6773 prec@thr=0.5: 0.7576 recall@top3: 0.6697 prec@top3: 0.6970 recall@top5: 0.8985 prec@top5: 0.5273 loss_action_cls: 0.0611 loss: 0.0611 2022/08/11 13:19:09 - mmengine - INFO - Epoch(train) [4][2760/3842] lr: 6.6783e-02 eta: 3:34:10 time: 0.5922 data_time: 0.0183 memory: 10484 grad_norm: 0.2287 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8519 recall@top3: 0.8981 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0675 loss: 0.0675 2022/08/11 13:19:20 - mmengine - INFO - Epoch(train) [4][2780/3842] lr: 6.6736e-02 eta: 3:33:59 time: 0.5253 data_time: 0.0217 memory: 10484 grad_norm: 0.2097 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7368 recall@top3: 0.7325 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.5158 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 13:19:30 - mmengine - INFO - Epoch(train) [4][2800/3842] lr: 6.6687e-02 eta: 3:33:47 time: 0.4958 data_time: 0.0171 memory: 10484 grad_norm: 0.2167 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9259 recall@top3: 0.9074 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0610 loss: 0.0610 2022/08/11 13:19:40 - mmengine - INFO - Epoch(train) [4][2820/3842] lr: 6.6639e-02 eta: 3:33:36 time: 0.5165 data_time: 0.0167 memory: 10484 grad_norm: 0.2219 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.7206 recall@top3: 0.8039 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0706 loss: 0.0706 2022/08/11 13:19:50 - mmengine - INFO - Epoch(train) [4][2840/3842] lr: 6.6591e-02 eta: 3:33:25 time: 0.5221 data_time: 0.0174 memory: 10484 grad_norm: 0.2177 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.7750 recall@top3: 0.7875 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0607 loss: 0.0607 2022/08/11 13:20:03 - mmengine - INFO - Epoch(train) [4][2860/3842] lr: 6.6543e-02 eta: 3:33:18 time: 0.6411 data_time: 0.0213 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7833 recall@top3: 0.8393 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 13:20:14 - mmengine - INFO - Epoch(train) [4][2880/3842] lr: 6.6494e-02 eta: 3:33:07 time: 0.5212 data_time: 0.0205 memory: 10484 grad_norm: 0.2164 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7368 recall@top3: 0.7632 prec@top3: 0.6491 recall@top5: 0.8246 prec@top5: 0.4211 loss_action_cls: 0.0613 loss: 0.0613 2022/08/11 13:20:24 - mmengine - INFO - Epoch(train) [4][2900/3842] lr: 6.6445e-02 eta: 3:32:56 time: 0.5183 data_time: 0.0167 memory: 10484 grad_norm: 0.2275 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.8095 recall@top3: 0.7698 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.5429 loss_action_cls: 0.0664 loss: 0.0664 2022/08/11 13:20:34 - mmengine - INFO - Epoch(train) [4][2920/3842] lr: 6.6396e-02 eta: 3:32:45 time: 0.5238 data_time: 0.0197 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.7895 recall@top3: 0.8333 prec@top3: 0.6316 recall@top5: 0.9211 prec@top5: 0.4316 loss_action_cls: 0.0674 loss: 0.0674 2022/08/11 13:20:51 - mmengine - INFO - Epoch(train) [4][2940/3842] lr: 6.6348e-02 eta: 3:32:44 time: 0.8162 data_time: 0.3117 memory: 10484 grad_norm: 0.2214 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.7976 recall@top3: 0.8651 prec@top3: 0.8095 recall@top5: 0.9286 prec@top5: 0.5238 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 13:21:01 - mmengine - INFO - Epoch(train) [4][2960/3842] lr: 6.6299e-02 eta: 3:32:32 time: 0.5074 data_time: 0.0159 memory: 10484 grad_norm: 0.2221 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.7262 recall@top3: 0.9048 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 13:21:11 - mmengine - INFO - Epoch(train) [4][2980/3842] lr: 6.6249e-02 eta: 3:32:21 time: 0.5152 data_time: 0.0212 memory: 10484 grad_norm: 0.2202 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.7440 recall@top3: 0.6964 prec@top3: 0.6905 recall@top5: 0.8690 prec@top5: 0.5000 loss_action_cls: 0.0620 loss: 0.0620 2022/08/11 13:21:22 - mmengine - INFO - Epoch(train) [4][3000/3842] lr: 6.6200e-02 eta: 3:32:10 time: 0.5169 data_time: 0.0170 memory: 10484 grad_norm: 0.2324 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8125 recall@top3: 0.8021 prec@top3: 0.7778 recall@top5: 0.9722 prec@top5: 0.5583 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 13:21:34 - mmengine - INFO - Epoch(train) [4][3020/3842] lr: 6.6151e-02 eta: 3:32:02 time: 0.6233 data_time: 0.0181 memory: 10484 grad_norm: 0.2153 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.6222 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4533 loss_action_cls: 0.0624 loss: 0.0624 2022/08/11 13:21:46 - mmengine - INFO - Epoch(train) [4][3040/3842] lr: 6.6101e-02 eta: 3:31:54 time: 0.6088 data_time: 0.0187 memory: 10484 grad_norm: 0.2183 recall@thr=0.5: 0.7196 prec@thr=0.5: 0.9058 recall@top3: 0.8312 prec@top3: 0.7101 recall@top5: 0.9312 prec@top5: 0.4957 loss_action_cls: 0.0583 loss: 0.0583 2022/08/11 13:21:56 - mmengine - INFO - Epoch(train) [4][3060/3842] lr: 6.6052e-02 eta: 3:31:42 time: 0.4923 data_time: 0.0181 memory: 10484 grad_norm: 0.2225 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.7870 recall@top3: 0.7824 prec@top3: 0.6481 recall@top5: 0.8935 prec@top5: 0.4667 loss_action_cls: 0.0644 loss: 0.0644 2022/08/11 13:22:06 - mmengine - INFO - Epoch(train) [4][3080/3842] lr: 6.6002e-02 eta: 3:31:31 time: 0.5116 data_time: 0.0153 memory: 10484 grad_norm: 0.2140 recall@thr=0.5: 0.7742 prec@thr=0.5: 0.8220 recall@top3: 0.8402 prec@top3: 0.7576 recall@top5: 0.8811 prec@top5: 0.4909 loss_action_cls: 0.0644 loss: 0.0644 2022/08/11 13:22:18 - mmengine - INFO - Epoch(train) [4][3100/3842] lr: 6.5952e-02 eta: 3:31:22 time: 0.5883 data_time: 0.0181 memory: 10484 grad_norm: 0.2111 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6458 recall@top3: 0.7760 prec@top3: 0.5833 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0666 loss: 0.0666 2022/08/11 13:22:28 - mmengine - INFO - Epoch(train) [4][3120/3842] lr: 6.5902e-02 eta: 3:31:10 time: 0.5162 data_time: 0.0181 memory: 10484 grad_norm: 0.2094 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6154 recall@top3: 0.6436 prec@top3: 0.4872 recall@top5: 0.8385 prec@top5: 0.3846 loss_action_cls: 0.0669 loss: 0.0669 2022/08/11 13:22:39 - mmengine - INFO - Epoch(train) [4][3140/3842] lr: 6.5852e-02 eta: 3:30:59 time: 0.5173 data_time: 0.0178 memory: 10484 grad_norm: 0.2238 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.9792 recall@top3: 0.9010 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0601 loss: 0.0601 2022/08/11 13:22:49 - mmengine - INFO - Epoch(train) [4][3160/3842] lr: 6.5802e-02 eta: 3:30:48 time: 0.5187 data_time: 0.0181 memory: 10484 grad_norm: 0.2357 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.4583 recall@top3: 0.6528 prec@top3: 0.3611 recall@top5: 0.7917 prec@top5: 0.2833 loss_action_cls: 0.0684 loss: 0.0684 2022/08/11 13:23:00 - mmengine - INFO - Epoch(train) [4][3180/3842] lr: 6.5751e-02 eta: 3:30:37 time: 0.5285 data_time: 0.0178 memory: 10484 grad_norm: 0.2293 recall@thr=0.5: 0.8614 prec@thr=0.5: 0.9737 recall@top3: 0.9228 prec@top3: 0.7719 recall@top5: 0.9825 prec@top5: 0.5158 loss_action_cls: 0.0628 loss: 0.0628 2022/08/11 13:23:10 - mmengine - INFO - Epoch(train) [4][3200/3842] lr: 6.5701e-02 eta: 3:30:26 time: 0.5147 data_time: 0.0176 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8627 recall@top3: 0.8137 prec@top3: 0.7255 recall@top5: 0.9608 prec@top5: 0.5176 loss_action_cls: 0.0656 loss: 0.0656 2022/08/11 13:23:20 - mmengine - INFO - Epoch(train) [4][3220/3842] lr: 6.5650e-02 eta: 3:30:14 time: 0.4911 data_time: 0.0208 memory: 10484 grad_norm: 0.2065 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8393 recall@top3: 0.9286 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 13:23:30 - mmengine - INFO - Epoch(train) [4][3240/3842] lr: 6.5599e-02 eta: 3:30:03 time: 0.5118 data_time: 0.0158 memory: 10484 grad_norm: 0.2327 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.9545 recall@top3: 0.9091 prec@top3: 0.6970 recall@top5: 0.9697 prec@top5: 0.4545 loss_action_cls: 0.0609 loss: 0.0609 2022/08/11 13:23:41 - mmengine - INFO - Epoch(train) [4][3260/3842] lr: 6.5549e-02 eta: 3:29:52 time: 0.5318 data_time: 0.0187 memory: 10484 grad_norm: 0.2234 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.7197 recall@top3: 0.7841 prec@top3: 0.7121 recall@top5: 0.9015 prec@top5: 0.5000 loss_action_cls: 0.0660 loss: 0.0660 2022/08/11 13:23:51 - mmengine - INFO - Epoch(train) [4][3280/3842] lr: 6.5498e-02 eta: 3:29:41 time: 0.5198 data_time: 0.0201 memory: 10484 grad_norm: 0.2094 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.5980 recall@top3: 0.8627 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0564 loss: 0.0564 2022/08/11 13:24:01 - mmengine - INFO - Epoch(train) [4][3300/3842] lr: 6.5447e-02 eta: 3:29:30 time: 0.5141 data_time: 0.0167 memory: 10484 grad_norm: 0.2145 recall@thr=0.5: 0.8657 prec@thr=0.5: 0.8796 recall@top3: 0.8981 prec@top3: 0.7963 recall@top5: 0.9444 prec@top5: 0.5111 loss_action_cls: 0.0656 loss: 0.0656 2022/08/11 13:24:13 - mmengine - INFO - Epoch(train) [4][3320/3842] lr: 6.5395e-02 eta: 3:29:21 time: 0.5854 data_time: 0.0178 memory: 10484 grad_norm: 0.2160 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.7976 recall@top3: 0.8988 prec@top3: 0.7143 recall@top5: 0.9345 prec@top5: 0.4429 loss_action_cls: 0.0589 loss: 0.0589 2022/08/11 13:24:24 - mmengine - INFO - Epoch(train) [4][3340/3842] lr: 6.5344e-02 eta: 3:29:10 time: 0.5287 data_time: 0.0250 memory: 10484 grad_norm: 0.2151 recall@thr=0.5: 0.5956 prec@thr=0.5: 0.6667 recall@top3: 0.6132 prec@top3: 0.5614 recall@top5: 0.8395 prec@top5: 0.4632 loss_action_cls: 0.0649 loss: 0.0649 2022/08/11 13:24:36 - mmengine - INFO - Epoch(train) [4][3360/3842] lr: 6.5293e-02 eta: 3:29:01 time: 0.5966 data_time: 0.0787 memory: 10484 grad_norm: 0.2195 recall@thr=0.5: 0.7140 prec@thr=0.5: 0.8246 recall@top3: 0.7965 prec@top3: 0.6842 recall@top5: 0.9491 prec@top5: 0.5158 loss_action_cls: 0.0545 loss: 0.0545 2022/08/11 13:24:46 - mmengine - INFO - Epoch(train) [4][3380/3842] lr: 6.5241e-02 eta: 3:28:50 time: 0.5248 data_time: 0.0252 memory: 10484 grad_norm: 0.2198 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7593 recall@top3: 0.8889 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.4111 loss_action_cls: 0.0655 loss: 0.0655 2022/08/11 13:24:57 - mmengine - INFO - Epoch(train) [4][3400/3842] lr: 6.5190e-02 eta: 3:28:41 time: 0.5590 data_time: 0.0187 memory: 10484 grad_norm: 0.2357 recall@thr=0.5: 0.8590 prec@thr=0.5: 0.8333 recall@top3: 0.9359 prec@top3: 0.6667 recall@top5: 0.9744 prec@top5: 0.4308 loss_action_cls: 0.0589 loss: 0.0589 2022/08/11 13:25:08 - mmengine - INFO - Epoch(train) [4][3420/3842] lr: 6.5138e-02 eta: 3:28:30 time: 0.5228 data_time: 0.0167 memory: 10484 grad_norm: 0.2175 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.7396 recall@top3: 0.7604 prec@top3: 0.7083 recall@top5: 0.8906 prec@top5: 0.5125 loss_action_cls: 0.0693 loss: 0.0693 2022/08/11 13:25:18 - mmengine - INFO - Epoch(train) [4][3440/3842] lr: 6.5086e-02 eta: 3:28:18 time: 0.4929 data_time: 0.0180 memory: 10484 grad_norm: 0.2223 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.5500 recall@top3: 0.7083 prec@top3: 0.6042 recall@top5: 0.9271 prec@top5: 0.4375 loss_action_cls: 0.0588 loss: 0.0588 2022/08/11 13:25:28 - mmengine - INFO - Epoch(train) [4][3460/3842] lr: 6.5034e-02 eta: 3:28:07 time: 0.5207 data_time: 0.0157 memory: 10484 grad_norm: 0.2198 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.8148 recall@top3: 0.8241 prec@top3: 0.7222 recall@top5: 0.9213 prec@top5: 0.4889 loss_action_cls: 0.0696 loss: 0.0696 2022/08/11 13:25:35 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 13:25:38 - mmengine - INFO - Epoch(train) [4][3480/3842] lr: 6.4982e-02 eta: 3:27:55 time: 0.5023 data_time: 0.0177 memory: 10484 grad_norm: 0.2189 recall@thr=0.5: 0.8833 prec@thr=0.5: 0.8750 recall@top3: 0.8764 prec@top3: 0.8889 recall@top5: 1.0000 prec@top5: 0.6333 loss_action_cls: 0.0659 loss: 0.0659 2022/08/11 13:25:52 - mmengine - INFO - Epoch(train) [4][3500/3842] lr: 6.4930e-02 eta: 3:27:50 time: 0.6997 data_time: 0.1856 memory: 10484 grad_norm: 0.2139 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.7319 recall@top3: 0.7623 prec@top3: 0.6812 recall@top5: 0.8768 prec@top5: 0.4870 loss_action_cls: 0.0625 loss: 0.0625 2022/08/11 13:26:02 - mmengine - INFO - Epoch(train) [4][3520/3842] lr: 6.4877e-02 eta: 3:27:38 time: 0.5167 data_time: 0.0177 memory: 10484 grad_norm: 0.2315 recall@thr=0.5: 0.8294 prec@thr=0.5: 0.8770 recall@top3: 0.8452 prec@top3: 0.7460 recall@top5: 0.9286 prec@top5: 0.4952 loss_action_cls: 0.0607 loss: 0.0607 2022/08/11 13:26:13 - mmengine - INFO - Epoch(train) [4][3540/3842] lr: 6.4825e-02 eta: 3:27:27 time: 0.5161 data_time: 0.0173 memory: 10484 grad_norm: 0.2110 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.7941 recall@top3: 0.6863 prec@top3: 0.6078 recall@top5: 0.8824 prec@top5: 0.4706 loss_action_cls: 0.0613 loss: 0.0613 2022/08/11 13:26:23 - mmengine - INFO - Epoch(train) [4][3560/3842] lr: 6.4772e-02 eta: 3:27:16 time: 0.5139 data_time: 0.0203 memory: 10484 grad_norm: 0.2119 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8833 recall@top3: 0.8833 prec@top3: 0.8167 recall@top5: 0.9500 prec@top5: 0.5300 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 13:26:33 - mmengine - INFO - Epoch(train) [4][3580/3842] lr: 6.4720e-02 eta: 3:27:05 time: 0.5128 data_time: 0.0170 memory: 10484 grad_norm: 0.2209 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.7500 recall@top3: 0.8205 prec@top3: 0.5897 recall@top5: 0.9231 prec@top5: 0.4154 loss_action_cls: 0.0585 loss: 0.0585 2022/08/11 13:26:44 - mmengine - INFO - Epoch(train) [4][3600/3842] lr: 6.4667e-02 eta: 3:26:54 time: 0.5168 data_time: 0.0180 memory: 10484 grad_norm: 0.2251 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8627 recall@top3: 0.8676 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5412 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 13:26:54 - mmengine - INFO - Epoch(train) [4][3620/3842] lr: 6.4614e-02 eta: 3:26:42 time: 0.5146 data_time: 0.0182 memory: 10484 grad_norm: 0.2139 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7389 recall@top3: 0.8000 prec@top3: 0.6444 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0646 loss: 0.0646 2022/08/11 13:27:04 - mmengine - INFO - Epoch(train) [4][3640/3842] lr: 6.4561e-02 eta: 3:26:31 time: 0.5203 data_time: 0.0180 memory: 10484 grad_norm: 0.2110 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.5750 recall@top3: 0.7458 prec@top3: 0.5333 recall@top5: 0.9250 prec@top5: 0.4100 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 13:27:15 - mmengine - INFO - Epoch(train) [4][3660/3842] lr: 6.4508e-02 eta: 3:26:20 time: 0.5200 data_time: 0.0193 memory: 10484 grad_norm: 0.2213 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7546 recall@top3: 0.6898 prec@top3: 0.7222 recall@top5: 0.8519 prec@top5: 0.5222 loss_action_cls: 0.0636 loss: 0.0636 2022/08/11 13:27:25 - mmengine - INFO - Epoch(train) [4][3680/3842] lr: 6.4455e-02 eta: 3:26:08 time: 0.4955 data_time: 0.0189 memory: 10484 grad_norm: 0.2161 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.6364 recall@top3: 0.7727 prec@top3: 0.5455 recall@top5: 0.8182 prec@top5: 0.3455 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 13:27:34 - mmengine - INFO - Epoch(train) [4][3700/3842] lr: 6.4401e-02 eta: 3:25:57 time: 0.4976 data_time: 0.0153 memory: 10484 grad_norm: 0.2275 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7619 recall@top3: 0.8333 prec@top3: 0.7302 recall@top5: 0.9603 prec@top5: 0.5143 loss_action_cls: 0.0625 loss: 0.0625 2022/08/11 13:27:44 - mmengine - INFO - Epoch(train) [4][3720/3842] lr: 6.4348e-02 eta: 3:25:45 time: 0.4895 data_time: 0.0188 memory: 10484 grad_norm: 0.2150 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8021 recall@top3: 0.9167 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.4750 loss_action_cls: 0.0661 loss: 0.0661 2022/08/11 13:27:55 - mmengine - INFO - Epoch(train) [4][3740/3842] lr: 6.4294e-02 eta: 3:25:34 time: 0.5176 data_time: 0.0145 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8509 recall@top3: 0.8333 prec@top3: 0.7544 recall@top5: 0.9649 prec@top5: 0.5368 loss_action_cls: 0.0698 loss: 0.0698 2022/08/11 13:28:05 - mmengine - INFO - Epoch(train) [4][3760/3842] lr: 6.4241e-02 eta: 3:25:22 time: 0.5127 data_time: 0.0174 memory: 10484 grad_norm: 0.2142 recall@thr=0.5: 0.5733 prec@thr=0.5: 0.7567 recall@top3: 0.7300 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.5760 loss_action_cls: 0.0640 loss: 0.0640 2022/08/11 13:28:15 - mmengine - INFO - Epoch(train) [4][3780/3842] lr: 6.4187e-02 eta: 3:25:11 time: 0.5147 data_time: 0.0180 memory: 10484 grad_norm: 0.2063 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6771 recall@top3: 0.7760 prec@top3: 0.6042 recall@top5: 0.8646 prec@top5: 0.4250 loss_action_cls: 0.0652 loss: 0.0652 2022/08/11 13:28:25 - mmengine - INFO - Epoch(train) [4][3800/3842] lr: 6.4133e-02 eta: 3:25:00 time: 0.5088 data_time: 0.0177 memory: 10484 grad_norm: 0.2240 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.6731 recall@top3: 0.6795 prec@top3: 0.6410 recall@top5: 0.8397 prec@top5: 0.4923 loss_action_cls: 0.0598 loss: 0.0598 2022/08/11 13:28:36 - mmengine - INFO - Epoch(train) [4][3820/3842] lr: 6.4079e-02 eta: 3:24:49 time: 0.5168 data_time: 0.0191 memory: 10484 grad_norm: 0.2192 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8636 recall@top3: 0.8447 prec@top3: 0.8485 recall@top5: 0.9205 prec@top5: 0.5636 loss_action_cls: 0.0641 loss: 0.0641 2022/08/11 13:28:46 - mmengine - INFO - Epoch(train) [4][3840/3842] lr: 6.4025e-02 eta: 3:24:37 time: 0.5139 data_time: 0.0163 memory: 10484 grad_norm: 0.2107 recall@thr=0.5: 0.6405 prec@thr=0.5: 0.7976 recall@top3: 0.8476 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.3857 loss_action_cls: 0.0587 loss: 0.0587 2022/08/11 13:28:47 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 13:28:47 - mmengine - INFO - Epoch(train) [4][3842/3842] lr: 6.4019e-02 eta: 3:24:37 time: 0.5025 data_time: 0.0156 memory: 10484 grad_norm: 0.2237 recall@thr=0.5: 0.9048 prec@thr=0.5: 0.9048 recall@top3: 1.0000 prec@top3: 0.8571 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 13:28:47 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/11 13:28:56 - mmengine - INFO - Epoch(val) [4][20/6282] eta: 0:19:57 time: 0.1912 data_time: 0.1422 memory: 703 2022/08/11 13:28:57 - mmengine - INFO - Epoch(val) [4][40/6282] eta: 0:08:53 time: 0.0855 data_time: 0.0368 memory: 703 2022/08/11 13:28:59 - mmengine - INFO - Epoch(val) [4][60/6282] eta: 0:07:21 time: 0.0709 data_time: 0.0264 memory: 703 2022/08/11 13:29:00 - mmengine - INFO - Epoch(val) [4][80/6282] eta: 0:05:45 time: 0.0557 data_time: 0.0071 memory: 703 2022/08/11 13:29:01 - mmengine - INFO - Epoch(val) [4][100/6282] eta: 0:05:18 time: 0.0515 data_time: 0.0033 memory: 703 2022/08/11 13:29:02 - mmengine - INFO - Epoch(val) [4][120/6282] eta: 0:06:33 time: 0.0639 data_time: 0.0069 memory: 809 2022/08/11 13:29:04 - mmengine - INFO - Epoch(val) [4][140/6282] eta: 0:07:05 time: 0.0693 data_time: 0.0069 memory: 809 2022/08/11 13:29:05 - mmengine - INFO - Epoch(val) [4][160/6282] eta: 0:06:41 time: 0.0657 data_time: 0.0047 memory: 809 2022/08/11 13:29:07 - mmengine - INFO - Epoch(val) [4][180/6282] eta: 0:09:15 time: 0.0910 data_time: 0.0055 memory: 809 2022/08/11 13:29:08 - mmengine - INFO - Epoch(val) [4][200/6282] eta: 0:07:45 time: 0.0765 data_time: 0.0203 memory: 809 2022/08/11 13:29:09 - mmengine - INFO - Epoch(val) [4][220/6282] eta: 0:04:56 time: 0.0489 data_time: 0.0030 memory: 738 2022/08/11 13:29:10 - mmengine - INFO - Epoch(val) [4][240/6282] eta: 0:05:00 time: 0.0497 data_time: 0.0039 memory: 738 2022/08/11 13:29:11 - mmengine - INFO - Epoch(val) [4][260/6282] eta: 0:05:04 time: 0.0505 data_time: 0.0043 memory: 738 2022/08/11 13:29:12 - mmengine - INFO - Epoch(val) [4][280/6282] eta: 0:05:44 time: 0.0575 data_time: 0.0051 memory: 738 2022/08/11 13:29:14 - mmengine - INFO - Epoch(val) [4][300/6282] eta: 0:06:01 time: 0.0605 data_time: 0.0048 memory: 809 2022/08/11 13:29:15 - mmengine - INFO - Epoch(val) [4][320/6282] eta: 0:09:25 time: 0.0948 data_time: 0.0338 memory: 809 2022/08/11 13:29:18 - mmengine - INFO - Epoch(val) [4][340/6282] eta: 0:10:10 time: 0.1028 data_time: 0.0171 memory: 809 2022/08/11 13:29:19 - mmengine - INFO - Epoch(val) [4][360/6282] eta: 0:06:48 time: 0.0690 data_time: 0.0056 memory: 809 2022/08/11 13:29:21 - mmengine - INFO - Epoch(val) [4][380/6282] eta: 0:08:51 time: 0.0901 data_time: 0.0256 memory: 809 2022/08/11 13:29:22 - mmengine - INFO - Epoch(val) [4][400/6282] eta: 0:06:35 time: 0.0673 data_time: 0.0089 memory: 809 2022/08/11 13:29:23 - mmengine - INFO - Epoch(val) [4][420/6282] eta: 0:05:24 time: 0.0554 data_time: 0.0044 memory: 743 2022/08/11 13:29:24 - mmengine - INFO - Epoch(val) [4][440/6282] eta: 0:05:23 time: 0.0554 data_time: 0.0067 memory: 743 2022/08/11 13:29:26 - mmengine - INFO - Epoch(val) [4][460/6282] eta: 0:06:22 time: 0.0657 data_time: 0.0058 memory: 743 2022/08/11 13:29:27 - mmengine - INFO - Epoch(val) [4][480/6282] eta: 0:05:21 time: 0.0554 data_time: 0.0057 memory: 743 2022/08/11 13:29:28 - mmengine - INFO - Epoch(val) [4][500/6282] eta: 0:05:10 time: 0.0537 data_time: 0.0047 memory: 743 2022/08/11 13:29:29 - mmengine - INFO - Epoch(val) [4][520/6282] eta: 0:04:59 time: 0.0520 data_time: 0.0041 memory: 738 2022/08/11 13:29:30 - mmengine - INFO - Epoch(val) [4][540/6282] eta: 0:05:09 time: 0.0539 data_time: 0.0048 memory: 738 2022/08/11 13:29:31 - mmengine - INFO - Epoch(val) [4][560/6282] eta: 0:07:23 time: 0.0776 data_time: 0.0043 memory: 738 2022/08/11 13:29:32 - mmengine - INFO - Epoch(val) [4][580/6282] eta: 0:04:47 time: 0.0505 data_time: 0.0044 memory: 738 2022/08/11 13:29:34 - mmengine - INFO - Epoch(val) [4][600/6282] eta: 0:05:07 time: 0.0542 data_time: 0.0055 memory: 738 2022/08/11 13:29:35 - mmengine - INFO - Epoch(val) [4][620/6282] eta: 0:04:36 time: 0.0489 data_time: 0.0045 memory: 738 2022/08/11 13:29:36 - mmengine - INFO - Epoch(val) [4][640/6282] eta: 0:04:41 time: 0.0499 data_time: 0.0037 memory: 733 2022/08/11 13:29:36 - mmengine - INFO - Epoch(val) [4][660/6282] eta: 0:04:17 time: 0.0458 data_time: 0.0034 memory: 733 2022/08/11 13:29:37 - mmengine - INFO - Epoch(val) [4][680/6282] eta: 0:04:22 time: 0.0468 data_time: 0.0040 memory: 733 2022/08/11 13:29:38 - mmengine - INFO - Epoch(val) [4][700/6282] eta: 0:04:23 time: 0.0472 data_time: 0.0032 memory: 733 2022/08/11 13:29:41 - mmengine - INFO - Epoch(val) [4][720/6282] eta: 0:13:08 time: 0.1417 data_time: 0.0876 memory: 809 2022/08/11 13:29:45 - mmengine - INFO - Epoch(val) [4][740/6282] eta: 0:19:17 time: 0.2088 data_time: 0.1405 memory: 809 2022/08/11 13:29:48 - mmengine - INFO - Epoch(val) [4][760/6282] eta: 0:11:36 time: 0.1261 data_time: 0.0647 memory: 809 2022/08/11 13:29:52 - mmengine - INFO - Epoch(val) [4][780/6282] eta: 0:16:36 time: 0.1811 data_time: 0.1241 memory: 809 2022/08/11 13:29:54 - mmengine - INFO - Epoch(val) [4][800/6282] eta: 0:13:10 time: 0.1443 data_time: 0.0807 memory: 809 2022/08/11 13:29:56 - mmengine - INFO - Epoch(val) [4][820/6282] eta: 0:09:19 time: 0.1024 data_time: 0.0455 memory: 809 2022/08/11 13:29:58 - mmengine - INFO - Epoch(val) [4][840/6282] eta: 0:04:53 time: 0.0539 data_time: 0.0047 memory: 738 2022/08/11 13:29:59 - mmengine - INFO - Epoch(val) [4][860/6282] eta: 0:05:06 time: 0.0565 data_time: 0.0054 memory: 738 2022/08/11 13:30:00 - mmengine - INFO - Epoch(val) [4][880/6282] eta: 0:04:58 time: 0.0553 data_time: 0.0037 memory: 738 2022/08/11 13:30:01 - mmengine - INFO - Epoch(val) [4][900/6282] eta: 0:04:49 time: 0.0538 data_time: 0.0040 memory: 738 2022/08/11 13:30:02 - mmengine - INFO - Epoch(val) [4][920/6282] eta: 0:04:57 time: 0.0555 data_time: 0.0051 memory: 738 2022/08/11 13:30:03 - mmengine - INFO - Epoch(val) [4][940/6282] eta: 0:05:11 time: 0.0584 data_time: 0.0055 memory: 703 2022/08/11 13:30:04 - mmengine - INFO - Epoch(val) [4][960/6282] eta: 0:04:27 time: 0.0503 data_time: 0.0049 memory: 703 2022/08/11 13:30:05 - mmengine - INFO - Epoch(val) [4][980/6282] eta: 0:04:26 time: 0.0503 data_time: 0.0040 memory: 703 2022/08/11 13:30:06 - mmengine - INFO - Epoch(val) [4][1000/6282] eta: 0:04:15 time: 0.0484 data_time: 0.0040 memory: 703 2022/08/11 13:30:07 - mmengine - INFO - Epoch(val) [4][1020/6282] eta: 0:04:19 time: 0.0493 data_time: 0.0035 memory: 738 2022/08/11 13:30:08 - mmengine - INFO - Epoch(val) [4][1040/6282] eta: 0:04:18 time: 0.0493 data_time: 0.0040 memory: 738 2022/08/11 13:30:09 - mmengine - INFO - Epoch(val) [4][1060/6282] eta: 0:04:36 time: 0.0530 data_time: 0.0049 memory: 738 2022/08/11 13:30:10 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:04:05 time: 0.0472 data_time: 0.0033 memory: 738 2022/08/11 13:30:11 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:04:01 time: 0.0466 data_time: 0.0037 memory: 738 2022/08/11 13:30:12 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:04:03 time: 0.0472 data_time: 0.0034 memory: 738 2022/08/11 13:30:13 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:03:56 time: 0.0460 data_time: 0.0033 memory: 738 2022/08/11 13:30:14 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:04:05 time: 0.0479 data_time: 0.0037 memory: 738 2022/08/11 13:30:15 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:04:13 time: 0.0498 data_time: 0.0037 memory: 738 2022/08/11 13:30:16 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:04:21 time: 0.0514 data_time: 0.0039 memory: 738 2022/08/11 13:30:17 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:04:13 time: 0.0500 data_time: 0.0040 memory: 738 2022/08/11 13:30:20 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:14:59 time: 0.1784 data_time: 0.1192 memory: 809 2022/08/11 13:30:23 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:12:34 time: 0.1502 data_time: 0.0918 memory: 809 2022/08/11 13:30:27 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:15:01 time: 0.1802 data_time: 0.1216 memory: 809 2022/08/11 13:30:30 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:11:34 time: 0.1394 data_time: 0.0801 memory: 809 2022/08/11 13:30:34 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:15:00 time: 0.1815 data_time: 0.1231 memory: 809 2022/08/11 13:30:37 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:15:58 time: 0.1940 data_time: 0.1382 memory: 809 2022/08/11 13:30:41 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:12:54 time: 0.1574 data_time: 0.0994 memory: 809 2022/08/11 13:30:44 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:12:06 time: 0.1483 data_time: 0.0896 memory: 809 2022/08/11 13:30:47 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:14:28 time: 0.1780 data_time: 0.1185 memory: 809 2022/08/11 13:30:50 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:12:14 time: 0.1510 data_time: 0.0917 memory: 809 2022/08/11 13:30:52 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:07:54 time: 0.0981 data_time: 0.0376 memory: 809 2022/08/11 13:30:53 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:05:12 time: 0.0648 data_time: 0.0048 memory: 809 2022/08/11 13:30:55 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:05:04 time: 0.0634 data_time: 0.0055 memory: 809 2022/08/11 13:30:56 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:06:34 time: 0.0825 data_time: 0.0066 memory: 809 2022/08/11 13:30:58 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:07:07 time: 0.0897 data_time: 0.0055 memory: 911 2022/08/11 13:31:00 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:06:16 time: 0.0794 data_time: 0.0062 memory: 911 2022/08/11 13:31:01 - mmengine - INFO - Epoch(val) [4][1560/6282] eta: 0:06:18 time: 0.0801 data_time: 0.0064 memory: 911 2022/08/11 13:31:03 - mmengine - INFO - Epoch(val) [4][1580/6282] eta: 0:06:10 time: 0.0789 data_time: 0.0066 memory: 911 2022/08/11 13:31:05 - mmengine - INFO - Epoch(val) [4][1600/6282] eta: 0:06:17 time: 0.0806 data_time: 0.0066 memory: 911 2022/08/11 13:31:06 - mmengine - INFO - Epoch(val) [4][1620/6282] eta: 0:06:08 time: 0.0791 data_time: 0.0065 memory: 911 2022/08/11 13:31:07 - mmengine - INFO - Epoch(val) [4][1640/6282] eta: 0:04:55 time: 0.0637 data_time: 0.0046 memory: 809 2022/08/11 13:31:09 - mmengine - INFO - Epoch(val) [4][1660/6282] eta: 0:06:55 time: 0.0899 data_time: 0.0054 memory: 809 2022/08/11 13:31:10 - mmengine - INFO - Epoch(val) [4][1680/6282] eta: 0:04:46 time: 0.0623 data_time: 0.0051 memory: 809 2022/08/11 13:31:12 - mmengine - INFO - Epoch(val) [4][1700/6282] eta: 0:04:52 time: 0.0639 data_time: 0.0057 memory: 809 2022/08/11 13:31:13 - mmengine - INFO - Epoch(val) [4][1720/6282] eta: 0:04:45 time: 0.0625 data_time: 0.0046 memory: 809 2022/08/11 13:31:14 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:04:40 time: 0.0619 data_time: 0.0046 memory: 809 2022/08/11 13:31:15 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:04:52 time: 0.0648 data_time: 0.0050 memory: 809 2022/08/11 13:31:17 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:04:52 time: 0.0650 data_time: 0.0053 memory: 809 2022/08/11 13:31:18 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:04:39 time: 0.0624 data_time: 0.0040 memory: 809 2022/08/11 13:31:19 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:04:50 time: 0.0651 data_time: 0.0047 memory: 809 2022/08/11 13:31:21 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:05:55 time: 0.0800 data_time: 0.0193 memory: 809 2022/08/11 13:31:24 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:12:26 time: 0.1687 data_time: 0.1085 memory: 809 2022/08/11 13:31:27 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:11:13 time: 0.1530 data_time: 0.0917 memory: 809 2022/08/11 13:31:31 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:12:33 time: 0.1720 data_time: 0.1148 memory: 809 2022/08/11 13:31:40 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:34:29 time: 0.4744 data_time: 0.4160 memory: 809 2022/08/11 13:31:43 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:08:17 time: 0.1146 data_time: 0.0561 memory: 809 2022/08/11 13:31:44 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:04:06 time: 0.0571 data_time: 0.0040 memory: 743 2022/08/11 13:31:45 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:04:02 time: 0.0564 data_time: 0.0056 memory: 743 2022/08/11 13:31:46 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:03:56 time: 0.0553 data_time: 0.0043 memory: 743 2022/08/11 13:31:47 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:04:03 time: 0.0571 data_time: 0.0048 memory: 743 2022/08/11 13:31:48 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:04:03 time: 0.0574 data_time: 0.0054 memory: 743 2022/08/11 13:31:49 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:03:47 time: 0.0540 data_time: 0.0046 memory: 743 2022/08/11 13:31:51 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:03:53 time: 0.0555 data_time: 0.0051 memory: 743 2022/08/11 13:31:52 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:04:01 time: 0.0577 data_time: 0.0065 memory: 743 2022/08/11 13:31:53 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:03:49 time: 0.0550 data_time: 0.0047 memory: 743 2022/08/11 13:31:54 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:03:39 time: 0.0529 data_time: 0.0051 memory: 743 2022/08/11 13:31:55 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:05:16 time: 0.0767 data_time: 0.0062 memory: 738 2022/08/11 13:31:56 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:03:46 time: 0.0551 data_time: 0.0045 memory: 738 2022/08/11 13:31:58 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:03:50 time: 0.0565 data_time: 0.0042 memory: 738 2022/08/11 13:31:59 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:03:56 time: 0.0583 data_time: 0.0049 memory: 738 2022/08/11 13:32:00 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:03:47 time: 0.0562 data_time: 0.0057 memory: 738 2022/08/11 13:32:01 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:03:53 time: 0.0580 data_time: 0.0050 memory: 743 2022/08/11 13:32:02 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:03:47 time: 0.0570 data_time: 0.0058 memory: 743 2022/08/11 13:32:03 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:03:43 time: 0.0561 data_time: 0.0054 memory: 743 2022/08/11 13:32:05 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:03:52 time: 0.0587 data_time: 0.0051 memory: 743 2022/08/11 13:32:06 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:05:22 time: 0.0817 data_time: 0.0052 memory: 743 2022/08/11 13:32:07 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:03:47 time: 0.0580 data_time: 0.0070 memory: 738 2022/08/11 13:32:08 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:03:40 time: 0.0566 data_time: 0.0060 memory: 738 2022/08/11 13:32:10 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:03:30 time: 0.0543 data_time: 0.0037 memory: 738 2022/08/11 13:32:11 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:03:37 time: 0.0564 data_time: 0.0046 memory: 738 2022/08/11 13:32:12 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:03:29 time: 0.0545 data_time: 0.0040 memory: 738 2022/08/11 13:32:13 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:04:56 time: 0.0777 data_time: 0.0197 memory: 809 2022/08/11 13:32:15 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:05:32 time: 0.0875 data_time: 0.0261 memory: 809 2022/08/11 13:32:17 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:05:38 time: 0.0896 data_time: 0.0307 memory: 809 2022/08/11 13:32:19 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:05:29 time: 0.0877 data_time: 0.0049 memory: 809 2022/08/11 13:32:21 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:07:51 time: 0.1260 data_time: 0.0680 memory: 809 2022/08/11 13:32:24 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:09:47 time: 0.1580 data_time: 0.0979 memory: 809 2022/08/11 13:32:28 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:10:16 time: 0.1665 data_time: 0.1042 memory: 809 2022/08/11 13:32:31 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:10:36 time: 0.1727 data_time: 0.0887 memory: 809 2022/08/11 13:32:34 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:10:08 time: 0.1661 data_time: 0.1070 memory: 809 2022/08/11 13:32:38 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:09:48 time: 0.1616 data_time: 0.1012 memory: 809 2022/08/11 13:32:39 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:04:51 time: 0.0805 data_time: 0.0062 memory: 902 2022/08/11 13:32:41 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:05:59 time: 0.0997 data_time: 0.0045 memory: 902 2022/08/11 13:32:43 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:04:56 time: 0.0827 data_time: 0.0078 memory: 902 2022/08/11 13:32:45 - mmengine - INFO - Epoch(val) [4][2720/6282] eta: 0:05:09 time: 0.0869 data_time: 0.0075 memory: 902 2022/08/11 13:32:46 - mmengine - INFO - Epoch(val) [4][2740/6282] eta: 0:04:45 time: 0.0806 data_time: 0.0062 memory: 902 2022/08/11 13:32:48 - mmengine - INFO - Epoch(val) [4][2760/6282] eta: 0:03:25 time: 0.0584 data_time: 0.0071 memory: 743 2022/08/11 13:32:49 - mmengine - INFO - Epoch(val) [4][2780/6282] eta: 0:03:23 time: 0.0581 data_time: 0.0060 memory: 743 2022/08/11 13:32:50 - mmengine - INFO - Epoch(val) [4][2800/6282] eta: 0:03:10 time: 0.0548 data_time: 0.0051 memory: 743 2022/08/11 13:32:51 - mmengine - INFO - Epoch(val) [4][2820/6282] eta: 0:03:24 time: 0.0592 data_time: 0.0045 memory: 743 2022/08/11 13:32:52 - mmengine - INFO - Epoch(val) [4][2840/6282] eta: 0:03:16 time: 0.0572 data_time: 0.0060 memory: 743 2022/08/11 13:32:53 - mmengine - INFO - Epoch(val) [4][2860/6282] eta: 0:03:46 time: 0.0661 data_time: 0.0090 memory: 809 2022/08/11 13:32:55 - mmengine - INFO - Epoch(val) [4][2880/6282] eta: 0:04:11 time: 0.0740 data_time: 0.0140 memory: 809 2022/08/11 13:32:57 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:04:27 time: 0.0791 data_time: 0.0169 memory: 809 2022/08/11 13:32:58 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:03:09 time: 0.0562 data_time: 0.0047 memory: 809 2022/08/11 13:32:59 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:03:11 time: 0.0573 data_time: 0.0061 memory: 773 2022/08/11 13:33:00 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:03:08 time: 0.0569 data_time: 0.0042 memory: 773 2022/08/11 13:33:01 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:03:06 time: 0.0565 data_time: 0.0044 memory: 773 2022/08/11 13:33:02 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:03:14 time: 0.0593 data_time: 0.0066 memory: 773 2022/08/11 13:33:04 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:03:29 time: 0.0644 data_time: 0.0050 memory: 809 2022/08/11 13:33:05 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:03:36 time: 0.0668 data_time: 0.0061 memory: 809 2022/08/11 13:33:06 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:03:40 time: 0.0686 data_time: 0.0068 memory: 809 2022/08/11 13:33:08 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:03:42 time: 0.0694 data_time: 0.0056 memory: 809 2022/08/11 13:33:09 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:03:36 time: 0.0681 data_time: 0.0060 memory: 809 2022/08/11 13:33:10 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:02:59 time: 0.0568 data_time: 0.0062 memory: 743 2022/08/11 13:33:11 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:03:00 time: 0.0574 data_time: 0.0044 memory: 743 2022/08/11 13:33:13 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:03:57 time: 0.0759 data_time: 0.0052 memory: 743 2022/08/11 13:33:14 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:03:05 time: 0.0599 data_time: 0.0066 memory: 743 2022/08/11 13:33:15 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:03:34 time: 0.0697 data_time: 0.0073 memory: 809 2022/08/11 13:33:17 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:03:46 time: 0.0738 data_time: 0.0123 memory: 809 2022/08/11 13:33:18 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:03:34 time: 0.0706 data_time: 0.0108 memory: 809 2022/08/11 13:33:20 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:03:39 time: 0.0725 data_time: 0.0100 memory: 809 2022/08/11 13:33:21 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:03:09 time: 0.0631 data_time: 0.0054 memory: 809 2022/08/11 13:33:22 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:03:07 time: 0.0627 data_time: 0.0045 memory: 809 2022/08/11 13:33:24 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:04:24 time: 0.0893 data_time: 0.0049 memory: 809 2022/08/11 13:33:25 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:03:22 time: 0.0688 data_time: 0.0049 memory: 809 2022/08/11 13:33:27 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:03:17 time: 0.0675 data_time: 0.0066 memory: 809 2022/08/11 13:33:28 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:02:55 time: 0.0605 data_time: 0.0047 memory: 809 2022/08/11 13:33:29 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:02:36 time: 0.0542 data_time: 0.0035 memory: 738 2022/08/11 13:33:30 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:02:35 time: 0.0543 data_time: 0.0049 memory: 738 2022/08/11 13:33:31 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:02:35 time: 0.0548 data_time: 0.0058 memory: 738 2022/08/11 13:33:32 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:02:43 time: 0.0578 data_time: 0.0068 memory: 738 2022/08/11 13:33:34 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:02:31 time: 0.0541 data_time: 0.0055 memory: 738 2022/08/11 13:33:35 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:02:31 time: 0.0544 data_time: 0.0047 memory: 738 2022/08/11 13:33:36 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:03:42 time: 0.0805 data_time: 0.0063 memory: 738 2022/08/11 13:33:37 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:02:32 time: 0.0557 data_time: 0.0068 memory: 738 2022/08/11 13:33:39 - mmengine - INFO - Epoch(val) [4][3560/6282] eta: 0:02:30 time: 0.0554 data_time: 0.0044 memory: 738 2022/08/11 13:33:40 - mmengine - INFO - Epoch(val) [4][3580/6282] eta: 0:02:38 time: 0.0588 data_time: 0.0049 memory: 789 2022/08/11 13:33:41 - mmengine - INFO - Epoch(val) [4][3600/6282] eta: 0:02:47 time: 0.0625 data_time: 0.0064 memory: 789 2022/08/11 13:33:42 - mmengine - INFO - Epoch(val) [4][3620/6282] eta: 0:02:42 time: 0.0611 data_time: 0.0061 memory: 789 2022/08/11 13:33:43 - mmengine - INFO - Epoch(val) [4][3640/6282] eta: 0:02:40 time: 0.0608 data_time: 0.0049 memory: 789 2022/08/11 13:33:45 - mmengine - INFO - Epoch(val) [4][3660/6282] eta: 0:02:45 time: 0.0633 data_time: 0.0059 memory: 789 2022/08/11 13:33:46 - mmengine - INFO - Epoch(val) [4][3680/6282] eta: 0:03:54 time: 0.0903 data_time: 0.0074 memory: 809 2022/08/11 13:33:48 - mmengine - INFO - Epoch(val) [4][3700/6282] eta: 0:02:58 time: 0.0691 data_time: 0.0060 memory: 809 2022/08/11 13:33:50 - mmengine - INFO - Epoch(val) [4][3720/6282] eta: 0:03:31 time: 0.0825 data_time: 0.0170 memory: 809 2022/08/11 13:33:51 - mmengine - INFO - Epoch(val) [4][3740/6282] eta: 0:03:54 time: 0.0923 data_time: 0.0312 memory: 809 2022/08/11 13:33:53 - mmengine - INFO - Epoch(val) [4][3760/6282] eta: 0:03:44 time: 0.0891 data_time: 0.0277 memory: 809 2022/08/11 13:33:55 - mmengine - INFO - Epoch(val) [4][3780/6282] eta: 0:03:40 time: 0.0882 data_time: 0.0251 memory: 809 2022/08/11 13:33:57 - mmengine - INFO - Epoch(val) [4][3800/6282] eta: 0:03:45 time: 0.0910 data_time: 0.0281 memory: 809 2022/08/11 13:33:59 - mmengine - INFO - Epoch(val) [4][3820/6282] eta: 0:04:06 time: 0.1003 data_time: 0.0122 memory: 809 2022/08/11 13:34:00 - mmengine - INFO - Epoch(val) [4][3840/6282] eta: 0:02:45 time: 0.0679 data_time: 0.0053 memory: 809 2022/08/11 13:34:02 - mmengine - INFO - Epoch(val) [4][3860/6282] eta: 0:03:24 time: 0.0844 data_time: 0.0218 memory: 809 2022/08/11 13:34:04 - mmengine - INFO - Epoch(val) [4][3880/6282] eta: 0:03:42 time: 0.0927 data_time: 0.0313 memory: 809 2022/08/11 13:34:05 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:03:05 time: 0.0778 data_time: 0.0183 memory: 809 2022/08/11 13:34:07 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:03:31 time: 0.0895 data_time: 0.0281 memory: 809 2022/08/11 13:34:08 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:02:48 time: 0.0719 data_time: 0.0123 memory: 809 2022/08/11 13:34:10 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:03:29 time: 0.0901 data_time: 0.0092 memory: 809 2022/08/11 13:34:11 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:02:16 time: 0.0593 data_time: 0.0039 memory: 809 2022/08/11 13:34:13 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:02:10 time: 0.0573 data_time: 0.0038 memory: 809 2022/08/11 13:34:14 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:02:08 time: 0.0567 data_time: 0.0033 memory: 809 2022/08/11 13:34:15 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:02:18 time: 0.0618 data_time: 0.0040 memory: 902 2022/08/11 13:34:16 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:02:40 time: 0.0723 data_time: 0.0051 memory: 902 2022/08/11 13:34:18 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:02:42 time: 0.0736 data_time: 0.0045 memory: 902 2022/08/11 13:34:20 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:03:34 time: 0.0983 data_time: 0.0052 memory: 902 2022/08/11 13:34:21 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:02:44 time: 0.0761 data_time: 0.0054 memory: 902 2022/08/11 13:34:23 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:02:26 time: 0.0684 data_time: 0.0052 memory: 902 2022/08/11 13:34:24 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:01:56 time: 0.0551 data_time: 0.0048 memory: 738 2022/08/11 13:34:25 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:01:57 time: 0.0557 data_time: 0.0060 memory: 738 2022/08/11 13:34:26 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:01:52 time: 0.0539 data_time: 0.0054 memory: 738 2022/08/11 13:34:27 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:01:50 time: 0.0536 data_time: 0.0046 memory: 738 2022/08/11 13:34:28 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:01:50 time: 0.0541 data_time: 0.0051 memory: 738 2022/08/11 13:34:29 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:01:52 time: 0.0559 data_time: 0.0058 memory: 736 2022/08/11 13:34:31 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:02:41 time: 0.0807 data_time: 0.0046 memory: 736 2022/08/11 13:34:32 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:01:41 time: 0.0514 data_time: 0.0055 memory: 736 2022/08/11 13:34:33 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:01:39 time: 0.0505 data_time: 0.0049 memory: 736 2022/08/11 13:34:34 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:01:28 time: 0.0454 data_time: 0.0035 memory: 736 2022/08/11 13:34:35 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:01:47 time: 0.0562 data_time: 0.0034 memory: 809 2022/08/11 13:34:36 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:01:58 time: 0.0624 data_time: 0.0047 memory: 809 2022/08/11 13:34:38 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:01:59 time: 0.0637 data_time: 0.0051 memory: 809 2022/08/11 13:34:39 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:01:55 time: 0.0622 data_time: 0.0047 memory: 809 2022/08/11 13:34:40 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:01:59 time: 0.0646 data_time: 0.0043 memory: 816 2022/08/11 13:34:41 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:01:57 time: 0.0646 data_time: 0.0050 memory: 816 2022/08/11 13:34:43 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:02:37 time: 0.0876 data_time: 0.0053 memory: 816 2022/08/11 13:34:45 - mmengine - INFO - Epoch(val) [4][4500/6282] eta: 0:01:57 time: 0.0659 data_time: 0.0050 memory: 816 2022/08/11 13:34:46 - mmengine - INFO - Epoch(val) [4][4520/6282] eta: 0:01:54 time: 0.0650 data_time: 0.0055 memory: 816 2022/08/11 13:34:47 - mmengine - INFO - Epoch(val) [4][4540/6282] eta: 0:01:37 time: 0.0558 data_time: 0.0059 memory: 743 2022/08/11 13:34:48 - mmengine - INFO - Epoch(val) [4][4560/6282] eta: 0:01:37 time: 0.0563 data_time: 0.0060 memory: 743 2022/08/11 13:34:49 - mmengine - INFO - Epoch(val) [4][4580/6282] eta: 0:01:32 time: 0.0542 data_time: 0.0054 memory: 743 2022/08/11 13:34:50 - mmengine - INFO - Epoch(val) [4][4600/6282] eta: 0:01:30 time: 0.0535 data_time: 0.0042 memory: 743 2022/08/11 13:34:51 - mmengine - INFO - Epoch(val) [4][4620/6282] eta: 0:01:31 time: 0.0554 data_time: 0.0052 memory: 743 2022/08/11 13:34:53 - mmengine - INFO - Epoch(val) [4][4640/6282] eta: 0:02:27 time: 0.0901 data_time: 0.0046 memory: 816 2022/08/11 13:34:54 - mmengine - INFO - Epoch(val) [4][4660/6282] eta: 0:01:39 time: 0.0616 data_time: 0.0044 memory: 816 2022/08/11 13:34:56 - mmengine - INFO - Epoch(val) [4][4680/6282] eta: 0:01:44 time: 0.0653 data_time: 0.0049 memory: 816 2022/08/11 13:34:57 - mmengine - INFO - Epoch(val) [4][4700/6282] eta: 0:01:40 time: 0.0638 data_time: 0.0045 memory: 816 2022/08/11 13:34:58 - mmengine - INFO - Epoch(val) [4][4720/6282] eta: 0:01:37 time: 0.0626 data_time: 0.0047 memory: 816 2022/08/11 13:34:59 - mmengine - INFO - Epoch(val) [4][4740/6282] eta: 0:01:22 time: 0.0537 data_time: 0.0037 memory: 768 2022/08/11 13:35:00 - mmengine - INFO - Epoch(val) [4][4760/6282] eta: 0:01:24 time: 0.0552 data_time: 0.0062 memory: 768 2022/08/11 13:35:02 - mmengine - INFO - Epoch(val) [4][4780/6282] eta: 0:01:26 time: 0.0578 data_time: 0.0051 memory: 768 2022/08/11 13:35:03 - mmengine - INFO - Epoch(val) [4][4800/6282] eta: 0:01:22 time: 0.0554 data_time: 0.0051 memory: 768 2022/08/11 13:35:04 - mmengine - INFO - Epoch(val) [4][4820/6282] eta: 0:01:30 time: 0.0622 data_time: 0.0069 memory: 809 2022/08/11 13:35:05 - mmengine - INFO - Epoch(val) [4][4840/6282] eta: 0:01:35 time: 0.0660 data_time: 0.0060 memory: 809 2022/08/11 13:35:07 - mmengine - INFO - Epoch(val) [4][4860/6282] eta: 0:01:36 time: 0.0679 data_time: 0.0074 memory: 809 2022/08/11 13:35:08 - mmengine - INFO - Epoch(val) [4][4880/6282] eta: 0:01:29 time: 0.0638 data_time: 0.0047 memory: 809 2022/08/11 13:35:09 - mmengine - INFO - Epoch(val) [4][4900/6282] eta: 0:01:28 time: 0.0642 data_time: 0.0050 memory: 809 2022/08/11 13:35:11 - mmengine - INFO - Epoch(val) [4][4920/6282] eta: 0:01:28 time: 0.0648 data_time: 0.0054 memory: 811 2022/08/11 13:35:12 - mmengine - INFO - Epoch(val) [4][4940/6282] eta: 0:01:28 time: 0.0658 data_time: 0.0054 memory: 811 2022/08/11 13:35:14 - mmengine - INFO - Epoch(val) [4][4960/6282] eta: 0:01:58 time: 0.0899 data_time: 0.0047 memory: 811 2022/08/11 13:35:15 - mmengine - INFO - Epoch(val) [4][4980/6282] eta: 0:01:21 time: 0.0629 data_time: 0.0047 memory: 811 2022/08/11 13:35:16 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:01:25 time: 0.0670 data_time: 0.0053 memory: 811 2022/08/11 13:35:17 - mmengine - INFO - Epoch(val) [4][5020/6282] eta: 0:01:16 time: 0.0607 data_time: 0.0056 memory: 811 2022/08/11 13:35:19 - mmengine - INFO - Epoch(val) [4][5040/6282] eta: 0:01:10 time: 0.0565 data_time: 0.0051 memory: 743 2022/08/11 13:35:20 - mmengine - INFO - Epoch(val) [4][5060/6282] eta: 0:01:07 time: 0.0548 data_time: 0.0053 memory: 743 2022/08/11 13:35:21 - mmengine - INFO - Epoch(val) [4][5080/6282] eta: 0:01:06 time: 0.0553 data_time: 0.0038 memory: 743 2022/08/11 13:35:22 - mmengine - INFO - Epoch(val) [4][5100/6282] eta: 0:01:06 time: 0.0560 data_time: 0.0058 memory: 743 2022/08/11 13:35:23 - mmengine - INFO - Epoch(val) [4][5120/6282] eta: 0:01:06 time: 0.0569 data_time: 0.0052 memory: 743 2022/08/11 13:35:25 - mmengine - INFO - Epoch(val) [4][5140/6282] eta: 0:01:32 time: 0.0806 data_time: 0.0051 memory: 738 2022/08/11 13:35:26 - mmengine - INFO - Epoch(val) [4][5160/6282] eta: 0:01:09 time: 0.0618 data_time: 0.0108 memory: 738 2022/08/11 13:35:27 - mmengine - INFO - Epoch(val) [4][5180/6282] eta: 0:01:03 time: 0.0572 data_time: 0.0057 memory: 738 2022/08/11 13:35:28 - mmengine - INFO - Epoch(val) [4][5200/6282] eta: 0:01:01 time: 0.0569 data_time: 0.0061 memory: 738 2022/08/11 13:35:29 - mmengine - INFO - Epoch(val) [4][5220/6282] eta: 0:00:58 time: 0.0547 data_time: 0.0068 memory: 738 2022/08/11 13:35:30 - mmengine - INFO - Epoch(val) [4][5240/6282] eta: 0:00:59 time: 0.0568 data_time: 0.0064 memory: 736 2022/08/11 13:35:32 - mmengine - INFO - Epoch(val) [4][5260/6282] eta: 0:00:57 time: 0.0565 data_time: 0.0061 memory: 736 2022/08/11 13:35:33 - mmengine - INFO - Epoch(val) [4][5280/6282] eta: 0:00:54 time: 0.0545 data_time: 0.0056 memory: 736 2022/08/11 13:35:34 - mmengine - INFO - Epoch(val) [4][5300/6282] eta: 0:00:54 time: 0.0552 data_time: 0.0045 memory: 736 2022/08/11 13:35:35 - mmengine - INFO - Epoch(val) [4][5320/6282] eta: 0:01:16 time: 0.0795 data_time: 0.0049 memory: 738 2022/08/11 13:35:37 - mmengine - INFO - Epoch(val) [4][5340/6282] eta: 0:00:52 time: 0.0556 data_time: 0.0058 memory: 738 2022/08/11 13:35:38 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:00:52 time: 0.0569 data_time: 0.0064 memory: 738 2022/08/11 13:35:39 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:00:48 time: 0.0542 data_time: 0.0046 memory: 738 2022/08/11 13:35:40 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:00:52 time: 0.0590 data_time: 0.0057 memory: 738 2022/08/11 13:35:41 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:47 time: 0.0553 data_time: 0.0044 memory: 738 2022/08/11 13:35:42 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:45 time: 0.0542 data_time: 0.0059 memory: 738 2022/08/11 13:35:43 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:00:47 time: 0.0573 data_time: 0.0058 memory: 738 2022/08/11 13:35:44 - mmengine - INFO - Epoch(val) [4][5480/6282] eta: 0:00:43 time: 0.0538 data_time: 0.0046 memory: 738 2022/08/11 13:35:46 - mmengine - INFO - Epoch(val) [4][5500/6282] eta: 0:01:17 time: 0.0986 data_time: 0.0068 memory: 738 2022/08/11 13:35:47 - mmengine - INFO - Epoch(val) [4][5520/6282] eta: 0:00:42 time: 0.0555 data_time: 0.0043 memory: 763 2022/08/11 13:35:49 - mmengine - INFO - Epoch(val) [4][5540/6282] eta: 0:00:40 time: 0.0547 data_time: 0.0043 memory: 763 2022/08/11 13:35:50 - mmengine - INFO - Epoch(val) [4][5560/6282] eta: 0:00:42 time: 0.0589 data_time: 0.0060 memory: 763 2022/08/11 13:35:51 - mmengine - INFO - Epoch(val) [4][5580/6282] eta: 0:00:41 time: 0.0589 data_time: 0.0044 memory: 763 2022/08/11 13:35:52 - mmengine - INFO - Epoch(val) [4][5600/6282] eta: 0:00:40 time: 0.0591 data_time: 0.0060 memory: 763 2022/08/11 13:35:53 - mmengine - INFO - Epoch(val) [4][5620/6282] eta: 0:00:37 time: 0.0563 data_time: 0.0052 memory: 763 2022/08/11 13:35:54 - mmengine - INFO - Epoch(val) [4][5640/6282] eta: 0:00:35 time: 0.0559 data_time: 0.0062 memory: 738 2022/08/11 13:35:55 - mmengine - INFO - Epoch(val) [4][5660/6282] eta: 0:00:33 time: 0.0542 data_time: 0.0050 memory: 738 2022/08/11 13:35:57 - mmengine - INFO - Epoch(val) [4][5680/6282] eta: 0:00:32 time: 0.0547 data_time: 0.0051 memory: 738 2022/08/11 13:35:58 - mmengine - INFO - Epoch(val) [4][5700/6282] eta: 0:00:30 time: 0.0523 data_time: 0.0042 memory: 738 2022/08/11 13:35:59 - mmengine - INFO - Epoch(val) [4][5720/6282] eta: 0:00:30 time: 0.0551 data_time: 0.0049 memory: 780 2022/08/11 13:36:00 - mmengine - INFO - Epoch(val) [4][5740/6282] eta: 0:00:30 time: 0.0565 data_time: 0.0041 memory: 780 2022/08/11 13:36:01 - mmengine - INFO - Epoch(val) [4][5760/6282] eta: 0:00:29 time: 0.0565 data_time: 0.0043 memory: 780 2022/08/11 13:36:02 - mmengine - INFO - Epoch(val) [4][5780/6282] eta: 0:00:28 time: 0.0575 data_time: 0.0050 memory: 780 2022/08/11 13:36:03 - mmengine - INFO - Epoch(val) [4][5800/6282] eta: 0:00:27 time: 0.0569 data_time: 0.0057 memory: 780 2022/08/11 13:36:04 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:26 time: 0.0565 data_time: 0.0052 memory: 780 2022/08/11 13:36:06 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:26 time: 0.0591 data_time: 0.0062 memory: 763 2022/08/11 13:36:07 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:36 time: 0.0869 data_time: 0.0042 memory: 763 2022/08/11 13:36:09 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:24 time: 0.0613 data_time: 0.0059 memory: 763 2022/08/11 13:36:10 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:23 time: 0.0605 data_time: 0.0065 memory: 763 2022/08/11 13:36:11 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:20 time: 0.0570 data_time: 0.0059 memory: 763 2022/08/11 13:36:12 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:19 time: 0.0581 data_time: 0.0052 memory: 738 2022/08/11 13:36:13 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:17 time: 0.0558 data_time: 0.0047 memory: 738 2022/08/11 13:36:14 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:16 time: 0.0546 data_time: 0.0050 memory: 738 2022/08/11 13:36:16 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:17 time: 0.0618 data_time: 0.0058 memory: 809 2022/08/11 13:36:17 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:23 time: 0.0882 data_time: 0.0042 memory: 809 2022/08/11 13:36:19 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:15 time: 0.0656 data_time: 0.0059 memory: 809 2022/08/11 13:36:20 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:14 time: 0.0666 data_time: 0.0046 memory: 809 2022/08/11 13:36:21 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:13 time: 0.0666 data_time: 0.0060 memory: 809 2022/08/11 13:36:23 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:12 time: 0.0678 data_time: 0.0091 memory: 809 2022/08/11 13:36:24 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:12 time: 0.0782 data_time: 0.0188 memory: 809 2022/08/11 13:36:26 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:11 time: 0.0780 data_time: 0.0195 memory: 809 2022/08/11 13:36:27 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:07 time: 0.0632 data_time: 0.0057 memory: 809 2022/08/11 13:36:28 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:06 time: 0.0611 data_time: 0.0060 memory: 809 2022/08/11 13:36:29 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:04 time: 0.0558 data_time: 0.0034 memory: 809 2022/08/11 13:36:31 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:03 time: 0.0542 data_time: 0.0031 memory: 809 2022/08/11 13:36:32 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:02 time: 0.0548 data_time: 0.0035 memory: 809 2022/08/11 13:36:33 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:01 time: 0.0531 data_time: 0.0026 memory: 809 2022/08/11 13:36:34 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0527 data_time: 0.0029 memory: 809 2022/08/11 13:41:45 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.2598 2022/08/11 13:41:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2022/08/11 13:41:49 - mmengine - INFO - The best checkpoint with 0.2598 mAP/mAP@0.5IOU at 5 epoch is saved to best_mAP/mAP@0.5IOU_epoch_5.pth. 2022/08/11 13:42:04 - mmengine - INFO - Epoch(train) [5][20/3842] lr: 6.3965e-02 eta: 3:24:30 time: 0.7150 data_time: 0.2355 memory: 10484 grad_norm: 0.2072 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5046 recall@top3: 0.6019 prec@top3: 0.4444 recall@top5: 0.7870 prec@top5: 0.3667 loss_action_cls: 0.0625 loss: 0.0625 2022/08/11 13:42:14 - mmengine - INFO - Epoch(train) [5][40/3842] lr: 6.3911e-02 eta: 3:24:19 time: 0.5238 data_time: 0.0198 memory: 10484 grad_norm: 0.2341 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7778 recall@top3: 0.7778 prec@top3: 0.4722 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0575 loss: 0.0575 2022/08/11 13:42:25 - mmengine - INFO - Epoch(train) [5][60/3842] lr: 6.3856e-02 eta: 3:24:07 time: 0.5141 data_time: 0.0188 memory: 10484 grad_norm: 0.2372 recall@thr=0.5: 0.6891 prec@thr=0.5: 0.7147 recall@top3: 0.6891 prec@top3: 0.6026 recall@top5: 0.9263 prec@top5: 0.4923 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 13:42:35 - mmengine - INFO - Epoch(train) [5][80/3842] lr: 6.3802e-02 eta: 3:23:56 time: 0.5192 data_time: 0.0183 memory: 10484 grad_norm: 0.2188 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6212 recall@top3: 0.9091 prec@top3: 0.4848 recall@top5: 0.9697 prec@top5: 0.3273 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 13:42:45 - mmengine - INFO - Epoch(train) [5][100/3842] lr: 6.3747e-02 eta: 3:23:45 time: 0.5106 data_time: 0.0179 memory: 10484 grad_norm: 0.2304 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5104 recall@top3: 0.6042 prec@top3: 0.5208 recall@top5: 0.7812 prec@top5: 0.4000 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 13:42:55 - mmengine - INFO - Epoch(train) [5][120/3842] lr: 6.3692e-02 eta: 3:23:33 time: 0.4959 data_time: 0.0181 memory: 10484 grad_norm: 0.2237 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7847 recall@top3: 0.7361 prec@top3: 0.7500 recall@top5: 0.9583 prec@top5: 0.5667 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 13:43:05 - mmengine - INFO - Epoch(train) [5][140/3842] lr: 6.3637e-02 eta: 3:23:22 time: 0.5132 data_time: 0.0160 memory: 10484 grad_norm: 0.2409 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.9469 recall@top3: 0.8750 prec@top3: 0.8125 recall@top5: 0.9688 prec@top5: 0.5625 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 13:43:16 - mmengine - INFO - Epoch(train) [5][160/3842] lr: 6.3582e-02 eta: 3:23:12 time: 0.5401 data_time: 0.0385 memory: 10484 grad_norm: 0.2210 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9111 recall@top3: 0.7889 prec@top3: 0.6667 recall@top5: 0.9778 prec@top5: 0.5200 loss_action_cls: 0.0564 loss: 0.0564 2022/08/11 13:43:26 - mmengine - INFO - Epoch(train) [5][180/3842] lr: 6.3527e-02 eta: 3:23:01 time: 0.5140 data_time: 0.0157 memory: 10484 grad_norm: 0.2261 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.9469 recall@top3: 0.8625 prec@top3: 0.8542 recall@top5: 0.9750 prec@top5: 0.6000 loss_action_cls: 0.0581 loss: 0.0581 2022/08/11 13:43:37 - mmengine - INFO - Epoch(train) [5][200/3842] lr: 6.3472e-02 eta: 3:22:49 time: 0.5187 data_time: 0.0184 memory: 10484 grad_norm: 0.2142 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7800 recall@top3: 0.7042 prec@top3: 0.6667 recall@top5: 0.8833 prec@top5: 0.5100 loss_action_cls: 0.0661 loss: 0.0661 2022/08/11 13:43:47 - mmengine - INFO - Epoch(train) [5][220/3842] lr: 6.3416e-02 eta: 3:22:38 time: 0.4885 data_time: 0.0163 memory: 10484 grad_norm: 0.2184 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6961 recall@top3: 0.7941 prec@top3: 0.6667 recall@top5: 0.9804 prec@top5: 0.4824 loss_action_cls: 0.0599 loss: 0.0599 2022/08/11 13:43:57 - mmengine - INFO - Epoch(train) [5][240/3842] lr: 6.3361e-02 eta: 3:22:26 time: 0.5125 data_time: 0.0144 memory: 10484 grad_norm: 0.2173 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9167 recall@top3: 0.8981 prec@top3: 0.7901 recall@top5: 0.9506 prec@top5: 0.5111 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 13:44:07 - mmengine - INFO - Epoch(train) [5][260/3842] lr: 6.3305e-02 eta: 3:22:15 time: 0.5158 data_time: 0.0162 memory: 10484 grad_norm: 0.2304 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.8509 recall@top3: 0.8684 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0536 loss: 0.0536 2022/08/11 13:44:17 - mmengine - INFO - Epoch(train) [5][280/3842] lr: 6.3250e-02 eta: 3:22:04 time: 0.5045 data_time: 0.0169 memory: 10484 grad_norm: 0.2320 recall@thr=0.5: 0.3646 prec@thr=0.5: 0.6875 recall@top3: 0.7188 prec@top3: 0.5833 recall@top5: 0.7812 prec@top5: 0.3625 loss_action_cls: 0.0590 loss: 0.0590 2022/08/11 13:44:28 - mmengine - INFO - Epoch(train) [5][300/3842] lr: 6.3194e-02 eta: 3:21:53 time: 0.5186 data_time: 0.0190 memory: 10484 grad_norm: 0.2316 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.9103 recall@top3: 0.8538 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.5538 loss_action_cls: 0.0581 loss: 0.0581 2022/08/11 13:44:38 - mmengine - INFO - Epoch(train) [5][320/3842] lr: 6.3138e-02 eta: 3:21:42 time: 0.5190 data_time: 0.0173 memory: 10484 grad_norm: 0.2190 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.7304 recall@top3: 0.7101 prec@top3: 0.6667 recall@top5: 0.8768 prec@top5: 0.5043 loss_action_cls: 0.0653 loss: 0.0653 2022/08/11 13:44:48 - mmengine - INFO - Epoch(train) [5][340/3842] lr: 6.3082e-02 eta: 3:21:31 time: 0.5264 data_time: 0.0202 memory: 10484 grad_norm: 0.2174 recall@thr=0.5: 0.5619 prec@thr=0.5: 0.7619 recall@top3: 0.7286 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0665 loss: 0.0665 2022/08/11 13:44:59 - mmengine - INFO - Epoch(train) [5][360/3842] lr: 6.3026e-02 eta: 3:21:20 time: 0.5231 data_time: 0.0213 memory: 10484 grad_norm: 0.2260 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.6333 recall@top3: 0.6667 prec@top3: 0.5333 recall@top5: 0.8000 prec@top5: 0.3733 loss_action_cls: 0.0593 loss: 0.0593 2022/08/11 13:45:09 - mmengine - INFO - Epoch(train) [5][380/3842] lr: 6.2970e-02 eta: 3:21:08 time: 0.4892 data_time: 0.0186 memory: 10484 grad_norm: 0.2205 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.8241 recall@top3: 0.8241 prec@top3: 0.6852 recall@top5: 0.9630 prec@top5: 0.4889 loss_action_cls: 0.0589 loss: 0.0589 2022/08/11 13:45:19 - mmengine - INFO - Epoch(train) [5][400/3842] lr: 6.2913e-02 eta: 3:20:57 time: 0.5163 data_time: 0.0142 memory: 10484 grad_norm: 0.2236 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.7130 recall@top3: 0.6296 prec@top3: 0.5185 recall@top5: 0.8148 prec@top5: 0.4111 loss_action_cls: 0.0616 loss: 0.0616 2022/08/11 13:45:29 - mmengine - INFO - Epoch(train) [5][420/3842] lr: 6.2857e-02 eta: 3:20:46 time: 0.5181 data_time: 0.0197 memory: 10484 grad_norm: 0.2186 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6354 recall@top3: 0.6667 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.0650 loss: 0.0650 2022/08/11 13:45:40 - mmengine - INFO - Epoch(train) [5][440/3842] lr: 6.2800e-02 eta: 3:20:35 time: 0.5128 data_time: 0.0170 memory: 10484 grad_norm: 0.2293 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7778 recall@top3: 0.7556 prec@top3: 0.4889 recall@top5: 0.9333 prec@top5: 0.3733 loss_action_cls: 0.0599 loss: 0.0599 2022/08/11 13:45:50 - mmengine - INFO - Epoch(train) [5][460/3842] lr: 6.2744e-02 eta: 3:20:23 time: 0.4960 data_time: 0.0180 memory: 10484 grad_norm: 0.2213 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7549 recall@top3: 0.9118 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0559 loss: 0.0559 2022/08/11 13:45:59 - mmengine - INFO - Epoch(train) [5][480/3842] lr: 6.2687e-02 eta: 3:20:11 time: 0.4922 data_time: 0.0142 memory: 10484 grad_norm: 0.2228 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7292 recall@top3: 0.7986 prec@top3: 0.7778 recall@top5: 0.9167 prec@top5: 0.5500 loss_action_cls: 0.0626 loss: 0.0626 2022/08/11 13:46:10 - mmengine - INFO - Epoch(train) [5][500/3842] lr: 6.2630e-02 eta: 3:20:00 time: 0.5145 data_time: 0.0167 memory: 10484 grad_norm: 0.2306 recall@thr=0.5: 0.6343 prec@thr=0.5: 0.7315 recall@top3: 0.7407 prec@top3: 0.5741 recall@top5: 0.8565 prec@top5: 0.4000 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 13:46:20 - mmengine - INFO - Epoch(train) [5][520/3842] lr: 6.2573e-02 eta: 3:19:49 time: 0.5196 data_time: 0.0170 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9398 recall@top3: 0.8889 prec@top3: 0.7778 recall@top5: 0.9630 prec@top5: 0.5111 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 13:46:31 - mmengine - INFO - Epoch(train) [5][540/3842] lr: 6.2516e-02 eta: 3:19:38 time: 0.5275 data_time: 0.0181 memory: 10484 grad_norm: 0.2258 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6284 recall@top3: 0.6961 prec@top3: 0.5882 recall@top5: 0.8627 prec@top5: 0.4588 loss_action_cls: 0.0686 loss: 0.0686 2022/08/11 13:46:41 - mmengine - INFO - Epoch(train) [5][560/3842] lr: 6.2459e-02 eta: 3:19:27 time: 0.4959 data_time: 0.0168 memory: 10484 grad_norm: 0.2321 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.7083 recall@top3: 0.8646 prec@top3: 0.7083 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 13:46:51 - mmengine - INFO - Epoch(train) [5][580/3842] lr: 6.2402e-02 eta: 3:19:16 time: 0.5283 data_time: 0.0142 memory: 10484 grad_norm: 0.2269 recall@thr=0.5: 0.7326 prec@thr=0.5: 0.8913 recall@top3: 0.7406 prec@top3: 0.7971 recall@top5: 0.9565 prec@top5: 0.6261 loss_action_cls: 0.0554 loss: 0.0554 2022/08/11 13:47:01 - mmengine - INFO - Epoch(train) [5][600/3842] lr: 6.2344e-02 eta: 3:19:05 time: 0.5159 data_time: 0.0179 memory: 10484 grad_norm: 0.2364 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.8148 recall@top3: 0.8056 prec@top3: 0.7407 recall@top5: 0.9444 prec@top5: 0.5333 loss_action_cls: 0.0641 loss: 0.0641 2022/08/11 13:47:12 - mmengine - INFO - Epoch(train) [5][620/3842] lr: 6.2287e-02 eta: 3:18:54 time: 0.5330 data_time: 0.0166 memory: 10484 grad_norm: 0.2275 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6471 recall@top3: 0.7941 prec@top3: 0.7059 recall@top5: 0.9216 prec@top5: 0.4941 loss_action_cls: 0.0568 loss: 0.0568 2022/08/11 13:47:19 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 13:47:22 - mmengine - INFO - Epoch(train) [5][640/3842] lr: 6.2229e-02 eta: 3:18:43 time: 0.5152 data_time: 0.0176 memory: 10484 grad_norm: 0.2186 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6750 recall@top3: 0.7500 prec@top3: 0.5500 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0627 loss: 0.0627 2022/08/11 13:47:33 - mmengine - INFO - Epoch(train) [5][660/3842] lr: 6.2172e-02 eta: 3:18:32 time: 0.5175 data_time: 0.0181 memory: 10484 grad_norm: 0.2253 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8135 recall@top3: 0.8151 prec@top3: 0.7778 recall@top5: 0.9881 prec@top5: 0.5905 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 13:47:43 - mmengine - INFO - Epoch(train) [5][680/3842] lr: 6.2114e-02 eta: 3:18:21 time: 0.5130 data_time: 0.0170 memory: 10484 grad_norm: 0.2288 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.6213 recall@top3: 0.7361 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4556 loss_action_cls: 0.0546 loss: 0.0546 2022/08/11 13:47:53 - mmengine - INFO - Epoch(train) [5][700/3842] lr: 6.2056e-02 eta: 3:18:10 time: 0.5169 data_time: 0.0173 memory: 10484 grad_norm: 0.2179 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8860 recall@top3: 0.9386 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 13:48:04 - mmengine - INFO - Epoch(train) [5][720/3842] lr: 6.1998e-02 eta: 3:17:59 time: 0.5243 data_time: 0.0171 memory: 10484 grad_norm: 0.2264 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7696 recall@top3: 0.7647 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 13:48:14 - mmengine - INFO - Epoch(train) [5][740/3842] lr: 6.1940e-02 eta: 3:17:48 time: 0.5258 data_time: 0.0185 memory: 10484 grad_norm: 0.2304 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7727 recall@top3: 0.8030 prec@top3: 0.6364 recall@top5: 0.9545 prec@top5: 0.4545 loss_action_cls: 0.0658 loss: 0.0658 2022/08/11 13:48:25 - mmengine - INFO - Epoch(train) [5][760/3842] lr: 6.1882e-02 eta: 3:17:37 time: 0.5287 data_time: 0.0178 memory: 10484 grad_norm: 0.2246 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8700 recall@top3: 0.8750 prec@top3: 0.8000 recall@top5: 0.9417 prec@top5: 0.5300 loss_action_cls: 0.0555 loss: 0.0555 2022/08/11 13:48:35 - mmengine - INFO - Epoch(train) [5][780/3842] lr: 6.1823e-02 eta: 3:17:26 time: 0.5172 data_time: 0.0191 memory: 10484 grad_norm: 0.2235 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.8250 recall@top3: 0.7458 prec@top3: 0.6667 recall@top5: 0.9083 prec@top5: 0.4800 loss_action_cls: 0.0635 loss: 0.0635 2022/08/11 13:48:46 - mmengine - INFO - Epoch(train) [5][800/3842] lr: 6.1765e-02 eta: 3:17:15 time: 0.5236 data_time: 0.0188 memory: 10484 grad_norm: 0.2203 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.6333 recall@top3: 0.7750 prec@top3: 0.7167 recall@top5: 0.8833 prec@top5: 0.5000 loss_action_cls: 0.0557 loss: 0.0557 2022/08/11 13:48:56 - mmengine - INFO - Epoch(train) [5][820/3842] lr: 6.1706e-02 eta: 3:17:04 time: 0.5198 data_time: 0.0181 memory: 10484 grad_norm: 0.2401 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8452 recall@top3: 0.7857 prec@top3: 0.5952 recall@top5: 0.9167 prec@top5: 0.4429 loss_action_cls: 0.0614 loss: 0.0614 2022/08/11 13:49:06 - mmengine - INFO - Epoch(train) [5][840/3842] lr: 6.1648e-02 eta: 3:16:53 time: 0.4974 data_time: 0.0204 memory: 10484 grad_norm: 0.2358 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.9479 recall@top3: 0.8177 prec@top3: 0.8125 recall@top5: 0.9167 prec@top5: 0.5625 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 13:49:16 - mmengine - INFO - Epoch(train) [5][860/3842] lr: 6.1589e-02 eta: 3:16:42 time: 0.5166 data_time: 0.0149 memory: 10484 grad_norm: 0.2263 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.6875 recall@top3: 0.7031 prec@top3: 0.6458 recall@top5: 0.9062 prec@top5: 0.5125 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 13:49:27 - mmengine - INFO - Epoch(train) [5][880/3842] lr: 6.1530e-02 eta: 3:16:31 time: 0.5144 data_time: 0.0219 memory: 10484 grad_norm: 0.2281 recall@thr=0.5: 0.8652 prec@thr=0.5: 0.9022 recall@top3: 0.8630 prec@top3: 0.8551 recall@top5: 0.9826 prec@top5: 0.6000 loss_action_cls: 0.0586 loss: 0.0586 2022/08/11 13:49:37 - mmengine - INFO - Epoch(train) [5][900/3842] lr: 6.1471e-02 eta: 3:16:20 time: 0.5147 data_time: 0.0162 memory: 10484 grad_norm: 0.2352 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6579 recall@top3: 0.6623 prec@top3: 0.6140 recall@top5: 0.8684 prec@top5: 0.4947 loss_action_cls: 0.0705 loss: 0.0705 2022/08/11 13:49:48 - mmengine - INFO - Epoch(train) [5][920/3842] lr: 6.1412e-02 eta: 3:16:09 time: 0.5210 data_time: 0.0177 memory: 10484 grad_norm: 0.2244 recall@thr=0.5: 0.5787 prec@thr=0.5: 0.7741 recall@top3: 0.7870 prec@top3: 0.6852 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 13:49:58 - mmengine - INFO - Epoch(train) [5][940/3842] lr: 6.1353e-02 eta: 3:15:58 time: 0.5114 data_time: 0.0166 memory: 10484 grad_norm: 0.2168 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.6538 recall@top3: 0.9744 prec@top3: 0.6154 recall@top5: 1.0000 prec@top5: 0.3846 loss_action_cls: 0.0580 loss: 0.0580 2022/08/11 13:50:08 - mmengine - INFO - Epoch(train) [5][960/3842] lr: 6.1294e-02 eta: 3:15:46 time: 0.5087 data_time: 0.0168 memory: 10484 grad_norm: 0.2172 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7444 recall@top3: 0.6667 prec@top3: 0.6000 recall@top5: 0.9222 prec@top5: 0.5067 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 13:50:18 - mmengine - INFO - Epoch(train) [5][980/3842] lr: 6.1235e-02 eta: 3:15:35 time: 0.5145 data_time: 0.0182 memory: 10484 grad_norm: 0.2337 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8148 recall@top3: 0.8148 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 13:50:28 - mmengine - INFO - Epoch(train) [5][1000/3842] lr: 6.1175e-02 eta: 3:15:23 time: 0.4922 data_time: 0.0183 memory: 10484 grad_norm: 0.2401 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5417 recall@top3: 0.6667 prec@top3: 0.5000 recall@top5: 0.7778 prec@top5: 0.3500 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 13:50:38 - mmengine - INFO - Epoch(train) [5][1020/3842] lr: 6.1116e-02 eta: 3:15:12 time: 0.4949 data_time: 0.0162 memory: 10484 grad_norm: 0.2288 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8500 recall@top3: 0.7117 prec@top3: 0.7000 recall@top5: 0.8850 prec@top5: 0.5400 loss_action_cls: 0.0696 loss: 0.0696 2022/08/11 13:50:48 - mmengine - INFO - Epoch(train) [5][1040/3842] lr: 6.1056e-02 eta: 3:15:01 time: 0.5156 data_time: 0.0170 memory: 10484 grad_norm: 0.2312 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7222 recall@top3: 0.8000 prec@top3: 0.5778 recall@top5: 0.9222 prec@top5: 0.4133 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 13:50:59 - mmengine - INFO - Epoch(train) [5][1060/3842] lr: 6.0997e-02 eta: 3:14:50 time: 0.5316 data_time: 0.0192 memory: 10484 grad_norm: 0.2323 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7500 recall@top3: 0.8167 prec@top3: 0.6000 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0637 loss: 0.0637 2022/08/11 13:51:09 - mmengine - INFO - Epoch(train) [5][1080/3842] lr: 6.0937e-02 eta: 3:14:39 time: 0.5191 data_time: 0.0170 memory: 10484 grad_norm: 0.2331 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7844 recall@top3: 0.7667 prec@top3: 0.6222 recall@top5: 0.9833 prec@top5: 0.4933 loss_action_cls: 0.0548 loss: 0.0548 2022/08/11 13:51:19 - mmengine - INFO - Epoch(train) [5][1100/3842] lr: 6.0877e-02 eta: 3:14:28 time: 0.4989 data_time: 0.0190 memory: 10484 grad_norm: 0.2230 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7645 recall@top3: 0.8768 prec@top3: 0.7246 recall@top5: 0.9493 prec@top5: 0.4783 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 13:51:30 - mmengine - INFO - Epoch(train) [5][1120/3842] lr: 6.0817e-02 eta: 3:14:17 time: 0.5142 data_time: 0.0152 memory: 10484 grad_norm: 0.2221 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7143 recall@top3: 0.7698 prec@top3: 0.6349 recall@top5: 0.9603 prec@top5: 0.4857 loss_action_cls: 0.0611 loss: 0.0611 2022/08/11 13:51:40 - mmengine - INFO - Epoch(train) [5][1140/3842] lr: 6.0757e-02 eta: 3:14:05 time: 0.5023 data_time: 0.0184 memory: 10484 grad_norm: 0.2216 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7792 recall@top3: 0.7542 prec@top3: 0.7333 recall@top5: 0.9167 prec@top5: 0.5300 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 13:51:50 - mmengine - INFO - Epoch(train) [5][1160/3842] lr: 6.0697e-02 eta: 3:13:54 time: 0.5079 data_time: 0.0175 memory: 10484 grad_norm: 0.2398 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.9216 recall@top3: 0.8382 prec@top3: 0.7647 recall@top5: 0.9020 prec@top5: 0.5059 loss_action_cls: 0.0602 loss: 0.0602 2022/08/11 13:52:00 - mmengine - INFO - Epoch(train) [5][1180/3842] lr: 6.0636e-02 eta: 3:13:42 time: 0.4988 data_time: 0.0184 memory: 10484 grad_norm: 0.2387 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7111 recall@top3: 0.7167 prec@top3: 0.6222 recall@top5: 0.9278 prec@top5: 0.4800 loss_action_cls: 0.0640 loss: 0.0640 2022/08/11 13:52:10 - mmengine - INFO - Epoch(train) [5][1200/3842] lr: 6.0576e-02 eta: 3:13:31 time: 0.5154 data_time: 0.0172 memory: 10484 grad_norm: 0.2268 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.7778 recall@top3: 0.8730 prec@top3: 0.7460 recall@top5: 0.9048 prec@top5: 0.4667 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 13:52:20 - mmengine - INFO - Epoch(train) [5][1220/3842] lr: 6.0516e-02 eta: 3:13:20 time: 0.4978 data_time: 0.0181 memory: 10484 grad_norm: 0.2359 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8611 recall@top3: 0.8241 prec@top3: 0.6111 recall@top5: 0.9537 prec@top5: 0.4444 loss_action_cls: 0.0573 loss: 0.0573 2022/08/11 13:52:30 - mmengine - INFO - Epoch(train) [5][1240/3842] lr: 6.0455e-02 eta: 3:13:08 time: 0.4877 data_time: 0.0166 memory: 10484 grad_norm: 0.2209 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8775 recall@top3: 0.8627 prec@top3: 0.7059 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0572 loss: 0.0572 2022/08/11 13:52:40 - mmengine - INFO - Epoch(train) [5][1260/3842] lr: 6.0394e-02 eta: 3:12:57 time: 0.5091 data_time: 0.0160 memory: 10484 grad_norm: 0.2176 recall@thr=0.5: 0.7892 prec@thr=0.5: 0.8922 recall@top3: 0.8480 prec@top3: 0.7059 recall@top5: 0.9069 prec@top5: 0.4588 loss_action_cls: 0.0549 loss: 0.0549 2022/08/11 13:52:50 - mmengine - INFO - Epoch(train) [5][1280/3842] lr: 6.0334e-02 eta: 3:12:46 time: 0.5171 data_time: 0.0184 memory: 10484 grad_norm: 0.2270 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8333 recall@top3: 0.9412 prec@top3: 0.7843 recall@top5: 0.9853 prec@top5: 0.5059 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 13:53:00 - mmengine - INFO - Epoch(train) [5][1300/3842] lr: 6.0273e-02 eta: 3:12:35 time: 0.5040 data_time: 0.0174 memory: 10484 grad_norm: 0.2196 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6771 recall@top3: 0.7812 prec@top3: 0.6250 recall@top5: 0.9479 prec@top5: 0.4625 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 13:53:11 - mmengine - INFO - Epoch(train) [5][1320/3842] lr: 6.0212e-02 eta: 3:12:23 time: 0.5103 data_time: 0.0171 memory: 10484 grad_norm: 0.2197 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.7250 recall@top3: 0.7958 prec@top3: 0.5000 recall@top5: 0.9083 prec@top5: 0.3500 loss_action_cls: 0.0600 loss: 0.0600 2022/08/11 13:53:21 - mmengine - INFO - Epoch(train) [5][1340/3842] lr: 6.0151e-02 eta: 3:12:12 time: 0.5137 data_time: 0.0163 memory: 10484 grad_norm: 0.2286 recall@thr=0.5: 0.7458 prec@thr=0.5: 0.7708 recall@top3: 0.7667 prec@top3: 0.6458 recall@top5: 0.9354 prec@top5: 0.4875 loss_action_cls: 0.0582 loss: 0.0582 2022/08/11 13:53:31 - mmengine - INFO - Epoch(train) [5][1360/3842] lr: 6.0090e-02 eta: 3:12:01 time: 0.5146 data_time: 0.0181 memory: 10484 grad_norm: 0.2400 recall@thr=0.5: 0.4148 prec@thr=0.5: 0.6481 recall@top3: 0.6926 prec@top3: 0.6481 recall@top5: 0.8630 prec@top5: 0.5000 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 13:53:41 - mmengine - INFO - Epoch(train) [5][1380/3842] lr: 6.0028e-02 eta: 3:11:50 time: 0.5166 data_time: 0.0179 memory: 10484 grad_norm: 0.2281 recall@thr=0.5: 0.4948 prec@thr=0.5: 0.8021 recall@top3: 0.7969 prec@top3: 0.7708 recall@top5: 0.8594 prec@top5: 0.5000 loss_action_cls: 0.0668 loss: 0.0668 2022/08/11 13:53:52 - mmengine - INFO - Epoch(train) [5][1400/3842] lr: 5.9967e-02 eta: 3:11:39 time: 0.5179 data_time: 0.0187 memory: 10484 grad_norm: 0.2342 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7308 recall@top3: 0.7308 prec@top3: 0.6154 recall@top5: 0.8077 prec@top5: 0.4154 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 13:54:02 - mmengine - INFO - Epoch(train) [5][1420/3842] lr: 5.9906e-02 eta: 3:11:28 time: 0.4913 data_time: 0.0180 memory: 10484 grad_norm: 0.2357 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.9444 recall@top3: 0.8333 prec@top3: 0.6389 recall@top5: 1.0000 prec@top5: 0.4833 loss_action_cls: 0.0573 loss: 0.0573 2022/08/11 13:54:12 - mmengine - INFO - Epoch(train) [5][1440/3842] lr: 5.9844e-02 eta: 3:11:17 time: 0.5163 data_time: 0.0201 memory: 10484 grad_norm: 0.2321 recall@thr=0.5: 0.6711 prec@thr=0.5: 0.7807 recall@top3: 0.9035 prec@top3: 0.7719 recall@top5: 0.9868 prec@top5: 0.4947 loss_action_cls: 0.0598 loss: 0.0598 2022/08/11 13:54:22 - mmengine - INFO - Epoch(train) [5][1460/3842] lr: 5.9782e-02 eta: 3:11:06 time: 0.5150 data_time: 0.0177 memory: 10484 grad_norm: 0.2243 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8393 recall@top3: 1.0000 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0603 loss: 0.0603 2022/08/11 13:54:33 - mmengine - INFO - Epoch(train) [5][1480/3842] lr: 5.9721e-02 eta: 3:10:55 time: 0.5228 data_time: 0.0185 memory: 10484 grad_norm: 0.2252 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.8462 recall@top3: 0.8077 prec@top3: 0.4872 recall@top5: 0.8077 prec@top5: 0.2923 loss_action_cls: 0.0659 loss: 0.0659 2022/08/11 13:54:43 - mmengine - INFO - Epoch(train) [5][1500/3842] lr: 5.9659e-02 eta: 3:10:44 time: 0.5152 data_time: 0.0168 memory: 10484 grad_norm: 0.2135 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.6316 recall@top3: 0.7544 prec@top3: 0.5088 recall@top5: 0.8684 prec@top5: 0.3474 loss_action_cls: 0.0604 loss: 0.0604 2022/08/11 13:54:54 - mmengine - INFO - Epoch(train) [5][1520/3842] lr: 5.9597e-02 eta: 3:10:33 time: 0.5310 data_time: 0.0181 memory: 10484 grad_norm: 0.2357 recall@thr=0.5: 0.8373 prec@thr=0.5: 0.8889 recall@top3: 0.8373 prec@top3: 0.7619 recall@top5: 0.9762 prec@top5: 0.5619 loss_action_cls: 0.0604 loss: 0.0604 2022/08/11 13:55:03 - mmengine - INFO - Epoch(train) [5][1540/3842] lr: 5.9535e-02 eta: 3:10:21 time: 0.4904 data_time: 0.0198 memory: 10484 grad_norm: 0.2334 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8704 recall@top3: 0.8611 prec@top3: 0.7778 recall@top5: 0.9815 prec@top5: 0.5444 loss_action_cls: 0.0611 loss: 0.0611 2022/08/11 13:55:14 - mmengine - INFO - Epoch(train) [5][1560/3842] lr: 5.9473e-02 eta: 3:10:10 time: 0.5142 data_time: 0.0159 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6019 recall@top3: 0.7130 prec@top3: 0.5556 recall@top5: 0.8611 prec@top5: 0.4111 loss_action_cls: 0.0576 loss: 0.0576 2022/08/11 13:55:24 - mmengine - INFO - Epoch(train) [5][1580/3842] lr: 5.9411e-02 eta: 3:09:59 time: 0.5152 data_time: 0.0172 memory: 10484 grad_norm: 0.2285 recall@thr=0.5: 0.9271 prec@thr=0.5: 0.9271 recall@top3: 0.8958 prec@top3: 0.8333 recall@top5: 0.9583 prec@top5: 0.5375 loss_action_cls: 0.0537 loss: 0.0537 2022/08/11 13:55:35 - mmengine - INFO - Epoch(train) [5][1600/3842] lr: 5.9349e-02 eta: 3:09:49 time: 0.5380 data_time: 0.0203 memory: 10484 grad_norm: 0.2138 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8333 recall@top3: 0.7977 prec@top3: 0.8182 recall@top5: 0.9909 prec@top5: 0.6273 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 13:55:45 - mmengine - INFO - Epoch(train) [5][1620/3842] lr: 5.9286e-02 eta: 3:09:37 time: 0.4912 data_time: 0.0183 memory: 10484 grad_norm: 0.2372 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6667 recall@top3: 0.7500 prec@top3: 0.4048 recall@top5: 0.9643 prec@top5: 0.3429 loss_action_cls: 0.0602 loss: 0.0602 2022/08/11 13:55:51 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 13:55:55 - mmengine - INFO - Epoch(train) [5][1640/3842] lr: 5.9224e-02 eta: 3:09:27 time: 0.5339 data_time: 0.0153 memory: 10484 grad_norm: 0.2258 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8333 recall@top3: 0.8772 prec@top3: 0.5789 recall@top5: 1.0000 prec@top5: 0.4105 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 13:56:06 - mmengine - INFO - Epoch(train) [5][1660/3842] lr: 5.9161e-02 eta: 3:09:16 time: 0.5128 data_time: 0.0162 memory: 10484 grad_norm: 0.2197 recall@thr=0.5: 0.6822 prec@thr=0.5: 0.7889 recall@top3: 0.8289 prec@top3: 0.6889 recall@top5: 0.9478 prec@top5: 0.4667 loss_action_cls: 0.0647 loss: 0.0647 2022/08/11 13:56:16 - mmengine - INFO - Epoch(train) [5][1680/3842] lr: 5.9099e-02 eta: 3:09:05 time: 0.5187 data_time: 0.0185 memory: 10484 grad_norm: 0.2322 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.8222 recall@top3: 0.8944 prec@top3: 0.7556 recall@top5: 0.9667 prec@top5: 0.5067 loss_action_cls: 0.0602 loss: 0.0602 2022/08/11 13:56:26 - mmengine - INFO - Epoch(train) [5][1700/3842] lr: 5.9036e-02 eta: 3:08:54 time: 0.5149 data_time: 0.0168 memory: 10484 grad_norm: 0.2346 recall@thr=0.5: 0.6289 prec@thr=0.5: 0.9211 recall@top3: 0.7316 prec@top3: 0.7544 recall@top5: 0.8877 prec@top5: 0.5684 loss_action_cls: 0.0578 loss: 0.0578 2022/08/11 13:56:36 - mmengine - INFO - Epoch(train) [5][1720/3842] lr: 5.8973e-02 eta: 3:08:42 time: 0.4897 data_time: 0.0172 memory: 10484 grad_norm: 0.2182 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8631 recall@top3: 0.7619 prec@top3: 0.6905 recall@top5: 0.9405 prec@top5: 0.5286 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 13:56:46 - mmengine - INFO - Epoch(train) [5][1740/3842] lr: 5.8910e-02 eta: 3:08:31 time: 0.5144 data_time: 0.0153 memory: 10484 grad_norm: 0.2275 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.9545 recall@top3: 0.9318 prec@top3: 0.8485 recall@top5: 1.0000 prec@top5: 0.5636 loss_action_cls: 0.0656 loss: 0.0656 2022/08/11 13:56:57 - mmengine - INFO - Epoch(train) [5][1760/3842] lr: 5.8847e-02 eta: 3:08:20 time: 0.5179 data_time: 0.0188 memory: 10484 grad_norm: 0.2291 recall@thr=0.5: 0.8024 prec@thr=0.5: 0.7619 recall@top3: 0.8345 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.5286 loss_action_cls: 0.0618 loss: 0.0618 2022/08/11 13:57:07 - mmengine - INFO - Epoch(train) [5][1780/3842] lr: 5.8784e-02 eta: 3:08:09 time: 0.5115 data_time: 0.0169 memory: 10484 grad_norm: 0.2295 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8824 recall@top3: 0.8186 prec@top3: 0.6863 recall@top5: 0.9216 prec@top5: 0.4824 loss_action_cls: 0.0623 loss: 0.0623 2022/08/11 13:57:17 - mmengine - INFO - Epoch(train) [5][1800/3842] lr: 5.8721e-02 eta: 3:07:58 time: 0.5171 data_time: 0.0182 memory: 10484 grad_norm: 0.2266 recall@thr=0.5: 0.5201 prec@thr=0.5: 0.7816 recall@top3: 0.6868 prec@top3: 0.6897 recall@top5: 0.8420 prec@top5: 0.5172 loss_action_cls: 0.0581 loss: 0.0581 2022/08/11 13:57:27 - mmengine - INFO - Epoch(train) [5][1820/3842] lr: 5.8658e-02 eta: 3:07:47 time: 0.4898 data_time: 0.0173 memory: 10484 grad_norm: 0.2219 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.7733 recall@top3: 0.8800 prec@top3: 0.5867 recall@top5: 0.9333 prec@top5: 0.3840 loss_action_cls: 0.0557 loss: 0.0557 2022/08/11 13:57:37 - mmengine - INFO - Epoch(train) [5][1840/3842] lr: 5.8594e-02 eta: 3:07:35 time: 0.5035 data_time: 0.0140 memory: 10484 grad_norm: 0.2315 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8039 recall@top3: 0.7990 prec@top3: 0.6863 recall@top5: 0.9461 prec@top5: 0.5176 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 13:57:47 - mmengine - INFO - Epoch(train) [5][1860/3842] lr: 5.8531e-02 eta: 3:07:24 time: 0.5168 data_time: 0.0176 memory: 10484 grad_norm: 0.2280 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8246 recall@top3: 0.8860 prec@top3: 0.7544 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0618 loss: 0.0618 2022/08/11 13:57:58 - mmengine - INFO - Epoch(train) [5][1880/3842] lr: 5.8468e-02 eta: 3:07:13 time: 0.5142 data_time: 0.0166 memory: 10484 grad_norm: 0.2336 recall@thr=0.5: 0.8135 prec@thr=0.5: 0.8651 recall@top3: 0.8373 prec@top3: 0.7937 recall@top5: 0.9167 prec@top5: 0.5333 loss_action_cls: 0.0595 loss: 0.0595 2022/08/11 13:58:08 - mmengine - INFO - Epoch(train) [5][1900/3842] lr: 5.8404e-02 eta: 3:07:02 time: 0.5154 data_time: 0.0184 memory: 10484 grad_norm: 0.2175 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.8490 recall@top3: 0.8240 prec@top3: 0.7083 recall@top5: 0.9479 prec@top5: 0.5250 loss_action_cls: 0.0587 loss: 0.0587 2022/08/11 13:58:18 - mmengine - INFO - Epoch(train) [5][1920/3842] lr: 5.8340e-02 eta: 3:06:51 time: 0.5152 data_time: 0.0166 memory: 10484 grad_norm: 0.2292 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.8102 recall@top3: 0.8148 prec@top3: 0.7963 recall@top5: 0.9167 prec@top5: 0.5556 loss_action_cls: 0.0642 loss: 0.0642 2022/08/11 13:58:29 - mmengine - INFO - Epoch(train) [5][1940/3842] lr: 5.8276e-02 eta: 3:06:40 time: 0.5096 data_time: 0.0177 memory: 10484 grad_norm: 0.2201 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9271 recall@top3: 0.8625 prec@top3: 0.7083 recall@top5: 0.9688 prec@top5: 0.5250 loss_action_cls: 0.0597 loss: 0.0597 2022/08/11 13:58:39 - mmengine - INFO - Epoch(train) [5][1960/3842] lr: 5.8213e-02 eta: 3:06:29 time: 0.4985 data_time: 0.0183 memory: 10484 grad_norm: 0.2185 recall@thr=0.5: 0.5781 prec@thr=0.5: 0.7448 recall@top3: 0.7708 prec@top3: 0.6875 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0580 loss: 0.0580 2022/08/11 13:58:49 - mmengine - INFO - Epoch(train) [5][1980/3842] lr: 5.8149e-02 eta: 3:06:18 time: 0.5288 data_time: 0.0175 memory: 10484 grad_norm: 0.2325 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9000 recall@top3: 0.8500 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0583 loss: 0.0583 2022/08/11 13:59:00 - mmengine - INFO - Epoch(train) [5][2000/3842] lr: 5.8085e-02 eta: 3:06:07 time: 0.5247 data_time: 0.0238 memory: 10484 grad_norm: 0.2225 recall@thr=0.5: 0.8264 prec@thr=0.5: 0.9236 recall@top3: 0.8750 prec@top3: 0.7917 recall@top5: 0.9444 prec@top5: 0.5250 loss_action_cls: 0.0577 loss: 0.0577 2022/08/11 13:59:10 - mmengine - INFO - Epoch(train) [5][2020/3842] lr: 5.8021e-02 eta: 3:05:57 time: 0.5263 data_time: 0.0178 memory: 10484 grad_norm: 0.2219 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7361 recall@top3: 0.8750 prec@top3: 0.5833 recall@top5: 0.8958 prec@top5: 0.3667 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 13:59:21 - mmengine - INFO - Epoch(train) [5][2040/3842] lr: 5.7956e-02 eta: 3:05:46 time: 0.5181 data_time: 0.0171 memory: 10484 grad_norm: 0.2149 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7825 recall@top3: 0.6897 prec@top3: 0.6667 recall@top5: 0.9190 prec@top5: 0.5429 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 13:59:30 - mmengine - INFO - Epoch(train) [5][2060/3842] lr: 5.7892e-02 eta: 3:05:34 time: 0.4898 data_time: 0.0185 memory: 10484 grad_norm: 0.2282 recall@thr=0.5: 0.7184 prec@thr=0.5: 0.8333 recall@top3: 0.8105 prec@top3: 0.7719 recall@top5: 0.9500 prec@top5: 0.5579 loss_action_cls: 0.0622 loss: 0.0622 2022/08/11 13:59:41 - mmengine - INFO - Epoch(train) [5][2080/3842] lr: 5.7828e-02 eta: 3:05:23 time: 0.5130 data_time: 0.0138 memory: 10484 grad_norm: 0.2380 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8214 recall@top3: 0.7976 prec@top3: 0.6905 recall@top5: 0.9048 prec@top5: 0.4714 loss_action_cls: 0.0602 loss: 0.0602 2022/08/11 13:59:51 - mmengine - INFO - Epoch(train) [5][2100/3842] lr: 5.7763e-02 eta: 3:05:12 time: 0.5223 data_time: 0.0186 memory: 10484 grad_norm: 0.2400 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8220 recall@top3: 0.8561 prec@top3: 0.6818 recall@top5: 0.9015 prec@top5: 0.4455 loss_action_cls: 0.0637 loss: 0.0637 2022/08/11 14:00:01 - mmengine - INFO - Epoch(train) [5][2120/3842] lr: 5.7699e-02 eta: 3:05:01 time: 0.5147 data_time: 0.0170 memory: 10484 grad_norm: 0.2191 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6667 recall@top3: 0.7302 prec@top3: 0.5397 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0574 loss: 0.0574 2022/08/11 14:00:12 - mmengine - INFO - Epoch(train) [5][2140/3842] lr: 5.7634e-02 eta: 3:04:51 time: 0.5206 data_time: 0.0186 memory: 10484 grad_norm: 0.2226 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.6574 recall@top3: 0.8241 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.4556 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 14:00:21 - mmengine - INFO - Epoch(train) [5][2160/3842] lr: 5.7569e-02 eta: 3:04:39 time: 0.4881 data_time: 0.0167 memory: 10484 grad_norm: 0.2188 recall@thr=0.5: 0.6472 prec@thr=0.5: 0.6333 recall@top3: 0.8028 prec@top3: 0.5833 recall@top5: 0.9389 prec@top5: 0.4500 loss_action_cls: 0.0590 loss: 0.0590 2022/08/11 14:00:32 - mmengine - INFO - Epoch(train) [5][2180/3842] lr: 5.7504e-02 eta: 3:04:28 time: 0.5160 data_time: 0.0181 memory: 10484 grad_norm: 0.2392 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.9510 recall@top3: 0.8824 prec@top3: 0.5882 recall@top5: 0.9608 prec@top5: 0.4000 loss_action_cls: 0.0582 loss: 0.0582 2022/08/11 14:00:42 - mmengine - INFO - Epoch(train) [5][2200/3842] lr: 5.7440e-02 eta: 3:04:17 time: 0.5112 data_time: 0.0209 memory: 10484 grad_norm: 0.2398 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.6458 recall@top3: 0.8542 prec@top3: 0.5556 recall@top5: 0.9792 prec@top5: 0.4000 loss_action_cls: 0.0606 loss: 0.0606 2022/08/11 14:00:52 - mmengine - INFO - Epoch(train) [5][2220/3842] lr: 5.7375e-02 eta: 3:04:06 time: 0.5145 data_time: 0.0174 memory: 10484 grad_norm: 0.2246 recall@thr=0.5: 0.7538 prec@thr=0.5: 0.7727 recall@top3: 0.7879 prec@top3: 0.7273 recall@top5: 0.9242 prec@top5: 0.5364 loss_action_cls: 0.0645 loss: 0.0645 2022/08/11 14:01:03 - mmengine - INFO - Epoch(train) [5][2240/3842] lr: 5.7310e-02 eta: 3:03:55 time: 0.5133 data_time: 0.0163 memory: 10484 grad_norm: 0.2324 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7333 recall@top3: 0.8556 prec@top3: 0.6444 recall@top5: 0.9222 prec@top5: 0.4000 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 14:01:13 - mmengine - INFO - Epoch(train) [5][2260/3842] lr: 5.7244e-02 eta: 3:03:44 time: 0.5148 data_time: 0.0188 memory: 10484 grad_norm: 0.2487 recall@thr=0.5: 0.4993 prec@thr=0.5: 0.6528 recall@top3: 0.7021 prec@top3: 0.4583 recall@top5: 0.8076 prec@top5: 0.3333 loss_action_cls: 0.0697 loss: 0.0697 2022/08/11 14:01:23 - mmengine - INFO - Epoch(train) [5][2280/3842] lr: 5.7179e-02 eta: 3:03:32 time: 0.4881 data_time: 0.0173 memory: 10484 grad_norm: 0.2294 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7731 recall@top3: 0.8194 prec@top3: 0.7407 recall@top5: 0.9259 prec@top5: 0.5222 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 14:01:33 - mmengine - INFO - Epoch(train) [5][2300/3842] lr: 5.7114e-02 eta: 3:03:21 time: 0.5156 data_time: 0.0174 memory: 10484 grad_norm: 0.2301 recall@thr=0.5: 0.7675 prec@thr=0.5: 0.8509 recall@top3: 0.8526 prec@top3: 0.8421 recall@top5: 0.9684 prec@top5: 0.5895 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 14:01:43 - mmengine - INFO - Epoch(train) [5][2320/3842] lr: 5.7049e-02 eta: 3:03:10 time: 0.5093 data_time: 0.0183 memory: 10484 grad_norm: 0.2267 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7611 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4533 loss_action_cls: 0.0613 loss: 0.0613 2022/08/11 14:01:53 - mmengine - INFO - Epoch(train) [5][2340/3842] lr: 5.6983e-02 eta: 3:02:59 time: 0.5157 data_time: 0.0187 memory: 10484 grad_norm: 0.2176 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8824 recall@top3: 0.7157 prec@top3: 0.8627 recall@top5: 0.9510 prec@top5: 0.6941 loss_action_cls: 0.0636 loss: 0.0636 2022/08/11 14:02:04 - mmengine - INFO - Epoch(train) [5][2360/3842] lr: 5.6918e-02 eta: 3:02:49 time: 0.5196 data_time: 0.0205 memory: 10484 grad_norm: 0.2215 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7250 recall@top3: 0.7083 prec@top3: 0.7333 recall@top5: 0.9458 prec@top5: 0.5900 loss_action_cls: 0.0587 loss: 0.0587 2022/08/11 14:02:14 - mmengine - INFO - Epoch(train) [5][2380/3842] lr: 5.6852e-02 eta: 3:02:38 time: 0.5135 data_time: 0.0165 memory: 10484 grad_norm: 0.2311 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7778 recall@top3: 0.6889 prec@top3: 0.6444 recall@top5: 0.7889 prec@top5: 0.4667 loss_action_cls: 0.0594 loss: 0.0594 2022/08/11 14:02:25 - mmengine - INFO - Epoch(train) [5][2400/3842] lr: 5.6786e-02 eta: 3:02:27 time: 0.5271 data_time: 0.0190 memory: 10484 grad_norm: 0.2316 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.8095 recall@top3: 0.8929 prec@top3: 0.6429 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0672 loss: 0.0672 2022/08/11 14:02:35 - mmengine - INFO - Epoch(train) [5][2420/3842] lr: 5.6720e-02 eta: 3:02:16 time: 0.5175 data_time: 0.0173 memory: 10484 grad_norm: 0.2183 recall@thr=0.5: 0.6375 prec@thr=0.5: 0.8000 recall@top3: 0.7708 prec@top3: 0.7500 recall@top5: 0.9000 prec@top5: 0.5400 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 14:02:45 - mmengine - INFO - Epoch(train) [5][2440/3842] lr: 5.6655e-02 eta: 3:02:05 time: 0.5198 data_time: 0.0175 memory: 10484 grad_norm: 0.2329 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7167 recall@top3: 0.7000 prec@top3: 0.3667 recall@top5: 0.8500 prec@top5: 0.2800 loss_action_cls: 0.0590 loss: 0.0590 2022/08/11 14:02:56 - mmengine - INFO - Epoch(train) [5][2460/3842] lr: 5.6589e-02 eta: 3:01:54 time: 0.5172 data_time: 0.0204 memory: 10484 grad_norm: 0.2341 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6190 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.9405 prec@top5: 0.3857 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 14:03:06 - mmengine - INFO - Epoch(train) [5][2480/3842] lr: 5.6523e-02 eta: 3:01:43 time: 0.5219 data_time: 0.0180 memory: 10484 grad_norm: 0.2183 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5556 recall@top3: 0.7315 prec@top3: 0.4815 recall@top5: 0.8889 prec@top5: 0.3444 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 14:03:17 - mmengine - INFO - Epoch(train) [5][2500/3842] lr: 5.6457e-02 eta: 3:01:32 time: 0.5147 data_time: 0.0188 memory: 10484 grad_norm: 0.2474 recall@thr=0.5: 0.7643 prec@thr=0.5: 0.8869 recall@top3: 0.7458 prec@top3: 0.8095 recall@top5: 0.9167 prec@top5: 0.6143 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 14:03:26 - mmengine - INFO - Epoch(train) [5][2520/3842] lr: 5.6390e-02 eta: 3:01:21 time: 0.4931 data_time: 0.0178 memory: 10484 grad_norm: 0.2329 recall@thr=0.5: 0.8306 prec@thr=0.5: 0.7796 recall@top3: 0.7876 prec@top3: 0.6344 recall@top5: 0.9704 prec@top5: 0.4839 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 14:03:37 - mmengine - INFO - Epoch(train) [5][2540/3842] lr: 5.6324e-02 eta: 3:01:10 time: 0.5133 data_time: 0.0179 memory: 10484 grad_norm: 0.2192 recall@thr=0.5: 0.8269 prec@thr=0.5: 0.8090 recall@top3: 0.8013 prec@top3: 0.7949 recall@top5: 0.9551 prec@top5: 0.5692 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 14:03:47 - mmengine - INFO - Epoch(train) [5][2560/3842] lr: 5.6258e-02 eta: 3:00:59 time: 0.5020 data_time: 0.0165 memory: 10484 grad_norm: 0.2417 recall@thr=0.5: 0.8375 prec@thr=0.5: 0.7900 recall@top3: 0.8292 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 14:03:57 - mmengine - INFO - Epoch(train) [5][2580/3842] lr: 5.6191e-02 eta: 3:00:48 time: 0.5168 data_time: 0.0163 memory: 10484 grad_norm: 0.2181 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9654 recall@top3: 0.8705 prec@top3: 0.8462 recall@top5: 0.9846 prec@top5: 0.6000 loss_action_cls: 0.0600 loss: 0.0600 2022/08/11 14:04:07 - mmengine - INFO - Epoch(train) [5][2600/3842] lr: 5.6125e-02 eta: 3:00:37 time: 0.5059 data_time: 0.0180 memory: 10484 grad_norm: 0.2339 recall@thr=0.5: 0.8854 prec@thr=0.5: 0.7708 recall@top3: 0.8854 prec@top3: 0.6875 recall@top5: 0.9792 prec@top5: 0.4500 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 14:04:17 - mmengine - INFO - Epoch(train) [5][2620/3842] lr: 5.6058e-02 eta: 3:00:25 time: 0.4887 data_time: 0.0172 memory: 10484 grad_norm: 0.2408 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7619 recall@top3: 0.6667 prec@top3: 0.5238 recall@top5: 0.8571 prec@top5: 0.4286 loss_action_cls: 0.0568 loss: 0.0568 2022/08/11 14:04:24 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 14:04:27 - mmengine - INFO - Epoch(train) [5][2640/3842] lr: 5.5992e-02 eta: 3:00:15 time: 0.5268 data_time: 0.0162 memory: 10484 grad_norm: 0.2332 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.6574 recall@top3: 0.7685 prec@top3: 0.6111 recall@top5: 0.8426 prec@top5: 0.4111 loss_action_cls: 0.0621 loss: 0.0621 2022/08/11 14:04:37 - mmengine - INFO - Epoch(train) [5][2660/3842] lr: 5.5925e-02 eta: 3:00:03 time: 0.4901 data_time: 0.0179 memory: 10484 grad_norm: 0.2366 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9375 recall@top3: 1.0000 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.3875 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 14:04:48 - mmengine - INFO - Epoch(train) [5][2680/3842] lr: 5.5858e-02 eta: 2:59:52 time: 0.5252 data_time: 0.0167 memory: 10484 grad_norm: 0.2238 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.8462 recall@top3: 0.6282 prec@top3: 0.6667 recall@top5: 0.8910 prec@top5: 0.5692 loss_action_cls: 0.0632 loss: 0.0632 2022/08/11 14:04:58 - mmengine - INFO - Epoch(train) [5][2700/3842] lr: 5.5791e-02 eta: 2:59:41 time: 0.4953 data_time: 0.0233 memory: 10484 grad_norm: 0.2243 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8778 recall@top3: 0.8222 prec@top3: 0.7556 recall@top5: 0.9444 prec@top5: 0.5467 loss_action_cls: 0.0584 loss: 0.0584 2022/08/11 14:05:08 - mmengine - INFO - Epoch(train) [5][2720/3842] lr: 5.5724e-02 eta: 2:59:30 time: 0.5156 data_time: 0.0168 memory: 10484 grad_norm: 0.2305 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.7273 recall@top3: 0.6061 prec@top3: 0.3939 recall@top5: 0.7273 prec@top5: 0.2909 loss_action_cls: 0.0586 loss: 0.0586 2022/08/11 14:05:18 - mmengine - INFO - Epoch(train) [5][2740/3842] lr: 5.5657e-02 eta: 2:59:19 time: 0.4890 data_time: 0.0155 memory: 10484 grad_norm: 0.2274 recall@thr=0.5: 0.9097 prec@thr=0.5: 0.9028 recall@top3: 0.9583 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0544 loss: 0.0544 2022/08/11 14:05:28 - mmengine - INFO - Epoch(train) [5][2760/3842] lr: 5.5590e-02 eta: 2:59:08 time: 0.5222 data_time: 0.0161 memory: 10484 grad_norm: 0.2221 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.9000 recall@top3: 0.7444 prec@top3: 0.7778 recall@top5: 0.9778 prec@top5: 0.6133 loss_action_cls: 0.0582 loss: 0.0582 2022/08/11 14:05:38 - mmengine - INFO - Epoch(train) [5][2780/3842] lr: 5.5523e-02 eta: 2:58:56 time: 0.4962 data_time: 0.0185 memory: 10484 grad_norm: 0.2294 recall@thr=0.5: 0.6845 prec@thr=0.5: 0.8750 recall@top3: 0.7619 prec@top3: 0.7381 recall@top5: 0.9524 prec@top5: 0.5714 loss_action_cls: 0.0618 loss: 0.0618 2022/08/11 14:05:48 - mmengine - INFO - Epoch(train) [5][2800/3842] lr: 5.5456e-02 eta: 2:58:46 time: 0.5146 data_time: 0.0172 memory: 10484 grad_norm: 0.2270 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.8333 recall@top3: 0.7639 prec@top3: 0.7222 recall@top5: 0.8611 prec@top5: 0.5000 loss_action_cls: 0.0639 loss: 0.0639 2022/08/11 14:05:58 - mmengine - INFO - Epoch(train) [5][2820/3842] lr: 5.5388e-02 eta: 2:58:34 time: 0.4887 data_time: 0.0177 memory: 10484 grad_norm: 0.2187 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.8070 recall@top3: 0.8333 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 14:06:08 - mmengine - INFO - Epoch(train) [5][2840/3842] lr: 5.5321e-02 eta: 2:58:23 time: 0.5123 data_time: 0.0149 memory: 10484 grad_norm: 0.2487 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7353 recall@top3: 0.7794 prec@top3: 0.5490 recall@top5: 0.9363 prec@top5: 0.4353 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 14:06:18 - mmengine - INFO - Epoch(train) [5][2860/3842] lr: 5.5253e-02 eta: 2:58:12 time: 0.4883 data_time: 0.0168 memory: 10484 grad_norm: 0.2263 recall@thr=0.5: 0.7885 prec@thr=0.5: 0.8846 recall@top3: 0.8333 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.5077 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 14:06:29 - mmengine - INFO - Epoch(train) [5][2880/3842] lr: 5.5186e-02 eta: 2:58:01 time: 0.5144 data_time: 0.0166 memory: 10484 grad_norm: 0.2358 recall@thr=0.5: 0.5637 prec@thr=0.5: 0.6667 recall@top3: 0.6176 prec@top3: 0.4706 recall@top5: 0.7696 prec@top5: 0.3765 loss_action_cls: 0.0664 loss: 0.0664 2022/08/11 14:06:38 - mmengine - INFO - Epoch(train) [5][2900/3842] lr: 5.5118e-02 eta: 2:57:49 time: 0.4900 data_time: 0.0165 memory: 10484 grad_norm: 0.2168 recall@thr=0.5: 0.6802 prec@thr=0.5: 0.7698 recall@top3: 0.8048 prec@top3: 0.7143 recall@top5: 0.9095 prec@top5: 0.4952 loss_action_cls: 0.0595 loss: 0.0595 2022/08/11 14:06:49 - mmengine - INFO - Epoch(train) [5][2920/3842] lr: 5.5050e-02 eta: 2:57:38 time: 0.5104 data_time: 0.0168 memory: 10484 grad_norm: 0.2325 recall@thr=0.5: 0.6324 prec@thr=0.5: 0.7304 recall@top3: 0.7304 prec@top3: 0.7451 recall@top5: 0.9265 prec@top5: 0.5882 loss_action_cls: 0.0576 loss: 0.0576 2022/08/11 14:06:58 - mmengine - INFO - Epoch(train) [5][2940/3842] lr: 5.4983e-02 eta: 2:57:27 time: 0.4879 data_time: 0.0174 memory: 10484 grad_norm: 0.2378 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8500 recall@top3: 0.7000 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.5200 loss_action_cls: 0.0576 loss: 0.0576 2022/08/11 14:07:09 - mmengine - INFO - Epoch(train) [5][2960/3842] lr: 5.4915e-02 eta: 2:57:16 time: 0.5154 data_time: 0.0161 memory: 10484 grad_norm: 0.2278 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7990 recall@top3: 0.6971 prec@top3: 0.7647 recall@top5: 0.8941 prec@top5: 0.6235 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 14:07:19 - mmengine - INFO - Epoch(train) [5][2980/3842] lr: 5.4847e-02 eta: 2:57:05 time: 0.5261 data_time: 0.0169 memory: 10484 grad_norm: 0.2317 recall@thr=0.5: 0.4490 prec@thr=0.5: 0.8958 recall@top3: 0.6583 prec@top3: 0.7500 recall@top5: 0.8438 prec@top5: 0.6000 loss_action_cls: 0.0615 loss: 0.0615 2022/08/11 14:07:29 - mmengine - INFO - Epoch(train) [5][3000/3842] lr: 5.4779e-02 eta: 2:56:54 time: 0.5166 data_time: 0.0166 memory: 10484 grad_norm: 0.2174 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.7026 recall@top3: 0.7436 prec@top3: 0.5641 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0506 loss: 0.0506 2022/08/11 14:07:40 - mmengine - INFO - Epoch(train) [5][3020/3842] lr: 5.4711e-02 eta: 2:56:43 time: 0.5193 data_time: 0.0177 memory: 10484 grad_norm: 0.2201 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.6078 recall@top3: 0.6569 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.4941 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 14:07:50 - mmengine - INFO - Epoch(train) [5][3040/3842] lr: 5.4643e-02 eta: 2:56:33 time: 0.5202 data_time: 0.0177 memory: 10484 grad_norm: 0.2285 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6000 recall@top3: 0.6417 prec@top3: 0.5667 recall@top5: 0.8917 prec@top5: 0.4600 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 14:08:01 - mmengine - INFO - Epoch(train) [5][3060/3842] lr: 5.4574e-02 eta: 2:56:22 time: 0.5179 data_time: 0.0176 memory: 10484 grad_norm: 0.2288 recall@thr=0.5: 0.6378 prec@thr=0.5: 0.7051 recall@top3: 0.7051 prec@top3: 0.7051 recall@top5: 0.9231 prec@top5: 0.5615 loss_action_cls: 0.0564 loss: 0.0564 2022/08/11 14:08:11 - mmengine - INFO - Epoch(train) [5][3080/3842] lr: 5.4506e-02 eta: 2:56:11 time: 0.5147 data_time: 0.0182 memory: 10484 grad_norm: 0.2268 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8222 recall@top3: 0.8778 prec@top3: 0.7556 recall@top5: 0.9778 prec@top5: 0.5067 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 14:08:21 - mmengine - INFO - Epoch(train) [5][3100/3842] lr: 5.4438e-02 eta: 2:56:00 time: 0.4941 data_time: 0.0171 memory: 10484 grad_norm: 0.2464 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6548 recall@top3: 0.7024 prec@top3: 0.5238 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0624 loss: 0.0624 2022/08/11 14:08:31 - mmengine - INFO - Epoch(train) [5][3120/3842] lr: 5.4369e-02 eta: 2:55:49 time: 0.5135 data_time: 0.0184 memory: 10484 grad_norm: 0.2181 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6204 recall@top3: 0.7824 prec@top3: 0.6852 recall@top5: 0.9583 prec@top5: 0.5111 loss_action_cls: 0.0572 loss: 0.0572 2022/08/11 14:08:42 - mmengine - INFO - Epoch(train) [5][3140/3842] lr: 5.4301e-02 eta: 2:55:38 time: 0.5281 data_time: 0.0173 memory: 10484 grad_norm: 0.2295 recall@thr=0.5: 0.6896 prec@thr=0.5: 0.8917 recall@top3: 0.7198 prec@top3: 0.7083 recall@top5: 0.8927 prec@top5: 0.5375 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 14:08:52 - mmengine - INFO - Epoch(train) [5][3160/3842] lr: 5.4232e-02 eta: 2:55:27 time: 0.5168 data_time: 0.0170 memory: 10484 grad_norm: 0.2188 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.5076 recall@top3: 0.7121 prec@top3: 0.5455 recall@top5: 0.8788 prec@top5: 0.4000 loss_action_cls: 0.0573 loss: 0.0573 2022/08/11 14:09:03 - mmengine - INFO - Epoch(train) [5][3180/3842] lr: 5.4164e-02 eta: 2:55:17 time: 0.5521 data_time: 0.0167 memory: 10484 grad_norm: 0.2336 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8519 recall@top3: 0.8102 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.5222 loss_action_cls: 0.0636 loss: 0.0636 2022/08/11 14:09:13 - mmengine - INFO - Epoch(train) [5][3200/3842] lr: 5.4095e-02 eta: 2:55:06 time: 0.5207 data_time: 0.0226 memory: 10484 grad_norm: 0.2400 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7619 recall@top3: 0.8810 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0548 loss: 0.0548 2022/08/11 14:09:24 - mmengine - INFO - Epoch(train) [5][3220/3842] lr: 5.4026e-02 eta: 2:54:55 time: 0.5045 data_time: 0.0182 memory: 10484 grad_norm: 0.2294 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7451 recall@top3: 0.8480 prec@top3: 0.6667 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0628 loss: 0.0628 2022/08/11 14:09:35 - mmengine - INFO - Epoch(train) [5][3240/3842] lr: 5.3957e-02 eta: 2:54:46 time: 0.5940 data_time: 0.0969 memory: 10484 grad_norm: 0.2372 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.8083 recall@top3: 0.8417 prec@top3: 0.6833 recall@top5: 0.9750 prec@top5: 0.4900 loss_action_cls: 0.0638 loss: 0.0638 2022/08/11 14:09:46 - mmengine - INFO - Epoch(train) [5][3260/3842] lr: 5.3888e-02 eta: 2:54:36 time: 0.5548 data_time: 0.0149 memory: 10484 grad_norm: 0.2336 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8904 recall@top3: 0.7737 prec@top3: 0.8070 recall@top5: 0.9579 prec@top5: 0.6211 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 14:09:57 - mmengine - INFO - Epoch(train) [5][3280/3842] lr: 5.3819e-02 eta: 2:54:25 time: 0.5191 data_time: 0.0244 memory: 10484 grad_norm: 0.2308 recall@thr=0.5: 0.8974 prec@thr=0.5: 0.8462 recall@top3: 1.0000 prec@top3: 0.6923 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0598 loss: 0.0598 2022/08/11 14:10:07 - mmengine - INFO - Epoch(train) [5][3300/3842] lr: 5.3750e-02 eta: 2:54:14 time: 0.5230 data_time: 0.0183 memory: 10484 grad_norm: 0.2186 recall@thr=0.5: 0.6845 prec@thr=0.5: 0.8333 recall@top3: 0.7440 prec@top3: 0.7143 recall@top5: 0.9107 prec@top5: 0.5429 loss_action_cls: 0.0526 loss: 0.0526 2022/08/11 14:10:17 - mmengine - INFO - Epoch(train) [5][3320/3842] lr: 5.3681e-02 eta: 2:54:03 time: 0.4920 data_time: 0.0201 memory: 10484 grad_norm: 0.2233 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.9069 recall@top3: 0.9020 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0544 loss: 0.0544 2022/08/11 14:10:27 - mmengine - INFO - Epoch(train) [5][3340/3842] lr: 5.3612e-02 eta: 2:53:52 time: 0.5128 data_time: 0.0152 memory: 10484 grad_norm: 0.2320 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9286 recall@top3: 0.9286 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0605 loss: 0.0605 2022/08/11 14:10:37 - mmengine - INFO - Epoch(train) [5][3360/3842] lr: 5.3543e-02 eta: 2:53:41 time: 0.4896 data_time: 0.0171 memory: 10484 grad_norm: 0.2250 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8070 recall@top3: 0.8070 prec@top3: 0.7368 recall@top5: 0.8904 prec@top5: 0.5053 loss_action_cls: 0.0633 loss: 0.0633 2022/08/11 14:10:47 - mmengine - INFO - Epoch(train) [5][3380/3842] lr: 5.3474e-02 eta: 2:53:30 time: 0.5112 data_time: 0.0157 memory: 10484 grad_norm: 0.2324 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.7056 recall@top3: 0.8722 prec@top3: 0.6000 recall@top5: 0.9444 prec@top5: 0.4133 loss_action_cls: 0.0633 loss: 0.0633 2022/08/11 14:10:57 - mmengine - INFO - Epoch(train) [5][3400/3842] lr: 5.3404e-02 eta: 2:53:18 time: 0.4920 data_time: 0.0177 memory: 10484 grad_norm: 0.2388 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.7889 recall@top3: 0.9333 prec@top3: 0.8222 recall@top5: 0.9778 prec@top5: 0.5200 loss_action_cls: 0.0672 loss: 0.0672 2022/08/11 14:11:07 - mmengine - INFO - Epoch(train) [5][3420/3842] lr: 5.3335e-02 eta: 2:53:07 time: 0.5097 data_time: 0.0145 memory: 10484 grad_norm: 0.2299 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8608 recall@top3: 0.8451 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5882 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 14:11:18 - mmengine - INFO - Epoch(train) [5][3440/3842] lr: 5.3265e-02 eta: 2:52:56 time: 0.5137 data_time: 0.0176 memory: 10484 grad_norm: 0.2341 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7549 recall@top3: 0.8137 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0539 loss: 0.0539 2022/08/11 14:11:28 - mmengine - INFO - Epoch(train) [5][3460/3842] lr: 5.3196e-02 eta: 2:52:45 time: 0.4892 data_time: 0.0174 memory: 10484 grad_norm: 0.2310 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.8625 recall@top3: 0.7458 prec@top3: 0.7167 recall@top5: 0.9875 prec@top5: 0.6000 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 14:11:38 - mmengine - INFO - Epoch(train) [5][3480/3842] lr: 5.3126e-02 eta: 2:52:34 time: 0.5203 data_time: 0.0170 memory: 10484 grad_norm: 0.2345 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7632 recall@top3: 0.8333 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4316 loss_action_cls: 0.0549 loss: 0.0549 2022/08/11 14:11:48 - mmengine - INFO - Epoch(train) [5][3500/3842] lr: 5.3056e-02 eta: 2:52:23 time: 0.4909 data_time: 0.0225 memory: 10484 grad_norm: 0.2303 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.7564 recall@top3: 0.9038 prec@top3: 0.7179 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 14:11:58 - mmengine - INFO - Epoch(train) [5][3520/3842] lr: 5.2986e-02 eta: 2:52:12 time: 0.5115 data_time: 0.0150 memory: 10484 grad_norm: 0.2348 recall@thr=0.5: 0.6869 prec@thr=0.5: 0.8155 recall@top3: 0.7643 prec@top3: 0.8333 recall@top5: 0.8643 prec@top5: 0.5857 loss_action_cls: 0.0586 loss: 0.0586 2022/08/11 14:12:08 - mmengine - INFO - Epoch(train) [5][3540/3842] lr: 5.2917e-02 eta: 2:52:01 time: 0.5178 data_time: 0.0193 memory: 10484 grad_norm: 0.2237 recall@thr=0.5: 0.8781 prec@thr=0.5: 0.8594 recall@top3: 0.9281 prec@top3: 0.7292 recall@top5: 0.9719 prec@top5: 0.4750 loss_action_cls: 0.0612 loss: 0.0612 2022/08/11 14:12:20 - mmengine - INFO - Epoch(train) [5][3560/3842] lr: 5.2847e-02 eta: 2:51:52 time: 0.5939 data_time: 0.0182 memory: 10484 grad_norm: 0.2341 recall@thr=0.5: 0.7367 prec@thr=0.5: 0.9033 recall@top3: 0.8300 prec@top3: 0.8889 recall@top5: 0.9511 prec@top5: 0.6267 loss_action_cls: 0.0578 loss: 0.0578 2022/08/11 14:12:30 - mmengine - INFO - Epoch(train) [5][3580/3842] lr: 5.2777e-02 eta: 2:51:41 time: 0.5125 data_time: 0.0166 memory: 10484 grad_norm: 0.2246 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.7692 recall@top3: 0.9231 prec@top3: 0.8205 recall@top5: 0.9744 prec@top5: 0.5231 loss_action_cls: 0.0585 loss: 0.0585 2022/08/11 14:12:40 - mmengine - INFO - Epoch(train) [5][3600/3842] lr: 5.2707e-02 eta: 2:51:30 time: 0.4937 data_time: 0.0176 memory: 10484 grad_norm: 0.2386 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6071 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 0.9167 prec@top5: 0.3857 loss_action_cls: 0.0709 loss: 0.0709 2022/08/11 14:12:51 - mmengine - INFO - Epoch(train) [5][3620/3842] lr: 5.2637e-02 eta: 2:51:19 time: 0.5130 data_time: 0.0159 memory: 10484 grad_norm: 0.2339 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8690 recall@top3: 0.8452 prec@top3: 0.7143 recall@top5: 0.9405 prec@top5: 0.4857 loss_action_cls: 0.0638 loss: 0.0638 2022/08/11 14:12:56 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 14:13:00 - mmengine - INFO - Epoch(train) [5][3640/3842] lr: 5.2566e-02 eta: 2:51:07 time: 0.4920 data_time: 0.0181 memory: 10484 grad_norm: 0.2249 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.6111 recall@top3: 0.7361 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 14:13:11 - mmengine - INFO - Epoch(train) [5][3660/3842] lr: 5.2496e-02 eta: 2:50:57 time: 0.5186 data_time: 0.0147 memory: 10484 grad_norm: 0.2271 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7157 recall@top3: 0.7843 prec@top3: 0.4706 recall@top5: 0.9216 prec@top5: 0.3647 loss_action_cls: 0.0631 loss: 0.0631 2022/08/11 14:13:21 - mmengine - INFO - Epoch(train) [5][3680/3842] lr: 5.2426e-02 eta: 2:50:45 time: 0.4882 data_time: 0.0177 memory: 10484 grad_norm: 0.2234 recall@thr=0.5: 0.6090 prec@thr=0.5: 0.8077 recall@top3: 0.8526 prec@top3: 0.6923 recall@top5: 0.9487 prec@top5: 0.4615 loss_action_cls: 0.0580 loss: 0.0580 2022/08/11 14:13:31 - mmengine - INFO - Epoch(train) [5][3700/3842] lr: 5.2355e-02 eta: 2:50:34 time: 0.5129 data_time: 0.0150 memory: 10484 grad_norm: 0.2426 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7206 recall@top3: 0.7451 prec@top3: 0.6275 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0629 loss: 0.0629 2022/08/11 14:13:41 - mmengine - INFO - Epoch(train) [5][3720/3842] lr: 5.2285e-02 eta: 2:50:23 time: 0.4922 data_time: 0.0202 memory: 10484 grad_norm: 0.2355 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.7157 recall@top3: 0.8824 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0588 loss: 0.0588 2022/08/11 14:13:51 - mmengine - INFO - Epoch(train) [5][3740/3842] lr: 5.2215e-02 eta: 2:50:12 time: 0.5117 data_time: 0.0159 memory: 10484 grad_norm: 0.2264 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.7917 recall@top3: 0.9271 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0581 loss: 0.0581 2022/08/11 14:14:01 - mmengine - INFO - Epoch(train) [5][3760/3842] lr: 5.2144e-02 eta: 2:50:01 time: 0.4898 data_time: 0.0180 memory: 10484 grad_norm: 0.2292 recall@thr=0.5: 0.6361 prec@thr=0.5: 0.8750 recall@top3: 0.7583 prec@top3: 0.7222 recall@top5: 0.9583 prec@top5: 0.5833 loss_action_cls: 0.0632 loss: 0.0632 2022/08/11 14:14:11 - mmengine - INFO - Epoch(train) [5][3780/3842] lr: 5.2073e-02 eta: 2:49:50 time: 0.5153 data_time: 0.0191 memory: 10484 grad_norm: 0.2236 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7685 recall@top3: 0.7593 prec@top3: 0.6481 recall@top5: 0.9815 prec@top5: 0.4667 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 14:14:21 - mmengine - INFO - Epoch(train) [5][3800/3842] lr: 5.2003e-02 eta: 2:49:39 time: 0.5044 data_time: 0.0192 memory: 10484 grad_norm: 0.2346 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.9744 recall@top3: 0.9038 prec@top3: 0.7692 recall@top5: 0.9744 prec@top5: 0.5077 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 14:14:31 - mmengine - INFO - Epoch(train) [5][3820/3842] lr: 5.1932e-02 eta: 2:49:28 time: 0.5163 data_time: 0.0215 memory: 10484 grad_norm: 0.2284 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7556 recall@top3: 0.9000 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 14:14:42 - mmengine - INFO - Epoch(train) [5][3840/3842] lr: 5.1861e-02 eta: 2:49:17 time: 0.5039 data_time: 0.0176 memory: 10484 grad_norm: 0.2208 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.8667 recall@top3: 0.8261 prec@top3: 0.7681 recall@top5: 0.9783 prec@top5: 0.5478 loss_action_cls: 0.0545 loss: 0.0545 2022/08/11 14:14:42 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 14:14:42 - mmengine - INFO - Epoch(train) [5][3842/3842] lr: 5.1854e-02 eta: 2:49:17 time: 0.4923 data_time: 0.0181 memory: 10484 grad_norm: 0.2639 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5833 recall@top3: 0.5000 prec@top3: 0.5000 recall@top5: 0.8750 prec@top5: 0.5000 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 14:14:42 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/11 14:14:50 - mmengine - INFO - Epoch(val) [5][20/6282] eta: 0:06:40 time: 0.0640 data_time: 0.0167 memory: 703 2022/08/11 14:14:51 - mmengine - INFO - Epoch(val) [5][40/6282] eta: 0:05:18 time: 0.0510 data_time: 0.0051 memory: 703 2022/08/11 14:14:52 - mmengine - INFO - Epoch(val) [5][60/6282] eta: 0:05:30 time: 0.0531 data_time: 0.0055 memory: 703 2022/08/11 14:14:53 - mmengine - INFO - Epoch(val) [5][80/6282] eta: 0:05:17 time: 0.0511 data_time: 0.0040 memory: 703 2022/08/11 14:14:54 - mmengine - INFO - Epoch(val) [5][100/6282] eta: 0:05:14 time: 0.0509 data_time: 0.0048 memory: 703 2022/08/11 14:14:55 - mmengine - INFO - Epoch(val) [5][120/6282] eta: 0:06:18 time: 0.0614 data_time: 0.0044 memory: 809 2022/08/11 14:14:56 - mmengine - INFO - Epoch(val) [5][140/6282] eta: 0:06:50 time: 0.0668 data_time: 0.0060 memory: 809 2022/08/11 14:14:58 - mmengine - INFO - Epoch(val) [5][160/6282] eta: 0:06:35 time: 0.0647 data_time: 0.0048 memory: 809 2022/08/11 14:14:59 - mmengine - INFO - Epoch(val) [5][180/6282] eta: 0:07:04 time: 0.0696 data_time: 0.0057 memory: 809 2022/08/11 14:15:01 - mmengine - INFO - Epoch(val) [5][200/6282] eta: 0:07:56 time: 0.0783 data_time: 0.0063 memory: 809 2022/08/11 14:15:02 - mmengine - INFO - Epoch(val) [5][220/6282] eta: 0:05:52 time: 0.0581 data_time: 0.0059 memory: 738 2022/08/11 14:15:03 - mmengine - INFO - Epoch(val) [5][240/6282] eta: 0:05:52 time: 0.0583 data_time: 0.0056 memory: 738 2022/08/11 14:15:04 - mmengine - INFO - Epoch(val) [5][260/6282] eta: 0:05:47 time: 0.0578 data_time: 0.0058 memory: 738 2022/08/11 14:15:05 - mmengine - INFO - Epoch(val) [5][280/6282] eta: 0:05:40 time: 0.0568 data_time: 0.0050 memory: 738 2022/08/11 14:15:07 - mmengine - INFO - Epoch(val) [5][300/6282] eta: 0:06:20 time: 0.0636 data_time: 0.0052 memory: 809 2022/08/11 14:15:08 - mmengine - INFO - Epoch(val) [5][320/6282] eta: 0:08:49 time: 0.0889 data_time: 0.0256 memory: 809 2022/08/11 14:15:10 - mmengine - INFO - Epoch(val) [5][340/6282] eta: 0:08:28 time: 0.0855 data_time: 0.0196 memory: 809 2022/08/11 14:15:12 - mmengine - INFO - Epoch(val) [5][360/6282] eta: 0:08:42 time: 0.0882 data_time: 0.0210 memory: 809 2022/08/11 14:15:14 - mmengine - INFO - Epoch(val) [5][380/6282] eta: 0:08:02 time: 0.0817 data_time: 0.0128 memory: 809 2022/08/11 14:15:15 - mmengine - INFO - Epoch(val) [5][400/6282] eta: 0:06:34 time: 0.0670 data_time: 0.0069 memory: 809 2022/08/11 14:15:16 - mmengine - INFO - Epoch(val) [5][420/6282] eta: 0:05:53 time: 0.0603 data_time: 0.0052 memory: 743 2022/08/11 14:15:17 - mmengine - INFO - Epoch(val) [5][440/6282] eta: 0:05:44 time: 0.0590 data_time: 0.0061 memory: 743 2022/08/11 14:15:18 - mmengine - INFO - Epoch(val) [5][460/6282] eta: 0:05:19 time: 0.0548 data_time: 0.0054 memory: 743 2022/08/11 14:15:20 - mmengine - INFO - Epoch(val) [5][480/6282] eta: 0:07:49 time: 0.0809 data_time: 0.0067 memory: 743 2022/08/11 14:15:21 - mmengine - INFO - Epoch(val) [5][500/6282] eta: 0:05:11 time: 0.0539 data_time: 0.0053 memory: 743 2022/08/11 14:15:22 - mmengine - INFO - Epoch(val) [5][520/6282] eta: 0:04:48 time: 0.0501 data_time: 0.0037 memory: 738 2022/08/11 14:15:23 - mmengine - INFO - Epoch(val) [5][540/6282] eta: 0:04:46 time: 0.0500 data_time: 0.0047 memory: 738 2022/08/11 14:15:24 - mmengine - INFO - Epoch(val) [5][560/6282] eta: 0:04:56 time: 0.0518 data_time: 0.0039 memory: 738 2022/08/11 14:15:25 - mmengine - INFO - Epoch(val) [5][580/6282] eta: 0:04:52 time: 0.0512 data_time: 0.0042 memory: 738 2022/08/11 14:15:26 - mmengine - INFO - Epoch(val) [5][600/6282] eta: 0:05:18 time: 0.0561 data_time: 0.0059 memory: 738 2022/08/11 14:15:27 - mmengine - INFO - Epoch(val) [5][620/6282] eta: 0:04:52 time: 0.0516 data_time: 0.0048 memory: 738 2022/08/11 14:15:28 - mmengine - INFO - Epoch(val) [5][640/6282] eta: 0:04:38 time: 0.0494 data_time: 0.0036 memory: 733 2022/08/11 14:15:29 - mmengine - INFO - Epoch(val) [5][660/6282] eta: 0:04:54 time: 0.0523 data_time: 0.0040 memory: 733 2022/08/11 14:15:30 - mmengine - INFO - Epoch(val) [5][680/6282] eta: 0:04:55 time: 0.0528 data_time: 0.0046 memory: 733 2022/08/11 14:15:31 - mmengine - INFO - Epoch(val) [5][700/6282] eta: 0:04:44 time: 0.0510 data_time: 0.0052 memory: 733 2022/08/11 14:15:34 - mmengine - INFO - Epoch(val) [5][720/6282] eta: 0:12:25 time: 0.1340 data_time: 0.0761 memory: 809 2022/08/11 14:15:38 - mmengine - INFO - Epoch(val) [5][740/6282] eta: 0:17:38 time: 0.1909 data_time: 0.1314 memory: 809 2022/08/11 14:15:41 - mmengine - INFO - Epoch(val) [5][760/6282] eta: 0:14:00 time: 0.1521 data_time: 0.0602 memory: 809 2022/08/11 14:15:44 - mmengine - INFO - Epoch(val) [5][780/6282] eta: 0:15:12 time: 0.1658 data_time: 0.1084 memory: 809 2022/08/11 14:15:47 - mmengine - INFO - Epoch(val) [5][800/6282] eta: 0:11:52 time: 0.1300 data_time: 0.0680 memory: 809 2022/08/11 14:15:49 - mmengine - INFO - Epoch(val) [5][820/6282] eta: 0:08:38 time: 0.0949 data_time: 0.0398 memory: 809 2022/08/11 14:15:50 - mmengine - INFO - Epoch(val) [5][840/6282] eta: 0:05:13 time: 0.0575 data_time: 0.0045 memory: 738 2022/08/11 14:15:51 - mmengine - INFO - Epoch(val) [5][860/6282] eta: 0:05:06 time: 0.0565 data_time: 0.0061 memory: 738 2022/08/11 14:15:52 - mmengine - INFO - Epoch(val) [5][880/6282] eta: 0:04:59 time: 0.0555 data_time: 0.0061 memory: 738 2022/08/11 14:15:53 - mmengine - INFO - Epoch(val) [5][900/6282] eta: 0:05:18 time: 0.0592 data_time: 0.0056 memory: 738 2022/08/11 14:15:55 - mmengine - INFO - Epoch(val) [5][920/6282] eta: 0:05:02 time: 0.0565 data_time: 0.0046 memory: 738 2022/08/11 14:15:56 - mmengine - INFO - Epoch(val) [5][940/6282] eta: 0:04:49 time: 0.0542 data_time: 0.0047 memory: 703 2022/08/11 14:15:57 - mmengine - INFO - Epoch(val) [5][960/6282] eta: 0:04:46 time: 0.0539 data_time: 0.0051 memory: 703 2022/08/11 14:15:58 - mmengine - INFO - Epoch(val) [5][980/6282] eta: 0:04:44 time: 0.0536 data_time: 0.0047 memory: 703 2022/08/11 14:15:59 - mmengine - INFO - Epoch(val) [5][1000/6282] eta: 0:04:51 time: 0.0552 data_time: 0.0055 memory: 703 2022/08/11 14:16:01 - mmengine - INFO - Epoch(val) [5][1020/6282] eta: 0:07:05 time: 0.0808 data_time: 0.0054 memory: 738 2022/08/11 14:16:02 - mmengine - INFO - Epoch(val) [5][1040/6282] eta: 0:05:03 time: 0.0579 data_time: 0.0048 memory: 738 2022/08/11 14:16:03 - mmengine - INFO - Epoch(val) [5][1060/6282] eta: 0:04:54 time: 0.0564 data_time: 0.0053 memory: 738 2022/08/11 14:16:04 - mmengine - INFO - Epoch(val) [5][1080/6282] eta: 0:05:03 time: 0.0584 data_time: 0.0060 memory: 738 2022/08/11 14:16:05 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:04:44 time: 0.0549 data_time: 0.0054 memory: 738 2022/08/11 14:16:06 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:04:59 time: 0.0580 data_time: 0.0052 memory: 738 2022/08/11 14:16:08 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:05:22 time: 0.0628 data_time: 0.0071 memory: 738 2022/08/11 14:16:09 - mmengine - INFO - Epoch(val) [5][1160/6282] eta: 0:04:25 time: 0.0517 data_time: 0.0037 memory: 738 2022/08/11 14:16:10 - mmengine - INFO - Epoch(val) [5][1180/6282] eta: 0:04:37 time: 0.0543 data_time: 0.0042 memory: 738 2022/08/11 14:16:11 - mmengine - INFO - Epoch(val) [5][1200/6282] eta: 0:04:33 time: 0.0539 data_time: 0.0062 memory: 738 2022/08/11 14:16:12 - mmengine - INFO - Epoch(val) [5][1220/6282] eta: 0:04:32 time: 0.0538 data_time: 0.0049 memory: 738 2022/08/11 14:16:15 - mmengine - INFO - Epoch(val) [5][1240/6282] eta: 0:14:10 time: 0.1687 data_time: 0.1090 memory: 809 2022/08/11 14:16:18 - mmengine - INFO - Epoch(val) [5][1260/6282] eta: 0:13:21 time: 0.1596 data_time: 0.0824 memory: 809 2022/08/11 14:16:22 - mmengine - INFO - Epoch(val) [5][1280/6282] eta: 0:14:28 time: 0.1736 data_time: 0.1128 memory: 809 2022/08/11 14:16:25 - mmengine - INFO - Epoch(val) [5][1300/6282] eta: 0:11:51 time: 0.1428 data_time: 0.0843 memory: 809 2022/08/11 14:16:29 - mmengine - INFO - Epoch(val) [5][1320/6282] eta: 0:15:28 time: 0.1872 data_time: 0.1281 memory: 809 2022/08/11 14:16:31 - mmengine - INFO - Epoch(val) [5][1340/6282] eta: 0:11:46 time: 0.1430 data_time: 0.0536 memory: 809 2022/08/11 14:16:35 - mmengine - INFO - Epoch(val) [5][1360/6282] eta: 0:14:29 time: 0.1766 data_time: 0.1194 memory: 809 2022/08/11 14:16:38 - mmengine - INFO - Epoch(val) [5][1380/6282] eta: 0:11:22 time: 0.1393 data_time: 0.0818 memory: 809 2022/08/11 14:16:41 - mmengine - INFO - Epoch(val) [5][1400/6282] eta: 0:14:12 time: 0.1746 data_time: 0.1181 memory: 809 2022/08/11 14:16:44 - mmengine - INFO - Epoch(val) [5][1420/6282] eta: 0:11:11 time: 0.1382 data_time: 0.0802 memory: 809 2022/08/11 14:16:46 - mmengine - INFO - Epoch(val) [5][1440/6282] eta: 0:07:11 time: 0.0891 data_time: 0.0303 memory: 809 2022/08/11 14:16:47 - mmengine - INFO - Epoch(val) [5][1460/6282] eta: 0:05:23 time: 0.0671 data_time: 0.0054 memory: 809 2022/08/11 14:16:48 - mmengine - INFO - Epoch(val) [5][1480/6282] eta: 0:05:21 time: 0.0671 data_time: 0.0046 memory: 809 2022/08/11 14:16:50 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:06:54 time: 0.0866 data_time: 0.0056 memory: 809 2022/08/11 14:16:52 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:05:17 time: 0.0667 data_time: 0.0061 memory: 911 2022/08/11 14:16:53 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:06:24 time: 0.0810 data_time: 0.0073 memory: 911 2022/08/11 14:16:55 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:06:01 time: 0.0766 data_time: 0.0056 memory: 911 2022/08/11 14:16:56 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:06:08 time: 0.0785 data_time: 0.0064 memory: 911 2022/08/11 14:16:58 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:06:22 time: 0.0817 data_time: 0.0061 memory: 911 2022/08/11 14:16:59 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:06:03 time: 0.0780 data_time: 0.0054 memory: 911 2022/08/11 14:17:01 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:06:30 time: 0.0841 data_time: 0.0045 memory: 809 2022/08/11 14:17:02 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:04:45 time: 0.0617 data_time: 0.0046 memory: 809 2022/08/11 14:17:04 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:04:30 time: 0.0589 data_time: 0.0044 memory: 809 2022/08/11 14:17:05 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:04:41 time: 0.0615 data_time: 0.0053 memory: 809 2022/08/11 14:17:06 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:04:34 time: 0.0601 data_time: 0.0041 memory: 809 2022/08/11 14:17:07 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:04:23 time: 0.0580 data_time: 0.0039 memory: 809 2022/08/11 14:17:08 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:04:46 time: 0.0633 data_time: 0.0049 memory: 809 2022/08/11 14:17:10 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:05:14 time: 0.0699 data_time: 0.0058 memory: 809 2022/08/11 14:17:11 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:04:54 time: 0.0658 data_time: 0.0068 memory: 809 2022/08/11 14:17:12 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:04:45 time: 0.0639 data_time: 0.0052 memory: 809 2022/08/11 14:17:14 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:05:53 time: 0.0796 data_time: 0.0186 memory: 809 2022/08/11 14:17:18 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:13:49 time: 0.1875 data_time: 0.1245 memory: 809 2022/08/11 14:17:21 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:11:40 time: 0.1592 data_time: 0.0754 memory: 809 2022/08/11 14:17:24 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:11:51 time: 0.1624 data_time: 0.1014 memory: 809 2022/08/11 14:17:27 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:09:03 time: 0.1245 data_time: 0.0655 memory: 809 2022/08/11 14:17:29 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:08:43 time: 0.1206 data_time: 0.0636 memory: 809 2022/08/11 14:17:30 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:04:08 time: 0.0576 data_time: 0.0040 memory: 743 2022/08/11 14:17:31 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:04:03 time: 0.0566 data_time: 0.0052 memory: 743 2022/08/11 14:17:33 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:04:08 time: 0.0581 data_time: 0.0051 memory: 743 2022/08/11 14:17:34 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:04:00 time: 0.0563 data_time: 0.0064 memory: 743 2022/08/11 14:17:35 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:04:05 time: 0.0579 data_time: 0.0061 memory: 743 2022/08/11 14:17:36 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:03:58 time: 0.0564 data_time: 0.0046 memory: 743 2022/08/11 14:17:37 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:04:02 time: 0.0577 data_time: 0.0047 memory: 743 2022/08/11 14:17:38 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:03:59 time: 0.0572 data_time: 0.0041 memory: 743 2022/08/11 14:17:40 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:04:07 time: 0.0595 data_time: 0.0058 memory: 743 2022/08/11 14:17:41 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:05:52 time: 0.0851 data_time: 0.0056 memory: 743 2022/08/11 14:17:42 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:03:50 time: 0.0560 data_time: 0.0058 memory: 738 2022/08/11 14:17:44 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:03:48 time: 0.0556 data_time: 0.0052 memory: 738 2022/08/11 14:17:45 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:03:52 time: 0.0568 data_time: 0.0046 memory: 738 2022/08/11 14:17:46 - mmengine - INFO - Epoch(val) [5][2220/6282] eta: 0:03:55 time: 0.0579 data_time: 0.0046 memory: 738 2022/08/11 14:17:47 - mmengine - INFO - Epoch(val) [5][2240/6282] eta: 0:03:42 time: 0.0550 data_time: 0.0049 memory: 738 2022/08/11 14:17:48 - mmengine - INFO - Epoch(val) [5][2260/6282] eta: 0:03:48 time: 0.0567 data_time: 0.0056 memory: 743 2022/08/11 14:17:49 - mmengine - INFO - Epoch(val) [5][2280/6282] eta: 0:03:37 time: 0.0544 data_time: 0.0047 memory: 743 2022/08/11 14:17:50 - mmengine - INFO - Epoch(val) [5][2300/6282] eta: 0:03:45 time: 0.0567 data_time: 0.0060 memory: 743 2022/08/11 14:17:51 - mmengine - INFO - Epoch(val) [5][2320/6282] eta: 0:03:49 time: 0.0579 data_time: 0.0050 memory: 743 2022/08/11 14:17:53 - mmengine - INFO - Epoch(val) [5][2340/6282] eta: 0:03:35 time: 0.0547 data_time: 0.0044 memory: 743 2022/08/11 14:17:54 - mmengine - INFO - Epoch(val) [5][2360/6282] eta: 0:03:45 time: 0.0574 data_time: 0.0057 memory: 738 2022/08/11 14:17:55 - mmengine - INFO - Epoch(val) [5][2380/6282] eta: 0:04:03 time: 0.0625 data_time: 0.0070 memory: 738 2022/08/11 14:17:56 - mmengine - INFO - Epoch(val) [5][2400/6282] eta: 0:04:05 time: 0.0633 data_time: 0.0065 memory: 738 2022/08/11 14:17:57 - mmengine - INFO - Epoch(val) [5][2420/6282] eta: 0:03:43 time: 0.0579 data_time: 0.0052 memory: 738 2022/08/11 14:17:59 - mmengine - INFO - Epoch(val) [5][2440/6282] eta: 0:03:40 time: 0.0574 data_time: 0.0044 memory: 738 2022/08/11 14:18:01 - mmengine - INFO - Epoch(val) [5][2460/6282] eta: 0:06:28 time: 0.1015 data_time: 0.0115 memory: 809 2022/08/11 14:18:02 - mmengine - INFO - Epoch(val) [5][2480/6282] eta: 0:05:05 time: 0.0802 data_time: 0.0145 memory: 809 2022/08/11 14:18:04 - mmengine - INFO - Epoch(val) [5][2500/6282] eta: 0:05:44 time: 0.0911 data_time: 0.0305 memory: 809 2022/08/11 14:18:06 - mmengine - INFO - Epoch(val) [5][2520/6282] eta: 0:05:18 time: 0.0848 data_time: 0.0263 memory: 809 2022/08/11 14:18:08 - mmengine - INFO - Epoch(val) [5][2540/6282] eta: 0:07:50 time: 0.1258 data_time: 0.0669 memory: 809 2022/08/11 14:18:11 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:09:18 time: 0.1500 data_time: 0.0839 memory: 809 2022/08/11 14:18:15 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:11:20 time: 0.1837 data_time: 0.1262 memory: 809 2022/08/11 14:18:18 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:08:33 time: 0.1395 data_time: 0.0790 memory: 809 2022/08/11 14:18:21 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:10:30 time: 0.1723 data_time: 0.0890 memory: 809 2022/08/11 14:18:24 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:09:05 time: 0.1499 data_time: 0.0870 memory: 809 2022/08/11 14:18:26 - mmengine - INFO - Epoch(val) [5][2660/6282] eta: 0:04:46 time: 0.0792 data_time: 0.0056 memory: 902 2022/08/11 14:18:27 - mmengine - INFO - Epoch(val) [5][2680/6282] eta: 0:04:46 time: 0.0795 data_time: 0.0070 memory: 902 2022/08/11 14:18:29 - mmengine - INFO - Epoch(val) [5][2700/6282] eta: 0:04:43 time: 0.0791 data_time: 0.0066 memory: 902 2022/08/11 14:18:31 - mmengine - INFO - Epoch(val) [5][2720/6282] eta: 0:05:01 time: 0.0846 data_time: 0.0069 memory: 902 2022/08/11 14:18:32 - mmengine - INFO - Epoch(val) [5][2740/6282] eta: 0:04:47 time: 0.0811 data_time: 0.0071 memory: 902 2022/08/11 14:18:33 - mmengine - INFO - Epoch(val) [5][2760/6282] eta: 0:03:19 time: 0.0566 data_time: 0.0057 memory: 743 2022/08/11 14:18:35 - mmengine - INFO - Epoch(val) [5][2780/6282] eta: 0:03:40 time: 0.0630 data_time: 0.0055 memory: 743 2022/08/11 14:18:36 - mmengine - INFO - Epoch(val) [5][2800/6282] eta: 0:03:36 time: 0.0621 data_time: 0.0062 memory: 743 2022/08/11 14:18:37 - mmengine - INFO - Epoch(val) [5][2820/6282] eta: 0:03:16 time: 0.0567 data_time: 0.0050 memory: 743 2022/08/11 14:18:38 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:03:22 time: 0.0590 data_time: 0.0047 memory: 743 2022/08/11 14:18:40 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:03:50 time: 0.0673 data_time: 0.0065 memory: 809 2022/08/11 14:18:41 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:04:43 time: 0.0834 data_time: 0.0051 memory: 809 2022/08/11 14:18:43 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:03:26 time: 0.0611 data_time: 0.0039 memory: 809 2022/08/11 14:18:44 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:03:02 time: 0.0543 data_time: 0.0039 memory: 809 2022/08/11 14:18:45 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:02:59 time: 0.0537 data_time: 0.0038 memory: 773 2022/08/11 14:18:46 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:03:04 time: 0.0557 data_time: 0.0049 memory: 773 2022/08/11 14:18:47 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:02:59 time: 0.0544 data_time: 0.0045 memory: 773 2022/08/11 14:18:48 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:02:52 time: 0.0525 data_time: 0.0044 memory: 773 2022/08/11 14:18:49 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:03:06 time: 0.0571 data_time: 0.0041 memory: 809 2022/08/11 14:18:50 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:03:11 time: 0.0592 data_time: 0.0043 memory: 809 2022/08/11 14:18:52 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:03:24 time: 0.0635 data_time: 0.0040 memory: 809 2022/08/11 14:18:53 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:03:33 time: 0.0668 data_time: 0.0054 memory: 809 2022/08/11 14:18:54 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:03:18 time: 0.0624 data_time: 0.0051 memory: 809 2022/08/11 14:18:55 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:02:59 time: 0.0569 data_time: 0.0053 memory: 743 2022/08/11 14:18:57 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:03:10 time: 0.0607 data_time: 0.0065 memory: 743 2022/08/11 14:18:58 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:03:16 time: 0.0629 data_time: 0.0047 memory: 743 2022/08/11 14:18:59 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:03:03 time: 0.0591 data_time: 0.0064 memory: 743 2022/08/11 14:19:01 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:04:56 time: 0.0960 data_time: 0.0054 memory: 809 2022/08/11 14:19:02 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:03:42 time: 0.0726 data_time: 0.0064 memory: 809 2022/08/11 14:19:04 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:03:39 time: 0.0721 data_time: 0.0073 memory: 809 2022/08/11 14:19:05 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:03:21 time: 0.0666 data_time: 0.0086 memory: 809 2022/08/11 14:19:06 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:03:09 time: 0.0632 data_time: 0.0042 memory: 809 2022/08/11 14:19:08 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:03:13 time: 0.0650 data_time: 0.0063 memory: 809 2022/08/11 14:19:09 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:03:05 time: 0.0626 data_time: 0.0049 memory: 809 2022/08/11 14:19:10 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:03:10 time: 0.0647 data_time: 0.0053 memory: 809 2022/08/11 14:19:12 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:03:14 time: 0.0667 data_time: 0.0057 memory: 809 2022/08/11 14:19:13 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:03:08 time: 0.0649 data_time: 0.0062 memory: 809 2022/08/11 14:19:14 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:02:33 time: 0.0531 data_time: 0.0053 memory: 738 2022/08/11 14:19:15 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:02:38 time: 0.0555 data_time: 0.0058 memory: 738 2022/08/11 14:19:16 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:02:25 time: 0.0510 data_time: 0.0041 memory: 738 2022/08/11 14:19:17 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:02:26 time: 0.0518 data_time: 0.0040 memory: 738 2022/08/11 14:19:18 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:02:23 time: 0.0513 data_time: 0.0041 memory: 738 2022/08/11 14:19:19 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:02:17 time: 0.0493 data_time: 0.0041 memory: 738 2022/08/11 14:19:21 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:03:20 time: 0.0727 data_time: 0.0048 memory: 738 2022/08/11 14:19:22 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:02:15 time: 0.0493 data_time: 0.0041 memory: 738 2022/08/11 14:19:23 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:02:19 time: 0.0511 data_time: 0.0042 memory: 738 2022/08/11 14:19:24 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:02:26 time: 0.0544 data_time: 0.0050 memory: 789 2022/08/11 14:19:25 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:02:28 time: 0.0552 data_time: 0.0044 memory: 789 2022/08/11 14:19:26 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:02:41 time: 0.0605 data_time: 0.0049 memory: 789 2022/08/11 14:19:27 - mmengine - INFO - Epoch(val) [5][3640/6282] eta: 0:02:56 time: 0.0670 data_time: 0.0068 memory: 789 2022/08/11 14:19:29 - mmengine - INFO - Epoch(val) [5][3660/6282] eta: 0:02:47 time: 0.0641 data_time: 0.0063 memory: 789 2022/08/11 14:19:30 - mmengine - INFO - Epoch(val) [5][3680/6282] eta: 0:03:00 time: 0.0693 data_time: 0.0074 memory: 809 2022/08/11 14:19:32 - mmengine - INFO - Epoch(val) [5][3700/6282] eta: 0:03:35 time: 0.0834 data_time: 0.0175 memory: 809 2022/08/11 14:19:34 - mmengine - INFO - Epoch(val) [5][3720/6282] eta: 0:03:57 time: 0.0928 data_time: 0.0291 memory: 809 2022/08/11 14:19:35 - mmengine - INFO - Epoch(val) [5][3740/6282] eta: 0:03:54 time: 0.0923 data_time: 0.0284 memory: 809 2022/08/11 14:19:37 - mmengine - INFO - Epoch(val) [5][3760/6282] eta: 0:03:55 time: 0.0934 data_time: 0.0101 memory: 809 2022/08/11 14:19:39 - mmengine - INFO - Epoch(val) [5][3780/6282] eta: 0:03:32 time: 0.0850 data_time: 0.0205 memory: 809 2022/08/11 14:19:41 - mmengine - INFO - Epoch(val) [5][3800/6282] eta: 0:04:25 time: 0.1069 data_time: 0.0428 memory: 809 2022/08/11 14:19:43 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:03:38 time: 0.0887 data_time: 0.0238 memory: 809 2022/08/11 14:19:47 - mmengine - INFO - Epoch(val) [5][3840/6282] eta: 0:08:20 time: 0.2050 data_time: 0.1221 memory: 809 2022/08/11 14:19:49 - mmengine - INFO - Epoch(val) [5][3860/6282] eta: 0:03:50 time: 0.0952 data_time: 0.0371 memory: 809 2022/08/11 14:19:51 - mmengine - INFO - Epoch(val) [5][3880/6282] eta: 0:03:20 time: 0.0835 data_time: 0.0238 memory: 809 2022/08/11 14:19:52 - mmengine - INFO - Epoch(val) [5][3900/6282] eta: 0:03:07 time: 0.0788 data_time: 0.0172 memory: 809 2022/08/11 14:19:54 - mmengine - INFO - Epoch(val) [5][3920/6282] eta: 0:03:13 time: 0.0821 data_time: 0.0213 memory: 809 2022/08/11 14:19:56 - mmengine - INFO - Epoch(val) [5][3940/6282] eta: 0:03:04 time: 0.0789 data_time: 0.0193 memory: 809 2022/08/11 14:19:57 - mmengine - INFO - Epoch(val) [5][3960/6282] eta: 0:02:50 time: 0.0734 data_time: 0.0135 memory: 809 2022/08/11 14:19:59 - mmengine - INFO - Epoch(val) [5][3980/6282] eta: 0:03:20 time: 0.0870 data_time: 0.0050 memory: 809 2022/08/11 14:20:00 - mmengine - INFO - Epoch(val) [5][4000/6282] eta: 0:02:17 time: 0.0602 data_time: 0.0046 memory: 809 2022/08/11 14:20:01 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:02:13 time: 0.0591 data_time: 0.0038 memory: 809 2022/08/11 14:20:02 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:02:15 time: 0.0604 data_time: 0.0037 memory: 902 2022/08/11 14:20:04 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:02:32 time: 0.0688 data_time: 0.0047 memory: 902 2022/08/11 14:20:05 - mmengine - INFO - Epoch(val) [5][4080/6282] eta: 0:02:32 time: 0.0693 data_time: 0.0046 memory: 902 2022/08/11 14:20:07 - mmengine - INFO - Epoch(val) [5][4100/6282] eta: 0:02:33 time: 0.0704 data_time: 0.0041 memory: 902 2022/08/11 14:20:08 - mmengine - INFO - Epoch(val) [5][4120/6282] eta: 0:02:47 time: 0.0774 data_time: 0.0061 memory: 902 2022/08/11 14:20:10 - mmengine - INFO - Epoch(val) [5][4140/6282] eta: 0:02:35 time: 0.0725 data_time: 0.0071 memory: 902 2022/08/11 14:20:11 - mmengine - INFO - Epoch(val) [5][4160/6282] eta: 0:02:50 time: 0.0804 data_time: 0.0053 memory: 738 2022/08/11 14:20:12 - mmengine - INFO - Epoch(val) [5][4180/6282] eta: 0:01:56 time: 0.0553 data_time: 0.0053 memory: 738 2022/08/11 14:20:13 - mmengine - INFO - Epoch(val) [5][4200/6282] eta: 0:01:56 time: 0.0561 data_time: 0.0052 memory: 738 2022/08/11 14:20:14 - mmengine - INFO - Epoch(val) [5][4220/6282] eta: 0:01:53 time: 0.0551 data_time: 0.0050 memory: 738 2022/08/11 14:20:16 - mmengine - INFO - Epoch(val) [5][4240/6282] eta: 0:01:52 time: 0.0553 data_time: 0.0054 memory: 738 2022/08/11 14:20:17 - mmengine - INFO - Epoch(val) [5][4260/6282] eta: 0:01:54 time: 0.0565 data_time: 0.0053 memory: 736 2022/08/11 14:20:18 - mmengine - INFO - Epoch(val) [5][4280/6282] eta: 0:01:54 time: 0.0570 data_time: 0.0063 memory: 736 2022/08/11 14:20:19 - mmengine - INFO - Epoch(val) [5][4300/6282] eta: 0:01:42 time: 0.0516 data_time: 0.0046 memory: 736 2022/08/11 14:20:20 - mmengine - INFO - Epoch(val) [5][4320/6282] eta: 0:01:42 time: 0.0520 data_time: 0.0043 memory: 736 2022/08/11 14:20:21 - mmengine - INFO - Epoch(val) [5][4340/6282] eta: 0:01:36 time: 0.0499 data_time: 0.0034 memory: 736 2022/08/11 14:20:22 - mmengine - INFO - Epoch(val) [5][4360/6282] eta: 0:01:51 time: 0.0582 data_time: 0.0039 memory: 809 2022/08/11 14:20:23 - mmengine - INFO - Epoch(val) [5][4380/6282] eta: 0:01:58 time: 0.0625 data_time: 0.0044 memory: 809 2022/08/11 14:20:25 - mmengine - INFO - Epoch(val) [5][4400/6282] eta: 0:01:57 time: 0.0623 data_time: 0.0052 memory: 809 2022/08/11 14:20:26 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:01:56 time: 0.0624 data_time: 0.0051 memory: 809 2022/08/11 14:20:27 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:01:55 time: 0.0628 data_time: 0.0053 memory: 816 2022/08/11 14:20:28 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:01:59 time: 0.0655 data_time: 0.0051 memory: 816 2022/08/11 14:20:30 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:01:56 time: 0.0648 data_time: 0.0063 memory: 816 2022/08/11 14:20:32 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:02:40 time: 0.0898 data_time: 0.0055 memory: 816 2022/08/11 14:20:33 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:01:54 time: 0.0652 data_time: 0.0052 memory: 816 2022/08/11 14:20:34 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:36 time: 0.0551 data_time: 0.0046 memory: 743 2022/08/11 14:20:35 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:37 time: 0.0564 data_time: 0.0041 memory: 743 2022/08/11 14:20:36 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:34 time: 0.0555 data_time: 0.0052 memory: 743 2022/08/11 14:20:37 - mmengine - INFO - Epoch(val) [5][4600/6282] eta: 0:01:30 time: 0.0540 data_time: 0.0048 memory: 743 2022/08/11 14:20:38 - mmengine - INFO - Epoch(val) [5][4620/6282] eta: 0:01:30 time: 0.0544 data_time: 0.0046 memory: 743 2022/08/11 14:20:40 - mmengine - INFO - Epoch(val) [5][4640/6282] eta: 0:01:47 time: 0.0655 data_time: 0.0055 memory: 816 2022/08/11 14:20:41 - mmengine - INFO - Epoch(val) [5][4660/6282] eta: 0:01:46 time: 0.0656 data_time: 0.0046 memory: 816 2022/08/11 14:20:42 - mmengine - INFO - Epoch(val) [5][4680/6282] eta: 0:01:40 time: 0.0629 data_time: 0.0042 memory: 816 2022/08/11 14:20:44 - mmengine - INFO - Epoch(val) [5][4700/6282] eta: 0:01:40 time: 0.0633 data_time: 0.0038 memory: 816 2022/08/11 14:20:45 - mmengine - INFO - Epoch(val) [5][4720/6282] eta: 0:01:32 time: 0.0590 data_time: 0.0038 memory: 816 2022/08/11 14:20:46 - mmengine - INFO - Epoch(val) [5][4740/6282] eta: 0:01:20 time: 0.0524 data_time: 0.0040 memory: 768 2022/08/11 14:20:47 - mmengine - INFO - Epoch(val) [5][4760/6282] eta: 0:01:25 time: 0.0563 data_time: 0.0041 memory: 768 2022/08/11 14:20:48 - mmengine - INFO - Epoch(val) [5][4780/6282] eta: 0:01:27 time: 0.0585 data_time: 0.0049 memory: 768 2022/08/11 14:20:49 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:25 time: 0.0578 data_time: 0.0055 memory: 768 2022/08/11 14:20:51 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:02:07 time: 0.0871 data_time: 0.0047 memory: 809 2022/08/11 14:20:52 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:33 time: 0.0650 data_time: 0.0058 memory: 809 2022/08/11 14:20:54 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:32 time: 0.0649 data_time: 0.0055 memory: 809 2022/08/11 14:20:55 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:01:28 time: 0.0630 data_time: 0.0056 memory: 809 2022/08/11 14:20:56 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:29 time: 0.0651 data_time: 0.0061 memory: 809 2022/08/11 14:20:57 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:25 time: 0.0625 data_time: 0.0041 memory: 811 2022/08/11 14:20:59 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:01:25 time: 0.0636 data_time: 0.0046 memory: 811 2022/08/11 14:21:00 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:24 time: 0.0641 data_time: 0.0052 memory: 811 2022/08/11 14:21:01 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:22 time: 0.0636 data_time: 0.0048 memory: 811 2022/08/11 14:21:03 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:01:30 time: 0.0707 data_time: 0.0056 memory: 811 2022/08/11 14:21:04 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:01:17 time: 0.0611 data_time: 0.0055 memory: 811 2022/08/11 14:21:05 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:01:09 time: 0.0562 data_time: 0.0059 memory: 743 2022/08/11 14:21:06 - mmengine - INFO - Epoch(val) [5][5060/6282] eta: 0:01:06 time: 0.0547 data_time: 0.0049 memory: 743 2022/08/11 14:21:07 - mmengine - INFO - Epoch(val) [5][5080/6282] eta: 0:01:05 time: 0.0544 data_time: 0.0040 memory: 743 2022/08/11 14:21:08 - mmengine - INFO - Epoch(val) [5][5100/6282] eta: 0:01:07 time: 0.0574 data_time: 0.0054 memory: 743 2022/08/11 14:21:10 - mmengine - INFO - Epoch(val) [5][5120/6282] eta: 0:01:07 time: 0.0582 data_time: 0.0059 memory: 743 2022/08/11 14:21:11 - mmengine - INFO - Epoch(val) [5][5140/6282] eta: 0:01:34 time: 0.0828 data_time: 0.0055 memory: 738 2022/08/11 14:21:12 - mmengine - INFO - Epoch(val) [5][5160/6282] eta: 0:01:01 time: 0.0549 data_time: 0.0050 memory: 738 2022/08/11 14:21:13 - mmengine - INFO - Epoch(val) [5][5180/6282] eta: 0:00:59 time: 0.0542 data_time: 0.0051 memory: 738 2022/08/11 14:21:15 - mmengine - INFO - Epoch(val) [5][5200/6282] eta: 0:01:00 time: 0.0556 data_time: 0.0046 memory: 738 2022/08/11 14:21:16 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:00:59 time: 0.0557 data_time: 0.0054 memory: 738 2022/08/11 14:21:17 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:00:57 time: 0.0550 data_time: 0.0049 memory: 736 2022/08/11 14:21:18 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:00:57 time: 0.0565 data_time: 0.0061 memory: 736 2022/08/11 14:21:19 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:00:56 time: 0.0565 data_time: 0.0036 memory: 736 2022/08/11 14:21:20 - mmengine - INFO - Epoch(val) [5][5300/6282] eta: 0:00:57 time: 0.0590 data_time: 0.0050 memory: 736 2022/08/11 14:21:21 - mmengine - INFO - Epoch(val) [5][5320/6282] eta: 0:00:54 time: 0.0567 data_time: 0.0055 memory: 738 2022/08/11 14:21:23 - mmengine - INFO - Epoch(val) [5][5340/6282] eta: 0:00:52 time: 0.0557 data_time: 0.0056 memory: 738 2022/08/11 14:21:24 - mmengine - INFO - Epoch(val) [5][5360/6282] eta: 0:00:51 time: 0.0564 data_time: 0.0051 memory: 738 2022/08/11 14:21:25 - mmengine - INFO - Epoch(val) [5][5380/6282] eta: 0:00:50 time: 0.0557 data_time: 0.0046 memory: 738 2022/08/11 14:21:26 - mmengine - INFO - Epoch(val) [5][5400/6282] eta: 0:00:48 time: 0.0546 data_time: 0.0045 memory: 738 2022/08/11 14:21:27 - mmengine - INFO - Epoch(val) [5][5420/6282] eta: 0:00:48 time: 0.0566 data_time: 0.0059 memory: 738 2022/08/11 14:21:28 - mmengine - INFO - Epoch(val) [5][5440/6282] eta: 0:00:45 time: 0.0545 data_time: 0.0055 memory: 738 2022/08/11 14:21:29 - mmengine - INFO - Epoch(val) [5][5460/6282] eta: 0:00:44 time: 0.0545 data_time: 0.0050 memory: 738 2022/08/11 14:21:31 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:01:00 time: 0.0759 data_time: 0.0051 memory: 738 2022/08/11 14:21:33 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:01:33 time: 0.1198 data_time: 0.0759 memory: 738 2022/08/11 14:21:35 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:54 time: 0.0711 data_time: 0.0248 memory: 763 2022/08/11 14:21:36 - mmengine - INFO - Epoch(val) [5][5540/6282] eta: 0:00:53 time: 0.0715 data_time: 0.0254 memory: 763 2022/08/11 14:21:37 - mmengine - INFO - Epoch(val) [5][5560/6282] eta: 0:00:35 time: 0.0493 data_time: 0.0029 memory: 763 2022/08/11 14:21:38 - mmengine - INFO - Epoch(val) [5][5580/6282] eta: 0:00:34 time: 0.0486 data_time: 0.0030 memory: 763 2022/08/11 14:21:39 - mmengine - INFO - Epoch(val) [5][5600/6282] eta: 0:00:37 time: 0.0546 data_time: 0.0042 memory: 763 2022/08/11 14:21:40 - mmengine - INFO - Epoch(val) [5][5620/6282] eta: 0:00:39 time: 0.0591 data_time: 0.0043 memory: 763 2022/08/11 14:21:41 - mmengine - INFO - Epoch(val) [5][5640/6282] eta: 0:00:35 time: 0.0557 data_time: 0.0051 memory: 738 2022/08/11 14:21:43 - mmengine - INFO - Epoch(val) [5][5660/6282] eta: 0:00:47 time: 0.0771 data_time: 0.0044 memory: 738 2022/08/11 14:21:44 - mmengine - INFO - Epoch(val) [5][5680/6282] eta: 0:00:31 time: 0.0516 data_time: 0.0051 memory: 738 2022/08/11 14:21:45 - mmengine - INFO - Epoch(val) [5][5700/6282] eta: 0:00:29 time: 0.0500 data_time: 0.0040 memory: 738 2022/08/11 14:21:46 - mmengine - INFO - Epoch(val) [5][5720/6282] eta: 0:00:28 time: 0.0514 data_time: 0.0040 memory: 780 2022/08/11 14:21:47 - mmengine - INFO - Epoch(val) [5][5740/6282] eta: 0:00:29 time: 0.0543 data_time: 0.0043 memory: 780 2022/08/11 14:21:48 - mmengine - INFO - Epoch(val) [5][5760/6282] eta: 0:00:28 time: 0.0551 data_time: 0.0045 memory: 780 2022/08/11 14:21:49 - mmengine - INFO - Epoch(val) [5][5780/6282] eta: 0:00:29 time: 0.0580 data_time: 0.0054 memory: 780 2022/08/11 14:21:51 - mmengine - INFO - Epoch(val) [5][5800/6282] eta: 0:00:30 time: 0.0623 data_time: 0.0059 memory: 780 2022/08/11 14:21:52 - mmengine - INFO - Epoch(val) [5][5820/6282] eta: 0:00:27 time: 0.0600 data_time: 0.0054 memory: 780 2022/08/11 14:21:53 - mmengine - INFO - Epoch(val) [5][5840/6282] eta: 0:00:26 time: 0.0595 data_time: 0.0073 memory: 763 2022/08/11 14:21:54 - mmengine - INFO - Epoch(val) [5][5860/6282] eta: 0:00:25 time: 0.0612 data_time: 0.0063 memory: 763 2022/08/11 14:21:55 - mmengine - INFO - Epoch(val) [5][5880/6282] eta: 0:00:24 time: 0.0604 data_time: 0.0061 memory: 763 2022/08/11 14:21:57 - mmengine - INFO - Epoch(val) [5][5900/6282] eta: 0:00:22 time: 0.0586 data_time: 0.0054 memory: 763 2022/08/11 14:21:58 - mmengine - INFO - Epoch(val) [5][5920/6282] eta: 0:00:20 time: 0.0554 data_time: 0.0043 memory: 763 2022/08/11 14:21:59 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:20 time: 0.0585 data_time: 0.0045 memory: 738 2022/08/11 14:22:00 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:17 time: 0.0540 data_time: 0.0041 memory: 738 2022/08/11 14:22:01 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:16 time: 0.0550 data_time: 0.0051 memory: 738 2022/08/11 14:22:02 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:17 time: 0.0628 data_time: 0.0053 memory: 809 2022/08/11 14:22:04 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:17 time: 0.0659 data_time: 0.0056 memory: 809 2022/08/11 14:22:05 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:18 time: 0.0750 data_time: 0.0057 memory: 809 2022/08/11 14:22:07 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:15 time: 0.0685 data_time: 0.0076 memory: 809 2022/08/11 14:22:08 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:15 time: 0.0747 data_time: 0.0087 memory: 809 2022/08/11 14:22:09 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:12 time: 0.0708 data_time: 0.0087 memory: 809 2022/08/11 14:22:11 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:15 time: 0.0942 data_time: 0.0307 memory: 809 2022/08/11 14:22:13 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:13 time: 0.0934 data_time: 0.0313 memory: 809 2022/08/11 14:22:15 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:09 time: 0.0750 data_time: 0.0156 memory: 809 2022/08/11 14:22:16 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:08 time: 0.0799 data_time: 0.0099 memory: 809 2022/08/11 14:22:18 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:04 time: 0.0574 data_time: 0.0033 memory: 809 2022/08/11 14:22:19 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:03 time: 0.0575 data_time: 0.0039 memory: 809 2022/08/11 14:22:20 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:02 time: 0.0557 data_time: 0.0032 memory: 809 2022/08/11 14:22:21 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:01 time: 0.0547 data_time: 0.0039 memory: 809 2022/08/11 14:22:22 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0528 data_time: 0.0027 memory: 809 2022/08/11 14:27:38 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.2623 2022/08/11 14:27:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_5.pth is removed 2022/08/11 14:27:42 - mmengine - INFO - The best checkpoint with 0.2623 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2022/08/11 14:27:53 - mmengine - INFO - Epoch(train) [6][20/3842] lr: 5.1783e-02 eta: 2:49:05 time: 0.5626 data_time: 0.0665 memory: 10484 grad_norm: 0.2276 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.6508 recall@top3: 0.5952 prec@top3: 0.5079 recall@top5: 0.8214 prec@top5: 0.4095 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 14:28:03 - mmengine - INFO - Epoch(train) [6][40/3842] lr: 5.1712e-02 eta: 2:48:54 time: 0.4895 data_time: 0.0191 memory: 10484 grad_norm: 0.2377 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.8030 recall@top3: 0.8485 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.4727 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 14:28:13 - mmengine - INFO - Epoch(train) [6][60/3842] lr: 5.1641e-02 eta: 2:48:43 time: 0.5166 data_time: 0.0186 memory: 10484 grad_norm: 0.2267 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.6771 recall@top3: 0.7865 prec@top3: 0.5833 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0536 loss: 0.0536 2022/08/11 14:28:23 - mmengine - INFO - Epoch(train) [6][80/3842] lr: 5.1570e-02 eta: 2:48:32 time: 0.5082 data_time: 0.0206 memory: 10484 grad_norm: 0.2387 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7500 recall@top3: 0.7857 prec@top3: 0.6190 recall@top5: 0.7857 prec@top5: 0.3714 loss_action_cls: 0.0641 loss: 0.0641 2022/08/11 14:28:34 - mmengine - INFO - Epoch(train) [6][100/3842] lr: 5.1499e-02 eta: 2:48:21 time: 0.5154 data_time: 0.0188 memory: 10484 grad_norm: 0.2256 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7500 recall@top3: 0.9405 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.3857 loss_action_cls: 0.0590 loss: 0.0590 2022/08/11 14:28:43 - mmengine - INFO - Epoch(train) [6][120/3842] lr: 5.1428e-02 eta: 2:48:10 time: 0.4901 data_time: 0.0177 memory: 10484 grad_norm: 0.2363 recall@thr=0.5: 0.8556 prec@thr=0.5: 0.9556 recall@top3: 0.8889 prec@top3: 0.8222 recall@top5: 0.9667 prec@top5: 0.5467 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 14:28:54 - mmengine - INFO - Epoch(train) [6][140/3842] lr: 5.1357e-02 eta: 2:47:59 time: 0.5115 data_time: 0.0159 memory: 10484 grad_norm: 0.2346 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.8158 recall@top3: 0.8596 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0598 loss: 0.0598 2022/08/11 14:29:04 - mmengine - INFO - Epoch(train) [6][160/3842] lr: 5.1286e-02 eta: 2:47:48 time: 0.5040 data_time: 0.0234 memory: 10484 grad_norm: 0.2315 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.5370 recall@top3: 0.7160 prec@top3: 0.4444 recall@top5: 0.9259 prec@top5: 0.3333 loss_action_cls: 0.0593 loss: 0.0593 2022/08/11 14:29:14 - mmengine - INFO - Epoch(train) [6][180/3842] lr: 5.1214e-02 eta: 2:47:37 time: 0.5120 data_time: 0.0141 memory: 10484 grad_norm: 0.2458 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7361 recall@top3: 0.6597 prec@top3: 0.5694 recall@top5: 0.8403 prec@top5: 0.4167 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 14:29:24 - mmengine - INFO - Epoch(train) [6][200/3842] lr: 5.1143e-02 eta: 2:47:26 time: 0.5073 data_time: 0.0183 memory: 10484 grad_norm: 0.2430 recall@thr=0.5: 0.8549 prec@thr=0.5: 0.8971 recall@top3: 0.8843 prec@top3: 0.7255 recall@top5: 0.9608 prec@top5: 0.5059 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 14:29:34 - mmengine - INFO - Epoch(train) [6][220/3842] lr: 5.1072e-02 eta: 2:47:15 time: 0.5047 data_time: 0.0213 memory: 10484 grad_norm: 0.2364 recall@thr=0.5: 0.6685 prec@thr=0.5: 0.8593 recall@top3: 0.7796 prec@top3: 0.7407 recall@top5: 0.9111 prec@top5: 0.5333 loss_action_cls: 0.0620 loss: 0.0620 2022/08/11 14:29:44 - mmengine - INFO - Epoch(train) [6][240/3842] lr: 5.1000e-02 eta: 2:47:04 time: 0.4932 data_time: 0.0177 memory: 10484 grad_norm: 0.2397 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.7824 recall@top3: 0.7259 prec@top3: 0.6852 recall@top5: 0.9287 prec@top5: 0.5556 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 14:29:54 - mmengine - INFO - Epoch(train) [6][260/3842] lr: 5.0929e-02 eta: 2:46:53 time: 0.5132 data_time: 0.0137 memory: 10484 grad_norm: 0.2368 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8889 recall@top3: 0.8778 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 14:30:05 - mmengine - INFO - Epoch(train) [6][280/3842] lr: 5.0857e-02 eta: 2:46:42 time: 0.5284 data_time: 0.0170 memory: 10484 grad_norm: 0.2424 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7500 recall@top3: 0.7346 prec@top3: 0.4444 recall@top5: 0.8642 prec@top5: 0.3259 loss_action_cls: 0.0628 loss: 0.0628 2022/08/11 14:30:15 - mmengine - INFO - Epoch(train) [6][300/3842] lr: 5.0785e-02 eta: 2:46:31 time: 0.4966 data_time: 0.0277 memory: 10484 grad_norm: 0.2377 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8646 recall@top3: 0.8021 prec@top3: 0.7708 recall@top5: 0.9271 prec@top5: 0.5500 loss_action_cls: 0.0586 loss: 0.0586 2022/08/11 14:30:25 - mmengine - INFO - Epoch(train) [6][320/3842] lr: 5.0714e-02 eta: 2:46:20 time: 0.5108 data_time: 0.0157 memory: 10484 grad_norm: 0.2521 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7857 recall@top3: 0.8214 prec@top3: 0.8095 recall@top5: 0.9286 prec@top5: 0.5571 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 14:30:35 - mmengine - INFO - Epoch(train) [6][340/3842] lr: 5.0642e-02 eta: 2:46:09 time: 0.4941 data_time: 0.0186 memory: 10484 grad_norm: 0.2416 recall@thr=0.5: 0.6588 prec@thr=0.5: 0.7982 recall@top3: 0.6965 prec@top3: 0.7368 recall@top5: 0.8316 prec@top5: 0.5368 loss_action_cls: 0.0545 loss: 0.0545 2022/08/11 14:30:46 - mmengine - INFO - Epoch(train) [6][360/3842] lr: 5.0570e-02 eta: 2:45:58 time: 0.5284 data_time: 0.0159 memory: 10484 grad_norm: 0.2295 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.8333 recall@top3: 0.6510 prec@top3: 0.6250 recall@top5: 0.8594 prec@top5: 0.5000 loss_action_cls: 0.0540 loss: 0.0540 2022/08/11 14:30:55 - mmengine - INFO - Epoch(train) [6][380/3842] lr: 5.0498e-02 eta: 2:45:47 time: 0.4900 data_time: 0.0172 memory: 10484 grad_norm: 0.2459 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8056 recall@top3: 0.7639 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4833 loss_action_cls: 0.0598 loss: 0.0598 2022/08/11 14:31:06 - mmengine - INFO - Epoch(train) [6][400/3842] lr: 5.0426e-02 eta: 2:45:36 time: 0.5109 data_time: 0.0163 memory: 10484 grad_norm: 0.2330 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7500 recall@top3: 0.8214 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4429 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 14:31:15 - mmengine - INFO - Epoch(train) [6][420/3842] lr: 5.0354e-02 eta: 2:45:25 time: 0.4918 data_time: 0.0174 memory: 10484 grad_norm: 0.2352 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.7206 recall@top3: 0.7402 prec@top3: 0.5882 recall@top5: 0.9265 prec@top5: 0.4706 loss_action_cls: 0.0637 loss: 0.0637 2022/08/11 14:31:26 - mmengine - INFO - Epoch(train) [6][440/3842] lr: 5.0282e-02 eta: 2:45:14 time: 0.5105 data_time: 0.0163 memory: 10484 grad_norm: 0.2334 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9375 recall@top3: 0.8750 prec@top3: 0.8333 recall@top5: 0.9688 prec@top5: 0.5625 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 14:31:35 - mmengine - INFO - Epoch(train) [6][460/3842] lr: 5.0210e-02 eta: 2:45:03 time: 0.4929 data_time: 0.0203 memory: 10484 grad_norm: 0.2255 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.8095 recall@top3: 0.8393 prec@top3: 0.8571 recall@top5: 0.9821 prec@top5: 0.6143 loss_action_cls: 0.0574 loss: 0.0574 2022/08/11 14:31:46 - mmengine - INFO - Epoch(train) [6][480/3842] lr: 5.0138e-02 eta: 2:44:52 time: 0.5160 data_time: 0.0186 memory: 10484 grad_norm: 0.2298 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.6806 recall@top3: 0.6667 prec@top3: 0.6481 recall@top5: 0.8889 prec@top5: 0.5000 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 14:31:56 - mmengine - INFO - Epoch(train) [6][500/3842] lr: 5.0066e-02 eta: 2:44:40 time: 0.4887 data_time: 0.0170 memory: 10484 grad_norm: 0.2420 recall@thr=0.5: 0.4935 prec@thr=0.5: 0.7130 recall@top3: 0.6917 prec@top3: 0.6111 recall@top5: 0.8537 prec@top5: 0.4556 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 14:32:06 - mmengine - INFO - Epoch(train) [6][520/3842] lr: 4.9993e-02 eta: 2:44:30 time: 0.5289 data_time: 0.0162 memory: 10484 grad_norm: 0.2380 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7778 recall@top3: 0.7917 prec@top3: 0.5278 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0589 loss: 0.0589 2022/08/11 14:32:16 - mmengine - INFO - Epoch(train) [6][540/3842] lr: 4.9921e-02 eta: 2:44:19 time: 0.4895 data_time: 0.0174 memory: 10484 grad_norm: 0.2389 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.7895 recall@top3: 0.9123 prec@top3: 0.6140 recall@top5: 0.9123 prec@top5: 0.3684 loss_action_cls: 0.0589 loss: 0.0589 2022/08/11 14:32:26 - mmengine - INFO - Epoch(train) [6][560/3842] lr: 4.9849e-02 eta: 2:44:08 time: 0.5108 data_time: 0.0160 memory: 10484 grad_norm: 0.2298 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.8571 recall@top3: 0.8155 prec@top3: 0.6667 recall@top5: 0.9405 prec@top5: 0.4857 loss_action_cls: 0.0546 loss: 0.0546 2022/08/11 14:32:36 - mmengine - INFO - Epoch(train) [6][580/3842] lr: 4.9776e-02 eta: 2:43:57 time: 0.4926 data_time: 0.0183 memory: 10484 grad_norm: 0.2459 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.8512 recall@top3: 0.8155 prec@top3: 0.6667 recall@top5: 0.9643 prec@top5: 0.4714 loss_action_cls: 0.0565 loss: 0.0565 2022/08/11 14:32:46 - mmengine - INFO - Epoch(train) [6][600/3842] lr: 4.9704e-02 eta: 2:43:45 time: 0.5023 data_time: 0.0161 memory: 10484 grad_norm: 0.2341 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8000 recall@top3: 0.7944 prec@top3: 0.7111 recall@top5: 0.9111 prec@top5: 0.5067 loss_action_cls: 0.0647 loss: 0.0647 2022/08/11 14:32:56 - mmengine - INFO - Epoch(train) [6][620/3842] lr: 4.9631e-02 eta: 2:43:34 time: 0.4912 data_time: 0.0174 memory: 10484 grad_norm: 0.2343 recall@thr=0.5: 0.5954 prec@thr=0.5: 0.7546 recall@top3: 0.6833 prec@top3: 0.6852 recall@top5: 0.8630 prec@top5: 0.5333 loss_action_cls: 0.0626 loss: 0.0626 2022/08/11 14:33:08 - mmengine - INFO - Epoch(train) [6][640/3842] lr: 4.9559e-02 eta: 2:43:25 time: 0.5866 data_time: 0.0158 memory: 10484 grad_norm: 0.2360 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8500 recall@top3: 0.8542 prec@top3: 0.8167 recall@top5: 0.9708 prec@top5: 0.5800 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 14:33:18 - mmengine - INFO - Epoch(train) [6][660/3842] lr: 4.9486e-02 eta: 2:43:14 time: 0.5290 data_time: 0.0236 memory: 10484 grad_norm: 0.2466 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7179 recall@top3: 0.9103 prec@top3: 0.5128 recall@top5: 1.0000 prec@top5: 0.3538 loss_action_cls: 0.0597 loss: 0.0597 2022/08/11 14:33:29 - mmengine - INFO - Epoch(train) [6][680/3842] lr: 4.9414e-02 eta: 2:43:04 time: 0.5231 data_time: 0.0179 memory: 10484 grad_norm: 0.2409 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7917 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0578 loss: 0.0578 2022/08/11 14:33:39 - mmengine - INFO - Epoch(train) [6][700/3842] lr: 4.9341e-02 eta: 2:42:52 time: 0.4966 data_time: 0.0176 memory: 10484 grad_norm: 0.2510 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8056 recall@top3: 0.7639 prec@top3: 0.6944 recall@top5: 0.8750 prec@top5: 0.4667 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 14:33:49 - mmengine - INFO - Epoch(train) [6][720/3842] lr: 4.9268e-02 eta: 2:42:41 time: 0.5056 data_time: 0.0129 memory: 10484 grad_norm: 0.2387 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6019 recall@top3: 0.7315 prec@top3: 0.5741 recall@top5: 0.9074 prec@top5: 0.4444 loss_action_cls: 0.0651 loss: 0.0651 2022/08/11 14:34:00 - mmengine - INFO - Epoch(train) [6][740/3842] lr: 4.9195e-02 eta: 2:42:32 time: 0.5734 data_time: 0.0167 memory: 10484 grad_norm: 0.2287 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6333 recall@top3: 0.7167 prec@top3: 0.4167 recall@top5: 0.8500 prec@top5: 0.3000 loss_action_cls: 0.0580 loss: 0.0580 2022/08/11 14:34:11 - mmengine - INFO - Epoch(train) [6][760/3842] lr: 4.9122e-02 eta: 2:42:21 time: 0.5388 data_time: 0.0179 memory: 10484 grad_norm: 0.2430 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8393 recall@top3: 0.8214 prec@top3: 0.8095 recall@top5: 0.9643 prec@top5: 0.5857 loss_action_cls: 0.0528 loss: 0.0528 2022/08/11 14:34:21 - mmengine - INFO - Epoch(train) [6][780/3842] lr: 4.9049e-02 eta: 2:42:10 time: 0.4948 data_time: 0.0214 memory: 10484 grad_norm: 0.2372 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6944 recall@top3: 0.7500 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0617 loss: 0.0617 2022/08/11 14:34:26 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 14:34:31 - mmengine - INFO - Epoch(train) [6][800/3842] lr: 4.8977e-02 eta: 2:41:59 time: 0.5197 data_time: 0.0142 memory: 10484 grad_norm: 0.2365 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7344 recall@top3: 0.8125 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0626 loss: 0.0626 2022/08/11 14:34:41 - mmengine - INFO - Epoch(train) [6][820/3842] lr: 4.8904e-02 eta: 2:41:48 time: 0.4969 data_time: 0.0228 memory: 10484 grad_norm: 0.2342 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9127 recall@top3: 0.8373 prec@top3: 0.8095 recall@top5: 0.9246 prec@top5: 0.5429 loss_action_cls: 0.0525 loss: 0.0525 2022/08/11 14:34:52 - mmengine - INFO - Epoch(train) [6][840/3842] lr: 4.8830e-02 eta: 2:41:38 time: 0.5188 data_time: 0.0156 memory: 10484 grad_norm: 0.2411 recall@thr=0.5: 0.8556 prec@thr=0.5: 0.9000 recall@top3: 0.9667 prec@top3: 0.8222 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0512 loss: 0.0512 2022/08/11 14:35:02 - mmengine - INFO - Epoch(train) [6][860/3842] lr: 4.8757e-02 eta: 2:41:27 time: 0.5234 data_time: 0.0172 memory: 10484 grad_norm: 0.2420 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.7719 recall@top3: 0.8070 prec@top3: 0.6140 recall@top5: 0.8991 prec@top5: 0.4211 loss_action_cls: 0.0552 loss: 0.0552 2022/08/11 14:35:13 - mmengine - INFO - Epoch(train) [6][880/3842] lr: 4.8684e-02 eta: 2:41:17 time: 0.5322 data_time: 0.0172 memory: 10484 grad_norm: 0.2378 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.8462 recall@top3: 0.7821 prec@top3: 0.7436 recall@top5: 0.9359 prec@top5: 0.5385 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 14:35:23 - mmengine - INFO - Epoch(train) [6][900/3842] lr: 4.8611e-02 eta: 2:41:05 time: 0.4965 data_time: 0.0164 memory: 10484 grad_norm: 0.2345 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7500 recall@top3: 0.8611 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0499 loss: 0.0499 2022/08/11 14:35:33 - mmengine - INFO - Epoch(train) [6][920/3842] lr: 4.8538e-02 eta: 2:40:55 time: 0.5186 data_time: 0.0208 memory: 10484 grad_norm: 0.2473 recall@thr=0.5: 0.8244 prec@thr=0.5: 0.8333 recall@top3: 0.8869 prec@top3: 0.7619 recall@top5: 0.9375 prec@top5: 0.4929 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 14:35:43 - mmengine - INFO - Epoch(train) [6][940/3842] lr: 4.8465e-02 eta: 2:40:43 time: 0.4903 data_time: 0.0162 memory: 10484 grad_norm: 0.2378 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8437 recall@top3: 0.8958 prec@top3: 0.7917 recall@top5: 0.9375 prec@top5: 0.5000 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 14:35:53 - mmengine - INFO - Epoch(train) [6][960/3842] lr: 4.8391e-02 eta: 2:40:32 time: 0.5067 data_time: 0.0158 memory: 10484 grad_norm: 0.2413 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8583 recall@top3: 0.7750 prec@top3: 0.7500 recall@top5: 0.9333 prec@top5: 0.5500 loss_action_cls: 0.0604 loss: 0.0604 2022/08/11 14:36:03 - mmengine - INFO - Epoch(train) [6][980/3842] lr: 4.8318e-02 eta: 2:40:21 time: 0.5007 data_time: 0.0177 memory: 10484 grad_norm: 0.2361 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.6842 recall@top3: 0.8044 prec@top3: 0.7018 recall@top5: 0.8912 prec@top5: 0.4842 loss_action_cls: 0.0583 loss: 0.0583 2022/08/11 14:36:13 - mmengine - INFO - Epoch(train) [6][1000/3842] lr: 4.8244e-02 eta: 2:40:11 time: 0.5251 data_time: 0.0169 memory: 10484 grad_norm: 0.2405 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7083 recall@top3: 0.6562 prec@top3: 0.6250 recall@top5: 0.8802 prec@top5: 0.5125 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 14:36:23 - mmengine - INFO - Epoch(train) [6][1020/3842] lr: 4.8171e-02 eta: 2:40:00 time: 0.4881 data_time: 0.0168 memory: 10484 grad_norm: 0.2420 recall@thr=0.5: 0.8196 prec@thr=0.5: 0.9348 recall@top3: 0.8493 prec@top3: 0.8551 recall@top5: 0.9826 prec@top5: 0.6174 loss_action_cls: 0.0591 loss: 0.0591 2022/08/11 14:36:34 - mmengine - INFO - Epoch(train) [6][1040/3842] lr: 4.8097e-02 eta: 2:39:49 time: 0.5290 data_time: 0.0157 memory: 10484 grad_norm: 0.2368 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8333 recall@top3: 0.8594 prec@top3: 0.6667 recall@top5: 0.9531 prec@top5: 0.4625 loss_action_cls: 0.0614 loss: 0.0614 2022/08/11 14:36:44 - mmengine - INFO - Epoch(train) [6][1060/3842] lr: 4.8024e-02 eta: 2:39:38 time: 0.4909 data_time: 0.0174 memory: 10484 grad_norm: 0.2474 recall@thr=0.5: 0.8567 prec@thr=0.5: 0.9900 recall@top3: 0.9258 prec@top3: 0.8167 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 14:36:54 - mmengine - INFO - Epoch(train) [6][1080/3842] lr: 4.7950e-02 eta: 2:39:27 time: 0.5119 data_time: 0.0149 memory: 10484 grad_norm: 0.2330 recall@thr=0.5: 0.9022 prec@thr=0.5: 0.8261 recall@top3: 0.8986 prec@top3: 0.7391 recall@top5: 0.9565 prec@top5: 0.4783 loss_action_cls: 0.0581 loss: 0.0581 2022/08/11 14:37:04 - mmengine - INFO - Epoch(train) [6][1100/3842] lr: 4.7877e-02 eta: 2:39:16 time: 0.4897 data_time: 0.0185 memory: 10484 grad_norm: 0.2384 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7302 recall@top3: 0.6571 prec@top3: 0.6032 recall@top5: 0.8619 prec@top5: 0.4857 loss_action_cls: 0.0577 loss: 0.0577 2022/08/11 14:37:14 - mmengine - INFO - Epoch(train) [6][1120/3842] lr: 4.7803e-02 eta: 2:39:05 time: 0.5124 data_time: 0.0166 memory: 10484 grad_norm: 0.2516 recall@thr=0.5: 0.5486 prec@thr=0.5: 0.6250 recall@top3: 0.6528 prec@top3: 0.5000 recall@top5: 0.9583 prec@top5: 0.4167 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 14:37:24 - mmengine - INFO - Epoch(train) [6][1140/3842] lr: 4.7729e-02 eta: 2:38:54 time: 0.4897 data_time: 0.0179 memory: 10484 grad_norm: 0.2375 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.5588 recall@top3: 0.5931 prec@top3: 0.5490 recall@top5: 0.7500 prec@top5: 0.4353 loss_action_cls: 0.0570 loss: 0.0570 2022/08/11 14:37:34 - mmengine - INFO - Epoch(train) [6][1160/3842] lr: 4.7655e-02 eta: 2:38:43 time: 0.5124 data_time: 0.0146 memory: 10484 grad_norm: 0.2397 recall@thr=0.5: 0.8984 prec@thr=0.5: 0.9048 recall@top3: 0.9111 prec@top3: 0.6825 recall@top5: 0.9492 prec@top5: 0.4476 loss_action_cls: 0.0509 loss: 0.0509 2022/08/11 14:37:44 - mmengine - INFO - Epoch(train) [6][1180/3842] lr: 4.7582e-02 eta: 2:38:32 time: 0.4937 data_time: 0.0181 memory: 10484 grad_norm: 0.2345 recall@thr=0.5: 0.6981 prec@thr=0.5: 0.7404 recall@top3: 0.8115 prec@top3: 0.8333 recall@top5: 0.9538 prec@top5: 0.5923 loss_action_cls: 0.0627 loss: 0.0627 2022/08/11 14:37:54 - mmengine - INFO - Epoch(train) [6][1200/3842] lr: 4.7508e-02 eta: 2:38:21 time: 0.5186 data_time: 0.0156 memory: 10484 grad_norm: 0.2419 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7833 recall@top3: 0.8500 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5200 loss_action_cls: 0.0617 loss: 0.0617 2022/08/11 14:38:04 - mmengine - INFO - Epoch(train) [6][1220/3842] lr: 4.7434e-02 eta: 2:38:10 time: 0.4941 data_time: 0.0199 memory: 10484 grad_norm: 0.2397 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.7259 recall@top3: 0.8148 prec@top3: 0.6296 recall@top5: 0.8611 prec@top5: 0.4111 loss_action_cls: 0.0616 loss: 0.0616 2022/08/11 14:38:14 - mmengine - INFO - Epoch(train) [6][1240/3842] lr: 4.7360e-02 eta: 2:37:59 time: 0.5103 data_time: 0.0183 memory: 10484 grad_norm: 0.2447 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7273 recall@top3: 0.7348 prec@top3: 0.5909 recall@top5: 0.8712 prec@top5: 0.4364 loss_action_cls: 0.0603 loss: 0.0603 2022/08/11 14:38:24 - mmengine - INFO - Epoch(train) [6][1260/3842] lr: 4.7286e-02 eta: 2:37:48 time: 0.4887 data_time: 0.0170 memory: 10484 grad_norm: 0.2488 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6528 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3833 loss_action_cls: 0.0607 loss: 0.0607 2022/08/11 14:38:34 - mmengine - INFO - Epoch(train) [6][1280/3842] lr: 4.7212e-02 eta: 2:37:37 time: 0.5226 data_time: 0.0162 memory: 10484 grad_norm: 0.2455 recall@thr=0.5: 0.4514 prec@thr=0.5: 0.7917 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0585 loss: 0.0585 2022/08/11 14:38:45 - mmengine - INFO - Epoch(train) [6][1300/3842] lr: 4.7138e-02 eta: 2:37:26 time: 0.5135 data_time: 0.0181 memory: 10484 grad_norm: 0.2405 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9444 recall@top3: 0.8056 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.5667 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 14:38:55 - mmengine - INFO - Epoch(train) [6][1320/3842] lr: 4.7064e-02 eta: 2:37:16 time: 0.5147 data_time: 0.0184 memory: 10484 grad_norm: 0.2309 recall@thr=0.5: 0.8539 prec@thr=0.5: 0.9853 recall@top3: 0.8990 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.5647 loss_action_cls: 0.0546 loss: 0.0546 2022/08/11 14:39:05 - mmengine - INFO - Epoch(train) [6][1340/3842] lr: 4.6990e-02 eta: 2:37:04 time: 0.4942 data_time: 0.0184 memory: 10484 grad_norm: 0.2461 recall@thr=0.5: 0.6929 prec@thr=0.5: 0.7857 recall@top3: 0.7929 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.5000 loss_action_cls: 0.0632 loss: 0.0632 2022/08/11 14:39:15 - mmengine - INFO - Epoch(train) [6][1360/3842] lr: 4.6915e-02 eta: 2:36:54 time: 0.5269 data_time: 0.0168 memory: 10484 grad_norm: 0.2302 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9687 recall@top3: 0.9688 prec@top3: 0.7292 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 14:39:25 - mmengine - INFO - Epoch(train) [6][1380/3842] lr: 4.6841e-02 eta: 2:36:43 time: 0.4892 data_time: 0.0189 memory: 10484 grad_norm: 0.2433 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7448 recall@top3: 0.8229 prec@top3: 0.6667 recall@top5: 0.8854 prec@top5: 0.4375 loss_action_cls: 0.0553 loss: 0.0553 2022/08/11 14:39:36 - mmengine - INFO - Epoch(train) [6][1400/3842] lr: 4.6767e-02 eta: 2:36:32 time: 0.5189 data_time: 0.0150 memory: 10484 grad_norm: 0.2385 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.7857 recall@top3: 0.8929 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0517 loss: 0.0517 2022/08/11 14:39:45 - mmengine - INFO - Epoch(train) [6][1420/3842] lr: 4.6693e-02 eta: 2:36:21 time: 0.4901 data_time: 0.0171 memory: 10484 grad_norm: 0.2370 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7222 recall@top3: 0.7778 prec@top3: 0.5278 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0594 loss: 0.0594 2022/08/11 14:39:56 - mmengine - INFO - Epoch(train) [6][1440/3842] lr: 4.6618e-02 eta: 2:36:10 time: 0.5327 data_time: 0.0162 memory: 10484 grad_norm: 0.2378 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.9231 recall@top3: 0.8333 prec@top3: 0.5385 recall@top5: 1.0000 prec@top5: 0.3846 loss_action_cls: 0.0509 loss: 0.0509 2022/08/11 14:40:06 - mmengine - INFO - Epoch(train) [6][1460/3842] lr: 4.6544e-02 eta: 2:35:59 time: 0.4888 data_time: 0.0185 memory: 10484 grad_norm: 0.2388 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7255 recall@top3: 0.7941 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.5059 loss_action_cls: 0.0606 loss: 0.0606 2022/08/11 14:40:16 - mmengine - INFO - Epoch(train) [6][1480/3842] lr: 4.6469e-02 eta: 2:35:48 time: 0.5124 data_time: 0.0169 memory: 10484 grad_norm: 0.2408 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8810 recall@top3: 0.7774 prec@top3: 0.7857 recall@top5: 0.9429 prec@top5: 0.6000 loss_action_cls: 0.0532 loss: 0.0532 2022/08/11 14:40:26 - mmengine - INFO - Epoch(train) [6][1500/3842] lr: 4.6395e-02 eta: 2:35:37 time: 0.4914 data_time: 0.0195 memory: 10484 grad_norm: 0.2628 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8000 recall@top3: 0.7778 prec@top3: 0.6889 recall@top5: 0.9167 prec@top5: 0.5067 loss_action_cls: 0.0549 loss: 0.0549 2022/08/11 14:40:36 - mmengine - INFO - Epoch(train) [6][1520/3842] lr: 4.6321e-02 eta: 2:35:26 time: 0.5126 data_time: 0.0151 memory: 10484 grad_norm: 0.2515 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7063 recall@top3: 0.7738 prec@top3: 0.6349 recall@top5: 0.8571 prec@top5: 0.4476 loss_action_cls: 0.0608 loss: 0.0608 2022/08/11 14:40:46 - mmengine - INFO - Epoch(train) [6][1540/3842] lr: 4.6246e-02 eta: 2:35:15 time: 0.4944 data_time: 0.0189 memory: 10484 grad_norm: 0.2367 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7556 recall@top3: 0.7944 prec@top3: 0.6778 recall@top5: 0.8556 prec@top5: 0.4267 loss_action_cls: 0.0617 loss: 0.0617 2022/08/11 14:40:56 - mmengine - INFO - Epoch(train) [6][1560/3842] lr: 4.6171e-02 eta: 2:35:04 time: 0.5130 data_time: 0.0172 memory: 10484 grad_norm: 0.2197 recall@thr=0.5: 0.8590 prec@thr=0.5: 0.9487 recall@top3: 0.8462 prec@top3: 0.7949 recall@top5: 0.9744 prec@top5: 0.5692 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 14:41:06 - mmengine - INFO - Epoch(train) [6][1580/3842] lr: 4.6097e-02 eta: 2:34:53 time: 0.4985 data_time: 0.0224 memory: 10484 grad_norm: 0.2374 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.5246 recall@top3: 0.7061 prec@top3: 0.5263 recall@top5: 0.9693 prec@top5: 0.4316 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 14:41:17 - mmengine - INFO - Epoch(train) [6][1600/3842] lr: 4.6022e-02 eta: 2:34:43 time: 0.5204 data_time: 0.0180 memory: 10484 grad_norm: 0.2387 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6389 recall@top3: 0.6667 prec@top3: 0.3333 recall@top5: 0.8333 prec@top5: 0.2333 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 14:41:27 - mmengine - INFO - Epoch(train) [6][1620/3842] lr: 4.5948e-02 eta: 2:34:32 time: 0.5041 data_time: 0.0190 memory: 10484 grad_norm: 0.2277 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7963 recall@top3: 0.7963 prec@top3: 0.7593 recall@top5: 0.9444 prec@top5: 0.5111 loss_action_cls: 0.0494 loss: 0.0494 2022/08/11 14:41:37 - mmengine - INFO - Epoch(train) [6][1640/3842] lr: 4.5873e-02 eta: 2:34:21 time: 0.5189 data_time: 0.0169 memory: 10484 grad_norm: 0.2434 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.8725 recall@top3: 0.7892 prec@top3: 0.7647 recall@top5: 0.9314 prec@top5: 0.5647 loss_action_cls: 0.0601 loss: 0.0601 2022/08/11 14:41:47 - mmengine - INFO - Epoch(train) [6][1660/3842] lr: 4.5798e-02 eta: 2:34:10 time: 0.5141 data_time: 0.0194 memory: 10484 grad_norm: 0.2376 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.9375 recall@top3: 0.8438 prec@top3: 0.8333 recall@top5: 0.9375 prec@top5: 0.5625 loss_action_cls: 0.0575 loss: 0.0575 2022/08/11 14:41:57 - mmengine - INFO - Epoch(train) [6][1680/3842] lr: 4.5723e-02 eta: 2:33:59 time: 0.4925 data_time: 0.0173 memory: 10484 grad_norm: 0.2397 recall@thr=0.5: 0.5775 prec@thr=0.5: 0.5441 recall@top3: 0.7755 prec@top3: 0.5882 recall@top5: 0.9147 prec@top5: 0.4353 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 14:42:08 - mmengine - INFO - Epoch(train) [6][1700/3842] lr: 4.5648e-02 eta: 2:33:49 time: 0.5142 data_time: 0.0156 memory: 10484 grad_norm: 0.2442 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8106 recall@top3: 0.8674 prec@top3: 0.7121 recall@top5: 0.9659 prec@top5: 0.4909 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 14:42:17 - mmengine - INFO - Epoch(train) [6][1720/3842] lr: 4.5574e-02 eta: 2:33:37 time: 0.4913 data_time: 0.0176 memory: 10484 grad_norm: 0.2445 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7982 recall@top3: 0.7693 prec@top3: 0.7368 recall@top5: 0.9649 prec@top5: 0.5789 loss_action_cls: 0.0590 loss: 0.0590 2022/08/11 14:42:28 - mmengine - INFO - Epoch(train) [6][1740/3842] lr: 4.5499e-02 eta: 2:33:27 time: 0.5405 data_time: 0.0178 memory: 10484 grad_norm: 0.2397 recall@thr=0.5: 0.8211 prec@thr=0.5: 0.8421 recall@top3: 0.8702 prec@top3: 0.7368 recall@top5: 0.9263 prec@top5: 0.4842 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 14:42:38 - mmengine - INFO - Epoch(train) [6][1760/3842] lr: 4.5424e-02 eta: 2:33:16 time: 0.4917 data_time: 0.0175 memory: 10484 grad_norm: 0.2369 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7803 recall@top3: 0.9318 prec@top3: 0.6515 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 14:42:49 - mmengine - INFO - Epoch(train) [6][1780/3842] lr: 4.5349e-02 eta: 2:33:06 time: 0.5322 data_time: 0.0210 memory: 10484 grad_norm: 0.2371 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.9078 recall@top3: 0.8333 prec@top3: 0.8039 recall@top5: 0.9853 prec@top5: 0.5882 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 14:42:54 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 14:42:59 - mmengine - INFO - Epoch(train) [6][1800/3842] lr: 4.5274e-02 eta: 2:32:54 time: 0.4940 data_time: 0.0214 memory: 10484 grad_norm: 0.2264 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.8009 recall@top3: 0.7963 prec@top3: 0.6852 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 14:43:09 - mmengine - INFO - Epoch(train) [6][1820/3842] lr: 4.5199e-02 eta: 2:32:44 time: 0.5185 data_time: 0.0149 memory: 10484 grad_norm: 0.2394 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8588 recall@top3: 0.8471 prec@top3: 0.8039 recall@top5: 0.9490 prec@top5: 0.5647 loss_action_cls: 0.0540 loss: 0.0540 2022/08/11 14:43:19 - mmengine - INFO - Epoch(train) [6][1840/3842] lr: 4.5124e-02 eta: 2:32:33 time: 0.4906 data_time: 0.0188 memory: 10484 grad_norm: 0.2430 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7812 recall@top3: 0.7500 prec@top3: 0.6042 recall@top5: 0.8125 prec@top5: 0.4000 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 14:43:29 - mmengine - INFO - Epoch(train) [6][1860/3842] lr: 4.5049e-02 eta: 2:32:22 time: 0.5143 data_time: 0.0141 memory: 10484 grad_norm: 0.2347 recall@thr=0.5: 0.6760 prec@thr=0.5: 0.7917 recall@top3: 0.7719 prec@top3: 0.7500 recall@top5: 0.9510 prec@top5: 0.5625 loss_action_cls: 0.0574 loss: 0.0574 2022/08/11 14:43:39 - mmengine - INFO - Epoch(train) [6][1880/3842] lr: 4.4974e-02 eta: 2:32:11 time: 0.4902 data_time: 0.0180 memory: 10484 grad_norm: 0.2431 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7579 recall@top3: 0.7857 prec@top3: 0.6825 recall@top5: 0.9048 prec@top5: 0.4857 loss_action_cls: 0.0512 loss: 0.0512 2022/08/11 14:43:49 - mmengine - INFO - Epoch(train) [6][1900/3842] lr: 4.4899e-02 eta: 2:32:00 time: 0.5133 data_time: 0.0156 memory: 10484 grad_norm: 0.2336 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.9583 recall@top3: 0.9271 prec@top3: 0.8542 recall@top5: 0.9583 prec@top5: 0.5375 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 14:43:59 - mmengine - INFO - Epoch(train) [6][1920/3842] lr: 4.4823e-02 eta: 2:31:49 time: 0.4900 data_time: 0.0183 memory: 10484 grad_norm: 0.2431 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7146 recall@top3: 0.6875 prec@top3: 0.5208 recall@top5: 0.9375 prec@top5: 0.4625 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 14:44:09 - mmengine - INFO - Epoch(train) [6][1940/3842] lr: 4.4748e-02 eta: 2:31:38 time: 0.5126 data_time: 0.0151 memory: 10484 grad_norm: 0.2407 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.7544 recall@top3: 0.8088 prec@top3: 0.6140 recall@top5: 0.9088 prec@top5: 0.4105 loss_action_cls: 0.0532 loss: 0.0532 2022/08/11 14:44:19 - mmengine - INFO - Epoch(train) [6][1960/3842] lr: 4.4673e-02 eta: 2:31:27 time: 0.4901 data_time: 0.0175 memory: 10484 grad_norm: 0.2389 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6333 recall@top3: 0.7750 prec@top3: 0.5500 recall@top5: 0.9167 prec@top5: 0.4100 loss_action_cls: 0.0601 loss: 0.0601 2022/08/11 14:44:29 - mmengine - INFO - Epoch(train) [6][1980/3842] lr: 4.4598e-02 eta: 2:31:16 time: 0.5125 data_time: 0.0159 memory: 10484 grad_norm: 0.2439 recall@thr=0.5: 0.7765 prec@thr=0.5: 0.9091 recall@top3: 0.8712 prec@top3: 0.7273 recall@top5: 0.9167 prec@top5: 0.4727 loss_action_cls: 0.0581 loss: 0.0581 2022/08/11 14:44:39 - mmengine - INFO - Epoch(train) [6][2000/3842] lr: 4.4522e-02 eta: 2:31:05 time: 0.4911 data_time: 0.0173 memory: 10484 grad_norm: 0.2413 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.9167 recall@top3: 0.8214 prec@top3: 0.7500 recall@top5: 0.8929 prec@top5: 0.5000 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 14:44:49 - mmengine - INFO - Epoch(train) [6][2020/3842] lr: 4.4447e-02 eta: 2:30:54 time: 0.5122 data_time: 0.0149 memory: 10484 grad_norm: 0.2459 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8333 recall@top3: 0.8788 prec@top3: 0.6061 recall@top5: 0.9091 prec@top5: 0.3818 loss_action_cls: 0.0609 loss: 0.0609 2022/08/11 14:44:59 - mmengine - INFO - Epoch(train) [6][2040/3842] lr: 4.4372e-02 eta: 2:30:43 time: 0.4906 data_time: 0.0173 memory: 10484 grad_norm: 0.2412 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7976 recall@top3: 0.7583 prec@top3: 0.7143 recall@top5: 0.8643 prec@top5: 0.5143 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 14:45:10 - mmengine - INFO - Epoch(train) [6][2060/3842] lr: 4.4296e-02 eta: 2:30:33 time: 0.5281 data_time: 0.0147 memory: 10484 grad_norm: 0.2375 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.8485 recall@top3: 0.8333 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.5273 loss_action_cls: 0.0517 loss: 0.0517 2022/08/11 14:45:20 - mmengine - INFO - Epoch(train) [6][2080/3842] lr: 4.4221e-02 eta: 2:30:22 time: 0.5145 data_time: 0.0173 memory: 10484 grad_norm: 0.2448 recall@thr=0.5: 0.6412 prec@thr=0.5: 0.6386 recall@top3: 0.7991 prec@top3: 0.7018 recall@top5: 0.9061 prec@top5: 0.4947 loss_action_cls: 0.0598 loss: 0.0598 2022/08/11 14:45:30 - mmengine - INFO - Epoch(train) [6][2100/3842] lr: 4.4146e-02 eta: 2:30:11 time: 0.4887 data_time: 0.0174 memory: 10484 grad_norm: 0.2376 recall@thr=0.5: 0.7952 prec@thr=0.5: 0.9286 recall@top3: 0.8476 prec@top3: 0.8333 recall@top5: 0.8714 prec@top5: 0.5143 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 14:45:40 - mmengine - INFO - Epoch(train) [6][2120/3842] lr: 4.4070e-02 eta: 2:30:00 time: 0.5134 data_time: 0.0154 memory: 10484 grad_norm: 0.2390 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7037 recall@top3: 0.6620 prec@top3: 0.3889 recall@top5: 0.7963 prec@top5: 0.3000 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 14:45:50 - mmengine - INFO - Epoch(train) [6][2140/3842] lr: 4.3995e-02 eta: 2:29:49 time: 0.4902 data_time: 0.0180 memory: 10484 grad_norm: 0.2398 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8667 recall@top3: 0.8889 prec@top3: 0.5333 recall@top5: 0.9500 prec@top5: 0.3600 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 14:46:00 - mmengine - INFO - Epoch(train) [6][2160/3842] lr: 4.3919e-02 eta: 2:29:38 time: 0.5138 data_time: 0.0164 memory: 10484 grad_norm: 0.2373 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7500 recall@top3: 0.8102 prec@top3: 0.6852 recall@top5: 0.8657 prec@top5: 0.4556 loss_action_cls: 0.0594 loss: 0.0594 2022/08/11 14:46:10 - mmengine - INFO - Epoch(train) [6][2180/3842] lr: 4.3844e-02 eta: 2:29:27 time: 0.4915 data_time: 0.0191 memory: 10484 grad_norm: 0.2411 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.7778 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0631 loss: 0.0631 2022/08/11 14:46:20 - mmengine - INFO - Epoch(train) [6][2200/3842] lr: 4.3768e-02 eta: 2:29:16 time: 0.5155 data_time: 0.0144 memory: 10484 grad_norm: 0.2429 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9643 recall@top3: 0.8214 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0603 loss: 0.0603 2022/08/11 14:46:30 - mmengine - INFO - Epoch(train) [6][2220/3842] lr: 4.3692e-02 eta: 2:29:05 time: 0.4923 data_time: 0.0208 memory: 10484 grad_norm: 0.2383 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6562 recall@top3: 0.7917 prec@top3: 0.4583 recall@top5: 0.7917 prec@top5: 0.2750 loss_action_cls: 0.0600 loss: 0.0600 2022/08/11 14:46:40 - mmengine - INFO - Epoch(train) [6][2240/3842] lr: 4.3617e-02 eta: 2:28:54 time: 0.5114 data_time: 0.0163 memory: 10484 grad_norm: 0.2416 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8431 recall@top3: 0.9216 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0565 loss: 0.0565 2022/08/11 14:46:50 - mmengine - INFO - Epoch(train) [6][2260/3842] lr: 4.3541e-02 eta: 2:28:43 time: 0.4910 data_time: 0.0166 memory: 10484 grad_norm: 0.2299 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8021 recall@top3: 0.8177 prec@top3: 0.7292 recall@top5: 0.8750 prec@top5: 0.4750 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 14:47:00 - mmengine - INFO - Epoch(train) [6][2280/3842] lr: 4.3465e-02 eta: 2:28:33 time: 0.5123 data_time: 0.0160 memory: 10484 grad_norm: 0.2231 recall@thr=0.5: 0.8040 prec@thr=0.5: 0.8690 recall@top3: 0.8460 prec@top3: 0.8095 recall@top5: 0.9841 prec@top5: 0.5905 loss_action_cls: 0.0634 loss: 0.0634 2022/08/11 14:47:13 - mmengine - INFO - Epoch(train) [6][2300/3842] lr: 4.3390e-02 eta: 2:28:23 time: 0.6070 data_time: 0.0171 memory: 10484 grad_norm: 0.2409 recall@thr=0.5: 0.7660 prec@thr=0.5: 0.9038 recall@top3: 0.8558 prec@top3: 0.7949 recall@top5: 0.9487 prec@top5: 0.5385 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 14:47:23 - mmengine - INFO - Epoch(train) [6][2320/3842] lr: 4.3314e-02 eta: 2:28:13 time: 0.5330 data_time: 0.0190 memory: 10484 grad_norm: 0.2454 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7407 recall@top3: 0.7083 prec@top3: 0.5370 recall@top5: 0.9306 prec@top5: 0.4222 loss_action_cls: 0.0536 loss: 0.0536 2022/08/11 14:47:34 - mmengine - INFO - Epoch(train) [6][2340/3842] lr: 4.3238e-02 eta: 2:28:02 time: 0.5174 data_time: 0.0207 memory: 10484 grad_norm: 0.2342 recall@thr=0.5: 0.8659 prec@thr=0.5: 0.9659 recall@top3: 0.8833 prec@top3: 0.7273 recall@top5: 0.9909 prec@top5: 0.5091 loss_action_cls: 0.0639 loss: 0.0639 2022/08/11 14:47:44 - mmengine - INFO - Epoch(train) [6][2360/3842] lr: 4.3163e-02 eta: 2:27:52 time: 0.5167 data_time: 0.0187 memory: 10484 grad_norm: 0.2432 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.8636 recall@top3: 0.7197 prec@top3: 0.6061 recall@top5: 0.9015 prec@top5: 0.4364 loss_action_cls: 0.0610 loss: 0.0610 2022/08/11 14:47:54 - mmengine - INFO - Epoch(train) [6][2380/3842] lr: 4.3087e-02 eta: 2:27:41 time: 0.5113 data_time: 0.0178 memory: 10484 grad_norm: 0.2418 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8889 recall@top3: 0.9352 prec@top3: 0.7037 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 14:48:05 - mmengine - INFO - Epoch(train) [6][2400/3842] lr: 4.3011e-02 eta: 2:27:30 time: 0.5228 data_time: 0.0171 memory: 10484 grad_norm: 0.2366 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.5705 recall@top3: 0.6667 prec@top3: 0.5641 recall@top5: 0.8974 prec@top5: 0.4769 loss_action_cls: 0.0605 loss: 0.0605 2022/08/11 14:48:15 - mmengine - INFO - Epoch(train) [6][2420/3842] lr: 4.2935e-02 eta: 2:27:20 time: 0.5149 data_time: 0.0180 memory: 10484 grad_norm: 0.2380 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7333 recall@top3: 0.7356 prec@top3: 0.6667 recall@top5: 0.9133 prec@top5: 0.5200 loss_action_cls: 0.0564 loss: 0.0564 2022/08/11 14:48:25 - mmengine - INFO - Epoch(train) [6][2440/3842] lr: 4.2859e-02 eta: 2:27:08 time: 0.4912 data_time: 0.0170 memory: 10484 grad_norm: 0.2607 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8571 recall@top3: 0.8571 prec@top3: 0.7619 recall@top5: 0.8571 prec@top5: 0.4571 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 14:48:35 - mmengine - INFO - Epoch(train) [6][2460/3842] lr: 4.2783e-02 eta: 2:26:58 time: 0.5121 data_time: 0.0151 memory: 10484 grad_norm: 0.2375 recall@thr=0.5: 0.8439 prec@thr=0.5: 0.8860 recall@top3: 0.9053 prec@top3: 0.8947 recall@top5: 0.9789 prec@top5: 0.5895 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 14:48:45 - mmengine - INFO - Epoch(train) [6][2480/3842] lr: 4.2707e-02 eta: 2:26:47 time: 0.4929 data_time: 0.0179 memory: 10484 grad_norm: 0.2380 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7000 recall@top3: 0.7125 prec@top3: 0.6500 recall@top5: 0.9542 prec@top5: 0.5200 loss_action_cls: 0.0615 loss: 0.0615 2022/08/11 14:48:55 - mmengine - INFO - Epoch(train) [6][2500/3842] lr: 4.2632e-02 eta: 2:26:36 time: 0.5122 data_time: 0.0151 memory: 10484 grad_norm: 0.2323 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8287 recall@top3: 0.8037 prec@top3: 0.5370 recall@top5: 0.9389 prec@top5: 0.4222 loss_action_cls: 0.0583 loss: 0.0583 2022/08/11 14:49:06 - mmengine - INFO - Epoch(train) [6][2520/3842] lr: 4.2556e-02 eta: 2:26:25 time: 0.5283 data_time: 0.0188 memory: 10484 grad_norm: 0.2434 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.7738 recall@top3: 0.6845 prec@top3: 0.5952 recall@top5: 0.8571 prec@top5: 0.4714 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 14:49:16 - mmengine - INFO - Epoch(train) [6][2540/3842] lr: 4.2480e-02 eta: 2:26:14 time: 0.4922 data_time: 0.0215 memory: 10484 grad_norm: 0.2483 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6000 recall@top3: 0.7000 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.3733 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 14:49:26 - mmengine - INFO - Epoch(train) [6][2560/3842] lr: 4.2404e-02 eta: 2:26:04 time: 0.5128 data_time: 0.0161 memory: 10484 grad_norm: 0.2430 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7500 recall@top3: 0.7619 prec@top3: 0.6548 recall@top5: 0.9107 prec@top5: 0.4857 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 14:49:36 - mmengine - INFO - Epoch(train) [6][2580/3842] lr: 4.2328e-02 eta: 2:25:53 time: 0.4899 data_time: 0.0178 memory: 10484 grad_norm: 0.2314 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.8077 recall@top3: 0.7692 prec@top3: 0.7436 recall@top5: 0.9167 prec@top5: 0.5385 loss_action_cls: 0.0552 loss: 0.0552 2022/08/11 14:49:46 - mmengine - INFO - Epoch(train) [6][2600/3842] lr: 4.2252e-02 eta: 2:25:42 time: 0.5136 data_time: 0.0165 memory: 10484 grad_norm: 0.2389 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8750 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0568 loss: 0.0568 2022/08/11 14:49:56 - mmengine - INFO - Epoch(train) [6][2620/3842] lr: 4.2176e-02 eta: 2:25:31 time: 0.4905 data_time: 0.0169 memory: 10484 grad_norm: 0.2464 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.8590 recall@top3: 0.7756 prec@top3: 0.7436 recall@top5: 0.8526 prec@top5: 0.4923 loss_action_cls: 0.0615 loss: 0.0615 2022/08/11 14:50:06 - mmengine - INFO - Epoch(train) [6][2640/3842] lr: 4.2099e-02 eta: 2:25:20 time: 0.5372 data_time: 0.0182 memory: 10484 grad_norm: 0.2450 recall@thr=0.5: 0.7270 prec@thr=0.5: 0.7698 recall@top3: 0.7714 prec@top3: 0.6984 recall@top5: 0.9127 prec@top5: 0.5238 loss_action_cls: 0.0593 loss: 0.0593 2022/08/11 14:50:17 - mmengine - INFO - Epoch(train) [6][2660/3842] lr: 4.2023e-02 eta: 2:25:10 time: 0.5131 data_time: 0.0174 memory: 10484 grad_norm: 0.2280 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7544 recall@top3: 0.8026 prec@top3: 0.7018 recall@top5: 0.9079 prec@top5: 0.4842 loss_action_cls: 0.0570 loss: 0.0570 2022/08/11 14:50:27 - mmengine - INFO - Epoch(train) [6][2680/3842] lr: 4.1947e-02 eta: 2:24:59 time: 0.4970 data_time: 0.0193 memory: 10484 grad_norm: 0.2479 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8778 recall@top3: 0.7722 prec@top3: 0.6667 recall@top5: 0.8667 prec@top5: 0.4667 loss_action_cls: 0.0568 loss: 0.0568 2022/08/11 14:50:37 - mmengine - INFO - Epoch(train) [6][2700/3842] lr: 4.1871e-02 eta: 2:24:48 time: 0.5177 data_time: 0.0195 memory: 10484 grad_norm: 0.2379 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7719 recall@top3: 0.8421 prec@top3: 0.6842 recall@top5: 0.9868 prec@top5: 0.5053 loss_action_cls: 0.0619 loss: 0.0619 2022/08/11 14:50:47 - mmengine - INFO - Epoch(train) [6][2720/3842] lr: 4.1795e-02 eta: 2:24:37 time: 0.4951 data_time: 0.0175 memory: 10484 grad_norm: 0.2497 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9649 recall@top3: 0.9035 prec@top3: 0.8596 recall@top5: 0.9649 prec@top5: 0.5579 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 14:50:57 - mmengine - INFO - Epoch(train) [6][2740/3842] lr: 4.1719e-02 eta: 2:24:26 time: 0.5104 data_time: 0.0152 memory: 10484 grad_norm: 0.2420 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8333 recall@top3: 0.8380 prec@top3: 0.7037 recall@top5: 0.8889 prec@top5: 0.4556 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 14:51:07 - mmengine - INFO - Epoch(train) [6][2760/3842] lr: 4.1643e-02 eta: 2:24:15 time: 0.4899 data_time: 0.0174 memory: 10484 grad_norm: 0.2476 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.7105 recall@top3: 0.6491 prec@top3: 0.7193 recall@top5: 0.9035 prec@top5: 0.5789 loss_action_cls: 0.0557 loss: 0.0557 2022/08/11 14:51:17 - mmengine - INFO - Epoch(train) [6][2780/3842] lr: 4.1566e-02 eta: 2:24:04 time: 0.5118 data_time: 0.0167 memory: 10484 grad_norm: 0.2350 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8177 recall@top3: 0.8438 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.3750 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 14:51:22 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 14:51:27 - mmengine - INFO - Epoch(train) [6][2800/3842] lr: 4.1490e-02 eta: 2:23:53 time: 0.4921 data_time: 0.0179 memory: 10484 grad_norm: 0.2432 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8833 recall@top3: 0.8450 prec@top3: 0.7333 recall@top5: 0.8983 prec@top5: 0.4800 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 14:51:37 - mmengine - INFO - Epoch(train) [6][2820/3842] lr: 4.1414e-02 eta: 2:23:43 time: 0.5115 data_time: 0.0163 memory: 10484 grad_norm: 0.2433 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.6019 recall@top3: 0.7500 prec@top3: 0.5185 recall@top5: 0.8704 prec@top5: 0.3667 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 14:51:47 - mmengine - INFO - Epoch(train) [6][2840/3842] lr: 4.1338e-02 eta: 2:23:32 time: 0.4907 data_time: 0.0174 memory: 10484 grad_norm: 0.2574 recall@thr=0.5: 0.7847 prec@thr=0.5: 0.7917 recall@top3: 0.7847 prec@top3: 0.5556 recall@top5: 0.9375 prec@top5: 0.4167 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 14:51:57 - mmengine - INFO - Epoch(train) [6][2860/3842] lr: 4.1261e-02 eta: 2:23:21 time: 0.5095 data_time: 0.0146 memory: 10484 grad_norm: 0.2470 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9444 recall@top3: 0.8889 prec@top3: 0.6389 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0540 loss: 0.0540 2022/08/11 14:52:07 - mmengine - INFO - Epoch(train) [6][2880/3842] lr: 4.1185e-02 eta: 2:23:10 time: 0.4913 data_time: 0.0180 memory: 10484 grad_norm: 0.2309 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.8826 recall@top3: 0.8220 prec@top3: 0.6667 recall@top5: 0.9091 prec@top5: 0.4545 loss_action_cls: 0.0549 loss: 0.0549 2022/08/11 14:52:17 - mmengine - INFO - Epoch(train) [6][2900/3842] lr: 4.1109e-02 eta: 2:22:59 time: 0.5109 data_time: 0.0166 memory: 10484 grad_norm: 0.2439 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8158 recall@top3: 0.7807 prec@top3: 0.6667 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0577 loss: 0.0577 2022/08/11 14:52:27 - mmengine - INFO - Epoch(train) [6][2920/3842] lr: 4.1033e-02 eta: 2:22:48 time: 0.4927 data_time: 0.0178 memory: 10484 grad_norm: 0.2376 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.8500 recall@top3: 0.8556 prec@top3: 0.6000 recall@top5: 0.9778 prec@top5: 0.4000 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 14:52:37 - mmengine - INFO - Epoch(train) [6][2940/3842] lr: 4.0956e-02 eta: 2:22:37 time: 0.4917 data_time: 0.0150 memory: 10484 grad_norm: 0.2439 recall@thr=0.5: 0.8786 prec@thr=0.5: 0.7155 recall@top3: 0.8524 prec@top3: 0.6429 recall@top5: 0.9821 prec@top5: 0.4857 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 14:52:47 - mmengine - INFO - Epoch(train) [6][2960/3842] lr: 4.0880e-02 eta: 2:22:26 time: 0.5100 data_time: 0.0182 memory: 10484 grad_norm: 0.2494 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7887 recall@top3: 0.7589 prec@top3: 0.6667 recall@top5: 0.9107 prec@top5: 0.4857 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 14:52:57 - mmengine - INFO - Epoch(train) [6][2980/3842] lr: 4.0804e-02 eta: 2:22:16 time: 0.5134 data_time: 0.0179 memory: 10484 grad_norm: 0.2325 recall@thr=0.5: 0.8979 prec@thr=0.5: 0.9010 recall@top3: 0.8729 prec@top3: 0.8542 recall@top5: 0.9792 prec@top5: 0.6125 loss_action_cls: 0.0545 loss: 0.0545 2022/08/11 14:53:07 - mmengine - INFO - Epoch(train) [6][3000/3842] lr: 4.0727e-02 eta: 2:22:05 time: 0.5026 data_time: 0.0263 memory: 10484 grad_norm: 0.2393 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.9412 recall@top3: 0.9118 prec@top3: 0.7843 recall@top5: 0.9706 prec@top5: 0.5059 loss_action_cls: 0.0622 loss: 0.0622 2022/08/11 14:53:18 - mmengine - INFO - Epoch(train) [6][3020/3842] lr: 4.0651e-02 eta: 2:21:54 time: 0.5126 data_time: 0.0177 memory: 10484 grad_norm: 0.2312 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8824 recall@top3: 0.9020 prec@top3: 0.7451 recall@top5: 0.9804 prec@top5: 0.5059 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 14:53:28 - mmengine - INFO - Epoch(train) [6][3040/3842] lr: 4.0574e-02 eta: 2:21:43 time: 0.5044 data_time: 0.0180 memory: 10484 grad_norm: 0.2359 recall@thr=0.5: 0.8553 prec@thr=0.5: 0.8684 recall@top3: 0.8509 prec@top3: 0.7544 recall@top5: 0.9649 prec@top5: 0.5158 loss_action_cls: 0.0536 loss: 0.0536 2022/08/11 14:53:38 - mmengine - INFO - Epoch(train) [6][3060/3842] lr: 4.0498e-02 eta: 2:21:33 time: 0.5205 data_time: 0.0238 memory: 10484 grad_norm: 0.2337 recall@thr=0.5: 0.7141 prec@thr=0.5: 0.7179 recall@top3: 0.7679 prec@top3: 0.5128 recall@top5: 0.9462 prec@top5: 0.4154 loss_action_cls: 0.0605 loss: 0.0605 2022/08/11 14:53:49 - mmengine - INFO - Epoch(train) [6][3080/3842] lr: 4.0422e-02 eta: 2:21:22 time: 0.5306 data_time: 0.0176 memory: 10484 grad_norm: 0.2320 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8611 recall@top3: 0.8222 prec@top3: 0.5556 recall@top5: 0.9278 prec@top5: 0.4167 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 14:53:59 - mmengine - INFO - Epoch(train) [6][3100/3842] lr: 4.0345e-02 eta: 2:21:11 time: 0.4944 data_time: 0.0208 memory: 10484 grad_norm: 0.2344 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.8462 recall@top3: 0.8013 prec@top3: 0.7436 recall@top5: 0.8462 prec@top5: 0.4769 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 14:54:09 - mmengine - INFO - Epoch(train) [6][3120/3842] lr: 4.0269e-02 eta: 2:21:01 time: 0.5228 data_time: 0.0176 memory: 10484 grad_norm: 0.2482 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6548 recall@top3: 0.6726 prec@top3: 0.6429 recall@top5: 0.9048 prec@top5: 0.5143 loss_action_cls: 0.0571 loss: 0.0571 2022/08/11 14:54:19 - mmengine - INFO - Epoch(train) [6][3140/3842] lr: 4.0192e-02 eta: 2:20:50 time: 0.4888 data_time: 0.0163 memory: 10484 grad_norm: 0.2490 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.9118 recall@top3: 0.9020 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 14:54:29 - mmengine - INFO - Epoch(train) [6][3160/3842] lr: 4.0116e-02 eta: 2:20:39 time: 0.5116 data_time: 0.0157 memory: 10484 grad_norm: 0.2451 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7952 recall@top3: 0.8286 prec@top3: 0.6190 recall@top5: 0.9024 prec@top5: 0.4286 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 14:54:39 - mmengine - INFO - Epoch(train) [6][3180/3842] lr: 4.0039e-02 eta: 2:20:28 time: 0.4923 data_time: 0.0194 memory: 10484 grad_norm: 0.2439 recall@thr=0.5: 0.8272 prec@thr=0.5: 0.7716 recall@top3: 0.8889 prec@top3: 0.7407 recall@top5: 0.9753 prec@top5: 0.4963 loss_action_cls: 0.0547 loss: 0.0547 2022/08/11 14:54:50 - mmengine - INFO - Epoch(train) [6][3200/3842] lr: 3.9963e-02 eta: 2:20:17 time: 0.5269 data_time: 0.0164 memory: 10484 grad_norm: 0.2410 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.7826 recall@top3: 0.7464 prec@top3: 0.6087 recall@top5: 0.8768 prec@top5: 0.4348 loss_action_cls: 0.0526 loss: 0.0526 2022/08/11 14:54:59 - mmengine - INFO - Epoch(train) [6][3220/3842] lr: 3.9886e-02 eta: 2:20:06 time: 0.4940 data_time: 0.0155 memory: 10484 grad_norm: 0.2510 recall@thr=0.5: 0.7956 prec@thr=0.5: 0.8842 recall@top3: 0.7009 prec@top3: 0.8596 recall@top5: 0.8614 prec@top5: 0.6526 loss_action_cls: 0.0616 loss: 0.0616 2022/08/11 14:55:10 - mmengine - INFO - Epoch(train) [6][3240/3842] lr: 3.9810e-02 eta: 2:19:56 time: 0.5182 data_time: 0.0175 memory: 10484 grad_norm: 0.2483 recall@thr=0.5: 0.7392 prec@thr=0.5: 0.7204 recall@top3: 0.7796 prec@top3: 0.5806 recall@top5: 0.9301 prec@top5: 0.4452 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 14:55:20 - mmengine - INFO - Epoch(train) [6][3260/3842] lr: 3.9733e-02 eta: 2:19:45 time: 0.5166 data_time: 0.0182 memory: 10484 grad_norm: 0.2467 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.6515 recall@top3: 0.9091 prec@top3: 0.5758 recall@top5: 1.0000 prec@top5: 0.3818 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 14:55:30 - mmengine - INFO - Epoch(train) [6][3280/3842] lr: 3.9657e-02 eta: 2:19:34 time: 0.5130 data_time: 0.0179 memory: 10484 grad_norm: 0.2402 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9048 recall@top3: 0.8730 prec@top3: 0.7619 recall@top5: 0.9683 prec@top5: 0.5238 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 14:55:41 - mmengine - INFO - Epoch(train) [6][3300/3842] lr: 3.9580e-02 eta: 2:19:24 time: 0.5180 data_time: 0.0225 memory: 10484 grad_norm: 0.2525 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9271 recall@top3: 0.7396 prec@top3: 0.7292 recall@top5: 0.8958 prec@top5: 0.5375 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 14:55:51 - mmengine - INFO - Epoch(train) [6][3320/3842] lr: 3.9504e-02 eta: 2:19:13 time: 0.4968 data_time: 0.0191 memory: 10484 grad_norm: 0.2432 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7778 recall@top3: 0.9012 prec@top3: 0.6173 recall@top5: 0.9691 prec@top5: 0.4148 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 14:56:01 - mmengine - INFO - Epoch(train) [6][3340/3842] lr: 3.9427e-02 eta: 2:19:02 time: 0.5114 data_time: 0.0146 memory: 10484 grad_norm: 0.2355 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6528 recall@top3: 0.6806 prec@top3: 0.5000 recall@top5: 0.7778 prec@top5: 0.3500 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 14:56:11 - mmengine - INFO - Epoch(train) [6][3360/3842] lr: 3.9351e-02 eta: 2:18:52 time: 0.5199 data_time: 0.0201 memory: 10484 grad_norm: 0.2471 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.8733 recall@top3: 0.8667 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 14:56:21 - mmengine - INFO - Epoch(train) [6][3380/3842] lr: 3.9274e-02 eta: 2:18:41 time: 0.4889 data_time: 0.0166 memory: 10484 grad_norm: 0.2408 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.7971 recall@top3: 0.8043 prec@top3: 0.7826 recall@top5: 0.9565 prec@top5: 0.5739 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 14:56:31 - mmengine - INFO - Epoch(train) [6][3400/3842] lr: 3.9197e-02 eta: 2:18:30 time: 0.5121 data_time: 0.0183 memory: 10484 grad_norm: 0.2459 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7632 recall@top3: 0.9561 prec@top3: 0.7193 recall@top5: 0.9737 prec@top5: 0.4421 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 14:56:41 - mmengine - INFO - Epoch(train) [6][3420/3842] lr: 3.9121e-02 eta: 2:18:19 time: 0.4893 data_time: 0.0168 memory: 10484 grad_norm: 0.2356 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7315 recall@top3: 0.9722 prec@top3: 0.7407 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0584 loss: 0.0584 2022/08/11 14:56:51 - mmengine - INFO - Epoch(train) [6][3440/3842] lr: 3.9044e-02 eta: 2:18:08 time: 0.5155 data_time: 0.0186 memory: 10484 grad_norm: 0.2415 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8889 recall@top3: 0.7579 prec@top3: 0.8571 recall@top5: 0.9563 prec@top5: 0.6476 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 14:57:01 - mmengine - INFO - Epoch(train) [6][3460/3842] lr: 3.8968e-02 eta: 2:17:57 time: 0.4916 data_time: 0.0179 memory: 10484 grad_norm: 0.2425 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8137 recall@top3: 0.7990 prec@top3: 0.6078 recall@top5: 0.9608 prec@top5: 0.4588 loss_action_cls: 0.0506 loss: 0.0506 2022/08/11 14:57:12 - mmengine - INFO - Epoch(train) [6][3480/3842] lr: 3.8891e-02 eta: 2:17:47 time: 0.5180 data_time: 0.0191 memory: 10484 grad_norm: 0.2375 recall@thr=0.5: 0.6627 prec@thr=0.5: 0.7778 recall@top3: 0.7341 prec@top3: 0.6984 recall@top5: 0.8968 prec@top5: 0.5333 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 14:57:21 - mmengine - INFO - Epoch(train) [6][3500/3842] lr: 3.8814e-02 eta: 2:17:36 time: 0.4912 data_time: 0.0184 memory: 10484 grad_norm: 0.2512 recall@thr=0.5: 0.8127 prec@thr=0.5: 0.8595 recall@top3: 0.8238 prec@top3: 0.7619 recall@top5: 0.9651 prec@top5: 0.5619 loss_action_cls: 0.0566 loss: 0.0566 2022/08/11 14:57:32 - mmengine - INFO - Epoch(train) [6][3520/3842] lr: 3.8738e-02 eta: 2:17:25 time: 0.5272 data_time: 0.0165 memory: 10484 grad_norm: 0.2345 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8667 recall@top3: 0.9333 prec@top3: 0.7667 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 14:57:42 - mmengine - INFO - Epoch(train) [6][3540/3842] lr: 3.8661e-02 eta: 2:17:14 time: 0.4980 data_time: 0.0221 memory: 10484 grad_norm: 0.2424 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8596 recall@top3: 0.9035 prec@top3: 0.8421 recall@top5: 0.9649 prec@top5: 0.5474 loss_action_cls: 0.0564 loss: 0.0564 2022/08/11 14:57:53 - mmengine - INFO - Epoch(train) [6][3560/3842] lr: 3.8585e-02 eta: 2:17:04 time: 0.5305 data_time: 0.0160 memory: 10484 grad_norm: 0.2379 recall@thr=0.5: 0.8651 prec@thr=0.5: 0.9048 recall@top3: 0.8730 prec@top3: 0.8889 recall@top5: 0.9603 prec@top5: 0.5905 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 14:58:02 - mmengine - INFO - Epoch(train) [6][3580/3842] lr: 3.8508e-02 eta: 2:16:53 time: 0.4927 data_time: 0.0222 memory: 10484 grad_norm: 0.2458 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7130 recall@top3: 0.7546 prec@top3: 0.6481 recall@top5: 0.9120 prec@top5: 0.4778 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 14:58:13 - mmengine - INFO - Epoch(train) [6][3600/3842] lr: 3.8431e-02 eta: 2:16:42 time: 0.5178 data_time: 0.0176 memory: 10484 grad_norm: 0.2459 recall@thr=0.5: 0.5516 prec@thr=0.5: 0.6349 recall@top3: 0.7143 prec@top3: 0.6349 recall@top5: 0.8690 prec@top5: 0.4667 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 14:58:23 - mmengine - INFO - Epoch(train) [6][3620/3842] lr: 3.8355e-02 eta: 2:16:31 time: 0.4937 data_time: 0.0168 memory: 10484 grad_norm: 0.2312 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.6812 recall@top3: 0.7754 prec@top3: 0.5507 recall@top5: 0.9565 prec@top5: 0.4000 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 14:58:33 - mmengine - INFO - Epoch(train) [6][3640/3842] lr: 3.8278e-02 eta: 2:16:21 time: 0.5141 data_time: 0.0162 memory: 10484 grad_norm: 0.2432 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8981 recall@top3: 0.9352 prec@top3: 0.6111 recall@top5: 0.9630 prec@top5: 0.3778 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 14:58:43 - mmengine - INFO - Epoch(train) [6][3660/3842] lr: 3.8201e-02 eta: 2:16:10 time: 0.4910 data_time: 0.0185 memory: 10484 grad_norm: 0.2455 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.9687 recall@top3: 0.8188 prec@top3: 0.7083 recall@top5: 0.8938 prec@top5: 0.4625 loss_action_cls: 0.0512 loss: 0.0512 2022/08/11 14:58:53 - mmengine - INFO - Epoch(train) [6][3680/3842] lr: 3.8125e-02 eta: 2:15:59 time: 0.5136 data_time: 0.0163 memory: 10484 grad_norm: 0.2325 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8667 recall@top3: 0.8800 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.4267 loss_action_cls: 0.0546 loss: 0.0546 2022/08/11 14:59:03 - mmengine - INFO - Epoch(train) [6][3700/3842] lr: 3.8048e-02 eta: 2:15:48 time: 0.4931 data_time: 0.0195 memory: 10484 grad_norm: 0.2493 recall@thr=0.5: 0.8698 prec@thr=0.5: 0.8229 recall@top3: 0.8333 prec@top3: 0.6458 recall@top5: 0.9844 prec@top5: 0.4750 loss_action_cls: 0.0595 loss: 0.0595 2022/08/11 14:59:13 - mmengine - INFO - Epoch(train) [6][3720/3842] lr: 3.7971e-02 eta: 2:15:38 time: 0.5270 data_time: 0.0159 memory: 10484 grad_norm: 0.2432 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8561 recall@top3: 0.9394 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 14:59:24 - mmengine - INFO - Epoch(train) [6][3740/3842] lr: 3.7895e-02 eta: 2:15:27 time: 0.5147 data_time: 0.0179 memory: 10484 grad_norm: 0.2434 recall@thr=0.5: 0.7324 prec@thr=0.5: 0.9118 recall@top3: 0.8451 prec@top3: 0.7451 recall@top5: 0.8912 prec@top5: 0.4824 loss_action_cls: 0.0544 loss: 0.0544 2022/08/11 14:59:34 - mmengine - INFO - Epoch(train) [6][3760/3842] lr: 3.7818e-02 eta: 2:15:16 time: 0.4949 data_time: 0.0195 memory: 10484 grad_norm: 0.2496 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7273 recall@top3: 0.7955 prec@top3: 0.6364 recall@top5: 0.8636 prec@top5: 0.4364 loss_action_cls: 0.0570 loss: 0.0570 2022/08/11 14:59:44 - mmengine - INFO - Epoch(train) [6][3780/3842] lr: 3.7741e-02 eta: 2:15:05 time: 0.5143 data_time: 0.0124 memory: 10484 grad_norm: 0.2452 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8843 recall@top3: 0.8889 prec@top3: 0.7407 recall@top5: 0.9259 prec@top5: 0.4667 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 14:59:49 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 14:59:54 - mmengine - INFO - Epoch(train) [6][3800/3842] lr: 3.7665e-02 eta: 2:14:54 time: 0.4954 data_time: 0.0188 memory: 10484 grad_norm: 0.2472 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.8444 recall@top3: 0.7911 prec@top3: 0.7111 recall@top5: 0.9444 prec@top5: 0.5333 loss_action_cls: 0.0472 loss: 0.0472 2022/08/11 15:00:04 - mmengine - INFO - Epoch(train) [6][3820/3842] lr: 3.7588e-02 eta: 2:14:44 time: 0.5282 data_time: 0.0208 memory: 10484 grad_norm: 0.2464 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7059 recall@top3: 0.7157 prec@top3: 0.6667 recall@top5: 0.8775 prec@top5: 0.5176 loss_action_cls: 0.0573 loss: 0.0573 2022/08/11 15:00:15 - mmengine - INFO - Epoch(train) [6][3840/3842] lr: 3.7511e-02 eta: 2:14:33 time: 0.5105 data_time: 0.0167 memory: 10484 grad_norm: 0.2374 recall@thr=0.5: 0.9120 prec@thr=0.5: 0.9444 recall@top3: 0.8287 prec@top3: 0.8148 recall@top5: 0.9259 prec@top5: 0.5667 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 15:00:15 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 15:00:15 - mmengine - INFO - Epoch(train) [6][3842/3842] lr: 3.7504e-02 eta: 2:14:33 time: 0.4986 data_time: 0.0169 memory: 10484 grad_norm: 0.2475 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8485 recall@top3: 0.9091 prec@top3: 0.6667 recall@top5: 0.9545 prec@top5: 0.4182 loss_action_cls: 0.0523 loss: 0.0523 2022/08/11 15:00:15 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/11 15:00:22 - mmengine - INFO - Epoch(val) [6][20/6282] eta: 0:07:15 time: 0.0695 data_time: 0.0196 memory: 703 2022/08/11 15:00:23 - mmengine - INFO - Epoch(val) [6][40/6282] eta: 0:05:11 time: 0.0500 data_time: 0.0036 memory: 703 2022/08/11 15:00:24 - mmengine - INFO - Epoch(val) [6][60/6282] eta: 0:05:33 time: 0.0536 data_time: 0.0044 memory: 703 2022/08/11 15:00:26 - mmengine - INFO - Epoch(val) [6][80/6282] eta: 0:05:24 time: 0.0524 data_time: 0.0044 memory: 703 2022/08/11 15:00:27 - mmengine - INFO - Epoch(val) [6][100/6282] eta: 0:05:14 time: 0.0508 data_time: 0.0045 memory: 703 2022/08/11 15:00:28 - mmengine - INFO - Epoch(val) [6][120/6282] eta: 0:06:11 time: 0.0603 data_time: 0.0045 memory: 809 2022/08/11 15:00:29 - mmengine - INFO - Epoch(val) [6][140/6282] eta: 0:07:07 time: 0.0697 data_time: 0.0057 memory: 809 2022/08/11 15:00:31 - mmengine - INFO - Epoch(val) [6][160/6282] eta: 0:07:02 time: 0.0689 data_time: 0.0054 memory: 809 2022/08/11 15:00:32 - mmengine - INFO - Epoch(val) [6][180/6282] eta: 0:07:08 time: 0.0702 data_time: 0.0060 memory: 809 2022/08/11 15:00:33 - mmengine - INFO - Epoch(val) [6][200/6282] eta: 0:07:29 time: 0.0739 data_time: 0.0101 memory: 809 2022/08/11 15:00:35 - mmengine - INFO - Epoch(val) [6][220/6282] eta: 0:10:03 time: 0.0996 data_time: 0.0065 memory: 738 2022/08/11 15:00:37 - mmengine - INFO - Epoch(val) [6][240/6282] eta: 0:05:55 time: 0.0588 data_time: 0.0062 memory: 738 2022/08/11 15:00:38 - mmengine - INFO - Epoch(val) [6][260/6282] eta: 0:05:38 time: 0.0562 data_time: 0.0039 memory: 738 2022/08/11 15:00:39 - mmengine - INFO - Epoch(val) [6][280/6282] eta: 0:05:46 time: 0.0577 data_time: 0.0054 memory: 738 2022/08/11 15:00:40 - mmengine - INFO - Epoch(val) [6][300/6282] eta: 0:06:29 time: 0.0651 data_time: 0.0058 memory: 809 2022/08/11 15:00:42 - mmengine - INFO - Epoch(val) [6][320/6282] eta: 0:09:07 time: 0.0919 data_time: 0.0252 memory: 809 2022/08/11 15:00:44 - mmengine - INFO - Epoch(val) [6][340/6282] eta: 0:07:12 time: 0.0728 data_time: 0.0114 memory: 809 2022/08/11 15:00:45 - mmengine - INFO - Epoch(val) [6][360/6282] eta: 0:08:29 time: 0.0861 data_time: 0.0226 memory: 809 2022/08/11 15:00:47 - mmengine - INFO - Epoch(val) [6][380/6282] eta: 0:08:26 time: 0.0859 data_time: 0.0227 memory: 809 2022/08/11 15:00:48 - mmengine - INFO - Epoch(val) [6][400/6282] eta: 0:06:28 time: 0.0660 data_time: 0.0110 memory: 809 2022/08/11 15:00:50 - mmengine - INFO - Epoch(val) [6][420/6282] eta: 0:07:47 time: 0.0797 data_time: 0.0045 memory: 743 2022/08/11 15:00:51 - mmengine - INFO - Epoch(val) [6][440/6282] eta: 0:05:25 time: 0.0558 data_time: 0.0054 memory: 743 2022/08/11 15:00:52 - mmengine - INFO - Epoch(val) [6][460/6282] eta: 0:05:34 time: 0.0574 data_time: 0.0060 memory: 743 2022/08/11 15:00:53 - mmengine - INFO - Epoch(val) [6][480/6282] eta: 0:05:26 time: 0.0562 data_time: 0.0045 memory: 743 2022/08/11 15:00:54 - mmengine - INFO - Epoch(val) [6][500/6282] eta: 0:05:11 time: 0.0538 data_time: 0.0038 memory: 743 2022/08/11 15:00:55 - mmengine - INFO - Epoch(val) [6][520/6282] eta: 0:05:00 time: 0.0521 data_time: 0.0047 memory: 738 2022/08/11 15:00:56 - mmengine - INFO - Epoch(val) [6][540/6282] eta: 0:04:44 time: 0.0495 data_time: 0.0052 memory: 738 2022/08/11 15:00:57 - mmengine - INFO - Epoch(val) [6][560/6282] eta: 0:04:50 time: 0.0508 data_time: 0.0038 memory: 738 2022/08/11 15:00:58 - mmengine - INFO - Epoch(val) [6][580/6282] eta: 0:04:48 time: 0.0505 data_time: 0.0042 memory: 738 2022/08/11 15:01:00 - mmengine - INFO - Epoch(val) [6][600/6282] eta: 0:05:43 time: 0.0605 data_time: 0.0055 memory: 738 2022/08/11 15:01:01 - mmengine - INFO - Epoch(val) [6][620/6282] eta: 0:05:08 time: 0.0545 data_time: 0.0041 memory: 738 2022/08/11 15:01:02 - mmengine - INFO - Epoch(val) [6][640/6282] eta: 0:04:41 time: 0.0499 data_time: 0.0038 memory: 733 2022/08/11 15:01:03 - mmengine - INFO - Epoch(val) [6][660/6282] eta: 0:04:40 time: 0.0500 data_time: 0.0040 memory: 733 2022/08/11 15:01:04 - mmengine - INFO - Epoch(val) [6][680/6282] eta: 0:07:20 time: 0.0786 data_time: 0.0039 memory: 733 2022/08/11 15:01:05 - mmengine - INFO - Epoch(val) [6][700/6282] eta: 0:04:59 time: 0.0537 data_time: 0.0042 memory: 733 2022/08/11 15:01:08 - mmengine - INFO - Epoch(val) [6][720/6282] eta: 0:12:48 time: 0.1382 data_time: 0.0815 memory: 809 2022/08/11 15:01:14 - mmengine - INFO - Epoch(val) [6][740/6282] eta: 0:24:36 time: 0.2664 data_time: 0.2084 memory: 809 2022/08/11 15:01:16 - mmengine - INFO - Epoch(val) [6][760/6282] eta: 0:11:27 time: 0.1245 data_time: 0.0630 memory: 809 2022/08/11 15:01:19 - mmengine - INFO - Epoch(val) [6][780/6282] eta: 0:15:00 time: 0.1637 data_time: 0.1074 memory: 809 2022/08/11 15:01:22 - mmengine - INFO - Epoch(val) [6][800/6282] eta: 0:12:01 time: 0.1316 data_time: 0.0704 memory: 809 2022/08/11 15:01:24 - mmengine - INFO - Epoch(val) [6][820/6282] eta: 0:08:03 time: 0.0885 data_time: 0.0350 memory: 809 2022/08/11 15:01:25 - mmengine - INFO - Epoch(val) [6][840/6282] eta: 0:05:02 time: 0.0556 data_time: 0.0050 memory: 738 2022/08/11 15:01:26 - mmengine - INFO - Epoch(val) [6][860/6282] eta: 0:05:15 time: 0.0582 data_time: 0.0044 memory: 738 2022/08/11 15:01:27 - mmengine - INFO - Epoch(val) [6][880/6282] eta: 0:04:57 time: 0.0551 data_time: 0.0050 memory: 738 2022/08/11 15:01:28 - mmengine - INFO - Epoch(val) [6][900/6282] eta: 0:05:00 time: 0.0559 data_time: 0.0047 memory: 738 2022/08/11 15:01:29 - mmengine - INFO - Epoch(val) [6][920/6282] eta: 0:04:54 time: 0.0550 data_time: 0.0053 memory: 738 2022/08/11 15:01:30 - mmengine - INFO - Epoch(val) [6][940/6282] eta: 0:04:41 time: 0.0527 data_time: 0.0040 memory: 703 2022/08/11 15:01:32 - mmengine - INFO - Epoch(val) [6][960/6282] eta: 0:06:22 time: 0.0718 data_time: 0.0277 memory: 703 2022/08/11 15:01:33 - mmengine - INFO - Epoch(val) [6][980/6282] eta: 0:06:52 time: 0.0777 data_time: 0.0375 memory: 703 2022/08/11 15:01:35 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:06:35 time: 0.0749 data_time: 0.0272 memory: 703 2022/08/11 15:01:36 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:04:38 time: 0.0529 data_time: 0.0035 memory: 738 2022/08/11 15:01:37 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:05:11 time: 0.0595 data_time: 0.0056 memory: 738 2022/08/11 15:01:38 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:04:58 time: 0.0572 data_time: 0.0057 memory: 738 2022/08/11 15:01:39 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:05:02 time: 0.0582 data_time: 0.0049 memory: 738 2022/08/11 15:01:41 - mmengine - INFO - Epoch(val) [6][1100/6282] eta: 0:05:15 time: 0.0609 data_time: 0.0058 memory: 738 2022/08/11 15:01:42 - mmengine - INFO - Epoch(val) [6][1120/6282] eta: 0:04:54 time: 0.0571 data_time: 0.0047 memory: 738 2022/08/11 15:01:43 - mmengine - INFO - Epoch(val) [6][1140/6282] eta: 0:04:35 time: 0.0536 data_time: 0.0044 memory: 738 2022/08/11 15:01:44 - mmengine - INFO - Epoch(val) [6][1160/6282] eta: 0:04:57 time: 0.0581 data_time: 0.0090 memory: 738 2022/08/11 15:01:45 - mmengine - INFO - Epoch(val) [6][1180/6282] eta: 0:04:41 time: 0.0551 data_time: 0.0048 memory: 738 2022/08/11 15:01:46 - mmengine - INFO - Epoch(val) [6][1200/6282] eta: 0:04:31 time: 0.0534 data_time: 0.0036 memory: 738 2022/08/11 15:01:47 - mmengine - INFO - Epoch(val) [6][1220/6282] eta: 0:04:41 time: 0.0556 data_time: 0.0043 memory: 738 2022/08/11 15:01:51 - mmengine - INFO - Epoch(val) [6][1240/6282] eta: 0:14:18 time: 0.1703 data_time: 0.1093 memory: 809 2022/08/11 15:01:54 - mmengine - INFO - Epoch(val) [6][1260/6282] eta: 0:11:40 time: 0.1396 data_time: 0.0806 memory: 809 2022/08/11 15:01:58 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:16:16 time: 0.1952 data_time: 0.1369 memory: 809 2022/08/11 15:02:00 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:11:53 time: 0.1433 data_time: 0.0858 memory: 809 2022/08/11 15:02:04 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:15:43 time: 0.1901 data_time: 0.1318 memory: 809 2022/08/11 15:02:07 - mmengine - INFO - Epoch(val) [6][1340/6282] eta: 0:11:22 time: 0.1381 data_time: 0.0790 memory: 809 2022/08/11 15:02:11 - mmengine - INFO - Epoch(val) [6][1360/6282] eta: 0:14:57 time: 0.1823 data_time: 0.1257 memory: 809 2022/08/11 15:02:13 - mmengine - INFO - Epoch(val) [6][1380/6282] eta: 0:11:24 time: 0.1396 data_time: 0.0820 memory: 809 2022/08/11 15:02:17 - mmengine - INFO - Epoch(val) [6][1400/6282] eta: 0:13:38 time: 0.1676 data_time: 0.0999 memory: 809 2022/08/11 15:02:20 - mmengine - INFO - Epoch(val) [6][1420/6282] eta: 0:11:36 time: 0.1432 data_time: 0.0840 memory: 809 2022/08/11 15:02:21 - mmengine - INFO - Epoch(val) [6][1440/6282] eta: 0:06:41 time: 0.0830 data_time: 0.0235 memory: 809 2022/08/11 15:02:23 - mmengine - INFO - Epoch(val) [6][1460/6282] eta: 0:05:18 time: 0.0661 data_time: 0.0057 memory: 809 2022/08/11 15:02:24 - mmengine - INFO - Epoch(val) [6][1480/6282] eta: 0:05:10 time: 0.0646 data_time: 0.0052 memory: 809 2022/08/11 15:02:25 - mmengine - INFO - Epoch(val) [6][1500/6282] eta: 0:05:22 time: 0.0674 data_time: 0.0066 memory: 809 2022/08/11 15:02:27 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:05:18 time: 0.0668 data_time: 0.0052 memory: 911 2022/08/11 15:02:28 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:06:22 time: 0.0806 data_time: 0.0071 memory: 911 2022/08/11 15:02:30 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:06:05 time: 0.0775 data_time: 0.0057 memory: 911 2022/08/11 15:02:31 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:06:10 time: 0.0787 data_time: 0.0077 memory: 911 2022/08/11 15:02:33 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:06:00 time: 0.0770 data_time: 0.0054 memory: 911 2022/08/11 15:02:35 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:08:00 time: 0.1030 data_time: 0.0058 memory: 911 2022/08/11 15:02:36 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:04:52 time: 0.0630 data_time: 0.0052 memory: 809 2022/08/11 15:02:37 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:04:41 time: 0.0608 data_time: 0.0043 memory: 809 2022/08/11 15:02:39 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:04:40 time: 0.0609 data_time: 0.0048 memory: 809 2022/08/11 15:02:40 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:04:38 time: 0.0608 data_time: 0.0042 memory: 809 2022/08/11 15:02:41 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:04:28 time: 0.0589 data_time: 0.0036 memory: 809 2022/08/11 15:02:42 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:04:31 time: 0.0597 data_time: 0.0056 memory: 809 2022/08/11 15:02:44 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:05:03 time: 0.0670 data_time: 0.0061 memory: 809 2022/08/11 15:02:45 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:04:53 time: 0.0652 data_time: 0.0049 memory: 809 2022/08/11 15:02:46 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:04:39 time: 0.0623 data_time: 0.0042 memory: 809 2022/08/11 15:02:48 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:04:50 time: 0.0650 data_time: 0.0050 memory: 809 2022/08/11 15:02:49 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:06:23 time: 0.0864 data_time: 0.0257 memory: 809 2022/08/11 15:02:53 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:13:34 time: 0.1842 data_time: 0.1233 memory: 809 2022/08/11 15:02:56 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:10:42 time: 0.1459 data_time: 0.0702 memory: 809 2022/08/11 15:02:59 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:12:24 time: 0.1698 data_time: 0.1109 memory: 809 2022/08/11 15:03:02 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:09:36 time: 0.1321 data_time: 0.0689 memory: 809 2022/08/11 15:03:04 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:09:12 time: 0.1272 data_time: 0.0670 memory: 809 2022/08/11 15:03:06 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:03:58 time: 0.0551 data_time: 0.0040 memory: 743 2022/08/11 15:03:07 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:04:01 time: 0.0562 data_time: 0.0045 memory: 743 2022/08/11 15:03:08 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:03:58 time: 0.0558 data_time: 0.0063 memory: 743 2022/08/11 15:03:09 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:04:00 time: 0.0564 data_time: 0.0061 memory: 743 2022/08/11 15:03:10 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:03:53 time: 0.0550 data_time: 0.0041 memory: 743 2022/08/11 15:03:11 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:04:09 time: 0.0590 data_time: 0.0050 memory: 743 2022/08/11 15:03:12 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:04:06 time: 0.0587 data_time: 0.0052 memory: 743 2022/08/11 15:03:14 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:03:55 time: 0.0562 data_time: 0.0058 memory: 743 2022/08/11 15:03:15 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:05:38 time: 0.0813 data_time: 0.0056 memory: 743 2022/08/11 15:03:16 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:03:55 time: 0.0568 data_time: 0.0054 memory: 743 2022/08/11 15:03:17 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:03:48 time: 0.0555 data_time: 0.0051 memory: 738 2022/08/11 15:03:19 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:03:59 time: 0.0583 data_time: 0.0066 memory: 738 2022/08/11 15:03:20 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:03:56 time: 0.0580 data_time: 0.0055 memory: 738 2022/08/11 15:03:21 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:03:36 time: 0.0534 data_time: 0.0048 memory: 738 2022/08/11 15:03:22 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:03:46 time: 0.0560 data_time: 0.0057 memory: 738 2022/08/11 15:03:23 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:03:46 time: 0.0562 data_time: 0.0057 memory: 743 2022/08/11 15:03:24 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:03:42 time: 0.0555 data_time: 0.0053 memory: 743 2022/08/11 15:03:25 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:03:54 time: 0.0589 data_time: 0.0066 memory: 743 2022/08/11 15:03:27 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:03:40 time: 0.0557 data_time: 0.0047 memory: 743 2022/08/11 15:03:28 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:03:42 time: 0.0564 data_time: 0.0042 memory: 743 2022/08/11 15:03:29 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:03:49 time: 0.0585 data_time: 0.0071 memory: 738 2022/08/11 15:03:30 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:03:51 time: 0.0592 data_time: 0.0056 memory: 738 2022/08/11 15:03:31 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:03:40 time: 0.0568 data_time: 0.0042 memory: 738 2022/08/11 15:03:33 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:05:07 time: 0.0795 data_time: 0.0050 memory: 738 2022/08/11 15:03:34 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:04:00 time: 0.0626 data_time: 0.0064 memory: 738 2022/08/11 15:03:36 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:05:50 time: 0.0918 data_time: 0.0257 memory: 809 2022/08/11 15:03:38 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:05:38 time: 0.0891 data_time: 0.0230 memory: 809 2022/08/11 15:03:40 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:05:49 time: 0.0923 data_time: 0.0344 memory: 809 2022/08/11 15:03:41 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:05:24 time: 0.0862 data_time: 0.0276 memory: 809 2022/08/11 15:03:44 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:08:04 time: 0.1295 data_time: 0.0696 memory: 809 2022/08/11 15:03:47 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:09:04 time: 0.1462 data_time: 0.0691 memory: 809 2022/08/11 15:03:51 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:11:41 time: 0.1894 data_time: 0.1313 memory: 809 2022/08/11 15:03:54 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:09:19 time: 0.1519 data_time: 0.0923 memory: 809 2022/08/11 15:03:57 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:10:08 time: 0.1662 data_time: 0.1052 memory: 809 2022/08/11 15:04:00 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:09:23 time: 0.1547 data_time: 0.0898 memory: 809 2022/08/11 15:04:02 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:04:37 time: 0.0767 data_time: 0.0040 memory: 902 2022/08/11 15:04:03 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:05:26 time: 0.0906 data_time: 0.0062 memory: 902 2022/08/11 15:04:05 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:04:42 time: 0.0789 data_time: 0.0067 memory: 902 2022/08/11 15:04:07 - mmengine - INFO - Epoch(val) [6][2720/6282] eta: 0:04:47 time: 0.0808 data_time: 0.0058 memory: 902 2022/08/11 15:04:08 - mmengine - INFO - Epoch(val) [6][2740/6282] eta: 0:04:46 time: 0.0810 data_time: 0.0071 memory: 902 2022/08/11 15:04:10 - mmengine - INFO - Epoch(val) [6][2760/6282] eta: 0:03:45 time: 0.0640 data_time: 0.0060 memory: 743 2022/08/11 15:04:11 - mmengine - INFO - Epoch(val) [6][2780/6282] eta: 0:03:28 time: 0.0597 data_time: 0.0074 memory: 743 2022/08/11 15:04:12 - mmengine - INFO - Epoch(val) [6][2800/6282] eta: 0:03:22 time: 0.0581 data_time: 0.0047 memory: 743 2022/08/11 15:04:13 - mmengine - INFO - Epoch(val) [6][2820/6282] eta: 0:03:25 time: 0.0593 data_time: 0.0055 memory: 743 2022/08/11 15:04:15 - mmengine - INFO - Epoch(val) [6][2840/6282] eta: 0:04:33 time: 0.0796 data_time: 0.0050 memory: 743 2022/08/11 15:04:16 - mmengine - INFO - Epoch(val) [6][2860/6282] eta: 0:03:36 time: 0.0633 data_time: 0.0045 memory: 809 2022/08/11 15:04:17 - mmengine - INFO - Epoch(val) [6][2880/6282] eta: 0:03:30 time: 0.0619 data_time: 0.0041 memory: 809 2022/08/11 15:04:18 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:03:29 time: 0.0621 data_time: 0.0043 memory: 809 2022/08/11 15:04:20 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:03:02 time: 0.0544 data_time: 0.0038 memory: 809 2022/08/11 15:04:21 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:02:57 time: 0.0532 data_time: 0.0041 memory: 773 2022/08/11 15:04:22 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:02:52 time: 0.0519 data_time: 0.0035 memory: 773 2022/08/11 15:04:23 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:02:57 time: 0.0538 data_time: 0.0052 memory: 773 2022/08/11 15:04:24 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:02:54 time: 0.0533 data_time: 0.0038 memory: 773 2022/08/11 15:04:25 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:03:18 time: 0.0608 data_time: 0.0047 memory: 809 2022/08/11 15:04:26 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:03:29 time: 0.0647 data_time: 0.0050 memory: 809 2022/08/11 15:04:28 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:03:31 time: 0.0657 data_time: 0.0049 memory: 809 2022/08/11 15:04:29 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:03:30 time: 0.0659 data_time: 0.0052 memory: 809 2022/08/11 15:04:30 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:03:19 time: 0.0625 data_time: 0.0062 memory: 809 2022/08/11 15:04:31 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:03:13 time: 0.0613 data_time: 0.0064 memory: 743 2022/08/11 15:04:33 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:03:09 time: 0.0603 data_time: 0.0065 memory: 743 2022/08/11 15:04:34 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:03:09 time: 0.0607 data_time: 0.0061 memory: 743 2022/08/11 15:04:36 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:04:25 time: 0.0857 data_time: 0.0052 memory: 743 2022/08/11 15:04:37 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:03:44 time: 0.0729 data_time: 0.0063 memory: 809 2022/08/11 15:04:39 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:04:15 time: 0.0833 data_time: 0.0212 memory: 809 2022/08/11 15:04:40 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:03:56 time: 0.0778 data_time: 0.0158 memory: 809 2022/08/11 15:04:42 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:03:18 time: 0.0656 data_time: 0.0052 memory: 809 2022/08/11 15:04:43 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:03:13 time: 0.0643 data_time: 0.0063 memory: 809 2022/08/11 15:04:44 - mmengine - INFO - Epoch(val) [6][3300/6282] eta: 0:03:04 time: 0.0620 data_time: 0.0048 memory: 809 2022/08/11 15:04:46 - mmengine - INFO - Epoch(val) [6][3320/6282] eta: 0:03:14 time: 0.0657 data_time: 0.0054 memory: 809 2022/08/11 15:04:47 - mmengine - INFO - Epoch(val) [6][3340/6282] eta: 0:03:09 time: 0.0645 data_time: 0.0042 memory: 809 2022/08/11 15:04:48 - mmengine - INFO - Epoch(val) [6][3360/6282] eta: 0:03:17 time: 0.0676 data_time: 0.0062 memory: 809 2022/08/11 15:04:49 - mmengine - INFO - Epoch(val) [6][3380/6282] eta: 0:02:56 time: 0.0608 data_time: 0.0045 memory: 809 2022/08/11 15:04:50 - mmengine - INFO - Epoch(val) [6][3400/6282] eta: 0:02:27 time: 0.0510 data_time: 0.0040 memory: 738 2022/08/11 15:04:51 - mmengine - INFO - Epoch(val) [6][3420/6282] eta: 0:02:30 time: 0.0528 data_time: 0.0040 memory: 738 2022/08/11 15:04:53 - mmengine - INFO - Epoch(val) [6][3440/6282] eta: 0:02:27 time: 0.0518 data_time: 0.0059 memory: 738 2022/08/11 15:04:54 - mmengine - INFO - Epoch(val) [6][3460/6282] eta: 0:02:19 time: 0.0496 data_time: 0.0043 memory: 738 2022/08/11 15:04:55 - mmengine - INFO - Epoch(val) [6][3480/6282] eta: 0:03:38 time: 0.0780 data_time: 0.0044 memory: 738 2022/08/11 15:04:56 - mmengine - INFO - Epoch(val) [6][3500/6282] eta: 0:02:17 time: 0.0495 data_time: 0.0043 memory: 738 2022/08/11 15:04:57 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:02:14 time: 0.0488 data_time: 0.0043 memory: 738 2022/08/11 15:04:58 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:02:19 time: 0.0507 data_time: 0.0039 memory: 738 2022/08/11 15:04:59 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:02:22 time: 0.0523 data_time: 0.0037 memory: 738 2022/08/11 15:05:00 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:26 time: 0.0543 data_time: 0.0055 memory: 789 2022/08/11 15:05:02 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:02:54 time: 0.0651 data_time: 0.0086 memory: 789 2022/08/11 15:05:03 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:02:54 time: 0.0654 data_time: 0.0045 memory: 789 2022/08/11 15:05:04 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:02:45 time: 0.0626 data_time: 0.0072 memory: 789 2022/08/11 15:05:05 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:02:47 time: 0.0637 data_time: 0.0053 memory: 789 2022/08/11 15:05:07 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:02:59 time: 0.0690 data_time: 0.0084 memory: 809 2022/08/11 15:05:09 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:03:44 time: 0.0869 data_time: 0.0231 memory: 809 2022/08/11 15:05:10 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:03:51 time: 0.0902 data_time: 0.0266 memory: 809 2022/08/11 15:05:12 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:03:40 time: 0.0867 data_time: 0.0229 memory: 809 2022/08/11 15:05:14 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:03:52 time: 0.0922 data_time: 0.0302 memory: 809 2022/08/11 15:05:16 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:04:23 time: 0.1054 data_time: 0.0122 memory: 809 2022/08/11 15:05:18 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:03:39 time: 0.0883 data_time: 0.0197 memory: 809 2022/08/11 15:05:20 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:03:38 time: 0.0887 data_time: 0.0254 memory: 809 2022/08/11 15:05:22 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:03:55 time: 0.0966 data_time: 0.0332 memory: 809 2022/08/11 15:05:23 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:03:37 time: 0.0900 data_time: 0.0242 memory: 809 2022/08/11 15:05:25 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:03:44 time: 0.0935 data_time: 0.0299 memory: 809 2022/08/11 15:05:27 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:03:02 time: 0.0764 data_time: 0.0155 memory: 809 2022/08/11 15:05:29 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:03:32 time: 0.0898 data_time: 0.0298 memory: 809 2022/08/11 15:05:30 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:02:42 time: 0.0696 data_time: 0.0097 memory: 809 2022/08/11 15:05:31 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:02:39 time: 0.0688 data_time: 0.0085 memory: 809 2022/08/11 15:05:33 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:02:17 time: 0.0599 data_time: 0.0050 memory: 809 2022/08/11 15:05:34 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:02:13 time: 0.0584 data_time: 0.0046 memory: 809 2022/08/11 15:05:35 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:03:08 time: 0.0835 data_time: 0.0050 memory: 809 2022/08/11 15:05:37 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:02:13 time: 0.0594 data_time: 0.0044 memory: 902 2022/08/11 15:05:38 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:02:30 time: 0.0678 data_time: 0.0042 memory: 902 2022/08/11 15:05:39 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:02:39 time: 0.0725 data_time: 0.0051 memory: 902 2022/08/11 15:05:41 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:02:48 time: 0.0771 data_time: 0.0052 memory: 902 2022/08/11 15:05:43 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:02:47 time: 0.0775 data_time: 0.0056 memory: 902 2022/08/11 15:05:44 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:02:30 time: 0.0702 data_time: 0.0068 memory: 902 2022/08/11 15:05:45 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:01:59 time: 0.0562 data_time: 0.0055 memory: 738 2022/08/11 15:05:46 - mmengine - INFO - Epoch(val) [6][4180/6282] eta: 0:01:54 time: 0.0546 data_time: 0.0061 memory: 738 2022/08/11 15:05:47 - mmengine - INFO - Epoch(val) [6][4200/6282] eta: 0:01:57 time: 0.0563 data_time: 0.0063 memory: 738 2022/08/11 15:05:48 - mmengine - INFO - Epoch(val) [6][4220/6282] eta: 0:01:54 time: 0.0554 data_time: 0.0054 memory: 738 2022/08/11 15:05:50 - mmengine - INFO - Epoch(val) [6][4240/6282] eta: 0:01:53 time: 0.0556 data_time: 0.0055 memory: 738 2022/08/11 15:05:51 - mmengine - INFO - Epoch(val) [6][4260/6282] eta: 0:01:49 time: 0.0543 data_time: 0.0045 memory: 736 2022/08/11 15:05:52 - mmengine - INFO - Epoch(val) [6][4280/6282] eta: 0:01:44 time: 0.0523 data_time: 0.0040 memory: 736 2022/08/11 15:05:53 - mmengine - INFO - Epoch(val) [6][4300/6282] eta: 0:01:38 time: 0.0498 data_time: 0.0036 memory: 736 2022/08/11 15:05:54 - mmengine - INFO - Epoch(val) [6][4320/6282] eta: 0:01:32 time: 0.0472 data_time: 0.0035 memory: 736 2022/08/11 15:05:55 - mmengine - INFO - Epoch(val) [6][4340/6282] eta: 0:02:28 time: 0.0765 data_time: 0.0037 memory: 736 2022/08/11 15:05:56 - mmengine - INFO - Epoch(val) [6][4360/6282] eta: 0:01:55 time: 0.0600 data_time: 0.0046 memory: 809 2022/08/11 15:05:58 - mmengine - INFO - Epoch(val) [6][4380/6282] eta: 0:01:58 time: 0.0622 data_time: 0.0055 memory: 809 2022/08/11 15:05:59 - mmengine - INFO - Epoch(val) [6][4400/6282] eta: 0:01:58 time: 0.0631 data_time: 0.0052 memory: 809 2022/08/11 15:06:00 - mmengine - INFO - Epoch(val) [6][4420/6282] eta: 0:01:56 time: 0.0624 data_time: 0.0044 memory: 809 2022/08/11 15:06:01 - mmengine - INFO - Epoch(val) [6][4440/6282] eta: 0:01:58 time: 0.0642 data_time: 0.0048 memory: 816 2022/08/11 15:06:03 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:02:01 time: 0.0668 data_time: 0.0058 memory: 816 2022/08/11 15:06:04 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:01:59 time: 0.0664 data_time: 0.0055 memory: 816 2022/08/11 15:06:05 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:01:57 time: 0.0659 data_time: 0.0053 memory: 816 2022/08/11 15:06:07 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:01:58 time: 0.0672 data_time: 0.0047 memory: 816 2022/08/11 15:06:08 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:39 time: 0.0572 data_time: 0.0062 memory: 743 2022/08/11 15:06:09 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:31 time: 0.0533 data_time: 0.0048 memory: 743 2022/08/11 15:06:10 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:35 time: 0.0559 data_time: 0.0059 memory: 743 2022/08/11 15:06:11 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:01:31 time: 0.0542 data_time: 0.0042 memory: 743 2022/08/11 15:06:12 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:28 time: 0.0533 data_time: 0.0041 memory: 743 2022/08/11 15:06:14 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:01:41 time: 0.0616 data_time: 0.0048 memory: 816 2022/08/11 15:06:15 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:02:22 time: 0.0877 data_time: 0.0052 memory: 816 2022/08/11 15:06:17 - mmengine - INFO - Epoch(val) [6][4680/6282] eta: 0:01:39 time: 0.0618 data_time: 0.0040 memory: 816 2022/08/11 15:06:18 - mmengine - INFO - Epoch(val) [6][4700/6282] eta: 0:01:37 time: 0.0614 data_time: 0.0041 memory: 816 2022/08/11 15:06:19 - mmengine - INFO - Epoch(val) [6][4720/6282] eta: 0:01:36 time: 0.0620 data_time: 0.0043 memory: 816 2022/08/11 15:06:20 - mmengine - INFO - Epoch(val) [6][4740/6282] eta: 0:01:29 time: 0.0583 data_time: 0.0052 memory: 768 2022/08/11 15:06:21 - mmengine - INFO - Epoch(val) [6][4760/6282] eta: 0:01:24 time: 0.0555 data_time: 0.0051 memory: 768 2022/08/11 15:06:22 - mmengine - INFO - Epoch(val) [6][4780/6282] eta: 0:01:26 time: 0.0574 data_time: 0.0058 memory: 768 2022/08/11 15:06:24 - mmengine - INFO - Epoch(val) [6][4800/6282] eta: 0:01:24 time: 0.0568 data_time: 0.0043 memory: 768 2022/08/11 15:06:25 - mmengine - INFO - Epoch(val) [6][4820/6282] eta: 0:01:31 time: 0.0629 data_time: 0.0062 memory: 809 2022/08/11 15:06:26 - mmengine - INFO - Epoch(val) [6][4840/6282] eta: 0:01:33 time: 0.0649 data_time: 0.0043 memory: 809 2022/08/11 15:06:27 - mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:32 time: 0.0649 data_time: 0.0050 memory: 809 2022/08/11 15:06:29 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:30 time: 0.0646 data_time: 0.0054 memory: 809 2022/08/11 15:06:31 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:58 time: 0.0860 data_time: 0.0043 memory: 809 2022/08/11 15:06:32 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:24 time: 0.0620 data_time: 0.0054 memory: 811 2022/08/11 15:06:33 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:22 time: 0.0614 data_time: 0.0045 memory: 811 2022/08/11 15:06:34 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:01:29 time: 0.0680 data_time: 0.0056 memory: 811 2022/08/11 15:06:36 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:26 time: 0.0663 data_time: 0.0053 memory: 811 2022/08/11 15:06:37 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:01:23 time: 0.0648 data_time: 0.0052 memory: 811 2022/08/11 15:06:38 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:01:16 time: 0.0610 data_time: 0.0050 memory: 811 2022/08/11 15:06:39 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:01:13 time: 0.0588 data_time: 0.0060 memory: 743 2022/08/11 15:06:41 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:01:10 time: 0.0579 data_time: 0.0037 memory: 743 2022/08/11 15:06:42 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:01:07 time: 0.0565 data_time: 0.0061 memory: 743 2022/08/11 15:06:43 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:01:08 time: 0.0581 data_time: 0.0053 memory: 743 2022/08/11 15:06:44 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:01:02 time: 0.0540 data_time: 0.0046 memory: 743 2022/08/11 15:06:46 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:01:34 time: 0.0823 data_time: 0.0048 memory: 738 2022/08/11 15:06:47 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:01:02 time: 0.0554 data_time: 0.0052 memory: 738 2022/08/11 15:06:48 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:00:59 time: 0.0542 data_time: 0.0051 memory: 738 2022/08/11 15:06:49 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:01:01 time: 0.0571 data_time: 0.0051 memory: 738 2022/08/11 15:06:50 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:00:59 time: 0.0558 data_time: 0.0061 memory: 738 2022/08/11 15:06:51 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:01:00 time: 0.0579 data_time: 0.0039 memory: 736 2022/08/11 15:06:52 - mmengine - INFO - Epoch(val) [6][5260/6282] eta: 0:00:57 time: 0.0567 data_time: 0.0055 memory: 736 2022/08/11 15:06:53 - mmengine - INFO - Epoch(val) [6][5280/6282] eta: 0:00:53 time: 0.0537 data_time: 0.0057 memory: 736 2022/08/11 15:06:55 - mmengine - INFO - Epoch(val) [6][5300/6282] eta: 0:00:56 time: 0.0576 data_time: 0.0045 memory: 736 2022/08/11 15:06:56 - mmengine - INFO - Epoch(val) [6][5320/6282] eta: 0:00:51 time: 0.0535 data_time: 0.0048 memory: 738 2022/08/11 15:06:57 - mmengine - INFO - Epoch(val) [6][5340/6282] eta: 0:00:52 time: 0.0555 data_time: 0.0068 memory: 738 2022/08/11 15:06:58 - mmengine - INFO - Epoch(val) [6][5360/6282] eta: 0:00:53 time: 0.0576 data_time: 0.0054 memory: 738 2022/08/11 15:06:59 - mmengine - INFO - Epoch(val) [6][5380/6282] eta: 0:00:48 time: 0.0543 data_time: 0.0041 memory: 738 2022/08/11 15:07:00 - mmengine - INFO - Epoch(val) [6][5400/6282] eta: 0:00:49 time: 0.0556 data_time: 0.0047 memory: 738 2022/08/11 15:07:01 - mmengine - INFO - Epoch(val) [6][5420/6282] eta: 0:00:47 time: 0.0549 data_time: 0.0044 memory: 738 2022/08/11 15:07:02 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:47 time: 0.0559 data_time: 0.0043 memory: 738 2022/08/11 15:07:04 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:45 time: 0.0559 data_time: 0.0044 memory: 738 2022/08/11 15:07:05 - mmengine - INFO - Epoch(val) [6][5480/6282] eta: 0:01:04 time: 0.0809 data_time: 0.0043 memory: 738 2022/08/11 15:07:06 - mmengine - INFO - Epoch(val) [6][5500/6282] eta: 0:00:41 time: 0.0532 data_time: 0.0051 memory: 738 2022/08/11 15:07:07 - mmengine - INFO - Epoch(val) [6][5520/6282] eta: 0:00:44 time: 0.0589 data_time: 0.0053 memory: 763 2022/08/11 15:07:09 - mmengine - INFO - Epoch(val) [6][5540/6282] eta: 0:00:42 time: 0.0574 data_time: 0.0046 memory: 763 2022/08/11 15:07:10 - mmengine - INFO - Epoch(val) [6][5560/6282] eta: 0:00:40 time: 0.0566 data_time: 0.0051 memory: 763 2022/08/11 15:07:11 - mmengine - INFO - Epoch(val) [6][5580/6282] eta: 0:00:41 time: 0.0591 data_time: 0.0062 memory: 763 2022/08/11 15:07:12 - mmengine - INFO - Epoch(val) [6][5600/6282] eta: 0:00:41 time: 0.0604 data_time: 0.0055 memory: 763 2022/08/11 15:07:13 - mmengine - INFO - Epoch(val) [6][5620/6282] eta: 0:00:36 time: 0.0546 data_time: 0.0054 memory: 763 2022/08/11 15:07:14 - mmengine - INFO - Epoch(val) [6][5640/6282] eta: 0:00:33 time: 0.0517 data_time: 0.0053 memory: 738 2022/08/11 15:07:15 - mmengine - INFO - Epoch(val) [6][5660/6282] eta: 0:00:33 time: 0.0539 data_time: 0.0045 memory: 738 2022/08/11 15:07:16 - mmengine - INFO - Epoch(val) [6][5680/6282] eta: 0:00:30 time: 0.0506 data_time: 0.0041 memory: 738 2022/08/11 15:07:17 - mmengine - INFO - Epoch(val) [6][5700/6282] eta: 0:00:29 time: 0.0512 data_time: 0.0036 memory: 738 2022/08/11 15:07:18 - mmengine - INFO - Epoch(val) [6][5720/6282] eta: 0:00:29 time: 0.0525 data_time: 0.0039 memory: 780 2022/08/11 15:07:20 - mmengine - INFO - Epoch(val) [6][5740/6282] eta: 0:00:31 time: 0.0581 data_time: 0.0042 memory: 780 2022/08/11 15:07:21 - mmengine - INFO - Epoch(val) [6][5760/6282] eta: 0:00:31 time: 0.0605 data_time: 0.0054 memory: 780 2022/08/11 15:07:22 - mmengine - INFO - Epoch(val) [6][5780/6282] eta: 0:00:28 time: 0.0572 data_time: 0.0053 memory: 780 2022/08/11 15:07:23 - mmengine - INFO - Epoch(val) [6][5800/6282] eta: 0:00:30 time: 0.0629 data_time: 0.0061 memory: 780 2022/08/11 15:07:24 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:27 time: 0.0594 data_time: 0.0057 memory: 780 2022/08/11 15:07:26 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:27 time: 0.0633 data_time: 0.0059 memory: 763 2022/08/11 15:07:27 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:24 time: 0.0590 data_time: 0.0059 memory: 763 2022/08/11 15:07:28 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:23 time: 0.0575 data_time: 0.0039 memory: 763 2022/08/11 15:07:29 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:21 time: 0.0562 data_time: 0.0049 memory: 763 2022/08/11 15:07:32 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:47 time: 0.1316 data_time: 0.0851 memory: 763 2022/08/11 15:07:33 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:22 time: 0.0648 data_time: 0.0230 memory: 738 2022/08/11 15:07:35 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:24 time: 0.0765 data_time: 0.0290 memory: 738 2022/08/11 15:07:36 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:16 time: 0.0535 data_time: 0.0042 memory: 738 2022/08/11 15:07:38 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:24 time: 0.0886 data_time: 0.0300 memory: 809 2022/08/11 15:07:39 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:17 time: 0.0682 data_time: 0.0053 memory: 809 2022/08/11 15:07:40 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:16 time: 0.0694 data_time: 0.0059 memory: 809 2022/08/11 15:07:42 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:16 time: 0.0733 data_time: 0.0061 memory: 809 2022/08/11 15:07:43 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:14 time: 0.0718 data_time: 0.0069 memory: 809 2022/08/11 15:07:45 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:15 time: 0.0841 data_time: 0.0207 memory: 809 2022/08/11 15:07:47 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:13 time: 0.0848 data_time: 0.0223 memory: 809 2022/08/11 15:07:48 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:10 time: 0.0752 data_time: 0.0138 memory: 809 2022/08/11 15:07:50 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:08 time: 0.0697 data_time: 0.0094 memory: 809 2022/08/11 15:07:51 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:06 time: 0.0610 data_time: 0.0047 memory: 809 2022/08/11 15:07:52 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:04 time: 0.0555 data_time: 0.0029 memory: 809 2022/08/11 15:07:53 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:03 time: 0.0539 data_time: 0.0034 memory: 809 2022/08/11 15:07:54 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:02 time: 0.0529 data_time: 0.0028 memory: 809 2022/08/11 15:07:55 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:01 time: 0.0732 data_time: 0.0030 memory: 809 2022/08/11 15:07:57 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0523 data_time: 0.0026 memory: 809 2022/08/11 15:13:08 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.2652 2022/08/11 15:13:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2022/08/11 15:13:12 - mmengine - INFO - The best checkpoint with 0.2652 mAP/mAP@0.5IOU at 7 epoch is saved to best_mAP/mAP@0.5IOU_epoch_7.pth. 2022/08/11 15:13:22 - mmengine - INFO - Epoch(train) [7][20/3842] lr: 3.7427e-02 eta: 2:14:21 time: 0.5339 data_time: 0.0638 memory: 10484 grad_norm: 0.2408 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7500 recall@top3: 0.7262 prec@top3: 0.6667 recall@top5: 0.9405 prec@top5: 0.5571 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 15:13:33 - mmengine - INFO - Epoch(train) [7][40/3842] lr: 3.7351e-02 eta: 2:14:10 time: 0.5130 data_time: 0.0291 memory: 10484 grad_norm: 0.2421 recall@thr=0.5: 0.7786 prec@thr=0.5: 0.9643 recall@top3: 0.8774 prec@top3: 0.9524 recall@top5: 0.9524 prec@top5: 0.6429 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 15:13:43 - mmengine - INFO - Epoch(train) [7][60/3842] lr: 3.7274e-02 eta: 2:13:59 time: 0.4913 data_time: 0.0184 memory: 10484 grad_norm: 0.2534 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.7114 recall@top3: 0.7917 prec@top3: 0.6212 recall@top5: 0.9432 prec@top5: 0.4364 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 15:13:53 - mmengine - INFO - Epoch(train) [7][80/3842] lr: 3.7197e-02 eta: 2:13:49 time: 0.5181 data_time: 0.0214 memory: 10484 grad_norm: 0.2505 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.7969 recall@top3: 0.8125 prec@top3: 0.6667 recall@top5: 0.9635 prec@top5: 0.4875 loss_action_cls: 0.0555 loss: 0.0555 2022/08/11 15:14:03 - mmengine - INFO - Epoch(train) [7][100/3842] lr: 3.7121e-02 eta: 2:13:38 time: 0.4901 data_time: 0.0177 memory: 10484 grad_norm: 0.2563 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.6944 recall@top3: 0.7639 prec@top3: 0.5741 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 15:14:13 - mmengine - INFO - Epoch(train) [7][120/3842] lr: 3.7044e-02 eta: 2:13:27 time: 0.5247 data_time: 0.0166 memory: 10484 grad_norm: 0.2465 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.9091 recall@top3: 0.8788 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 15:14:23 - mmengine - INFO - Epoch(train) [7][140/3842] lr: 3.6967e-02 eta: 2:13:16 time: 0.4969 data_time: 0.0218 memory: 10484 grad_norm: 0.2379 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8704 recall@top3: 0.8333 prec@top3: 0.7593 recall@top5: 0.9444 prec@top5: 0.5222 loss_action_cls: 0.0539 loss: 0.0539 2022/08/11 15:14:34 - mmengine - INFO - Epoch(train) [7][160/3842] lr: 3.6891e-02 eta: 2:13:06 time: 0.5260 data_time: 0.0147 memory: 10484 grad_norm: 0.2579 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.7448 recall@top3: 0.7708 prec@top3: 0.6250 recall@top5: 0.9635 prec@top5: 0.4625 loss_action_cls: 0.0514 loss: 0.0514 2022/08/11 15:14:43 - mmengine - INFO - Epoch(train) [7][180/3842] lr: 3.6814e-02 eta: 2:12:55 time: 0.4889 data_time: 0.0172 memory: 10484 grad_norm: 0.2527 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8583 recall@top3: 0.8667 prec@top3: 0.7333 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 15:14:54 - mmengine - INFO - Epoch(train) [7][200/3842] lr: 3.6737e-02 eta: 2:12:44 time: 0.5143 data_time: 0.0154 memory: 10484 grad_norm: 0.2540 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7377 recall@top3: 0.7807 prec@top3: 0.6842 recall@top5: 0.8947 prec@top5: 0.4947 loss_action_cls: 0.0596 loss: 0.0596 2022/08/11 15:15:04 - mmengine - INFO - Epoch(train) [7][220/3842] lr: 3.6661e-02 eta: 2:12:34 time: 0.5127 data_time: 0.0170 memory: 10484 grad_norm: 0.2383 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6771 recall@top3: 0.7292 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.5000 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 15:15:14 - mmengine - INFO - Epoch(train) [7][240/3842] lr: 3.6584e-02 eta: 2:12:23 time: 0.5182 data_time: 0.0177 memory: 10484 grad_norm: 0.2489 recall@thr=0.5: 0.8220 prec@thr=0.5: 0.8909 recall@top3: 0.8083 prec@top3: 0.7879 recall@top5: 0.9545 prec@top5: 0.5909 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 15:15:25 - mmengine - INFO - Epoch(train) [7][260/3842] lr: 3.6507e-02 eta: 2:12:13 time: 0.5159 data_time: 0.0207 memory: 10484 grad_norm: 0.2479 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7857 recall@top3: 0.9762 prec@top3: 0.7381 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 15:15:35 - mmengine - INFO - Epoch(train) [7][280/3842] lr: 3.6431e-02 eta: 2:12:02 time: 0.5177 data_time: 0.0164 memory: 10484 grad_norm: 0.2481 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.8026 recall@top3: 0.7763 prec@top3: 0.7544 recall@top5: 0.8684 prec@top5: 0.5158 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 15:15:45 - mmengine - INFO - Epoch(train) [7][300/3842] lr: 3.6354e-02 eta: 2:11:51 time: 0.4906 data_time: 0.0171 memory: 10484 grad_norm: 0.2585 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7963 recall@top3: 0.8611 prec@top3: 0.8148 recall@top5: 0.9583 prec@top5: 0.5556 loss_action_cls: 0.0614 loss: 0.0614 2022/08/11 15:15:55 - mmengine - INFO - Epoch(train) [7][320/3842] lr: 3.6278e-02 eta: 2:11:40 time: 0.5182 data_time: 0.0136 memory: 10484 grad_norm: 0.2476 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.9048 recall@top3: 0.7905 prec@top3: 0.6825 recall@top5: 0.9905 prec@top5: 0.4952 loss_action_cls: 0.0559 loss: 0.0559 2022/08/11 15:16:05 - mmengine - INFO - Epoch(train) [7][340/3842] lr: 3.6201e-02 eta: 2:11:29 time: 0.4905 data_time: 0.0166 memory: 10484 grad_norm: 0.2504 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7143 recall@top3: 0.7976 prec@top3: 0.6667 recall@top5: 0.9405 prec@top5: 0.4714 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 15:16:15 - mmengine - INFO - Epoch(train) [7][360/3842] lr: 3.6124e-02 eta: 2:11:18 time: 0.4870 data_time: 0.0148 memory: 10484 grad_norm: 0.2431 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8281 recall@top3: 0.8542 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 15:16:25 - mmengine - INFO - Epoch(train) [7][380/3842] lr: 3.6048e-02 eta: 2:11:08 time: 0.5137 data_time: 0.0189 memory: 10484 grad_norm: 0.2407 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8167 recall@top3: 0.7583 prec@top3: 0.7500 recall@top5: 0.9500 prec@top5: 0.5400 loss_action_cls: 0.0520 loss: 0.0520 2022/08/11 15:16:35 - mmengine - INFO - Epoch(train) [7][400/3842] lr: 3.5971e-02 eta: 2:10:57 time: 0.4896 data_time: 0.0177 memory: 10484 grad_norm: 0.2563 recall@thr=0.5: 0.7618 prec@thr=0.5: 0.7812 recall@top3: 0.8521 prec@top3: 0.7222 recall@top5: 0.9694 prec@top5: 0.5250 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 15:16:45 - mmengine - INFO - Epoch(train) [7][420/3842] lr: 3.5894e-02 eta: 2:10:46 time: 0.5134 data_time: 0.0154 memory: 10484 grad_norm: 0.2537 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.8929 recall@top3: 0.8155 prec@top3: 0.6905 recall@top5: 0.9167 prec@top5: 0.4857 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 15:16:55 - mmengine - INFO - Epoch(train) [7][440/3842] lr: 3.5818e-02 eta: 2:10:35 time: 0.4913 data_time: 0.0223 memory: 10484 grad_norm: 0.2468 recall@thr=0.5: 0.9016 prec@thr=0.5: 0.8492 recall@top3: 0.8587 prec@top3: 0.8254 recall@top5: 0.9810 prec@top5: 0.5905 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 15:17:05 - mmengine - INFO - Epoch(train) [7][460/3842] lr: 3.5741e-02 eta: 2:10:25 time: 0.5200 data_time: 0.0240 memory: 10484 grad_norm: 0.2432 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9464 recall@top3: 0.9464 prec@top3: 0.9048 recall@top5: 1.0000 prec@top5: 0.5857 loss_action_cls: 0.0494 loss: 0.0494 2022/08/11 15:17:15 - mmengine - INFO - Epoch(train) [7][480/3842] lr: 3.5665e-02 eta: 2:10:14 time: 0.4938 data_time: 0.0181 memory: 10484 grad_norm: 0.2463 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.7411 recall@top3: 0.6964 prec@top3: 0.6548 recall@top5: 0.9226 prec@top5: 0.5429 loss_action_cls: 0.0469 loss: 0.0469 2022/08/11 15:17:25 - mmengine - INFO - Epoch(train) [7][500/3842] lr: 3.5588e-02 eta: 2:10:03 time: 0.5176 data_time: 0.0157 memory: 10484 grad_norm: 0.2666 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8137 recall@top3: 0.9020 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0459 loss: 0.0459 2022/08/11 15:17:35 - mmengine - INFO - Epoch(train) [7][520/3842] lr: 3.5512e-02 eta: 2:09:52 time: 0.4890 data_time: 0.0169 memory: 10484 grad_norm: 0.2581 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.8561 recall@top3: 0.9242 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4273 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 15:17:46 - mmengine - INFO - Epoch(train) [7][540/3842] lr: 3.5435e-02 eta: 2:09:42 time: 0.5228 data_time: 0.0168 memory: 10484 grad_norm: 0.2574 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8824 recall@top3: 0.8039 prec@top3: 0.8824 recall@top5: 1.0000 prec@top5: 0.6706 loss_action_cls: 0.0549 loss: 0.0549 2022/08/11 15:17:56 - mmengine - INFO - Epoch(train) [7][560/3842] lr: 3.5359e-02 eta: 2:09:31 time: 0.4968 data_time: 0.0246 memory: 10484 grad_norm: 0.2631 recall@thr=0.5: 0.7065 prec@thr=0.5: 0.7862 recall@top3: 0.8442 prec@top3: 0.7246 recall@top5: 0.9529 prec@top5: 0.5043 loss_action_cls: 0.0553 loss: 0.0553 2022/08/11 15:18:06 - mmengine - INFO - Epoch(train) [7][580/3842] lr: 3.5282e-02 eta: 2:09:20 time: 0.5127 data_time: 0.0143 memory: 10484 grad_norm: 0.2477 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7283 recall@top3: 0.7333 prec@top3: 0.7000 recall@top5: 0.8458 prec@top5: 0.4900 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 15:18:16 - mmengine - INFO - Epoch(train) [7][600/3842] lr: 3.5205e-02 eta: 2:09:09 time: 0.4913 data_time: 0.0192 memory: 10484 grad_norm: 0.2553 recall@thr=0.5: 0.6123 prec@thr=0.5: 0.8116 recall@top3: 0.7029 prec@top3: 0.6377 recall@top5: 0.9058 prec@top5: 0.4870 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 15:18:26 - mmengine - INFO - Epoch(train) [7][620/3842] lr: 3.5129e-02 eta: 2:08:58 time: 0.4943 data_time: 0.0141 memory: 10484 grad_norm: 0.2490 recall@thr=0.5: 0.7194 prec@thr=0.5: 0.8148 recall@top3: 0.7194 prec@top3: 0.5926 recall@top5: 0.8944 prec@top5: 0.4778 loss_action_cls: 0.0585 loss: 0.0585 2022/08/11 15:18:36 - mmengine - INFO - Epoch(train) [7][640/3842] lr: 3.5052e-02 eta: 2:08:48 time: 0.5246 data_time: 0.0183 memory: 10484 grad_norm: 0.2419 recall@thr=0.5: 0.9405 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 15:18:47 - mmengine - INFO - Epoch(train) [7][660/3842] lr: 3.4976e-02 eta: 2:08:38 time: 0.5515 data_time: 0.0184 memory: 10484 grad_norm: 0.2491 recall@thr=0.5: 0.8294 prec@thr=0.5: 0.8921 recall@top3: 0.7897 prec@top3: 0.8095 recall@top5: 0.9444 prec@top5: 0.6095 loss_action_cls: 0.0526 loss: 0.0526 2022/08/11 15:18:57 - mmengine - INFO - Epoch(train) [7][680/3842] lr: 3.4900e-02 eta: 2:08:27 time: 0.5136 data_time: 0.0181 memory: 10484 grad_norm: 0.2668 recall@thr=0.5: 0.7696 prec@thr=0.5: 0.8235 recall@top3: 0.8284 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.4118 loss_action_cls: 0.0514 loss: 0.0514 2022/08/11 15:19:08 - mmengine - INFO - Epoch(train) [7][700/3842] lr: 3.4823e-02 eta: 2:08:17 time: 0.5152 data_time: 0.0174 memory: 10484 grad_norm: 0.2421 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7500 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.7969 prec@top5: 0.3750 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 15:19:18 - mmengine - INFO - Epoch(train) [7][720/3842] lr: 3.4747e-02 eta: 2:08:06 time: 0.5055 data_time: 0.0175 memory: 10484 grad_norm: 0.2465 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8235 recall@top3: 0.8529 prec@top3: 0.5882 recall@top5: 0.8529 prec@top5: 0.3529 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 15:19:28 - mmengine - INFO - Epoch(train) [7][740/3842] lr: 3.4670e-02 eta: 2:07:55 time: 0.5187 data_time: 0.0228 memory: 10484 grad_norm: 0.2490 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9306 recall@top3: 0.8750 prec@top3: 0.7222 recall@top5: 0.9375 prec@top5: 0.4833 loss_action_cls: 0.0525 loss: 0.0525 2022/08/11 15:19:39 - mmengine - INFO - Epoch(train) [7][760/3842] lr: 3.4594e-02 eta: 2:07:45 time: 0.5185 data_time: 0.0212 memory: 10484 grad_norm: 0.2468 recall@thr=0.5: 0.8778 prec@thr=0.5: 0.8500 recall@top3: 0.9056 prec@top3: 0.8000 recall@top5: 1.0000 prec@top5: 0.5467 loss_action_cls: 0.0554 loss: 0.0554 2022/08/11 15:19:48 - mmengine - INFO - Epoch(train) [7][780/3842] lr: 3.4517e-02 eta: 2:07:34 time: 0.4886 data_time: 0.0173 memory: 10484 grad_norm: 0.2517 recall@thr=0.5: 0.4853 prec@thr=0.5: 0.6765 recall@top3: 0.5882 prec@top3: 0.6078 recall@top5: 0.7843 prec@top5: 0.4941 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 15:19:59 - mmengine - INFO - Epoch(train) [7][800/3842] lr: 3.4441e-02 eta: 2:07:23 time: 0.5273 data_time: 0.0148 memory: 10484 grad_norm: 0.2505 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.6818 recall@top3: 0.8636 prec@top3: 0.6667 recall@top5: 0.9394 prec@top5: 0.4545 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 15:20:09 - mmengine - INFO - Epoch(train) [7][820/3842] lr: 3.4364e-02 eta: 2:07:12 time: 0.4920 data_time: 0.0222 memory: 10484 grad_norm: 0.2493 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8333 recall@top3: 0.8056 prec@top3: 0.8056 recall@top5: 0.9583 prec@top5: 0.5833 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 15:20:19 - mmengine - INFO - Epoch(train) [7][840/3842] lr: 3.4288e-02 eta: 2:07:02 time: 0.5130 data_time: 0.0149 memory: 10484 grad_norm: 0.2518 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8667 recall@top3: 0.8333 prec@top3: 0.7000 recall@top5: 0.9333 prec@top5: 0.4600 loss_action_cls: 0.0591 loss: 0.0591 2022/08/11 15:20:29 - mmengine - INFO - Epoch(train) [7][860/3842] lr: 3.4212e-02 eta: 2:06:51 time: 0.4893 data_time: 0.0181 memory: 10484 grad_norm: 0.2377 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8175 recall@top3: 0.7500 prec@top3: 0.7667 recall@top5: 0.9083 prec@top5: 0.5800 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 15:20:39 - mmengine - INFO - Epoch(train) [7][880/3842] lr: 3.4135e-02 eta: 2:06:40 time: 0.5132 data_time: 0.0159 memory: 10484 grad_norm: 0.2540 recall@thr=0.5: 0.7927 prec@thr=0.5: 0.9271 recall@top3: 0.8052 prec@top3: 0.7917 recall@top5: 0.9052 prec@top5: 0.5625 loss_action_cls: 0.0486 loss: 0.0486 2022/08/11 15:20:49 - mmengine - INFO - Epoch(train) [7][900/3842] lr: 3.4059e-02 eta: 2:06:29 time: 0.4899 data_time: 0.0188 memory: 10484 grad_norm: 0.2561 recall@thr=0.5: 0.8552 prec@thr=0.5: 0.9167 recall@top3: 0.9031 prec@top3: 0.8750 recall@top5: 0.9688 prec@top5: 0.5875 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 15:20:59 - mmengine - INFO - Epoch(train) [7][920/3842] lr: 3.3983e-02 eta: 2:06:19 time: 0.5137 data_time: 0.0163 memory: 10484 grad_norm: 0.2407 recall@thr=0.5: 0.7474 prec@thr=0.5: 0.8177 recall@top3: 0.8464 prec@top3: 0.7812 recall@top5: 0.9688 prec@top5: 0.5437 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 15:21:09 - mmengine - INFO - Epoch(train) [7][940/3842] lr: 3.3906e-02 eta: 2:06:08 time: 0.4898 data_time: 0.0188 memory: 10484 grad_norm: 0.2537 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7745 recall@top3: 0.7892 prec@top3: 0.7255 recall@top5: 0.9363 prec@top5: 0.5294 loss_action_cls: 0.0617 loss: 0.0617 2022/08/11 15:21:13 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 15:21:19 - mmengine - INFO - Epoch(train) [7][960/3842] lr: 3.3830e-02 eta: 2:05:57 time: 0.5017 data_time: 0.0162 memory: 10484 grad_norm: 0.2598 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.6061 recall@top3: 0.7879 prec@top3: 0.3636 recall@top5: 0.8333 prec@top5: 0.2364 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 15:21:29 - mmengine - INFO - Epoch(train) [7][980/3842] lr: 3.3754e-02 eta: 2:05:46 time: 0.4934 data_time: 0.0228 memory: 10484 grad_norm: 0.2552 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8393 recall@top3: 0.8155 prec@top3: 0.6190 recall@top5: 0.9345 prec@top5: 0.4429 loss_action_cls: 0.0568 loss: 0.0568 2022/08/11 15:21:39 - mmengine - INFO - Epoch(train) [7][1000/3842] lr: 3.3678e-02 eta: 2:05:36 time: 0.5176 data_time: 0.0149 memory: 10484 grad_norm: 0.2461 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8214 recall@top3: 0.8690 prec@top3: 0.6905 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0573 loss: 0.0573 2022/08/11 15:21:49 - mmengine - INFO - Epoch(train) [7][1020/3842] lr: 3.3601e-02 eta: 2:05:25 time: 0.4915 data_time: 0.0189 memory: 10484 grad_norm: 0.2616 recall@thr=0.5: 0.7702 prec@thr=0.5: 0.9211 recall@top3: 0.8000 prec@top3: 0.7018 recall@top5: 0.9035 prec@top5: 0.4947 loss_action_cls: 0.0502 loss: 0.0502 2022/08/11 15:21:59 - mmengine - INFO - Epoch(train) [7][1040/3842] lr: 3.3525e-02 eta: 2:05:14 time: 0.5210 data_time: 0.0153 memory: 10484 grad_norm: 0.2404 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9687 recall@top3: 0.9062 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 15:22:09 - mmengine - INFO - Epoch(train) [7][1060/3842] lr: 3.3449e-02 eta: 2:05:03 time: 0.4894 data_time: 0.0169 memory: 10484 grad_norm: 0.2501 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8860 recall@top3: 0.8465 prec@top3: 0.7719 recall@top5: 0.9298 prec@top5: 0.5158 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 15:22:20 - mmengine - INFO - Epoch(train) [7][1080/3842] lr: 3.3373e-02 eta: 2:04:53 time: 0.5284 data_time: 0.0202 memory: 10484 grad_norm: 0.2565 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.6488 recall@top3: 0.8214 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0490 loss: 0.0490 2022/08/11 15:22:30 - mmengine - INFO - Epoch(train) [7][1100/3842] lr: 3.3296e-02 eta: 2:04:42 time: 0.4891 data_time: 0.0164 memory: 10484 grad_norm: 0.2574 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8125 recall@top3: 0.8167 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5300 loss_action_cls: 0.0554 loss: 0.0554 2022/08/11 15:22:40 - mmengine - INFO - Epoch(train) [7][1120/3842] lr: 3.3220e-02 eta: 2:04:31 time: 0.5207 data_time: 0.0197 memory: 10484 grad_norm: 0.2637 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7821 recall@top3: 0.7718 prec@top3: 0.7436 recall@top5: 0.9231 prec@top5: 0.5538 loss_action_cls: 0.0581 loss: 0.0581 2022/08/11 15:22:50 - mmengine - INFO - Epoch(train) [7][1140/3842] lr: 3.3144e-02 eta: 2:04:21 time: 0.4929 data_time: 0.0178 memory: 10484 grad_norm: 0.2600 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.6905 recall@top3: 0.9286 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0514 loss: 0.0514 2022/08/11 15:23:00 - mmengine - INFO - Epoch(train) [7][1160/3842] lr: 3.3068e-02 eta: 2:04:10 time: 0.5191 data_time: 0.0158 memory: 10484 grad_norm: 0.2574 recall@thr=0.5: 0.7258 prec@thr=0.5: 0.7667 recall@top3: 0.7675 prec@top3: 0.6333 recall@top5: 0.8067 prec@top5: 0.4100 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 15:23:10 - mmengine - INFO - Epoch(train) [7][1180/3842] lr: 3.2992e-02 eta: 2:03:59 time: 0.5128 data_time: 0.0167 memory: 10484 grad_norm: 0.2523 recall@thr=0.5: 0.5069 prec@thr=0.5: 0.5903 recall@top3: 0.6111 prec@top3: 0.4444 recall@top5: 0.8750 prec@top5: 0.3833 loss_action_cls: 0.0579 loss: 0.0579 2022/08/11 15:23:20 - mmengine - INFO - Epoch(train) [7][1200/3842] lr: 3.2916e-02 eta: 2:03:49 time: 0.4974 data_time: 0.0186 memory: 10484 grad_norm: 0.2426 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.7572 recall@top3: 0.6993 prec@top3: 0.6087 recall@top5: 0.8804 prec@top5: 0.4870 loss_action_cls: 0.0525 loss: 0.0525 2022/08/11 15:23:31 - mmengine - INFO - Epoch(train) [7][1220/3842] lr: 3.2840e-02 eta: 2:03:38 time: 0.5132 data_time: 0.0138 memory: 10484 grad_norm: 0.2409 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.9123 recall@top3: 0.8684 prec@top3: 0.7719 recall@top5: 0.9561 prec@top5: 0.5263 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 15:23:41 - mmengine - INFO - Epoch(train) [7][1240/3842] lr: 3.2764e-02 eta: 2:03:27 time: 0.4930 data_time: 0.0178 memory: 10484 grad_norm: 0.2475 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8929 recall@top3: 0.9524 prec@top3: 0.6905 recall@top5: 0.9524 prec@top5: 0.4143 loss_action_cls: 0.0577 loss: 0.0577 2022/08/11 15:23:51 - mmengine - INFO - Epoch(train) [7][1260/3842] lr: 3.2688e-02 eta: 2:03:16 time: 0.5116 data_time: 0.0144 memory: 10484 grad_norm: 0.3223 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8030 recall@top3: 0.7500 prec@top3: 0.6364 recall@top5: 0.9015 prec@top5: 0.4727 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 15:24:01 - mmengine - INFO - Epoch(train) [7][1280/3842] lr: 3.2612e-02 eta: 2:03:06 time: 0.4923 data_time: 0.0179 memory: 10484 grad_norm: 0.2673 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8833 recall@top3: 0.8833 prec@top3: 0.7833 recall@top5: 0.9542 prec@top5: 0.5200 loss_action_cls: 0.0497 loss: 0.0497 2022/08/11 15:24:11 - mmengine - INFO - Epoch(train) [7][1300/3842] lr: 3.2536e-02 eta: 2:02:55 time: 0.5097 data_time: 0.0161 memory: 10484 grad_norm: 0.2464 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8684 recall@top3: 0.7895 prec@top3: 0.6140 recall@top5: 0.9035 prec@top5: 0.4211 loss_action_cls: 0.0572 loss: 0.0572 2022/08/11 15:24:21 - mmengine - INFO - Epoch(train) [7][1320/3842] lr: 3.2460e-02 eta: 2:02:44 time: 0.4889 data_time: 0.0179 memory: 10484 grad_norm: 0.2580 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9048 recall@top3: 0.8571 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.5286 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 15:24:31 - mmengine - INFO - Epoch(train) [7][1340/3842] lr: 3.2384e-02 eta: 2:02:33 time: 0.5062 data_time: 0.0137 memory: 10484 grad_norm: 0.2568 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.8095 recall@top3: 0.8155 prec@top3: 0.6667 recall@top5: 0.8929 prec@top5: 0.4571 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 15:24:41 - mmengine - INFO - Epoch(train) [7][1360/3842] lr: 3.2308e-02 eta: 2:02:22 time: 0.4912 data_time: 0.0191 memory: 10484 grad_norm: 0.2575 recall@thr=0.5: 0.8509 prec@thr=0.5: 0.6842 recall@top3: 0.8421 prec@top3: 0.5789 recall@top5: 0.9079 prec@top5: 0.3895 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 15:24:51 - mmengine - INFO - Epoch(train) [7][1380/3842] lr: 3.2232e-02 eta: 2:02:12 time: 0.5117 data_time: 0.0129 memory: 10484 grad_norm: 0.2406 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6250 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.4125 loss_action_cls: 0.0459 loss: 0.0459 2022/08/11 15:25:01 - mmengine - INFO - Epoch(train) [7][1400/3842] lr: 3.2156e-02 eta: 2:02:01 time: 0.4906 data_time: 0.0185 memory: 10484 grad_norm: 0.2600 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7731 recall@top3: 0.6759 prec@top3: 0.7778 recall@top5: 0.8935 prec@top5: 0.6222 loss_action_cls: 0.0593 loss: 0.0593 2022/08/11 15:25:11 - mmengine - INFO - Epoch(train) [7][1420/3842] lr: 3.2080e-02 eta: 2:01:50 time: 0.5226 data_time: 0.0149 memory: 10484 grad_norm: 0.2514 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.6810 recall@top3: 0.7500 prec@top3: 0.5238 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0597 loss: 0.0597 2022/08/11 15:25:22 - mmengine - INFO - Epoch(train) [7][1440/3842] lr: 3.2004e-02 eta: 2:01:40 time: 0.5218 data_time: 0.0173 memory: 10484 grad_norm: 0.2535 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8009 recall@top3: 0.8056 prec@top3: 0.7407 recall@top5: 0.9074 prec@top5: 0.5000 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 15:25:31 - mmengine - INFO - Epoch(train) [7][1460/3842] lr: 3.1928e-02 eta: 2:01:29 time: 0.4910 data_time: 0.0169 memory: 10484 grad_norm: 0.2597 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7560 recall@top3: 0.9048 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 15:25:42 - mmengine - INFO - Epoch(train) [7][1480/3842] lr: 3.1853e-02 eta: 2:01:19 time: 0.5301 data_time: 0.0208 memory: 10484 grad_norm: 0.2478 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8214 recall@top3: 0.7262 prec@top3: 0.7381 recall@top5: 0.8274 prec@top5: 0.5000 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 15:25:53 - mmengine - INFO - Epoch(train) [7][1500/3842] lr: 3.1777e-02 eta: 2:01:08 time: 0.5408 data_time: 0.0174 memory: 10484 grad_norm: 0.2517 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9417 recall@top3: 0.9000 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 15:26:03 - mmengine - INFO - Epoch(train) [7][1520/3842] lr: 3.1701e-02 eta: 2:00:58 time: 0.4994 data_time: 0.0218 memory: 10484 grad_norm: 0.2558 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.7704 recall@top3: 0.7130 prec@top3: 0.7593 recall@top5: 0.8704 prec@top5: 0.5556 loss_action_cls: 0.0576 loss: 0.0576 2022/08/11 15:26:13 - mmengine - INFO - Epoch(train) [7][1540/3842] lr: 3.1625e-02 eta: 2:00:47 time: 0.5123 data_time: 0.0145 memory: 10484 grad_norm: 0.2495 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7564 recall@top3: 0.7949 prec@top3: 0.6667 recall@top5: 0.8974 prec@top5: 0.4615 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 15:26:23 - mmengine - INFO - Epoch(train) [7][1560/3842] lr: 3.1550e-02 eta: 2:00:36 time: 0.4917 data_time: 0.0181 memory: 10484 grad_norm: 0.2539 recall@thr=0.5: 0.8512 prec@thr=0.5: 0.8988 recall@top3: 0.8333 prec@top3: 0.8333 recall@top5: 0.9821 prec@top5: 0.6000 loss_action_cls: 0.0472 loss: 0.0472 2022/08/11 15:26:33 - mmengine - INFO - Epoch(train) [7][1580/3842] lr: 3.1474e-02 eta: 2:00:26 time: 0.5139 data_time: 0.0168 memory: 10484 grad_norm: 0.2529 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7273 recall@top3: 0.8182 prec@top3: 0.4545 recall@top5: 1.0000 prec@top5: 0.3091 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 15:26:44 - mmengine - INFO - Epoch(train) [7][1600/3842] lr: 3.1398e-02 eta: 2:00:15 time: 0.5309 data_time: 0.0187 memory: 10484 grad_norm: 0.2576 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6190 recall@top3: 0.5595 prec@top3: 0.5476 recall@top5: 0.8333 prec@top5: 0.4429 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 15:26:54 - mmengine - INFO - Epoch(train) [7][1620/3842] lr: 3.1323e-02 eta: 2:00:04 time: 0.4957 data_time: 0.0247 memory: 10484 grad_norm: 0.2591 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7556 recall@top3: 0.9333 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.3600 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 15:27:04 - mmengine - INFO - Epoch(train) [7][1640/3842] lr: 3.1247e-02 eta: 1:59:54 time: 0.5262 data_time: 0.0148 memory: 10484 grad_norm: 0.2676 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.7436 recall@top3: 0.7885 prec@top3: 0.6410 recall@top5: 0.9423 prec@top5: 0.4769 loss_action_cls: 0.0548 loss: 0.0548 2022/08/11 15:27:14 - mmengine - INFO - Epoch(train) [7][1660/3842] lr: 3.1172e-02 eta: 1:59:43 time: 0.4906 data_time: 0.0178 memory: 10484 grad_norm: 0.2637 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.9545 recall@top3: 0.8561 prec@top3: 0.6061 recall@top5: 0.9091 prec@top5: 0.4000 loss_action_cls: 0.0454 loss: 0.0454 2022/08/11 15:27:24 - mmengine - INFO - Epoch(train) [7][1680/3842] lr: 3.1096e-02 eta: 1:59:32 time: 0.5148 data_time: 0.0166 memory: 10484 grad_norm: 0.2516 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8250 recall@top3: 0.7375 prec@top3: 0.7333 recall@top5: 0.9583 prec@top5: 0.5700 loss_action_cls: 0.0517 loss: 0.0517 2022/08/11 15:27:34 - mmengine - INFO - Epoch(train) [7][1700/3842] lr: 3.1020e-02 eta: 1:59:22 time: 0.4881 data_time: 0.0177 memory: 10484 grad_norm: 0.2550 recall@thr=0.5: 0.6177 prec@thr=0.5: 0.8750 recall@top3: 0.7833 prec@top3: 0.7708 recall@top5: 0.9219 prec@top5: 0.5750 loss_action_cls: 0.0539 loss: 0.0539 2022/08/11 15:27:44 - mmengine - INFO - Epoch(train) [7][1720/3842] lr: 3.0945e-02 eta: 1:59:11 time: 0.5183 data_time: 0.0161 memory: 10484 grad_norm: 0.2499 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.9079 recall@top3: 0.9605 prec@top3: 0.7193 recall@top5: 0.9737 prec@top5: 0.4421 loss_action_cls: 0.0592 loss: 0.0592 2022/08/11 15:27:54 - mmengine - INFO - Epoch(train) [7][1740/3842] lr: 3.0870e-02 eta: 1:59:00 time: 0.4898 data_time: 0.0177 memory: 10484 grad_norm: 0.2456 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8333 recall@top3: 0.8438 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0485 loss: 0.0485 2022/08/11 15:28:05 - mmengine - INFO - Epoch(train) [7][1760/3842] lr: 3.0794e-02 eta: 1:58:50 time: 0.5218 data_time: 0.0172 memory: 10484 grad_norm: 0.2560 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8750 recall@top3: 0.8929 prec@top3: 0.7381 recall@top5: 0.9643 prec@top5: 0.5000 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 15:28:14 - mmengine - INFO - Epoch(train) [7][1780/3842] lr: 3.0719e-02 eta: 1:58:39 time: 0.4920 data_time: 0.0177 memory: 10484 grad_norm: 0.2581 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.9605 recall@top3: 0.8377 prec@top3: 0.7544 recall@top5: 0.9474 prec@top5: 0.5158 loss_action_cls: 0.0632 loss: 0.0632 2022/08/11 15:28:25 - mmengine - INFO - Epoch(train) [7][1800/3842] lr: 3.0643e-02 eta: 1:58:28 time: 0.5263 data_time: 0.0157 memory: 10484 grad_norm: 0.2451 recall@thr=0.5: 0.7230 prec@thr=0.5: 0.9286 recall@top3: 0.7952 prec@top3: 0.7778 recall@top5: 0.9881 prec@top5: 0.5905 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 15:28:35 - mmengine - INFO - Epoch(train) [7][1820/3842] lr: 3.0568e-02 eta: 1:58:18 time: 0.4939 data_time: 0.0219 memory: 10484 grad_norm: 0.2467 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7889 recall@top3: 0.7444 prec@top3: 0.6444 recall@top5: 0.9111 prec@top5: 0.4800 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 15:28:45 - mmengine - INFO - Epoch(train) [7][1840/3842] lr: 3.0493e-02 eta: 1:58:07 time: 0.5143 data_time: 0.0154 memory: 10484 grad_norm: 0.2491 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7311 recall@top3: 0.8333 prec@top3: 0.6970 recall@top5: 0.9015 prec@top5: 0.4545 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 15:28:55 - mmengine - INFO - Epoch(train) [7][1860/3842] lr: 3.0417e-02 eta: 1:57:56 time: 0.4960 data_time: 0.0172 memory: 10484 grad_norm: 0.2509 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8452 recall@top3: 0.8095 prec@top3: 0.7143 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0532 loss: 0.0532 2022/08/11 15:29:06 - mmengine - INFO - Epoch(train) [7][1880/3842] lr: 3.0342e-02 eta: 1:57:46 time: 0.5218 data_time: 0.0188 memory: 10484 grad_norm: 0.2597 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8000 recall@top3: 0.8500 prec@top3: 0.5778 recall@top5: 0.9000 prec@top5: 0.3733 loss_action_cls: 0.0491 loss: 0.0491 2022/08/11 15:29:16 - mmengine - INFO - Epoch(train) [7][1900/3842] lr: 3.0267e-02 eta: 1:57:35 time: 0.5171 data_time: 0.0171 memory: 10484 grad_norm: 0.2556 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8444 recall@top3: 0.8778 prec@top3: 0.7333 recall@top5: 0.9000 prec@top5: 0.4533 loss_action_cls: 0.0547 loss: 0.0547 2022/08/11 15:29:28 - mmengine - INFO - Epoch(train) [7][1920/3842] lr: 3.0192e-02 eta: 1:57:26 time: 0.6065 data_time: 0.0181 memory: 10484 grad_norm: 0.2501 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.8712 recall@top3: 0.8447 prec@top3: 0.7121 recall@top5: 0.9242 prec@top5: 0.4818 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 15:29:38 - mmengine - INFO - Epoch(train) [7][1940/3842] lr: 3.0116e-02 eta: 1:57:15 time: 0.5214 data_time: 0.0230 memory: 10484 grad_norm: 0.2629 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.8627 recall@top3: 0.8235 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 15:29:42 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 15:29:48 - mmengine - INFO - Epoch(train) [7][1960/3842] lr: 3.0041e-02 eta: 1:57:04 time: 0.4980 data_time: 0.0196 memory: 10484 grad_norm: 0.2574 recall@thr=0.5: 0.7901 prec@thr=0.5: 0.7241 recall@top3: 0.8025 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5185 loss_action_cls: 0.0568 loss: 0.0568 2022/08/11 15:29:59 - mmengine - INFO - Epoch(train) [7][1980/3842] lr: 2.9966e-02 eta: 1:56:54 time: 0.5321 data_time: 0.0157 memory: 10484 grad_norm: 0.2521 recall@thr=0.5: 0.6551 prec@thr=0.5: 0.6603 recall@top3: 0.7962 prec@top3: 0.6795 recall@top5: 0.9231 prec@top5: 0.4846 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 15:30:10 - mmengine - INFO - Epoch(train) [7][2000/3842] lr: 2.9891e-02 eta: 1:56:44 time: 0.5311 data_time: 0.0346 memory: 10484 grad_norm: 0.2651 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8542 recall@top3: 0.7292 prec@top3: 0.6458 recall@top5: 0.8542 prec@top5: 0.4625 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 15:30:20 - mmengine - INFO - Epoch(train) [7][2020/3842] lr: 2.9816e-02 eta: 1:56:33 time: 0.4911 data_time: 0.0176 memory: 10484 grad_norm: 0.2509 recall@thr=0.5: 0.6877 prec@thr=0.5: 0.8123 recall@top3: 0.7596 prec@top3: 0.6491 recall@top5: 0.9509 prec@top5: 0.5158 loss_action_cls: 0.0512 loss: 0.0512 2022/08/11 15:30:30 - mmengine - INFO - Epoch(train) [7][2040/3842] lr: 2.9741e-02 eta: 1:56:22 time: 0.5108 data_time: 0.0185 memory: 10484 grad_norm: 0.2644 recall@thr=0.5: 0.4951 prec@thr=0.5: 0.6569 recall@top3: 0.7206 prec@top3: 0.6078 recall@top5: 0.8284 prec@top5: 0.4353 loss_action_cls: 0.0575 loss: 0.0575 2022/08/11 15:30:40 - mmengine - INFO - Epoch(train) [7][2060/3842] lr: 2.9666e-02 eta: 1:56:11 time: 0.4948 data_time: 0.0177 memory: 10484 grad_norm: 0.2475 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.8039 recall@top3: 0.9706 prec@top3: 0.5294 recall@top5: 1.0000 prec@top5: 0.3294 loss_action_cls: 0.0544 loss: 0.0544 2022/08/11 15:30:50 - mmengine - INFO - Epoch(train) [7][2080/3842] lr: 2.9591e-02 eta: 1:56:01 time: 0.5140 data_time: 0.0170 memory: 10484 grad_norm: 0.2665 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8111 recall@top3: 0.8889 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0425 loss: 0.0425 2022/08/11 15:31:00 - mmengine - INFO - Epoch(train) [7][2100/3842] lr: 2.9516e-02 eta: 1:55:50 time: 0.4927 data_time: 0.0204 memory: 10484 grad_norm: 0.2564 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.8452 recall@top3: 0.8036 prec@top3: 0.7143 recall@top5: 0.9583 prec@top5: 0.5143 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 15:31:10 - mmengine - INFO - Epoch(train) [7][2120/3842] lr: 2.9441e-02 eta: 1:55:39 time: 0.5137 data_time: 0.0171 memory: 10484 grad_norm: 0.2502 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7353 recall@top3: 0.6667 prec@top3: 0.3725 recall@top5: 0.8431 prec@top5: 0.2941 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 15:31:20 - mmengine - INFO - Epoch(train) [7][2140/3842] lr: 2.9366e-02 eta: 1:55:29 time: 0.4894 data_time: 0.0173 memory: 10484 grad_norm: 0.2453 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.9048 recall@top3: 0.9762 prec@top3: 0.6905 recall@top5: 0.9762 prec@top5: 0.4143 loss_action_cls: 0.0489 loss: 0.0489 2022/08/11 15:31:30 - mmengine - INFO - Epoch(train) [7][2160/3842] lr: 2.9292e-02 eta: 1:55:18 time: 0.5140 data_time: 0.0161 memory: 10484 grad_norm: 0.2496 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.6961 recall@top3: 0.6765 prec@top3: 0.4510 recall@top5: 0.8235 prec@top5: 0.3059 loss_action_cls: 0.0478 loss: 0.0478 2022/08/11 15:31:40 - mmengine - INFO - Epoch(train) [7][2180/3842] lr: 2.9217e-02 eta: 1:55:07 time: 0.4923 data_time: 0.0171 memory: 10484 grad_norm: 0.2573 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.7917 recall@top3: 0.8958 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0491 loss: 0.0491 2022/08/11 15:31:50 - mmengine - INFO - Epoch(train) [7][2200/3842] lr: 2.9142e-02 eta: 1:54:57 time: 0.5181 data_time: 0.0171 memory: 10484 grad_norm: 0.2544 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8229 recall@top3: 0.7969 prec@top3: 0.6042 recall@top5: 0.8750 prec@top5: 0.4125 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 15:32:01 - mmengine - INFO - Epoch(train) [7][2220/3842] lr: 2.9067e-02 eta: 1:54:46 time: 0.5133 data_time: 0.0162 memory: 10484 grad_norm: 0.2579 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8281 recall@top3: 0.7188 prec@top3: 0.6458 recall@top5: 0.9531 prec@top5: 0.5375 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 15:32:10 - mmengine - INFO - Epoch(train) [7][2240/3842] lr: 2.8993e-02 eta: 1:54:35 time: 0.4933 data_time: 0.0193 memory: 10484 grad_norm: 0.2580 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8068 recall@top3: 0.7652 prec@top3: 0.7424 recall@top5: 0.8902 prec@top5: 0.5364 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 15:32:21 - mmengine - INFO - Epoch(train) [7][2260/3842] lr: 2.8918e-02 eta: 1:54:25 time: 0.5168 data_time: 0.0126 memory: 10484 grad_norm: 0.2524 recall@thr=0.5: 0.9697 prec@thr=0.5: 0.9697 recall@top3: 0.9697 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0532 loss: 0.0532 2022/08/11 15:32:31 - mmengine - INFO - Epoch(train) [7][2280/3842] lr: 2.8843e-02 eta: 1:54:14 time: 0.5064 data_time: 0.0191 memory: 10484 grad_norm: 0.2570 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.8854 recall@top3: 0.8750 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0565 loss: 0.0565 2022/08/11 15:32:41 - mmengine - INFO - Epoch(train) [7][2300/3842] lr: 2.8769e-02 eta: 1:54:03 time: 0.5156 data_time: 0.0163 memory: 10484 grad_norm: 0.2659 recall@thr=0.5: 0.7939 prec@thr=0.5: 0.9035 recall@top3: 0.8070 prec@top3: 0.8596 recall@top5: 0.9035 prec@top5: 0.5895 loss_action_cls: 0.0580 loss: 0.0580 2022/08/11 15:32:52 - mmengine - INFO - Epoch(train) [7][2320/3842] lr: 2.8694e-02 eta: 1:53:53 time: 0.5467 data_time: 0.0199 memory: 10484 grad_norm: 0.2514 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7157 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 15:33:03 - mmengine - INFO - Epoch(train) [7][2340/3842] lr: 2.8620e-02 eta: 1:53:43 time: 0.5180 data_time: 0.0175 memory: 10484 grad_norm: 0.2479 recall@thr=0.5: 0.7951 prec@thr=0.5: 0.8681 recall@top3: 0.8229 prec@top3: 0.7917 recall@top5: 0.9618 prec@top5: 0.5667 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 15:33:13 - mmengine - INFO - Epoch(train) [7][2360/3842] lr: 2.8545e-02 eta: 1:53:32 time: 0.5217 data_time: 0.0175 memory: 10484 grad_norm: 0.2552 recall@thr=0.5: 0.7892 prec@thr=0.5: 0.9020 recall@top3: 0.8382 prec@top3: 0.7059 recall@top5: 0.9118 prec@top5: 0.4588 loss_action_cls: 0.0552 loss: 0.0552 2022/08/11 15:33:23 - mmengine - INFO - Epoch(train) [7][2380/3842] lr: 2.8471e-02 eta: 1:53:22 time: 0.5189 data_time: 0.0196 memory: 10484 grad_norm: 0.2553 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7647 recall@top3: 0.7059 prec@top3: 0.5686 recall@top5: 0.8529 prec@top5: 0.4118 loss_action_cls: 0.0506 loss: 0.0506 2022/08/11 15:33:33 - mmengine - INFO - Epoch(train) [7][2400/3842] lr: 2.8397e-02 eta: 1:53:11 time: 0.4934 data_time: 0.0169 memory: 10484 grad_norm: 0.2601 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.7750 recall@top3: 0.8500 prec@top3: 0.7167 recall@top5: 0.9667 prec@top5: 0.5000 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 15:33:43 - mmengine - INFO - Epoch(train) [7][2420/3842] lr: 2.8322e-02 eta: 1:53:00 time: 0.4922 data_time: 0.0161 memory: 10484 grad_norm: 0.2620 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.8572 recall@top3: 0.7174 prec@top3: 0.7826 recall@top5: 0.8696 prec@top5: 0.5826 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 15:33:55 - mmengine - INFO - Epoch(train) [7][2440/3842] lr: 2.8248e-02 eta: 1:52:50 time: 0.5717 data_time: 0.0163 memory: 10484 grad_norm: 0.2626 recall@thr=0.5: 0.8461 prec@thr=0.5: 0.9853 recall@top3: 0.8775 prec@top3: 0.9216 recall@top5: 0.9618 prec@top5: 0.6235 loss_action_cls: 0.0519 loss: 0.0519 2022/08/11 15:34:05 - mmengine - INFO - Epoch(train) [7][2460/3842] lr: 2.8174e-02 eta: 1:52:40 time: 0.5209 data_time: 0.0190 memory: 10484 grad_norm: 0.2550 recall@thr=0.5: 0.8173 prec@thr=0.5: 0.8494 recall@top3: 0.8718 prec@top3: 0.7051 recall@top5: 0.9776 prec@top5: 0.4846 loss_action_cls: 0.0546 loss: 0.0546 2022/08/11 15:34:15 - mmengine - INFO - Epoch(train) [7][2480/3842] lr: 2.8099e-02 eta: 1:52:29 time: 0.4900 data_time: 0.0173 memory: 10484 grad_norm: 0.2456 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8731 recall@top3: 0.8935 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 15:34:25 - mmengine - INFO - Epoch(train) [7][2500/3842] lr: 2.8025e-02 eta: 1:52:18 time: 0.5116 data_time: 0.0155 memory: 10484 grad_norm: 0.2565 recall@thr=0.5: 0.8113 prec@thr=0.5: 0.8200 recall@top3: 0.8327 prec@top3: 0.7467 recall@top5: 0.9840 prec@top5: 0.5600 loss_action_cls: 0.0552 loss: 0.0552 2022/08/11 15:34:35 - mmengine - INFO - Epoch(train) [7][2520/3842] lr: 2.7951e-02 eta: 1:52:07 time: 0.4946 data_time: 0.0176 memory: 10484 grad_norm: 0.2544 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.8981 recall@top3: 0.7824 prec@top3: 0.7963 recall@top5: 0.9259 prec@top5: 0.5778 loss_action_cls: 0.0619 loss: 0.0619 2022/08/11 15:34:45 - mmengine - INFO - Epoch(train) [7][2540/3842] lr: 2.7877e-02 eta: 1:51:57 time: 0.5212 data_time: 0.0134 memory: 10484 grad_norm: 0.2500 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8750 recall@top3: 0.8604 prec@top3: 0.7708 recall@top5: 0.9688 prec@top5: 0.5375 loss_action_cls: 0.0499 loss: 0.0499 2022/08/11 15:34:55 - mmengine - INFO - Epoch(train) [7][2560/3842] lr: 2.7803e-02 eta: 1:51:46 time: 0.4980 data_time: 0.0226 memory: 10484 grad_norm: 0.2653 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.9744 recall@top3: 0.8590 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 15:35:06 - mmengine - INFO - Epoch(train) [7][2580/3842] lr: 2.7729e-02 eta: 1:51:36 time: 0.5146 data_time: 0.0150 memory: 10484 grad_norm: 0.2479 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8667 recall@top3: 0.8333 prec@top3: 0.7333 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0567 loss: 0.0567 2022/08/11 15:35:15 - mmengine - INFO - Epoch(train) [7][2600/3842] lr: 2.7655e-02 eta: 1:51:25 time: 0.4910 data_time: 0.0175 memory: 10484 grad_norm: 0.2603 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8824 recall@top3: 0.7990 prec@top3: 0.7647 recall@top5: 0.9706 prec@top5: 0.5647 loss_action_cls: 0.0526 loss: 0.0526 2022/08/11 15:35:26 - mmengine - INFO - Epoch(train) [7][2620/3842] lr: 2.7581e-02 eta: 1:51:14 time: 0.5095 data_time: 0.0159 memory: 10484 grad_norm: 0.2552 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.9231 recall@top3: 0.9167 prec@top3: 0.6154 recall@top5: 0.9808 prec@top5: 0.4154 loss_action_cls: 0.0509 loss: 0.0509 2022/08/11 15:35:36 - mmengine - INFO - Epoch(train) [7][2640/3842] lr: 2.7507e-02 eta: 1:51:04 time: 0.5182 data_time: 0.0176 memory: 10484 grad_norm: 0.2479 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.5833 recall@top3: 0.6632 prec@top3: 0.5556 recall@top5: 0.8681 prec@top5: 0.4583 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 15:35:52 - mmengine - INFO - Epoch(train) [7][2660/3842] lr: 2.7433e-02 eta: 1:50:56 time: 0.8016 data_time: 0.0174 memory: 10484 grad_norm: 0.2592 recall@thr=0.5: 0.7940 prec@thr=0.5: 0.8143 recall@top3: 0.8321 prec@top3: 0.6905 recall@top5: 0.9214 prec@top5: 0.4786 loss_action_cls: 0.0544 loss: 0.0544 2022/08/11 15:36:02 - mmengine - INFO - Epoch(train) [7][2680/3842] lr: 2.7359e-02 eta: 1:50:45 time: 0.5192 data_time: 0.0257 memory: 10484 grad_norm: 0.2639 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8375 recall@top3: 0.8000 prec@top3: 0.7833 recall@top5: 0.9750 prec@top5: 0.5800 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 15:36:13 - mmengine - INFO - Epoch(train) [7][2700/3842] lr: 2.7286e-02 eta: 1:50:35 time: 0.5281 data_time: 0.0182 memory: 10484 grad_norm: 0.2550 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8088 recall@top3: 0.8529 prec@top3: 0.7059 recall@top5: 0.9216 prec@top5: 0.4706 loss_action_cls: 0.0610 loss: 0.0610 2022/08/11 15:36:23 - mmengine - INFO - Epoch(train) [7][2720/3842] lr: 2.7212e-02 eta: 1:50:24 time: 0.5184 data_time: 0.0204 memory: 10484 grad_norm: 0.2651 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.7667 recall@top3: 0.8444 prec@top3: 0.6222 recall@top5: 0.9111 prec@top5: 0.4000 loss_action_cls: 0.0506 loss: 0.0506 2022/08/11 15:36:34 - mmengine - INFO - Epoch(train) [7][2740/3842] lr: 2.7138e-02 eta: 1:50:14 time: 0.5253 data_time: 0.0182 memory: 10484 grad_norm: 0.2535 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8095 recall@top3: 0.8512 prec@top3: 0.7619 recall@top5: 0.9226 prec@top5: 0.5000 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 15:36:44 - mmengine - INFO - Epoch(train) [7][2760/3842] lr: 2.7064e-02 eta: 1:50:03 time: 0.4975 data_time: 0.0187 memory: 10484 grad_norm: 0.2580 recall@thr=0.5: 0.7367 prec@thr=0.5: 0.7233 recall@top3: 0.7867 prec@top3: 0.7067 recall@top5: 0.9600 prec@top5: 0.5280 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 15:36:54 - mmengine - INFO - Epoch(train) [7][2780/3842] lr: 2.6991e-02 eta: 1:49:53 time: 0.5180 data_time: 0.0151 memory: 10484 grad_norm: 0.2482 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.9028 recall@top3: 0.7778 prec@top3: 0.7778 recall@top5: 0.8889 prec@top5: 0.5333 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 15:37:04 - mmengine - INFO - Epoch(train) [7][2800/3842] lr: 2.6917e-02 eta: 1:49:42 time: 0.5160 data_time: 0.0183 memory: 10484 grad_norm: 0.2625 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.7315 recall@top3: 0.8241 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4778 loss_action_cls: 0.0577 loss: 0.0577 2022/08/11 15:37:15 - mmengine - INFO - Epoch(train) [7][2820/3842] lr: 2.6844e-02 eta: 1:49:32 time: 0.5313 data_time: 0.0187 memory: 10484 grad_norm: 0.2504 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.8500 recall@top3: 0.7542 prec@top3: 0.8167 recall@top5: 0.9750 prec@top5: 0.6600 loss_action_cls: 0.0460 loss: 0.0460 2022/08/11 15:37:25 - mmengine - INFO - Epoch(train) [7][2840/3842] lr: 2.6770e-02 eta: 1:49:21 time: 0.5008 data_time: 0.0187 memory: 10484 grad_norm: 0.2533 recall@thr=0.5: 0.8103 prec@thr=0.5: 0.7857 recall@top3: 0.8508 prec@top3: 0.7937 recall@top5: 0.9175 prec@top5: 0.5238 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 15:37:35 - mmengine - INFO - Epoch(train) [7][2860/3842] lr: 2.6697e-02 eta: 1:49:10 time: 0.4997 data_time: 0.0167 memory: 10484 grad_norm: 0.2627 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.6923 recall@top3: 0.8077 prec@top3: 0.6667 recall@top5: 0.8462 prec@top5: 0.4154 loss_action_cls: 0.0570 loss: 0.0570 2022/08/11 15:37:45 - mmengine - INFO - Epoch(train) [7][2880/3842] lr: 2.6623e-02 eta: 1:49:00 time: 0.5165 data_time: 0.0183 memory: 10484 grad_norm: 0.2548 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.9028 recall@top3: 0.8796 prec@top3: 0.8333 recall@top5: 0.9491 prec@top5: 0.5444 loss_action_cls: 0.0490 loss: 0.0490 2022/08/11 15:37:56 - mmengine - INFO - Epoch(train) [7][2900/3842] lr: 2.6550e-02 eta: 1:48:49 time: 0.5146 data_time: 0.0181 memory: 10484 grad_norm: 0.2707 recall@thr=0.5: 0.8030 prec@thr=0.5: 1.0000 recall@top3: 0.9242 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.5273 loss_action_cls: 0.0492 loss: 0.0492 2022/08/11 15:38:06 - mmengine - INFO - Epoch(train) [7][2920/3842] lr: 2.6477e-02 eta: 1:48:39 time: 0.5223 data_time: 0.0175 memory: 10484 grad_norm: 0.2559 recall@thr=0.5: 0.9118 prec@thr=0.5: 0.9020 recall@top3: 0.9706 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 15:38:17 - mmengine - INFO - Epoch(train) [7][2940/3842] lr: 2.6404e-02 eta: 1:48:28 time: 0.5203 data_time: 0.0201 memory: 10484 grad_norm: 0.2508 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.8846 recall@top3: 0.9103 prec@top3: 0.8333 recall@top5: 0.9808 prec@top5: 0.5385 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 15:38:20 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 15:38:26 - mmengine - INFO - Epoch(train) [7][2960/3842] lr: 2.6330e-02 eta: 1:48:18 time: 0.4909 data_time: 0.0181 memory: 10484 grad_norm: 0.2542 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.9565 recall@top3: 0.8188 prec@top3: 0.8406 recall@top5: 0.9348 prec@top5: 0.5913 loss_action_cls: 0.0475 loss: 0.0475 2022/08/11 15:38:37 - mmengine - INFO - Epoch(train) [7][2980/3842] lr: 2.6257e-02 eta: 1:48:07 time: 0.5162 data_time: 0.0161 memory: 10484 grad_norm: 0.2524 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7281 recall@top3: 0.7193 prec@top3: 0.5789 recall@top5: 0.9211 prec@top5: 0.4421 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 15:38:47 - mmengine - INFO - Epoch(train) [7][3000/3842] lr: 2.6184e-02 eta: 1:47:56 time: 0.5241 data_time: 0.0174 memory: 10484 grad_norm: 0.2480 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8125 recall@top3: 0.9167 prec@top3: 0.7292 recall@top5: 0.9583 prec@top5: 0.4625 loss_action_cls: 0.0552 loss: 0.0552 2022/08/11 15:38:57 - mmengine - INFO - Epoch(train) [7][3020/3842] lr: 2.6111e-02 eta: 1:47:46 time: 0.4887 data_time: 0.0163 memory: 10484 grad_norm: 0.2692 recall@thr=0.5: 0.5060 prec@thr=0.5: 0.7262 recall@top3: 0.6964 prec@top3: 0.6667 recall@top5: 0.8095 prec@top5: 0.4714 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 15:39:10 - mmengine - INFO - Epoch(train) [7][3040/3842] lr: 2.6038e-02 eta: 1:47:36 time: 0.6324 data_time: 0.0162 memory: 10484 grad_norm: 0.2531 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.9265 recall@top3: 0.9265 prec@top3: 0.8039 recall@top5: 0.9853 prec@top5: 0.5176 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 15:39:20 - mmengine - INFO - Epoch(train) [7][3060/3842] lr: 2.5965e-02 eta: 1:47:26 time: 0.5388 data_time: 0.0201 memory: 10484 grad_norm: 0.2466 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8444 recall@top3: 0.9556 prec@top3: 0.7333 recall@top5: 0.9556 prec@top5: 0.4400 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 15:39:30 - mmengine - INFO - Epoch(train) [7][3080/3842] lr: 2.5892e-02 eta: 1:47:15 time: 0.4907 data_time: 0.0160 memory: 10484 grad_norm: 0.2545 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7111 recall@top3: 0.8833 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0558 loss: 0.0558 2022/08/11 15:39:41 - mmengine - INFO - Epoch(train) [7][3100/3842] lr: 2.5819e-02 eta: 1:47:05 time: 0.5225 data_time: 0.0202 memory: 10484 grad_norm: 0.2567 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.8889 recall@top3: 0.9333 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0496 loss: 0.0496 2022/08/11 15:39:51 - mmengine - INFO - Epoch(train) [7][3120/3842] lr: 2.5746e-02 eta: 1:46:54 time: 0.5217 data_time: 0.0193 memory: 10484 grad_norm: 0.2637 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.7897 recall@top3: 0.8690 prec@top3: 0.5714 recall@top5: 0.9524 prec@top5: 0.3905 loss_action_cls: 0.0469 loss: 0.0469 2022/08/11 15:40:01 - mmengine - INFO - Epoch(train) [7][3140/3842] lr: 2.5674e-02 eta: 1:46:44 time: 0.5065 data_time: 0.0197 memory: 10484 grad_norm: 0.2641 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6042 recall@top3: 0.6542 prec@top3: 0.6333 recall@top5: 0.8417 prec@top5: 0.4900 loss_action_cls: 0.0489 loss: 0.0489 2022/08/11 15:40:11 - mmengine - INFO - Epoch(train) [7][3160/3842] lr: 2.5601e-02 eta: 1:46:33 time: 0.5064 data_time: 0.0176 memory: 10484 grad_norm: 0.2536 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.9028 recall@top3: 0.8889 prec@top3: 0.6389 recall@top5: 0.9306 prec@top5: 0.4000 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 15:40:22 - mmengine - INFO - Epoch(train) [7][3180/3842] lr: 2.5528e-02 eta: 1:46:22 time: 0.5278 data_time: 0.0184 memory: 10484 grad_norm: 0.2537 recall@thr=0.5: 0.8939 prec@thr=0.5: 0.9545 recall@top3: 0.9167 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 15:40:32 - mmengine - INFO - Epoch(train) [7][3200/3842] lr: 2.5456e-02 eta: 1:46:12 time: 0.5150 data_time: 0.0188 memory: 10484 grad_norm: 0.2643 recall@thr=0.5: 0.6886 prec@thr=0.5: 0.8939 recall@top3: 0.7212 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.5636 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 15:40:42 - mmengine - INFO - Epoch(train) [7][3220/3842] lr: 2.5383e-02 eta: 1:46:01 time: 0.4984 data_time: 0.0251 memory: 10484 grad_norm: 0.2608 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9216 recall@top3: 0.8922 prec@top3: 0.8039 recall@top5: 0.9706 prec@top5: 0.5294 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 15:40:52 - mmengine - INFO - Epoch(train) [7][3240/3842] lr: 2.5311e-02 eta: 1:45:50 time: 0.4912 data_time: 0.0158 memory: 10484 grad_norm: 0.2599 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7857 recall@top3: 0.8095 prec@top3: 0.4762 recall@top5: 0.9405 prec@top5: 0.3429 loss_action_cls: 0.0591 loss: 0.0591 2022/08/11 15:41:02 - mmengine - INFO - Epoch(train) [7][3260/3842] lr: 2.5238e-02 eta: 1:45:40 time: 0.5206 data_time: 0.0175 memory: 10484 grad_norm: 0.2519 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8640 recall@top3: 0.7982 prec@top3: 0.5965 recall@top5: 0.9386 prec@top5: 0.4316 loss_action_cls: 0.0554 loss: 0.0554 2022/08/11 15:41:13 - mmengine - INFO - Epoch(train) [7][3280/3842] lr: 2.5166e-02 eta: 1:45:29 time: 0.5160 data_time: 0.0173 memory: 10484 grad_norm: 0.2589 recall@thr=0.5: 0.3595 prec@thr=0.5: 0.6429 recall@top3: 0.5440 prec@top3: 0.5952 recall@top5: 0.7679 prec@top5: 0.5000 loss_action_cls: 0.0568 loss: 0.0568 2022/08/11 15:41:24 - mmengine - INFO - Epoch(train) [7][3300/3842] lr: 2.5093e-02 eta: 1:45:19 time: 0.5661 data_time: 0.0191 memory: 10484 grad_norm: 0.2477 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.8500 recall@top3: 0.8875 prec@top3: 0.7000 recall@top5: 0.9167 prec@top5: 0.4400 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 15:41:34 - mmengine - INFO - Epoch(train) [7][3320/3842] lr: 2.5021e-02 eta: 1:45:09 time: 0.5025 data_time: 0.0208 memory: 10484 grad_norm: 0.2693 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8833 recall@top3: 0.9333 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 15:41:45 - mmengine - INFO - Epoch(train) [7][3340/3842] lr: 2.4949e-02 eta: 1:44:58 time: 0.5209 data_time: 0.0182 memory: 10484 grad_norm: 0.2713 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.7381 recall@top3: 0.8631 prec@top3: 0.6429 recall@top5: 0.8810 prec@top5: 0.4000 loss_action_cls: 0.0530 loss: 0.0530 2022/08/11 15:41:55 - mmengine - INFO - Epoch(train) [7][3360/3842] lr: 2.4877e-02 eta: 1:44:48 time: 0.5217 data_time: 0.0178 memory: 10484 grad_norm: 0.2561 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.7963 recall@top3: 0.8148 prec@top3: 0.7407 recall@top5: 0.8796 prec@top5: 0.4889 loss_action_cls: 0.0578 loss: 0.0578 2022/08/11 15:42:05 - mmengine - INFO - Epoch(train) [7][3380/3842] lr: 2.4804e-02 eta: 1:44:37 time: 0.5174 data_time: 0.0188 memory: 10484 grad_norm: 0.2617 recall@thr=0.5: 0.5602 prec@thr=0.5: 0.8889 recall@top3: 0.8287 prec@top3: 0.7222 recall@top5: 0.9259 prec@top5: 0.5000 loss_action_cls: 0.0559 loss: 0.0559 2022/08/11 15:42:16 - mmengine - INFO - Epoch(train) [7][3400/3842] lr: 2.4732e-02 eta: 1:44:27 time: 0.5206 data_time: 0.0171 memory: 10484 grad_norm: 0.2531 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6250 recall@top3: 0.8333 prec@top3: 0.4167 recall@top5: 0.9167 prec@top5: 0.3000 loss_action_cls: 0.0493 loss: 0.0493 2022/08/11 15:42:26 - mmengine - INFO - Epoch(train) [7][3420/3842] lr: 2.4660e-02 eta: 1:44:16 time: 0.5258 data_time: 0.0178 memory: 10484 grad_norm: 0.2795 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7559 recall@top3: 0.8431 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.5059 loss_action_cls: 0.0492 loss: 0.0492 2022/08/11 15:42:37 - mmengine - INFO - Epoch(train) [7][3440/3842] lr: 2.4588e-02 eta: 1:44:06 time: 0.5380 data_time: 0.0194 memory: 10484 grad_norm: 0.2584 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6754 recall@top3: 0.7632 prec@top3: 0.5439 recall@top5: 0.8596 prec@top5: 0.3684 loss_action_cls: 0.0571 loss: 0.0571 2022/08/11 15:42:47 - mmengine - INFO - Epoch(train) [7][3460/3842] lr: 2.4516e-02 eta: 1:43:55 time: 0.5227 data_time: 0.0197 memory: 10484 grad_norm: 0.2688 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6111 recall@top3: 0.6587 prec@top3: 0.5397 recall@top5: 0.8413 prec@top5: 0.4095 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 15:42:58 - mmengine - INFO - Epoch(train) [7][3480/3842] lr: 2.4444e-02 eta: 1:43:45 time: 0.5179 data_time: 0.0171 memory: 10484 grad_norm: 0.2619 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8009 recall@top3: 0.8102 prec@top3: 0.7222 recall@top5: 0.9120 prec@top5: 0.5000 loss_action_cls: 0.0474 loss: 0.0474 2022/08/11 15:43:08 - mmengine - INFO - Epoch(train) [7][3500/3842] lr: 2.4373e-02 eta: 1:43:34 time: 0.5203 data_time: 0.0180 memory: 10484 grad_norm: 0.2681 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.9020 recall@top3: 0.7843 prec@top3: 0.7255 recall@top5: 0.8725 prec@top5: 0.5059 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 15:43:19 - mmengine - INFO - Epoch(train) [7][3520/3842] lr: 2.4301e-02 eta: 1:43:24 time: 0.5137 data_time: 0.0174 memory: 10484 grad_norm: 0.2564 recall@thr=0.5: 0.7530 prec@thr=0.5: 0.9167 recall@top3: 0.7985 prec@top3: 0.6970 recall@top5: 0.9250 prec@top5: 0.5000 loss_action_cls: 0.0563 loss: 0.0563 2022/08/11 15:43:29 - mmengine - INFO - Epoch(train) [7][3540/3842] lr: 2.4229e-02 eta: 1:43:13 time: 0.5195 data_time: 0.0189 memory: 10484 grad_norm: 0.2489 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8452 recall@top3: 0.7262 prec@top3: 0.5952 recall@top5: 0.9167 prec@top5: 0.4714 loss_action_cls: 0.0532 loss: 0.0532 2022/08/11 15:43:39 - mmengine - INFO - Epoch(train) [7][3560/3842] lr: 2.4157e-02 eta: 1:43:02 time: 0.4870 data_time: 0.0171 memory: 10484 grad_norm: 0.2626 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8485 recall@top3: 0.9545 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.4182 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 15:43:49 - mmengine - INFO - Epoch(train) [7][3580/3842] lr: 2.4086e-02 eta: 1:42:52 time: 0.4925 data_time: 0.0159 memory: 10484 grad_norm: 0.2547 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8651 recall@top3: 0.8373 prec@top3: 0.7937 recall@top5: 0.9762 prec@top5: 0.5524 loss_action_cls: 0.0520 loss: 0.0520 2022/08/11 15:43:59 - mmengine - INFO - Epoch(train) [7][3600/3842] lr: 2.4014e-02 eta: 1:42:41 time: 0.5209 data_time: 0.0178 memory: 10484 grad_norm: 0.2779 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8472 recall@top3: 0.9167 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0553 loss: 0.0553 2022/08/11 15:44:09 - mmengine - INFO - Epoch(train) [7][3620/3842] lr: 2.3943e-02 eta: 1:42:31 time: 0.5168 data_time: 0.0177 memory: 10484 grad_norm: 0.2597 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.6061 recall@top3: 0.8636 prec@top3: 0.4848 recall@top5: 0.9697 prec@top5: 0.3636 loss_action_cls: 0.0537 loss: 0.0537 2022/08/11 15:44:20 - mmengine - INFO - Epoch(train) [7][3640/3842] lr: 2.3871e-02 eta: 1:42:20 time: 0.5178 data_time: 0.0180 memory: 10484 grad_norm: 0.2588 recall@thr=0.5: 0.9412 prec@thr=0.5: 0.9706 recall@top3: 0.9216 prec@top3: 0.8824 recall@top5: 1.0000 prec@top5: 0.5882 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 15:44:30 - mmengine - INFO - Epoch(train) [7][3660/3842] lr: 2.3800e-02 eta: 1:42:10 time: 0.5264 data_time: 0.0185 memory: 10484 grad_norm: 0.2554 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.8333 recall@top3: 0.8860 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 15:44:40 - mmengine - INFO - Epoch(train) [7][3680/3842] lr: 2.3729e-02 eta: 1:41:59 time: 0.5028 data_time: 0.0185 memory: 10484 grad_norm: 0.2609 recall@thr=0.5: 0.9556 prec@thr=0.5: 0.9333 recall@top3: 0.9556 prec@top3: 0.7333 recall@top5: 0.9778 prec@top5: 0.4533 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 15:44:52 - mmengine - INFO - Epoch(train) [7][3700/3842] lr: 2.3657e-02 eta: 1:41:49 time: 0.5817 data_time: 0.0188 memory: 10484 grad_norm: 0.2581 recall@thr=0.5: 0.6993 prec@thr=0.5: 0.7101 recall@top3: 0.8188 prec@top3: 0.5507 recall@top5: 0.8913 prec@top5: 0.3739 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 15:45:02 - mmengine - INFO - Epoch(train) [7][3720/3842] lr: 2.3586e-02 eta: 1:41:39 time: 0.5151 data_time: 0.0178 memory: 10484 grad_norm: 0.2560 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8526 recall@top3: 0.8846 prec@top3: 0.7179 recall@top5: 0.9487 prec@top5: 0.4615 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 15:45:12 - mmengine - INFO - Epoch(train) [7][3740/3842] lr: 2.3515e-02 eta: 1:41:28 time: 0.4929 data_time: 0.0179 memory: 10484 grad_norm: 0.2475 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8281 recall@top3: 0.7969 prec@top3: 0.7708 recall@top5: 0.9062 prec@top5: 0.5375 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 15:45:22 - mmengine - INFO - Epoch(train) [7][3760/3842] lr: 2.3444e-02 eta: 1:41:17 time: 0.5151 data_time: 0.0178 memory: 10484 grad_norm: 0.2617 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7373 recall@top3: 0.8304 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 15:45:32 - mmengine - INFO - Epoch(train) [7][3780/3842] lr: 2.3373e-02 eta: 1:41:06 time: 0.4913 data_time: 0.0182 memory: 10484 grad_norm: 0.2495 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7778 recall@top3: 0.7824 prec@top3: 0.5926 recall@top5: 0.8750 prec@top5: 0.4222 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 15:45:42 - mmengine - INFO - Epoch(train) [7][3800/3842] lr: 2.3302e-02 eta: 1:40:56 time: 0.5156 data_time: 0.0186 memory: 10484 grad_norm: 0.2529 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5556 recall@top3: 0.8194 prec@top3: 0.5278 recall@top5: 0.9444 prec@top5: 0.3833 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 15:45:52 - mmengine - INFO - Epoch(train) [7][3820/3842] lr: 2.3231e-02 eta: 1:40:45 time: 0.4899 data_time: 0.0178 memory: 10484 grad_norm: 0.2742 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8431 recall@top3: 0.8137 prec@top3: 0.7451 recall@top5: 0.9020 prec@top5: 0.4941 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 15:46:02 - mmengine - INFO - Epoch(train) [7][3840/3842] lr: 2.3160e-02 eta: 1:40:35 time: 0.5045 data_time: 0.0144 memory: 10484 grad_norm: 0.2553 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.9545 recall@top3: 0.8864 prec@top3: 0.8182 recall@top5: 1.0000 prec@top5: 0.5636 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 15:46:03 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 15:46:03 - mmengine - INFO - Epoch(train) [7][3842/3842] lr: 2.3153e-02 eta: 1:40:35 time: 0.4939 data_time: 0.0175 memory: 10484 grad_norm: 0.2681 recall@thr=0.5: 1.0000 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.8889 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0469 loss: 0.0469 2022/08/11 15:46:03 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/11 15:46:10 - mmengine - INFO - Epoch(val) [7][20/6282] eta: 0:07:38 time: 0.0732 data_time: 0.0235 memory: 703 2022/08/11 15:46:11 - mmengine - INFO - Epoch(val) [7][40/6282] eta: 0:05:23 time: 0.0519 data_time: 0.0035 memory: 703 2022/08/11 15:46:12 - mmengine - INFO - Epoch(val) [7][60/6282] eta: 0:05:20 time: 0.0515 data_time: 0.0039 memory: 703 2022/08/11 15:46:13 - mmengine - INFO - Epoch(val) [7][80/6282] eta: 0:05:22 time: 0.0520 data_time: 0.0054 memory: 703 2022/08/11 15:46:15 - mmengine - INFO - Epoch(val) [7][100/6282] eta: 0:07:49 time: 0.0759 data_time: 0.0034 memory: 703 2022/08/11 15:46:16 - mmengine - INFO - Epoch(val) [7][120/6282] eta: 0:06:14 time: 0.0608 data_time: 0.0054 memory: 809 2022/08/11 15:46:17 - mmengine - INFO - Epoch(val) [7][140/6282] eta: 0:06:37 time: 0.0647 data_time: 0.0048 memory: 809 2022/08/11 15:46:19 - mmengine - INFO - Epoch(val) [7][160/6282] eta: 0:07:02 time: 0.0691 data_time: 0.0056 memory: 809 2022/08/11 15:46:20 - mmengine - INFO - Epoch(val) [7][180/6282] eta: 0:07:06 time: 0.0699 data_time: 0.0058 memory: 809 2022/08/11 15:46:22 - mmengine - INFO - Epoch(val) [7][200/6282] eta: 0:06:54 time: 0.0682 data_time: 0.0065 memory: 809 2022/08/11 15:46:23 - mmengine - INFO - Epoch(val) [7][220/6282] eta: 0:05:42 time: 0.0566 data_time: 0.0057 memory: 738 2022/08/11 15:46:25 - mmengine - INFO - Epoch(val) [7][240/6282] eta: 0:11:38 time: 0.1156 data_time: 0.0730 memory: 738 2022/08/11 15:46:27 - mmengine - INFO - Epoch(val) [7][260/6282] eta: 0:08:42 time: 0.0867 data_time: 0.0423 memory: 738 2022/08/11 15:46:28 - mmengine - INFO - Epoch(val) [7][280/6282] eta: 0:05:05 time: 0.0508 data_time: 0.0030 memory: 738 2022/08/11 15:46:30 - mmengine - INFO - Epoch(val) [7][300/6282] eta: 0:09:03 time: 0.0908 data_time: 0.0406 memory: 809 2022/08/11 15:46:31 - mmengine - INFO - Epoch(val) [7][320/6282] eta: 0:07:02 time: 0.0708 data_time: 0.0128 memory: 809 2022/08/11 15:46:33 - mmengine - INFO - Epoch(val) [7][340/6282] eta: 0:07:35 time: 0.0767 data_time: 0.0119 memory: 809 2022/08/11 15:46:34 - mmengine - INFO - Epoch(val) [7][360/6282] eta: 0:06:39 time: 0.0675 data_time: 0.0074 memory: 809 2022/08/11 15:46:35 - mmengine - INFO - Epoch(val) [7][380/6282] eta: 0:06:20 time: 0.0644 data_time: 0.0050 memory: 809 2022/08/11 15:46:37 - mmengine - INFO - Epoch(val) [7][400/6282] eta: 0:08:25 time: 0.0859 data_time: 0.0071 memory: 809 2022/08/11 15:46:38 - mmengine - INFO - Epoch(val) [7][420/6282] eta: 0:05:18 time: 0.0544 data_time: 0.0043 memory: 743 2022/08/11 15:46:39 - mmengine - INFO - Epoch(val) [7][440/6282] eta: 0:05:50 time: 0.0599 data_time: 0.0055 memory: 743 2022/08/11 15:46:40 - mmengine - INFO - Epoch(val) [7][460/6282] eta: 0:05:30 time: 0.0568 data_time: 0.0058 memory: 743 2022/08/11 15:46:42 - mmengine - INFO - Epoch(val) [7][480/6282] eta: 0:05:31 time: 0.0571 data_time: 0.0057 memory: 743 2022/08/11 15:46:43 - mmengine - INFO - Epoch(val) [7][500/6282] eta: 0:05:09 time: 0.0536 data_time: 0.0049 memory: 743 2022/08/11 15:46:44 - mmengine - INFO - Epoch(val) [7][520/6282] eta: 0:04:43 time: 0.0493 data_time: 0.0041 memory: 738 2022/08/11 15:46:46 - mmengine - INFO - Epoch(val) [7][540/6282] eta: 0:12:11 time: 0.1274 data_time: 0.0814 memory: 738 2022/08/11 15:46:48 - mmengine - INFO - Epoch(val) [7][560/6282] eta: 0:10:16 time: 0.1078 data_time: 0.0659 memory: 738 2022/08/11 15:46:49 - mmengine - INFO - Epoch(val) [7][580/6282] eta: 0:04:54 time: 0.0517 data_time: 0.0041 memory: 738 2022/08/11 15:46:50 - mmengine - INFO - Epoch(val) [7][600/6282] eta: 0:04:53 time: 0.0516 data_time: 0.0039 memory: 738 2022/08/11 15:46:51 - mmengine - INFO - Epoch(val) [7][620/6282] eta: 0:04:55 time: 0.0522 data_time: 0.0045 memory: 738 2022/08/11 15:46:52 - mmengine - INFO - Epoch(val) [7][640/6282] eta: 0:04:37 time: 0.0492 data_time: 0.0038 memory: 733 2022/08/11 15:46:53 - mmengine - INFO - Epoch(val) [7][660/6282] eta: 0:04:47 time: 0.0512 data_time: 0.0036 memory: 733 2022/08/11 15:46:54 - mmengine - INFO - Epoch(val) [7][680/6282] eta: 0:04:32 time: 0.0486 data_time: 0.0033 memory: 733 2022/08/11 15:46:55 - mmengine - INFO - Epoch(val) [7][700/6282] eta: 0:04:47 time: 0.0514 data_time: 0.0051 memory: 733 2022/08/11 15:46:58 - mmengine - INFO - Epoch(val) [7][720/6282] eta: 0:12:28 time: 0.1347 data_time: 0.0767 memory: 809 2022/08/11 15:47:02 - mmengine - INFO - Epoch(val) [7][740/6282] eta: 0:18:13 time: 0.1972 data_time: 0.1148 memory: 809 2022/08/11 15:47:07 - mmengine - INFO - Epoch(val) [7][760/6282] eta: 0:20:18 time: 0.2206 data_time: 0.1632 memory: 809 2022/08/11 15:47:15 - mmengine - INFO - Epoch(val) [7][780/6282] eta: 0:37:58 time: 0.4141 data_time: 0.3548 memory: 809 2022/08/11 15:47:18 - mmengine - INFO - Epoch(val) [7][800/6282] eta: 0:15:42 time: 0.1720 data_time: 0.1103 memory: 809 2022/08/11 15:47:20 - mmengine - INFO - Epoch(val) [7][820/6282] eta: 0:08:45 time: 0.0963 data_time: 0.0413 memory: 809 2022/08/11 15:47:21 - mmengine - INFO - Epoch(val) [7][840/6282] eta: 0:04:59 time: 0.0551 data_time: 0.0043 memory: 738 2022/08/11 15:47:22 - mmengine - INFO - Epoch(val) [7][860/6282] eta: 0:05:02 time: 0.0558 data_time: 0.0041 memory: 738 2022/08/11 15:47:24 - mmengine - INFO - Epoch(val) [7][880/6282] eta: 0:05:03 time: 0.0562 data_time: 0.0054 memory: 738 2022/08/11 15:47:25 - mmengine - INFO - Epoch(val) [7][900/6282] eta: 0:04:53 time: 0.0545 data_time: 0.0066 memory: 738 2022/08/11 15:47:26 - mmengine - INFO - Epoch(val) [7][920/6282] eta: 0:05:12 time: 0.0583 data_time: 0.0056 memory: 738 2022/08/11 15:47:27 - mmengine - INFO - Epoch(val) [7][940/6282] eta: 0:04:52 time: 0.0547 data_time: 0.0045 memory: 703 2022/08/11 15:47:28 - mmengine - INFO - Epoch(val) [7][960/6282] eta: 0:04:56 time: 0.0557 data_time: 0.0063 memory: 703 2022/08/11 15:47:29 - mmengine - INFO - Epoch(val) [7][980/6282] eta: 0:04:37 time: 0.0523 data_time: 0.0048 memory: 703 2022/08/11 15:47:31 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:10:15 time: 0.1164 data_time: 0.0745 memory: 703 2022/08/11 15:47:33 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:07:12 time: 0.0822 data_time: 0.0372 memory: 738 2022/08/11 15:47:34 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:04:02 time: 0.0462 data_time: 0.0037 memory: 738 2022/08/11 15:47:35 - mmengine - INFO - Epoch(val) [7][1060/6282] eta: 0:04:26 time: 0.0511 data_time: 0.0036 memory: 738 2022/08/11 15:47:36 - mmengine - INFO - Epoch(val) [7][1080/6282] eta: 0:04:38 time: 0.0535 data_time: 0.0035 memory: 738 2022/08/11 15:47:37 - mmengine - INFO - Epoch(val) [7][1100/6282] eta: 0:04:31 time: 0.0523 data_time: 0.0042 memory: 738 2022/08/11 15:47:38 - mmengine - INFO - Epoch(val) [7][1120/6282] eta: 0:04:22 time: 0.0508 data_time: 0.0031 memory: 738 2022/08/11 15:47:39 - mmengine - INFO - Epoch(val) [7][1140/6282] eta: 0:04:39 time: 0.0543 data_time: 0.0042 memory: 738 2022/08/11 15:47:40 - mmengine - INFO - Epoch(val) [7][1160/6282] eta: 0:04:48 time: 0.0562 data_time: 0.0049 memory: 738 2022/08/11 15:47:41 - mmengine - INFO - Epoch(val) [7][1180/6282] eta: 0:04:22 time: 0.0515 data_time: 0.0037 memory: 738 2022/08/11 15:47:43 - mmengine - INFO - Epoch(val) [7][1200/6282] eta: 0:04:32 time: 0.0536 data_time: 0.0053 memory: 738 2022/08/11 15:47:44 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:04:32 time: 0.0539 data_time: 0.0044 memory: 738 2022/08/11 15:47:47 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:14:49 time: 0.1765 data_time: 0.1142 memory: 809 2022/08/11 15:47:50 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:12:02 time: 0.1438 data_time: 0.0864 memory: 809 2022/08/11 15:48:00 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:40:40 time: 0.4880 data_time: 0.4299 memory: 809 2022/08/11 15:48:03 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:12:31 time: 0.1509 data_time: 0.0877 memory: 809 2022/08/11 15:48:07 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:17:52 time: 0.2161 data_time: 0.1563 memory: 809 2022/08/11 15:48:09 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:09:43 time: 0.1180 data_time: 0.0537 memory: 809 2022/08/11 15:48:13 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:13:55 time: 0.1698 data_time: 0.1084 memory: 809 2022/08/11 15:48:15 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:09:55 time: 0.1215 data_time: 0.0614 memory: 809 2022/08/11 15:48:19 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:14:47 time: 0.1817 data_time: 0.1046 memory: 809 2022/08/11 15:48:21 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:09:23 time: 0.1158 data_time: 0.0552 memory: 809 2022/08/11 15:48:23 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:06:28 time: 0.0801 data_time: 0.0188 memory: 809 2022/08/11 15:48:24 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:05:10 time: 0.0645 data_time: 0.0052 memory: 809 2022/08/11 15:48:25 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:05:06 time: 0.0638 data_time: 0.0065 memory: 809 2022/08/11 15:48:27 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:05:01 time: 0.0630 data_time: 0.0048 memory: 809 2022/08/11 15:48:28 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:05:01 time: 0.0634 data_time: 0.0049 memory: 911 2022/08/11 15:48:30 - mmengine - INFO - Epoch(val) [7][1540/6282] eta: 0:06:01 time: 0.0763 data_time: 0.0052 memory: 911 2022/08/11 15:48:31 - mmengine - INFO - Epoch(val) [7][1560/6282] eta: 0:06:03 time: 0.0769 data_time: 0.0056 memory: 911 2022/08/11 15:48:33 - mmengine - INFO - Epoch(val) [7][1580/6282] eta: 0:06:01 time: 0.0768 data_time: 0.0051 memory: 911 2022/08/11 15:48:34 - mmengine - INFO - Epoch(val) [7][1600/6282] eta: 0:06:10 time: 0.0791 data_time: 0.0051 memory: 911 2022/08/11 15:48:36 - mmengine - INFO - Epoch(val) [7][1620/6282] eta: 0:06:05 time: 0.0784 data_time: 0.0063 memory: 911 2022/08/11 15:48:37 - mmengine - INFO - Epoch(val) [7][1640/6282] eta: 0:04:52 time: 0.0630 data_time: 0.0050 memory: 809 2022/08/11 15:48:38 - mmengine - INFO - Epoch(val) [7][1660/6282] eta: 0:04:57 time: 0.0643 data_time: 0.0056 memory: 809 2022/08/11 15:48:41 - mmengine - INFO - Epoch(val) [7][1680/6282] eta: 0:10:16 time: 0.1339 data_time: 0.0065 memory: 809 2022/08/11 15:48:42 - mmengine - INFO - Epoch(val) [7][1700/6282] eta: 0:04:51 time: 0.0636 data_time: 0.0051 memory: 809 2022/08/11 15:48:44 - mmengine - INFO - Epoch(val) [7][1720/6282] eta: 0:04:49 time: 0.0634 data_time: 0.0049 memory: 809 2022/08/11 15:48:45 - mmengine - INFO - Epoch(val) [7][1740/6282] eta: 0:04:51 time: 0.0642 data_time: 0.0053 memory: 809 2022/08/11 15:48:46 - mmengine - INFO - Epoch(val) [7][1760/6282] eta: 0:04:50 time: 0.0642 data_time: 0.0042 memory: 809 2022/08/11 15:48:47 - mmengine - INFO - Epoch(val) [7][1780/6282] eta: 0:04:56 time: 0.0659 data_time: 0.0049 memory: 809 2022/08/11 15:48:49 - mmengine - INFO - Epoch(val) [7][1800/6282] eta: 0:04:32 time: 0.0607 data_time: 0.0037 memory: 809 2022/08/11 15:48:50 - mmengine - INFO - Epoch(val) [7][1820/6282] eta: 0:04:45 time: 0.0640 data_time: 0.0048 memory: 809 2022/08/11 15:48:52 - mmengine - INFO - Epoch(val) [7][1840/6282] eta: 0:05:52 time: 0.0794 data_time: 0.0201 memory: 809 2022/08/11 15:48:55 - mmengine - INFO - Epoch(val) [7][1860/6282] eta: 0:12:46 time: 0.1733 data_time: 0.1061 memory: 809 2022/08/11 15:48:58 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:09:38 time: 0.1314 data_time: 0.0677 memory: 809 2022/08/11 15:49:00 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:10:16 time: 0.1408 data_time: 0.0532 memory: 809 2022/08/11 15:49:03 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:09:13 time: 0.1268 data_time: 0.0655 memory: 809 2022/08/11 15:49:06 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:09:03 time: 0.1252 data_time: 0.0661 memory: 809 2022/08/11 15:49:07 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:04:01 time: 0.0559 data_time: 0.0057 memory: 743 2022/08/11 15:49:08 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:03:58 time: 0.0555 data_time: 0.0045 memory: 743 2022/08/11 15:49:09 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:04:04 time: 0.0572 data_time: 0.0045 memory: 743 2022/08/11 15:49:10 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:03:47 time: 0.0533 data_time: 0.0044 memory: 743 2022/08/11 15:49:11 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:04:06 time: 0.0580 data_time: 0.0061 memory: 743 2022/08/11 15:49:12 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:04:05 time: 0.0582 data_time: 0.0048 memory: 743 2022/08/11 15:49:13 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:03:56 time: 0.0563 data_time: 0.0048 memory: 743 2022/08/11 15:49:15 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:04:00 time: 0.0575 data_time: 0.0040 memory: 743 2022/08/11 15:49:16 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:03:50 time: 0.0553 data_time: 0.0048 memory: 743 2022/08/11 15:49:17 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:03:51 time: 0.0558 data_time: 0.0058 memory: 743 2022/08/11 15:49:18 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:03:43 time: 0.0543 data_time: 0.0045 memory: 738 2022/08/11 15:49:20 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:05:29 time: 0.0802 data_time: 0.0058 memory: 738 2022/08/11 15:49:21 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:03:59 time: 0.0586 data_time: 0.0071 memory: 738 2022/08/11 15:49:22 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:03:53 time: 0.0574 data_time: 0.0062 memory: 738 2022/08/11 15:49:23 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:03:57 time: 0.0588 data_time: 0.0053 memory: 738 2022/08/11 15:49:24 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:03:58 time: 0.0592 data_time: 0.0054 memory: 743 2022/08/11 15:49:25 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:03:40 time: 0.0550 data_time: 0.0047 memory: 743 2022/08/11 15:49:27 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:03:50 time: 0.0578 data_time: 0.0057 memory: 743 2022/08/11 15:49:28 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:04:01 time: 0.0608 data_time: 0.0090 memory: 743 2022/08/11 15:49:29 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:03:29 time: 0.0531 data_time: 0.0055 memory: 743 2022/08/11 15:49:30 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:03:34 time: 0.0547 data_time: 0.0042 memory: 738 2022/08/11 15:49:31 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:03:29 time: 0.0537 data_time: 0.0042 memory: 738 2022/08/11 15:49:32 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:03:27 time: 0.0533 data_time: 0.0048 memory: 738 2022/08/11 15:49:33 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:03:29 time: 0.0542 data_time: 0.0037 memory: 738 2022/08/11 15:49:34 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:03:23 time: 0.0530 data_time: 0.0043 memory: 738 2022/08/11 15:49:36 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:05:10 time: 0.0812 data_time: 0.0222 memory: 809 2022/08/11 15:49:38 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:05:06 time: 0.0805 data_time: 0.0195 memory: 809 2022/08/11 15:49:40 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:07:13 time: 0.1146 data_time: 0.0179 memory: 809 2022/08/11 15:49:41 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:04:10 time: 0.0665 data_time: 0.0046 memory: 809 2022/08/11 15:49:43 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:07:12 time: 0.1155 data_time: 0.0553 memory: 809 2022/08/11 15:49:47 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:12:16 time: 0.1980 data_time: 0.1396 memory: 809 2022/08/11 15:49:51 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:10:41 time: 0.1733 data_time: 0.1133 memory: 809 2022/08/11 15:49:54 - mmengine - INFO - Epoch(val) [7][2600/6282] eta: 0:09:38 time: 0.1570 data_time: 0.0992 memory: 809 2022/08/11 15:49:57 - mmengine - INFO - Epoch(val) [7][2620/6282] eta: 0:08:47 time: 0.1440 data_time: 0.0809 memory: 809 2022/08/11 15:50:00 - mmengine - INFO - Epoch(val) [7][2640/6282] eta: 0:09:24 time: 0.1551 data_time: 0.0931 memory: 809 2022/08/11 15:50:02 - mmengine - INFO - Epoch(val) [7][2660/6282] eta: 0:06:04 time: 0.1005 data_time: 0.0046 memory: 902 2022/08/11 15:50:04 - mmengine - INFO - Epoch(val) [7][2680/6282] eta: 0:04:47 time: 0.0799 data_time: 0.0061 memory: 902 2022/08/11 15:50:05 - mmengine - INFO - Epoch(val) [7][2700/6282] eta: 0:04:25 time: 0.0740 data_time: 0.0052 memory: 902 2022/08/11 15:50:07 - mmengine - INFO - Epoch(val) [7][2720/6282] eta: 0:04:19 time: 0.0729 data_time: 0.0046 memory: 902 2022/08/11 15:50:08 - mmengine - INFO - Epoch(val) [7][2740/6282] eta: 0:03:59 time: 0.0675 data_time: 0.0041 memory: 902 2022/08/11 15:50:09 - mmengine - INFO - Epoch(val) [7][2760/6282] eta: 0:03:08 time: 0.0536 data_time: 0.0042 memory: 743 2022/08/11 15:50:10 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:03:23 time: 0.0582 data_time: 0.0061 memory: 743 2022/08/11 15:50:11 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:03:11 time: 0.0551 data_time: 0.0054 memory: 743 2022/08/11 15:50:12 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:03:07 time: 0.0541 data_time: 0.0045 memory: 743 2022/08/11 15:50:13 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:03:03 time: 0.0534 data_time: 0.0054 memory: 743 2022/08/11 15:50:15 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:05:24 time: 0.0947 data_time: 0.0148 memory: 809 2022/08/11 15:50:17 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:03:46 time: 0.0665 data_time: 0.0062 memory: 809 2022/08/11 15:50:18 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:03:28 time: 0.0618 data_time: 0.0051 memory: 809 2022/08/11 15:50:19 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:03:12 time: 0.0572 data_time: 0.0051 memory: 809 2022/08/11 15:50:20 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:02:57 time: 0.0532 data_time: 0.0041 memory: 773 2022/08/11 15:50:21 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:03:16 time: 0.0593 data_time: 0.0070 memory: 773 2022/08/11 15:50:23 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:03:09 time: 0.0573 data_time: 0.0040 memory: 773 2022/08/11 15:50:24 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:03:17 time: 0.0602 data_time: 0.0056 memory: 773 2022/08/11 15:50:25 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:03:44 time: 0.0687 data_time: 0.0054 memory: 809 2022/08/11 15:50:27 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:04:54 time: 0.0907 data_time: 0.0044 memory: 809 2022/08/11 15:50:28 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:03:29 time: 0.0651 data_time: 0.0046 memory: 809 2022/08/11 15:50:30 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:03:35 time: 0.0672 data_time: 0.0061 memory: 809 2022/08/11 15:50:31 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:03:14 time: 0.0611 data_time: 0.0045 memory: 809 2022/08/11 15:50:32 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:02:57 time: 0.0563 data_time: 0.0057 memory: 743 2022/08/11 15:50:33 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:03:02 time: 0.0580 data_time: 0.0047 memory: 743 2022/08/11 15:50:34 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:03:04 time: 0.0592 data_time: 0.0062 memory: 743 2022/08/11 15:50:36 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:03:07 time: 0.0604 data_time: 0.0072 memory: 743 2022/08/11 15:50:37 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:03:32 time: 0.0690 data_time: 0.0073 memory: 809 2022/08/11 15:50:39 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:04:51 time: 0.0953 data_time: 0.0071 memory: 809 2022/08/11 15:50:40 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:03:33 time: 0.0701 data_time: 0.0082 memory: 809 2022/08/11 15:50:42 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:03:16 time: 0.0651 data_time: 0.0055 memory: 809 2022/08/11 15:50:43 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:03:17 time: 0.0656 data_time: 0.0052 memory: 809 2022/08/11 15:50:44 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:03:16 time: 0.0658 data_time: 0.0047 memory: 809 2022/08/11 15:50:45 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:03:08 time: 0.0638 data_time: 0.0051 memory: 809 2022/08/11 15:50:47 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:03:08 time: 0.0642 data_time: 0.0051 memory: 809 2022/08/11 15:50:48 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:03:20 time: 0.0685 data_time: 0.0047 memory: 809 2022/08/11 15:50:49 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:02:52 time: 0.0595 data_time: 0.0042 memory: 809 2022/08/11 15:50:50 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:02:31 time: 0.0525 data_time: 0.0039 memory: 738 2022/08/11 15:50:52 - mmengine - INFO - Epoch(val) [7][3420/6282] eta: 0:02:38 time: 0.0555 data_time: 0.0036 memory: 738 2022/08/11 15:50:53 - mmengine - INFO - Epoch(val) [7][3440/6282] eta: 0:02:29 time: 0.0526 data_time: 0.0038 memory: 738 2022/08/11 15:50:54 - mmengine - INFO - Epoch(val) [7][3460/6282] eta: 0:02:33 time: 0.0543 data_time: 0.0041 memory: 738 2022/08/11 15:50:55 - mmengine - INFO - Epoch(val) [7][3480/6282] eta: 0:02:31 time: 0.0541 data_time: 0.0051 memory: 738 2022/08/11 15:50:56 - mmengine - INFO - Epoch(val) [7][3500/6282] eta: 0:02:43 time: 0.0588 data_time: 0.0048 memory: 738 2022/08/11 15:50:57 - mmengine - INFO - Epoch(val) [7][3520/6282] eta: 0:02:40 time: 0.0581 data_time: 0.0045 memory: 738 2022/08/11 15:50:58 - mmengine - INFO - Epoch(val) [7][3540/6282] eta: 0:02:32 time: 0.0556 data_time: 0.0040 memory: 738 2022/08/11 15:51:00 - mmengine - INFO - Epoch(val) [7][3560/6282] eta: 0:03:45 time: 0.0828 data_time: 0.0046 memory: 738 2022/08/11 15:51:01 - mmengine - INFO - Epoch(val) [7][3580/6282] eta: 0:02:48 time: 0.0625 data_time: 0.0057 memory: 789 2022/08/11 15:51:02 - mmengine - INFO - Epoch(val) [7][3600/6282] eta: 0:02:40 time: 0.0599 data_time: 0.0045 memory: 789 2022/08/11 15:51:04 - mmengine - INFO - Epoch(val) [7][3620/6282] eta: 0:02:38 time: 0.0595 data_time: 0.0064 memory: 789 2022/08/11 15:51:05 - mmengine - INFO - Epoch(val) [7][3640/6282] eta: 0:02:37 time: 0.0597 data_time: 0.0042 memory: 789 2022/08/11 15:51:06 - mmengine - INFO - Epoch(val) [7][3660/6282] eta: 0:02:42 time: 0.0619 data_time: 0.0049 memory: 789 2022/08/11 15:51:07 - mmengine - INFO - Epoch(val) [7][3680/6282] eta: 0:02:50 time: 0.0655 data_time: 0.0055 memory: 809 2022/08/11 15:51:09 - mmengine - INFO - Epoch(val) [7][3700/6282] eta: 0:03:50 time: 0.0894 data_time: 0.0260 memory: 809 2022/08/11 15:51:11 - mmengine - INFO - Epoch(val) [7][3720/6282] eta: 0:04:07 time: 0.0967 data_time: 0.0322 memory: 809 2022/08/11 15:51:13 - mmengine - INFO - Epoch(val) [7][3740/6282] eta: 0:03:54 time: 0.0923 data_time: 0.0192 memory: 809 2022/08/11 15:51:15 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:03:50 time: 0.0915 data_time: 0.0325 memory: 809 2022/08/11 15:51:16 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:03:33 time: 0.0853 data_time: 0.0224 memory: 809 2022/08/11 15:51:18 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:03:44 time: 0.0904 data_time: 0.0288 memory: 809 2022/08/11 15:51:20 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:04:19 time: 0.1053 data_time: 0.0394 memory: 809 2022/08/11 15:51:22 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:03:22 time: 0.0830 data_time: 0.0209 memory: 809 2022/08/11 15:51:24 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:03:12 time: 0.0793 data_time: 0.0198 memory: 809 2022/08/11 15:51:25 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:02:40 time: 0.0668 data_time: 0.0094 memory: 809 2022/08/11 15:51:26 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:02:27 time: 0.0618 data_time: 0.0043 memory: 809 2022/08/11 15:51:28 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:02:34 time: 0.0654 data_time: 0.0050 memory: 809 2022/08/11 15:51:29 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:03:13 time: 0.0824 data_time: 0.0223 memory: 809 2022/08/11 15:51:31 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:02:35 time: 0.0669 data_time: 0.0063 memory: 809 2022/08/11 15:51:32 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:02:25 time: 0.0631 data_time: 0.0047 memory: 809 2022/08/11 15:51:33 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:02:20 time: 0.0614 data_time: 0.0048 memory: 809 2022/08/11 15:51:34 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:02:16 time: 0.0604 data_time: 0.0048 memory: 809 2022/08/11 15:51:37 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:04:46 time: 0.1277 data_time: 0.0721 memory: 902 2022/08/11 15:51:38 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:02:56 time: 0.0794 data_time: 0.0146 memory: 902 2022/08/11 15:51:40 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:02:48 time: 0.0763 data_time: 0.0079 memory: 902 2022/08/11 15:51:41 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:02:40 time: 0.0735 data_time: 0.0052 memory: 902 2022/08/11 15:51:43 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:02:41 time: 0.0747 data_time: 0.0053 memory: 902 2022/08/11 15:51:44 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:02:26 time: 0.0683 data_time: 0.0051 memory: 902 2022/08/11 15:51:45 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:01:59 time: 0.0562 data_time: 0.0051 memory: 738 2022/08/11 15:51:47 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:01:56 time: 0.0556 data_time: 0.0055 memory: 738 2022/08/11 15:51:48 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:01:54 time: 0.0552 data_time: 0.0041 memory: 738 2022/08/11 15:51:50 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:03:21 time: 0.0976 data_time: 0.0296 memory: 738 2022/08/11 15:51:51 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:01:45 time: 0.0517 data_time: 0.0089 memory: 738 2022/08/11 15:51:52 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:02:25 time: 0.0721 data_time: 0.0307 memory: 736 2022/08/11 15:51:53 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:01:34 time: 0.0471 data_time: 0.0032 memory: 736 2022/08/11 15:51:54 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:01:42 time: 0.0518 data_time: 0.0046 memory: 736 2022/08/11 15:51:55 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:01:41 time: 0.0518 data_time: 0.0040 memory: 736 2022/08/11 15:51:56 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:01:39 time: 0.0514 data_time: 0.0047 memory: 736 2022/08/11 15:51:57 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:02:02 time: 0.0636 data_time: 0.0052 memory: 809 2022/08/11 15:51:59 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:02:03 time: 0.0647 data_time: 0.0047 memory: 809 2022/08/11 15:52:00 - mmengine - INFO - Epoch(val) [7][4400/6282] eta: 0:02:37 time: 0.0839 data_time: 0.0051 memory: 809 2022/08/11 15:52:02 - mmengine - INFO - Epoch(val) [7][4420/6282] eta: 0:02:00 time: 0.0650 data_time: 0.0053 memory: 809 2022/08/11 15:52:03 - mmengine - INFO - Epoch(val) [7][4440/6282] eta: 0:01:56 time: 0.0634 data_time: 0.0053 memory: 816 2022/08/11 15:52:04 - mmengine - INFO - Epoch(val) [7][4460/6282] eta: 0:01:57 time: 0.0646 data_time: 0.0064 memory: 816 2022/08/11 15:52:06 - mmengine - INFO - Epoch(val) [7][4480/6282] eta: 0:01:56 time: 0.0647 data_time: 0.0052 memory: 816 2022/08/11 15:52:07 - mmengine - INFO - Epoch(val) [7][4500/6282] eta: 0:01:52 time: 0.0632 data_time: 0.0043 memory: 816 2022/08/11 15:52:09 - mmengine - INFO - Epoch(val) [7][4520/6282] eta: 0:03:44 time: 0.1274 data_time: 0.0719 memory: 816 2022/08/11 15:52:12 - mmengine - INFO - Epoch(val) [7][4540/6282] eta: 0:03:36 time: 0.1243 data_time: 0.0803 memory: 743 2022/08/11 15:52:13 - mmengine - INFO - Epoch(val) [7][4560/6282] eta: 0:01:22 time: 0.0480 data_time: 0.0032 memory: 743 2022/08/11 15:52:14 - mmengine - INFO - Epoch(val) [7][4580/6282] eta: 0:01:28 time: 0.0519 data_time: 0.0046 memory: 743 2022/08/11 15:52:15 - mmengine - INFO - Epoch(val) [7][4600/6282] eta: 0:01:32 time: 0.0548 data_time: 0.0049 memory: 743 2022/08/11 15:52:16 - mmengine - INFO - Epoch(val) [7][4620/6282] eta: 0:01:31 time: 0.0552 data_time: 0.0046 memory: 743 2022/08/11 15:52:17 - mmengine - INFO - Epoch(val) [7][4640/6282] eta: 0:01:48 time: 0.0662 data_time: 0.0050 memory: 816 2022/08/11 15:52:19 - mmengine - INFO - Epoch(val) [7][4660/6282] eta: 0:01:40 time: 0.0622 data_time: 0.0042 memory: 816 2022/08/11 15:52:20 - mmengine - INFO - Epoch(val) [7][4680/6282] eta: 0:01:47 time: 0.0668 data_time: 0.0049 memory: 816 2022/08/11 15:52:21 - mmengine - INFO - Epoch(val) [7][4700/6282] eta: 0:01:39 time: 0.0632 data_time: 0.0049 memory: 816 2022/08/11 15:52:23 - mmengine - INFO - Epoch(val) [7][4720/6282] eta: 0:01:44 time: 0.0667 data_time: 0.0044 memory: 816 2022/08/11 15:52:24 - mmengine - INFO - Epoch(val) [7][4740/6282] eta: 0:01:26 time: 0.0558 data_time: 0.0053 memory: 768 2022/08/11 15:52:25 - mmengine - INFO - Epoch(val) [7][4760/6282] eta: 0:01:22 time: 0.0542 data_time: 0.0043 memory: 768 2022/08/11 15:52:26 - mmengine - INFO - Epoch(val) [7][4780/6282] eta: 0:01:30 time: 0.0603 data_time: 0.0061 memory: 768 2022/08/11 15:52:27 - mmengine - INFO - Epoch(val) [7][4800/6282] eta: 0:01:24 time: 0.0569 data_time: 0.0037 memory: 768 2022/08/11 15:52:28 - mmengine - INFO - Epoch(val) [7][4820/6282] eta: 0:01:25 time: 0.0583 data_time: 0.0049 memory: 809 2022/08/11 15:52:30 - mmengine - INFO - Epoch(val) [7][4840/6282] eta: 0:01:33 time: 0.0650 data_time: 0.0048 memory: 809 2022/08/11 15:52:31 - mmengine - INFO - Epoch(val) [7][4860/6282] eta: 0:01:31 time: 0.0645 data_time: 0.0047 memory: 809 2022/08/11 15:52:32 - mmengine - INFO - Epoch(val) [7][4880/6282] eta: 0:01:30 time: 0.0649 data_time: 0.0055 memory: 809 2022/08/11 15:52:34 - mmengine - INFO - Epoch(val) [7][4900/6282] eta: 0:01:28 time: 0.0643 data_time: 0.0047 memory: 809 2022/08/11 15:52:35 - mmengine - INFO - Epoch(val) [7][4920/6282] eta: 0:01:32 time: 0.0676 data_time: 0.0050 memory: 811 2022/08/11 15:52:36 - mmengine - INFO - Epoch(val) [7][4940/6282] eta: 0:01:29 time: 0.0666 data_time: 0.0070 memory: 811 2022/08/11 15:52:38 - mmengine - INFO - Epoch(val) [7][4960/6282] eta: 0:01:28 time: 0.0668 data_time: 0.0062 memory: 811 2022/08/11 15:52:39 - mmengine - INFO - Epoch(val) [7][4980/6282] eta: 0:01:56 time: 0.0897 data_time: 0.0051 memory: 811 2022/08/11 15:52:41 - mmengine - INFO - Epoch(val) [7][5000/6282] eta: 0:01:22 time: 0.0640 data_time: 0.0046 memory: 811 2022/08/11 15:52:42 - mmengine - INFO - Epoch(val) [7][5020/6282] eta: 0:01:14 time: 0.0591 data_time: 0.0059 memory: 811 2022/08/11 15:52:43 - mmengine - INFO - Epoch(val) [7][5040/6282] eta: 0:01:11 time: 0.0578 data_time: 0.0068 memory: 743 2022/08/11 15:52:44 - mmengine - INFO - Epoch(val) [7][5060/6282] eta: 0:01:06 time: 0.0547 data_time: 0.0053 memory: 743 2022/08/11 15:52:45 - mmengine - INFO - Epoch(val) [7][5080/6282] eta: 0:01:05 time: 0.0545 data_time: 0.0053 memory: 743 2022/08/11 15:52:46 - mmengine - INFO - Epoch(val) [7][5100/6282] eta: 0:01:07 time: 0.0574 data_time: 0.0061 memory: 743 2022/08/11 15:52:48 - mmengine - INFO - Epoch(val) [7][5120/6282] eta: 0:01:08 time: 0.0590 data_time: 0.0046 memory: 743 2022/08/11 15:52:49 - mmengine - INFO - Epoch(val) [7][5140/6282] eta: 0:01:04 time: 0.0562 data_time: 0.0048 memory: 738 2022/08/11 15:52:50 - mmengine - INFO - Epoch(val) [7][5160/6282] eta: 0:01:03 time: 0.0565 data_time: 0.0043 memory: 738 2022/08/11 15:52:51 - mmengine - INFO - Epoch(val) [7][5180/6282] eta: 0:01:00 time: 0.0550 data_time: 0.0043 memory: 738 2022/08/11 15:52:52 - mmengine - INFO - Epoch(val) [7][5200/6282] eta: 0:00:58 time: 0.0536 data_time: 0.0046 memory: 738 2022/08/11 15:52:53 - mmengine - INFO - Epoch(val) [7][5220/6282] eta: 0:00:58 time: 0.0550 data_time: 0.0043 memory: 738 2022/08/11 15:52:54 - mmengine - INFO - Epoch(val) [7][5240/6282] eta: 0:00:59 time: 0.0572 data_time: 0.0045 memory: 736 2022/08/11 15:52:55 - mmengine - INFO - Epoch(val) [7][5260/6282] eta: 0:00:56 time: 0.0553 data_time: 0.0049 memory: 736 2022/08/11 15:52:57 - mmengine - INFO - Epoch(val) [7][5280/6282] eta: 0:00:55 time: 0.0555 data_time: 0.0053 memory: 736 2022/08/11 15:52:58 - mmengine - INFO - Epoch(val) [7][5300/6282] eta: 0:00:58 time: 0.0593 data_time: 0.0057 memory: 736 2022/08/11 15:52:59 - mmengine - INFO - Epoch(val) [7][5320/6282] eta: 0:01:06 time: 0.0689 data_time: 0.0053 memory: 738 2022/08/11 15:53:00 - mmengine - INFO - Epoch(val) [7][5340/6282] eta: 0:00:50 time: 0.0531 data_time: 0.0043 memory: 738 2022/08/11 15:53:03 - mmengine - INFO - Epoch(val) [7][5360/6282] eta: 0:01:57 time: 0.1278 data_time: 0.0868 memory: 738 2022/08/11 15:53:05 - mmengine - INFO - Epoch(val) [7][5380/6282] eta: 0:01:51 time: 0.1233 data_time: 0.0800 memory: 738 2022/08/11 15:53:06 - mmengine - INFO - Epoch(val) [7][5400/6282] eta: 0:00:40 time: 0.0456 data_time: 0.0030 memory: 738 2022/08/11 15:53:08 - mmengine - INFO - Epoch(val) [7][5420/6282] eta: 0:01:03 time: 0.0737 data_time: 0.0263 memory: 738 2022/08/11 15:53:09 - mmengine - INFO - Epoch(val) [7][5440/6282] eta: 0:00:41 time: 0.0498 data_time: 0.0038 memory: 738 2022/08/11 15:53:10 - mmengine - INFO - Epoch(val) [7][5460/6282] eta: 0:00:44 time: 0.0536 data_time: 0.0042 memory: 738 2022/08/11 15:53:11 - mmengine - INFO - Epoch(val) [7][5480/6282] eta: 0:00:44 time: 0.0558 data_time: 0.0043 memory: 738 2022/08/11 15:53:12 - mmengine - INFO - Epoch(val) [7][5500/6282] eta: 0:00:45 time: 0.0577 data_time: 0.0056 memory: 738 2022/08/11 15:53:13 - mmengine - INFO - Epoch(val) [7][5520/6282] eta: 0:00:43 time: 0.0565 data_time: 0.0041 memory: 763 2022/08/11 15:53:14 - mmengine - INFO - Epoch(val) [7][5540/6282] eta: 0:00:42 time: 0.0575 data_time: 0.0058 memory: 763 2022/08/11 15:53:16 - mmengine - INFO - Epoch(val) [7][5560/6282] eta: 0:00:42 time: 0.0584 data_time: 0.0048 memory: 763 2022/08/11 15:53:17 - mmengine - INFO - Epoch(val) [7][5580/6282] eta: 0:00:41 time: 0.0592 data_time: 0.0060 memory: 763 2022/08/11 15:53:18 - mmengine - INFO - Epoch(val) [7][5600/6282] eta: 0:00:38 time: 0.0562 data_time: 0.0054 memory: 763 2022/08/11 15:53:19 - mmengine - INFO - Epoch(val) [7][5620/6282] eta: 0:00:37 time: 0.0572 data_time: 0.0046 memory: 763 2022/08/11 15:53:20 - mmengine - INFO - Epoch(val) [7][5640/6282] eta: 0:00:34 time: 0.0532 data_time: 0.0046 memory: 738 2022/08/11 15:53:21 - mmengine - INFO - Epoch(val) [7][5660/6282] eta: 0:00:33 time: 0.0537 data_time: 0.0041 memory: 738 2022/08/11 15:53:22 - mmengine - INFO - Epoch(val) [7][5680/6282] eta: 0:00:33 time: 0.0549 data_time: 0.0052 memory: 738 2022/08/11 15:53:23 - mmengine - INFO - Epoch(val) [7][5700/6282] eta: 0:00:31 time: 0.0546 data_time: 0.0048 memory: 738 2022/08/11 15:53:24 - mmengine - INFO - Epoch(val) [7][5720/6282] eta: 0:00:32 time: 0.0570 data_time: 0.0044 memory: 780 2022/08/11 15:53:26 - mmengine - INFO - Epoch(val) [7][5740/6282] eta: 0:00:39 time: 0.0727 data_time: 0.0226 memory: 780 2022/08/11 15:53:28 - mmengine - INFO - Epoch(val) [7][5760/6282] eta: 0:00:55 time: 0.1057 data_time: 0.0540 memory: 780 2022/08/11 15:53:29 - mmengine - INFO - Epoch(val) [7][5780/6282] eta: 0:00:30 time: 0.0616 data_time: 0.0091 memory: 780 2022/08/11 15:53:30 - mmengine - INFO - Epoch(val) [7][5800/6282] eta: 0:00:27 time: 0.0572 data_time: 0.0044 memory: 780 2022/08/11 15:53:32 - mmengine - INFO - Epoch(val) [7][5820/6282] eta: 0:00:27 time: 0.0596 data_time: 0.0059 memory: 780 2022/08/11 15:53:33 - mmengine - INFO - Epoch(val) [7][5840/6282] eta: 0:00:26 time: 0.0602 data_time: 0.0070 memory: 763 2022/08/11 15:53:34 - mmengine - INFO - Epoch(val) [7][5860/6282] eta: 0:00:25 time: 0.0596 data_time: 0.0065 memory: 763 2022/08/11 15:53:36 - mmengine - INFO - Epoch(val) [7][5880/6282] eta: 0:00:33 time: 0.0822 data_time: 0.0046 memory: 763 2022/08/11 15:53:37 - mmengine - INFO - Epoch(val) [7][5900/6282] eta: 0:00:23 time: 0.0624 data_time: 0.0067 memory: 763 2022/08/11 15:53:38 - mmengine - INFO - Epoch(val) [7][5920/6282] eta: 0:00:20 time: 0.0553 data_time: 0.0041 memory: 763 2022/08/11 15:53:39 - mmengine - INFO - Epoch(val) [7][5940/6282] eta: 0:00:19 time: 0.0560 data_time: 0.0046 memory: 738 2022/08/11 15:53:40 - mmengine - INFO - Epoch(val) [7][5960/6282] eta: 0:00:17 time: 0.0558 data_time: 0.0054 memory: 738 2022/08/11 15:53:42 - mmengine - INFO - Epoch(val) [7][5980/6282] eta: 0:00:17 time: 0.0573 data_time: 0.0049 memory: 738 2022/08/11 15:53:43 - mmengine - INFO - Epoch(val) [7][6000/6282] eta: 0:00:19 time: 0.0677 data_time: 0.0067 memory: 809 2022/08/11 15:53:44 - mmengine - INFO - Epoch(val) [7][6020/6282] eta: 0:00:17 time: 0.0686 data_time: 0.0079 memory: 809 2022/08/11 15:53:46 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:15 time: 0.0630 data_time: 0.0050 memory: 809 2022/08/11 15:53:47 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:14 time: 0.0652 data_time: 0.0061 memory: 809 2022/08/11 15:53:49 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:17 time: 0.0865 data_time: 0.0054 memory: 809 2022/08/11 15:53:54 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:52 time: 0.2887 data_time: 0.2342 memory: 809 2022/08/11 15:53:55 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:08 time: 0.0534 data_time: 0.0029 memory: 809 2022/08/11 15:53:56 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:07 time: 0.0533 data_time: 0.0029 memory: 809 2022/08/11 15:53:58 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:06 time: 0.0536 data_time: 0.0031 memory: 809 2022/08/11 15:53:59 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:05 time: 0.0550 data_time: 0.0042 memory: 809 2022/08/11 15:54:00 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:06 time: 0.0752 data_time: 0.0038 memory: 809 2022/08/11 15:54:01 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:03 time: 0.0526 data_time: 0.0026 memory: 809 2022/08/11 15:54:02 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:02 time: 0.0531 data_time: 0.0029 memory: 809 2022/08/11 15:54:03 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:01 time: 0.0531 data_time: 0.0028 memory: 809 2022/08/11 15:54:04 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0531 data_time: 0.0029 memory: 809 2022/08/11 15:59:16 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.2659 2022/08/11 15:59:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_7.pth is removed 2022/08/11 15:59:20 - mmengine - INFO - The best checkpoint with 0.2659 mAP/mAP@0.5IOU at 8 epoch is saved to best_mAP/mAP@0.5IOU_epoch_8.pth. 2022/08/11 15:59:32 - mmengine - INFO - Epoch(train) [8][20/3842] lr: 2.3082e-02 eta: 1:40:23 time: 0.5848 data_time: 0.0911 memory: 10484 grad_norm: 0.2515 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7262 recall@top3: 0.8571 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4429 loss_action_cls: 0.0554 loss: 0.0554 2022/08/11 15:59:41 - mmengine - INFO - Epoch(train) [8][40/3842] lr: 2.3011e-02 eta: 1:40:12 time: 0.4913 data_time: 0.0179 memory: 10484 grad_norm: 0.2506 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6771 recall@top3: 0.8438 prec@top3: 0.6250 recall@top5: 0.9062 prec@top5: 0.4125 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 15:59:52 - mmengine - INFO - Epoch(train) [8][60/3842] lr: 2.2941e-02 eta: 1:40:02 time: 0.5168 data_time: 0.0198 memory: 10484 grad_norm: 0.2460 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.8353 recall@top3: 0.7967 prec@top3: 0.8800 recall@top5: 0.9467 prec@top5: 0.6480 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 16:00:02 - mmengine - INFO - Epoch(train) [8][80/3842] lr: 2.2870e-02 eta: 1:39:51 time: 0.5165 data_time: 0.0181 memory: 10484 grad_norm: 0.2601 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.8250 recall@top3: 0.7283 prec@top3: 0.6167 recall@top5: 0.8550 prec@top5: 0.4400 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 16:00:13 - mmengine - INFO - Epoch(train) [8][100/3842] lr: 2.2800e-02 eta: 1:39:41 time: 0.5285 data_time: 0.0180 memory: 10484 grad_norm: 0.2658 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.9107 recall@top3: 0.8929 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0493 loss: 0.0493 2022/08/11 16:00:16 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 16:00:22 - mmengine - INFO - Epoch(train) [8][120/3842] lr: 2.2729e-02 eta: 1:39:30 time: 0.4937 data_time: 0.0164 memory: 10484 grad_norm: 0.2533 recall@thr=0.5: 0.9226 prec@thr=0.5: 0.9167 recall@top3: 0.9464 prec@top3: 0.5714 recall@top5: 0.9464 prec@top5: 0.3429 loss_action_cls: 0.0459 loss: 0.0459 2022/08/11 16:00:33 - mmengine - INFO - Epoch(train) [8][140/3842] lr: 2.2659e-02 eta: 1:39:20 time: 0.5092 data_time: 0.0155 memory: 10484 grad_norm: 0.2691 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.9167 prec@top3: 0.6389 recall@top5: 0.9167 prec@top5: 0.3833 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 16:00:43 - mmengine - INFO - Epoch(train) [8][160/3842] lr: 2.2588e-02 eta: 1:39:09 time: 0.5230 data_time: 0.0185 memory: 10484 grad_norm: 0.2755 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8642 recall@top3: 0.8117 prec@top3: 0.7407 recall@top5: 0.9136 prec@top5: 0.5037 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 16:00:54 - mmengine - INFO - Epoch(train) [8][180/3842] lr: 2.2518e-02 eta: 1:38:59 time: 0.5263 data_time: 0.0187 memory: 10484 grad_norm: 0.2715 recall@thr=0.5: 0.7289 prec@thr=0.5: 0.7833 recall@top3: 0.8489 prec@top3: 0.8444 recall@top5: 0.9533 prec@top5: 0.5733 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 16:01:05 - mmengine - INFO - Epoch(train) [8][200/3842] lr: 2.2448e-02 eta: 1:38:49 time: 0.5658 data_time: 0.0197 memory: 10484 grad_norm: 0.2658 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8646 recall@top3: 0.8854 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0444 loss: 0.0444 2022/08/11 16:01:15 - mmengine - INFO - Epoch(train) [8][220/3842] lr: 2.2378e-02 eta: 1:38:38 time: 0.5246 data_time: 0.0194 memory: 10484 grad_norm: 0.2715 recall@thr=0.5: 0.8800 prec@thr=0.5: 0.8733 recall@top3: 0.9200 prec@top3: 0.7467 recall@top5: 1.0000 prec@top5: 0.4880 loss_action_cls: 0.0506 loss: 0.0506 2022/08/11 16:01:25 - mmengine - INFO - Epoch(train) [8][240/3842] lr: 2.2307e-02 eta: 1:38:27 time: 0.4926 data_time: 0.0187 memory: 10484 grad_norm: 0.2640 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.6818 recall@top3: 0.7879 prec@top3: 0.5455 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0528 loss: 0.0528 2022/08/11 16:01:36 - mmengine - INFO - Epoch(train) [8][260/3842] lr: 2.2237e-02 eta: 1:38:17 time: 0.5279 data_time: 0.0158 memory: 10484 grad_norm: 0.2624 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.7029 recall@top3: 0.7246 prec@top3: 0.6232 recall@top5: 0.9420 prec@top5: 0.4783 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 16:01:46 - mmengine - INFO - Epoch(train) [8][280/3842] lr: 2.2167e-02 eta: 1:38:06 time: 0.4945 data_time: 0.0234 memory: 10484 grad_norm: 0.2611 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.5980 recall@top3: 0.6471 prec@top3: 0.5490 recall@top5: 0.9216 prec@top5: 0.4235 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 16:01:57 - mmengine - INFO - Epoch(train) [8][300/3842] lr: 2.2097e-02 eta: 1:37:56 time: 0.5509 data_time: 0.0176 memory: 10484 grad_norm: 0.2610 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.9259 recall@top3: 0.8593 prec@top3: 0.7778 recall@top5: 0.9000 prec@top5: 0.5000 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 16:02:07 - mmengine - INFO - Epoch(train) [8][320/3842] lr: 2.2028e-02 eta: 1:37:45 time: 0.4920 data_time: 0.0209 memory: 10484 grad_norm: 0.2586 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8333 recall@top3: 0.7944 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.5867 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 16:02:18 - mmengine - INFO - Epoch(train) [8][340/3842] lr: 2.1958e-02 eta: 1:37:35 time: 0.5428 data_time: 0.0188 memory: 10484 grad_norm: 0.2653 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.7000 recall@top3: 0.8111 prec@top3: 0.5333 recall@top5: 0.8778 prec@top5: 0.3600 loss_action_cls: 0.0525 loss: 0.0525 2022/08/11 16:02:27 - mmengine - INFO - Epoch(train) [8][360/3842] lr: 2.1888e-02 eta: 1:37:24 time: 0.4927 data_time: 0.0222 memory: 10484 grad_norm: 0.2727 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.9103 recall@top3: 0.8013 prec@top3: 0.7179 recall@top5: 0.9423 prec@top5: 0.5231 loss_action_cls: 0.0514 loss: 0.0514 2022/08/11 16:02:38 - mmengine - INFO - Epoch(train) [8][380/3842] lr: 2.1818e-02 eta: 1:37:14 time: 0.5224 data_time: 0.0154 memory: 10484 grad_norm: 0.2750 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8519 recall@top3: 0.8935 prec@top3: 0.6481 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0547 loss: 0.0547 2022/08/11 16:02:48 - mmengine - INFO - Epoch(train) [8][400/3842] lr: 2.1749e-02 eta: 1:37:03 time: 0.4969 data_time: 0.0251 memory: 10484 grad_norm: 0.2546 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.8529 recall@top3: 0.8775 prec@top3: 0.7843 recall@top5: 0.9706 prec@top5: 0.5294 loss_action_cls: 0.0520 loss: 0.0520 2022/08/11 16:02:59 - mmengine - INFO - Epoch(train) [8][420/3842] lr: 2.1679e-02 eta: 1:36:53 time: 0.5393 data_time: 0.0153 memory: 10484 grad_norm: 0.2751 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8194 recall@top3: 0.8704 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 16:03:11 - mmengine - INFO - Epoch(train) [8][440/3842] lr: 2.1610e-02 eta: 1:36:43 time: 0.6074 data_time: 0.0195 memory: 10484 grad_norm: 0.2528 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8155 recall@top3: 0.8595 prec@top3: 0.7381 recall@top5: 0.9857 prec@top5: 0.5429 loss_action_cls: 0.0509 loss: 0.0509 2022/08/11 16:03:22 - mmengine - INFO - Epoch(train) [8][460/3842] lr: 2.1540e-02 eta: 1:36:33 time: 0.5869 data_time: 0.0195 memory: 10484 grad_norm: 0.2530 recall@thr=0.5: 0.9231 prec@thr=0.5: 0.9808 recall@top3: 0.9423 prec@top3: 0.8205 recall@top5: 0.9615 prec@top5: 0.5077 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 16:03:32 - mmengine - INFO - Epoch(train) [8][480/3842] lr: 2.1471e-02 eta: 1:36:22 time: 0.4987 data_time: 0.0169 memory: 10484 grad_norm: 0.2723 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.8778 prec@top5: 0.4133 loss_action_cls: 0.0544 loss: 0.0544 2022/08/11 16:03:43 - mmengine - INFO - Epoch(train) [8][500/3842] lr: 2.1402e-02 eta: 1:36:12 time: 0.5142 data_time: 0.0157 memory: 10484 grad_norm: 0.2641 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.7840 recall@top3: 0.6933 prec@top3: 0.7333 recall@top5: 0.8533 prec@top5: 0.5600 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 16:03:53 - mmengine - INFO - Epoch(train) [8][520/3842] lr: 2.1333e-02 eta: 1:36:01 time: 0.5133 data_time: 0.0187 memory: 10484 grad_norm: 0.2621 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.9500 recall@top3: 0.9000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0504 loss: 0.0504 2022/08/11 16:04:03 - mmengine - INFO - Epoch(train) [8][540/3842] lr: 2.1263e-02 eta: 1:35:51 time: 0.5153 data_time: 0.0186 memory: 10484 grad_norm: 0.2702 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.7000 recall@top3: 0.8444 prec@top3: 0.6222 recall@top5: 0.9111 prec@top5: 0.4133 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 16:04:13 - mmengine - INFO - Epoch(train) [8][560/3842] lr: 2.1194e-02 eta: 1:35:40 time: 0.5092 data_time: 0.0181 memory: 10484 grad_norm: 0.2704 recall@thr=0.5: 0.8796 prec@thr=0.5: 0.8843 recall@top3: 0.9537 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0475 loss: 0.0475 2022/08/11 16:04:23 - mmengine - INFO - Epoch(train) [8][580/3842] lr: 2.1125e-02 eta: 1:35:29 time: 0.4972 data_time: 0.0183 memory: 10484 grad_norm: 0.2521 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.7949 recall@top3: 0.7821 prec@top3: 0.6154 recall@top5: 0.8718 prec@top5: 0.4308 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 16:04:34 - mmengine - INFO - Epoch(train) [8][600/3842] lr: 2.1056e-02 eta: 1:35:19 time: 0.5318 data_time: 0.0146 memory: 10484 grad_norm: 0.2682 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8452 recall@top3: 0.7738 prec@top3: 0.8095 recall@top5: 0.9524 prec@top5: 0.6143 loss_action_cls: 0.0483 loss: 0.0483 2022/08/11 16:04:46 - mmengine - INFO - Epoch(train) [8][620/3842] lr: 2.0988e-02 eta: 1:35:09 time: 0.5938 data_time: 0.0197 memory: 10484 grad_norm: 0.2580 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.9667 recall@top3: 0.8722 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.4533 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 16:04:56 - mmengine - INFO - Epoch(train) [8][640/3842] lr: 2.0919e-02 eta: 1:34:59 time: 0.5195 data_time: 0.0190 memory: 10484 grad_norm: 0.2722 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.7083 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 0.9208 prec@top5: 0.4000 loss_action_cls: 0.0493 loss: 0.0493 2022/08/11 16:05:06 - mmengine - INFO - Epoch(train) [8][660/3842] lr: 2.0850e-02 eta: 1:34:48 time: 0.4883 data_time: 0.0199 memory: 10484 grad_norm: 0.2621 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.7958 recall@top3: 0.7979 prec@top3: 0.5625 recall@top5: 0.9542 prec@top5: 0.4250 loss_action_cls: 0.0536 loss: 0.0536 2022/08/11 16:05:16 - mmengine - INFO - Epoch(train) [8][680/3842] lr: 2.0781e-02 eta: 1:34:37 time: 0.5194 data_time: 0.0152 memory: 10484 grad_norm: 0.2610 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9333 recall@top3: 0.8889 prec@top3: 0.6889 recall@top5: 0.9611 prec@top5: 0.4667 loss_action_cls: 0.0493 loss: 0.0493 2022/08/11 16:05:26 - mmengine - INFO - Epoch(train) [8][700/3842] lr: 2.0713e-02 eta: 1:34:27 time: 0.4914 data_time: 0.0171 memory: 10484 grad_norm: 0.2679 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9667 recall@top3: 0.9167 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 16:05:37 - mmengine - INFO - Epoch(train) [8][720/3842] lr: 2.0644e-02 eta: 1:34:16 time: 0.5140 data_time: 0.0157 memory: 10484 grad_norm: 0.2613 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8750 recall@top3: 0.8611 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 16:05:46 - mmengine - INFO - Epoch(train) [8][740/3842] lr: 2.0576e-02 eta: 1:34:05 time: 0.4898 data_time: 0.0176 memory: 10484 grad_norm: 0.2579 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.7955 recall@top3: 0.8636 prec@top3: 0.7273 recall@top5: 0.9000 prec@top5: 0.4727 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 16:05:57 - mmengine - INFO - Epoch(train) [8][760/3842] lr: 2.0507e-02 eta: 1:33:55 time: 0.5081 data_time: 0.0180 memory: 10484 grad_norm: 0.2523 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7593 recall@top3: 0.6852 prec@top3: 0.6481 recall@top5: 0.8981 prec@top5: 0.5111 loss_action_cls: 0.0462 loss: 0.0462 2022/08/11 16:06:06 - mmengine - INFO - Epoch(train) [8][780/3842] lr: 2.0439e-02 eta: 1:33:44 time: 0.4922 data_time: 0.0189 memory: 10484 grad_norm: 0.2606 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8194 recall@top3: 0.8333 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0491 loss: 0.0491 2022/08/11 16:06:17 - mmengine - INFO - Epoch(train) [8][800/3842] lr: 2.0371e-02 eta: 1:33:33 time: 0.5108 data_time: 0.0165 memory: 10484 grad_norm: 0.2607 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8667 recall@top3: 0.8500 prec@top3: 0.8167 recall@top5: 0.9500 prec@top5: 0.5500 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 16:06:26 - mmengine - INFO - Epoch(train) [8][820/3842] lr: 2.0303e-02 eta: 1:33:23 time: 0.4883 data_time: 0.0176 memory: 10484 grad_norm: 0.2715 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8377 recall@top3: 0.7982 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.5368 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 16:06:37 - mmengine - INFO - Epoch(train) [8][840/3842] lr: 2.0235e-02 eta: 1:33:12 time: 0.5152 data_time: 0.0166 memory: 10484 grad_norm: 0.2665 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8281 recall@top3: 0.8542 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0586 loss: 0.0586 2022/08/11 16:06:46 - mmengine - INFO - Epoch(train) [8][860/3842] lr: 2.0167e-02 eta: 1:33:01 time: 0.4901 data_time: 0.0173 memory: 10484 grad_norm: 0.2562 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.7000 recall@top3: 0.7056 prec@top3: 0.6222 recall@top5: 0.8667 prec@top5: 0.4533 loss_action_cls: 0.0497 loss: 0.0497 2022/08/11 16:06:56 - mmengine - INFO - Epoch(train) [8][880/3842] lr: 2.0099e-02 eta: 1:32:51 time: 0.4952 data_time: 0.0165 memory: 10484 grad_norm: 0.2649 recall@thr=0.5: 0.6065 prec@thr=0.5: 0.6852 recall@top3: 0.7454 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4889 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 16:07:06 - mmengine - INFO - Epoch(train) [8][900/3842] lr: 2.0031e-02 eta: 1:32:40 time: 0.4909 data_time: 0.0182 memory: 10484 grad_norm: 0.2633 recall@thr=0.5: 0.8604 prec@thr=0.5: 0.9062 recall@top3: 0.9187 prec@top3: 0.7083 recall@top5: 0.9844 prec@top5: 0.4875 loss_action_cls: 0.0487 loss: 0.0487 2022/08/11 16:07:17 - mmengine - INFO - Epoch(train) [8][920/3842] lr: 1.9963e-02 eta: 1:32:30 time: 0.5140 data_time: 0.0133 memory: 10484 grad_norm: 0.2744 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.9167 recall@top3: 0.8438 prec@top3: 0.4792 recall@top5: 0.9583 prec@top5: 0.3250 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 16:07:27 - mmengine - INFO - Epoch(train) [8][940/3842] lr: 1.9895e-02 eta: 1:32:19 time: 0.5148 data_time: 0.0184 memory: 10484 grad_norm: 0.2699 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8016 recall@top3: 0.9127 prec@top3: 0.6508 recall@top5: 0.9841 prec@top5: 0.4190 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 16:07:37 - mmengine - INFO - Epoch(train) [8][960/3842] lr: 1.9828e-02 eta: 1:32:09 time: 0.5336 data_time: 0.0188 memory: 10484 grad_norm: 0.2574 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8627 recall@top3: 0.7843 prec@top3: 0.6078 recall@top5: 0.9657 prec@top5: 0.4824 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 16:07:48 - mmengine - INFO - Epoch(train) [8][980/3842] lr: 1.9760e-02 eta: 1:31:58 time: 0.5205 data_time: 0.0185 memory: 10484 grad_norm: 0.2743 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8542 recall@top3: 0.8229 prec@top3: 0.5833 recall@top5: 0.9062 prec@top5: 0.4000 loss_action_cls: 0.0517 loss: 0.0517 2022/08/11 16:07:58 - mmengine - INFO - Epoch(train) [8][1000/3842] lr: 1.9693e-02 eta: 1:31:47 time: 0.4968 data_time: 0.0175 memory: 10484 grad_norm: 0.2796 recall@thr=0.5: 0.7139 prec@thr=0.5: 0.7692 recall@top3: 0.6907 prec@top3: 0.6154 recall@top5: 0.8037 prec@top5: 0.4769 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 16:08:08 - mmengine - INFO - Epoch(train) [8][1020/3842] lr: 1.9625e-02 eta: 1:31:37 time: 0.5036 data_time: 0.0166 memory: 10484 grad_norm: 0.2500 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8667 recall@top3: 0.9000 prec@top3: 0.6333 recall@top5: 1.0000 prec@top5: 0.4200 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 16:08:18 - mmengine - INFO - Epoch(train) [8][1040/3842] lr: 1.9558e-02 eta: 1:31:26 time: 0.5194 data_time: 0.0173 memory: 10484 grad_norm: 0.2576 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7756 recall@top3: 0.8141 prec@top3: 0.6923 recall@top5: 0.9295 prec@top5: 0.4769 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 16:08:28 - mmengine - INFO - Epoch(train) [8][1060/3842] lr: 1.9491e-02 eta: 1:31:16 time: 0.4895 data_time: 0.0174 memory: 10484 grad_norm: 0.2674 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6667 recall@top3: 0.7833 prec@top3: 0.5667 recall@top5: 0.8667 prec@top5: 0.3800 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 16:08:38 - mmengine - INFO - Epoch(train) [8][1080/3842] lr: 1.9423e-02 eta: 1:31:05 time: 0.5164 data_time: 0.0139 memory: 10484 grad_norm: 0.2620 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8646 recall@top3: 0.8385 prec@top3: 0.6875 recall@top5: 0.9323 prec@top5: 0.4750 loss_action_cls: 0.0443 loss: 0.0443 2022/08/11 16:08:48 - mmengine - INFO - Epoch(train) [8][1100/3842] lr: 1.9356e-02 eta: 1:30:54 time: 0.5016 data_time: 0.0175 memory: 10484 grad_norm: 0.2688 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.9167 recall@top3: 0.8625 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0502 loss: 0.0502 2022/08/11 16:08:52 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 16:08:59 - mmengine - INFO - Epoch(train) [8][1120/3842] lr: 1.9289e-02 eta: 1:30:44 time: 0.5146 data_time: 0.0230 memory: 10484 grad_norm: 0.2518 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8194 recall@top3: 0.8889 prec@top3: 0.6389 recall@top5: 0.9722 prec@top5: 0.4333 loss_action_cls: 0.0487 loss: 0.0487 2022/08/11 16:09:09 - mmengine - INFO - Epoch(train) [8][1140/3842] lr: 1.9222e-02 eta: 1:30:33 time: 0.4898 data_time: 0.0178 memory: 10484 grad_norm: 0.2629 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7558 recall@top3: 0.8167 prec@top3: 0.6833 recall@top5: 0.9375 prec@top5: 0.4900 loss_action_cls: 0.0469 loss: 0.0469 2022/08/11 16:09:19 - mmengine - INFO - Epoch(train) [8][1160/3842] lr: 1.9155e-02 eta: 1:30:23 time: 0.5142 data_time: 0.0160 memory: 10484 grad_norm: 0.2676 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.9762 recall@top3: 0.9008 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.4762 loss_action_cls: 0.0459 loss: 0.0459 2022/08/11 16:09:29 - mmengine - INFO - Epoch(train) [8][1180/3842] lr: 1.9088e-02 eta: 1:30:12 time: 0.4928 data_time: 0.0189 memory: 10484 grad_norm: 0.2605 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.9226 recall@top3: 0.8750 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 16:09:39 - mmengine - INFO - Epoch(train) [8][1200/3842] lr: 1.9022e-02 eta: 1:30:01 time: 0.5087 data_time: 0.0161 memory: 10484 grad_norm: 0.2640 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.8269 recall@top3: 0.8269 prec@top3: 0.7692 recall@top5: 0.9231 prec@top5: 0.5385 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 16:09:49 - mmengine - INFO - Epoch(train) [8][1220/3842] lr: 1.8955e-02 eta: 1:29:51 time: 0.4893 data_time: 0.0180 memory: 10484 grad_norm: 0.2621 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.7857 recall@top3: 0.9643 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.3714 loss_action_cls: 0.0490 loss: 0.0490 2022/08/11 16:09:59 - mmengine - INFO - Epoch(train) [8][1240/3842] lr: 1.8888e-02 eta: 1:29:40 time: 0.5132 data_time: 0.0158 memory: 10484 grad_norm: 0.2697 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.9608 recall@top3: 0.8922 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0430 loss: 0.0430 2022/08/11 16:10:09 - mmengine - INFO - Epoch(train) [8][1260/3842] lr: 1.8822e-02 eta: 1:29:30 time: 0.4945 data_time: 0.0195 memory: 10484 grad_norm: 0.2585 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8235 recall@top3: 0.8431 prec@top3: 0.6863 recall@top5: 0.9608 prec@top5: 0.4824 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 16:10:19 - mmengine - INFO - Epoch(train) [8][1280/3842] lr: 1.8756e-02 eta: 1:29:19 time: 0.4947 data_time: 0.0170 memory: 10484 grad_norm: 0.2625 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.8111 recall@top3: 0.7500 prec@top3: 0.7111 recall@top5: 0.9222 prec@top5: 0.5067 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 16:10:29 - mmengine - INFO - Epoch(train) [8][1300/3842] lr: 1.8689e-02 eta: 1:29:08 time: 0.5179 data_time: 0.0164 memory: 10484 grad_norm: 0.2724 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.9111 recall@top3: 1.0000 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0486 loss: 0.0486 2022/08/11 16:10:39 - mmengine - INFO - Epoch(train) [8][1320/3842] lr: 1.8623e-02 eta: 1:28:58 time: 0.5193 data_time: 0.0185 memory: 10484 grad_norm: 0.2741 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7824 recall@top3: 0.8472 prec@top3: 0.7222 recall@top5: 0.9537 prec@top5: 0.5000 loss_action_cls: 0.0450 loss: 0.0450 2022/08/11 16:10:50 - mmengine - INFO - Epoch(train) [8][1340/3842] lr: 1.8557e-02 eta: 1:28:47 time: 0.5188 data_time: 0.0181 memory: 10484 grad_norm: 0.2622 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7817 recall@top3: 0.8413 prec@top3: 0.6984 recall@top5: 0.9762 prec@top5: 0.4952 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 16:11:00 - mmengine - INFO - Epoch(train) [8][1360/3842] lr: 1.8491e-02 eta: 1:28:37 time: 0.5196 data_time: 0.0203 memory: 10484 grad_norm: 0.2617 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.9461 recall@top3: 0.9167 prec@top3: 0.8824 recall@top5: 0.9853 prec@top5: 0.5765 loss_action_cls: 0.0475 loss: 0.0475 2022/08/11 16:11:11 - mmengine - INFO - Epoch(train) [8][1380/3842] lr: 1.8425e-02 eta: 1:28:26 time: 0.5205 data_time: 0.0204 memory: 10484 grad_norm: 0.2629 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.9667 recall@top3: 0.8722 prec@top3: 0.7556 recall@top5: 0.8944 prec@top5: 0.4667 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 16:11:21 - mmengine - INFO - Epoch(train) [8][1400/3842] lr: 1.8359e-02 eta: 1:28:16 time: 0.5313 data_time: 0.0204 memory: 10484 grad_norm: 0.2781 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8167 recall@top3: 0.8000 prec@top3: 0.6833 recall@top5: 0.9000 prec@top5: 0.4700 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 16:11:31 - mmengine - INFO - Epoch(train) [8][1420/3842] lr: 1.8293e-02 eta: 1:28:05 time: 0.5093 data_time: 0.0172 memory: 10484 grad_norm: 0.2756 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8788 recall@top3: 0.7455 prec@top3: 0.7576 recall@top5: 0.8212 prec@top5: 0.5091 loss_action_cls: 0.0491 loss: 0.0491 2022/08/11 16:11:42 - mmengine - INFO - Epoch(train) [8][1440/3842] lr: 1.8227e-02 eta: 1:27:55 time: 0.5145 data_time: 0.0171 memory: 10484 grad_norm: 0.2646 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7222 recall@top3: 0.7222 prec@top3: 0.4722 recall@top5: 0.8333 prec@top5: 0.3167 loss_action_cls: 0.0594 loss: 0.0594 2022/08/11 16:11:52 - mmengine - INFO - Epoch(train) [8][1460/3842] lr: 1.8161e-02 eta: 1:27:44 time: 0.5171 data_time: 0.0176 memory: 10484 grad_norm: 0.2692 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9048 recall@top3: 0.9048 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 16:12:02 - mmengine - INFO - Epoch(train) [8][1480/3842] lr: 1.8096e-02 eta: 1:27:34 time: 0.5173 data_time: 0.0214 memory: 10484 grad_norm: 0.2711 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.7564 recall@top3: 0.7821 prec@top3: 0.5128 recall@top5: 0.8974 prec@top5: 0.3692 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 16:12:13 - mmengine - INFO - Epoch(train) [8][1500/3842] lr: 1.8030e-02 eta: 1:27:24 time: 0.5321 data_time: 0.0176 memory: 10484 grad_norm: 0.2699 recall@thr=0.5: 0.7563 prec@thr=0.5: 0.9219 recall@top3: 0.8969 prec@top3: 0.9167 recall@top5: 0.9281 prec@top5: 0.5750 loss_action_cls: 0.0525 loss: 0.0525 2022/08/11 16:12:23 - mmengine - INFO - Epoch(train) [8][1520/3842] lr: 1.7965e-02 eta: 1:27:13 time: 0.4954 data_time: 0.0237 memory: 10484 grad_norm: 0.2718 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8437 recall@top3: 0.9271 prec@top3: 0.7708 recall@top5: 0.9792 prec@top5: 0.5000 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 16:12:34 - mmengine - INFO - Epoch(train) [8][1540/3842] lr: 1.7899e-02 eta: 1:27:03 time: 0.5342 data_time: 0.0135 memory: 10484 grad_norm: 0.2665 recall@thr=0.5: 0.7794 prec@thr=0.5: 0.6873 recall@top3: 0.7500 prec@top3: 0.5882 recall@top5: 0.8529 prec@top5: 0.4000 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 16:12:43 - mmengine - INFO - Epoch(train) [8][1560/3842] lr: 1.7834e-02 eta: 1:26:52 time: 0.4907 data_time: 0.0175 memory: 10484 grad_norm: 0.2692 recall@thr=0.5: 0.7950 prec@thr=0.5: 0.8250 recall@top3: 0.8683 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 16:12:54 - mmengine - INFO - Epoch(train) [8][1580/3842] lr: 1.7769e-02 eta: 1:26:41 time: 0.5365 data_time: 0.0170 memory: 10484 grad_norm: 0.2715 recall@thr=0.5: 0.8708 prec@thr=0.5: 0.9125 recall@top3: 0.8677 prec@top3: 0.6250 recall@top5: 0.9333 prec@top5: 0.4375 loss_action_cls: 0.0476 loss: 0.0476 2022/08/11 16:13:04 - mmengine - INFO - Epoch(train) [8][1600/3842] lr: 1.7703e-02 eta: 1:26:31 time: 0.4946 data_time: 0.0230 memory: 10484 grad_norm: 0.2723 recall@thr=0.5: 0.6775 prec@thr=0.5: 0.6130 recall@top3: 0.7246 prec@top3: 0.6812 recall@top5: 0.9094 prec@top5: 0.5217 loss_action_cls: 0.0562 loss: 0.0562 2022/08/11 16:13:15 - mmengine - INFO - Epoch(train) [8][1620/3842] lr: 1.7638e-02 eta: 1:26:20 time: 0.5242 data_time: 0.0163 memory: 10484 grad_norm: 0.2742 recall@thr=0.5: 0.7316 prec@thr=0.5: 0.8070 recall@top3: 0.8018 prec@top3: 0.7018 recall@top5: 0.9140 prec@top5: 0.4947 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 16:13:25 - mmengine - INFO - Epoch(train) [8][1640/3842] lr: 1.7573e-02 eta: 1:26:10 time: 0.4947 data_time: 0.0235 memory: 10484 grad_norm: 0.2690 recall@thr=0.5: 0.6682 prec@thr=0.5: 0.6856 recall@top3: 0.7667 prec@top3: 0.7727 recall@top5: 0.9288 prec@top5: 0.5636 loss_action_cls: 0.0553 loss: 0.0553 2022/08/11 16:13:35 - mmengine - INFO - Epoch(train) [8][1660/3842] lr: 1.7508e-02 eta: 1:25:59 time: 0.5294 data_time: 0.0166 memory: 10484 grad_norm: 0.2615 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9518 recall@top3: 0.9404 prec@top3: 0.8947 recall@top5: 1.0000 prec@top5: 0.5895 loss_action_cls: 0.0485 loss: 0.0485 2022/08/11 16:13:45 - mmengine - INFO - Epoch(train) [8][1680/3842] lr: 1.7444e-02 eta: 1:25:49 time: 0.4948 data_time: 0.0217 memory: 10484 grad_norm: 0.2640 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.8824 recall@top3: 0.9608 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0567 loss: 0.0567 2022/08/11 16:13:56 - mmengine - INFO - Epoch(train) [8][1700/3842] lr: 1.7379e-02 eta: 1:25:38 time: 0.5352 data_time: 0.0158 memory: 10484 grad_norm: 0.2638 recall@thr=0.5: 0.7427 prec@thr=0.5: 0.6771 recall@top3: 0.8302 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.5000 loss_action_cls: 0.0492 loss: 0.0492 2022/08/11 16:14:06 - mmengine - INFO - Epoch(train) [8][1720/3842] lr: 1.7314e-02 eta: 1:25:28 time: 0.4965 data_time: 0.0234 memory: 10484 grad_norm: 0.2591 recall@thr=0.5: 0.7426 prec@thr=0.5: 0.8333 recall@top3: 0.8537 prec@top3: 0.7963 recall@top5: 0.9889 prec@top5: 0.5667 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 16:14:16 - mmengine - INFO - Epoch(train) [8][1740/3842] lr: 1.7250e-02 eta: 1:25:17 time: 0.5192 data_time: 0.0147 memory: 10484 grad_norm: 0.2654 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9487 recall@top3: 1.0000 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 16:14:26 - mmengine - INFO - Epoch(train) [8][1760/3842] lr: 1.7185e-02 eta: 1:25:06 time: 0.4939 data_time: 0.0180 memory: 10484 grad_norm: 0.2666 recall@thr=0.5: 0.8550 prec@thr=0.5: 0.8917 recall@top3: 0.8600 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.6100 loss_action_cls: 0.0492 loss: 0.0492 2022/08/11 16:14:36 - mmengine - INFO - Epoch(train) [8][1780/3842] lr: 1.7121e-02 eta: 1:24:56 time: 0.4955 data_time: 0.0151 memory: 10484 grad_norm: 0.2666 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.6667 recall@top3: 0.8250 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4400 loss_action_cls: 0.0470 loss: 0.0470 2022/08/11 16:14:46 - mmengine - INFO - Epoch(train) [8][1800/3842] lr: 1.7057e-02 eta: 1:24:45 time: 0.4992 data_time: 0.0181 memory: 10484 grad_norm: 0.2640 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8810 recall@top3: 0.8631 prec@top3: 0.8095 recall@top5: 0.9821 prec@top5: 0.5714 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 16:14:56 - mmengine - INFO - Epoch(train) [8][1820/3842] lr: 1.6992e-02 eta: 1:24:35 time: 0.5153 data_time: 0.0156 memory: 10484 grad_norm: 0.2783 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7206 recall@top3: 0.6275 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.4941 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 16:15:06 - mmengine - INFO - Epoch(train) [8][1840/3842] lr: 1.6928e-02 eta: 1:24:24 time: 0.5101 data_time: 0.0180 memory: 10484 grad_norm: 0.2655 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.7708 recall@top5: 0.9844 prec@top5: 0.5750 loss_action_cls: 0.0504 loss: 0.0504 2022/08/11 16:15:16 - mmengine - INFO - Epoch(train) [8][1860/3842] lr: 1.6864e-02 eta: 1:24:14 time: 0.5067 data_time: 0.0199 memory: 10484 grad_norm: 0.2644 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.9028 recall@top3: 0.8194 prec@top3: 0.7037 recall@top5: 0.9167 prec@top5: 0.4889 loss_action_cls: 0.0545 loss: 0.0545 2022/08/11 16:15:27 - mmengine - INFO - Epoch(train) [8][1880/3842] lr: 1.6800e-02 eta: 1:24:03 time: 0.5155 data_time: 0.0199 memory: 10484 grad_norm: 0.2629 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.4992 recall@top3: 0.7500 prec@top3: 0.5333 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 16:15:37 - mmengine - INFO - Epoch(train) [8][1900/3842] lr: 1.6736e-02 eta: 1:23:53 time: 0.5172 data_time: 0.0180 memory: 10484 grad_norm: 0.2726 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9583 recall@top3: 0.8778 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0490 loss: 0.0490 2022/08/11 16:15:47 - mmengine - INFO - Epoch(train) [8][1920/3842] lr: 1.6672e-02 eta: 1:23:42 time: 0.4931 data_time: 0.0183 memory: 10484 grad_norm: 0.2595 recall@thr=0.5: 0.9511 prec@thr=0.5: 0.9067 recall@top3: 0.9378 prec@top3: 0.6222 recall@top5: 0.9511 prec@top5: 0.3867 loss_action_cls: 0.0440 loss: 0.0440 2022/08/11 16:15:58 - mmengine - INFO - Epoch(train) [8][1940/3842] lr: 1.6609e-02 eta: 1:23:32 time: 0.5435 data_time: 0.0141 memory: 10484 grad_norm: 0.2663 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7083 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.8125 prec@top5: 0.3750 loss_action_cls: 0.0519 loss: 0.0519 2022/08/11 16:16:08 - mmengine - INFO - Epoch(train) [8][1960/3842] lr: 1.6545e-02 eta: 1:23:21 time: 0.4986 data_time: 0.0223 memory: 10484 grad_norm: 0.2701 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7879 recall@top3: 0.6970 prec@top3: 0.4848 recall@top5: 0.7727 prec@top5: 0.3273 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 16:16:18 - mmengine - INFO - Epoch(train) [8][1980/3842] lr: 1.6482e-02 eta: 1:23:10 time: 0.5145 data_time: 0.0137 memory: 10484 grad_norm: 0.2705 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6795 recall@top3: 0.7115 prec@top3: 0.5897 recall@top5: 0.9615 prec@top5: 0.4462 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 16:16:28 - mmengine - INFO - Epoch(train) [8][2000/3842] lr: 1.6418e-02 eta: 1:23:00 time: 0.4891 data_time: 0.0170 memory: 10484 grad_norm: 0.2680 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7292 recall@top3: 0.9479 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0422 loss: 0.0422 2022/08/11 16:16:39 - mmengine - INFO - Epoch(train) [8][2020/3842] lr: 1.6355e-02 eta: 1:22:50 time: 0.5704 data_time: 0.0162 memory: 10484 grad_norm: 0.2719 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8208 recall@top3: 0.8667 prec@top3: 0.7000 recall@top5: 0.9333 prec@top5: 0.4700 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 16:16:49 - mmengine - INFO - Epoch(train) [8][2040/3842] lr: 1.6292e-02 eta: 1:22:39 time: 0.4933 data_time: 0.0182 memory: 10484 grad_norm: 0.2726 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8246 recall@top3: 0.8596 prec@top3: 0.8246 recall@top5: 0.9474 prec@top5: 0.5579 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 16:17:00 - mmengine - INFO - Epoch(train) [8][2060/3842] lr: 1.6228e-02 eta: 1:22:29 time: 0.5225 data_time: 0.0221 memory: 10484 grad_norm: 0.2686 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7963 recall@top3: 0.7611 prec@top3: 0.6667 recall@top5: 0.9676 prec@top5: 0.5333 loss_action_cls: 0.0489 loss: 0.0489 2022/08/11 16:17:09 - mmengine - INFO - Epoch(train) [8][2080/3842] lr: 1.6165e-02 eta: 1:22:18 time: 0.4923 data_time: 0.0189 memory: 10484 grad_norm: 0.2785 recall@thr=0.5: 0.9067 prec@thr=0.5: 0.7678 recall@top3: 0.9156 prec@top3: 0.6667 recall@top5: 0.9867 prec@top5: 0.4533 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 16:17:20 - mmengine - INFO - Epoch(train) [8][2100/3842] lr: 1.6102e-02 eta: 1:22:07 time: 0.5275 data_time: 0.0168 memory: 10484 grad_norm: 0.2785 recall@thr=0.5: 0.8913 prec@thr=0.5: 0.9746 recall@top3: 0.9638 prec@top3: 0.9420 recall@top5: 1.0000 prec@top5: 0.5913 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 16:17:23 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 16:17:30 - mmengine - INFO - Epoch(train) [8][2120/3842] lr: 1.6039e-02 eta: 1:21:57 time: 0.4948 data_time: 0.0222 memory: 10484 grad_norm: 0.2695 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.7778 recall@top3: 0.8148 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 16:17:40 - mmengine - INFO - Epoch(train) [8][2140/3842] lr: 1.5977e-02 eta: 1:21:46 time: 0.5132 data_time: 0.0149 memory: 10484 grad_norm: 0.2713 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7941 recall@top3: 0.8039 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4706 loss_action_cls: 0.0442 loss: 0.0442 2022/08/11 16:17:50 - mmengine - INFO - Epoch(train) [8][2160/3842] lr: 1.5914e-02 eta: 1:21:36 time: 0.4912 data_time: 0.0197 memory: 10484 grad_norm: 0.2750 recall@thr=0.5: 0.7452 prec@thr=0.5: 0.8254 recall@top3: 0.7214 prec@top3: 0.7619 recall@top5: 0.9667 prec@top5: 0.6476 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 16:18:00 - mmengine - INFO - Epoch(train) [8][2180/3842] lr: 1.5851e-02 eta: 1:21:25 time: 0.5042 data_time: 0.0157 memory: 10484 grad_norm: 0.2687 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.9236 recall@top3: 0.8333 prec@top3: 0.7500 recall@top5: 0.9306 prec@top5: 0.5167 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 16:18:10 - mmengine - INFO - Epoch(train) [8][2200/3842] lr: 1.5789e-02 eta: 1:21:14 time: 0.4894 data_time: 0.0173 memory: 10484 grad_norm: 0.2572 recall@thr=0.5: 0.7714 prec@thr=0.5: 0.7698 recall@top3: 0.7873 prec@top3: 0.6825 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 16:18:20 - mmengine - INFO - Epoch(train) [8][2220/3842] lr: 1.5726e-02 eta: 1:21:04 time: 0.5130 data_time: 0.0170 memory: 10484 grad_norm: 0.2742 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.8509 recall@top3: 0.8070 prec@top3: 0.8070 recall@top5: 0.9561 prec@top5: 0.5789 loss_action_cls: 0.0547 loss: 0.0547 2022/08/11 16:18:30 - mmengine - INFO - Epoch(train) [8][2240/3842] lr: 1.5664e-02 eta: 1:20:53 time: 0.4896 data_time: 0.0181 memory: 10484 grad_norm: 0.2613 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.8696 recall@top3: 0.8913 prec@top3: 0.7391 recall@top5: 0.9348 prec@top5: 0.4696 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 16:18:40 - mmengine - INFO - Epoch(train) [8][2260/3842] lr: 1.5602e-02 eta: 1:20:43 time: 0.5161 data_time: 0.0147 memory: 10484 grad_norm: 0.2633 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.7333 recall@top3: 0.9111 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0519 loss: 0.0519 2022/08/11 16:18:50 - mmengine - INFO - Epoch(train) [8][2280/3842] lr: 1.5539e-02 eta: 1:20:32 time: 0.4934 data_time: 0.0170 memory: 10484 grad_norm: 0.2774 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8922 recall@top3: 0.8039 prec@top3: 0.5686 recall@top5: 0.8725 prec@top5: 0.3882 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 16:19:01 - mmengine - INFO - Epoch(train) [8][2300/3842] lr: 1.5477e-02 eta: 1:20:22 time: 0.5321 data_time: 0.0147 memory: 10484 grad_norm: 0.2598 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.9537 recall@top3: 0.9444 prec@top3: 0.8148 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0502 loss: 0.0502 2022/08/11 16:19:11 - mmengine - INFO - Epoch(train) [8][2320/3842] lr: 1.5415e-02 eta: 1:20:11 time: 0.5010 data_time: 0.0177 memory: 10484 grad_norm: 0.2558 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.9208 recall@top3: 0.8683 prec@top3: 0.8500 recall@top5: 0.9458 prec@top5: 0.5800 loss_action_cls: 0.0543 loss: 0.0543 2022/08/11 16:19:22 - mmengine - INFO - Epoch(train) [8][2340/3842] lr: 1.5353e-02 eta: 1:20:01 time: 0.5336 data_time: 0.0173 memory: 10484 grad_norm: 0.2578 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7444 recall@top3: 0.7889 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0432 loss: 0.0432 2022/08/11 16:19:31 - mmengine - INFO - Epoch(train) [8][2360/3842] lr: 1.5292e-02 eta: 1:19:50 time: 0.5002 data_time: 0.0237 memory: 10484 grad_norm: 0.2674 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.7500 recall@top3: 0.6795 prec@top3: 0.5641 recall@top5: 0.9744 prec@top5: 0.5077 loss_action_cls: 0.0496 loss: 0.0496 2022/08/11 16:19:42 - mmengine - INFO - Epoch(train) [8][2380/3842] lr: 1.5230e-02 eta: 1:19:40 time: 0.5289 data_time: 0.0144 memory: 10484 grad_norm: 0.2650 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.9012 recall@top3: 0.8160 prec@top3: 0.7778 recall@top5: 0.9877 prec@top5: 0.5852 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 16:19:53 - mmengine - INFO - Epoch(train) [8][2400/3842] lr: 1.5168e-02 eta: 1:19:29 time: 0.5280 data_time: 0.0250 memory: 10484 grad_norm: 0.2760 recall@thr=0.5: 0.8441 prec@thr=0.5: 0.9069 recall@top3: 0.8833 prec@top3: 0.8824 recall@top5: 0.9735 prec@top5: 0.6000 loss_action_cls: 0.0453 loss: 0.0453 2022/08/11 16:20:03 - mmengine - INFO - Epoch(train) [8][2420/3842] lr: 1.5107e-02 eta: 1:19:19 time: 0.4952 data_time: 0.0191 memory: 10484 grad_norm: 0.2686 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8514 recall@top3: 0.9565 prec@top3: 0.7971 recall@top5: 1.0000 prec@top5: 0.5130 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 16:20:13 - mmengine - INFO - Epoch(train) [8][2440/3842] lr: 1.5045e-02 eta: 1:19:08 time: 0.5140 data_time: 0.0165 memory: 10484 grad_norm: 0.2688 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7778 recall@top3: 0.8611 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3667 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 16:20:23 - mmengine - INFO - Epoch(train) [8][2460/3842] lr: 1.4984e-02 eta: 1:18:57 time: 0.4893 data_time: 0.0172 memory: 10484 grad_norm: 0.2516 recall@thr=0.5: 0.8571 prec@thr=0.5: 1.0000 recall@top3: 0.9405 prec@top3: 0.7857 recall@top5: 0.9405 prec@top5: 0.4714 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 16:20:33 - mmengine - INFO - Epoch(train) [8][2480/3842] lr: 1.4923e-02 eta: 1:18:47 time: 0.5215 data_time: 0.0180 memory: 10484 grad_norm: 0.2689 recall@thr=0.5: 0.8873 prec@thr=0.5: 0.8431 recall@top3: 0.9167 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 16:20:43 - mmengine - INFO - Epoch(train) [8][2500/3842] lr: 1.4861e-02 eta: 1:18:36 time: 0.4895 data_time: 0.0180 memory: 10484 grad_norm: 0.2754 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.9389 recall@top3: 0.8500 prec@top3: 0.8889 recall@top5: 0.9500 prec@top5: 0.6133 loss_action_cls: 0.0446 loss: 0.0446 2022/08/11 16:20:53 - mmengine - INFO - Epoch(train) [8][2520/3842] lr: 1.4800e-02 eta: 1:18:26 time: 0.5147 data_time: 0.0158 memory: 10484 grad_norm: 0.2740 recall@thr=0.5: 0.5449 prec@thr=0.5: 0.5641 recall@top3: 0.6346 prec@top3: 0.5128 recall@top5: 0.8077 prec@top5: 0.3846 loss_action_cls: 0.0548 loss: 0.0548 2022/08/11 16:21:03 - mmengine - INFO - Epoch(train) [8][2540/3842] lr: 1.4739e-02 eta: 1:18:15 time: 0.4890 data_time: 0.0184 memory: 10484 grad_norm: 0.2722 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8889 recall@top3: 0.8935 prec@top3: 0.8889 recall@top5: 0.9861 prec@top5: 0.5889 loss_action_cls: 0.0485 loss: 0.0485 2022/08/11 16:21:13 - mmengine - INFO - Epoch(train) [8][2560/3842] lr: 1.4679e-02 eta: 1:18:05 time: 0.5159 data_time: 0.0147 memory: 10484 grad_norm: 0.2707 recall@thr=0.5: 0.8242 prec@thr=0.5: 0.8636 recall@top3: 0.8727 prec@top3: 0.6970 recall@top5: 0.9818 prec@top5: 0.4727 loss_action_cls: 0.0569 loss: 0.0569 2022/08/11 16:21:23 - mmengine - INFO - Epoch(train) [8][2580/3842] lr: 1.4618e-02 eta: 1:17:54 time: 0.4906 data_time: 0.0167 memory: 10484 grad_norm: 0.2786 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7843 recall@top3: 0.6863 prec@top3: 0.6667 recall@top5: 0.7549 prec@top5: 0.4471 loss_action_cls: 0.0441 loss: 0.0441 2022/08/11 16:21:33 - mmengine - INFO - Epoch(train) [8][2600/3842] lr: 1.4557e-02 eta: 1:17:44 time: 0.5139 data_time: 0.0188 memory: 10484 grad_norm: 0.2679 recall@thr=0.5: 0.9111 prec@thr=0.5: 0.8556 recall@top3: 0.9444 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0407 loss: 0.0407 2022/08/11 16:21:44 - mmengine - INFO - Epoch(train) [8][2620/3842] lr: 1.4496e-02 eta: 1:17:33 time: 0.5158 data_time: 0.0173 memory: 10484 grad_norm: 0.2759 recall@thr=0.5: 0.7355 prec@thr=0.5: 0.8478 recall@top3: 0.8514 prec@top3: 0.5652 recall@top5: 0.9457 prec@top5: 0.4000 loss_action_cls: 0.0502 loss: 0.0502 2022/08/11 16:21:54 - mmengine - INFO - Epoch(train) [8][2640/3842] lr: 1.4436e-02 eta: 1:17:23 time: 0.5144 data_time: 0.0187 memory: 10484 grad_norm: 0.2801 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9375 recall@top3: 0.9167 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 16:22:04 - mmengine - INFO - Epoch(train) [8][2660/3842] lr: 1.4376e-02 eta: 1:17:12 time: 0.4903 data_time: 0.0194 memory: 10484 grad_norm: 0.2785 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.6167 recall@top3: 0.7667 prec@top3: 0.5667 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0470 loss: 0.0470 2022/08/11 16:22:14 - mmengine - INFO - Epoch(train) [8][2680/3842] lr: 1.4315e-02 eta: 1:17:01 time: 0.5166 data_time: 0.0165 memory: 10484 grad_norm: 0.2626 recall@thr=0.5: 0.8090 prec@thr=0.5: 0.8542 recall@top3: 0.9146 prec@top3: 0.7639 recall@top5: 0.9861 prec@top5: 0.5167 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 16:22:24 - mmengine - INFO - Epoch(train) [8][2700/3842] lr: 1.4255e-02 eta: 1:16:51 time: 0.5123 data_time: 0.0169 memory: 10484 grad_norm: 0.2686 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.7273 recall@top3: 0.7424 prec@top3: 0.6061 recall@top5: 0.9015 prec@top5: 0.4727 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 16:22:34 - mmengine - INFO - Epoch(train) [8][2720/3842] lr: 1.4195e-02 eta: 1:16:40 time: 0.5004 data_time: 0.0181 memory: 10484 grad_norm: 0.2702 recall@thr=0.5: 0.6030 prec@thr=0.5: 0.6364 recall@top3: 0.6152 prec@top3: 0.5455 recall@top5: 0.8758 prec@top5: 0.4727 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 16:22:45 - mmengine - INFO - Epoch(train) [8][2740/3842] lr: 1.4135e-02 eta: 1:16:30 time: 0.5112 data_time: 0.0205 memory: 10484 grad_norm: 0.2678 recall@thr=0.5: 0.7688 prec@thr=0.5: 0.7667 recall@top3: 0.7563 prec@top3: 0.5417 recall@top5: 0.9062 prec@top5: 0.4250 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 16:22:55 - mmengine - INFO - Epoch(train) [8][2760/3842] lr: 1.4075e-02 eta: 1:16:19 time: 0.4974 data_time: 0.0181 memory: 10484 grad_norm: 0.2644 recall@thr=0.5: 0.9474 prec@thr=0.5: 0.9123 recall@top3: 0.9649 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.4632 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 16:23:05 - mmengine - INFO - Epoch(train) [8][2780/3842] lr: 1.4015e-02 eta: 1:16:09 time: 0.5105 data_time: 0.0135 memory: 10484 grad_norm: 0.2669 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7500 recall@top3: 0.7188 prec@top3: 0.6667 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0560 loss: 0.0560 2022/08/11 16:23:15 - mmengine - INFO - Epoch(train) [8][2800/3842] lr: 1.3956e-02 eta: 1:15:58 time: 0.4908 data_time: 0.0191 memory: 10484 grad_norm: 0.2663 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.7588 recall@top3: 0.8026 prec@top3: 0.6842 recall@top5: 0.9605 prec@top5: 0.4842 loss_action_cls: 0.0492 loss: 0.0492 2022/08/11 16:23:25 - mmengine - INFO - Epoch(train) [8][2820/3842] lr: 1.3896e-02 eta: 1:15:48 time: 0.5138 data_time: 0.0145 memory: 10484 grad_norm: 0.2742 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.7381 recall@top3: 0.5893 prec@top3: 0.5714 recall@top5: 0.6905 prec@top5: 0.4143 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 16:23:35 - mmengine - INFO - Epoch(train) [8][2840/3842] lr: 1.3836e-02 eta: 1:15:37 time: 0.4931 data_time: 0.0187 memory: 10484 grad_norm: 0.2738 recall@thr=0.5: 0.7306 prec@thr=0.5: 0.8889 recall@top3: 0.7833 prec@top3: 0.8519 recall@top5: 0.9056 prec@top5: 0.6111 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 16:23:45 - mmengine - INFO - Epoch(train) [8][2860/3842] lr: 1.3777e-02 eta: 1:15:26 time: 0.5131 data_time: 0.0157 memory: 10484 grad_norm: 0.2608 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8452 recall@top3: 0.8095 prec@top3: 0.7619 recall@top5: 0.9643 prec@top5: 0.5286 loss_action_cls: 0.0542 loss: 0.0542 2022/08/11 16:23:55 - mmengine - INFO - Epoch(train) [8][2880/3842] lr: 1.3718e-02 eta: 1:15:16 time: 0.5117 data_time: 0.0197 memory: 10484 grad_norm: 0.2670 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7833 recall@top3: 0.7083 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4700 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 16:24:05 - mmengine - INFO - Epoch(train) [8][2900/3842] lr: 1.3658e-02 eta: 1:15:05 time: 0.5155 data_time: 0.0176 memory: 10484 grad_norm: 0.2833 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7292 recall@top3: 0.7292 prec@top3: 0.5833 recall@top5: 0.9028 prec@top5: 0.4333 loss_action_cls: 0.0653 loss: 0.0653 2022/08/11 16:24:15 - mmengine - INFO - Epoch(train) [8][2920/3842] lr: 1.3599e-02 eta: 1:14:55 time: 0.4928 data_time: 0.0223 memory: 10484 grad_norm: 0.2744 recall@thr=0.5: 0.7578 prec@thr=0.5: 0.9000 recall@top3: 0.8578 prec@top3: 0.8222 recall@top5: 0.9511 prec@top5: 0.5867 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 16:24:26 - mmengine - INFO - Epoch(train) [8][2940/3842] lr: 1.3540e-02 eta: 1:14:44 time: 0.5134 data_time: 0.0160 memory: 10484 grad_norm: 0.2817 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.7602 recall@top3: 0.7056 prec@top3: 0.7037 recall@top5: 0.9639 prec@top5: 0.6222 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 16:24:35 - mmengine - INFO - Epoch(train) [8][2960/3842] lr: 1.3481e-02 eta: 1:14:34 time: 0.4899 data_time: 0.0185 memory: 10484 grad_norm: 0.2767 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8611 recall@top3: 0.8722 prec@top3: 0.8519 recall@top5: 0.9222 prec@top5: 0.5556 loss_action_cls: 0.0523 loss: 0.0523 2022/08/11 16:24:46 - mmengine - INFO - Epoch(train) [8][2980/3842] lr: 1.3423e-02 eta: 1:14:23 time: 0.5126 data_time: 0.0162 memory: 10484 grad_norm: 0.2539 recall@thr=0.5: 0.8208 prec@thr=0.5: 0.8925 recall@top3: 0.8292 prec@top3: 0.8167 recall@top5: 0.9542 prec@top5: 0.5800 loss_action_cls: 0.0437 loss: 0.0437 2022/08/11 16:24:55 - mmengine - INFO - Epoch(train) [8][3000/3842] lr: 1.3364e-02 eta: 1:14:13 time: 0.4907 data_time: 0.0187 memory: 10484 grad_norm: 0.2725 recall@thr=0.5: 0.6790 prec@thr=0.5: 0.8086 recall@top3: 0.7469 prec@top3: 0.6543 recall@top5: 0.9259 prec@top5: 0.4815 loss_action_cls: 0.0532 loss: 0.0532 2022/08/11 16:25:06 - mmengine - INFO - Epoch(train) [8][3020/3842] lr: 1.3305e-02 eta: 1:14:02 time: 0.5289 data_time: 0.0179 memory: 10484 grad_norm: 0.2819 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6961 recall@top3: 0.8137 prec@top3: 0.7255 recall@top5: 0.8824 prec@top5: 0.4824 loss_action_cls: 0.0523 loss: 0.0523 2022/08/11 16:25:16 - mmengine - INFO - Epoch(train) [8][3040/3842] lr: 1.3247e-02 eta: 1:13:52 time: 0.5096 data_time: 0.0170 memory: 10484 grad_norm: 0.2807 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7549 recall@top3: 0.7029 prec@top3: 0.6863 recall@top5: 0.9020 prec@top5: 0.5529 loss_action_cls: 0.0469 loss: 0.0469 2022/08/11 16:25:27 - mmengine - INFO - Epoch(train) [8][3060/3842] lr: 1.3188e-02 eta: 1:13:41 time: 0.5199 data_time: 0.0164 memory: 10484 grad_norm: 0.2595 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8095 recall@top3: 0.7619 prec@top3: 0.7143 recall@top5: 0.8750 prec@top5: 0.5000 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 16:25:37 - mmengine - INFO - Epoch(train) [8][3080/3842] lr: 1.3130e-02 eta: 1:13:31 time: 0.4931 data_time: 0.0189 memory: 10484 grad_norm: 0.2774 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7235 recall@top3: 0.6863 prec@top3: 0.6078 recall@top5: 0.9216 prec@top5: 0.4706 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 16:25:48 - mmengine - INFO - Epoch(train) [8][3100/3842] lr: 1.3072e-02 eta: 1:13:20 time: 0.5549 data_time: 0.0239 memory: 10484 grad_norm: 0.2652 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7708 recall@top3: 0.9167 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 16:25:51 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 16:25:58 - mmengine - INFO - Epoch(train) [8][3120/3842] lr: 1.3014e-02 eta: 1:13:10 time: 0.5144 data_time: 0.0192 memory: 10484 grad_norm: 0.2612 recall@thr=0.5: 0.8107 prec@thr=0.5: 0.8307 recall@top3: 0.8107 prec@top3: 0.7200 recall@top5: 0.9320 prec@top5: 0.5120 loss_action_cls: 0.0504 loss: 0.0504 2022/08/11 16:26:08 - mmengine - INFO - Epoch(train) [8][3140/3842] lr: 1.2956e-02 eta: 1:12:59 time: 0.4958 data_time: 0.0213 memory: 10484 grad_norm: 0.2690 recall@thr=0.5: 0.7442 prec@thr=0.5: 0.9000 recall@top3: 0.8383 prec@top3: 0.7667 recall@top5: 0.9833 prec@top5: 0.5600 loss_action_cls: 0.0496 loss: 0.0496 2022/08/11 16:26:18 - mmengine - INFO - Epoch(train) [8][3160/3842] lr: 1.2898e-02 eta: 1:12:49 time: 0.5138 data_time: 0.0168 memory: 10484 grad_norm: 0.2699 recall@thr=0.5: 0.9630 prec@thr=0.5: 0.9815 recall@top3: 0.9630 prec@top3: 0.8889 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 16:26:28 - mmengine - INFO - Epoch(train) [8][3180/3842] lr: 1.2840e-02 eta: 1:12:38 time: 0.4888 data_time: 0.0179 memory: 10484 grad_norm: 0.2627 recall@thr=0.5: 0.9211 prec@thr=0.5: 0.8860 recall@top3: 0.8596 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 16:26:38 - mmengine - INFO - Epoch(train) [8][3200/3842] lr: 1.2782e-02 eta: 1:12:28 time: 0.5169 data_time: 0.0163 memory: 10484 grad_norm: 0.2730 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8750 recall@top3: 0.8750 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 16:26:48 - mmengine - INFO - Epoch(train) [8][3220/3842] lr: 1.2725e-02 eta: 1:12:17 time: 0.4901 data_time: 0.0177 memory: 10484 grad_norm: 0.2790 recall@thr=0.5: 0.8578 prec@thr=0.5: 0.9461 recall@top3: 0.9265 prec@top3: 0.8627 recall@top5: 0.9608 prec@top5: 0.5412 loss_action_cls: 0.0417 loss: 0.0417 2022/08/11 16:26:58 - mmengine - INFO - Epoch(train) [8][3240/3842] lr: 1.2667e-02 eta: 1:12:07 time: 0.5157 data_time: 0.0181 memory: 10484 grad_norm: 0.2856 recall@thr=0.5: 0.5764 prec@thr=0.5: 0.6111 recall@top3: 0.6250 prec@top3: 0.5278 recall@top5: 0.8194 prec@top5: 0.4167 loss_action_cls: 0.0537 loss: 0.0537 2022/08/11 16:27:08 - mmengine - INFO - Epoch(train) [8][3260/3842] lr: 1.2610e-02 eta: 1:11:56 time: 0.4935 data_time: 0.0213 memory: 10484 grad_norm: 0.2731 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.8646 recall@top3: 0.8385 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 16:27:19 - mmengine - INFO - Epoch(train) [8][3280/3842] lr: 1.2552e-02 eta: 1:11:46 time: 0.5397 data_time: 0.0181 memory: 10484 grad_norm: 0.2591 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8698 recall@top3: 0.8646 prec@top3: 0.7083 recall@top5: 0.9583 prec@top5: 0.4875 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 16:27:29 - mmengine - INFO - Epoch(train) [8][3300/3842] lr: 1.2495e-02 eta: 1:11:35 time: 0.4975 data_time: 0.0230 memory: 10484 grad_norm: 0.2771 recall@thr=0.5: 0.8906 prec@thr=0.5: 0.9375 recall@top3: 0.9219 prec@top3: 0.8542 recall@top5: 0.9844 prec@top5: 0.5625 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 16:27:40 - mmengine - INFO - Epoch(train) [8][3320/3842] lr: 1.2438e-02 eta: 1:11:25 time: 0.5731 data_time: 0.0182 memory: 10484 grad_norm: 0.2771 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7917 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4167 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 16:27:51 - mmengine - INFO - Epoch(train) [8][3340/3842] lr: 1.2381e-02 eta: 1:11:14 time: 0.5182 data_time: 0.0182 memory: 10484 grad_norm: 0.2706 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7452 recall@top3: 0.9167 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 16:28:01 - mmengine - INFO - Epoch(train) [8][3360/3842] lr: 1.2324e-02 eta: 1:11:04 time: 0.5089 data_time: 0.0212 memory: 10484 grad_norm: 0.2710 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8426 recall@top3: 0.8519 prec@top3: 0.6481 recall@top5: 0.9583 prec@top5: 0.4556 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 16:28:11 - mmengine - INFO - Epoch(train) [8][3380/3842] lr: 1.2268e-02 eta: 1:10:53 time: 0.5149 data_time: 0.0184 memory: 10484 grad_norm: 0.2792 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.8237 recall@top3: 0.8526 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4462 loss_action_cls: 0.0472 loss: 0.0472 2022/08/11 16:28:22 - mmengine - INFO - Epoch(train) [8][3400/3842] lr: 1.2211e-02 eta: 1:10:43 time: 0.5188 data_time: 0.0176 memory: 10484 grad_norm: 0.2702 recall@thr=0.5: 0.6719 prec@thr=0.5: 0.6302 recall@top3: 0.8333 prec@top3: 0.6875 recall@top5: 0.9635 prec@top5: 0.5000 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 16:28:32 - mmengine - INFO - Epoch(train) [8][3420/3842] lr: 1.2154e-02 eta: 1:10:32 time: 0.5163 data_time: 0.0168 memory: 10484 grad_norm: 0.2699 recall@thr=0.5: 0.7947 prec@thr=0.5: 0.8825 recall@top3: 0.7482 prec@top3: 0.7544 recall@top5: 0.9825 prec@top5: 0.6316 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 16:28:42 - mmengine - INFO - Epoch(train) [8][3440/3842] lr: 1.2098e-02 eta: 1:10:22 time: 0.5166 data_time: 0.0198 memory: 10484 grad_norm: 0.2789 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7479 recall@top3: 0.7396 prec@top3: 0.6458 recall@top5: 0.8854 prec@top5: 0.4750 loss_action_cls: 0.0452 loss: 0.0452 2022/08/11 16:28:53 - mmengine - INFO - Epoch(train) [8][3460/3842] lr: 1.2042e-02 eta: 1:10:12 time: 0.5148 data_time: 0.0184 memory: 10484 grad_norm: 0.2659 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7681 recall@top3: 0.8478 prec@top3: 0.7536 recall@top5: 0.8913 prec@top5: 0.4696 loss_action_cls: 0.0538 loss: 0.0538 2022/08/11 16:29:03 - mmengine - INFO - Epoch(train) [8][3480/3842] lr: 1.1985e-02 eta: 1:10:01 time: 0.5129 data_time: 0.0193 memory: 10484 grad_norm: 0.2685 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7917 recall@top3: 0.8854 prec@top3: 0.7500 recall@top5: 0.9792 prec@top5: 0.5000 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 16:29:13 - mmengine - INFO - Epoch(train) [8][3500/3842] lr: 1.1929e-02 eta: 1:09:51 time: 0.5182 data_time: 0.0175 memory: 10484 grad_norm: 0.2567 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.9020 recall@top3: 0.8725 prec@top3: 0.7059 recall@top5: 0.9216 prec@top5: 0.4588 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 16:29:23 - mmengine - INFO - Epoch(train) [8][3520/3842] lr: 1.1873e-02 eta: 1:09:40 time: 0.4896 data_time: 0.0182 memory: 10484 grad_norm: 0.2757 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7647 recall@top3: 0.7461 prec@top3: 0.6078 recall@top5: 0.9490 prec@top5: 0.4706 loss_action_cls: 0.0489 loss: 0.0489 2022/08/11 16:29:33 - mmengine - INFO - Epoch(train) [8][3540/3842] lr: 1.1817e-02 eta: 1:09:29 time: 0.5192 data_time: 0.0199 memory: 10484 grad_norm: 0.2661 recall@thr=0.5: 0.8833 prec@thr=0.5: 1.0000 recall@top3: 0.8500 prec@top3: 0.8222 recall@top5: 0.9333 prec@top5: 0.5600 loss_action_cls: 0.0420 loss: 0.0420 2022/08/11 16:29:44 - mmengine - INFO - Epoch(train) [8][3560/3842] lr: 1.1761e-02 eta: 1:09:19 time: 0.5218 data_time: 0.0214 memory: 10484 grad_norm: 0.2635 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8865 recall@top3: 0.8968 prec@top3: 0.8889 recall@top5: 1.0000 prec@top5: 0.6095 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 16:29:55 - mmengine - INFO - Epoch(train) [8][3580/3842] lr: 1.1706e-02 eta: 1:09:09 time: 0.5373 data_time: 0.0182 memory: 10484 grad_norm: 0.2680 recall@thr=0.5: 0.7104 prec@thr=0.5: 0.7847 recall@top3: 0.8104 prec@top3: 0.6667 recall@top5: 0.9097 prec@top5: 0.4750 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 16:30:05 - mmengine - INFO - Epoch(train) [8][3600/3842] lr: 1.1650e-02 eta: 1:08:58 time: 0.5180 data_time: 0.0177 memory: 10484 grad_norm: 0.2787 recall@thr=0.5: 0.6756 prec@thr=0.5: 0.6786 recall@top3: 0.8452 prec@top3: 0.7262 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0493 loss: 0.0493 2022/08/11 16:30:16 - mmengine - INFO - Epoch(train) [8][3620/3842] lr: 1.1595e-02 eta: 1:08:48 time: 0.5392 data_time: 0.0172 memory: 10484 grad_norm: 0.2790 recall@thr=0.5: 0.6260 prec@thr=0.5: 0.8854 recall@top3: 0.7667 prec@top3: 0.7292 recall@top5: 0.9792 prec@top5: 0.5875 loss_action_cls: 0.0553 loss: 0.0553 2022/08/11 16:30:26 - mmengine - INFO - Epoch(train) [8][3640/3842] lr: 1.1539e-02 eta: 1:08:37 time: 0.4896 data_time: 0.0166 memory: 10484 grad_norm: 0.2707 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7222 recall@top3: 0.9333 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 16:30:36 - mmengine - INFO - Epoch(train) [8][3660/3842] lr: 1.1484e-02 eta: 1:08:27 time: 0.5394 data_time: 0.0212 memory: 10484 grad_norm: 0.2711 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.7944 recall@top3: 0.8111 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.4933 loss_action_cls: 0.0483 loss: 0.0483 2022/08/11 16:30:46 - mmengine - INFO - Epoch(train) [8][3680/3842] lr: 1.1429e-02 eta: 1:08:16 time: 0.4943 data_time: 0.0247 memory: 10484 grad_norm: 0.2756 recall@thr=0.5: 0.9211 prec@thr=0.5: 0.8772 recall@top3: 0.9211 prec@top3: 0.8246 recall@top5: 0.9474 prec@top5: 0.5158 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 16:30:57 - mmengine - INFO - Epoch(train) [8][3700/3842] lr: 1.1374e-02 eta: 1:08:06 time: 0.5134 data_time: 0.0158 memory: 10484 grad_norm: 0.2710 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8750 recall@top3: 0.9000 prec@top3: 0.7333 recall@top5: 0.9417 prec@top5: 0.4600 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 16:31:06 - mmengine - INFO - Epoch(train) [8][3720/3842] lr: 1.1319e-02 eta: 1:07:55 time: 0.4905 data_time: 0.0190 memory: 10484 grad_norm: 0.2679 recall@thr=0.5: 0.9079 prec@thr=0.5: 0.8684 recall@top3: 0.9430 prec@top3: 0.8596 recall@top5: 1.0000 prec@top5: 0.5579 loss_action_cls: 0.0461 loss: 0.0461 2022/08/11 16:31:17 - mmengine - INFO - Epoch(train) [8][3740/3842] lr: 1.1264e-02 eta: 1:07:45 time: 0.5133 data_time: 0.0143 memory: 10484 grad_norm: 0.2689 recall@thr=0.5: 0.7844 prec@thr=0.5: 0.8333 recall@top3: 0.7833 prec@top3: 0.7292 recall@top5: 0.9542 prec@top5: 0.5750 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 16:31:27 - mmengine - INFO - Epoch(train) [8][3760/3842] lr: 1.1209e-02 eta: 1:07:34 time: 0.5179 data_time: 0.0194 memory: 10484 grad_norm: 0.2693 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.9697 recall@top3: 0.9697 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 16:31:37 - mmengine - INFO - Epoch(train) [8][3780/3842] lr: 1.1155e-02 eta: 1:07:24 time: 0.5179 data_time: 0.0166 memory: 10484 grad_norm: 0.2721 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.9048 recall@top3: 0.8452 prec@top3: 0.6429 recall@top5: 0.8810 prec@top5: 0.4000 loss_action_cls: 0.0461 loss: 0.0461 2022/08/11 16:31:47 - mmengine - INFO - Epoch(train) [8][3800/3842] lr: 1.1100e-02 eta: 1:07:13 time: 0.4922 data_time: 0.0170 memory: 10484 grad_norm: 0.2682 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8235 recall@top3: 0.8725 prec@top3: 0.6863 recall@top5: 0.9118 prec@top5: 0.4353 loss_action_cls: 0.0561 loss: 0.0561 2022/08/11 16:31:59 - mmengine - INFO - Epoch(train) [8][3820/3842] lr: 1.1046e-02 eta: 1:07:03 time: 0.5666 data_time: 0.0186 memory: 10484 grad_norm: 0.2813 recall@thr=0.5: 0.8264 prec@thr=0.5: 0.9375 recall@top3: 0.8819 prec@top3: 0.8056 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0446 loss: 0.0446 2022/08/11 16:32:09 - mmengine - INFO - Epoch(train) [8][3840/3842] lr: 1.0992e-02 eta: 1:06:52 time: 0.5056 data_time: 0.0146 memory: 10484 grad_norm: 0.2772 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7679 recall@top3: 0.7976 prec@top3: 0.7143 recall@top5: 0.9226 prec@top5: 0.5286 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 16:32:10 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 16:32:10 - mmengine - INFO - Epoch(train) [8][3842/3842] lr: 1.0986e-02 eta: 1:06:52 time: 0.5011 data_time: 0.0223 memory: 10484 grad_norm: 0.2960 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.9000 recall@top3: 0.9000 prec@top3: 0.8000 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 16:32:10 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/11 16:32:17 - mmengine - INFO - Epoch(val) [8][20/6282] eta: 0:07:17 time: 0.0699 data_time: 0.0202 memory: 703 2022/08/11 16:32:18 - mmengine - INFO - Epoch(val) [8][40/6282] eta: 0:05:08 time: 0.0495 data_time: 0.0043 memory: 703 2022/08/11 16:32:19 - mmengine - INFO - Epoch(val) [8][60/6282] eta: 0:05:19 time: 0.0513 data_time: 0.0044 memory: 703 2022/08/11 16:32:20 - mmengine - INFO - Epoch(val) [8][80/6282] eta: 0:05:17 time: 0.0512 data_time: 0.0038 memory: 703 2022/08/11 16:32:22 - mmengine - INFO - Epoch(val) [8][100/6282] eta: 0:13:30 time: 0.1312 data_time: 0.0885 memory: 703 2022/08/11 16:32:24 - mmengine - INFO - Epoch(val) [8][120/6282] eta: 0:07:46 time: 0.0757 data_time: 0.0200 memory: 809 2022/08/11 16:32:26 - mmengine - INFO - Epoch(val) [8][140/6282] eta: 0:11:41 time: 0.1142 data_time: 0.0567 memory: 809 2022/08/11 16:32:28 - mmengine - INFO - Epoch(val) [8][160/6282] eta: 0:08:21 time: 0.0818 data_time: 0.0215 memory: 809 2022/08/11 16:32:29 - mmengine - INFO - Epoch(val) [8][180/6282] eta: 0:07:43 time: 0.0760 data_time: 0.0096 memory: 809 2022/08/11 16:32:31 - mmengine - INFO - Epoch(val) [8][200/6282] eta: 0:06:43 time: 0.0664 data_time: 0.0047 memory: 809 2022/08/11 16:32:32 - mmengine - INFO - Epoch(val) [8][220/6282] eta: 0:05:42 time: 0.0565 data_time: 0.0049 memory: 738 2022/08/11 16:32:34 - mmengine - INFO - Epoch(val) [8][240/6282] eta: 0:08:27 time: 0.0839 data_time: 0.0052 memory: 738 2022/08/11 16:32:35 - mmengine - INFO - Epoch(val) [8][260/6282] eta: 0:06:07 time: 0.0611 data_time: 0.0050 memory: 738 2022/08/11 16:32:36 - mmengine - INFO - Epoch(val) [8][280/6282] eta: 0:06:07 time: 0.0612 data_time: 0.0055 memory: 738 2022/08/11 16:32:37 - mmengine - INFO - Epoch(val) [8][300/6282] eta: 0:06:43 time: 0.0674 data_time: 0.0053 memory: 809 2022/08/11 16:32:39 - mmengine - INFO - Epoch(val) [8][320/6282] eta: 0:09:24 time: 0.0946 data_time: 0.0314 memory: 809 2022/08/11 16:32:41 - mmengine - INFO - Epoch(val) [8][340/6282] eta: 0:08:41 time: 0.0877 data_time: 0.0213 memory: 809 2022/08/11 16:32:43 - mmengine - INFO - Epoch(val) [8][360/6282] eta: 0:07:23 time: 0.0749 data_time: 0.0082 memory: 809 2022/08/11 16:32:44 - mmengine - INFO - Epoch(val) [8][380/6282] eta: 0:07:46 time: 0.0791 data_time: 0.0171 memory: 809 2022/08/11 16:32:46 - mmengine - INFO - Epoch(val) [8][400/6282] eta: 0:06:35 time: 0.0673 data_time: 0.0102 memory: 809 2022/08/11 16:32:47 - mmengine - INFO - Epoch(val) [8][420/6282] eta: 0:05:30 time: 0.0564 data_time: 0.0056 memory: 743 2022/08/11 16:32:48 - mmengine - INFO - Epoch(val) [8][440/6282] eta: 0:05:31 time: 0.0568 data_time: 0.0048 memory: 743 2022/08/11 16:32:49 - mmengine - INFO - Epoch(val) [8][460/6282] eta: 0:05:32 time: 0.0571 data_time: 0.0046 memory: 743 2022/08/11 16:32:50 - mmengine - INFO - Epoch(val) [8][480/6282] eta: 0:05:03 time: 0.0523 data_time: 0.0042 memory: 743 2022/08/11 16:32:51 - mmengine - INFO - Epoch(val) [8][500/6282] eta: 0:04:52 time: 0.0505 data_time: 0.0041 memory: 743 2022/08/11 16:32:52 - mmengine - INFO - Epoch(val) [8][520/6282] eta: 0:04:45 time: 0.0496 data_time: 0.0041 memory: 738 2022/08/11 16:32:54 - mmengine - INFO - Epoch(val) [8][540/6282] eta: 0:07:40 time: 0.0802 data_time: 0.0050 memory: 738 2022/08/11 16:32:55 - mmengine - INFO - Epoch(val) [8][560/6282] eta: 0:05:05 time: 0.0534 data_time: 0.0054 memory: 738 2022/08/11 16:32:56 - mmengine - INFO - Epoch(val) [8][580/6282] eta: 0:05:18 time: 0.0558 data_time: 0.0042 memory: 738 2022/08/11 16:32:57 - mmengine - INFO - Epoch(val) [8][600/6282] eta: 0:05:20 time: 0.0565 data_time: 0.0053 memory: 738 2022/08/11 16:32:58 - mmengine - INFO - Epoch(val) [8][620/6282] eta: 0:04:44 time: 0.0502 data_time: 0.0044 memory: 738 2022/08/11 16:32:59 - mmengine - INFO - Epoch(val) [8][640/6282] eta: 0:04:30 time: 0.0480 data_time: 0.0036 memory: 733 2022/08/11 16:33:00 - mmengine - INFO - Epoch(val) [8][660/6282] eta: 0:04:47 time: 0.0511 data_time: 0.0038 memory: 733 2022/08/11 16:33:01 - mmengine - INFO - Epoch(val) [8][680/6282] eta: 0:04:50 time: 0.0518 data_time: 0.0051 memory: 733 2022/08/11 16:33:02 - mmengine - INFO - Epoch(val) [8][700/6282] eta: 0:04:50 time: 0.0520 data_time: 0.0047 memory: 733 2022/08/11 16:33:05 - mmengine - INFO - Epoch(val) [8][720/6282] eta: 0:12:46 time: 0.1379 data_time: 0.0797 memory: 809 2022/08/11 16:33:09 - mmengine - INFO - Epoch(val) [8][740/6282] eta: 0:18:38 time: 0.2018 data_time: 0.1428 memory: 809 2022/08/11 16:33:12 - mmengine - INFO - Epoch(val) [8][760/6282] eta: 0:14:00 time: 0.1522 data_time: 0.0936 memory: 809 2022/08/11 16:33:15 - mmengine - INFO - Epoch(val) [8][780/6282] eta: 0:16:12 time: 0.1768 data_time: 0.1056 memory: 809 2022/08/11 16:33:18 - mmengine - INFO - Epoch(val) [8][800/6282] eta: 0:11:47 time: 0.1290 data_time: 0.0658 memory: 809 2022/08/11 16:33:20 - mmengine - INFO - Epoch(val) [8][820/6282] eta: 0:07:53 time: 0.0867 data_time: 0.0347 memory: 809 2022/08/11 16:33:21 - mmengine - INFO - Epoch(val) [8][840/6282] eta: 0:04:46 time: 0.0527 data_time: 0.0045 memory: 738 2022/08/11 16:33:22 - mmengine - INFO - Epoch(val) [8][860/6282] eta: 0:04:58 time: 0.0550 data_time: 0.0047 memory: 738 2022/08/11 16:33:23 - mmengine - INFO - Epoch(val) [8][880/6282] eta: 0:04:58 time: 0.0552 data_time: 0.0042 memory: 738 2022/08/11 16:33:24 - mmengine - INFO - Epoch(val) [8][900/6282] eta: 0:04:58 time: 0.0554 data_time: 0.0048 memory: 738 2022/08/11 16:33:25 - mmengine - INFO - Epoch(val) [8][920/6282] eta: 0:05:10 time: 0.0579 data_time: 0.0043 memory: 738 2022/08/11 16:33:26 - mmengine - INFO - Epoch(val) [8][940/6282] eta: 0:04:49 time: 0.0542 data_time: 0.0053 memory: 703 2022/08/11 16:33:28 - mmengine - INFO - Epoch(val) [8][960/6282] eta: 0:04:51 time: 0.0547 data_time: 0.0060 memory: 703 2022/08/11 16:33:29 - mmengine - INFO - Epoch(val) [8][980/6282] eta: 0:04:37 time: 0.0523 data_time: 0.0054 memory: 703 2022/08/11 16:33:30 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:04:54 time: 0.0558 data_time: 0.0043 memory: 703 2022/08/11 16:33:31 - mmengine - INFO - Epoch(val) [8][1020/6282] eta: 0:04:54 time: 0.0560 data_time: 0.0048 memory: 738 2022/08/11 16:33:32 - mmengine - INFO - Epoch(val) [8][1040/6282] eta: 0:04:59 time: 0.0572 data_time: 0.0058 memory: 738 2022/08/11 16:33:34 - mmengine - INFO - Epoch(val) [8][1060/6282] eta: 0:06:59 time: 0.0803 data_time: 0.0055 memory: 738 2022/08/11 16:33:35 - mmengine - INFO - Epoch(val) [8][1080/6282] eta: 0:04:41 time: 0.0542 data_time: 0.0076 memory: 738 2022/08/11 16:33:37 - mmengine - INFO - Epoch(val) [8][1100/6282] eta: 0:11:06 time: 0.1287 data_time: 0.0824 memory: 738 2022/08/11 16:33:39 - mmengine - INFO - Epoch(val) [8][1120/6282] eta: 0:05:33 time: 0.0645 data_time: 0.0189 memory: 738 2022/08/11 16:33:40 - mmengine - INFO - Epoch(val) [8][1140/6282] eta: 0:06:28 time: 0.0756 data_time: 0.0306 memory: 738 2022/08/11 16:33:41 - mmengine - INFO - Epoch(val) [8][1160/6282] eta: 0:04:12 time: 0.0492 data_time: 0.0043 memory: 738 2022/08/11 16:33:42 - mmengine - INFO - Epoch(val) [8][1180/6282] eta: 0:04:18 time: 0.0507 data_time: 0.0045 memory: 738 2022/08/11 16:33:47 - mmengine - INFO - Epoch(val) [8][1200/6282] eta: 0:22:20 time: 0.2638 data_time: 0.0063 memory: 738 2022/08/11 16:33:49 - mmengine - INFO - Epoch(val) [8][1220/6282] eta: 0:04:54 time: 0.0581 data_time: 0.0050 memory: 738 2022/08/11 16:33:52 - mmengine - INFO - Epoch(val) [8][1240/6282] eta: 0:14:20 time: 0.1708 data_time: 0.1129 memory: 809 2022/08/11 16:33:55 - mmengine - INFO - Epoch(val) [8][1260/6282] eta: 0:13:16 time: 0.1586 data_time: 0.0949 memory: 809 2022/08/11 16:33:59 - mmengine - INFO - Epoch(val) [8][1280/6282] eta: 0:14:48 time: 0.1776 data_time: 0.1179 memory: 809 2022/08/11 16:34:02 - mmengine - INFO - Epoch(val) [8][1300/6282] eta: 0:12:48 time: 0.1543 data_time: 0.0953 memory: 809 2022/08/11 16:34:06 - mmengine - INFO - Epoch(val) [8][1320/6282] eta: 0:15:32 time: 0.1880 data_time: 0.1273 memory: 809 2022/08/11 16:34:09 - mmengine - INFO - Epoch(val) [8][1340/6282] eta: 0:12:52 time: 0.1562 data_time: 0.0987 memory: 809 2022/08/11 16:34:12 - mmengine - INFO - Epoch(val) [8][1360/6282] eta: 0:13:34 time: 0.1654 data_time: 0.1058 memory: 809 2022/08/11 16:34:15 - mmengine - INFO - Epoch(val) [8][1380/6282] eta: 0:11:21 time: 0.1391 data_time: 0.0834 memory: 809 2022/08/11 16:34:18 - mmengine - INFO - Epoch(val) [8][1400/6282] eta: 0:12:51 time: 0.1580 data_time: 0.0981 memory: 809 2022/08/11 16:34:21 - mmengine - INFO - Epoch(val) [8][1420/6282] eta: 0:11:21 time: 0.1402 data_time: 0.0791 memory: 809 2022/08/11 16:34:23 - mmengine - INFO - Epoch(val) [8][1440/6282] eta: 0:07:59 time: 0.0990 data_time: 0.0378 memory: 809 2022/08/11 16:34:24 - mmengine - INFO - Epoch(val) [8][1460/6282] eta: 0:05:08 time: 0.0639 data_time: 0.0045 memory: 809 2022/08/11 16:34:25 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:05:26 time: 0.0679 data_time: 0.0051 memory: 809 2022/08/11 16:34:27 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:05:22 time: 0.0675 data_time: 0.0048 memory: 809 2022/08/11 16:34:28 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:05:08 time: 0.0648 data_time: 0.0053 memory: 911 2022/08/11 16:34:30 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:06:04 time: 0.0768 data_time: 0.0067 memory: 911 2022/08/11 16:34:31 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:06:02 time: 0.0769 data_time: 0.0052 memory: 911 2022/08/11 16:34:33 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:08:23 time: 0.1070 data_time: 0.0068 memory: 911 2022/08/11 16:34:35 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:06:00 time: 0.0771 data_time: 0.0052 memory: 911 2022/08/11 16:34:36 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:06:06 time: 0.0786 data_time: 0.0055 memory: 911 2022/08/11 16:34:38 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:04:39 time: 0.0601 data_time: 0.0045 memory: 809 2022/08/11 16:34:39 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:04:47 time: 0.0622 data_time: 0.0039 memory: 809 2022/08/11 16:34:40 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:04:38 time: 0.0605 data_time: 0.0048 memory: 809 2022/08/11 16:34:41 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:04:43 time: 0.0619 data_time: 0.0052 memory: 809 2022/08/11 16:34:43 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:04:49 time: 0.0636 data_time: 0.0043 memory: 809 2022/08/11 16:34:45 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:09:35 time: 0.1267 data_time: 0.0474 memory: 809 2022/08/11 16:34:47 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:05:59 time: 0.0795 data_time: 0.0225 memory: 809 2022/08/11 16:34:48 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:05:45 time: 0.0768 data_time: 0.0206 memory: 809 2022/08/11 16:34:49 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:04:27 time: 0.0598 data_time: 0.0032 memory: 809 2022/08/11 16:34:51 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:04:40 time: 0.0628 data_time: 0.0041 memory: 809 2022/08/11 16:34:52 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:06:14 time: 0.0843 data_time: 0.0218 memory: 809 2022/08/11 16:34:56 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:13:39 time: 0.1853 data_time: 0.1260 memory: 809 2022/08/11 16:34:59 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:10:55 time: 0.1489 data_time: 0.0873 memory: 809 2022/08/11 16:35:04 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:16:40 time: 0.2284 data_time: 0.1386 memory: 809 2022/08/11 16:35:06 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:07:02 time: 0.0968 data_time: 0.0429 memory: 809 2022/08/11 16:35:08 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:10:01 time: 0.1384 data_time: 0.0779 memory: 809 2022/08/11 16:35:10 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:04:29 time: 0.0623 data_time: 0.0108 memory: 743 2022/08/11 16:35:11 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:04:03 time: 0.0565 data_time: 0.0043 memory: 743 2022/08/11 16:35:12 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:04:09 time: 0.0583 data_time: 0.0064 memory: 743 2022/08/11 16:35:14 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:06:33 time: 0.0924 data_time: 0.0055 memory: 743 2022/08/11 16:35:15 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:04:02 time: 0.0571 data_time: 0.0053 memory: 743 2022/08/11 16:35:16 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:04:00 time: 0.0570 data_time: 0.0059 memory: 743 2022/08/11 16:35:17 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:03:55 time: 0.0559 data_time: 0.0049 memory: 743 2022/08/11 16:35:18 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:03:54 time: 0.0561 data_time: 0.0058 memory: 743 2022/08/11 16:35:20 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:03:58 time: 0.0574 data_time: 0.0055 memory: 743 2022/08/11 16:35:21 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:03:48 time: 0.0553 data_time: 0.0044 memory: 743 2022/08/11 16:35:22 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:03:50 time: 0.0559 data_time: 0.0058 memory: 738 2022/08/11 16:35:23 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:05:08 time: 0.0752 data_time: 0.0295 memory: 738 2022/08/11 16:35:26 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:08:12 time: 0.1207 data_time: 0.0737 memory: 738 2022/08/11 16:35:28 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:06:48 time: 0.1007 data_time: 0.0553 memory: 738 2022/08/11 16:35:29 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:03:31 time: 0.0524 data_time: 0.0037 memory: 738 2022/08/11 16:35:30 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:03:31 time: 0.0525 data_time: 0.0048 memory: 743 2022/08/11 16:35:31 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:03:45 time: 0.0564 data_time: 0.0050 memory: 743 2022/08/11 16:35:32 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:03:54 time: 0.0589 data_time: 0.0041 memory: 743 2022/08/11 16:35:34 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:05:23 time: 0.0818 data_time: 0.0055 memory: 743 2022/08/11 16:35:35 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:03:59 time: 0.0607 data_time: 0.0053 memory: 743 2022/08/11 16:35:36 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:03:44 time: 0.0572 data_time: 0.0049 memory: 738 2022/08/11 16:35:37 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:03:24 time: 0.0524 data_time: 0.0056 memory: 738 2022/08/11 16:35:38 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:03:21 time: 0.0520 data_time: 0.0045 memory: 738 2022/08/11 16:35:39 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:03:21 time: 0.0521 data_time: 0.0035 memory: 738 2022/08/11 16:35:40 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:03:34 time: 0.0558 data_time: 0.0045 memory: 738 2022/08/11 16:35:42 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:05:12 time: 0.0819 data_time: 0.0175 memory: 809 2022/08/11 16:35:44 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:05:11 time: 0.0820 data_time: 0.0155 memory: 809 2022/08/11 16:35:46 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:05:59 time: 0.0949 data_time: 0.0344 memory: 809 2022/08/11 16:35:47 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:05:34 time: 0.0889 data_time: 0.0042 memory: 809 2022/08/11 16:35:50 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:07:32 time: 0.1210 data_time: 0.0616 memory: 809 2022/08/11 16:35:53 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:08:55 time: 0.1439 data_time: 0.0851 memory: 809 2022/08/11 16:35:56 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:11:16 time: 0.1828 data_time: 0.1232 memory: 809 2022/08/11 16:35:59 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:08:51 time: 0.1442 data_time: 0.0825 memory: 809 2022/08/11 16:36:04 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:12:42 time: 0.2082 data_time: 0.1237 memory: 809 2022/08/11 16:36:05 - mmengine - INFO - Epoch(val) [8][2640/6282] eta: 0:05:48 time: 0.0956 data_time: 0.0368 memory: 809 2022/08/11 16:36:07 - mmengine - INFO - Epoch(val) [8][2660/6282] eta: 0:04:56 time: 0.0820 data_time: 0.0063 memory: 902 2022/08/11 16:36:09 - mmengine - INFO - Epoch(val) [8][2680/6282] eta: 0:04:49 time: 0.0803 data_time: 0.0067 memory: 902 2022/08/11 16:36:10 - mmengine - INFO - Epoch(val) [8][2700/6282] eta: 0:04:51 time: 0.0813 data_time: 0.0072 memory: 902 2022/08/11 16:36:12 - mmengine - INFO - Epoch(val) [8][2720/6282] eta: 0:05:58 time: 0.1007 data_time: 0.0338 memory: 902 2022/08/11 16:36:14 - mmengine - INFO - Epoch(val) [8][2740/6282] eta: 0:05:53 time: 0.0999 data_time: 0.0385 memory: 902 2022/08/11 16:36:17 - mmengine - INFO - Epoch(val) [8][2760/6282] eta: 0:06:28 time: 0.1104 data_time: 0.0645 memory: 743 2022/08/11 16:36:18 - mmengine - INFO - Epoch(val) [8][2780/6282] eta: 0:02:59 time: 0.0514 data_time: 0.0041 memory: 743 2022/08/11 16:36:19 - mmengine - INFO - Epoch(val) [8][2800/6282] eta: 0:03:30 time: 0.0606 data_time: 0.0063 memory: 743 2022/08/11 16:36:20 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:03:06 time: 0.0538 data_time: 0.0049 memory: 743 2022/08/11 16:36:21 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:03:10 time: 0.0553 data_time: 0.0048 memory: 743 2022/08/11 16:36:22 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:03:36 time: 0.0634 data_time: 0.0057 memory: 809 2022/08/11 16:36:24 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:05:30 time: 0.0971 data_time: 0.0129 memory: 809 2022/08/11 16:36:26 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:03:31 time: 0.0626 data_time: 0.0047 memory: 809 2022/08/11 16:36:27 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:03:06 time: 0.0555 data_time: 0.0049 memory: 809 2022/08/11 16:36:28 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:03:04 time: 0.0552 data_time: 0.0046 memory: 773 2022/08/11 16:36:29 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:03:00 time: 0.0544 data_time: 0.0051 memory: 773 2022/08/11 16:36:30 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:02:56 time: 0.0534 data_time: 0.0041 memory: 773 2022/08/11 16:36:31 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:02:56 time: 0.0538 data_time: 0.0037 memory: 773 2022/08/11 16:36:32 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:03:17 time: 0.0606 data_time: 0.0049 memory: 809 2022/08/11 16:36:34 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:03:54 time: 0.0725 data_time: 0.0043 memory: 809 2022/08/11 16:36:35 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:03:20 time: 0.0624 data_time: 0.0048 memory: 809 2022/08/11 16:36:36 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:03:40 time: 0.0689 data_time: 0.0061 memory: 809 2022/08/11 16:36:38 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:04:46 time: 0.0899 data_time: 0.0054 memory: 809 2022/08/11 16:36:39 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:03:01 time: 0.0575 data_time: 0.0061 memory: 743 2022/08/11 16:36:41 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:03:23 time: 0.0647 data_time: 0.0070 memory: 743 2022/08/11 16:36:42 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:03:07 time: 0.0602 data_time: 0.0065 memory: 743 2022/08/11 16:36:43 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:03:37 time: 0.0702 data_time: 0.0061 memory: 743 2022/08/11 16:36:45 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:03:35 time: 0.0698 data_time: 0.0081 memory: 809 2022/08/11 16:36:46 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:03:37 time: 0.0711 data_time: 0.0082 memory: 809 2022/08/11 16:36:48 - mmengine - INFO - Epoch(val) [8][3240/6282] eta: 0:04:19 time: 0.0854 data_time: 0.0237 memory: 809 2022/08/11 16:36:49 - mmengine - INFO - Epoch(val) [8][3260/6282] eta: 0:03:36 time: 0.0716 data_time: 0.0111 memory: 809 2022/08/11 16:36:50 - mmengine - INFO - Epoch(val) [8][3280/6282] eta: 0:03:08 time: 0.0628 data_time: 0.0048 memory: 809 2022/08/11 16:36:52 - mmengine - INFO - Epoch(val) [8][3300/6282] eta: 0:03:09 time: 0.0635 data_time: 0.0051 memory: 809 2022/08/11 16:36:53 - mmengine - INFO - Epoch(val) [8][3320/6282] eta: 0:03:07 time: 0.0632 data_time: 0.0052 memory: 809 2022/08/11 16:36:55 - mmengine - INFO - Epoch(val) [8][3340/6282] eta: 0:04:17 time: 0.0875 data_time: 0.0047 memory: 809 2022/08/11 16:36:56 - mmengine - INFO - Epoch(val) [8][3360/6282] eta: 0:03:07 time: 0.0641 data_time: 0.0050 memory: 809 2022/08/11 16:36:57 - mmengine - INFO - Epoch(val) [8][3380/6282] eta: 0:03:00 time: 0.0621 data_time: 0.0056 memory: 809 2022/08/11 16:36:58 - mmengine - INFO - Epoch(val) [8][3400/6282] eta: 0:02:39 time: 0.0554 data_time: 0.0059 memory: 738 2022/08/11 16:36:59 - mmengine - INFO - Epoch(val) [8][3420/6282] eta: 0:02:28 time: 0.0519 data_time: 0.0044 memory: 738 2022/08/11 16:37:00 - mmengine - INFO - Epoch(val) [8][3440/6282] eta: 0:02:21 time: 0.0498 data_time: 0.0037 memory: 738 2022/08/11 16:37:01 - mmengine - INFO - Epoch(val) [8][3460/6282] eta: 0:02:22 time: 0.0505 data_time: 0.0039 memory: 738 2022/08/11 16:37:03 - mmengine - INFO - Epoch(val) [8][3480/6282] eta: 0:02:21 time: 0.0506 data_time: 0.0044 memory: 738 2022/08/11 16:37:04 - mmengine - INFO - Epoch(val) [8][3500/6282] eta: 0:02:36 time: 0.0564 data_time: 0.0087 memory: 738 2022/08/11 16:37:05 - mmengine - INFO - Epoch(val) [8][3520/6282] eta: 0:02:24 time: 0.0524 data_time: 0.0050 memory: 738 2022/08/11 16:37:06 - mmengine - INFO - Epoch(val) [8][3540/6282] eta: 0:02:23 time: 0.0524 data_time: 0.0058 memory: 738 2022/08/11 16:37:07 - mmengine - INFO - Epoch(val) [8][3560/6282] eta: 0:02:24 time: 0.0531 data_time: 0.0040 memory: 738 2022/08/11 16:37:08 - mmengine - INFO - Epoch(val) [8][3580/6282] eta: 0:02:36 time: 0.0578 data_time: 0.0049 memory: 789 2022/08/11 16:37:09 - mmengine - INFO - Epoch(val) [8][3600/6282] eta: 0:02:39 time: 0.0594 data_time: 0.0048 memory: 789 2022/08/11 16:37:10 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:02:47 time: 0.0630 data_time: 0.0067 memory: 789 2022/08/11 16:37:12 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:02:50 time: 0.0646 data_time: 0.0060 memory: 789 2022/08/11 16:37:13 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:44 time: 0.0628 data_time: 0.0055 memory: 789 2022/08/11 16:37:15 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:04:08 time: 0.0956 data_time: 0.0057 memory: 809 2022/08/11 16:37:17 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:04:28 time: 0.1042 data_time: 0.0392 memory: 809 2022/08/11 16:37:19 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:04:06 time: 0.0961 data_time: 0.0333 memory: 809 2022/08/11 16:37:21 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:03:44 time: 0.0883 data_time: 0.0237 memory: 809 2022/08/11 16:37:23 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:03:46 time: 0.0899 data_time: 0.0269 memory: 809 2022/08/11 16:37:24 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:03:44 time: 0.0895 data_time: 0.0208 memory: 809 2022/08/11 16:37:26 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:03:59 time: 0.0964 data_time: 0.0309 memory: 809 2022/08/11 16:37:28 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:03:07 time: 0.0761 data_time: 0.0123 memory: 809 2022/08/11 16:37:30 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:03:38 time: 0.0894 data_time: 0.0291 memory: 809 2022/08/11 16:37:31 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:03:39 time: 0.0905 data_time: 0.0304 memory: 809 2022/08/11 16:37:34 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:04:30 time: 0.1126 data_time: 0.0263 memory: 809 2022/08/11 16:37:35 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:02:35 time: 0.0654 data_time: 0.0047 memory: 809 2022/08/11 16:37:36 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:02:43 time: 0.0690 data_time: 0.0070 memory: 809 2022/08/11 16:37:38 - mmengine - INFO - Epoch(val) [8][3940/6282] eta: 0:02:42 time: 0.0696 data_time: 0.0090 memory: 809 2022/08/11 16:37:39 - mmengine - INFO - Epoch(val) [8][3960/6282] eta: 0:02:46 time: 0.0716 data_time: 0.0102 memory: 809 2022/08/11 16:37:41 - mmengine - INFO - Epoch(val) [8][3980/6282] eta: 0:02:24 time: 0.0627 data_time: 0.0044 memory: 809 2022/08/11 16:37:42 - mmengine - INFO - Epoch(val) [8][4000/6282] eta: 0:02:21 time: 0.0619 data_time: 0.0056 memory: 809 2022/08/11 16:37:43 - mmengine - INFO - Epoch(val) [8][4020/6282] eta: 0:02:15 time: 0.0600 data_time: 0.0039 memory: 809 2022/08/11 16:37:44 - mmengine - INFO - Epoch(val) [8][4040/6282] eta: 0:02:23 time: 0.0638 data_time: 0.0052 memory: 902 2022/08/11 16:37:46 - mmengine - INFO - Epoch(val) [8][4060/6282] eta: 0:02:36 time: 0.0703 data_time: 0.0041 memory: 902 2022/08/11 16:37:47 - mmengine - INFO - Epoch(val) [8][4080/6282] eta: 0:02:40 time: 0.0729 data_time: 0.0044 memory: 902 2022/08/11 16:37:49 - mmengine - INFO - Epoch(val) [8][4100/6282] eta: 0:02:38 time: 0.0727 data_time: 0.0045 memory: 902 2022/08/11 16:37:50 - mmengine - INFO - Epoch(val) [8][4120/6282] eta: 0:02:49 time: 0.0786 data_time: 0.0064 memory: 902 2022/08/11 16:37:52 - mmengine - INFO - Epoch(val) [8][4140/6282] eta: 0:02:35 time: 0.0727 data_time: 0.0065 memory: 902 2022/08/11 16:37:53 - mmengine - INFO - Epoch(val) [8][4160/6282] eta: 0:01:57 time: 0.0555 data_time: 0.0047 memory: 738 2022/08/11 16:37:54 - mmengine - INFO - Epoch(val) [8][4180/6282] eta: 0:02:48 time: 0.0802 data_time: 0.0045 memory: 738 2022/08/11 16:37:55 - mmengine - INFO - Epoch(val) [8][4200/6282] eta: 0:01:56 time: 0.0558 data_time: 0.0056 memory: 738 2022/08/11 16:37:57 - mmengine - INFO - Epoch(val) [8][4220/6282] eta: 0:01:53 time: 0.0553 data_time: 0.0053 memory: 738 2022/08/11 16:37:58 - mmengine - INFO - Epoch(val) [8][4240/6282] eta: 0:01:54 time: 0.0560 data_time: 0.0054 memory: 738 2022/08/11 16:37:59 - mmengine - INFO - Epoch(val) [8][4260/6282] eta: 0:01:51 time: 0.0552 data_time: 0.0055 memory: 736 2022/08/11 16:38:00 - mmengine - INFO - Epoch(val) [8][4280/6282] eta: 0:01:42 time: 0.0513 data_time: 0.0039 memory: 736 2022/08/11 16:38:01 - mmengine - INFO - Epoch(val) [8][4300/6282] eta: 0:01:42 time: 0.0519 data_time: 0.0046 memory: 736 2022/08/11 16:38:02 - mmengine - INFO - Epoch(val) [8][4320/6282] eta: 0:01:36 time: 0.0490 data_time: 0.0041 memory: 736 2022/08/11 16:38:03 - mmengine - INFO - Epoch(val) [8][4340/6282] eta: 0:01:38 time: 0.0506 data_time: 0.0051 memory: 736 2022/08/11 16:38:04 - mmengine - INFO - Epoch(val) [8][4360/6282] eta: 0:01:57 time: 0.0613 data_time: 0.0044 memory: 809 2022/08/11 16:38:05 - mmengine - INFO - Epoch(val) [8][4380/6282] eta: 0:01:54 time: 0.0603 data_time: 0.0040 memory: 809 2022/08/11 16:38:07 - mmengine - INFO - Epoch(val) [8][4400/6282] eta: 0:01:55 time: 0.0613 data_time: 0.0044 memory: 809 2022/08/11 16:38:08 - mmengine - INFO - Epoch(val) [8][4420/6282] eta: 0:01:55 time: 0.0622 data_time: 0.0042 memory: 809 2022/08/11 16:38:09 - mmengine - INFO - Epoch(val) [8][4440/6282] eta: 0:01:57 time: 0.0636 data_time: 0.0051 memory: 816 2022/08/11 16:38:10 - mmengine - INFO - Epoch(val) [8][4460/6282] eta: 0:02:03 time: 0.0676 data_time: 0.0056 memory: 816 2022/08/11 16:38:12 - mmengine - INFO - Epoch(val) [8][4480/6282] eta: 0:02:00 time: 0.0669 data_time: 0.0052 memory: 816 2022/08/11 16:38:14 - mmengine - INFO - Epoch(val) [8][4500/6282] eta: 0:02:42 time: 0.0914 data_time: 0.0050 memory: 816 2022/08/11 16:38:15 - mmengine - INFO - Epoch(val) [8][4520/6282] eta: 0:01:59 time: 0.0676 data_time: 0.0061 memory: 816 2022/08/11 16:38:16 - mmengine - INFO - Epoch(val) [8][4540/6282] eta: 0:01:35 time: 0.0548 data_time: 0.0051 memory: 743 2022/08/11 16:38:17 - mmengine - INFO - Epoch(val) [8][4560/6282] eta: 0:01:38 time: 0.0571 data_time: 0.0060 memory: 743 2022/08/11 16:38:18 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:37 time: 0.0572 data_time: 0.0049 memory: 743 2022/08/11 16:38:20 - mmengine - INFO - Epoch(val) [8][4600/6282] eta: 0:01:29 time: 0.0533 data_time: 0.0044 memory: 743 2022/08/11 16:38:21 - mmengine - INFO - Epoch(val) [8][4620/6282] eta: 0:01:30 time: 0.0544 data_time: 0.0047 memory: 743 2022/08/11 16:38:22 - mmengine - INFO - Epoch(val) [8][4640/6282] eta: 0:01:45 time: 0.0644 data_time: 0.0054 memory: 816 2022/08/11 16:38:23 - mmengine - INFO - Epoch(val) [8][4660/6282] eta: 0:01:40 time: 0.0623 data_time: 0.0040 memory: 816 2022/08/11 16:38:24 - mmengine - INFO - Epoch(val) [8][4680/6282] eta: 0:01:46 time: 0.0662 data_time: 0.0071 memory: 816 2022/08/11 16:38:26 - mmengine - INFO - Epoch(val) [8][4700/6282] eta: 0:01:38 time: 0.0621 data_time: 0.0043 memory: 816 2022/08/11 16:38:27 - mmengine - INFO - Epoch(val) [8][4720/6282] eta: 0:01:33 time: 0.0598 data_time: 0.0046 memory: 816 2022/08/11 16:38:28 - mmengine - INFO - Epoch(val) [8][4740/6282] eta: 0:01:25 time: 0.0556 data_time: 0.0041 memory: 768 2022/08/11 16:38:29 - mmengine - INFO - Epoch(val) [8][4760/6282] eta: 0:01:22 time: 0.0542 data_time: 0.0039 memory: 768 2022/08/11 16:38:30 - mmengine - INFO - Epoch(val) [8][4780/6282] eta: 0:01:27 time: 0.0581 data_time: 0.0047 memory: 768 2022/08/11 16:38:31 - mmengine - INFO - Epoch(val) [8][4800/6282] eta: 0:01:24 time: 0.0571 data_time: 0.0047 memory: 768 2022/08/11 16:38:33 - mmengine - INFO - Epoch(val) [8][4820/6282] eta: 0:01:30 time: 0.0617 data_time: 0.0045 memory: 809 2022/08/11 16:38:35 - mmengine - INFO - Epoch(val) [8][4840/6282] eta: 0:02:10 time: 0.0902 data_time: 0.0047 memory: 809 2022/08/11 16:38:36 - mmengine - INFO - Epoch(val) [8][4860/6282] eta: 0:01:32 time: 0.0649 data_time: 0.0060 memory: 809 2022/08/11 16:38:37 - mmengine - INFO - Epoch(val) [8][4880/6282] eta: 0:01:32 time: 0.0659 data_time: 0.0051 memory: 809 2022/08/11 16:38:38 - mmengine - INFO - Epoch(val) [8][4900/6282] eta: 0:01:29 time: 0.0648 data_time: 0.0057 memory: 809 2022/08/11 16:38:40 - mmengine - INFO - Epoch(val) [8][4920/6282] eta: 0:01:27 time: 0.0640 data_time: 0.0049 memory: 811 2022/08/11 16:38:41 - mmengine - INFO - Epoch(val) [8][4940/6282] eta: 0:01:25 time: 0.0639 data_time: 0.0045 memory: 811 2022/08/11 16:38:42 - mmengine - INFO - Epoch(val) [8][4960/6282] eta: 0:01:24 time: 0.0640 data_time: 0.0045 memory: 811 2022/08/11 16:38:44 - mmengine - INFO - Epoch(val) [8][4980/6282] eta: 0:01:29 time: 0.0684 data_time: 0.0071 memory: 811 2022/08/11 16:38:45 - mmengine - INFO - Epoch(val) [8][5000/6282] eta: 0:01:29 time: 0.0695 data_time: 0.0056 memory: 811 2022/08/11 16:38:46 - mmengine - INFO - Epoch(val) [8][5020/6282] eta: 0:01:16 time: 0.0605 data_time: 0.0062 memory: 811 2022/08/11 16:38:47 - mmengine - INFO - Epoch(val) [8][5040/6282] eta: 0:01:10 time: 0.0571 data_time: 0.0061 memory: 743 2022/08/11 16:38:49 - mmengine - INFO - Epoch(val) [8][5060/6282] eta: 0:01:07 time: 0.0556 data_time: 0.0060 memory: 743 2022/08/11 16:38:50 - mmengine - INFO - Epoch(val) [8][5080/6282] eta: 0:01:07 time: 0.0564 data_time: 0.0050 memory: 743 2022/08/11 16:38:51 - mmengine - INFO - Epoch(val) [8][5100/6282] eta: 0:01:06 time: 0.0559 data_time: 0.0058 memory: 743 2022/08/11 16:38:52 - mmengine - INFO - Epoch(val) [8][5120/6282] eta: 0:01:05 time: 0.0567 data_time: 0.0045 memory: 743 2022/08/11 16:38:53 - mmengine - INFO - Epoch(val) [8][5140/6282] eta: 0:01:04 time: 0.0565 data_time: 0.0057 memory: 738 2022/08/11 16:38:55 - mmengine - INFO - Epoch(val) [8][5160/6282] eta: 0:01:29 time: 0.0801 data_time: 0.0049 memory: 738 2022/08/11 16:38:56 - mmengine - INFO - Epoch(val) [8][5180/6282] eta: 0:01:03 time: 0.0573 data_time: 0.0055 memory: 738 2022/08/11 16:38:57 - mmengine - INFO - Epoch(val) [8][5200/6282] eta: 0:01:01 time: 0.0572 data_time: 0.0051 memory: 738 2022/08/11 16:38:58 - mmengine - INFO - Epoch(val) [8][5220/6282] eta: 0:00:58 time: 0.0547 data_time: 0.0072 memory: 738 2022/08/11 16:38:59 - mmengine - INFO - Epoch(val) [8][5240/6282] eta: 0:00:58 time: 0.0559 data_time: 0.0058 memory: 736 2022/08/11 16:39:00 - mmengine - INFO - Epoch(val) [8][5260/6282] eta: 0:00:57 time: 0.0564 data_time: 0.0057 memory: 736 2022/08/11 16:39:02 - mmengine - INFO - Epoch(val) [8][5280/6282] eta: 0:00:55 time: 0.0558 data_time: 0.0038 memory: 736 2022/08/11 16:39:03 - mmengine - INFO - Epoch(val) [8][5300/6282] eta: 0:00:55 time: 0.0561 data_time: 0.0055 memory: 736 2022/08/11 16:39:04 - mmengine - INFO - Epoch(val) [8][5320/6282] eta: 0:00:55 time: 0.0575 data_time: 0.0045 memory: 738 2022/08/11 16:39:05 - mmengine - INFO - Epoch(val) [8][5340/6282] eta: 0:00:50 time: 0.0541 data_time: 0.0059 memory: 738 2022/08/11 16:39:06 - mmengine - INFO - Epoch(val) [8][5360/6282] eta: 0:00:51 time: 0.0561 data_time: 0.0064 memory: 738 2022/08/11 16:39:07 - mmengine - INFO - Epoch(val) [8][5380/6282] eta: 0:00:50 time: 0.0561 data_time: 0.0065 memory: 738 2022/08/11 16:39:08 - mmengine - INFO - Epoch(val) [8][5400/6282] eta: 0:00:48 time: 0.0552 data_time: 0.0051 memory: 738 2022/08/11 16:39:09 - mmengine - INFO - Epoch(val) [8][5420/6282] eta: 0:00:48 time: 0.0558 data_time: 0.0066 memory: 738 2022/08/11 16:39:11 - mmengine - INFO - Epoch(val) [8][5440/6282] eta: 0:00:47 time: 0.0564 data_time: 0.0049 memory: 738 2022/08/11 16:39:12 - mmengine - INFO - Epoch(val) [8][5460/6282] eta: 0:00:46 time: 0.0563 data_time: 0.0052 memory: 738 2022/08/11 16:39:13 - mmengine - INFO - Epoch(val) [8][5480/6282] eta: 0:00:46 time: 0.0576 data_time: 0.0063 memory: 738 2022/08/11 16:39:14 - mmengine - INFO - Epoch(val) [8][5500/6282] eta: 0:01:02 time: 0.0801 data_time: 0.0043 memory: 738 2022/08/11 16:39:16 - mmengine - INFO - Epoch(val) [8][5520/6282] eta: 0:00:44 time: 0.0588 data_time: 0.0061 memory: 763 2022/08/11 16:39:17 - mmengine - INFO - Epoch(val) [8][5540/6282] eta: 0:00:42 time: 0.0577 data_time: 0.0046 memory: 763 2022/08/11 16:39:18 - mmengine - INFO - Epoch(val) [8][5560/6282] eta: 0:00:41 time: 0.0569 data_time: 0.0053 memory: 763 2022/08/11 16:39:19 - mmengine - INFO - Epoch(val) [8][5580/6282] eta: 0:00:40 time: 0.0573 data_time: 0.0056 memory: 763 2022/08/11 16:39:20 - mmengine - INFO - Epoch(val) [8][5600/6282] eta: 0:00:40 time: 0.0592 data_time: 0.0046 memory: 763 2022/08/11 16:39:21 - mmengine - INFO - Epoch(val) [8][5620/6282] eta: 0:00:36 time: 0.0552 data_time: 0.0046 memory: 763 2022/08/11 16:39:23 - mmengine - INFO - Epoch(val) [8][5640/6282] eta: 0:00:34 time: 0.0539 data_time: 0.0037 memory: 738 2022/08/11 16:39:25 - mmengine - INFO - Epoch(val) [8][5660/6282] eta: 0:01:19 time: 0.1273 data_time: 0.0564 memory: 738 2022/08/11 16:39:27 - mmengine - INFO - Epoch(val) [8][5680/6282] eta: 0:00:43 time: 0.0720 data_time: 0.0250 memory: 738 2022/08/11 16:39:27 - mmengine - INFO - Epoch(val) [8][5700/6282] eta: 0:00:27 time: 0.0479 data_time: 0.0042 memory: 738 2022/08/11 16:39:29 - mmengine - INFO - Epoch(val) [8][5720/6282] eta: 0:00:39 time: 0.0704 data_time: 0.0242 memory: 780 2022/08/11 16:39:30 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:29 time: 0.0541 data_time: 0.0040 memory: 780 2022/08/11 16:39:31 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:28 time: 0.0540 data_time: 0.0041 memory: 780 2022/08/11 16:39:32 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:28 time: 0.0572 data_time: 0.0047 memory: 780 2022/08/11 16:39:33 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:30 time: 0.0633 data_time: 0.0051 memory: 780 2022/08/11 16:39:35 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:26 time: 0.0572 data_time: 0.0047 memory: 780 2022/08/11 16:39:36 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:37 time: 0.0859 data_time: 0.0051 memory: 763 2022/08/11 16:39:38 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:25 time: 0.0616 data_time: 0.0067 memory: 763 2022/08/11 16:39:39 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:24 time: 0.0617 data_time: 0.0051 memory: 763 2022/08/11 16:39:40 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:21 time: 0.0568 data_time: 0.0055 memory: 763 2022/08/11 16:39:41 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:20 time: 0.0578 data_time: 0.0048 memory: 763 2022/08/11 16:39:42 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:19 time: 0.0584 data_time: 0.0053 memory: 738 2022/08/11 16:39:43 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:18 time: 0.0563 data_time: 0.0056 memory: 738 2022/08/11 16:39:45 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:17 time: 0.0569 data_time: 0.0055 memory: 738 2022/08/11 16:39:46 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:18 time: 0.0643 data_time: 0.0057 memory: 809 2022/08/11 16:39:47 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:18 time: 0.0688 data_time: 0.0062 memory: 809 2022/08/11 16:39:49 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:16 time: 0.0664 data_time: 0.0052 memory: 809 2022/08/11 16:39:50 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:15 time: 0.0686 data_time: 0.0060 memory: 809 2022/08/11 16:39:51 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:00:13 time: 0.0691 data_time: 0.0059 memory: 809 2022/08/11 16:39:53 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:12 time: 0.0680 data_time: 0.0082 memory: 809 2022/08/11 16:39:54 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:12 time: 0.0752 data_time: 0.0143 memory: 809 2022/08/11 16:39:56 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:11 time: 0.0825 data_time: 0.0218 memory: 809 2022/08/11 16:39:57 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:08 time: 0.0727 data_time: 0.0127 memory: 809 2022/08/11 16:39:59 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:06 time: 0.0601 data_time: 0.0049 memory: 809 2022/08/11 16:40:00 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:04 time: 0.0545 data_time: 0.0032 memory: 809 2022/08/11 16:40:01 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:03 time: 0.0542 data_time: 0.0034 memory: 809 2022/08/11 16:40:03 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:03 time: 0.0895 data_time: 0.0037 memory: 809 2022/08/11 16:40:04 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:01 time: 0.0568 data_time: 0.0040 memory: 809 2022/08/11 16:40:05 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0525 data_time: 0.0026 memory: 809 2022/08/11 16:45:18 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.2658 2022/08/11 16:45:32 - mmengine - INFO - Epoch(train) [9][20/3842] lr: 1.0932e-02 eta: 1:06:41 time: 0.6539 data_time: 0.1396 memory: 10484 grad_norm: 0.2706 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8603 recall@top3: 0.8016 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.5143 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 16:45:42 - mmengine - INFO - Epoch(train) [9][40/3842] lr: 1.0878e-02 eta: 1:06:31 time: 0.5197 data_time: 0.0250 memory: 10484 grad_norm: 0.2727 recall@thr=0.5: 0.8373 prec@thr=0.5: 0.8968 recall@top3: 0.8095 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.6190 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 16:45:52 - mmengine - INFO - Epoch(train) [9][60/3842] lr: 1.0824e-02 eta: 1:06:20 time: 0.5186 data_time: 0.0197 memory: 10484 grad_norm: 0.2743 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.8462 recall@top3: 0.7821 prec@top3: 0.7436 recall@top5: 0.8910 prec@top5: 0.5077 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 16:46:03 - mmengine - INFO - Epoch(train) [9][80/3842] lr: 1.0770e-02 eta: 1:06:10 time: 0.5119 data_time: 0.0207 memory: 10484 grad_norm: 0.2559 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8958 recall@top3: 0.9792 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0446 loss: 0.0446 2022/08/11 16:46:13 - mmengine - INFO - Epoch(train) [9][100/3842] lr: 1.0717e-02 eta: 1:06:00 time: 0.5212 data_time: 0.0232 memory: 10484 grad_norm: 0.2631 recall@thr=0.5: 0.7645 prec@thr=0.5: 0.9203 recall@top3: 0.8659 prec@top3: 0.8261 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0432 loss: 0.0432 2022/08/11 16:46:24 - mmengine - INFO - Epoch(train) [9][120/3842] lr: 1.0663e-02 eta: 1:05:49 time: 0.5477 data_time: 0.0193 memory: 10484 grad_norm: 0.2678 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7708 recall@top3: 0.8625 prec@top3: 0.7500 recall@top5: 0.9583 prec@top5: 0.5100 loss_action_cls: 0.0475 loss: 0.0475 2022/08/11 16:46:34 - mmengine - INFO - Epoch(train) [9][140/3842] lr: 1.0609e-02 eta: 1:05:39 time: 0.4907 data_time: 0.0177 memory: 10484 grad_norm: 0.2651 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.9545 recall@top3: 0.9394 prec@top3: 0.8182 recall@top5: 0.9697 prec@top5: 0.5091 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 16:46:44 - mmengine - INFO - Epoch(train) [9][160/3842] lr: 1.0556e-02 eta: 1:05:28 time: 0.5168 data_time: 0.0132 memory: 10484 grad_norm: 0.2750 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8796 recall@top3: 0.8056 prec@top3: 0.7778 recall@top5: 0.9861 prec@top5: 0.5889 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 16:46:54 - mmengine - INFO - Epoch(train) [9][180/3842] lr: 1.0503e-02 eta: 1:05:18 time: 0.4940 data_time: 0.0161 memory: 10484 grad_norm: 0.2667 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8437 recall@top3: 0.8958 prec@top3: 0.7708 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0446 loss: 0.0446 2022/08/11 16:47:05 - mmengine - INFO - Epoch(train) [9][200/3842] lr: 1.0450e-02 eta: 1:05:07 time: 0.5311 data_time: 0.0194 memory: 10484 grad_norm: 0.2671 recall@thr=0.5: 0.6985 prec@thr=0.5: 0.7879 recall@top3: 0.7409 prec@top3: 0.6667 recall@top5: 0.8788 prec@top5: 0.5091 loss_action_cls: 0.0494 loss: 0.0494 2022/08/11 16:47:15 - mmengine - INFO - Epoch(train) [9][220/3842] lr: 1.0397e-02 eta: 1:04:57 time: 0.5252 data_time: 0.0176 memory: 10484 grad_norm: 0.2808 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.6833 recall@top3: 0.7125 prec@top3: 0.5833 recall@top5: 0.8167 prec@top5: 0.4100 loss_action_cls: 0.0457 loss: 0.0457 2022/08/11 16:47:25 - mmengine - INFO - Epoch(train) [9][240/3842] lr: 1.0344e-02 eta: 1:04:46 time: 0.4938 data_time: 0.0160 memory: 10484 grad_norm: 0.2625 recall@thr=0.5: 0.7588 prec@thr=0.5: 0.8421 recall@top3: 0.8158 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4947 loss_action_cls: 0.0440 loss: 0.0440 2022/08/11 16:47:35 - mmengine - INFO - Epoch(train) [9][260/3842] lr: 1.0291e-02 eta: 1:04:36 time: 0.5158 data_time: 0.0147 memory: 10484 grad_norm: 0.2807 recall@thr=0.5: 0.7525 prec@thr=0.5: 0.8233 recall@top3: 0.8592 prec@top3: 0.7000 recall@top5: 0.9317 prec@top5: 0.4600 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 16:47:37 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 16:47:45 - mmengine - INFO - Epoch(train) [9][280/3842] lr: 1.0238e-02 eta: 1:04:25 time: 0.4899 data_time: 0.0174 memory: 10484 grad_norm: 0.2677 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8508 recall@top3: 0.8452 prec@top3: 0.7937 recall@top5: 0.9603 prec@top5: 0.5429 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 16:47:56 - mmengine - INFO - Epoch(train) [9][300/3842] lr: 1.0186e-02 eta: 1:04:15 time: 0.5144 data_time: 0.0161 memory: 10484 grad_norm: 0.2821 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.7396 recall@top3: 0.8490 prec@top3: 0.6458 recall@top5: 0.9792 prec@top5: 0.4500 loss_action_cls: 0.0461 loss: 0.0461 2022/08/11 16:48:05 - mmengine - INFO - Epoch(train) [9][320/3842] lr: 1.0133e-02 eta: 1:04:04 time: 0.4884 data_time: 0.0174 memory: 10484 grad_norm: 0.2856 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8958 recall@top3: 0.8333 prec@top3: 0.7500 recall@top5: 0.8958 prec@top5: 0.5000 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 16:48:16 - mmengine - INFO - Epoch(train) [9][340/3842] lr: 1.0081e-02 eta: 1:03:54 time: 0.5151 data_time: 0.0153 memory: 10484 grad_norm: 0.2712 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8472 recall@top3: 0.8981 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0424 loss: 0.0424 2022/08/11 16:48:25 - mmengine - INFO - Epoch(train) [9][360/3842] lr: 1.0029e-02 eta: 1:03:43 time: 0.4891 data_time: 0.0182 memory: 10484 grad_norm: 0.2679 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8646 recall@top3: 0.8958 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0424 loss: 0.0424 2022/08/11 16:48:36 - mmengine - INFO - Epoch(train) [9][380/3842] lr: 9.9764e-03 eta: 1:03:32 time: 0.5214 data_time: 0.0149 memory: 10484 grad_norm: 0.2845 recall@thr=0.5: 0.7433 prec@thr=0.5: 0.7833 recall@top3: 0.8733 prec@top3: 0.6444 recall@top5: 0.9700 prec@top5: 0.4267 loss_action_cls: 0.0476 loss: 0.0476 2022/08/11 16:48:46 - mmengine - INFO - Epoch(train) [9][400/3842] lr: 9.9244e-03 eta: 1:03:22 time: 0.4918 data_time: 0.0180 memory: 10484 grad_norm: 0.2762 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.9167 recall@top3: 0.9306 prec@top3: 0.8333 recall@top5: 0.9514 prec@top5: 0.5167 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 16:48:56 - mmengine - INFO - Epoch(train) [9][420/3842] lr: 9.8725e-03 eta: 1:03:11 time: 0.5288 data_time: 0.0197 memory: 10484 grad_norm: 0.2609 recall@thr=0.5: 0.7596 prec@thr=0.5: 0.8013 recall@top3: 0.7962 prec@top3: 0.6154 recall@top5: 0.9526 prec@top5: 0.4538 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 16:49:06 - mmengine - INFO - Epoch(train) [9][440/3842] lr: 9.8208e-03 eta: 1:03:01 time: 0.4976 data_time: 0.0171 memory: 10484 grad_norm: 0.2627 recall@thr=0.5: 0.7706 prec@thr=0.5: 0.8588 recall@top3: 0.7324 prec@top3: 0.6863 recall@top5: 0.9265 prec@top5: 0.5647 loss_action_cls: 0.0501 loss: 0.0501 2022/08/11 16:49:17 - mmengine - INFO - Epoch(train) [9][460/3842] lr: 9.7691e-03 eta: 1:02:50 time: 0.5192 data_time: 0.0168 memory: 10484 grad_norm: 0.2725 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8608 recall@top3: 0.8542 prec@top3: 0.7833 recall@top5: 0.9833 prec@top5: 0.5500 loss_action_cls: 0.0461 loss: 0.0461 2022/08/11 16:49:26 - mmengine - INFO - Epoch(train) [9][480/3842] lr: 9.7176e-03 eta: 1:02:40 time: 0.4896 data_time: 0.0188 memory: 10484 grad_norm: 0.2721 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.7917 recall@top3: 0.8083 prec@top3: 0.6667 recall@top5: 0.9708 prec@top5: 0.4700 loss_action_cls: 0.0461 loss: 0.0461 2022/08/11 16:49:37 - mmengine - INFO - Epoch(train) [9][500/3842] lr: 9.6661e-03 eta: 1:02:29 time: 0.5298 data_time: 0.0147 memory: 10484 grad_norm: 0.2772 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8611 recall@top3: 0.8611 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0446 loss: 0.0446 2022/08/11 16:49:47 - mmengine - INFO - Epoch(train) [9][520/3842] lr: 9.6148e-03 eta: 1:02:19 time: 0.4957 data_time: 0.0247 memory: 10484 grad_norm: 0.2818 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.9375 recall@top3: 0.8333 prec@top3: 0.8333 recall@top5: 0.9688 prec@top5: 0.6000 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 16:49:57 - mmengine - INFO - Epoch(train) [9][540/3842] lr: 9.5636e-03 eta: 1:02:08 time: 0.5197 data_time: 0.0165 memory: 10484 grad_norm: 0.2821 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.9286 recall@top3: 0.9345 prec@top3: 0.8571 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 16:50:07 - mmengine - INFO - Epoch(train) [9][560/3842] lr: 9.5125e-03 eta: 1:01:58 time: 0.4899 data_time: 0.0186 memory: 10484 grad_norm: 0.2752 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9444 recall@top3: 1.0000 prec@top3: 0.8056 recall@top5: 1.0000 prec@top5: 0.4833 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 16:50:18 - mmengine - INFO - Epoch(train) [9][580/3842] lr: 9.4616e-03 eta: 1:01:47 time: 0.5332 data_time: 0.0165 memory: 10484 grad_norm: 0.2675 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8667 recall@top3: 0.8167 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.5100 loss_action_cls: 0.0413 loss: 0.0413 2022/08/11 16:50:29 - mmengine - INFO - Epoch(train) [9][600/3842] lr: 9.4107e-03 eta: 1:01:37 time: 0.5598 data_time: 0.0192 memory: 10484 grad_norm: 0.2743 recall@thr=0.5: 0.7508 prec@thr=0.5: 0.8175 recall@top3: 0.8190 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.6095 loss_action_cls: 0.0409 loss: 0.0409 2022/08/11 16:50:40 - mmengine - INFO - Epoch(train) [9][620/3842] lr: 9.3600e-03 eta: 1:01:27 time: 0.5388 data_time: 0.0215 memory: 10484 grad_norm: 0.2681 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.9123 recall@top3: 0.8158 prec@top3: 0.7895 recall@top5: 0.9518 prec@top5: 0.5684 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 16:50:50 - mmengine - INFO - Epoch(train) [9][640/3842] lr: 9.3094e-03 eta: 1:01:16 time: 0.5150 data_time: 0.0187 memory: 10484 grad_norm: 0.2692 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8565 recall@top3: 0.8333 prec@top3: 0.7963 recall@top5: 1.0000 prec@top5: 0.5444 loss_action_cls: 0.0450 loss: 0.0450 2022/08/11 16:51:00 - mmengine - INFO - Epoch(train) [9][660/3842] lr: 9.2589e-03 eta: 1:01:06 time: 0.5054 data_time: 0.0190 memory: 10484 grad_norm: 0.2871 recall@thr=0.5: 0.9028 prec@thr=0.5: 0.9444 recall@top3: 0.9028 prec@top3: 0.7222 recall@top5: 0.9306 prec@top5: 0.4500 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 16:51:10 - mmengine - INFO - Epoch(train) [9][680/3842] lr: 9.2085e-03 eta: 1:00:55 time: 0.5138 data_time: 0.0176 memory: 10484 grad_norm: 0.2789 recall@thr=0.5: 0.8922 prec@thr=0.5: 0.9118 recall@top3: 0.9118 prec@top3: 0.8039 recall@top5: 0.9706 prec@top5: 0.5294 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 16:51:21 - mmengine - INFO - Epoch(train) [9][700/3842] lr: 9.1583e-03 eta: 1:00:45 time: 0.5044 data_time: 0.0200 memory: 10484 grad_norm: 0.2799 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.7944 recall@top3: 0.9667 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 16:51:31 - mmengine - INFO - Epoch(train) [9][720/3842] lr: 9.1081e-03 eta: 1:00:34 time: 0.5177 data_time: 0.0191 memory: 10484 grad_norm: 0.2740 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.8971 recall@top3: 0.8382 prec@top3: 0.9020 recall@top5: 0.9706 prec@top5: 0.6471 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 16:51:41 - mmengine - INFO - Epoch(train) [9][740/3842] lr: 9.0581e-03 eta: 1:00:24 time: 0.4926 data_time: 0.0196 memory: 10484 grad_norm: 0.2786 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.8627 recall@top3: 1.0000 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0447 loss: 0.0447 2022/08/11 16:51:51 - mmengine - INFO - Epoch(train) [9][760/3842] lr: 9.0082e-03 eta: 1:00:13 time: 0.5128 data_time: 0.0163 memory: 10484 grad_norm: 0.2724 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.9643 recall@top3: 0.8393 prec@top3: 0.9286 recall@top5: 0.9464 prec@top5: 0.6429 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 16:52:01 - mmengine - INFO - Epoch(train) [9][780/3842] lr: 8.9584e-03 eta: 1:00:03 time: 0.4922 data_time: 0.0184 memory: 10484 grad_norm: 0.2720 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5357 recall@top3: 0.8452 prec@top3: 0.5952 recall@top5: 0.9643 prec@top5: 0.4286 loss_action_cls: 0.0507 loss: 0.0507 2022/08/11 16:52:11 - mmengine - INFO - Epoch(train) [9][800/3842] lr: 8.9087e-03 eta: 0:59:52 time: 0.5223 data_time: 0.0165 memory: 10484 grad_norm: 0.2704 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7157 recall@top3: 0.7794 prec@top3: 0.5686 recall@top5: 0.8824 prec@top5: 0.4000 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 16:52:21 - mmengine - INFO - Epoch(train) [9][820/3842] lr: 8.8592e-03 eta: 0:59:42 time: 0.4914 data_time: 0.0187 memory: 10484 grad_norm: 0.2753 recall@thr=0.5: 0.8864 prec@thr=0.5: 1.0000 recall@top3: 0.9773 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0460 loss: 0.0460 2022/08/11 16:52:31 - mmengine - INFO - Epoch(train) [9][840/3842] lr: 8.8098e-03 eta: 0:59:31 time: 0.5147 data_time: 0.0145 memory: 10484 grad_norm: 0.2637 recall@thr=0.5: 0.8295 prec@thr=0.5: 0.9773 recall@top3: 0.8523 prec@top3: 0.6818 recall@top5: 0.9318 prec@top5: 0.4545 loss_action_cls: 0.0437 loss: 0.0437 2022/08/11 16:52:42 - mmengine - INFO - Epoch(train) [9][860/3842] lr: 8.7605e-03 eta: 0:59:21 time: 0.5085 data_time: 0.0187 memory: 10484 grad_norm: 0.2730 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8784 recall@top3: 0.8676 prec@top3: 0.8039 recall@top5: 0.9706 prec@top5: 0.5529 loss_action_cls: 0.0393 loss: 0.0393 2022/08/11 16:52:52 - mmengine - INFO - Epoch(train) [9][880/3842] lr: 8.7113e-03 eta: 0:59:10 time: 0.5150 data_time: 0.0186 memory: 10484 grad_norm: 0.2701 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.8182 recall@top3: 0.6970 prec@top3: 0.6970 recall@top5: 0.8674 prec@top5: 0.5273 loss_action_cls: 0.0450 loss: 0.0450 2022/08/11 16:53:02 - mmengine - INFO - Epoch(train) [9][900/3842] lr: 8.6622e-03 eta: 0:59:00 time: 0.5080 data_time: 0.0215 memory: 10484 grad_norm: 0.2852 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.7857 recall@top3: 0.8810 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.5286 loss_action_cls: 0.0429 loss: 0.0429 2022/08/11 16:53:13 - mmengine - INFO - Epoch(train) [9][920/3842] lr: 8.6133e-03 eta: 0:58:50 time: 0.5544 data_time: 0.0208 memory: 10484 grad_norm: 0.2671 recall@thr=0.5: 0.9107 prec@thr=0.5: 0.9107 recall@top3: 0.9464 prec@top3: 0.8810 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0493 loss: 0.0493 2022/08/11 16:53:24 - mmengine - INFO - Epoch(train) [9][940/3842] lr: 8.5645e-03 eta: 0:58:39 time: 0.5555 data_time: 0.0160 memory: 10484 grad_norm: 0.2711 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.7576 recall@top3: 0.8939 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0467 loss: 0.0467 2022/08/11 16:53:34 - mmengine - INFO - Epoch(train) [9][960/3842] lr: 8.5158e-03 eta: 0:58:29 time: 0.4909 data_time: 0.0194 memory: 10484 grad_norm: 0.2696 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.8229 recall@top3: 0.9271 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.4500 loss_action_cls: 0.0575 loss: 0.0575 2022/08/11 16:53:45 - mmengine - INFO - Epoch(train) [9][980/3842] lr: 8.4672e-03 eta: 0:58:18 time: 0.5454 data_time: 0.0212 memory: 10484 grad_norm: 0.2706 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6944 recall@top3: 0.8576 prec@top3: 0.5972 recall@top5: 0.9653 prec@top5: 0.4167 loss_action_cls: 0.0448 loss: 0.0448 2022/08/11 16:53:55 - mmengine - INFO - Epoch(train) [9][1000/3842] lr: 8.4187e-03 eta: 0:58:08 time: 0.5183 data_time: 0.0230 memory: 10484 grad_norm: 0.2748 recall@thr=0.5: 0.8889 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 16:54:06 - mmengine - INFO - Epoch(train) [9][1020/3842] lr: 8.3704e-03 eta: 0:57:57 time: 0.5195 data_time: 0.0183 memory: 10484 grad_norm: 0.2718 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8571 recall@top3: 0.8095 prec@top3: 0.5476 recall@top5: 0.8452 prec@top5: 0.3429 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 16:54:16 - mmengine - INFO - Epoch(train) [9][1040/3842] lr: 8.3222e-03 eta: 0:57:47 time: 0.5273 data_time: 0.0193 memory: 10484 grad_norm: 0.2791 recall@thr=0.5: 0.8026 prec@thr=0.5: 0.7895 recall@top3: 0.8465 prec@top3: 0.7544 recall@top5: 0.9737 prec@top5: 0.5263 loss_action_cls: 0.0476 loss: 0.0476 2022/08/11 16:54:27 - mmengine - INFO - Epoch(train) [9][1060/3842] lr: 8.2741e-03 eta: 0:57:37 time: 0.5138 data_time: 0.0165 memory: 10484 grad_norm: 0.2704 recall@thr=0.5: 0.7287 prec@thr=0.5: 0.7454 recall@top3: 0.7000 prec@top3: 0.5741 recall@top5: 0.9380 prec@top5: 0.5222 loss_action_cls: 0.0425 loss: 0.0425 2022/08/11 16:54:36 - mmengine - INFO - Epoch(train) [9][1080/3842] lr: 8.2261e-03 eta: 0:57:26 time: 0.4907 data_time: 0.0170 memory: 10484 grad_norm: 0.2787 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8636 recall@top3: 0.9545 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0520 loss: 0.0520 2022/08/11 16:54:47 - mmengine - INFO - Epoch(train) [9][1100/3842] lr: 8.1782e-03 eta: 0:57:16 time: 0.5111 data_time: 0.0141 memory: 10484 grad_norm: 0.2742 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.7377 recall@top3: 0.6884 prec@top3: 0.6232 recall@top5: 0.8478 prec@top5: 0.4696 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 16:54:57 - mmengine - INFO - Epoch(train) [9][1120/3842] lr: 8.1305e-03 eta: 0:57:05 time: 0.5150 data_time: 0.0178 memory: 10484 grad_norm: 0.2782 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8846 recall@top3: 0.8974 prec@top3: 0.7436 recall@top5: 0.9744 prec@top5: 0.4923 loss_action_cls: 0.0474 loss: 0.0474 2022/08/11 16:55:07 - mmengine - INFO - Epoch(train) [9][1140/3842] lr: 8.0829e-03 eta: 0:56:55 time: 0.4911 data_time: 0.0181 memory: 10484 grad_norm: 0.2710 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8194 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 16:55:17 - mmengine - INFO - Epoch(train) [9][1160/3842] lr: 8.0354e-03 eta: 0:56:44 time: 0.5314 data_time: 0.0191 memory: 10484 grad_norm: 0.2883 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7917 recall@top3: 0.8500 prec@top3: 0.5500 recall@top5: 0.9833 prec@top5: 0.3900 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 16:55:27 - mmengine - INFO - Epoch(train) [9][1180/3842] lr: 7.9881e-03 eta: 0:56:34 time: 0.4952 data_time: 0.0161 memory: 10484 grad_norm: 0.2774 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8640 recall@top3: 0.8684 prec@top3: 0.7544 recall@top5: 0.9474 prec@top5: 0.5053 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 16:55:39 - mmengine - INFO - Epoch(train) [9][1200/3842] lr: 7.9408e-03 eta: 0:56:23 time: 0.5929 data_time: 0.0190 memory: 10484 grad_norm: 0.2797 recall@thr=0.5: 0.8910 prec@thr=0.5: 0.8718 recall@top3: 0.9808 prec@top3: 0.7949 recall@top5: 1.0000 prec@top5: 0.4923 loss_action_cls: 0.0435 loss: 0.0435 2022/08/11 16:55:49 - mmengine - INFO - Epoch(train) [9][1220/3842] lr: 7.8937e-03 eta: 0:56:13 time: 0.4900 data_time: 0.0164 memory: 10484 grad_norm: 0.2792 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.8229 recall@top3: 0.7417 prec@top3: 0.6875 recall@top5: 0.9219 prec@top5: 0.5375 loss_action_cls: 0.0486 loss: 0.0486 2022/08/11 16:55:59 - mmengine - INFO - Epoch(train) [9][1240/3842] lr: 7.8467e-03 eta: 0:56:02 time: 0.5108 data_time: 0.0144 memory: 10484 grad_norm: 0.2879 recall@thr=0.5: 0.9323 prec@thr=0.5: 0.8750 recall@top3: 0.9688 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 16:56:10 - mmengine - INFO - Epoch(train) [9][1260/3842] lr: 7.7999e-03 eta: 0:55:52 time: 0.5181 data_time: 0.0171 memory: 10484 grad_norm: 0.2793 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.7652 recall@top3: 0.7992 prec@top3: 0.6212 recall@top5: 0.9379 prec@top5: 0.4727 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 16:56:12 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 16:56:22 - mmengine - INFO - Epoch(train) [9][1280/3842] lr: 7.7531e-03 eta: 0:55:42 time: 0.6296 data_time: 0.0363 memory: 10484 grad_norm: 0.2738 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7738 recall@top3: 0.9167 prec@top3: 0.7857 recall@top5: 0.9762 prec@top5: 0.5000 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 16:56:32 - mmengine - INFO - Epoch(train) [9][1300/3842] lr: 7.7065e-03 eta: 0:55:31 time: 0.5191 data_time: 0.0172 memory: 10484 grad_norm: 0.2737 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.6588 recall@top3: 0.8289 prec@top3: 0.6140 recall@top5: 0.8772 prec@top5: 0.4000 loss_action_cls: 0.0555 loss: 0.0555 2022/08/11 16:56:43 - mmengine - INFO - Epoch(train) [9][1320/3842] lr: 7.6600e-03 eta: 0:55:21 time: 0.5251 data_time: 0.0246 memory: 10484 grad_norm: 0.2870 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8182 recall@top3: 0.8485 prec@top3: 0.6515 recall@top5: 0.9545 prec@top5: 0.4455 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 16:56:53 - mmengine - INFO - Epoch(train) [9][1340/3842] lr: 7.6137e-03 eta: 0:55:10 time: 0.4940 data_time: 0.0203 memory: 10484 grad_norm: 0.2808 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7176 recall@top3: 0.8194 prec@top3: 0.7037 recall@top5: 0.9306 prec@top5: 0.4889 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 16:57:03 - mmengine - INFO - Epoch(train) [9][1360/3842] lr: 7.5674e-03 eta: 0:55:00 time: 0.5165 data_time: 0.0160 memory: 10484 grad_norm: 0.2751 recall@thr=0.5: 0.9556 prec@thr=0.5: 0.8222 recall@top3: 1.0000 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 16:57:13 - mmengine - INFO - Epoch(train) [9][1380/3842] lr: 7.5213e-03 eta: 0:54:50 time: 0.5095 data_time: 0.0167 memory: 10484 grad_norm: 0.2733 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.8228 recall@top3: 0.7719 prec@top3: 0.7193 recall@top5: 0.9298 prec@top5: 0.5263 loss_action_cls: 0.0492 loss: 0.0492 2022/08/11 16:57:24 - mmengine - INFO - Epoch(train) [9][1400/3842] lr: 7.4753e-03 eta: 0:54:39 time: 0.5219 data_time: 0.0199 memory: 10484 grad_norm: 0.2782 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8750 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.5167 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 16:57:34 - mmengine - INFO - Epoch(train) [9][1420/3842] lr: 7.4295e-03 eta: 0:54:29 time: 0.4974 data_time: 0.0179 memory: 10484 grad_norm: 0.2838 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8437 recall@top3: 0.8656 prec@top3: 0.8750 recall@top5: 0.9375 prec@top5: 0.5875 loss_action_cls: 0.0470 loss: 0.0470 2022/08/11 16:57:44 - mmengine - INFO - Epoch(train) [9][1440/3842] lr: 7.3837e-03 eta: 0:54:18 time: 0.4945 data_time: 0.0167 memory: 10484 grad_norm: 0.2788 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7222 recall@top3: 0.8889 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 16:57:54 - mmengine - INFO - Epoch(train) [9][1460/3842] lr: 7.3381e-03 eta: 0:54:08 time: 0.5127 data_time: 0.0158 memory: 10484 grad_norm: 0.2835 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.8333 recall@top3: 0.7619 prec@top3: 0.6429 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 16:58:04 - mmengine - INFO - Epoch(train) [9][1480/3842] lr: 7.2926e-03 eta: 0:53:57 time: 0.4947 data_time: 0.0195 memory: 10484 grad_norm: 0.2855 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8458 recall@top3: 0.7917 prec@top3: 0.7500 recall@top5: 0.9333 prec@top5: 0.5400 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 16:58:14 - mmengine - INFO - Epoch(train) [9][1500/3842] lr: 7.2473e-03 eta: 0:53:47 time: 0.5125 data_time: 0.0138 memory: 10484 grad_norm: 0.2785 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7812 recall@top3: 0.8333 prec@top3: 0.5208 recall@top5: 0.9688 prec@top5: 0.3625 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 16:58:24 - mmengine - INFO - Epoch(train) [9][1520/3842] lr: 7.2020e-03 eta: 0:53:36 time: 0.5035 data_time: 0.0199 memory: 10484 grad_norm: 0.2813 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.7051 recall@top3: 0.6923 prec@top3: 0.6154 recall@top5: 0.9359 prec@top5: 0.4615 loss_action_cls: 0.0432 loss: 0.0432 2022/08/11 16:58:34 - mmengine - INFO - Epoch(train) [9][1540/3842] lr: 7.1569e-03 eta: 0:53:26 time: 0.5168 data_time: 0.0204 memory: 10484 grad_norm: 0.2773 recall@thr=0.5: 0.7424 prec@thr=0.5: 1.0000 recall@top3: 0.9545 prec@top3: 0.7576 recall@top5: 0.9545 prec@top5: 0.4545 loss_action_cls: 0.0388 loss: 0.0388 2022/08/11 16:58:44 - mmengine - INFO - Epoch(train) [9][1560/3842] lr: 7.1119e-03 eta: 0:53:15 time: 0.4933 data_time: 0.0188 memory: 10484 grad_norm: 0.2739 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.6806 recall@top3: 0.8056 prec@top3: 0.4444 recall@top5: 0.8611 prec@top5: 0.3000 loss_action_cls: 0.0487 loss: 0.0487 2022/08/11 16:58:55 - mmengine - INFO - Epoch(train) [9][1580/3842] lr: 7.0671e-03 eta: 0:53:05 time: 0.5083 data_time: 0.0149 memory: 10484 grad_norm: 0.2783 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.7564 recall@top3: 0.8718 prec@top3: 0.5897 recall@top5: 0.9615 prec@top5: 0.4000 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 16:59:04 - mmengine - INFO - Epoch(train) [9][1600/3842] lr: 7.0223e-03 eta: 0:52:54 time: 0.4936 data_time: 0.0188 memory: 10484 grad_norm: 0.2943 recall@thr=0.5: 0.9643 prec@thr=0.5: 0.9107 recall@top3: 0.9286 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 16:59:14 - mmengine - INFO - Epoch(train) [9][1620/3842] lr: 6.9777e-03 eta: 0:52:43 time: 0.5032 data_time: 0.0146 memory: 10484 grad_norm: 0.2903 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.8802 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 0.9427 prec@top5: 0.5375 loss_action_cls: 0.0517 loss: 0.0517 2022/08/11 16:59:25 - mmengine - INFO - Epoch(train) [9][1640/3842] lr: 6.9333e-03 eta: 0:52:33 time: 0.5190 data_time: 0.0181 memory: 10484 grad_norm: 0.2867 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8333 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 16:59:35 - mmengine - INFO - Epoch(train) [9][1660/3842] lr: 6.8889e-03 eta: 0:52:23 time: 0.4982 data_time: 0.0206 memory: 10484 grad_norm: 0.2869 recall@thr=0.5: 0.9206 prec@thr=0.5: 0.8810 recall@top3: 0.9206 prec@top3: 0.8095 recall@top5: 0.9762 prec@top5: 0.5238 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 16:59:45 - mmengine - INFO - Epoch(train) [9][1680/3842] lr: 6.8447e-03 eta: 0:52:12 time: 0.4942 data_time: 0.0172 memory: 10484 grad_norm: 0.2791 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.8472 recall@top3: 0.7708 prec@top3: 0.8056 recall@top5: 0.9514 prec@top5: 0.6167 loss_action_cls: 0.0472 loss: 0.0472 2022/08/11 16:59:55 - mmengine - INFO - Epoch(train) [9][1700/3842] lr: 6.8006e-03 eta: 0:52:02 time: 0.5110 data_time: 0.0169 memory: 10484 grad_norm: 0.2648 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7250 recall@top3: 0.7583 prec@top3: 0.5500 recall@top5: 0.8917 prec@top5: 0.3900 loss_action_cls: 0.0502 loss: 0.0502 2022/08/11 17:00:05 - mmengine - INFO - Epoch(train) [9][1720/3842] lr: 6.7567e-03 eta: 0:51:51 time: 0.5260 data_time: 0.0201 memory: 10484 grad_norm: 0.2638 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7692 recall@top3: 0.8077 prec@top3: 0.6154 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 17:00:15 - mmengine - INFO - Epoch(train) [9][1740/3842] lr: 6.7128e-03 eta: 0:51:41 time: 0.4945 data_time: 0.0174 memory: 10484 grad_norm: 0.2838 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.7609 recall@top3: 0.7971 prec@top3: 0.6812 recall@top5: 0.8732 prec@top5: 0.4522 loss_action_cls: 0.0487 loss: 0.0487 2022/08/11 17:00:26 - mmengine - INFO - Epoch(train) [9][1760/3842] lr: 6.6691e-03 eta: 0:51:30 time: 0.5301 data_time: 0.0148 memory: 10484 grad_norm: 0.2836 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.8873 recall@top3: 0.8627 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5529 loss_action_cls: 0.0456 loss: 0.0456 2022/08/11 17:00:36 - mmengine - INFO - Epoch(train) [9][1780/3842] lr: 6.6255e-03 eta: 0:51:20 time: 0.5182 data_time: 0.0178 memory: 10484 grad_norm: 0.2930 recall@thr=0.5: 0.7848 prec@thr=0.5: 0.8551 recall@top3: 0.8022 prec@top3: 0.7536 recall@top5: 0.9710 prec@top5: 0.5652 loss_action_cls: 0.0494 loss: 0.0494 2022/08/11 17:00:47 - mmengine - INFO - Epoch(train) [9][1800/3842] lr: 6.5821e-03 eta: 0:51:09 time: 0.5111 data_time: 0.0170 memory: 10484 grad_norm: 0.2753 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8480 recall@top3: 0.8725 prec@top3: 0.7843 recall@top5: 0.9608 prec@top5: 0.5294 loss_action_cls: 0.0474 loss: 0.0474 2022/08/11 17:00:57 - mmengine - INFO - Epoch(train) [9][1820/3842] lr: 6.5388e-03 eta: 0:50:59 time: 0.5050 data_time: 0.0168 memory: 10484 grad_norm: 0.2722 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8393 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0442 loss: 0.0442 2022/08/11 17:01:07 - mmengine - INFO - Epoch(train) [9][1840/3842] lr: 6.4956e-03 eta: 0:50:48 time: 0.5168 data_time: 0.0215 memory: 10484 grad_norm: 0.2806 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.9167 recall@top3: 0.9222 prec@top3: 0.8222 recall@top5: 0.9778 prec@top5: 0.5333 loss_action_cls: 0.0496 loss: 0.0496 2022/08/11 17:01:17 - mmengine - INFO - Epoch(train) [9][1860/3842] lr: 6.4525e-03 eta: 0:50:38 time: 0.4961 data_time: 0.0184 memory: 10484 grad_norm: 0.2750 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8167 recall@top3: 0.8458 prec@top3: 0.7667 recall@top5: 0.9500 prec@top5: 0.5200 loss_action_cls: 0.0541 loss: 0.0541 2022/08/11 17:01:27 - mmengine - INFO - Epoch(train) [9][1880/3842] lr: 6.4096e-03 eta: 0:50:27 time: 0.5125 data_time: 0.0149 memory: 10484 grad_norm: 0.2614 recall@thr=0.5: 0.7967 prec@thr=0.5: 0.8500 recall@top3: 0.9133 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0440 loss: 0.0440 2022/08/11 17:01:37 - mmengine - INFO - Epoch(train) [9][1900/3842] lr: 6.3668e-03 eta: 0:50:17 time: 0.5081 data_time: 0.0184 memory: 10484 grad_norm: 0.2866 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.6833 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0475 loss: 0.0475 2022/08/11 17:01:48 - mmengine - INFO - Epoch(train) [9][1920/3842] lr: 6.3241e-03 eta: 0:50:06 time: 0.5114 data_time: 0.0164 memory: 10484 grad_norm: 0.2822 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.8077 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9744 prec@top5: 0.4615 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 17:01:58 - mmengine - INFO - Epoch(train) [9][1940/3842] lr: 6.2816e-03 eta: 0:49:56 time: 0.5164 data_time: 0.0207 memory: 10484 grad_norm: 0.2868 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.9167 recall@top3: 0.7865 prec@top3: 0.7708 recall@top5: 0.9271 prec@top5: 0.5500 loss_action_cls: 0.0465 loss: 0.0465 2022/08/11 17:02:08 - mmengine - INFO - Epoch(train) [9][1960/3842] lr: 6.2392e-03 eta: 0:49:45 time: 0.5128 data_time: 0.0169 memory: 10484 grad_norm: 0.2737 recall@thr=0.5: 0.7448 prec@thr=0.5: 0.6771 recall@top3: 0.9010 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4125 loss_action_cls: 0.0444 loss: 0.0444 2022/08/11 17:02:18 - mmengine - INFO - Epoch(train) [9][1980/3842] lr: 6.1969e-03 eta: 0:49:35 time: 0.5079 data_time: 0.0209 memory: 10484 grad_norm: 0.2728 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.8889 recall@top3: 1.0000 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0499 loss: 0.0499 2022/08/11 17:02:29 - mmengine - INFO - Epoch(train) [9][2000/3842] lr: 6.1548e-03 eta: 0:49:25 time: 0.5177 data_time: 0.0216 memory: 10484 grad_norm: 0.2877 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.7778 recall@top3: 0.8444 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.4133 loss_action_cls: 0.0465 loss: 0.0465 2022/08/11 17:02:39 - mmengine - INFO - Epoch(train) [9][2020/3842] lr: 6.1128e-03 eta: 0:49:14 time: 0.5032 data_time: 0.0193 memory: 10484 grad_norm: 0.2919 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.6667 recall@top3: 0.7083 prec@top3: 0.6250 recall@top5: 0.8438 prec@top5: 0.4500 loss_action_cls: 0.0445 loss: 0.0445 2022/08/11 17:02:49 - mmengine - INFO - Epoch(train) [9][2040/3842] lr: 6.0709e-03 eta: 0:49:04 time: 0.5143 data_time: 0.0175 memory: 10484 grad_norm: 0.2664 recall@thr=0.5: 0.7630 prec@thr=0.5: 0.8333 recall@top3: 0.8815 prec@top3: 0.7037 recall@top5: 0.9222 prec@top5: 0.4556 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 17:02:59 - mmengine - INFO - Epoch(train) [9][2060/3842] lr: 6.0291e-03 eta: 0:48:53 time: 0.4941 data_time: 0.0188 memory: 10484 grad_norm: 0.2810 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.7500 recall@top3: 0.8864 prec@top3: 0.5606 recall@top5: 0.9659 prec@top5: 0.3727 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 17:03:09 - mmengine - INFO - Epoch(train) [9][2080/3842] lr: 5.9875e-03 eta: 0:48:43 time: 0.5139 data_time: 0.0140 memory: 10484 grad_norm: 0.2723 recall@thr=0.5: 0.9306 prec@thr=0.5: 0.8611 recall@top3: 0.9583 prec@top3: 0.7083 recall@top5: 0.9896 prec@top5: 0.4417 loss_action_cls: 0.0431 loss: 0.0431 2022/08/11 17:03:20 - mmengine - INFO - Epoch(train) [9][2100/3842] lr: 5.9460e-03 eta: 0:48:32 time: 0.5588 data_time: 0.0176 memory: 10484 grad_norm: 0.2690 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8958 recall@top3: 0.8125 prec@top3: 0.7639 recall@top5: 0.9375 prec@top5: 0.5417 loss_action_cls: 0.0486 loss: 0.0486 2022/08/11 17:03:31 - mmengine - INFO - Epoch(train) [9][2120/3842] lr: 5.9047e-03 eta: 0:48:22 time: 0.5264 data_time: 0.0314 memory: 10484 grad_norm: 0.2918 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.9167 recall@top3: 0.8810 prec@top3: 0.7302 recall@top5: 0.9524 prec@top5: 0.4667 loss_action_cls: 0.0517 loss: 0.0517 2022/08/11 17:03:42 - mmengine - INFO - Epoch(train) [9][2140/3842] lr: 5.8634e-03 eta: 0:48:11 time: 0.5365 data_time: 0.0206 memory: 10484 grad_norm: 0.2878 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.9537 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9722 prec@top5: 0.4111 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 17:03:51 - mmengine - INFO - Epoch(train) [9][2160/3842] lr: 5.8223e-03 eta: 0:48:01 time: 0.4909 data_time: 0.0183 memory: 10484 grad_norm: 0.2803 recall@thr=0.5: 0.7421 prec@thr=0.5: 0.7460 recall@top3: 0.8452 prec@top3: 0.6032 recall@top5: 0.9563 prec@top5: 0.4095 loss_action_cls: 0.0491 loss: 0.0491 2022/08/11 17:04:02 - mmengine - INFO - Epoch(train) [9][2180/3842] lr: 5.7814e-03 eta: 0:47:51 time: 0.5320 data_time: 0.0227 memory: 10484 grad_norm: 0.2827 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.6574 recall@top3: 0.8287 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4222 loss_action_cls: 0.0470 loss: 0.0470 2022/08/11 17:04:12 - mmengine - INFO - Epoch(train) [9][2200/3842] lr: 5.7406e-03 eta: 0:47:40 time: 0.4900 data_time: 0.0169 memory: 10484 grad_norm: 0.2778 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8246 recall@top3: 0.8596 prec@top3: 0.7895 recall@top5: 1.0000 prec@top5: 0.5684 loss_action_cls: 0.0430 loss: 0.0430 2022/08/11 17:04:22 - mmengine - INFO - Epoch(train) [9][2220/3842] lr: 5.6999e-03 eta: 0:47:30 time: 0.5171 data_time: 0.0207 memory: 10484 grad_norm: 0.2839 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7444 recall@top3: 0.7000 prec@top3: 0.6444 recall@top5: 0.8000 prec@top5: 0.4800 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 17:04:32 - mmengine - INFO - Epoch(train) [9][2240/3842] lr: 5.6593e-03 eta: 0:47:19 time: 0.4902 data_time: 0.0173 memory: 10484 grad_norm: 0.2694 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8333 recall@top3: 0.8220 prec@top3: 0.6818 recall@top5: 0.9848 prec@top5: 0.5091 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 17:04:43 - mmengine - INFO - Epoch(train) [9][2260/3842] lr: 5.6189e-03 eta: 0:47:09 time: 0.5261 data_time: 0.0160 memory: 10484 grad_norm: 0.2859 recall@thr=0.5: 0.9022 prec@thr=0.5: 0.9275 recall@top3: 0.8732 prec@top3: 0.8841 recall@top5: 1.0000 prec@top5: 0.6087 loss_action_cls: 0.0470 loss: 0.0470 2022/08/11 17:04:45 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 17:04:52 - mmengine - INFO - Epoch(train) [9][2280/3842] lr: 5.5786e-03 eta: 0:46:58 time: 0.4909 data_time: 0.0169 memory: 10484 grad_norm: 0.2749 recall@thr=0.5: 0.8384 prec@thr=0.5: 0.9101 recall@top3: 0.8674 prec@top3: 0.7971 recall@top5: 0.9478 prec@top5: 0.5391 loss_action_cls: 0.0474 loss: 0.0474 2022/08/11 17:05:03 - mmengine - INFO - Epoch(train) [9][2300/3842] lr: 5.5384e-03 eta: 0:46:48 time: 0.5296 data_time: 0.0173 memory: 10484 grad_norm: 0.2839 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.9167 recall@top3: 0.8229 prec@top3: 0.6875 recall@top5: 0.9010 prec@top5: 0.4625 loss_action_cls: 0.0474 loss: 0.0474 2022/08/11 17:05:13 - mmengine - INFO - Epoch(train) [9][2320/3842] lr: 5.4984e-03 eta: 0:46:37 time: 0.4947 data_time: 0.0218 memory: 10484 grad_norm: 0.2753 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8462 recall@top3: 0.8974 prec@top3: 0.6154 recall@top5: 0.9744 prec@top5: 0.4154 loss_action_cls: 0.0490 loss: 0.0490 2022/08/11 17:05:23 - mmengine - INFO - Epoch(train) [9][2340/3842] lr: 5.4585e-03 eta: 0:46:27 time: 0.5288 data_time: 0.0155 memory: 10484 grad_norm: 0.2703 recall@thr=0.5: 0.6131 prec@thr=0.5: 0.7619 recall@top3: 0.8690 prec@top3: 0.7381 recall@top5: 0.9167 prec@top5: 0.4714 loss_action_cls: 0.0478 loss: 0.0478 2022/08/11 17:05:33 - mmengine - INFO - Epoch(train) [9][2360/3842] lr: 5.4187e-03 eta: 0:46:16 time: 0.4961 data_time: 0.0228 memory: 10484 grad_norm: 0.2951 recall@thr=0.5: 0.8917 prec@thr=0.5: 0.9333 recall@top3: 0.9417 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 17:05:44 - mmengine - INFO - Epoch(train) [9][2380/3842] lr: 5.3791e-03 eta: 0:46:06 time: 0.5294 data_time: 0.0154 memory: 10484 grad_norm: 0.2728 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.7851 recall@top3: 0.7649 prec@top3: 0.6316 recall@top5: 0.9614 prec@top5: 0.4947 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 17:05:54 - mmengine - INFO - Epoch(train) [9][2400/3842] lr: 5.3396e-03 eta: 0:45:55 time: 0.4938 data_time: 0.0221 memory: 10484 grad_norm: 0.2870 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.8137 recall@top3: 0.7216 prec@top3: 0.5882 recall@top5: 0.8059 prec@top5: 0.4118 loss_action_cls: 0.0514 loss: 0.0514 2022/08/11 17:06:04 - mmengine - INFO - Epoch(train) [9][2420/3842] lr: 5.3003e-03 eta: 0:45:45 time: 0.5285 data_time: 0.0179 memory: 10484 grad_norm: 0.2844 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8333 recall@top3: 0.9792 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0557 loss: 0.0557 2022/08/11 17:06:14 - mmengine - INFO - Epoch(train) [9][2440/3842] lr: 5.2610e-03 eta: 0:45:34 time: 0.4975 data_time: 0.0228 memory: 10484 grad_norm: 0.2767 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7436 recall@top3: 0.8077 prec@top3: 0.5641 recall@top5: 0.9359 prec@top5: 0.4000 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 17:06:25 - mmengine - INFO - Epoch(train) [9][2460/3842] lr: 5.2219e-03 eta: 0:45:24 time: 0.5251 data_time: 0.0155 memory: 10484 grad_norm: 0.2932 recall@thr=0.5: 0.8385 prec@thr=0.5: 0.7812 recall@top3: 0.8021 prec@top3: 0.7083 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 17:06:35 - mmengine - INFO - Epoch(train) [9][2480/3842] lr: 5.1830e-03 eta: 0:45:13 time: 0.4896 data_time: 0.0170 memory: 10484 grad_norm: 0.2809 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.7843 recall@top3: 0.7892 prec@top3: 0.7059 recall@top5: 0.9461 prec@top5: 0.5294 loss_action_cls: 0.0470 loss: 0.0470 2022/08/11 17:06:45 - mmengine - INFO - Epoch(train) [9][2500/3842] lr: 5.1442e-03 eta: 0:45:03 time: 0.5149 data_time: 0.0147 memory: 10484 grad_norm: 0.2903 recall@thr=0.5: 0.8143 prec@thr=0.5: 0.9167 recall@top3: 0.8714 prec@top3: 0.7619 recall@top5: 0.9000 prec@top5: 0.4857 loss_action_cls: 0.0493 loss: 0.0493 2022/08/11 17:06:55 - mmengine - INFO - Epoch(train) [9][2520/3842] lr: 5.1055e-03 eta: 0:44:52 time: 0.4954 data_time: 0.0211 memory: 10484 grad_norm: 0.2785 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8167 recall@top3: 0.8750 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4200 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 17:07:05 - mmengine - INFO - Epoch(train) [9][2540/3842] lr: 5.0669e-03 eta: 0:44:42 time: 0.5192 data_time: 0.0163 memory: 10484 grad_norm: 0.2794 recall@thr=0.5: 0.8854 prec@thr=0.5: 0.9219 recall@top3: 0.8958 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0441 loss: 0.0441 2022/08/11 17:07:15 - mmengine - INFO - Epoch(train) [9][2560/3842] lr: 5.0285e-03 eta: 0:44:31 time: 0.4913 data_time: 0.0200 memory: 10484 grad_norm: 0.2758 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9167 recall@top3: 0.9500 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4200 loss_action_cls: 0.0497 loss: 0.0497 2022/08/11 17:07:25 - mmengine - INFO - Epoch(train) [9][2580/3842] lr: 4.9902e-03 eta: 0:44:21 time: 0.5159 data_time: 0.0165 memory: 10484 grad_norm: 0.2746 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.6754 recall@top3: 0.7254 prec@top3: 0.5789 recall@top5: 0.8728 prec@top5: 0.4526 loss_action_cls: 0.0485 loss: 0.0485 2022/08/11 17:07:36 - mmengine - INFO - Epoch(train) [9][2600/3842] lr: 4.9521e-03 eta: 0:44:11 time: 0.5163 data_time: 0.0173 memory: 10484 grad_norm: 0.2717 recall@thr=0.5: 0.8284 prec@thr=0.5: 0.8696 recall@top3: 0.8382 prec@top3: 0.7843 recall@top5: 0.9706 prec@top5: 0.5647 loss_action_cls: 0.0530 loss: 0.0530 2022/08/11 17:07:46 - mmengine - INFO - Epoch(train) [9][2620/3842] lr: 4.9141e-03 eta: 0:44:00 time: 0.4886 data_time: 0.0159 memory: 10484 grad_norm: 0.2885 recall@thr=0.5: 0.8542 prec@thr=0.5: 1.0000 recall@top3: 0.9792 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 17:07:56 - mmengine - INFO - Epoch(train) [9][2640/3842] lr: 4.8762e-03 eta: 0:43:50 time: 0.5331 data_time: 0.0181 memory: 10484 grad_norm: 0.2960 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8106 recall@top3: 0.8939 prec@top3: 0.6061 recall@top5: 0.9242 prec@top5: 0.3818 loss_action_cls: 0.0513 loss: 0.0513 2022/08/11 17:08:06 - mmengine - INFO - Epoch(train) [9][2660/3842] lr: 4.8385e-03 eta: 0:43:39 time: 0.4892 data_time: 0.0179 memory: 10484 grad_norm: 0.2789 recall@thr=0.5: 0.8594 prec@thr=0.5: 0.8750 recall@top3: 0.8594 prec@top3: 0.6042 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 17:08:16 - mmengine - INFO - Epoch(train) [9][2680/3842] lr: 4.8009e-03 eta: 0:43:29 time: 0.5157 data_time: 0.0153 memory: 10484 grad_norm: 0.2861 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.6944 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4500 loss_action_cls: 0.0487 loss: 0.0487 2022/08/11 17:08:26 - mmengine - INFO - Epoch(train) [9][2700/3842] lr: 4.7634e-03 eta: 0:43:18 time: 0.4951 data_time: 0.0189 memory: 10484 grad_norm: 0.2705 recall@thr=0.5: 0.7214 prec@thr=0.5: 0.7714 recall@top3: 0.8000 prec@top3: 0.6190 recall@top5: 0.9357 prec@top5: 0.4429 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 17:08:36 - mmengine - INFO - Epoch(train) [9][2720/3842] lr: 4.7261e-03 eta: 0:43:08 time: 0.5136 data_time: 0.0157 memory: 10484 grad_norm: 0.2716 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.9615 recall@top3: 0.8526 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.5385 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 17:08:47 - mmengine - INFO - Epoch(train) [9][2740/3842] lr: 4.6889e-03 eta: 0:42:57 time: 0.5212 data_time: 0.0183 memory: 10484 grad_norm: 0.2892 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8472 recall@top3: 0.8889 prec@top3: 0.7407 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 17:08:57 - mmengine - INFO - Epoch(train) [9][2760/3842] lr: 4.6519e-03 eta: 0:42:47 time: 0.4947 data_time: 0.0175 memory: 10484 grad_norm: 0.2727 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7381 recall@top3: 0.9286 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 17:09:07 - mmengine - INFO - Epoch(train) [9][2780/3842] lr: 4.6150e-03 eta: 0:42:36 time: 0.5156 data_time: 0.0160 memory: 10484 grad_norm: 0.2763 recall@thr=0.5: 0.8889 prec@thr=0.5: 1.0000 recall@top3: 0.9778 prec@top3: 0.7556 recall@top5: 0.9778 prec@top5: 0.4533 loss_action_cls: 0.0456 loss: 0.0456 2022/08/11 17:09:17 - mmengine - INFO - Epoch(train) [9][2800/3842] lr: 4.5782e-03 eta: 0:42:26 time: 0.4921 data_time: 0.0179 memory: 10484 grad_norm: 0.2778 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.8846 recall@top3: 0.9231 prec@top3: 0.7692 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 17:09:27 - mmengine - INFO - Epoch(train) [9][2820/3842] lr: 4.5416e-03 eta: 0:42:15 time: 0.5145 data_time: 0.0150 memory: 10484 grad_norm: 0.2883 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.6923 recall@top3: 0.7500 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.5385 loss_action_cls: 0.0491 loss: 0.0491 2022/08/11 17:09:37 - mmengine - INFO - Epoch(train) [9][2840/3842] lr: 4.5051e-03 eta: 0:42:05 time: 0.4939 data_time: 0.0177 memory: 10484 grad_norm: 0.2758 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.8571 recall@top3: 0.8345 prec@top3: 0.7143 recall@top5: 0.9357 prec@top5: 0.5000 loss_action_cls: 0.0486 loss: 0.0486 2022/08/11 17:09:47 - mmengine - INFO - Epoch(train) [9][2860/3842] lr: 4.4687e-03 eta: 0:41:54 time: 0.5112 data_time: 0.0163 memory: 10484 grad_norm: 0.2852 recall@thr=0.5: 0.7311 prec@thr=0.5: 0.9432 recall@top3: 0.8674 prec@top3: 0.9242 recall@top5: 0.9773 prec@top5: 0.6364 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 17:09:57 - mmengine - INFO - Epoch(train) [9][2880/3842] lr: 4.4325e-03 eta: 0:41:44 time: 0.4972 data_time: 0.0193 memory: 10484 grad_norm: 0.2816 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8704 recall@top3: 0.8241 prec@top3: 0.7222 recall@top5: 0.9815 prec@top5: 0.5222 loss_action_cls: 0.0450 loss: 0.0450 2022/08/11 17:10:08 - mmengine - INFO - Epoch(train) [9][2900/3842] lr: 4.3964e-03 eta: 0:41:34 time: 0.5150 data_time: 0.0177 memory: 10484 grad_norm: 0.2751 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8971 recall@top3: 0.8235 prec@top3: 0.7843 recall@top5: 0.9510 prec@top5: 0.5647 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 17:10:18 - mmengine - INFO - Epoch(train) [9][2920/3842] lr: 4.3604e-03 eta: 0:41:23 time: 0.5136 data_time: 0.0173 memory: 10484 grad_norm: 0.3047 recall@thr=0.5: 0.9107 prec@thr=0.5: 0.8631 recall@top3: 0.8929 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 17:10:28 - mmengine - INFO - Epoch(train) [9][2940/3842] lr: 4.3246e-03 eta: 0:41:13 time: 0.4964 data_time: 0.0180 memory: 10484 grad_norm: 0.2805 recall@thr=0.5: 0.6815 prec@thr=0.5: 0.9583 recall@top3: 0.8120 prec@top3: 0.8333 recall@top5: 0.9444 prec@top5: 0.6111 loss_action_cls: 0.0460 loss: 0.0460 2022/08/11 17:10:38 - mmengine - INFO - Epoch(train) [9][2960/3842] lr: 4.2890e-03 eta: 0:41:02 time: 0.5190 data_time: 0.0162 memory: 10484 grad_norm: 0.2885 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.8254 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9643 prec@top5: 0.4476 loss_action_cls: 0.0436 loss: 0.0436 2022/08/11 17:10:48 - mmengine - INFO - Epoch(train) [9][2980/3842] lr: 4.2534e-03 eta: 0:40:52 time: 0.4896 data_time: 0.0186 memory: 10484 grad_norm: 0.2810 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9697 recall@top3: 1.0000 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0467 loss: 0.0467 2022/08/11 17:10:58 - mmengine - INFO - Epoch(train) [9][3000/3842] lr: 4.2180e-03 eta: 0:40:41 time: 0.5222 data_time: 0.0153 memory: 10484 grad_norm: 0.2788 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7315 recall@top3: 0.7130 prec@top3: 0.6852 recall@top5: 0.8704 prec@top5: 0.5000 loss_action_cls: 0.0469 loss: 0.0469 2022/08/11 17:11:08 - mmengine - INFO - Epoch(train) [9][3020/3842] lr: 4.1828e-03 eta: 0:40:31 time: 0.4890 data_time: 0.0181 memory: 10484 grad_norm: 0.2727 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8333 recall@top3: 0.8522 prec@top3: 0.6444 recall@top5: 0.9778 prec@top5: 0.4933 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 17:11:19 - mmengine - INFO - Epoch(train) [9][3040/3842] lr: 4.1477e-03 eta: 0:40:20 time: 0.5193 data_time: 0.0208 memory: 10484 grad_norm: 0.2878 recall@thr=0.5: 0.7404 prec@thr=0.5: 0.8816 recall@top3: 0.8088 prec@top3: 0.8596 recall@top5: 0.9342 prec@top5: 0.6211 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 17:11:29 - mmengine - INFO - Epoch(train) [9][3060/3842] lr: 4.1127e-03 eta: 0:40:10 time: 0.5145 data_time: 0.0177 memory: 10484 grad_norm: 0.2752 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8824 recall@top3: 0.8824 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0475 loss: 0.0475 2022/08/11 17:11:39 - mmengine - INFO - Epoch(train) [9][3080/3842] lr: 4.0779e-03 eta: 0:39:59 time: 0.4910 data_time: 0.0180 memory: 10484 grad_norm: 0.2851 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8021 recall@top3: 0.9062 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.4625 loss_action_cls: 0.0504 loss: 0.0504 2022/08/11 17:11:49 - mmengine - INFO - Epoch(train) [9][3100/3842] lr: 4.0432e-03 eta: 0:39:49 time: 0.4927 data_time: 0.0152 memory: 10484 grad_norm: 0.2868 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7381 recall@top3: 0.7024 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.5000 loss_action_cls: 0.0540 loss: 0.0540 2022/08/11 17:11:59 - mmengine - INFO - Epoch(train) [9][3120/3842] lr: 4.0086e-03 eta: 0:39:38 time: 0.5130 data_time: 0.0186 memory: 10484 grad_norm: 0.2826 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7372 recall@top3: 0.7949 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4923 loss_action_cls: 0.0446 loss: 0.0446 2022/08/11 17:12:09 - mmengine - INFO - Epoch(train) [9][3140/3842] lr: 3.9742e-03 eta: 0:39:28 time: 0.4897 data_time: 0.0196 memory: 10484 grad_norm: 0.2788 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9444 recall@top3: 1.0000 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 17:12:19 - mmengine - INFO - Epoch(train) [9][3160/3842] lr: 3.9399e-03 eta: 0:39:17 time: 0.4974 data_time: 0.0205 memory: 10484 grad_norm: 0.2841 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6354 recall@top3: 0.8229 prec@top3: 0.4792 recall@top5: 0.9427 prec@top5: 0.3500 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 17:12:29 - mmengine - INFO - Epoch(train) [9][3180/3842] lr: 3.9058e-03 eta: 0:39:07 time: 0.5171 data_time: 0.0180 memory: 10484 grad_norm: 0.2727 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.9608 recall@top3: 0.9412 prec@top3: 0.8235 recall@top5: 1.0000 prec@top5: 0.5294 loss_action_cls: 0.0522 loss: 0.0522 2022/08/11 17:12:39 - mmengine - INFO - Epoch(train) [9][3200/3842] lr: 3.8718e-03 eta: 0:38:56 time: 0.5022 data_time: 0.0192 memory: 10484 grad_norm: 0.2732 recall@thr=0.5: 0.7722 prec@thr=0.5: 0.8444 recall@top3: 0.7556 prec@top3: 0.7556 recall@top5: 0.9167 prec@top5: 0.5600 loss_action_cls: 0.0392 loss: 0.0392 2022/08/11 17:12:49 - mmengine - INFO - Epoch(train) [9][3220/3842] lr: 3.8379e-03 eta: 0:38:46 time: 0.5171 data_time: 0.0179 memory: 10484 grad_norm: 0.2844 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9083 recall@top3: 0.9292 prec@top3: 0.8667 recall@top5: 1.0000 prec@top5: 0.5700 loss_action_cls: 0.0460 loss: 0.0460 2022/08/11 17:12:59 - mmengine - INFO - Epoch(train) [9][3240/3842] lr: 3.8042e-03 eta: 0:38:36 time: 0.4930 data_time: 0.0184 memory: 10484 grad_norm: 0.2773 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.9375 recall@top3: 0.8854 prec@top3: 0.7917 recall@top5: 0.9792 prec@top5: 0.5250 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 17:13:09 - mmengine - INFO - Epoch(train) [9][3260/3842] lr: 3.7707e-03 eta: 0:38:25 time: 0.5133 data_time: 0.0173 memory: 10484 grad_norm: 0.2735 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.8958 recall@top3: 1.0000 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0529 loss: 0.0529 2022/08/11 17:13:11 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 17:13:20 - mmengine - INFO - Epoch(train) [9][3280/3842] lr: 3.7372e-03 eta: 0:38:15 time: 0.5136 data_time: 0.0177 memory: 10484 grad_norm: 0.2811 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.9697 recall@top3: 0.9773 prec@top3: 0.5758 recall@top5: 1.0000 prec@top5: 0.3636 loss_action_cls: 0.0442 loss: 0.0442 2022/08/11 17:13:30 - mmengine - INFO - Epoch(train) [9][3300/3842] lr: 3.7039e-03 eta: 0:38:04 time: 0.5168 data_time: 0.0173 memory: 10484 grad_norm: 0.2879 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.9211 recall@top3: 0.9211 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0490 loss: 0.0490 2022/08/11 17:13:40 - mmengine - INFO - Epoch(train) [9][3320/3842] lr: 3.6708e-03 eta: 0:37:54 time: 0.4918 data_time: 0.0175 memory: 10484 grad_norm: 0.2783 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9000 recall@top3: 0.8667 prec@top3: 0.8000 recall@top5: 0.9111 prec@top5: 0.5067 loss_action_cls: 0.0450 loss: 0.0450 2022/08/11 17:13:50 - mmengine - INFO - Epoch(train) [9][3340/3842] lr: 3.6378e-03 eta: 0:37:43 time: 0.5100 data_time: 0.0163 memory: 10484 grad_norm: 0.2767 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.9844 recall@top3: 0.9792 prec@top3: 0.8542 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0440 loss: 0.0440 2022/08/11 17:14:00 - mmengine - INFO - Epoch(train) [9][3360/3842] lr: 3.6049e-03 eta: 0:37:33 time: 0.4937 data_time: 0.0166 memory: 10484 grad_norm: 0.2641 recall@thr=0.5: 0.9028 prec@thr=0.5: 0.8889 recall@top3: 0.9444 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0399 loss: 0.0399 2022/08/11 17:14:10 - mmengine - INFO - Epoch(train) [9][3380/3842] lr: 3.5722e-03 eta: 0:37:22 time: 0.5195 data_time: 0.0148 memory: 10484 grad_norm: 0.2865 recall@thr=0.5: 0.9500 prec@thr=0.5: 0.7667 recall@top3: 0.9500 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.3800 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 17:14:21 - mmengine - INFO - Epoch(train) [9][3400/3842] lr: 3.5396e-03 eta: 0:37:12 time: 0.5161 data_time: 0.0194 memory: 10484 grad_norm: 0.2845 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.8155 recall@top3: 0.7976 prec@top3: 0.7857 recall@top5: 0.9286 prec@top5: 0.5714 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 17:14:31 - mmengine - INFO - Epoch(train) [9][3420/3842] lr: 3.5072e-03 eta: 0:37:01 time: 0.5152 data_time: 0.0183 memory: 10484 grad_norm: 0.2786 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9630 recall@top3: 0.8056 prec@top3: 0.9444 recall@top5: 0.9815 prec@top5: 0.7111 loss_action_cls: 0.0434 loss: 0.0434 2022/08/11 17:14:42 - mmengine - INFO - Epoch(train) [9][3440/3842] lr: 3.4749e-03 eta: 0:36:51 time: 0.5266 data_time: 0.0213 memory: 10484 grad_norm: 0.2868 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8413 recall@top3: 0.8333 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0519 loss: 0.0519 2022/08/11 17:14:51 - mmengine - INFO - Epoch(train) [9][3460/3842] lr: 3.4427e-03 eta: 0:36:41 time: 0.4923 data_time: 0.0190 memory: 10484 grad_norm: 0.2820 recall@thr=0.5: 0.8712 prec@thr=0.5: 0.8394 recall@top3: 0.8977 prec@top3: 0.8485 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0509 loss: 0.0509 2022/08/11 17:15:02 - mmengine - INFO - Epoch(train) [9][3480/3842] lr: 3.4107e-03 eta: 0:36:30 time: 0.5141 data_time: 0.0156 memory: 10484 grad_norm: 0.2873 recall@thr=0.5: 0.6142 prec@thr=0.5: 0.7125 recall@top3: 0.7217 prec@top3: 0.5833 recall@top5: 0.8433 prec@top5: 0.4300 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 17:15:11 - mmengine - INFO - Epoch(train) [9][3500/3842] lr: 3.3788e-03 eta: 0:36:20 time: 0.4913 data_time: 0.0185 memory: 10484 grad_norm: 0.2743 recall@thr=0.5: 0.6956 prec@thr=0.5: 0.8904 recall@top3: 0.7211 prec@top3: 0.8246 recall@top5: 0.8991 prec@top5: 0.6316 loss_action_cls: 0.0469 loss: 0.0469 2022/08/11 17:15:22 - mmengine - INFO - Epoch(train) [9][3520/3842] lr: 3.3471e-03 eta: 0:36:09 time: 0.5126 data_time: 0.0151 memory: 10484 grad_norm: 0.2717 recall@thr=0.5: 0.8636 prec@thr=0.5: 0.9000 recall@top3: 0.8182 prec@top3: 0.7879 recall@top5: 0.9508 prec@top5: 0.5727 loss_action_cls: 0.0539 loss: 0.0539 2022/08/11 17:15:32 - mmengine - INFO - Epoch(train) [9][3540/3842] lr: 3.3155e-03 eta: 0:35:59 time: 0.4943 data_time: 0.0191 memory: 10484 grad_norm: 0.2694 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7000 recall@top3: 0.7667 prec@top3: 0.6222 recall@top5: 0.9111 prec@top5: 0.4533 loss_action_cls: 0.0534 loss: 0.0534 2022/08/11 17:15:42 - mmengine - INFO - Epoch(train) [9][3560/3842] lr: 3.2841e-03 eta: 0:35:48 time: 0.5157 data_time: 0.0159 memory: 10484 grad_norm: 0.2740 recall@thr=0.5: 0.8969 prec@thr=0.5: 0.9427 recall@top3: 0.8813 prec@top3: 0.8125 recall@top5: 0.9875 prec@top5: 0.5750 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 17:15:52 - mmengine - INFO - Epoch(train) [9][3580/3842] lr: 3.2528e-03 eta: 0:35:38 time: 0.4912 data_time: 0.0200 memory: 10484 grad_norm: 0.2915 recall@thr=0.5: 0.7641 prec@thr=0.5: 0.7436 recall@top3: 0.7526 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.5077 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 17:16:02 - mmengine - INFO - Epoch(train) [9][3600/3842] lr: 3.2216e-03 eta: 0:35:27 time: 0.5116 data_time: 0.0153 memory: 10484 grad_norm: 0.2833 recall@thr=0.5: 0.8308 prec@thr=0.5: 0.8718 recall@top3: 0.8821 prec@top3: 0.6154 recall@top5: 0.9692 prec@top5: 0.4462 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 17:16:12 - mmengine - INFO - Epoch(train) [9][3620/3842] lr: 3.1906e-03 eta: 0:35:17 time: 0.4916 data_time: 0.0175 memory: 10484 grad_norm: 0.2855 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.6863 recall@top3: 0.7010 prec@top3: 0.5882 recall@top5: 0.9020 prec@top5: 0.4471 loss_action_cls: 0.0461 loss: 0.0461 2022/08/11 17:16:22 - mmengine - INFO - Epoch(train) [9][3640/3842] lr: 3.1597e-03 eta: 0:35:06 time: 0.5211 data_time: 0.0178 memory: 10484 grad_norm: 0.2727 recall@thr=0.5: 0.9028 prec@thr=0.5: 0.8519 recall@top3: 0.9583 prec@top3: 0.7407 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0394 loss: 0.0394 2022/08/11 17:16:33 - mmengine - INFO - Epoch(train) [9][3660/3842] lr: 3.1290e-03 eta: 0:34:56 time: 0.5141 data_time: 0.0171 memory: 10484 grad_norm: 0.2828 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7111 recall@top3: 0.7222 prec@top3: 0.6000 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0551 loss: 0.0551 2022/08/11 17:16:42 - mmengine - INFO - Epoch(train) [9][3680/3842] lr: 3.0984e-03 eta: 0:34:45 time: 0.4930 data_time: 0.0172 memory: 10484 grad_norm: 0.2678 recall@thr=0.5: 0.7241 prec@thr=0.5: 0.8426 recall@top3: 0.8074 prec@top3: 0.7037 recall@top5: 0.9074 prec@top5: 0.4889 loss_action_cls: 0.0464 loss: 0.0464 2022/08/11 17:16:53 - mmengine - INFO - Epoch(train) [9][3700/3842] lr: 3.0680e-03 eta: 0:34:35 time: 0.5159 data_time: 0.0168 memory: 10484 grad_norm: 0.2812 recall@thr=0.5: 0.8674 prec@thr=0.5: 0.9242 recall@top3: 0.9470 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 17:17:03 - mmengine - INFO - Epoch(train) [9][3720/3842] lr: 3.0377e-03 eta: 0:34:25 time: 0.5149 data_time: 0.0181 memory: 10484 grad_norm: 0.2785 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7396 recall@top3: 0.8542 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 17:17:13 - mmengine - INFO - Epoch(train) [9][3740/3842] lr: 3.0075e-03 eta: 0:34:14 time: 0.5162 data_time: 0.0168 memory: 10484 grad_norm: 0.2929 recall@thr=0.5: 0.9615 prec@thr=0.5: 0.9038 recall@top3: 1.0000 prec@top3: 0.8974 recall@top5: 1.0000 prec@top5: 0.5385 loss_action_cls: 0.0421 loss: 0.0421 2022/08/11 17:17:23 - mmengine - INFO - Epoch(train) [9][3760/3842] lr: 2.9775e-03 eta: 0:34:04 time: 0.4972 data_time: 0.0194 memory: 10484 grad_norm: 0.2799 recall@thr=0.5: 0.7596 prec@thr=0.5: 0.9035 recall@top3: 0.8351 prec@top3: 0.9123 recall@top5: 0.9439 prec@top5: 0.6316 loss_action_cls: 0.0418 loss: 0.0418 2022/08/11 17:17:34 - mmengine - INFO - Epoch(train) [9][3780/3842] lr: 2.9476e-03 eta: 0:33:53 time: 0.5133 data_time: 0.0161 memory: 10484 grad_norm: 0.2823 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.9643 recall@top3: 0.8000 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.6143 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 17:17:43 - mmengine - INFO - Epoch(train) [9][3800/3842] lr: 2.9179e-03 eta: 0:33:43 time: 0.4950 data_time: 0.0169 memory: 10484 grad_norm: 0.2675 recall@thr=0.5: 0.9271 prec@thr=0.5: 0.9236 recall@top3: 0.8854 prec@top3: 0.8472 recall@top5: 0.9479 prec@top5: 0.5583 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 17:17:54 - mmengine - INFO - Epoch(train) [9][3820/3842] lr: 2.8883e-03 eta: 0:33:32 time: 0.5114 data_time: 0.0168 memory: 10484 grad_norm: 0.2759 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.9375 recall@top3: 0.8646 prec@top3: 0.7500 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 17:18:03 - mmengine - INFO - Epoch(train) [9][3840/3842] lr: 2.8589e-03 eta: 0:33:22 time: 0.4832 data_time: 0.0177 memory: 10484 grad_norm: 0.2832 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.6365 recall@top3: 0.7698 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.5619 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 17:18:04 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 17:18:04 - mmengine - INFO - Epoch(train) [9][3842/3842] lr: 2.8560e-03 eta: 0:33:22 time: 0.4695 data_time: 0.0163 memory: 10484 grad_norm: 0.3316 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.7500 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0467 loss: 0.0467 2022/08/11 17:18:04 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/11 17:18:12 - mmengine - INFO - Epoch(val) [9][20/6282] eta: 0:06:47 time: 0.0651 data_time: 0.0164 memory: 703 2022/08/11 17:18:13 - mmengine - INFO - Epoch(val) [9][40/6282] eta: 0:05:21 time: 0.0514 data_time: 0.0046 memory: 703 2022/08/11 17:18:14 - mmengine - INFO - Epoch(val) [9][60/6282] eta: 0:05:20 time: 0.0516 data_time: 0.0045 memory: 703 2022/08/11 17:18:15 - mmengine - INFO - Epoch(val) [9][80/6282] eta: 0:05:17 time: 0.0511 data_time: 0.0044 memory: 703 2022/08/11 17:18:16 - mmengine - INFO - Epoch(val) [9][100/6282] eta: 0:05:03 time: 0.0491 data_time: 0.0034 memory: 703 2022/08/11 17:18:17 - mmengine - INFO - Epoch(val) [9][120/6282] eta: 0:06:30 time: 0.0634 data_time: 0.0059 memory: 809 2022/08/11 17:18:18 - mmengine - INFO - Epoch(val) [9][140/6282] eta: 0:06:55 time: 0.0677 data_time: 0.0066 memory: 809 2022/08/11 17:18:20 - mmengine - INFO - Epoch(val) [9][160/6282] eta: 0:06:57 time: 0.0682 data_time: 0.0054 memory: 809 2022/08/11 17:18:21 - mmengine - INFO - Epoch(val) [9][180/6282] eta: 0:06:46 time: 0.0666 data_time: 0.0051 memory: 809 2022/08/11 17:18:23 - mmengine - INFO - Epoch(val) [9][200/6282] eta: 0:07:42 time: 0.0760 data_time: 0.0069 memory: 809 2022/08/11 17:18:24 - mmengine - INFO - Epoch(val) [9][220/6282] eta: 0:05:46 time: 0.0572 data_time: 0.0058 memory: 738 2022/08/11 17:18:25 - mmengine - INFO - Epoch(val) [9][240/6282] eta: 0:05:54 time: 0.0586 data_time: 0.0046 memory: 738 2022/08/11 17:18:26 - mmengine - INFO - Epoch(val) [9][260/6282] eta: 0:05:47 time: 0.0577 data_time: 0.0058 memory: 738 2022/08/11 17:18:28 - mmengine - INFO - Epoch(val) [9][280/6282] eta: 0:08:41 time: 0.0869 data_time: 0.0047 memory: 738 2022/08/11 17:18:29 - mmengine - INFO - Epoch(val) [9][300/6282] eta: 0:07:12 time: 0.0722 data_time: 0.0077 memory: 809 2022/08/11 17:18:31 - mmengine - INFO - Epoch(val) [9][320/6282] eta: 0:08:22 time: 0.0842 data_time: 0.0227 memory: 809 2022/08/11 17:18:33 - mmengine - INFO - Epoch(val) [9][340/6282] eta: 0:08:59 time: 0.0909 data_time: 0.0264 memory: 809 2022/08/11 17:18:34 - mmengine - INFO - Epoch(val) [9][360/6282] eta: 0:07:33 time: 0.0766 data_time: 0.0098 memory: 809 2022/08/11 17:18:36 - mmengine - INFO - Epoch(val) [9][380/6282] eta: 0:08:14 time: 0.0838 data_time: 0.0195 memory: 809 2022/08/11 17:18:38 - mmengine - INFO - Epoch(val) [9][400/6282] eta: 0:07:04 time: 0.0722 data_time: 0.0158 memory: 809 2022/08/11 17:18:39 - mmengine - INFO - Epoch(val) [9][420/6282] eta: 0:05:54 time: 0.0605 data_time: 0.0069 memory: 743 2022/08/11 17:18:40 - mmengine - INFO - Epoch(val) [9][440/6282] eta: 0:05:49 time: 0.0598 data_time: 0.0050 memory: 743 2022/08/11 17:18:41 - mmengine - INFO - Epoch(val) [9][460/6282] eta: 0:05:31 time: 0.0569 data_time: 0.0046 memory: 743 2022/08/11 17:18:42 - mmengine - INFO - Epoch(val) [9][480/6282] eta: 0:05:26 time: 0.0563 data_time: 0.0049 memory: 743 2022/08/11 17:18:43 - mmengine - INFO - Epoch(val) [9][500/6282] eta: 0:05:02 time: 0.0523 data_time: 0.0049 memory: 743 2022/08/11 17:18:44 - mmengine - INFO - Epoch(val) [9][520/6282] eta: 0:04:46 time: 0.0496 data_time: 0.0033 memory: 738 2022/08/11 17:18:45 - mmengine - INFO - Epoch(val) [9][540/6282] eta: 0:04:44 time: 0.0495 data_time: 0.0044 memory: 738 2022/08/11 17:18:46 - mmengine - INFO - Epoch(val) [9][560/6282] eta: 0:05:00 time: 0.0525 data_time: 0.0046 memory: 738 2022/08/11 17:18:48 - mmengine - INFO - Epoch(val) [9][580/6282] eta: 0:07:36 time: 0.0800 data_time: 0.0049 memory: 738 2022/08/11 17:18:49 - mmengine - INFO - Epoch(val) [9][600/6282] eta: 0:05:12 time: 0.0550 data_time: 0.0050 memory: 738 2022/08/11 17:18:50 - mmengine - INFO - Epoch(val) [9][620/6282] eta: 0:04:53 time: 0.0518 data_time: 0.0038 memory: 738 2022/08/11 17:18:51 - mmengine - INFO - Epoch(val) [9][640/6282] eta: 0:04:39 time: 0.0496 data_time: 0.0040 memory: 733 2022/08/11 17:18:52 - mmengine - INFO - Epoch(val) [9][660/6282] eta: 0:04:36 time: 0.0492 data_time: 0.0035 memory: 733 2022/08/11 17:18:53 - mmengine - INFO - Epoch(val) [9][680/6282] eta: 0:04:46 time: 0.0512 data_time: 0.0039 memory: 733 2022/08/11 17:18:54 - mmengine - INFO - Epoch(val) [9][700/6282] eta: 0:04:54 time: 0.0528 data_time: 0.0051 memory: 733 2022/08/11 17:18:57 - mmengine - INFO - Epoch(val) [9][720/6282] eta: 0:12:24 time: 0.1339 data_time: 0.0778 memory: 809 2022/08/11 17:19:01 - mmengine - INFO - Epoch(val) [9][740/6282] eta: 0:17:15 time: 0.1869 data_time: 0.1242 memory: 809 2022/08/11 17:19:04 - mmengine - INFO - Epoch(val) [9][760/6282] eta: 0:13:48 time: 0.1501 data_time: 0.0895 memory: 809 2022/08/11 17:19:08 - mmengine - INFO - Epoch(val) [9][780/6282] eta: 0:18:26 time: 0.2010 data_time: 0.1140 memory: 809 2022/08/11 17:19:09 - mmengine - INFO - Epoch(val) [9][800/6282] eta: 0:07:24 time: 0.0810 data_time: 0.0151 memory: 809 2022/08/11 17:19:12 - mmengine - INFO - Epoch(val) [9][820/6282] eta: 0:10:33 time: 0.1161 data_time: 0.0595 memory: 809 2022/08/11 17:19:13 - mmengine - INFO - Epoch(val) [9][840/6282] eta: 0:05:02 time: 0.0556 data_time: 0.0042 memory: 738 2022/08/11 17:19:14 - mmengine - INFO - Epoch(val) [9][860/6282] eta: 0:04:46 time: 0.0529 data_time: 0.0051 memory: 738 2022/08/11 17:19:15 - mmengine - INFO - Epoch(val) [9][880/6282] eta: 0:05:01 time: 0.0559 data_time: 0.0052 memory: 738 2022/08/11 17:19:16 - mmengine - INFO - Epoch(val) [9][900/6282] eta: 0:05:00 time: 0.0558 data_time: 0.0046 memory: 738 2022/08/11 17:19:17 - mmengine - INFO - Epoch(val) [9][920/6282] eta: 0:05:14 time: 0.0587 data_time: 0.0052 memory: 738 2022/08/11 17:19:18 - mmengine - INFO - Epoch(val) [9][940/6282] eta: 0:04:58 time: 0.0559 data_time: 0.0047 memory: 703 2022/08/11 17:19:19 - mmengine - INFO - Epoch(val) [9][960/6282] eta: 0:04:53 time: 0.0552 data_time: 0.0052 memory: 703 2022/08/11 17:19:21 - mmengine - INFO - Epoch(val) [9][980/6282] eta: 0:06:44 time: 0.0764 data_time: 0.0050 memory: 703 2022/08/11 17:19:22 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:04:36 time: 0.0524 data_time: 0.0046 memory: 703 2022/08/11 17:19:23 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:04:54 time: 0.0560 data_time: 0.0048 memory: 738 2022/08/11 17:19:24 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:05:07 time: 0.0586 data_time: 0.0057 memory: 738 2022/08/11 17:19:25 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:04:47 time: 0.0550 data_time: 0.0050 memory: 738 2022/08/11 17:19:27 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:04:48 time: 0.0554 data_time: 0.0061 memory: 738 2022/08/11 17:19:28 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:05:11 time: 0.0601 data_time: 0.0053 memory: 738 2022/08/11 17:19:29 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:05:00 time: 0.0581 data_time: 0.0071 memory: 738 2022/08/11 17:19:30 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:04:53 time: 0.0571 data_time: 0.0054 memory: 738 2022/08/11 17:19:31 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:04:23 time: 0.0514 data_time: 0.0042 memory: 738 2022/08/11 17:19:32 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:04:32 time: 0.0534 data_time: 0.0043 memory: 738 2022/08/11 17:19:33 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:04:31 time: 0.0534 data_time: 0.0040 memory: 738 2022/08/11 17:19:34 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:04:24 time: 0.0523 data_time: 0.0044 memory: 738 2022/08/11 17:19:38 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:15:05 time: 0.1795 data_time: 0.1192 memory: 809 2022/08/11 17:19:41 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:12:21 time: 0.1477 data_time: 0.0900 memory: 809 2022/08/11 17:19:45 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:15:10 time: 0.1821 data_time: 0.1225 memory: 809 2022/08/11 17:19:48 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:12:18 time: 0.1482 data_time: 0.0851 memory: 809 2022/08/11 17:19:51 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:14:47 time: 0.1789 data_time: 0.1140 memory: 809 2022/08/11 17:19:54 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:12:06 time: 0.1470 data_time: 0.0880 memory: 809 2022/08/11 17:19:58 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:15:04 time: 0.1838 data_time: 0.1245 memory: 809 2022/08/11 17:20:01 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:11:36 time: 0.1420 data_time: 0.0823 memory: 809 2022/08/11 17:20:04 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:13:30 time: 0.1660 data_time: 0.0742 memory: 809 2022/08/11 17:20:07 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:11:14 time: 0.1387 data_time: 0.0785 memory: 809 2022/08/11 17:20:08 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:06:47 time: 0.0842 data_time: 0.0260 memory: 809 2022/08/11 17:20:10 - mmengine - INFO - Epoch(val) [9][1460/6282] eta: 0:05:18 time: 0.0661 data_time: 0.0051 memory: 809 2022/08/11 17:20:11 - mmengine - INFO - Epoch(val) [9][1480/6282] eta: 0:05:20 time: 0.0667 data_time: 0.0045 memory: 809 2022/08/11 17:20:12 - mmengine - INFO - Epoch(val) [9][1500/6282] eta: 0:05:25 time: 0.0681 data_time: 0.0084 memory: 809 2022/08/11 17:20:14 - mmengine - INFO - Epoch(val) [9][1520/6282] eta: 0:05:28 time: 0.0690 data_time: 0.0056 memory: 911 2022/08/11 17:20:15 - mmengine - INFO - Epoch(val) [9][1540/6282] eta: 0:06:21 time: 0.0804 data_time: 0.0060 memory: 911 2022/08/11 17:20:17 - mmengine - INFO - Epoch(val) [9][1560/6282] eta: 0:06:04 time: 0.0773 data_time: 0.0063 memory: 911 2022/08/11 17:20:19 - mmengine - INFO - Epoch(val) [9][1580/6282] eta: 0:08:26 time: 0.1078 data_time: 0.0065 memory: 911 2022/08/11 17:20:21 - mmengine - INFO - Epoch(val) [9][1600/6282] eta: 0:06:05 time: 0.0781 data_time: 0.0047 memory: 911 2022/08/11 17:20:22 - mmengine - INFO - Epoch(val) [9][1620/6282] eta: 0:06:08 time: 0.0791 data_time: 0.0067 memory: 911 2022/08/11 17:20:24 - mmengine - INFO - Epoch(val) [9][1640/6282] eta: 0:05:01 time: 0.0649 data_time: 0.0044 memory: 809 2022/08/11 17:20:25 - mmengine - INFO - Epoch(val) [9][1660/6282] eta: 0:04:40 time: 0.0608 data_time: 0.0047 memory: 809 2022/08/11 17:20:26 - mmengine - INFO - Epoch(val) [9][1680/6282] eta: 0:04:34 time: 0.0597 data_time: 0.0049 memory: 809 2022/08/11 17:20:27 - mmengine - INFO - Epoch(val) [9][1700/6282] eta: 0:04:39 time: 0.0610 data_time: 0.0047 memory: 809 2022/08/11 17:20:29 - mmengine - INFO - Epoch(val) [9][1720/6282] eta: 0:04:35 time: 0.0605 data_time: 0.0049 memory: 809 2022/08/11 17:20:30 - mmengine - INFO - Epoch(val) [9][1740/6282] eta: 0:04:27 time: 0.0589 data_time: 0.0039 memory: 809 2022/08/11 17:20:31 - mmengine - INFO - Epoch(val) [9][1760/6282] eta: 0:04:48 time: 0.0638 data_time: 0.0063 memory: 809 2022/08/11 17:20:32 - mmengine - INFO - Epoch(val) [9][1780/6282] eta: 0:05:04 time: 0.0676 data_time: 0.0058 memory: 809 2022/08/11 17:20:34 - mmengine - INFO - Epoch(val) [9][1800/6282] eta: 0:04:54 time: 0.0657 data_time: 0.0043 memory: 809 2022/08/11 17:20:35 - mmengine - INFO - Epoch(val) [9][1820/6282] eta: 0:04:32 time: 0.0610 data_time: 0.0044 memory: 809 2022/08/11 17:20:37 - mmengine - INFO - Epoch(val) [9][1840/6282] eta: 0:06:23 time: 0.0864 data_time: 0.0249 memory: 809 2022/08/11 17:20:40 - mmengine - INFO - Epoch(val) [9][1860/6282] eta: 0:13:27 time: 0.1826 data_time: 0.0989 memory: 809 2022/08/11 17:20:43 - mmengine - INFO - Epoch(val) [9][1880/6282] eta: 0:10:33 time: 0.1439 data_time: 0.0855 memory: 809 2022/08/11 17:20:48 - mmengine - INFO - Epoch(val) [9][1900/6282] eta: 0:17:27 time: 0.2392 data_time: 0.1800 memory: 809 2022/08/11 17:20:51 - mmengine - INFO - Epoch(val) [9][1920/6282] eta: 0:11:44 time: 0.1615 data_time: 0.0828 memory: 809 2022/08/11 17:20:53 - mmengine - INFO - Epoch(val) [9][1940/6282] eta: 0:07:11 time: 0.0994 data_time: 0.0439 memory: 809 2022/08/11 17:20:54 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:03:55 time: 0.0546 data_time: 0.0056 memory: 743 2022/08/11 17:20:55 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:04:01 time: 0.0562 data_time: 0.0057 memory: 743 2022/08/11 17:20:57 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:04:05 time: 0.0574 data_time: 0.0057 memory: 743 2022/08/11 17:20:58 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:04:01 time: 0.0568 data_time: 0.0070 memory: 743 2022/08/11 17:20:59 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:03:58 time: 0.0562 data_time: 0.0057 memory: 743 2022/08/11 17:21:01 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:05:45 time: 0.0819 data_time: 0.0064 memory: 743 2022/08/11 17:21:02 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:03:47 time: 0.0542 data_time: 0.0052 memory: 743 2022/08/11 17:21:03 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:03:33 time: 0.0509 data_time: 0.0039 memory: 743 2022/08/11 17:21:04 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:03:31 time: 0.0509 data_time: 0.0045 memory: 743 2022/08/11 17:21:05 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:03:28 time: 0.0504 data_time: 0.0052 memory: 743 2022/08/11 17:21:06 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:03:31 time: 0.0514 data_time: 0.0040 memory: 738 2022/08/11 17:21:07 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:03:42 time: 0.0543 data_time: 0.0053 memory: 738 2022/08/11 17:21:08 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:03:57 time: 0.0581 data_time: 0.0051 memory: 738 2022/08/11 17:21:09 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:03:42 time: 0.0549 data_time: 0.0037 memory: 738 2022/08/11 17:21:10 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:03:46 time: 0.0561 data_time: 0.0056 memory: 738 2022/08/11 17:21:12 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:05:50 time: 0.0872 data_time: 0.0361 memory: 743 2022/08/11 17:21:13 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:03:34 time: 0.0535 data_time: 0.0039 memory: 743 2022/08/11 17:21:14 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:03:32 time: 0.0534 data_time: 0.0047 memory: 743 2022/08/11 17:21:15 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:03:45 time: 0.0569 data_time: 0.0050 memory: 743 2022/08/11 17:21:17 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:03:52 time: 0.0590 data_time: 0.0070 memory: 743 2022/08/11 17:21:18 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:05:33 time: 0.0850 data_time: 0.0050 memory: 738 2022/08/11 17:21:19 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:03:46 time: 0.0581 data_time: 0.0056 memory: 738 2022/08/11 17:21:21 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:03:46 time: 0.0584 data_time: 0.0054 memory: 738 2022/08/11 17:21:22 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:03:36 time: 0.0561 data_time: 0.0044 memory: 738 2022/08/11 17:21:23 - mmengine - INFO - Epoch(val) [9][2440/6282] eta: 0:03:38 time: 0.0570 data_time: 0.0050 memory: 738 2022/08/11 17:21:25 - mmengine - INFO - Epoch(val) [9][2460/6282] eta: 0:06:23 time: 0.1003 data_time: 0.0384 memory: 809 2022/08/11 17:21:27 - mmengine - INFO - Epoch(val) [9][2480/6282] eta: 0:05:22 time: 0.0849 data_time: 0.0208 memory: 809 2022/08/11 17:21:29 - mmengine - INFO - Epoch(val) [9][2500/6282] eta: 0:06:04 time: 0.0964 data_time: 0.0352 memory: 809 2022/08/11 17:21:30 - mmengine - INFO - Epoch(val) [9][2520/6282] eta: 0:05:22 time: 0.0858 data_time: 0.0263 memory: 809 2022/08/11 17:21:33 - mmengine - INFO - Epoch(val) [9][2540/6282] eta: 0:07:45 time: 0.1243 data_time: 0.0653 memory: 809 2022/08/11 17:21:35 - mmengine - INFO - Epoch(val) [9][2560/6282] eta: 0:08:25 time: 0.1359 data_time: 0.0761 memory: 809 2022/08/11 17:21:39 - mmengine - INFO - Epoch(val) [9][2580/6282] eta: 0:11:49 time: 0.1917 data_time: 0.1339 memory: 809 2022/08/11 17:21:42 - mmengine - INFO - Epoch(val) [9][2600/6282] eta: 0:08:40 time: 0.1415 data_time: 0.0834 memory: 809 2022/08/11 17:21:46 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:10:28 time: 0.1717 data_time: 0.1139 memory: 809 2022/08/11 17:21:48 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:08:33 time: 0.1409 data_time: 0.0770 memory: 809 2022/08/11 17:21:50 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:05:37 time: 0.0932 data_time: 0.0190 memory: 902 2022/08/11 17:21:52 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:04:44 time: 0.0791 data_time: 0.0073 memory: 902 2022/08/11 17:21:53 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:04:44 time: 0.0794 data_time: 0.0062 memory: 902 2022/08/11 17:21:55 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:04:57 time: 0.0835 data_time: 0.0061 memory: 902 2022/08/11 17:21:57 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:04:30 time: 0.0763 data_time: 0.0046 memory: 902 2022/08/11 17:21:58 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:04:46 time: 0.0814 data_time: 0.0038 memory: 743 2022/08/11 17:22:00 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:03:35 time: 0.0614 data_time: 0.0078 memory: 743 2022/08/11 17:22:01 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:03:28 time: 0.0599 data_time: 0.0061 memory: 743 2022/08/11 17:22:02 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:03:21 time: 0.0583 data_time: 0.0049 memory: 743 2022/08/11 17:22:03 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:03:21 time: 0.0585 data_time: 0.0050 memory: 743 2022/08/11 17:22:04 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:03:41 time: 0.0648 data_time: 0.0062 memory: 809 2022/08/11 17:22:06 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:04:20 time: 0.0765 data_time: 0.0177 memory: 809 2022/08/11 17:22:07 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:03:55 time: 0.0696 data_time: 0.0099 memory: 809 2022/08/11 17:22:09 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:03:42 time: 0.0661 data_time: 0.0148 memory: 809 2022/08/11 17:22:10 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:02:55 time: 0.0526 data_time: 0.0042 memory: 773 2022/08/11 17:22:11 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:03:01 time: 0.0547 data_time: 0.0043 memory: 773 2022/08/11 17:22:12 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:02:56 time: 0.0533 data_time: 0.0041 memory: 773 2022/08/11 17:22:13 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:02:52 time: 0.0526 data_time: 0.0042 memory: 773 2022/08/11 17:22:14 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:03:08 time: 0.0577 data_time: 0.0045 memory: 809 2022/08/11 17:22:15 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:03:22 time: 0.0625 data_time: 0.0051 memory: 809 2022/08/11 17:22:17 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:03:27 time: 0.0643 data_time: 0.0050 memory: 809 2022/08/11 17:22:19 - mmengine - INFO - Epoch(val) [9][3080/6282] eta: 0:05:06 time: 0.0957 data_time: 0.0046 memory: 809 2022/08/11 17:22:20 - mmengine - INFO - Epoch(val) [9][3100/6282] eta: 0:03:24 time: 0.0643 data_time: 0.0054 memory: 809 2022/08/11 17:22:21 - mmengine - INFO - Epoch(val) [9][3120/6282] eta: 0:03:07 time: 0.0592 data_time: 0.0058 memory: 743 2022/08/11 17:22:22 - mmengine - INFO - Epoch(val) [9][3140/6282] eta: 0:02:59 time: 0.0573 data_time: 0.0051 memory: 743 2022/08/11 17:22:24 - mmengine - INFO - Epoch(val) [9][3160/6282] eta: 0:03:10 time: 0.0612 data_time: 0.0048 memory: 743 2022/08/11 17:22:25 - mmengine - INFO - Epoch(val) [9][3180/6282] eta: 0:02:59 time: 0.0578 data_time: 0.0044 memory: 743 2022/08/11 17:22:26 - mmengine - INFO - Epoch(val) [9][3200/6282] eta: 0:03:24 time: 0.0663 data_time: 0.0051 memory: 809 2022/08/11 17:22:28 - mmengine - INFO - Epoch(val) [9][3220/6282] eta: 0:04:40 time: 0.0915 data_time: 0.0302 memory: 809 2022/08/11 17:22:29 - mmengine - INFO - Epoch(val) [9][3240/6282] eta: 0:03:47 time: 0.0749 data_time: 0.0128 memory: 809 2022/08/11 17:22:31 - mmengine - INFO - Epoch(val) [9][3260/6282] eta: 0:03:38 time: 0.0723 data_time: 0.0088 memory: 809 2022/08/11 17:22:32 - mmengine - INFO - Epoch(val) [9][3280/6282] eta: 0:03:22 time: 0.0674 data_time: 0.0064 memory: 809 2022/08/11 17:22:33 - mmengine - INFO - Epoch(val) [9][3300/6282] eta: 0:03:06 time: 0.0625 data_time: 0.0048 memory: 809 2022/08/11 17:22:35 - mmengine - INFO - Epoch(val) [9][3320/6282] eta: 0:03:10 time: 0.0643 data_time: 0.0058 memory: 809 2022/08/11 17:22:36 - mmengine - INFO - Epoch(val) [9][3340/6282] eta: 0:03:10 time: 0.0648 data_time: 0.0044 memory: 809 2022/08/11 17:22:37 - mmengine - INFO - Epoch(val) [9][3360/6282] eta: 0:03:18 time: 0.0678 data_time: 0.0050 memory: 809 2022/08/11 17:22:39 - mmengine - INFO - Epoch(val) [9][3380/6282] eta: 0:04:15 time: 0.0881 data_time: 0.0068 memory: 809 2022/08/11 17:22:40 - mmengine - INFO - Epoch(val) [9][3400/6282] eta: 0:02:34 time: 0.0535 data_time: 0.0055 memory: 738 2022/08/11 17:22:41 - mmengine - INFO - Epoch(val) [9][3420/6282] eta: 0:02:30 time: 0.0526 data_time: 0.0057 memory: 738 2022/08/11 17:22:42 - mmengine - INFO - Epoch(val) [9][3440/6282] eta: 0:02:25 time: 0.0510 data_time: 0.0043 memory: 738 2022/08/11 17:22:43 - mmengine - INFO - Epoch(val) [9][3460/6282] eta: 0:02:22 time: 0.0504 data_time: 0.0041 memory: 738 2022/08/11 17:22:44 - mmengine - INFO - Epoch(val) [9][3480/6282] eta: 0:02:17 time: 0.0492 data_time: 0.0037 memory: 738 2022/08/11 17:22:45 - mmengine - INFO - Epoch(val) [9][3500/6282] eta: 0:02:15 time: 0.0485 data_time: 0.0040 memory: 738 2022/08/11 17:22:46 - mmengine - INFO - Epoch(val) [9][3520/6282] eta: 0:02:16 time: 0.0495 data_time: 0.0051 memory: 738 2022/08/11 17:22:47 - mmengine - INFO - Epoch(val) [9][3540/6282] eta: 0:02:20 time: 0.0514 data_time: 0.0044 memory: 738 2022/08/11 17:22:48 - mmengine - INFO - Epoch(val) [9][3560/6282] eta: 0:02:21 time: 0.0519 data_time: 0.0044 memory: 738 2022/08/11 17:22:50 - mmengine - INFO - Epoch(val) [9][3580/6282] eta: 0:02:29 time: 0.0554 data_time: 0.0047 memory: 789 2022/08/11 17:22:51 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:02:47 time: 0.0623 data_time: 0.0057 memory: 789 2022/08/11 17:22:52 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:02:51 time: 0.0645 data_time: 0.0057 memory: 789 2022/08/11 17:22:53 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:02:52 time: 0.0652 data_time: 0.0075 memory: 789 2022/08/11 17:22:55 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:02:44 time: 0.0629 data_time: 0.0047 memory: 789 2022/08/11 17:22:56 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:03:14 time: 0.0748 data_time: 0.0142 memory: 809 2022/08/11 17:22:58 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:04:09 time: 0.0968 data_time: 0.0199 memory: 809 2022/08/11 17:23:00 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:03:30 time: 0.0820 data_time: 0.0158 memory: 809 2022/08/11 17:23:01 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:03:36 time: 0.0852 data_time: 0.0231 memory: 809 2022/08/11 17:23:03 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:03:47 time: 0.0903 data_time: 0.0267 memory: 809 2022/08/11 17:23:05 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:03:44 time: 0.0898 data_time: 0.0293 memory: 809 2022/08/11 17:23:07 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:04:02 time: 0.0978 data_time: 0.0366 memory: 809 2022/08/11 17:23:09 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:03:53 time: 0.0947 data_time: 0.0356 memory: 809 2022/08/11 17:23:11 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:03:46 time: 0.0928 data_time: 0.0259 memory: 809 2022/08/11 17:23:13 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:03:42 time: 0.0917 data_time: 0.0275 memory: 809 2022/08/11 17:23:14 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:03:34 time: 0.0894 data_time: 0.0293 memory: 809 2022/08/11 17:23:16 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:03:37 time: 0.0915 data_time: 0.0299 memory: 809 2022/08/11 17:23:18 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:03:53 time: 0.0990 data_time: 0.0159 memory: 809 2022/08/11 17:23:20 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:02:31 time: 0.0647 data_time: 0.0048 memory: 809 2022/08/11 17:23:21 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:02:33 time: 0.0661 data_time: 0.0048 memory: 809 2022/08/11 17:23:22 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:02:24 time: 0.0627 data_time: 0.0045 memory: 809 2022/08/11 17:23:23 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:02:18 time: 0.0607 data_time: 0.0049 memory: 809 2022/08/11 17:23:25 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:02:14 time: 0.0595 data_time: 0.0049 memory: 809 2022/08/11 17:23:26 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:02:15 time: 0.0605 data_time: 0.0041 memory: 902 2022/08/11 17:23:27 - mmengine - INFO - Epoch(val) [9][4060/6282] eta: 0:02:32 time: 0.0686 data_time: 0.0043 memory: 902 2022/08/11 17:23:29 - mmengine - INFO - Epoch(val) [9][4080/6282] eta: 0:02:36 time: 0.0713 data_time: 0.0053 memory: 902 2022/08/11 17:23:30 - mmengine - INFO - Epoch(val) [9][4100/6282] eta: 0:02:39 time: 0.0729 data_time: 0.0052 memory: 902 2022/08/11 17:23:32 - mmengine - INFO - Epoch(val) [9][4120/6282] eta: 0:02:45 time: 0.0766 data_time: 0.0060 memory: 902 2022/08/11 17:23:33 - mmengine - INFO - Epoch(val) [9][4140/6282] eta: 0:02:28 time: 0.0695 data_time: 0.0060 memory: 902 2022/08/11 17:23:34 - mmengine - INFO - Epoch(val) [9][4160/6282] eta: 0:01:58 time: 0.0559 data_time: 0.0054 memory: 738 2022/08/11 17:23:35 - mmengine - INFO - Epoch(val) [9][4180/6282] eta: 0:01:55 time: 0.0548 data_time: 0.0038 memory: 738 2022/08/11 17:23:36 - mmengine - INFO - Epoch(val) [9][4200/6282] eta: 0:01:55 time: 0.0553 data_time: 0.0050 memory: 738 2022/08/11 17:23:38 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:02:53 time: 0.0841 data_time: 0.0045 memory: 738 2022/08/11 17:23:39 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:01:48 time: 0.0530 data_time: 0.0054 memory: 738 2022/08/11 17:23:40 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:01:49 time: 0.0542 data_time: 0.0055 memory: 736 2022/08/11 17:23:41 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:01:50 time: 0.0551 data_time: 0.0068 memory: 736 2022/08/11 17:23:42 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:01:42 time: 0.0519 data_time: 0.0042 memory: 736 2022/08/11 17:23:43 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:01:38 time: 0.0503 data_time: 0.0049 memory: 736 2022/08/11 17:23:44 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:01:37 time: 0.0504 data_time: 0.0043 memory: 736 2022/08/11 17:23:46 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:01:54 time: 0.0594 data_time: 0.0037 memory: 809 2022/08/11 17:23:47 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:01:58 time: 0.0625 data_time: 0.0050 memory: 809 2022/08/11 17:23:48 - mmengine - INFO - Epoch(val) [9][4400/6282] eta: 0:01:56 time: 0.0618 data_time: 0.0053 memory: 809 2022/08/11 17:23:49 - mmengine - INFO - Epoch(val) [9][4420/6282] eta: 0:02:03 time: 0.0666 data_time: 0.0095 memory: 809 2022/08/11 17:23:51 - mmengine - INFO - Epoch(val) [9][4440/6282] eta: 0:01:55 time: 0.0624 data_time: 0.0056 memory: 816 2022/08/11 17:23:52 - mmengine - INFO - Epoch(val) [9][4460/6282] eta: 0:01:54 time: 0.0627 data_time: 0.0044 memory: 816 2022/08/11 17:23:53 - mmengine - INFO - Epoch(val) [9][4480/6282] eta: 0:01:58 time: 0.0659 data_time: 0.0069 memory: 816 2022/08/11 17:23:55 - mmengine - INFO - Epoch(val) [9][4500/6282] eta: 0:01:58 time: 0.0665 data_time: 0.0060 memory: 816 2022/08/11 17:23:56 - mmengine - INFO - Epoch(val) [9][4520/6282] eta: 0:01:54 time: 0.0650 data_time: 0.0059 memory: 816 2022/08/11 17:23:57 - mmengine - INFO - Epoch(val) [9][4540/6282] eta: 0:01:38 time: 0.0565 data_time: 0.0053 memory: 743 2022/08/11 17:23:59 - mmengine - INFO - Epoch(val) [9][4560/6282] eta: 0:02:26 time: 0.0849 data_time: 0.0048 memory: 743 2022/08/11 17:24:00 - mmengine - INFO - Epoch(val) [9][4580/6282] eta: 0:01:37 time: 0.0575 data_time: 0.0059 memory: 743 2022/08/11 17:24:01 - mmengine - INFO - Epoch(val) [9][4600/6282] eta: 0:01:30 time: 0.0537 data_time: 0.0045 memory: 743 2022/08/11 17:24:02 - mmengine - INFO - Epoch(val) [9][4620/6282] eta: 0:01:27 time: 0.0524 data_time: 0.0041 memory: 743 2022/08/11 17:24:03 - mmengine - INFO - Epoch(val) [9][4640/6282] eta: 0:01:46 time: 0.0646 data_time: 0.0052 memory: 816 2022/08/11 17:24:05 - mmengine - INFO - Epoch(val) [9][4660/6282] eta: 0:01:41 time: 0.0626 data_time: 0.0047 memory: 816 2022/08/11 17:24:06 - mmengine - INFO - Epoch(val) [9][4680/6282] eta: 0:01:41 time: 0.0635 data_time: 0.0041 memory: 816 2022/08/11 17:24:07 - mmengine - INFO - Epoch(val) [9][4700/6282] eta: 0:01:37 time: 0.0617 data_time: 0.0056 memory: 816 2022/08/11 17:24:08 - mmengine - INFO - Epoch(val) [9][4720/6282] eta: 0:01:34 time: 0.0607 data_time: 0.0047 memory: 816 2022/08/11 17:24:10 - mmengine - INFO - Epoch(val) [9][4740/6282] eta: 0:01:29 time: 0.0580 data_time: 0.0052 memory: 768 2022/08/11 17:24:11 - mmengine - INFO - Epoch(val) [9][4760/6282] eta: 0:01:25 time: 0.0560 data_time: 0.0048 memory: 768 2022/08/11 17:24:12 - mmengine - INFO - Epoch(val) [9][4780/6282] eta: 0:01:29 time: 0.0594 data_time: 0.0044 memory: 768 2022/08/11 17:24:13 - mmengine - INFO - Epoch(val) [9][4800/6282] eta: 0:01:23 time: 0.0564 data_time: 0.0041 memory: 768 2022/08/11 17:24:14 - mmengine - INFO - Epoch(val) [9][4820/6282] eta: 0:01:29 time: 0.0615 data_time: 0.0047 memory: 809 2022/08/11 17:24:15 - mmengine - INFO - Epoch(val) [9][4840/6282] eta: 0:01:25 time: 0.0591 data_time: 0.0037 memory: 809 2022/08/11 17:24:18 - mmengine - INFO - Epoch(val) [9][4860/6282] eta: 0:03:05 time: 0.1307 data_time: 0.0756 memory: 809 2022/08/11 17:24:21 - mmengine - INFO - Epoch(val) [9][4880/6282] eta: 0:03:00 time: 0.1289 data_time: 0.0749 memory: 809 2022/08/11 17:24:22 - mmengine - INFO - Epoch(val) [9][4900/6282] eta: 0:01:43 time: 0.0749 data_time: 0.0183 memory: 809 2022/08/11 17:24:23 - mmengine - INFO - Epoch(val) [9][4920/6282] eta: 0:01:24 time: 0.0622 data_time: 0.0039 memory: 811 2022/08/11 17:24:25 - mmengine - INFO - Epoch(val) [9][4940/6282] eta: 0:01:24 time: 0.0628 data_time: 0.0043 memory: 811 2022/08/11 17:24:26 - mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:26 time: 0.0655 data_time: 0.0049 memory: 811 2022/08/11 17:24:28 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:39 time: 0.0762 data_time: 0.0057 memory: 811 2022/08/11 17:24:29 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:01:22 time: 0.0646 data_time: 0.0061 memory: 811 2022/08/11 17:24:30 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:01:13 time: 0.0584 data_time: 0.0051 memory: 811 2022/08/11 17:24:31 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:01:07 time: 0.0545 data_time: 0.0049 memory: 743 2022/08/11 17:24:32 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:01:07 time: 0.0550 data_time: 0.0059 memory: 743 2022/08/11 17:24:33 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:01:06 time: 0.0555 data_time: 0.0052 memory: 743 2022/08/11 17:24:34 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:01:05 time: 0.0551 data_time: 0.0057 memory: 743 2022/08/11 17:24:36 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:01:09 time: 0.0595 data_time: 0.0047 memory: 743 2022/08/11 17:24:37 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:01:02 time: 0.0547 data_time: 0.0045 memory: 738 2022/08/11 17:24:38 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:01:29 time: 0.0801 data_time: 0.0044 memory: 738 2022/08/11 17:24:39 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:00:57 time: 0.0521 data_time: 0.0043 memory: 738 2022/08/11 17:24:42 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:02:20 time: 0.1296 data_time: 0.0822 memory: 738 2022/08/11 17:24:43 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:01:18 time: 0.0743 data_time: 0.0294 memory: 738 2022/08/11 17:24:45 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:01:12 time: 0.0693 data_time: 0.0272 memory: 736 2022/08/11 17:24:46 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:00:54 time: 0.0535 data_time: 0.0048 memory: 736 2022/08/11 17:24:47 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:00:55 time: 0.0553 data_time: 0.0043 memory: 736 2022/08/11 17:24:48 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:00:52 time: 0.0535 data_time: 0.0044 memory: 736 2022/08/11 17:24:49 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:00:50 time: 0.0528 data_time: 0.0038 memory: 738 2022/08/11 17:24:50 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:00:53 time: 0.0567 data_time: 0.0050 memory: 738 2022/08/11 17:24:51 - mmengine - INFO - Epoch(val) [9][5360/6282] eta: 0:00:50 time: 0.0546 data_time: 0.0062 memory: 738 2022/08/11 17:24:53 - mmengine - INFO - Epoch(val) [9][5380/6282] eta: 0:00:50 time: 0.0559 data_time: 0.0045 memory: 738 2022/08/11 17:24:54 - mmengine - INFO - Epoch(val) [9][5400/6282] eta: 0:00:49 time: 0.0566 data_time: 0.0054 memory: 738 2022/08/11 17:24:55 - mmengine - INFO - Epoch(val) [9][5420/6282] eta: 0:00:49 time: 0.0573 data_time: 0.0044 memory: 738 2022/08/11 17:24:56 - mmengine - INFO - Epoch(val) [9][5440/6282] eta: 0:00:49 time: 0.0582 data_time: 0.0053 memory: 738 2022/08/11 17:24:57 - mmengine - INFO - Epoch(val) [9][5460/6282] eta: 0:00:44 time: 0.0545 data_time: 0.0059 memory: 738 2022/08/11 17:24:58 - mmengine - INFO - Epoch(val) [9][5480/6282] eta: 0:00:46 time: 0.0585 data_time: 0.0060 memory: 738 2022/08/11 17:25:00 - mmengine - INFO - Epoch(val) [9][5500/6282] eta: 0:00:59 time: 0.0759 data_time: 0.0038 memory: 738 2022/08/11 17:25:01 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:40 time: 0.0530 data_time: 0.0051 memory: 763 2022/08/11 17:25:02 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:41 time: 0.0558 data_time: 0.0039 memory: 763 2022/08/11 17:25:03 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:37 time: 0.0522 data_time: 0.0047 memory: 763 2022/08/11 17:25:04 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:38 time: 0.0542 data_time: 0.0034 memory: 763 2022/08/11 17:25:05 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:35 time: 0.0525 data_time: 0.0043 memory: 763 2022/08/11 17:25:06 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:36 time: 0.0552 data_time: 0.0060 memory: 763 2022/08/11 17:25:08 - mmengine - INFO - Epoch(val) [9][5640/6282] eta: 0:00:34 time: 0.0545 data_time: 0.0052 memory: 738 2022/08/11 17:25:09 - mmengine - INFO - Epoch(val) [9][5660/6282] eta: 0:00:34 time: 0.0556 data_time: 0.0061 memory: 738 2022/08/11 17:25:10 - mmengine - INFO - Epoch(val) [9][5680/6282] eta: 0:00:31 time: 0.0527 data_time: 0.0051 memory: 738 2022/08/11 17:25:11 - mmengine - INFO - Epoch(val) [9][5700/6282] eta: 0:00:30 time: 0.0532 data_time: 0.0044 memory: 738 2022/08/11 17:25:12 - mmengine - INFO - Epoch(val) [9][5720/6282] eta: 0:00:29 time: 0.0532 data_time: 0.0043 memory: 780 2022/08/11 17:25:13 - mmengine - INFO - Epoch(val) [9][5740/6282] eta: 0:00:30 time: 0.0560 data_time: 0.0048 memory: 780 2022/08/11 17:25:14 - mmengine - INFO - Epoch(val) [9][5760/6282] eta: 0:00:29 time: 0.0560 data_time: 0.0048 memory: 780 2022/08/11 17:25:15 - mmengine - INFO - Epoch(val) [9][5780/6282] eta: 0:00:27 time: 0.0557 data_time: 0.0051 memory: 780 2022/08/11 17:25:17 - mmengine - INFO - Epoch(val) [9][5800/6282] eta: 0:00:38 time: 0.0798 data_time: 0.0056 memory: 780 2022/08/11 17:25:18 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:26 time: 0.0576 data_time: 0.0048 memory: 780 2022/08/11 17:25:19 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:26 time: 0.0607 data_time: 0.0070 memory: 763 2022/08/11 17:25:20 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:24 time: 0.0574 data_time: 0.0061 memory: 763 2022/08/11 17:25:22 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:23 time: 0.0574 data_time: 0.0049 memory: 763 2022/08/11 17:25:23 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:22 time: 0.0586 data_time: 0.0055 memory: 763 2022/08/11 17:25:24 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:21 time: 0.0592 data_time: 0.0050 memory: 763 2022/08/11 17:25:25 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:18 time: 0.0542 data_time: 0.0045 memory: 738 2022/08/11 17:25:27 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:26 time: 0.0815 data_time: 0.0066 memory: 738 2022/08/11 17:25:28 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:16 time: 0.0535 data_time: 0.0039 memory: 738 2022/08/11 17:25:29 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:17 time: 0.0638 data_time: 0.0050 memory: 809 2022/08/11 17:25:30 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:17 time: 0.0670 data_time: 0.0047 memory: 809 2022/08/11 17:25:32 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:16 time: 0.0694 data_time: 0.0052 memory: 809 2022/08/11 17:25:33 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:15 time: 0.0698 data_time: 0.0066 memory: 809 2022/08/11 17:25:35 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:14 time: 0.0701 data_time: 0.0063 memory: 809 2022/08/11 17:25:36 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:16 time: 0.0906 data_time: 0.0270 memory: 809 2022/08/11 17:25:39 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:18 time: 0.1125 data_time: 0.0225 memory: 809 2022/08/11 17:25:40 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:09 time: 0.0703 data_time: 0.0055 memory: 809 2022/08/11 17:25:41 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:08 time: 0.0690 data_time: 0.0068 memory: 809 2022/08/11 17:25:43 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:08 time: 0.0833 data_time: 0.0236 memory: 809 2022/08/11 17:25:44 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:04 time: 0.0565 data_time: 0.0031 memory: 809 2022/08/11 17:25:45 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:03 time: 0.0558 data_time: 0.0034 memory: 809 2022/08/11 17:25:46 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:02 time: 0.0550 data_time: 0.0031 memory: 809 2022/08/11 17:25:48 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:01 time: 0.0547 data_time: 0.0029 memory: 809 2022/08/11 17:25:49 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0531 data_time: 0.0029 memory: 809 2022/08/11 17:31:03 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.2659 2022/08/11 17:31:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_8.pth is removed 2022/08/11 17:31:08 - mmengine - INFO - The best checkpoint with 0.2659 mAP/mAP@0.5IOU at 10 epoch is saved to best_mAP/mAP@0.5IOU_epoch_10.pth. 2022/08/11 17:31:20 - mmengine - INFO - Epoch(train) [10][20/3842] lr: 2.8267e-03 eta: 0:33:10 time: 0.6005 data_time: 0.0999 memory: 10484 grad_norm: 0.2880 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8690 recall@top3: 0.7976 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0550 loss: 0.0550 2022/08/11 17:31:30 - mmengine - INFO - Epoch(train) [10][40/3842] lr: 2.7976e-03 eta: 0:33:00 time: 0.4960 data_time: 0.0222 memory: 10484 grad_norm: 0.2787 recall@thr=0.5: 0.6031 prec@thr=0.5: 0.8229 recall@top3: 0.7563 prec@top3: 0.6458 recall@top5: 0.9250 prec@top5: 0.4875 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 17:31:41 - mmengine - INFO - Epoch(train) [10][60/3842] lr: 2.7686e-03 eta: 0:32:50 time: 0.5774 data_time: 0.0174 memory: 10484 grad_norm: 0.2738 recall@thr=0.5: 0.7992 prec@thr=0.5: 0.9205 recall@top3: 0.8523 prec@top3: 0.8333 recall@top5: 0.9432 prec@top5: 0.5727 loss_action_cls: 0.0452 loss: 0.0452 2022/08/11 17:31:52 - mmengine - INFO - Epoch(train) [10][80/3842] lr: 2.7398e-03 eta: 0:32:39 time: 0.5238 data_time: 0.0230 memory: 10484 grad_norm: 0.2870 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.8810 recall@top3: 0.8929 prec@top3: 0.7857 recall@top5: 0.9643 prec@top5: 0.5000 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 17:32:02 - mmengine - INFO - Epoch(train) [10][100/3842] lr: 2.7111e-03 eta: 0:32:29 time: 0.5278 data_time: 0.0177 memory: 10484 grad_norm: 0.2813 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.8750 recall@top3: 0.7604 prec@top3: 0.7292 recall@top5: 0.9531 prec@top5: 0.5750 loss_action_cls: 0.0539 loss: 0.0539 2022/08/11 17:32:12 - mmengine - INFO - Epoch(train) [10][120/3842] lr: 2.6825e-03 eta: 0:32:18 time: 0.4953 data_time: 0.0164 memory: 10484 grad_norm: 0.2693 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7115 recall@top3: 0.8846 prec@top3: 0.5897 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 17:32:22 - mmengine - INFO - Epoch(train) [10][140/3842] lr: 2.6541e-03 eta: 0:32:08 time: 0.5124 data_time: 0.0138 memory: 10484 grad_norm: 0.2820 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.8659 recall@top3: 0.9130 prec@top3: 0.5797 recall@top5: 0.9710 prec@top5: 0.3826 loss_action_cls: 0.0438 loss: 0.0438 2022/08/11 17:32:32 - mmengine - INFO - Epoch(train) [10][160/3842] lr: 2.6259e-03 eta: 0:31:57 time: 0.4950 data_time: 0.0168 memory: 10484 grad_norm: 0.2865 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9722 recall@top3: 0.8750 prec@top3: 0.6111 recall@top5: 0.9306 prec@top5: 0.4000 loss_action_cls: 0.0456 loss: 0.0456 2022/08/11 17:32:43 - mmengine - INFO - Epoch(train) [10][180/3842] lr: 2.5978e-03 eta: 0:31:47 time: 0.5166 data_time: 0.0138 memory: 10484 grad_norm: 0.2825 recall@thr=0.5: 0.7140 prec@thr=0.5: 0.8421 recall@top3: 0.7509 prec@top3: 0.8070 recall@top5: 0.9061 prec@top5: 0.6000 loss_action_cls: 0.0540 loss: 0.0540 2022/08/11 17:32:52 - mmengine - INFO - Epoch(train) [10][200/3842] lr: 2.5698e-03 eta: 0:31:37 time: 0.4912 data_time: 0.0188 memory: 10484 grad_norm: 0.2832 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7222 recall@top3: 0.7500 prec@top3: 0.5741 recall@top5: 0.8472 prec@top5: 0.4000 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 17:33:03 - mmengine - INFO - Epoch(train) [10][220/3842] lr: 2.5420e-03 eta: 0:31:26 time: 0.5200 data_time: 0.0134 memory: 10484 grad_norm: 0.2869 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7807 recall@top3: 0.8860 prec@top3: 0.6667 recall@top5: 0.9386 prec@top5: 0.4316 loss_action_cls: 0.0429 loss: 0.0429 2022/08/11 17:33:13 - mmengine - INFO - Epoch(train) [10][240/3842] lr: 2.5143e-03 eta: 0:31:16 time: 0.4899 data_time: 0.0196 memory: 10484 grad_norm: 0.2802 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.9020 recall@top3: 0.9412 prec@top3: 0.8431 recall@top5: 1.0000 prec@top5: 0.5412 loss_action_cls: 0.0525 loss: 0.0525 2022/08/11 17:33:23 - mmengine - INFO - Epoch(train) [10][260/3842] lr: 2.4868e-03 eta: 0:31:05 time: 0.4974 data_time: 0.0154 memory: 10484 grad_norm: 0.2920 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8409 recall@top3: 0.8636 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.4909 loss_action_cls: 0.0462 loss: 0.0462 2022/08/11 17:33:32 - mmengine - INFO - Epoch(train) [10][280/3842] lr: 2.4594e-03 eta: 0:30:55 time: 0.4909 data_time: 0.0182 memory: 10484 grad_norm: 0.2712 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.9524 recall@top3: 0.9226 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5286 loss_action_cls: 0.0489 loss: 0.0489 2022/08/11 17:33:43 - mmengine - INFO - Epoch(train) [10][300/3842] lr: 2.4322e-03 eta: 0:30:44 time: 0.5098 data_time: 0.0153 memory: 10484 grad_norm: 0.2793 recall@thr=0.5: 0.6982 prec@thr=0.5: 0.8596 recall@top3: 0.7474 prec@top3: 0.7368 recall@top5: 0.9211 prec@top5: 0.5684 loss_action_cls: 0.0443 loss: 0.0443 2022/08/11 17:33:52 - mmengine - INFO - Epoch(train) [10][320/3842] lr: 2.4051e-03 eta: 0:30:34 time: 0.4882 data_time: 0.0179 memory: 10484 grad_norm: 0.2708 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9444 recall@top3: 0.9630 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.3778 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 17:34:03 - mmengine - INFO - Epoch(train) [10][340/3842] lr: 2.3782e-03 eta: 0:30:23 time: 0.5143 data_time: 0.0145 memory: 10484 grad_norm: 0.2890 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9687 recall@top3: 0.9583 prec@top3: 0.9375 recall@top5: 1.0000 prec@top5: 0.5875 loss_action_cls: 0.0483 loss: 0.0483 2022/08/11 17:34:13 - mmengine - INFO - Epoch(train) [10][360/3842] lr: 2.3514e-03 eta: 0:30:13 time: 0.4900 data_time: 0.0172 memory: 10484 grad_norm: 0.2698 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8750 recall@top3: 0.8264 prec@top3: 0.6389 recall@top5: 0.9583 prec@top5: 0.4667 loss_action_cls: 0.0472 loss: 0.0472 2022/08/11 17:34:23 - mmengine - INFO - Epoch(train) [10][380/3842] lr: 2.3247e-03 eta: 0:30:03 time: 0.5250 data_time: 0.0154 memory: 10484 grad_norm: 0.2830 recall@thr=0.5: 0.8482 prec@thr=0.5: 0.9518 recall@top3: 0.8658 prec@top3: 0.8947 recall@top5: 0.9868 prec@top5: 0.6316 loss_action_cls: 0.0457 loss: 0.0457 2022/08/11 17:34:33 - mmengine - INFO - Epoch(train) [10][400/3842] lr: 2.2982e-03 eta: 0:29:52 time: 0.4906 data_time: 0.0185 memory: 10484 grad_norm: 0.2722 recall@thr=0.5: 0.8796 prec@thr=0.5: 0.8148 recall@top3: 0.9167 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0400 loss: 0.0400 2022/08/11 17:34:43 - mmengine - INFO - Epoch(train) [10][420/3842] lr: 2.2719e-03 eta: 0:29:42 time: 0.5174 data_time: 0.0142 memory: 10484 grad_norm: 0.2860 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.9114 recall@top3: 0.8902 prec@top3: 0.7424 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 17:34:44 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 17:34:53 - mmengine - INFO - Epoch(train) [10][440/3842] lr: 2.2457e-03 eta: 0:29:31 time: 0.4994 data_time: 0.0177 memory: 10484 grad_norm: 0.2991 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5889 recall@top3: 0.8556 prec@top3: 0.6000 recall@top5: 0.9778 prec@top5: 0.4400 loss_action_cls: 0.0527 loss: 0.0527 2022/08/11 17:35:04 - mmengine - INFO - Epoch(train) [10][460/3842] lr: 2.2196e-03 eta: 0:29:21 time: 0.5343 data_time: 0.0179 memory: 10484 grad_norm: 0.2787 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8500 recall@top3: 0.8722 prec@top3: 0.8222 recall@top5: 0.9333 prec@top5: 0.5333 loss_action_cls: 0.0460 loss: 0.0460 2022/08/11 17:35:14 - mmengine - INFO - Epoch(train) [10][480/3842] lr: 2.1937e-03 eta: 0:29:10 time: 0.5292 data_time: 0.0178 memory: 10484 grad_norm: 0.2935 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8846 recall@top3: 0.9808 prec@top3: 0.6923 recall@top5: 0.9808 prec@top5: 0.4154 loss_action_cls: 0.0465 loss: 0.0465 2022/08/11 17:35:24 - mmengine - INFO - Epoch(train) [10][500/3842] lr: 2.1680e-03 eta: 0:29:00 time: 0.4966 data_time: 0.0169 memory: 10484 grad_norm: 0.2955 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.6522 recall@top3: 0.6812 prec@top3: 0.5072 recall@top5: 0.7609 prec@top5: 0.3478 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 17:35:35 - mmengine - INFO - Epoch(train) [10][520/3842] lr: 2.1423e-03 eta: 0:28:49 time: 0.5161 data_time: 0.0163 memory: 10484 grad_norm: 0.2769 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7857 recall@top3: 0.9345 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0443 loss: 0.0443 2022/08/11 17:35:45 - mmengine - INFO - Epoch(train) [10][540/3842] lr: 2.1169e-03 eta: 0:28:39 time: 0.5335 data_time: 0.0176 memory: 10484 grad_norm: 0.2892 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.6667 recall@top3: 0.8403 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3833 loss_action_cls: 0.0442 loss: 0.0442 2022/08/11 17:35:56 - mmengine - INFO - Epoch(train) [10][560/3842] lr: 2.0916e-03 eta: 0:28:29 time: 0.5160 data_time: 0.0182 memory: 10484 grad_norm: 0.2854 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.9020 recall@top3: 0.9363 prec@top3: 0.7059 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0533 loss: 0.0533 2022/08/11 17:36:06 - mmengine - INFO - Epoch(train) [10][580/3842] lr: 2.0664e-03 eta: 0:28:18 time: 0.5030 data_time: 0.0168 memory: 10484 grad_norm: 0.2835 recall@thr=0.5: 0.9643 prec@thr=0.5: 0.8571 recall@top3: 0.9643 prec@top3: 0.5238 recall@top5: 0.9643 prec@top5: 0.3143 loss_action_cls: 0.0453 loss: 0.0453 2022/08/11 17:36:16 - mmengine - INFO - Epoch(train) [10][600/3842] lr: 2.0414e-03 eta: 0:28:08 time: 0.5101 data_time: 0.0193 memory: 10484 grad_norm: 0.2875 recall@thr=0.5: 0.9688 prec@thr=0.5: 0.7917 recall@top3: 1.0000 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0524 loss: 0.0524 2022/08/11 17:36:26 - mmengine - INFO - Epoch(train) [10][620/3842] lr: 2.0165e-03 eta: 0:27:57 time: 0.4943 data_time: 0.0172 memory: 10484 grad_norm: 0.2724 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8127 recall@top3: 0.8619 prec@top3: 0.6190 recall@top5: 0.9841 prec@top5: 0.4381 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 17:36:36 - mmengine - INFO - Epoch(train) [10][640/3842] lr: 1.9918e-03 eta: 0:27:47 time: 0.5189 data_time: 0.0155 memory: 10484 grad_norm: 0.2835 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6474 recall@top3: 0.7949 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4308 loss_action_cls: 0.0452 loss: 0.0452 2022/08/11 17:36:46 - mmengine - INFO - Epoch(train) [10][660/3842] lr: 1.9672e-03 eta: 0:27:36 time: 0.4956 data_time: 0.0181 memory: 10484 grad_norm: 0.2722 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7000 recall@top3: 0.7583 prec@top3: 0.7000 recall@top5: 0.9000 prec@top5: 0.5100 loss_action_cls: 0.0467 loss: 0.0467 2022/08/11 17:36:57 - mmengine - INFO - Epoch(train) [10][680/3842] lr: 1.9428e-03 eta: 0:27:26 time: 0.5177 data_time: 0.0161 memory: 10484 grad_norm: 0.2746 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7976 recall@top3: 0.7619 prec@top3: 0.5952 recall@top5: 0.9762 prec@top5: 0.4714 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 17:37:06 - mmengine - INFO - Epoch(train) [10][700/3842] lr: 1.9185e-03 eta: 0:27:16 time: 0.4908 data_time: 0.0174 memory: 10484 grad_norm: 0.2822 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7821 recall@top3: 0.8205 prec@top3: 0.7179 recall@top5: 0.9487 prec@top5: 0.5077 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 17:37:17 - mmengine - INFO - Epoch(train) [10][720/3842] lr: 1.8943e-03 eta: 0:27:05 time: 0.5137 data_time: 0.0146 memory: 10484 grad_norm: 0.2788 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.9302 recall@top3: 0.8719 prec@top3: 0.8958 recall@top5: 0.9125 prec@top5: 0.5750 loss_action_cls: 0.0430 loss: 0.0430 2022/08/11 17:37:27 - mmengine - INFO - Epoch(train) [10][740/3842] lr: 1.8704e-03 eta: 0:26:55 time: 0.5014 data_time: 0.0185 memory: 10484 grad_norm: 0.2800 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8214 recall@top3: 0.9643 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0506 loss: 0.0506 2022/08/11 17:37:37 - mmengine - INFO - Epoch(train) [10][760/3842] lr: 1.8465e-03 eta: 0:26:44 time: 0.5168 data_time: 0.0197 memory: 10484 grad_norm: 0.2753 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7381 recall@top3: 0.7619 prec@top3: 0.6190 recall@top5: 0.8214 prec@top5: 0.4143 loss_action_cls: 0.0464 loss: 0.0464 2022/08/11 17:37:47 - mmengine - INFO - Epoch(train) [10][780/3842] lr: 1.8228e-03 eta: 0:26:34 time: 0.4940 data_time: 0.0177 memory: 10484 grad_norm: 0.2877 recall@thr=0.5: 0.8491 prec@thr=0.5: 0.9211 recall@top3: 0.8702 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0456 loss: 0.0456 2022/08/11 17:37:57 - mmengine - INFO - Epoch(train) [10][800/3842] lr: 1.7993e-03 eta: 0:26:23 time: 0.4937 data_time: 0.0155 memory: 10484 grad_norm: 0.2834 recall@thr=0.5: 0.7380 prec@thr=0.5: 0.7731 recall@top3: 0.7444 prec@top3: 0.7778 recall@top5: 0.9611 prec@top5: 0.6333 loss_action_cls: 0.0547 loss: 0.0547 2022/08/11 17:38:07 - mmengine - INFO - Epoch(train) [10][820/3842] lr: 1.7759e-03 eta: 0:26:13 time: 0.5067 data_time: 0.0167 memory: 10484 grad_norm: 0.2798 recall@thr=0.5: 0.7897 prec@thr=0.5: 0.8690 recall@top3: 0.7976 prec@top3: 0.8254 recall@top5: 0.9048 prec@top5: 0.5714 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 17:38:17 - mmengine - INFO - Epoch(train) [10][840/3842] lr: 1.7527e-03 eta: 0:26:02 time: 0.5189 data_time: 0.0165 memory: 10484 grad_norm: 0.2885 recall@thr=0.5: 0.8292 prec@thr=0.5: 0.9198 recall@top3: 0.8583 prec@top3: 0.7708 recall@top5: 0.9458 prec@top5: 0.5375 loss_action_cls: 0.0502 loss: 0.0502 2022/08/11 17:38:28 - mmengine - INFO - Epoch(train) [10][860/3842] lr: 1.7296e-03 eta: 0:25:52 time: 0.5375 data_time: 0.0190 memory: 10484 grad_norm: 0.2828 recall@thr=0.5: 0.7380 prec@thr=0.5: 0.9028 recall@top3: 0.8444 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.5444 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 17:38:40 - mmengine - INFO - Epoch(train) [10][880/3842] lr: 1.7067e-03 eta: 0:25:42 time: 0.5885 data_time: 0.0181 memory: 10484 grad_norm: 0.2856 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8917 recall@top3: 0.9000 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0430 loss: 0.0430 2022/08/11 17:38:50 - mmengine - INFO - Epoch(train) [10][900/3842] lr: 1.6839e-03 eta: 0:25:31 time: 0.5183 data_time: 0.0193 memory: 10484 grad_norm: 0.2840 recall@thr=0.5: 0.8289 prec@thr=0.5: 0.9123 recall@top3: 0.8377 prec@top3: 0.8421 recall@top5: 1.0000 prec@top5: 0.6105 loss_action_cls: 0.0428 loss: 0.0428 2022/08/11 17:39:01 - mmengine - INFO - Epoch(train) [10][920/3842] lr: 1.6612e-03 eta: 0:25:21 time: 0.5236 data_time: 0.0183 memory: 10484 grad_norm: 0.2766 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9000 recall@top3: 0.8583 prec@top3: 0.8000 recall@top5: 0.9583 prec@top5: 0.5300 loss_action_cls: 0.0459 loss: 0.0459 2022/08/11 17:39:11 - mmengine - INFO - Epoch(train) [10][940/3842] lr: 1.6387e-03 eta: 0:25:11 time: 0.5064 data_time: 0.0162 memory: 10484 grad_norm: 0.2846 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7262 recall@top3: 0.8690 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 17:39:21 - mmengine - INFO - Epoch(train) [10][960/3842] lr: 1.6164e-03 eta: 0:25:00 time: 0.5178 data_time: 0.0185 memory: 10484 grad_norm: 0.2750 recall@thr=0.5: 0.8854 prec@thr=0.5: 0.8594 recall@top3: 0.9271 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0432 loss: 0.0432 2022/08/11 17:39:31 - mmengine - INFO - Epoch(train) [10][980/3842] lr: 1.5942e-03 eta: 0:24:50 time: 0.4925 data_time: 0.0187 memory: 10484 grad_norm: 0.2644 recall@thr=0.5: 0.7674 prec@thr=0.5: 0.9375 recall@top3: 0.8715 prec@top3: 0.6806 recall@top5: 0.9479 prec@top5: 0.4583 loss_action_cls: 0.0430 loss: 0.0430 2022/08/11 17:39:41 - mmengine - INFO - Epoch(train) [10][1000/3842] lr: 1.5722e-03 eta: 0:24:39 time: 0.5121 data_time: 0.0167 memory: 10484 grad_norm: 0.2843 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9762 recall@top3: 0.8968 prec@top3: 0.7937 recall@top5: 0.9603 prec@top5: 0.5238 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 17:39:51 - mmengine - INFO - Epoch(train) [10][1020/3842] lr: 1.5503e-03 eta: 0:24:29 time: 0.4887 data_time: 0.0185 memory: 10484 grad_norm: 0.2793 recall@thr=0.5: 0.8380 prec@thr=0.5: 0.8102 recall@top3: 0.8241 prec@top3: 0.7593 recall@top5: 0.9213 prec@top5: 0.5222 loss_action_cls: 0.0523 loss: 0.0523 2022/08/11 17:40:01 - mmengine - INFO - Epoch(train) [10][1040/3842] lr: 1.5286e-03 eta: 0:24:18 time: 0.5113 data_time: 0.0145 memory: 10484 grad_norm: 0.2744 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8556 recall@top3: 0.8444 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0490 loss: 0.0490 2022/08/11 17:40:11 - mmengine - INFO - Epoch(train) [10][1060/3842] lr: 1.5070e-03 eta: 0:24:08 time: 0.4913 data_time: 0.0198 memory: 10484 grad_norm: 0.2851 recall@thr=0.5: 0.8796 prec@thr=0.5: 0.9074 recall@top3: 0.8287 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.6222 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 17:40:21 - mmengine - INFO - Epoch(train) [10][1080/3842] lr: 1.4855e-03 eta: 0:23:57 time: 0.5152 data_time: 0.0154 memory: 10484 grad_norm: 0.2893 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7901 recall@top3: 0.7870 prec@top3: 0.7160 recall@top5: 0.9074 prec@top5: 0.5185 loss_action_cls: 0.0465 loss: 0.0465 2022/08/11 17:40:31 - mmengine - INFO - Epoch(train) [10][1100/3842] lr: 1.4642e-03 eta: 0:23:47 time: 0.4896 data_time: 0.0166 memory: 10484 grad_norm: 0.2798 recall@thr=0.5: 0.6905 prec@thr=0.5: 1.0000 recall@top3: 0.8452 prec@top3: 0.6667 recall@top5: 0.9008 prec@top5: 0.4381 loss_action_cls: 0.0539 loss: 0.0539 2022/08/11 17:40:42 - mmengine - INFO - Epoch(train) [10][1120/3842] lr: 1.4431e-03 eta: 0:23:37 time: 0.5224 data_time: 0.0152 memory: 10484 grad_norm: 0.2749 recall@thr=0.5: 0.8274 prec@thr=0.5: 0.8214 recall@top3: 0.8690 prec@top3: 0.7143 recall@top5: 0.9821 prec@top5: 0.4857 loss_action_cls: 0.0465 loss: 0.0465 2022/08/11 17:40:51 - mmengine - INFO - Epoch(train) [10][1140/3842] lr: 1.4221e-03 eta: 0:23:26 time: 0.4924 data_time: 0.0181 memory: 10484 grad_norm: 0.2868 recall@thr=0.5: 0.8802 prec@thr=0.5: 0.9792 recall@top3: 0.9167 prec@top3: 0.8542 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0465 loss: 0.0465 2022/08/11 17:41:02 - mmengine - INFO - Epoch(train) [10][1160/3842] lr: 1.4013e-03 eta: 0:23:16 time: 0.5153 data_time: 0.0161 memory: 10484 grad_norm: 0.2806 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6515 recall@top3: 0.9015 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0468 loss: 0.0468 2022/08/11 17:41:12 - mmengine - INFO - Epoch(train) [10][1180/3842] lr: 1.3806e-03 eta: 0:23:05 time: 0.4926 data_time: 0.0184 memory: 10484 grad_norm: 0.2912 recall@thr=0.5: 0.7683 prec@thr=0.5: 0.8413 recall@top3: 0.7984 prec@top3: 0.7460 recall@top5: 0.9603 prec@top5: 0.5619 loss_action_cls: 0.0410 loss: 0.0410 2022/08/11 17:41:22 - mmengine - INFO - Epoch(train) [10][1200/3842] lr: 1.3601e-03 eta: 0:22:55 time: 0.5156 data_time: 0.0177 memory: 10484 grad_norm: 0.2788 recall@thr=0.5: 0.8812 prec@thr=0.5: 0.8913 recall@top3: 0.9254 prec@top3: 0.8116 recall@top5: 1.0000 prec@top5: 0.5478 loss_action_cls: 0.0474 loss: 0.0474 2022/08/11 17:41:32 - mmengine - INFO - Epoch(train) [10][1220/3842] lr: 1.3397e-03 eta: 0:22:44 time: 0.4937 data_time: 0.0181 memory: 10484 grad_norm: 0.2863 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8728 recall@top3: 0.8377 prec@top3: 0.8070 recall@top5: 0.9298 prec@top5: 0.5684 loss_action_cls: 0.0437 loss: 0.0437 2022/08/11 17:41:42 - mmengine - INFO - Epoch(train) [10][1240/3842] lr: 1.3194e-03 eta: 0:22:34 time: 0.5175 data_time: 0.0176 memory: 10484 grad_norm: 0.2863 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7308 recall@top3: 0.7949 prec@top3: 0.4615 recall@top5: 0.8846 prec@top5: 0.3231 loss_action_cls: 0.0479 loss: 0.0479 2022/08/11 17:41:54 - mmengine - INFO - Epoch(train) [10][1260/3842] lr: 1.2994e-03 eta: 0:22:24 time: 0.5968 data_time: 0.0221 memory: 10484 grad_norm: 0.2885 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.8222 recall@top3: 0.8000 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.5467 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 17:42:04 - mmengine - INFO - Epoch(train) [10][1280/3842] lr: 1.2794e-03 eta: 0:22:13 time: 0.4911 data_time: 0.0184 memory: 10484 grad_norm: 0.2839 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8167 recall@top3: 0.8500 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5333 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 17:42:14 - mmengine - INFO - Epoch(train) [10][1300/3842] lr: 1.2597e-03 eta: 0:22:03 time: 0.5195 data_time: 0.0190 memory: 10484 grad_norm: 0.2905 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7917 recall@top3: 0.8750 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 17:42:25 - mmengine - INFO - Epoch(train) [10][1320/3842] lr: 1.2400e-03 eta: 0:21:52 time: 0.5344 data_time: 0.0167 memory: 10484 grad_norm: 0.2717 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.7500 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0432 loss: 0.0432 2022/08/11 17:42:35 - mmengine - INFO - Epoch(train) [10][1340/3842] lr: 1.2206e-03 eta: 0:21:42 time: 0.4954 data_time: 0.0226 memory: 10484 grad_norm: 0.2807 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8333 recall@top3: 0.8409 prec@top3: 0.7424 recall@top5: 0.9394 prec@top5: 0.5182 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 17:42:45 - mmengine - INFO - Epoch(train) [10][1360/3842] lr: 1.2012e-03 eta: 0:21:32 time: 0.5170 data_time: 0.0151 memory: 10484 grad_norm: 0.2760 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8148 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0445 loss: 0.0445 2022/08/11 17:42:55 - mmengine - INFO - Epoch(train) [10][1380/3842] lr: 1.1821e-03 eta: 0:21:21 time: 0.4902 data_time: 0.0174 memory: 10484 grad_norm: 0.2820 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6500 recall@top3: 0.8833 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 17:43:05 - mmengine - INFO - Epoch(train) [10][1400/3842] lr: 1.1630e-03 eta: 0:21:11 time: 0.5204 data_time: 0.0150 memory: 10484 grad_norm: 0.2921 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.8333 recall@top3: 0.7255 prec@top3: 0.6078 recall@top5: 0.8333 prec@top5: 0.4235 loss_action_cls: 0.0495 loss: 0.0495 2022/08/11 17:43:15 - mmengine - INFO - Epoch(train) [10][1420/3842] lr: 1.1442e-03 eta: 0:21:00 time: 0.4889 data_time: 0.0166 memory: 10484 grad_norm: 0.2773 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.9375 recall@top3: 0.8646 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.4125 loss_action_cls: 0.0448 loss: 0.0448 2022/08/11 17:43:16 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 17:43:25 - mmengine - INFO - Epoch(train) [10][1440/3842] lr: 1.1255e-03 eta: 0:20:50 time: 0.4956 data_time: 0.0157 memory: 10484 grad_norm: 0.2905 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8039 recall@top3: 0.9216 prec@top3: 0.8431 recall@top5: 1.0000 prec@top5: 0.5647 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 17:43:35 - mmengine - INFO - Epoch(train) [10][1460/3842] lr: 1.1069e-03 eta: 0:20:39 time: 0.4893 data_time: 0.0168 memory: 10484 grad_norm: 0.2831 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9500 recall@top3: 0.8000 prec@top3: 0.7667 recall@top5: 0.8917 prec@top5: 0.5600 loss_action_cls: 0.0410 loss: 0.0410 2022/08/11 17:43:45 - mmengine - INFO - Epoch(train) [10][1480/3842] lr: 1.0885e-03 eta: 0:20:29 time: 0.5146 data_time: 0.0154 memory: 10484 grad_norm: 0.2863 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.9333 recall@top3: 0.8889 prec@top3: 0.7778 recall@top5: 0.9778 prec@top5: 0.5333 loss_action_cls: 0.0487 loss: 0.0487 2022/08/11 17:43:55 - mmengine - INFO - Epoch(train) [10][1500/3842] lr: 1.0702e-03 eta: 0:20:18 time: 0.4921 data_time: 0.0199 memory: 10484 grad_norm: 0.2750 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.6061 recall@top3: 0.8788 prec@top3: 0.5758 recall@top5: 1.0000 prec@top5: 0.3818 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 17:44:06 - mmengine - INFO - Epoch(train) [10][1520/3842] lr: 1.0521e-03 eta: 0:20:08 time: 0.5316 data_time: 0.0151 memory: 10484 grad_norm: 0.2758 recall@thr=0.5: 0.8008 prec@thr=0.5: 0.9375 recall@top3: 0.8475 prec@top3: 0.8667 recall@top5: 0.9633 prec@top5: 0.6100 loss_action_cls: 0.0433 loss: 0.0433 2022/08/11 17:44:16 - mmengine - INFO - Epoch(train) [10][1540/3842] lr: 1.0342e-03 eta: 0:19:58 time: 0.5167 data_time: 0.0209 memory: 10484 grad_norm: 0.2738 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8889 recall@top3: 0.8981 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 17:44:27 - mmengine - INFO - Epoch(train) [10][1560/3842] lr: 1.0164e-03 eta: 0:19:47 time: 0.5361 data_time: 0.0204 memory: 10484 grad_norm: 0.2833 recall@thr=0.5: 0.8736 prec@thr=0.5: 0.9253 recall@top3: 0.9023 prec@top3: 0.8391 recall@top5: 1.0000 prec@top5: 0.5724 loss_action_cls: 0.0459 loss: 0.0459 2022/08/11 17:44:37 - mmengine - INFO - Epoch(train) [10][1580/3842] lr: 9.9871e-04 eta: 0:19:37 time: 0.4877 data_time: 0.0169 memory: 10484 grad_norm: 0.2867 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8542 recall@top3: 0.9167 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0511 loss: 0.0511 2022/08/11 17:44:47 - mmengine - INFO - Epoch(train) [10][1600/3842] lr: 9.8121e-04 eta: 0:19:26 time: 0.5179 data_time: 0.0148 memory: 10484 grad_norm: 0.2871 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8226 recall@top3: 0.8376 prec@top3: 0.7634 recall@top5: 0.9522 prec@top5: 0.5419 loss_action_cls: 0.0457 loss: 0.0457 2022/08/11 17:44:57 - mmengine - INFO - Epoch(train) [10][1620/3842] lr: 9.6386e-04 eta: 0:19:16 time: 0.4911 data_time: 0.0183 memory: 10484 grad_norm: 0.2914 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7765 recall@top3: 0.7879 prec@top3: 0.7273 recall@top5: 0.8712 prec@top5: 0.4909 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 17:45:07 - mmengine - INFO - Epoch(train) [10][1640/3842] lr: 9.4667e-04 eta: 0:19:06 time: 0.5161 data_time: 0.0150 memory: 10484 grad_norm: 0.2833 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.6588 recall@top3: 0.9123 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0483 loss: 0.0483 2022/08/11 17:45:17 - mmengine - INFO - Epoch(train) [10][1660/3842] lr: 9.2963e-04 eta: 0:18:55 time: 0.5184 data_time: 0.0179 memory: 10484 grad_norm: 0.2855 recall@thr=0.5: 0.9643 prec@thr=0.5: 0.9405 recall@top3: 0.9643 prec@top3: 0.8571 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0425 loss: 0.0425 2022/08/11 17:45:29 - mmengine - INFO - Epoch(train) [10][1680/3842] lr: 9.1275e-04 eta: 0:18:45 time: 0.5997 data_time: 0.0172 memory: 10484 grad_norm: 0.2729 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.9737 recall@top3: 0.8465 prec@top3: 0.8596 recall@top5: 0.9474 prec@top5: 0.5895 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 17:45:39 - mmengine - INFO - Epoch(train) [10][1700/3842] lr: 8.9601e-04 eta: 0:18:34 time: 0.4918 data_time: 0.0203 memory: 10484 grad_norm: 0.2720 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.8500 recall@top3: 0.8250 prec@top3: 0.8167 recall@top5: 0.9333 prec@top5: 0.5600 loss_action_cls: 0.0521 loss: 0.0521 2022/08/11 17:45:51 - mmengine - INFO - Epoch(train) [10][1720/3842] lr: 8.7943e-04 eta: 0:18:24 time: 0.6028 data_time: 0.0178 memory: 10484 grad_norm: 0.2893 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.6569 recall@top3: 0.8431 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 17:46:02 - mmengine - INFO - Epoch(train) [10][1740/3842] lr: 8.6300e-04 eta: 0:18:14 time: 0.5147 data_time: 0.0161 memory: 10484 grad_norm: 0.2880 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.9315 recall@top3: 0.8074 prec@top3: 0.7778 recall@top5: 0.9630 prec@top5: 0.5889 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 17:46:13 - mmengine - INFO - Epoch(train) [10][1760/3842] lr: 8.4673e-04 eta: 0:18:03 time: 0.5798 data_time: 0.0207 memory: 10484 grad_norm: 0.2823 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7639 recall@top3: 0.8125 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 17:46:24 - mmengine - INFO - Epoch(train) [10][1780/3842] lr: 8.3061e-04 eta: 0:17:53 time: 0.5191 data_time: 0.0173 memory: 10484 grad_norm: 0.2678 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.9028 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 0.9306 prec@top5: 0.5333 loss_action_cls: 0.0399 loss: 0.0399 2022/08/11 17:46:33 - mmengine - INFO - Epoch(train) [10][1800/3842] lr: 8.1464e-04 eta: 0:17:42 time: 0.4886 data_time: 0.0172 memory: 10484 grad_norm: 0.2701 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.9352 recall@top3: 0.9167 prec@top3: 0.7222 recall@top5: 0.9306 prec@top5: 0.4444 loss_action_cls: 0.0547 loss: 0.0547 2022/08/11 17:46:44 - mmengine - INFO - Epoch(train) [10][1820/3842] lr: 7.9882e-04 eta: 0:17:32 time: 0.5305 data_time: 0.0152 memory: 10484 grad_norm: 0.2792 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8421 recall@top3: 0.8246 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.5895 loss_action_cls: 0.0482 loss: 0.0482 2022/08/11 17:46:54 - mmengine - INFO - Epoch(train) [10][1840/3842] lr: 7.8316e-04 eta: 0:17:22 time: 0.4957 data_time: 0.0222 memory: 10484 grad_norm: 0.2918 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.8792 recall@top3: 0.8083 prec@top3: 0.7667 recall@top5: 0.9458 prec@top5: 0.5500 loss_action_cls: 0.0525 loss: 0.0525 2022/08/11 17:47:04 - mmengine - INFO - Epoch(train) [10][1860/3842] lr: 7.6765e-04 eta: 0:17:11 time: 0.5230 data_time: 0.0147 memory: 10484 grad_norm: 0.2771 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8214 recall@top3: 0.8333 prec@top3: 0.6905 recall@top5: 0.8929 prec@top5: 0.4571 loss_action_cls: 0.0427 loss: 0.0427 2022/08/11 17:47:14 - mmengine - INFO - Epoch(train) [10][1880/3842] lr: 7.5230e-04 eta: 0:17:01 time: 0.4983 data_time: 0.0179 memory: 10484 grad_norm: 0.2763 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8469 recall@top3: 0.7292 prec@top3: 0.7917 recall@top5: 0.9167 prec@top5: 0.5875 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 17:47:25 - mmengine - INFO - Epoch(train) [10][1900/3842] lr: 7.3710e-04 eta: 0:16:50 time: 0.5198 data_time: 0.0172 memory: 10484 grad_norm: 0.2904 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.8500 recall@top3: 0.8583 prec@top3: 0.8167 recall@top5: 0.9500 prec@top5: 0.5400 loss_action_cls: 0.0497 loss: 0.0497 2022/08/11 17:47:35 - mmengine - INFO - Epoch(train) [10][1920/3842] lr: 7.2205e-04 eta: 0:16:40 time: 0.4914 data_time: 0.0170 memory: 10484 grad_norm: 0.2772 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8111 recall@top3: 0.8556 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4133 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 17:47:45 - mmengine - INFO - Epoch(train) [10][1940/3842] lr: 7.0715e-04 eta: 0:16:30 time: 0.5174 data_time: 0.0174 memory: 10484 grad_norm: 0.2840 recall@thr=0.5: 0.7227 prec@thr=0.5: 0.7348 recall@top3: 0.7318 prec@top3: 0.6515 recall@top5: 0.9417 prec@top5: 0.5182 loss_action_cls: 0.0518 loss: 0.0518 2022/08/11 17:47:55 - mmengine - INFO - Epoch(train) [10][1960/3842] lr: 6.9241e-04 eta: 0:16:19 time: 0.4937 data_time: 0.0200 memory: 10484 grad_norm: 0.2722 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.9000 recall@top3: 0.9778 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0510 loss: 0.0510 2022/08/11 17:48:05 - mmengine - INFO - Epoch(train) [10][1980/3842] lr: 6.7783e-04 eta: 0:16:09 time: 0.5259 data_time: 0.0169 memory: 10484 grad_norm: 0.2840 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9667 recall@top3: 0.9000 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0520 loss: 0.0520 2022/08/11 17:48:15 - mmengine - INFO - Epoch(train) [10][2000/3842] lr: 6.6340e-04 eta: 0:15:58 time: 0.4905 data_time: 0.0168 memory: 10484 grad_norm: 0.2805 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.9444 recall@top3: 0.8611 prec@top3: 0.5741 recall@top5: 0.9491 prec@top5: 0.4000 loss_action_cls: 0.0463 loss: 0.0463 2022/08/11 17:48:27 - mmengine - INFO - Epoch(train) [10][2020/3842] lr: 6.4912e-04 eta: 0:15:48 time: 0.5733 data_time: 0.0701 memory: 10484 grad_norm: 0.3010 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8824 recall@top3: 0.9608 prec@top3: 0.7255 recall@top5: 0.9804 prec@top5: 0.4471 loss_action_cls: 0.0462 loss: 0.0462 2022/08/11 17:48:37 - mmengine - INFO - Epoch(train) [10][2040/3842] lr: 6.3499e-04 eta: 0:15:37 time: 0.5190 data_time: 0.0155 memory: 10484 grad_norm: 0.2850 recall@thr=0.5: 0.8389 prec@thr=0.5: 0.9389 recall@top3: 0.9111 prec@top3: 0.8444 recall@top5: 0.9611 prec@top5: 0.5467 loss_action_cls: 0.0456 loss: 0.0456 2022/08/11 17:48:50 - mmengine - INFO - Epoch(train) [10][2060/3842] lr: 6.2102e-04 eta: 0:15:27 time: 0.6387 data_time: 0.1337 memory: 10484 grad_norm: 0.2764 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8073 recall@top3: 0.7396 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5875 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 17:49:00 - mmengine - INFO - Epoch(train) [10][2080/3842] lr: 6.0721e-04 eta: 0:15:17 time: 0.5192 data_time: 0.0165 memory: 10484 grad_norm: 0.2757 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.7804 recall@top3: 0.8137 prec@top3: 0.7059 recall@top5: 0.9706 prec@top5: 0.5294 loss_action_cls: 0.0420 loss: 0.0420 2022/08/11 17:49:11 - mmengine - INFO - Epoch(train) [10][2100/3842] lr: 5.9354e-04 eta: 0:15:06 time: 0.5411 data_time: 0.0180 memory: 10484 grad_norm: 0.2861 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8788 recall@top3: 0.9394 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 17:49:21 - mmengine - INFO - Epoch(train) [10][2120/3842] lr: 5.8003e-04 eta: 0:14:56 time: 0.4989 data_time: 0.0176 memory: 10484 grad_norm: 0.2833 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8667 recall@top3: 0.8056 prec@top3: 0.6889 recall@top5: 0.9278 prec@top5: 0.4933 loss_action_cls: 0.0421 loss: 0.0421 2022/08/11 17:49:31 - mmengine - INFO - Epoch(train) [10][2140/3842] lr: 5.6668e-04 eta: 0:14:46 time: 0.5150 data_time: 0.0178 memory: 10484 grad_norm: 0.2821 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8733 recall@top3: 0.7875 prec@top3: 0.7000 recall@top5: 0.8875 prec@top5: 0.4900 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 17:49:41 - mmengine - INFO - Epoch(train) [10][2160/3842] lr: 5.5348e-04 eta: 0:14:35 time: 0.4925 data_time: 0.0161 memory: 10484 grad_norm: 0.2884 recall@thr=0.5: 0.8556 prec@thr=0.5: 0.7556 recall@top3: 0.9222 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0532 loss: 0.0532 2022/08/11 17:49:51 - mmengine - INFO - Epoch(train) [10][2180/3842] lr: 5.4044e-04 eta: 0:14:25 time: 0.5170 data_time: 0.0174 memory: 10484 grad_norm: 0.2958 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.5962 recall@top3: 0.6154 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.5538 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 17:50:02 - mmengine - INFO - Epoch(train) [10][2200/3842] lr: 5.2755e-04 eta: 0:14:14 time: 0.5227 data_time: 0.0184 memory: 10484 grad_norm: 0.2748 recall@thr=0.5: 0.9111 prec@thr=0.5: 1.0000 recall@top3: 0.9778 prec@top3: 0.8222 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0399 loss: 0.0399 2022/08/11 17:50:12 - mmengine - INFO - Epoch(train) [10][2220/3842] lr: 5.1481e-04 eta: 0:14:04 time: 0.4936 data_time: 0.0189 memory: 10484 grad_norm: 0.2806 recall@thr=0.5: 0.9035 prec@thr=0.5: 0.9123 recall@top3: 0.9737 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0419 loss: 0.0419 2022/08/11 17:50:22 - mmengine - INFO - Epoch(train) [10][2240/3842] lr: 5.0223e-04 eta: 0:13:53 time: 0.5180 data_time: 0.0159 memory: 10484 grad_norm: 0.2834 recall@thr=0.5: 0.8533 prec@thr=0.5: 0.9900 recall@top3: 0.8900 prec@top3: 0.8667 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0458 loss: 0.0458 2022/08/11 17:50:32 - mmengine - INFO - Epoch(train) [10][2260/3842] lr: 4.8980e-04 eta: 0:13:43 time: 0.4925 data_time: 0.0193 memory: 10484 grad_norm: 0.2841 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7857 recall@top3: 0.8333 prec@top3: 0.5952 recall@top5: 0.9048 prec@top5: 0.4000 loss_action_cls: 0.0494 loss: 0.0494 2022/08/11 17:50:42 - mmengine - INFO - Epoch(train) [10][2280/3842] lr: 4.7753e-04 eta: 0:13:33 time: 0.5139 data_time: 0.0139 memory: 10484 grad_norm: 0.2898 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7167 recall@top3: 0.6917 prec@top3: 0.6333 recall@top5: 0.8000 prec@top5: 0.4400 loss_action_cls: 0.0439 loss: 0.0439 2022/08/11 17:50:52 - mmengine - INFO - Epoch(train) [10][2300/3842] lr: 4.6541e-04 eta: 0:13:22 time: 0.4962 data_time: 0.0178 memory: 10484 grad_norm: 0.2863 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7986 recall@top3: 0.7882 prec@top3: 0.7222 recall@top5: 0.9062 prec@top5: 0.5083 loss_action_cls: 0.0399 loss: 0.0399 2022/08/11 17:51:02 - mmengine - INFO - Epoch(train) [10][2320/3842] lr: 4.5345e-04 eta: 0:13:12 time: 0.5075 data_time: 0.0144 memory: 10484 grad_norm: 0.2938 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8417 recall@top3: 0.8917 prec@top3: 0.7500 recall@top5: 0.8917 prec@top5: 0.4500 loss_action_cls: 0.0401 loss: 0.0401 2022/08/11 17:51:12 - mmengine - INFO - Epoch(train) [10][2340/3842] lr: 4.4164e-04 eta: 0:13:01 time: 0.4920 data_time: 0.0186 memory: 10484 grad_norm: 0.2863 recall@thr=0.5: 0.7950 prec@thr=0.5: 0.9625 recall@top3: 0.8675 prec@top3: 0.9333 recall@top5: 0.9900 prec@top5: 0.6500 loss_action_cls: 0.0374 loss: 0.0374 2022/08/11 17:51:23 - mmengine - INFO - Epoch(train) [10][2360/3842] lr: 4.2999e-04 eta: 0:12:51 time: 0.5207 data_time: 0.0144 memory: 10484 grad_norm: 0.2864 recall@thr=0.5: 0.7923 prec@thr=0.5: 0.8051 recall@top3: 0.8154 prec@top3: 0.6410 recall@top5: 0.9333 prec@top5: 0.4615 loss_action_cls: 0.0539 loss: 0.0539 2022/08/11 17:51:33 - mmengine - INFO - Epoch(train) [10][2380/3842] lr: 4.1849e-04 eta: 0:12:40 time: 0.4997 data_time: 0.0216 memory: 10484 grad_norm: 0.2877 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8333 recall@top3: 0.8571 prec@top3: 0.7143 recall@top5: 0.9643 prec@top5: 0.5000 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 17:51:43 - mmengine - INFO - Epoch(train) [10][2400/3842] lr: 4.0715e-04 eta: 0:12:30 time: 0.5099 data_time: 0.0151 memory: 10484 grad_norm: 0.2792 recall@thr=0.5: 0.6287 prec@thr=0.5: 0.8472 recall@top3: 0.7954 prec@top3: 0.8333 recall@top5: 0.9778 prec@top5: 0.6222 loss_action_cls: 0.0462 loss: 0.0462 2022/08/11 17:51:53 - mmengine - INFO - Epoch(train) [10][2420/3842] lr: 3.9596e-04 eta: 0:12:20 time: 0.4906 data_time: 0.0170 memory: 10484 grad_norm: 0.2886 recall@thr=0.5: 0.8568 prec@thr=0.5: 0.9356 recall@top3: 0.9023 prec@top3: 0.9242 recall@top5: 0.9795 prec@top5: 0.6182 loss_action_cls: 0.0466 loss: 0.0466 2022/08/11 17:51:54 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 17:52:03 - mmengine - INFO - Epoch(train) [10][2440/3842] lr: 3.8493e-04 eta: 0:12:09 time: 0.5158 data_time: 0.0153 memory: 10484 grad_norm: 0.2808 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7917 recall@top3: 0.7778 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 17:52:13 - mmengine - INFO - Epoch(train) [10][2460/3842] lr: 3.7405e-04 eta: 0:11:59 time: 0.4968 data_time: 0.0175 memory: 10484 grad_norm: 0.2908 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9167 recall@top3: 0.9250 prec@top3: 0.8333 recall@top5: 0.9833 prec@top5: 0.5500 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 17:52:23 - mmengine - INFO - Epoch(train) [10][2480/3842] lr: 3.6333e-04 eta: 0:11:48 time: 0.5123 data_time: 0.0153 memory: 10484 grad_norm: 0.2945 recall@thr=0.5: 0.8833 prec@thr=0.5: 0.9579 recall@top3: 0.8833 prec@top3: 0.9649 recall@top5: 0.9553 prec@top5: 0.6316 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 17:52:33 - mmengine - INFO - Epoch(train) [10][2500/3842] lr: 3.5276e-04 eta: 0:11:38 time: 0.5176 data_time: 0.0168 memory: 10484 grad_norm: 0.2802 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.9352 recall@top3: 0.8287 prec@top3: 0.8148 recall@top5: 0.9491 prec@top5: 0.5778 loss_action_cls: 0.0449 loss: 0.0449 2022/08/11 17:52:44 - mmengine - INFO - Epoch(train) [10][2520/3842] lr: 3.4235e-04 eta: 0:11:28 time: 0.5199 data_time: 0.0199 memory: 10484 grad_norm: 0.2850 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8889 recall@top3: 0.8889 prec@top3: 0.8889 recall@top5: 0.9444 prec@top5: 0.5556 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 17:52:54 - mmengine - INFO - Epoch(train) [10][2540/3842] lr: 3.3209e-04 eta: 0:11:17 time: 0.5222 data_time: 0.0176 memory: 10484 grad_norm: 0.2770 recall@thr=0.5: 0.9125 prec@thr=0.5: 0.9167 recall@top3: 0.8750 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5900 loss_action_cls: 0.0467 loss: 0.0467 2022/08/11 17:53:04 - mmengine - INFO - Epoch(train) [10][2560/3842] lr: 3.2199e-04 eta: 0:11:07 time: 0.4938 data_time: 0.0190 memory: 10484 grad_norm: 0.2713 recall@thr=0.5: 0.8802 prec@thr=0.5: 0.8833 recall@top3: 0.8542 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0494 loss: 0.0494 2022/08/11 17:53:14 - mmengine - INFO - Epoch(train) [10][2580/3842] lr: 3.1204e-04 eta: 0:10:56 time: 0.5123 data_time: 0.0166 memory: 10484 grad_norm: 0.2926 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6889 recall@top3: 0.8889 prec@top3: 0.6222 recall@top5: 0.9667 prec@top5: 0.4133 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 17:53:24 - mmengine - INFO - Epoch(train) [10][2600/3842] lr: 3.0225e-04 eta: 0:10:46 time: 0.4915 data_time: 0.0175 memory: 10484 grad_norm: 0.2930 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.9231 recall@top3: 0.8333 prec@top3: 0.7949 recall@top5: 1.0000 prec@top5: 0.5846 loss_action_cls: 0.0428 loss: 0.0428 2022/08/11 17:53:34 - mmengine - INFO - Epoch(train) [10][2620/3842] lr: 2.9261e-04 eta: 0:10:35 time: 0.5079 data_time: 0.0197 memory: 10484 grad_norm: 0.2732 recall@thr=0.5: 0.7323 prec@thr=0.5: 0.8437 recall@top3: 0.8344 prec@top3: 0.7083 recall@top5: 0.9031 prec@top5: 0.4875 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 17:53:44 - mmengine - INFO - Epoch(train) [10][2640/3842] lr: 2.8313e-04 eta: 0:10:25 time: 0.4963 data_time: 0.0224 memory: 10484 grad_norm: 0.2812 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.8194 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0456 loss: 0.0456 2022/08/11 17:53:55 - mmengine - INFO - Epoch(train) [10][2660/3842] lr: 2.7381e-04 eta: 0:10:15 time: 0.5286 data_time: 0.0163 memory: 10484 grad_norm: 0.2837 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8556 recall@top3: 0.8000 prec@top3: 0.7333 recall@top5: 0.9444 prec@top5: 0.5200 loss_action_cls: 0.0505 loss: 0.0505 2022/08/11 17:54:05 - mmengine - INFO - Epoch(train) [10][2680/3842] lr: 2.6464e-04 eta: 0:10:04 time: 0.4899 data_time: 0.0172 memory: 10484 grad_norm: 0.2803 recall@thr=0.5: 0.9231 prec@thr=0.5: 0.8923 recall@top3: 0.9038 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0406 loss: 0.0406 2022/08/11 17:54:15 - mmengine - INFO - Epoch(train) [10][2700/3842] lr: 2.5563e-04 eta: 0:09:54 time: 0.5331 data_time: 0.0222 memory: 10484 grad_norm: 0.2807 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8118 recall@top3: 0.8235 prec@top3: 0.7843 recall@top5: 0.9608 prec@top5: 0.5647 loss_action_cls: 0.0445 loss: 0.0445 2022/08/11 17:54:25 - mmengine - INFO - Epoch(train) [10][2720/3842] lr: 2.4677e-04 eta: 0:09:43 time: 0.4894 data_time: 0.0159 memory: 10484 grad_norm: 0.2811 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7417 recall@top3: 0.7417 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0515 loss: 0.0515 2022/08/11 17:54:36 - mmengine - INFO - Epoch(train) [10][2740/3842] lr: 2.3807e-04 eta: 0:09:33 time: 0.5327 data_time: 0.0200 memory: 10484 grad_norm: 0.2878 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9500 recall@top3: 0.7833 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0444 loss: 0.0444 2022/08/11 17:54:46 - mmengine - INFO - Epoch(train) [10][2760/3842] lr: 2.2952e-04 eta: 0:09:23 time: 0.4898 data_time: 0.0161 memory: 10484 grad_norm: 0.2760 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8148 recall@top3: 0.7685 prec@top3: 0.6852 recall@top5: 0.9259 prec@top5: 0.5222 loss_action_cls: 0.0445 loss: 0.0445 2022/08/11 17:54:56 - mmengine - INFO - Epoch(train) [10][2780/3842] lr: 2.2113e-04 eta: 0:09:12 time: 0.5274 data_time: 0.0155 memory: 10484 grad_norm: 0.2790 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8667 recall@top3: 0.8056 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5600 loss_action_cls: 0.0419 loss: 0.0419 2022/08/11 17:55:06 - mmengine - INFO - Epoch(train) [10][2800/3842] lr: 2.1289e-04 eta: 0:09:02 time: 0.5006 data_time: 0.0214 memory: 10484 grad_norm: 0.2851 recall@thr=0.5: 0.8123 prec@thr=0.5: 0.9035 recall@top3: 0.8018 prec@top3: 0.8421 recall@top5: 0.9605 prec@top5: 0.6421 loss_action_cls: 0.0477 loss: 0.0477 2022/08/11 17:55:16 - mmengine - INFO - Epoch(train) [10][2820/3842] lr: 2.0482e-04 eta: 0:08:51 time: 0.4912 data_time: 0.0187 memory: 10484 grad_norm: 0.2823 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.9250 recall@top3: 0.7552 prec@top3: 0.7083 recall@top5: 0.8646 prec@top5: 0.5000 loss_action_cls: 0.0593 loss: 0.0593 2022/08/11 17:55:26 - mmengine - INFO - Epoch(train) [10][2840/3842] lr: 1.9689e-04 eta: 0:08:41 time: 0.5084 data_time: 0.0156 memory: 10484 grad_norm: 0.2758 recall@thr=0.5: 0.8289 prec@thr=0.5: 0.8947 recall@top3: 0.8816 prec@top3: 0.7018 recall@top5: 0.9342 prec@top5: 0.4632 loss_action_cls: 0.0454 loss: 0.0454 2022/08/11 17:55:36 - mmengine - INFO - Epoch(train) [10][2860/3842] lr: 1.8912e-04 eta: 0:08:30 time: 0.4948 data_time: 0.0181 memory: 10484 grad_norm: 0.2747 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.8194 recall@top3: 0.8194 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0452 loss: 0.0452 2022/08/11 17:55:46 - mmengine - INFO - Epoch(train) [10][2880/3842] lr: 1.8151e-04 eta: 0:08:20 time: 0.5166 data_time: 0.0134 memory: 10484 grad_norm: 0.2682 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.8726 recall@top3: 0.8929 prec@top3: 0.7143 recall@top5: 0.9643 prec@top5: 0.4714 loss_action_cls: 0.0465 loss: 0.0465 2022/08/11 17:55:57 - mmengine - INFO - Epoch(train) [10][2900/3842] lr: 1.7406e-04 eta: 0:08:10 time: 0.5283 data_time: 0.0194 memory: 10484 grad_norm: 0.2784 recall@thr=0.5: 0.7725 prec@thr=0.5: 0.8625 recall@top3: 0.7683 prec@top3: 0.7333 recall@top5: 0.9875 prec@top5: 0.5600 loss_action_cls: 0.0461 loss: 0.0461 2022/08/11 17:56:09 - mmengine - INFO - Epoch(train) [10][2920/3842] lr: 1.6676e-04 eta: 0:07:59 time: 0.5934 data_time: 0.0173 memory: 10484 grad_norm: 0.2681 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7461 recall@top3: 0.8873 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0496 loss: 0.0496 2022/08/11 17:56:19 - mmengine - INFO - Epoch(train) [10][2940/3842] lr: 1.5961e-04 eta: 0:07:49 time: 0.5223 data_time: 0.0232 memory: 10484 grad_norm: 0.2804 recall@thr=0.5: 0.6161 prec@thr=0.5: 0.7917 recall@top3: 0.7292 prec@top3: 0.6667 recall@top5: 0.8810 prec@top5: 0.4929 loss_action_cls: 0.0443 loss: 0.0443 2022/08/11 17:56:29 - mmengine - INFO - Epoch(train) [10][2960/3842] lr: 1.5263e-04 eta: 0:07:38 time: 0.4935 data_time: 0.0175 memory: 10484 grad_norm: 0.2851 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.7722 recall@top3: 0.7756 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5733 loss_action_cls: 0.0467 loss: 0.0467 2022/08/11 17:56:40 - mmengine - INFO - Epoch(train) [10][2980/3842] lr: 1.4580e-04 eta: 0:07:28 time: 0.5385 data_time: 0.0178 memory: 10484 grad_norm: 0.2752 recall@thr=0.5: 0.8382 prec@thr=0.5: 0.8529 recall@top3: 0.8382 prec@top3: 0.5882 recall@top5: 0.9020 prec@top5: 0.3882 loss_action_cls: 0.0503 loss: 0.0503 2022/08/11 17:56:50 - mmengine - INFO - Epoch(train) [10][3000/3842] lr: 1.3912e-04 eta: 0:07:18 time: 0.5124 data_time: 0.0177 memory: 10484 grad_norm: 0.2811 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8182 recall@top3: 0.8939 prec@top3: 0.6364 recall@top5: 0.8939 prec@top5: 0.3818 loss_action_cls: 0.0488 loss: 0.0488 2022/08/11 17:57:01 - mmengine - INFO - Epoch(train) [10][3020/3842] lr: 1.3260e-04 eta: 0:07:07 time: 0.5172 data_time: 0.0171 memory: 10484 grad_norm: 0.2837 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.8667 recall@top3: 0.9000 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0410 loss: 0.0410 2022/08/11 17:57:10 - mmengine - INFO - Epoch(train) [10][3040/3842] lr: 1.2624e-04 eta: 0:06:57 time: 0.4901 data_time: 0.0183 memory: 10484 grad_norm: 0.2729 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6222 recall@top3: 0.7000 prec@top3: 0.4667 recall@top5: 0.9500 prec@top5: 0.4133 loss_action_cls: 0.0476 loss: 0.0476 2022/08/11 17:57:21 - mmengine - INFO - Epoch(train) [10][3060/3842] lr: 1.2003e-04 eta: 0:06:46 time: 0.5060 data_time: 0.0151 memory: 10484 grad_norm: 0.2887 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7556 recall@top3: 0.7778 prec@top3: 0.6444 recall@top5: 0.9778 prec@top5: 0.5067 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 17:57:30 - mmengine - INFO - Epoch(train) [10][3080/3842] lr: 1.1398e-04 eta: 0:06:36 time: 0.4892 data_time: 0.0178 memory: 10484 grad_norm: 0.2827 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6786 recall@top3: 0.7024 prec@top3: 0.4762 recall@top5: 0.9286 prec@top5: 0.3857 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 17:57:41 - mmengine - INFO - Epoch(train) [10][3100/3842] lr: 1.0809e-04 eta: 0:06:26 time: 0.5328 data_time: 0.0162 memory: 10484 grad_norm: 0.2905 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.7821 recall@top3: 0.9327 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0487 loss: 0.0487 2022/08/11 17:57:51 - mmengine - INFO - Epoch(train) [10][3120/3842] lr: 1.0235e-04 eta: 0:06:15 time: 0.4963 data_time: 0.0232 memory: 10484 grad_norm: 0.2824 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7222 recall@top3: 0.6319 prec@top3: 0.6389 recall@top5: 0.7917 prec@top5: 0.5000 loss_action_cls: 0.0445 loss: 0.0445 2022/08/11 17:58:01 - mmengine - INFO - Epoch(train) [10][3140/3842] lr: 9.6768e-05 eta: 0:06:05 time: 0.5157 data_time: 0.0157 memory: 10484 grad_norm: 0.2673 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7222 recall@top3: 0.9259 prec@top3: 0.7037 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0431 loss: 0.0431 2022/08/11 17:58:11 - mmengine - INFO - Epoch(train) [10][3160/3842] lr: 9.1342e-05 eta: 0:05:54 time: 0.5127 data_time: 0.0177 memory: 10484 grad_norm: 0.2988 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.9479 recall@top3: 0.8924 prec@top3: 0.8194 recall@top5: 0.9792 prec@top5: 0.5500 loss_action_cls: 0.0556 loss: 0.0556 2022/08/11 17:58:21 - mmengine - INFO - Epoch(train) [10][3180/3842] lr: 8.6073e-05 eta: 0:05:44 time: 0.4933 data_time: 0.0166 memory: 10484 grad_norm: 0.2779 recall@thr=0.5: 0.8630 prec@thr=0.5: 0.9058 recall@top3: 0.8493 prec@top3: 0.8116 recall@top5: 1.0000 prec@top5: 0.5913 loss_action_cls: 0.0433 loss: 0.0433 2022/08/11 17:58:32 - mmengine - INFO - Epoch(train) [10][3200/3842] lr: 8.0960e-05 eta: 0:05:34 time: 0.5311 data_time: 0.0162 memory: 10484 grad_norm: 0.2789 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.7454 recall@top3: 0.9028 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4111 loss_action_cls: 0.0451 loss: 0.0451 2022/08/11 17:58:42 - mmengine - INFO - Epoch(train) [10][3220/3842] lr: 7.6004e-05 eta: 0:05:23 time: 0.4898 data_time: 0.0173 memory: 10484 grad_norm: 0.2850 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8556 recall@top3: 0.8611 prec@top3: 0.7778 recall@top5: 0.9667 prec@top5: 0.5333 loss_action_cls: 0.0460 loss: 0.0460 2022/08/11 17:58:52 - mmengine - INFO - Epoch(train) [10][3240/3842] lr: 7.1204e-05 eta: 0:05:13 time: 0.5088 data_time: 0.0167 memory: 10484 grad_norm: 0.2880 recall@thr=0.5: 0.8651 prec@thr=0.5: 0.9524 recall@top3: 0.9246 prec@top3: 0.8889 recall@top5: 1.0000 prec@top5: 0.5905 loss_action_cls: 0.0411 loss: 0.0411 2022/08/11 17:59:02 - mmengine - INFO - Epoch(train) [10][3260/3842] lr: 6.6560e-05 eta: 0:05:02 time: 0.4911 data_time: 0.0171 memory: 10484 grad_norm: 0.2778 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8409 recall@top3: 0.8561 prec@top3: 0.5152 recall@top5: 0.9242 prec@top5: 0.3455 loss_action_cls: 0.0489 loss: 0.0489 2022/08/11 17:59:12 - mmengine - INFO - Epoch(train) [10][3280/3842] lr: 6.2073e-05 eta: 0:04:52 time: 0.5143 data_time: 0.0189 memory: 10484 grad_norm: 0.2765 recall@thr=0.5: 0.8508 prec@thr=0.5: 0.8942 recall@top3: 0.8683 prec@top3: 0.7667 recall@top5: 0.9583 prec@top5: 0.5300 loss_action_cls: 0.0425 loss: 0.0425 2022/08/11 17:59:22 - mmengine - INFO - Epoch(train) [10][3300/3842] lr: 5.7742e-05 eta: 0:04:41 time: 0.4914 data_time: 0.0164 memory: 10484 grad_norm: 0.2814 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6467 recall@top3: 0.7567 prec@top3: 0.6267 recall@top5: 0.8600 prec@top5: 0.4400 loss_action_cls: 0.0531 loss: 0.0531 2022/08/11 17:59:32 - mmengine - INFO - Epoch(train) [10][3320/3842] lr: 5.3568e-05 eta: 0:04:31 time: 0.5176 data_time: 0.0179 memory: 10484 grad_norm: 0.2832 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6406 recall@top3: 0.7708 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4875 loss_action_cls: 0.0546 loss: 0.0546 2022/08/11 17:59:42 - mmengine - INFO - Epoch(train) [10][3340/3842] lr: 4.9550e-05 eta: 0:04:21 time: 0.4905 data_time: 0.0171 memory: 10484 grad_norm: 0.2753 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.7692 recall@top3: 0.9231 prec@top3: 0.5641 recall@top5: 0.9615 prec@top5: 0.3538 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 17:59:52 - mmengine - INFO - Epoch(train) [10][3360/3842] lr: 4.5689e-05 eta: 0:04:10 time: 0.5138 data_time: 0.0180 memory: 10484 grad_norm: 0.2811 recall@thr=0.5: 0.7737 prec@thr=0.5: 0.8333 recall@top3: 0.8456 prec@top3: 0.6316 recall@top5: 0.9632 prec@top5: 0.4526 loss_action_cls: 0.0456 loss: 0.0456 2022/08/11 18:00:05 - mmengine - INFO - Epoch(train) [10][3380/3842] lr: 4.1984e-05 eta: 0:04:00 time: 0.6266 data_time: 0.0175 memory: 10484 grad_norm: 0.2761 recall@thr=0.5: 0.8598 prec@thr=0.5: 0.9280 recall@top3: 0.9583 prec@top3: 0.8788 recall@top5: 0.9886 prec@top5: 0.5455 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 18:00:15 - mmengine - INFO - Epoch(train) [10][3400/3842] lr: 3.8436e-05 eta: 0:03:49 time: 0.4927 data_time: 0.0188 memory: 10484 grad_norm: 0.2785 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.9643 recall@top3: 0.9286 prec@top3: 0.6905 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0445 loss: 0.0445 2022/08/11 18:00:25 - mmengine - INFO - Epoch(train) [10][3420/3842] lr: 3.5044e-05 eta: 0:03:39 time: 0.5318 data_time: 0.0158 memory: 10484 grad_norm: 0.2737 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9394 recall@top3: 0.9273 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0414 loss: 0.0414 2022/08/11 18:00:26 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 18:00:35 - mmengine - INFO - Epoch(train) [10][3440/3842] lr: 3.1809e-05 eta: 0:03:29 time: 0.4922 data_time: 0.0184 memory: 10484 grad_norm: 0.2832 recall@thr=0.5: 0.8528 prec@thr=0.5: 0.9333 recall@top3: 0.8972 prec@top3: 0.8778 recall@top5: 0.9722 prec@top5: 0.5733 loss_action_cls: 0.0481 loss: 0.0481 2022/08/11 18:00:46 - mmengine - INFO - Epoch(train) [10][3460/3842] lr: 2.8731e-05 eta: 0:03:18 time: 0.5271 data_time: 0.0162 memory: 10484 grad_norm: 0.2823 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.7727 recall@top3: 0.8030 prec@top3: 0.4848 recall@top5: 0.8333 prec@top5: 0.3091 loss_action_cls: 0.0484 loss: 0.0484 2022/08/11 18:00:56 - mmengine - INFO - Epoch(train) [10][3480/3842] lr: 2.5809e-05 eta: 0:03:08 time: 0.4903 data_time: 0.0184 memory: 10484 grad_norm: 0.3018 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8389 recall@top3: 0.8556 prec@top3: 0.7667 recall@top5: 0.9778 prec@top5: 0.5467 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 18:01:06 - mmengine - INFO - Epoch(train) [10][3500/3842] lr: 2.3044e-05 eta: 0:02:57 time: 0.5250 data_time: 0.0155 memory: 10484 grad_norm: 0.2827 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8417 recall@top3: 0.9083 prec@top3: 0.6333 recall@top5: 0.9667 prec@top5: 0.4200 loss_action_cls: 0.0480 loss: 0.0480 2022/08/11 18:01:16 - mmengine - INFO - Epoch(train) [10][3520/3842] lr: 2.0435e-05 eta: 0:02:47 time: 0.4910 data_time: 0.0178 memory: 10484 grad_norm: 0.2817 recall@thr=0.5: 0.7071 prec@thr=0.5: 0.7679 recall@top3: 0.7571 prec@top3: 0.6667 recall@top5: 0.8571 prec@top5: 0.4857 loss_action_cls: 0.0516 loss: 0.0516 2022/08/11 18:01:26 - mmengine - INFO - Epoch(train) [10][3540/3842] lr: 1.7983e-05 eta: 0:02:37 time: 0.5131 data_time: 0.0163 memory: 10484 grad_norm: 0.2940 recall@thr=0.5: 0.7905 prec@thr=0.5: 0.8611 recall@top3: 0.7913 prec@top3: 0.8730 recall@top5: 0.9333 prec@top5: 0.6286 loss_action_cls: 0.0498 loss: 0.0498 2022/08/11 18:01:36 - mmengine - INFO - Epoch(train) [10][3560/3842] lr: 1.5687e-05 eta: 0:02:26 time: 0.4917 data_time: 0.0188 memory: 10484 grad_norm: 0.2854 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.9222 recall@top3: 0.8889 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0506 loss: 0.0506 2022/08/11 18:01:46 - mmengine - INFO - Epoch(train) [10][3580/3842] lr: 1.3549e-05 eta: 0:02:16 time: 0.5234 data_time: 0.0151 memory: 10484 grad_norm: 0.2800 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8056 recall@top3: 0.9722 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0471 loss: 0.0471 2022/08/11 18:01:56 - mmengine - INFO - Epoch(train) [10][3600/3842] lr: 1.1566e-05 eta: 0:02:05 time: 0.4932 data_time: 0.0181 memory: 10484 grad_norm: 0.2840 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8750 recall@top3: 0.9583 prec@top3: 0.6111 recall@top5: 0.9861 prec@top5: 0.3889 loss_action_cls: 0.0489 loss: 0.0489 2022/08/11 18:02:07 - mmengine - INFO - Epoch(train) [10][3620/3842] lr: 9.7409e-06 eta: 0:01:55 time: 0.5215 data_time: 0.0145 memory: 10484 grad_norm: 0.2837 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.8442 recall@top3: 0.7587 prec@top3: 0.8116 recall@top5: 0.9275 prec@top5: 0.6087 loss_action_cls: 0.0485 loss: 0.0485 2022/08/11 18:02:17 - mmengine - INFO - Epoch(train) [10][3640/3842] lr: 8.0720e-06 eta: 0:01:45 time: 0.4961 data_time: 0.0170 memory: 10484 grad_norm: 0.2852 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.8947 recall@top3: 0.8991 prec@top3: 0.8246 recall@top5: 0.9825 prec@top5: 0.5579 loss_action_cls: 0.0455 loss: 0.0455 2022/08/11 18:02:27 - mmengine - INFO - Epoch(train) [10][3660/3842] lr: 6.5599e-06 eta: 0:01:34 time: 0.5238 data_time: 0.0157 memory: 10484 grad_norm: 0.2746 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8417 recall@top3: 0.8833 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.3900 loss_action_cls: 0.0428 loss: 0.0428 2022/08/11 18:02:38 - mmengine - INFO - Epoch(train) [10][3680/3842] lr: 5.2044e-06 eta: 0:01:24 time: 0.5201 data_time: 0.0175 memory: 10484 grad_norm: 0.2716 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.7500 recall@top3: 0.7679 prec@top3: 0.7381 recall@top5: 0.9762 prec@top5: 0.5571 loss_action_cls: 0.0472 loss: 0.0472 2022/08/11 18:02:47 - mmengine - INFO - Epoch(train) [10][3700/3842] lr: 4.0056e-06 eta: 0:01:13 time: 0.4943 data_time: 0.0199 memory: 10484 grad_norm: 0.2871 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8542 recall@top3: 0.9479 prec@top3: 0.7708 recall@top5: 0.9792 prec@top5: 0.4875 loss_action_cls: 0.0500 loss: 0.0500 2022/08/11 18:02:58 - mmengine - INFO - Epoch(train) [10][3720/3842] lr: 2.9635e-06 eta: 0:01:03 time: 0.5293 data_time: 0.0157 memory: 10484 grad_norm: 0.2863 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.6884 recall@top3: 0.8261 prec@top3: 0.6957 recall@top5: 0.9783 prec@top5: 0.4696 loss_action_cls: 0.0512 loss: 0.0512 2022/08/11 18:03:08 - mmengine - INFO - Epoch(train) [10][3740/3842] lr: 2.0781e-06 eta: 0:00:53 time: 0.5115 data_time: 0.0162 memory: 10484 grad_norm: 0.2778 recall@thr=0.5: 0.8991 prec@thr=0.5: 0.9035 recall@top3: 0.9123 prec@top3: 0.8246 recall@top5: 0.9693 prec@top5: 0.5368 loss_action_cls: 0.0473 loss: 0.0473 2022/08/11 18:03:18 - mmengine - INFO - Epoch(train) [10][3760/3842] lr: 1.3495e-06 eta: 0:00:42 time: 0.4940 data_time: 0.0177 memory: 10484 grad_norm: 0.2788 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.8636 recall@top3: 0.8409 prec@top3: 0.6061 recall@top5: 0.9318 prec@top5: 0.4364 loss_action_cls: 0.0475 loss: 0.0475 2022/08/11 18:03:29 - mmengine - INFO - Epoch(train) [10][3780/3842] lr: 7.7747e-07 eta: 0:00:32 time: 0.5234 data_time: 0.0163 memory: 10484 grad_norm: 0.2938 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8188 recall@top3: 0.8986 prec@top3: 0.7391 recall@top5: 0.9638 prec@top5: 0.4783 loss_action_cls: 0.0508 loss: 0.0508 2022/08/11 18:03:39 - mmengine - INFO - Epoch(train) [10][3800/3842] lr: 3.6220e-07 eta: 0:00:21 time: 0.5166 data_time: 0.0171 memory: 10484 grad_norm: 0.2726 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.7121 recall@top3: 0.9167 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0496 loss: 0.0496 2022/08/11 18:03:49 - mmengine - INFO - Epoch(train) [10][3820/3842] lr: 1.0362e-07 eta: 0:00:11 time: 0.5180 data_time: 0.0196 memory: 10484 grad_norm: 0.2711 recall@thr=0.5: 0.8341 prec@thr=0.5: 0.8703 recall@top3: 0.7841 prec@top3: 0.7971 recall@top5: 0.9710 prec@top5: 0.6174 loss_action_cls: 0.0446 loss: 0.0446 2022/08/11 18:03:59 - mmengine - INFO - Epoch(train) [10][3840/3842] lr: 1.7630e-09 eta: 0:00:01 time: 0.4835 data_time: 0.0179 memory: 10484 grad_norm: 0.2744 recall@thr=0.5: 0.7294 prec@thr=0.5: 0.9020 recall@top3: 0.8882 prec@top3: 0.7647 recall@top5: 0.9608 prec@top5: 0.5176 loss_action_cls: 0.0462 loss: 0.0462 2022/08/11 18:04:00 - mmengine - INFO - Exp name: slowfast_temporal_max_focal_alpha3_gamma1_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220811_102905 2022/08/11 18:04:00 - mmengine - INFO - Epoch(train) [10][3842/3842] lr: 1.9589e-10 eta: 0:00:01 time: 0.4687 data_time: 0.0133 memory: 10484 grad_norm: 0.2920 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.7917 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0445 loss: 0.0445 2022/08/11 18:04:00 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/11 18:04:08 - mmengine - INFO - Epoch(val) [10][20/6282] eta: 0:06:28 time: 0.0620 data_time: 0.0150 memory: 703 2022/08/11 18:04:09 - mmengine - INFO - Epoch(val) [10][40/6282] eta: 0:05:24 time: 0.0520 data_time: 0.0052 memory: 703 2022/08/11 18:04:10 - mmengine - INFO - Epoch(val) [10][60/6282] eta: 0:05:16 time: 0.0509 data_time: 0.0043 memory: 703 2022/08/11 18:04:11 - mmengine - INFO - Epoch(val) [10][80/6282] eta: 0:05:28 time: 0.0530 data_time: 0.0049 memory: 703 2022/08/11 18:04:12 - mmengine - INFO - Epoch(val) [10][100/6282] eta: 0:05:18 time: 0.0516 data_time: 0.0043 memory: 703 2022/08/11 18:04:13 - mmengine - INFO - Epoch(val) [10][120/6282] eta: 0:06:30 time: 0.0634 data_time: 0.0060 memory: 809 2022/08/11 18:04:14 - mmengine - INFO - Epoch(val) [10][140/6282] eta: 0:06:46 time: 0.0661 data_time: 0.0055 memory: 809 2022/08/11 18:04:16 - mmengine - INFO - Epoch(val) [10][160/6282] eta: 0:06:45 time: 0.0662 data_time: 0.0054 memory: 809 2022/08/11 18:04:17 - mmengine - INFO - Epoch(val) [10][180/6282] eta: 0:06:15 time: 0.0615 data_time: 0.0040 memory: 809 2022/08/11 18:04:19 - mmengine - INFO - Epoch(val) [10][200/6282] eta: 0:12:44 time: 0.1257 data_time: 0.0529 memory: 809 2022/08/11 18:04:21 - mmengine - INFO - Epoch(val) [10][220/6282] eta: 0:07:02 time: 0.0697 data_time: 0.0250 memory: 738 2022/08/11 18:04:22 - mmengine - INFO - Epoch(val) [10][240/6282] eta: 0:07:42 time: 0.0766 data_time: 0.0271 memory: 738 2022/08/11 18:04:23 - mmengine - INFO - Epoch(val) [10][260/6282] eta: 0:05:02 time: 0.0502 data_time: 0.0033 memory: 738 2022/08/11 18:04:24 - mmengine - INFO - Epoch(val) [10][280/6282] eta: 0:05:08 time: 0.0514 data_time: 0.0046 memory: 738 2022/08/11 18:04:26 - mmengine - INFO - Epoch(val) [10][300/6282] eta: 0:05:41 time: 0.0571 data_time: 0.0042 memory: 809 2022/08/11 18:04:27 - mmengine - INFO - Epoch(val) [10][320/6282] eta: 0:07:16 time: 0.0732 data_time: 0.0152 memory: 809 2022/08/11 18:04:28 - mmengine - INFO - Epoch(val) [10][340/6282] eta: 0:07:08 time: 0.0720 data_time: 0.0119 memory: 809 2022/08/11 18:04:30 - mmengine - INFO - Epoch(val) [10][360/6282] eta: 0:06:24 time: 0.0650 data_time: 0.0083 memory: 809 2022/08/11 18:04:31 - mmengine - INFO - Epoch(val) [10][380/6282] eta: 0:07:07 time: 0.0724 data_time: 0.0109 memory: 809 2022/08/11 18:04:33 - mmengine - INFO - Epoch(val) [10][400/6282] eta: 0:06:35 time: 0.0672 data_time: 0.0150 memory: 809 2022/08/11 18:04:34 - mmengine - INFO - Epoch(val) [10][420/6282] eta: 0:05:48 time: 0.0595 data_time: 0.0087 memory: 743 2022/08/11 18:04:35 - mmengine - INFO - Epoch(val) [10][440/6282] eta: 0:05:43 time: 0.0588 data_time: 0.0053 memory: 743 2022/08/11 18:04:36 - mmengine - INFO - Epoch(val) [10][460/6282] eta: 0:05:37 time: 0.0580 data_time: 0.0049 memory: 743 2022/08/11 18:04:37 - mmengine - INFO - Epoch(val) [10][480/6282] eta: 0:05:25 time: 0.0560 data_time: 0.0045 memory: 743 2022/08/11 18:04:38 - mmengine - INFO - Epoch(val) [10][500/6282] eta: 0:05:23 time: 0.0559 data_time: 0.0057 memory: 743 2022/08/11 18:04:40 - mmengine - INFO - Epoch(val) [10][520/6282] eta: 0:07:35 time: 0.0791 data_time: 0.0047 memory: 738 2022/08/11 18:04:41 - mmengine - INFO - Epoch(val) [10][540/6282] eta: 0:04:56 time: 0.0516 data_time: 0.0036 memory: 738 2022/08/11 18:04:42 - mmengine - INFO - Epoch(val) [10][560/6282] eta: 0:05:13 time: 0.0548 data_time: 0.0041 memory: 738 2022/08/11 18:04:43 - mmengine - INFO - Epoch(val) [10][580/6282] eta: 0:04:47 time: 0.0505 data_time: 0.0039 memory: 738 2022/08/11 18:04:44 - mmengine - INFO - Epoch(val) [10][600/6282] eta: 0:04:55 time: 0.0520 data_time: 0.0043 memory: 738 2022/08/11 18:04:45 - mmengine - INFO - Epoch(val) [10][620/6282] eta: 0:04:56 time: 0.0523 data_time: 0.0056 memory: 738 2022/08/11 18:04:46 - mmengine - INFO - Epoch(val) [10][640/6282] eta: 0:04:50 time: 0.0515 data_time: 0.0039 memory: 733 2022/08/11 18:04:47 - mmengine - INFO - Epoch(val) [10][660/6282] eta: 0:04:51 time: 0.0518 data_time: 0.0049 memory: 733 2022/08/11 18:04:48 - mmengine - INFO - Epoch(val) [10][680/6282] eta: 0:04:32 time: 0.0486 data_time: 0.0037 memory: 733 2022/08/11 18:04:49 - mmengine - INFO - Epoch(val) [10][700/6282] eta: 0:04:32 time: 0.0487 data_time: 0.0040 memory: 733 2022/08/11 18:04:52 - mmengine - INFO - Epoch(val) [10][720/6282] eta: 0:14:06 time: 0.1522 data_time: 0.0779 memory: 809 2022/08/11 18:04:56 - mmengine - INFO - Epoch(val) [10][740/6282] eta: 0:16:34 time: 0.1794 data_time: 0.1178 memory: 809 2022/08/11 18:04:59 - mmengine - INFO - Epoch(val) [10][760/6282] eta: 0:15:04 time: 0.1639 data_time: 0.1090 memory: 809 2022/08/11 18:05:08 - mmengine - INFO - Epoch(val) [10][780/6282] eta: 0:38:58 time: 0.4250 data_time: 0.3695 memory: 809 2022/08/11 18:05:10 - mmengine - INFO - Epoch(val) [10][800/6282] eta: 0:10:40 time: 0.1168 data_time: 0.0585 memory: 809 2022/08/11 18:05:12 - mmengine - INFO - Epoch(val) [10][820/6282] eta: 0:07:30 time: 0.0825 data_time: 0.0324 memory: 809 2022/08/11 18:05:13 - mmengine - INFO - Epoch(val) [10][840/6282] eta: 0:06:50 time: 0.0754 data_time: 0.0287 memory: 738 2022/08/11 18:05:15 - mmengine - INFO - Epoch(val) [10][860/6282] eta: 0:07:18 time: 0.0810 data_time: 0.0082 memory: 738 2022/08/11 18:05:16 - mmengine - INFO - Epoch(val) [10][880/6282] eta: 0:05:04 time: 0.0565 data_time: 0.0057 memory: 738 2022/08/11 18:05:17 - mmengine - INFO - Epoch(val) [10][900/6282] eta: 0:04:51 time: 0.0542 data_time: 0.0048 memory: 738 2022/08/11 18:05:18 - mmengine - INFO - Epoch(val) [10][920/6282] eta: 0:05:58 time: 0.0669 data_time: 0.0219 memory: 738 2022/08/11 18:05:19 - mmengine - INFO - Epoch(val) [10][940/6282] eta: 0:04:08 time: 0.0466 data_time: 0.0033 memory: 703 2022/08/11 18:05:20 - mmengine - INFO - Epoch(val) [10][960/6282] eta: 0:04:00 time: 0.0452 data_time: 0.0035 memory: 703 2022/08/11 18:05:21 - mmengine - INFO - Epoch(val) [10][980/6282] eta: 0:04:43 time: 0.0535 data_time: 0.0057 memory: 703 2022/08/11 18:05:22 - mmengine - INFO - Epoch(val) [10][1000/6282] eta: 0:04:40 time: 0.0531 data_time: 0.0036 memory: 703 2022/08/11 18:05:23 - mmengine - INFO - Epoch(val) [10][1020/6282] eta: 0:04:32 time: 0.0518 data_time: 0.0045 memory: 738 2022/08/11 18:05:25 - mmengine - INFO - Epoch(val) [10][1040/6282] eta: 0:07:01 time: 0.0805 data_time: 0.0078 memory: 738 2022/08/11 18:05:26 - mmengine - INFO - Epoch(val) [10][1060/6282] eta: 0:04:53 time: 0.0561 data_time: 0.0055 memory: 738 2022/08/11 18:05:27 - mmengine - INFO - Epoch(val) [10][1080/6282] eta: 0:04:54 time: 0.0566 data_time: 0.0062 memory: 738 2022/08/11 18:05:29 - mmengine - INFO - Epoch(val) [10][1100/6282] eta: 0:04:55 time: 0.0570 data_time: 0.0052 memory: 738 2022/08/11 18:05:30 - mmengine - INFO - Epoch(val) [10][1120/6282] eta: 0:04:41 time: 0.0546 data_time: 0.0044 memory: 738 2022/08/11 18:05:31 - mmengine - INFO - Epoch(val) [10][1140/6282] eta: 0:04:42 time: 0.0549 data_time: 0.0048 memory: 738 2022/08/11 18:05:32 - mmengine - INFO - Epoch(val) [10][1160/6282] eta: 0:04:33 time: 0.0534 data_time: 0.0049 memory: 738 2022/08/11 18:05:33 - mmengine - INFO - Epoch(val) [10][1180/6282] eta: 0:04:29 time: 0.0528 data_time: 0.0052 memory: 738 2022/08/11 18:05:34 - mmengine - INFO - Epoch(val) [10][1200/6282] eta: 0:04:32 time: 0.0536 data_time: 0.0047 memory: 738 2022/08/11 18:05:35 - mmengine - INFO - Epoch(val) [10][1220/6282] eta: 0:04:33 time: 0.0540 data_time: 0.0039 memory: 738 2022/08/11 18:05:39 - mmengine - INFO - Epoch(val) [10][1240/6282] eta: 0:14:47 time: 0.1759 data_time: 0.1153 memory: 809 2022/08/11 18:05:42 - mmengine - INFO - Epoch(val) [10][1260/6282] eta: 0:14:49 time: 0.1771 data_time: 0.0863 memory: 809 2022/08/11 18:05:45 - mmengine - INFO - Epoch(val) [10][1280/6282] eta: 0:13:09 time: 0.1578 data_time: 0.1051 memory: 809 2022/08/11 18:05:54 - mmengine - INFO - Epoch(val) [10][1300/6282] eta: 0:37:37 time: 0.4532 data_time: 0.3781 memory: 809 2022/08/11 18:05:58 - mmengine - INFO - Epoch(val) [10][1320/6282] eta: 0:13:58 time: 0.1690 data_time: 0.1107 memory: 809 2022/08/11 18:06:01 - mmengine - INFO - Epoch(val) [10][1340/6282] eta: 0:14:51 time: 0.1805 data_time: 0.1215 memory: 809 2022/08/11 18:06:04 - mmengine - INFO - Epoch(val) [10][1360/6282] eta: 0:11:15 time: 0.1372 data_time: 0.0697 memory: 809 2022/08/11 18:06:09 - mmengine - INFO - Epoch(val) [10][1380/6282] eta: 0:19:41 time: 0.2410 data_time: 0.1653 memory: 809 2022/08/11 18:06:12 - mmengine - INFO - Epoch(val) [10][1400/6282] eta: 0:11:24 time: 0.1401 data_time: 0.0796 memory: 809 2022/08/11 18:06:15 - mmengine - INFO - Epoch(val) [10][1420/6282] eta: 0:13:49 time: 0.1705 data_time: 0.1085 memory: 809 2022/08/11 18:06:17 - mmengine - INFO - Epoch(val) [10][1440/6282] eta: 0:07:27 time: 0.0925 data_time: 0.0126 memory: 809 2022/08/11 18:06:18 - mmengine - INFO - Epoch(val) [10][1460/6282] eta: 0:05:07 time: 0.0638 data_time: 0.0040 memory: 809 2022/08/11 18:06:20 - mmengine - INFO - Epoch(val) [10][1480/6282] eta: 0:05:11 time: 0.0648 data_time: 0.0045 memory: 809 2022/08/11 18:06:21 - mmengine - INFO - Epoch(val) [10][1500/6282] eta: 0:05:09 time: 0.0646 data_time: 0.0059 memory: 809 2022/08/11 18:06:22 - mmengine - INFO - Epoch(val) [10][1520/6282] eta: 0:05:28 time: 0.0691 data_time: 0.0057 memory: 911 2022/08/11 18:06:24 - mmengine - INFO - Epoch(val) [10][1540/6282] eta: 0:06:12 time: 0.0785 data_time: 0.0053 memory: 911 2022/08/11 18:06:25 - mmengine - INFO - Epoch(val) [10][1560/6282] eta: 0:06:05 time: 0.0775 data_time: 0.0053 memory: 911 2022/08/11 18:06:27 - mmengine - INFO - Epoch(val) [10][1580/6282] eta: 0:05:52 time: 0.0749 data_time: 0.0053 memory: 911 2022/08/11 18:06:29 - mmengine - INFO - Epoch(val) [10][1600/6282] eta: 0:07:42 time: 0.0987 data_time: 0.0052 memory: 911 2022/08/11 18:06:30 - mmengine - INFO - Epoch(val) [10][1620/6282] eta: 0:05:48 time: 0.0747 data_time: 0.0046 memory: 911 2022/08/11 18:06:32 - mmengine - INFO - Epoch(val) [10][1640/6282] eta: 0:04:52 time: 0.0629 data_time: 0.0045 memory: 809 2022/08/11 18:06:33 - mmengine - INFO - Epoch(val) [10][1660/6282] eta: 0:04:55 time: 0.0638 data_time: 0.0052 memory: 809 2022/08/11 18:06:34 - mmengine - INFO - Epoch(val) [10][1680/6282] eta: 0:04:48 time: 0.0626 data_time: 0.0054 memory: 809 2022/08/11 18:06:36 - mmengine - INFO - Epoch(val) [10][1700/6282] eta: 0:05:04 time: 0.0664 data_time: 0.0049 memory: 809 2022/08/11 18:06:37 - mmengine - INFO - Epoch(val) [10][1720/6282] eta: 0:04:45 time: 0.0627 data_time: 0.0048 memory: 809 2022/08/11 18:06:38 - mmengine - INFO - Epoch(val) [10][1740/6282] eta: 0:04:31 time: 0.0599 data_time: 0.0046 memory: 809 2022/08/11 18:06:39 - mmengine - INFO - Epoch(val) [10][1760/6282] eta: 0:04:39 time: 0.0617 data_time: 0.0053 memory: 809 2022/08/11 18:06:41 - mmengine - INFO - Epoch(val) [10][1780/6282] eta: 0:06:43 time: 0.0896 data_time: 0.0045 memory: 809 2022/08/11 18:06:42 - mmengine - INFO - Epoch(val) [10][1800/6282] eta: 0:05:02 time: 0.0676 data_time: 0.0057 memory: 809 2022/08/11 18:06:44 - mmengine - INFO - Epoch(val) [10][1820/6282] eta: 0:04:37 time: 0.0623 data_time: 0.0044 memory: 809 2022/08/11 18:06:45 - mmengine - INFO - Epoch(val) [10][1840/6282] eta: 0:06:15 time: 0.0845 data_time: 0.0249 memory: 809 2022/08/11 18:06:49 - mmengine - INFO - Epoch(val) [10][1860/6282] eta: 0:13:33 time: 0.1840 data_time: 0.1234 memory: 809 2022/08/11 18:06:52 - mmengine - INFO - Epoch(val) [10][1880/6282] eta: 0:11:48 time: 0.1609 data_time: 0.0732 memory: 809 2022/08/11 18:06:55 - mmengine - INFO - Epoch(val) [10][1900/6282] eta: 0:09:09 time: 0.1253 data_time: 0.0624 memory: 809 2022/08/11 18:06:57 - mmengine - INFO - Epoch(val) [10][1920/6282] eta: 0:09:11 time: 0.1265 data_time: 0.0636 memory: 809 2022/08/11 18:07:00 - mmengine - INFO - Epoch(val) [10][1940/6282] eta: 0:09:31 time: 0.1317 data_time: 0.0725 memory: 809 2022/08/11 18:07:01 - mmengine - INFO - Epoch(val) [10][1960/6282] eta: 0:03:50 time: 0.0533 data_time: 0.0038 memory: 743 2022/08/11 18:07:02 - mmengine - INFO - Epoch(val) [10][1980/6282] eta: 0:04:09 time: 0.0579 data_time: 0.0057 memory: 743 2022/08/11 18:07:04 - mmengine - INFO - Epoch(val) [10][2000/6282] eta: 0:05:49 time: 0.0815 data_time: 0.0049 memory: 743 2022/08/11 18:07:05 - mmengine - INFO - Epoch(val) [10][2020/6282] eta: 0:03:52 time: 0.0545 data_time: 0.0046 memory: 743 2022/08/11 18:07:06 - mmengine - INFO - Epoch(val) [10][2040/6282] eta: 0:03:59 time: 0.0564 data_time: 0.0050 memory: 743 2022/08/11 18:07:07 - mmengine - INFO - Epoch(val) [10][2060/6282] eta: 0:03:59 time: 0.0566 data_time: 0.0054 memory: 743 2022/08/11 18:07:08 - mmengine - INFO - Epoch(val) [10][2080/6282] eta: 0:03:53 time: 0.0555 data_time: 0.0048 memory: 743 2022/08/11 18:07:09 - mmengine - INFO - Epoch(val) [10][2100/6282] eta: 0:03:51 time: 0.0553 data_time: 0.0049 memory: 743 2022/08/11 18:07:11 - mmengine - INFO - Epoch(val) [10][2120/6282] eta: 0:03:56 time: 0.0568 data_time: 0.0064 memory: 743 2022/08/11 18:07:12 - mmengine - INFO - Epoch(val) [10][2140/6282] eta: 0:03:47 time: 0.0549 data_time: 0.0048 memory: 743 2022/08/11 18:07:13 - mmengine - INFO - Epoch(val) [10][2160/6282] eta: 0:03:52 time: 0.0563 data_time: 0.0053 memory: 738 2022/08/11 18:07:14 - mmengine - INFO - Epoch(val) [10][2180/6282] eta: 0:03:42 time: 0.0541 data_time: 0.0044 memory: 738 2022/08/11 18:07:15 - mmengine - INFO - Epoch(val) [10][2200/6282] eta: 0:03:46 time: 0.0556 data_time: 0.0050 memory: 738 2022/08/11 18:07:16 - mmengine - INFO - Epoch(val) [10][2220/6282] eta: 0:03:49 time: 0.0565 data_time: 0.0060 memory: 738 2022/08/11 18:07:17 - mmengine - INFO - Epoch(val) [10][2240/6282] eta: 0:04:01 time: 0.0597 data_time: 0.0054 memory: 738 2022/08/11 18:07:19 - mmengine - INFO - Epoch(val) [10][2260/6282] eta: 0:03:57 time: 0.0590 data_time: 0.0077 memory: 743 2022/08/11 18:07:20 - mmengine - INFO - Epoch(val) [10][2280/6282] eta: 0:03:49 time: 0.0574 data_time: 0.0044 memory: 743 2022/08/11 18:07:21 - mmengine - INFO - Epoch(val) [10][2300/6282] eta: 0:03:45 time: 0.0566 data_time: 0.0039 memory: 743 2022/08/11 18:07:22 - mmengine - INFO - Epoch(val) [10][2320/6282] eta: 0:05:13 time: 0.0791 data_time: 0.0054 memory: 743 2022/08/11 18:07:24 - mmengine - INFO - Epoch(val) [10][2340/6282] eta: 0:04:07 time: 0.0627 data_time: 0.0064 memory: 743 2022/08/11 18:07:25 - mmengine - INFO - Epoch(val) [10][2360/6282] eta: 0:03:44 time: 0.0572 data_time: 0.0046 memory: 738 2022/08/11 18:07:26 - mmengine - INFO - Epoch(val) [10][2380/6282] eta: 0:03:38 time: 0.0560 data_time: 0.0039 memory: 738 2022/08/11 18:07:27 - mmengine - INFO - Epoch(val) [10][2400/6282] eta: 0:03:28 time: 0.0538 data_time: 0.0047 memory: 738 2022/08/11 18:07:28 - mmengine - INFO - Epoch(val) [10][2420/6282] eta: 0:03:29 time: 0.0542 data_time: 0.0038 memory: 738 2022/08/11 18:07:29 - mmengine - INFO - Epoch(val) [10][2440/6282] eta: 0:03:28 time: 0.0542 data_time: 0.0044 memory: 738 2022/08/11 18:07:31 - mmengine - INFO - Epoch(val) [10][2460/6282] eta: 0:05:01 time: 0.0790 data_time: 0.0209 memory: 809 2022/08/11 18:07:32 - mmengine - INFO - Epoch(val) [10][2480/6282] eta: 0:05:07 time: 0.0808 data_time: 0.0192 memory: 809 2022/08/11 18:07:34 - mmengine - INFO - Epoch(val) [10][2500/6282] eta: 0:05:36 time: 0.0889 data_time: 0.0045 memory: 809 2022/08/11 18:07:36 - mmengine - INFO - Epoch(val) [10][2520/6282] eta: 0:05:22 time: 0.0858 data_time: 0.0266 memory: 809 2022/08/11 18:07:38 - mmengine - INFO - Epoch(val) [10][2540/6282] eta: 0:07:24 time: 0.1189 data_time: 0.0580 memory: 809 2022/08/11 18:07:41 - mmengine - INFO - Epoch(val) [10][2560/6282] eta: 0:09:37 time: 0.1551 data_time: 0.0931 memory: 809 2022/08/11 18:07:45 - mmengine - INFO - Epoch(val) [10][2580/6282] eta: 0:11:09 time: 0.1810 data_time: 0.1221 memory: 809 2022/08/11 18:07:48 - mmengine - INFO - Epoch(val) [10][2600/6282] eta: 0:10:13 time: 0.1665 data_time: 0.1005 memory: 809 2022/08/11 18:07:52 - mmengine - INFO - Epoch(val) [10][2620/6282] eta: 0:11:31 time: 0.1887 data_time: 0.1040 memory: 809 2022/08/11 18:07:54 - mmengine - INFO - Epoch(val) [10][2640/6282] eta: 0:04:52 time: 0.0803 data_time: 0.0185 memory: 809 2022/08/11 18:07:55 - mmengine - INFO - Epoch(val) [10][2660/6282] eta: 0:04:52 time: 0.0806 data_time: 0.0061 memory: 902 2022/08/11 18:07:57 - mmengine - INFO - Epoch(val) [10][2680/6282] eta: 0:04:59 time: 0.0832 data_time: 0.0069 memory: 902 2022/08/11 18:07:59 - mmengine - INFO - Epoch(val) [10][2700/6282] eta: 0:04:58 time: 0.0833 data_time: 0.0065 memory: 902 2022/08/11 18:08:00 - mmengine - INFO - Epoch(val) [10][2720/6282] eta: 0:04:52 time: 0.0820 data_time: 0.0065 memory: 902 2022/08/11 18:08:02 - mmengine - INFO - Epoch(val) [10][2740/6282] eta: 0:04:40 time: 0.0792 data_time: 0.0049 memory: 902 2022/08/11 18:08:05 - mmengine - INFO - Epoch(val) [10][2760/6282] eta: 0:07:18 time: 0.1245 data_time: 0.0616 memory: 743 2022/08/11 18:08:06 - mmengine - INFO - Epoch(val) [10][2780/6282] eta: 0:04:04 time: 0.0699 data_time: 0.0267 memory: 743 2022/08/11 18:08:07 - mmengine - INFO - Epoch(val) [10][2800/6282] eta: 0:04:02 time: 0.0696 data_time: 0.0281 memory: 743 2022/08/11 18:08:08 - mmengine - INFO - Epoch(val) [10][2820/6282] eta: 0:02:36 time: 0.0451 data_time: 0.0026 memory: 743 2022/08/11 18:08:10 - mmengine - INFO - Epoch(val) [10][2840/6282] eta: 0:04:09 time: 0.0726 data_time: 0.0286 memory: 743 2022/08/11 18:08:11 - mmengine - INFO - Epoch(val) [10][2860/6282] eta: 0:03:17 time: 0.0577 data_time: 0.0052 memory: 809 2022/08/11 18:08:12 - mmengine - INFO - Epoch(val) [10][2880/6282] eta: 0:03:32 time: 0.0625 data_time: 0.0047 memory: 809 2022/08/11 18:08:13 - mmengine - INFO - Epoch(val) [10][2900/6282] eta: 0:03:27 time: 0.0614 data_time: 0.0048 memory: 809 2022/08/11 18:08:15 - mmengine - INFO - Epoch(val) [10][2920/6282] eta: 0:03:14 time: 0.0579 data_time: 0.0040 memory: 809 2022/08/11 18:08:16 - mmengine - INFO - Epoch(val) [10][2940/6282] eta: 0:03:02 time: 0.0546 data_time: 0.0044 memory: 773 2022/08/11 18:08:17 - mmengine - INFO - Epoch(val) [10][2960/6282] eta: 0:02:58 time: 0.0537 data_time: 0.0040 memory: 773 2022/08/11 18:08:18 - mmengine - INFO - Epoch(val) [10][2980/6282] eta: 0:02:59 time: 0.0545 data_time: 0.0043 memory: 773 2022/08/11 18:08:19 - mmengine - INFO - Epoch(val) [10][3000/6282] eta: 0:03:06 time: 0.0569 data_time: 0.0046 memory: 773 2022/08/11 18:08:20 - mmengine - INFO - Epoch(val) [10][3020/6282] eta: 0:03:26 time: 0.0633 data_time: 0.0052 memory: 809 2022/08/11 18:08:22 - mmengine - INFO - Epoch(val) [10][3040/6282] eta: 0:03:29 time: 0.0645 data_time: 0.0053 memory: 809 2022/08/11 18:08:23 - mmengine - INFO - Epoch(val) [10][3060/6282] eta: 0:03:43 time: 0.0693 data_time: 0.0058 memory: 809 2022/08/11 18:08:24 - mmengine - INFO - Epoch(val) [10][3080/6282] eta: 0:03:33 time: 0.0668 data_time: 0.0056 memory: 809 2022/08/11 18:08:26 - mmengine - INFO - Epoch(val) [10][3100/6282] eta: 0:03:21 time: 0.0633 data_time: 0.0048 memory: 809 2022/08/11 18:08:27 - mmengine - INFO - Epoch(val) [10][3120/6282] eta: 0:02:59 time: 0.0569 data_time: 0.0051 memory: 743 2022/08/11 18:08:28 - mmengine - INFO - Epoch(val) [10][3140/6282] eta: 0:03:04 time: 0.0587 data_time: 0.0052 memory: 743 2022/08/11 18:08:29 - mmengine - INFO - Epoch(val) [10][3160/6282] eta: 0:03:07 time: 0.0601 data_time: 0.0044 memory: 743 2022/08/11 18:08:30 - mmengine - INFO - Epoch(val) [10][3180/6282] eta: 0:03:02 time: 0.0588 data_time: 0.0059 memory: 743 2022/08/11 18:08:32 - mmengine - INFO - Epoch(val) [10][3200/6282] eta: 0:03:28 time: 0.0678 data_time: 0.0071 memory: 809 2022/08/11 18:08:33 - mmengine - INFO - Epoch(val) [10][3220/6282] eta: 0:04:03 time: 0.0795 data_time: 0.0166 memory: 809 2022/08/11 18:08:35 - mmengine - INFO - Epoch(val) [10][3240/6282] eta: 0:03:43 time: 0.0735 data_time: 0.0126 memory: 809 2022/08/11 18:08:37 - mmengine - INFO - Epoch(val) [10][3260/6282] eta: 0:04:32 time: 0.0902 data_time: 0.0316 memory: 809 2022/08/11 18:08:38 - mmengine - INFO - Epoch(val) [10][3280/6282] eta: 0:03:14 time: 0.0649 data_time: 0.0041 memory: 809 2022/08/11 18:08:39 - mmengine - INFO - Epoch(val) [10][3300/6282] eta: 0:03:11 time: 0.0642 data_time: 0.0049 memory: 809 2022/08/11 18:08:40 - mmengine - INFO - Epoch(val) [10][3320/6282] eta: 0:03:12 time: 0.0651 data_time: 0.0054 memory: 809 2022/08/11 18:08:42 - mmengine - INFO - Epoch(val) [10][3340/6282] eta: 0:03:07 time: 0.0636 data_time: 0.0041 memory: 809 2022/08/11 18:08:43 - mmengine - INFO - Epoch(val) [10][3360/6282] eta: 0:03:12 time: 0.0658 data_time: 0.0064 memory: 809 2022/08/11 18:08:44 - mmengine - INFO - Epoch(val) [10][3380/6282] eta: 0:02:58 time: 0.0614 data_time: 0.0043 memory: 809 2022/08/11 18:08:45 - mmengine - INFO - Epoch(val) [10][3400/6282] eta: 0:02:33 time: 0.0532 data_time: 0.0052 memory: 738 2022/08/11 18:08:46 - mmengine - INFO - Epoch(val) [10][3420/6282] eta: 0:02:26 time: 0.0511 data_time: 0.0049 memory: 738 2022/08/11 18:08:47 - mmengine - INFO - Epoch(val) [10][3440/6282] eta: 0:02:25 time: 0.0513 data_time: 0.0041 memory: 738 2022/08/11 18:08:48 - mmengine - INFO - Epoch(val) [10][3460/6282] eta: 0:02:25 time: 0.0516 data_time: 0.0038 memory: 738 2022/08/11 18:08:49 - mmengine - INFO - Epoch(val) [10][3480/6282] eta: 0:02:19 time: 0.0498 data_time: 0.0040 memory: 738 2022/08/11 18:08:51 - mmengine - INFO - Epoch(val) [10][3500/6282] eta: 0:02:29 time: 0.0538 data_time: 0.0044 memory: 738 2022/08/11 18:08:52 - mmengine - INFO - Epoch(val) [10][3520/6282] eta: 0:02:29 time: 0.0541 data_time: 0.0048 memory: 738 2022/08/11 18:08:53 - mmengine - INFO - Epoch(val) [10][3540/6282] eta: 0:02:31 time: 0.0553 data_time: 0.0042 memory: 738 2022/08/11 18:08:54 - mmengine - INFO - Epoch(val) [10][3560/6282] eta: 0:02:29 time: 0.0548 data_time: 0.0045 memory: 738 2022/08/11 18:08:55 - mmengine - INFO - Epoch(val) [10][3580/6282] eta: 0:02:26 time: 0.0544 data_time: 0.0045 memory: 789 2022/08/11 18:08:56 - mmengine - INFO - Epoch(val) [10][3600/6282] eta: 0:02:38 time: 0.0592 data_time: 0.0051 memory: 789 2022/08/11 18:08:57 - mmengine - INFO - Epoch(val) [10][3620/6282] eta: 0:02:45 time: 0.0623 data_time: 0.0057 memory: 789 2022/08/11 18:08:59 - mmengine - INFO - Epoch(val) [10][3640/6282] eta: 0:02:54 time: 0.0661 data_time: 0.0069 memory: 789 2022/08/11 18:09:00 - mmengine - INFO - Epoch(val) [10][3660/6282] eta: 0:02:46 time: 0.0634 data_time: 0.0049 memory: 789 2022/08/11 18:09:01 - mmengine - INFO - Epoch(val) [10][3680/6282] eta: 0:02:50 time: 0.0656 data_time: 0.0064 memory: 809 2022/08/11 18:09:03 - mmengine - INFO - Epoch(val) [10][3700/6282] eta: 0:04:17 time: 0.0998 data_time: 0.0370 memory: 809 2022/08/11 18:09:05 - mmengine - INFO - Epoch(val) [10][3720/6282] eta: 0:03:49 time: 0.0897 data_time: 0.0274 memory: 809 2022/08/11 18:09:07 - mmengine - INFO - Epoch(val) [10][3740/6282] eta: 0:03:45 time: 0.0886 data_time: 0.0287 memory: 809 2022/08/11 18:09:09 - mmengine - INFO - Epoch(val) [10][3760/6282] eta: 0:03:42 time: 0.0883 data_time: 0.0233 memory: 809 2022/08/11 18:09:10 - mmengine - INFO - Epoch(val) [10][3780/6282] eta: 0:03:38 time: 0.0873 data_time: 0.0242 memory: 809 2022/08/11 18:09:12 - mmengine - INFO - Epoch(val) [10][3800/6282] eta: 0:03:54 time: 0.0946 data_time: 0.0286 memory: 809 2022/08/11 18:09:15 - mmengine - INFO - Epoch(val) [10][3820/6282] eta: 0:06:19 time: 0.1541 data_time: 0.0985 memory: 809 2022/08/11 18:09:18 - mmengine - INFO - Epoch(val) [10][3840/6282] eta: 0:04:55 time: 0.1209 data_time: 0.0612 memory: 809 2022/08/11 18:09:19 - mmengine - INFO - Epoch(val) [10][3860/6282] eta: 0:02:50 time: 0.0705 data_time: 0.0127 memory: 809 2022/08/11 18:09:21 - mmengine - INFO - Epoch(val) [10][3880/6282] eta: 0:03:08 time: 0.0783 data_time: 0.0206 memory: 809 2022/08/11 18:09:22 - mmengine - INFO - Epoch(val) [10][3900/6282] eta: 0:03:08 time: 0.0791 data_time: 0.0161 memory: 809 2022/08/11 18:09:24 - mmengine - INFO - Epoch(val) [10][3920/6282] eta: 0:03:29 time: 0.0887 data_time: 0.0131 memory: 809 2022/08/11 18:09:26 - mmengine - INFO - Epoch(val) [10][3940/6282] eta: 0:02:31 time: 0.0647 data_time: 0.0048 memory: 809 2022/08/11 18:09:27 - mmengine - INFO - Epoch(val) [10][3960/6282] eta: 0:02:26 time: 0.0630 data_time: 0.0053 memory: 809 2022/08/11 18:09:28 - mmengine - INFO - Epoch(val) [10][3980/6282] eta: 0:02:24 time: 0.0628 data_time: 0.0048 memory: 809 2022/08/11 18:09:29 - mmengine - INFO - Epoch(val) [10][4000/6282] eta: 0:02:23 time: 0.0628 data_time: 0.0051 memory: 809 2022/08/11 18:09:31 - mmengine - INFO - Epoch(val) [10][4020/6282] eta: 0:02:17 time: 0.0608 data_time: 0.0045 memory: 809 2022/08/11 18:09:32 - mmengine - INFO - Epoch(val) [10][4040/6282] eta: 0:02:22 time: 0.0635 data_time: 0.0041 memory: 902 2022/08/11 18:09:33 - mmengine - INFO - Epoch(val) [10][4060/6282] eta: 0:02:42 time: 0.0729 data_time: 0.0062 memory: 902 2022/08/11 18:09:35 - mmengine - INFO - Epoch(val) [10][4080/6282] eta: 0:02:38 time: 0.0719 data_time: 0.0055 memory: 902 2022/08/11 18:09:36 - mmengine - INFO - Epoch(val) [10][4100/6282] eta: 0:02:36 time: 0.0715 data_time: 0.0051 memory: 902 2022/08/11 18:09:38 - mmengine - INFO - Epoch(val) [10][4120/6282] eta: 0:03:01 time: 0.0838 data_time: 0.0052 memory: 902 2022/08/11 18:09:39 - mmengine - INFO - Epoch(val) [10][4140/6282] eta: 0:02:30 time: 0.0702 data_time: 0.0058 memory: 902 2022/08/11 18:09:40 - mmengine - INFO - Epoch(val) [10][4160/6282] eta: 0:01:59 time: 0.0564 data_time: 0.0045 memory: 738 2022/08/11 18:09:42 - mmengine - INFO - Epoch(val) [10][4180/6282] eta: 0:01:53 time: 0.0538 data_time: 0.0053 memory: 738 2022/08/11 18:09:43 - mmengine - INFO - Epoch(val) [10][4200/6282] eta: 0:01:52 time: 0.0541 data_time: 0.0056 memory: 738 2022/08/11 18:09:44 - mmengine - INFO - Epoch(val) [10][4220/6282] eta: 0:01:47 time: 0.0521 data_time: 0.0050 memory: 738 2022/08/11 18:09:45 - mmengine - INFO - Epoch(val) [10][4240/6282] eta: 0:01:46 time: 0.0522 data_time: 0.0046 memory: 738 2022/08/11 18:09:46 - mmengine - INFO - Epoch(val) [10][4260/6282] eta: 0:01:54 time: 0.0565 data_time: 0.0055 memory: 736 2022/08/11 18:09:47 - mmengine - INFO - Epoch(val) [10][4280/6282] eta: 0:01:46 time: 0.0533 data_time: 0.0047 memory: 736 2022/08/11 18:09:48 - mmengine - INFO - Epoch(val) [10][4300/6282] eta: 0:01:56 time: 0.0586 data_time: 0.0044 memory: 736 2022/08/11 18:09:49 - mmengine - INFO - Epoch(val) [10][4320/6282] eta: 0:01:40 time: 0.0510 data_time: 0.0038 memory: 736 2022/08/11 18:09:55 - mmengine - INFO - Epoch(val) [10][4340/6282] eta: 0:08:53 time: 0.2745 data_time: 0.2226 memory: 736 2022/08/11 18:09:56 - mmengine - INFO - Epoch(val) [10][4360/6282] eta: 0:02:04 time: 0.0648 data_time: 0.0065 memory: 809 2022/08/11 18:09:57 - mmengine - INFO - Epoch(val) [10][4380/6282] eta: 0:01:59 time: 0.0630 data_time: 0.0047 memory: 809 2022/08/11 18:09:58 - mmengine - INFO - Epoch(val) [10][4400/6282] eta: 0:01:54 time: 0.0611 data_time: 0.0043 memory: 809 2022/08/11 18:10:00 - mmengine - INFO - Epoch(val) [10][4420/6282] eta: 0:02:02 time: 0.0659 data_time: 0.0052 memory: 809 2022/08/11 18:10:01 - mmengine - INFO - Epoch(val) [10][4440/6282] eta: 0:02:09 time: 0.0702 data_time: 0.0051 memory: 816 2022/08/11 18:10:03 - mmengine - INFO - Epoch(val) [10][4460/6282] eta: 0:02:04 time: 0.0685 data_time: 0.0055 memory: 816 2022/08/11 18:10:04 - mmengine - INFO - Epoch(val) [10][4480/6282] eta: 0:01:59 time: 0.0664 data_time: 0.0056 memory: 816 2022/08/11 18:10:05 - mmengine - INFO - Epoch(val) [10][4500/6282] eta: 0:01:56 time: 0.0656 data_time: 0.0061 memory: 816 2022/08/11 18:10:07 - mmengine - INFO - Epoch(val) [10][4520/6282] eta: 0:01:50 time: 0.0627 data_time: 0.0048 memory: 816 2022/08/11 18:10:08 - mmengine - INFO - Epoch(val) [10][4540/6282] eta: 0:01:38 time: 0.0564 data_time: 0.0054 memory: 743 2022/08/11 18:10:09 - mmengine - INFO - Epoch(val) [10][4560/6282] eta: 0:01:32 time: 0.0539 data_time: 0.0044 memory: 743 2022/08/11 18:10:10 - mmengine - INFO - Epoch(val) [10][4580/6282] eta: 0:01:47 time: 0.0632 data_time: 0.0046 memory: 743 2022/08/11 18:10:11 - mmengine - INFO - Epoch(val) [10][4600/6282] eta: 0:01:32 time: 0.0551 data_time: 0.0052 memory: 743 2022/08/11 18:10:12 - mmengine - INFO - Epoch(val) [10][4620/6282] eta: 0:01:30 time: 0.0546 data_time: 0.0052 memory: 743 2022/08/11 18:10:13 - mmengine - INFO - Epoch(val) [10][4640/6282] eta: 0:01:40 time: 0.0613 data_time: 0.0054 memory: 816 2022/08/11 18:10:15 - mmengine - INFO - Epoch(val) [10][4660/6282] eta: 0:01:40 time: 0.0618 data_time: 0.0046 memory: 816 2022/08/11 18:10:16 - mmengine - INFO - Epoch(val) [10][4680/6282] eta: 0:01:38 time: 0.0616 data_time: 0.0043 memory: 816 2022/08/11 18:10:17 - mmengine - INFO - Epoch(val) [10][4700/6282] eta: 0:01:45 time: 0.0666 data_time: 0.0047 memory: 816 2022/08/11 18:10:19 - mmengine - INFO - Epoch(val) [10][4720/6282] eta: 0:01:42 time: 0.0656 data_time: 0.0041 memory: 816 2022/08/11 18:10:20 - mmengine - INFO - Epoch(val) [10][4740/6282] eta: 0:02:07 time: 0.0824 data_time: 0.0239 memory: 768 2022/08/11 18:10:22 - mmengine - INFO - Epoch(val) [10][4760/6282] eta: 0:02:28 time: 0.0974 data_time: 0.0492 memory: 768 2022/08/11 18:10:23 - mmengine - INFO - Epoch(val) [10][4780/6282] eta: 0:01:28 time: 0.0591 data_time: 0.0128 memory: 768 2022/08/11 18:10:25 - mmengine - INFO - Epoch(val) [10][4800/6282] eta: 0:01:48 time: 0.0730 data_time: 0.0261 memory: 768 2022/08/11 18:10:26 - mmengine - INFO - Epoch(val) [10][4820/6282] eta: 0:01:16 time: 0.0521 data_time: 0.0032 memory: 809 2022/08/11 18:10:27 - mmengine - INFO - Epoch(val) [10][4840/6282] eta: 0:01:21 time: 0.0566 data_time: 0.0035 memory: 809 2022/08/11 18:10:28 - mmengine - INFO - Epoch(val) [10][4860/6282] eta: 0:01:32 time: 0.0652 data_time: 0.0059 memory: 809 2022/08/11 18:10:30 - mmengine - INFO - Epoch(val) [10][4880/6282] eta: 0:01:29 time: 0.0637 data_time: 0.0062 memory: 809 2022/08/11 18:10:31 - mmengine - INFO - Epoch(val) [10][4900/6282] eta: 0:01:26 time: 0.0629 data_time: 0.0047 memory: 809 2022/08/11 18:10:33 - mmengine - INFO - Epoch(val) [10][4920/6282] eta: 0:02:04 time: 0.0917 data_time: 0.0053 memory: 811 2022/08/11 18:10:34 - mmengine - INFO - Epoch(val) [10][4940/6282] eta: 0:01:29 time: 0.0667 data_time: 0.0052 memory: 811 2022/08/11 18:10:35 - mmengine - INFO - Epoch(val) [10][4960/6282] eta: 0:01:26 time: 0.0656 data_time: 0.0047 memory: 811 2022/08/11 18:10:37 - mmengine - INFO - Epoch(val) [10][4980/6282] eta: 0:01:26 time: 0.0664 data_time: 0.0051 memory: 811 2022/08/11 18:10:38 - mmengine - INFO - Epoch(val) [10][5000/6282] eta: 0:01:23 time: 0.0653 data_time: 0.0054 memory: 811 2022/08/11 18:10:39 - mmengine - INFO - Epoch(val) [10][5020/6282] eta: 0:01:14 time: 0.0594 data_time: 0.0044 memory: 811 2022/08/11 18:10:41 - mmengine - INFO - Epoch(val) [10][5040/6282] eta: 0:01:14 time: 0.0602 data_time: 0.0047 memory: 743 2022/08/11 18:10:42 - mmengine - INFO - Epoch(val) [10][5060/6282] eta: 0:01:06 time: 0.0547 data_time: 0.0050 memory: 743 2022/08/11 18:10:43 - mmengine - INFO - Epoch(val) [10][5080/6282] eta: 0:01:10 time: 0.0586 data_time: 0.0065 memory: 743 2022/08/11 18:10:44 - mmengine - INFO - Epoch(val) [10][5100/6282] eta: 0:01:07 time: 0.0572 data_time: 0.0056 memory: 743 2022/08/11 18:10:45 - mmengine - INFO - Epoch(val) [10][5120/6282] eta: 0:01:06 time: 0.0575 data_time: 0.0061 memory: 743 2022/08/11 18:10:46 - mmengine - INFO - Epoch(val) [10][5140/6282] eta: 0:01:01 time: 0.0538 data_time: 0.0050 memory: 738 2022/08/11 18:10:47 - mmengine - INFO - Epoch(val) [10][5160/6282] eta: 0:01:04 time: 0.0572 data_time: 0.0052 memory: 738 2022/08/11 18:10:48 - mmengine - INFO - Epoch(val) [10][5180/6282] eta: 0:01:00 time: 0.0547 data_time: 0.0041 memory: 738 2022/08/11 18:10:50 - mmengine - INFO - Epoch(val) [10][5200/6282] eta: 0:01:01 time: 0.0571 data_time: 0.0062 memory: 738 2022/08/11 18:10:51 - mmengine - INFO - Epoch(val) [10][5220/6282] eta: 0:01:00 time: 0.0570 data_time: 0.0050 memory: 738 2022/08/11 18:10:52 - mmengine - INFO - Epoch(val) [10][5240/6282] eta: 0:00:58 time: 0.0557 data_time: 0.0043 memory: 736 2022/08/11 18:10:54 - mmengine - INFO - Epoch(val) [10][5260/6282] eta: 0:01:23 time: 0.0815 data_time: 0.0061 memory: 736 2022/08/11 18:10:55 - mmengine - INFO - Epoch(val) [10][5280/6282] eta: 0:00:56 time: 0.0567 data_time: 0.0062 memory: 736 2022/08/11 18:10:56 - mmengine - INFO - Epoch(val) [10][5300/6282] eta: 0:00:53 time: 0.0547 data_time: 0.0047 memory: 736 2022/08/11 18:10:57 - mmengine - INFO - Epoch(val) [10][5320/6282] eta: 0:00:51 time: 0.0540 data_time: 0.0056 memory: 738 2022/08/11 18:10:58 - mmengine - INFO - Epoch(val) [10][5340/6282] eta: 0:00:52 time: 0.0553 data_time: 0.0055 memory: 738 2022/08/11 18:10:59 - mmengine - INFO - Epoch(val) [10][5360/6282] eta: 0:00:52 time: 0.0569 data_time: 0.0055 memory: 738 2022/08/11 18:11:00 - mmengine - INFO - Epoch(val) [10][5380/6282] eta: 0:00:49 time: 0.0544 data_time: 0.0045 memory: 738 2022/08/11 18:11:01 - mmengine - INFO - Epoch(val) [10][5400/6282] eta: 0:00:49 time: 0.0565 data_time: 0.0056 memory: 738 2022/08/11 18:11:02 - mmengine - INFO - Epoch(val) [10][5420/6282] eta: 0:00:49 time: 0.0572 data_time: 0.0052 memory: 738 2022/08/11 18:11:04 - mmengine - INFO - Epoch(val) [10][5440/6282] eta: 0:00:47 time: 0.0563 data_time: 0.0056 memory: 738 2022/08/11 18:11:05 - mmengine - INFO - Epoch(val) [10][5460/6282] eta: 0:00:44 time: 0.0544 data_time: 0.0044 memory: 738 2022/08/11 18:11:06 - mmengine - INFO - Epoch(val) [10][5480/6282] eta: 0:00:42 time: 0.0529 data_time: 0.0049 memory: 738 2022/08/11 18:11:07 - mmengine - INFO - Epoch(val) [10][5500/6282] eta: 0:00:42 time: 0.0538 data_time: 0.0044 memory: 738 2022/08/11 18:11:08 - mmengine - INFO - Epoch(val) [10][5520/6282] eta: 0:00:42 time: 0.0562 data_time: 0.0055 memory: 763 2022/08/11 18:11:09 - mmengine - INFO - Epoch(val) [10][5540/6282] eta: 0:00:43 time: 0.0589 data_time: 0.0051 memory: 763 2022/08/11 18:11:10 - mmengine - INFO - Epoch(val) [10][5560/6282] eta: 0:00:42 time: 0.0584 data_time: 0.0049 memory: 763 2022/08/11 18:11:12 - mmengine - INFO - Epoch(val) [10][5580/6282] eta: 0:00:41 time: 0.0589 data_time: 0.0062 memory: 763 2022/08/11 18:11:13 - mmengine - INFO - Epoch(val) [10][5600/6282] eta: 0:00:53 time: 0.0786 data_time: 0.0040 memory: 763 2022/08/11 18:11:14 - mmengine - INFO - Epoch(val) [10][5620/6282] eta: 0:00:35 time: 0.0541 data_time: 0.0044 memory: 763 2022/08/11 18:11:15 - mmengine - INFO - Epoch(val) [10][5640/6282] eta: 0:00:34 time: 0.0541 data_time: 0.0044 memory: 738 2022/08/11 18:11:16 - mmengine - INFO - Epoch(val) [10][5660/6282] eta: 0:00:33 time: 0.0538 data_time: 0.0043 memory: 738 2022/08/11 18:11:17 - mmengine - INFO - Epoch(val) [10][5680/6282] eta: 0:00:31 time: 0.0528 data_time: 0.0047 memory: 738 2022/08/11 18:11:19 - mmengine - INFO - Epoch(val) [10][5700/6282] eta: 0:00:31 time: 0.0535 data_time: 0.0065 memory: 738 2022/08/11 18:11:20 - mmengine - INFO - Epoch(val) [10][5720/6282] eta: 0:00:31 time: 0.0560 data_time: 0.0045 memory: 780 2022/08/11 18:11:21 - mmengine - INFO - Epoch(val) [10][5740/6282] eta: 0:00:30 time: 0.0559 data_time: 0.0046 memory: 780 2022/08/11 18:11:22 - mmengine - INFO - Epoch(val) [10][5760/6282] eta: 0:00:29 time: 0.0574 data_time: 0.0056 memory: 780 2022/08/11 18:11:23 - mmengine - INFO - Epoch(val) [10][5780/6282] eta: 0:00:31 time: 0.0629 data_time: 0.0048 memory: 780 2022/08/11 18:11:25 - mmengine - INFO - Epoch(val) [10][5800/6282] eta: 0:00:41 time: 0.0858 data_time: 0.0060 memory: 780 2022/08/11 18:11:26 - mmengine - INFO - Epoch(val) [10][5820/6282] eta: 0:00:27 time: 0.0605 data_time: 0.0061 memory: 780 2022/08/11 18:11:27 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:26 time: 0.0601 data_time: 0.0059 memory: 763 2022/08/11 18:11:29 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:25 time: 0.0598 data_time: 0.0062 memory: 763 2022/08/11 18:11:30 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:22 time: 0.0550 data_time: 0.0048 memory: 763 2022/08/11 18:11:31 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:22 time: 0.0576 data_time: 0.0044 memory: 763 2022/08/11 18:11:32 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:20 time: 0.0566 data_time: 0.0051 memory: 763 2022/08/11 18:11:33 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:19 time: 0.0558 data_time: 0.0039 memory: 738 2022/08/11 18:11:34 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:17 time: 0.0529 data_time: 0.0042 memory: 738 2022/08/11 18:11:35 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:16 time: 0.0555 data_time: 0.0043 memory: 738 2022/08/11 18:11:37 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:18 time: 0.0646 data_time: 0.0061 memory: 809 2022/08/11 18:11:38 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:17 time: 0.0656 data_time: 0.0055 memory: 809 2022/08/11 18:11:39 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:16 time: 0.0665 data_time: 0.0063 memory: 809 2022/08/11 18:11:41 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:14 time: 0.0665 data_time: 0.0062 memory: 809 2022/08/11 18:11:43 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:22 time: 0.1096 data_time: 0.0337 memory: 809 2022/08/11 18:11:44 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:14 time: 0.0824 data_time: 0.0310 memory: 809 2022/08/11 18:11:46 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:16 time: 0.1018 data_time: 0.0498 memory: 809 2022/08/11 18:11:48 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:08 time: 0.0570 data_time: 0.0037 memory: 809 2022/08/11 18:11:49 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:06 time: 0.0544 data_time: 0.0029 memory: 809 2022/08/11 18:11:50 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:05 time: 0.0553 data_time: 0.0037 memory: 809 2022/08/11 18:11:51 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:04 time: 0.0537 data_time: 0.0029 memory: 809 2022/08/11 18:11:52 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:03 time: 0.0550 data_time: 0.0031 memory: 809 2022/08/11 18:11:53 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:02 time: 0.0578 data_time: 0.0031 memory: 809 2022/08/11 18:11:54 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:01 time: 0.0539 data_time: 0.0032 memory: 809 2022/08/11 18:11:55 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0541 data_time: 0.0030 memory: 809 2022/08/11 18:17:12 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.2658