2022/08/10 13:52:05 - mmengine - INFO - 184378 out of 184378 frames are valid. 2022/08/10 13:52:18 - 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 2022/08/10 13:52:21 - 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 2022/08/10 13:52:21 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/ava_slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb by HardDiskBackend. 2022/08/10 13:53:49 - mmengine - INFO - Epoch(train) [1][20/3842] lr: 7.6669e-03 eta: 1 day, 22:53:43 time: 4.3964 data_time: 2.7130 memory: 46558 grad_norm: 0.9990 recall@thr=0.5: 0.3598 prec@thr=0.5: 0.5038 recall@top3: 0.6326 prec@top3: 0.5606 recall@top5: 0.9015 prec@top5: 0.4909 loss_action_cls: 0.2028 loss: 0.2028 2022/08/10 13:53:59 - mmengine - INFO - Epoch(train) [1][40/3842] lr: 7.8426e-03 eta: 1 day, 2:14:11 time: 0.5255 data_time: 0.0259 memory: 10484 grad_norm: 0.3226 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.6250 recall@top3: 0.5677 prec@top3: 0.5833 recall@top5: 0.8958 prec@top5: 0.5000 loss_action_cls: 0.1056 loss: 0.1056 2022/08/10 13:54:10 - mmengine - INFO - Epoch(train) [1][60/3842] lr: 8.0184e-03 eta: 19:20:43 time: 0.5247 data_time: 0.0166 memory: 10484 grad_norm: 0.2719 recall@thr=0.5: 0.2863 prec@thr=0.5: 0.5588 recall@top3: 0.4078 prec@top3: 0.4118 recall@top5: 0.8069 prec@top5: 0.4706 loss_action_cls: 0.1251 loss: 0.1251 2022/08/10 13:54:20 - mmengine - INFO - Epoch(train) [1][80/3842] lr: 8.1941e-03 eta: 15:49:32 time: 0.4974 data_time: 0.0155 memory: 10484 grad_norm: 0.2838 recall@thr=0.5: 0.2807 prec@thr=0.5: 0.2807 recall@top3: 0.6842 prec@top3: 0.5088 recall@top5: 0.9474 prec@top5: 0.4105 loss_action_cls: 0.0895 loss: 0.0895 2022/08/10 13:54:31 - mmengine - INFO - Epoch(train) [1][100/3842] lr: 8.3698e-03 eta: 13:49:24 time: 0.5493 data_time: 0.0160 memory: 10484 grad_norm: 0.2560 recall@thr=0.5: 0.2628 prec@thr=0.5: 0.3077 recall@top3: 0.3269 prec@top3: 0.2821 recall@top5: 0.6410 prec@top5: 0.3077 loss_action_cls: 0.0855 loss: 0.0855 2022/08/10 13:54:41 - mmengine - INFO - Epoch(train) [1][120/3842] lr: 8.5455e-03 eta: 12:24:35 time: 0.5054 data_time: 0.0174 memory: 10484 grad_norm: 0.2473 recall@thr=0.5: 0.5647 prec@thr=0.5: 0.5490 recall@top3: 0.7961 prec@top3: 0.5490 recall@top5: 0.8745 prec@top5: 0.3529 loss_action_cls: 0.0995 loss: 0.0995 2022/08/10 13:54:51 - mmengine - INFO - Epoch(train) [1][140/3842] lr: 8.7212e-03 eta: 11:26:03 time: 0.5286 data_time: 0.0167 memory: 10484 grad_norm: 0.2456 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6228 recall@top3: 0.8289 prec@top3: 0.5965 recall@top5: 0.9342 prec@top5: 0.4105 loss_action_cls: 0.0921 loss: 0.0921 2022/08/10 13:55:02 - mmengine - INFO - Epoch(train) [1][160/3842] lr: 8.8969e-03 eta: 10:41:06 time: 0.5159 data_time: 0.0162 memory: 10484 grad_norm: 0.2545 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.3333 recall@top3: 0.7546 prec@top3: 0.5185 recall@top5: 0.8843 prec@top5: 0.3778 loss_action_cls: 0.1021 loss: 0.1021 2022/08/10 13:55:12 - mmengine - INFO - Epoch(train) [1][180/3842] lr: 9.0726e-03 eta: 10:08:11 time: 0.5452 data_time: 0.0157 memory: 10484 grad_norm: 0.2574 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7255 recall@top3: 0.6863 prec@top3: 0.4706 recall@top5: 0.7696 prec@top5: 0.3412 loss_action_cls: 0.0985 loss: 0.0985 2022/08/10 13:55:23 - mmengine - INFO - Epoch(train) [1][200/3842] lr: 9.2483e-03 eta: 9:39:14 time: 0.5049 data_time: 0.0166 memory: 10484 grad_norm: 0.2308 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.5705 recall@top3: 0.7436 prec@top3: 0.6667 recall@top5: 0.9359 prec@top5: 0.4923 loss_action_cls: 0.0967 loss: 0.0967 2022/08/10 13:55:33 - mmengine - INFO - Epoch(train) [1][220/3842] lr: 9.4241e-03 eta: 9:16:33 time: 0.5225 data_time: 0.0156 memory: 10484 grad_norm: 0.2347 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.7222 recall@top3: 0.6944 prec@top3: 0.6000 recall@top5: 0.8611 prec@top5: 0.4667 loss_action_cls: 0.0995 loss: 0.0995 2022/08/10 13:55:43 - mmengine - INFO - Epoch(train) [1][240/3842] lr: 9.5998e-03 eta: 8:57:40 time: 0.5238 data_time: 0.0161 memory: 10484 grad_norm: 0.2381 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7745 recall@top3: 0.7500 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.4471 loss_action_cls: 0.0966 loss: 0.0966 2022/08/10 13:55:54 - mmengine - INFO - Epoch(train) [1][260/3842] lr: 9.7755e-03 eta: 8:41:22 time: 0.5174 data_time: 0.0174 memory: 10484 grad_norm: 0.2331 recall@thr=0.5: 0.3860 prec@thr=0.5: 0.5088 recall@top3: 0.7807 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0920 loss: 0.0920 2022/08/10 13:56:04 - mmengine - INFO - Epoch(train) [1][280/3842] lr: 9.9512e-03 eta: 8:27:41 time: 0.5245 data_time: 0.0169 memory: 10484 grad_norm: 0.2298 recall@thr=0.5: 0.3724 prec@thr=0.5: 0.4679 recall@top3: 0.6506 prec@top3: 0.5769 recall@top5: 0.9141 prec@top5: 0.4846 loss_action_cls: 0.0939 loss: 0.0939 2022/08/10 13:56:14 - mmengine - INFO - Epoch(train) [1][300/3842] lr: 1.0127e-02 eta: 8:14:47 time: 0.5002 data_time: 0.0170 memory: 10484 grad_norm: 0.2468 recall@thr=0.5: 0.2368 prec@thr=0.5: 0.3509 recall@top3: 0.5965 prec@top3: 0.5439 recall@top5: 0.7544 prec@top5: 0.4316 loss_action_cls: 0.1064 loss: 0.1064 2022/08/10 13:56:25 - mmengine - INFO - Epoch(train) [1][320/3842] lr: 1.0303e-02 eta: 8:04:26 time: 0.5247 data_time: 0.0163 memory: 10484 grad_norm: 0.2273 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.7273 recall@top3: 0.6818 prec@top3: 0.5758 recall@top5: 0.9697 prec@top5: 0.4727 loss_action_cls: 0.1030 loss: 0.1030 2022/08/10 13:56:35 - mmengine - INFO - Epoch(train) [1][340/3842] lr: 1.0478e-02 eta: 7:54:24 time: 0.5012 data_time: 0.0161 memory: 10484 grad_norm: 0.2322 recall@thr=0.5: 0.5602 prec@thr=0.5: 0.6111 recall@top3: 0.6111 prec@top3: 0.5370 recall@top5: 0.8241 prec@top5: 0.4444 loss_action_cls: 0.0892 loss: 0.0892 2022/08/10 13:56:46 - mmengine - INFO - Epoch(train) [1][360/3842] lr: 1.0654e-02 eta: 7:46:49 time: 0.5390 data_time: 0.0181 memory: 10484 grad_norm: 0.2430 recall@thr=0.5: 0.3480 prec@thr=0.5: 0.6716 recall@top3: 0.7353 prec@top3: 0.6471 recall@top5: 0.8824 prec@top5: 0.4941 loss_action_cls: 0.0830 loss: 0.0830 2022/08/10 13:56:56 - mmengine - INFO - Epoch(train) [1][380/3842] lr: 1.0830e-02 eta: 7:38:51 time: 0.5047 data_time: 0.0208 memory: 10484 grad_norm: 0.2276 recall@thr=0.5: 0.3745 prec@thr=0.5: 0.5196 recall@top3: 0.4824 prec@top3: 0.4118 recall@top5: 0.6725 prec@top5: 0.3529 loss_action_cls: 0.1002 loss: 0.1002 2022/08/10 13:57:06 - mmengine - INFO - Epoch(train) [1][400/3842] lr: 1.1005e-02 eta: 7:32:34 time: 0.5329 data_time: 0.0183 memory: 10484 grad_norm: 0.2406 recall@thr=0.5: 0.4545 prec@thr=0.5: 0.6515 recall@top3: 0.8030 prec@top3: 0.6061 recall@top5: 0.8939 prec@top5: 0.4182 loss_action_cls: 0.0943 loss: 0.0943 2022/08/10 13:57:16 - mmengine - INFO - Epoch(train) [1][420/3842] lr: 1.1181e-02 eta: 7:26:03 time: 0.5063 data_time: 0.0159 memory: 10484 grad_norm: 0.2354 recall@thr=0.5: 0.3377 prec@thr=0.5: 0.7368 recall@top3: 0.6754 prec@top3: 0.6140 recall@top5: 0.8377 prec@top5: 0.4632 loss_action_cls: 0.0958 loss: 0.0958 2022/08/10 13:57:27 - mmengine - INFO - Epoch(train) [1][440/3842] lr: 1.1357e-02 eta: 7:21:11 time: 0.5433 data_time: 0.0173 memory: 10484 grad_norm: 0.2467 recall@thr=0.5: 0.4059 prec@thr=0.5: 0.8039 recall@top3: 0.7412 prec@top3: 0.8824 recall@top5: 0.8804 prec@top5: 0.6353 loss_action_cls: 0.0921 loss: 0.0921 2022/08/10 13:57:38 - mmengine - INFO - Epoch(train) [1][460/3842] lr: 1.1533e-02 eta: 7:15:49 time: 0.5100 data_time: 0.0169 memory: 10484 grad_norm: 0.2376 recall@thr=0.5: 0.4242 prec@thr=0.5: 0.6364 recall@top3: 0.5606 prec@top3: 0.3636 recall@top5: 0.6212 prec@top5: 0.2545 loss_action_cls: 0.0892 loss: 0.0892 2022/08/10 13:57:48 - mmengine - INFO - Epoch(train) [1][480/3842] lr: 1.1708e-02 eta: 7:11:41 time: 0.5411 data_time: 0.0177 memory: 10484 grad_norm: 0.2296 recall@thr=0.5: 0.3889 prec@thr=0.5: 0.5463 recall@top3: 0.6667 prec@top3: 0.5741 recall@top5: 0.8796 prec@top5: 0.4667 loss_action_cls: 0.0781 loss: 0.0781 2022/08/10 13:57:59 - mmengine - INFO - Epoch(train) [1][500/3842] lr: 1.1884e-02 eta: 7:07:04 time: 0.5085 data_time: 0.0172 memory: 10484 grad_norm: 0.2480 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.7549 recall@top3: 0.6225 prec@top3: 0.5686 recall@top5: 0.8922 prec@top5: 0.4471 loss_action_cls: 0.0690 loss: 0.0690 2022/08/10 13:58:09 - mmengine - INFO - Epoch(train) [1][520/3842] lr: 1.2060e-02 eta: 7:03:11 time: 0.5256 data_time: 0.0169 memory: 10484 grad_norm: 0.2609 recall@thr=0.5: 0.5052 prec@thr=0.5: 0.6875 recall@top3: 0.6604 prec@top3: 0.6042 recall@top5: 0.8990 prec@top5: 0.5250 loss_action_cls: 0.0916 loss: 0.0916 2022/08/10 13:58:19 - mmengine - INFO - Epoch(train) [1][540/3842] lr: 1.2235e-02 eta: 6:59:09 time: 0.5072 data_time: 0.0173 memory: 10484 grad_norm: 0.2433 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.6765 recall@top3: 0.6275 prec@top3: 0.4706 recall@top5: 0.7157 prec@top5: 0.3059 loss_action_cls: 0.0979 loss: 0.0979 2022/08/10 13:58:30 - mmengine - INFO - Epoch(train) [1][560/3842] lr: 1.2411e-02 eta: 6:55:52 time: 0.5280 data_time: 0.0166 memory: 10484 grad_norm: 0.2225 recall@thr=0.5: 0.4679 prec@thr=0.5: 0.7500 recall@top3: 0.7083 prec@top3: 0.6154 recall@top5: 0.8910 prec@top5: 0.4692 loss_action_cls: 0.1031 loss: 0.1031 2022/08/10 13:58:40 - mmengine - INFO - Epoch(train) [1][580/3842] lr: 1.2587e-02 eta: 6:52:16 time: 0.5031 data_time: 0.0169 memory: 10484 grad_norm: 0.2154 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7460 recall@top3: 0.9841 prec@top3: 0.7143 recall@top5: 0.9841 prec@top5: 0.4286 loss_action_cls: 0.1035 loss: 0.1035 2022/08/10 13:58:50 - mmengine - INFO - Epoch(train) [1][600/3842] lr: 1.2763e-02 eta: 6:48:54 time: 0.5040 data_time: 0.0159 memory: 10484 grad_norm: 0.2371 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.4295 recall@top3: 0.5641 prec@top3: 0.4359 recall@top5: 0.7949 prec@top5: 0.3846 loss_action_cls: 0.1175 loss: 0.1175 2022/08/10 13:59:00 - mmengine - INFO - Epoch(train) [1][620/3842] lr: 1.2938e-02 eta: 6:45:45 time: 0.5042 data_time: 0.0171 memory: 10484 grad_norm: 0.2457 recall@thr=0.5: 0.3690 prec@thr=0.5: 0.6190 recall@top3: 0.7917 prec@top3: 0.6429 recall@top5: 0.9762 prec@top5: 0.4857 loss_action_cls: 0.0979 loss: 0.0979 2022/08/10 13:59:11 - mmengine - INFO - Epoch(train) [1][640/3842] lr: 1.3114e-02 eta: 6:43:39 time: 0.5483 data_time: 0.0152 memory: 10484 grad_norm: 0.2290 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.6222 recall@top3: 0.7000 prec@top3: 0.5556 recall@top5: 0.9000 prec@top5: 0.4533 loss_action_cls: 0.0878 loss: 0.0878 2022/08/10 13:59:21 - mmengine - INFO - Epoch(train) [1][660/3842] lr: 1.3290e-02 eta: 6:40:49 time: 0.5041 data_time: 0.0204 memory: 10484 grad_norm: 0.2293 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7667 recall@top3: 0.8083 prec@top3: 0.6333 recall@top5: 0.9208 prec@top5: 0.4400 loss_action_cls: 0.0866 loss: 0.0866 2022/08/10 13:59:32 - mmengine - INFO - Epoch(train) [1][680/3842] lr: 1.3465e-02 eta: 6:38:48 time: 0.5392 data_time: 0.0162 memory: 10484 grad_norm: 0.2125 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6923 recall@top3: 0.6282 prec@top3: 0.5641 recall@top5: 0.8205 prec@top5: 0.4462 loss_action_cls: 0.1016 loss: 0.1016 2022/08/10 13:59:42 - mmengine - INFO - Epoch(train) [1][700/3842] lr: 1.3641e-02 eta: 6:36:17 time: 0.5055 data_time: 0.0167 memory: 10484 grad_norm: 0.2265 recall@thr=0.5: 0.4615 prec@thr=0.5: 0.5256 recall@top3: 0.6635 prec@top3: 0.5513 recall@top5: 0.8173 prec@top5: 0.4154 loss_action_cls: 0.0910 loss: 0.0910 2022/08/10 13:59:52 - mmengine - INFO - Epoch(train) [1][720/3842] lr: 1.3817e-02 eta: 6:34:11 time: 0.5220 data_time: 0.0157 memory: 10484 grad_norm: 0.2498 recall@thr=0.5: 0.5824 prec@thr=0.5: 0.8241 recall@top3: 0.6907 prec@top3: 0.6667 recall@top5: 0.8667 prec@top5: 0.5000 loss_action_cls: 0.1123 loss: 0.1123 2022/08/10 14:00:03 - mmengine - INFO - Epoch(train) [1][740/3842] lr: 1.3993e-02 eta: 6:32:19 time: 0.5299 data_time: 0.0174 memory: 10484 grad_norm: 0.2357 recall@thr=0.5: 0.2348 prec@thr=0.5: 0.2727 recall@top3: 0.6894 prec@top3: 0.4848 recall@top5: 0.8939 prec@top5: 0.4000 loss_action_cls: 0.0894 loss: 0.0894 2022/08/10 14:00:14 - mmengine - INFO - Epoch(train) [1][760/3842] lr: 1.4168e-02 eta: 6:30:32 time: 0.5295 data_time: 0.0169 memory: 10484 grad_norm: 0.2674 recall@thr=0.5: 0.6631 prec@thr=0.5: 0.7083 recall@top3: 0.6798 prec@top3: 0.6071 recall@top5: 0.8548 prec@top5: 0.4714 loss_action_cls: 0.0821 loss: 0.0821 2022/08/10 14:00:24 - mmengine - INFO - Epoch(train) [1][780/3842] lr: 1.4344e-02 eta: 6:28:21 time: 0.4990 data_time: 0.0150 memory: 10484 grad_norm: 0.2294 recall@thr=0.5: 0.6524 prec@thr=0.5: 0.6952 recall@top3: 0.6952 prec@top3: 0.5714 recall@top5: 0.9190 prec@top5: 0.4476 loss_action_cls: 0.0851 loss: 0.0851 2022/08/10 14:00:34 - mmengine - INFO - Epoch(train) [1][800/3842] lr: 1.4520e-02 eta: 6:26:37 time: 0.5225 data_time: 0.0162 memory: 10484 grad_norm: 0.2396 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6875 recall@top3: 0.7812 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4875 loss_action_cls: 0.0915 loss: 0.0915 2022/08/10 14:00:44 - mmengine - INFO - Epoch(train) [1][820/3842] lr: 1.4695e-02 eta: 6:24:58 time: 0.5221 data_time: 0.0163 memory: 10484 grad_norm: 0.2469 recall@thr=0.5: 0.5605 prec@thr=0.5: 0.7105 recall@top3: 0.7702 prec@top3: 0.5965 recall@top5: 0.9096 prec@top5: 0.4421 loss_action_cls: 0.0861 loss: 0.0861 2022/08/10 14:00:55 - mmengine - INFO - Epoch(train) [1][840/3842] lr: 1.4871e-02 eta: 6:23:09 time: 0.5060 data_time: 0.0167 memory: 10484 grad_norm: 0.2116 recall@thr=0.5: 0.5283 prec@thr=0.5: 0.8333 recall@top3: 0.7433 prec@top3: 0.7333 recall@top5: 0.9250 prec@top5: 0.5700 loss_action_cls: 0.1079 loss: 0.1079 2022/08/10 14:01:05 - mmengine - INFO - Epoch(train) [1][860/3842] lr: 1.5047e-02 eta: 6:21:39 time: 0.5223 data_time: 0.0162 memory: 10484 grad_norm: 0.2264 recall@thr=0.5: 0.3260 prec@thr=0.5: 0.5208 recall@top3: 0.8000 prec@top3: 0.5625 recall@top5: 0.9052 prec@top5: 0.4125 loss_action_cls: 0.0938 loss: 0.0938 2022/08/10 14:01:15 - mmengine - INFO - Epoch(train) [1][880/3842] lr: 1.5223e-02 eta: 6:19:58 time: 0.5054 data_time: 0.0166 memory: 10484 grad_norm: 0.2192 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.6795 recall@top3: 0.7821 prec@top3: 0.5385 recall@top5: 0.8205 prec@top5: 0.3385 loss_action_cls: 0.0995 loss: 0.0995 2022/08/10 14:01:26 - mmengine - INFO - Epoch(train) [1][900/3842] lr: 1.5398e-02 eta: 6:18:36 time: 0.5234 data_time: 0.0165 memory: 10484 grad_norm: 0.2429 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.5897 recall@top3: 0.4872 prec@top3: 0.3846 recall@top5: 0.7051 prec@top5: 0.3231 loss_action_cls: 0.0826 loss: 0.0826 2022/08/10 14:01:36 - mmengine - INFO - Epoch(train) [1][920/3842] lr: 1.5574e-02 eta: 6:16:57 time: 0.4989 data_time: 0.0171 memory: 10484 grad_norm: 0.2636 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.7619 recall@top3: 0.7143 prec@top3: 0.6190 recall@top5: 0.9762 prec@top5: 0.5286 loss_action_cls: 0.0934 loss: 0.0934 2022/08/10 14:01:46 - mmengine - INFO - Epoch(train) [1][940/3842] lr: 1.5750e-02 eta: 6:15:43 time: 0.5264 data_time: 0.0133 memory: 10484 grad_norm: 0.2611 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.9091 recall@top3: 0.8485 prec@top3: 0.4848 recall@top5: 1.0000 prec@top5: 0.3636 loss_action_cls: 0.0834 loss: 0.0834 2022/08/10 14:01:56 - mmengine - INFO - Epoch(train) [1][960/3842] lr: 1.5925e-02 eta: 6:14:15 time: 0.5042 data_time: 0.0172 memory: 10484 grad_norm: 0.2249 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.9231 recall@top3: 0.7692 prec@top3: 0.6667 recall@top5: 0.9615 prec@top5: 0.5077 loss_action_cls: 0.0766 loss: 0.0766 2022/08/10 14:02:07 - mmengine - INFO - Epoch(train) [1][980/3842] lr: 1.6101e-02 eta: 6:13:07 time: 0.5253 data_time: 0.0161 memory: 10484 grad_norm: 0.2279 recall@thr=0.5: 0.5865 prec@thr=0.5: 0.8141 recall@top3: 0.7147 prec@top3: 0.6154 recall@top5: 0.8013 prec@top5: 0.4231 loss_action_cls: 0.0836 loss: 0.0836 2022/08/10 14:02:17 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 14:02:17 - mmengine - INFO - Epoch(train) [1][1000/3842] lr: 1.6277e-02 eta: 6:11:43 time: 0.5016 data_time: 0.0192 memory: 10484 grad_norm: 0.2173 recall@thr=0.5: 0.4744 prec@thr=0.5: 0.5000 recall@top3: 0.8205 prec@top3: 0.5128 recall@top5: 0.8846 prec@top5: 0.3385 loss_action_cls: 0.1002 loss: 0.1002 2022/08/10 14:02:27 - mmengine - INFO - Epoch(train) [1][1020/3842] lr: 1.6453e-02 eta: 6:10:37 time: 0.5227 data_time: 0.0173 memory: 10484 grad_norm: 0.2346 recall@thr=0.5: 0.2308 prec@thr=0.5: 0.3462 recall@top3: 0.6795 prec@top3: 0.4103 recall@top5: 1.0000 prec@top5: 0.3692 loss_action_cls: 0.0860 loss: 0.0860 2022/08/10 14:02:37 - mmengine - INFO - Epoch(train) [1][1040/3842] lr: 1.6628e-02 eta: 6:09:17 time: 0.4999 data_time: 0.0168 memory: 10484 grad_norm: 0.2310 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6458 recall@top3: 0.7604 prec@top3: 0.5208 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0785 loss: 0.0785 2022/08/10 14:02:48 - mmengine - INFO - Epoch(train) [1][1060/3842] lr: 1.6804e-02 eta: 6:08:17 time: 0.5250 data_time: 0.0133 memory: 10484 grad_norm: 0.2290 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.8014 recall@top3: 0.7246 prec@top3: 0.6232 recall@top5: 0.8732 prec@top5: 0.4783 loss_action_cls: 0.0890 loss: 0.0890 2022/08/10 14:02:58 - mmengine - INFO - Epoch(train) [1][1080/3842] lr: 1.6980e-02 eta: 6:07:07 time: 0.5062 data_time: 0.0167 memory: 10484 grad_norm: 0.2427 recall@thr=0.5: 0.6074 prec@thr=0.5: 0.7602 recall@top3: 0.7333 prec@top3: 0.7037 recall@top5: 0.9222 prec@top5: 0.5111 loss_action_cls: 0.0942 loss: 0.0942 2022/08/10 14:03:08 - mmengine - INFO - Epoch(train) [1][1100/3842] lr: 1.7155e-02 eta: 6:06:07 time: 0.5193 data_time: 0.0155 memory: 10484 grad_norm: 0.2573 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7000 recall@top3: 0.7056 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.5067 loss_action_cls: 0.0769 loss: 0.0769 2022/08/10 14:03:18 - mmengine - INFO - Epoch(train) [1][1120/3842] lr: 1.7331e-02 eta: 6:04:56 time: 0.4999 data_time: 0.0167 memory: 10484 grad_norm: 0.2558 recall@thr=0.5: 0.5242 prec@thr=0.5: 0.5312 recall@top3: 0.5484 prec@top3: 0.4516 recall@top5: 0.7796 prec@top5: 0.4065 loss_action_cls: 0.0954 loss: 0.0954 2022/08/10 14:03:29 - mmengine - INFO - Epoch(train) [1][1140/3842] lr: 1.7507e-02 eta: 6:04:03 time: 0.5240 data_time: 0.0133 memory: 10484 grad_norm: 0.2330 recall@thr=0.5: 0.8556 prec@thr=0.5: 0.7667 recall@top3: 0.9556 prec@top3: 0.5111 recall@top5: 1.0000 prec@top5: 0.3333 loss_action_cls: 0.0780 loss: 0.0780 2022/08/10 14:03:39 - mmengine - INFO - Epoch(train) [1][1160/3842] lr: 1.7683e-02 eta: 6:03:11 time: 0.5229 data_time: 0.0165 memory: 10484 grad_norm: 0.2467 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.8485 recall@top3: 0.8106 prec@top3: 0.7727 recall@top5: 0.9621 prec@top5: 0.5636 loss_action_cls: 0.0923 loss: 0.0923 2022/08/10 14:03:50 - mmengine - INFO - Epoch(train) [1][1180/3842] lr: 1.7858e-02 eta: 6:02:22 time: 0.5253 data_time: 0.0164 memory: 10484 grad_norm: 0.2146 recall@thr=0.5: 0.4225 prec@thr=0.5: 0.6083 recall@top3: 0.6450 prec@top3: 0.6000 recall@top5: 0.7858 prec@top5: 0.4600 loss_action_cls: 0.0912 loss: 0.0912 2022/08/10 14:04:00 - mmengine - INFO - Epoch(train) [1][1200/3842] lr: 1.8034e-02 eta: 6:01:19 time: 0.5022 data_time: 0.0183 memory: 10484 grad_norm: 0.2387 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6765 recall@top3: 0.6078 prec@top3: 0.5294 recall@top5: 0.8137 prec@top5: 0.4118 loss_action_cls: 0.0885 loss: 0.0885 2022/08/10 14:04:10 - mmengine - INFO - Epoch(train) [1][1220/3842] lr: 1.8210e-02 eta: 6:00:32 time: 0.5241 data_time: 0.0171 memory: 10484 grad_norm: 0.2410 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6778 recall@top3: 0.6389 prec@top3: 0.4667 recall@top5: 0.8556 prec@top5: 0.3867 loss_action_cls: 0.0813 loss: 0.0813 2022/08/10 14:04:21 - mmengine - INFO - Epoch(train) [1][1240/3842] lr: 1.8385e-02 eta: 6:00:01 time: 0.5495 data_time: 0.0172 memory: 10484 grad_norm: 0.2469 recall@thr=0.5: 0.4103 prec@thr=0.5: 0.6923 recall@top3: 0.4962 prec@top3: 0.5641 recall@top5: 0.7256 prec@top5: 0.4769 loss_action_cls: 0.1052 loss: 0.1052 2022/08/10 14:04:31 - mmengine - INFO - Epoch(train) [1][1260/3842] lr: 1.8561e-02 eta: 5:59:03 time: 0.5013 data_time: 0.0181 memory: 10484 grad_norm: 0.2333 recall@thr=0.5: 0.4676 prec@thr=0.5: 0.8009 recall@top3: 0.8009 prec@top3: 0.8704 recall@top5: 0.9074 prec@top5: 0.6000 loss_action_cls: 0.0820 loss: 0.0820 2022/08/10 14:04:42 - mmengine - INFO - Epoch(train) [1][1280/3842] lr: 1.8737e-02 eta: 5:58:21 time: 0.5273 data_time: 0.0167 memory: 10484 grad_norm: 0.2482 recall@thr=0.5: 0.5774 prec@thr=0.5: 0.6190 recall@top3: 0.7381 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.4857 loss_action_cls: 0.0875 loss: 0.0875 2022/08/10 14:04:52 - mmengine - INFO - Epoch(train) [1][1300/3842] lr: 1.8913e-02 eta: 5:57:32 time: 0.5150 data_time: 0.0167 memory: 10484 grad_norm: 0.2162 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7067 recall@top3: 0.6687 prec@top3: 0.6000 recall@top5: 0.8253 prec@top5: 0.4640 loss_action_cls: 0.0958 loss: 0.0958 2022/08/10 14:05:03 - mmengine - INFO - Epoch(train) [1][1320/3842] lr: 1.9088e-02 eta: 5:56:56 time: 0.5342 data_time: 0.0183 memory: 10484 grad_norm: 0.2096 recall@thr=0.5: 0.6030 prec@thr=0.5: 0.6970 recall@top3: 0.7394 prec@top3: 0.5455 recall@top5: 0.9341 prec@top5: 0.4364 loss_action_cls: 0.0926 loss: 0.0926 2022/08/10 14:05:13 - mmengine - INFO - Epoch(train) [1][1340/3842] lr: 1.9264e-02 eta: 5:56:09 time: 0.5134 data_time: 0.0176 memory: 10484 grad_norm: 0.2348 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.6429 recall@top3: 0.5655 prec@top3: 0.5238 recall@top5: 0.7679 prec@top5: 0.4143 loss_action_cls: 0.0937 loss: 0.0937 2022/08/10 14:05:23 - mmengine - INFO - Epoch(train) [1][1360/3842] lr: 1.9440e-02 eta: 5:55:29 time: 0.5226 data_time: 0.0163 memory: 10484 grad_norm: 0.2090 recall@thr=0.5: 0.3796 prec@thr=0.5: 0.4907 recall@top3: 0.5648 prec@top3: 0.4630 recall@top5: 0.7315 prec@top5: 0.3778 loss_action_cls: 0.0958 loss: 0.0958 2022/08/10 14:05:34 - mmengine - INFO - Epoch(train) [1][1380/3842] lr: 1.9615e-02 eta: 5:54:57 time: 0.5382 data_time: 0.0168 memory: 10484 grad_norm: 0.2407 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6667 recall@top3: 0.7917 prec@top3: 0.6458 recall@top5: 0.8750 prec@top5: 0.4250 loss_action_cls: 0.0858 loss: 0.0858 2022/08/10 14:05:45 - mmengine - INFO - Epoch(train) [1][1400/3842] lr: 1.9791e-02 eta: 5:54:15 time: 0.5168 data_time: 0.0176 memory: 10484 grad_norm: 0.2139 recall@thr=0.5: 0.4037 prec@thr=0.5: 0.7454 recall@top3: 0.5593 prec@top3: 0.5741 recall@top5: 0.8130 prec@top5: 0.4889 loss_action_cls: 0.0794 loss: 0.0794 2022/08/10 14:05:55 - mmengine - INFO - Epoch(train) [1][1420/3842] lr: 1.9967e-02 eta: 5:53:36 time: 0.5224 data_time: 0.0210 memory: 10484 grad_norm: 0.2044 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.7436 recall@top3: 0.9231 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.3846 loss_action_cls: 0.0794 loss: 0.0794 2022/08/10 14:06:05 - mmengine - INFO - Epoch(train) [1][1440/3842] lr: 2.0143e-02 eta: 5:52:48 time: 0.5021 data_time: 0.0164 memory: 10484 grad_norm: 0.2068 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.7611 recall@top3: 0.8722 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0810 loss: 0.0810 2022/08/10 14:06:15 - mmengine - INFO - Epoch(train) [1][1460/3842] lr: 2.0318e-02 eta: 5:52:12 time: 0.5234 data_time: 0.0179 memory: 10484 grad_norm: 0.2126 recall@thr=0.5: 0.5194 prec@thr=0.5: 0.3750 recall@top3: 0.6306 prec@top3: 0.4722 recall@top5: 0.8167 prec@top5: 0.4167 loss_action_cls: 0.0995 loss: 0.0995 2022/08/10 14:06:26 - mmengine - INFO - Epoch(train) [1][1480/3842] lr: 2.0494e-02 eta: 5:51:29 time: 0.5085 data_time: 0.0161 memory: 10484 grad_norm: 0.2135 recall@thr=0.5: 0.3556 prec@thr=0.5: 0.5333 recall@top3: 0.5000 prec@top3: 0.4222 recall@top5: 0.7111 prec@top5: 0.3733 loss_action_cls: 0.0865 loss: 0.0865 2022/08/10 14:06:36 - mmengine - INFO - Epoch(train) [1][1500/3842] lr: 2.0670e-02 eta: 5:50:52 time: 0.5189 data_time: 0.0166 memory: 10484 grad_norm: 0.2353 recall@thr=0.5: 0.8698 prec@thr=0.5: 0.8073 recall@top3: 0.8854 prec@top3: 0.5833 recall@top5: 0.8854 prec@top5: 0.3500 loss_action_cls: 0.0826 loss: 0.0826 2022/08/10 14:06:46 - mmengine - INFO - Epoch(train) [1][1520/3842] lr: 2.0845e-02 eta: 5:50:17 time: 0.5210 data_time: 0.0183 memory: 10484 grad_norm: 0.2223 recall@thr=0.5: 0.6462 prec@thr=0.5: 0.8462 recall@top3: 0.8256 prec@top3: 0.6923 recall@top5: 0.8795 prec@top5: 0.4462 loss_action_cls: 0.0726 loss: 0.0726 2022/08/10 14:06:57 - mmengine - INFO - Epoch(train) [1][1540/3842] lr: 2.1021e-02 eta: 5:49:46 time: 0.5305 data_time: 0.0174 memory: 10484 grad_norm: 0.2410 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6562 recall@top3: 0.6458 prec@top3: 0.5208 recall@top5: 0.8802 prec@top5: 0.4000 loss_action_cls: 0.0891 loss: 0.0891 2022/08/10 14:07:07 - mmengine - INFO - Epoch(train) [1][1560/3842] lr: 2.1197e-02 eta: 5:49:02 time: 0.4993 data_time: 0.0167 memory: 10484 grad_norm: 0.2367 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.5722 recall@top3: 0.8889 prec@top3: 0.6444 recall@top5: 0.9333 prec@top5: 0.4133 loss_action_cls: 0.0817 loss: 0.0817 2022/08/10 14:07:17 - mmengine - INFO - Epoch(train) [1][1580/3842] lr: 2.1373e-02 eta: 5:48:24 time: 0.5099 data_time: 0.0155 memory: 10484 grad_norm: 0.2348 recall@thr=0.5: 0.6719 prec@thr=0.5: 0.8177 recall@top3: 0.7083 prec@top3: 0.6458 recall@top5: 0.8490 prec@top5: 0.5000 loss_action_cls: 0.0899 loss: 0.0899 2022/08/10 14:07:27 - mmengine - INFO - Epoch(train) [1][1600/3842] lr: 2.1548e-02 eta: 5:47:41 time: 0.4997 data_time: 0.0180 memory: 10484 grad_norm: 0.2283 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7917 recall@top3: 0.8958 prec@top3: 0.7500 recall@top5: 0.9375 prec@top5: 0.4750 loss_action_cls: 0.0865 loss: 0.0865 2022/08/10 14:07:38 - mmengine - INFO - Epoch(train) [1][1620/3842] lr: 2.1724e-02 eta: 5:47:09 time: 0.5216 data_time: 0.0162 memory: 10484 grad_norm: 0.2407 recall@thr=0.5: 0.6516 prec@thr=0.5: 0.8280 recall@top3: 0.6742 prec@top3: 0.6237 recall@top5: 0.8581 prec@top5: 0.4839 loss_action_cls: 0.0820 loss: 0.0820 2022/08/10 14:07:48 - mmengine - INFO - Epoch(train) [1][1640/3842] lr: 2.1900e-02 eta: 5:46:28 time: 0.4985 data_time: 0.0168 memory: 10484 grad_norm: 0.2276 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.4167 recall@top3: 0.5417 prec@top3: 0.3611 recall@top5: 0.6944 prec@top5: 0.3000 loss_action_cls: 0.0835 loss: 0.0835 2022/08/10 14:07:58 - mmengine - INFO - Epoch(train) [1][1660/3842] lr: 2.2075e-02 eta: 5:45:48 time: 0.5014 data_time: 0.0146 memory: 10484 grad_norm: 0.2522 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.7595 recall@top3: 0.8095 prec@top3: 0.6667 recall@top5: 0.8690 prec@top5: 0.4429 loss_action_cls: 0.0829 loss: 0.0829 2022/08/10 14:08:08 - mmengine - INFO - Epoch(train) [1][1680/3842] lr: 2.2251e-02 eta: 5:45:20 time: 0.5260 data_time: 0.0168 memory: 10484 grad_norm: 0.2169 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.9000 recall@top3: 0.6911 prec@top3: 0.7333 recall@top5: 0.8500 prec@top5: 0.5600 loss_action_cls: 0.0800 loss: 0.0800 2022/08/10 14:08:18 - mmengine - INFO - Epoch(train) [1][1700/3842] lr: 2.2427e-02 eta: 5:44:43 time: 0.5048 data_time: 0.0168 memory: 10484 grad_norm: 0.2367 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.4500 recall@top3: 0.5944 prec@top3: 0.4889 recall@top5: 0.7889 prec@top5: 0.3867 loss_action_cls: 0.0956 loss: 0.0956 2022/08/10 14:08:29 - mmengine - INFO - Epoch(train) [1][1720/3842] lr: 2.2602e-02 eta: 5:44:16 time: 0.5249 data_time: 0.0182 memory: 10484 grad_norm: 0.2460 recall@thr=0.5: 0.3036 prec@thr=0.5: 0.2976 recall@top3: 0.4821 prec@top3: 0.3571 recall@top5: 0.8155 prec@top5: 0.3857 loss_action_cls: 0.0750 loss: 0.0750 2022/08/10 14:08:39 - mmengine - INFO - Epoch(train) [1][1740/3842] lr: 2.2778e-02 eta: 5:43:38 time: 0.5003 data_time: 0.0192 memory: 10484 grad_norm: 0.2376 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.7569 recall@top3: 0.7139 prec@top3: 0.7222 recall@top5: 0.9111 prec@top5: 0.5583 loss_action_cls: 0.0710 loss: 0.0710 2022/08/10 14:08:49 - mmengine - INFO - Epoch(train) [1][1760/3842] lr: 2.2954e-02 eta: 5:43:10 time: 0.5218 data_time: 0.0130 memory: 10484 grad_norm: 0.2367 recall@thr=0.5: 0.3474 prec@thr=0.5: 0.5897 recall@top3: 0.7000 prec@top3: 0.6410 recall@top5: 0.8692 prec@top5: 0.5077 loss_action_cls: 0.0927 loss: 0.0927 2022/08/10 14:08:59 - mmengine - INFO - Epoch(train) [1][1780/3842] lr: 2.3130e-02 eta: 5:42:33 time: 0.4993 data_time: 0.0189 memory: 10484 grad_norm: 0.2017 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6250 recall@top3: 0.6111 prec@top3: 0.5556 recall@top5: 0.7778 prec@top5: 0.4500 loss_action_cls: 0.0829 loss: 0.0829 2022/08/10 14:09:10 - mmengine - INFO - Epoch(train) [1][1800/3842] lr: 2.3305e-02 eta: 5:42:17 time: 0.5496 data_time: 0.0122 memory: 10484 grad_norm: 0.2176 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.8095 recall@top3: 0.7500 prec@top3: 0.6905 recall@top5: 0.9821 prec@top5: 0.5714 loss_action_cls: 0.0932 loss: 0.0932 2022/08/10 14:09:21 - mmengine - INFO - Epoch(train) [1][1820/3842] lr: 2.3481e-02 eta: 5:41:53 time: 0.5287 data_time: 0.0161 memory: 10484 grad_norm: 0.2167 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.8222 recall@top3: 0.8156 prec@top3: 0.7111 recall@top5: 0.8867 prec@top5: 0.4800 loss_action_cls: 0.0862 loss: 0.0862 2022/08/10 14:09:31 - mmengine - INFO - Epoch(train) [1][1840/3842] lr: 2.3657e-02 eta: 5:41:22 time: 0.5099 data_time: 0.0195 memory: 10484 grad_norm: 0.2456 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7972 recall@top3: 0.8056 prec@top3: 0.7778 recall@top5: 0.9120 prec@top5: 0.5444 loss_action_cls: 0.0774 loss: 0.0774 2022/08/10 14:09:42 - mmengine - INFO - Epoch(train) [1][1860/3842] lr: 2.3832e-02 eta: 5:40:59 time: 0.5303 data_time: 0.0169 memory: 10484 grad_norm: 0.2435 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.5667 recall@top3: 0.6000 prec@top3: 0.4444 recall@top5: 0.7778 prec@top5: 0.3867 loss_action_cls: 0.0948 loss: 0.0948 2022/08/10 14:09:52 - mmengine - INFO - Epoch(train) [1][1880/3842] lr: 2.4008e-02 eta: 5:40:33 time: 0.5220 data_time: 0.0170 memory: 10484 grad_norm: 0.2228 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.6111 recall@top3: 0.6667 prec@top3: 0.4444 recall@top5: 0.8519 prec@top5: 0.3556 loss_action_cls: 0.0935 loss: 0.0935 2022/08/10 14:10:03 - mmengine - INFO - Epoch(train) [1][1900/3842] lr: 2.4184e-02 eta: 5:40:14 time: 0.5376 data_time: 0.0178 memory: 10484 grad_norm: 0.2137 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.8333 recall@top3: 0.7333 prec@top3: 0.6500 recall@top5: 0.9667 prec@top5: 0.5200 loss_action_cls: 0.0815 loss: 0.0815 2022/08/10 14:10:13 - mmengine - INFO - Epoch(train) [1][1920/3842] lr: 2.4360e-02 eta: 5:39:48 time: 0.5224 data_time: 0.0166 memory: 10484 grad_norm: 0.2302 recall@thr=0.5: 0.5689 prec@thr=0.5: 0.7000 recall@top3: 0.6767 prec@top3: 0.6444 recall@top5: 0.9289 prec@top5: 0.5467 loss_action_cls: 0.0806 loss: 0.0806 2022/08/10 14:10:24 - mmengine - INFO - Epoch(train) [1][1940/3842] lr: 2.4535e-02 eta: 5:39:28 time: 0.5342 data_time: 0.0184 memory: 10484 grad_norm: 0.2424 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5769 recall@top3: 0.5449 prec@top3: 0.5385 recall@top5: 0.6923 prec@top5: 0.4308 loss_action_cls: 0.0837 loss: 0.0837 2022/08/10 14:10:35 - mmengine - INFO - Epoch(train) [1][1960/3842] lr: 2.4711e-02 eta: 5:39:12 time: 0.5455 data_time: 0.0184 memory: 10484 grad_norm: 0.2176 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.6556 recall@top3: 0.7444 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.3867 loss_action_cls: 0.0744 loss: 0.0744 2022/08/10 14:10:45 - mmengine - INFO - Epoch(train) [1][1980/3842] lr: 2.4887e-02 eta: 5:38:46 time: 0.5178 data_time: 0.0169 memory: 10484 grad_norm: 0.2235 recall@thr=0.5: 0.3833 prec@thr=0.5: 0.5500 recall@top3: 0.7000 prec@top3: 0.5667 recall@top5: 0.9333 prec@top5: 0.4600 loss_action_cls: 0.0734 loss: 0.0734 2022/08/10 14:10:56 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 14:10:56 - mmengine - INFO - Epoch(train) [1][2000/3842] lr: 2.5062e-02 eta: 5:38:24 time: 0.5271 data_time: 0.0167 memory: 10484 grad_norm: 0.2056 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5641 recall@top3: 0.5705 prec@top3: 0.4872 recall@top5: 0.7500 prec@top5: 0.3692 loss_action_cls: 0.0816 loss: 0.0816 2022/08/10 14:11:06 - mmengine - INFO - Epoch(train) [1][2020/3842] lr: 2.5238e-02 eta: 5:37:58 time: 0.5158 data_time: 0.0163 memory: 10484 grad_norm: 0.2185 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.7745 recall@top3: 0.7843 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0873 loss: 0.0873 2022/08/10 14:11:17 - mmengine - INFO - Epoch(train) [1][2040/3842] lr: 2.5414e-02 eta: 5:37:37 time: 0.5315 data_time: 0.0171 memory: 10484 grad_norm: 0.2280 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.8947 recall@top3: 0.8289 prec@top3: 0.8246 recall@top5: 0.9605 prec@top5: 0.5895 loss_action_cls: 0.1041 loss: 0.1041 2022/08/10 14:11:27 - mmengine - INFO - Epoch(train) [1][2060/3842] lr: 2.5590e-02 eta: 5:37:08 time: 0.5064 data_time: 0.0163 memory: 10484 grad_norm: 0.2065 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.6377 recall@top3: 0.6957 prec@top3: 0.4783 recall@top5: 0.8696 prec@top5: 0.3826 loss_action_cls: 0.0702 loss: 0.0702 2022/08/10 14:11:37 - mmengine - INFO - Epoch(train) [1][2080/3842] lr: 2.5765e-02 eta: 5:36:47 time: 0.5272 data_time: 0.0164 memory: 10484 grad_norm: 0.2202 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.5104 recall@top3: 0.6302 prec@top3: 0.5208 recall@top5: 0.8698 prec@top5: 0.4625 loss_action_cls: 0.0890 loss: 0.0890 2022/08/10 14:11:47 - mmengine - INFO - Epoch(train) [1][2100/3842] lr: 2.5941e-02 eta: 5:36:16 time: 0.4995 data_time: 0.0170 memory: 10484 grad_norm: 0.2185 recall@thr=0.5: 0.7588 prec@thr=0.5: 0.6140 recall@top3: 0.8026 prec@top3: 0.5439 recall@top5: 0.8684 prec@top5: 0.3684 loss_action_cls: 0.0666 loss: 0.0666 2022/08/10 14:11:58 - mmengine - INFO - Epoch(train) [1][2120/3842] lr: 2.6117e-02 eta: 5:35:56 time: 0.5276 data_time: 0.0146 memory: 10484 grad_norm: 0.2068 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8750 recall@top3: 0.9306 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0739 loss: 0.0739 2022/08/10 14:12:08 - mmengine - INFO - Epoch(train) [1][2140/3842] lr: 2.6292e-02 eta: 5:35:26 time: 0.5009 data_time: 0.0167 memory: 10484 grad_norm: 0.2190 recall@thr=0.5: 0.5982 prec@thr=0.5: 0.7860 recall@top3: 0.7500 prec@top3: 0.7193 recall@top5: 0.8833 prec@top5: 0.5263 loss_action_cls: 0.0835 loss: 0.0835 2022/08/10 14:12:18 - mmengine - INFO - Epoch(train) [1][2160/3842] lr: 2.6468e-02 eta: 5:35:04 time: 0.5210 data_time: 0.0159 memory: 10484 grad_norm: 0.2247 recall@thr=0.5: 0.4115 prec@thr=0.5: 0.6562 recall@top3: 0.5750 prec@top3: 0.6458 recall@top5: 0.8625 prec@top5: 0.5500 loss_action_cls: 0.0907 loss: 0.0907 2022/08/10 14:12:29 - mmengine - INFO - Epoch(train) [1][2180/3842] lr: 2.6644e-02 eta: 5:34:39 time: 0.5140 data_time: 0.0165 memory: 10484 grad_norm: 0.2027 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7222 recall@top3: 0.7222 prec@top3: 0.6250 recall@top5: 0.8646 prec@top5: 0.4667 loss_action_cls: 0.0728 loss: 0.0728 2022/08/10 14:12:39 - mmengine - INFO - Epoch(train) [1][2200/3842] lr: 2.6820e-02 eta: 5:34:19 time: 0.5262 data_time: 0.0217 memory: 10484 grad_norm: 0.2156 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.7059 recall@top3: 0.6373 prec@top3: 0.5686 recall@top5: 0.7549 prec@top5: 0.3882 loss_action_cls: 0.0949 loss: 0.0949 2022/08/10 14:12:49 - mmengine - INFO - Epoch(train) [1][2220/3842] lr: 2.6995e-02 eta: 5:33:50 time: 0.4997 data_time: 0.0167 memory: 10484 grad_norm: 0.2261 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5952 recall@top3: 0.5714 prec@top3: 0.5000 recall@top5: 0.8095 prec@top5: 0.4429 loss_action_cls: 0.0876 loss: 0.0876 2022/08/10 14:13:00 - mmengine - INFO - Epoch(train) [1][2240/3842] lr: 2.7171e-02 eta: 5:33:29 time: 0.5230 data_time: 0.0163 memory: 10484 grad_norm: 0.2005 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6429 recall@top3: 0.7976 prec@top3: 0.5714 recall@top5: 0.8214 prec@top5: 0.3571 loss_action_cls: 0.0919 loss: 0.0919 2022/08/10 14:13:10 - mmengine - INFO - Epoch(train) [1][2260/3842] lr: 2.7347e-02 eta: 5:33:06 time: 0.5140 data_time: 0.0165 memory: 10484 grad_norm: 0.2189 recall@thr=0.5: 0.3578 prec@thr=0.5: 0.5392 recall@top3: 0.6000 prec@top3: 0.5686 recall@top5: 0.7706 prec@top5: 0.4471 loss_action_cls: 0.0950 loss: 0.0950 2022/08/10 14:13:20 - mmengine - INFO - Epoch(train) [1][2280/3842] lr: 2.7522e-02 eta: 5:32:45 time: 0.5225 data_time: 0.0174 memory: 10484 grad_norm: 0.2159 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.5714 recall@top3: 0.8214 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.4429 loss_action_cls: 0.0811 loss: 0.0811 2022/08/10 14:13:30 - mmengine - INFO - Epoch(train) [1][2300/3842] lr: 2.7698e-02 eta: 5:32:20 time: 0.5071 data_time: 0.0168 memory: 10484 grad_norm: 0.2095 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7143 recall@top3: 0.7619 prec@top3: 0.5556 recall@top5: 0.9206 prec@top5: 0.4381 loss_action_cls: 0.0934 loss: 0.0934 2022/08/10 14:13:41 - mmengine - INFO - Epoch(train) [1][2320/3842] lr: 2.7874e-02 eta: 5:31:56 time: 0.5112 data_time: 0.0166 memory: 10484 grad_norm: 0.2446 recall@thr=0.5: 0.7750 prec@thr=0.5: 1.0000 recall@top3: 0.8740 prec@top3: 0.8542 recall@top5: 0.9875 prec@top5: 0.6000 loss_action_cls: 0.0990 loss: 0.0990 2022/08/10 14:13:51 - mmengine - INFO - Epoch(train) [1][2340/3842] lr: 2.8050e-02 eta: 5:31:32 time: 0.5109 data_time: 0.0194 memory: 10484 grad_norm: 0.2233 recall@thr=0.5: 0.8103 prec@thr=0.5: 0.7564 recall@top3: 0.8103 prec@top3: 0.6410 recall@top5: 0.8923 prec@top5: 0.4462 loss_action_cls: 0.0987 loss: 0.0987 2022/08/10 14:14:01 - mmengine - INFO - Epoch(train) [1][2360/3842] lr: 2.8225e-02 eta: 5:31:14 time: 0.5266 data_time: 0.0168 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6574 recall@top3: 0.7269 prec@top3: 0.6481 recall@top5: 0.9074 prec@top5: 0.5000 loss_action_cls: 0.1067 loss: 0.1067 2022/08/10 14:14:12 - mmengine - INFO - Epoch(train) [1][2380/3842] lr: 2.8401e-02 eta: 5:30:51 time: 0.5126 data_time: 0.0162 memory: 10484 grad_norm: 0.2128 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6852 recall@top3: 0.8889 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.3667 loss_action_cls: 0.0757 loss: 0.0757 2022/08/10 14:14:22 - mmengine - INFO - Epoch(train) [1][2400/3842] lr: 2.8577e-02 eta: 5:30:34 time: 0.5316 data_time: 0.0165 memory: 10484 grad_norm: 0.1984 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8382 recall@top3: 0.8775 prec@top3: 0.7255 recall@top5: 0.9657 prec@top5: 0.4941 loss_action_cls: 0.0892 loss: 0.0892 2022/08/10 14:14:32 - mmengine - INFO - Epoch(train) [1][2420/3842] lr: 2.8752e-02 eta: 5:30:08 time: 0.4989 data_time: 0.0177 memory: 10484 grad_norm: 0.2077 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.5769 recall@top3: 0.6603 prec@top3: 0.5641 recall@top5: 0.8333 prec@top5: 0.4154 loss_action_cls: 0.0858 loss: 0.0858 2022/08/10 14:14:43 - mmengine - INFO - Epoch(train) [1][2440/3842] lr: 2.8928e-02 eta: 5:29:50 time: 0.5252 data_time: 0.0161 memory: 10484 grad_norm: 0.2094 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.5882 recall@top3: 0.7255 prec@top3: 0.5490 recall@top5: 0.9118 prec@top5: 0.4353 loss_action_cls: 0.0856 loss: 0.0856 2022/08/10 14:14:53 - mmengine - INFO - Epoch(train) [1][2460/3842] lr: 2.9104e-02 eta: 5:29:30 time: 0.5204 data_time: 0.0172 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.3611 prec@thr=0.5: 0.5278 recall@top3: 0.6296 prec@top3: 0.5926 recall@top5: 0.8704 prec@top5: 0.5000 loss_action_cls: 0.0687 loss: 0.0687 2022/08/10 14:15:04 - mmengine - INFO - Epoch(train) [1][2480/3842] lr: 2.9280e-02 eta: 5:29:18 time: 0.5462 data_time: 0.0182 memory: 10484 grad_norm: 0.1972 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.8529 recall@top3: 0.8775 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5529 loss_action_cls: 0.0702 loss: 0.0702 2022/08/10 14:15:14 - mmengine - INFO - Epoch(train) [1][2500/3842] lr: 2.9455e-02 eta: 5:28:52 time: 0.4977 data_time: 0.0181 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.3519 prec@thr=0.5: 0.4630 recall@top3: 0.5926 prec@top3: 0.4815 recall@top5: 0.8056 prec@top5: 0.4222 loss_action_cls: 0.0884 loss: 0.0884 2022/08/10 14:15:25 - mmengine - INFO - Epoch(train) [1][2520/3842] lr: 2.9631e-02 eta: 5:28:41 time: 0.5505 data_time: 0.0156 memory: 10484 grad_norm: 0.2100 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6667 recall@top3: 0.6917 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0883 loss: 0.0883 2022/08/10 14:15:36 - mmengine - INFO - Epoch(train) [1][2540/3842] lr: 2.9807e-02 eta: 5:28:26 time: 0.5327 data_time: 0.0172 memory: 10484 grad_norm: 0.1949 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8333 recall@top3: 0.8578 prec@top3: 0.7843 recall@top5: 0.9608 prec@top5: 0.5412 loss_action_cls: 0.0858 loss: 0.0858 2022/08/10 14:15:46 - mmengine - INFO - Epoch(train) [1][2560/3842] lr: 2.9982e-02 eta: 5:28:01 time: 0.4999 data_time: 0.0159 memory: 10484 grad_norm: 0.2136 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.5980 recall@top3: 0.6520 prec@top3: 0.5882 recall@top5: 0.8775 prec@top5: 0.5059 loss_action_cls: 0.0804 loss: 0.0804 2022/08/10 14:15:56 - mmengine - INFO - Epoch(train) [1][2580/3842] lr: 3.0158e-02 eta: 5:27:44 time: 0.5260 data_time: 0.0148 memory: 10484 grad_norm: 0.2259 recall@thr=0.5: 0.6948 prec@thr=0.5: 0.5729 recall@top3: 0.6948 prec@top3: 0.5417 recall@top5: 0.9594 prec@top5: 0.4875 loss_action_cls: 0.0945 loss: 0.0945 2022/08/10 14:16:06 - mmengine - INFO - Epoch(train) [1][2600/3842] lr: 3.0334e-02 eta: 5:27:18 time: 0.4976 data_time: 0.0158 memory: 10484 grad_norm: 0.2238 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7063 recall@top3: 0.8095 prec@top3: 0.5873 recall@top5: 0.9286 prec@top5: 0.4095 loss_action_cls: 0.0793 loss: 0.0793 2022/08/10 14:16:17 - mmengine - INFO - Epoch(train) [1][2620/3842] lr: 3.0510e-02 eta: 5:27:01 time: 0.5261 data_time: 0.0157 memory: 10484 grad_norm: 0.2016 recall@thr=0.5: 0.7706 prec@thr=0.5: 0.8725 recall@top3: 0.8255 prec@top3: 0.6275 recall@top5: 0.9265 prec@top5: 0.4588 loss_action_cls: 0.0832 loss: 0.0832 2022/08/10 14:16:27 - mmengine - INFO - Epoch(train) [1][2640/3842] lr: 3.0685e-02 eta: 5:26:37 time: 0.4966 data_time: 0.0156 memory: 10484 grad_norm: 0.2238 recall@thr=0.5: 0.4755 prec@thr=0.5: 0.6618 recall@top3: 0.6765 prec@top3: 0.5294 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0798 loss: 0.0798 2022/08/10 14:16:37 - mmengine - INFO - Epoch(train) [1][2660/3842] lr: 3.0861e-02 eta: 5:26:21 time: 0.5311 data_time: 0.0182 memory: 10484 grad_norm: 0.2231 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8194 recall@top3: 0.7222 prec@top3: 0.5278 recall@top5: 0.7500 prec@top5: 0.3333 loss_action_cls: 0.0703 loss: 0.0703 2022/08/10 14:16:47 - mmengine - INFO - Epoch(train) [1][2680/3842] lr: 3.1037e-02 eta: 5:25:58 time: 0.5008 data_time: 0.0164 memory: 10484 grad_norm: 0.2021 recall@thr=0.5: 0.7822 prec@thr=0.5: 0.8667 recall@top3: 0.9289 prec@top3: 0.7333 recall@top5: 0.9867 prec@top5: 0.4800 loss_action_cls: 0.0768 loss: 0.0768 2022/08/10 14:16:58 - mmengine - INFO - Epoch(train) [1][2700/3842] lr: 3.1212e-02 eta: 5:25:41 time: 0.5243 data_time: 0.0173 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.8556 recall@top3: 0.6889 prec@top3: 0.6222 recall@top5: 0.7778 prec@top5: 0.4133 loss_action_cls: 0.0757 loss: 0.0757 2022/08/10 14:17:08 - mmengine - INFO - Epoch(train) [1][2720/3842] lr: 3.1388e-02 eta: 5:25:18 time: 0.5015 data_time: 0.0167 memory: 10484 grad_norm: 0.2229 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6237 recall@top3: 0.5789 prec@top3: 0.5439 recall@top5: 0.7237 prec@top5: 0.4105 loss_action_cls: 0.0740 loss: 0.0740 2022/08/10 14:17:18 - mmengine - INFO - Epoch(train) [1][2740/3842] lr: 3.1564e-02 eta: 5:25:01 time: 0.5227 data_time: 0.0189 memory: 10484 grad_norm: 0.2299 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.6667 recall@top3: 0.8194 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0736 loss: 0.0736 2022/08/10 14:17:28 - mmengine - INFO - Epoch(train) [1][2760/3842] lr: 3.1740e-02 eta: 5:24:39 time: 0.5038 data_time: 0.0159 memory: 10484 grad_norm: 0.2198 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.7008 recall@top3: 0.7500 prec@top3: 0.6515 recall@top5: 0.9318 prec@top5: 0.4818 loss_action_cls: 0.0873 loss: 0.0873 2022/08/10 14:17:39 - mmengine - INFO - Epoch(train) [1][2780/3842] lr: 3.1915e-02 eta: 5:24:21 time: 0.5216 data_time: 0.0164 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.3810 recall@top3: 0.6667 prec@top3: 0.4048 recall@top5: 0.9643 prec@top5: 0.3571 loss_action_cls: 0.0717 loss: 0.0717 2022/08/10 14:17:49 - mmengine - INFO - Epoch(train) [1][2800/3842] lr: 3.2091e-02 eta: 5:24:00 time: 0.5060 data_time: 0.0169 memory: 10484 grad_norm: 0.2012 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7451 recall@top3: 0.7451 prec@top3: 0.5490 recall@top5: 0.8725 prec@top5: 0.3882 loss_action_cls: 0.0690 loss: 0.0690 2022/08/10 14:17:59 - mmengine - INFO - Epoch(train) [1][2820/3842] lr: 3.2267e-02 eta: 5:23:44 time: 0.5233 data_time: 0.0169 memory: 10484 grad_norm: 0.1994 recall@thr=0.5: 0.7100 prec@thr=0.5: 0.6811 recall@top3: 0.7089 prec@top3: 0.5778 recall@top5: 0.9233 prec@top5: 0.4800 loss_action_cls: 0.0777 loss: 0.0777 2022/08/10 14:18:09 - mmengine - INFO - Epoch(train) [1][2840/3842] lr: 3.2442e-02 eta: 5:23:21 time: 0.4998 data_time: 0.0171 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.7355 recall@top3: 0.8261 prec@top3: 0.7246 recall@top5: 0.9130 prec@top5: 0.4870 loss_action_cls: 0.0763 loss: 0.0763 2022/08/10 14:18:20 - mmengine - INFO - Epoch(train) [1][2860/3842] lr: 3.2618e-02 eta: 5:23:11 time: 0.5487 data_time: 0.0145 memory: 10484 grad_norm: 0.1981 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.8125 recall@top3: 0.7188 prec@top3: 0.7083 recall@top5: 0.8958 prec@top5: 0.5750 loss_action_cls: 0.0786 loss: 0.0786 2022/08/10 14:18:30 - mmengine - INFO - Epoch(train) [1][2880/3842] lr: 3.2794e-02 eta: 5:22:50 time: 0.5046 data_time: 0.0169 memory: 10484 grad_norm: 0.2034 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5625 recall@top3: 0.6354 prec@top3: 0.3958 recall@top5: 0.8542 prec@top5: 0.3500 loss_action_cls: 0.0782 loss: 0.0782 2022/08/10 14:18:41 - mmengine - INFO - Epoch(train) [1][2900/3842] lr: 3.2970e-02 eta: 5:22:34 time: 0.5250 data_time: 0.0186 memory: 10484 grad_norm: 0.2081 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7292 recall@top3: 0.7083 prec@top3: 0.4792 recall@top5: 0.7500 prec@top5: 0.3125 loss_action_cls: 0.0811 loss: 0.0811 2022/08/10 14:18:51 - mmengine - INFO - Epoch(train) [1][2920/3842] lr: 3.3145e-02 eta: 5:22:12 time: 0.4994 data_time: 0.0183 memory: 10484 grad_norm: 0.2191 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9069 recall@top3: 0.8922 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0938 loss: 0.0938 2022/08/10 14:19:02 - mmengine - INFO - Epoch(train) [1][2940/3842] lr: 3.3321e-02 eta: 5:22:01 time: 0.5441 data_time: 0.0178 memory: 10484 grad_norm: 0.1862 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8860 recall@top3: 0.9167 prec@top3: 0.8596 recall@top5: 1.0000 prec@top5: 0.5684 loss_action_cls: 0.0801 loss: 0.0801 2022/08/10 14:19:12 - mmengine - INFO - Epoch(train) [1][2960/3842] lr: 3.3497e-02 eta: 5:21:45 time: 0.5212 data_time: 0.0163 memory: 10484 grad_norm: 0.2024 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6406 recall@top3: 0.6875 prec@top3: 0.6042 recall@top5: 0.8229 prec@top5: 0.4375 loss_action_cls: 0.0752 loss: 0.0752 2022/08/10 14:19:22 - mmengine - INFO - Epoch(train) [1][2980/3842] lr: 3.3672e-02 eta: 5:21:24 time: 0.5013 data_time: 0.0169 memory: 10484 grad_norm: 0.1991 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8935 recall@top3: 0.8611 prec@top3: 0.8148 recall@top5: 0.9306 prec@top5: 0.5444 loss_action_cls: 0.0819 loss: 0.0819 2022/08/10 14:19:33 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 14:19:33 - mmengine - INFO - Epoch(train) [1][3000/3842] lr: 3.3848e-02 eta: 5:21:09 time: 0.5255 data_time: 0.0171 memory: 10484 grad_norm: 0.2206 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6360 recall@top3: 0.7456 prec@top3: 0.6140 recall@top5: 0.8772 prec@top5: 0.4526 loss_action_cls: 0.0781 loss: 0.0781 2022/08/10 14:19:43 - mmengine - INFO - Epoch(train) [1][3020/3842] lr: 3.4024e-02 eta: 5:20:49 time: 0.5052 data_time: 0.0175 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.8182 recall@top3: 0.8485 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0601 loss: 0.0601 2022/08/10 14:19:53 - mmengine - INFO - Epoch(train) [1][3040/3842] lr: 3.4200e-02 eta: 5:20:33 time: 0.5244 data_time: 0.0159 memory: 10484 grad_norm: 0.2240 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7700 recall@top3: 0.7583 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4700 loss_action_cls: 0.0765 loss: 0.0765 2022/08/10 14:20:04 - mmengine - INFO - Epoch(train) [1][3060/3842] lr: 3.4375e-02 eta: 5:20:22 time: 0.5422 data_time: 0.0184 memory: 10484 grad_norm: 0.2032 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.8194 recall@top3: 0.7722 prec@top3: 0.5556 recall@top5: 0.8444 prec@top5: 0.3833 loss_action_cls: 0.0819 loss: 0.0819 2022/08/10 14:20:14 - mmengine - INFO - Epoch(train) [1][3080/3842] lr: 3.4551e-02 eta: 5:20:01 time: 0.5001 data_time: 0.0178 memory: 10484 grad_norm: 0.2095 recall@thr=0.5: 0.6608 prec@thr=0.5: 0.7647 recall@top3: 0.7167 prec@top3: 0.7451 recall@top5: 0.8706 prec@top5: 0.5647 loss_action_cls: 0.0776 loss: 0.0776 2022/08/10 14:20:25 - mmengine - INFO - Epoch(train) [1][3100/3842] lr: 3.4727e-02 eta: 5:19:55 time: 0.5621 data_time: 0.0152 memory: 10484 grad_norm: 0.2128 recall@thr=0.5: 0.8287 prec@thr=0.5: 0.8433 recall@top3: 0.8353 prec@top3: 0.7733 recall@top5: 0.9180 prec@top5: 0.5280 loss_action_cls: 0.0716 loss: 0.0716 2022/08/10 14:20:36 - mmengine - INFO - Epoch(train) [1][3120/3842] lr: 3.4902e-02 eta: 5:19:42 time: 0.5341 data_time: 0.0204 memory: 10484 grad_norm: 0.1943 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.9062 recall@top3: 0.8333 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0720 loss: 0.0720 2022/08/10 14:20:47 - mmengine - INFO - Epoch(train) [1][3140/3842] lr: 3.5078e-02 eta: 5:19:27 time: 0.5249 data_time: 0.0162 memory: 10484 grad_norm: 0.2064 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.6111 recall@top3: 0.7361 prec@top3: 0.6852 recall@top5: 0.8796 prec@top5: 0.5000 loss_action_cls: 0.0730 loss: 0.0730 2022/08/10 14:20:59 - mmengine - INFO - Epoch(train) [1][3160/3842] lr: 3.5254e-02 eta: 5:19:35 time: 0.6291 data_time: 0.0164 memory: 10484 grad_norm: 0.2147 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.6889 recall@top3: 0.9333 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0794 loss: 0.0794 2022/08/10 14:21:10 - mmengine - INFO - Epoch(train) [1][3180/3842] lr: 3.5430e-02 eta: 5:19:20 time: 0.5255 data_time: 0.0179 memory: 10484 grad_norm: 0.2104 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.8229 recall@top3: 0.8646 prec@top3: 0.7917 recall@top5: 0.9479 prec@top5: 0.5250 loss_action_cls: 0.0751 loss: 0.0751 2022/08/10 14:21:20 - mmengine - INFO - Epoch(train) [1][3200/3842] lr: 3.5605e-02 eta: 5:19:00 time: 0.5014 data_time: 0.0155 memory: 10484 grad_norm: 0.2184 recall@thr=0.5: 0.5448 prec@thr=0.5: 0.7917 recall@top3: 0.7677 prec@top3: 0.6875 recall@top5: 0.8750 prec@top5: 0.5000 loss_action_cls: 0.0764 loss: 0.0764 2022/08/10 14:21:30 - mmengine - INFO - Epoch(train) [1][3220/3842] lr: 3.5781e-02 eta: 5:18:44 time: 0.5224 data_time: 0.0174 memory: 10484 grad_norm: 0.2272 recall@thr=0.5: 0.2917 prec@thr=0.5: 0.2560 recall@top3: 0.5238 prec@top3: 0.4286 recall@top5: 0.7024 prec@top5: 0.3429 loss_action_cls: 0.0695 loss: 0.0695 2022/08/10 14:21:41 - mmengine - INFO - Epoch(train) [1][3240/3842] lr: 3.5957e-02 eta: 5:18:35 time: 0.5493 data_time: 0.0175 memory: 10484 grad_norm: 0.2109 recall@thr=0.5: 0.4531 prec@thr=0.5: 0.5417 recall@top3: 0.5521 prec@top3: 0.5208 recall@top5: 0.8281 prec@top5: 0.4625 loss_action_cls: 0.0886 loss: 0.0886 2022/08/10 14:21:51 - mmengine - INFO - Epoch(train) [1][3260/3842] lr: 3.6132e-02 eta: 5:18:14 time: 0.5002 data_time: 0.0170 memory: 10484 grad_norm: 0.2134 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.4306 recall@top3: 0.5833 prec@top3: 0.4722 recall@top5: 0.9722 prec@top5: 0.3833 loss_action_cls: 0.0899 loss: 0.0899 2022/08/10 14:22:02 - mmengine - INFO - Epoch(train) [1][3280/3842] lr: 3.6308e-02 eta: 5:18:01 time: 0.5313 data_time: 0.0152 memory: 10484 grad_norm: 0.2108 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7407 recall@top3: 0.7222 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0839 loss: 0.0839 2022/08/10 14:22:12 - mmengine - INFO - Epoch(train) [1][3300/3842] lr: 3.6484e-02 eta: 5:17:41 time: 0.5009 data_time: 0.0170 memory: 10484 grad_norm: 0.1858 recall@thr=0.5: 0.5033 prec@thr=0.5: 0.6042 recall@top3: 0.6550 prec@top3: 0.6500 recall@top5: 0.8008 prec@top5: 0.4800 loss_action_cls: 0.0868 loss: 0.0868 2022/08/10 14:22:22 - mmengine - INFO - Epoch(train) [1][3320/3842] lr: 3.6660e-02 eta: 5:17:26 time: 0.5214 data_time: 0.0156 memory: 10484 grad_norm: 0.2230 recall@thr=0.5: 0.6780 prec@thr=0.5: 0.8371 recall@top3: 0.7765 prec@top3: 0.8030 recall@top5: 0.9470 prec@top5: 0.5818 loss_action_cls: 0.0754 loss: 0.0754 2022/08/10 14:22:32 - mmengine - INFO - Epoch(train) [1][3340/3842] lr: 3.6835e-02 eta: 5:17:06 time: 0.5002 data_time: 0.0162 memory: 10484 grad_norm: 0.1928 recall@thr=0.5: 0.5542 prec@thr=0.5: 0.7240 recall@top3: 0.6370 prec@top3: 0.5729 recall@top5: 0.7771 prec@top5: 0.4250 loss_action_cls: 0.0877 loss: 0.0877 2022/08/10 14:22:43 - mmengine - INFO - Epoch(train) [1][3360/3842] lr: 3.7011e-02 eta: 5:16:55 time: 0.5430 data_time: 0.0141 memory: 10484 grad_norm: 0.1924 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.8431 recall@top3: 0.8235 prec@top3: 0.7647 recall@top5: 0.9804 prec@top5: 0.5647 loss_action_cls: 0.0655 loss: 0.0655 2022/08/10 14:22:53 - mmengine - INFO - Epoch(train) [1][3380/3842] lr: 3.7187e-02 eta: 5:16:36 time: 0.5023 data_time: 0.0203 memory: 10484 grad_norm: 0.1819 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6000 recall@top3: 0.6750 prec@top3: 0.5500 recall@top5: 0.7958 prec@top5: 0.4100 loss_action_cls: 0.0880 loss: 0.0880 2022/08/10 14:23:04 - mmengine - INFO - Epoch(train) [1][3400/3842] lr: 3.7362e-02 eta: 5:16:22 time: 0.5232 data_time: 0.0159 memory: 10484 grad_norm: 0.1802 recall@thr=0.5: 0.5978 prec@thr=0.5: 0.7355 recall@top3: 0.7101 prec@top3: 0.6232 recall@top5: 0.8116 prec@top5: 0.4348 loss_action_cls: 0.0859 loss: 0.0859 2022/08/10 14:23:14 - mmengine - INFO - Epoch(train) [1][3420/3842] lr: 3.7538e-02 eta: 5:16:01 time: 0.4972 data_time: 0.0168 memory: 10484 grad_norm: 0.2017 recall@thr=0.5: 0.6935 prec@thr=0.5: 0.7470 recall@top3: 0.7262 prec@top3: 0.5357 recall@top5: 0.8988 prec@top5: 0.4000 loss_action_cls: 0.0759 loss: 0.0759 2022/08/10 14:23:25 - mmengine - INFO - Epoch(train) [1][3440/3842] lr: 3.7714e-02 eta: 5:15:52 time: 0.5463 data_time: 0.0146 memory: 10484 grad_norm: 0.2047 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.7179 recall@top3: 0.7949 prec@top3: 0.5385 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0704 loss: 0.0704 2022/08/10 14:23:34 - mmengine - INFO - Epoch(train) [1][3460/3842] lr: 3.7889e-02 eta: 5:15:32 time: 0.4994 data_time: 0.0170 memory: 10484 grad_norm: 0.1991 recall@thr=0.5: 0.6123 prec@thr=0.5: 0.7536 recall@top3: 0.7246 prec@top3: 0.7536 recall@top5: 0.9312 prec@top5: 0.5826 loss_action_cls: 0.0831 loss: 0.0831 2022/08/10 14:23:45 - mmengine - INFO - Epoch(train) [1][3480/3842] lr: 3.8065e-02 eta: 5:15:20 time: 0.5357 data_time: 0.0153 memory: 10484 grad_norm: 0.1910 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.6562 recall@top3: 0.5885 prec@top3: 0.5208 recall@top5: 0.8229 prec@top5: 0.4250 loss_action_cls: 0.0929 loss: 0.0929 2022/08/10 14:23:55 - mmengine - INFO - Epoch(train) [1][3500/3842] lr: 3.8241e-02 eta: 5:15:01 time: 0.5016 data_time: 0.0187 memory: 10484 grad_norm: 0.2100 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6190 recall@top3: 0.7619 prec@top3: 0.6905 recall@top5: 0.7619 prec@top5: 0.4143 loss_action_cls: 0.0855 loss: 0.0855 2022/08/10 14:24:06 - mmengine - INFO - Epoch(train) [1][3520/3842] lr: 3.8417e-02 eta: 5:14:51 time: 0.5452 data_time: 0.0168 memory: 10484 grad_norm: 0.2076 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8646 recall@top3: 0.8750 prec@top3: 0.7292 recall@top5: 0.9688 prec@top5: 0.5000 loss_action_cls: 0.0773 loss: 0.0773 2022/08/10 14:24:17 - mmengine - INFO - Epoch(train) [1][3540/3842] lr: 3.8592e-02 eta: 5:14:36 time: 0.5199 data_time: 0.0170 memory: 10484 grad_norm: 0.2098 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.5917 recall@top3: 0.7250 prec@top3: 0.5667 recall@top5: 0.9000 prec@top5: 0.4200 loss_action_cls: 0.0735 loss: 0.0735 2022/08/10 14:24:27 - mmengine - INFO - Epoch(train) [1][3560/3842] lr: 3.8768e-02 eta: 5:14:19 time: 0.5088 data_time: 0.0162 memory: 10484 grad_norm: 0.1984 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.7879 recall@top3: 0.6061 prec@top3: 0.4848 recall@top5: 0.7879 prec@top5: 0.3636 loss_action_cls: 0.0781 loss: 0.0781 2022/08/10 14:24:37 - mmengine - INFO - Epoch(train) [1][3580/3842] lr: 3.8944e-02 eta: 5:14:05 time: 0.5247 data_time: 0.0156 memory: 10484 grad_norm: 0.1962 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.7536 recall@top3: 0.8478 prec@top3: 0.5507 recall@top5: 0.8696 prec@top5: 0.3391 loss_action_cls: 0.0674 loss: 0.0674 2022/08/10 14:24:48 - mmengine - INFO - Epoch(train) [1][3600/3842] lr: 3.9119e-02 eta: 5:13:51 time: 0.5229 data_time: 0.0162 memory: 10484 grad_norm: 0.1830 recall@thr=0.5: 0.6412 prec@thr=0.5: 0.7807 recall@top3: 0.6939 prec@top3: 0.7368 recall@top5: 0.8237 prec@top5: 0.5474 loss_action_cls: 0.0640 loss: 0.0640 2022/08/10 14:24:58 - mmengine - INFO - Epoch(train) [1][3620/3842] lr: 3.9295e-02 eta: 5:13:37 time: 0.5253 data_time: 0.0165 memory: 10484 grad_norm: 0.1824 recall@thr=0.5: 0.3394 prec@thr=0.5: 0.5720 recall@top3: 0.5576 prec@top3: 0.5455 recall@top5: 0.7364 prec@top5: 0.4545 loss_action_cls: 0.0752 loss: 0.0752 2022/08/10 14:25:09 - mmengine - INFO - Epoch(train) [1][3640/3842] lr: 3.9471e-02 eta: 5:13:23 time: 0.5216 data_time: 0.0160 memory: 10484 grad_norm: 0.1962 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7315 recall@top3: 0.7593 prec@top3: 0.7407 recall@top5: 0.9398 prec@top5: 0.5556 loss_action_cls: 0.0735 loss: 0.0735 2022/08/10 14:25:19 - mmengine - INFO - Epoch(train) [1][3660/3842] lr: 3.9647e-02 eta: 5:13:08 time: 0.5225 data_time: 0.0175 memory: 10484 grad_norm: 0.2015 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7608 recall@top3: 0.7696 prec@top3: 0.6471 recall@top5: 0.8529 prec@top5: 0.4471 loss_action_cls: 0.0728 loss: 0.0728 2022/08/10 14:25:30 - mmengine - INFO - Epoch(train) [1][3680/3842] lr: 3.9822e-02 eta: 5:12:57 time: 0.5401 data_time: 0.0175 memory: 10484 grad_norm: 0.1995 recall@thr=0.5: 0.5722 prec@thr=0.5: 0.6556 recall@top3: 0.7556 prec@top3: 0.5778 recall@top5: 0.8500 prec@top5: 0.4000 loss_action_cls: 0.0715 loss: 0.0715 2022/08/10 14:25:40 - mmengine - INFO - Epoch(train) [1][3700/3842] lr: 3.9998e-02 eta: 5:12:44 time: 0.5242 data_time: 0.0167 memory: 10484 grad_norm: 0.1841 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.5385 recall@top3: 0.5769 prec@top3: 0.3846 recall@top5: 0.9231 prec@top5: 0.3077 loss_action_cls: 0.0754 loss: 0.0754 2022/08/10 14:25:50 - mmengine - INFO - Epoch(train) [1][3720/3842] lr: 4.0174e-02 eta: 5:12:25 time: 0.5001 data_time: 0.0164 memory: 10484 grad_norm: 0.1968 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7692 recall@top3: 0.8718 prec@top3: 0.6410 recall@top5: 0.9487 prec@top5: 0.4154 loss_action_cls: 0.0788 loss: 0.0788 2022/08/10 14:26:01 - mmengine - INFO - Epoch(train) [1][3740/3842] lr: 4.0349e-02 eta: 5:12:11 time: 0.5199 data_time: 0.0125 memory: 10484 grad_norm: 0.2030 recall@thr=0.5: 0.5382 prec@thr=0.5: 0.6736 recall@top3: 0.6424 prec@top3: 0.5972 recall@top5: 0.8646 prec@top5: 0.4917 loss_action_cls: 0.0796 loss: 0.0796 2022/08/10 14:26:11 - mmengine - INFO - Epoch(train) [1][3760/3842] lr: 4.0525e-02 eta: 5:11:56 time: 0.5216 data_time: 0.0188 memory: 10484 grad_norm: 0.1996 recall@thr=0.5: 0.3846 prec@thr=0.5: 0.5128 recall@top3: 0.8462 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.5231 loss_action_cls: 0.0815 loss: 0.0815 2022/08/10 14:26:21 - mmengine - INFO - Epoch(train) [1][3780/3842] lr: 4.0701e-02 eta: 5:11:41 time: 0.5140 data_time: 0.0151 memory: 10484 grad_norm: 0.1997 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.5658 recall@top3: 0.6842 prec@top3: 0.5439 recall@top5: 0.8947 prec@top5: 0.4421 loss_action_cls: 0.0773 loss: 0.0773 2022/08/10 14:26:31 - mmengine - INFO - Epoch(train) [1][3800/3842] lr: 4.0877e-02 eta: 5:11:23 time: 0.5006 data_time: 0.0174 memory: 10484 grad_norm: 0.2055 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7167 recall@top3: 0.8000 prec@top3: 0.6333 recall@top5: 0.8000 prec@top5: 0.3800 loss_action_cls: 0.0741 loss: 0.0741 2022/08/10 14:26:42 - mmengine - INFO - Epoch(train) [1][3820/3842] lr: 4.1052e-02 eta: 5:11:09 time: 0.5203 data_time: 0.0156 memory: 10484 grad_norm: 0.2037 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8281 recall@top3: 0.8958 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0779 loss: 0.0779 2022/08/10 14:26:52 - mmengine - INFO - Epoch(train) [1][3840/3842] lr: 4.1228e-02 eta: 5:10:54 time: 0.5211 data_time: 0.0184 memory: 10484 grad_norm: 0.1803 recall@thr=0.5: 0.3833 prec@thr=0.5: 0.5694 recall@top3: 0.6361 prec@top3: 0.6389 recall@top5: 0.7861 prec@top5: 0.5167 loss_action_cls: 0.0823 loss: 0.0823 2022/08/10 14:27:12 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 14:27:12 - mmengine - INFO - Epoch(train) [1][3842/3842] lr: 4.1246e-02 eta: 5:10:54 time: 1.4575 data_time: 0.0177 memory: 40538 grad_norm: 0.1830 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.5741 recall@top3: 0.8333 prec@top3: 0.4815 recall@top5: 1.0000 prec@top5: 0.3556 loss_action_cls: 0.0824 loss: 0.0824 2022/08/10 14:27:12 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/10 14:28:27 - mmengine - INFO - Epoch(val) [1][20/6282] eta: 5:46:09 time: 3.3167 data_time: 2.6564 memory: 37606 2022/08/10 14:28:29 - mmengine - INFO - Epoch(val) [1][40/6282] eta: 0:06:21 time: 0.0612 data_time: 0.0089 memory: 703 2022/08/10 14:28:30 - mmengine - INFO - Epoch(val) [1][60/6282] eta: 0:06:27 time: 0.0623 data_time: 0.0121 memory: 703 2022/08/10 14:28:31 - mmengine - INFO - Epoch(val) [1][80/6282] eta: 0:06:30 time: 0.0630 data_time: 0.0092 memory: 703 2022/08/10 14:28:32 - mmengine - INFO - Epoch(val) [1][100/6282] eta: 0:06:18 time: 0.0612 data_time: 0.0107 memory: 703 2022/08/10 14:28:43 - mmengine - INFO - Epoch(val) [1][120/6282] eta: 0:57:16 time: 0.5578 data_time: 0.0078 memory: 37639 2022/08/10 14:28:45 - mmengine - INFO - Epoch(val) [1][140/6282] eta: 0:06:44 time: 0.0659 data_time: 0.0086 memory: 808 2022/08/10 14:28:46 - mmengine - INFO - Epoch(val) [1][160/6282] eta: 0:08:37 time: 0.0846 data_time: 0.0058 memory: 808 2022/08/10 14:28:48 - mmengine - INFO - Epoch(val) [1][180/6282] eta: 0:05:54 time: 0.0581 data_time: 0.0043 memory: 808 2022/08/10 14:28:58 - mmengine - INFO - Epoch(val) [1][200/6282] eta: 0:54:35 time: 0.5386 data_time: 0.0041 memory: 37612 2022/08/10 14:29:00 - mmengine - INFO - Epoch(val) [1][220/6282] eta: 0:05:43 time: 0.0566 data_time: 0.0063 memory: 738 2022/08/10 14:29:01 - mmengine - INFO - Epoch(val) [1][240/6282] eta: 0:06:17 time: 0.0624 data_time: 0.0113 memory: 738 2022/08/10 14:29:02 - mmengine - INFO - Epoch(val) [1][260/6282] eta: 0:06:10 time: 0.0615 data_time: 0.0082 memory: 738 2022/08/10 14:29:03 - mmengine - INFO - Epoch(val) [1][280/6282] eta: 0:05:59 time: 0.0598 data_time: 0.0068 memory: 738 2022/08/10 14:29:05 - mmengine - INFO - Epoch(val) [1][300/6282] eta: 0:06:28 time: 0.0650 data_time: 0.0101 memory: 808 2022/08/10 14:29:07 - mmengine - INFO - Epoch(val) [1][320/6282] eta: 0:11:05 time: 0.1116 data_time: 0.0269 memory: 808 2022/08/10 14:29:08 - mmengine - INFO - Epoch(val) [1][340/6282] eta: 0:07:43 time: 0.0779 data_time: 0.0131 memory: 808 2022/08/10 14:29:10 - mmengine - INFO - Epoch(val) [1][360/6282] eta: 0:09:26 time: 0.0957 data_time: 0.0363 memory: 808 2022/08/10 14:29:12 - mmengine - INFO - Epoch(val) [1][380/6282] eta: 0:09:47 time: 0.0996 data_time: 0.0409 memory: 808 2022/08/10 14:29:15 - mmengine - INFO - Epoch(val) [1][400/6282] eta: 0:12:25 time: 0.1267 data_time: 0.0119 memory: 6417 2022/08/10 14:29:16 - mmengine - INFO - Epoch(val) [1][420/6282] eta: 0:05:44 time: 0.0588 data_time: 0.0067 memory: 743 2022/08/10 14:29:18 - mmengine - INFO - Epoch(val) [1][440/6282] eta: 0:07:56 time: 0.0815 data_time: 0.0065 memory: 743 2022/08/10 14:29:19 - mmengine - INFO - Epoch(val) [1][460/6282] eta: 0:05:29 time: 0.0566 data_time: 0.0066 memory: 743 2022/08/10 14:29:20 - mmengine - INFO - Epoch(val) [1][480/6282] eta: 0:05:09 time: 0.0534 data_time: 0.0072 memory: 743 2022/08/10 14:29:21 - mmengine - INFO - Epoch(val) [1][500/6282] eta: 0:04:49 time: 0.0501 data_time: 0.0053 memory: 743 2022/08/10 14:29:22 - mmengine - INFO - Epoch(val) [1][520/6282] eta: 0:05:06 time: 0.0532 data_time: 0.0059 memory: 738 2022/08/10 14:29:23 - mmengine - INFO - Epoch(val) [1][540/6282] eta: 0:05:02 time: 0.0527 data_time: 0.0061 memory: 738 2022/08/10 14:29:24 - mmengine - INFO - Epoch(val) [1][560/6282] eta: 0:05:22 time: 0.0564 data_time: 0.0062 memory: 738 2022/08/10 14:29:25 - mmengine - INFO - Epoch(val) [1][580/6282] eta: 0:05:28 time: 0.0576 data_time: 0.0069 memory: 738 2022/08/10 14:29:27 - mmengine - INFO - Epoch(val) [1][600/6282] eta: 0:06:13 time: 0.0657 data_time: 0.0089 memory: 738 2022/08/10 14:29:36 - mmengine - INFO - Epoch(val) [1][620/6282] eta: 0:44:23 time: 0.4704 data_time: 0.0046 memory: 37609 2022/08/10 14:29:37 - mmengine - INFO - Epoch(val) [1][640/6282] eta: 0:05:14 time: 0.0557 data_time: 0.0087 memory: 733 2022/08/10 14:29:38 - mmengine - INFO - Epoch(val) [1][660/6282] eta: 0:04:46 time: 0.0509 data_time: 0.0059 memory: 733 2022/08/10 14:29:39 - mmengine - INFO - Epoch(val) [1][680/6282] eta: 0:04:58 time: 0.0533 data_time: 0.0065 memory: 733 2022/08/10 14:29:40 - mmengine - INFO - Epoch(val) [1][700/6282] eta: 0:04:56 time: 0.0532 data_time: 0.0050 memory: 733 2022/08/10 14:29:43 - mmengine - INFO - Epoch(val) [1][720/6282] eta: 0:11:10 time: 0.1206 data_time: 0.0678 memory: 808 2022/08/10 14:29:46 - mmengine - INFO - Epoch(val) [1][740/6282] eta: 0:16:36 time: 0.1797 data_time: 0.1012 memory: 808 2022/08/10 14:29:49 - mmengine - INFO - Epoch(val) [1][760/6282] eta: 0:11:08 time: 0.1211 data_time: 0.0630 memory: 808 2022/08/10 14:29:52 - mmengine - INFO - Epoch(val) [1][780/6282] eta: 0:17:33 time: 0.1914 data_time: 0.1303 memory: 808 2022/08/10 14:29:55 - mmengine - INFO - Epoch(val) [1][800/6282] eta: 0:12:54 time: 0.1414 data_time: 0.0810 memory: 808 2022/08/10 14:29:58 - mmengine - INFO - Epoch(val) [1][820/6282] eta: 0:11:40 time: 0.1283 data_time: 0.0485 memory: 808 2022/08/10 14:29:59 - mmengine - INFO - Epoch(val) [1][840/6282] eta: 0:05:30 time: 0.0608 data_time: 0.0095 memory: 738 2022/08/10 14:30:00 - mmengine - INFO - Epoch(val) [1][860/6282] eta: 0:05:09 time: 0.0570 data_time: 0.0063 memory: 738 2022/08/10 14:30:01 - mmengine - INFO - Epoch(val) [1][880/6282] eta: 0:05:03 time: 0.0563 data_time: 0.0077 memory: 738 2022/08/10 14:30:03 - mmengine - INFO - Epoch(val) [1][900/6282] eta: 0:05:28 time: 0.0610 data_time: 0.0092 memory: 738 2022/08/10 14:30:04 - mmengine - INFO - Epoch(val) [1][920/6282] eta: 0:05:23 time: 0.0604 data_time: 0.0062 memory: 738 2022/08/10 14:30:05 - mmengine - INFO - Epoch(val) [1][940/6282] eta: 0:04:46 time: 0.0536 data_time: 0.0064 memory: 703 2022/08/10 14:30:06 - mmengine - INFO - Epoch(val) [1][960/6282] eta: 0:05:16 time: 0.0595 data_time: 0.0069 memory: 703 2022/08/10 14:30:07 - mmengine - INFO - Epoch(val) [1][980/6282] eta: 0:04:44 time: 0.0536 data_time: 0.0067 memory: 703 2022/08/10 14:30:08 - mmengine - INFO - Epoch(val) [1][1000/6282] eta: 0:04:41 time: 0.0534 data_time: 0.0063 memory: 703 2022/08/10 14:30:09 - mmengine - INFO - Epoch(val) [1][1020/6282] eta: 0:05:03 time: 0.0577 data_time: 0.0095 memory: 738 2022/08/10 14:30:10 - mmengine - INFO - Epoch(val) [1][1040/6282] eta: 0:04:48 time: 0.0551 data_time: 0.0067 memory: 738 2022/08/10 14:30:12 - mmengine - INFO - Epoch(val) [1][1060/6282] eta: 0:04:53 time: 0.0563 data_time: 0.0064 memory: 738 2022/08/10 14:30:13 - mmengine - INFO - Epoch(val) [1][1080/6282] eta: 0:04:40 time: 0.0540 data_time: 0.0053 memory: 738 2022/08/10 14:30:14 - mmengine - INFO - Epoch(val) [1][1100/6282] eta: 0:05:00 time: 0.0580 data_time: 0.0084 memory: 738 2022/08/10 14:30:15 - mmengine - INFO - Epoch(val) [1][1120/6282] eta: 0:04:50 time: 0.0562 data_time: 0.0062 memory: 738 2022/08/10 14:30:16 - mmengine - INFO - Epoch(val) [1][1140/6282] eta: 0:05:07 time: 0.0599 data_time: 0.0070 memory: 738 2022/08/10 14:30:17 - mmengine - INFO - Epoch(val) [1][1160/6282] eta: 0:04:33 time: 0.0534 data_time: 0.0060 memory: 738 2022/08/10 14:30:18 - mmengine - INFO - Epoch(val) [1][1180/6282] eta: 0:04:39 time: 0.0548 data_time: 0.0065 memory: 738 2022/08/10 14:30:19 - mmengine - INFO - Epoch(val) [1][1200/6282] eta: 0:04:40 time: 0.0552 data_time: 0.0061 memory: 738 2022/08/10 14:30:20 - mmengine - INFO - Epoch(val) [1][1220/6282] eta: 0:04:16 time: 0.0507 data_time: 0.0044 memory: 738 2022/08/10 14:30:23 - mmengine - INFO - Epoch(val) [1][1240/6282] eta: 0:10:47 time: 0.1284 data_time: 0.0665 memory: 808 2022/08/10 14:30:25 - mmengine - INFO - Epoch(val) [1][1260/6282] eta: 0:09:57 time: 0.1189 data_time: 0.0617 memory: 808 2022/08/10 14:30:28 - mmengine - INFO - Epoch(val) [1][1280/6282] eta: 0:12:39 time: 0.1518 data_time: 0.0939 memory: 808 2022/08/10 14:30:31 - mmengine - INFO - Epoch(val) [1][1300/6282] eta: 0:09:13 time: 0.1112 data_time: 0.0539 memory: 808 2022/08/10 14:30:34 - mmengine - INFO - Epoch(val) [1][1320/6282] eta: 0:12:59 time: 0.1572 data_time: 0.0912 memory: 808 2022/08/10 14:30:36 - mmengine - INFO - Epoch(val) [1][1340/6282] eta: 0:10:43 time: 0.1301 data_time: 0.0519 memory: 808 2022/08/10 14:30:39 - mmengine - INFO - Epoch(val) [1][1360/6282] eta: 0:10:17 time: 0.1255 data_time: 0.0703 memory: 808 2022/08/10 14:30:41 - mmengine - INFO - Epoch(val) [1][1380/6282] eta: 0:10:01 time: 0.1227 data_time: 0.0671 memory: 808 2022/08/10 14:30:45 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:13:12 time: 0.1623 data_time: 0.1051 memory: 808 2022/08/10 14:30:47 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:10:24 time: 0.1285 data_time: 0.0701 memory: 808 2022/08/10 14:30:49 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:08:28 time: 0.1051 data_time: 0.0437 memory: 808 2022/08/10 14:30:50 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:04:52 time: 0.0607 data_time: 0.0043 memory: 808 2022/08/10 14:30:52 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:04:46 time: 0.0597 data_time: 0.0052 memory: 808 2022/08/10 14:30:53 - mmengine - INFO - Epoch(val) [1][1500/6282] eta: 0:04:38 time: 0.0583 data_time: 0.0040 memory: 808 2022/08/10 14:30:59 - mmengine - INFO - Epoch(val) [1][1520/6282] eta: 0:24:14 time: 0.3054 data_time: 0.0076 memory: 37677 2022/08/10 14:31:01 - mmengine - INFO - Epoch(val) [1][1540/6282] eta: 0:06:37 time: 0.0838 data_time: 0.0075 memory: 911 2022/08/10 14:31:02 - mmengine - INFO - Epoch(val) [1][1560/6282] eta: 0:06:14 time: 0.0792 data_time: 0.0071 memory: 911 2022/08/10 14:31:04 - mmengine - INFO - Epoch(val) [1][1580/6282] eta: 0:06:20 time: 0.0810 data_time: 0.0078 memory: 911 2022/08/10 14:31:05 - mmengine - INFO - Epoch(val) [1][1600/6282] eta: 0:06:23 time: 0.0819 data_time: 0.0077 memory: 911 2022/08/10 14:31:07 - mmengine - INFO - Epoch(val) [1][1620/6282] eta: 0:06:48 time: 0.0877 data_time: 0.0118 memory: 911 2022/08/10 14:31:09 - mmengine - INFO - Epoch(val) [1][1640/6282] eta: 0:04:58 time: 0.0643 data_time: 0.0066 memory: 808 2022/08/10 14:31:10 - mmengine - INFO - Epoch(val) [1][1660/6282] eta: 0:05:03 time: 0.0656 data_time: 0.0067 memory: 808 2022/08/10 14:31:11 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:04:58 time: 0.0649 data_time: 0.0057 memory: 808 2022/08/10 14:31:12 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:04:52 time: 0.0639 data_time: 0.0076 memory: 808 2022/08/10 14:31:14 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:05:01 time: 0.0662 data_time: 0.0081 memory: 808 2022/08/10 14:31:15 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:04:55 time: 0.0650 data_time: 0.0074 memory: 808 2022/08/10 14:31:17 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:07:13 time: 0.0959 data_time: 0.0099 memory: 808 2022/08/10 14:31:18 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:05:04 time: 0.0677 data_time: 0.0082 memory: 808 2022/08/10 14:31:20 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:05:08 time: 0.0688 data_time: 0.0071 memory: 808 2022/08/10 14:31:21 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:04:44 time: 0.0638 data_time: 0.0072 memory: 808 2022/08/10 14:31:23 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:06:17 time: 0.0851 data_time: 0.0243 memory: 808 2022/08/10 14:31:26 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:11:21 time: 0.1541 data_time: 0.0951 memory: 808 2022/08/10 14:31:29 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:10:51 time: 0.1479 data_time: 0.0880 memory: 808 2022/08/10 14:31:32 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:11:43 time: 0.1605 data_time: 0.1007 memory: 808 2022/08/10 14:31:35 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:11:39 time: 0.1605 data_time: 0.0991 memory: 808 2022/08/10 14:31:37 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:08:05 time: 0.1118 data_time: 0.0272 memory: 808 2022/08/10 14:31:39 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:04:18 time: 0.0598 data_time: 0.0081 memory: 743 2022/08/10 14:31:40 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:04:19 time: 0.0603 data_time: 0.0069 memory: 743 2022/08/10 14:31:41 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:04:24 time: 0.0617 data_time: 0.0109 memory: 743 2022/08/10 14:31:42 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:04:21 time: 0.0613 data_time: 0.0098 memory: 743 2022/08/10 14:31:43 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:04:07 time: 0.0584 data_time: 0.0087 memory: 743 2022/08/10 14:31:45 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:04:00 time: 0.0569 data_time: 0.0074 memory: 743 2022/08/10 14:31:46 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:04:15 time: 0.0609 data_time: 0.0096 memory: 743 2022/08/10 14:31:47 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:04:29 time: 0.0644 data_time: 0.0137 memory: 743 2022/08/10 14:31:48 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:04:09 time: 0.0599 data_time: 0.0096 memory: 743 2022/08/10 14:31:49 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:04:16 time: 0.0620 data_time: 0.0095 memory: 743 2022/08/10 14:31:51 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:03:55 time: 0.0571 data_time: 0.0069 memory: 738 2022/08/10 14:31:52 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:03:52 time: 0.0567 data_time: 0.0083 memory: 738 2022/08/10 14:31:53 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:04:00 time: 0.0588 data_time: 0.0075 memory: 738 2022/08/10 14:31:54 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:04:02 time: 0.0596 data_time: 0.0069 memory: 738 2022/08/10 14:31:55 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:03:39 time: 0.0544 data_time: 0.0056 memory: 738 2022/08/10 14:31:57 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:05:35 time: 0.0834 data_time: 0.0067 memory: 743 2022/08/10 14:31:58 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:03:57 time: 0.0594 data_time: 0.0096 memory: 743 2022/08/10 14:31:59 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:04:01 time: 0.0606 data_time: 0.0088 memory: 743 2022/08/10 14:32:01 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:04:02 time: 0.0612 data_time: 0.0073 memory: 743 2022/08/10 14:32:02 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:03:41 time: 0.0562 data_time: 0.0065 memory: 743 2022/08/10 14:32:03 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:03:49 time: 0.0586 data_time: 0.0078 memory: 738 2022/08/10 14:32:04 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:03:41 time: 0.0569 data_time: 0.0058 memory: 738 2022/08/10 14:32:05 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:03:44 time: 0.0578 data_time: 0.0074 memory: 738 2022/08/10 14:32:06 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:03:39 time: 0.0567 data_time: 0.0064 memory: 738 2022/08/10 14:32:07 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:03:26 time: 0.0536 data_time: 0.0042 memory: 738 2022/08/10 14:32:09 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:04:39 time: 0.0732 data_time: 0.0170 memory: 808 2022/08/10 14:32:10 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:05:01 time: 0.0794 data_time: 0.0214 memory: 808 2022/08/10 14:32:12 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:05:08 time: 0.0815 data_time: 0.0218 memory: 808 2022/08/10 14:32:14 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:05:03 time: 0.0807 data_time: 0.0232 memory: 808 2022/08/10 14:32:16 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:08:58 time: 0.1438 data_time: 0.0586 memory: 808 2022/08/10 14:32:18 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:04:24 time: 0.0711 data_time: 0.0171 memory: 808 2022/08/10 14:32:21 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:09:38 time: 0.1563 data_time: 0.1020 memory: 808 2022/08/10 14:32:23 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:07:29 time: 0.1222 data_time: 0.0648 memory: 808 2022/08/10 14:32:27 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:09:43 time: 0.1595 data_time: 0.1033 memory: 808 2022/08/10 14:32:29 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:07:19 time: 0.1207 data_time: 0.0615 memory: 808 2022/08/10 14:32:36 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:19:36 time: 0.3249 data_time: 0.0050 memory: 37674 2022/08/10 14:32:38 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:06:11 time: 0.1032 data_time: 0.0091 memory: 901 2022/08/10 14:32:39 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:05:13 time: 0.0875 data_time: 0.0102 memory: 901 2022/08/10 14:32:41 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:04:51 time: 0.0819 data_time: 0.0093 memory: 901 2022/08/10 14:32:43 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:04:32 time: 0.0768 data_time: 0.0088 memory: 901 2022/08/10 14:32:44 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:03:22 time: 0.0575 data_time: 0.0079 memory: 743 2022/08/10 14:32:45 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:03:07 time: 0.0534 data_time: 0.0050 memory: 743 2022/08/10 14:32:46 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:03:16 time: 0.0564 data_time: 0.0082 memory: 743 2022/08/10 14:32:47 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:03:16 time: 0.0568 data_time: 0.0079 memory: 743 2022/08/10 14:32:48 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:03:22 time: 0.0588 data_time: 0.0080 memory: 743 2022/08/10 14:32:50 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:03:33 time: 0.0624 data_time: 0.0071 memory: 808 2022/08/10 14:32:51 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:05:17 time: 0.0934 data_time: 0.0354 memory: 808 2022/08/10 14:32:53 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:05:02 time: 0.0893 data_time: 0.0304 memory: 808 2022/08/10 14:32:58 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:12:30 time: 0.2232 data_time: 0.0129 memory: 37624 2022/08/10 14:32:59 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:03:37 time: 0.0651 data_time: 0.0082 memory: 771 2022/08/10 14:33:00 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:03:31 time: 0.0637 data_time: 0.0098 memory: 771 2022/08/10 14:33:01 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:03:24 time: 0.0620 data_time: 0.0084 memory: 771 2022/08/10 14:33:03 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:03:12 time: 0.0585 data_time: 0.0072 memory: 771 2022/08/10 14:33:04 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:03:43 time: 0.0684 data_time: 0.0104 memory: 808 2022/08/10 14:33:06 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:04:11 time: 0.0777 data_time: 0.0133 memory: 808 2022/08/10 14:33:07 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:03:43 time: 0.0695 data_time: 0.0082 memory: 808 2022/08/10 14:33:08 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:03:36 time: 0.0677 data_time: 0.0081 memory: 808 2022/08/10 14:33:10 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:03:36 time: 0.0680 data_time: 0.0110 memory: 808 2022/08/10 14:33:11 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:03:05 time: 0.0587 data_time: 0.0097 memory: 743 2022/08/10 14:33:12 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:03:09 time: 0.0603 data_time: 0.0082 memory: 743 2022/08/10 14:33:13 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:03:15 time: 0.0626 data_time: 0.0094 memory: 743 2022/08/10 14:33:14 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:02:59 time: 0.0580 data_time: 0.0077 memory: 743 2022/08/10 14:33:16 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:03:32 time: 0.0688 data_time: 0.0101 memory: 808 2022/08/10 14:33:18 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:04:36 time: 0.0902 data_time: 0.0083 memory: 808 2022/08/10 14:33:19 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:03:24 time: 0.0672 data_time: 0.0092 memory: 808 2022/08/10 14:33:21 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:04:07 time: 0.0818 data_time: 0.0228 memory: 808 2022/08/10 14:33:22 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:03:42 time: 0.0742 data_time: 0.0143 memory: 808 2022/08/10 14:33:23 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:03:19 time: 0.0667 data_time: 0.0069 memory: 808 2022/08/10 14:33:25 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:03:15 time: 0.0658 data_time: 0.0070 memory: 808 2022/08/10 14:33:26 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:03:24 time: 0.0695 data_time: 0.0072 memory: 808 2022/08/10 14:33:28 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:03:19 time: 0.0684 data_time: 0.0100 memory: 808 2022/08/10 14:33:29 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:03:23 time: 0.0702 data_time: 0.0101 memory: 808 2022/08/10 14:33:30 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:02:48 time: 0.0586 data_time: 0.0082 memory: 738 2022/08/10 14:33:31 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:02:46 time: 0.0583 data_time: 0.0085 memory: 738 2022/08/10 14:33:32 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:02:54 time: 0.0613 data_time: 0.0103 memory: 738 2022/08/10 14:33:34 - mmengine - INFO - Epoch(val) [1][3460/6282] eta: 0:02:30 time: 0.0533 data_time: 0.0077 memory: 738 2022/08/10 14:33:35 - mmengine - INFO - Epoch(val) [1][3480/6282] eta: 0:02:27 time: 0.0528 data_time: 0.0063 memory: 738 2022/08/10 14:33:36 - mmengine - INFO - Epoch(val) [1][3500/6282] eta: 0:02:30 time: 0.0541 data_time: 0.0056 memory: 738 2022/08/10 14:33:37 - mmengine - INFO - Epoch(val) [1][3520/6282] eta: 0:03:37 time: 0.0787 data_time: 0.0071 memory: 738 2022/08/10 14:33:38 - mmengine - INFO - Epoch(val) [1][3540/6282] eta: 0:02:43 time: 0.0595 data_time: 0.0092 memory: 738 2022/08/10 14:33:40 - mmengine - INFO - Epoch(val) [1][3560/6282] eta: 0:02:28 time: 0.0547 data_time: 0.0064 memory: 738 2022/08/10 14:33:44 - mmengine - INFO - Epoch(val) [1][3580/6282] eta: 0:09:39 time: 0.2144 data_time: 0.0066 memory: 37631 2022/08/10 14:33:45 - mmengine - INFO - Epoch(val) [1][3600/6282] eta: 0:02:49 time: 0.0634 data_time: 0.0084 memory: 788 2022/08/10 14:33:46 - mmengine - INFO - Epoch(val) [1][3620/6282] eta: 0:02:44 time: 0.0617 data_time: 0.0080 memory: 788 2022/08/10 14:33:48 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:02:50 time: 0.0645 data_time: 0.0076 memory: 788 2022/08/10 14:33:49 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:02:48 time: 0.0642 data_time: 0.0096 memory: 788 2022/08/10 14:33:50 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:03:00 time: 0.0693 data_time: 0.0104 memory: 808 2022/08/10 14:33:52 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:03:31 time: 0.0820 data_time: 0.0230 memory: 808 2022/08/10 14:33:54 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:03:46 time: 0.0884 data_time: 0.0301 memory: 808 2022/08/10 14:33:56 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:04:02 time: 0.0953 data_time: 0.0345 memory: 808 2022/08/10 14:33:58 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:04:19 time: 0.1028 data_time: 0.0144 memory: 808 2022/08/10 14:33:59 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:03:22 time: 0.0808 data_time: 0.0204 memory: 808 2022/08/10 14:34:01 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:03:13 time: 0.0781 data_time: 0.0176 memory: 808 2022/08/10 14:34:02 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:03:14 time: 0.0792 data_time: 0.0202 memory: 808 2022/08/10 14:34:04 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:03:04 time: 0.0757 data_time: 0.0186 memory: 808 2022/08/10 14:34:06 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:03:45 time: 0.0931 data_time: 0.0299 memory: 808 2022/08/10 14:34:08 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:03:43 time: 0.0931 data_time: 0.0308 memory: 808 2022/08/10 14:34:10 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:03:45 time: 0.0946 data_time: 0.0345 memory: 808 2022/08/10 14:34:11 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:03:29 time: 0.0888 data_time: 0.0284 memory: 808 2022/08/10 14:34:13 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:03:41 time: 0.0944 data_time: 0.0324 memory: 808 2022/08/10 14:34:15 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:02:53 time: 0.0747 data_time: 0.0127 memory: 808 2022/08/10 14:34:17 - mmengine - INFO - Epoch(val) [1][3980/6282] eta: 0:03:33 time: 0.0928 data_time: 0.0087 memory: 808 2022/08/10 14:34:18 - mmengine - INFO - Epoch(val) [1][4000/6282] eta: 0:02:34 time: 0.0676 data_time: 0.0087 memory: 808 2022/08/10 14:34:19 - mmengine - INFO - Epoch(val) [1][4020/6282] eta: 0:02:35 time: 0.0688 data_time: 0.0090 memory: 808 2022/08/10 14:34:21 - mmengine - INFO - Epoch(val) [1][4040/6282] eta: 0:02:32 time: 0.0680 data_time: 0.0065 memory: 901 2022/08/10 14:34:22 - mmengine - INFO - Epoch(val) [1][4060/6282] eta: 0:02:49 time: 0.0763 data_time: 0.0063 memory: 901 2022/08/10 14:34:24 - mmengine - INFO - Epoch(val) [1][4080/6282] eta: 0:02:45 time: 0.0754 data_time: 0.0073 memory: 901 2022/08/10 14:34:25 - mmengine - INFO - Epoch(val) [1][4100/6282] eta: 0:02:46 time: 0.0763 data_time: 0.0065 memory: 901 2022/08/10 14:34:27 - mmengine - INFO - Epoch(val) [1][4120/6282] eta: 0:02:54 time: 0.0805 data_time: 0.0078 memory: 901 2022/08/10 14:34:28 - mmengine - INFO - Epoch(val) [1][4140/6282] eta: 0:02:36 time: 0.0731 data_time: 0.0099 memory: 901 2022/08/10 14:34:30 - mmengine - INFO - Epoch(val) [1][4160/6282] eta: 0:02:03 time: 0.0580 data_time: 0.0100 memory: 738 2022/08/10 14:34:31 - mmengine - INFO - Epoch(val) [1][4180/6282] eta: 0:02:06 time: 0.0602 data_time: 0.0090 memory: 738 2022/08/10 14:34:32 - mmengine - INFO - Epoch(val) [1][4200/6282] eta: 0:02:15 time: 0.0651 data_time: 0.0095 memory: 738 2022/08/10 14:34:33 - mmengine - INFO - Epoch(val) [1][4220/6282] eta: 0:02:11 time: 0.0637 data_time: 0.0116 memory: 738 2022/08/10 14:34:35 - mmengine - INFO - Epoch(val) [1][4240/6282] eta: 0:02:16 time: 0.0670 data_time: 0.0088 memory: 2123 2022/08/10 14:34:36 - mmengine - INFO - Epoch(val) [1][4260/6282] eta: 0:02:02 time: 0.0607 data_time: 0.0091 memory: 736 2022/08/10 14:34:37 - mmengine - INFO - Epoch(val) [1][4280/6282] eta: 0:02:16 time: 0.0683 data_time: 0.0098 memory: 736 2022/08/10 14:34:38 - mmengine - INFO - Epoch(val) [1][4300/6282] eta: 0:01:54 time: 0.0576 data_time: 0.0096 memory: 736 2022/08/10 14:34:39 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:01:40 time: 0.0513 data_time: 0.0044 memory: 736 2022/08/10 14:34:40 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:01:39 time: 0.0514 data_time: 0.0053 memory: 736 2022/08/10 14:34:42 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:01:55 time: 0.0599 data_time: 0.0043 memory: 808 2022/08/10 14:34:43 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:01:58 time: 0.0622 data_time: 0.0067 memory: 808 2022/08/10 14:34:44 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:02:03 time: 0.0657 data_time: 0.0079 memory: 808 2022/08/10 14:34:45 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:01:58 time: 0.0635 data_time: 0.0058 memory: 808 2022/08/10 14:34:50 - mmengine - INFO - Epoch(val) [1][4440/6282] eta: 0:07:01 time: 0.2288 data_time: 0.0111 memory: 37642 2022/08/10 14:34:51 - mmengine - INFO - Epoch(val) [1][4460/6282] eta: 0:02:12 time: 0.0727 data_time: 0.0096 memory: 816 2022/08/10 14:34:53 - mmengine - INFO - Epoch(val) [1][4480/6282] eta: 0:02:08 time: 0.0712 data_time: 0.0093 memory: 816 2022/08/10 14:34:54 - mmengine - INFO - Epoch(val) [1][4500/6282] eta: 0:02:07 time: 0.0718 data_time: 0.0079 memory: 816 2022/08/10 14:34:56 - mmengine - INFO - Epoch(val) [1][4520/6282] eta: 0:02:03 time: 0.0701 data_time: 0.0105 memory: 816 2022/08/10 14:34:57 - mmengine - INFO - Epoch(val) [1][4540/6282] eta: 0:01:56 time: 0.0670 data_time: 0.0098 memory: 744 2022/08/10 14:34:58 - mmengine - INFO - Epoch(val) [1][4560/6282] eta: 0:01:46 time: 0.0617 data_time: 0.0098 memory: 744 2022/08/10 14:35:00 - mmengine - INFO - Epoch(val) [1][4580/6282] eta: 0:01:43 time: 0.0610 data_time: 0.0088 memory: 744 2022/08/10 14:35:01 - mmengine - INFO - Epoch(val) [1][4600/6282] eta: 0:01:37 time: 0.0577 data_time: 0.0065 memory: 744 2022/08/10 14:35:02 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:01:45 time: 0.0637 data_time: 0.0079 memory: 744 2022/08/10 14:35:03 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:01:54 time: 0.0696 data_time: 0.0076 memory: 816 2022/08/10 14:35:05 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:01:55 time: 0.0713 data_time: 0.0091 memory: 816 2022/08/10 14:35:06 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:01:56 time: 0.0727 data_time: 0.0102 memory: 816 2022/08/10 14:35:08 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:01:46 time: 0.0674 data_time: 0.0069 memory: 816 2022/08/10 14:35:09 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:02:12 time: 0.0849 data_time: 0.0101 memory: 6426 2022/08/10 14:35:10 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:01:32 time: 0.0598 data_time: 0.0069 memory: 768 2022/08/10 14:35:12 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:01:32 time: 0.0606 data_time: 0.0091 memory: 768 2022/08/10 14:35:13 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:36 time: 0.0642 data_time: 0.0075 memory: 768 2022/08/10 14:35:14 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:38 time: 0.0662 data_time: 0.0114 memory: 768 2022/08/10 14:35:16 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:01:35 time: 0.0650 data_time: 0.0084 memory: 808 2022/08/10 14:35:17 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:02:13 time: 0.0923 data_time: 0.0070 memory: 808 2022/08/10 14:35:19 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:01:37 time: 0.0689 data_time: 0.0075 memory: 808 2022/08/10 14:35:20 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:01:40 time: 0.0714 data_time: 0.0094 memory: 808 2022/08/10 14:35:22 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:01:39 time: 0.0717 data_time: 0.0098 memory: 808 2022/08/10 14:35:23 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:01:58 time: 0.0868 data_time: 0.0097 memory: 6446 2022/08/10 14:35:25 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:40 time: 0.0748 data_time: 0.0108 memory: 811 2022/08/10 14:35:26 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:01:39 time: 0.0755 data_time: 0.0103 memory: 811 2022/08/10 14:35:28 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:01:30 time: 0.0697 data_time: 0.0075 memory: 811 2022/08/10 14:35:29 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:01:33 time: 0.0728 data_time: 0.0102 memory: 811 2022/08/10 14:35:31 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:01:18 time: 0.0623 data_time: 0.0062 memory: 811 2022/08/10 14:35:32 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:01:15 time: 0.0607 data_time: 0.0113 memory: 743 2022/08/10 14:35:33 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:01:12 time: 0.0594 data_time: 0.0072 memory: 743 2022/08/10 14:35:34 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:01:14 time: 0.0619 data_time: 0.0094 memory: 743 2022/08/10 14:35:35 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:01:03 time: 0.0534 data_time: 0.0052 memory: 743 2022/08/10 14:35:37 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:01:30 time: 0.0775 data_time: 0.0055 memory: 743 2022/08/10 14:35:38 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:01:14 time: 0.0651 data_time: 0.0164 memory: 738 2022/08/10 14:35:39 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:01:08 time: 0.0611 data_time: 0.0086 memory: 738 2022/08/10 14:35:41 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:01:10 time: 0.0636 data_time: 0.0099 memory: 738 2022/08/10 14:35:42 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:01:09 time: 0.0643 data_time: 0.0097 memory: 738 2022/08/10 14:35:43 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:01:07 time: 0.0631 data_time: 0.0088 memory: 738 2022/08/10 14:35:44 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:01:05 time: 0.0632 data_time: 0.0107 memory: 736 2022/08/10 14:35:46 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:01:03 time: 0.0621 data_time: 0.0085 memory: 736 2022/08/10 14:35:47 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:01:00 time: 0.0608 data_time: 0.0069 memory: 736 2022/08/10 14:35:48 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:00:57 time: 0.0585 data_time: 0.0082 memory: 736 2022/08/10 14:35:49 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:00:57 time: 0.0595 data_time: 0.0100 memory: 738 2022/08/10 14:35:50 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:00:54 time: 0.0576 data_time: 0.0085 memory: 738 2022/08/10 14:35:51 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:00:48 time: 0.0525 data_time: 0.0064 memory: 738 2022/08/10 14:35:53 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:00:47 time: 0.0522 data_time: 0.0063 memory: 738 2022/08/10 14:35:54 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:00:45 time: 0.0519 data_time: 0.0052 memory: 738 2022/08/10 14:35:55 - mmengine - INFO - Epoch(val) [1][5420/6282] eta: 0:00:40 time: 0.0475 data_time: 0.0032 memory: 738 2022/08/10 14:35:55 - mmengine - INFO - Epoch(val) [1][5440/6282] eta: 0:00:39 time: 0.0466 data_time: 0.0032 memory: 738 2022/08/10 14:35:57 - mmengine - INFO - Epoch(val) [1][5460/6282] eta: 0:01:00 time: 0.0740 data_time: 0.0041 memory: 738 2022/08/10 14:35:58 - mmengine - INFO - Epoch(val) [1][5480/6282] eta: 0:00:40 time: 0.0509 data_time: 0.0064 memory: 738 2022/08/10 14:35:59 - mmengine - INFO - Epoch(val) [1][5500/6282] eta: 0:00:42 time: 0.0547 data_time: 0.0059 memory: 738 2022/08/10 14:36:04 - mmengine - INFO - Epoch(val) [1][5520/6282] eta: 0:03:21 time: 0.2649 data_time: 0.0074 memory: 37621 2022/08/10 14:36:06 - mmengine - INFO - Epoch(val) [1][5540/6282] eta: 0:00:46 time: 0.0630 data_time: 0.0099 memory: 763 2022/08/10 14:36:07 - mmengine - INFO - Epoch(val) [1][5560/6282] eta: 0:00:46 time: 0.0645 data_time: 0.0102 memory: 763 2022/08/10 14:36:08 - mmengine - INFO - Epoch(val) [1][5580/6282] eta: 0:00:42 time: 0.0606 data_time: 0.0074 memory: 763 2022/08/10 14:36:09 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:00:39 time: 0.0576 data_time: 0.0052 memory: 763 2022/08/10 14:36:10 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:34 time: 0.0528 data_time: 0.0058 memory: 763 2022/08/10 14:36:11 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:00:36 time: 0.0570 data_time: 0.0062 memory: 738 2022/08/10 14:36:13 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:32 time: 0.0521 data_time: 0.0041 memory: 738 2022/08/10 14:36:14 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:30 time: 0.0506 data_time: 0.0064 memory: 738 2022/08/10 14:36:15 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:29 time: 0.0509 data_time: 0.0043 memory: 738 2022/08/10 14:36:21 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:02:57 time: 0.3163 data_time: 0.0061 memory: 37628 2022/08/10 14:36:22 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:32 time: 0.0599 data_time: 0.0072 memory: 778 2022/08/10 14:36:23 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:00:30 time: 0.0589 data_time: 0.0062 memory: 778 2022/08/10 14:36:24 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:29 time: 0.0594 data_time: 0.0062 memory: 778 2022/08/10 14:36:26 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:27 time: 0.0570 data_time: 0.0052 memory: 778 2022/08/10 14:36:27 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:25 time: 0.0545 data_time: 0.0052 memory: 778 2022/08/10 14:36:28 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:23 time: 0.0533 data_time: 0.0055 memory: 763 2022/08/10 14:36:29 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:22 time: 0.0534 data_time: 0.0050 memory: 763 2022/08/10 14:36:30 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:29 time: 0.0743 data_time: 0.0047 memory: 763 2022/08/10 14:36:31 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:20 time: 0.0540 data_time: 0.0059 memory: 763 2022/08/10 14:36:32 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:18 time: 0.0521 data_time: 0.0055 memory: 763 2022/08/10 14:36:33 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:15 time: 0.0458 data_time: 0.0035 memory: 738 2022/08/10 14:36:34 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:15 time: 0.0481 data_time: 0.0042 memory: 738 2022/08/10 14:36:35 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:15 time: 0.0499 data_time: 0.0048 memory: 738 2022/08/10 14:36:37 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:20 time: 0.0733 data_time: 0.0049 memory: 808 2022/08/10 14:36:38 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:15 time: 0.0581 data_time: 0.0038 memory: 808 2022/08/10 14:36:39 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:13 time: 0.0575 data_time: 0.0044 memory: 808 2022/08/10 14:36:40 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:12 time: 0.0567 data_time: 0.0042 memory: 808 2022/08/10 14:36:41 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:12 time: 0.0594 data_time: 0.0048 memory: 808 2022/08/10 14:36:43 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:10 time: 0.0580 data_time: 0.0043 memory: 808 2022/08/10 14:36:44 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:09 time: 0.0593 data_time: 0.0066 memory: 808 2022/08/10 14:36:45 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:09 time: 0.0677 data_time: 0.0150 memory: 808 2022/08/10 14:36:46 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:07 time: 0.0620 data_time: 0.0089 memory: 808 2022/08/10 14:36:48 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:06 time: 0.0665 data_time: 0.0145 memory: 808 2022/08/10 14:36:49 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:04 time: 0.0544 data_time: 0.0031 memory: 808 2022/08/10 14:36:50 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:03 time: 0.0553 data_time: 0.0040 memory: 808 2022/08/10 14:36:51 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:02 time: 0.0553 data_time: 0.0038 memory: 808 2022/08/10 14:36:52 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:01 time: 0.0551 data_time: 0.0038 memory: 808 2022/08/10 14:36:53 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.0553 data_time: 0.0039 memory: 808 2022/08/10 14:43:00 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.2051 2022/08/10 14:43:04 - mmengine - INFO - The best checkpoint with 0.2051 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2022/08/10 14:43:16 - mmengine - INFO - Epoch(train) [2][20/3842] lr: 4.1421e-02 eta: 5:10:44 time: 0.6024 data_time: 0.1181 memory: 10484 grad_norm: 0.1938 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.7333 recall@top3: 0.6667 prec@top3: 0.6222 recall@top5: 0.9111 prec@top5: 0.5067 loss_action_cls: 0.0693 loss: 0.0693 2022/08/10 14:43:27 - mmengine - INFO - Epoch(train) [2][40/3842] lr: 4.1597e-02 eta: 5:10:33 time: 0.5354 data_time: 0.0204 memory: 10484 grad_norm: 0.1865 recall@thr=0.5: 0.4608 prec@thr=0.5: 0.5147 recall@top3: 0.7059 prec@top3: 0.5882 recall@top5: 0.9118 prec@top5: 0.4588 loss_action_cls: 0.0831 loss: 0.0831 2022/08/10 14:43:37 - mmengine - INFO - Epoch(train) [2][60/3842] lr: 4.1773e-02 eta: 5:10:14 time: 0.4972 data_time: 0.0162 memory: 10484 grad_norm: 0.1733 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.9000 recall@top3: 0.8042 prec@top3: 0.6000 recall@top5: 0.9125 prec@top5: 0.4200 loss_action_cls: 0.0819 loss: 0.0819 2022/08/10 14:43:48 - mmengine - INFO - Epoch(train) [2][80/3842] lr: 4.1948e-02 eta: 5:10:05 time: 0.5481 data_time: 0.0149 memory: 10484 grad_norm: 0.1759 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.8788 recall@top3: 0.7538 prec@top3: 0.6212 recall@top5: 0.8788 prec@top5: 0.4545 loss_action_cls: 0.0843 loss: 0.0843 2022/08/10 14:43:58 - mmengine - INFO - Epoch(train) [2][100/3842] lr: 4.2124e-02 eta: 5:09:52 time: 0.5283 data_time: 0.0229 memory: 10484 grad_norm: 0.2054 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.5088 recall@top3: 0.7193 prec@top3: 0.5088 recall@top5: 0.9211 prec@top5: 0.3895 loss_action_cls: 0.0760 loss: 0.0760 2022/08/10 14:44:09 - mmengine - INFO - Epoch(train) [2][120/3842] lr: 4.2300e-02 eta: 5:09:41 time: 0.5376 data_time: 0.0168 memory: 10484 grad_norm: 0.2237 recall@thr=0.5: 0.5192 prec@thr=0.5: 0.5321 recall@top3: 0.7308 prec@top3: 0.5385 recall@top5: 0.9167 prec@top5: 0.4154 loss_action_cls: 0.0707 loss: 0.0707 2022/08/10 14:44:19 - mmengine - INFO - Epoch(train) [2][140/3842] lr: 4.2476e-02 eta: 5:09:24 time: 0.5028 data_time: 0.0204 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.7968 prec@thr=0.5: 0.7596 recall@top3: 0.8019 prec@top3: 0.6026 recall@top5: 0.8910 prec@top5: 0.4231 loss_action_cls: 0.0807 loss: 0.0807 2022/08/10 14:44:29 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 14:44:30 - mmengine - INFO - Epoch(train) [2][160/3842] lr: 4.2651e-02 eta: 5:09:16 time: 0.5531 data_time: 0.0183 memory: 10484 grad_norm: 0.1831 recall@thr=0.5: 0.6452 prec@thr=0.5: 0.8095 recall@top3: 0.7762 prec@top3: 0.7381 recall@top5: 0.8643 prec@top5: 0.5000 loss_action_cls: 0.0713 loss: 0.0713 2022/08/10 14:44:40 - mmengine - INFO - Epoch(train) [2][180/3842] lr: 4.2827e-02 eta: 5:08:58 time: 0.4967 data_time: 0.0163 memory: 10484 grad_norm: 0.1938 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.9000 recall@top3: 0.8333 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.5000 loss_action_cls: 0.0845 loss: 0.0845 2022/08/10 14:44:50 - mmengine - INFO - Epoch(train) [2][200/3842] lr: 4.3003e-02 eta: 5:08:44 time: 0.5235 data_time: 0.0145 memory: 10484 grad_norm: 0.1876 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4815 recall@top3: 0.6481 prec@top3: 0.4815 recall@top5: 0.9444 prec@top5: 0.3778 loss_action_cls: 0.0781 loss: 0.0781 2022/08/10 14:45:01 - mmengine - INFO - Epoch(train) [2][220/3842] lr: 4.3178e-02 eta: 5:08:28 time: 0.5080 data_time: 0.0171 memory: 10484 grad_norm: 0.1806 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.7193 recall@top3: 0.6404 prec@top3: 0.5789 recall@top5: 0.9035 prec@top5: 0.4737 loss_action_cls: 0.0740 loss: 0.0740 2022/08/10 14:45:11 - mmengine - INFO - Epoch(train) [2][240/3842] lr: 4.3354e-02 eta: 5:08:18 time: 0.5407 data_time: 0.0159 memory: 10484 grad_norm: 0.1886 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8596 recall@top3: 0.8465 prec@top3: 0.7193 recall@top5: 0.9430 prec@top5: 0.4947 loss_action_cls: 0.0722 loss: 0.0722 2022/08/10 14:45:21 - mmengine - INFO - Epoch(train) [2][260/3842] lr: 4.3530e-02 eta: 5:08:01 time: 0.4996 data_time: 0.0166 memory: 10484 grad_norm: 0.1958 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6716 recall@top3: 0.7255 prec@top3: 0.6078 recall@top5: 0.8824 prec@top5: 0.4588 loss_action_cls: 0.0739 loss: 0.0739 2022/08/10 14:45:32 - mmengine - INFO - Epoch(train) [2][280/3842] lr: 4.3706e-02 eta: 5:07:48 time: 0.5256 data_time: 0.0153 memory: 10484 grad_norm: 0.1941 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.6894 recall@top3: 0.8030 prec@top3: 0.6970 recall@top5: 0.9394 prec@top5: 0.4909 loss_action_cls: 0.0681 loss: 0.0681 2022/08/10 14:45:42 - mmengine - INFO - Epoch(train) [2][300/3842] lr: 4.3881e-02 eta: 5:07:35 time: 0.5237 data_time: 0.0173 memory: 10484 grad_norm: 0.2097 recall@thr=0.5: 0.5783 prec@thr=0.5: 0.7464 recall@top3: 0.6688 prec@top3: 0.5942 recall@top5: 0.8304 prec@top5: 0.4696 loss_action_cls: 0.0612 loss: 0.0612 2022/08/10 14:45:52 - mmengine - INFO - Epoch(train) [2][320/3842] lr: 4.4057e-02 eta: 5:07:17 time: 0.4983 data_time: 0.0183 memory: 10484 grad_norm: 0.1971 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5490 recall@top3: 0.5833 prec@top3: 0.5294 recall@top5: 0.7696 prec@top5: 0.4471 loss_action_cls: 0.0846 loss: 0.0846 2022/08/10 14:46:03 - mmengine - INFO - Epoch(train) [2][340/3842] lr: 4.4233e-02 eta: 5:07:03 time: 0.5149 data_time: 0.0146 memory: 10484 grad_norm: 0.2019 recall@thr=0.5: 0.3981 prec@thr=0.5: 0.4815 recall@top3: 0.6759 prec@top3: 0.5000 recall@top5: 0.8472 prec@top5: 0.3889 loss_action_cls: 0.0764 loss: 0.0764 2022/08/10 14:46:13 - mmengine - INFO - Epoch(train) [2][360/3842] lr: 4.4408e-02 eta: 5:06:47 time: 0.5094 data_time: 0.0158 memory: 10484 grad_norm: 0.1772 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7857 recall@top3: 0.6794 prec@top3: 0.4286 recall@top5: 0.8651 prec@top5: 0.3619 loss_action_cls: 0.0779 loss: 0.0779 2022/08/10 14:46:23 - mmengine - INFO - Epoch(train) [2][380/3842] lr: 4.4584e-02 eta: 5:06:34 time: 0.5229 data_time: 0.0182 memory: 10484 grad_norm: 0.1903 recall@thr=0.5: 0.3819 prec@thr=0.5: 0.4792 recall@top3: 0.5625 prec@top3: 0.5278 recall@top5: 0.7569 prec@top5: 0.4250 loss_action_cls: 0.0669 loss: 0.0669 2022/08/10 14:46:34 - mmengine - INFO - Epoch(train) [2][400/3842] lr: 4.4760e-02 eta: 5:06:22 time: 0.5292 data_time: 0.0184 memory: 10484 grad_norm: 0.1893 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6548 recall@top3: 0.7024 prec@top3: 0.6190 recall@top5: 0.8690 prec@top5: 0.4857 loss_action_cls: 0.0589 loss: 0.0589 2022/08/10 14:46:44 - mmengine - INFO - Epoch(train) [2][420/3842] lr: 4.4936e-02 eta: 5:06:05 time: 0.5000 data_time: 0.0166 memory: 10484 grad_norm: 0.1806 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.7372 recall@top3: 0.7372 prec@top3: 0.6923 recall@top5: 0.9487 prec@top5: 0.5385 loss_action_cls: 0.0589 loss: 0.0589 2022/08/10 14:46:55 - mmengine - INFO - Epoch(train) [2][440/3842] lr: 4.5111e-02 eta: 5:05:56 time: 0.5511 data_time: 0.0152 memory: 10484 grad_norm: 0.1810 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6444 recall@top3: 0.6667 prec@top3: 0.5556 recall@top5: 0.8944 prec@top5: 0.4533 loss_action_cls: 0.0670 loss: 0.0670 2022/08/10 14:47:05 - mmengine - INFO - Epoch(train) [2][460/3842] lr: 4.5287e-02 eta: 5:05:40 time: 0.5011 data_time: 0.0179 memory: 10484 grad_norm: 0.1864 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7353 recall@top3: 0.7059 prec@top3: 0.5686 recall@top5: 0.9167 prec@top5: 0.4353 loss_action_cls: 0.0754 loss: 0.0754 2022/08/10 14:47:16 - mmengine - INFO - Epoch(train) [2][480/3842] lr: 4.5463e-02 eta: 5:05:31 time: 0.5496 data_time: 0.0162 memory: 10484 grad_norm: 0.1953 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8167 recall@top3: 0.8500 prec@top3: 0.7667 recall@top5: 0.8833 prec@top5: 0.4800 loss_action_cls: 0.0673 loss: 0.0673 2022/08/10 14:47:26 - mmengine - INFO - Epoch(train) [2][500/3842] lr: 4.5638e-02 eta: 5:05:14 time: 0.5001 data_time: 0.0173 memory: 10484 grad_norm: 0.1824 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.8186 recall@top3: 0.8039 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.5176 loss_action_cls: 0.0675 loss: 0.0675 2022/08/10 14:47:36 - mmengine - INFO - Epoch(train) [2][520/3842] lr: 4.5814e-02 eta: 5:05:02 time: 0.5247 data_time: 0.0140 memory: 10484 grad_norm: 0.1993 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.8784 recall@top3: 0.8333 prec@top3: 0.8039 recall@top5: 0.8873 prec@top5: 0.5176 loss_action_cls: 0.0692 loss: 0.0692 2022/08/10 14:47:46 - mmengine - INFO - Epoch(train) [2][540/3842] lr: 4.5990e-02 eta: 5:04:45 time: 0.5012 data_time: 0.0183 memory: 10484 grad_norm: 0.1777 recall@thr=0.5: 0.4222 prec@thr=0.5: 0.5333 recall@top3: 0.6111 prec@top3: 0.3333 recall@top5: 0.8111 prec@top5: 0.2800 loss_action_cls: 0.0724 loss: 0.0724 2022/08/10 14:47:57 - mmengine - INFO - Epoch(train) [2][560/3842] lr: 4.6166e-02 eta: 5:04:36 time: 0.5470 data_time: 0.0161 memory: 10484 grad_norm: 0.1746 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.9333 recall@top3: 0.8389 prec@top3: 0.6444 recall@top5: 0.9611 prec@top5: 0.4267 loss_action_cls: 0.0758 loss: 0.0758 2022/08/10 14:48:07 - mmengine - INFO - Epoch(train) [2][580/3842] lr: 4.6341e-02 eta: 5:04:19 time: 0.4979 data_time: 0.0168 memory: 10484 grad_norm: 0.1784 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6979 recall@top3: 0.6979 prec@top3: 0.5417 recall@top5: 0.8333 prec@top5: 0.3875 loss_action_cls: 0.0677 loss: 0.0677 2022/08/10 14:48:19 - mmengine - INFO - Epoch(train) [2][600/3842] lr: 4.6517e-02 eta: 5:04:12 time: 0.5619 data_time: 0.0134 memory: 10484 grad_norm: 0.1881 recall@thr=0.5: 0.9048 prec@thr=0.5: 0.8214 recall@top3: 0.9762 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0655 loss: 0.0655 2022/08/10 14:48:29 - mmengine - INFO - Epoch(train) [2][620/3842] lr: 4.6693e-02 eta: 5:04:00 time: 0.5295 data_time: 0.0240 memory: 10484 grad_norm: 0.1691 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.9318 recall@top3: 0.9015 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.4455 loss_action_cls: 0.0697 loss: 0.0697 2022/08/10 14:48:39 - mmengine - INFO - Epoch(train) [2][640/3842] lr: 4.6868e-02 eta: 5:03:44 time: 0.4992 data_time: 0.0166 memory: 10484 grad_norm: 0.1859 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6556 recall@top3: 0.6278 prec@top3: 0.5111 recall@top5: 0.7556 prec@top5: 0.3733 loss_action_cls: 0.0695 loss: 0.0695 2022/08/10 14:48:50 - mmengine - INFO - Epoch(train) [2][660/3842] lr: 4.7044e-02 eta: 5:03:34 time: 0.5452 data_time: 0.0154 memory: 10484 grad_norm: 0.1919 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6667 recall@top3: 0.9444 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0700 loss: 0.0700 2022/08/10 14:49:00 - mmengine - INFO - Epoch(train) [2][680/3842] lr: 4.7220e-02 eta: 5:03:21 time: 0.5217 data_time: 0.0158 memory: 10484 grad_norm: 0.1729 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.6667 recall@top3: 0.7389 prec@top3: 0.6444 recall@top5: 0.8944 prec@top5: 0.4667 loss_action_cls: 0.0774 loss: 0.0774 2022/08/10 14:49:11 - mmengine - INFO - Epoch(train) [2][700/3842] lr: 4.7396e-02 eta: 5:03:11 time: 0.5386 data_time: 0.0242 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7037 recall@top3: 0.8056 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.5222 loss_action_cls: 0.0675 loss: 0.0675 2022/08/10 14:49:22 - mmengine - INFO - Epoch(train) [2][720/3842] lr: 4.7571e-02 eta: 5:02:59 time: 0.5269 data_time: 0.0230 memory: 10484 grad_norm: 0.1838 recall@thr=0.5: 0.5198 prec@thr=0.5: 0.6865 recall@top3: 0.7540 prec@top3: 0.6667 recall@top5: 0.8452 prec@top5: 0.4571 loss_action_cls: 0.0617 loss: 0.0617 2022/08/10 14:49:32 - mmengine - INFO - Epoch(train) [2][740/3842] lr: 4.7747e-02 eta: 5:02:42 time: 0.4998 data_time: 0.0153 memory: 10484 grad_norm: 0.1848 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6389 recall@top3: 0.7963 prec@top3: 0.5741 recall@top5: 0.8611 prec@top5: 0.3889 loss_action_cls: 0.0681 loss: 0.0681 2022/08/10 14:49:42 - mmengine - INFO - Epoch(train) [2][760/3842] lr: 4.7923e-02 eta: 5:02:29 time: 0.5217 data_time: 0.0153 memory: 10484 grad_norm: 0.1814 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7889 recall@top3: 0.8778 prec@top3: 0.8222 recall@top5: 0.9222 prec@top5: 0.5200 loss_action_cls: 0.0795 loss: 0.0795 2022/08/10 14:49:52 - mmengine - INFO - Epoch(train) [2][780/3842] lr: 4.8098e-02 eta: 5:02:13 time: 0.5004 data_time: 0.0173 memory: 10484 grad_norm: 0.1819 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.8155 recall@top3: 0.7440 prec@top3: 0.7381 recall@top5: 0.8333 prec@top5: 0.5000 loss_action_cls: 0.0684 loss: 0.0684 2022/08/10 14:50:03 - mmengine - INFO - Epoch(train) [2][800/3842] lr: 4.8274e-02 eta: 5:02:01 time: 0.5239 data_time: 0.0167 memory: 10484 grad_norm: 0.1944 recall@thr=0.5: 0.2974 prec@thr=0.5: 0.5385 recall@top3: 0.7077 prec@top3: 0.6410 recall@top5: 0.9487 prec@top5: 0.5385 loss_action_cls: 0.0579 loss: 0.0579 2022/08/10 14:50:13 - mmengine - INFO - Epoch(train) [2][820/3842] lr: 4.8450e-02 eta: 5:01:49 time: 0.5303 data_time: 0.0194 memory: 10484 grad_norm: 0.1813 recall@thr=0.5: 0.5192 prec@thr=0.5: 0.6282 recall@top3: 0.6667 prec@top3: 0.5385 recall@top5: 0.7244 prec@top5: 0.3538 loss_action_cls: 0.0768 loss: 0.0768 2022/08/10 14:50:24 - mmengine - INFO - Epoch(train) [2][840/3842] lr: 4.8626e-02 eta: 5:01:37 time: 0.5266 data_time: 0.0217 memory: 10484 grad_norm: 0.1749 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.7509 recall@top3: 0.7731 prec@top3: 0.7407 recall@top5: 0.9676 prec@top5: 0.5667 loss_action_cls: 0.0780 loss: 0.0780 2022/08/10 14:50:34 - mmengine - INFO - Epoch(train) [2][860/3842] lr: 4.8801e-02 eta: 5:01:21 time: 0.4977 data_time: 0.0166 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.7202 prec@thr=0.5: 0.8452 recall@top3: 0.8333 prec@top3: 0.5476 recall@top5: 0.9464 prec@top5: 0.3857 loss_action_cls: 0.0682 loss: 0.0682 2022/08/10 14:50:44 - mmengine - INFO - Epoch(train) [2][880/3842] lr: 4.8977e-02 eta: 5:01:08 time: 0.5215 data_time: 0.0143 memory: 10484 grad_norm: 0.1945 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6250 recall@top3: 0.7857 prec@top3: 0.5000 recall@top5: 0.8571 prec@top5: 0.3429 loss_action_cls: 0.0716 loss: 0.0716 2022/08/10 14:50:55 - mmengine - INFO - Epoch(train) [2][900/3842] lr: 4.9153e-02 eta: 5:00:55 time: 0.5202 data_time: 0.0196 memory: 10484 grad_norm: 0.1760 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.7037 recall@top3: 0.6528 prec@top3: 0.6111 recall@top5: 0.8148 prec@top5: 0.4667 loss_action_cls: 0.0743 loss: 0.0743 2022/08/10 14:51:05 - mmengine - INFO - Epoch(train) [2][920/3842] lr: 4.9328e-02 eta: 5:00:42 time: 0.5236 data_time: 0.0176 memory: 10484 grad_norm: 0.1814 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7895 recall@top3: 0.8684 prec@top3: 0.5614 recall@top5: 0.9386 prec@top5: 0.3789 loss_action_cls: 0.0777 loss: 0.0777 2022/08/10 14:51:15 - mmengine - INFO - Epoch(train) [2][940/3842] lr: 4.9504e-02 eta: 5:00:26 time: 0.4981 data_time: 0.0194 memory: 10484 grad_norm: 0.1725 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7000 recall@top3: 0.7333 prec@top3: 0.4667 recall@top5: 0.8000 prec@top5: 0.3067 loss_action_cls: 0.0730 loss: 0.0730 2022/08/10 14:51:26 - mmengine - INFO - Epoch(train) [2][960/3842] lr: 4.9680e-02 eta: 5:00:15 time: 0.5301 data_time: 0.0169 memory: 10484 grad_norm: 0.1680 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6111 recall@top3: 0.7500 prec@top3: 0.7222 recall@top5: 0.8333 prec@top5: 0.4833 loss_action_cls: 0.0733 loss: 0.0733 2022/08/10 14:51:37 - mmengine - INFO - Epoch(train) [2][980/3842] lr: 4.9856e-02 eta: 5:00:11 time: 0.5871 data_time: 0.0223 memory: 10484 grad_norm: 0.1707 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.9010 recall@top3: 0.8750 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0645 loss: 0.0645 2022/08/10 14:51:48 - mmengine - INFO - Epoch(train) [2][1000/3842] lr: 5.0031e-02 eta: 4:59:59 time: 0.5256 data_time: 0.0149 memory: 10484 grad_norm: 0.1730 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7000 recall@top3: 0.7111 prec@top3: 0.6667 recall@top5: 0.8778 prec@top5: 0.5200 loss_action_cls: 0.0779 loss: 0.0779 2022/08/10 14:51:58 - mmengine - INFO - Epoch(train) [2][1020/3842] lr: 5.0207e-02 eta: 4:59:44 time: 0.5015 data_time: 0.0169 memory: 10484 grad_norm: 0.2002 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8148 recall@top3: 0.8519 prec@top3: 0.7222 recall@top5: 0.9861 prec@top5: 0.5222 loss_action_cls: 0.0688 loss: 0.0688 2022/08/10 14:52:09 - mmengine - INFO - Epoch(train) [2][1040/3842] lr: 5.0383e-02 eta: 4:59:33 time: 0.5390 data_time: 0.0160 memory: 10484 grad_norm: 0.1792 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6111 recall@top3: 0.6852 prec@top3: 0.4815 recall@top5: 0.8611 prec@top5: 0.3778 loss_action_cls: 0.0760 loss: 0.0760 2022/08/10 14:52:19 - mmengine - INFO - Epoch(train) [2][1060/3842] lr: 5.0558e-02 eta: 4:59:21 time: 0.5227 data_time: 0.0178 memory: 10484 grad_norm: 0.1882 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.6354 recall@top3: 0.5417 prec@top3: 0.4583 recall@top5: 0.8021 prec@top5: 0.3750 loss_action_cls: 0.0709 loss: 0.0709 2022/08/10 14:52:29 - mmengine - INFO - Epoch(train) [2][1080/3842] lr: 5.0734e-02 eta: 4:59:05 time: 0.4989 data_time: 0.0182 memory: 10484 grad_norm: 0.1888 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7333 recall@top3: 0.6444 prec@top3: 0.6000 recall@top5: 0.8000 prec@top5: 0.4400 loss_action_cls: 0.0751 loss: 0.0751 2022/08/10 14:52:40 - mmengine - INFO - Epoch(train) [2][1100/3842] lr: 5.0910e-02 eta: 4:58:52 time: 0.5209 data_time: 0.0149 memory: 10484 grad_norm: 0.1897 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8016 recall@top3: 0.8214 prec@top3: 0.7143 recall@top5: 0.9603 prec@top5: 0.5238 loss_action_cls: 0.0787 loss: 0.0787 2022/08/10 14:52:50 - mmengine - INFO - Epoch(train) [2][1120/3842] lr: 5.1086e-02 eta: 4:58:37 time: 0.4994 data_time: 0.0161 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.5179 prec@thr=0.5: 0.6429 recall@top3: 0.6607 prec@top3: 0.5476 recall@top5: 0.7321 prec@top5: 0.3857 loss_action_cls: 0.0656 loss: 0.0656 2022/08/10 14:53:00 - mmengine - INFO - Epoch(train) [2][1140/3842] lr: 5.1261e-02 eta: 4:58:25 time: 0.5289 data_time: 0.0150 memory: 10484 grad_norm: 0.1819 recall@thr=0.5: 0.8200 prec@thr=0.5: 0.8289 recall@top3: 0.8422 prec@top3: 0.7333 recall@top5: 0.9478 prec@top5: 0.5333 loss_action_cls: 0.0689 loss: 0.0689 2022/08/10 14:53:09 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 14:53:10 - mmengine - INFO - Epoch(train) [2][1160/3842] lr: 5.1437e-02 eta: 4:58:10 time: 0.5012 data_time: 0.0175 memory: 10484 grad_norm: 0.2051 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8137 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.9510 prec@top5: 0.5294 loss_action_cls: 0.0761 loss: 0.0761 2022/08/10 14:53:21 - mmengine - INFO - Epoch(train) [2][1180/3842] lr: 5.1613e-02 eta: 4:57:57 time: 0.5214 data_time: 0.0162 memory: 10484 grad_norm: 0.1912 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.5789 recall@top3: 0.7018 prec@top3: 0.5088 recall@top5: 0.8333 prec@top5: 0.3474 loss_action_cls: 0.0723 loss: 0.0723 2022/08/10 14:53:31 - mmengine - INFO - Epoch(train) [2][1200/3842] lr: 5.1788e-02 eta: 4:57:44 time: 0.5173 data_time: 0.0161 memory: 10484 grad_norm: 0.1713 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.6667 recall@top3: 1.0000 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.3529 loss_action_cls: 0.0693 loss: 0.0693 2022/08/10 14:53:41 - mmengine - INFO - Epoch(train) [2][1220/3842] lr: 5.1964e-02 eta: 4:57:32 time: 0.5279 data_time: 0.0175 memory: 10484 grad_norm: 0.1614 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.8684 recall@top3: 0.8640 prec@top3: 0.6842 recall@top5: 0.9825 prec@top5: 0.4737 loss_action_cls: 0.0747 loss: 0.0747 2022/08/10 14:53:51 - mmengine - INFO - Epoch(train) [2][1240/3842] lr: 5.2140e-02 eta: 4:57:17 time: 0.5011 data_time: 0.0181 memory: 10484 grad_norm: 0.1848 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.6979 recall@top3: 0.6375 prec@top3: 0.5625 recall@top5: 0.7458 prec@top5: 0.4125 loss_action_cls: 0.0874 loss: 0.0874 2022/08/10 14:54:02 - mmengine - INFO - Epoch(train) [2][1260/3842] lr: 5.2316e-02 eta: 4:57:06 time: 0.5267 data_time: 0.0181 memory: 10484 grad_norm: 0.1732 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7500 recall@top3: 0.9444 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0740 loss: 0.0740 2022/08/10 14:54:14 - mmengine - INFO - Epoch(train) [2][1280/3842] lr: 5.2491e-02 eta: 4:57:02 time: 0.5907 data_time: 0.0208 memory: 10484 grad_norm: 0.1732 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.7619 recall@top3: 0.9524 prec@top3: 0.5476 recall@top5: 0.9524 prec@top5: 0.3286 loss_action_cls: 0.0625 loss: 0.0625 2022/08/10 14:54:24 - mmengine - INFO - Epoch(train) [2][1300/3842] lr: 5.2667e-02 eta: 4:56:49 time: 0.5206 data_time: 0.0162 memory: 10484 grad_norm: 0.1780 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.5357 recall@top3: 0.8155 prec@top3: 0.5238 recall@top5: 0.9345 prec@top5: 0.3857 loss_action_cls: 0.0693 loss: 0.0693 2022/08/10 14:54:35 - mmengine - INFO - Epoch(train) [2][1320/3842] lr: 5.2843e-02 eta: 4:56:37 time: 0.5198 data_time: 0.0174 memory: 10484 grad_norm: 0.1881 recall@thr=0.5: 0.3590 prec@thr=0.5: 0.5385 recall@top3: 0.6154 prec@top3: 0.4872 recall@top5: 0.8846 prec@top5: 0.4462 loss_action_cls: 0.0639 loss: 0.0639 2022/08/10 14:54:45 - mmengine - INFO - Epoch(train) [2][1340/3842] lr: 5.3018e-02 eta: 4:56:21 time: 0.4993 data_time: 0.0183 memory: 10484 grad_norm: 0.1803 recall@thr=0.5: 0.6804 prec@thr=0.5: 0.7353 recall@top3: 0.7196 prec@top3: 0.6275 recall@top5: 0.8039 prec@top5: 0.4471 loss_action_cls: 0.0645 loss: 0.0645 2022/08/10 14:54:55 - mmengine - INFO - Epoch(train) [2][1360/3842] lr: 5.3194e-02 eta: 4:56:11 time: 0.5378 data_time: 0.0144 memory: 10484 grad_norm: 0.1736 recall@thr=0.5: 0.6683 prec@thr=0.5: 0.7875 recall@top3: 0.7517 prec@top3: 0.6500 recall@top5: 0.9000 prec@top5: 0.4800 loss_action_cls: 0.0715 loss: 0.0715 2022/08/10 14:55:06 - mmengine - INFO - Epoch(train) [2][1380/3842] lr: 5.3370e-02 eta: 4:55:59 time: 0.5265 data_time: 0.0179 memory: 10484 grad_norm: 0.1749 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.5833 recall@top3: 0.6917 prec@top3: 0.5000 recall@top5: 0.8000 prec@top5: 0.3600 loss_action_cls: 0.0645 loss: 0.0645 2022/08/10 14:55:16 - mmengine - INFO - Epoch(train) [2][1400/3842] lr: 5.3545e-02 eta: 4:55:46 time: 0.5175 data_time: 0.0185 memory: 10484 grad_norm: 0.1827 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7333 recall@top3: 0.6583 prec@top3: 0.6167 recall@top5: 0.8167 prec@top5: 0.4700 loss_action_cls: 0.0682 loss: 0.0682 2022/08/10 14:55:27 - mmengine - INFO - Epoch(train) [2][1420/3842] lr: 5.3721e-02 eta: 4:55:34 time: 0.5237 data_time: 0.0171 memory: 10484 grad_norm: 0.1920 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.9236 recall@top3: 0.7708 prec@top3: 0.7500 recall@top5: 0.8889 prec@top5: 0.5333 loss_action_cls: 0.0684 loss: 0.0684 2022/08/10 14:55:37 - mmengine - INFO - Epoch(train) [2][1440/3842] lr: 5.3897e-02 eta: 4:55:19 time: 0.4977 data_time: 0.0161 memory: 10484 grad_norm: 0.1803 recall@thr=0.5: 0.6044 prec@thr=0.5: 0.9111 recall@top3: 0.7311 prec@top3: 0.8222 recall@top5: 0.9000 prec@top5: 0.6000 loss_action_cls: 0.0688 loss: 0.0688 2022/08/10 14:55:47 - mmengine - INFO - Epoch(train) [2][1460/3842] lr: 5.4073e-02 eta: 4:55:07 time: 0.5262 data_time: 0.0158 memory: 10484 grad_norm: 0.1768 recall@thr=0.5: 0.6623 prec@thr=0.5: 0.6630 recall@top3: 0.7652 prec@top3: 0.6232 recall@top5: 0.9188 prec@top5: 0.4609 loss_action_cls: 0.0705 loss: 0.0705 2022/08/10 14:55:58 - mmengine - INFO - Epoch(train) [2][1480/3842] lr: 5.4248e-02 eta: 4:54:55 time: 0.5236 data_time: 0.0189 memory: 10484 grad_norm: 0.1805 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6449 recall@top3: 0.6993 prec@top3: 0.5942 recall@top5: 0.9239 prec@top5: 0.4957 loss_action_cls: 0.0676 loss: 0.0676 2022/08/10 14:56:08 - mmengine - INFO - Epoch(train) [2][1500/3842] lr: 5.4424e-02 eta: 4:54:40 time: 0.4992 data_time: 0.0164 memory: 10484 grad_norm: 0.1701 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8125 recall@top3: 0.6792 prec@top3: 0.6250 recall@top5: 0.7750 prec@top5: 0.4250 loss_action_cls: 0.0676 loss: 0.0676 2022/08/10 14:56:18 - mmengine - INFO - Epoch(train) [2][1520/3842] lr: 5.4600e-02 eta: 4:54:29 time: 0.5354 data_time: 0.0152 memory: 10484 grad_norm: 0.1739 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7500 recall@top3: 0.7130 prec@top3: 0.5741 recall@top5: 0.8333 prec@top5: 0.4111 loss_action_cls: 0.0705 loss: 0.0705 2022/08/10 14:56:29 - mmengine - INFO - Epoch(train) [2][1540/3842] lr: 5.4775e-02 eta: 4:54:20 time: 0.5434 data_time: 0.0181 memory: 10484 grad_norm: 0.1705 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.9020 recall@top3: 0.8529 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0530 loss: 0.0530 2022/08/10 14:56:39 - mmengine - INFO - Epoch(train) [2][1560/3842] lr: 5.4951e-02 eta: 4:54:05 time: 0.5001 data_time: 0.0167 memory: 10484 grad_norm: 0.1840 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7262 recall@top3: 0.8929 prec@top3: 0.5476 recall@top5: 0.9405 prec@top5: 0.3571 loss_action_cls: 0.0640 loss: 0.0640 2022/08/10 14:56:50 - mmengine - INFO - Epoch(train) [2][1580/3842] lr: 5.5127e-02 eta: 4:53:56 time: 0.5494 data_time: 0.0201 memory: 10484 grad_norm: 0.1813 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7899 recall@top3: 0.7942 prec@top3: 0.6812 recall@top5: 0.9826 prec@top5: 0.4957 loss_action_cls: 0.0718 loss: 0.0718 2022/08/10 14:57:00 - mmengine - INFO - Epoch(train) [2][1600/3842] lr: 5.5303e-02 eta: 4:53:41 time: 0.4989 data_time: 0.0174 memory: 10484 grad_norm: 0.1795 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7315 recall@top3: 0.7731 prec@top3: 0.6852 recall@top5: 0.9676 prec@top5: 0.5111 loss_action_cls: 0.0539 loss: 0.0539 2022/08/10 14:57:11 - mmengine - INFO - Epoch(train) [2][1620/3842] lr: 5.5478e-02 eta: 4:53:30 time: 0.5295 data_time: 0.0152 memory: 10484 grad_norm: 0.1695 recall@thr=0.5: 0.3976 prec@thr=0.5: 0.5714 recall@top3: 0.6952 prec@top3: 0.6905 recall@top5: 0.9262 prec@top5: 0.5714 loss_action_cls: 0.0825 loss: 0.0825 2022/08/10 14:57:21 - mmengine - INFO - Epoch(train) [2][1640/3842] lr: 5.5654e-02 eta: 4:53:16 time: 0.5039 data_time: 0.0175 memory: 10484 grad_norm: 0.1882 recall@thr=0.5: 0.6035 prec@thr=0.5: 0.7917 recall@top3: 0.6653 prec@top3: 0.7083 recall@top5: 0.9042 prec@top5: 0.6000 loss_action_cls: 0.0628 loss: 0.0628 2022/08/10 14:57:32 - mmengine - INFO - Epoch(train) [2][1660/3842] lr: 5.5830e-02 eta: 4:53:06 time: 0.5450 data_time: 0.0155 memory: 10484 grad_norm: 0.1844 recall@thr=0.5: 0.7474 prec@thr=0.5: 0.7630 recall@top3: 0.8125 prec@top3: 0.6979 recall@top5: 0.8906 prec@top5: 0.4625 loss_action_cls: 0.0657 loss: 0.0657 2022/08/10 14:57:42 - mmengine - INFO - Epoch(train) [2][1680/3842] lr: 5.6005e-02 eta: 4:52:52 time: 0.5070 data_time: 0.0228 memory: 10484 grad_norm: 0.1681 recall@thr=0.5: 0.5880 prec@thr=0.5: 0.7778 recall@top3: 0.8287 prec@top3: 0.7037 recall@top5: 0.9352 prec@top5: 0.4667 loss_action_cls: 0.0685 loss: 0.0685 2022/08/10 14:57:53 - mmengine - INFO - Epoch(train) [2][1700/3842] lr: 5.6181e-02 eta: 4:52:41 time: 0.5336 data_time: 0.0160 memory: 10484 grad_norm: 0.1700 recall@thr=0.5: 0.4545 prec@thr=0.5: 0.7273 recall@top3: 0.7273 prec@top3: 0.5455 recall@top5: 0.8182 prec@top5: 0.3818 loss_action_cls: 0.0619 loss: 0.0619 2022/08/10 14:58:03 - mmengine - INFO - Epoch(train) [2][1720/3842] lr: 5.6357e-02 eta: 4:52:27 time: 0.5023 data_time: 0.0186 memory: 10484 grad_norm: 0.1791 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7045 recall@top3: 0.8061 prec@top3: 0.7424 recall@top5: 0.8682 prec@top5: 0.4909 loss_action_cls: 0.0615 loss: 0.0615 2022/08/10 14:58:13 - mmengine - INFO - Epoch(train) [2][1740/3842] lr: 5.6533e-02 eta: 4:52:15 time: 0.5234 data_time: 0.0162 memory: 10484 grad_norm: 0.1748 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.9444 recall@top3: 0.9000 prec@top3: 0.8444 recall@top5: 1.0000 prec@top5: 0.5733 loss_action_cls: 0.0615 loss: 0.0615 2022/08/10 14:58:23 - mmengine - INFO - Epoch(train) [2][1760/3842] lr: 5.6708e-02 eta: 4:52:00 time: 0.5006 data_time: 0.0191 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.6396 prec@thr=0.5: 0.8750 recall@top3: 0.7896 prec@top3: 0.6875 recall@top5: 0.8458 prec@top5: 0.4500 loss_action_cls: 0.0713 loss: 0.0713 2022/08/10 14:58:34 - mmengine - INFO - Epoch(train) [2][1780/3842] lr: 5.6884e-02 eta: 4:51:48 time: 0.5215 data_time: 0.0135 memory: 10484 grad_norm: 0.1688 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8690 recall@top3: 0.9524 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0619 loss: 0.0619 2022/08/10 14:58:46 - mmengine - INFO - Epoch(train) [2][1800/3842] lr: 5.7060e-02 eta: 4:51:48 time: 0.6211 data_time: 0.0217 memory: 10484 grad_norm: 0.1802 recall@thr=0.5: 0.8636 prec@thr=0.5: 0.8182 recall@top3: 0.9091 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0694 loss: 0.0694 2022/08/10 14:58:56 - mmengine - INFO - Epoch(train) [2][1820/3842] lr: 5.7235e-02 eta: 4:51:34 time: 0.5104 data_time: 0.0167 memory: 10484 grad_norm: 0.1828 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6786 recall@top3: 0.7976 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.3286 loss_action_cls: 0.0790 loss: 0.0790 2022/08/10 14:59:08 - mmengine - INFO - Epoch(train) [2][1840/3842] lr: 5.7411e-02 eta: 4:51:33 time: 0.6116 data_time: 0.0168 memory: 10484 grad_norm: 0.1819 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.8542 recall@top3: 0.8958 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0633 loss: 0.0633 2022/08/10 14:59:19 - mmengine - INFO - Epoch(train) [2][1860/3842] lr: 5.7587e-02 eta: 4:51:23 time: 0.5476 data_time: 0.0170 memory: 10484 grad_norm: 0.1701 recall@thr=0.5: 0.6117 prec@thr=0.5: 0.7000 recall@top3: 0.7342 prec@top3: 0.6333 recall@top5: 0.8400 prec@top5: 0.4500 loss_action_cls: 0.0750 loss: 0.0750 2022/08/10 14:59:30 - mmengine - INFO - Epoch(train) [2][1880/3842] lr: 5.7763e-02 eta: 4:51:11 time: 0.5188 data_time: 0.0178 memory: 10484 grad_norm: 0.1711 recall@thr=0.5: 0.5960 prec@thr=0.5: 0.6152 recall@top3: 0.6126 prec@top3: 0.5354 recall@top5: 0.7343 prec@top5: 0.4061 loss_action_cls: 0.0637 loss: 0.0637 2022/08/10 14:59:40 - mmengine - INFO - Epoch(train) [2][1900/3842] lr: 5.7938e-02 eta: 4:50:56 time: 0.4983 data_time: 0.0170 memory: 10484 grad_norm: 0.1792 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.8718 recall@top3: 0.7179 prec@top3: 0.5641 recall@top5: 0.8718 prec@top5: 0.4154 loss_action_cls: 0.0649 loss: 0.0649 2022/08/10 14:59:50 - mmengine - INFO - Epoch(train) [2][1920/3842] lr: 5.8114e-02 eta: 4:50:44 time: 0.5238 data_time: 0.0162 memory: 10484 grad_norm: 0.1892 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.5952 recall@top3: 0.7063 prec@top3: 0.5238 recall@top5: 0.8413 prec@top5: 0.4000 loss_action_cls: 0.0662 loss: 0.0662 2022/08/10 15:00:00 - mmengine - INFO - Epoch(train) [2][1940/3842] lr: 5.8290e-02 eta: 4:50:31 time: 0.5073 data_time: 0.0170 memory: 10484 grad_norm: 0.1621 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7778 recall@top3: 0.7333 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.5600 loss_action_cls: 0.0628 loss: 0.0628 2022/08/10 15:00:11 - mmengine - INFO - Epoch(train) [2][1960/3842] lr: 5.8465e-02 eta: 4:50:19 time: 0.5297 data_time: 0.0174 memory: 10484 grad_norm: 0.1659 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6771 recall@top3: 0.6875 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.5375 loss_action_cls: 0.0678 loss: 0.0678 2022/08/10 15:00:22 - mmengine - INFO - Epoch(train) [2][1980/3842] lr: 5.8641e-02 eta: 4:50:09 time: 0.5343 data_time: 0.0184 memory: 10484 grad_norm: 0.1719 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.8611 recall@top3: 0.7083 prec@top3: 0.7222 recall@top5: 0.8889 prec@top5: 0.5333 loss_action_cls: 0.0792 loss: 0.0792 2022/08/10 15:00:32 - mmengine - INFO - Epoch(train) [2][2000/3842] lr: 5.8817e-02 eta: 4:49:54 time: 0.5001 data_time: 0.0181 memory: 10484 grad_norm: 0.1759 recall@thr=0.5: 0.8509 prec@thr=0.5: 0.8289 recall@top3: 0.8333 prec@top3: 0.5263 recall@top5: 0.9649 prec@top5: 0.3895 loss_action_cls: 0.0749 loss: 0.0749 2022/08/10 15:00:42 - mmengine - INFO - Epoch(train) [2][2020/3842] lr: 5.8993e-02 eta: 4:49:43 time: 0.5312 data_time: 0.0134 memory: 10484 grad_norm: 0.1754 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.6228 recall@top3: 0.7061 prec@top3: 0.6140 recall@top5: 0.8640 prec@top5: 0.4632 loss_action_cls: 0.0694 loss: 0.0694 2022/08/10 15:00:52 - mmengine - INFO - Epoch(train) [2][2040/3842] lr: 5.9168e-02 eta: 4:49:29 time: 0.5001 data_time: 0.0169 memory: 10484 grad_norm: 0.1691 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.5641 recall@top3: 0.6923 prec@top3: 0.4103 recall@top5: 0.8333 prec@top5: 0.3231 loss_action_cls: 0.0654 loss: 0.0654 2022/08/10 15:01:03 - mmengine - INFO - Epoch(train) [2][2060/3842] lr: 5.9344e-02 eta: 4:49:20 time: 0.5475 data_time: 0.0154 memory: 10484 grad_norm: 0.1720 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8220 recall@top3: 0.8750 prec@top3: 0.7727 recall@top5: 0.9773 prec@top5: 0.5273 loss_action_cls: 0.0653 loss: 0.0653 2022/08/10 15:01:13 - mmengine - INFO - Epoch(train) [2][2080/3842] lr: 5.9520e-02 eta: 4:49:05 time: 0.4996 data_time: 0.0164 memory: 10484 grad_norm: 0.1666 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8021 recall@top3: 0.8542 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0597 loss: 0.0597 2022/08/10 15:01:24 - mmengine - INFO - Epoch(train) [2][2100/3842] lr: 5.9695e-02 eta: 4:48:57 time: 0.5512 data_time: 0.0140 memory: 10484 grad_norm: 0.1671 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7552 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 0.9844 prec@top5: 0.5750 loss_action_cls: 0.0673 loss: 0.0673 2022/08/10 15:01:34 - mmengine - INFO - Epoch(train) [2][2120/3842] lr: 5.9871e-02 eta: 4:48:42 time: 0.4979 data_time: 0.0169 memory: 10484 grad_norm: 0.1789 recall@thr=0.5: 0.6710 prec@thr=0.5: 0.7652 recall@top3: 0.7188 prec@top3: 0.6377 recall@top5: 0.9275 prec@top5: 0.5217 loss_action_cls: 0.0629 loss: 0.0629 2022/08/10 15:01:45 - mmengine - INFO - Epoch(train) [2][2140/3842] lr: 6.0047e-02 eta: 4:48:32 time: 0.5358 data_time: 0.0148 memory: 10484 grad_norm: 0.1729 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6548 recall@top3: 0.6825 prec@top3: 0.6349 recall@top5: 0.8651 prec@top5: 0.4857 loss_action_cls: 0.0655 loss: 0.0655 2022/08/10 15:01:54 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 15:01:55 - mmengine - INFO - Epoch(train) [2][2160/3842] lr: 6.0223e-02 eta: 4:48:17 time: 0.4983 data_time: 0.0175 memory: 10484 grad_norm: 0.1721 recall@thr=0.5: 0.8042 prec@thr=0.5: 0.9687 recall@top3: 0.9000 prec@top3: 0.7917 recall@top5: 0.9875 prec@top5: 0.5375 loss_action_cls: 0.0666 loss: 0.0666 2022/08/10 15:02:06 - mmengine - INFO - Epoch(train) [2][2180/3842] lr: 6.0398e-02 eta: 4:48:10 time: 0.5670 data_time: 0.0160 memory: 10484 grad_norm: 0.1921 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.8519 recall@top3: 0.8102 prec@top3: 0.6296 recall@top5: 0.8611 prec@top5: 0.4111 loss_action_cls: 0.0676 loss: 0.0676 2022/08/10 15:02:17 - mmengine - INFO - Epoch(train) [2][2200/3842] lr: 6.0574e-02 eta: 4:47:58 time: 0.5214 data_time: 0.0183 memory: 10484 grad_norm: 0.1852 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.6569 recall@top3: 0.8088 prec@top3: 0.6863 recall@top5: 0.8873 prec@top5: 0.4588 loss_action_cls: 0.0685 loss: 0.0685 2022/08/10 15:02:28 - mmengine - INFO - Epoch(train) [2][2220/3842] lr: 6.0750e-02 eta: 4:47:50 time: 0.5595 data_time: 0.0205 memory: 10484 grad_norm: 0.1756 recall@thr=0.5: 0.6632 prec@thr=0.5: 0.6771 recall@top3: 0.7812 prec@top3: 0.6944 recall@top5: 0.9167 prec@top5: 0.4750 loss_action_cls: 0.0734 loss: 0.0734 2022/08/10 15:02:38 - mmengine - INFO - Epoch(train) [2][2240/3842] lr: 6.0925e-02 eta: 4:47:36 time: 0.5058 data_time: 0.0217 memory: 10484 grad_norm: 0.1739 recall@thr=0.5: 0.3125 prec@thr=0.5: 0.4250 recall@top3: 0.5400 prec@top3: 0.5333 recall@top5: 0.7425 prec@top5: 0.4500 loss_action_cls: 0.0649 loss: 0.0649 2022/08/10 15:02:48 - mmengine - INFO - Epoch(train) [2][2260/3842] lr: 6.1101e-02 eta: 4:47:24 time: 0.5187 data_time: 0.0184 memory: 10484 grad_norm: 0.1612 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.7727 recall@top3: 0.9091 prec@top3: 0.6061 recall@top5: 0.9394 prec@top5: 0.3818 loss_action_cls: 0.0702 loss: 0.0702 2022/08/10 15:02:58 - mmengine - INFO - Epoch(train) [2][2280/3842] lr: 6.1277e-02 eta: 4:47:10 time: 0.5000 data_time: 0.0179 memory: 10484 grad_norm: 0.1717 recall@thr=0.5: 0.6324 prec@thr=0.5: 0.7941 recall@top3: 0.7255 prec@top3: 0.7059 recall@top5: 0.9020 prec@top5: 0.5412 loss_action_cls: 0.0673 loss: 0.0673 2022/08/10 15:03:09 - mmengine - INFO - Epoch(train) [2][2300/3842] lr: 6.1453e-02 eta: 4:46:59 time: 0.5284 data_time: 0.0141 memory: 10484 grad_norm: 0.1674 recall@thr=0.5: 0.7461 prec@thr=0.5: 0.8235 recall@top3: 0.7912 prec@top3: 0.7647 recall@top5: 0.9412 prec@top5: 0.5765 loss_action_cls: 0.0649 loss: 0.0649 2022/08/10 15:03:19 - mmengine - INFO - Epoch(train) [2][2320/3842] lr: 6.1628e-02 eta: 4:46:45 time: 0.5081 data_time: 0.0172 memory: 10484 grad_norm: 0.1834 recall@thr=0.5: 0.5902 prec@thr=0.5: 0.8106 recall@top3: 0.6788 prec@top3: 0.6818 recall@top5: 0.8856 prec@top5: 0.5455 loss_action_cls: 0.0723 loss: 0.0723 2022/08/10 15:03:32 - mmengine - INFO - Epoch(train) [2][2340/3842] lr: 6.1804e-02 eta: 4:46:45 time: 0.6364 data_time: 0.0198 memory: 10484 grad_norm: 0.1790 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.7692 recall@top3: 0.6923 prec@top3: 0.5641 recall@top5: 0.8077 prec@top5: 0.4154 loss_action_cls: 0.0726 loss: 0.0726 2022/08/10 15:03:44 - mmengine - INFO - Epoch(train) [2][2360/3842] lr: 6.1980e-02 eta: 4:46:42 time: 0.5985 data_time: 0.0167 memory: 10484 grad_norm: 0.1648 recall@thr=0.5: 0.5406 prec@thr=0.5: 0.7246 recall@top3: 0.6754 prec@top3: 0.6957 recall@top5: 0.8551 prec@top5: 0.5478 loss_action_cls: 0.0626 loss: 0.0626 2022/08/10 15:03:55 - mmengine - INFO - Epoch(train) [2][2380/3842] lr: 6.2155e-02 eta: 4:46:33 time: 0.5592 data_time: 0.0176 memory: 10484 grad_norm: 0.1719 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7465 recall@top3: 0.8333 prec@top3: 0.6389 recall@top5: 0.9444 prec@top5: 0.4500 loss_action_cls: 0.0608 loss: 0.0608 2022/08/10 15:04:06 - mmengine - INFO - Epoch(train) [2][2400/3842] lr: 6.2331e-02 eta: 4:46:22 time: 0.5307 data_time: 0.0220 memory: 10484 grad_norm: 0.1755 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.6667 recall@top3: 0.7689 prec@top3: 0.6970 recall@top5: 0.8182 prec@top5: 0.4545 loss_action_cls: 0.0661 loss: 0.0661 2022/08/10 15:04:16 - mmengine - INFO - Epoch(train) [2][2420/3842] lr: 6.2507e-02 eta: 4:46:12 time: 0.5329 data_time: 0.0184 memory: 10484 grad_norm: 0.1660 recall@thr=0.5: 0.5818 prec@thr=0.5: 0.6667 recall@top3: 0.6121 prec@top3: 0.4848 recall@top5: 0.8152 prec@top5: 0.4182 loss_action_cls: 0.0724 loss: 0.0724 2022/08/10 15:04:26 - mmengine - INFO - Epoch(train) [2][2440/3842] lr: 6.2683e-02 eta: 4:45:59 time: 0.5154 data_time: 0.0168 memory: 10484 grad_norm: 0.1662 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.5357 recall@top3: 0.7262 prec@top3: 0.5000 recall@top5: 0.8571 prec@top5: 0.3429 loss_action_cls: 0.0686 loss: 0.0686 2022/08/10 15:04:39 - mmengine - INFO - Epoch(train) [2][2460/3842] lr: 6.2858e-02 eta: 4:45:58 time: 0.6311 data_time: 0.0170 memory: 10484 grad_norm: 0.1743 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9389 recall@top3: 0.8500 prec@top3: 0.8667 recall@top5: 0.9667 prec@top5: 0.6133 loss_action_cls: 0.0486 loss: 0.0486 2022/08/10 15:04:50 - mmengine - INFO - Epoch(train) [2][2480/3842] lr: 6.3034e-02 eta: 4:45:49 time: 0.5479 data_time: 0.0177 memory: 10484 grad_norm: 0.1616 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7556 recall@top3: 0.7778 prec@top3: 0.6000 recall@top5: 0.9389 prec@top5: 0.4400 loss_action_cls: 0.0656 loss: 0.0656 2022/08/10 15:05:01 - mmengine - INFO - Epoch(train) [2][2500/3842] lr: 6.3210e-02 eta: 4:45:38 time: 0.5322 data_time: 0.0178 memory: 10484 grad_norm: 0.1589 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.8125 recall@top3: 0.8542 prec@top3: 0.7292 recall@top5: 0.9219 prec@top5: 0.4750 loss_action_cls: 0.0706 loss: 0.0706 2022/08/10 15:05:11 - mmengine - INFO - Epoch(train) [2][2520/3842] lr: 6.3385e-02 eta: 4:45:24 time: 0.5020 data_time: 0.0184 memory: 10484 grad_norm: 0.1757 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.5667 recall@top3: 0.6444 prec@top3: 0.4889 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0703 loss: 0.0703 2022/08/10 15:05:21 - mmengine - INFO - Epoch(train) [2][2540/3842] lr: 6.3561e-02 eta: 4:45:13 time: 0.5247 data_time: 0.0163 memory: 10484 grad_norm: 0.1938 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7843 recall@top3: 0.7843 prec@top3: 0.4510 recall@top5: 0.9804 prec@top5: 0.3647 loss_action_cls: 0.0746 loss: 0.0746 2022/08/10 15:05:34 - mmengine - INFO - Epoch(train) [2][2560/3842] lr: 6.3737e-02 eta: 4:45:13 time: 0.6482 data_time: 0.0201 memory: 10484 grad_norm: 0.1593 recall@thr=0.5: 0.4091 prec@thr=0.5: 0.4848 recall@top3: 0.4848 prec@top3: 0.4848 recall@top5: 0.7879 prec@top5: 0.4364 loss_action_cls: 0.0632 loss: 0.0632 2022/08/10 15:05:45 - mmengine - INFO - Epoch(train) [2][2580/3842] lr: 6.3913e-02 eta: 4:45:01 time: 0.5239 data_time: 0.0176 memory: 10484 grad_norm: 0.1672 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8509 recall@top3: 0.7439 prec@top3: 0.7368 recall@top5: 0.9614 prec@top5: 0.5895 loss_action_cls: 0.0715 loss: 0.0715 2022/08/10 15:05:58 - mmengine - INFO - Epoch(train) [2][2600/3842] lr: 6.4088e-02 eta: 4:45:04 time: 0.6653 data_time: 0.0176 memory: 10484 grad_norm: 0.1687 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8000 recall@top3: 0.8667 prec@top3: 0.6444 recall@top5: 0.9833 prec@top5: 0.4267 loss_action_cls: 0.0702 loss: 0.0702 2022/08/10 15:06:09 - mmengine - INFO - Epoch(train) [2][2620/3842] lr: 6.4264e-02 eta: 4:44:52 time: 0.5247 data_time: 0.0187 memory: 10484 grad_norm: 0.1669 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8627 recall@top3: 0.7647 prec@top3: 0.6863 recall@top5: 0.9118 prec@top5: 0.5176 loss_action_cls: 0.0662 loss: 0.0662 2022/08/10 15:06:19 - mmengine - INFO - Epoch(train) [2][2640/3842] lr: 6.4440e-02 eta: 4:44:39 time: 0.5076 data_time: 0.0161 memory: 10484 grad_norm: 0.1671 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.8000 recall@top3: 0.7333 prec@top3: 0.6444 recall@top5: 0.9111 prec@top5: 0.4667 loss_action_cls: 0.0689 loss: 0.0689 2022/08/10 15:06:29 - mmengine - INFO - Epoch(train) [2][2660/3842] lr: 6.4615e-02 eta: 4:44:28 time: 0.5394 data_time: 0.0204 memory: 10484 grad_norm: 0.1684 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8111 recall@top3: 0.8444 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0617 loss: 0.0617 2022/08/10 15:06:40 - mmengine - INFO - Epoch(train) [2][2680/3842] lr: 6.4791e-02 eta: 4:44:18 time: 0.5323 data_time: 0.0180 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.3133 prec@thr=0.5: 0.4222 recall@top3: 0.4467 prec@top3: 0.2889 recall@top5: 0.7400 prec@top5: 0.3200 loss_action_cls: 0.0618 loss: 0.0618 2022/08/10 15:06:50 - mmengine - INFO - Epoch(train) [2][2700/3842] lr: 6.4967e-02 eta: 4:44:04 time: 0.5011 data_time: 0.0172 memory: 10484 grad_norm: 0.1829 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6812 recall@top3: 0.7240 prec@top3: 0.6458 recall@top5: 0.9219 prec@top5: 0.5250 loss_action_cls: 0.0675 loss: 0.0675 2022/08/10 15:07:01 - mmengine - INFO - Epoch(train) [2][2720/3842] lr: 6.5143e-02 eta: 4:43:52 time: 0.5247 data_time: 0.0168 memory: 10484 grad_norm: 0.1710 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.9524 recall@top3: 0.7810 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0672 loss: 0.0672 2022/08/10 15:07:11 - mmengine - INFO - Epoch(train) [2][2740/3842] lr: 6.5318e-02 eta: 4:43:37 time: 0.4956 data_time: 0.0154 memory: 10484 grad_norm: 0.1720 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6250 recall@top3: 0.7292 prec@top3: 0.5417 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0643 loss: 0.0643 2022/08/10 15:07:21 - mmengine - INFO - Epoch(train) [2][2760/3842] lr: 6.5494e-02 eta: 4:43:25 time: 0.5205 data_time: 0.0155 memory: 10484 grad_norm: 0.1657 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.8611 recall@top3: 0.8009 prec@top3: 0.7593 recall@top5: 0.9583 prec@top5: 0.5556 loss_action_cls: 0.0655 loss: 0.0655 2022/08/10 15:07:31 - mmengine - INFO - Epoch(train) [2][2780/3842] lr: 6.5670e-02 eta: 4:43:11 time: 0.4985 data_time: 0.0160 memory: 10484 grad_norm: 0.1724 recall@thr=0.5: 0.7798 prec@thr=0.5: 0.7857 recall@top3: 0.9107 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4714 loss_action_cls: 0.0640 loss: 0.0640 2022/08/10 15:07:42 - mmengine - INFO - Epoch(train) [2][2800/3842] lr: 6.5845e-02 eta: 4:43:01 time: 0.5399 data_time: 0.0153 memory: 10484 grad_norm: 0.1659 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7255 recall@top3: 0.7941 prec@top3: 0.6667 recall@top5: 0.8922 prec@top5: 0.4588 loss_action_cls: 0.0673 loss: 0.0673 2022/08/10 15:07:52 - mmengine - INFO - Epoch(train) [2][2820/3842] lr: 6.6021e-02 eta: 4:42:47 time: 0.4995 data_time: 0.0171 memory: 10484 grad_norm: 0.1842 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.6343 recall@top3: 0.5417 prec@top3: 0.6296 recall@top5: 0.8120 prec@top5: 0.5889 loss_action_cls: 0.0602 loss: 0.0602 2022/08/10 15:08:03 - mmengine - INFO - Epoch(train) [2][2840/3842] lr: 6.6197e-02 eta: 4:42:37 time: 0.5441 data_time: 0.0154 memory: 10484 grad_norm: 0.1829 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.8039 recall@top3: 0.8725 prec@top3: 0.6863 recall@top5: 0.9412 prec@top5: 0.4588 loss_action_cls: 0.0570 loss: 0.0570 2022/08/10 15:08:13 - mmengine - INFO - Epoch(train) [2][2860/3842] lr: 6.6373e-02 eta: 4:42:23 time: 0.4980 data_time: 0.0173 memory: 10484 grad_norm: 0.1608 recall@thr=0.5: 0.7432 prec@thr=0.5: 0.5864 recall@top3: 0.7679 prec@top3: 0.5679 recall@top5: 0.9247 prec@top5: 0.4370 loss_action_cls: 0.0739 loss: 0.0739 2022/08/10 15:08:23 - mmengine - INFO - Epoch(train) [2][2880/3842] lr: 6.6548e-02 eta: 4:42:11 time: 0.5232 data_time: 0.0162 memory: 10484 grad_norm: 0.1766 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8235 recall@top3: 0.8039 prec@top3: 0.7255 recall@top5: 0.9020 prec@top5: 0.4941 loss_action_cls: 0.0673 loss: 0.0673 2022/08/10 15:08:33 - mmengine - INFO - Epoch(train) [2][2900/3842] lr: 6.6724e-02 eta: 4:41:58 time: 0.5003 data_time: 0.0166 memory: 10484 grad_norm: 0.1686 recall@thr=0.5: 0.3000 prec@thr=0.5: 0.3583 recall@top3: 0.5708 prec@top3: 0.4833 recall@top5: 0.7417 prec@top5: 0.3800 loss_action_cls: 0.0614 loss: 0.0614 2022/08/10 15:08:43 - mmengine - INFO - Epoch(train) [2][2920/3842] lr: 6.6900e-02 eta: 4:41:45 time: 0.5184 data_time: 0.0173 memory: 10484 grad_norm: 0.1792 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.9167 recall@top3: 0.8333 prec@top3: 0.8571 recall@top5: 0.9643 prec@top5: 0.6000 loss_action_cls: 0.0558 loss: 0.0558 2022/08/10 15:08:54 - mmengine - INFO - Epoch(train) [2][2940/3842] lr: 6.7075e-02 eta: 4:41:34 time: 0.5275 data_time: 0.0173 memory: 10484 grad_norm: 0.1723 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8205 recall@top3: 0.8077 prec@top3: 0.8205 recall@top5: 0.9038 prec@top5: 0.5692 loss_action_cls: 0.0612 loss: 0.0612 2022/08/10 15:09:11 - mmengine - INFO - Epoch(train) [2][2960/3842] lr: 6.7251e-02 eta: 4:41:52 time: 0.8409 data_time: 0.0188 memory: 10484 grad_norm: 0.1774 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7018 recall@top3: 0.6754 prec@top3: 0.5439 recall@top5: 0.7982 prec@top5: 0.4000 loss_action_cls: 0.0672 loss: 0.0672 2022/08/10 15:09:22 - mmengine - INFO - Epoch(train) [2][2980/3842] lr: 6.7427e-02 eta: 4:41:44 time: 0.5655 data_time: 0.0265 memory: 10484 grad_norm: 0.1652 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.5222 recall@top3: 0.7278 prec@top3: 0.5333 recall@top5: 0.8500 prec@top5: 0.3867 loss_action_cls: 0.0652 loss: 0.0652 2022/08/10 15:09:37 - mmengine - INFO - Epoch(train) [2][3000/3842] lr: 6.7602e-02 eta: 4:41:51 time: 0.7275 data_time: 0.0156 memory: 10484 grad_norm: 0.1666 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.6759 recall@top3: 0.7130 prec@top3: 0.5556 recall@top5: 0.8565 prec@top5: 0.4111 loss_action_cls: 0.0556 loss: 0.0556 2022/08/10 15:09:47 - mmengine - INFO - Epoch(train) [2][3020/3842] lr: 6.7778e-02 eta: 4:41:40 time: 0.5331 data_time: 0.0230 memory: 10484 grad_norm: 0.1715 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6795 recall@top3: 0.8333 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.4308 loss_action_cls: 0.0681 loss: 0.0681 2022/08/10 15:09:57 - mmengine - INFO - Epoch(train) [2][3040/3842] lr: 6.7954e-02 eta: 4:41:26 time: 0.4993 data_time: 0.0182 memory: 10484 grad_norm: 0.1651 recall@thr=0.5: 0.3690 prec@thr=0.5: 0.5317 recall@top3: 0.6151 prec@top3: 0.5397 recall@top5: 0.8571 prec@top5: 0.4571 loss_action_cls: 0.0749 loss: 0.0749 2022/08/10 15:10:09 - mmengine - INFO - Epoch(train) [2][3060/3842] lr: 6.8130e-02 eta: 4:41:21 time: 0.5907 data_time: 0.0152 memory: 10484 grad_norm: 0.1738 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.4375 recall@top3: 0.7969 prec@top3: 0.5208 recall@top5: 0.9531 prec@top5: 0.4000 loss_action_cls: 0.0634 loss: 0.0634 2022/08/10 15:10:21 - mmengine - INFO - Epoch(train) [2][3080/3842] lr: 6.8305e-02 eta: 4:41:13 time: 0.5754 data_time: 0.0186 memory: 10484 grad_norm: 0.1692 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8205 recall@top3: 0.8205 prec@top3: 0.6410 recall@top5: 0.8718 prec@top5: 0.4154 loss_action_cls: 0.0640 loss: 0.0640 2022/08/10 15:10:31 - mmengine - INFO - Epoch(train) [2][3100/3842] lr: 6.8481e-02 eta: 4:41:02 time: 0.5277 data_time: 0.0177 memory: 10484 grad_norm: 0.1590 recall@thr=0.5: 0.4206 prec@thr=0.5: 0.4286 recall@top3: 0.6548 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.4667 loss_action_cls: 0.0644 loss: 0.0644 2022/08/10 15:10:41 - mmengine - INFO - Epoch(train) [2][3120/3842] lr: 6.8657e-02 eta: 4:40:49 time: 0.5093 data_time: 0.0180 memory: 10484 grad_norm: 0.1659 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6574 recall@top3: 0.7778 prec@top3: 0.5926 recall@top5: 0.9306 prec@top5: 0.4556 loss_action_cls: 0.0568 loss: 0.0568 2022/08/10 15:10:52 - mmengine - INFO - Epoch(train) [2][3140/3842] lr: 6.8832e-02 eta: 4:40:37 time: 0.5219 data_time: 0.0174 memory: 10484 grad_norm: 0.1736 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.8444 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.8722 prec@top5: 0.4400 loss_action_cls: 0.0589 loss: 0.0589 2022/08/10 15:11:01 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 15:11:02 - mmengine - INFO - Epoch(train) [2][3160/3842] lr: 6.9008e-02 eta: 4:40:23 time: 0.4992 data_time: 0.0191 memory: 10484 grad_norm: 0.1656 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7187 recall@top3: 0.8021 prec@top3: 0.5000 recall@top5: 0.8958 prec@top5: 0.3500 loss_action_cls: 0.0721 loss: 0.0721 2022/08/10 15:11:12 - mmengine - INFO - Epoch(train) [2][3180/3842] lr: 6.9184e-02 eta: 4:40:11 time: 0.5249 data_time: 0.0138 memory: 10484 grad_norm: 0.1796 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.7213 recall@top3: 0.7167 prec@top3: 0.6296 recall@top5: 0.9361 prec@top5: 0.5000 loss_action_cls: 0.0706 loss: 0.0706 2022/08/10 15:11:23 - mmengine - INFO - Epoch(train) [2][3200/3842] lr: 6.9360e-02 eta: 4:39:59 time: 0.5183 data_time: 0.0175 memory: 10484 grad_norm: 0.1905 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.8636 recall@top3: 0.6667 prec@top3: 0.6061 recall@top5: 0.8939 prec@top5: 0.4545 loss_action_cls: 0.0680 loss: 0.0680 2022/08/10 15:11:33 - mmengine - INFO - Epoch(train) [2][3220/3842] lr: 6.9535e-02 eta: 4:39:48 time: 0.5272 data_time: 0.0176 memory: 10484 grad_norm: 0.1633 recall@thr=0.5: 0.7862 prec@thr=0.5: 0.8007 recall@top3: 0.8152 prec@top3: 0.7826 recall@top5: 0.9420 prec@top5: 0.5478 loss_action_cls: 0.0591 loss: 0.0591 2022/08/10 15:11:43 - mmengine - INFO - Epoch(train) [2][3240/3842] lr: 6.9711e-02 eta: 4:39:34 time: 0.5003 data_time: 0.0172 memory: 10484 grad_norm: 0.1645 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8333 recall@top3: 0.7917 prec@top3: 0.6458 recall@top5: 0.9271 prec@top5: 0.4375 loss_action_cls: 0.0632 loss: 0.0632 2022/08/10 15:11:54 - mmengine - INFO - Epoch(train) [2][3260/3842] lr: 6.9887e-02 eta: 4:39:22 time: 0.5209 data_time: 0.0159 memory: 10484 grad_norm: 0.1498 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8125 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0760 loss: 0.0760 2022/08/10 15:12:04 - mmengine - INFO - Epoch(train) [2][3280/3842] lr: 7.0062e-02 eta: 4:39:08 time: 0.5011 data_time: 0.0160 memory: 10484 grad_norm: 0.1705 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8750 recall@top3: 0.8750 prec@top3: 0.7917 recall@top5: 0.9375 prec@top5: 0.5000 loss_action_cls: 0.0647 loss: 0.0647 2022/08/10 15:12:14 - mmengine - INFO - Epoch(train) [2][3300/3842] lr: 7.0238e-02 eta: 4:38:57 time: 0.5266 data_time: 0.0180 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.9107 prec@thr=0.5: 0.7738 recall@top3: 0.9286 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0576 loss: 0.0576 2022/08/10 15:12:24 - mmengine - INFO - Epoch(train) [2][3320/3842] lr: 7.0414e-02 eta: 4:38:43 time: 0.4984 data_time: 0.0167 memory: 10484 grad_norm: 0.1573 recall@thr=0.5: 0.4125 prec@thr=0.5: 0.6917 recall@top3: 0.6000 prec@top3: 0.5667 recall@top5: 0.9042 prec@top5: 0.5200 loss_action_cls: 0.0713 loss: 0.0713 2022/08/10 15:12:35 - mmengine - INFO - Epoch(train) [2][3340/3842] lr: 7.0590e-02 eta: 4:38:31 time: 0.5208 data_time: 0.0156 memory: 10484 grad_norm: 0.1692 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.6667 recall@top3: 0.8590 prec@top3: 0.5897 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0675 loss: 0.0675 2022/08/10 15:12:46 - mmengine - INFO - Epoch(train) [2][3360/3842] lr: 7.0765e-02 eta: 4:38:25 time: 0.5864 data_time: 0.0947 memory: 10484 grad_norm: 0.1563 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8611 recall@top3: 0.8472 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0572 loss: 0.0572 2022/08/10 15:12:57 - mmengine - INFO - Epoch(train) [2][3380/3842] lr: 7.0941e-02 eta: 4:38:16 time: 0.5547 data_time: 0.0159 memory: 10484 grad_norm: 0.1689 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5357 recall@top3: 0.6190 prec@top3: 0.4762 recall@top5: 0.7500 prec@top5: 0.3286 loss_action_cls: 0.0561 loss: 0.0561 2022/08/10 15:13:09 - mmengine - INFO - Epoch(train) [2][3400/3842] lr: 7.1117e-02 eta: 4:38:07 time: 0.5588 data_time: 0.0164 memory: 10484 grad_norm: 0.1646 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.5343 recall@top3: 0.5882 prec@top3: 0.4902 recall@top5: 0.8627 prec@top5: 0.4235 loss_action_cls: 0.0642 loss: 0.0642 2022/08/10 15:13:20 - mmengine - INFO - Epoch(train) [2][3420/3842] lr: 7.1292e-02 eta: 4:38:00 time: 0.5751 data_time: 0.0190 memory: 10484 grad_norm: 0.1717 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6806 recall@top3: 0.5972 prec@top3: 0.6389 recall@top5: 0.7500 prec@top5: 0.5000 loss_action_cls: 0.0581 loss: 0.0581 2022/08/10 15:13:31 - mmengine - INFO - Epoch(train) [2][3440/3842] lr: 7.1468e-02 eta: 4:37:48 time: 0.5269 data_time: 0.0187 memory: 10484 grad_norm: 0.1712 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7500 recall@top3: 0.8042 prec@top3: 0.6833 recall@top5: 0.8833 prec@top5: 0.4600 loss_action_cls: 0.0592 loss: 0.0592 2022/08/10 15:13:43 - mmengine - INFO - Epoch(train) [2][3460/3842] lr: 7.1644e-02 eta: 4:37:47 time: 0.6432 data_time: 0.0504 memory: 10484 grad_norm: 0.1713 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.9825 recall@top3: 0.7719 prec@top3: 0.6316 recall@top5: 0.8070 prec@top5: 0.4211 loss_action_cls: 0.0605 loss: 0.0605 2022/08/10 15:13:55 - mmengine - INFO - Epoch(train) [2][3480/3842] lr: 7.1820e-02 eta: 4:37:38 time: 0.5558 data_time: 0.0471 memory: 10484 grad_norm: 0.1687 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6053 recall@top3: 0.6930 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.5263 loss_action_cls: 0.0580 loss: 0.0580 2022/08/10 15:14:05 - mmengine - INFO - Epoch(train) [2][3500/3842] lr: 7.1995e-02 eta: 4:37:27 time: 0.5340 data_time: 0.0179 memory: 10484 grad_norm: 0.1582 recall@thr=0.5: 0.6630 prec@thr=0.5: 0.7645 recall@top3: 0.9565 prec@top3: 0.7826 recall@top5: 0.9891 prec@top5: 0.4957 loss_action_cls: 0.0568 loss: 0.0568 2022/08/10 15:14:16 - mmengine - INFO - Epoch(train) [2][3520/3842] lr: 7.2171e-02 eta: 4:37:15 time: 0.5237 data_time: 0.0165 memory: 10484 grad_norm: 0.1717 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7024 recall@top3: 0.7679 prec@top3: 0.5952 recall@top5: 0.9464 prec@top5: 0.4857 loss_action_cls: 0.0539 loss: 0.0539 2022/08/10 15:14:26 - mmengine - INFO - Epoch(train) [2][3540/3842] lr: 7.2347e-02 eta: 4:37:04 time: 0.5249 data_time: 0.0174 memory: 10484 grad_norm: 0.1635 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6667 recall@top3: 0.6607 prec@top3: 0.5476 recall@top5: 0.8036 prec@top5: 0.3857 loss_action_cls: 0.0620 loss: 0.0620 2022/08/10 15:14:40 - mmengine - INFO - Epoch(train) [2][3560/3842] lr: 7.2522e-02 eta: 4:37:08 time: 0.7127 data_time: 0.0181 memory: 10484 grad_norm: 0.1795 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6927 recall@top3: 0.6771 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0606 loss: 0.0606 2022/08/10 15:14:51 - mmengine - INFO - Epoch(train) [2][3580/3842] lr: 7.2698e-02 eta: 4:36:56 time: 0.5213 data_time: 0.0183 memory: 10484 grad_norm: 0.1554 recall@thr=0.5: 0.4345 prec@thr=0.5: 0.5714 recall@top3: 0.5952 prec@top3: 0.4286 recall@top5: 0.9464 prec@top5: 0.4143 loss_action_cls: 0.0651 loss: 0.0651 2022/08/10 15:15:01 - mmengine - INFO - Epoch(train) [2][3600/3842] lr: 7.2874e-02 eta: 4:36:44 time: 0.5176 data_time: 0.0169 memory: 10484 grad_norm: 0.1829 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.6930 recall@top3: 0.8596 prec@top3: 0.5965 recall@top5: 0.9825 prec@top5: 0.4316 loss_action_cls: 0.0675 loss: 0.0675 2022/08/10 15:15:12 - mmengine - INFO - Epoch(train) [2][3620/3842] lr: 7.3050e-02 eta: 4:36:32 time: 0.5293 data_time: 0.0189 memory: 10484 grad_norm: 0.1803 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.7292 recall@top3: 0.6823 prec@top3: 0.6042 recall@top5: 0.8333 prec@top5: 0.4750 loss_action_cls: 0.0699 loss: 0.0699 2022/08/10 15:15:22 - mmengine - INFO - Epoch(train) [2][3640/3842] lr: 7.3225e-02 eta: 4:36:20 time: 0.5193 data_time: 0.0167 memory: 10484 grad_norm: 0.1495 recall@thr=0.5: 0.5757 prec@thr=0.5: 0.6632 recall@top3: 0.5826 prec@top3: 0.5556 recall@top5: 0.7694 prec@top5: 0.4583 loss_action_cls: 0.0595 loss: 0.0595 2022/08/10 15:15:32 - mmengine - INFO - Epoch(train) [2][3660/3842] lr: 7.3401e-02 eta: 4:36:06 time: 0.5006 data_time: 0.0196 memory: 10484 grad_norm: 0.1512 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.5937 recall@top3: 0.6667 prec@top3: 0.6250 recall@top5: 0.9479 prec@top5: 0.5500 loss_action_cls: 0.0691 loss: 0.0691 2022/08/10 15:15:43 - mmengine - INFO - Epoch(train) [2][3680/3842] lr: 7.3577e-02 eta: 4:35:55 time: 0.5215 data_time: 0.0162 memory: 10484 grad_norm: 0.1589 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9271 recall@top3: 0.8229 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0582 loss: 0.0582 2022/08/10 15:15:53 - mmengine - INFO - Epoch(train) [2][3700/3842] lr: 7.3752e-02 eta: 4:35:43 time: 0.5293 data_time: 0.0190 memory: 10484 grad_norm: 0.1562 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8910 recall@top3: 0.8646 prec@top3: 0.8333 recall@top5: 0.9757 prec@top5: 0.5833 loss_action_cls: 0.0612 loss: 0.0612 2022/08/10 15:16:05 - mmengine - INFO - Epoch(train) [2][3720/3842] lr: 7.3928e-02 eta: 4:35:37 time: 0.5904 data_time: 0.0180 memory: 10484 grad_norm: 0.1589 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.5476 recall@top3: 0.7500 prec@top3: 0.4286 recall@top5: 0.7857 prec@top5: 0.2714 loss_action_cls: 0.0606 loss: 0.0606 2022/08/10 15:16:15 - mmengine - INFO - Epoch(train) [2][3740/3842] lr: 7.4104e-02 eta: 4:35:25 time: 0.5225 data_time: 0.0165 memory: 10484 grad_norm: 0.1561 recall@thr=0.5: 0.5231 prec@thr=0.5: 0.5889 recall@top3: 0.6435 prec@top3: 0.5741 recall@top5: 0.8843 prec@top5: 0.4778 loss_action_cls: 0.0713 loss: 0.0713 2022/08/10 15:16:26 - mmengine - INFO - Epoch(train) [2][3760/3842] lr: 7.4280e-02 eta: 4:35:14 time: 0.5267 data_time: 0.0165 memory: 10484 grad_norm: 0.1678 recall@thr=0.5: 0.4794 prec@thr=0.5: 0.7222 recall@top3: 0.6119 prec@top3: 0.5556 recall@top5: 0.7659 prec@top5: 0.4381 loss_action_cls: 0.0690 loss: 0.0690 2022/08/10 15:16:39 - mmengine - INFO - Epoch(train) [2][3780/3842] lr: 7.4455e-02 eta: 4:35:11 time: 0.6313 data_time: 0.0251 memory: 10484 grad_norm: 0.1560 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.7143 recall@top3: 0.7857 prec@top3: 0.7381 recall@top5: 0.8929 prec@top5: 0.4857 loss_action_cls: 0.0648 loss: 0.0648 2022/08/10 15:16:49 - mmengine - INFO - Epoch(train) [2][3800/3842] lr: 7.4631e-02 eta: 4:34:58 time: 0.5052 data_time: 0.0166 memory: 10484 grad_norm: 0.1612 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7549 recall@top3: 0.7745 prec@top3: 0.6863 recall@top5: 0.9216 prec@top5: 0.4941 loss_action_cls: 0.0670 loss: 0.0670 2022/08/10 15:16:59 - mmengine - INFO - Epoch(train) [2][3820/3842] lr: 7.4807e-02 eta: 4:34:46 time: 0.5258 data_time: 0.0177 memory: 10484 grad_norm: 0.1584 recall@thr=0.5: 0.4103 prec@thr=0.5: 0.7179 recall@top3: 0.6795 prec@top3: 0.6410 recall@top5: 0.8462 prec@top5: 0.4769 loss_action_cls: 0.0587 loss: 0.0587 2022/08/10 15:17:09 - mmengine - INFO - Epoch(train) [2][3840/3842] lr: 7.4982e-02 eta: 4:34:32 time: 0.4963 data_time: 0.0173 memory: 10484 grad_norm: 0.1607 recall@thr=0.5: 0.2153 prec@thr=0.5: 0.2167 recall@top3: 0.5208 prec@top3: 0.4722 recall@top5: 0.8958 prec@top5: 0.4833 loss_action_cls: 0.0556 loss: 0.0556 2022/08/10 15:17:10 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 15:17:10 - mmengine - INFO - Epoch(train) [2][3842/3842] lr: 7.5000e-02 eta: 4:34:32 time: 0.4821 data_time: 0.0160 memory: 10484 grad_norm: 0.1637 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8056 recall@top3: 0.7333 prec@top3: 0.7778 recall@top5: 0.9667 prec@top5: 0.6333 loss_action_cls: 0.0565 loss: 0.0565 2022/08/10 15:17:10 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/10 15:17:17 - mmengine - INFO - Epoch(val) [2][20/6282] eta: 0:08:22 time: 0.0803 data_time: 0.0251 memory: 703 2022/08/10 15:17:18 - mmengine - INFO - Epoch(val) [2][40/6282] eta: 0:06:02 time: 0.0580 data_time: 0.0081 memory: 703 2022/08/10 15:17:19 - mmengine - INFO - Epoch(val) [2][60/6282] eta: 0:06:08 time: 0.0592 data_time: 0.0101 memory: 703 2022/08/10 15:17:20 - mmengine - INFO - Epoch(val) [2][80/6282] eta: 0:06:05 time: 0.0589 data_time: 0.0084 memory: 703 2022/08/10 15:17:21 - mmengine - INFO - Epoch(val) [2][100/6282] eta: 0:05:45 time: 0.0558 data_time: 0.0064 memory: 703 2022/08/10 15:17:23 - mmengine - INFO - Epoch(val) [2][120/6282] eta: 0:06:45 time: 0.0658 data_time: 0.0111 memory: 809 2022/08/10 15:17:24 - mmengine - INFO - Epoch(val) [2][140/6282] eta: 0:07:44 time: 0.0757 data_time: 0.0097 memory: 809 2022/08/10 15:17:26 - mmengine - INFO - Epoch(val) [2][160/6282] eta: 0:07:39 time: 0.0750 data_time: 0.0106 memory: 809 2022/08/10 15:17:27 - mmengine - INFO - Epoch(val) [2][180/6282] eta: 0:07:26 time: 0.0731 data_time: 0.0078 memory: 809 2022/08/10 15:17:29 - mmengine - INFO - Epoch(val) [2][200/6282] eta: 0:07:32 time: 0.0744 data_time: 0.0117 memory: 809 2022/08/10 15:17:30 - mmengine - INFO - Epoch(val) [2][220/6282] eta: 0:05:45 time: 0.0570 data_time: 0.0070 memory: 738 2022/08/10 15:17:31 - mmengine - INFO - Epoch(val) [2][240/6282] eta: 0:08:27 time: 0.0839 data_time: 0.0078 memory: 738 2022/08/10 15:17:33 - mmengine - INFO - Epoch(val) [2][260/6282] eta: 0:06:24 time: 0.0638 data_time: 0.0089 memory: 738 2022/08/10 15:17:34 - mmengine - INFO - Epoch(val) [2][280/6282] eta: 0:06:04 time: 0.0607 data_time: 0.0092 memory: 738 2022/08/10 15:17:35 - mmengine - INFO - Epoch(val) [2][300/6282] eta: 0:06:26 time: 0.0646 data_time: 0.0070 memory: 809 2022/08/10 15:17:37 - mmengine - INFO - Epoch(val) [2][320/6282] eta: 0:08:26 time: 0.0849 data_time: 0.0264 memory: 809 2022/08/10 15:17:39 - mmengine - INFO - Epoch(val) [2][340/6282] eta: 0:09:40 time: 0.0977 data_time: 0.0330 memory: 809 2022/08/10 15:17:41 - mmengine - INFO - Epoch(val) [2][360/6282] eta: 0:09:15 time: 0.0939 data_time: 0.0286 memory: 809 2022/08/10 15:17:43 - mmengine - INFO - Epoch(val) [2][380/6282] eta: 0:10:36 time: 0.1078 data_time: 0.0453 memory: 809 2022/08/10 15:17:45 - mmengine - INFO - Epoch(val) [2][400/6282] eta: 0:08:09 time: 0.0833 data_time: 0.0257 memory: 809 2022/08/10 15:17:46 - mmengine - INFO - Epoch(val) [2][420/6282] eta: 0:06:19 time: 0.0648 data_time: 0.0086 memory: 743 2022/08/10 15:17:47 - mmengine - INFO - Epoch(val) [2][440/6282] eta: 0:06:13 time: 0.0639 data_time: 0.0114 memory: 743 2022/08/10 15:17:48 - mmengine - INFO - Epoch(val) [2][460/6282] eta: 0:06:02 time: 0.0622 data_time: 0.0090 memory: 743 2022/08/10 15:17:50 - mmengine - INFO - Epoch(val) [2][480/6282] eta: 0:06:21 time: 0.0657 data_time: 0.0097 memory: 743 2022/08/10 15:17:51 - mmengine - INFO - Epoch(val) [2][500/6282] eta: 0:08:06 time: 0.0842 data_time: 0.0112 memory: 743 2022/08/10 15:17:53 - mmengine - INFO - Epoch(val) [2][520/6282] eta: 0:05:44 time: 0.0599 data_time: 0.0094 memory: 738 2022/08/10 15:17:54 - mmengine - INFO - Epoch(val) [2][540/6282] eta: 0:05:49 time: 0.0608 data_time: 0.0084 memory: 738 2022/08/10 15:17:55 - mmengine - INFO - Epoch(val) [2][560/6282] eta: 0:05:43 time: 0.0601 data_time: 0.0084 memory: 738 2022/08/10 15:17:56 - mmengine - INFO - Epoch(val) [2][580/6282] eta: 0:05:25 time: 0.0571 data_time: 0.0086 memory: 738 2022/08/10 15:17:57 - mmengine - INFO - Epoch(val) [2][600/6282] eta: 0:05:01 time: 0.0531 data_time: 0.0054 memory: 738 2022/08/10 15:17:58 - mmengine - INFO - Epoch(val) [2][620/6282] eta: 0:05:08 time: 0.0545 data_time: 0.0060 memory: 738 2022/08/10 15:17:59 - mmengine - INFO - Epoch(val) [2][640/6282] eta: 0:04:52 time: 0.0518 data_time: 0.0054 memory: 733 2022/08/10 15:18:00 - mmengine - INFO - Epoch(val) [2][660/6282] eta: 0:04:54 time: 0.0524 data_time: 0.0047 memory: 733 2022/08/10 15:18:01 - mmengine - INFO - Epoch(val) [2][680/6282] eta: 0:04:45 time: 0.0510 data_time: 0.0050 memory: 733 2022/08/10 15:18:03 - mmengine - INFO - Epoch(val) [2][700/6282] eta: 0:05:01 time: 0.0541 data_time: 0.0068 memory: 733 2022/08/10 15:18:05 - mmengine - INFO - Epoch(val) [2][720/6282] eta: 0:09:47 time: 0.1057 data_time: 0.0494 memory: 809 2022/08/10 15:18:07 - mmengine - INFO - Epoch(val) [2][740/6282] eta: 0:13:01 time: 0.1410 data_time: 0.0848 memory: 809 2022/08/10 15:18:10 - mmengine - INFO - Epoch(val) [2][760/6282] eta: 0:11:38 time: 0.1265 data_time: 0.0694 memory: 809 2022/08/10 15:18:13 - mmengine - INFO - Epoch(val) [2][780/6282] eta: 0:15:42 time: 0.1712 data_time: 0.1062 memory: 809 2022/08/10 15:18:17 - mmengine - INFO - Epoch(val) [2][800/6282] eta: 0:15:38 time: 0.1713 data_time: 0.1081 memory: 809 2022/08/10 15:18:19 - mmengine - INFO - Epoch(val) [2][820/6282] eta: 0:09:15 time: 0.1017 data_time: 0.0410 memory: 809 2022/08/10 15:18:20 - mmengine - INFO - Epoch(val) [2][840/6282] eta: 0:05:43 time: 0.0630 data_time: 0.0084 memory: 738 2022/08/10 15:18:21 - mmengine - INFO - Epoch(val) [2][860/6282] eta: 0:05:49 time: 0.0645 data_time: 0.0093 memory: 738 2022/08/10 15:18:23 - mmengine - INFO - Epoch(val) [2][880/6282] eta: 0:05:43 time: 0.0637 data_time: 0.0111 memory: 738 2022/08/10 15:18:24 - mmengine - INFO - Epoch(val) [2][900/6282] eta: 0:05:31 time: 0.0617 data_time: 0.0106 memory: 738 2022/08/10 15:18:25 - mmengine - INFO - Epoch(val) [2][920/6282] eta: 0:05:42 time: 0.0640 data_time: 0.0098 memory: 738 2022/08/10 15:18:26 - mmengine - INFO - Epoch(val) [2][940/6282] eta: 0:05:15 time: 0.0591 data_time: 0.0080 memory: 703 2022/08/10 15:18:28 - mmengine - INFO - Epoch(val) [2][960/6282] eta: 0:08:02 time: 0.0906 data_time: 0.0133 memory: 703 2022/08/10 15:18:29 - mmengine - INFO - Epoch(val) [2][980/6282] eta: 0:05:31 time: 0.0625 data_time: 0.0125 memory: 703 2022/08/10 15:18:31 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:05:37 time: 0.0639 data_time: 0.0096 memory: 703 2022/08/10 15:18:32 - mmengine - INFO - Epoch(val) [2][1020/6282] eta: 0:05:22 time: 0.0613 data_time: 0.0104 memory: 738 2022/08/10 15:18:33 - mmengine - INFO - Epoch(val) [2][1040/6282] eta: 0:05:05 time: 0.0584 data_time: 0.0077 memory: 738 2022/08/10 15:18:34 - mmengine - INFO - Epoch(val) [2][1060/6282] eta: 0:05:12 time: 0.0598 data_time: 0.0083 memory: 738 2022/08/10 15:18:37 - mmengine - INFO - Epoch(val) [2][1080/6282] eta: 0:10:55 time: 0.1259 data_time: 0.0812 memory: 738 2022/08/10 15:18:39 - mmengine - INFO - Epoch(val) [2][1100/6282] eta: 0:08:22 time: 0.0969 data_time: 0.0323 memory: 738 2022/08/10 15:18:40 - mmengine - INFO - Epoch(val) [2][1120/6282] eta: 0:04:42 time: 0.0547 data_time: 0.0056 memory: 738 2022/08/10 15:18:42 - mmengine - INFO - Epoch(val) [2][1140/6282] eta: 0:06:46 time: 0.0790 data_time: 0.0304 memory: 738 2022/08/10 15:18:43 - mmengine - INFO - Epoch(val) [2][1160/6282] eta: 0:04:30 time: 0.0529 data_time: 0.0053 memory: 738 2022/08/10 15:18:44 - mmengine - INFO - Epoch(val) [2][1180/6282] eta: 0:04:31 time: 0.0533 data_time: 0.0052 memory: 738 2022/08/10 15:18:45 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:04:40 time: 0.0553 data_time: 0.0054 memory: 738 2022/08/10 15:18:46 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:04:51 time: 0.0576 data_time: 0.0062 memory: 738 2022/08/10 15:18:49 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:11:14 time: 0.1338 data_time: 0.0760 memory: 809 2022/08/10 15:18:51 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:11:29 time: 0.1373 data_time: 0.0596 memory: 809 2022/08/10 15:18:54 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:11:17 time: 0.1353 data_time: 0.0738 memory: 809 2022/08/10 15:18:57 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:10:27 time: 0.1259 data_time: 0.0661 memory: 809 2022/08/10 15:19:00 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:12:28 time: 0.1508 data_time: 0.0910 memory: 809 2022/08/10 15:19:02 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:10:06 time: 0.1226 data_time: 0.0624 memory: 809 2022/08/10 15:19:05 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:12:12 time: 0.1488 data_time: 0.0887 memory: 809 2022/08/10 15:19:07 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:09:59 time: 0.1224 data_time: 0.0626 memory: 809 2022/08/10 15:19:11 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:14:22 time: 0.1766 data_time: 0.1084 memory: 809 2022/08/10 15:19:14 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:11:04 time: 0.1367 data_time: 0.0750 memory: 809 2022/08/10 15:19:15 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:07:00 time: 0.0869 data_time: 0.0245 memory: 809 2022/08/10 15:19:17 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:05:36 time: 0.0698 data_time: 0.0077 memory: 809 2022/08/10 15:19:18 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:05:38 time: 0.0705 data_time: 0.0086 memory: 809 2022/08/10 15:19:20 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:05:35 time: 0.0701 data_time: 0.0091 memory: 809 2022/08/10 15:19:21 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:05:43 time: 0.0721 data_time: 0.0104 memory: 911 2022/08/10 15:19:23 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:06:24 time: 0.0810 data_time: 0.0075 memory: 911 2022/08/10 15:19:25 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:08:00 time: 0.1018 data_time: 0.0223 memory: 911 2022/08/10 15:19:27 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:09:25 time: 0.1203 data_time: 0.0469 memory: 911 2022/08/10 15:19:29 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:07:19 time: 0.0938 data_time: 0.0210 memory: 911 2022/08/10 15:19:31 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:06:06 time: 0.0787 data_time: 0.0064 memory: 911 2022/08/10 15:19:32 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:04:52 time: 0.0630 data_time: 0.0058 memory: 809 2022/08/10 15:19:33 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:05:06 time: 0.0664 data_time: 0.0063 memory: 809 2022/08/10 15:19:35 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:05:03 time: 0.0659 data_time: 0.0057 memory: 809 2022/08/10 15:19:36 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:05:06 time: 0.0669 data_time: 0.0059 memory: 809 2022/08/10 15:19:37 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:05:01 time: 0.0660 data_time: 0.0070 memory: 809 2022/08/10 15:19:38 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:04:52 time: 0.0644 data_time: 0.0055 memory: 809 2022/08/10 15:19:40 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:04:46 time: 0.0634 data_time: 0.0062 memory: 809 2022/08/10 15:19:42 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:09:11 time: 0.1226 data_time: 0.0372 memory: 809 2022/08/10 15:19:44 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:08:29 time: 0.1138 data_time: 0.0585 memory: 809 2022/08/10 15:19:46 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:04:37 time: 0.0621 data_time: 0.0064 memory: 809 2022/08/10 15:19:47 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:05:10 time: 0.0699 data_time: 0.0125 memory: 809 2022/08/10 15:19:50 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:11:03 time: 0.1502 data_time: 0.0924 memory: 809 2022/08/10 15:19:52 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:08:36 time: 0.1174 data_time: 0.0623 memory: 809 2022/08/10 15:19:56 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:11:30 time: 0.1576 data_time: 0.0984 memory: 809 2022/08/10 15:19:58 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:10:11 time: 0.1402 data_time: 0.0763 memory: 809 2022/08/10 15:20:01 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:10:07 time: 0.1399 data_time: 0.0768 memory: 809 2022/08/10 15:20:02 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:04:26 time: 0.0617 data_time: 0.0094 memory: 743 2022/08/10 15:20:04 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:04:37 time: 0.0646 data_time: 0.0088 memory: 743 2022/08/10 15:20:05 - mmengine - INFO - Epoch(val) [2][2000/6282] eta: 0:04:44 time: 0.0664 data_time: 0.0093 memory: 743 2022/08/10 15:20:06 - mmengine - INFO - Epoch(val) [2][2020/6282] eta: 0:04:22 time: 0.0615 data_time: 0.0090 memory: 743 2022/08/10 15:20:08 - mmengine - INFO - Epoch(val) [2][2040/6282] eta: 0:04:39 time: 0.0658 data_time: 0.0121 memory: 743 2022/08/10 15:20:09 - mmengine - INFO - Epoch(val) [2][2060/6282] eta: 0:04:21 time: 0.0620 data_time: 0.0081 memory: 743 2022/08/10 15:20:10 - mmengine - INFO - Epoch(val) [2][2080/6282] eta: 0:04:37 time: 0.0660 data_time: 0.0092 memory: 743 2022/08/10 15:20:12 - mmengine - INFO - Epoch(val) [2][2100/6282] eta: 0:04:27 time: 0.0640 data_time: 0.0096 memory: 743 2022/08/10 15:20:13 - mmengine - INFO - Epoch(val) [2][2120/6282] eta: 0:04:19 time: 0.0624 data_time: 0.0093 memory: 743 2022/08/10 15:20:14 - mmengine - INFO - Epoch(val) [2][2140/6282] eta: 0:04:21 time: 0.0631 data_time: 0.0100 memory: 743 2022/08/10 15:20:15 - mmengine - INFO - Epoch(val) [2][2160/6282] eta: 0:04:04 time: 0.0592 data_time: 0.0085 memory: 738 2022/08/10 15:20:16 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:04:18 time: 0.0630 data_time: 0.0104 memory: 738 2022/08/10 15:20:18 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:04:09 time: 0.0611 data_time: 0.0082 memory: 738 2022/08/10 15:20:19 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:03:54 time: 0.0577 data_time: 0.0080 memory: 738 2022/08/10 15:20:20 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:03:51 time: 0.0573 data_time: 0.0072 memory: 738 2022/08/10 15:20:21 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:04:02 time: 0.0602 data_time: 0.0080 memory: 743 2022/08/10 15:20:22 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:03:57 time: 0.0593 data_time: 0.0068 memory: 743 2022/08/10 15:20:24 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:03:48 time: 0.0575 data_time: 0.0087 memory: 743 2022/08/10 15:20:25 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:03:52 time: 0.0587 data_time: 0.0100 memory: 743 2022/08/10 15:20:26 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:03:39 time: 0.0557 data_time: 0.0052 memory: 743 2022/08/10 15:20:27 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:03:40 time: 0.0562 data_time: 0.0078 memory: 738 2022/08/10 15:20:28 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:03:41 time: 0.0567 data_time: 0.0062 memory: 738 2022/08/10 15:20:29 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:03:46 time: 0.0584 data_time: 0.0076 memory: 738 2022/08/10 15:20:30 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:03:35 time: 0.0559 data_time: 0.0049 memory: 738 2022/08/10 15:20:32 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:04:11 time: 0.0655 data_time: 0.0055 memory: 738 2022/08/10 15:20:35 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:10:08 time: 0.1593 data_time: 0.1028 memory: 809 2022/08/10 15:20:36 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:04:22 time: 0.0691 data_time: 0.0153 memory: 809 2022/08/10 15:20:42 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:18:40 time: 0.2963 data_time: 0.2392 memory: 809 2022/08/10 15:20:44 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:04:21 time: 0.0696 data_time: 0.0129 memory: 809 2022/08/10 15:20:45 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:03:52 time: 0.0621 data_time: 0.0046 memory: 809 2022/08/10 15:20:47 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:07:00 time: 0.1129 data_time: 0.0590 memory: 809 2022/08/10 15:20:50 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:08:15 time: 0.1340 data_time: 0.0750 memory: 809 2022/08/10 15:20:53 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:10:08 time: 0.1653 data_time: 0.1040 memory: 809 2022/08/10 15:20:56 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:08:06 time: 0.1327 data_time: 0.0703 memory: 809 2022/08/10 15:20:59 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:09:57 time: 0.1640 data_time: 0.1022 memory: 809 2022/08/10 15:21:01 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:05:01 time: 0.0833 data_time: 0.0073 memory: 902 2022/08/10 15:21:02 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:05:02 time: 0.0841 data_time: 0.0095 memory: 902 2022/08/10 15:21:04 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:04:42 time: 0.0788 data_time: 0.0075 memory: 902 2022/08/10 15:21:06 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:05:02 time: 0.0849 data_time: 0.0108 memory: 902 2022/08/10 15:21:07 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:04:36 time: 0.0782 data_time: 0.0081 memory: 902 2022/08/10 15:21:08 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:03:30 time: 0.0597 data_time: 0.0086 memory: 743 2022/08/10 15:21:10 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:03:19 time: 0.0570 data_time: 0.0061 memory: 743 2022/08/10 15:21:11 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:03:24 time: 0.0588 data_time: 0.0088 memory: 743 2022/08/10 15:21:12 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:03:28 time: 0.0604 data_time: 0.0108 memory: 743 2022/08/10 15:21:13 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:03:24 time: 0.0594 data_time: 0.0103 memory: 743 2022/08/10 15:21:15 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:04:03 time: 0.0713 data_time: 0.0126 memory: 809 2022/08/10 15:21:16 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:05:24 time: 0.0953 data_time: 0.0345 memory: 809 2022/08/10 15:21:18 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:05:33 time: 0.0987 data_time: 0.0363 memory: 809 2022/08/10 15:21:20 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:04:05 time: 0.0729 data_time: 0.0160 memory: 809 2022/08/10 15:21:22 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:04:58 time: 0.0894 data_time: 0.0093 memory: 773 2022/08/10 15:21:23 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:03:22 time: 0.0610 data_time: 0.0086 memory: 773 2022/08/10 15:21:24 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:03:24 time: 0.0620 data_time: 0.0084 memory: 773 2022/08/10 15:21:25 - mmengine - INFO - Epoch(val) [2][3000/6282] eta: 0:03:30 time: 0.0640 data_time: 0.0080 memory: 773 2022/08/10 15:21:27 - mmengine - INFO - Epoch(val) [2][3020/6282] eta: 0:03:53 time: 0.0714 data_time: 0.0104 memory: 809 2022/08/10 15:21:28 - mmengine - INFO - Epoch(val) [2][3040/6282] eta: 0:03:43 time: 0.0689 data_time: 0.0079 memory: 809 2022/08/10 15:21:30 - mmengine - INFO - Epoch(val) [2][3060/6282] eta: 0:03:47 time: 0.0707 data_time: 0.0082 memory: 809 2022/08/10 15:21:31 - mmengine - INFO - Epoch(val) [2][3080/6282] eta: 0:04:00 time: 0.0750 data_time: 0.0095 memory: 809 2022/08/10 15:21:32 - mmengine - INFO - Epoch(val) [2][3100/6282] eta: 0:03:12 time: 0.0606 data_time: 0.0065 memory: 809 2022/08/10 15:21:34 - mmengine - INFO - Epoch(val) [2][3120/6282] eta: 0:03:09 time: 0.0599 data_time: 0.0074 memory: 743 2022/08/10 15:21:35 - mmengine - INFO - Epoch(val) [2][3140/6282] eta: 0:03:05 time: 0.0591 data_time: 0.0080 memory: 743 2022/08/10 15:21:36 - mmengine - INFO - Epoch(val) [2][3160/6282] eta: 0:03:04 time: 0.0590 data_time: 0.0081 memory: 743 2022/08/10 15:21:37 - mmengine - INFO - Epoch(val) [2][3180/6282] eta: 0:03:17 time: 0.0638 data_time: 0.0087 memory: 743 2022/08/10 15:21:39 - mmengine - INFO - Epoch(val) [2][3200/6282] eta: 0:03:26 time: 0.0671 data_time: 0.0081 memory: 809 2022/08/10 15:21:40 - mmengine - INFO - Epoch(val) [2][3220/6282] eta: 0:04:33 time: 0.0893 data_time: 0.0268 memory: 809 2022/08/10 15:21:42 - mmengine - INFO - Epoch(val) [2][3240/6282] eta: 0:04:58 time: 0.0980 data_time: 0.0071 memory: 809 2022/08/10 15:21:44 - mmengine - INFO - Epoch(val) [2][3260/6282] eta: 0:03:29 time: 0.0693 data_time: 0.0089 memory: 809 2022/08/10 15:21:47 - mmengine - INFO - Epoch(val) [2][3280/6282] eta: 0:08:24 time: 0.1682 data_time: 0.1117 memory: 809 2022/08/10 15:21:49 - mmengine - INFO - Epoch(val) [2][3300/6282] eta: 0:03:45 time: 0.0757 data_time: 0.0169 memory: 809 2022/08/10 15:21:50 - mmengine - INFO - Epoch(val) [2][3320/6282] eta: 0:04:12 time: 0.0853 data_time: 0.0255 memory: 809 2022/08/10 15:21:52 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:04:14 time: 0.0865 data_time: 0.0058 memory: 809 2022/08/10 15:21:53 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:03:20 time: 0.0687 data_time: 0.0077 memory: 809 2022/08/10 15:21:55 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:03:14 time: 0.0671 data_time: 0.0064 memory: 809 2022/08/10 15:21:56 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:03:02 time: 0.0633 data_time: 0.0102 memory: 738 2022/08/10 15:21:57 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:02:52 time: 0.0604 data_time: 0.0097 memory: 738 2022/08/10 15:21:58 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:02:50 time: 0.0601 data_time: 0.0094 memory: 738 2022/08/10 15:22:00 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:02:48 time: 0.0598 data_time: 0.0089 memory: 738 2022/08/10 15:22:01 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:02:45 time: 0.0591 data_time: 0.0056 memory: 738 2022/08/10 15:22:02 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:02:44 time: 0.0592 data_time: 0.0090 memory: 738 2022/08/10 15:22:03 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:02:51 time: 0.0621 data_time: 0.0111 memory: 738 2022/08/10 15:22:04 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:02:49 time: 0.0619 data_time: 0.0091 memory: 738 2022/08/10 15:22:06 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:02:39 time: 0.0587 data_time: 0.0083 memory: 738 2022/08/10 15:22:07 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:02:42 time: 0.0603 data_time: 0.0088 memory: 789 2022/08/10 15:22:08 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:02:54 time: 0.0649 data_time: 0.0098 memory: 789 2022/08/10 15:22:09 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:02:51 time: 0.0645 data_time: 0.0096 memory: 789 2022/08/10 15:22:11 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:03:45 time: 0.0855 data_time: 0.0063 memory: 789 2022/08/10 15:22:12 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:02:57 time: 0.0679 data_time: 0.0104 memory: 789 2022/08/10 15:22:14 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:02:56 time: 0.0678 data_time: 0.0090 memory: 809 2022/08/10 15:22:16 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:03:41 time: 0.0858 data_time: 0.0243 memory: 809 2022/08/10 15:22:18 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:04:21 time: 0.1022 data_time: 0.0424 memory: 809 2022/08/10 15:22:19 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:03:30 time: 0.0829 data_time: 0.0220 memory: 809 2022/08/10 15:22:21 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:04:07 time: 0.0983 data_time: 0.0372 memory: 809 2022/08/10 15:22:23 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:03:13 time: 0.0771 data_time: 0.0181 memory: 809 2022/08/10 15:22:25 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:03:51 time: 0.0931 data_time: 0.0338 memory: 809 2022/08/10 15:22:26 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:03:15 time: 0.0793 data_time: 0.0191 memory: 809 2022/08/10 15:22:28 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:03:41 time: 0.0907 data_time: 0.0297 memory: 809 2022/08/10 15:22:30 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:03:13 time: 0.0800 data_time: 0.0205 memory: 809 2022/08/10 15:22:32 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:04:08 time: 0.1033 data_time: 0.0296 memory: 809 2022/08/10 15:22:33 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:02:41 time: 0.0680 data_time: 0.0090 memory: 809 2022/08/10 15:22:35 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:03:17 time: 0.0836 data_time: 0.0235 memory: 809 2022/08/10 15:22:36 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:03:20 time: 0.0854 data_time: 0.0245 memory: 809 2022/08/10 15:22:38 - mmengine - INFO - Epoch(val) [2][3960/6282] eta: 0:03:08 time: 0.0812 data_time: 0.0146 memory: 809 2022/08/10 15:22:39 - mmengine - INFO - Epoch(val) [2][3980/6282] eta: 0:02:38 time: 0.0687 data_time: 0.0082 memory: 809 2022/08/10 15:22:41 - mmengine - INFO - Epoch(val) [2][4000/6282] eta: 0:02:41 time: 0.0707 data_time: 0.0093 memory: 809 2022/08/10 15:22:42 - mmengine - INFO - Epoch(val) [2][4020/6282] eta: 0:02:46 time: 0.0735 data_time: 0.0100 memory: 809 2022/08/10 15:22:44 - mmengine - INFO - Epoch(val) [2][4040/6282] eta: 0:02:53 time: 0.0772 data_time: 0.0107 memory: 902 2022/08/10 15:22:46 - mmengine - INFO - Epoch(val) [2][4060/6282] eta: 0:03:06 time: 0.0839 data_time: 0.0104 memory: 902 2022/08/10 15:22:47 - mmengine - INFO - Epoch(val) [2][4080/6282] eta: 0:03:04 time: 0.0836 data_time: 0.0101 memory: 902 2022/08/10 15:22:49 - mmengine - INFO - Epoch(val) [2][4100/6282] eta: 0:03:00 time: 0.0826 data_time: 0.0078 memory: 902 2022/08/10 15:22:51 - mmengine - INFO - Epoch(val) [2][4120/6282] eta: 0:03:07 time: 0.0866 data_time: 0.0093 memory: 902 2022/08/10 15:22:53 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:03:24 time: 0.0956 data_time: 0.0101 memory: 902 2022/08/10 15:22:54 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:02:09 time: 0.0608 data_time: 0.0113 memory: 738 2022/08/10 15:22:55 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:02:00 time: 0.0575 data_time: 0.0064 memory: 738 2022/08/10 15:22:56 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:02:03 time: 0.0591 data_time: 0.0098 memory: 738 2022/08/10 15:22:57 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:02:01 time: 0.0589 data_time: 0.0074 memory: 738 2022/08/10 15:22:59 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:02:08 time: 0.0627 data_time: 0.0082 memory: 738 2022/08/10 15:23:00 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:02:45 time: 0.0817 data_time: 0.0085 memory: 736 2022/08/10 15:23:01 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:01:53 time: 0.0566 data_time: 0.0084 memory: 736 2022/08/10 15:23:02 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:01:55 time: 0.0580 data_time: 0.0079 memory: 736 2022/08/10 15:23:04 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:02:00 time: 0.0614 data_time: 0.0090 memory: 736 2022/08/10 15:23:05 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:01:51 time: 0.0574 data_time: 0.0083 memory: 736 2022/08/10 15:23:06 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:02:12 time: 0.0692 data_time: 0.0080 memory: 809 2022/08/10 15:23:08 - mmengine - INFO - Epoch(val) [2][4380/6282] eta: 0:02:15 time: 0.0712 data_time: 0.0097 memory: 809 2022/08/10 15:23:09 - mmengine - INFO - Epoch(val) [2][4400/6282] eta: 0:02:07 time: 0.0676 data_time: 0.0066 memory: 809 2022/08/10 15:23:10 - mmengine - INFO - Epoch(val) [2][4420/6282] eta: 0:02:05 time: 0.0677 data_time: 0.0085 memory: 809 2022/08/10 15:23:12 - mmengine - INFO - Epoch(val) [2][4440/6282] eta: 0:02:59 time: 0.0975 data_time: 0.0104 memory: 816 2022/08/10 15:23:14 - mmengine - INFO - Epoch(val) [2][4460/6282] eta: 0:02:08 time: 0.0704 data_time: 0.0078 memory: 816 2022/08/10 15:23:15 - mmengine - INFO - Epoch(val) [2][4480/6282] eta: 0:02:05 time: 0.0695 data_time: 0.0087 memory: 816 2022/08/10 15:23:17 - mmengine - INFO - Epoch(val) [2][4500/6282] eta: 0:02:07 time: 0.0713 data_time: 0.0081 memory: 816 2022/08/10 15:23:18 - mmengine - INFO - Epoch(val) [2][4520/6282] eta: 0:01:59 time: 0.0679 data_time: 0.0078 memory: 816 2022/08/10 15:23:19 - mmengine - INFO - Epoch(val) [2][4540/6282] eta: 0:01:40 time: 0.0575 data_time: 0.0077 memory: 743 2022/08/10 15:23:20 - mmengine - INFO - Epoch(val) [2][4560/6282] eta: 0:01:43 time: 0.0598 data_time: 0.0086 memory: 743 2022/08/10 15:23:21 - mmengine - INFO - Epoch(val) [2][4580/6282] eta: 0:01:40 time: 0.0593 data_time: 0.0066 memory: 743 2022/08/10 15:23:23 - mmengine - INFO - Epoch(val) [2][4600/6282] eta: 0:01:43 time: 0.0617 data_time: 0.0091 memory: 743 2022/08/10 15:23:24 - mmengine - INFO - Epoch(val) [2][4620/6282] eta: 0:01:43 time: 0.0620 data_time: 0.0085 memory: 743 2022/08/10 15:23:25 - mmengine - INFO - Epoch(val) [2][4640/6282] eta: 0:02:02 time: 0.0746 data_time: 0.0103 memory: 816 2022/08/10 15:23:27 - mmengine - INFO - Epoch(val) [2][4660/6282] eta: 0:01:55 time: 0.0710 data_time: 0.0093 memory: 816 2022/08/10 15:23:28 - mmengine - INFO - Epoch(val) [2][4680/6282] eta: 0:01:49 time: 0.0682 data_time: 0.0070 memory: 816 2022/08/10 15:23:30 - mmengine - INFO - Epoch(val) [2][4700/6282] eta: 0:01:52 time: 0.0713 data_time: 0.0080 memory: 816 2022/08/10 15:23:32 - mmengine - INFO - Epoch(val) [2][4720/6282] eta: 0:02:29 time: 0.0959 data_time: 0.0103 memory: 816 2022/08/10 15:23:33 - mmengine - INFO - Epoch(val) [2][4740/6282] eta: 0:01:35 time: 0.0619 data_time: 0.0095 memory: 768 2022/08/10 15:23:34 - mmengine - INFO - Epoch(val) [2][4760/6282] eta: 0:01:32 time: 0.0609 data_time: 0.0070 memory: 768 2022/08/10 15:23:35 - mmengine - INFO - Epoch(val) [2][4780/6282] eta: 0:01:37 time: 0.0648 data_time: 0.0112 memory: 768 2022/08/10 15:23:37 - mmengine - INFO - Epoch(val) [2][4800/6282] eta: 0:01:31 time: 0.0617 data_time: 0.0068 memory: 768 2022/08/10 15:23:38 - mmengine - INFO - Epoch(val) [2][4820/6282] eta: 0:01:36 time: 0.0658 data_time: 0.0086 memory: 809 2022/08/10 15:23:39 - mmengine - INFO - Epoch(val) [2][4840/6282] eta: 0:01:45 time: 0.0731 data_time: 0.0088 memory: 809 2022/08/10 15:23:41 - mmengine - INFO - Epoch(val) [2][4860/6282] eta: 0:01:41 time: 0.0714 data_time: 0.0085 memory: 809 2022/08/10 15:23:42 - mmengine - INFO - Epoch(val) [2][4880/6282] eta: 0:01:46 time: 0.0758 data_time: 0.0111 memory: 809 2022/08/10 15:23:44 - mmengine - INFO - Epoch(val) [2][4900/6282] eta: 0:01:35 time: 0.0691 data_time: 0.0070 memory: 809 2022/08/10 15:23:46 - mmengine - INFO - Epoch(val) [2][4920/6282] eta: 0:02:24 time: 0.1059 data_time: 0.0280 memory: 811 2022/08/10 15:23:48 - mmengine - INFO - Epoch(val) [2][4940/6282] eta: 0:03:01 time: 0.1352 data_time: 0.0772 memory: 811 2022/08/10 15:23:50 - mmengine - INFO - Epoch(val) [2][4960/6282] eta: 0:01:24 time: 0.0638 data_time: 0.0062 memory: 811 2022/08/10 15:23:55 - mmengine - INFO - Epoch(val) [2][4980/6282] eta: 0:05:55 time: 0.2729 data_time: 0.2138 memory: 811 2022/08/10 15:23:57 - mmengine - INFO - Epoch(val) [2][5000/6282] eta: 0:01:22 time: 0.0644 data_time: 0.0047 memory: 811 2022/08/10 15:23:58 - mmengine - INFO - Epoch(val) [2][5020/6282] eta: 0:01:08 time: 0.0544 data_time: 0.0054 memory: 811 2022/08/10 15:23:59 - mmengine - INFO - Epoch(val) [2][5040/6282] eta: 0:01:11 time: 0.0577 data_time: 0.0083 memory: 743 2022/08/10 15:24:00 - mmengine - INFO - Epoch(val) [2][5060/6282] eta: 0:01:14 time: 0.0611 data_time: 0.0071 memory: 743 2022/08/10 15:24:01 - mmengine - INFO - Epoch(val) [2][5080/6282] eta: 0:01:17 time: 0.0648 data_time: 0.0102 memory: 743 2022/08/10 15:24:02 - mmengine - INFO - Epoch(val) [2][5100/6282] eta: 0:01:12 time: 0.0613 data_time: 0.0085 memory: 743 2022/08/10 15:24:04 - mmengine - INFO - Epoch(val) [2][5120/6282] eta: 0:01:07 time: 0.0583 data_time: 0.0077 memory: 743 2022/08/10 15:24:05 - mmengine - INFO - Epoch(val) [2][5140/6282] eta: 0:01:09 time: 0.0612 data_time: 0.0091 memory: 738 2022/08/10 15:24:06 - mmengine - INFO - Epoch(val) [2][5160/6282] eta: 0:01:07 time: 0.0604 data_time: 0.0072 memory: 738 2022/08/10 15:24:07 - mmengine - INFO - Epoch(val) [2][5180/6282] eta: 0:01:07 time: 0.0615 data_time: 0.0095 memory: 738 2022/08/10 15:24:09 - mmengine - INFO - Epoch(val) [2][5200/6282] eta: 0:01:04 time: 0.0596 data_time: 0.0075 memory: 738 2022/08/10 15:24:10 - mmengine - INFO - Epoch(val) [2][5220/6282] eta: 0:01:04 time: 0.0607 data_time: 0.0086 memory: 738 2022/08/10 15:24:11 - mmengine - INFO - Epoch(val) [2][5240/6282] eta: 0:01:30 time: 0.0864 data_time: 0.0068 memory: 736 2022/08/10 15:24:13 - mmengine - INFO - Epoch(val) [2][5260/6282] eta: 0:01:02 time: 0.0611 data_time: 0.0088 memory: 736 2022/08/10 15:24:14 - mmengine - INFO - Epoch(val) [2][5280/6282] eta: 0:00:58 time: 0.0581 data_time: 0.0069 memory: 736 2022/08/10 15:24:15 - mmengine - INFO - Epoch(val) [2][5300/6282] eta: 0:00:59 time: 0.0611 data_time: 0.0094 memory: 736 2022/08/10 15:24:17 - mmengine - INFO - Epoch(val) [2][5320/6282] eta: 0:01:17 time: 0.0802 data_time: 0.0300 memory: 738 2022/08/10 15:24:19 - mmengine - INFO - Epoch(val) [2][5340/6282] eta: 0:01:54 time: 0.1220 data_time: 0.0788 memory: 738 2022/08/10 15:24:21 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:01:10 time: 0.0770 data_time: 0.0344 memory: 738 2022/08/10 15:24:24 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:02:29 time: 0.1654 data_time: 0.1066 memory: 738 2022/08/10 15:24:25 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:00:50 time: 0.0575 data_time: 0.0051 memory: 738 2022/08/10 15:24:26 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:00:48 time: 0.0564 data_time: 0.0042 memory: 738 2022/08/10 15:24:28 - mmengine - INFO - Epoch(val) [2][5440/6282] eta: 0:00:52 time: 0.0623 data_time: 0.0091 memory: 738 2022/08/10 15:24:29 - mmengine - INFO - Epoch(val) [2][5460/6282] eta: 0:00:48 time: 0.0590 data_time: 0.0083 memory: 738 2022/08/10 15:24:30 - mmengine - INFO - Epoch(val) [2][5480/6282] eta: 0:00:46 time: 0.0576 data_time: 0.0059 memory: 738 2022/08/10 15:24:31 - mmengine - INFO - Epoch(val) [2][5500/6282] eta: 0:00:48 time: 0.0616 data_time: 0.0087 memory: 738 2022/08/10 15:24:32 - mmengine - INFO - Epoch(val) [2][5520/6282] eta: 0:00:46 time: 0.0615 data_time: 0.0088 memory: 763 2022/08/10 15:24:34 - mmengine - INFO - Epoch(val) [2][5540/6282] eta: 0:00:46 time: 0.0626 data_time: 0.0092 memory: 763 2022/08/10 15:24:35 - mmengine - INFO - Epoch(val) [2][5560/6282] eta: 0:00:44 time: 0.0612 data_time: 0.0068 memory: 763 2022/08/10 15:24:36 - mmengine - INFO - Epoch(val) [2][5580/6282] eta: 0:00:43 time: 0.0624 data_time: 0.0081 memory: 763 2022/08/10 15:24:37 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:00:43 time: 0.0645 data_time: 0.0069 memory: 763 2022/08/10 15:24:39 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:00:40 time: 0.0605 data_time: 0.0077 memory: 763 2022/08/10 15:24:40 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:38 time: 0.0604 data_time: 0.0077 memory: 738 2022/08/10 15:24:41 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:50 time: 0.0810 data_time: 0.0057 memory: 738 2022/08/10 15:24:43 - mmengine - INFO - Epoch(val) [2][5680/6282] eta: 0:00:36 time: 0.0598 data_time: 0.0071 memory: 738 2022/08/10 15:24:44 - mmengine - INFO - Epoch(val) [2][5700/6282] eta: 0:00:35 time: 0.0607 data_time: 0.0077 memory: 738 2022/08/10 15:24:45 - mmengine - INFO - Epoch(val) [2][5720/6282] eta: 0:00:34 time: 0.0617 data_time: 0.0070 memory: 780 2022/08/10 15:24:46 - mmengine - INFO - Epoch(val) [2][5740/6282] eta: 0:00:33 time: 0.0612 data_time: 0.0070 memory: 780 2022/08/10 15:24:47 - mmengine - INFO - Epoch(val) [2][5760/6282] eta: 0:00:31 time: 0.0595 data_time: 0.0082 memory: 780 2022/08/10 15:24:49 - mmengine - INFO - Epoch(val) [2][5780/6282] eta: 0:00:29 time: 0.0588 data_time: 0.0077 memory: 780 2022/08/10 15:24:50 - mmengine - INFO - Epoch(val) [2][5800/6282] eta: 0:00:28 time: 0.0590 data_time: 0.0058 memory: 780 2022/08/10 15:24:51 - mmengine - INFO - Epoch(val) [2][5820/6282] eta: 0:00:27 time: 0.0587 data_time: 0.0073 memory: 780 2022/08/10 15:24:52 - mmengine - INFO - Epoch(val) [2][5840/6282] eta: 0:00:24 time: 0.0550 data_time: 0.0062 memory: 763 2022/08/10 15:24:53 - mmengine - INFO - Epoch(val) [2][5860/6282] eta: 0:00:22 time: 0.0545 data_time: 0.0058 memory: 763 2022/08/10 15:24:54 - mmengine - INFO - Epoch(val) [2][5880/6282] eta: 0:00:21 time: 0.0530 data_time: 0.0046 memory: 763 2022/08/10 15:24:55 - mmengine - INFO - Epoch(val) [2][5900/6282] eta: 0:00:20 time: 0.0540 data_time: 0.0044 memory: 763 2022/08/10 15:24:56 - mmengine - INFO - Epoch(val) [2][5920/6282] eta: 0:00:19 time: 0.0526 data_time: 0.0047 memory: 763 2022/08/10 15:24:57 - mmengine - INFO - Epoch(val) [2][5940/6282] eta: 0:00:17 time: 0.0516 data_time: 0.0049 memory: 738 2022/08/10 15:24:58 - mmengine - INFO - Epoch(val) [2][5960/6282] eta: 0:00:16 time: 0.0513 data_time: 0.0045 memory: 738 2022/08/10 15:24:59 - mmengine - INFO - Epoch(val) [2][5980/6282] eta: 0:00:15 time: 0.0498 data_time: 0.0044 memory: 738 2022/08/10 15:25:01 - mmengine - INFO - Epoch(val) [2][6000/6282] eta: 0:00:16 time: 0.0579 data_time: 0.0043 memory: 809 2022/08/10 15:25:03 - mmengine - INFO - Epoch(val) [2][6020/6282] eta: 0:00:26 time: 0.1006 data_time: 0.0069 memory: 809 2022/08/10 15:25:04 - mmengine - INFO - Epoch(val) [2][6040/6282] eta: 0:00:13 time: 0.0576 data_time: 0.0042 memory: 809 2022/08/10 15:25:05 - mmengine - INFO - Epoch(val) [2][6060/6282] eta: 0:00:12 time: 0.0564 data_time: 0.0046 memory: 809 2022/08/10 15:25:06 - mmengine - INFO - Epoch(val) [2][6080/6282] eta: 0:00:11 time: 0.0570 data_time: 0.0039 memory: 809 2022/08/10 15:25:07 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:10 time: 0.0583 data_time: 0.0040 memory: 809 2022/08/10 15:25:08 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:09 time: 0.0599 data_time: 0.0067 memory: 809 2022/08/10 15:25:10 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:07 time: 0.0556 data_time: 0.0038 memory: 809 2022/08/10 15:25:11 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:09 time: 0.0797 data_time: 0.0264 memory: 809 2022/08/10 15:25:12 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:06 time: 0.0597 data_time: 0.0081 memory: 809 2022/08/10 15:25:14 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:06 time: 0.0778 data_time: 0.0267 memory: 809 2022/08/10 15:25:16 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:06 time: 0.1020 data_time: 0.0504 memory: 809 2022/08/10 15:25:17 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:02 time: 0.0696 data_time: 0.0180 memory: 809 2022/08/10 15:25:19 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:01 time: 0.0724 data_time: 0.0212 memory: 809 2022/08/10 15:25:25 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.3219 data_time: 0.2300 memory: 809 2022/08/10 15:31:40 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2349 2022/08/10 15:31:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2022/08/10 15:31:46 - mmengine - INFO - The best checkpoint with 0.2349 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2022/08/10 15:32:00 - mmengine - INFO - Epoch(train) [3][20/3842] lr: 7.5000e-02 eta: 4:34:29 time: 0.6991 data_time: 0.1912 memory: 10484 grad_norm: 0.1793 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.8077 recall@top3: 0.8205 prec@top3: 0.4872 recall@top5: 0.8974 prec@top5: 0.3231 loss_action_cls: 0.0616 loss: 0.0616 2022/08/10 15:32:11 - mmengine - INFO - Epoch(train) [3][40/3842] lr: 7.5000e-02 eta: 4:34:19 time: 0.5416 data_time: 0.0160 memory: 10484 grad_norm: 0.1664 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.8571 recall@top3: 0.8095 prec@top3: 0.6508 recall@top5: 0.9246 prec@top5: 0.4476 loss_action_cls: 0.0619 loss: 0.0619 2022/08/10 15:32:21 - mmengine - INFO - Epoch(train) [3][60/3842] lr: 7.4999e-02 eta: 4:34:08 time: 0.5307 data_time: 0.0196 memory: 10484 grad_norm: 0.1651 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.8319 recall@top3: 0.7486 prec@top3: 0.7500 recall@top5: 0.8938 prec@top5: 0.5500 loss_action_cls: 0.0602 loss: 0.0602 2022/08/10 15:32:31 - mmengine - INFO - Epoch(train) [3][80/3842] lr: 7.4999e-02 eta: 4:33:55 time: 0.5155 data_time: 0.0196 memory: 10484 grad_norm: 0.1654 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.8000 recall@top3: 0.8667 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.3733 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 15:32:44 - mmengine - INFO - Epoch(train) [3][100/3842] lr: 7.4998e-02 eta: 4:33:54 time: 0.6507 data_time: 0.0194 memory: 10484 grad_norm: 0.1561 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.4583 recall@top3: 0.6562 prec@top3: 0.5000 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0652 loss: 0.0652 2022/08/10 15:32:56 - mmengine - INFO - Epoch(train) [3][120/3842] lr: 7.4997e-02 eta: 4:33:45 time: 0.5582 data_time: 0.0219 memory: 10484 grad_norm: 0.1640 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.5196 recall@top3: 0.6373 prec@top3: 0.4902 recall@top5: 0.8725 prec@top5: 0.4235 loss_action_cls: 0.0558 loss: 0.0558 2022/08/10 15:33:06 - mmengine - INFO - Epoch(train) [3][140/3842] lr: 7.4996e-02 eta: 4:33:31 time: 0.5045 data_time: 0.0195 memory: 10484 grad_norm: 0.1682 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9028 recall@top3: 0.9444 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0556 loss: 0.0556 2022/08/10 15:33:16 - mmengine - INFO - Epoch(train) [3][160/3842] lr: 7.4995e-02 eta: 4:33:20 time: 0.5248 data_time: 0.0162 memory: 10484 grad_norm: 0.1647 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8421 recall@top3: 0.7719 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.5579 loss_action_cls: 0.0562 loss: 0.0562 2022/08/10 15:33:26 - mmengine - INFO - Epoch(train) [3][180/3842] lr: 7.4994e-02 eta: 4:33:06 time: 0.5003 data_time: 0.0176 memory: 10484 grad_norm: 0.1730 recall@thr=0.5: 0.8142 prec@thr=0.5: 0.9750 recall@top3: 0.8808 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.5500 loss_action_cls: 0.0560 loss: 0.0560 2022/08/10 15:33:37 - mmengine - INFO - Epoch(train) [3][200/3842] lr: 7.4992e-02 eta: 4:32:54 time: 0.5225 data_time: 0.0138 memory: 10484 grad_norm: 0.1521 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.4286 recall@top3: 0.6429 prec@top3: 0.4048 recall@top5: 0.9762 prec@top5: 0.3857 loss_action_cls: 0.0516 loss: 0.0516 2022/08/10 15:33:48 - mmengine - INFO - Epoch(train) [3][220/3842] lr: 7.4991e-02 eta: 4:32:47 time: 0.5765 data_time: 0.0169 memory: 10484 grad_norm: 0.1699 recall@thr=0.5: 0.5393 prec@thr=0.5: 0.9167 recall@top3: 0.7643 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.5571 loss_action_cls: 0.0689 loss: 0.0689 2022/08/10 15:33:59 - mmengine - INFO - Epoch(train) [3][240/3842] lr: 7.4989e-02 eta: 4:32:35 time: 0.5256 data_time: 0.0172 memory: 10484 grad_norm: 0.1797 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.9091 recall@top3: 0.6364 prec@top3: 0.6667 recall@top5: 0.9470 prec@top5: 0.6182 loss_action_cls: 0.0578 loss: 0.0578 2022/08/10 15:34:12 - mmengine - INFO - Epoch(train) [3][260/3842] lr: 7.4987e-02 eta: 4:32:35 time: 0.6696 data_time: 0.0194 memory: 10484 grad_norm: 0.1832 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6886 recall@top3: 0.7368 prec@top3: 0.5088 recall@top5: 0.7895 prec@top5: 0.3474 loss_action_cls: 0.0581 loss: 0.0581 2022/08/10 15:34:24 - mmengine - INFO - Epoch(train) [3][280/3842] lr: 7.4985e-02 eta: 4:32:30 time: 0.6193 data_time: 0.0179 memory: 10484 grad_norm: 0.1684 recall@thr=0.5: 0.6578 prec@thr=0.5: 0.7889 recall@top3: 0.8522 prec@top3: 0.7111 recall@top5: 0.9567 prec@top5: 0.5067 loss_action_cls: 0.0584 loss: 0.0584 2022/08/10 15:34:35 - mmengine - INFO - Epoch(train) [3][300/3842] lr: 7.4982e-02 eta: 4:32:19 time: 0.5253 data_time: 0.0169 memory: 10484 grad_norm: 0.1542 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8056 recall@top3: 0.7460 prec@top3: 0.6984 recall@top5: 0.9484 prec@top5: 0.5429 loss_action_cls: 0.0626 loss: 0.0626 2022/08/10 15:34:43 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 15:34:45 - mmengine - INFO - Epoch(train) [3][320/3842] lr: 7.4980e-02 eta: 4:32:05 time: 0.5023 data_time: 0.0163 memory: 10484 grad_norm: 0.1544 recall@thr=0.5: 0.5733 prec@thr=0.5: 0.6267 recall@top3: 0.6467 prec@top3: 0.5733 recall@top5: 0.7600 prec@top5: 0.4080 loss_action_cls: 0.0581 loss: 0.0581 2022/08/10 15:34:55 - mmengine - INFO - Epoch(train) [3][340/3842] lr: 7.4977e-02 eta: 4:31:54 time: 0.5229 data_time: 0.0165 memory: 10484 grad_norm: 0.1616 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7731 recall@top3: 0.7917 prec@top3: 0.6481 recall@top5: 0.8611 prec@top5: 0.4333 loss_action_cls: 0.0723 loss: 0.0723 2022/08/10 15:35:06 - mmengine - INFO - Epoch(train) [3][360/3842] lr: 7.4975e-02 eta: 4:31:40 time: 0.5019 data_time: 0.0176 memory: 10484 grad_norm: 0.1711 recall@thr=0.5: 0.7257 prec@thr=0.5: 0.9028 recall@top3: 0.8403 prec@top3: 0.8750 recall@top5: 0.9688 prec@top5: 0.6167 loss_action_cls: 0.0618 loss: 0.0618 2022/08/10 15:35:16 - mmengine - INFO - Epoch(train) [3][380/3842] lr: 7.4972e-02 eta: 4:31:29 time: 0.5258 data_time: 0.0175 memory: 10484 grad_norm: 0.1633 recall@thr=0.5: 0.8397 prec@thr=0.5: 0.8462 recall@top3: 0.8590 prec@top3: 0.4615 recall@top5: 0.8974 prec@top5: 0.3077 loss_action_cls: 0.0647 loss: 0.0647 2022/08/10 15:35:26 - mmengine - INFO - Epoch(train) [3][400/3842] lr: 7.4969e-02 eta: 4:31:15 time: 0.4987 data_time: 0.0160 memory: 10484 grad_norm: 0.1538 recall@thr=0.5: 0.7933 prec@thr=0.5: 0.7933 recall@top3: 0.8600 prec@top3: 0.6667 recall@top5: 0.9867 prec@top5: 0.4560 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 15:35:36 - mmengine - INFO - Epoch(train) [3][420/3842] lr: 7.4966e-02 eta: 4:31:03 time: 0.5233 data_time: 0.0147 memory: 10484 grad_norm: 0.1678 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.7917 recall@top3: 0.6111 prec@top3: 0.7500 recall@top5: 0.7431 prec@top5: 0.5500 loss_action_cls: 0.0547 loss: 0.0547 2022/08/10 15:35:47 - mmengine - INFO - Epoch(train) [3][440/3842] lr: 7.4962e-02 eta: 4:30:52 time: 0.5225 data_time: 0.0167 memory: 10484 grad_norm: 0.1509 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.8596 recall@top3: 0.8947 prec@top3: 0.6140 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 15:35:57 - mmengine - INFO - Epoch(train) [3][460/3842] lr: 7.4959e-02 eta: 4:30:40 time: 0.5217 data_time: 0.0188 memory: 10484 grad_norm: 0.1657 recall@thr=0.5: 0.8177 prec@thr=0.5: 0.8333 recall@top3: 0.8854 prec@top3: 0.7708 recall@top5: 0.9219 prec@top5: 0.4875 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 15:36:08 - mmengine - INFO - Epoch(train) [3][480/3842] lr: 7.4955e-02 eta: 4:30:28 time: 0.5210 data_time: 0.0186 memory: 10484 grad_norm: 0.1671 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8889 recall@top3: 0.8056 prec@top3: 0.7778 recall@top5: 0.9222 prec@top5: 0.5600 loss_action_cls: 0.0570 loss: 0.0570 2022/08/10 15:36:18 - mmengine - INFO - Epoch(train) [3][500/3842] lr: 7.4951e-02 eta: 4:30:16 time: 0.5244 data_time: 0.0155 memory: 10484 grad_norm: 0.1536 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.5385 recall@top3: 0.7372 prec@top3: 0.5641 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0593 loss: 0.0593 2022/08/10 15:36:29 - mmengine - INFO - Epoch(train) [3][520/3842] lr: 7.4947e-02 eta: 4:30:05 time: 0.5277 data_time: 0.0176 memory: 10484 grad_norm: 0.1581 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.8070 recall@top3: 0.7456 prec@top3: 0.7018 recall@top5: 0.8772 prec@top5: 0.4947 loss_action_cls: 0.0607 loss: 0.0607 2022/08/10 15:36:40 - mmengine - INFO - Epoch(train) [3][540/3842] lr: 7.4943e-02 eta: 4:29:56 time: 0.5562 data_time: 0.0173 memory: 10484 grad_norm: 0.1700 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8651 recall@top3: 0.8095 prec@top3: 0.7302 recall@top5: 0.9286 prec@top5: 0.5238 loss_action_cls: 0.0629 loss: 0.0629 2022/08/10 15:36:51 - mmengine - INFO - Epoch(train) [3][560/3842] lr: 7.4939e-02 eta: 4:29:45 time: 0.5329 data_time: 0.0181 memory: 10484 grad_norm: 0.1713 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.3958 recall@top3: 0.8472 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0563 loss: 0.0563 2022/08/10 15:37:01 - mmengine - INFO - Epoch(train) [3][580/3842] lr: 7.4934e-02 eta: 4:29:33 time: 0.5205 data_time: 0.0212 memory: 10484 grad_norm: 0.1641 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7803 recall@top3: 0.9545 prec@top3: 0.5909 recall@top5: 0.9886 prec@top5: 0.3727 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 15:37:12 - mmengine - INFO - Epoch(train) [3][600/3842] lr: 7.4930e-02 eta: 4:29:21 time: 0.5283 data_time: 0.0160 memory: 10484 grad_norm: 0.1640 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6053 recall@top3: 0.6491 prec@top3: 0.4211 recall@top5: 0.9211 prec@top5: 0.3579 loss_action_cls: 0.0567 loss: 0.0567 2022/08/10 15:37:26 - mmengine - INFO - Epoch(train) [3][620/3842] lr: 7.4925e-02 eta: 4:29:24 time: 0.7259 data_time: 0.0221 memory: 10484 grad_norm: 0.1611 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.5909 recall@top3: 0.6970 prec@top3: 0.5455 recall@top5: 0.8485 prec@top5: 0.4182 loss_action_cls: 0.0695 loss: 0.0695 2022/08/10 15:37:37 - mmengine - INFO - Epoch(train) [3][640/3842] lr: 7.4920e-02 eta: 4:29:13 time: 0.5298 data_time: 0.0233 memory: 10484 grad_norm: 0.1688 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8182 recall@top3: 0.7386 prec@top3: 0.7576 recall@top5: 0.9280 prec@top5: 0.5909 loss_action_cls: 0.0601 loss: 0.0601 2022/08/10 15:37:47 - mmengine - INFO - Epoch(train) [3][660/3842] lr: 7.4915e-02 eta: 4:29:02 time: 0.5343 data_time: 0.0163 memory: 10484 grad_norm: 0.1584 recall@thr=0.5: 0.6037 prec@thr=0.5: 0.6963 recall@top3: 0.6685 prec@top3: 0.6111 recall@top5: 0.8852 prec@top5: 0.5000 loss_action_cls: 0.0566 loss: 0.0566 2022/08/10 15:37:58 - mmengine - INFO - Epoch(train) [3][680/3842] lr: 7.4910e-02 eta: 4:28:51 time: 0.5262 data_time: 0.0190 memory: 10484 grad_norm: 0.1618 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5104 recall@top3: 0.7292 prec@top3: 0.4167 recall@top5: 0.8438 prec@top5: 0.3125 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 15:38:09 - mmengine - INFO - Epoch(train) [3][700/3842] lr: 7.4904e-02 eta: 4:28:40 time: 0.5292 data_time: 0.0156 memory: 10484 grad_norm: 0.1599 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6667 recall@top3: 0.7157 prec@top3: 0.5490 recall@top5: 0.8137 prec@top5: 0.3882 loss_action_cls: 0.0537 loss: 0.0537 2022/08/10 15:38:19 - mmengine - INFO - Epoch(train) [3][720/3842] lr: 7.4899e-02 eta: 4:28:26 time: 0.5017 data_time: 0.0177 memory: 10484 grad_norm: 0.1640 recall@thr=0.5: 0.5573 prec@thr=0.5: 0.5964 recall@top3: 0.7578 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.5187 loss_action_cls: 0.0638 loss: 0.0638 2022/08/10 15:38:29 - mmengine - INFO - Epoch(train) [3][740/3842] lr: 7.4893e-02 eta: 4:28:16 time: 0.5473 data_time: 0.0163 memory: 10484 grad_norm: 0.1649 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8875 recall@top3: 0.7542 prec@top3: 0.7833 recall@top5: 0.9500 prec@top5: 0.6000 loss_action_cls: 0.0598 loss: 0.0598 2022/08/10 15:38:40 - mmengine - INFO - Epoch(train) [3][760/3842] lr: 7.4887e-02 eta: 4:28:05 time: 0.5318 data_time: 0.0180 memory: 10484 grad_norm: 0.1592 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7083 recall@top3: 0.8264 prec@top3: 0.7500 recall@top5: 0.9375 prec@top5: 0.5000 loss_action_cls: 0.0646 loss: 0.0646 2022/08/10 15:38:55 - mmengine - INFO - Epoch(train) [3][780/3842] lr: 7.4881e-02 eta: 4:28:09 time: 0.7362 data_time: 0.0193 memory: 10484 grad_norm: 0.1629 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6508 recall@top3: 0.7857 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.5238 loss_action_cls: 0.0613 loss: 0.0613 2022/08/10 15:39:05 - mmengine - INFO - Epoch(train) [3][800/3842] lr: 7.4875e-02 eta: 4:27:56 time: 0.5087 data_time: 0.0181 memory: 10484 grad_norm: 0.1607 recall@thr=0.5: 0.7454 prec@thr=0.5: 0.8222 recall@top3: 0.7778 prec@top3: 0.6296 recall@top5: 0.9213 prec@top5: 0.4778 loss_action_cls: 0.0600 loss: 0.0600 2022/08/10 15:39:16 - mmengine - INFO - Epoch(train) [3][820/3842] lr: 7.4869e-02 eta: 4:27:48 time: 0.5718 data_time: 0.0197 memory: 10484 grad_norm: 0.1647 recall@thr=0.5: 0.4292 prec@thr=0.5: 0.5937 recall@top3: 0.6896 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.5125 loss_action_cls: 0.0591 loss: 0.0591 2022/08/10 15:39:27 - mmengine - INFO - Epoch(train) [3][840/3842] lr: 7.4862e-02 eta: 4:27:38 time: 0.5519 data_time: 0.0246 memory: 10484 grad_norm: 0.1596 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.7083 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0580 loss: 0.0580 2022/08/10 15:39:40 - mmengine - INFO - Epoch(train) [3][860/3842] lr: 7.4856e-02 eta: 4:27:34 time: 0.6314 data_time: 0.0157 memory: 10484 grad_norm: 0.1673 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.8333 recall@top3: 0.8070 prec@top3: 0.7018 recall@top5: 0.8728 prec@top5: 0.4632 loss_action_cls: 0.0596 loss: 0.0596 2022/08/10 15:39:51 - mmengine - INFO - Epoch(train) [3][880/3842] lr: 7.4849e-02 eta: 4:27:23 time: 0.5384 data_time: 0.0237 memory: 10484 grad_norm: 0.1563 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7659 recall@top3: 0.7698 prec@top3: 0.6190 recall@top5: 0.9206 prec@top5: 0.4476 loss_action_cls: 0.0623 loss: 0.0623 2022/08/10 15:40:04 - mmengine - INFO - Epoch(train) [3][900/3842] lr: 7.4842e-02 eta: 4:27:21 time: 0.6673 data_time: 0.0928 memory: 10484 grad_norm: 0.1484 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.9111 recall@top3: 0.7556 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4667 loss_action_cls: 0.0612 loss: 0.0612 2022/08/10 15:40:17 - mmengine - INFO - Epoch(train) [3][920/3842] lr: 7.4835e-02 eta: 4:27:17 time: 0.6257 data_time: 0.0174 memory: 10484 grad_norm: 0.1639 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6111 recall@top3: 0.5333 prec@top3: 0.5778 recall@top5: 0.8000 prec@top5: 0.5067 loss_action_cls: 0.0764 loss: 0.0764 2022/08/10 15:40:27 - mmengine - INFO - Epoch(train) [3][940/3842] lr: 7.4827e-02 eta: 4:27:06 time: 0.5369 data_time: 0.0198 memory: 10484 grad_norm: 0.1767 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7990 recall@top3: 0.8137 prec@top3: 0.6275 recall@top5: 0.9118 prec@top5: 0.4353 loss_action_cls: 0.0572 loss: 0.0572 2022/08/10 15:40:39 - mmengine - INFO - Epoch(train) [3][960/3842] lr: 7.4820e-02 eta: 4:26:57 time: 0.5628 data_time: 0.0252 memory: 10484 grad_norm: 0.1539 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8242 recall@top3: 0.8333 prec@top3: 0.7424 recall@top5: 0.9470 prec@top5: 0.5091 loss_action_cls: 0.0537 loss: 0.0537 2022/08/10 15:40:51 - mmengine - INFO - Epoch(train) [3][980/3842] lr: 7.4812e-02 eta: 4:26:51 time: 0.6123 data_time: 0.0159 memory: 10484 grad_norm: 0.1624 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7451 recall@top3: 0.7157 prec@top3: 0.7255 recall@top5: 0.8922 prec@top5: 0.5529 loss_action_cls: 0.0589 loss: 0.0589 2022/08/10 15:41:07 - mmengine - INFO - Epoch(train) [3][1000/3842] lr: 7.4805e-02 eta: 4:26:58 time: 0.7982 data_time: 0.0288 memory: 10484 grad_norm: 0.1672 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.7867 recall@top3: 0.8653 prec@top3: 0.7200 recall@top5: 0.9473 prec@top5: 0.4960 loss_action_cls: 0.0662 loss: 0.0662 2022/08/10 15:41:25 - mmengine - INFO - Epoch(train) [3][1020/3842] lr: 7.4797e-02 eta: 4:27:14 time: 0.9218 data_time: 0.0228 memory: 10484 grad_norm: 0.1679 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8333 recall@top3: 0.8056 prec@top3: 0.7460 recall@top5: 0.9365 prec@top5: 0.5429 loss_action_cls: 0.0579 loss: 0.0579 2022/08/10 15:41:36 - mmengine - INFO - Epoch(train) [3][1040/3842] lr: 7.4789e-02 eta: 4:27:02 time: 0.5318 data_time: 0.0178 memory: 10484 grad_norm: 0.1716 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.9167 recall@top3: 0.8704 prec@top3: 0.7593 recall@top5: 0.9537 prec@top5: 0.5111 loss_action_cls: 0.0546 loss: 0.0546 2022/08/10 15:41:46 - mmengine - INFO - Epoch(train) [3][1060/3842] lr: 7.4781e-02 eta: 4:26:49 time: 0.5031 data_time: 0.0167 memory: 10484 grad_norm: 0.1772 recall@thr=0.5: 0.5314 prec@thr=0.5: 0.7843 recall@top3: 0.6755 prec@top3: 0.7255 recall@top5: 0.9882 prec@top5: 0.6235 loss_action_cls: 0.0675 loss: 0.0675 2022/08/10 15:41:56 - mmengine - INFO - Epoch(train) [3][1080/3842] lr: 7.4772e-02 eta: 4:26:37 time: 0.5178 data_time: 0.0187 memory: 10484 grad_norm: 0.1546 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.8000 recall@top3: 0.8333 prec@top3: 0.5778 recall@top5: 0.9556 prec@top5: 0.4133 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 15:42:07 - mmengine - INFO - Epoch(train) [3][1100/3842] lr: 7.4764e-02 eta: 4:26:25 time: 0.5240 data_time: 0.0174 memory: 10484 grad_norm: 0.1599 recall@thr=0.5: 0.6226 prec@thr=0.5: 0.7262 recall@top3: 0.7524 prec@top3: 0.7381 recall@top5: 0.9357 prec@top5: 0.5429 loss_action_cls: 0.0525 loss: 0.0525 2022/08/10 15:42:18 - mmengine - INFO - Epoch(train) [3][1120/3842] lr: 7.4755e-02 eta: 4:26:14 time: 0.5407 data_time: 0.0179 memory: 10484 grad_norm: 0.1628 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.5000 recall@top3: 0.6667 prec@top3: 0.5556 recall@top5: 0.8222 prec@top5: 0.3733 loss_action_cls: 0.0611 loss: 0.0611 2022/08/10 15:42:28 - mmengine - INFO - Epoch(train) [3][1140/3842] lr: 7.4746e-02 eta: 4:26:03 time: 0.5285 data_time: 0.0229 memory: 10484 grad_norm: 0.1865 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7460 recall@top3: 0.7857 prec@top3: 0.5873 recall@top5: 0.9683 prec@top5: 0.4476 loss_action_cls: 0.0605 loss: 0.0605 2022/08/10 15:42:39 - mmengine - INFO - Epoch(train) [3][1160/3842] lr: 7.4737e-02 eta: 4:25:51 time: 0.5234 data_time: 0.0181 memory: 10484 grad_norm: 0.1822 recall@thr=0.5: 0.5630 prec@thr=0.5: 0.6481 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.8574 prec@top5: 0.4778 loss_action_cls: 0.0578 loss: 0.0578 2022/08/10 15:42:49 - mmengine - INFO - Epoch(train) [3][1180/3842] lr: 7.4728e-02 eta: 4:25:37 time: 0.4977 data_time: 0.0173 memory: 10484 grad_norm: 0.1768 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5556 recall@top3: 0.6167 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4267 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 15:43:00 - mmengine - INFO - Epoch(train) [3][1200/3842] lr: 7.4719e-02 eta: 4:25:27 time: 0.5395 data_time: 0.0137 memory: 10484 grad_norm: 0.1757 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7381 recall@top3: 0.7679 prec@top3: 0.5952 recall@top5: 0.8929 prec@top5: 0.4571 loss_action_cls: 0.0537 loss: 0.0537 2022/08/10 15:43:16 - mmengine - INFO - Epoch(train) [3][1220/3842] lr: 7.4709e-02 eta: 4:25:35 time: 0.8288 data_time: 0.0206 memory: 10484 grad_norm: 0.1574 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7237 recall@top3: 0.7149 prec@top3: 0.5789 recall@top5: 0.8333 prec@top5: 0.4105 loss_action_cls: 0.0509 loss: 0.0509 2022/08/10 15:43:26 - mmengine - INFO - Epoch(train) [3][1240/3842] lr: 7.4700e-02 eta: 4:25:22 time: 0.4995 data_time: 0.0153 memory: 10484 grad_norm: 0.1648 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.7647 recall@top3: 0.9118 prec@top3: 0.7647 recall@top5: 0.9706 prec@top5: 0.5059 loss_action_cls: 0.0550 loss: 0.0550 2022/08/10 15:43:37 - mmengine - INFO - Epoch(train) [3][1260/3842] lr: 7.4690e-02 eta: 4:25:10 time: 0.5275 data_time: 0.0133 memory: 10484 grad_norm: 0.1525 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.6176 recall@top3: 0.7843 prec@top3: 0.5490 recall@top5: 0.8627 prec@top5: 0.3647 loss_action_cls: 0.0525 loss: 0.0525 2022/08/10 15:43:49 - mmengine - INFO - Epoch(train) [3][1280/3842] lr: 7.4680e-02 eta: 4:25:04 time: 0.6133 data_time: 0.0214 memory: 10484 grad_norm: 0.1622 recall@thr=0.5: 0.7633 prec@thr=0.5: 0.7750 recall@top3: 0.8133 prec@top3: 0.7000 recall@top5: 0.9633 prec@top5: 0.5200 loss_action_cls: 0.0537 loss: 0.0537 2022/08/10 15:44:00 - mmengine - INFO - Epoch(train) [3][1300/3842] lr: 7.4670e-02 eta: 4:24:53 time: 0.5320 data_time: 0.0166 memory: 10484 grad_norm: 0.1723 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.8824 recall@top3: 0.8725 prec@top3: 0.7843 recall@top5: 0.9608 prec@top5: 0.5294 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 15:44:09 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 15:44:11 - mmengine - INFO - Epoch(train) [3][1320/3842] lr: 7.4660e-02 eta: 4:24:43 time: 0.5532 data_time: 0.0245 memory: 10484 grad_norm: 0.1685 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.8846 recall@top3: 0.7692 prec@top3: 0.5385 recall@top5: 0.9231 prec@top5: 0.4154 loss_action_cls: 0.0655 loss: 0.0655 2022/08/10 15:44:21 - mmengine - INFO - Epoch(train) [3][1340/3842] lr: 7.4649e-02 eta: 4:24:30 time: 0.5054 data_time: 0.0166 memory: 10484 grad_norm: 0.1721 recall@thr=0.5: 0.6267 prec@thr=0.5: 0.8083 recall@top3: 0.7783 prec@top3: 0.7667 recall@top5: 0.9550 prec@top5: 0.5700 loss_action_cls: 0.0617 loss: 0.0617 2022/08/10 15:44:31 - mmengine - INFO - Epoch(train) [3][1360/3842] lr: 7.4639e-02 eta: 4:24:18 time: 0.5325 data_time: 0.0177 memory: 10484 grad_norm: 0.1626 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.8333 recall@top3: 0.6944 prec@top3: 0.4722 recall@top5: 0.7778 prec@top5: 0.3333 loss_action_cls: 0.0566 loss: 0.0566 2022/08/10 15:44:41 - mmengine - INFO - Epoch(train) [3][1380/3842] lr: 7.4628e-02 eta: 4:24:05 time: 0.5056 data_time: 0.0159 memory: 10484 grad_norm: 0.1567 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7308 recall@top3: 0.7436 prec@top3: 0.6154 recall@top5: 0.8462 prec@top5: 0.4462 loss_action_cls: 0.0543 loss: 0.0543 2022/08/10 15:44:52 - mmengine - INFO - Epoch(train) [3][1400/3842] lr: 7.4617e-02 eta: 4:23:53 time: 0.5177 data_time: 0.0171 memory: 10484 grad_norm: 0.1556 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7063 recall@top3: 0.8016 prec@top3: 0.6508 recall@top5: 0.9881 prec@top5: 0.4952 loss_action_cls: 0.0601 loss: 0.0601 2022/08/10 15:45:03 - mmengine - INFO - Epoch(train) [3][1420/3842] lr: 7.4606e-02 eta: 4:23:43 time: 0.5565 data_time: 0.0186 memory: 10484 grad_norm: 0.1758 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.6333 recall@top3: 0.7750 prec@top3: 0.5333 recall@top5: 0.9750 prec@top5: 0.4200 loss_action_cls: 0.0660 loss: 0.0660 2022/08/10 15:45:16 - mmengine - INFO - Epoch(train) [3][1440/3842] lr: 7.4595e-02 eta: 4:23:38 time: 0.6304 data_time: 0.0186 memory: 10484 grad_norm: 0.1523 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.8810 recall@top3: 0.7103 prec@top3: 0.7460 recall@top5: 0.9048 prec@top5: 0.5524 loss_action_cls: 0.0593 loss: 0.0593 2022/08/10 15:45:28 - mmengine - INFO - Epoch(train) [3][1460/3842] lr: 7.4584e-02 eta: 4:23:34 time: 0.6451 data_time: 0.0175 memory: 10484 grad_norm: 0.1586 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.6731 recall@top3: 0.8077 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0669 loss: 0.0669 2022/08/10 15:45:39 - mmengine - INFO - Epoch(train) [3][1480/3842] lr: 7.4572e-02 eta: 4:23:22 time: 0.5124 data_time: 0.0187 memory: 10484 grad_norm: 0.1608 recall@thr=0.5: 0.8284 prec@thr=0.5: 0.8137 recall@top3: 0.9461 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0594 loss: 0.0594 2022/08/10 15:45:49 - mmengine - INFO - Epoch(train) [3][1500/3842] lr: 7.4561e-02 eta: 4:23:10 time: 0.5182 data_time: 0.0244 memory: 10484 grad_norm: 0.1608 recall@thr=0.5: 0.6902 prec@thr=0.5: 0.8627 recall@top3: 0.8029 prec@top3: 0.8235 recall@top5: 0.9588 prec@top5: 0.6118 loss_action_cls: 0.0587 loss: 0.0587 2022/08/10 15:45:59 - mmengine - INFO - Epoch(train) [3][1520/3842] lr: 7.4549e-02 eta: 4:22:57 time: 0.5061 data_time: 0.0189 memory: 10484 grad_norm: 0.1669 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6373 recall@top3: 0.7157 prec@top3: 0.5294 recall@top5: 0.9216 prec@top5: 0.4235 loss_action_cls: 0.0578 loss: 0.0578 2022/08/10 15:46:10 - mmengine - INFO - Epoch(train) [3][1540/3842] lr: 7.4537e-02 eta: 4:22:46 time: 0.5393 data_time: 0.0178 memory: 10484 grad_norm: 0.1508 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6282 recall@top3: 0.7756 prec@top3: 0.4615 recall@top5: 0.9808 prec@top5: 0.4000 loss_action_cls: 0.0485 loss: 0.0485 2022/08/10 15:46:20 - mmengine - INFO - Epoch(train) [3][1560/3842] lr: 7.4525e-02 eta: 4:22:33 time: 0.5017 data_time: 0.0178 memory: 10484 grad_norm: 0.1612 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.8500 recall@top3: 0.8089 prec@top3: 0.8444 recall@top5: 0.9022 prec@top5: 0.5867 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 15:46:31 - mmengine - INFO - Epoch(train) [3][1580/3842] lr: 7.4513e-02 eta: 4:22:22 time: 0.5483 data_time: 0.0173 memory: 10484 grad_norm: 0.1591 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.9062 recall@top3: 0.8052 prec@top3: 0.8542 recall@top5: 0.9375 prec@top5: 0.6250 loss_action_cls: 0.0626 loss: 0.0626 2022/08/10 15:46:48 - mmengine - INFO - Epoch(train) [3][1600/3842] lr: 7.4500e-02 eta: 4:22:31 time: 0.8431 data_time: 0.0186 memory: 10484 grad_norm: 0.1651 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8492 recall@top3: 0.8810 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4952 loss_action_cls: 0.0580 loss: 0.0580 2022/08/10 15:46:59 - mmengine - INFO - Epoch(train) [3][1620/3842] lr: 7.4488e-02 eta: 4:22:19 time: 0.5369 data_time: 0.0178 memory: 10484 grad_norm: 0.1594 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.6795 recall@top3: 0.6923 prec@top3: 0.5641 recall@top5: 0.8141 prec@top5: 0.4000 loss_action_cls: 0.0595 loss: 0.0595 2022/08/10 15:47:10 - mmengine - INFO - Epoch(train) [3][1640/3842] lr: 7.4475e-02 eta: 4:22:12 time: 0.5867 data_time: 0.0227 memory: 10484 grad_norm: 0.1627 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.6176 recall@top3: 0.7353 prec@top3: 0.5882 recall@top5: 0.8873 prec@top5: 0.4353 loss_action_cls: 0.0685 loss: 0.0685 2022/08/10 15:47:21 - mmengine - INFO - Epoch(train) [3][1660/3842] lr: 7.4462e-02 eta: 4:22:01 time: 0.5399 data_time: 0.0255 memory: 10484 grad_norm: 0.1703 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5833 recall@top3: 0.7619 prec@top3: 0.6429 recall@top5: 0.8571 prec@top5: 0.4429 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 15:47:32 - mmengine - INFO - Epoch(train) [3][1680/3842] lr: 7.4449e-02 eta: 4:21:50 time: 0.5476 data_time: 0.0176 memory: 10484 grad_norm: 0.1754 recall@thr=0.5: 0.5389 prec@thr=0.5: 0.6444 recall@top3: 0.5389 prec@top3: 0.4889 recall@top5: 0.7333 prec@top5: 0.3733 loss_action_cls: 0.0628 loss: 0.0628 2022/08/10 15:47:42 - mmengine - INFO - Epoch(train) [3][1700/3842] lr: 7.4436e-02 eta: 4:21:38 time: 0.5162 data_time: 0.0208 memory: 10484 grad_norm: 0.1497 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.9314 recall@top3: 0.8137 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0559 loss: 0.0559 2022/08/10 15:47:53 - mmengine - INFO - Epoch(train) [3][1720/3842] lr: 7.4423e-02 eta: 4:21:27 time: 0.5433 data_time: 0.0172 memory: 10484 grad_norm: 0.1605 recall@thr=0.5: 0.8569 prec@thr=0.5: 0.8431 recall@top3: 0.9353 prec@top3: 0.7255 recall@top5: 0.9618 prec@top5: 0.4588 loss_action_cls: 0.0555 loss: 0.0555 2022/08/10 15:48:04 - mmengine - INFO - Epoch(train) [3][1740/3842] lr: 7.4409e-02 eta: 4:21:17 time: 0.5438 data_time: 0.0244 memory: 10484 grad_norm: 0.1652 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.9103 recall@top3: 0.8974 prec@top3: 0.6667 recall@top5: 0.9359 prec@top5: 0.4154 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 15:48:15 - mmengine - INFO - Epoch(train) [3][1760/3842] lr: 7.4396e-02 eta: 4:21:06 time: 0.5436 data_time: 0.0171 memory: 10484 grad_norm: 0.1570 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7151 recall@top3: 0.7778 prec@top3: 0.6032 recall@top5: 0.9762 prec@top5: 0.4476 loss_action_cls: 0.0586 loss: 0.0586 2022/08/10 15:48:26 - mmengine - INFO - Epoch(train) [3][1780/3842] lr: 7.4382e-02 eta: 4:20:55 time: 0.5290 data_time: 0.0163 memory: 10484 grad_norm: 0.1562 recall@thr=0.5: 0.6679 prec@thr=0.5: 0.8051 recall@top3: 0.7577 prec@top3: 0.6667 recall@top5: 0.8885 prec@top5: 0.4769 loss_action_cls: 0.0569 loss: 0.0569 2022/08/10 15:48:36 - mmengine - INFO - Epoch(train) [3][1800/3842] lr: 7.4368e-02 eta: 4:20:43 time: 0.5239 data_time: 0.0164 memory: 10484 grad_norm: 0.1668 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6140 recall@top3: 0.7456 prec@top3: 0.5965 recall@top5: 0.9123 prec@top5: 0.4526 loss_action_cls: 0.0567 loss: 0.0567 2022/08/10 15:48:46 - mmengine - INFO - Epoch(train) [3][1820/3842] lr: 7.4354e-02 eta: 4:20:29 time: 0.5003 data_time: 0.0183 memory: 10484 grad_norm: 0.1600 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.7083 recall@top3: 0.5648 prec@top3: 0.5741 recall@top5: 0.8056 prec@top5: 0.4778 loss_action_cls: 0.0557 loss: 0.0557 2022/08/10 15:48:57 - mmengine - INFO - Epoch(train) [3][1840/3842] lr: 7.4339e-02 eta: 4:20:18 time: 0.5238 data_time: 0.0136 memory: 10484 grad_norm: 0.1609 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7760 recall@top3: 0.7604 prec@top3: 0.6875 recall@top5: 0.8750 prec@top5: 0.4875 loss_action_cls: 0.0504 loss: 0.0504 2022/08/10 15:49:07 - mmengine - INFO - Epoch(train) [3][1860/3842] lr: 7.4325e-02 eta: 4:20:06 time: 0.5198 data_time: 0.0166 memory: 10484 grad_norm: 0.1660 recall@thr=0.5: 0.6052 prec@thr=0.5: 0.7552 recall@top3: 0.6667 prec@top3: 0.6875 recall@top5: 0.8302 prec@top5: 0.5500 loss_action_cls: 0.0645 loss: 0.0645 2022/08/10 15:49:17 - mmengine - INFO - Epoch(train) [3][1880/3842] lr: 7.4311e-02 eta: 4:19:54 time: 0.5225 data_time: 0.0159 memory: 10484 grad_norm: 0.1497 recall@thr=0.5: 0.7006 prec@thr=0.5: 0.8333 recall@top3: 0.8272 prec@top3: 0.8148 recall@top5: 0.9352 prec@top5: 0.5556 loss_action_cls: 0.0560 loss: 0.0560 2022/08/10 15:49:28 - mmengine - INFO - Epoch(train) [3][1900/3842] lr: 7.4296e-02 eta: 4:19:42 time: 0.5256 data_time: 0.0172 memory: 10484 grad_norm: 0.1565 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7738 recall@top3: 0.7500 prec@top3: 0.6905 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0591 loss: 0.0591 2022/08/10 15:49:38 - mmengine - INFO - Epoch(train) [3][1920/3842] lr: 7.4281e-02 eta: 4:19:29 time: 0.4991 data_time: 0.0172 memory: 10484 grad_norm: 0.1808 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8013 recall@top3: 0.9038 prec@top3: 0.7692 recall@top5: 0.9487 prec@top5: 0.4846 loss_action_cls: 0.0524 loss: 0.0524 2022/08/10 15:49:48 - mmengine - INFO - Epoch(train) [3][1940/3842] lr: 7.4266e-02 eta: 4:19:17 time: 0.5267 data_time: 0.0165 memory: 10484 grad_norm: 0.1773 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.7308 recall@top3: 0.7051 prec@top3: 0.5128 recall@top5: 0.7821 prec@top5: 0.3385 loss_action_cls: 0.0536 loss: 0.0536 2022/08/10 15:49:58 - mmengine - INFO - Epoch(train) [3][1960/3842] lr: 7.4251e-02 eta: 4:19:04 time: 0.4978 data_time: 0.0163 memory: 10484 grad_norm: 0.1642 recall@thr=0.5: 0.6974 prec@thr=0.5: 0.8596 recall@top3: 0.8202 prec@top3: 0.7368 recall@top5: 0.9211 prec@top5: 0.5053 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 15:50:09 - mmengine - INFO - Epoch(train) [3][1980/3842] lr: 7.4235e-02 eta: 4:18:53 time: 0.5337 data_time: 0.0179 memory: 10484 grad_norm: 0.1587 recall@thr=0.5: 0.5782 prec@thr=0.5: 0.8462 recall@top3: 0.6487 prec@top3: 0.6154 recall@top5: 0.8308 prec@top5: 0.5077 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 15:50:20 - mmengine - INFO - Epoch(train) [3][2000/3842] lr: 7.4220e-02 eta: 4:18:41 time: 0.5263 data_time: 0.0177 memory: 10484 grad_norm: 0.1696 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.7436 recall@top3: 0.7308 prec@top3: 0.6923 recall@top5: 0.8718 prec@top5: 0.5077 loss_action_cls: 0.0642 loss: 0.0642 2022/08/10 15:50:30 - mmengine - INFO - Epoch(train) [3][2020/3842] lr: 7.4204e-02 eta: 4:18:28 time: 0.4992 data_time: 0.0185 memory: 10484 grad_norm: 0.1588 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6282 recall@top3: 0.6795 prec@top3: 0.6667 recall@top5: 0.7949 prec@top5: 0.4769 loss_action_cls: 0.0565 loss: 0.0565 2022/08/10 15:50:40 - mmengine - INFO - Epoch(train) [3][2040/3842] lr: 7.4189e-02 eta: 4:18:16 time: 0.5205 data_time: 0.0147 memory: 10484 grad_norm: 0.1652 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.6833 recall@top3: 0.7167 prec@top3: 0.6667 recall@top5: 0.8458 prec@top5: 0.4800 loss_action_cls: 0.0532 loss: 0.0532 2022/08/10 15:50:50 - mmengine - INFO - Epoch(train) [3][2060/3842] lr: 7.4173e-02 eta: 4:18:03 time: 0.4995 data_time: 0.0183 memory: 10484 grad_norm: 0.1602 recall@thr=0.5: 0.7636 prec@thr=0.5: 0.8939 recall@top3: 0.8818 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0523 loss: 0.0523 2022/08/10 15:51:00 - mmengine - INFO - Epoch(train) [3][2080/3842] lr: 7.4157e-02 eta: 4:17:51 time: 0.5219 data_time: 0.0171 memory: 10484 grad_norm: 0.1614 recall@thr=0.5: 0.9111 prec@thr=0.5: 0.9000 recall@top3: 0.9667 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 15:51:11 - mmengine - INFO - Epoch(train) [3][2100/3842] lr: 7.4140e-02 eta: 4:17:41 time: 0.5523 data_time: 0.0209 memory: 10484 grad_norm: 0.1856 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.8182 recall@top3: 0.7273 prec@top3: 0.6667 recall@top5: 0.8220 prec@top5: 0.4545 loss_action_cls: 0.0552 loss: 0.0552 2022/08/10 15:51:23 - mmengine - INFO - Epoch(train) [3][2120/3842] lr: 7.4124e-02 eta: 4:17:31 time: 0.5656 data_time: 0.0183 memory: 10484 grad_norm: 0.1596 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6127 recall@top3: 0.8157 prec@top3: 0.5686 recall@top5: 0.8549 prec@top5: 0.3647 loss_action_cls: 0.0525 loss: 0.0525 2022/08/10 15:51:33 - mmengine - INFO - Epoch(train) [3][2140/3842] lr: 7.4107e-02 eta: 4:17:20 time: 0.5246 data_time: 0.0194 memory: 10484 grad_norm: 0.1568 recall@thr=0.5: 0.2448 prec@thr=0.5: 0.5625 recall@top3: 0.6240 prec@top3: 0.6667 recall@top5: 0.8375 prec@top5: 0.5500 loss_action_cls: 0.0553 loss: 0.0553 2022/08/10 15:51:44 - mmengine - INFO - Epoch(train) [3][2160/3842] lr: 7.4091e-02 eta: 4:17:07 time: 0.5165 data_time: 0.0167 memory: 10484 grad_norm: 0.1538 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.8667 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9556 prec@top5: 0.4667 loss_action_cls: 0.0585 loss: 0.0585 2022/08/10 15:51:54 - mmengine - INFO - Epoch(train) [3][2180/3842] lr: 7.4074e-02 eta: 4:16:55 time: 0.5029 data_time: 0.0183 memory: 10484 grad_norm: 0.1597 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6250 recall@top3: 0.8056 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.3833 loss_action_cls: 0.0563 loss: 0.0563 2022/08/10 15:52:05 - mmengine - INFO - Epoch(train) [3][2200/3842] lr: 7.4057e-02 eta: 4:16:44 time: 0.5460 data_time: 0.0167 memory: 10484 grad_norm: 0.1506 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.7179 recall@top3: 0.5769 prec@top3: 0.4615 recall@top5: 0.7692 prec@top5: 0.3231 loss_action_cls: 0.0538 loss: 0.0538 2022/08/10 15:52:15 - mmengine - INFO - Epoch(train) [3][2220/3842] lr: 7.4040e-02 eta: 4:16:31 time: 0.5036 data_time: 0.0170 memory: 10484 grad_norm: 0.1652 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7598 recall@top3: 0.8725 prec@top3: 0.7255 recall@top5: 0.9510 prec@top5: 0.4824 loss_action_cls: 0.0524 loss: 0.0524 2022/08/10 15:52:25 - mmengine - INFO - Epoch(train) [3][2240/3842] lr: 7.4022e-02 eta: 4:16:20 time: 0.5346 data_time: 0.0165 memory: 10484 grad_norm: 0.1585 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7306 recall@top3: 0.8194 prec@top3: 0.5333 recall@top5: 0.9167 prec@top5: 0.3667 loss_action_cls: 0.0541 loss: 0.0541 2022/08/10 15:52:36 - mmengine - INFO - Epoch(train) [3][2260/3842] lr: 7.4005e-02 eta: 4:16:09 time: 0.5433 data_time: 0.0166 memory: 10484 grad_norm: 0.1566 recall@thr=0.5: 0.6823 prec@thr=0.5: 0.8594 recall@top3: 0.8542 prec@top3: 0.7500 recall@top5: 0.9844 prec@top5: 0.5500 loss_action_cls: 0.0543 loss: 0.0543 2022/08/10 15:52:46 - mmengine - INFO - Epoch(train) [3][2280/3842] lr: 7.3987e-02 eta: 4:15:57 time: 0.5035 data_time: 0.0177 memory: 10484 grad_norm: 0.1560 recall@thr=0.5: 0.8333 prec@thr=0.5: 1.0000 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0534 loss: 0.0534 2022/08/10 15:52:57 - mmengine - INFO - Epoch(train) [3][2300/3842] lr: 7.3969e-02 eta: 4:15:45 time: 0.5220 data_time: 0.0161 memory: 10484 grad_norm: 0.1432 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.8514 recall@top3: 0.8406 prec@top3: 0.7681 recall@top5: 0.9855 prec@top5: 0.5565 loss_action_cls: 0.0601 loss: 0.0601 2022/08/10 15:53:05 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 15:53:07 - mmengine - INFO - Epoch(train) [3][2320/3842] lr: 7.3951e-02 eta: 4:15:33 time: 0.5238 data_time: 0.0158 memory: 10484 grad_norm: 0.1591 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.7597 recall@top3: 0.8681 prec@top3: 0.6667 recall@top5: 0.9792 prec@top5: 0.4667 loss_action_cls: 0.0536 loss: 0.0536 2022/08/10 15:53:19 - mmengine - INFO - Epoch(train) [3][2340/3842] lr: 7.3933e-02 eta: 4:15:26 time: 0.6063 data_time: 0.0199 memory: 10484 grad_norm: 0.1658 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7292 recall@top3: 0.8958 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0536 loss: 0.0536 2022/08/10 15:53:30 - mmengine - INFO - Epoch(train) [3][2360/3842] lr: 7.3915e-02 eta: 4:15:15 time: 0.5291 data_time: 0.0147 memory: 10484 grad_norm: 0.1620 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.6410 recall@top3: 0.7692 prec@top3: 0.4103 recall@top5: 0.9615 prec@top5: 0.3231 loss_action_cls: 0.0498 loss: 0.0498 2022/08/10 15:53:41 - mmengine - INFO - Epoch(train) [3][2380/3842] lr: 7.3897e-02 eta: 4:15:04 time: 0.5448 data_time: 0.0167 memory: 10484 grad_norm: 0.1575 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7500 recall@top3: 0.7619 prec@top3: 0.5476 recall@top5: 0.9643 prec@top5: 0.4429 loss_action_cls: 0.0511 loss: 0.0511 2022/08/10 15:53:51 - mmengine - INFO - Epoch(train) [3][2400/3842] lr: 7.3878e-02 eta: 4:14:53 time: 0.5288 data_time: 0.0192 memory: 10484 grad_norm: 0.1647 recall@thr=0.5: 0.6187 prec@thr=0.5: 0.7812 recall@top3: 0.7458 prec@top3: 0.6875 recall@top5: 0.9354 prec@top5: 0.5125 loss_action_cls: 0.0607 loss: 0.0607 2022/08/10 15:54:02 - mmengine - INFO - Epoch(train) [3][2420/3842] lr: 7.3860e-02 eta: 4:14:41 time: 0.5246 data_time: 0.0163 memory: 10484 grad_norm: 0.1633 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6471 recall@top3: 0.8039 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4353 loss_action_cls: 0.0514 loss: 0.0514 2022/08/10 15:54:13 - mmengine - INFO - Epoch(train) [3][2440/3842] lr: 7.3841e-02 eta: 4:14:32 time: 0.5686 data_time: 0.0317 memory: 10484 grad_norm: 0.1559 recall@thr=0.5: 0.8819 prec@thr=0.5: 0.9444 recall@top3: 0.9028 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0559 loss: 0.0559 2022/08/10 15:54:23 - mmengine - INFO - Epoch(train) [3][2460/3842] lr: 7.3822e-02 eta: 4:14:19 time: 0.5025 data_time: 0.0182 memory: 10484 grad_norm: 0.1645 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.5885 recall@top3: 0.7917 prec@top3: 0.6042 recall@top5: 0.9271 prec@top5: 0.4500 loss_action_cls: 0.0570 loss: 0.0570 2022/08/10 15:54:34 - mmengine - INFO - Epoch(train) [3][2480/3842] lr: 7.3803e-02 eta: 4:14:08 time: 0.5256 data_time: 0.0172 memory: 10484 grad_norm: 0.1608 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.8462 recall@top3: 0.7308 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.4769 loss_action_cls: 0.0584 loss: 0.0584 2022/08/10 15:54:52 - mmengine - INFO - Epoch(train) [3][2500/3842] lr: 7.3783e-02 eta: 4:14:16 time: 0.8928 data_time: 0.0190 memory: 10484 grad_norm: 0.1590 recall@thr=0.5: 0.5826 prec@thr=0.5: 0.7681 recall@top3: 0.6203 prec@top3: 0.5507 recall@top5: 0.7957 prec@top5: 0.4261 loss_action_cls: 0.0605 loss: 0.0605 2022/08/10 15:55:02 - mmengine - INFO - Epoch(train) [3][2520/3842] lr: 7.3764e-02 eta: 4:14:05 time: 0.5311 data_time: 0.0195 memory: 10484 grad_norm: 0.1518 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8474 recall@top3: 0.7412 prec@top3: 0.7193 recall@top5: 0.8640 prec@top5: 0.5053 loss_action_cls: 0.0559 loss: 0.0559 2022/08/10 15:55:13 - mmengine - INFO - Epoch(train) [3][2540/3842] lr: 7.3744e-02 eta: 4:13:53 time: 0.5210 data_time: 0.0175 memory: 10484 grad_norm: 0.1703 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.7101 recall@top3: 0.7464 prec@top3: 0.5942 recall@top5: 0.8333 prec@top5: 0.4087 loss_action_cls: 0.0603 loss: 0.0603 2022/08/10 15:55:23 - mmengine - INFO - Epoch(train) [3][2560/3842] lr: 7.3725e-02 eta: 4:13:40 time: 0.5001 data_time: 0.0164 memory: 10484 grad_norm: 0.1665 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.6477 recall@top3: 0.7121 prec@top3: 0.6667 recall@top5: 0.9015 prec@top5: 0.5091 loss_action_cls: 0.0556 loss: 0.0556 2022/08/10 15:55:33 - mmengine - INFO - Epoch(train) [3][2580/3842] lr: 7.3705e-02 eta: 4:13:27 time: 0.4979 data_time: 0.0151 memory: 10484 grad_norm: 0.1637 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8889 recall@top3: 0.9167 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0538 loss: 0.0538 2022/08/10 15:55:45 - mmengine - INFO - Epoch(train) [3][2600/3842] lr: 7.3685e-02 eta: 4:13:20 time: 0.6149 data_time: 0.0167 memory: 10484 grad_norm: 0.1562 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.8106 recall@top3: 0.7803 prec@top3: 0.6818 recall@top5: 0.9280 prec@top5: 0.4727 loss_action_cls: 0.0504 loss: 0.0504 2022/08/10 15:55:56 - mmengine - INFO - Epoch(train) [3][2620/3842] lr: 7.3664e-02 eta: 4:13:10 time: 0.5458 data_time: 0.0173 memory: 10484 grad_norm: 0.1575 recall@thr=0.5: 0.6694 prec@thr=0.5: 0.8889 recall@top3: 0.8694 prec@top3: 0.7778 recall@top5: 0.9833 prec@top5: 0.5333 loss_action_cls: 0.0577 loss: 0.0577 2022/08/10 15:56:06 - mmengine - INFO - Epoch(train) [3][2640/3842] lr: 7.3644e-02 eta: 4:12:58 time: 0.5259 data_time: 0.0179 memory: 10484 grad_norm: 0.1594 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.7745 recall@top3: 0.8431 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0607 loss: 0.0607 2022/08/10 15:56:17 - mmengine - INFO - Epoch(train) [3][2660/3842] lr: 7.3624e-02 eta: 4:12:46 time: 0.5226 data_time: 0.0176 memory: 10484 grad_norm: 0.1564 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.9167 recall@top3: 0.8958 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.3667 loss_action_cls: 0.0555 loss: 0.0555 2022/08/10 15:56:27 - mmengine - INFO - Epoch(train) [3][2680/3842] lr: 7.3603e-02 eta: 4:12:35 time: 0.5226 data_time: 0.0170 memory: 10484 grad_norm: 0.1522 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7870 recall@top3: 0.9352 prec@top3: 0.7407 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0575 loss: 0.0575 2022/08/10 15:56:40 - mmengine - INFO - Epoch(train) [3][2700/3842] lr: 7.3582e-02 eta: 4:12:30 time: 0.6475 data_time: 0.0195 memory: 10484 grad_norm: 0.1731 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7292 recall@top3: 0.8194 prec@top3: 0.5694 recall@top5: 0.9861 prec@top5: 0.4250 loss_action_cls: 0.0533 loss: 0.0533 2022/08/10 15:56:50 - mmengine - INFO - Epoch(train) [3][2720/3842] lr: 7.3561e-02 eta: 4:12:17 time: 0.5019 data_time: 0.0153 memory: 10484 grad_norm: 0.1575 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8000 recall@top3: 0.7889 prec@top3: 0.5333 recall@top5: 0.8778 prec@top5: 0.3600 loss_action_cls: 0.0512 loss: 0.0512 2022/08/10 15:57:01 - mmengine - INFO - Epoch(train) [3][2740/3842] lr: 7.3540e-02 eta: 4:12:06 time: 0.5331 data_time: 0.0218 memory: 10484 grad_norm: 0.1511 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.6961 recall@top3: 0.7598 prec@top3: 0.6863 recall@top5: 0.8725 prec@top5: 0.4824 loss_action_cls: 0.0534 loss: 0.0534 2022/08/10 15:57:12 - mmengine - INFO - Epoch(train) [3][2760/3842] lr: 7.3519e-02 eta: 4:11:54 time: 0.5289 data_time: 0.0171 memory: 10484 grad_norm: 0.1502 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6736 recall@top3: 0.7604 prec@top3: 0.6111 recall@top5: 0.8750 prec@top5: 0.4333 loss_action_cls: 0.0540 loss: 0.0540 2022/08/10 15:57:27 - mmengine - INFO - Epoch(train) [3][2780/3842] lr: 7.3497e-02 eta: 4:11:55 time: 0.7664 data_time: 0.0176 memory: 10484 grad_norm: 0.1480 recall@thr=0.5: 0.5817 prec@thr=0.5: 0.6292 recall@top3: 0.6758 prec@top3: 0.6167 recall@top5: 0.9000 prec@top5: 0.5100 loss_action_cls: 0.0528 loss: 0.0528 2022/08/10 15:57:38 - mmengine - INFO - Epoch(train) [3][2800/3842] lr: 7.3476e-02 eta: 4:11:44 time: 0.5365 data_time: 0.0222 memory: 10484 grad_norm: 0.1519 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.8333 recall@top3: 0.8030 prec@top3: 0.6667 recall@top5: 0.9394 prec@top5: 0.4909 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 15:57:48 - mmengine - INFO - Epoch(train) [3][2820/3842] lr: 7.3454e-02 eta: 4:11:33 time: 0.5316 data_time: 0.0161 memory: 10484 grad_norm: 0.1608 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.5238 recall@top3: 0.6429 prec@top3: 0.4603 recall@top5: 0.8413 prec@top5: 0.3619 loss_action_cls: 0.0616 loss: 0.0616 2022/08/10 15:58:02 - mmengine - INFO - Epoch(train) [3][2840/3842] lr: 7.3432e-02 eta: 4:11:30 time: 0.6892 data_time: 0.0217 memory: 10484 grad_norm: 0.1654 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.4941 recall@top3: 0.6765 prec@top3: 0.4510 recall@top5: 0.8529 prec@top5: 0.3529 loss_action_cls: 0.0561 loss: 0.0561 2022/08/10 15:58:12 - mmengine - INFO - Epoch(train) [3][2860/3842] lr: 7.3410e-02 eta: 4:11:18 time: 0.5071 data_time: 0.0187 memory: 10484 grad_norm: 0.1499 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8571 recall@top3: 0.8929 prec@top3: 0.8095 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0529 loss: 0.0529 2022/08/10 15:58:23 - mmengine - INFO - Epoch(train) [3][2880/3842] lr: 7.3388e-02 eta: 4:11:06 time: 0.5193 data_time: 0.0169 memory: 10484 grad_norm: 0.1585 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.7333 recall@top3: 0.7792 prec@top3: 0.6333 recall@top5: 0.9292 prec@top5: 0.4700 loss_action_cls: 0.0497 loss: 0.0497 2022/08/10 15:58:33 - mmengine - INFO - Epoch(train) [3][2900/3842] lr: 7.3366e-02 eta: 4:10:54 time: 0.5261 data_time: 0.0183 memory: 10484 grad_norm: 0.1615 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.6765 recall@top3: 0.7304 prec@top3: 0.5490 recall@top5: 0.9314 prec@top5: 0.4118 loss_action_cls: 0.0611 loss: 0.0611 2022/08/10 15:58:44 - mmengine - INFO - Epoch(train) [3][2920/3842] lr: 7.3343e-02 eta: 4:10:42 time: 0.5258 data_time: 0.0182 memory: 10484 grad_norm: 0.1600 recall@thr=0.5: 0.4213 prec@thr=0.5: 0.6574 recall@top3: 0.6481 prec@top3: 0.6111 recall@top5: 0.8889 prec@top5: 0.4778 loss_action_cls: 0.0542 loss: 0.0542 2022/08/10 15:58:54 - mmengine - INFO - Epoch(train) [3][2940/3842] lr: 7.3321e-02 eta: 4:10:31 time: 0.5220 data_time: 0.0160 memory: 10484 grad_norm: 0.1734 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.6029 recall@top3: 0.6882 prec@top3: 0.6078 recall@top5: 0.8608 prec@top5: 0.5176 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 15:59:04 - mmengine - INFO - Epoch(train) [3][2960/3842] lr: 7.3298e-02 eta: 4:10:18 time: 0.5008 data_time: 0.0164 memory: 10484 grad_norm: 0.1594 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.9306 recall@top3: 0.9236 prec@top3: 0.7778 recall@top5: 0.9792 prec@top5: 0.5000 loss_action_cls: 0.0515 loss: 0.0515 2022/08/10 15:59:15 - mmengine - INFO - Epoch(train) [3][2980/3842] lr: 7.3275e-02 eta: 4:10:06 time: 0.5314 data_time: 0.0169 memory: 10484 grad_norm: 0.1542 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8095 recall@top3: 0.7679 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0595 loss: 0.0595 2022/08/10 15:59:25 - mmengine - INFO - Epoch(train) [3][3000/3842] lr: 7.3252e-02 eta: 4:09:55 time: 0.5221 data_time: 0.0176 memory: 10484 grad_norm: 0.1558 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.7394 recall@top3: 0.8106 prec@top3: 0.6364 recall@top5: 0.9242 prec@top5: 0.4182 loss_action_cls: 0.0545 loss: 0.0545 2022/08/10 15:59:36 - mmengine - INFO - Epoch(train) [3][3020/3842] lr: 7.3229e-02 eta: 4:09:43 time: 0.5244 data_time: 0.0169 memory: 10484 grad_norm: 0.1535 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6583 recall@top3: 0.7083 prec@top3: 0.4500 recall@top5: 0.9583 prec@top5: 0.3700 loss_action_cls: 0.0552 loss: 0.0552 2022/08/10 15:59:46 - mmengine - INFO - Epoch(train) [3][3040/3842] lr: 7.3205e-02 eta: 4:09:31 time: 0.5253 data_time: 0.0183 memory: 10484 grad_norm: 0.1628 recall@thr=0.5: 0.9231 prec@thr=0.5: 0.8590 recall@top3: 0.8718 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0561 loss: 0.0561 2022/08/10 15:59:57 - mmengine - INFO - Epoch(train) [3][3060/3842] lr: 7.3182e-02 eta: 4:09:22 time: 0.5681 data_time: 0.0196 memory: 10484 grad_norm: 0.1564 recall@thr=0.5: 0.7387 prec@thr=0.5: 0.7091 recall@top3: 0.7737 prec@top3: 0.6559 recall@top5: 0.9559 prec@top5: 0.4903 loss_action_cls: 0.0567 loss: 0.0567 2022/08/10 16:00:08 - mmengine - INFO - Epoch(train) [3][3080/3842] lr: 7.3158e-02 eta: 4:09:10 time: 0.5158 data_time: 0.0203 memory: 10484 grad_norm: 0.1515 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.7222 recall@top3: 0.7188 prec@top3: 0.6667 recall@top5: 0.8993 prec@top5: 0.4667 loss_action_cls: 0.0638 loss: 0.0638 2022/08/10 16:00:18 - mmengine - INFO - Epoch(train) [3][3100/3842] lr: 7.3134e-02 eta: 4:08:59 time: 0.5305 data_time: 0.0164 memory: 10484 grad_norm: 0.1585 recall@thr=0.5: 0.4008 prec@thr=0.5: 0.5476 recall@top3: 0.5992 prec@top3: 0.5714 recall@top5: 0.8532 prec@top5: 0.4571 loss_action_cls: 0.0601 loss: 0.0601 2022/08/10 16:00:28 - mmengine - INFO - Epoch(train) [3][3120/3842] lr: 7.3110e-02 eta: 4:08:46 time: 0.5009 data_time: 0.0171 memory: 10484 grad_norm: 0.1526 recall@thr=0.5: 0.5219 prec@thr=0.5: 0.6842 recall@top3: 0.7763 prec@top3: 0.7368 recall@top5: 0.8816 prec@top5: 0.5158 loss_action_cls: 0.0510 loss: 0.0510 2022/08/10 16:00:39 - mmengine - INFO - Epoch(train) [3][3140/3842] lr: 7.3086e-02 eta: 4:08:35 time: 0.5404 data_time: 0.0162 memory: 10484 grad_norm: 0.1556 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7273 recall@top3: 0.8864 prec@top3: 0.6364 recall@top5: 0.9091 prec@top5: 0.4000 loss_action_cls: 0.0526 loss: 0.0526 2022/08/10 16:00:49 - mmengine - INFO - Epoch(train) [3][3160/3842] lr: 7.3062e-02 eta: 4:08:22 time: 0.4990 data_time: 0.0183 memory: 10484 grad_norm: 0.1619 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7292 recall@top3: 0.7708 prec@top3: 0.6667 recall@top5: 0.9208 prec@top5: 0.4900 loss_action_cls: 0.0536 loss: 0.0536 2022/08/10 16:01:00 - mmengine - INFO - Epoch(train) [3][3180/3842] lr: 7.3038e-02 eta: 4:08:11 time: 0.5348 data_time: 0.0164 memory: 10484 grad_norm: 0.1548 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8095 recall@top3: 0.9524 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 16:01:12 - mmengine - INFO - Epoch(train) [3][3200/3842] lr: 7.3013e-02 eta: 4:08:03 time: 0.5977 data_time: 0.0181 memory: 10484 grad_norm: 0.1514 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.7368 recall@top3: 0.8596 prec@top3: 0.6140 recall@top5: 0.9737 prec@top5: 0.4211 loss_action_cls: 0.0557 loss: 0.0557 2022/08/10 16:01:23 - mmengine - INFO - Epoch(train) [3][3220/3842] lr: 7.2988e-02 eta: 4:07:52 time: 0.5407 data_time: 0.0203 memory: 10484 grad_norm: 0.1549 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6343 recall@top3: 0.6481 prec@top3: 0.5185 recall@top5: 0.8148 prec@top5: 0.4111 loss_action_cls: 0.0565 loss: 0.0565 2022/08/10 16:01:33 - mmengine - INFO - Epoch(train) [3][3240/3842] lr: 7.2964e-02 eta: 4:07:40 time: 0.5034 data_time: 0.0219 memory: 10484 grad_norm: 0.1661 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6667 recall@top3: 0.6288 prec@top3: 0.4848 recall@top5: 0.8485 prec@top5: 0.4000 loss_action_cls: 0.0524 loss: 0.0524 2022/08/10 16:01:45 - mmengine - INFO - Epoch(train) [3][3260/3842] lr: 7.2939e-02 eta: 4:07:31 time: 0.5899 data_time: 0.0207 memory: 10484 grad_norm: 0.1610 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8264 recall@top3: 0.8785 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0534 loss: 0.0534 2022/08/10 16:01:55 - mmengine - INFO - Epoch(train) [3][3280/3842] lr: 7.2913e-02 eta: 4:07:21 time: 0.5448 data_time: 0.0214 memory: 10484 grad_norm: 0.1480 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8177 recall@top3: 0.7708 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0556 loss: 0.0556 2022/08/10 16:02:06 - mmengine - INFO - Epoch(train) [3][3300/3842] lr: 7.2888e-02 eta: 4:07:09 time: 0.5221 data_time: 0.0155 memory: 10484 grad_norm: 0.1592 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8030 recall@top3: 0.9318 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0591 loss: 0.0591 2022/08/10 16:02:14 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 16:02:17 - mmengine - INFO - Epoch(train) [3][3320/3842] lr: 7.2863e-02 eta: 4:06:59 time: 0.5610 data_time: 0.0165 memory: 10484 grad_norm: 0.1553 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.6842 recall@top3: 0.7061 prec@top3: 0.5614 recall@top5: 0.9035 prec@top5: 0.4421 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 16:02:32 - mmengine - INFO - Epoch(train) [3][3340/3842] lr: 7.2837e-02 eta: 4:07:00 time: 0.7686 data_time: 0.0170 memory: 10484 grad_norm: 0.1537 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6759 recall@top3: 0.8148 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 16:02:43 - mmengine - INFO - Epoch(train) [3][3360/3842] lr: 7.2811e-02 eta: 4:06:48 time: 0.5270 data_time: 0.0177 memory: 10484 grad_norm: 0.1590 recall@thr=0.5: 0.5573 prec@thr=0.5: 0.7917 recall@top3: 0.7396 prec@top3: 0.6667 recall@top5: 0.8698 prec@top5: 0.4750 loss_action_cls: 0.0539 loss: 0.0539 2022/08/10 16:02:54 - mmengine - INFO - Epoch(train) [3][3380/3842] lr: 7.2786e-02 eta: 4:06:36 time: 0.5242 data_time: 0.0168 memory: 10484 grad_norm: 0.1602 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6627 recall@top3: 0.6587 prec@top3: 0.6667 recall@top5: 0.6984 prec@top5: 0.4190 loss_action_cls: 0.0554 loss: 0.0554 2022/08/10 16:03:04 - mmengine - INFO - Epoch(train) [3][3400/3842] lr: 7.2760e-02 eta: 4:06:26 time: 0.5399 data_time: 0.0190 memory: 10484 grad_norm: 0.1580 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6786 recall@top3: 0.7083 prec@top3: 0.5238 recall@top5: 0.8571 prec@top5: 0.3857 loss_action_cls: 0.0486 loss: 0.0486 2022/08/10 16:03:15 - mmengine - INFO - Epoch(train) [3][3420/3842] lr: 7.2733e-02 eta: 4:06:14 time: 0.5265 data_time: 0.0165 memory: 10484 grad_norm: 0.1562 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.7436 recall@top3: 0.6667 prec@top3: 0.6154 recall@top5: 0.8846 prec@top5: 0.5077 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 16:03:31 - mmengine - INFO - Epoch(train) [3][3440/3842] lr: 7.2707e-02 eta: 4:06:17 time: 0.8133 data_time: 0.0189 memory: 10484 grad_norm: 0.1583 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.6833 recall@top3: 0.8500 prec@top3: 0.7333 recall@top5: 0.9583 prec@top5: 0.5100 loss_action_cls: 0.0591 loss: 0.0591 2022/08/10 16:03:42 - mmengine - INFO - Epoch(train) [3][3460/3842] lr: 7.2681e-02 eta: 4:06:05 time: 0.5337 data_time: 0.0175 memory: 10484 grad_norm: 0.1667 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.9608 recall@top3: 0.8480 prec@top3: 0.7255 recall@top5: 0.9559 prec@top5: 0.5059 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 16:03:54 - mmengine - INFO - Epoch(train) [3][3480/3842] lr: 7.2654e-02 eta: 4:05:58 time: 0.6118 data_time: 0.0204 memory: 10484 grad_norm: 0.1636 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.8182 recall@top3: 0.7386 prec@top3: 0.6515 recall@top5: 0.9205 prec@top5: 0.5091 loss_action_cls: 0.0553 loss: 0.0553 2022/08/10 16:04:05 - mmengine - INFO - Epoch(train) [3][3500/3842] lr: 7.2627e-02 eta: 4:05:48 time: 0.5524 data_time: 0.0198 memory: 10484 grad_norm: 0.1703 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8175 recall@top3: 0.8373 prec@top3: 0.7460 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 16:04:16 - mmengine - INFO - Epoch(train) [3][3520/3842] lr: 7.2600e-02 eta: 4:05:36 time: 0.5298 data_time: 0.0186 memory: 10484 grad_norm: 0.1505 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7396 recall@top3: 0.8073 prec@top3: 0.6458 recall@top5: 0.8958 prec@top5: 0.4375 loss_action_cls: 0.0534 loss: 0.0534 2022/08/10 16:04:27 - mmengine - INFO - Epoch(train) [3][3540/3842] lr: 7.2573e-02 eta: 4:05:27 time: 0.5741 data_time: 0.0250 memory: 10484 grad_norm: 0.1560 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.8222 recall@top3: 0.7167 prec@top3: 0.6444 recall@top5: 0.8000 prec@top5: 0.4400 loss_action_cls: 0.0532 loss: 0.0532 2022/08/10 16:04:38 - mmengine - INFO - Epoch(train) [3][3560/3842] lr: 7.2546e-02 eta: 4:05:16 time: 0.5460 data_time: 0.0189 memory: 10484 grad_norm: 0.1553 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.6176 recall@top3: 0.8775 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.4353 loss_action_cls: 0.0558 loss: 0.0558 2022/08/10 16:04:49 - mmengine - INFO - Epoch(train) [3][3580/3842] lr: 7.2519e-02 eta: 4:05:05 time: 0.5311 data_time: 0.0196 memory: 10484 grad_norm: 0.1559 recall@thr=0.5: 0.5536 prec@thr=0.5: 0.7560 recall@top3: 0.8214 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0491 loss: 0.0491 2022/08/10 16:04:59 - mmengine - INFO - Epoch(train) [3][3600/3842] lr: 7.2491e-02 eta: 4:04:54 time: 0.5342 data_time: 0.0188 memory: 10484 grad_norm: 0.1545 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.8155 recall@top3: 0.8929 prec@top3: 0.7857 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0556 loss: 0.0556 2022/08/10 16:05:10 - mmengine - INFO - Epoch(train) [3][3620/3842] lr: 7.2464e-02 eta: 4:04:41 time: 0.5068 data_time: 0.0183 memory: 10484 grad_norm: 0.1609 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.9365 recall@top3: 0.8571 prec@top3: 0.9206 recall@top5: 0.9762 prec@top5: 0.6476 loss_action_cls: 0.0582 loss: 0.0582 2022/08/10 16:05:20 - mmengine - INFO - Epoch(train) [3][3640/3842] lr: 7.2436e-02 eta: 4:04:30 time: 0.5275 data_time: 0.0183 memory: 10484 grad_norm: 0.1546 recall@thr=0.5: 0.4048 prec@thr=0.5: 0.6071 recall@top3: 0.6190 prec@top3: 0.5952 recall@top5: 0.8571 prec@top5: 0.4857 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 16:05:31 - mmengine - INFO - Epoch(train) [3][3660/3842] lr: 7.2408e-02 eta: 4:04:19 time: 0.5318 data_time: 0.0169 memory: 10484 grad_norm: 0.1618 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8186 recall@top3: 0.9314 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0522 loss: 0.0522 2022/08/10 16:05:41 - mmengine - INFO - Epoch(train) [3][3680/3842] lr: 7.2380e-02 eta: 4:04:07 time: 0.5294 data_time: 0.0172 memory: 10484 grad_norm: 0.1587 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.7222 recall@top3: 0.8333 prec@top3: 0.6296 recall@top5: 0.8333 prec@top5: 0.3778 loss_action_cls: 0.0509 loss: 0.0509 2022/08/10 16:05:52 - mmengine - INFO - Epoch(train) [3][3700/3842] lr: 7.2352e-02 eta: 4:03:56 time: 0.5263 data_time: 0.0166 memory: 10484 grad_norm: 0.1659 recall@thr=0.5: 0.8974 prec@thr=0.5: 0.7564 recall@top3: 0.9615 prec@top3: 0.6154 recall@top5: 1.0000 prec@top5: 0.3846 loss_action_cls: 0.0568 loss: 0.0568 2022/08/10 16:06:02 - mmengine - INFO - Epoch(train) [3][3720/3842] lr: 7.2323e-02 eta: 4:03:43 time: 0.5062 data_time: 0.0189 memory: 10484 grad_norm: 0.1625 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8222 recall@top3: 0.7556 prec@top3: 0.6000 recall@top5: 0.8889 prec@top5: 0.4267 loss_action_cls: 0.0493 loss: 0.0493 2022/08/10 16:06:12 - mmengine - INFO - Epoch(train) [3][3740/3842] lr: 7.2295e-02 eta: 4:03:31 time: 0.5060 data_time: 0.0167 memory: 10484 grad_norm: 0.1691 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8651 recall@top3: 0.7778 prec@top3: 0.7778 recall@top5: 0.9683 prec@top5: 0.5714 loss_action_cls: 0.0537 loss: 0.0537 2022/08/10 16:06:22 - mmengine - INFO - Epoch(train) [3][3760/3842] lr: 7.2266e-02 eta: 4:03:18 time: 0.5015 data_time: 0.0184 memory: 10484 grad_norm: 0.1597 recall@thr=0.5: 0.7194 prec@thr=0.5: 0.8160 recall@top3: 0.8139 prec@top3: 0.8056 recall@top5: 0.9306 prec@top5: 0.5750 loss_action_cls: 0.0593 loss: 0.0593 2022/08/10 16:06:33 - mmengine - INFO - Epoch(train) [3][3780/3842] lr: 7.2237e-02 eta: 4:03:06 time: 0.5209 data_time: 0.0154 memory: 10484 grad_norm: 0.1562 recall@thr=0.5: 0.6697 prec@thr=0.5: 0.8030 recall@top3: 0.8364 prec@top3: 0.6667 recall@top5: 0.8955 prec@top5: 0.4545 loss_action_cls: 0.0497 loss: 0.0497 2022/08/10 16:06:44 - mmengine - INFO - Epoch(train) [3][3800/3842] lr: 7.2208e-02 eta: 4:02:56 time: 0.5518 data_time: 0.0178 memory: 10484 grad_norm: 0.1509 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8873 recall@top3: 0.8333 prec@top3: 0.7647 recall@top5: 0.9412 prec@top5: 0.5294 loss_action_cls: 0.0513 loss: 0.0513 2022/08/10 16:06:54 - mmengine - INFO - Epoch(train) [3][3820/3842] lr: 7.2179e-02 eta: 4:02:43 time: 0.5045 data_time: 0.0168 memory: 10484 grad_norm: 0.1560 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6000 recall@top3: 0.6917 prec@top3: 0.6167 recall@top5: 0.8500 prec@top5: 0.4500 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 16:07:04 - mmengine - INFO - Epoch(train) [3][3840/3842] lr: 7.2150e-02 eta: 4:02:32 time: 0.5203 data_time: 0.0163 memory: 10484 grad_norm: 0.1607 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7870 recall@top3: 0.9074 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 16:07:05 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 16:07:05 - mmengine - INFO - Epoch(train) [3][3842/3842] lr: 7.2147e-02 eta: 4:02:32 time: 0.5075 data_time: 0.0157 memory: 10484 grad_norm: 0.1708 recall@thr=0.5: 0.7537 prec@thr=0.5: 0.8704 recall@top3: 0.7093 prec@top3: 0.7037 recall@top5: 0.8815 prec@top5: 0.5778 loss_action_cls: 0.0502 loss: 0.0502 2022/08/10 16:07:05 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/10 16:07:12 - mmengine - INFO - Epoch(val) [3][20/6282] eta: 0:08:12 time: 0.0786 data_time: 0.0256 memory: 703 2022/08/10 16:07:13 - mmengine - INFO - Epoch(val) [3][40/6282] eta: 0:05:50 time: 0.0561 data_time: 0.0078 memory: 703 2022/08/10 16:07:14 - mmengine - INFO - Epoch(val) [3][60/6282] eta: 0:05:43 time: 0.0552 data_time: 0.0060 memory: 703 2022/08/10 16:07:15 - mmengine - INFO - Epoch(val) [3][80/6282] eta: 0:05:53 time: 0.0570 data_time: 0.0067 memory: 703 2022/08/10 16:07:17 - mmengine - INFO - Epoch(val) [3][100/6282] eta: 0:06:24 time: 0.0622 data_time: 0.0092 memory: 703 2022/08/10 16:07:18 - mmengine - INFO - Epoch(val) [3][120/6282] eta: 0:07:22 time: 0.0718 data_time: 0.0110 memory: 809 2022/08/10 16:07:20 - mmengine - INFO - Epoch(val) [3][140/6282] eta: 0:07:28 time: 0.0731 data_time: 0.0082 memory: 809 2022/08/10 16:07:21 - mmengine - INFO - Epoch(val) [3][160/6282] eta: 0:07:12 time: 0.0707 data_time: 0.0070 memory: 809 2022/08/10 16:07:23 - mmengine - INFO - Epoch(val) [3][180/6282] eta: 0:07:41 time: 0.0756 data_time: 0.0102 memory: 809 2022/08/10 16:07:24 - mmengine - INFO - Epoch(val) [3][200/6282] eta: 0:07:17 time: 0.0719 data_time: 0.0091 memory: 809 2022/08/10 16:07:26 - mmengine - INFO - Epoch(val) [3][220/6282] eta: 0:08:39 time: 0.0857 data_time: 0.0078 memory: 738 2022/08/10 16:07:27 - mmengine - INFO - Epoch(val) [3][240/6282] eta: 0:06:08 time: 0.0610 data_time: 0.0071 memory: 738 2022/08/10 16:07:28 - mmengine - INFO - Epoch(val) [3][260/6282] eta: 0:06:17 time: 0.0627 data_time: 0.0087 memory: 738 2022/08/10 16:07:29 - mmengine - INFO - Epoch(val) [3][280/6282] eta: 0:06:04 time: 0.0608 data_time: 0.0086 memory: 738 2022/08/10 16:07:31 - mmengine - INFO - Epoch(val) [3][300/6282] eta: 0:06:07 time: 0.0615 data_time: 0.0076 memory: 809 2022/08/10 16:07:32 - mmengine - INFO - Epoch(val) [3][320/6282] eta: 0:08:54 time: 0.0896 data_time: 0.0270 memory: 809 2022/08/10 16:07:35 - mmengine - INFO - Epoch(val) [3][340/6282] eta: 0:10:35 time: 0.1070 data_time: 0.0420 memory: 809 2022/08/10 16:07:36 - mmengine - INFO - Epoch(val) [3][360/6282] eta: 0:09:09 time: 0.0928 data_time: 0.0293 memory: 809 2022/08/10 16:07:38 - mmengine - INFO - Epoch(val) [3][380/6282] eta: 0:09:54 time: 0.1008 data_time: 0.0376 memory: 809 2022/08/10 16:07:40 - mmengine - INFO - Epoch(val) [3][400/6282] eta: 0:07:28 time: 0.0762 data_time: 0.0176 memory: 809 2022/08/10 16:07:41 - mmengine - INFO - Epoch(val) [3][420/6282] eta: 0:06:27 time: 0.0662 data_time: 0.0116 memory: 743 2022/08/10 16:07:43 - mmengine - INFO - Epoch(val) [3][440/6282] eta: 0:06:23 time: 0.0657 data_time: 0.0095 memory: 743 2022/08/10 16:07:44 - mmengine - INFO - Epoch(val) [3][460/6282] eta: 0:06:04 time: 0.0626 data_time: 0.0086 memory: 743 2022/08/10 16:07:45 - mmengine - INFO - Epoch(val) [3][480/6282] eta: 0:07:36 time: 0.0786 data_time: 0.0080 memory: 743 2022/08/10 16:07:47 - mmengine - INFO - Epoch(val) [3][500/6282] eta: 0:05:44 time: 0.0596 data_time: 0.0081 memory: 743 2022/08/10 16:07:49 - mmengine - INFO - Epoch(val) [3][520/6282] eta: 0:12:27 time: 0.1298 data_time: 0.0823 memory: 738 2022/08/10 16:07:51 - mmengine - INFO - Epoch(val) [3][540/6282] eta: 0:07:52 time: 0.0824 data_time: 0.0355 memory: 738 2022/08/10 16:07:52 - mmengine - INFO - Epoch(val) [3][560/6282] eta: 0:05:28 time: 0.0575 data_time: 0.0075 memory: 738 2022/08/10 16:07:53 - mmengine - INFO - Epoch(val) [3][580/6282] eta: 0:04:52 time: 0.0514 data_time: 0.0045 memory: 738 2022/08/10 16:07:54 - mmengine - INFO - Epoch(val) [3][600/6282] eta: 0:04:33 time: 0.0482 data_time: 0.0042 memory: 738 2022/08/10 16:07:55 - mmengine - INFO - Epoch(val) [3][620/6282] eta: 0:04:23 time: 0.0465 data_time: 0.0038 memory: 738 2022/08/10 16:07:56 - mmengine - INFO - Epoch(val) [3][640/6282] eta: 0:04:15 time: 0.0453 data_time: 0.0035 memory: 733 2022/08/10 16:07:57 - mmengine - INFO - Epoch(val) [3][660/6282] eta: 0:04:11 time: 0.0447 data_time: 0.0036 memory: 733 2022/08/10 16:07:58 - mmengine - INFO - Epoch(val) [3][680/6282] eta: 0:04:07 time: 0.0442 data_time: 0.0034 memory: 733 2022/08/10 16:07:59 - mmengine - INFO - Epoch(val) [3][700/6282] eta: 0:04:30 time: 0.0485 data_time: 0.0036 memory: 733 2022/08/10 16:08:01 - mmengine - INFO - Epoch(val) [3][720/6282] eta: 0:09:12 time: 0.0994 data_time: 0.0475 memory: 809 2022/08/10 16:08:06 - mmengine - INFO - Epoch(val) [3][740/6282] eta: 0:23:21 time: 0.2529 data_time: 0.1949 memory: 809 2022/08/10 16:08:08 - mmengine - INFO - Epoch(val) [3][760/6282] eta: 0:10:19 time: 0.1121 data_time: 0.0558 memory: 809 2022/08/10 16:08:11 - mmengine - INFO - Epoch(val) [3][780/6282] eta: 0:13:34 time: 0.1480 data_time: 0.0940 memory: 809 2022/08/10 16:08:13 - mmengine - INFO - Epoch(val) [3][800/6282] eta: 0:11:24 time: 0.1248 data_time: 0.0693 memory: 809 2022/08/10 16:08:15 - mmengine - INFO - Epoch(val) [3][820/6282] eta: 0:08:44 time: 0.0961 data_time: 0.0373 memory: 809 2022/08/10 16:08:17 - mmengine - INFO - Epoch(val) [3][840/6282] eta: 0:05:27 time: 0.0602 data_time: 0.0081 memory: 738 2022/08/10 16:08:18 - mmengine - INFO - Epoch(val) [3][860/6282] eta: 0:05:20 time: 0.0591 data_time: 0.0089 memory: 738 2022/08/10 16:08:19 - mmengine - INFO - Epoch(val) [3][880/6282] eta: 0:05:45 time: 0.0640 data_time: 0.0104 memory: 738 2022/08/10 16:08:20 - mmengine - INFO - Epoch(val) [3][900/6282] eta: 0:05:39 time: 0.0631 data_time: 0.0097 memory: 738 2022/08/10 16:08:22 - mmengine - INFO - Epoch(val) [3][920/6282] eta: 0:05:34 time: 0.0625 data_time: 0.0087 memory: 738 2022/08/10 16:08:23 - mmengine - INFO - Epoch(val) [3][940/6282] eta: 0:05:27 time: 0.0612 data_time: 0.0085 memory: 703 2022/08/10 16:08:24 - mmengine - INFO - Epoch(val) [3][960/6282] eta: 0:05:13 time: 0.0589 data_time: 0.0067 memory: 703 2022/08/10 16:08:26 - mmengine - INFO - Epoch(val) [3][980/6282] eta: 0:11:16 time: 0.1276 data_time: 0.0808 memory: 703 2022/08/10 16:08:27 - mmengine - INFO - Epoch(val) [3][1000/6282] eta: 0:04:28 time: 0.0508 data_time: 0.0045 memory: 703 2022/08/10 16:08:29 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:07:03 time: 0.0804 data_time: 0.0331 memory: 738 2022/08/10 16:08:31 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:06:38 time: 0.0760 data_time: 0.0277 memory: 738 2022/08/10 16:08:32 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:04:23 time: 0.0505 data_time: 0.0046 memory: 738 2022/08/10 16:08:33 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:04:13 time: 0.0487 data_time: 0.0039 memory: 738 2022/08/10 16:08:34 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:04:09 time: 0.0482 data_time: 0.0034 memory: 738 2022/08/10 16:08:35 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:04:34 time: 0.0533 data_time: 0.0050 memory: 738 2022/08/10 16:08:36 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:04:53 time: 0.0570 data_time: 0.0072 memory: 738 2022/08/10 16:08:38 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:07:49 time: 0.0917 data_time: 0.0199 memory: 738 2022/08/10 16:08:39 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:04:53 time: 0.0575 data_time: 0.0070 memory: 738 2022/08/10 16:08:40 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:04:40 time: 0.0552 data_time: 0.0062 memory: 738 2022/08/10 16:08:41 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:04:38 time: 0.0551 data_time: 0.0049 memory: 738 2022/08/10 16:08:44 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:13:06 time: 0.1559 data_time: 0.0970 memory: 809 2022/08/10 16:08:47 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:10:06 time: 0.1208 data_time: 0.0609 memory: 809 2022/08/10 16:08:51 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:16:37 time: 0.1993 data_time: 0.1416 memory: 809 2022/08/10 16:08:56 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:23:20 time: 0.2810 data_time: 0.2249 memory: 809 2022/08/10 16:08:59 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:12:48 time: 0.1548 data_time: 0.1000 memory: 809 2022/08/10 16:09:02 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:10:48 time: 0.1312 data_time: 0.0604 memory: 809 2022/08/10 16:09:04 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:10:02 time: 0.1225 data_time: 0.0628 memory: 809 2022/08/10 16:09:07 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:10:47 time: 0.1321 data_time: 0.0747 memory: 809 2022/08/10 16:09:09 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:09:53 time: 0.1216 data_time: 0.0642 memory: 809 2022/08/10 16:09:12 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:11:09 time: 0.1378 data_time: 0.0799 memory: 809 2022/08/10 16:09:14 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:06:17 time: 0.0779 data_time: 0.0207 memory: 809 2022/08/10 16:09:15 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:04:49 time: 0.0601 data_time: 0.0045 memory: 809 2022/08/10 16:09:16 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:05:03 time: 0.0632 data_time: 0.0059 memory: 809 2022/08/10 16:09:17 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:05:19 time: 0.0667 data_time: 0.0072 memory: 809 2022/08/10 16:09:19 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:05:39 time: 0.0712 data_time: 0.0094 memory: 911 2022/08/10 16:09:21 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:06:46 time: 0.0857 data_time: 0.0089 memory: 911 2022/08/10 16:09:22 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:06:37 time: 0.0843 data_time: 0.0081 memory: 911 2022/08/10 16:09:24 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:06:25 time: 0.0819 data_time: 0.0087 memory: 911 2022/08/10 16:09:26 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:08:19 time: 0.1068 data_time: 0.0104 memory: 911 2022/08/10 16:09:28 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:06:10 time: 0.0795 data_time: 0.0074 memory: 911 2022/08/10 16:09:29 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:05:14 time: 0.0678 data_time: 0.0088 memory: 809 2022/08/10 16:09:30 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:05:09 time: 0.0670 data_time: 0.0073 memory: 809 2022/08/10 16:09:32 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:05:15 time: 0.0685 data_time: 0.0080 memory: 809 2022/08/10 16:09:33 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:05:01 time: 0.0658 data_time: 0.0073 memory: 809 2022/08/10 16:09:34 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:04:45 time: 0.0626 data_time: 0.0048 memory: 809 2022/08/10 16:09:36 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:04:51 time: 0.0641 data_time: 0.0055 memory: 809 2022/08/10 16:09:37 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:05:02 time: 0.0669 data_time: 0.0073 memory: 809 2022/08/10 16:09:38 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:04:57 time: 0.0661 data_time: 0.0085 memory: 809 2022/08/10 16:09:40 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:04:43 time: 0.0633 data_time: 0.0074 memory: 809 2022/08/10 16:09:41 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:04:44 time: 0.0638 data_time: 0.0060 memory: 809 2022/08/10 16:09:42 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:05:29 time: 0.0742 data_time: 0.0166 memory: 809 2022/08/10 16:09:46 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:12:56 time: 0.1755 data_time: 0.0948 memory: 809 2022/08/10 16:09:48 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:07:25 time: 0.1011 data_time: 0.0431 memory: 809 2022/08/10 16:09:51 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:10:18 time: 0.1412 data_time: 0.0819 memory: 809 2022/08/10 16:09:53 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:08:56 time: 0.1229 data_time: 0.0653 memory: 809 2022/08/10 16:09:56 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:09:00 time: 0.1245 data_time: 0.0656 memory: 809 2022/08/10 16:09:57 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:03:56 time: 0.0547 data_time: 0.0061 memory: 743 2022/08/10 16:09:58 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:03:54 time: 0.0545 data_time: 0.0058 memory: 743 2022/08/10 16:09:59 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:04:10 time: 0.0585 data_time: 0.0081 memory: 743 2022/08/10 16:10:00 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:04:18 time: 0.0608 data_time: 0.0084 memory: 743 2022/08/10 16:10:02 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:06:07 time: 0.0867 data_time: 0.0080 memory: 743 2022/08/10 16:10:03 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:04:14 time: 0.0604 data_time: 0.0065 memory: 743 2022/08/10 16:10:04 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:04:26 time: 0.0634 data_time: 0.0090 memory: 743 2022/08/10 16:10:06 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:04:18 time: 0.0619 data_time: 0.0089 memory: 743 2022/08/10 16:10:07 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:04:26 time: 0.0640 data_time: 0.0088 memory: 743 2022/08/10 16:10:08 - mmengine - INFO - Epoch(val) [3][2140/6282] eta: 0:04:12 time: 0.0611 data_time: 0.0110 memory: 743 2022/08/10 16:10:09 - mmengine - INFO - Epoch(val) [3][2160/6282] eta: 0:04:25 time: 0.0644 data_time: 0.0098 memory: 738 2022/08/10 16:10:11 - mmengine - INFO - Epoch(val) [3][2180/6282] eta: 0:04:22 time: 0.0640 data_time: 0.0101 memory: 738 2022/08/10 16:10:12 - mmengine - INFO - Epoch(val) [3][2200/6282] eta: 0:04:20 time: 0.0639 data_time: 0.0096 memory: 738 2022/08/10 16:10:13 - mmengine - INFO - Epoch(val) [3][2220/6282] eta: 0:04:12 time: 0.0621 data_time: 0.0096 memory: 738 2022/08/10 16:10:15 - mmengine - INFO - Epoch(val) [3][2240/6282] eta: 0:04:35 time: 0.0682 data_time: 0.0093 memory: 738 2022/08/10 16:10:16 - mmengine - INFO - Epoch(val) [3][2260/6282] eta: 0:04:16 time: 0.0637 data_time: 0.0082 memory: 743 2022/08/10 16:10:17 - mmengine - INFO - Epoch(val) [3][2280/6282] eta: 0:03:54 time: 0.0586 data_time: 0.0095 memory: 743 2022/08/10 16:10:18 - mmengine - INFO - Epoch(val) [3][2300/6282] eta: 0:04:07 time: 0.0622 data_time: 0.0083 memory: 743 2022/08/10 16:10:20 - mmengine - INFO - Epoch(val) [3][2320/6282] eta: 0:04:03 time: 0.0613 data_time: 0.0094 memory: 743 2022/08/10 16:10:21 - mmengine - INFO - Epoch(val) [3][2340/6282] eta: 0:03:54 time: 0.0594 data_time: 0.0086 memory: 743 2022/08/10 16:10:22 - mmengine - INFO - Epoch(val) [3][2360/6282] eta: 0:04:07 time: 0.0631 data_time: 0.0105 memory: 738 2022/08/10 16:10:23 - mmengine - INFO - Epoch(val) [3][2380/6282] eta: 0:04:14 time: 0.0652 data_time: 0.0117 memory: 738 2022/08/10 16:10:25 - mmengine - INFO - Epoch(val) [3][2400/6282] eta: 0:03:54 time: 0.0605 data_time: 0.0074 memory: 738 2022/08/10 16:10:26 - mmengine - INFO - Epoch(val) [3][2420/6282] eta: 0:05:07 time: 0.0797 data_time: 0.0069 memory: 738 2022/08/10 16:10:27 - mmengine - INFO - Epoch(val) [3][2440/6282] eta: 0:03:53 time: 0.0608 data_time: 0.0091 memory: 738 2022/08/10 16:10:29 - mmengine - INFO - Epoch(val) [3][2460/6282] eta: 0:06:18 time: 0.0991 data_time: 0.0389 memory: 809 2022/08/10 16:10:31 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:05:22 time: 0.0849 data_time: 0.0251 memory: 809 2022/08/10 16:10:33 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:05:45 time: 0.0914 data_time: 0.0324 memory: 809 2022/08/10 16:10:34 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:04:56 time: 0.0789 data_time: 0.0200 memory: 809 2022/08/10 16:10:38 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:12:12 time: 0.1957 data_time: 0.1314 memory: 809 2022/08/10 16:10:45 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:20:33 time: 0.3314 data_time: 0.2730 memory: 809 2022/08/10 16:10:47 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:07:41 time: 0.1247 data_time: 0.0688 memory: 809 2022/08/10 16:10:50 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:06:13 time: 0.1013 data_time: 0.0440 memory: 809 2022/08/10 16:10:53 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:11:21 time: 0.1862 data_time: 0.1301 memory: 809 2022/08/10 16:10:57 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:09:53 time: 0.1630 data_time: 0.1057 memory: 809 2022/08/10 16:10:58 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:05:10 time: 0.0856 data_time: 0.0179 memory: 902 2022/08/10 16:11:00 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:04:25 time: 0.0736 data_time: 0.0058 memory: 902 2022/08/10 16:11:01 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:04:44 time: 0.0794 data_time: 0.0095 memory: 902 2022/08/10 16:11:03 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:04:49 time: 0.0812 data_time: 0.0090 memory: 902 2022/08/10 16:11:04 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:04:34 time: 0.0774 data_time: 0.0074 memory: 902 2022/08/10 16:11:06 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:03:09 time: 0.0539 data_time: 0.0069 memory: 743 2022/08/10 16:11:07 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:03:32 time: 0.0606 data_time: 0.0096 memory: 743 2022/08/10 16:11:08 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:03:24 time: 0.0586 data_time: 0.0059 memory: 743 2022/08/10 16:11:09 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:03:21 time: 0.0581 data_time: 0.0089 memory: 743 2022/08/10 16:11:10 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:03:21 time: 0.0587 data_time: 0.0059 memory: 743 2022/08/10 16:11:12 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:03:50 time: 0.0673 data_time: 0.0091 memory: 809 2022/08/10 16:11:13 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:04:59 time: 0.0879 data_time: 0.0251 memory: 809 2022/08/10 16:11:15 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:05:40 time: 0.1006 data_time: 0.0369 memory: 809 2022/08/10 16:11:17 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:04:14 time: 0.0758 data_time: 0.0053 memory: 809 2022/08/10 16:11:18 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:03:25 time: 0.0616 data_time: 0.0069 memory: 773 2022/08/10 16:11:19 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:03:22 time: 0.0611 data_time: 0.0081 memory: 773 2022/08/10 16:11:21 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:03:26 time: 0.0626 data_time: 0.0077 memory: 773 2022/08/10 16:11:22 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:03:19 time: 0.0609 data_time: 0.0072 memory: 773 2022/08/10 16:11:24 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:07:06 time: 0.1307 data_time: 0.0759 memory: 809 2022/08/10 16:11:26 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:04:23 time: 0.0812 data_time: 0.0189 memory: 809 2022/08/10 16:11:28 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:04:34 time: 0.0850 data_time: 0.0271 memory: 809 2022/08/10 16:11:33 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:14:54 time: 0.2793 data_time: 0.2172 memory: 809 2022/08/10 16:11:35 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:03:03 time: 0.0577 data_time: 0.0041 memory: 809 2022/08/10 16:11:36 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:04:09 time: 0.0788 data_time: 0.0277 memory: 743 2022/08/10 16:11:37 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:03:13 time: 0.0615 data_time: 0.0055 memory: 743 2022/08/10 16:11:38 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:02:47 time: 0.0538 data_time: 0.0053 memory: 743 2022/08/10 16:11:40 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:02:55 time: 0.0564 data_time: 0.0065 memory: 743 2022/08/10 16:11:41 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:03:15 time: 0.0635 data_time: 0.0071 memory: 809 2022/08/10 16:11:42 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:04:02 time: 0.0792 data_time: 0.0154 memory: 809 2022/08/10 16:11:44 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:04:50 time: 0.0955 data_time: 0.0320 memory: 809 2022/08/10 16:11:46 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:04:22 time: 0.0867 data_time: 0.0219 memory: 809 2022/08/10 16:11:48 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:03:55 time: 0.0784 data_time: 0.0091 memory: 809 2022/08/10 16:11:49 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:03:10 time: 0.0640 data_time: 0.0048 memory: 809 2022/08/10 16:11:50 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:03:05 time: 0.0628 data_time: 0.0052 memory: 809 2022/08/10 16:11:51 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:03:15 time: 0.0663 data_time: 0.0067 memory: 809 2022/08/10 16:11:53 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:03:11 time: 0.0655 data_time: 0.0066 memory: 809 2022/08/10 16:11:54 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:03:13 time: 0.0666 data_time: 0.0066 memory: 809 2022/08/10 16:11:55 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:02:47 time: 0.0581 data_time: 0.0086 memory: 738 2022/08/10 16:11:57 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:03:07 time: 0.0657 data_time: 0.0143 memory: 738 2022/08/10 16:11:58 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:03:01 time: 0.0638 data_time: 0.0093 memory: 738 2022/08/10 16:11:59 - mmengine - INFO - Epoch(val) [3][3460/6282] eta: 0:02:48 time: 0.0597 data_time: 0.0094 memory: 738 2022/08/10 16:12:00 - mmengine - INFO - Epoch(val) [3][3480/6282] eta: 0:02:46 time: 0.0596 data_time: 0.0074 memory: 738 2022/08/10 16:12:01 - mmengine - INFO - Epoch(val) [3][3500/6282] eta: 0:02:40 time: 0.0576 data_time: 0.0065 memory: 738 2022/08/10 16:12:03 - mmengine - INFO - Epoch(val) [3][3520/6282] eta: 0:02:46 time: 0.0604 data_time: 0.0081 memory: 738 2022/08/10 16:12:04 - mmengine - INFO - Epoch(val) [3][3540/6282] eta: 0:02:41 time: 0.0587 data_time: 0.0080 memory: 738 2022/08/10 16:12:05 - mmengine - INFO - Epoch(val) [3][3560/6282] eta: 0:02:33 time: 0.0563 data_time: 0.0063 memory: 738 2022/08/10 16:12:06 - mmengine - INFO - Epoch(val) [3][3580/6282] eta: 0:02:46 time: 0.0616 data_time: 0.0079 memory: 789 2022/08/10 16:12:07 - mmengine - INFO - Epoch(val) [3][3600/6282] eta: 0:02:55 time: 0.0654 data_time: 0.0088 memory: 789 2022/08/10 16:12:09 - mmengine - INFO - Epoch(val) [3][3620/6282] eta: 0:02:54 time: 0.0655 data_time: 0.0066 memory: 789 2022/08/10 16:12:10 - mmengine - INFO - Epoch(val) [3][3640/6282] eta: 0:02:46 time: 0.0632 data_time: 0.0069 memory: 789 2022/08/10 16:12:11 - mmengine - INFO - Epoch(val) [3][3660/6282] eta: 0:02:45 time: 0.0632 data_time: 0.0078 memory: 789 2022/08/10 16:12:13 - mmengine - INFO - Epoch(val) [3][3680/6282] eta: 0:02:48 time: 0.0646 data_time: 0.0077 memory: 809 2022/08/10 16:12:14 - mmengine - INFO - Epoch(val) [3][3700/6282] eta: 0:04:01 time: 0.0936 data_time: 0.0349 memory: 809 2022/08/10 16:12:16 - mmengine - INFO - Epoch(val) [3][3720/6282] eta: 0:04:15 time: 0.0998 data_time: 0.0168 memory: 809 2022/08/10 16:12:18 - mmengine - INFO - Epoch(val) [3][3740/6282] eta: 0:03:13 time: 0.0760 data_time: 0.0135 memory: 809 2022/08/10 16:12:20 - mmengine - INFO - Epoch(val) [3][3760/6282] eta: 0:03:19 time: 0.0792 data_time: 0.0168 memory: 809 2022/08/10 16:12:21 - mmengine - INFO - Epoch(val) [3][3780/6282] eta: 0:03:54 time: 0.0937 data_time: 0.0337 memory: 809 2022/08/10 16:12:23 - mmengine - INFO - Epoch(val) [3][3800/6282] eta: 0:03:26 time: 0.0831 data_time: 0.0222 memory: 809 2022/08/10 16:12:25 - mmengine - INFO - Epoch(val) [3][3820/6282] eta: 0:03:54 time: 0.0951 data_time: 0.0349 memory: 809 2022/08/10 16:12:27 - mmengine - INFO - Epoch(val) [3][3840/6282] eta: 0:03:28 time: 0.0852 data_time: 0.0243 memory: 809 2022/08/10 16:12:29 - mmengine - INFO - Epoch(val) [3][3860/6282] eta: 0:03:45 time: 0.0931 data_time: 0.0325 memory: 809 2022/08/10 16:12:30 - mmengine - INFO - Epoch(val) [3][3880/6282] eta: 0:03:27 time: 0.0864 data_time: 0.0267 memory: 809 2022/08/10 16:12:34 - mmengine - INFO - Epoch(val) [3][3900/6282] eta: 0:07:14 time: 0.1826 data_time: 0.1099 memory: 809 2022/08/10 16:12:35 - mmengine - INFO - Epoch(val) [3][3920/6282] eta: 0:02:48 time: 0.0715 data_time: 0.0147 memory: 809 2022/08/10 16:12:41 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:09:55 time: 0.2543 data_time: 0.1936 memory: 809 2022/08/10 16:12:42 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:02:29 time: 0.0645 data_time: 0.0055 memory: 809 2022/08/10 16:12:44 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:03:22 time: 0.0880 data_time: 0.0071 memory: 809 2022/08/10 16:12:45 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:02:32 time: 0.0668 data_time: 0.0068 memory: 809 2022/08/10 16:12:46 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:02:37 time: 0.0695 data_time: 0.0101 memory: 809 2022/08/10 16:12:48 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:02:35 time: 0.0693 data_time: 0.0063 memory: 902 2022/08/10 16:12:49 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:02:55 time: 0.0789 data_time: 0.0057 memory: 902 2022/08/10 16:12:51 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:02:54 time: 0.0794 data_time: 0.0086 memory: 902 2022/08/10 16:12:54 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:05:34 time: 0.1533 data_time: 0.0719 memory: 902 2022/08/10 16:12:55 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:02:48 time: 0.0777 data_time: 0.0052 memory: 902 2022/08/10 16:12:58 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:04:46 time: 0.1339 data_time: 0.0706 memory: 902 2022/08/10 16:12:59 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:02:03 time: 0.0583 data_time: 0.0061 memory: 738 2022/08/10 16:13:00 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:01:54 time: 0.0546 data_time: 0.0066 memory: 738 2022/08/10 16:13:02 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:01:58 time: 0.0571 data_time: 0.0067 memory: 738 2022/08/10 16:13:03 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:01:53 time: 0.0552 data_time: 0.0067 memory: 738 2022/08/10 16:13:04 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:01:52 time: 0.0553 data_time: 0.0058 memory: 738 2022/08/10 16:13:05 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:01:55 time: 0.0570 data_time: 0.0074 memory: 736 2022/08/10 16:13:07 - mmengine - INFO - Epoch(val) [3][4280/6282] eta: 0:02:45 time: 0.0827 data_time: 0.0071 memory: 736 2022/08/10 16:13:08 - mmengine - INFO - Epoch(val) [3][4300/6282] eta: 0:01:58 time: 0.0597 data_time: 0.0080 memory: 736 2022/08/10 16:13:09 - mmengine - INFO - Epoch(val) [3][4320/6282] eta: 0:01:56 time: 0.0596 data_time: 0.0069 memory: 736 2022/08/10 16:13:10 - mmengine - INFO - Epoch(val) [3][4340/6282] eta: 0:02:02 time: 0.0632 data_time: 0.0105 memory: 736 2022/08/10 16:13:12 - mmengine - INFO - Epoch(val) [3][4360/6282] eta: 0:02:10 time: 0.0681 data_time: 0.0074 memory: 809 2022/08/10 16:13:13 - mmengine - INFO - Epoch(val) [3][4380/6282] eta: 0:02:09 time: 0.0681 data_time: 0.0075 memory: 809 2022/08/10 16:13:14 - mmengine - INFO - Epoch(val) [3][4400/6282] eta: 0:02:08 time: 0.0684 data_time: 0.0087 memory: 809 2022/08/10 16:13:16 - mmengine - INFO - Epoch(val) [3][4420/6282] eta: 0:02:12 time: 0.0714 data_time: 0.0083 memory: 809 2022/08/10 16:13:18 - mmengine - INFO - Epoch(val) [3][4440/6282] eta: 0:02:53 time: 0.0942 data_time: 0.0091 memory: 816 2022/08/10 16:13:19 - mmengine - INFO - Epoch(val) [3][4460/6282] eta: 0:02:10 time: 0.0715 data_time: 0.0074 memory: 816 2022/08/10 16:13:21 - mmengine - INFO - Epoch(val) [3][4480/6282] eta: 0:02:08 time: 0.0713 data_time: 0.0076 memory: 816 2022/08/10 16:13:22 - mmengine - INFO - Epoch(val) [3][4500/6282] eta: 0:02:02 time: 0.0688 data_time: 0.0069 memory: 816 2022/08/10 16:13:23 - mmengine - INFO - Epoch(val) [3][4520/6282] eta: 0:01:55 time: 0.0654 data_time: 0.0081 memory: 816 2022/08/10 16:13:24 - mmengine - INFO - Epoch(val) [3][4540/6282] eta: 0:01:40 time: 0.0580 data_time: 0.0078 memory: 743 2022/08/10 16:13:26 - mmengine - INFO - Epoch(val) [3][4560/6282] eta: 0:01:43 time: 0.0603 data_time: 0.0067 memory: 743 2022/08/10 16:13:27 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:40 time: 0.0593 data_time: 0.0080 memory: 743 2022/08/10 16:13:28 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:36 time: 0.0573 data_time: 0.0081 memory: 743 2022/08/10 16:13:29 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:01:36 time: 0.0579 data_time: 0.0084 memory: 743 2022/08/10 16:13:30 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:55 time: 0.0703 data_time: 0.0079 memory: 816 2022/08/10 16:13:32 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:01:52 time: 0.0691 data_time: 0.0055 memory: 816 2022/08/10 16:13:33 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:51 time: 0.0696 data_time: 0.0068 memory: 816 2022/08/10 16:13:35 - mmengine - INFO - Epoch(val) [3][4700/6282] eta: 0:01:55 time: 0.0731 data_time: 0.0088 memory: 816 2022/08/10 16:13:37 - mmengine - INFO - Epoch(val) [3][4720/6282] eta: 0:02:30 time: 0.0966 data_time: 0.0086 memory: 816 2022/08/10 16:13:38 - mmengine - INFO - Epoch(val) [3][4740/6282] eta: 0:01:33 time: 0.0605 data_time: 0.0067 memory: 768 2022/08/10 16:13:39 - mmengine - INFO - Epoch(val) [3][4760/6282] eta: 0:01:37 time: 0.0638 data_time: 0.0071 memory: 768 2022/08/10 16:13:40 - mmengine - INFO - Epoch(val) [3][4780/6282] eta: 0:01:37 time: 0.0652 data_time: 0.0079 memory: 768 2022/08/10 16:13:42 - mmengine - INFO - Epoch(val) [3][4800/6282] eta: 0:01:35 time: 0.0642 data_time: 0.0085 memory: 768 2022/08/10 16:13:43 - mmengine - INFO - Epoch(val) [3][4820/6282] eta: 0:01:38 time: 0.0674 data_time: 0.0087 memory: 809 2022/08/10 16:13:45 - mmengine - INFO - Epoch(val) [3][4840/6282] eta: 0:01:42 time: 0.0713 data_time: 0.0080 memory: 809 2022/08/10 16:13:46 - mmengine - INFO - Epoch(val) [3][4860/6282] eta: 0:01:40 time: 0.0707 data_time: 0.0110 memory: 809 2022/08/10 16:13:47 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:45 time: 0.0752 data_time: 0.0137 memory: 809 2022/08/10 16:13:49 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:34 time: 0.0686 data_time: 0.0084 memory: 809 2022/08/10 16:13:50 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:01:33 time: 0.0690 data_time: 0.0076 memory: 811 2022/08/10 16:13:52 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:01:36 time: 0.0722 data_time: 0.0101 memory: 811 2022/08/10 16:13:53 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:34 time: 0.0713 data_time: 0.0086 memory: 811 2022/08/10 16:13:55 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:01:32 time: 0.0712 data_time: 0.0073 memory: 811 2022/08/10 16:13:56 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:02:01 time: 0.0944 data_time: 0.0086 memory: 811 2022/08/10 16:13:58 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:01:23 time: 0.0659 data_time: 0.0097 memory: 811 2022/08/10 16:13:59 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:01:17 time: 0.0624 data_time: 0.0095 memory: 743 2022/08/10 16:14:00 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:01:16 time: 0.0630 data_time: 0.0097 memory: 743 2022/08/10 16:14:01 - mmengine - INFO - Epoch(val) [3][5080/6282] eta: 0:01:11 time: 0.0594 data_time: 0.0074 memory: 743 2022/08/10 16:14:03 - mmengine - INFO - Epoch(val) [3][5100/6282] eta: 0:01:10 time: 0.0595 data_time: 0.0083 memory: 743 2022/08/10 16:14:04 - mmengine - INFO - Epoch(val) [3][5120/6282] eta: 0:01:11 time: 0.0618 data_time: 0.0093 memory: 743 2022/08/10 16:14:05 - mmengine - INFO - Epoch(val) [3][5140/6282] eta: 0:01:09 time: 0.0612 data_time: 0.0093 memory: 738 2022/08/10 16:14:06 - mmengine - INFO - Epoch(val) [3][5160/6282] eta: 0:01:09 time: 0.0622 data_time: 0.0086 memory: 738 2022/08/10 16:14:08 - mmengine - INFO - Epoch(val) [3][5180/6282] eta: 0:01:10 time: 0.0643 data_time: 0.0080 memory: 738 2022/08/10 16:14:09 - mmengine - INFO - Epoch(val) [3][5200/6282] eta: 0:01:09 time: 0.0646 data_time: 0.0087 memory: 738 2022/08/10 16:14:10 - mmengine - INFO - Epoch(val) [3][5220/6282] eta: 0:01:06 time: 0.0630 data_time: 0.0099 memory: 738 2022/08/10 16:14:11 - mmengine - INFO - Epoch(val) [3][5240/6282] eta: 0:01:04 time: 0.0622 data_time: 0.0098 memory: 736 2022/08/10 16:14:13 - mmengine - INFO - Epoch(val) [3][5260/6282] eta: 0:00:59 time: 0.0584 data_time: 0.0070 memory: 736 2022/08/10 16:14:14 - mmengine - INFO - Epoch(val) [3][5280/6282] eta: 0:00:59 time: 0.0595 data_time: 0.0087 memory: 736 2022/08/10 16:14:15 - mmengine - INFO - Epoch(val) [3][5300/6282] eta: 0:01:02 time: 0.0632 data_time: 0.0100 memory: 736 2022/08/10 16:14:17 - mmengine - INFO - Epoch(val) [3][5320/6282] eta: 0:01:21 time: 0.0846 data_time: 0.0074 memory: 738 2022/08/10 16:14:19 - mmengine - INFO - Epoch(val) [3][5340/6282] eta: 0:02:03 time: 0.1312 data_time: 0.0833 memory: 738 2022/08/10 16:14:21 - mmengine - INFO - Epoch(val) [3][5360/6282] eta: 0:01:17 time: 0.0838 data_time: 0.0338 memory: 738 2022/08/10 16:14:23 - mmengine - INFO - Epoch(val) [3][5380/6282] eta: 0:01:21 time: 0.0899 data_time: 0.0404 memory: 738 2022/08/10 16:14:24 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:01:07 time: 0.0768 data_time: 0.0268 memory: 738 2022/08/10 16:14:26 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:47 time: 0.0554 data_time: 0.0057 memory: 738 2022/08/10 16:14:27 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:00:50 time: 0.0598 data_time: 0.0070 memory: 738 2022/08/10 16:14:28 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:50 time: 0.0614 data_time: 0.0083 memory: 738 2022/08/10 16:14:29 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:55 time: 0.0693 data_time: 0.0085 memory: 738 2022/08/10 16:14:31 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:47 time: 0.0607 data_time: 0.0083 memory: 738 2022/08/10 16:14:32 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:00:49 time: 0.0653 data_time: 0.0081 memory: 763 2022/08/10 16:14:33 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:00:44 time: 0.0601 data_time: 0.0085 memory: 763 2022/08/10 16:14:34 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:44 time: 0.0615 data_time: 0.0065 memory: 763 2022/08/10 16:14:35 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:00:42 time: 0.0603 data_time: 0.0071 memory: 763 2022/08/10 16:14:38 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:01:09 time: 0.1023 data_time: 0.0486 memory: 763 2022/08/10 16:14:40 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:01:15 time: 0.1139 data_time: 0.0448 memory: 763 2022/08/10 16:14:42 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:01:09 time: 0.1083 data_time: 0.0601 memory: 738 2022/08/10 16:14:43 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:38 time: 0.0613 data_time: 0.0161 memory: 738 2022/08/10 16:14:44 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:30 time: 0.0507 data_time: 0.0053 memory: 738 2022/08/10 16:14:45 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:31 time: 0.0542 data_time: 0.0069 memory: 738 2022/08/10 16:14:46 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:33 time: 0.0590 data_time: 0.0075 memory: 780 2022/08/10 16:14:48 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:35 time: 0.0654 data_time: 0.0089 memory: 780 2022/08/10 16:14:49 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:31 time: 0.0603 data_time: 0.0058 memory: 780 2022/08/10 16:14:50 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:28 time: 0.0566 data_time: 0.0053 memory: 780 2022/08/10 16:14:51 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:28 time: 0.0584 data_time: 0.0051 memory: 780 2022/08/10 16:14:52 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:24 time: 0.0531 data_time: 0.0051 memory: 780 2022/08/10 16:14:53 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:21 time: 0.0497 data_time: 0.0035 memory: 763 2022/08/10 16:14:54 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:23 time: 0.0547 data_time: 0.0066 memory: 763 2022/08/10 16:14:56 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:21 time: 0.0532 data_time: 0.0042 memory: 763 2022/08/10 16:15:01 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:01:47 time: 0.2817 data_time: 0.2338 memory: 763 2022/08/10 16:15:07 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:01:51 time: 0.3076 data_time: 0.2421 memory: 763 2022/08/10 16:15:09 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:23 time: 0.0693 data_time: 0.0274 memory: 738 2022/08/10 16:15:10 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:23 time: 0.0721 data_time: 0.0297 memory: 738 2022/08/10 16:15:16 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:01:21 time: 0.2708 data_time: 0.2285 memory: 738 2022/08/10 16:15:17 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:22 time: 0.0781 data_time: 0.0031 memory: 809 2022/08/10 16:15:18 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:15 time: 0.0574 data_time: 0.0038 memory: 809 2022/08/10 16:15:19 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:13 time: 0.0575 data_time: 0.0041 memory: 809 2022/08/10 16:15:22 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:31 time: 0.1400 data_time: 0.0869 memory: 809 2022/08/10 16:15:23 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:00:11 time: 0.0573 data_time: 0.0035 memory: 809 2022/08/10 16:15:25 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:17 time: 0.0972 data_time: 0.0433 memory: 809 2022/08/10 16:15:27 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:10 time: 0.0620 data_time: 0.0086 memory: 809 2022/08/10 16:15:28 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:10 time: 0.0707 data_time: 0.0160 memory: 809 2022/08/10 16:15:29 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:07 time: 0.0636 data_time: 0.0107 memory: 809 2022/08/10 16:15:35 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:28 time: 0.2809 data_time: 0.2268 memory: 809 2022/08/10 16:15:37 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:06 time: 0.0836 data_time: 0.0044 memory: 809 2022/08/10 16:15:38 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:03 time: 0.0579 data_time: 0.0038 memory: 809 2022/08/10 16:15:39 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:02 time: 0.0547 data_time: 0.0035 memory: 809 2022/08/10 16:15:40 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:01 time: 0.0553 data_time: 0.0035 memory: 809 2022/08/10 16:15:41 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0547 data_time: 0.0037 memory: 809 2022/08/10 16:21:17 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2491 2022/08/10 16:21:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2022/08/10 16:21:21 - mmengine - INFO - The best checkpoint with 0.2491 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2022/08/10 16:21:32 - mmengine - INFO - Epoch(train) [4][20/3842] lr: 7.2118e-02 eta: 4:02:18 time: 0.5578 data_time: 0.0671 memory: 10484 grad_norm: 0.1727 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.5893 recall@top3: 0.8512 prec@top3: 0.6429 recall@top5: 0.8690 prec@top5: 0.4000 loss_action_cls: 0.0550 loss: 0.0550 2022/08/10 16:21:44 - mmengine - INFO - Epoch(train) [4][40/3842] lr: 7.2088e-02 eta: 4:02:10 time: 0.6005 data_time: 0.0226 memory: 10484 grad_norm: 0.1606 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7639 recall@top3: 0.8472 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4167 loss_action_cls: 0.0530 loss: 0.0530 2022/08/10 16:21:55 - mmengine - INFO - Epoch(train) [4][60/3842] lr: 7.2058e-02 eta: 4:01:58 time: 0.5225 data_time: 0.0151 memory: 10484 grad_norm: 0.1614 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8889 recall@top3: 0.8016 prec@top3: 0.8095 recall@top5: 0.9206 prec@top5: 0.5714 loss_action_cls: 0.0592 loss: 0.0592 2022/08/10 16:22:05 - mmengine - INFO - Epoch(train) [4][80/3842] lr: 7.2028e-02 eta: 4:01:47 time: 0.5224 data_time: 0.0165 memory: 10484 grad_norm: 0.1478 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7628 recall@top3: 0.7564 prec@top3: 0.6154 recall@top5: 0.9615 prec@top5: 0.4923 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 16:22:15 - mmengine - INFO - Epoch(train) [4][100/3842] lr: 7.1998e-02 eta: 4:01:35 time: 0.5243 data_time: 0.0177 memory: 10484 grad_norm: 0.1555 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7396 recall@top3: 0.8646 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0514 loss: 0.0514 2022/08/10 16:22:26 - mmengine - INFO - Epoch(train) [4][120/3842] lr: 7.1968e-02 eta: 4:01:24 time: 0.5419 data_time: 0.0180 memory: 10484 grad_norm: 0.1635 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9412 recall@top3: 0.8186 prec@top3: 0.8039 recall@top5: 0.9706 prec@top5: 0.5882 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 16:22:37 - mmengine - INFO - Epoch(train) [4][140/3842] lr: 7.1938e-02 eta: 4:01:14 time: 0.5567 data_time: 0.0186 memory: 10484 grad_norm: 0.1560 recall@thr=0.5: 0.5656 prec@thr=0.5: 0.8333 recall@top3: 0.7211 prec@top3: 0.6889 recall@top5: 0.8956 prec@top5: 0.5067 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 16:22:48 - mmengine - INFO - Epoch(train) [4][160/3842] lr: 7.1908e-02 eta: 4:01:03 time: 0.5427 data_time: 0.0161 memory: 10484 grad_norm: 0.1534 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.7937 recall@top3: 0.8095 prec@top3: 0.5714 recall@top5: 0.9643 prec@top5: 0.4190 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 16:22:59 - mmengine - INFO - Epoch(train) [4][180/3842] lr: 7.1877e-02 eta: 4:00:52 time: 0.5356 data_time: 0.0172 memory: 10484 grad_norm: 0.1526 recall@thr=0.5: 0.7157 prec@thr=0.5: 1.0000 recall@top3: 0.8529 prec@top3: 0.7255 recall@top5: 0.9608 prec@top5: 0.5176 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 16:23:10 - mmengine - INFO - Epoch(train) [4][200/3842] lr: 7.1846e-02 eta: 4:00:41 time: 0.5311 data_time: 0.0178 memory: 10484 grad_norm: 0.1541 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.7308 recall@top3: 0.7564 prec@top3: 0.6667 recall@top5: 0.8974 prec@top5: 0.4769 loss_action_cls: 0.0510 loss: 0.0510 2022/08/10 16:23:20 - mmengine - INFO - Epoch(train) [4][220/3842] lr: 7.1816e-02 eta: 4:00:29 time: 0.5246 data_time: 0.0178 memory: 10484 grad_norm: 0.1682 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8889 recall@top3: 0.9222 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 16:23:30 - mmengine - INFO - Epoch(train) [4][240/3842] lr: 7.1785e-02 eta: 4:00:17 time: 0.5159 data_time: 0.0174 memory: 10484 grad_norm: 0.1813 recall@thr=0.5: 0.7274 prec@thr=0.5: 0.8571 recall@top3: 0.9179 prec@top3: 0.8095 recall@top5: 0.9536 prec@top5: 0.5143 loss_action_cls: 0.0525 loss: 0.0525 2022/08/10 16:23:41 - mmengine - INFO - Epoch(train) [4][260/3842] lr: 7.1753e-02 eta: 4:00:06 time: 0.5243 data_time: 0.0172 memory: 10484 grad_norm: 0.1623 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7863 recall@top3: 0.8627 prec@top3: 0.6667 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0514 loss: 0.0514 2022/08/10 16:23:53 - mmengine - INFO - Epoch(train) [4][280/3842] lr: 7.1722e-02 eta: 3:59:58 time: 0.6060 data_time: 0.0214 memory: 10484 grad_norm: 0.1568 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.8246 recall@top3: 0.7105 prec@top3: 0.7018 recall@top5: 0.8202 prec@top5: 0.4842 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 16:24:03 - mmengine - INFO - Epoch(train) [4][300/3842] lr: 7.1691e-02 eta: 3:59:45 time: 0.5012 data_time: 0.0169 memory: 10484 grad_norm: 0.1612 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8512 recall@top3: 0.8214 prec@top3: 0.8095 recall@top5: 0.9792 prec@top5: 0.5929 loss_action_cls: 0.0545 loss: 0.0545 2022/08/10 16:24:14 - mmengine - INFO - Epoch(train) [4][320/3842] lr: 7.1659e-02 eta: 3:59:34 time: 0.5265 data_time: 0.0162 memory: 10484 grad_norm: 0.1710 recall@thr=0.5: 0.7628 prec@thr=0.5: 0.8718 recall@top3: 0.8397 prec@top3: 0.7179 recall@top5: 0.9231 prec@top5: 0.4769 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 16:24:24 - mmengine - INFO - Epoch(train) [4][340/3842] lr: 7.1628e-02 eta: 3:59:21 time: 0.4969 data_time: 0.0176 memory: 10484 grad_norm: 0.1626 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.9370 recall@top3: 0.7685 prec@top3: 0.7407 recall@top5: 0.9537 prec@top5: 0.5778 loss_action_cls: 0.0511 loss: 0.0511 2022/08/10 16:24:34 - mmengine - INFO - Epoch(train) [4][360/3842] lr: 7.1596e-02 eta: 3:59:10 time: 0.5366 data_time: 0.0144 memory: 10484 grad_norm: 0.1636 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.7778 recall@top3: 0.8542 prec@top3: 0.8056 recall@top5: 0.9167 prec@top5: 0.5333 loss_action_cls: 0.0539 loss: 0.0539 2022/08/10 16:24:45 - mmengine - INFO - Epoch(train) [4][380/3842] lr: 7.1564e-02 eta: 3:58:59 time: 0.5324 data_time: 0.0166 memory: 10484 grad_norm: 0.1641 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7024 recall@top3: 0.8016 prec@top3: 0.7460 recall@top5: 0.9127 prec@top5: 0.5238 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 16:24:55 - mmengine - INFO - Epoch(train) [4][400/3842] lr: 7.1532e-02 eta: 3:58:47 time: 0.5068 data_time: 0.0225 memory: 10484 grad_norm: 0.1680 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.7273 recall@top3: 0.6970 prec@top3: 0.5152 recall@top5: 0.8485 prec@top5: 0.3818 loss_action_cls: 0.0542 loss: 0.0542 2022/08/10 16:25:06 - mmengine - INFO - Epoch(train) [4][420/3842] lr: 7.1499e-02 eta: 3:58:35 time: 0.5239 data_time: 0.0165 memory: 10484 grad_norm: 0.1563 recall@thr=0.5: 0.7245 prec@thr=0.5: 0.8873 recall@top3: 0.8539 prec@top3: 0.7255 recall@top5: 0.9735 prec@top5: 0.5059 loss_action_cls: 0.0566 loss: 0.0566 2022/08/10 16:25:18 - mmengine - INFO - Epoch(train) [4][440/3842] lr: 7.1467e-02 eta: 3:58:29 time: 0.6477 data_time: 0.0317 memory: 10484 grad_norm: 0.1573 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6667 recall@top3: 0.7870 prec@top3: 0.4815 recall@top5: 0.9444 prec@top5: 0.3667 loss_action_cls: 0.0491 loss: 0.0491 2022/08/10 16:25:30 - mmengine - INFO - Epoch(train) [4][460/3842] lr: 7.1434e-02 eta: 3:58:19 time: 0.5677 data_time: 0.0198 memory: 10484 grad_norm: 0.1718 recall@thr=0.5: 0.6775 prec@thr=0.5: 0.7319 recall@top3: 0.7536 prec@top3: 0.6957 recall@top5: 0.9457 prec@top5: 0.5565 loss_action_cls: 0.0539 loss: 0.0539 2022/08/10 16:25:38 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 16:25:41 - mmengine - INFO - Epoch(train) [4][480/3842] lr: 7.1402e-02 eta: 3:58:09 time: 0.5496 data_time: 0.0171 memory: 10484 grad_norm: 0.1676 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9167 recall@top3: 0.9103 prec@top3: 0.8205 recall@top5: 0.9551 prec@top5: 0.5231 loss_action_cls: 0.0553 loss: 0.0553 2022/08/10 16:25:52 - mmengine - INFO - Epoch(train) [4][500/3842] lr: 7.1369e-02 eta: 3:57:59 time: 0.5663 data_time: 0.0173 memory: 10484 grad_norm: 0.1714 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.7750 recall@top3: 0.8333 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.4857 loss_action_cls: 0.0547 loss: 0.0547 2022/08/10 16:26:03 - mmengine - INFO - Epoch(train) [4][520/3842] lr: 7.1336e-02 eta: 3:57:48 time: 0.5366 data_time: 0.0197 memory: 10484 grad_norm: 0.1585 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.7917 recall@top3: 0.7875 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0496 loss: 0.0496 2022/08/10 16:26:13 - mmengine - INFO - Epoch(train) [4][540/3842] lr: 7.1303e-02 eta: 3:57:37 time: 0.5219 data_time: 0.0170 memory: 10484 grad_norm: 0.1784 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.6944 recall@top3: 0.8296 prec@top3: 0.6111 recall@top5: 0.9519 prec@top5: 0.4333 loss_action_cls: 0.0491 loss: 0.0491 2022/08/10 16:26:24 - mmengine - INFO - Epoch(train) [4][560/3842] lr: 7.1269e-02 eta: 3:57:25 time: 0.5195 data_time: 0.0163 memory: 10484 grad_norm: 0.1595 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8565 recall@top3: 0.7315 prec@top3: 0.7778 recall@top5: 0.9074 prec@top5: 0.5889 loss_action_cls: 0.0531 loss: 0.0531 2022/08/10 16:26:35 - mmengine - INFO - Epoch(train) [4][580/3842] lr: 7.1236e-02 eta: 3:57:14 time: 0.5493 data_time: 0.0191 memory: 10484 grad_norm: 0.1718 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7500 recall@top3: 0.9167 prec@top3: 0.5714 recall@top5: 0.9167 prec@top5: 0.3429 loss_action_cls: 0.0562 loss: 0.0562 2022/08/10 16:26:45 - mmengine - INFO - Epoch(train) [4][600/3842] lr: 7.1202e-02 eta: 3:57:03 time: 0.5211 data_time: 0.0149 memory: 10484 grad_norm: 0.1721 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.5000 recall@top3: 0.5714 prec@top3: 0.3810 recall@top5: 0.7738 prec@top5: 0.3143 loss_action_cls: 0.0526 loss: 0.0526 2022/08/10 16:26:56 - mmengine - INFO - Epoch(train) [4][620/3842] lr: 7.1169e-02 eta: 3:56:51 time: 0.5270 data_time: 0.0165 memory: 10484 grad_norm: 0.1621 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.7111 recall@top3: 0.6944 prec@top3: 0.6222 recall@top5: 0.7944 prec@top5: 0.4400 loss_action_cls: 0.0520 loss: 0.0520 2022/08/10 16:27:06 - mmengine - INFO - Epoch(train) [4][640/3842] lr: 7.1135e-02 eta: 3:56:39 time: 0.5002 data_time: 0.0185 memory: 10484 grad_norm: 0.1566 recall@thr=0.5: 0.4216 prec@thr=0.5: 0.6471 recall@top3: 0.7892 prec@top3: 0.5490 recall@top5: 0.9510 prec@top5: 0.4235 loss_action_cls: 0.0540 loss: 0.0540 2022/08/10 16:27:16 - mmengine - INFO - Epoch(train) [4][660/3842] lr: 7.1101e-02 eta: 3:56:27 time: 0.5216 data_time: 0.0155 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.7667 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.9444 prec@top5: 0.4400 loss_action_cls: 0.0546 loss: 0.0546 2022/08/10 16:27:27 - mmengine - INFO - Epoch(train) [4][680/3842] lr: 7.1067e-02 eta: 3:56:15 time: 0.5234 data_time: 0.0175 memory: 10484 grad_norm: 0.1688 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8333 recall@top3: 0.8810 prec@top3: 0.7857 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 16:27:37 - mmengine - INFO - Epoch(train) [4][700/3842] lr: 7.1033e-02 eta: 3:56:03 time: 0.4975 data_time: 0.0167 memory: 10484 grad_norm: 0.1589 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8939 recall@top3: 0.8182 prec@top3: 0.6970 recall@top5: 0.9091 prec@top5: 0.4727 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 16:27:47 - mmengine - INFO - Epoch(train) [4][720/3842] lr: 7.0998e-02 eta: 3:55:52 time: 0.5455 data_time: 0.0164 memory: 10484 grad_norm: 0.1627 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8947 recall@top3: 0.8474 prec@top3: 0.7193 recall@top5: 0.9895 prec@top5: 0.4842 loss_action_cls: 0.0541 loss: 0.0541 2022/08/10 16:27:58 - mmengine - INFO - Epoch(train) [4][740/3842] lr: 7.0964e-02 eta: 3:55:42 time: 0.5461 data_time: 0.0164 memory: 10484 grad_norm: 0.1584 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.7143 recall@top3: 0.7857 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 16:28:08 - mmengine - INFO - Epoch(train) [4][760/3842] lr: 7.0929e-02 eta: 3:55:29 time: 0.4978 data_time: 0.0165 memory: 10484 grad_norm: 0.1647 recall@thr=0.5: 0.6302 prec@thr=0.5: 0.5937 recall@top3: 0.6979 prec@top3: 0.5000 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0525 loss: 0.0525 2022/08/10 16:28:19 - mmengine - INFO - Epoch(train) [4][780/3842] lr: 7.0894e-02 eta: 3:55:17 time: 0.5214 data_time: 0.0155 memory: 10484 grad_norm: 0.1690 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9524 recall@top3: 0.9167 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0525 loss: 0.0525 2022/08/10 16:28:29 - mmengine - INFO - Epoch(train) [4][800/3842] lr: 7.0859e-02 eta: 3:55:06 time: 0.5244 data_time: 0.0178 memory: 10484 grad_norm: 0.1625 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.7500 recall@top3: 0.7176 prec@top3: 0.6481 recall@top5: 0.8889 prec@top5: 0.4778 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 16:28:39 - mmengine - INFO - Epoch(train) [4][820/3842] lr: 7.0824e-02 eta: 3:54:53 time: 0.5017 data_time: 0.0195 memory: 10484 grad_norm: 0.1510 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7719 recall@top3: 0.8509 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4632 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 16:28:50 - mmengine - INFO - Epoch(train) [4][840/3842] lr: 7.0789e-02 eta: 3:54:42 time: 0.5244 data_time: 0.0166 memory: 10484 grad_norm: 0.1674 recall@thr=0.5: 0.6179 prec@thr=0.5: 0.8571 recall@top3: 0.6940 prec@top3: 0.6667 recall@top5: 0.8524 prec@top5: 0.5286 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 16:29:02 - mmengine - INFO - Epoch(train) [4][860/3842] lr: 7.0754e-02 eta: 3:54:35 time: 0.6339 data_time: 0.0184 memory: 10484 grad_norm: 0.1588 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.8750 recall@top3: 0.8019 prec@top3: 0.6667 recall@top5: 0.9241 prec@top5: 0.4778 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 16:29:13 - mmengine - INFO - Epoch(train) [4][880/3842] lr: 7.0718e-02 eta: 3:54:23 time: 0.5226 data_time: 0.0171 memory: 10484 grad_norm: 0.1600 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7692 recall@top3: 0.7564 prec@top3: 0.7179 recall@top5: 0.8974 prec@top5: 0.4923 loss_action_cls: 0.0542 loss: 0.0542 2022/08/10 16:29:23 - mmengine - INFO - Epoch(train) [4][900/3842] lr: 7.0683e-02 eta: 3:54:12 time: 0.5240 data_time: 0.0171 memory: 10484 grad_norm: 0.1607 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7262 recall@top3: 0.7500 prec@top3: 0.4048 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 16:29:33 - mmengine - INFO - Epoch(train) [4][920/3842] lr: 7.0647e-02 eta: 3:53:59 time: 0.4987 data_time: 0.0168 memory: 10484 grad_norm: 0.1663 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7333 recall@top3: 0.8333 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.5333 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 16:29:44 - mmengine - INFO - Epoch(train) [4][940/3842] lr: 7.0611e-02 eta: 3:53:49 time: 0.5464 data_time: 0.0143 memory: 10484 grad_norm: 0.1572 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8235 recall@top3: 0.8137 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4824 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 16:29:55 - mmengine - INFO - Epoch(train) [4][960/3842] lr: 7.0575e-02 eta: 3:53:37 time: 0.5115 data_time: 0.0223 memory: 10484 grad_norm: 0.1668 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8636 recall@top3: 0.8727 prec@top3: 0.7273 recall@top5: 0.9364 prec@top5: 0.4909 loss_action_cls: 0.0563 loss: 0.0563 2022/08/10 16:30:07 - mmengine - INFO - Epoch(train) [4][980/3842] lr: 7.0539e-02 eta: 3:53:29 time: 0.6071 data_time: 0.0185 memory: 10484 grad_norm: 0.1628 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.8947 recall@top3: 0.7693 prec@top3: 0.8246 recall@top5: 0.9614 prec@top5: 0.6316 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 16:30:17 - mmengine - INFO - Epoch(train) [4][1000/3842] lr: 7.0502e-02 eta: 3:53:18 time: 0.5399 data_time: 0.0164 memory: 10484 grad_norm: 0.1617 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.7817 recall@top3: 0.7000 prec@top3: 0.7833 recall@top5: 0.8383 prec@top5: 0.5800 loss_action_cls: 0.0507 loss: 0.0507 2022/08/10 16:30:27 - mmengine - INFO - Epoch(train) [4][1020/3842] lr: 7.0466e-02 eta: 3:53:05 time: 0.4997 data_time: 0.0163 memory: 10484 grad_norm: 0.1777 recall@thr=0.5: 0.6769 prec@thr=0.5: 0.7821 recall@top3: 0.7538 prec@top3: 0.6154 recall@top5: 0.9077 prec@top5: 0.4462 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 16:30:38 - mmengine - INFO - Epoch(train) [4][1040/3842] lr: 7.0429e-02 eta: 3:52:54 time: 0.5284 data_time: 0.0167 memory: 10484 grad_norm: 0.1636 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8981 recall@top3: 0.8333 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 16:30:49 - mmengine - INFO - Epoch(train) [4][1060/3842] lr: 7.0392e-02 eta: 3:52:43 time: 0.5244 data_time: 0.0169 memory: 10484 grad_norm: 0.1629 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.9123 recall@top3: 0.7851 prec@top3: 0.7193 recall@top5: 0.9474 prec@top5: 0.5368 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 16:30:59 - mmengine - INFO - Epoch(train) [4][1080/3842] lr: 7.0356e-02 eta: 3:52:30 time: 0.4994 data_time: 0.0175 memory: 10484 grad_norm: 0.1652 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.6923 recall@top3: 0.6795 prec@top3: 0.5128 recall@top5: 0.9231 prec@top5: 0.4000 loss_action_cls: 0.0512 loss: 0.0512 2022/08/10 16:31:09 - mmengine - INFO - Epoch(train) [4][1100/3842] lr: 7.0318e-02 eta: 3:52:18 time: 0.5197 data_time: 0.0167 memory: 10484 grad_norm: 0.1670 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7604 recall@top3: 0.7917 prec@top3: 0.5625 recall@top5: 0.9167 prec@top5: 0.4125 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 16:31:19 - mmengine - INFO - Epoch(train) [4][1120/3842] lr: 7.0281e-02 eta: 3:52:06 time: 0.5001 data_time: 0.0164 memory: 10484 grad_norm: 0.1584 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.7273 recall@top3: 0.7121 prec@top3: 0.5455 recall@top5: 0.9318 prec@top5: 0.4182 loss_action_cls: 0.0496 loss: 0.0496 2022/08/10 16:31:29 - mmengine - INFO - Epoch(train) [4][1140/3842] lr: 7.0244e-02 eta: 3:51:54 time: 0.5194 data_time: 0.0134 memory: 10484 grad_norm: 0.1528 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7963 recall@top3: 0.8056 prec@top3: 0.5926 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0533 loss: 0.0533 2022/08/10 16:31:40 - mmengine - INFO - Epoch(train) [4][1160/3842] lr: 7.0207e-02 eta: 3:51:43 time: 0.5249 data_time: 0.0162 memory: 10484 grad_norm: 0.1592 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8889 recall@top3: 0.8519 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.4222 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 16:31:50 - mmengine - INFO - Epoch(train) [4][1180/3842] lr: 7.0169e-02 eta: 3:51:32 time: 0.5334 data_time: 0.0268 memory: 10484 grad_norm: 0.1505 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8802 recall@top3: 0.7292 prec@top3: 0.6042 recall@top5: 0.9323 prec@top5: 0.4750 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 16:32:01 - mmengine - INFO - Epoch(train) [4][1200/3842] lr: 7.0131e-02 eta: 3:51:19 time: 0.5026 data_time: 0.0170 memory: 10484 grad_norm: 0.1657 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7143 recall@top3: 0.8929 prec@top3: 0.5952 recall@top5: 0.9286 prec@top5: 0.3714 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 16:32:11 - mmengine - INFO - Epoch(train) [4][1220/3842] lr: 7.0093e-02 eta: 3:51:09 time: 0.5467 data_time: 0.0178 memory: 10484 grad_norm: 0.1590 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8194 recall@top3: 0.8542 prec@top3: 0.7917 recall@top5: 0.9167 prec@top5: 0.5167 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 16:32:22 - mmengine - INFO - Epoch(train) [4][1240/3842] lr: 7.0056e-02 eta: 3:50:57 time: 0.5100 data_time: 0.0246 memory: 10484 grad_norm: 0.1683 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.6667 recall@top3: 0.7143 prec@top3: 0.6508 recall@top5: 0.8254 prec@top5: 0.4667 loss_action_cls: 0.0586 loss: 0.0586 2022/08/10 16:32:34 - mmengine - INFO - Epoch(train) [4][1260/3842] lr: 7.0017e-02 eta: 3:50:49 time: 0.6203 data_time: 0.0420 memory: 10484 grad_norm: 0.1630 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7500 recall@top3: 0.9444 prec@top3: 0.6389 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0547 loss: 0.0547 2022/08/10 16:32:45 - mmengine - INFO - Epoch(train) [4][1280/3842] lr: 6.9979e-02 eta: 3:50:39 time: 0.5499 data_time: 0.0167 memory: 10484 grad_norm: 0.1595 recall@thr=0.5: 0.4318 prec@thr=0.5: 0.4773 recall@top3: 0.7424 prec@top3: 0.6212 recall@top5: 0.9697 prec@top5: 0.4909 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 16:32:56 - mmengine - INFO - Epoch(train) [4][1300/3842] lr: 6.9941e-02 eta: 3:50:28 time: 0.5304 data_time: 0.0165 memory: 10484 grad_norm: 0.1668 recall@thr=0.5: 0.7552 prec@thr=0.5: 0.7656 recall@top3: 0.7917 prec@top3: 0.7708 recall@top5: 0.8802 prec@top5: 0.5250 loss_action_cls: 0.0497 loss: 0.0497 2022/08/10 16:33:07 - mmengine - INFO - Epoch(train) [4][1320/3842] lr: 6.9902e-02 eta: 3:50:18 time: 0.5773 data_time: 0.0234 memory: 10484 grad_norm: 0.1569 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6583 recall@top3: 0.7458 prec@top3: 0.6500 recall@top5: 0.9167 prec@top5: 0.4900 loss_action_cls: 0.0562 loss: 0.0562 2022/08/10 16:33:17 - mmengine - INFO - Epoch(train) [4][1340/3842] lr: 6.9864e-02 eta: 3:50:06 time: 0.5018 data_time: 0.0155 memory: 10484 grad_norm: 0.1670 recall@thr=0.5: 0.7817 prec@thr=0.5: 0.7500 recall@top3: 0.7983 prec@top3: 0.6667 recall@top5: 0.9200 prec@top5: 0.4700 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 16:33:27 - mmengine - INFO - Epoch(train) [4][1360/3842] lr: 6.9825e-02 eta: 3:49:54 time: 0.5060 data_time: 0.0174 memory: 10484 grad_norm: 0.1591 recall@thr=0.5: 0.6756 prec@thr=0.5: 0.7500 recall@top3: 0.7798 prec@top3: 0.6905 recall@top5: 0.8810 prec@top5: 0.4786 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 16:33:38 - mmengine - INFO - Epoch(train) [4][1380/3842] lr: 6.9786e-02 eta: 3:49:42 time: 0.5260 data_time: 0.0171 memory: 10484 grad_norm: 0.1652 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8974 recall@top3: 0.8693 prec@top3: 0.8070 recall@top5: 0.9140 prec@top5: 0.5263 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:33:50 - mmengine - INFO - Epoch(train) [4][1400/3842] lr: 6.9747e-02 eta: 3:49:34 time: 0.6008 data_time: 0.0180 memory: 10484 grad_norm: 0.1563 recall@thr=0.5: 0.6326 prec@thr=0.5: 0.6818 recall@top3: 0.7008 prec@top3: 0.6515 recall@top5: 0.9091 prec@top5: 0.5091 loss_action_cls: 0.0498 loss: 0.0498 2022/08/10 16:34:00 - mmengine - INFO - Epoch(train) [4][1420/3842] lr: 6.9708e-02 eta: 3:49:22 time: 0.5021 data_time: 0.0185 memory: 10484 grad_norm: 0.1588 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.9167 recall@top3: 0.8690 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 16:34:10 - mmengine - INFO - Epoch(train) [4][1440/3842] lr: 6.9668e-02 eta: 3:49:10 time: 0.5196 data_time: 0.0159 memory: 10484 grad_norm: 0.1650 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.5556 recall@top3: 0.5952 prec@top3: 0.5714 recall@top5: 0.7619 prec@top5: 0.4476 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 16:34:20 - mmengine - INFO - Epoch(train) [4][1460/3842] lr: 6.9629e-02 eta: 3:48:58 time: 0.5021 data_time: 0.0182 memory: 10484 grad_norm: 0.1605 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7456 recall@top3: 0.8596 prec@top3: 0.8070 recall@top5: 0.9868 prec@top5: 0.5474 loss_action_cls: 0.0490 loss: 0.0490 2022/08/10 16:34:27 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 16:34:31 - mmengine - INFO - Epoch(train) [4][1480/3842] lr: 6.9589e-02 eta: 3:48:46 time: 0.5207 data_time: 0.0167 memory: 10484 grad_norm: 0.1696 recall@thr=0.5: 0.7644 prec@thr=0.5: 0.8889 recall@top3: 0.8889 prec@top3: 0.7333 recall@top5: 0.9733 prec@top5: 0.5067 loss_action_cls: 0.0490 loss: 0.0490 2022/08/10 16:34:41 - mmengine - INFO - Epoch(train) [4][1500/3842] lr: 6.9549e-02 eta: 3:48:35 time: 0.5228 data_time: 0.0178 memory: 10484 grad_norm: 0.1623 recall@thr=0.5: 0.5681 prec@thr=0.5: 0.7971 recall@top3: 0.6754 prec@top3: 0.6087 recall@top5: 0.9029 prec@top5: 0.4609 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 16:34:51 - mmengine - INFO - Epoch(train) [4][1520/3842] lr: 6.9510e-02 eta: 3:48:22 time: 0.5013 data_time: 0.0178 memory: 10484 grad_norm: 0.1576 recall@thr=0.5: 0.8510 prec@thr=0.5: 0.9147 recall@top3: 0.8098 prec@top3: 0.7451 recall@top5: 0.9539 prec@top5: 0.5647 loss_action_cls: 0.0548 loss: 0.0548 2022/08/10 16:35:01 - mmengine - INFO - Epoch(train) [4][1540/3842] lr: 6.9470e-02 eta: 3:48:10 time: 0.5062 data_time: 0.0163 memory: 10484 grad_norm: 0.1637 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8137 recall@top3: 0.7745 prec@top3: 0.5882 recall@top5: 0.8431 prec@top5: 0.3882 loss_action_cls: 0.0518 loss: 0.0518 2022/08/10 16:35:12 - mmengine - INFO - Epoch(train) [4][1560/3842] lr: 6.9429e-02 eta: 3:47:59 time: 0.5342 data_time: 0.0199 memory: 10484 grad_norm: 0.1675 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.8472 recall@top3: 0.7639 prec@top3: 0.7500 recall@top5: 0.8889 prec@top5: 0.5333 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 16:35:25 - mmengine - INFO - Epoch(train) [4][1580/3842] lr: 6.9389e-02 eta: 3:47:52 time: 0.6239 data_time: 0.0161 memory: 10484 grad_norm: 0.1675 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7167 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.8944 prec@top5: 0.4200 loss_action_cls: 0.0522 loss: 0.0522 2022/08/10 16:35:35 - mmengine - INFO - Epoch(train) [4][1600/3842] lr: 6.9349e-02 eta: 3:47:41 time: 0.5284 data_time: 0.0178 memory: 10484 grad_norm: 0.1593 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7176 recall@top3: 0.7824 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.5000 loss_action_cls: 0.0530 loss: 0.0530 2022/08/10 16:35:46 - mmengine - INFO - Epoch(train) [4][1620/3842] lr: 6.9308e-02 eta: 3:47:30 time: 0.5512 data_time: 0.0165 memory: 10484 grad_norm: 0.1580 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.7941 recall@top3: 0.8284 prec@top3: 0.6275 recall@top5: 0.9461 prec@top5: 0.4471 loss_action_cls: 0.0509 loss: 0.0509 2022/08/10 16:35:56 - mmengine - INFO - Epoch(train) [4][1640/3842] lr: 6.9268e-02 eta: 3:47:18 time: 0.5007 data_time: 0.0172 memory: 10484 grad_norm: 0.1593 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8922 recall@top3: 0.9314 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 16:36:07 - mmengine - INFO - Epoch(train) [4][1660/3842] lr: 6.9227e-02 eta: 3:47:07 time: 0.5316 data_time: 0.0142 memory: 10484 grad_norm: 0.1655 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.9123 recall@top3: 0.8816 prec@top3: 0.5789 recall@top5: 1.0000 prec@top5: 0.4105 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 16:36:17 - mmengine - INFO - Epoch(train) [4][1680/3842] lr: 6.9186e-02 eta: 3:46:55 time: 0.5049 data_time: 0.0175 memory: 10484 grad_norm: 0.1638 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8684 recall@top3: 0.7982 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 16:36:27 - mmengine - INFO - Epoch(train) [4][1700/3842] lr: 6.9145e-02 eta: 3:46:42 time: 0.5002 data_time: 0.0166 memory: 10484 grad_norm: 0.1640 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.8000 recall@top3: 0.7000 prec@top3: 0.6444 recall@top5: 0.8167 prec@top5: 0.4533 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 16:36:38 - mmengine - INFO - Epoch(train) [4][1720/3842] lr: 6.9104e-02 eta: 3:46:32 time: 0.5410 data_time: 0.0141 memory: 10484 grad_norm: 0.1695 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.8935 recall@top3: 0.6944 prec@top3: 0.6111 recall@top5: 0.9722 prec@top5: 0.5667 loss_action_cls: 0.0524 loss: 0.0524 2022/08/10 16:36:48 - mmengine - INFO - Epoch(train) [4][1740/3842] lr: 6.9062e-02 eta: 3:46:19 time: 0.4982 data_time: 0.0163 memory: 10484 grad_norm: 0.1589 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.5606 recall@top3: 0.9242 prec@top3: 0.5152 recall@top5: 1.0000 prec@top5: 0.3455 loss_action_cls: 0.0484 loss: 0.0484 2022/08/10 16:36:58 - mmengine - INFO - Epoch(train) [4][1760/3842] lr: 6.9021e-02 eta: 3:46:08 time: 0.5209 data_time: 0.0252 memory: 10484 grad_norm: 0.1615 recall@thr=0.5: 0.6839 prec@thr=0.5: 0.8011 recall@top3: 0.7618 prec@top3: 0.7312 recall@top5: 0.9086 prec@top5: 0.5548 loss_action_cls: 0.0491 loss: 0.0491 2022/08/10 16:37:09 - mmengine - INFO - Epoch(train) [4][1780/3842] lr: 6.8979e-02 eta: 3:45:56 time: 0.5263 data_time: 0.0183 memory: 10484 grad_norm: 0.1638 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8667 recall@top3: 0.8444 prec@top3: 0.6222 recall@top5: 0.9556 prec@top5: 0.4133 loss_action_cls: 0.0504 loss: 0.0504 2022/08/10 16:37:20 - mmengine - INFO - Epoch(train) [4][1800/3842] lr: 6.8937e-02 eta: 3:45:47 time: 0.5756 data_time: 0.0242 memory: 10484 grad_norm: 0.1684 recall@thr=0.5: 0.6955 prec@thr=0.5: 0.8106 recall@top3: 0.7561 prec@top3: 0.7273 recall@top5: 0.8742 prec@top5: 0.5091 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 16:37:30 - mmengine - INFO - Epoch(train) [4][1820/3842] lr: 6.8896e-02 eta: 3:45:35 time: 0.5109 data_time: 0.0160 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8922 recall@top3: 0.8235 prec@top3: 0.7647 recall@top5: 0.9412 prec@top5: 0.5412 loss_action_cls: 0.0517 loss: 0.0517 2022/08/10 16:37:41 - mmengine - INFO - Epoch(train) [4][1840/3842] lr: 6.8854e-02 eta: 3:45:24 time: 0.5247 data_time: 0.0160 memory: 10484 grad_norm: 0.1579 recall@thr=0.5: 0.8091 prec@thr=0.5: 0.8712 recall@top3: 0.8242 prec@top3: 0.6061 recall@top5: 0.9197 prec@top5: 0.4273 loss_action_cls: 0.0545 loss: 0.0545 2022/08/10 16:37:52 - mmengine - INFO - Epoch(train) [4][1860/3842] lr: 6.8812e-02 eta: 3:45:13 time: 0.5342 data_time: 0.0168 memory: 10484 grad_norm: 0.1621 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.9038 recall@top3: 0.9359 prec@top3: 0.7051 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 16:38:02 - mmengine - INFO - Epoch(train) [4][1880/3842] lr: 6.8769e-02 eta: 3:45:00 time: 0.5007 data_time: 0.0161 memory: 10484 grad_norm: 0.1553 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.9286 recall@top3: 0.9167 prec@top3: 0.8333 recall@top5: 0.9762 prec@top5: 0.5429 loss_action_cls: 0.0550 loss: 0.0550 2022/08/10 16:38:13 - mmengine - INFO - Epoch(train) [4][1900/3842] lr: 6.8727e-02 eta: 3:44:50 time: 0.5500 data_time: 0.0175 memory: 10484 grad_norm: 0.1677 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.7727 recall@top3: 0.8561 prec@top3: 0.6818 recall@top5: 0.9848 prec@top5: 0.4818 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 16:38:23 - mmengine - INFO - Epoch(train) [4][1920/3842] lr: 6.8684e-02 eta: 3:44:38 time: 0.5109 data_time: 0.0163 memory: 10484 grad_norm: 0.1639 recall@thr=0.5: 0.8601 prec@thr=0.5: 0.8393 recall@top3: 0.8780 prec@top3: 0.7738 recall@top5: 0.9702 prec@top5: 0.5214 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 16:38:33 - mmengine - INFO - Epoch(train) [4][1940/3842] lr: 6.8642e-02 eta: 3:44:27 time: 0.5239 data_time: 0.0178 memory: 10484 grad_norm: 0.1588 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7969 recall@top3: 0.8854 prec@top3: 0.6667 recall@top5: 0.9062 prec@top5: 0.4125 loss_action_cls: 0.0475 loss: 0.0475 2022/08/10 16:38:43 - mmengine - INFO - Epoch(train) [4][1960/3842] lr: 6.8599e-02 eta: 3:44:15 time: 0.5038 data_time: 0.0166 memory: 10484 grad_norm: 0.1615 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.7667 recall@top3: 0.6333 prec@top3: 0.5111 recall@top5: 0.6556 prec@top5: 0.3200 loss_action_cls: 0.0476 loss: 0.0476 2022/08/10 16:38:54 - mmengine - INFO - Epoch(train) [4][1980/3842] lr: 6.8556e-02 eta: 3:44:03 time: 0.5265 data_time: 0.0184 memory: 10484 grad_norm: 0.1662 recall@thr=0.5: 0.5245 prec@thr=0.5: 0.6275 recall@top3: 0.6588 prec@top3: 0.5490 recall@top5: 0.7598 prec@top5: 0.4118 loss_action_cls: 0.0509 loss: 0.0509 2022/08/10 16:39:04 - mmengine - INFO - Epoch(train) [4][2000/3842] lr: 6.8513e-02 eta: 3:43:51 time: 0.4987 data_time: 0.0174 memory: 10484 grad_norm: 0.1590 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8750 recall@top3: 0.8292 prec@top3: 0.7167 recall@top5: 0.9833 prec@top5: 0.5200 loss_action_cls: 0.0524 loss: 0.0524 2022/08/10 16:39:14 - mmengine - INFO - Epoch(train) [4][2020/3842] lr: 6.8470e-02 eta: 3:43:40 time: 0.5258 data_time: 0.0164 memory: 10484 grad_norm: 0.1613 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7037 recall@top3: 0.7963 prec@top3: 0.4444 recall@top5: 1.0000 prec@top5: 0.3556 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 16:39:25 - mmengine - INFO - Epoch(train) [4][2040/3842] lr: 6.8427e-02 eta: 3:43:29 time: 0.5289 data_time: 0.0173 memory: 10484 grad_norm: 0.1631 recall@thr=0.5: 0.6719 prec@thr=0.5: 0.7396 recall@top3: 0.7292 prec@top3: 0.6667 recall@top5: 0.7969 prec@top5: 0.4375 loss_action_cls: 0.0450 loss: 0.0450 2022/08/10 16:39:39 - mmengine - INFO - Epoch(train) [4][2060/3842] lr: 6.8383e-02 eta: 3:43:24 time: 0.7213 data_time: 0.0178 memory: 10484 grad_norm: 0.1606 recall@thr=0.5: 0.6214 prec@thr=0.5: 0.7976 recall@top3: 0.7524 prec@top3: 0.7381 recall@top5: 0.9167 prec@top5: 0.5714 loss_action_cls: 0.0446 loss: 0.0446 2022/08/10 16:39:50 - mmengine - INFO - Epoch(train) [4][2080/3842] lr: 6.8340e-02 eta: 3:43:13 time: 0.5246 data_time: 0.0175 memory: 10484 grad_norm: 0.1575 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7917 recall@top3: 0.8611 prec@top3: 0.7222 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 16:40:00 - mmengine - INFO - Epoch(train) [4][2100/3842] lr: 6.8296e-02 eta: 3:43:01 time: 0.4993 data_time: 0.0165 memory: 10484 grad_norm: 0.1533 recall@thr=0.5: 0.6902 prec@thr=0.5: 0.8485 recall@top3: 0.7288 prec@top3: 0.8182 recall@top5: 0.8598 prec@top5: 0.6000 loss_action_cls: 0.0499 loss: 0.0499 2022/08/10 16:40:11 - mmengine - INFO - Epoch(train) [4][2120/3842] lr: 6.8252e-02 eta: 3:42:50 time: 0.5424 data_time: 0.0157 memory: 10484 grad_norm: 0.1671 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8905 recall@top3: 0.8274 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.4714 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 16:40:21 - mmengine - INFO - Epoch(train) [4][2140/3842] lr: 6.8208e-02 eta: 3:42:39 time: 0.5281 data_time: 0.0174 memory: 10484 grad_norm: 0.1731 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7105 recall@top3: 0.7675 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4842 loss_action_cls: 0.0531 loss: 0.0531 2022/08/10 16:40:31 - mmengine - INFO - Epoch(train) [4][2160/3842] lr: 6.8164e-02 eta: 3:42:27 time: 0.5014 data_time: 0.0176 memory: 10484 grad_norm: 0.1605 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.7692 recall@top3: 0.8333 prec@top3: 0.7692 recall@top5: 0.9487 prec@top5: 0.5385 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 16:40:42 - mmengine - INFO - Epoch(train) [4][2180/3842] lr: 6.8120e-02 eta: 3:42:15 time: 0.5273 data_time: 0.0147 memory: 10484 grad_norm: 0.1571 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8636 recall@top3: 0.8030 prec@top3: 0.6061 recall@top5: 0.8636 prec@top5: 0.4000 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 16:40:52 - mmengine - INFO - Epoch(train) [4][2200/3842] lr: 6.8076e-02 eta: 3:42:03 time: 0.5036 data_time: 0.0175 memory: 10484 grad_norm: 0.1612 recall@thr=0.5: 0.7990 prec@thr=0.5: 0.7647 recall@top3: 0.8186 prec@top3: 0.7059 recall@top5: 0.9853 prec@top5: 0.5412 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 16:41:03 - mmengine - INFO - Epoch(train) [4][2220/3842] lr: 6.8031e-02 eta: 3:41:52 time: 0.5340 data_time: 0.0177 memory: 10484 grad_norm: 0.1674 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7361 recall@top3: 0.7361 prec@top3: 0.7500 recall@top5: 0.8889 prec@top5: 0.5500 loss_action_cls: 0.0502 loss: 0.0502 2022/08/10 16:41:15 - mmengine - INFO - Epoch(train) [4][2240/3842] lr: 6.7987e-02 eta: 3:41:45 time: 0.6303 data_time: 0.0196 memory: 10484 grad_norm: 0.1612 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.9333 recall@top3: 0.9778 prec@top3: 0.8222 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 16:41:25 - mmengine - INFO - Epoch(train) [4][2260/3842] lr: 6.7942e-02 eta: 3:41:33 time: 0.5036 data_time: 0.0174 memory: 10484 grad_norm: 0.1627 recall@thr=0.5: 0.8733 prec@thr=0.5: 0.9067 recall@top3: 0.8467 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5467 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 16:41:36 - mmengine - INFO - Epoch(train) [4][2280/3842] lr: 6.7897e-02 eta: 3:41:21 time: 0.5220 data_time: 0.0182 memory: 10484 grad_norm: 0.1656 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8667 recall@top3: 1.0000 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0528 loss: 0.0528 2022/08/10 16:41:46 - mmengine - INFO - Epoch(train) [4][2300/3842] lr: 6.7852e-02 eta: 3:41:09 time: 0.5081 data_time: 0.0168 memory: 10484 grad_norm: 0.1675 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.5794 recall@top3: 0.7222 prec@top3: 0.6032 recall@top5: 0.7698 prec@top5: 0.3905 loss_action_cls: 0.0486 loss: 0.0486 2022/08/10 16:41:56 - mmengine - INFO - Epoch(train) [4][2320/3842] lr: 6.7807e-02 eta: 3:40:58 time: 0.5314 data_time: 0.0185 memory: 10484 grad_norm: 0.1685 recall@thr=0.5: 0.7725 prec@thr=0.5: 0.8700 recall@top3: 0.7500 prec@top3: 0.7833 recall@top5: 0.8933 prec@top5: 0.5900 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 16:42:12 - mmengine - INFO - Epoch(train) [4][2340/3842] lr: 6.7762e-02 eta: 3:40:56 time: 0.7767 data_time: 0.0172 memory: 10484 grad_norm: 0.1602 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.9167 recall@top3: 0.8167 prec@top3: 0.6833 recall@top5: 0.9750 prec@top5: 0.5100 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 16:42:22 - mmengine - INFO - Epoch(train) [4][2360/3842] lr: 6.7716e-02 eta: 3:40:44 time: 0.5091 data_time: 0.0189 memory: 10484 grad_norm: 0.1587 recall@thr=0.5: 0.5846 prec@thr=0.5: 0.6923 recall@top3: 0.7846 prec@top3: 0.6410 recall@top5: 0.8462 prec@top5: 0.4462 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 16:42:33 - mmengine - INFO - Epoch(train) [4][2380/3842] lr: 6.7671e-02 eta: 3:40:33 time: 0.5226 data_time: 0.0174 memory: 10484 grad_norm: 0.1755 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.5152 recall@top3: 0.6667 prec@top3: 0.4545 recall@top5: 0.7879 prec@top5: 0.3273 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 16:42:43 - mmengine - INFO - Epoch(train) [4][2400/3842] lr: 6.7625e-02 eta: 3:40:20 time: 0.4996 data_time: 0.0170 memory: 10484 grad_norm: 0.1682 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7083 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.9028 prec@top5: 0.4333 loss_action_cls: 0.0479 loss: 0.0479 2022/08/10 16:42:53 - mmengine - INFO - Epoch(train) [4][2420/3842] lr: 6.7580e-02 eta: 3:40:09 time: 0.5354 data_time: 0.0149 memory: 10484 grad_norm: 0.1586 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7549 recall@top3: 0.7745 prec@top3: 0.7059 recall@top5: 0.9314 prec@top5: 0.5176 loss_action_cls: 0.0484 loss: 0.0484 2022/08/10 16:43:06 - mmengine - INFO - Epoch(train) [4][2440/3842] lr: 6.7534e-02 eta: 3:40:01 time: 0.6126 data_time: 0.0243 memory: 10484 grad_norm: 0.1686 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.6667 recall@top3: 0.7056 prec@top3: 0.4444 recall@top5: 0.9167 prec@top5: 0.3467 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 16:43:16 - mmengine - INFO - Epoch(train) [4][2460/3842] lr: 6.7488e-02 eta: 3:39:49 time: 0.5078 data_time: 0.0162 memory: 10484 grad_norm: 0.1616 recall@thr=0.5: 0.5189 prec@thr=0.5: 0.7803 recall@top3: 0.6288 prec@top3: 0.6212 recall@top5: 0.8333 prec@top5: 0.5091 loss_action_cls: 0.0504 loss: 0.0504 2022/08/10 16:43:26 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 16:43:30 - mmengine - INFO - Epoch(train) [4][2480/3842] lr: 6.7442e-02 eta: 3:39:45 time: 0.7159 data_time: 0.0211 memory: 10484 grad_norm: 0.1571 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.7692 recall@top3: 0.8782 prec@top3: 0.7179 recall@top5: 0.9231 prec@top5: 0.4615 loss_action_cls: 0.0476 loss: 0.0476 2022/08/10 16:43:41 - mmengine - INFO - Epoch(train) [4][2500/3842] lr: 6.7396e-02 eta: 3:39:35 time: 0.5685 data_time: 0.0188 memory: 10484 grad_norm: 0.1634 recall@thr=0.5: 0.9231 prec@thr=0.5: 0.8077 recall@top3: 0.9231 prec@top3: 0.6154 recall@top5: 0.9744 prec@top5: 0.4000 loss_action_cls: 0.0533 loss: 0.0533 2022/08/10 16:43:52 - mmengine - INFO - Epoch(train) [4][2520/3842] lr: 6.7349e-02 eta: 3:39:23 time: 0.5024 data_time: 0.0183 memory: 10484 grad_norm: 0.1585 recall@thr=0.5: 0.6608 prec@thr=0.5: 0.8250 recall@top3: 0.7725 prec@top3: 0.7333 recall@top5: 0.8650 prec@top5: 0.5100 loss_action_cls: 0.0529 loss: 0.0529 2022/08/10 16:44:02 - mmengine - INFO - Epoch(train) [4][2540/3842] lr: 6.7303e-02 eta: 3:39:12 time: 0.5353 data_time: 0.0152 memory: 10484 grad_norm: 0.1646 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.5694 recall@top3: 0.6458 prec@top3: 0.4583 recall@top5: 0.8924 prec@top5: 0.3750 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 16:44:13 - mmengine - INFO - Epoch(train) [4][2560/3842] lr: 6.7256e-02 eta: 3:39:01 time: 0.5361 data_time: 0.0171 memory: 10484 grad_norm: 0.1599 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.6905 recall@top3: 0.8274 prec@top3: 0.6667 recall@top5: 0.8929 prec@top5: 0.4429 loss_action_cls: 0.0507 loss: 0.0507 2022/08/10 16:44:23 - mmengine - INFO - Epoch(train) [4][2580/3842] lr: 6.7209e-02 eta: 3:38:49 time: 0.4992 data_time: 0.0170 memory: 10484 grad_norm: 0.1595 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8333 recall@top3: 0.8596 prec@top3: 0.7544 recall@top5: 0.9474 prec@top5: 0.4947 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 16:44:33 - mmengine - INFO - Epoch(train) [4][2600/3842] lr: 6.7163e-02 eta: 3:38:37 time: 0.5221 data_time: 0.0144 memory: 10484 grad_norm: 0.1599 recall@thr=0.5: 0.6578 prec@thr=0.5: 0.7222 recall@top3: 0.7467 prec@top3: 0.6222 recall@top5: 0.9289 prec@top5: 0.4400 loss_action_cls: 0.0486 loss: 0.0486 2022/08/10 16:44:44 - mmengine - INFO - Epoch(train) [4][2620/3842] lr: 6.7116e-02 eta: 3:38:26 time: 0.5292 data_time: 0.0162 memory: 10484 grad_norm: 0.1619 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7692 recall@top3: 0.7744 prec@top3: 0.6154 recall@top5: 0.8154 prec@top5: 0.4000 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 16:44:55 - mmengine - INFO - Epoch(train) [4][2640/3842] lr: 6.7069e-02 eta: 3:38:16 time: 0.5612 data_time: 0.0333 memory: 10484 grad_norm: 0.1641 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.6071 recall@top3: 0.7619 prec@top3: 0.6429 recall@top5: 0.9048 prec@top5: 0.4714 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 16:45:06 - mmengine - INFO - Epoch(train) [4][2660/3842] lr: 6.7021e-02 eta: 3:38:05 time: 0.5451 data_time: 0.0199 memory: 10484 grad_norm: 0.1609 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.6868 recall@top3: 0.7965 prec@top3: 0.7368 recall@top5: 0.9158 prec@top5: 0.5368 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 16:45:16 - mmengine - INFO - Epoch(train) [4][2680/3842] lr: 6.6974e-02 eta: 3:37:53 time: 0.5042 data_time: 0.0191 memory: 10484 grad_norm: 0.1654 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.8864 recall@top3: 0.8371 prec@top3: 0.7121 recall@top5: 0.8939 prec@top5: 0.4545 loss_action_cls: 0.0452 loss: 0.0452 2022/08/10 16:45:27 - mmengine - INFO - Epoch(train) [4][2700/3842] lr: 6.6927e-02 eta: 3:37:42 time: 0.5224 data_time: 0.0163 memory: 10484 grad_norm: 0.1568 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7368 recall@top3: 0.7193 prec@top3: 0.6491 recall@top5: 0.8596 prec@top5: 0.4526 loss_action_cls: 0.0498 loss: 0.0498 2022/08/10 16:45:37 - mmengine - INFO - Epoch(train) [4][2720/3842] lr: 6.6879e-02 eta: 3:37:30 time: 0.5121 data_time: 0.0156 memory: 10484 grad_norm: 0.1676 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.9021 recall@top3: 0.8333 prec@top3: 0.8750 recall@top5: 0.9292 prec@top5: 0.6000 loss_action_cls: 0.0491 loss: 0.0491 2022/08/10 16:45:48 - mmengine - INFO - Epoch(train) [4][2740/3842] lr: 6.6831e-02 eta: 3:37:19 time: 0.5397 data_time: 0.0166 memory: 10484 grad_norm: 0.1650 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8333 recall@top3: 0.8636 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.5455 loss_action_cls: 0.0484 loss: 0.0484 2022/08/10 16:46:04 - mmengine - INFO - Epoch(train) [4][2760/3842] lr: 6.6783e-02 eta: 3:37:17 time: 0.7959 data_time: 0.0161 memory: 10484 grad_norm: 0.1657 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.9167 recall@top3: 0.8722 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0488 loss: 0.0488 2022/08/10 16:46:14 - mmengine - INFO - Epoch(train) [4][2780/3842] lr: 6.6736e-02 eta: 3:37:06 time: 0.5359 data_time: 0.0221 memory: 10484 grad_norm: 0.1584 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.8158 recall@top3: 0.6842 prec@top3: 0.6140 recall@top5: 0.9649 prec@top5: 0.5474 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 16:46:25 - mmengine - INFO - Epoch(train) [4][2800/3842] lr: 6.6687e-02 eta: 3:36:56 time: 0.5417 data_time: 0.0201 memory: 10484 grad_norm: 0.1637 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.6360 recall@top3: 0.7895 prec@top3: 0.7193 recall@top5: 0.8246 prec@top5: 0.4526 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 16:46:38 - mmengine - INFO - Epoch(train) [4][2820/3842] lr: 6.6639e-02 eta: 3:36:48 time: 0.6497 data_time: 0.0222 memory: 10484 grad_norm: 0.1567 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6444 recall@top3: 0.8333 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3867 loss_action_cls: 0.0510 loss: 0.0510 2022/08/10 16:46:52 - mmengine - INFO - Epoch(train) [4][2840/3842] lr: 6.6591e-02 eta: 3:36:43 time: 0.7061 data_time: 0.0193 memory: 10484 grad_norm: 0.1507 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7451 recall@top3: 0.8873 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 16:47:03 - mmengine - INFO - Epoch(train) [4][2860/3842] lr: 6.6543e-02 eta: 3:36:32 time: 0.5408 data_time: 0.0238 memory: 10484 grad_norm: 0.1623 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8571 recall@top3: 0.8929 prec@top3: 0.6667 recall@top5: 0.9405 prec@top5: 0.4286 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 16:47:14 - mmengine - INFO - Epoch(train) [4][2880/3842] lr: 6.6494e-02 eta: 3:36:21 time: 0.5249 data_time: 0.0155 memory: 10484 grad_norm: 0.1698 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7719 recall@top3: 0.7807 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4842 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 16:47:24 - mmengine - INFO - Epoch(train) [4][2900/3842] lr: 6.6445e-02 eta: 3:36:09 time: 0.5004 data_time: 0.0173 memory: 10484 grad_norm: 0.1691 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.5875 recall@top3: 0.7083 prec@top3: 0.5167 recall@top5: 0.9167 prec@top5: 0.4100 loss_action_cls: 0.0510 loss: 0.0510 2022/08/10 16:47:35 - mmengine - INFO - Epoch(train) [4][2920/3842] lr: 6.6396e-02 eta: 3:35:58 time: 0.5466 data_time: 0.0161 memory: 10484 grad_norm: 0.1615 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7059 recall@top3: 0.8725 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0488 loss: 0.0488 2022/08/10 16:47:45 - mmengine - INFO - Epoch(train) [4][2940/3842] lr: 6.6348e-02 eta: 3:35:46 time: 0.5003 data_time: 0.0168 memory: 10484 grad_norm: 0.1624 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8958 recall@top3: 0.8542 prec@top3: 0.5000 recall@top5: 0.8854 prec@top5: 0.3125 loss_action_cls: 0.0517 loss: 0.0517 2022/08/10 16:47:55 - mmengine - INFO - Epoch(train) [4][2960/3842] lr: 6.6299e-02 eta: 3:35:35 time: 0.5328 data_time: 0.0154 memory: 10484 grad_norm: 0.1567 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.9259 recall@top3: 0.8981 prec@top3: 0.9259 recall@top5: 1.0000 prec@top5: 0.6222 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 16:48:06 - mmengine - INFO - Epoch(train) [4][2980/3842] lr: 6.6249e-02 eta: 3:35:24 time: 0.5390 data_time: 0.0187 memory: 10484 grad_norm: 0.1608 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8523 recall@top3: 0.8712 prec@top3: 0.7576 recall@top5: 0.9583 prec@top5: 0.5182 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 16:48:16 - mmengine - INFO - Epoch(train) [4][3000/3842] lr: 6.6200e-02 eta: 3:35:12 time: 0.5044 data_time: 0.0176 memory: 10484 grad_norm: 0.1591 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.6597 recall@top3: 0.7708 prec@top3: 0.5972 recall@top5: 0.8819 prec@top5: 0.4083 loss_action_cls: 0.0518 loss: 0.0518 2022/08/10 16:48:27 - mmengine - INFO - Epoch(train) [4][3020/3842] lr: 6.6151e-02 eta: 3:35:01 time: 0.5235 data_time: 0.0176 memory: 10484 grad_norm: 0.1691 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.8125 recall@top3: 0.8125 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.3750 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 16:48:37 - mmengine - INFO - Epoch(train) [4][3040/3842] lr: 6.6101e-02 eta: 3:34:49 time: 0.5016 data_time: 0.0167 memory: 10484 grad_norm: 0.1625 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8333 recall@top3: 0.7976 prec@top3: 0.7381 recall@top5: 0.9762 prec@top5: 0.5143 loss_action_cls: 0.0479 loss: 0.0479 2022/08/10 16:48:47 - mmengine - INFO - Epoch(train) [4][3060/3842] lr: 6.6052e-02 eta: 3:34:37 time: 0.5233 data_time: 0.0216 memory: 10484 grad_norm: 0.1585 recall@thr=0.5: 0.5509 prec@thr=0.5: 0.7130 recall@top3: 0.6759 prec@top3: 0.6481 recall@top5: 0.8796 prec@top5: 0.5111 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 16:48:57 - mmengine - INFO - Epoch(train) [4][3080/3842] lr: 6.6002e-02 eta: 3:34:25 time: 0.5006 data_time: 0.0160 memory: 10484 grad_norm: 0.1577 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.7458 recall@top3: 0.8467 prec@top3: 0.7500 recall@top5: 0.9400 prec@top5: 0.5100 loss_action_cls: 0.0484 loss: 0.0484 2022/08/10 16:49:08 - mmengine - INFO - Epoch(train) [4][3100/3842] lr: 6.5952e-02 eta: 3:34:14 time: 0.5247 data_time: 0.0175 memory: 10484 grad_norm: 0.1582 recall@thr=0.5: 0.8768 prec@thr=0.5: 0.8696 recall@top3: 0.8732 prec@top3: 0.7971 recall@top5: 0.9855 prec@top5: 0.5565 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 16:49:20 - mmengine - INFO - Epoch(train) [4][3120/3842] lr: 6.5902e-02 eta: 3:34:06 time: 0.6120 data_time: 0.0168 memory: 10484 grad_norm: 0.1617 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.7244 recall@top3: 0.8590 prec@top3: 0.6667 recall@top5: 0.9103 prec@top5: 0.4308 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 16:49:30 - mmengine - INFO - Epoch(train) [4][3140/3842] lr: 6.5852e-02 eta: 3:33:54 time: 0.5092 data_time: 0.0184 memory: 10484 grad_norm: 0.1619 recall@thr=0.5: 0.7202 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.8571 recall@top5: 0.9464 prec@top5: 0.6000 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 16:49:40 - mmengine - INFO - Epoch(train) [4][3160/3842] lr: 6.5802e-02 eta: 3:33:42 time: 0.5001 data_time: 0.0172 memory: 10484 grad_norm: 0.1721 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7456 recall@top3: 0.8596 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4211 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 16:49:51 - mmengine - INFO - Epoch(train) [4][3180/3842] lr: 6.5751e-02 eta: 3:33:31 time: 0.5339 data_time: 0.0171 memory: 10484 grad_norm: 0.1641 recall@thr=0.5: 0.9667 prec@thr=0.5: 0.9750 recall@top3: 0.9417 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 16:50:02 - mmengine - INFO - Epoch(train) [4][3200/3842] lr: 6.5701e-02 eta: 3:33:20 time: 0.5613 data_time: 0.0155 memory: 10484 grad_norm: 0.1692 recall@thr=0.5: 0.7722 prec@thr=0.5: 0.7000 recall@top3: 0.8611 prec@top3: 0.5778 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 16:50:13 - mmengine - INFO - Epoch(train) [4][3220/3842] lr: 6.5650e-02 eta: 3:33:09 time: 0.5327 data_time: 0.0169 memory: 10484 grad_norm: 0.1669 recall@thr=0.5: 0.7600 prec@thr=0.5: 0.6933 recall@top3: 0.8000 prec@top3: 0.5467 recall@top5: 0.9600 prec@top5: 0.4000 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 16:50:23 - mmengine - INFO - Epoch(train) [4][3240/3842] lr: 6.5599e-02 eta: 3:32:58 time: 0.5255 data_time: 0.0177 memory: 10484 grad_norm: 0.1661 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.6056 recall@top3: 0.6167 prec@top3: 0.5778 recall@top5: 0.7778 prec@top5: 0.4267 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 16:50:34 - mmengine - INFO - Epoch(train) [4][3260/3842] lr: 6.5549e-02 eta: 3:32:48 time: 0.5468 data_time: 0.0174 memory: 10484 grad_norm: 0.1587 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.5833 recall@top3: 0.8333 prec@top3: 0.6333 recall@top5: 0.9333 prec@top5: 0.4200 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 16:50:45 - mmengine - INFO - Epoch(train) [4][3280/3842] lr: 6.5498e-02 eta: 3:32:38 time: 0.5690 data_time: 0.0212 memory: 10484 grad_norm: 0.1570 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.6795 recall@top3: 0.7821 prec@top3: 0.5385 recall@top5: 0.8462 prec@top5: 0.3538 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 16:50:56 - mmengine - INFO - Epoch(train) [4][3300/3842] lr: 6.5447e-02 eta: 3:32:27 time: 0.5498 data_time: 0.0163 memory: 10484 grad_norm: 0.1679 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7743 recall@top3: 0.8472 prec@top3: 0.6806 recall@top5: 0.9583 prec@top5: 0.4667 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 16:51:06 - mmengine - INFO - Epoch(train) [4][3320/3842] lr: 6.5395e-02 eta: 3:32:15 time: 0.4973 data_time: 0.0169 memory: 10484 grad_norm: 0.1587 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.7246 recall@top3: 0.7421 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.5238 loss_action_cls: 0.0464 loss: 0.0464 2022/08/10 16:51:17 - mmengine - INFO - Epoch(train) [4][3340/3842] lr: 6.5344e-02 eta: 3:32:04 time: 0.5275 data_time: 0.0170 memory: 10484 grad_norm: 0.1607 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.6288 recall@top3: 0.7765 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3727 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 16:51:28 - mmengine - INFO - Epoch(train) [4][3360/3842] lr: 6.5293e-02 eta: 3:31:54 time: 0.5755 data_time: 0.0204 memory: 10484 grad_norm: 0.1636 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8254 recall@top3: 0.8214 prec@top3: 0.6349 recall@top5: 0.9206 prec@top5: 0.4476 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 16:51:39 - mmengine - INFO - Epoch(train) [4][3380/3842] lr: 6.5241e-02 eta: 3:31:43 time: 0.5469 data_time: 0.0191 memory: 10484 grad_norm: 0.1516 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.8167 recall@top3: 0.8167 prec@top3: 0.7333 recall@top5: 0.9167 prec@top5: 0.5200 loss_action_cls: 0.0457 loss: 0.0457 2022/08/10 16:51:51 - mmengine - INFO - Epoch(train) [4][3400/3842] lr: 6.5190e-02 eta: 3:31:35 time: 0.6026 data_time: 0.0424 memory: 10484 grad_norm: 0.1619 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.8267 recall@top3: 0.8533 prec@top3: 0.8000 recall@top5: 0.9200 prec@top5: 0.5200 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 16:52:02 - mmengine - INFO - Epoch(train) [4][3420/3842] lr: 6.5138e-02 eta: 3:31:23 time: 0.5242 data_time: 0.0177 memory: 10484 grad_norm: 0.1642 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8241 recall@top3: 0.7361 prec@top3: 0.7778 recall@top5: 0.9120 prec@top5: 0.5889 loss_action_cls: 0.0561 loss: 0.0561 2022/08/10 16:52:12 - mmengine - INFO - Epoch(train) [4][3440/3842] lr: 6.5086e-02 eta: 3:31:11 time: 0.4980 data_time: 0.0172 memory: 10484 grad_norm: 0.1663 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8649 recall@top3: 0.7772 prec@top3: 0.7895 recall@top5: 0.9421 prec@top5: 0.6000 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 16:52:22 - mmengine - INFO - Epoch(train) [4][3460/3842] lr: 6.5034e-02 eta: 3:31:00 time: 0.5185 data_time: 0.0162 memory: 10484 grad_norm: 0.1599 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8333 recall@top3: 0.9286 prec@top3: 0.8571 recall@top5: 0.9762 prec@top5: 0.5429 loss_action_cls: 0.0515 loss: 0.0515 2022/08/10 16:52:29 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 16:52:33 - mmengine - INFO - Epoch(train) [4][3480/3842] lr: 6.4982e-02 eta: 3:30:48 time: 0.5236 data_time: 0.0177 memory: 10484 grad_norm: 0.1766 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.9167 recall@top3: 0.9028 prec@top3: 0.8333 recall@top5: 0.9236 prec@top5: 0.5167 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 16:52:44 - mmengine - INFO - Epoch(train) [4][3500/3842] lr: 6.4930e-02 eta: 3:30:38 time: 0.5653 data_time: 0.0176 memory: 10484 grad_norm: 0.1746 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7197 recall@top3: 0.7879 prec@top3: 0.6364 recall@top5: 0.8939 prec@top5: 0.4364 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 16:52:54 - mmengine - INFO - Epoch(train) [4][3520/3842] lr: 6.4877e-02 eta: 3:30:27 time: 0.5267 data_time: 0.0178 memory: 10484 grad_norm: 0.1628 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.7738 recall@top3: 0.8095 prec@top3: 0.5952 recall@top5: 0.8929 prec@top5: 0.4143 loss_action_cls: 0.0462 loss: 0.0462 2022/08/10 16:53:04 - mmengine - INFO - Epoch(train) [4][3540/3842] lr: 6.4825e-02 eta: 3:30:15 time: 0.4982 data_time: 0.0165 memory: 10484 grad_norm: 0.1558 recall@thr=0.5: 0.5389 prec@thr=0.5: 0.7333 recall@top3: 0.7056 prec@top3: 0.6222 recall@top5: 0.9833 prec@top5: 0.5067 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 16:53:16 - mmengine - INFO - Epoch(train) [4][3560/3842] lr: 6.4772e-02 eta: 3:30:06 time: 0.5818 data_time: 0.0192 memory: 10484 grad_norm: 0.1593 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.6917 recall@top3: 0.7292 prec@top3: 0.6333 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 16:53:27 - mmengine - INFO - Epoch(train) [4][3580/3842] lr: 6.4720e-02 eta: 3:29:55 time: 0.5344 data_time: 0.0187 memory: 10484 grad_norm: 0.1737 recall@thr=0.5: 0.6679 prec@thr=0.5: 0.7500 recall@top3: 0.6804 prec@top3: 0.5833 recall@top5: 0.8726 prec@top5: 0.4643 loss_action_cls: 0.0490 loss: 0.0490 2022/08/10 16:53:39 - mmengine - INFO - Epoch(train) [4][3600/3842] lr: 6.4667e-02 eta: 3:29:46 time: 0.6187 data_time: 0.0216 memory: 10484 grad_norm: 0.1705 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7949 recall@top3: 0.8141 prec@top3: 0.6410 recall@top5: 0.9551 prec@top5: 0.4615 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 16:53:50 - mmengine - INFO - Epoch(train) [4][3620/3842] lr: 6.4614e-02 eta: 3:29:35 time: 0.5322 data_time: 0.0176 memory: 10484 grad_norm: 0.1672 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6250 recall@top3: 0.5833 prec@top3: 0.4444 recall@top5: 0.7500 prec@top5: 0.3500 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 16:54:02 - mmengine - INFO - Epoch(train) [4][3640/3842] lr: 6.4561e-02 eta: 3:29:26 time: 0.6106 data_time: 0.0205 memory: 10484 grad_norm: 0.1644 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7353 recall@top3: 0.7647 prec@top3: 0.5686 recall@top5: 0.8824 prec@top5: 0.4000 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 16:54:13 - mmengine - INFO - Epoch(train) [4][3660/3842] lr: 6.4508e-02 eta: 3:29:16 time: 0.5558 data_time: 0.0197 memory: 10484 grad_norm: 0.1618 recall@thr=0.5: 0.5967 prec@thr=0.5: 0.5833 recall@top3: 0.6117 prec@top3: 0.5833 recall@top5: 0.7050 prec@top5: 0.4000 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 16:54:24 - mmengine - INFO - Epoch(train) [4][3680/3842] lr: 6.4455e-02 eta: 3:29:05 time: 0.5284 data_time: 0.0173 memory: 10484 grad_norm: 0.1575 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7656 recall@top3: 0.6635 prec@top3: 0.6458 recall@top5: 0.8500 prec@top5: 0.5000 loss_action_cls: 0.0529 loss: 0.0529 2022/08/10 16:54:34 - mmengine - INFO - Epoch(train) [4][3700/3842] lr: 6.4401e-02 eta: 3:28:53 time: 0.5060 data_time: 0.0168 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8772 recall@top3: 0.8202 prec@top3: 0.8772 recall@top5: 0.9561 prec@top5: 0.6211 loss_action_cls: 0.0449 loss: 0.0449 2022/08/10 16:54:44 - mmengine - INFO - Epoch(train) [4][3720/3842] lr: 6.4348e-02 eta: 3:28:42 time: 0.5253 data_time: 0.0165 memory: 10484 grad_norm: 0.1684 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8627 recall@top3: 0.9314 prec@top3: 0.8235 recall@top5: 1.0000 prec@top5: 0.5294 loss_action_cls: 0.0490 loss: 0.0490 2022/08/10 16:54:54 - mmengine - INFO - Epoch(train) [4][3740/3842] lr: 6.4294e-02 eta: 3:28:30 time: 0.5049 data_time: 0.0178 memory: 10484 grad_norm: 0.1654 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6125 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.9271 prec@top5: 0.4125 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 16:55:05 - mmengine - INFO - Epoch(train) [4][3760/3842] lr: 6.4241e-02 eta: 3:28:19 time: 0.5222 data_time: 0.0182 memory: 10484 grad_norm: 0.1648 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.7500 recall@top3: 0.7292 prec@top3: 0.6806 recall@top5: 0.9271 prec@top5: 0.5250 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 16:55:15 - mmengine - INFO - Epoch(train) [4][3780/3842] lr: 6.4187e-02 eta: 3:28:07 time: 0.5042 data_time: 0.0164 memory: 10484 grad_norm: 0.1771 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7778 recall@top3: 0.8889 prec@top3: 0.7500 recall@top5: 0.9792 prec@top5: 0.5167 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 16:55:25 - mmengine - INFO - Epoch(train) [4][3800/3842] lr: 6.4133e-02 eta: 3:27:55 time: 0.5224 data_time: 0.0164 memory: 10484 grad_norm: 0.1599 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.9706 recall@top3: 0.8824 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 16:55:35 - mmengine - INFO - Epoch(train) [4][3820/3842] lr: 6.4079e-02 eta: 3:27:43 time: 0.5036 data_time: 0.0180 memory: 10484 grad_norm: 0.1590 recall@thr=0.5: 0.7758 prec@thr=0.5: 0.8050 recall@top3: 0.7683 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.5600 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 16:55:46 - mmengine - INFO - Epoch(train) [4][3840/3842] lr: 6.4025e-02 eta: 3:27:32 time: 0.5219 data_time: 0.0181 memory: 10484 grad_norm: 0.1743 recall@thr=0.5: 0.5992 prec@thr=0.5: 0.7197 recall@top3: 0.6758 prec@top3: 0.6970 recall@top5: 0.9136 prec@top5: 0.5636 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 16:55:47 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 16:55:47 - mmengine - INFO - Epoch(train) [4][3842/3842] lr: 6.4019e-02 eta: 3:27:32 time: 0.5092 data_time: 0.0171 memory: 10484 grad_norm: 0.1811 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5000 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 0.7500 prec@top5: 0.3000 loss_action_cls: 0.0488 loss: 0.0488 2022/08/10 16:55:47 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/10 16:55:53 - mmengine - INFO - Epoch(val) [4][20/6282] eta: 0:06:42 time: 0.0643 data_time: 0.0156 memory: 703 2022/08/10 16:55:54 - mmengine - INFO - Epoch(val) [4][40/6282] eta: 0:05:02 time: 0.0485 data_time: 0.0034 memory: 703 2022/08/10 16:55:55 - mmengine - INFO - Epoch(val) [4][60/6282] eta: 0:04:41 time: 0.0452 data_time: 0.0034 memory: 703 2022/08/10 16:55:56 - mmengine - INFO - Epoch(val) [4][80/6282] eta: 0:04:50 time: 0.0468 data_time: 0.0034 memory: 703 2022/08/10 16:55:57 - mmengine - INFO - Epoch(val) [4][100/6282] eta: 0:04:47 time: 0.0466 data_time: 0.0038 memory: 703 2022/08/10 16:55:58 - mmengine - INFO - Epoch(val) [4][120/6282] eta: 0:05:35 time: 0.0545 data_time: 0.0038 memory: 809 2022/08/10 16:55:59 - mmengine - INFO - Epoch(val) [4][140/6282] eta: 0:05:54 time: 0.0578 data_time: 0.0044 memory: 809 2022/08/10 16:56:00 - mmengine - INFO - Epoch(val) [4][160/6282] eta: 0:06:56 time: 0.0681 data_time: 0.0077 memory: 809 2022/08/10 16:56:02 - mmengine - INFO - Epoch(val) [4][180/6282] eta: 0:06:47 time: 0.0669 data_time: 0.0087 memory: 809 2022/08/10 16:56:03 - mmengine - INFO - Epoch(val) [4][200/6282] eta: 0:06:52 time: 0.0678 data_time: 0.0070 memory: 809 2022/08/10 16:56:04 - mmengine - INFO - Epoch(val) [4][220/6282] eta: 0:06:08 time: 0.0608 data_time: 0.0100 memory: 738 2022/08/10 16:56:06 - mmengine - INFO - Epoch(val) [4][240/6282] eta: 0:05:58 time: 0.0593 data_time: 0.0074 memory: 738 2022/08/10 16:56:07 - mmengine - INFO - Epoch(val) [4][260/6282] eta: 0:06:05 time: 0.0607 data_time: 0.0088 memory: 738 2022/08/10 16:56:08 - mmengine - INFO - Epoch(val) [4][280/6282] eta: 0:06:29 time: 0.0649 data_time: 0.0109 memory: 738 2022/08/10 16:56:09 - mmengine - INFO - Epoch(val) [4][300/6282] eta: 0:06:44 time: 0.0675 data_time: 0.0094 memory: 809 2022/08/10 16:56:11 - mmengine - INFO - Epoch(val) [4][320/6282] eta: 0:09:19 time: 0.0939 data_time: 0.0083 memory: 809 2022/08/10 16:56:13 - mmengine - INFO - Epoch(val) [4][340/6282] eta: 0:08:33 time: 0.0864 data_time: 0.0250 memory: 809 2022/08/10 16:56:15 - mmengine - INFO - Epoch(val) [4][360/6282] eta: 0:08:11 time: 0.0831 data_time: 0.0201 memory: 809 2022/08/10 16:56:19 - mmengine - INFO - Epoch(val) [4][380/6282] eta: 0:18:48 time: 0.1912 data_time: 0.1344 memory: 809 2022/08/10 16:56:25 - mmengine - INFO - Epoch(val) [4][400/6282] eta: 0:30:28 time: 0.3109 data_time: 0.2531 memory: 809 2022/08/10 16:56:26 - mmengine - INFO - Epoch(val) [4][420/6282] eta: 0:05:52 time: 0.0600 data_time: 0.0083 memory: 743 2022/08/10 16:56:27 - mmengine - INFO - Epoch(val) [4][440/6282] eta: 0:05:45 time: 0.0592 data_time: 0.0060 memory: 743 2022/08/10 16:56:28 - mmengine - INFO - Epoch(val) [4][460/6282] eta: 0:05:57 time: 0.0615 data_time: 0.0082 memory: 743 2022/08/10 16:56:30 - mmengine - INFO - Epoch(val) [4][480/6282] eta: 0:05:40 time: 0.0588 data_time: 0.0066 memory: 743 2022/08/10 16:56:31 - mmengine - INFO - Epoch(val) [4][500/6282] eta: 0:07:55 time: 0.0822 data_time: 0.0293 memory: 743 2022/08/10 16:56:32 - mmengine - INFO - Epoch(val) [4][520/6282] eta: 0:05:28 time: 0.0570 data_time: 0.0060 memory: 738 2022/08/10 16:56:34 - mmengine - INFO - Epoch(val) [4][540/6282] eta: 0:05:41 time: 0.0595 data_time: 0.0090 memory: 738 2022/08/10 16:56:35 - mmengine - INFO - Epoch(val) [4][560/6282] eta: 0:05:31 time: 0.0580 data_time: 0.0066 memory: 738 2022/08/10 16:56:36 - mmengine - INFO - Epoch(val) [4][580/6282] eta: 0:05:51 time: 0.0617 data_time: 0.0092 memory: 738 2022/08/10 16:56:37 - mmengine - INFO - Epoch(val) [4][600/6282] eta: 0:05:45 time: 0.0609 data_time: 0.0099 memory: 738 2022/08/10 16:56:38 - mmengine - INFO - Epoch(val) [4][620/6282] eta: 0:04:51 time: 0.0514 data_time: 0.0053 memory: 738 2022/08/10 16:56:41 - mmengine - INFO - Epoch(val) [4][640/6282] eta: 0:11:58 time: 0.1273 data_time: 0.0580 memory: 733 2022/08/10 16:56:42 - mmengine - INFO - Epoch(val) [4][660/6282] eta: 0:06:59 time: 0.0746 data_time: 0.0320 memory: 733 2022/08/10 16:56:44 - mmengine - INFO - Epoch(val) [4][680/6282] eta: 0:06:31 time: 0.0699 data_time: 0.0267 memory: 733 2022/08/10 16:56:45 - mmengine - INFO - Epoch(val) [4][700/6282] eta: 0:04:23 time: 0.0473 data_time: 0.0036 memory: 733 2022/08/10 16:56:47 - mmengine - INFO - Epoch(val) [4][720/6282] eta: 0:09:06 time: 0.0982 data_time: 0.0457 memory: 809 2022/08/10 16:56:50 - mmengine - INFO - Epoch(val) [4][740/6282] eta: 0:14:00 time: 0.1516 data_time: 0.0946 memory: 809 2022/08/10 16:56:52 - mmengine - INFO - Epoch(val) [4][760/6282] eta: 0:10:14 time: 0.1112 data_time: 0.0319 memory: 809 2022/08/10 16:56:55 - mmengine - INFO - Epoch(val) [4][780/6282] eta: 0:14:30 time: 0.1582 data_time: 0.0997 memory: 809 2022/08/10 16:56:57 - mmengine - INFO - Epoch(val) [4][800/6282] eta: 0:11:00 time: 0.1205 data_time: 0.0642 memory: 809 2022/08/10 16:56:59 - mmengine - INFO - Epoch(val) [4][820/6282] eta: 0:08:51 time: 0.0973 data_time: 0.0455 memory: 809 2022/08/10 16:57:00 - mmengine - INFO - Epoch(val) [4][840/6282] eta: 0:05:11 time: 0.0572 data_time: 0.0078 memory: 738 2022/08/10 16:57:02 - mmengine - INFO - Epoch(val) [4][860/6282] eta: 0:05:24 time: 0.0598 data_time: 0.0085 memory: 738 2022/08/10 16:57:03 - mmengine - INFO - Epoch(val) [4][880/6282] eta: 0:05:20 time: 0.0593 data_time: 0.0079 memory: 738 2022/08/10 16:57:04 - mmengine - INFO - Epoch(val) [4][900/6282] eta: 0:07:03 time: 0.0786 data_time: 0.0338 memory: 738 2022/08/10 16:57:06 - mmengine - INFO - Epoch(val) [4][920/6282] eta: 0:07:15 time: 0.0812 data_time: 0.0339 memory: 738 2022/08/10 16:57:07 - mmengine - INFO - Epoch(val) [4][940/6282] eta: 0:04:30 time: 0.0507 data_time: 0.0042 memory: 703 2022/08/10 16:57:08 - mmengine - INFO - Epoch(val) [4][960/6282] eta: 0:06:18 time: 0.0710 data_time: 0.0273 memory: 703 2022/08/10 16:57:10 - mmengine - INFO - Epoch(val) [4][980/6282] eta: 0:04:59 time: 0.0566 data_time: 0.0085 memory: 703 2022/08/10 16:57:11 - mmengine - INFO - Epoch(val) [4][1000/6282] eta: 0:05:06 time: 0.0581 data_time: 0.0092 memory: 703 2022/08/10 16:57:12 - mmengine - INFO - Epoch(val) [4][1020/6282] eta: 0:05:04 time: 0.0578 data_time: 0.0082 memory: 738 2022/08/10 16:57:13 - mmengine - INFO - Epoch(val) [4][1040/6282] eta: 0:05:06 time: 0.0584 data_time: 0.0078 memory: 738 2022/08/10 16:57:14 - mmengine - INFO - Epoch(val) [4][1060/6282] eta: 0:06:04 time: 0.0698 data_time: 0.0069 memory: 738 2022/08/10 16:57:16 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:05:20 time: 0.0617 data_time: 0.0095 memory: 738 2022/08/10 16:57:17 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:05:00 time: 0.0581 data_time: 0.0089 memory: 738 2022/08/10 16:57:18 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:05:08 time: 0.0597 data_time: 0.0064 memory: 738 2022/08/10 16:57:19 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:05:02 time: 0.0587 data_time: 0.0067 memory: 738 2022/08/10 16:57:20 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:05:13 time: 0.0613 data_time: 0.0071 memory: 738 2022/08/10 16:57:22 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:05:02 time: 0.0593 data_time: 0.0074 memory: 738 2022/08/10 16:57:23 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:04:46 time: 0.0565 data_time: 0.0076 memory: 738 2022/08/10 16:57:24 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:04:57 time: 0.0587 data_time: 0.0073 memory: 738 2022/08/10 16:57:27 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:11:04 time: 0.1319 data_time: 0.0713 memory: 809 2022/08/10 16:57:31 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:16:33 time: 0.1979 data_time: 0.1157 memory: 809 2022/08/10 16:57:33 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:09:45 time: 0.1170 data_time: 0.0548 memory: 809 2022/08/10 16:57:35 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:10:09 time: 0.1223 data_time: 0.0625 memory: 809 2022/08/10 16:57:38 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:12:03 time: 0.1457 data_time: 0.0859 memory: 809 2022/08/10 16:57:41 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:09:38 time: 0.1170 data_time: 0.0595 memory: 809 2022/08/10 16:57:44 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:12:27 time: 0.1518 data_time: 0.0906 memory: 809 2022/08/10 16:57:46 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:09:38 time: 0.1179 data_time: 0.0583 memory: 809 2022/08/10 16:57:49 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:12:02 time: 0.1480 data_time: 0.0880 memory: 809 2022/08/10 16:57:52 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:10:26 time: 0.1288 data_time: 0.0538 memory: 809 2022/08/10 16:57:53 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:05:13 time: 0.0648 data_time: 0.0059 memory: 809 2022/08/10 16:57:54 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:05:12 time: 0.0649 data_time: 0.0056 memory: 809 2022/08/10 16:57:55 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:05:15 time: 0.0657 data_time: 0.0076 memory: 809 2022/08/10 16:57:57 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:05:16 time: 0.0663 data_time: 0.0076 memory: 809 2022/08/10 16:57:58 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:05:23 time: 0.0678 data_time: 0.0084 memory: 911 2022/08/10 16:58:00 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:06:22 time: 0.0807 data_time: 0.0078 memory: 911 2022/08/10 16:58:01 - mmengine - INFO - Epoch(val) [4][1560/6282] eta: 0:06:18 time: 0.0802 data_time: 0.0069 memory: 911 2022/08/10 16:58:03 - mmengine - INFO - Epoch(val) [4][1580/6282] eta: 0:06:12 time: 0.0793 data_time: 0.0083 memory: 911 2022/08/10 16:58:05 - mmengine - INFO - Epoch(val) [4][1600/6282] eta: 0:06:25 time: 0.0823 data_time: 0.0089 memory: 911 2022/08/10 16:58:06 - mmengine - INFO - Epoch(val) [4][1620/6282] eta: 0:06:22 time: 0.0821 data_time: 0.0097 memory: 911 2022/08/10 16:58:08 - mmengine - INFO - Epoch(val) [4][1640/6282] eta: 0:05:06 time: 0.0661 data_time: 0.0067 memory: 809 2022/08/10 16:58:09 - mmengine - INFO - Epoch(val) [4][1660/6282] eta: 0:05:04 time: 0.0660 data_time: 0.0072 memory: 809 2022/08/10 16:58:11 - mmengine - INFO - Epoch(val) [4][1680/6282] eta: 0:07:00 time: 0.0914 data_time: 0.0072 memory: 809 2022/08/10 16:58:12 - mmengine - INFO - Epoch(val) [4][1700/6282] eta: 0:05:09 time: 0.0675 data_time: 0.0077 memory: 809 2022/08/10 16:58:13 - mmengine - INFO - Epoch(val) [4][1720/6282] eta: 0:05:14 time: 0.0689 data_time: 0.0081 memory: 809 2022/08/10 16:58:15 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:05:05 time: 0.0674 data_time: 0.0086 memory: 809 2022/08/10 16:58:16 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:05:15 time: 0.0697 data_time: 0.0084 memory: 809 2022/08/10 16:58:18 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:05:09 time: 0.0687 data_time: 0.0066 memory: 809 2022/08/10 16:58:19 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:05:02 time: 0.0675 data_time: 0.0082 memory: 809 2022/08/10 16:58:20 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:05:40 time: 0.0762 data_time: 0.0217 memory: 809 2022/08/10 16:58:23 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:09:47 time: 0.1323 data_time: 0.0501 memory: 809 2022/08/10 16:58:26 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:10:35 time: 0.1437 data_time: 0.0856 memory: 809 2022/08/10 16:58:29 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:12:22 time: 0.1687 data_time: 0.1100 memory: 809 2022/08/10 16:58:32 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:11:17 time: 0.1547 data_time: 0.0728 memory: 809 2022/08/10 16:58:35 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:09:17 time: 0.1279 data_time: 0.0693 memory: 809 2022/08/10 16:58:37 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:08:39 time: 0.1195 data_time: 0.0618 memory: 809 2022/08/10 16:58:39 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:04:06 time: 0.0570 data_time: 0.0049 memory: 743 2022/08/10 16:58:40 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:03:56 time: 0.0549 data_time: 0.0062 memory: 743 2022/08/10 16:58:41 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:04:04 time: 0.0571 data_time: 0.0064 memory: 743 2022/08/10 16:58:42 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:04:15 time: 0.0600 data_time: 0.0092 memory: 743 2022/08/10 16:58:43 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:04:14 time: 0.0601 data_time: 0.0080 memory: 743 2022/08/10 16:58:44 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:04:19 time: 0.0615 data_time: 0.0092 memory: 743 2022/08/10 16:58:46 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:04:08 time: 0.0590 data_time: 0.0081 memory: 743 2022/08/10 16:58:47 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:04:22 time: 0.0628 data_time: 0.0094 memory: 743 2022/08/10 16:58:48 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:04:25 time: 0.0638 data_time: 0.0076 memory: 743 2022/08/10 16:58:49 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:04:27 time: 0.0645 data_time: 0.0088 memory: 743 2022/08/10 16:58:51 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:04:38 time: 0.0675 data_time: 0.0119 memory: 738 2022/08/10 16:58:52 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:04:24 time: 0.0646 data_time: 0.0120 memory: 738 2022/08/10 16:58:53 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:04:14 time: 0.0624 data_time: 0.0088 memory: 738 2022/08/10 16:58:55 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:04:08 time: 0.0611 data_time: 0.0092 memory: 738 2022/08/10 16:58:56 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:04:03 time: 0.0602 data_time: 0.0066 memory: 738 2022/08/10 16:58:57 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:03:54 time: 0.0583 data_time: 0.0074 memory: 743 2022/08/10 16:58:58 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:03:56 time: 0.0591 data_time: 0.0075 memory: 743 2022/08/10 16:58:59 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:04:01 time: 0.0605 data_time: 0.0078 memory: 743 2022/08/10 16:59:01 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:03:51 time: 0.0585 data_time: 0.0068 memory: 743 2022/08/10 16:59:02 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:04:03 time: 0.0619 data_time: 0.0106 memory: 743 2022/08/10 16:59:03 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:04:00 time: 0.0613 data_time: 0.0065 memory: 738 2022/08/10 16:59:04 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:03:56 time: 0.0606 data_time: 0.0089 memory: 738 2022/08/10 16:59:05 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:03:43 time: 0.0575 data_time: 0.0081 memory: 738 2022/08/10 16:59:07 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:03:46 time: 0.0586 data_time: 0.0081 memory: 738 2022/08/10 16:59:08 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:03:30 time: 0.0548 data_time: 0.0063 memory: 738 2022/08/10 16:59:09 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:04:56 time: 0.0776 data_time: 0.0187 memory: 809 2022/08/10 16:59:11 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:06:20 time: 0.1001 data_time: 0.0156 memory: 809 2022/08/10 16:59:13 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:04:44 time: 0.0752 data_time: 0.0146 memory: 809 2022/08/10 16:59:14 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:05:20 time: 0.0852 data_time: 0.0243 memory: 809 2022/08/10 16:59:17 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:06:52 time: 0.1102 data_time: 0.0495 memory: 809 2022/08/10 16:59:20 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:11:02 time: 0.1781 data_time: 0.1168 memory: 809 2022/08/10 16:59:24 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:11:36 time: 0.1880 data_time: 0.1310 memory: 809 2022/08/10 16:59:26 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:07:11 time: 0.1173 data_time: 0.0630 memory: 809 2022/08/10 16:59:30 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:10:26 time: 0.1710 data_time: 0.1110 memory: 809 2022/08/10 16:59:33 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:08:51 time: 0.1460 data_time: 0.0800 memory: 809 2022/08/10 16:59:34 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:04:12 time: 0.0697 data_time: 0.0036 memory: 902 2022/08/10 16:59:36 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:04:30 time: 0.0750 data_time: 0.0068 memory: 902 2022/08/10 16:59:37 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:04:38 time: 0.0776 data_time: 0.0076 memory: 902 2022/08/10 16:59:39 - mmengine - INFO - Epoch(val) [4][2720/6282] eta: 0:04:41 time: 0.0789 data_time: 0.0081 memory: 902 2022/08/10 16:59:40 - mmengine - INFO - Epoch(val) [4][2740/6282] eta: 0:04:21 time: 0.0739 data_time: 0.0067 memory: 902 2022/08/10 16:59:41 - mmengine - INFO - Epoch(val) [4][2760/6282] eta: 0:03:15 time: 0.0555 data_time: 0.0071 memory: 743 2022/08/10 16:59:42 - mmengine - INFO - Epoch(val) [4][2780/6282] eta: 0:03:13 time: 0.0551 data_time: 0.0059 memory: 743 2022/08/10 16:59:43 - mmengine - INFO - Epoch(val) [4][2800/6282] eta: 0:03:07 time: 0.0538 data_time: 0.0047 memory: 743 2022/08/10 16:59:45 - mmengine - INFO - Epoch(val) [4][2820/6282] eta: 0:03:23 time: 0.0589 data_time: 0.0061 memory: 743 2022/08/10 16:59:46 - mmengine - INFO - Epoch(val) [4][2840/6282] eta: 0:03:35 time: 0.0626 data_time: 0.0108 memory: 743 2022/08/10 16:59:53 - mmengine - INFO - Epoch(val) [4][2860/6282] eta: 0:20:40 time: 0.3626 data_time: 0.3056 memory: 809 2022/08/10 16:59:56 - mmengine - INFO - Epoch(val) [4][2880/6282] eta: 0:07:44 time: 0.1364 data_time: 0.0765 memory: 809 2022/08/10 16:59:58 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:05:39 time: 0.1003 data_time: 0.0394 memory: 809 2022/08/10 17:00:00 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:06:04 time: 0.1084 data_time: 0.0489 memory: 809 2022/08/10 17:00:01 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:03:20 time: 0.0601 data_time: 0.0046 memory: 773 2022/08/10 17:00:02 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:03:21 time: 0.0608 data_time: 0.0069 memory: 773 2022/08/10 17:00:04 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:03:26 time: 0.0626 data_time: 0.0084 memory: 773 2022/08/10 17:00:06 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:06:42 time: 0.1227 data_time: 0.0739 memory: 773 2022/08/10 17:00:08 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:04:05 time: 0.0753 data_time: 0.0181 memory: 809 2022/08/10 17:00:09 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:03:23 time: 0.0626 data_time: 0.0041 memory: 809 2022/08/10 17:00:11 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:05:43 time: 0.1065 data_time: 0.0178 memory: 809 2022/08/10 17:00:12 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:03:34 time: 0.0670 data_time: 0.0064 memory: 809 2022/08/10 17:00:14 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:03:16 time: 0.0616 data_time: 0.0063 memory: 809 2022/08/10 17:00:15 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:03:03 time: 0.0580 data_time: 0.0063 memory: 743 2022/08/10 17:00:16 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:03:03 time: 0.0584 data_time: 0.0072 memory: 743 2022/08/10 17:00:17 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:02:58 time: 0.0572 data_time: 0.0073 memory: 743 2022/08/10 17:00:18 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:03:02 time: 0.0589 data_time: 0.0094 memory: 743 2022/08/10 17:00:20 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:03:13 time: 0.0627 data_time: 0.0082 memory: 809 2022/08/10 17:00:21 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:04:43 time: 0.0925 data_time: 0.0329 memory: 809 2022/08/10 17:00:24 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:05:54 time: 0.1165 data_time: 0.0311 memory: 809 2022/08/10 17:00:25 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:04:13 time: 0.0840 data_time: 0.0279 memory: 809 2022/08/10 17:00:27 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:03:18 time: 0.0662 data_time: 0.0077 memory: 809 2022/08/10 17:00:28 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:03:09 time: 0.0634 data_time: 0.0058 memory: 809 2022/08/10 17:00:29 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:03:28 time: 0.0705 data_time: 0.0078 memory: 809 2022/08/10 17:00:31 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:03:26 time: 0.0703 data_time: 0.0073 memory: 809 2022/08/10 17:00:32 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:03:25 time: 0.0704 data_time: 0.0072 memory: 809 2022/08/10 17:00:34 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:04:21 time: 0.0900 data_time: 0.0070 memory: 809 2022/08/10 17:00:35 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:02:58 time: 0.0618 data_time: 0.0094 memory: 738 2022/08/10 17:00:36 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:02:46 time: 0.0581 data_time: 0.0058 memory: 738 2022/08/10 17:00:38 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:02:36 time: 0.0550 data_time: 0.0071 memory: 738 2022/08/10 17:00:39 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:02:34 time: 0.0547 data_time: 0.0065 memory: 738 2022/08/10 17:00:40 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:02:31 time: 0.0539 data_time: 0.0054 memory: 738 2022/08/10 17:00:41 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:02:34 time: 0.0557 data_time: 0.0070 memory: 738 2022/08/10 17:00:42 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:02:28 time: 0.0536 data_time: 0.0069 memory: 738 2022/08/10 17:00:43 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:02:34 time: 0.0563 data_time: 0.0069 memory: 738 2022/08/10 17:00:44 - mmengine - INFO - Epoch(val) [4][3560/6282] eta: 0:02:24 time: 0.0531 data_time: 0.0054 memory: 738 2022/08/10 17:00:46 - mmengine - INFO - Epoch(val) [4][3580/6282] eta: 0:03:47 time: 0.0843 data_time: 0.0055 memory: 789 2022/08/10 17:00:47 - mmengine - INFO - Epoch(val) [4][3600/6282] eta: 0:03:16 time: 0.0734 data_time: 0.0182 memory: 789 2022/08/10 17:00:48 - mmengine - INFO - Epoch(val) [4][3620/6282] eta: 0:02:40 time: 0.0602 data_time: 0.0061 memory: 789 2022/08/10 17:00:50 - mmengine - INFO - Epoch(val) [4][3640/6282] eta: 0:02:38 time: 0.0598 data_time: 0.0056 memory: 789 2022/08/10 17:00:51 - mmengine - INFO - Epoch(val) [4][3660/6282] eta: 0:02:32 time: 0.0581 data_time: 0.0051 memory: 789 2022/08/10 17:00:52 - mmengine - INFO - Epoch(val) [4][3680/6282] eta: 0:02:35 time: 0.0599 data_time: 0.0054 memory: 809 2022/08/10 17:00:54 - mmengine - INFO - Epoch(val) [4][3700/6282] eta: 0:03:25 time: 0.0795 data_time: 0.0230 memory: 809 2022/08/10 17:00:55 - mmengine - INFO - Epoch(val) [4][3720/6282] eta: 0:03:40 time: 0.0861 data_time: 0.0255 memory: 809 2022/08/10 17:01:01 - mmengine - INFO - Epoch(val) [4][3740/6282] eta: 0:12:00 time: 0.2833 data_time: 0.2213 memory: 809 2022/08/10 17:01:02 - mmengine - INFO - Epoch(val) [4][3760/6282] eta: 0:02:34 time: 0.0611 data_time: 0.0049 memory: 809 2022/08/10 17:01:03 - mmengine - INFO - Epoch(val) [4][3780/6282] eta: 0:02:37 time: 0.0630 data_time: 0.0072 memory: 809 2022/08/10 17:01:05 - mmengine - INFO - Epoch(val) [4][3800/6282] eta: 0:03:53 time: 0.0940 data_time: 0.0340 memory: 809 2022/08/10 17:01:07 - mmengine - INFO - Epoch(val) [4][3820/6282] eta: 0:03:35 time: 0.0874 data_time: 0.0276 memory: 809 2022/08/10 17:01:09 - mmengine - INFO - Epoch(val) [4][3840/6282] eta: 0:03:29 time: 0.0860 data_time: 0.0259 memory: 809 2022/08/10 17:01:11 - mmengine - INFO - Epoch(val) [4][3860/6282] eta: 0:04:35 time: 0.1137 data_time: 0.0350 memory: 809 2022/08/10 17:01:13 - mmengine - INFO - Epoch(val) [4][3880/6282] eta: 0:03:28 time: 0.0866 data_time: 0.0243 memory: 809 2022/08/10 17:01:14 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:02:56 time: 0.0743 data_time: 0.0131 memory: 809 2022/08/10 17:01:16 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:03:34 time: 0.0908 data_time: 0.0293 memory: 809 2022/08/10 17:01:18 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:03:00 time: 0.0772 data_time: 0.0176 memory: 809 2022/08/10 17:01:19 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:02:50 time: 0.0735 data_time: 0.0155 memory: 809 2022/08/10 17:01:20 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:02:28 time: 0.0646 data_time: 0.0045 memory: 809 2022/08/10 17:01:22 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:02:36 time: 0.0684 data_time: 0.0083 memory: 809 2022/08/10 17:01:23 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:02:32 time: 0.0676 data_time: 0.0064 memory: 809 2022/08/10 17:01:25 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:02:34 time: 0.0690 data_time: 0.0083 memory: 902 2022/08/10 17:01:26 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:02:57 time: 0.0800 data_time: 0.0078 memory: 902 2022/08/10 17:01:28 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:02:54 time: 0.0794 data_time: 0.0075 memory: 902 2022/08/10 17:01:29 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:02:53 time: 0.0796 data_time: 0.0087 memory: 902 2022/08/10 17:01:31 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:03:45 time: 0.1045 data_time: 0.0097 memory: 902 2022/08/10 17:01:33 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:02:29 time: 0.0697 data_time: 0.0071 memory: 902 2022/08/10 17:01:34 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:02:03 time: 0.0584 data_time: 0.0084 memory: 738 2022/08/10 17:01:35 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:01:58 time: 0.0566 data_time: 0.0085 memory: 738 2022/08/10 17:01:36 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:01:57 time: 0.0566 data_time: 0.0084 memory: 738 2022/08/10 17:01:37 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:01:58 time: 0.0575 data_time: 0.0054 memory: 738 2022/08/10 17:01:39 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:01:53 time: 0.0558 data_time: 0.0079 memory: 738 2022/08/10 17:01:40 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:02:02 time: 0.0607 data_time: 0.0099 memory: 736 2022/08/10 17:01:41 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:02:01 time: 0.0609 data_time: 0.0067 memory: 736 2022/08/10 17:01:42 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:01:55 time: 0.0584 data_time: 0.0101 memory: 736 2022/08/10 17:01:43 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:01:59 time: 0.0611 data_time: 0.0096 memory: 736 2022/08/10 17:01:46 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:04:16 time: 0.1323 data_time: 0.0855 memory: 736 2022/08/10 17:01:53 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:10:33 time: 0.3297 data_time: 0.2523 memory: 809 2022/08/10 17:01:54 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:02:07 time: 0.0671 data_time: 0.0056 memory: 809 2022/08/10 17:01:55 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:02:08 time: 0.0682 data_time: 0.0081 memory: 809 2022/08/10 17:01:57 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:02:07 time: 0.0683 data_time: 0.0079 memory: 809 2022/08/10 17:01:58 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:02:05 time: 0.0682 data_time: 0.0072 memory: 816 2022/08/10 17:01:59 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:02:01 time: 0.0665 data_time: 0.0080 memory: 816 2022/08/10 17:02:01 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:02:08 time: 0.0712 data_time: 0.0071 memory: 816 2022/08/10 17:02:02 - mmengine - INFO - Epoch(val) [4][4500/6282] eta: 0:02:08 time: 0.0721 data_time: 0.0081 memory: 816 2022/08/10 17:02:04 - mmengine - INFO - Epoch(val) [4][4520/6282] eta: 0:01:58 time: 0.0673 data_time: 0.0069 memory: 816 2022/08/10 17:02:05 - mmengine - INFO - Epoch(val) [4][4540/6282] eta: 0:01:43 time: 0.0596 data_time: 0.0081 memory: 743 2022/08/10 17:02:06 - mmengine - INFO - Epoch(val) [4][4560/6282] eta: 0:01:48 time: 0.0628 data_time: 0.0067 memory: 743 2022/08/10 17:02:07 - mmengine - INFO - Epoch(val) [4][4580/6282] eta: 0:01:38 time: 0.0581 data_time: 0.0066 memory: 743 2022/08/10 17:02:08 - mmengine - INFO - Epoch(val) [4][4600/6282] eta: 0:01:42 time: 0.0609 data_time: 0.0094 memory: 743 2022/08/10 17:02:10 - mmengine - INFO - Epoch(val) [4][4620/6282] eta: 0:01:45 time: 0.0633 data_time: 0.0115 memory: 743 2022/08/10 17:02:11 - mmengine - INFO - Epoch(val) [4][4640/6282] eta: 0:02:18 time: 0.0844 data_time: 0.0076 memory: 816 2022/08/10 17:02:13 - mmengine - INFO - Epoch(val) [4][4660/6282] eta: 0:01:49 time: 0.0678 data_time: 0.0081 memory: 816 2022/08/10 17:02:14 - mmengine - INFO - Epoch(val) [4][4680/6282] eta: 0:01:49 time: 0.0686 data_time: 0.0069 memory: 816 2022/08/10 17:02:16 - mmengine - INFO - Epoch(val) [4][4700/6282] eta: 0:01:49 time: 0.0693 data_time: 0.0082 memory: 816 2022/08/10 17:02:17 - mmengine - INFO - Epoch(val) [4][4720/6282] eta: 0:01:45 time: 0.0674 data_time: 0.0065 memory: 816 2022/08/10 17:02:18 - mmengine - INFO - Epoch(val) [4][4740/6282] eta: 0:01:36 time: 0.0626 data_time: 0.0062 memory: 768 2022/08/10 17:02:19 - mmengine - INFO - Epoch(val) [4][4760/6282] eta: 0:01:35 time: 0.0627 data_time: 0.0084 memory: 768 2022/08/10 17:02:21 - mmengine - INFO - Epoch(val) [4][4780/6282] eta: 0:01:34 time: 0.0627 data_time: 0.0086 memory: 768 2022/08/10 17:02:22 - mmengine - INFO - Epoch(val) [4][4800/6282] eta: 0:01:30 time: 0.0609 data_time: 0.0063 memory: 768 2022/08/10 17:02:23 - mmengine - INFO - Epoch(val) [4][4820/6282] eta: 0:01:35 time: 0.0652 data_time: 0.0079 memory: 809 2022/08/10 17:02:25 - mmengine - INFO - Epoch(val) [4][4840/6282] eta: 0:01:38 time: 0.0683 data_time: 0.0077 memory: 809 2022/08/10 17:02:26 - mmengine - INFO - Epoch(val) [4][4860/6282] eta: 0:01:37 time: 0.0686 data_time: 0.0076 memory: 809 2022/08/10 17:02:27 - mmengine - INFO - Epoch(val) [4][4880/6282] eta: 0:01:36 time: 0.0687 data_time: 0.0083 memory: 809 2022/08/10 17:02:29 - mmengine - INFO - Epoch(val) [4][4900/6282] eta: 0:01:35 time: 0.0690 data_time: 0.0073 memory: 809 2022/08/10 17:02:30 - mmengine - INFO - Epoch(val) [4][4920/6282] eta: 0:01:34 time: 0.0693 data_time: 0.0077 memory: 811 2022/08/10 17:02:32 - mmengine - INFO - Epoch(val) [4][4940/6282] eta: 0:02:05 time: 0.0937 data_time: 0.0071 memory: 811 2022/08/10 17:02:33 - mmengine - INFO - Epoch(val) [4][4960/6282] eta: 0:01:31 time: 0.0695 data_time: 0.0076 memory: 811 2022/08/10 17:02:35 - mmengine - INFO - Epoch(val) [4][4980/6282] eta: 0:01:34 time: 0.0722 data_time: 0.0100 memory: 811 2022/08/10 17:02:36 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:01:28 time: 0.0694 data_time: 0.0079 memory: 811 2022/08/10 17:02:38 - mmengine - INFO - Epoch(val) [4][5020/6282] eta: 0:01:23 time: 0.0660 data_time: 0.0085 memory: 811 2022/08/10 17:02:39 - mmengine - INFO - Epoch(val) [4][5040/6282] eta: 0:01:14 time: 0.0600 data_time: 0.0078 memory: 743 2022/08/10 17:02:40 - mmengine - INFO - Epoch(val) [4][5060/6282] eta: 0:01:14 time: 0.0613 data_time: 0.0081 memory: 743 2022/08/10 17:02:41 - mmengine - INFO - Epoch(val) [4][5080/6282] eta: 0:01:15 time: 0.0628 data_time: 0.0092 memory: 743 2022/08/10 17:02:42 - mmengine - INFO - Epoch(val) [4][5100/6282] eta: 0:01:14 time: 0.0633 data_time: 0.0087 memory: 743 2022/08/10 17:02:44 - mmengine - INFO - Epoch(val) [4][5120/6282] eta: 0:01:07 time: 0.0584 data_time: 0.0068 memory: 743 2022/08/10 17:02:45 - mmengine - INFO - Epoch(val) [4][5140/6282] eta: 0:01:11 time: 0.0623 data_time: 0.0084 memory: 738 2022/08/10 17:02:46 - mmengine - INFO - Epoch(val) [4][5160/6282] eta: 0:01:08 time: 0.0610 data_time: 0.0080 memory: 738 2022/08/10 17:02:47 - mmengine - INFO - Epoch(val) [4][5180/6282] eta: 0:01:08 time: 0.0624 data_time: 0.0094 memory: 738 2022/08/10 17:02:49 - mmengine - INFO - Epoch(val) [4][5200/6282] eta: 0:01:08 time: 0.0632 data_time: 0.0107 memory: 738 2022/08/10 17:02:50 - mmengine - INFO - Epoch(val) [4][5220/6282] eta: 0:01:06 time: 0.0624 data_time: 0.0109 memory: 738 2022/08/10 17:02:52 - mmengine - INFO - Epoch(val) [4][5240/6282] eta: 0:01:26 time: 0.0833 data_time: 0.0093 memory: 736 2022/08/10 17:02:53 - mmengine - INFO - Epoch(val) [4][5260/6282] eta: 0:01:03 time: 0.0624 data_time: 0.0081 memory: 736 2022/08/10 17:02:54 - mmengine - INFO - Epoch(val) [4][5280/6282] eta: 0:01:00 time: 0.0607 data_time: 0.0066 memory: 736 2022/08/10 17:02:55 - mmengine - INFO - Epoch(val) [4][5300/6282] eta: 0:00:59 time: 0.0603 data_time: 0.0086 memory: 736 2022/08/10 17:02:56 - mmengine - INFO - Epoch(val) [4][5320/6282] eta: 0:01:00 time: 0.0632 data_time: 0.0105 memory: 738 2022/08/10 17:02:58 - mmengine - INFO - Epoch(val) [4][5340/6282] eta: 0:00:56 time: 0.0605 data_time: 0.0069 memory: 738 2022/08/10 17:02:59 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:00:56 time: 0.0613 data_time: 0.0085 memory: 738 2022/08/10 17:03:00 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:00:55 time: 0.0616 data_time: 0.0090 memory: 738 2022/08/10 17:03:01 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:00:52 time: 0.0600 data_time: 0.0076 memory: 738 2022/08/10 17:03:03 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:55 time: 0.0640 data_time: 0.0090 memory: 738 2022/08/10 17:03:04 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:50 time: 0.0600 data_time: 0.0086 memory: 738 2022/08/10 17:03:05 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:00:51 time: 0.0631 data_time: 0.0088 memory: 738 2022/08/10 17:03:06 - mmengine - INFO - Epoch(val) [4][5480/6282] eta: 0:00:46 time: 0.0579 data_time: 0.0095 memory: 738 2022/08/10 17:03:07 - mmengine - INFO - Epoch(val) [4][5500/6282] eta: 0:00:46 time: 0.0595 data_time: 0.0075 memory: 738 2022/08/10 17:03:09 - mmengine - INFO - Epoch(val) [4][5520/6282] eta: 0:00:48 time: 0.0634 data_time: 0.0071 memory: 763 2022/08/10 17:03:10 - mmengine - INFO - Epoch(val) [4][5540/6282] eta: 0:00:46 time: 0.0628 data_time: 0.0077 memory: 763 2022/08/10 17:03:12 - mmengine - INFO - Epoch(val) [4][5560/6282] eta: 0:01:03 time: 0.0874 data_time: 0.0092 memory: 763 2022/08/10 17:03:13 - mmengine - INFO - Epoch(val) [4][5580/6282] eta: 0:00:44 time: 0.0630 data_time: 0.0081 memory: 763 2022/08/10 17:03:15 - mmengine - INFO - Epoch(val) [4][5600/6282] eta: 0:00:58 time: 0.0860 data_time: 0.0309 memory: 763 2022/08/10 17:03:17 - mmengine - INFO - Epoch(val) [4][5620/6282] eta: 0:01:11 time: 0.1073 data_time: 0.0586 memory: 763 2022/08/10 17:03:18 - mmengine - INFO - Epoch(val) [4][5640/6282] eta: 0:00:46 time: 0.0725 data_time: 0.0256 memory: 738 2022/08/10 17:03:21 - mmengine - INFO - Epoch(val) [4][5660/6282] eta: 0:01:26 time: 0.1397 data_time: 0.0875 memory: 738 2022/08/10 17:03:22 - mmengine - INFO - Epoch(val) [4][5680/6282] eta: 0:00:34 time: 0.0571 data_time: 0.0056 memory: 738 2022/08/10 17:03:23 - mmengine - INFO - Epoch(val) [4][5700/6282] eta: 0:00:33 time: 0.0582 data_time: 0.0072 memory: 738 2022/08/10 17:03:25 - mmengine - INFO - Epoch(val) [4][5720/6282] eta: 0:00:35 time: 0.0623 data_time: 0.0091 memory: 780 2022/08/10 17:03:26 - mmengine - INFO - Epoch(val) [4][5740/6282] eta: 0:00:46 time: 0.0866 data_time: 0.0060 memory: 780 2022/08/10 17:03:28 - mmengine - INFO - Epoch(val) [4][5760/6282] eta: 0:00:31 time: 0.0599 data_time: 0.0069 memory: 780 2022/08/10 17:03:29 - mmengine - INFO - Epoch(val) [4][5780/6282] eta: 0:00:29 time: 0.0585 data_time: 0.0061 memory: 780 2022/08/10 17:03:30 - mmengine - INFO - Epoch(val) [4][5800/6282] eta: 0:00:27 time: 0.0579 data_time: 0.0061 memory: 780 2022/08/10 17:03:31 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:33 time: 0.0715 data_time: 0.0114 memory: 780 2022/08/10 17:03:33 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:27 time: 0.0625 data_time: 0.0085 memory: 763 2022/08/10 17:03:34 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:27 time: 0.0649 data_time: 0.0080 memory: 763 2022/08/10 17:03:35 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:26 time: 0.0649 data_time: 0.0081 memory: 763 2022/08/10 17:03:37 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:27 time: 0.0720 data_time: 0.0077 memory: 763 2022/08/10 17:03:38 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:22 time: 0.0619 data_time: 0.0072 memory: 763 2022/08/10 17:03:39 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:20 time: 0.0600 data_time: 0.0106 memory: 738 2022/08/10 17:03:40 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:18 time: 0.0566 data_time: 0.0065 memory: 738 2022/08/10 17:03:41 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:17 time: 0.0593 data_time: 0.0098 memory: 738 2022/08/10 17:03:44 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:35 time: 0.1270 data_time: 0.0737 memory: 809 2022/08/10 17:03:46 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:21 time: 0.0814 data_time: 0.0257 memory: 809 2022/08/10 17:03:47 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:14 time: 0.0582 data_time: 0.0036 memory: 809 2022/08/10 17:03:48 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:12 time: 0.0585 data_time: 0.0048 memory: 809 2022/08/10 17:03:49 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:11 time: 0.0576 data_time: 0.0044 memory: 809 2022/08/10 17:03:51 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:15 time: 0.0863 data_time: 0.0047 memory: 809 2022/08/10 17:03:52 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:09 time: 0.0601 data_time: 0.0049 memory: 809 2022/08/10 17:03:53 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:09 time: 0.0653 data_time: 0.0092 memory: 809 2022/08/10 17:03:55 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:08 time: 0.0673 data_time: 0.0116 memory: 809 2022/08/10 17:03:56 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:08 time: 0.0852 data_time: 0.0315 memory: 809 2022/08/10 17:03:58 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:04 time: 0.0569 data_time: 0.0033 memory: 809 2022/08/10 17:03:59 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:03 time: 0.0555 data_time: 0.0037 memory: 809 2022/08/10 17:04:00 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:02 time: 0.0545 data_time: 0.0036 memory: 809 2022/08/10 17:04:01 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:01 time: 0.0795 data_time: 0.0046 memory: 809 2022/08/10 17:04:02 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0549 data_time: 0.0039 memory: 809 2022/08/10 17:09:36 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.2527 2022/08/10 17:09:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2022/08/10 17:09:39 - mmengine - INFO - The best checkpoint with 0.2527 mAP/mAP@0.5IOU at 5 epoch is saved to best_mAP/mAP@0.5IOU_epoch_5.pth. 2022/08/10 17:09:51 - mmengine - INFO - Epoch(train) [5][20/3842] lr: 6.3965e-02 eta: 3:27:20 time: 0.5845 data_time: 0.0776 memory: 10484 grad_norm: 0.1602 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9635 recall@top3: 0.8542 prec@top3: 0.8333 recall@top5: 0.9375 prec@top5: 0.5500 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 17:10:03 - mmengine - INFO - Epoch(train) [5][40/3842] lr: 6.3911e-02 eta: 3:27:10 time: 0.5873 data_time: 0.0166 memory: 10484 grad_norm: 0.1590 recall@thr=0.5: 0.6049 prec@thr=0.5: 0.7315 recall@top3: 0.7160 prec@top3: 0.6543 recall@top5: 0.9167 prec@top5: 0.4963 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 17:10:13 - mmengine - INFO - Epoch(train) [5][60/3842] lr: 6.3856e-02 eta: 3:27:00 time: 0.5340 data_time: 0.0232 memory: 10484 grad_norm: 0.1613 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7792 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 17:10:23 - mmengine - INFO - Epoch(train) [5][80/3842] lr: 6.3802e-02 eta: 3:26:47 time: 0.4988 data_time: 0.0149 memory: 10484 grad_norm: 0.1712 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.7167 recall@top3: 0.8000 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 17:10:34 - mmengine - INFO - Epoch(train) [5][100/3842] lr: 6.3747e-02 eta: 3:26:36 time: 0.5217 data_time: 0.0156 memory: 10484 grad_norm: 0.1847 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7024 recall@top3: 0.8214 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 17:10:44 - mmengine - INFO - Epoch(train) [5][120/3842] lr: 6.3692e-02 eta: 3:26:25 time: 0.5323 data_time: 0.0163 memory: 10484 grad_norm: 0.1741 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.7333 recall@top3: 0.7539 prec@top3: 0.6471 recall@top5: 0.8314 prec@top5: 0.4471 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 17:10:55 - mmengine - INFO - Epoch(train) [5][140/3842] lr: 6.3637e-02 eta: 3:26:15 time: 0.5491 data_time: 0.0172 memory: 10484 grad_norm: 0.1640 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6667 recall@top3: 0.7540 prec@top3: 0.5873 recall@top5: 0.8730 prec@top5: 0.4095 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 17:11:05 - mmengine - INFO - Epoch(train) [5][160/3842] lr: 6.3582e-02 eta: 3:26:03 time: 0.5012 data_time: 0.0165 memory: 10484 grad_norm: 0.1628 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7798 recall@top3: 0.7440 prec@top3: 0.6429 recall@top5: 0.8869 prec@top5: 0.4643 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 17:11:17 - mmengine - INFO - Epoch(train) [5][180/3842] lr: 6.3527e-02 eta: 3:25:52 time: 0.5575 data_time: 0.0190 memory: 10484 grad_norm: 0.1552 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7833 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 0.9833 prec@top5: 0.4533 loss_action_cls: 0.0502 loss: 0.0502 2022/08/10 17:11:27 - mmengine - INFO - Epoch(train) [5][200/3842] lr: 6.3472e-02 eta: 3:25:41 time: 0.5288 data_time: 0.0178 memory: 10484 grad_norm: 0.1620 recall@thr=0.5: 0.7614 prec@thr=0.5: 0.7235 recall@top3: 0.8144 prec@top3: 0.6364 recall@top5: 0.9886 prec@top5: 0.4818 loss_action_cls: 0.0517 loss: 0.0517 2022/08/10 17:11:38 - mmengine - INFO - Epoch(train) [5][220/3842] lr: 6.3416e-02 eta: 3:25:31 time: 0.5552 data_time: 0.0175 memory: 10484 grad_norm: 0.1688 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.7000 recall@top3: 0.9167 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0476 loss: 0.0476 2022/08/10 17:11:49 - mmengine - INFO - Epoch(train) [5][240/3842] lr: 6.3361e-02 eta: 3:25:20 time: 0.5334 data_time: 0.0162 memory: 10484 grad_norm: 0.1727 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.5787 recall@top3: 0.6667 prec@top3: 0.6111 recall@top5: 0.8148 prec@top5: 0.4667 loss_action_cls: 0.0457 loss: 0.0457 2022/08/10 17:11:59 - mmengine - INFO - Epoch(train) [5][260/3842] lr: 6.3305e-02 eta: 3:25:08 time: 0.5006 data_time: 0.0196 memory: 10484 grad_norm: 0.1727 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.8437 recall@top3: 0.9062 prec@top3: 0.7292 recall@top5: 0.9635 prec@top5: 0.4750 loss_action_cls: 0.0497 loss: 0.0497 2022/08/10 17:12:09 - mmengine - INFO - Epoch(train) [5][280/3842] lr: 6.3250e-02 eta: 3:24:56 time: 0.5199 data_time: 0.0149 memory: 10484 grad_norm: 0.1578 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8462 recall@top3: 0.7692 prec@top3: 0.6410 recall@top5: 0.8590 prec@top5: 0.4615 loss_action_cls: 0.0457 loss: 0.0457 2022/08/10 17:12:21 - mmengine - INFO - Epoch(train) [5][300/3842] lr: 6.3194e-02 eta: 3:24:47 time: 0.5813 data_time: 0.0167 memory: 10484 grad_norm: 0.1703 recall@thr=0.5: 0.6633 prec@thr=0.5: 0.7708 recall@top3: 0.8800 prec@top3: 0.7333 recall@top5: 0.9525 prec@top5: 0.4800 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 17:12:31 - mmengine - INFO - Epoch(train) [5][320/3842] lr: 6.3138e-02 eta: 3:24:35 time: 0.5001 data_time: 0.0174 memory: 10484 grad_norm: 0.1682 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7284 recall@top3: 0.7963 prec@top3: 0.6296 recall@top5: 0.9074 prec@top5: 0.4296 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:12:42 - mmengine - INFO - Epoch(train) [5][340/3842] lr: 6.3082e-02 eta: 3:24:24 time: 0.5247 data_time: 0.0174 memory: 10484 grad_norm: 0.1661 recall@thr=0.5: 0.5067 prec@thr=0.5: 0.7767 recall@top3: 0.7500 prec@top3: 0.7067 recall@top5: 0.9267 prec@top5: 0.5360 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 17:12:52 - mmengine - INFO - Epoch(train) [5][360/3842] lr: 6.3026e-02 eta: 3:24:13 time: 0.5277 data_time: 0.0184 memory: 10484 grad_norm: 0.1687 recall@thr=0.5: 0.6268 prec@thr=0.5: 0.7826 recall@top3: 0.6848 prec@top3: 0.6812 recall@top5: 0.8478 prec@top5: 0.5043 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 17:13:03 - mmengine - INFO - Epoch(train) [5][380/3842] lr: 6.2970e-02 eta: 3:24:02 time: 0.5599 data_time: 0.0164 memory: 10484 grad_norm: 0.1568 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.7604 recall@top3: 0.7240 prec@top3: 0.5625 recall@top5: 0.8854 prec@top5: 0.4125 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:13:14 - mmengine - INFO - Epoch(train) [5][400/3842] lr: 6.2913e-02 eta: 3:23:51 time: 0.5387 data_time: 0.0179 memory: 10484 grad_norm: 0.1630 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6548 recall@top3: 0.7083 prec@top3: 0.5476 recall@top5: 0.8095 prec@top5: 0.3857 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 17:13:26 - mmengine - INFO - Epoch(train) [5][420/3842] lr: 6.2857e-02 eta: 3:23:42 time: 0.5987 data_time: 0.0262 memory: 10484 grad_norm: 0.1723 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6040 recall@top3: 0.6468 prec@top3: 0.4921 recall@top5: 0.8016 prec@top5: 0.3714 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 17:13:37 - mmengine - INFO - Epoch(train) [5][440/3842] lr: 6.2800e-02 eta: 3:23:31 time: 0.5307 data_time: 0.0176 memory: 10484 grad_norm: 0.1642 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.6875 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9271 prec@top5: 0.4250 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 17:13:47 - mmengine - INFO - Epoch(train) [5][460/3842] lr: 6.2744e-02 eta: 3:23:20 time: 0.5122 data_time: 0.0166 memory: 10484 grad_norm: 0.1661 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7179 recall@top3: 0.8718 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.4769 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 17:13:58 - mmengine - INFO - Epoch(train) [5][480/3842] lr: 6.2687e-02 eta: 3:23:09 time: 0.5359 data_time: 0.0178 memory: 10484 grad_norm: 0.1753 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.8056 recall@top3: 0.8889 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 17:14:08 - mmengine - INFO - Epoch(train) [5][500/3842] lr: 6.2630e-02 eta: 3:22:58 time: 0.5400 data_time: 0.0169 memory: 10484 grad_norm: 0.1585 recall@thr=0.5: 0.7308 prec@thr=0.5: 1.0000 recall@top3: 0.8718 prec@top3: 0.7949 recall@top5: 1.0000 prec@top5: 0.5692 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 17:14:19 - mmengine - INFO - Epoch(train) [5][520/3842] lr: 6.2573e-02 eta: 3:22:47 time: 0.5316 data_time: 0.0224 memory: 10484 grad_norm: 0.1655 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6406 recall@top3: 0.7240 prec@top3: 0.5833 recall@top5: 0.8802 prec@top5: 0.4500 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 17:14:30 - mmengine - INFO - Epoch(train) [5][540/3842] lr: 6.2516e-02 eta: 3:22:36 time: 0.5525 data_time: 0.0172 memory: 10484 grad_norm: 0.1786 recall@thr=0.5: 0.5774 prec@thr=0.5: 0.8333 recall@top3: 0.7202 prec@top3: 0.7619 recall@top5: 0.8452 prec@top5: 0.5429 loss_action_cls: 0.0471 loss: 0.0471 2022/08/10 17:14:43 - mmengine - INFO - Epoch(train) [5][560/3842] lr: 6.2459e-02 eta: 3:22:29 time: 0.6511 data_time: 0.0194 memory: 10484 grad_norm: 0.1700 recall@thr=0.5: 0.7618 prec@thr=0.5: 0.7396 recall@top3: 0.6924 prec@top3: 0.7639 recall@top5: 0.9208 prec@top5: 0.6083 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 17:14:53 - mmengine - INFO - Epoch(train) [5][580/3842] lr: 6.2402e-02 eta: 3:22:17 time: 0.5098 data_time: 0.0199 memory: 10484 grad_norm: 0.1674 recall@thr=0.5: 0.8442 prec@thr=0.5: 0.9058 recall@top3: 0.9130 prec@top3: 0.7536 recall@top5: 0.9457 prec@top5: 0.4783 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 17:15:04 - mmengine - INFO - Epoch(train) [5][600/3842] lr: 6.2344e-02 eta: 3:22:06 time: 0.5299 data_time: 0.0167 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8444 recall@top3: 0.8333 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.4667 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 17:15:14 - mmengine - INFO - Epoch(train) [5][620/3842] lr: 6.2287e-02 eta: 3:21:54 time: 0.4995 data_time: 0.0193 memory: 10484 grad_norm: 0.1697 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.7549 recall@top3: 0.6176 prec@top3: 0.6471 recall@top5: 0.8922 prec@top5: 0.5529 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 17:15:20 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 17:15:24 - mmengine - INFO - Epoch(train) [5][640/3842] lr: 6.2229e-02 eta: 3:21:43 time: 0.5223 data_time: 0.0137 memory: 10484 grad_norm: 0.1661 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.9643 recall@top3: 0.9107 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0521 loss: 0.0521 2022/08/10 17:15:35 - mmengine - INFO - Epoch(train) [5][660/3842] lr: 6.2172e-02 eta: 3:21:32 time: 0.5234 data_time: 0.0188 memory: 10484 grad_norm: 0.1741 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.7105 recall@top3: 0.8728 prec@top3: 0.6842 recall@top5: 0.9605 prec@top5: 0.4526 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 17:15:45 - mmengine - INFO - Epoch(train) [5][680/3842] lr: 6.2114e-02 eta: 3:21:20 time: 0.5255 data_time: 0.0164 memory: 10484 grad_norm: 0.1586 recall@thr=0.5: 0.6703 prec@thr=0.5: 0.8116 recall@top3: 0.7500 prec@top3: 0.6377 recall@top5: 0.9783 prec@top5: 0.4870 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 17:15:56 - mmengine - INFO - Epoch(train) [5][700/3842] lr: 6.2056e-02 eta: 3:21:09 time: 0.5219 data_time: 0.0180 memory: 10484 grad_norm: 0.1664 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.6429 recall@top3: 0.7738 prec@top3: 0.4762 recall@top5: 0.8333 prec@top5: 0.3143 loss_action_cls: 0.0509 loss: 0.0509 2022/08/10 17:16:06 - mmengine - INFO - Epoch(train) [5][720/3842] lr: 6.1998e-02 eta: 3:20:58 time: 0.5259 data_time: 0.0162 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8333 recall@top3: 0.7708 prec@top3: 0.6875 recall@top5: 0.9187 prec@top5: 0.5000 loss_action_cls: 0.0452 loss: 0.0452 2022/08/10 17:16:19 - mmengine - INFO - Epoch(train) [5][740/3842] lr: 6.1940e-02 eta: 3:20:50 time: 0.6363 data_time: 0.0200 memory: 10484 grad_norm: 0.1605 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.7536 recall@top3: 0.6717 prec@top3: 0.6812 recall@top5: 0.8341 prec@top5: 0.4957 loss_action_cls: 0.0516 loss: 0.0516 2022/08/10 17:16:30 - mmengine - INFO - Epoch(train) [5][760/3842] lr: 6.1882e-02 eta: 3:20:39 time: 0.5312 data_time: 0.0155 memory: 10484 grad_norm: 0.1657 recall@thr=0.5: 0.4909 prec@thr=0.5: 0.5731 recall@top3: 0.5661 prec@top3: 0.5376 recall@top5: 0.8516 prec@top5: 0.4452 loss_action_cls: 0.0517 loss: 0.0517 2022/08/10 17:16:42 - mmengine - INFO - Epoch(train) [5][780/3842] lr: 6.1823e-02 eta: 3:20:30 time: 0.6082 data_time: 0.0207 memory: 10484 grad_norm: 0.1774 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.6282 recall@top3: 0.8205 prec@top3: 0.4359 recall@top5: 0.9423 prec@top5: 0.3538 loss_action_cls: 0.0488 loss: 0.0488 2022/08/10 17:16:56 - mmengine - INFO - Epoch(train) [5][800/3842] lr: 6.1765e-02 eta: 3:20:23 time: 0.6908 data_time: 0.0254 memory: 10484 grad_norm: 0.1614 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.8144 recall@top3: 0.7614 prec@top3: 0.7424 recall@top5: 0.9394 prec@top5: 0.5636 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 17:17:06 - mmengine - INFO - Epoch(train) [5][820/3842] lr: 6.1706e-02 eta: 3:20:11 time: 0.4979 data_time: 0.0161 memory: 10484 grad_norm: 0.1699 recall@thr=0.5: 0.8722 prec@thr=0.5: 0.7400 recall@top3: 0.8611 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0578 loss: 0.0578 2022/08/10 17:17:16 - mmengine - INFO - Epoch(train) [5][840/3842] lr: 6.1648e-02 eta: 3:20:00 time: 0.5235 data_time: 0.0153 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.6452 prec@thr=0.5: 0.6786 recall@top3: 0.6571 prec@top3: 0.5714 recall@top5: 0.9095 prec@top5: 0.4857 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 17:17:27 - mmengine - INFO - Epoch(train) [5][860/3842] lr: 6.1589e-02 eta: 3:19:49 time: 0.5253 data_time: 0.0170 memory: 10484 grad_norm: 0.1550 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7153 recall@top3: 0.8611 prec@top3: 0.6667 recall@top5: 0.9792 prec@top5: 0.4833 loss_action_cls: 0.0464 loss: 0.0464 2022/08/10 17:17:37 - mmengine - INFO - Epoch(train) [5][880/3842] lr: 6.1530e-02 eta: 3:19:37 time: 0.4997 data_time: 0.0187 memory: 10484 grad_norm: 0.1643 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6667 recall@top3: 0.7444 prec@top3: 0.6000 recall@top5: 0.9444 prec@top5: 0.4933 loss_action_cls: 0.0467 loss: 0.0467 2022/08/10 17:17:47 - mmengine - INFO - Epoch(train) [5][900/3842] lr: 6.1471e-02 eta: 3:19:25 time: 0.5227 data_time: 0.0141 memory: 10484 grad_norm: 0.1670 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8333 recall@top3: 0.7889 prec@top3: 0.8148 recall@top5: 0.8944 prec@top5: 0.5667 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 17:17:58 - mmengine - INFO - Epoch(train) [5][920/3842] lr: 6.1412e-02 eta: 3:19:15 time: 0.5491 data_time: 0.0177 memory: 10484 grad_norm: 0.1647 recall@thr=0.5: 0.7181 prec@thr=0.5: 0.8194 recall@top3: 0.7347 prec@top3: 0.7778 recall@top5: 0.8208 prec@top5: 0.5167 loss_action_cls: 0.0471 loss: 0.0471 2022/08/10 17:18:14 - mmengine - INFO - Epoch(train) [5][940/3842] lr: 6.1353e-02 eta: 3:19:11 time: 0.7957 data_time: 0.0182 memory: 10484 grad_norm: 0.1623 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8333 recall@top3: 0.8750 prec@top3: 0.7778 recall@top5: 0.9583 prec@top5: 0.5167 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 17:18:24 - mmengine - INFO - Epoch(train) [5][960/3842] lr: 6.1294e-02 eta: 3:18:59 time: 0.5077 data_time: 0.0168 memory: 10484 grad_norm: 0.1676 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.8431 recall@top3: 0.8137 prec@top3: 0.7647 recall@top5: 0.9412 prec@top5: 0.5529 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 17:18:37 - mmengine - INFO - Epoch(train) [5][980/3842] lr: 6.1235e-02 eta: 3:18:51 time: 0.6444 data_time: 0.0188 memory: 10484 grad_norm: 0.1748 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7222 recall@top3: 0.7000 prec@top3: 0.4889 recall@top5: 0.8222 prec@top5: 0.3467 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 17:18:48 - mmengine - INFO - Epoch(train) [5][1000/3842] lr: 6.1175e-02 eta: 3:18:40 time: 0.5332 data_time: 0.0174 memory: 10484 grad_norm: 0.1622 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7619 recall@top3: 0.7143 prec@top3: 0.5952 recall@top5: 0.8750 prec@top5: 0.4429 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 17:18:58 - mmengine - INFO - Epoch(train) [5][1020/3842] lr: 6.1116e-02 eta: 3:18:29 time: 0.5354 data_time: 0.0168 memory: 10484 grad_norm: 0.1718 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8690 recall@top3: 0.7619 prec@top3: 0.5238 recall@top5: 0.8690 prec@top5: 0.3714 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 17:19:08 - mmengine - INFO - Epoch(train) [5][1040/3842] lr: 6.1056e-02 eta: 3:18:17 time: 0.4995 data_time: 0.0171 memory: 10484 grad_norm: 0.1687 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.6615 recall@top3: 0.7292 prec@top3: 0.6667 recall@top5: 0.8281 prec@top5: 0.4500 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 17:19:19 - mmengine - INFO - Epoch(train) [5][1060/3842] lr: 6.0997e-02 eta: 3:18:06 time: 0.5232 data_time: 0.0149 memory: 10484 grad_norm: 0.1700 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8144 recall@top3: 0.8333 prec@top3: 0.7273 recall@top5: 0.9697 prec@top5: 0.5182 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 17:19:29 - mmengine - INFO - Epoch(train) [5][1080/3842] lr: 6.0937e-02 eta: 3:17:54 time: 0.5066 data_time: 0.0171 memory: 10484 grad_norm: 0.1717 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6905 recall@top3: 0.7619 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0471 loss: 0.0471 2022/08/10 17:19:42 - mmengine - INFO - Epoch(train) [5][1100/3842] lr: 6.0877e-02 eta: 3:17:47 time: 0.6631 data_time: 0.0213 memory: 10484 grad_norm: 0.1623 recall@thr=0.5: 0.9048 prec@thr=0.5: 0.8540 recall@top3: 0.8413 prec@top3: 0.7937 recall@top5: 1.0000 prec@top5: 0.5810 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 17:19:52 - mmengine - INFO - Epoch(train) [5][1120/3842] lr: 6.0817e-02 eta: 3:17:35 time: 0.5098 data_time: 0.0166 memory: 10484 grad_norm: 0.1725 recall@thr=0.5: 0.8244 prec@thr=0.5: 0.8185 recall@top3: 0.8482 prec@top3: 0.7738 recall@top5: 0.9554 prec@top5: 0.5286 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 17:20:05 - mmengine - INFO - Epoch(train) [5][1140/3842] lr: 6.0757e-02 eta: 3:17:27 time: 0.6439 data_time: 0.0184 memory: 10484 grad_norm: 0.1845 recall@thr=0.5: 0.6351 prec@thr=0.5: 0.5088 recall@top3: 0.6614 prec@top3: 0.5088 recall@top5: 0.7596 prec@top5: 0.3684 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 17:20:15 - mmengine - INFO - Epoch(train) [5][1160/3842] lr: 6.0697e-02 eta: 3:17:15 time: 0.5058 data_time: 0.0182 memory: 10484 grad_norm: 0.1706 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9306 recall@top3: 0.9815 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.3556 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:20:26 - mmengine - INFO - Epoch(train) [5][1180/3842] lr: 6.0636e-02 eta: 3:17:04 time: 0.5244 data_time: 0.0174 memory: 10484 grad_norm: 0.1715 recall@thr=0.5: 0.5735 prec@thr=0.5: 0.8137 recall@top3: 0.7206 prec@top3: 0.8039 recall@top5: 0.9569 prec@top5: 0.6706 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 17:20:38 - mmengine - INFO - Epoch(train) [5][1200/3842] lr: 6.0576e-02 eta: 3:16:55 time: 0.6051 data_time: 0.0195 memory: 10484 grad_norm: 0.1775 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8526 recall@top3: 0.8462 prec@top3: 0.6154 recall@top5: 0.8718 prec@top5: 0.3846 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 17:20:48 - mmengine - INFO - Epoch(train) [5][1220/3842] lr: 6.0516e-02 eta: 3:16:43 time: 0.5053 data_time: 0.0204 memory: 10484 grad_norm: 0.1757 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.8462 recall@top3: 0.7949 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 17:20:59 - mmengine - INFO - Epoch(train) [5][1240/3842] lr: 6.0455e-02 eta: 3:16:32 time: 0.5296 data_time: 0.0189 memory: 10484 grad_norm: 0.1704 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.8676 recall@top3: 0.8529 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 17:21:09 - mmengine - INFO - Epoch(train) [5][1260/3842] lr: 6.0394e-02 eta: 3:16:21 time: 0.5317 data_time: 0.0173 memory: 10484 grad_norm: 0.1584 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8182 recall@top3: 0.8674 prec@top3: 0.7879 recall@top5: 0.9091 prec@top5: 0.5000 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 17:21:20 - mmengine - INFO - Epoch(train) [5][1280/3842] lr: 6.0334e-02 eta: 3:16:11 time: 0.5488 data_time: 0.0168 memory: 10484 grad_norm: 0.1677 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8148 recall@top3: 0.8148 prec@top3: 0.5185 recall@top5: 0.8889 prec@top5: 0.3556 loss_action_cls: 0.0475 loss: 0.0475 2022/08/10 17:21:32 - mmengine - INFO - Epoch(train) [5][1300/3842] lr: 6.0273e-02 eta: 3:16:01 time: 0.5709 data_time: 0.0203 memory: 10484 grad_norm: 0.1868 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.7396 recall@top3: 0.7760 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 17:21:45 - mmengine - INFO - Epoch(train) [5][1320/3842] lr: 6.0212e-02 eta: 3:15:53 time: 0.6745 data_time: 0.0140 memory: 10484 grad_norm: 0.1619 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.6889 recall@top3: 0.7167 prec@top3: 0.7333 recall@top5: 0.9056 prec@top5: 0.5200 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 17:21:58 - mmengine - INFO - Epoch(train) [5][1340/3842] lr: 6.0151e-02 eta: 3:15:46 time: 0.6668 data_time: 0.0201 memory: 10484 grad_norm: 0.1741 recall@thr=0.5: 0.4630 prec@thr=0.5: 0.3889 recall@top3: 0.6296 prec@top3: 0.4444 recall@top5: 0.8333 prec@top5: 0.3778 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 17:22:09 - mmengine - INFO - Epoch(train) [5][1360/3842] lr: 6.0090e-02 eta: 3:15:34 time: 0.5248 data_time: 0.0154 memory: 10484 grad_norm: 0.1732 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6250 recall@top3: 0.6667 prec@top3: 0.5000 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 17:22:20 - mmengine - INFO - Epoch(train) [5][1380/3842] lr: 6.0028e-02 eta: 3:15:24 time: 0.5642 data_time: 0.0516 memory: 10484 grad_norm: 0.1669 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7143 recall@top3: 0.8095 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.4714 loss_action_cls: 0.0485 loss: 0.0485 2022/08/10 17:22:30 - mmengine - INFO - Epoch(train) [5][1400/3842] lr: 5.9967e-02 eta: 3:15:12 time: 0.4984 data_time: 0.0164 memory: 10484 grad_norm: 0.1728 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7944 recall@top3: 0.8000 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.5467 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 17:22:41 - mmengine - INFO - Epoch(train) [5][1420/3842] lr: 5.9906e-02 eta: 3:15:01 time: 0.5196 data_time: 0.0146 memory: 10484 grad_norm: 0.1634 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.8426 recall@top3: 0.9722 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4333 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 17:22:52 - mmengine - INFO - Epoch(train) [5][1440/3842] lr: 5.9844e-02 eta: 3:14:51 time: 0.5551 data_time: 0.0173 memory: 10484 grad_norm: 0.1668 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.8000 recall@top3: 0.7222 prec@top3: 0.5333 recall@top5: 0.9111 prec@top5: 0.4400 loss_action_cls: 0.0475 loss: 0.0475 2022/08/10 17:23:03 - mmengine - INFO - Epoch(train) [5][1460/3842] lr: 5.9782e-02 eta: 3:14:40 time: 0.5377 data_time: 0.0205 memory: 10484 grad_norm: 0.1655 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.7045 recall@top3: 0.8182 prec@top3: 0.4848 recall@top5: 0.9091 prec@top5: 0.3273 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 17:23:13 - mmengine - INFO - Epoch(train) [5][1480/3842] lr: 5.9721e-02 eta: 3:14:29 time: 0.5453 data_time: 0.0179 memory: 10484 grad_norm: 0.1671 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.9231 recall@top3: 0.8333 prec@top3: 0.6154 recall@top5: 0.8718 prec@top5: 0.4000 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:23:24 - mmengine - INFO - Epoch(train) [5][1500/3842] lr: 5.9659e-02 eta: 3:14:18 time: 0.5233 data_time: 0.0169 memory: 10484 grad_norm: 0.1714 recall@thr=0.5: 0.7294 prec@thr=0.5: 0.9412 recall@top3: 0.8216 prec@top3: 0.8627 recall@top5: 0.9373 prec@top5: 0.6235 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 17:23:36 - mmengine - INFO - Epoch(train) [5][1520/3842] lr: 5.9597e-02 eta: 3:14:08 time: 0.5891 data_time: 0.0204 memory: 10484 grad_norm: 0.1708 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.8013 recall@top3: 0.7949 prec@top3: 0.8205 recall@top5: 0.9359 prec@top5: 0.5846 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 17:23:46 - mmengine - INFO - Epoch(train) [5][1540/3842] lr: 5.9535e-02 eta: 3:13:57 time: 0.5222 data_time: 0.0179 memory: 10484 grad_norm: 0.1751 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8816 recall@top3: 0.8333 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.5684 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 17:23:56 - mmengine - INFO - Epoch(train) [5][1560/3842] lr: 5.9473e-02 eta: 3:13:45 time: 0.5070 data_time: 0.0183 memory: 10484 grad_norm: 0.1812 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7600 recall@top3: 0.8467 prec@top3: 0.7467 recall@top5: 0.9733 prec@top5: 0.5120 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 17:24:07 - mmengine - INFO - Epoch(train) [5][1580/3842] lr: 5.9411e-02 eta: 3:13:34 time: 0.5275 data_time: 0.0194 memory: 10484 grad_norm: 0.1600 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7738 recall@top3: 0.6577 prec@top3: 0.6905 recall@top5: 0.8690 prec@top5: 0.5643 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 17:24:18 - mmengine - INFO - Epoch(train) [5][1600/3842] lr: 5.9349e-02 eta: 3:13:23 time: 0.5514 data_time: 0.0181 memory: 10484 grad_norm: 0.1650 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.7278 recall@top3: 0.8111 prec@top3: 0.6667 recall@top5: 0.9611 prec@top5: 0.4400 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 17:24:28 - mmengine - INFO - Epoch(train) [5][1620/3842] lr: 5.9286e-02 eta: 3:13:12 time: 0.5056 data_time: 0.0197 memory: 10484 grad_norm: 0.1691 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8529 recall@top3: 0.7500 prec@top3: 0.6078 recall@top5: 0.8971 prec@top5: 0.4588 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 17:24:34 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 17:24:38 - mmengine - INFO - Epoch(train) [5][1640/3842] lr: 5.9224e-02 eta: 3:13:01 time: 0.5283 data_time: 0.0173 memory: 10484 grad_norm: 0.1697 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.7692 recall@top3: 0.7756 prec@top3: 0.6923 recall@top5: 0.9103 prec@top5: 0.5077 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 17:24:50 - mmengine - INFO - Epoch(train) [5][1660/3842] lr: 5.9161e-02 eta: 3:12:50 time: 0.5595 data_time: 0.0605 memory: 10484 grad_norm: 0.1665 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8922 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4353 loss_action_cls: 0.0450 loss: 0.0450 2022/08/10 17:25:00 - mmengine - INFO - Epoch(train) [5][1680/3842] lr: 5.9099e-02 eta: 3:12:39 time: 0.5330 data_time: 0.0222 memory: 10484 grad_norm: 0.1610 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.8393 recall@top3: 0.7679 prec@top3: 0.7143 recall@top5: 0.9107 prec@top5: 0.5286 loss_action_cls: 0.0467 loss: 0.0467 2022/08/10 17:25:10 - mmengine - INFO - Epoch(train) [5][1700/3842] lr: 5.9036e-02 eta: 3:12:27 time: 0.5026 data_time: 0.0159 memory: 10484 grad_norm: 0.1729 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8860 recall@top3: 0.8509 prec@top3: 0.7719 recall@top5: 0.9518 prec@top5: 0.5368 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 17:25:21 - mmengine - INFO - Epoch(train) [5][1720/3842] lr: 5.8973e-02 eta: 3:12:17 time: 0.5473 data_time: 0.0177 memory: 10484 grad_norm: 0.1617 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9167 recall@top3: 0.9167 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.3833 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 17:25:35 - mmengine - INFO - Epoch(train) [5][1740/3842] lr: 5.8910e-02 eta: 3:12:09 time: 0.6640 data_time: 0.0531 memory: 10484 grad_norm: 0.1712 recall@thr=0.5: 0.6716 prec@thr=0.5: 0.7882 recall@top3: 0.6422 prec@top3: 0.6078 recall@top5: 0.8431 prec@top5: 0.4588 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 17:25:45 - mmengine - INFO - Epoch(train) [5][1760/3842] lr: 5.8847e-02 eta: 3:11:57 time: 0.5036 data_time: 0.0158 memory: 10484 grad_norm: 0.1683 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8523 recall@top3: 0.8045 prec@top3: 0.7576 recall@top5: 0.9341 prec@top5: 0.5273 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 17:25:55 - mmengine - INFO - Epoch(train) [5][1780/3842] lr: 5.8784e-02 eta: 3:11:46 time: 0.5166 data_time: 0.0173 memory: 10484 grad_norm: 0.1638 recall@thr=0.5: 0.8136 prec@thr=0.5: 0.7462 recall@top3: 0.8114 prec@top3: 0.6818 recall@top5: 0.9682 prec@top5: 0.5091 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 17:26:05 - mmengine - INFO - Epoch(train) [5][1800/3842] lr: 5.8721e-02 eta: 3:11:34 time: 0.5001 data_time: 0.0177 memory: 10484 grad_norm: 0.1693 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.8551 recall@top3: 0.7826 prec@top3: 0.6812 recall@top5: 0.8333 prec@top5: 0.4348 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 17:26:16 - mmengine - INFO - Epoch(train) [5][1820/3842] lr: 5.8658e-02 eta: 3:11:23 time: 0.5384 data_time: 0.0156 memory: 10484 grad_norm: 0.1798 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9038 recall@top3: 0.8910 prec@top3: 0.8462 recall@top5: 0.9744 prec@top5: 0.5692 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 17:26:26 - mmengine - INFO - Epoch(train) [5][1840/3842] lr: 5.8594e-02 eta: 3:11:11 time: 0.5019 data_time: 0.0194 memory: 10484 grad_norm: 0.1736 recall@thr=0.5: 0.4936 prec@thr=0.5: 0.5962 recall@top3: 0.6410 prec@top3: 0.6923 recall@top5: 0.8397 prec@top5: 0.5692 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 17:26:37 - mmengine - INFO - Epoch(train) [5][1860/3842] lr: 5.8531e-02 eta: 3:11:01 time: 0.5476 data_time: 0.0174 memory: 10484 grad_norm: 0.1599 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7431 recall@top3: 0.7917 prec@top3: 0.5556 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0498 loss: 0.0498 2022/08/10 17:26:48 - mmengine - INFO - Epoch(train) [5][1880/3842] lr: 5.8468e-02 eta: 3:10:50 time: 0.5408 data_time: 0.0177 memory: 10484 grad_norm: 0.1700 recall@thr=0.5: 0.9286 prec@thr=0.5: 0.9524 recall@top3: 0.9762 prec@top3: 0.7857 recall@top5: 0.9762 prec@top5: 0.4714 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 17:26:58 - mmengine - INFO - Epoch(train) [5][1900/3842] lr: 5.8404e-02 eta: 3:10:39 time: 0.5381 data_time: 0.0190 memory: 10484 grad_norm: 0.1664 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8472 recall@top3: 0.8056 prec@top3: 0.7361 recall@top5: 0.9583 prec@top5: 0.5333 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 17:27:10 - mmengine - INFO - Epoch(train) [5][1920/3842] lr: 5.8340e-02 eta: 3:10:29 time: 0.5636 data_time: 0.0184 memory: 10484 grad_norm: 0.1695 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.6923 recall@top3: 0.7212 prec@top3: 0.6026 recall@top5: 0.9359 prec@top5: 0.4846 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 17:27:21 - mmengine - INFO - Epoch(train) [5][1940/3842] lr: 5.8276e-02 eta: 3:10:19 time: 0.5717 data_time: 0.0226 memory: 10484 grad_norm: 0.1866 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6667 recall@top3: 0.6607 prec@top3: 0.5714 recall@top5: 0.8512 prec@top5: 0.4286 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 17:27:34 - mmengine - INFO - Epoch(train) [5][1960/3842] lr: 5.8213e-02 eta: 3:10:10 time: 0.6427 data_time: 0.0182 memory: 10484 grad_norm: 0.1669 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7778 recall@top3: 0.7611 prec@top3: 0.5333 recall@top5: 0.9833 prec@top5: 0.4400 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 17:27:44 - mmengine - INFO - Epoch(train) [5][1980/3842] lr: 5.8149e-02 eta: 3:09:59 time: 0.5254 data_time: 0.0181 memory: 10484 grad_norm: 0.1680 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7000 recall@top3: 0.8333 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.3733 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:27:57 - mmengine - INFO - Epoch(train) [5][2000/3842] lr: 5.8085e-02 eta: 3:09:50 time: 0.6049 data_time: 0.0176 memory: 10484 grad_norm: 0.1640 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.8646 recall@top3: 0.7604 prec@top3: 0.6042 recall@top5: 0.9844 prec@top5: 0.5000 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 17:28:07 - mmengine - INFO - Epoch(train) [5][2020/3842] lr: 5.8021e-02 eta: 3:09:38 time: 0.5015 data_time: 0.0175 memory: 10484 grad_norm: 0.1671 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6818 recall@top3: 0.8333 prec@top3: 0.5758 recall@top5: 0.9697 prec@top5: 0.4000 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 17:28:17 - mmengine - INFO - Epoch(train) [5][2040/3842] lr: 5.7956e-02 eta: 3:09:27 time: 0.5252 data_time: 0.0185 memory: 10484 grad_norm: 0.1725 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6481 recall@top3: 0.8333 prec@top3: 0.7037 recall@top5: 0.8611 prec@top5: 0.4444 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 17:28:29 - mmengine - INFO - Epoch(train) [5][2060/3842] lr: 5.7892e-02 eta: 3:09:17 time: 0.5968 data_time: 0.0170 memory: 10484 grad_norm: 0.1644 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7604 recall@top3: 0.6875 prec@top3: 0.6667 recall@top5: 0.9479 prec@top5: 0.5125 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 17:28:40 - mmengine - INFO - Epoch(train) [5][2080/3842] lr: 5.7828e-02 eta: 3:09:06 time: 0.5313 data_time: 0.0230 memory: 10484 grad_norm: 0.1620 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.8095 recall@top3: 0.8730 prec@top3: 0.7778 recall@top5: 0.9524 prec@top5: 0.5238 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 17:28:50 - mmengine - INFO - Epoch(train) [5][2100/3842] lr: 5.7763e-02 eta: 3:08:55 time: 0.5047 data_time: 0.0162 memory: 10484 grad_norm: 0.1591 recall@thr=0.5: 0.9325 prec@thr=0.5: 0.7381 recall@top3: 0.9762 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0485 loss: 0.0485 2022/08/10 17:29:00 - mmengine - INFO - Epoch(train) [5][2120/3842] lr: 5.7699e-02 eta: 3:08:44 time: 0.5361 data_time: 0.0170 memory: 10484 grad_norm: 0.1647 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5833 recall@top3: 0.5694 prec@top3: 0.5278 recall@top5: 0.9583 prec@top5: 0.4667 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 17:29:10 - mmengine - INFO - Epoch(train) [5][2140/3842] lr: 5.7634e-02 eta: 3:08:32 time: 0.4977 data_time: 0.0176 memory: 10484 grad_norm: 0.1649 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9537 recall@top3: 0.9167 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 17:29:21 - mmengine - INFO - Epoch(train) [5][2160/3842] lr: 5.7569e-02 eta: 3:08:21 time: 0.5250 data_time: 0.0152 memory: 10484 grad_norm: 0.1706 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.8444 recall@top3: 0.9667 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 17:29:37 - mmengine - INFO - Epoch(train) [5][2180/3842] lr: 5.7504e-02 eta: 3:08:17 time: 0.8282 data_time: 0.0172 memory: 10484 grad_norm: 0.1701 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7917 recall@top3: 0.8125 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4625 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 17:29:48 - mmengine - INFO - Epoch(train) [5][2200/3842] lr: 5.7440e-02 eta: 3:08:05 time: 0.5260 data_time: 0.0166 memory: 10484 grad_norm: 0.1737 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.9231 recall@top3: 0.7564 prec@top3: 0.6154 recall@top5: 0.9808 prec@top5: 0.4769 loss_action_cls: 0.0446 loss: 0.0446 2022/08/10 17:29:58 - mmengine - INFO - Epoch(train) [5][2220/3842] lr: 5.7375e-02 eta: 3:07:54 time: 0.5233 data_time: 0.0191 memory: 10484 grad_norm: 0.1770 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7083 recall@top3: 0.8250 prec@top3: 0.6667 recall@top5: 0.9417 prec@top5: 0.4800 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 17:30:09 - mmengine - INFO - Epoch(train) [5][2240/3842] lr: 5.7310e-02 eta: 3:07:43 time: 0.5221 data_time: 0.0180 memory: 10484 grad_norm: 0.1666 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7143 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.9762 prec@top5: 0.3857 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 17:30:26 - mmengine - INFO - Epoch(train) [5][2260/3842] lr: 5.7244e-02 eta: 3:07:39 time: 0.8371 data_time: 0.0275 memory: 10484 grad_norm: 0.1743 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9556 recall@top3: 0.8111 prec@top3: 0.7111 recall@top5: 0.9167 prec@top5: 0.4933 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 17:30:39 - mmengine - INFO - Epoch(train) [5][2280/3842] lr: 5.7179e-02 eta: 3:07:31 time: 0.6677 data_time: 0.0178 memory: 10484 grad_norm: 0.1781 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.8125 recall@top3: 0.6979 prec@top3: 0.5833 recall@top5: 0.9844 prec@top5: 0.5250 loss_action_cls: 0.0449 loss: 0.0449 2022/08/10 17:30:50 - mmengine - INFO - Epoch(train) [5][2300/3842] lr: 5.7114e-02 eta: 3:07:20 time: 0.5358 data_time: 0.0194 memory: 10484 grad_norm: 0.1729 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.9394 recall@top3: 0.8182 prec@top3: 0.6061 recall@top5: 0.9318 prec@top5: 0.4545 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 17:31:00 - mmengine - INFO - Epoch(train) [5][2320/3842] lr: 5.7049e-02 eta: 3:07:09 time: 0.5360 data_time: 0.0179 memory: 10484 grad_norm: 0.1737 recall@thr=0.5: 0.6556 prec@thr=0.5: 1.0000 recall@top3: 0.9111 prec@top3: 0.8889 recall@top5: 0.9333 prec@top5: 0.5467 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 17:31:12 - mmengine - INFO - Epoch(train) [5][2340/3842] lr: 5.6983e-02 eta: 3:06:59 time: 0.5708 data_time: 0.0189 memory: 10484 grad_norm: 0.1629 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.7056 recall@top3: 0.7767 prec@top3: 0.7111 recall@top5: 0.8967 prec@top5: 0.5200 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 17:31:22 - mmengine - INFO - Epoch(train) [5][2360/3842] lr: 5.6918e-02 eta: 3:06:48 time: 0.5166 data_time: 0.0232 memory: 10484 grad_norm: 0.1646 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7917 recall@top3: 0.7917 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 17:31:33 - mmengine - INFO - Epoch(train) [5][2380/3842] lr: 5.6852e-02 eta: 3:06:37 time: 0.5314 data_time: 0.0182 memory: 10484 grad_norm: 0.1841 recall@thr=0.5: 0.8143 prec@thr=0.5: 0.5714 recall@top3: 0.7714 prec@top3: 0.5000 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 17:31:44 - mmengine - INFO - Epoch(train) [5][2400/3842] lr: 5.6786e-02 eta: 3:06:26 time: 0.5431 data_time: 0.0228 memory: 10484 grad_norm: 0.1653 recall@thr=0.5: 0.7885 prec@thr=0.5: 0.9231 recall@top3: 0.8077 prec@top3: 0.8205 recall@top5: 1.0000 prec@top5: 0.6308 loss_action_cls: 0.0496 loss: 0.0496 2022/08/10 17:31:54 - mmengine - INFO - Epoch(train) [5][2420/3842] lr: 5.6720e-02 eta: 3:06:14 time: 0.5040 data_time: 0.0186 memory: 10484 grad_norm: 0.1700 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.8796 recall@top3: 0.7361 prec@top3: 0.7407 recall@top5: 0.8981 prec@top5: 0.5444 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 17:32:05 - mmengine - INFO - Epoch(train) [5][2440/3842] lr: 5.6655e-02 eta: 3:06:03 time: 0.5375 data_time: 0.0234 memory: 10484 grad_norm: 0.1699 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.5833 recall@top3: 0.7083 prec@top3: 0.4583 recall@top5: 0.9375 prec@top5: 0.3500 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:32:16 - mmengine - INFO - Epoch(train) [5][2460/3842] lr: 5.6589e-02 eta: 3:05:53 time: 0.5523 data_time: 0.0189 memory: 10484 grad_norm: 0.1631 recall@thr=0.5: 0.4938 prec@thr=0.5: 0.8542 recall@top3: 0.6604 prec@top3: 0.6458 recall@top5: 0.8667 prec@top5: 0.5250 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 17:32:26 - mmengine - INFO - Epoch(train) [5][2480/3842] lr: 5.6523e-02 eta: 3:05:41 time: 0.5281 data_time: 0.0161 memory: 10484 grad_norm: 0.1712 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6759 recall@top3: 0.6000 prec@top3: 0.6481 recall@top5: 0.8130 prec@top5: 0.5444 loss_action_cls: 0.0533 loss: 0.0533 2022/08/10 17:32:37 - mmengine - INFO - Epoch(train) [5][2500/3842] lr: 5.6457e-02 eta: 3:05:31 time: 0.5526 data_time: 0.0182 memory: 10484 grad_norm: 0.1796 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7500 recall@top3: 0.7037 prec@top3: 0.6296 recall@top5: 0.8426 prec@top5: 0.4556 loss_action_cls: 0.0452 loss: 0.0452 2022/08/10 17:32:47 - mmengine - INFO - Epoch(train) [5][2520/3842] lr: 5.6390e-02 eta: 3:05:19 time: 0.5075 data_time: 0.0222 memory: 10484 grad_norm: 0.1677 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8596 recall@top3: 0.8772 prec@top3: 0.7719 recall@top5: 0.9868 prec@top5: 0.5368 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 17:33:01 - mmengine - INFO - Epoch(train) [5][2540/3842] lr: 5.6324e-02 eta: 3:05:11 time: 0.6596 data_time: 0.0203 memory: 10484 grad_norm: 0.1707 recall@thr=0.5: 0.8009 prec@thr=0.5: 0.9306 recall@top3: 0.9306 prec@top3: 0.8148 recall@top5: 0.9861 prec@top5: 0.5111 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 17:33:13 - mmengine - INFO - Epoch(train) [5][2560/3842] lr: 5.6258e-02 eta: 3:05:02 time: 0.6262 data_time: 0.0201 memory: 10484 grad_norm: 0.1738 recall@thr=0.5: 0.5799 prec@thr=0.5: 0.7118 recall@top3: 0.5799 prec@top3: 0.5833 recall@top5: 0.8438 prec@top5: 0.5083 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 17:33:24 - mmengine - INFO - Epoch(train) [5][2580/3842] lr: 5.6191e-02 eta: 3:04:51 time: 0.5428 data_time: 0.0185 memory: 10484 grad_norm: 0.1732 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7105 recall@top3: 0.8246 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 17:33:34 - mmengine - INFO - Epoch(train) [5][2600/3842] lr: 5.6125e-02 eta: 3:04:40 time: 0.5051 data_time: 0.0174 memory: 10484 grad_norm: 0.1720 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7763 recall@top3: 0.8596 prec@top3: 0.7719 recall@top5: 0.9737 prec@top5: 0.5368 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 17:33:45 - mmengine - INFO - Epoch(train) [5][2620/3842] lr: 5.6058e-02 eta: 3:04:29 time: 0.5262 data_time: 0.0173 memory: 10484 grad_norm: 0.1674 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8056 recall@top3: 0.7738 prec@top3: 0.7460 recall@top5: 0.9365 prec@top5: 0.5524 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 17:33:53 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 17:33:57 - mmengine - INFO - Epoch(train) [5][2640/3842] lr: 5.5992e-02 eta: 3:04:20 time: 0.6421 data_time: 0.0208 memory: 10484 grad_norm: 0.1653 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.6167 recall@top3: 0.6889 prec@top3: 0.4000 recall@top5: 0.8667 prec@top5: 0.3200 loss_action_cls: 0.0462 loss: 0.0462 2022/08/10 17:34:07 - mmengine - INFO - Epoch(train) [5][2660/3842] lr: 5.5925e-02 eta: 3:04:08 time: 0.5002 data_time: 0.0164 memory: 10484 grad_norm: 0.1665 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6481 recall@top3: 0.8981 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 17:34:18 - mmengine - INFO - Epoch(train) [5][2680/3842] lr: 5.5858e-02 eta: 3:03:57 time: 0.5314 data_time: 0.0158 memory: 10484 grad_norm: 0.1773 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.7292 recall@top3: 0.9062 prec@top3: 0.5625 recall@top5: 0.9375 prec@top5: 0.3625 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 17:34:28 - mmengine - INFO - Epoch(train) [5][2700/3842] lr: 5.5791e-02 eta: 3:03:45 time: 0.5007 data_time: 0.0167 memory: 10484 grad_norm: 0.1693 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.8810 recall@top3: 0.8452 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 17:34:41 - mmengine - INFO - Epoch(train) [5][2720/3842] lr: 5.5724e-02 eta: 3:03:37 time: 0.6505 data_time: 0.0188 memory: 10484 grad_norm: 0.1606 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7451 recall@top3: 0.7549 prec@top3: 0.6863 recall@top5: 0.9020 prec@top5: 0.4706 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 17:34:51 - mmengine - INFO - Epoch(train) [5][2740/3842] lr: 5.5657e-02 eta: 3:03:25 time: 0.5030 data_time: 0.0174 memory: 10484 grad_norm: 0.1669 recall@thr=0.5: 0.6804 prec@thr=0.5: 0.7976 recall@top3: 0.7488 prec@top3: 0.7024 recall@top5: 0.9179 prec@top5: 0.5000 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 17:35:02 - mmengine - INFO - Epoch(train) [5][2760/3842] lr: 5.5590e-02 eta: 3:03:14 time: 0.5350 data_time: 0.0186 memory: 10484 grad_norm: 0.1727 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.4714 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 17:35:14 - mmengine - INFO - Epoch(train) [5][2780/3842] lr: 5.5523e-02 eta: 3:03:05 time: 0.6100 data_time: 0.0189 memory: 10484 grad_norm: 0.1717 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8810 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 17:35:25 - mmengine - INFO - Epoch(train) [5][2800/3842] lr: 5.5456e-02 eta: 3:02:54 time: 0.5330 data_time: 0.0228 memory: 10484 grad_norm: 0.1685 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.6905 recall@top3: 0.7619 prec@top3: 0.6905 recall@top5: 0.8929 prec@top5: 0.4714 loss_action_cls: 0.0486 loss: 0.0486 2022/08/10 17:35:36 - mmengine - INFO - Epoch(train) [5][2820/3842] lr: 5.5388e-02 eta: 3:02:44 time: 0.5672 data_time: 0.0146 memory: 10484 grad_norm: 0.1662 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.9111 recall@top3: 0.9111 prec@top3: 0.7111 recall@top5: 0.9833 prec@top5: 0.4800 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 17:35:46 - mmengine - INFO - Epoch(train) [5][2840/3842] lr: 5.5321e-02 eta: 3:02:32 time: 0.5089 data_time: 0.0196 memory: 10484 grad_norm: 0.1709 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7222 recall@top3: 0.8056 prec@top3: 0.5556 recall@top5: 0.8958 prec@top5: 0.4000 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 17:35:57 - mmengine - INFO - Epoch(train) [5][2860/3842] lr: 5.5253e-02 eta: 3:02:21 time: 0.5330 data_time: 0.0160 memory: 10484 grad_norm: 0.1799 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7549 recall@top3: 0.7255 prec@top3: 0.6471 recall@top5: 0.9559 prec@top5: 0.5059 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 17:36:09 - mmengine - INFO - Epoch(train) [5][2880/3842] lr: 5.5186e-02 eta: 3:02:12 time: 0.6070 data_time: 0.0175 memory: 10484 grad_norm: 0.1623 recall@thr=0.5: 0.7904 prec@thr=0.5: 0.8684 recall@top3: 0.7342 prec@top3: 0.7368 recall@top5: 0.9614 prec@top5: 0.6000 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 17:36:19 - mmengine - INFO - Epoch(train) [5][2900/3842] lr: 5.5118e-02 eta: 3:02:00 time: 0.5025 data_time: 0.0175 memory: 10484 grad_norm: 0.1665 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.8148 recall@top3: 0.8241 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 17:36:30 - mmengine - INFO - Epoch(train) [5][2920/3842] lr: 5.5050e-02 eta: 3:01:49 time: 0.5485 data_time: 0.0162 memory: 10484 grad_norm: 0.1686 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6719 recall@top3: 0.7552 prec@top3: 0.6458 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0500 loss: 0.0500 2022/08/10 17:36:41 - mmengine - INFO - Epoch(train) [5][2940/3842] lr: 5.4983e-02 eta: 3:01:38 time: 0.5322 data_time: 0.0180 memory: 10484 grad_norm: 0.1745 recall@thr=0.5: 0.5482 prec@thr=0.5: 0.6754 recall@top3: 0.7061 prec@top3: 0.5789 recall@top5: 0.9167 prec@top5: 0.4737 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 17:36:52 - mmengine - INFO - Epoch(train) [5][2960/3842] lr: 5.4915e-02 eta: 3:01:28 time: 0.5768 data_time: 0.0170 memory: 10484 grad_norm: 0.1676 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8667 recall@top3: 0.8689 prec@top3: 0.8000 recall@top5: 0.9400 prec@top5: 0.5333 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 17:37:03 - mmengine - INFO - Epoch(train) [5][2980/3842] lr: 5.4847e-02 eta: 3:01:17 time: 0.5345 data_time: 0.0220 memory: 10484 grad_norm: 0.1703 recall@thr=0.5: 0.7896 prec@thr=0.5: 0.8889 recall@top3: 0.7826 prec@top3: 0.8472 recall@top5: 1.0000 prec@top5: 0.6667 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 17:37:13 - mmengine - INFO - Epoch(train) [5][3000/3842] lr: 5.4779e-02 eta: 3:01:06 time: 0.5276 data_time: 0.0216 memory: 10484 grad_norm: 0.1697 recall@thr=0.5: 0.3533 prec@thr=0.5: 0.4125 recall@top3: 0.4975 prec@top3: 0.4167 recall@top5: 0.7667 prec@top5: 0.4100 loss_action_cls: 0.0479 loss: 0.0479 2022/08/10 17:37:23 - mmengine - INFO - Epoch(train) [5][3020/3842] lr: 5.4711e-02 eta: 3:00:54 time: 0.5010 data_time: 0.0170 memory: 10484 grad_norm: 0.1775 recall@thr=0.5: 0.5960 prec@thr=0.5: 0.7262 recall@top3: 0.7357 prec@top3: 0.6508 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 17:37:34 - mmengine - INFO - Epoch(train) [5][3040/3842] lr: 5.4643e-02 eta: 3:00:43 time: 0.5292 data_time: 0.0180 memory: 10484 grad_norm: 0.1755 recall@thr=0.5: 0.5646 prec@thr=0.5: 0.7687 recall@top3: 0.5927 prec@top3: 0.7083 recall@top5: 0.7719 prec@top5: 0.5625 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 17:37:46 - mmengine - INFO - Epoch(train) [5][3060/3842] lr: 5.4574e-02 eta: 3:00:34 time: 0.6084 data_time: 0.0180 memory: 10484 grad_norm: 0.1682 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8125 recall@top3: 0.7135 prec@top3: 0.6667 recall@top5: 0.8542 prec@top5: 0.5000 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 17:37:57 - mmengine - INFO - Epoch(train) [5][3080/3842] lr: 5.4506e-02 eta: 3:00:23 time: 0.5295 data_time: 0.0200 memory: 10484 grad_norm: 0.1721 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.6611 recall@top3: 0.6111 prec@top3: 0.5333 recall@top5: 0.8944 prec@top5: 0.4933 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 17:38:07 - mmengine - INFO - Epoch(train) [5][3100/3842] lr: 5.4438e-02 eta: 3:00:12 time: 0.5284 data_time: 0.0176 memory: 10484 grad_norm: 0.1685 recall@thr=0.5: 0.7019 prec@thr=0.5: 0.6250 recall@top3: 0.7111 prec@top3: 0.6111 recall@top5: 0.8389 prec@top5: 0.4556 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 17:38:20 - mmengine - INFO - Epoch(train) [5][3120/3842] lr: 5.4369e-02 eta: 3:00:02 time: 0.6197 data_time: 0.0204 memory: 10484 grad_norm: 0.1685 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.9706 recall@top3: 0.7990 prec@top3: 0.8431 recall@top5: 0.9706 prec@top5: 0.6353 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 17:38:30 - mmengine - INFO - Epoch(train) [5][3140/3842] lr: 5.4301e-02 eta: 2:59:51 time: 0.5274 data_time: 0.0173 memory: 10484 grad_norm: 0.1678 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6562 recall@top3: 0.7083 prec@top3: 0.6042 recall@top5: 0.8802 prec@top5: 0.4500 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 17:38:41 - mmengine - INFO - Epoch(train) [5][3160/3842] lr: 5.4232e-02 eta: 2:59:40 time: 0.5311 data_time: 0.0175 memory: 10484 grad_norm: 0.1637 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6667 recall@top3: 0.8824 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0553 loss: 0.0553 2022/08/10 17:38:52 - mmengine - INFO - Epoch(train) [5][3180/3842] lr: 5.4164e-02 eta: 2:59:30 time: 0.5517 data_time: 0.0173 memory: 10484 grad_norm: 0.1710 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8000 recall@top3: 0.8583 prec@top3: 0.6167 recall@top5: 0.9333 prec@top5: 0.4200 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 17:39:03 - mmengine - INFO - Epoch(train) [5][3200/3842] lr: 5.4095e-02 eta: 2:59:19 time: 0.5509 data_time: 0.0168 memory: 10484 grad_norm: 0.1689 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.7812 recall@top3: 0.8490 prec@top3: 0.5833 recall@top5: 0.9844 prec@top5: 0.4250 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 17:39:13 - mmengine - INFO - Epoch(train) [5][3220/3842] lr: 5.4026e-02 eta: 2:59:07 time: 0.5027 data_time: 0.0202 memory: 10484 grad_norm: 0.1696 recall@thr=0.5: 0.6763 prec@thr=0.5: 0.7404 recall@top3: 0.7340 prec@top3: 0.6923 recall@top5: 0.9103 prec@top5: 0.5231 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 17:39:25 - mmengine - INFO - Epoch(train) [5][3240/3842] lr: 5.3957e-02 eta: 2:58:57 time: 0.5930 data_time: 0.0501 memory: 10484 grad_norm: 0.1731 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6012 recall@top3: 0.8214 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4429 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:39:35 - mmengine - INFO - Epoch(train) [5][3260/3842] lr: 5.3888e-02 eta: 2:58:46 time: 0.5067 data_time: 0.0170 memory: 10484 grad_norm: 0.1736 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8922 recall@top3: 0.8186 prec@top3: 0.6863 recall@top5: 0.8873 prec@top5: 0.4588 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 17:39:46 - mmengine - INFO - Epoch(train) [5][3280/3842] lr: 5.3819e-02 eta: 2:58:35 time: 0.5290 data_time: 0.0171 memory: 10484 grad_norm: 0.1633 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8472 recall@top3: 0.8889 prec@top3: 0.6944 recall@top5: 0.8889 prec@top5: 0.4167 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 17:39:57 - mmengine - INFO - Epoch(train) [5][3300/3842] lr: 5.3750e-02 eta: 2:58:24 time: 0.5536 data_time: 0.0185 memory: 10484 grad_norm: 0.1653 recall@thr=0.5: 0.7269 prec@thr=0.5: 1.0000 recall@top3: 0.8565 prec@top3: 0.8889 recall@top5: 0.9861 prec@top5: 0.6333 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 17:40:07 - mmengine - INFO - Epoch(train) [5][3320/3842] lr: 5.3681e-02 eta: 2:58:12 time: 0.4977 data_time: 0.0163 memory: 10484 grad_norm: 0.1711 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.8021 recall@top3: 0.8385 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.5000 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 17:40:19 - mmengine - INFO - Epoch(train) [5][3340/3842] lr: 5.3612e-02 eta: 2:58:03 time: 0.6281 data_time: 0.0162 memory: 10484 grad_norm: 0.1768 recall@thr=0.5: 0.6196 prec@thr=0.5: 0.8235 recall@top3: 0.6961 prec@top3: 0.6275 recall@top5: 0.8255 prec@top5: 0.4588 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 17:40:33 - mmengine - INFO - Epoch(train) [5][3360/3842] lr: 5.3543e-02 eta: 2:57:56 time: 0.7034 data_time: 0.0230 memory: 10484 grad_norm: 0.1746 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.7444 recall@top3: 0.7889 prec@top3: 0.5778 recall@top5: 0.8667 prec@top5: 0.3867 loss_action_cls: 0.0493 loss: 0.0493 2022/08/10 17:40:44 - mmengine - INFO - Epoch(train) [5][3380/3842] lr: 5.3474e-02 eta: 2:57:45 time: 0.5329 data_time: 0.0166 memory: 10484 grad_norm: 0.1705 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.5955 recall@top3: 0.6727 prec@top3: 0.6515 recall@top5: 0.9114 prec@top5: 0.5545 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 17:40:55 - mmengine - INFO - Epoch(train) [5][3400/3842] lr: 5.3404e-02 eta: 2:57:34 time: 0.5428 data_time: 0.0170 memory: 10484 grad_norm: 0.1665 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8389 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.9833 prec@top5: 0.4800 loss_action_cls: 0.0451 loss: 0.0451 2022/08/10 17:41:05 - mmengine - INFO - Epoch(train) [5][3420/3842] lr: 5.3335e-02 eta: 2:57:23 time: 0.5335 data_time: 0.0188 memory: 10484 grad_norm: 0.1742 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7262 recall@top3: 0.8333 prec@top3: 0.5238 recall@top5: 0.8571 prec@top5: 0.3286 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 17:41:16 - mmengine - INFO - Epoch(train) [5][3440/3842] lr: 5.3265e-02 eta: 2:57:12 time: 0.5324 data_time: 0.0225 memory: 10484 grad_norm: 0.1574 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6000 recall@top3: 0.6111 prec@top3: 0.4444 recall@top5: 0.8222 prec@top5: 0.3867 loss_action_cls: 0.0496 loss: 0.0496 2022/08/10 17:41:27 - mmengine - INFO - Epoch(train) [5][3460/3842] lr: 5.3196e-02 eta: 2:57:01 time: 0.5437 data_time: 0.0171 memory: 10484 grad_norm: 0.1629 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.9643 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4000 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 17:41:38 - mmengine - INFO - Epoch(train) [5][3480/3842] lr: 5.3126e-02 eta: 2:56:51 time: 0.5571 data_time: 0.0183 memory: 10484 grad_norm: 0.1698 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7604 recall@top3: 0.8854 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 17:41:55 - mmengine - INFO - Epoch(train) [5][3500/3842] lr: 5.3056e-02 eta: 2:56:46 time: 0.8184 data_time: 0.0207 memory: 10484 grad_norm: 0.1680 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.9333 recall@top3: 0.8778 prec@top3: 0.7778 recall@top5: 0.9556 prec@top5: 0.5200 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 17:42:05 - mmengine - INFO - Epoch(train) [5][3520/3842] lr: 5.2986e-02 eta: 2:56:35 time: 0.5425 data_time: 0.0210 memory: 10484 grad_norm: 0.1740 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8854 recall@top3: 0.7292 prec@top3: 0.6875 recall@top5: 0.8958 prec@top5: 0.5250 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 17:42:16 - mmengine - INFO - Epoch(train) [5][3540/3842] lr: 5.2917e-02 eta: 2:56:23 time: 0.5083 data_time: 0.0167 memory: 10484 grad_norm: 0.1693 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5400 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 17:42:26 - mmengine - INFO - Epoch(train) [5][3560/3842] lr: 5.2847e-02 eta: 2:56:12 time: 0.5289 data_time: 0.0193 memory: 10484 grad_norm: 0.1764 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8364 recall@top3: 0.8086 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.5259 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 17:42:37 - mmengine - INFO - Epoch(train) [5][3580/3842] lr: 5.2777e-02 eta: 2:56:01 time: 0.5218 data_time: 0.0161 memory: 10484 grad_norm: 0.1732 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.8718 recall@top3: 0.6667 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4923 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 17:42:49 - mmengine - INFO - Epoch(train) [5][3600/3842] lr: 5.2707e-02 eta: 2:55:51 time: 0.6155 data_time: 0.0172 memory: 10484 grad_norm: 0.1747 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7235 recall@top3: 0.8561 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 17:43:00 - mmengine - INFO - Epoch(train) [5][3620/3842] lr: 5.2637e-02 eta: 2:55:41 time: 0.5445 data_time: 0.0186 memory: 10484 grad_norm: 0.1675 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8333 recall@top3: 0.8667 prec@top3: 0.6444 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 17:43:06 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 17:43:10 - mmengine - INFO - Epoch(train) [5][3640/3842] lr: 5.2566e-02 eta: 2:55:29 time: 0.5077 data_time: 0.0177 memory: 10484 grad_norm: 0.1753 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.9286 recall@top3: 0.8929 prec@top3: 0.7619 recall@top5: 0.9524 prec@top5: 0.5000 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 17:43:21 - mmengine - INFO - Epoch(train) [5][3660/3842] lr: 5.2496e-02 eta: 2:55:18 time: 0.5342 data_time: 0.0224 memory: 10484 grad_norm: 0.1792 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.7187 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.8854 prec@top5: 0.4250 loss_action_cls: 0.0417 loss: 0.0417 2022/08/10 17:43:31 - mmengine - INFO - Epoch(train) [5][3680/3842] lr: 5.2426e-02 eta: 2:55:06 time: 0.5011 data_time: 0.0185 memory: 10484 grad_norm: 0.1766 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.7308 recall@top3: 0.8590 prec@top3: 0.5385 recall@top5: 0.9487 prec@top5: 0.3692 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 17:43:41 - mmengine - INFO - Epoch(train) [5][3700/3842] lr: 5.2355e-02 eta: 2:54:55 time: 0.5273 data_time: 0.0178 memory: 10484 grad_norm: 0.1631 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.4951 recall@top3: 0.5294 prec@top3: 0.5098 recall@top5: 0.8971 prec@top5: 0.5176 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 17:43:51 - mmengine - INFO - Epoch(train) [5][3720/3842] lr: 5.2285e-02 eta: 2:54:43 time: 0.4987 data_time: 0.0179 memory: 10484 grad_norm: 0.1685 recall@thr=0.5: 0.7689 prec@thr=0.5: 0.8000 recall@top3: 0.8800 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0451 loss: 0.0451 2022/08/10 17:44:02 - mmengine - INFO - Epoch(train) [5][3740/3842] lr: 5.2215e-02 eta: 2:54:32 time: 0.5253 data_time: 0.0132 memory: 10484 grad_norm: 0.1668 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8452 recall@top3: 0.8333 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.5143 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 17:44:12 - mmengine - INFO - Epoch(train) [5][3760/3842] lr: 5.2144e-02 eta: 2:54:21 time: 0.5084 data_time: 0.0239 memory: 10484 grad_norm: 0.1734 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.8073 recall@top3: 0.9010 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 17:44:23 - mmengine - INFO - Epoch(train) [5][3780/3842] lr: 5.2073e-02 eta: 2:54:10 time: 0.5383 data_time: 0.0166 memory: 10484 grad_norm: 0.1725 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.6238 recall@top3: 0.6587 prec@top3: 0.5714 recall@top5: 0.7698 prec@top5: 0.4000 loss_action_cls: 0.0417 loss: 0.0417 2022/08/10 17:44:33 - mmengine - INFO - Epoch(train) [5][3800/3842] lr: 5.2003e-02 eta: 2:53:59 time: 0.5312 data_time: 0.0187 memory: 10484 grad_norm: 0.1609 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.9394 recall@top3: 0.8409 prec@top3: 0.7879 recall@top5: 0.9318 prec@top5: 0.5364 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 17:44:43 - mmengine - INFO - Epoch(train) [5][3820/3842] lr: 5.1932e-02 eta: 2:53:47 time: 0.4994 data_time: 0.0176 memory: 10484 grad_norm: 0.1648 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.8214 recall@top3: 0.7619 prec@top3: 0.6429 recall@top5: 0.9048 prec@top5: 0.4714 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 17:44:54 - mmengine - INFO - Epoch(train) [5][3840/3842] lr: 5.1861e-02 eta: 2:53:37 time: 0.5631 data_time: 0.0163 memory: 10484 grad_norm: 0.1718 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6333 recall@top3: 0.8222 prec@top3: 0.6667 recall@top5: 0.9222 prec@top5: 0.4800 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 17:44:56 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 17:44:56 - mmengine - INFO - Epoch(train) [5][3842/3842] lr: 5.1854e-02 eta: 2:53:37 time: 0.5455 data_time: 0.0171 memory: 10484 grad_norm: 0.1863 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.7500 recall@top3: 0.6354 prec@top3: 0.5417 recall@top5: 0.7500 prec@top5: 0.4000 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 17:44:56 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/10 17:45:03 - mmengine - INFO - Epoch(val) [5][20/6282] eta: 0:08:49 time: 0.0846 data_time: 0.0307 memory: 703 2022/08/10 17:45:04 - mmengine - INFO - Epoch(val) [5][40/6282] eta: 0:05:47 time: 0.0556 data_time: 0.0062 memory: 703 2022/08/10 17:45:07 - mmengine - INFO - Epoch(val) [5][60/6282] eta: 0:12:57 time: 0.1250 data_time: 0.0608 memory: 703 2022/08/10 17:45:08 - mmengine - INFO - Epoch(val) [5][80/6282] eta: 0:07:42 time: 0.0745 data_time: 0.0294 memory: 703 2022/08/10 17:45:09 - mmengine - INFO - Epoch(val) [5][100/6282] eta: 0:05:24 time: 0.0525 data_time: 0.0059 memory: 703 2022/08/10 17:45:11 - mmengine - INFO - Epoch(val) [5][120/6282] eta: 0:08:20 time: 0.0812 data_time: 0.0280 memory: 809 2022/08/10 17:45:12 - mmengine - INFO - Epoch(val) [5][140/6282] eta: 0:06:37 time: 0.0648 data_time: 0.0058 memory: 809 2022/08/10 17:45:13 - mmengine - INFO - Epoch(val) [5][160/6282] eta: 0:07:15 time: 0.0711 data_time: 0.0093 memory: 809 2022/08/10 17:45:15 - mmengine - INFO - Epoch(val) [5][180/6282] eta: 0:07:06 time: 0.0698 data_time: 0.0077 memory: 809 2022/08/10 17:45:16 - mmengine - INFO - Epoch(val) [5][200/6282] eta: 0:06:31 time: 0.0644 data_time: 0.0074 memory: 809 2022/08/10 17:45:18 - mmengine - INFO - Epoch(val) [5][220/6282] eta: 0:07:56 time: 0.0787 data_time: 0.0056 memory: 738 2022/08/10 17:45:19 - mmengine - INFO - Epoch(val) [5][240/6282] eta: 0:05:17 time: 0.0525 data_time: 0.0055 memory: 738 2022/08/10 17:45:20 - mmengine - INFO - Epoch(val) [5][260/6282] eta: 0:05:33 time: 0.0554 data_time: 0.0059 memory: 738 2022/08/10 17:45:21 - mmengine - INFO - Epoch(val) [5][280/6282] eta: 0:05:52 time: 0.0588 data_time: 0.0081 memory: 738 2022/08/10 17:45:27 - mmengine - INFO - Epoch(val) [5][300/6282] eta: 0:28:55 time: 0.2901 data_time: 0.2364 memory: 809 2022/08/10 17:45:29 - mmengine - INFO - Epoch(val) [5][320/6282] eta: 0:09:24 time: 0.0947 data_time: 0.0131 memory: 809 2022/08/10 17:45:30 - mmengine - INFO - Epoch(val) [5][340/6282] eta: 0:07:15 time: 0.0734 data_time: 0.0148 memory: 809 2022/08/10 17:45:32 - mmengine - INFO - Epoch(val) [5][360/6282] eta: 0:09:28 time: 0.0959 data_time: 0.0340 memory: 809 2022/08/10 17:45:34 - mmengine - INFO - Epoch(val) [5][380/6282] eta: 0:08:22 time: 0.0852 data_time: 0.0270 memory: 809 2022/08/10 17:45:35 - mmengine - INFO - Epoch(val) [5][400/6282] eta: 0:07:13 time: 0.0737 data_time: 0.0184 memory: 809 2022/08/10 17:45:36 - mmengine - INFO - Epoch(val) [5][420/6282] eta: 0:05:30 time: 0.0565 data_time: 0.0067 memory: 743 2022/08/10 17:45:38 - mmengine - INFO - Epoch(val) [5][440/6282] eta: 0:05:38 time: 0.0580 data_time: 0.0075 memory: 743 2022/08/10 17:45:39 - mmengine - INFO - Epoch(val) [5][460/6282] eta: 0:06:58 time: 0.0720 data_time: 0.0095 memory: 743 2022/08/10 17:45:40 - mmengine - INFO - Epoch(val) [5][480/6282] eta: 0:05:58 time: 0.0619 data_time: 0.0079 memory: 743 2022/08/10 17:45:42 - mmengine - INFO - Epoch(val) [5][500/6282] eta: 0:05:58 time: 0.0621 data_time: 0.0089 memory: 743 2022/08/10 17:45:43 - mmengine - INFO - Epoch(val) [5][520/6282] eta: 0:05:47 time: 0.0604 data_time: 0.0074 memory: 738 2022/08/10 17:45:44 - mmengine - INFO - Epoch(val) [5][540/6282] eta: 0:05:20 time: 0.0558 data_time: 0.0068 memory: 738 2022/08/10 17:45:45 - mmengine - INFO - Epoch(val) [5][560/6282] eta: 0:05:19 time: 0.0558 data_time: 0.0046 memory: 738 2022/08/10 17:45:57 - mmengine - INFO - Epoch(val) [5][580/6282] eta: 0:58:40 time: 0.6175 data_time: 0.5718 memory: 738 2022/08/10 17:45:58 - mmengine - INFO - Epoch(val) [5][600/6282] eta: 0:05:02 time: 0.0532 data_time: 0.0036 memory: 738 2022/08/10 17:45:59 - mmengine - INFO - Epoch(val) [5][620/6282] eta: 0:04:47 time: 0.0507 data_time: 0.0053 memory: 738 2022/08/10 17:46:01 - mmengine - INFO - Epoch(val) [5][640/6282] eta: 0:05:08 time: 0.0546 data_time: 0.0062 memory: 733 2022/08/10 17:46:02 - mmengine - INFO - Epoch(val) [5][660/6282] eta: 0:05:07 time: 0.0546 data_time: 0.0055 memory: 733 2022/08/10 17:46:03 - mmengine - INFO - Epoch(val) [5][680/6282] eta: 0:04:42 time: 0.0505 data_time: 0.0053 memory: 733 2022/08/10 17:46:04 - mmengine - INFO - Epoch(val) [5][700/6282] eta: 0:05:03 time: 0.0544 data_time: 0.0050 memory: 733 2022/08/10 17:46:06 - mmengine - INFO - Epoch(val) [5][720/6282] eta: 0:10:53 time: 0.1175 data_time: 0.0431 memory: 809 2022/08/10 17:46:09 - mmengine - INFO - Epoch(val) [5][740/6282] eta: 0:13:02 time: 0.1412 data_time: 0.0769 memory: 809 2022/08/10 17:46:13 - mmengine - INFO - Epoch(val) [5][760/6282] eta: 0:16:33 time: 0.1799 data_time: 0.1156 memory: 809 2022/08/10 17:46:16 - mmengine - INFO - Epoch(val) [5][780/6282] eta: 0:13:50 time: 0.1510 data_time: 0.0892 memory: 809 2022/08/10 17:46:19 - mmengine - INFO - Epoch(val) [5][800/6282] eta: 0:18:02 time: 0.1974 data_time: 0.1337 memory: 809 2022/08/10 17:46:21 - mmengine - INFO - Epoch(val) [5][820/6282] eta: 0:09:03 time: 0.0995 data_time: 0.0390 memory: 809 2022/08/10 17:46:23 - mmengine - INFO - Epoch(val) [5][840/6282] eta: 0:05:29 time: 0.0605 data_time: 0.0067 memory: 738 2022/08/10 17:46:26 - mmengine - INFO - Epoch(val) [5][860/6282] eta: 0:13:18 time: 0.1473 data_time: 0.0627 memory: 738 2022/08/10 17:46:27 - mmengine - INFO - Epoch(val) [5][880/6282] eta: 0:06:49 time: 0.0757 data_time: 0.0290 memory: 738 2022/08/10 17:46:28 - mmengine - INFO - Epoch(val) [5][900/6282] eta: 0:04:31 time: 0.0504 data_time: 0.0034 memory: 738 2022/08/10 17:46:29 - mmengine - INFO - Epoch(val) [5][920/6282] eta: 0:04:59 time: 0.0558 data_time: 0.0066 memory: 738 2022/08/10 17:46:30 - mmengine - INFO - Epoch(val) [5][940/6282] eta: 0:04:37 time: 0.0519 data_time: 0.0061 memory: 703 2022/08/10 17:46:31 - mmengine - INFO - Epoch(val) [5][960/6282] eta: 0:04:33 time: 0.0514 data_time: 0.0061 memory: 703 2022/08/10 17:46:32 - mmengine - INFO - Epoch(val) [5][980/6282] eta: 0:04:39 time: 0.0527 data_time: 0.0069 memory: 703 2022/08/10 17:46:34 - mmengine - INFO - Epoch(val) [5][1000/6282] eta: 0:04:49 time: 0.0547 data_time: 0.0067 memory: 703 2022/08/10 17:46:35 - mmengine - INFO - Epoch(val) [5][1020/6282] eta: 0:04:26 time: 0.0506 data_time: 0.0039 memory: 738 2022/08/10 17:46:36 - mmengine - INFO - Epoch(val) [5][1040/6282] eta: 0:07:04 time: 0.0809 data_time: 0.0050 memory: 738 2022/08/10 17:46:37 - mmengine - INFO - Epoch(val) [5][1060/6282] eta: 0:04:34 time: 0.0525 data_time: 0.0057 memory: 738 2022/08/10 17:46:38 - mmengine - INFO - Epoch(val) [5][1080/6282] eta: 0:04:36 time: 0.0531 data_time: 0.0051 memory: 738 2022/08/10 17:46:39 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:04:23 time: 0.0508 data_time: 0.0044 memory: 738 2022/08/10 17:46:40 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:04:39 time: 0.0541 data_time: 0.0059 memory: 738 2022/08/10 17:46:41 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:04:27 time: 0.0519 data_time: 0.0056 memory: 738 2022/08/10 17:46:44 - mmengine - INFO - Epoch(val) [5][1160/6282] eta: 0:10:33 time: 0.1238 data_time: 0.0811 memory: 738 2022/08/10 17:46:45 - mmengine - INFO - Epoch(val) [5][1180/6282] eta: 0:06:10 time: 0.0727 data_time: 0.0265 memory: 738 2022/08/10 17:46:47 - mmengine - INFO - Epoch(val) [5][1200/6282] eta: 0:06:16 time: 0.0742 data_time: 0.0287 memory: 738 2022/08/10 17:46:49 - mmengine - INFO - Epoch(val) [5][1220/6282] eta: 0:07:05 time: 0.0841 data_time: 0.0260 memory: 738 2022/08/10 17:46:51 - mmengine - INFO - Epoch(val) [5][1240/6282] eta: 0:09:43 time: 0.1157 data_time: 0.0580 memory: 809 2022/08/10 17:46:53 - mmengine - INFO - Epoch(val) [5][1260/6282] eta: 0:10:21 time: 0.1238 data_time: 0.0656 memory: 809 2022/08/10 17:46:56 - mmengine - INFO - Epoch(val) [5][1280/6282] eta: 0:12:52 time: 0.1544 data_time: 0.0945 memory: 809 2022/08/10 17:46:59 - mmengine - INFO - Epoch(val) [5][1300/6282] eta: 0:12:24 time: 0.1494 data_time: 0.0650 memory: 809 2022/08/10 17:47:02 - mmengine - INFO - Epoch(val) [5][1320/6282] eta: 0:10:25 time: 0.1261 data_time: 0.0665 memory: 809 2022/08/10 17:47:04 - mmengine - INFO - Epoch(val) [5][1340/6282] eta: 0:10:21 time: 0.1258 data_time: 0.0658 memory: 809 2022/08/10 17:47:08 - mmengine - INFO - Epoch(val) [5][1360/6282] eta: 0:12:58 time: 0.1582 data_time: 0.0979 memory: 809 2022/08/10 17:47:10 - mmengine - INFO - Epoch(val) [5][1380/6282] eta: 0:10:05 time: 0.1236 data_time: 0.0613 memory: 809 2022/08/10 17:47:13 - mmengine - INFO - Epoch(val) [5][1400/6282] eta: 0:13:57 time: 0.1716 data_time: 0.1094 memory: 809 2022/08/10 17:47:16 - mmengine - INFO - Epoch(val) [5][1420/6282] eta: 0:10:42 time: 0.1321 data_time: 0.0487 memory: 809 2022/08/10 17:47:22 - mmengine - INFO - Epoch(val) [5][1440/6282] eta: 0:21:41 time: 0.2688 data_time: 0.2086 memory: 809 2022/08/10 17:47:23 - mmengine - INFO - Epoch(val) [5][1460/6282] eta: 0:05:02 time: 0.0628 data_time: 0.0046 memory: 809 2022/08/10 17:47:24 - mmengine - INFO - Epoch(val) [5][1480/6282] eta: 0:05:35 time: 0.0699 data_time: 0.0073 memory: 809 2022/08/10 17:47:25 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:05:12 time: 0.0653 data_time: 0.0086 memory: 809 2022/08/10 17:47:27 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:05:05 time: 0.0642 data_time: 0.0061 memory: 911 2022/08/10 17:47:28 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:06:26 time: 0.0815 data_time: 0.0072 memory: 911 2022/08/10 17:47:30 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:06:17 time: 0.0800 data_time: 0.0072 memory: 911 2022/08/10 17:47:32 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:07:20 time: 0.0937 data_time: 0.0216 memory: 911 2022/08/10 17:47:33 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:05:59 time: 0.0767 data_time: 0.0054 memory: 911 2022/08/10 17:47:35 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:06:16 time: 0.0807 data_time: 0.0084 memory: 911 2022/08/10 17:47:36 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:04:50 time: 0.0625 data_time: 0.0048 memory: 809 2022/08/10 17:47:38 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:04:49 time: 0.0627 data_time: 0.0059 memory: 809 2022/08/10 17:47:39 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:04:58 time: 0.0648 data_time: 0.0071 memory: 809 2022/08/10 17:47:40 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:04:46 time: 0.0624 data_time: 0.0056 memory: 809 2022/08/10 17:47:42 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:05:28 time: 0.0719 data_time: 0.0077 memory: 809 2022/08/10 17:47:43 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:05:04 time: 0.0669 data_time: 0.0067 memory: 809 2022/08/10 17:47:44 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:04:54 time: 0.0652 data_time: 0.0078 memory: 809 2022/08/10 17:47:46 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:04:58 time: 0.0662 data_time: 0.0065 memory: 809 2022/08/10 17:47:47 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:05:32 time: 0.0742 data_time: 0.0156 memory: 809 2022/08/10 17:47:50 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:09:56 time: 0.1337 data_time: 0.0772 memory: 809 2022/08/10 17:47:52 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:08:56 time: 0.1209 data_time: 0.0615 memory: 809 2022/08/10 17:47:56 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:14:16 time: 0.1936 data_time: 0.1300 memory: 809 2022/08/10 17:47:59 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:09:39 time: 0.1317 data_time: 0.0700 memory: 809 2022/08/10 17:48:02 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:12:05 time: 0.1656 data_time: 0.1085 memory: 809 2022/08/10 17:48:05 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:12:54 time: 0.1776 data_time: 0.1217 memory: 809 2022/08/10 17:48:07 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:06:45 time: 0.0935 data_time: 0.0368 memory: 809 2022/08/10 17:48:09 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:04:32 time: 0.0631 data_time: 0.0082 memory: 743 2022/08/10 17:48:10 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:04:19 time: 0.0603 data_time: 0.0067 memory: 743 2022/08/10 17:48:11 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:04:14 time: 0.0595 data_time: 0.0080 memory: 743 2022/08/10 17:48:12 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:03:53 time: 0.0548 data_time: 0.0060 memory: 743 2022/08/10 17:48:14 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:05:21 time: 0.0757 data_time: 0.0056 memory: 743 2022/08/10 17:48:15 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:03:53 time: 0.0552 data_time: 0.0059 memory: 743 2022/08/10 17:48:16 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:05:54 time: 0.0843 data_time: 0.0186 memory: 743 2022/08/10 17:48:18 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:04:07 time: 0.0592 data_time: 0.0073 memory: 743 2022/08/10 17:48:20 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:09:04 time: 0.1308 data_time: 0.0846 memory: 743 2022/08/10 17:48:23 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:08:19 time: 0.1205 data_time: 0.0766 memory: 743 2022/08/10 17:48:24 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:04:45 time: 0.0693 data_time: 0.0284 memory: 738 2022/08/10 17:48:25 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:03:12 time: 0.0469 data_time: 0.0031 memory: 738 2022/08/10 17:48:26 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:03:15 time: 0.0478 data_time: 0.0049 memory: 738 2022/08/10 17:48:27 - mmengine - INFO - Epoch(val) [5][2220/6282] eta: 0:03:28 time: 0.0512 data_time: 0.0061 memory: 738 2022/08/10 17:48:28 - mmengine - INFO - Epoch(val) [5][2240/6282] eta: 0:03:27 time: 0.0512 data_time: 0.0047 memory: 738 2022/08/10 17:48:29 - mmengine - INFO - Epoch(val) [5][2260/6282] eta: 0:03:36 time: 0.0537 data_time: 0.0051 memory: 743 2022/08/10 17:48:30 - mmengine - INFO - Epoch(val) [5][2280/6282] eta: 0:03:40 time: 0.0550 data_time: 0.0060 memory: 743 2022/08/10 17:48:31 - mmengine - INFO - Epoch(val) [5][2300/6282] eta: 0:03:20 time: 0.0503 data_time: 0.0035 memory: 743 2022/08/10 17:48:32 - mmengine - INFO - Epoch(val) [5][2320/6282] eta: 0:03:33 time: 0.0539 data_time: 0.0070 memory: 743 2022/08/10 17:48:33 - mmengine - INFO - Epoch(val) [5][2340/6282] eta: 0:03:33 time: 0.0543 data_time: 0.0062 memory: 743 2022/08/10 17:48:34 - mmengine - INFO - Epoch(val) [5][2360/6282] eta: 0:03:24 time: 0.0522 data_time: 0.0055 memory: 738 2022/08/10 17:48:36 - mmengine - INFO - Epoch(val) [5][2380/6282] eta: 0:05:13 time: 0.0804 data_time: 0.0064 memory: 738 2022/08/10 17:48:37 - mmengine - INFO - Epoch(val) [5][2400/6282] eta: 0:03:20 time: 0.0516 data_time: 0.0047 memory: 738 2022/08/10 17:48:40 - mmengine - INFO - Epoch(val) [5][2420/6282] eta: 0:08:03 time: 0.1251 data_time: 0.0810 memory: 738 2022/08/10 17:48:41 - mmengine - INFO - Epoch(val) [5][2440/6282] eta: 0:04:47 time: 0.0749 data_time: 0.0293 memory: 738 2022/08/10 17:48:42 - mmengine - INFO - Epoch(val) [5][2460/6282] eta: 0:04:09 time: 0.0653 data_time: 0.0094 memory: 809 2022/08/10 17:48:44 - mmengine - INFO - Epoch(val) [5][2480/6282] eta: 0:04:24 time: 0.0695 data_time: 0.0148 memory: 809 2022/08/10 17:48:45 - mmengine - INFO - Epoch(val) [5][2500/6282] eta: 0:04:04 time: 0.0646 data_time: 0.0063 memory: 809 2022/08/10 17:48:47 - mmengine - INFO - Epoch(val) [5][2520/6282] eta: 0:05:55 time: 0.0945 data_time: 0.0114 memory: 809 2022/08/10 17:48:48 - mmengine - INFO - Epoch(val) [5][2540/6282] eta: 0:04:46 time: 0.0765 data_time: 0.0167 memory: 809 2022/08/10 17:48:51 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:09:03 time: 0.1459 data_time: 0.0852 memory: 809 2022/08/10 17:48:54 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:08:57 time: 0.1452 data_time: 0.0871 memory: 809 2022/08/10 17:48:57 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:09:51 time: 0.1606 data_time: 0.0956 memory: 809 2022/08/10 17:49:01 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:09:36 time: 0.1574 data_time: 0.0963 memory: 809 2022/08/10 17:49:03 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:08:25 time: 0.1387 data_time: 0.0765 memory: 809 2022/08/10 17:49:05 - mmengine - INFO - Epoch(val) [5][2660/6282] eta: 0:04:37 time: 0.0767 data_time: 0.0065 memory: 902 2022/08/10 17:49:08 - mmengine - INFO - Epoch(val) [5][2680/6282] eta: 0:09:21 time: 0.1558 data_time: 0.0664 memory: 902 2022/08/10 17:49:10 - mmengine - INFO - Epoch(val) [5][2700/6282] eta: 0:05:28 time: 0.0916 data_time: 0.0235 memory: 902 2022/08/10 17:49:12 - mmengine - INFO - Epoch(val) [5][2720/6282] eta: 0:05:20 time: 0.0901 data_time: 0.0212 memory: 902 2022/08/10 17:49:13 - mmengine - INFO - Epoch(val) [5][2740/6282] eta: 0:04:25 time: 0.0751 data_time: 0.0083 memory: 902 2022/08/10 17:49:14 - mmengine - INFO - Epoch(val) [5][2760/6282] eta: 0:03:15 time: 0.0555 data_time: 0.0054 memory: 743 2022/08/10 17:49:15 - mmengine - INFO - Epoch(val) [5][2780/6282] eta: 0:03:21 time: 0.0575 data_time: 0.0070 memory: 743 2022/08/10 17:49:17 - mmengine - INFO - Epoch(val) [5][2800/6282] eta: 0:03:31 time: 0.0606 data_time: 0.0081 memory: 743 2022/08/10 17:49:19 - mmengine - INFO - Epoch(val) [5][2820/6282] eta: 0:06:52 time: 0.1192 data_time: 0.0685 memory: 743 2022/08/10 17:49:20 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:03:22 time: 0.0588 data_time: 0.0080 memory: 743 2022/08/10 17:49:22 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:04:59 time: 0.0876 data_time: 0.0246 memory: 809 2022/08/10 17:49:24 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:05:21 time: 0.0946 data_time: 0.0333 memory: 809 2022/08/10 17:49:26 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:05:26 time: 0.0964 data_time: 0.0349 memory: 809 2022/08/10 17:49:27 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:03:58 time: 0.0709 data_time: 0.0160 memory: 809 2022/08/10 17:49:28 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:03:16 time: 0.0588 data_time: 0.0067 memory: 773 2022/08/10 17:49:30 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:03:24 time: 0.0617 data_time: 0.0083 memory: 773 2022/08/10 17:49:31 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:03:34 time: 0.0651 data_time: 0.0099 memory: 773 2022/08/10 17:49:32 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:03:15 time: 0.0594 data_time: 0.0070 memory: 773 2022/08/10 17:49:33 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:03:31 time: 0.0649 data_time: 0.0064 memory: 809 2022/08/10 17:49:35 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:03:43 time: 0.0690 data_time: 0.0101 memory: 809 2022/08/10 17:49:37 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:05:00 time: 0.0933 data_time: 0.0081 memory: 809 2022/08/10 17:49:38 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:03:45 time: 0.0703 data_time: 0.0100 memory: 809 2022/08/10 17:49:39 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:03:25 time: 0.0647 data_time: 0.0070 memory: 809 2022/08/10 17:49:41 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:03:10 time: 0.0602 data_time: 0.0092 memory: 743 2022/08/10 17:49:42 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:03:06 time: 0.0595 data_time: 0.0081 memory: 743 2022/08/10 17:49:43 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:03:05 time: 0.0593 data_time: 0.0082 memory: 743 2022/08/10 17:49:44 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:03:05 time: 0.0598 data_time: 0.0072 memory: 743 2022/08/10 17:49:46 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:03:36 time: 0.0703 data_time: 0.0105 memory: 809 2022/08/10 17:49:47 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:04:27 time: 0.0873 data_time: 0.0239 memory: 809 2022/08/10 17:49:49 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:04:43 time: 0.0931 data_time: 0.0324 memory: 809 2022/08/10 17:49:51 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:04:04 time: 0.0810 data_time: 0.0188 memory: 809 2022/08/10 17:49:53 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:04:18 time: 0.0863 data_time: 0.0245 memory: 809 2022/08/10 17:49:54 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:03:22 time: 0.0677 data_time: 0.0054 memory: 809 2022/08/10 17:49:56 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:04:31 time: 0.0918 data_time: 0.0135 memory: 809 2022/08/10 17:49:57 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:03:32 time: 0.0724 data_time: 0.0081 memory: 809 2022/08/10 17:49:59 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:03:19 time: 0.0684 data_time: 0.0085 memory: 809 2022/08/10 17:50:00 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:03:07 time: 0.0648 data_time: 0.0071 memory: 809 2022/08/10 17:50:01 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:02:40 time: 0.0556 data_time: 0.0071 memory: 738 2022/08/10 17:50:02 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:02:43 time: 0.0570 data_time: 0.0075 memory: 738 2022/08/10 17:50:03 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:02:46 time: 0.0587 data_time: 0.0060 memory: 738 2022/08/10 17:50:04 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:02:38 time: 0.0561 data_time: 0.0062 memory: 738 2022/08/10 17:50:06 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:02:47 time: 0.0596 data_time: 0.0102 memory: 738 2022/08/10 17:50:07 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:02:36 time: 0.0563 data_time: 0.0077 memory: 738 2022/08/10 17:50:08 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:02:38 time: 0.0573 data_time: 0.0082 memory: 738 2022/08/10 17:50:09 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:02:32 time: 0.0557 data_time: 0.0073 memory: 738 2022/08/10 17:50:10 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:02:39 time: 0.0588 data_time: 0.0070 memory: 738 2022/08/10 17:50:11 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:02:38 time: 0.0587 data_time: 0.0060 memory: 789 2022/08/10 17:50:13 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:02:45 time: 0.0619 data_time: 0.0070 memory: 789 2022/08/10 17:50:14 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:02:42 time: 0.0609 data_time: 0.0059 memory: 789 2022/08/10 17:50:15 - mmengine - INFO - Epoch(val) [5][3640/6282] eta: 0:02:53 time: 0.0656 data_time: 0.0062 memory: 789 2022/08/10 17:50:17 - mmengine - INFO - Epoch(val) [5][3660/6282] eta: 0:02:53 time: 0.0662 data_time: 0.0069 memory: 789 2022/08/10 17:50:18 - mmengine - INFO - Epoch(val) [5][3680/6282] eta: 0:02:57 time: 0.0684 data_time: 0.0076 memory: 809 2022/08/10 17:50:19 - mmengine - INFO - Epoch(val) [5][3700/6282] eta: 0:02:59 time: 0.0697 data_time: 0.0106 memory: 809 2022/08/10 17:50:21 - mmengine - INFO - Epoch(val) [5][3720/6282] eta: 0:03:50 time: 0.0901 data_time: 0.0297 memory: 809 2022/08/10 17:50:23 - mmengine - INFO - Epoch(val) [5][3740/6282] eta: 0:03:40 time: 0.0865 data_time: 0.0266 memory: 809 2022/08/10 17:50:25 - mmengine - INFO - Epoch(val) [5][3760/6282] eta: 0:03:38 time: 0.0867 data_time: 0.0232 memory: 809 2022/08/10 17:50:26 - mmengine - INFO - Epoch(val) [5][3780/6282] eta: 0:03:25 time: 0.0821 data_time: 0.0207 memory: 809 2022/08/10 17:50:28 - mmengine - INFO - Epoch(val) [5][3800/6282] eta: 0:03:36 time: 0.0872 data_time: 0.0284 memory: 809 2022/08/10 17:50:30 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:03:15 time: 0.0794 data_time: 0.0190 memory: 809 2022/08/10 17:50:31 - mmengine - INFO - Epoch(val) [5][3840/6282] eta: 0:03:35 time: 0.0882 data_time: 0.0281 memory: 809 2022/08/10 17:50:33 - mmengine - INFO - Epoch(val) [5][3860/6282] eta: 0:03:21 time: 0.0831 data_time: 0.0228 memory: 809 2022/08/10 17:50:35 - mmengine - INFO - Epoch(val) [5][3880/6282] eta: 0:03:45 time: 0.0939 data_time: 0.0341 memory: 809 2022/08/10 17:50:37 - mmengine - INFO - Epoch(val) [5][3900/6282] eta: 0:03:35 time: 0.0903 data_time: 0.0249 memory: 809 2022/08/10 17:50:38 - mmengine - INFO - Epoch(val) [5][3920/6282] eta: 0:03:27 time: 0.0878 data_time: 0.0277 memory: 809 2022/08/10 17:50:40 - mmengine - INFO - Epoch(val) [5][3940/6282] eta: 0:03:48 time: 0.0977 data_time: 0.0377 memory: 809 2022/08/10 17:50:42 - mmengine - INFO - Epoch(val) [5][3960/6282] eta: 0:02:49 time: 0.0732 data_time: 0.0103 memory: 809 2022/08/10 17:50:43 - mmengine - INFO - Epoch(val) [5][3980/6282] eta: 0:02:38 time: 0.0688 data_time: 0.0075 memory: 809 2022/08/10 17:50:45 - mmengine - INFO - Epoch(val) [5][4000/6282] eta: 0:02:42 time: 0.0711 data_time: 0.0089 memory: 809 2022/08/10 17:50:46 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:02:37 time: 0.0696 data_time: 0.0074 memory: 809 2022/08/10 17:50:47 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:02:39 time: 0.0710 data_time: 0.0080 memory: 902 2022/08/10 17:50:49 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:03:03 time: 0.0827 data_time: 0.0071 memory: 902 2022/08/10 17:50:51 - mmengine - INFO - Epoch(val) [5][4080/6282] eta: 0:02:57 time: 0.0806 data_time: 0.0080 memory: 902 2022/08/10 17:50:53 - mmengine - INFO - Epoch(val) [5][4100/6282] eta: 0:03:24 time: 0.0939 data_time: 0.0090 memory: 902 2022/08/10 17:50:54 - mmengine - INFO - Epoch(val) [5][4120/6282] eta: 0:02:56 time: 0.0815 data_time: 0.0087 memory: 902 2022/08/10 17:50:56 - mmengine - INFO - Epoch(val) [5][4140/6282] eta: 0:02:32 time: 0.0713 data_time: 0.0073 memory: 902 2022/08/10 17:50:57 - mmengine - INFO - Epoch(val) [5][4160/6282] eta: 0:02:11 time: 0.0619 data_time: 0.0104 memory: 738 2022/08/10 17:50:58 - mmengine - INFO - Epoch(val) [5][4180/6282] eta: 0:02:09 time: 0.0617 data_time: 0.0064 memory: 738 2022/08/10 17:50:59 - mmengine - INFO - Epoch(val) [5][4200/6282] eta: 0:02:05 time: 0.0603 data_time: 0.0094 memory: 738 2022/08/10 17:51:01 - mmengine - INFO - Epoch(val) [5][4220/6282] eta: 0:02:03 time: 0.0598 data_time: 0.0089 memory: 738 2022/08/10 17:51:02 - mmengine - INFO - Epoch(val) [5][4240/6282] eta: 0:02:04 time: 0.0609 data_time: 0.0076 memory: 738 2022/08/10 17:51:03 - mmengine - INFO - Epoch(val) [5][4260/6282] eta: 0:01:52 time: 0.0556 data_time: 0.0061 memory: 736 2022/08/10 17:51:04 - mmengine - INFO - Epoch(val) [5][4280/6282] eta: 0:01:59 time: 0.0596 data_time: 0.0091 memory: 736 2022/08/10 17:51:06 - mmengine - INFO - Epoch(val) [5][4300/6282] eta: 0:02:53 time: 0.0878 data_time: 0.0080 memory: 736 2022/08/10 17:51:07 - mmengine - INFO - Epoch(val) [5][4320/6282] eta: 0:01:53 time: 0.0580 data_time: 0.0076 memory: 736 2022/08/10 17:51:08 - mmengine - INFO - Epoch(val) [5][4340/6282] eta: 0:01:52 time: 0.0578 data_time: 0.0052 memory: 736 2022/08/10 17:51:10 - mmengine - INFO - Epoch(val) [5][4360/6282] eta: 0:02:10 time: 0.0679 data_time: 0.0085 memory: 809 2022/08/10 17:51:11 - mmengine - INFO - Epoch(val) [5][4380/6282] eta: 0:02:17 time: 0.0723 data_time: 0.0086 memory: 809 2022/08/10 17:51:12 - mmengine - INFO - Epoch(val) [5][4400/6282] eta: 0:02:09 time: 0.0691 data_time: 0.0089 memory: 809 2022/08/10 17:51:14 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:02:20 time: 0.0753 data_time: 0.0185 memory: 809 2022/08/10 17:51:16 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:03:26 time: 0.1123 data_time: 0.0547 memory: 816 2022/08/10 17:51:18 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:02:14 time: 0.0739 data_time: 0.0183 memory: 816 2022/08/10 17:51:19 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:01:45 time: 0.0585 data_time: 0.0042 memory: 816 2022/08/10 17:51:20 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:01:47 time: 0.0603 data_time: 0.0043 memory: 816 2022/08/10 17:51:21 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:01:48 time: 0.0613 data_time: 0.0058 memory: 816 2022/08/10 17:51:22 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:42 time: 0.0588 data_time: 0.0083 memory: 743 2022/08/10 17:51:24 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:38 time: 0.0571 data_time: 0.0065 memory: 743 2022/08/10 17:51:25 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:43 time: 0.0606 data_time: 0.0095 memory: 743 2022/08/10 17:51:26 - mmengine - INFO - Epoch(val) [5][4600/6282] eta: 0:02:23 time: 0.0850 data_time: 0.0063 memory: 743 2022/08/10 17:51:28 - mmengine - INFO - Epoch(val) [5][4620/6282] eta: 0:01:39 time: 0.0596 data_time: 0.0072 memory: 743 2022/08/10 17:51:29 - mmengine - INFO - Epoch(val) [5][4640/6282] eta: 0:01:52 time: 0.0686 data_time: 0.0080 memory: 816 2022/08/10 17:51:30 - mmengine - INFO - Epoch(val) [5][4660/6282] eta: 0:01:54 time: 0.0708 data_time: 0.0090 memory: 816 2022/08/10 17:51:32 - mmengine - INFO - Epoch(val) [5][4680/6282] eta: 0:01:52 time: 0.0701 data_time: 0.0085 memory: 816 2022/08/10 17:51:33 - mmengine - INFO - Epoch(val) [5][4700/6282] eta: 0:01:45 time: 0.0668 data_time: 0.0062 memory: 816 2022/08/10 17:51:35 - mmengine - INFO - Epoch(val) [5][4720/6282] eta: 0:01:46 time: 0.0683 data_time: 0.0081 memory: 816 2022/08/10 17:51:36 - mmengine - INFO - Epoch(val) [5][4740/6282] eta: 0:01:48 time: 0.0702 data_time: 0.0094 memory: 768 2022/08/10 17:51:37 - mmengine - INFO - Epoch(val) [5][4760/6282] eta: 0:01:39 time: 0.0656 data_time: 0.0099 memory: 768 2022/08/10 17:51:38 - mmengine - INFO - Epoch(val) [5][4780/6282] eta: 0:01:31 time: 0.0610 data_time: 0.0081 memory: 768 2022/08/10 17:51:40 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:33 time: 0.0631 data_time: 0.0063 memory: 768 2022/08/10 17:51:41 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:01:34 time: 0.0644 data_time: 0.0094 memory: 809 2022/08/10 17:51:42 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:38 time: 0.0684 data_time: 0.0081 memory: 809 2022/08/10 17:51:44 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:40 time: 0.0705 data_time: 0.0085 memory: 809 2022/08/10 17:51:46 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:02:13 time: 0.0954 data_time: 0.0094 memory: 809 2022/08/10 17:51:47 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:44 time: 0.0757 data_time: 0.0152 memory: 809 2022/08/10 17:51:49 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:34 time: 0.0696 data_time: 0.0071 memory: 811 2022/08/10 17:51:50 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:01:32 time: 0.0692 data_time: 0.0081 memory: 811 2022/08/10 17:51:51 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:34 time: 0.0716 data_time: 0.0072 memory: 811 2022/08/10 17:51:53 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:28 time: 0.0677 data_time: 0.0065 memory: 811 2022/08/10 17:51:54 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:01:32 time: 0.0721 data_time: 0.0089 memory: 811 2022/08/10 17:51:56 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:01:21 time: 0.0647 data_time: 0.0093 memory: 811 2022/08/10 17:51:57 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:01:17 time: 0.0621 data_time: 0.0094 memory: 743 2022/08/10 17:51:58 - mmengine - INFO - Epoch(val) [5][5060/6282] eta: 0:01:13 time: 0.0605 data_time: 0.0086 memory: 743 2022/08/10 17:51:59 - mmengine - INFO - Epoch(val) [5][5080/6282] eta: 0:01:13 time: 0.0612 data_time: 0.0091 memory: 743 2022/08/10 17:52:00 - mmengine - INFO - Epoch(val) [5][5100/6282] eta: 0:01:12 time: 0.0610 data_time: 0.0091 memory: 743 2022/08/10 17:52:02 - mmengine - INFO - Epoch(val) [5][5120/6282] eta: 0:01:11 time: 0.0615 data_time: 0.0093 memory: 743 2022/08/10 17:52:03 - mmengine - INFO - Epoch(val) [5][5140/6282] eta: 0:01:10 time: 0.0615 data_time: 0.0102 memory: 738 2022/08/10 17:52:04 - mmengine - INFO - Epoch(val) [5][5160/6282] eta: 0:01:07 time: 0.0600 data_time: 0.0078 memory: 738 2022/08/10 17:52:06 - mmengine - INFO - Epoch(val) [5][5180/6282] eta: 0:01:21 time: 0.0742 data_time: 0.0084 memory: 738 2022/08/10 17:52:07 - mmengine - INFO - Epoch(val) [5][5200/6282] eta: 0:01:04 time: 0.0600 data_time: 0.0083 memory: 738 2022/08/10 17:52:08 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:01:01 time: 0.0582 data_time: 0.0072 memory: 738 2022/08/10 17:52:09 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:00:54 time: 0.0523 data_time: 0.0064 memory: 736 2022/08/10 17:52:10 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:00:59 time: 0.0586 data_time: 0.0086 memory: 736 2022/08/10 17:52:11 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:01:02 time: 0.0622 data_time: 0.0083 memory: 736 2022/08/10 17:52:13 - mmengine - INFO - Epoch(val) [5][5300/6282] eta: 0:00:58 time: 0.0594 data_time: 0.0092 memory: 736 2022/08/10 17:52:15 - mmengine - INFO - Epoch(val) [5][5320/6282] eta: 0:02:14 time: 0.1402 data_time: 0.0867 memory: 738 2022/08/10 17:52:17 - mmengine - INFO - Epoch(val) [5][5340/6282] eta: 0:01:11 time: 0.0762 data_time: 0.0289 memory: 738 2022/08/10 17:52:18 - mmengine - INFO - Epoch(val) [5][5360/6282] eta: 0:01:10 time: 0.0767 data_time: 0.0263 memory: 738 2022/08/10 17:52:20 - mmengine - INFO - Epoch(val) [5][5380/6282] eta: 0:01:14 time: 0.0821 data_time: 0.0306 memory: 738 2022/08/10 17:52:22 - mmengine - INFO - Epoch(val) [5][5400/6282] eta: 0:01:09 time: 0.0783 data_time: 0.0259 memory: 738 2022/08/10 17:52:23 - mmengine - INFO - Epoch(val) [5][5420/6282] eta: 0:00:49 time: 0.0578 data_time: 0.0057 memory: 738 2022/08/10 17:52:24 - mmengine - INFO - Epoch(val) [5][5440/6282] eta: 0:00:52 time: 0.0621 data_time: 0.0113 memory: 738 2022/08/10 17:52:25 - mmengine - INFO - Epoch(val) [5][5460/6282] eta: 0:00:50 time: 0.0611 data_time: 0.0092 memory: 738 2022/08/10 17:52:27 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:00:55 time: 0.0687 data_time: 0.0109 memory: 738 2022/08/10 17:52:28 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:00:45 time: 0.0578 data_time: 0.0068 memory: 738 2022/08/10 17:52:29 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:46 time: 0.0607 data_time: 0.0081 memory: 763 2022/08/10 17:52:30 - mmengine - INFO - Epoch(val) [5][5540/6282] eta: 0:00:40 time: 0.0545 data_time: 0.0050 memory: 763 2022/08/10 17:52:31 - mmengine - INFO - Epoch(val) [5][5560/6282] eta: 0:00:39 time: 0.0552 data_time: 0.0057 memory: 763 2022/08/10 17:52:32 - mmengine - INFO - Epoch(val) [5][5580/6282] eta: 0:00:37 time: 0.0535 data_time: 0.0060 memory: 763 2022/08/10 17:52:33 - mmengine - INFO - Epoch(val) [5][5600/6282] eta: 0:00:38 time: 0.0567 data_time: 0.0066 memory: 763 2022/08/10 17:52:35 - mmengine - INFO - Epoch(val) [5][5620/6282] eta: 0:00:38 time: 0.0589 data_time: 0.0073 memory: 763 2022/08/10 17:52:36 - mmengine - INFO - Epoch(val) [5][5640/6282] eta: 0:00:38 time: 0.0601 data_time: 0.0096 memory: 738 2022/08/10 17:52:37 - mmengine - INFO - Epoch(val) [5][5660/6282] eta: 0:00:36 time: 0.0584 data_time: 0.0075 memory: 738 2022/08/10 17:52:38 - mmengine - INFO - Epoch(val) [5][5680/6282] eta: 0:00:37 time: 0.0619 data_time: 0.0097 memory: 738 2022/08/10 17:52:39 - mmengine - INFO - Epoch(val) [5][5700/6282] eta: 0:00:34 time: 0.0599 data_time: 0.0079 memory: 738 2022/08/10 17:52:41 - mmengine - INFO - Epoch(val) [5][5720/6282] eta: 0:00:33 time: 0.0589 data_time: 0.0068 memory: 780 2022/08/10 17:52:42 - mmengine - INFO - Epoch(val) [5][5740/6282] eta: 0:00:34 time: 0.0630 data_time: 0.0077 memory: 780 2022/08/10 17:52:43 - mmengine - INFO - Epoch(val) [5][5760/6282] eta: 0:00:31 time: 0.0603 data_time: 0.0082 memory: 780 2022/08/10 17:52:44 - mmengine - INFO - Epoch(val) [5][5780/6282] eta: 0:00:29 time: 0.0595 data_time: 0.0049 memory: 780 2022/08/10 17:52:46 - mmengine - INFO - Epoch(val) [5][5800/6282] eta: 0:00:29 time: 0.0605 data_time: 0.0077 memory: 780 2022/08/10 17:52:47 - mmengine - INFO - Epoch(val) [5][5820/6282] eta: 0:00:32 time: 0.0709 data_time: 0.0076 memory: 780 2022/08/10 17:52:48 - mmengine - INFO - Epoch(val) [5][5840/6282] eta: 0:00:25 time: 0.0581 data_time: 0.0075 memory: 763 2022/08/10 17:52:49 - mmengine - INFO - Epoch(val) [5][5860/6282] eta: 0:00:23 time: 0.0555 data_time: 0.0056 memory: 763 2022/08/10 17:52:50 - mmengine - INFO - Epoch(val) [5][5880/6282] eta: 0:00:20 time: 0.0515 data_time: 0.0040 memory: 763 2022/08/10 17:52:51 - mmengine - INFO - Epoch(val) [5][5900/6282] eta: 0:00:19 time: 0.0510 data_time: 0.0043 memory: 763 2022/08/10 17:52:52 - mmengine - INFO - Epoch(val) [5][5920/6282] eta: 0:00:18 time: 0.0507 data_time: 0.0054 memory: 763 2022/08/10 17:52:53 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:16 time: 0.0483 data_time: 0.0042 memory: 738 2022/08/10 17:52:54 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:16 time: 0.0515 data_time: 0.0049 memory: 738 2022/08/10 17:52:55 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:15 time: 0.0520 data_time: 0.0043 memory: 738 2022/08/10 17:52:57 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:16 time: 0.0575 data_time: 0.0045 memory: 809 2022/08/10 17:52:58 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:22 time: 0.0858 data_time: 0.0050 memory: 809 2022/08/10 17:52:59 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:14 time: 0.0591 data_time: 0.0050 memory: 809 2022/08/10 17:53:01 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:17 time: 0.0773 data_time: 0.0235 memory: 809 2022/08/10 17:53:02 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:12 time: 0.0619 data_time: 0.0071 memory: 809 2022/08/10 17:53:04 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:12 time: 0.0661 data_time: 0.0115 memory: 809 2022/08/10 17:53:05 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:09 time: 0.0581 data_time: 0.0042 memory: 809 2022/08/10 17:53:06 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:08 time: 0.0611 data_time: 0.0055 memory: 809 2022/08/10 17:53:07 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:07 time: 0.0628 data_time: 0.0098 memory: 809 2022/08/10 17:53:08 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:06 time: 0.0628 data_time: 0.0112 memory: 809 2022/08/10 17:53:10 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:04 time: 0.0548 data_time: 0.0032 memory: 809 2022/08/10 17:53:11 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:03 time: 0.0550 data_time: 0.0036 memory: 809 2022/08/10 17:53:12 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:02 time: 0.0546 data_time: 0.0035 memory: 809 2022/08/10 17:53:13 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:01 time: 0.0555 data_time: 0.0036 memory: 809 2022/08/10 17:53:14 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0548 data_time: 0.0036 memory: 809 2022/08/10 17:58:33 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.2576 2022/08/10 17:58:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_5.pth is removed 2022/08/10 17:58:37 - mmengine - INFO - The best checkpoint with 0.2576 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2022/08/10 17:58:49 - mmengine - INFO - Epoch(train) [6][20/3842] lr: 5.1783e-02 eta: 2:53:25 time: 0.6181 data_time: 0.1253 memory: 10484 grad_norm: 0.1768 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.6795 recall@top3: 0.9359 prec@top3: 0.5897 recall@top5: 0.9744 prec@top5: 0.3846 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 17:59:01 - mmengine - INFO - Epoch(train) [6][40/3842] lr: 5.1712e-02 eta: 2:53:15 time: 0.5701 data_time: 0.0213 memory: 10484 grad_norm: 0.1679 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7222 recall@top3: 0.8056 prec@top3: 0.6349 recall@top5: 0.9167 prec@top5: 0.4381 loss_action_cls: 0.0488 loss: 0.0488 2022/08/10 17:59:12 - mmengine - INFO - Epoch(train) [6][60/3842] lr: 5.1641e-02 eta: 2:53:04 time: 0.5396 data_time: 0.0234 memory: 10484 grad_norm: 0.1672 recall@thr=0.5: 0.7138 prec@thr=0.5: 0.8696 recall@top3: 0.8406 prec@top3: 0.8116 recall@top5: 0.9457 prec@top5: 0.5565 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 17:59:22 - mmengine - INFO - Epoch(train) [6][80/3842] lr: 5.1570e-02 eta: 2:52:52 time: 0.5111 data_time: 0.0208 memory: 10484 grad_norm: 0.1655 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.9333 recall@top3: 0.8167 prec@top3: 0.8444 recall@top5: 0.9778 prec@top5: 0.6000 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 17:59:33 - mmengine - INFO - Epoch(train) [6][100/3842] lr: 5.1499e-02 eta: 2:52:42 time: 0.5463 data_time: 0.0161 memory: 10484 grad_norm: 0.1785 recall@thr=0.5: 0.6307 prec@thr=0.5: 0.8158 recall@top3: 0.7860 prec@top3: 0.6667 recall@top5: 0.8816 prec@top5: 0.4737 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 17:59:43 - mmengine - INFO - Epoch(train) [6][120/3842] lr: 5.1428e-02 eta: 2:52:30 time: 0.5045 data_time: 0.0171 memory: 10484 grad_norm: 0.1805 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.9074 recall@top3: 0.7176 prec@top3: 0.7778 recall@top5: 0.9222 prec@top5: 0.6444 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 17:59:54 - mmengine - INFO - Epoch(train) [6][140/3842] lr: 5.1357e-02 eta: 2:52:19 time: 0.5361 data_time: 0.0174 memory: 10484 grad_norm: 0.1758 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6583 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4600 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 18:00:07 - mmengine - INFO - Epoch(train) [6][160/3842] lr: 5.1286e-02 eta: 2:52:11 time: 0.6764 data_time: 0.0202 memory: 10484 grad_norm: 0.1760 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.9722 recall@top3: 0.6528 prec@top3: 0.7222 recall@top5: 0.8611 prec@top5: 0.5833 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 18:00:18 - mmengine - INFO - Epoch(train) [6][180/3842] lr: 5.1214e-02 eta: 2:52:00 time: 0.5437 data_time: 0.0197 memory: 10484 grad_norm: 0.1761 recall@thr=0.5: 0.6367 prec@thr=0.5: 0.7000 recall@top3: 0.7067 prec@top3: 0.5000 recall@top5: 0.8100 prec@top5: 0.3600 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 18:00:28 - mmengine - INFO - Epoch(train) [6][200/3842] lr: 5.1143e-02 eta: 2:51:48 time: 0.4976 data_time: 0.0152 memory: 10484 grad_norm: 0.1786 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.6100 recall@top3: 0.6933 prec@top3: 0.4800 recall@top5: 0.8667 prec@top5: 0.3760 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 18:00:39 - mmengine - INFO - Epoch(train) [6][220/3842] lr: 5.1072e-02 eta: 2:51:38 time: 0.5552 data_time: 0.0222 memory: 10484 grad_norm: 0.1946 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6667 recall@top3: 0.7619 prec@top3: 0.5000 recall@top5: 0.9286 prec@top5: 0.3857 loss_action_cls: 0.0498 loss: 0.0498 2022/08/10 18:00:49 - mmengine - INFO - Epoch(train) [6][240/3842] lr: 5.1000e-02 eta: 2:51:26 time: 0.5049 data_time: 0.0175 memory: 10484 grad_norm: 0.1735 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6923 recall@top3: 0.7821 prec@top3: 0.5385 recall@top5: 0.8590 prec@top5: 0.3538 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 18:01:00 - mmengine - INFO - Epoch(train) [6][260/3842] lr: 5.0929e-02 eta: 2:51:15 time: 0.5319 data_time: 0.0176 memory: 10484 grad_norm: 0.1685 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8039 recall@top3: 0.7745 prec@top3: 0.7059 recall@top5: 0.8824 prec@top5: 0.4941 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 18:01:10 - mmengine - INFO - Epoch(train) [6][280/3842] lr: 5.0857e-02 eta: 2:51:04 time: 0.5115 data_time: 0.0179 memory: 10484 grad_norm: 0.1771 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7315 recall@top3: 0.7500 prec@top3: 0.5741 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 18:01:21 - mmengine - INFO - Epoch(train) [6][300/3842] lr: 5.0785e-02 eta: 2:50:53 time: 0.5334 data_time: 0.0177 memory: 10484 grad_norm: 0.1833 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5490 recall@top3: 0.7206 prec@top3: 0.5490 recall@top5: 0.8725 prec@top5: 0.4000 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 18:01:31 - mmengine - INFO - Epoch(train) [6][320/3842] lr: 5.0714e-02 eta: 2:50:42 time: 0.5257 data_time: 0.0165 memory: 10484 grad_norm: 0.1701 recall@thr=0.5: 0.9394 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 18:01:41 - mmengine - INFO - Epoch(train) [6][340/3842] lr: 5.0642e-02 eta: 2:50:30 time: 0.4996 data_time: 0.0163 memory: 10484 grad_norm: 0.1796 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9487 recall@top3: 0.9615 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 18:01:52 - mmengine - INFO - Epoch(train) [6][360/3842] lr: 5.0570e-02 eta: 2:50:19 time: 0.5271 data_time: 0.0157 memory: 10484 grad_norm: 0.1768 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6250 recall@top3: 0.9062 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 18:02:02 - mmengine - INFO - Epoch(train) [6][380/3842] lr: 5.0498e-02 eta: 2:50:07 time: 0.5002 data_time: 0.0163 memory: 10484 grad_norm: 0.1699 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7949 recall@top3: 0.8462 prec@top3: 0.5897 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 18:02:12 - mmengine - INFO - Epoch(train) [6][400/3842] lr: 5.0426e-02 eta: 2:49:56 time: 0.5246 data_time: 0.0170 memory: 10484 grad_norm: 0.1677 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.7889 recall@top3: 0.6778 prec@top3: 0.6889 recall@top5: 0.9556 prec@top5: 0.5467 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 18:02:22 - mmengine - INFO - Epoch(train) [6][420/3842] lr: 5.0354e-02 eta: 2:49:44 time: 0.4988 data_time: 0.0162 memory: 10484 grad_norm: 0.1863 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.9524 recall@top3: 0.8274 prec@top3: 0.8810 recall@top5: 0.9464 prec@top5: 0.6143 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 18:02:33 - mmengine - INFO - Epoch(train) [6][440/3842] lr: 5.0282e-02 eta: 2:49:34 time: 0.5549 data_time: 0.0173 memory: 10484 grad_norm: 0.1824 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.8548 recall@top3: 0.8611 prec@top3: 0.7619 recall@top5: 0.9762 prec@top5: 0.5238 loss_action_cls: 0.0414 loss: 0.0414 2022/08/10 18:02:45 - mmengine - INFO - Epoch(train) [6][460/3842] lr: 5.0210e-02 eta: 2:49:24 time: 0.5914 data_time: 0.0209 memory: 10484 grad_norm: 0.1712 recall@thr=0.5: 0.8048 prec@thr=0.5: 0.8310 recall@top3: 0.8464 prec@top3: 0.7619 recall@top5: 0.8964 prec@top5: 0.5000 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 18:02:57 - mmengine - INFO - Epoch(train) [6][480/3842] lr: 5.0138e-02 eta: 2:49:14 time: 0.6200 data_time: 0.0192 memory: 10484 grad_norm: 0.1753 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.8167 recall@top3: 0.5833 prec@top3: 0.6000 recall@top5: 0.8583 prec@top5: 0.5200 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 18:03:08 - mmengine - INFO - Epoch(train) [6][500/3842] lr: 5.0066e-02 eta: 2:49:03 time: 0.5311 data_time: 0.0176 memory: 10484 grad_norm: 0.1774 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.9306 recall@top3: 0.8148 prec@top3: 0.7593 recall@top5: 0.9889 prec@top5: 0.6000 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 18:03:19 - mmengine - INFO - Epoch(train) [6][520/3842] lr: 4.9993e-02 eta: 2:48:52 time: 0.5223 data_time: 0.0169 memory: 10484 grad_norm: 0.1772 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7500 recall@top3: 0.6639 prec@top3: 0.6667 recall@top5: 0.8500 prec@top5: 0.5167 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 18:03:29 - mmengine - INFO - Epoch(train) [6][540/3842] lr: 4.9921e-02 eta: 2:48:41 time: 0.5155 data_time: 0.0182 memory: 10484 grad_norm: 0.1780 recall@thr=0.5: 0.8595 prec@thr=0.5: 0.9365 recall@top3: 0.8540 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5905 loss_action_cls: 0.0479 loss: 0.0479 2022/08/10 18:03:39 - mmengine - INFO - Epoch(train) [6][560/3842] lr: 4.9849e-02 eta: 2:48:29 time: 0.4988 data_time: 0.0185 memory: 10484 grad_norm: 0.1846 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.7381 recall@top3: 0.9643 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 18:03:50 - mmengine - INFO - Epoch(train) [6][580/3842] lr: 4.9776e-02 eta: 2:48:18 time: 0.5370 data_time: 0.0148 memory: 10484 grad_norm: 0.1762 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8833 recall@top3: 0.8500 prec@top3: 0.7500 recall@top5: 0.9625 prec@top5: 0.5200 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 18:04:00 - mmengine - INFO - Epoch(train) [6][600/3842] lr: 4.9704e-02 eta: 2:48:07 time: 0.5335 data_time: 0.0177 memory: 10484 grad_norm: 0.1744 recall@thr=0.5: 0.8728 prec@thr=0.5: 0.8772 recall@top3: 0.9254 prec@top3: 0.6491 recall@top5: 0.9693 prec@top5: 0.4211 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 18:04:13 - mmengine - INFO - Epoch(train) [6][620/3842] lr: 4.9631e-02 eta: 2:47:58 time: 0.6389 data_time: 0.0190 memory: 10484 grad_norm: 0.1696 recall@thr=0.5: 0.8778 prec@thr=0.5: 0.9000 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 18:04:23 - mmengine - INFO - Epoch(train) [6][640/3842] lr: 4.9559e-02 eta: 2:47:47 time: 0.5102 data_time: 0.0164 memory: 10484 grad_norm: 0.1774 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.8704 recall@top3: 0.7269 prec@top3: 0.6667 recall@top5: 0.9074 prec@top5: 0.5111 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 18:04:34 - mmengine - INFO - Epoch(train) [6][660/3842] lr: 4.9486e-02 eta: 2:47:35 time: 0.5236 data_time: 0.0170 memory: 10484 grad_norm: 0.1649 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7611 recall@top3: 0.8444 prec@top3: 0.7111 recall@top5: 0.9556 prec@top5: 0.4667 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 18:04:44 - mmengine - INFO - Epoch(train) [6][680/3842] lr: 4.9414e-02 eta: 2:47:24 time: 0.5030 data_time: 0.0194 memory: 10484 grad_norm: 0.1765 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7976 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.9524 prec@top5: 0.3714 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 18:04:54 - mmengine - INFO - Epoch(train) [6][700/3842] lr: 4.9341e-02 eta: 2:47:13 time: 0.5254 data_time: 0.0176 memory: 10484 grad_norm: 0.1760 recall@thr=0.5: 0.7067 prec@thr=0.5: 0.7611 recall@top3: 0.7600 prec@top3: 0.6667 recall@top5: 0.9256 prec@top5: 0.5067 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 18:05:05 - mmengine - INFO - Epoch(train) [6][720/3842] lr: 4.9268e-02 eta: 2:47:02 time: 0.5450 data_time: 0.0191 memory: 10484 grad_norm: 0.1801 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8417 recall@top3: 0.8417 prec@top3: 0.6667 recall@top5: 0.8667 prec@top5: 0.4100 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 18:05:16 - mmengine - INFO - Epoch(train) [6][740/3842] lr: 4.9195e-02 eta: 2:46:51 time: 0.5442 data_time: 0.0206 memory: 10484 grad_norm: 0.1757 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.7222 recall@top3: 0.9667 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 18:05:27 - mmengine - INFO - Epoch(train) [6][760/3842] lr: 4.9122e-02 eta: 2:46:40 time: 0.5478 data_time: 0.0162 memory: 10484 grad_norm: 0.1865 recall@thr=0.5: 0.8643 prec@thr=0.5: 0.8889 recall@top3: 0.8746 prec@top3: 0.8571 recall@top5: 0.9175 prec@top5: 0.5524 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 18:05:38 - mmengine - INFO - Epoch(train) [6][780/3842] lr: 4.9049e-02 eta: 2:46:29 time: 0.5355 data_time: 0.0428 memory: 10484 grad_norm: 0.1746 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7857 recall@top3: 0.8750 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.5286 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 18:05:43 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 18:05:48 - mmengine - INFO - Epoch(train) [6][800/3842] lr: 4.8977e-02 eta: 2:46:18 time: 0.5210 data_time: 0.0184 memory: 10484 grad_norm: 0.1751 recall@thr=0.5: 0.5114 prec@thr=0.5: 0.7061 recall@top3: 0.6974 prec@top3: 0.7018 recall@top5: 0.8930 prec@top5: 0.5579 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 18:05:59 - mmengine - INFO - Epoch(train) [6][820/3842] lr: 4.8904e-02 eta: 2:46:07 time: 0.5284 data_time: 0.0161 memory: 10484 grad_norm: 0.1766 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.8889 recall@top3: 0.6744 prec@top3: 0.7111 recall@top5: 0.8467 prec@top5: 0.5200 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 18:06:15 - mmengine - INFO - Epoch(train) [6][840/3842] lr: 4.8830e-02 eta: 2:46:02 time: 0.8394 data_time: 0.0209 memory: 10484 grad_norm: 0.1763 recall@thr=0.5: 0.5768 prec@thr=0.5: 0.6703 recall@top3: 0.6493 prec@top3: 0.6522 recall@top5: 0.9203 prec@top5: 0.5652 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 18:06:28 - mmengine - INFO - Epoch(train) [6][860/3842] lr: 4.8757e-02 eta: 2:45:52 time: 0.6180 data_time: 0.0831 memory: 10484 grad_norm: 0.1732 recall@thr=0.5: 0.6588 prec@thr=0.5: 0.9342 recall@top3: 0.8605 prec@top3: 0.9123 recall@top5: 1.0000 prec@top5: 0.6526 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 18:06:38 - mmengine - INFO - Epoch(train) [6][880/3842] lr: 4.8684e-02 eta: 2:45:41 time: 0.5311 data_time: 0.0186 memory: 10484 grad_norm: 0.1730 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7685 recall@top3: 0.8750 prec@top3: 0.6296 recall@top5: 0.8750 prec@top5: 0.3778 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 18:06:49 - mmengine - INFO - Epoch(train) [6][900/3842] lr: 4.8611e-02 eta: 2:45:30 time: 0.5255 data_time: 0.0166 memory: 10484 grad_norm: 0.1870 recall@thr=0.5: 0.8939 prec@thr=0.5: 0.8333 recall@top3: 0.9545 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 18:06:59 - mmengine - INFO - Epoch(train) [6][920/3842] lr: 4.8538e-02 eta: 2:45:19 time: 0.5152 data_time: 0.0175 memory: 10484 grad_norm: 0.1751 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9333 recall@top3: 0.9167 prec@top3: 0.5111 recall@top5: 0.9667 prec@top5: 0.3333 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 18:07:12 - mmengine - INFO - Epoch(train) [6][940/3842] lr: 4.8465e-02 eta: 2:45:09 time: 0.6221 data_time: 0.0181 memory: 10484 grad_norm: 0.1750 recall@thr=0.5: 0.3462 prec@thr=0.5: 0.5256 recall@top3: 0.6538 prec@top3: 0.5385 recall@top5: 0.8846 prec@top5: 0.4462 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 18:07:25 - mmengine - INFO - Epoch(train) [6][960/3842] lr: 4.8391e-02 eta: 2:45:01 time: 0.6619 data_time: 0.0221 memory: 10484 grad_norm: 0.1739 recall@thr=0.5: 0.7494 prec@thr=0.5: 0.8580 recall@top3: 0.8247 prec@top3: 0.6914 recall@top5: 0.8568 prec@top5: 0.4370 loss_action_cls: 0.0485 loss: 0.0485 2022/08/10 18:07:37 - mmengine - INFO - Epoch(train) [6][980/3842] lr: 4.8318e-02 eta: 2:44:51 time: 0.5966 data_time: 0.0178 memory: 10484 grad_norm: 0.1746 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.7843 recall@top3: 0.8824 prec@top3: 0.7451 recall@top5: 0.9118 prec@top5: 0.4588 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 18:07:49 - mmengine - INFO - Epoch(train) [6][1000/3842] lr: 4.8244e-02 eta: 2:44:41 time: 0.5859 data_time: 0.0589 memory: 10484 grad_norm: 0.1841 recall@thr=0.5: 0.8788 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 18:07:59 - mmengine - INFO - Epoch(train) [6][1020/3842] lr: 4.8171e-02 eta: 2:44:30 time: 0.5332 data_time: 0.0153 memory: 10484 grad_norm: 0.1840 recall@thr=0.5: 0.7476 prec@thr=0.5: 0.8175 recall@top3: 0.8262 prec@top3: 0.6825 recall@top5: 0.9032 prec@top5: 0.4571 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 18:08:10 - mmengine - INFO - Epoch(train) [6][1040/3842] lr: 4.8097e-02 eta: 2:44:19 time: 0.5449 data_time: 0.0188 memory: 10484 grad_norm: 0.1709 recall@thr=0.5: 0.7688 prec@thr=0.5: 0.8646 recall@top3: 0.8521 prec@top3: 0.7500 recall@top5: 0.9354 prec@top5: 0.5250 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 18:08:21 - mmengine - INFO - Epoch(train) [6][1060/3842] lr: 4.8024e-02 eta: 2:44:08 time: 0.5218 data_time: 0.0185 memory: 10484 grad_norm: 0.1827 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6679 recall@top3: 0.7262 prec@top3: 0.4762 recall@top5: 0.9643 prec@top5: 0.3714 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 18:08:31 - mmengine - INFO - Epoch(train) [6][1080/3842] lr: 4.7950e-02 eta: 2:43:57 time: 0.5364 data_time: 0.0179 memory: 10484 grad_norm: 0.1704 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8333 recall@top3: 0.8864 prec@top3: 0.7576 recall@top5: 0.9318 prec@top5: 0.4909 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 18:08:42 - mmengine - INFO - Epoch(train) [6][1100/3842] lr: 4.7877e-02 eta: 2:43:45 time: 0.5103 data_time: 0.0170 memory: 10484 grad_norm: 0.1909 recall@thr=0.5: 0.9254 prec@thr=0.5: 0.9123 recall@top3: 0.9123 prec@top3: 0.7895 recall@top5: 1.0000 prec@top5: 0.5368 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 18:08:52 - mmengine - INFO - Epoch(train) [6][1120/3842] lr: 4.7803e-02 eta: 2:43:34 time: 0.5194 data_time: 0.0170 memory: 10484 grad_norm: 0.1749 recall@thr=0.5: 0.6149 prec@thr=0.5: 0.8289 recall@top3: 0.7526 prec@top3: 0.7368 recall@top5: 0.8254 prec@top5: 0.5053 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 18:09:03 - mmengine - INFO - Epoch(train) [6][1140/3842] lr: 4.7729e-02 eta: 2:43:23 time: 0.5296 data_time: 0.0174 memory: 10484 grad_norm: 0.1835 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.9250 recall@top3: 0.8958 prec@top3: 0.9000 recall@top5: 0.9875 prec@top5: 0.6000 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 18:09:15 - mmengine - INFO - Epoch(train) [6][1160/3842] lr: 4.7655e-02 eta: 2:43:14 time: 0.6367 data_time: 0.0175 memory: 10484 grad_norm: 0.1720 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.9561 recall@top3: 0.8860 prec@top3: 0.7719 recall@top5: 0.9386 prec@top5: 0.4947 loss_action_cls: 0.0451 loss: 0.0451 2022/08/10 18:09:25 - mmengine - INFO - Epoch(train) [6][1180/3842] lr: 4.7582e-02 eta: 2:43:02 time: 0.5009 data_time: 0.0161 memory: 10484 grad_norm: 0.1832 recall@thr=0.5: 0.8009 prec@thr=0.5: 0.9352 recall@top3: 0.8519 prec@top3: 0.8519 recall@top5: 0.9583 prec@top5: 0.5889 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 18:09:36 - mmengine - INFO - Epoch(train) [6][1200/3842] lr: 4.7508e-02 eta: 2:42:51 time: 0.5242 data_time: 0.0160 memory: 10484 grad_norm: 0.1743 recall@thr=0.5: 0.9231 prec@thr=0.5: 1.0000 recall@top3: 0.9615 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 18:09:46 - mmengine - INFO - Epoch(train) [6][1220/3842] lr: 4.7434e-02 eta: 2:42:39 time: 0.5005 data_time: 0.0178 memory: 10484 grad_norm: 0.1689 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.7708 recall@top3: 0.7708 prec@top3: 0.7381 recall@top5: 0.9315 prec@top5: 0.5429 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 18:09:57 - mmengine - INFO - Epoch(train) [6][1240/3842] lr: 4.7360e-02 eta: 2:42:29 time: 0.5472 data_time: 0.0189 memory: 10484 grad_norm: 0.1708 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7396 recall@top3: 0.8333 prec@top3: 0.5208 recall@top5: 0.8958 prec@top5: 0.3375 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 18:10:08 - mmengine - INFO - Epoch(train) [6][1260/3842] lr: 4.7286e-02 eta: 2:42:18 time: 0.5601 data_time: 0.0175 memory: 10484 grad_norm: 0.1856 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8182 recall@top3: 0.6818 prec@top3: 0.6364 recall@top5: 0.9545 prec@top5: 0.5455 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 18:10:22 - mmengine - INFO - Epoch(train) [6][1280/3842] lr: 4.7212e-02 eta: 2:42:10 time: 0.7276 data_time: 0.2126 memory: 10484 grad_norm: 0.1752 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7500 recall@top3: 0.7396 prec@top3: 0.6875 recall@top5: 0.9531 prec@top5: 0.5375 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 18:10:33 - mmengine - INFO - Epoch(train) [6][1300/3842] lr: 4.7138e-02 eta: 2:41:59 time: 0.5312 data_time: 0.0221 memory: 10484 grad_norm: 0.1763 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8981 recall@top3: 0.7963 prec@top3: 0.7963 recall@top5: 0.8796 prec@top5: 0.5333 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 18:10:45 - mmengine - INFO - Epoch(train) [6][1320/3842] lr: 4.7064e-02 eta: 2:41:49 time: 0.5903 data_time: 0.0189 memory: 10484 grad_norm: 0.1828 recall@thr=0.5: 0.5939 prec@thr=0.5: 0.6439 recall@top3: 0.6356 prec@top3: 0.5909 recall@top5: 0.8015 prec@top5: 0.4636 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 18:10:55 - mmengine - INFO - Epoch(train) [6][1340/3842] lr: 4.6990e-02 eta: 2:41:38 time: 0.5037 data_time: 0.0184 memory: 10484 grad_norm: 0.1802 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7143 recall@top3: 0.7619 prec@top3: 0.5714 recall@top5: 0.9167 prec@top5: 0.4286 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 18:11:06 - mmengine - INFO - Epoch(train) [6][1360/3842] lr: 4.6915e-02 eta: 2:41:27 time: 0.5471 data_time: 0.0171 memory: 10484 grad_norm: 0.1807 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9010 recall@top3: 0.7604 prec@top3: 0.8125 recall@top5: 0.9583 prec@top5: 0.6250 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:11:17 - mmengine - INFO - Epoch(train) [6][1380/3842] lr: 4.6841e-02 eta: 2:41:16 time: 0.5578 data_time: 0.0177 memory: 10484 grad_norm: 0.1762 recall@thr=0.5: 0.4235 prec@thr=0.5: 0.5686 recall@top3: 0.5608 prec@top3: 0.4902 recall@top5: 0.7118 prec@top5: 0.3882 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 18:11:28 - mmengine - INFO - Epoch(train) [6][1400/3842] lr: 4.6767e-02 eta: 2:41:06 time: 0.5683 data_time: 0.0206 memory: 10484 grad_norm: 0.1807 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.8000 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.9444 prec@top5: 0.3867 loss_action_cls: 0.0449 loss: 0.0449 2022/08/10 18:11:39 - mmengine - INFO - Epoch(train) [6][1420/3842] lr: 4.6693e-02 eta: 2:40:55 time: 0.5381 data_time: 0.0155 memory: 10484 grad_norm: 0.1815 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8264 recall@top3: 0.8264 prec@top3: 0.6389 recall@top5: 0.9792 prec@top5: 0.4667 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 18:11:50 - mmengine - INFO - Epoch(train) [6][1440/3842] lr: 4.6618e-02 eta: 2:40:44 time: 0.5270 data_time: 0.0167 memory: 10484 grad_norm: 0.1664 recall@thr=0.5: 0.5745 prec@thr=0.5: 0.6765 recall@top3: 0.6490 prec@top3: 0.5294 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 18:12:00 - mmengine - INFO - Epoch(train) [6][1460/3842] lr: 4.6544e-02 eta: 2:40:33 time: 0.5080 data_time: 0.0162 memory: 10484 grad_norm: 0.1635 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.5667 recall@top5: 0.9333 prec@top5: 0.3900 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 18:12:11 - mmengine - INFO - Epoch(train) [6][1480/3842] lr: 4.6469e-02 eta: 2:40:22 time: 0.5641 data_time: 0.0198 memory: 10484 grad_norm: 0.1781 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7262 recall@top3: 0.7024 prec@top3: 0.6667 recall@top5: 0.8631 prec@top5: 0.5143 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 18:12:25 - mmengine - INFO - Epoch(train) [6][1500/3842] lr: 4.6395e-02 eta: 2:40:13 time: 0.6759 data_time: 0.0171 memory: 10484 grad_norm: 0.1794 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.8605 recall@top3: 0.8509 prec@top3: 0.8421 recall@top5: 0.9474 prec@top5: 0.5684 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 18:12:35 - mmengine - INFO - Epoch(train) [6][1520/3842] lr: 4.6321e-02 eta: 2:40:02 time: 0.5203 data_time: 0.0171 memory: 10484 grad_norm: 0.1752 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.9020 recall@top3: 0.8186 prec@top3: 0.8824 recall@top5: 0.8971 prec@top5: 0.5882 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 18:12:48 - mmengine - INFO - Epoch(train) [6][1540/3842] lr: 4.6246e-02 eta: 2:39:53 time: 0.6456 data_time: 0.0181 memory: 10484 grad_norm: 0.1853 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7281 recall@top3: 0.7895 prec@top3: 0.7018 recall@top5: 0.9649 prec@top5: 0.4947 loss_action_cls: 0.0494 loss: 0.0494 2022/08/10 18:12:59 - mmengine - INFO - Epoch(train) [6][1560/3842] lr: 4.6171e-02 eta: 2:39:42 time: 0.5429 data_time: 0.0186 memory: 10484 grad_norm: 0.1653 recall@thr=0.5: 0.8144 prec@thr=0.5: 0.8235 recall@top3: 0.8182 prec@top3: 0.6818 recall@top5: 0.9886 prec@top5: 0.5182 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 18:13:10 - mmengine - INFO - Epoch(train) [6][1580/3842] lr: 4.6097e-02 eta: 2:39:31 time: 0.5296 data_time: 0.0170 memory: 10484 grad_norm: 0.1788 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7647 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9363 prec@top5: 0.4588 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 18:13:20 - mmengine - INFO - Epoch(train) [6][1600/3842] lr: 4.6022e-02 eta: 2:39:20 time: 0.5024 data_time: 0.0184 memory: 10484 grad_norm: 0.1845 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7727 recall@top3: 0.8182 prec@top3: 0.6364 recall@top5: 0.9545 prec@top5: 0.4545 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 18:13:30 - mmengine - INFO - Epoch(train) [6][1620/3842] lr: 4.5948e-02 eta: 2:39:09 time: 0.5451 data_time: 0.0181 memory: 10484 grad_norm: 0.2007 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6875 recall@top3: 0.7240 prec@top3: 0.5208 recall@top5: 0.8646 prec@top5: 0.3875 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 18:13:41 - mmengine - INFO - Epoch(train) [6][1640/3842] lr: 4.5873e-02 eta: 2:38:58 time: 0.5408 data_time: 0.0240 memory: 10484 grad_norm: 0.1781 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7698 recall@top3: 0.8730 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4952 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 18:13:52 - mmengine - INFO - Epoch(train) [6][1660/3842] lr: 4.5798e-02 eta: 2:38:47 time: 0.5295 data_time: 0.0163 memory: 10484 grad_norm: 0.1754 recall@thr=0.5: 0.8464 prec@thr=0.5: 0.7607 recall@top3: 0.7048 prec@top3: 0.6429 recall@top5: 0.9643 prec@top5: 0.5571 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 18:14:03 - mmengine - INFO - Epoch(train) [6][1680/3842] lr: 4.5723e-02 eta: 2:38:36 time: 0.5442 data_time: 0.0173 memory: 10484 grad_norm: 0.1771 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6889 recall@top3: 0.7000 prec@top3: 0.4667 recall@top5: 0.8333 prec@top5: 0.3200 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 18:14:13 - mmengine - INFO - Epoch(train) [6][1700/3842] lr: 4.5648e-02 eta: 2:38:24 time: 0.5005 data_time: 0.0172 memory: 10484 grad_norm: 0.1735 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.4881 recall@top3: 0.5774 prec@top3: 0.4048 recall@top5: 0.8810 prec@top5: 0.3429 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 18:14:28 - mmengine - INFO - Epoch(train) [6][1720/3842] lr: 4.5574e-02 eta: 2:38:18 time: 0.7764 data_time: 0.0153 memory: 10484 grad_norm: 0.1740 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8421 recall@top3: 0.8860 prec@top3: 0.7193 recall@top5: 0.9737 prec@top5: 0.4737 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 18:14:39 - mmengine - INFO - Epoch(train) [6][1740/3842] lr: 4.5499e-02 eta: 2:38:06 time: 0.5319 data_time: 0.0179 memory: 10484 grad_norm: 0.1828 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.9000 recall@top3: 0.7667 prec@top3: 0.7333 recall@top5: 0.8500 prec@top5: 0.4933 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 18:14:49 - mmengine - INFO - Epoch(train) [6][1760/3842] lr: 4.5424e-02 eta: 2:37:55 time: 0.5196 data_time: 0.0168 memory: 10484 grad_norm: 0.1817 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6905 recall@top3: 0.6944 prec@top3: 0.5873 recall@top5: 0.8929 prec@top5: 0.4476 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 18:14:59 - mmengine - INFO - Epoch(train) [6][1780/3842] lr: 4.5349e-02 eta: 2:37:44 time: 0.5013 data_time: 0.0164 memory: 10484 grad_norm: 0.1885 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.5986 recall@top3: 0.6812 prec@top3: 0.6232 recall@top5: 0.9203 prec@top5: 0.4609 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 18:15:04 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 18:15:10 - mmengine - INFO - Epoch(train) [6][1800/3842] lr: 4.5274e-02 eta: 2:37:33 time: 0.5296 data_time: 0.0181 memory: 10484 grad_norm: 0.1859 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8176 recall@top3: 0.7352 prec@top3: 0.7407 recall@top5: 0.8870 prec@top5: 0.5556 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 18:15:20 - mmengine - INFO - Epoch(train) [6][1820/3842] lr: 4.5199e-02 eta: 2:37:21 time: 0.5264 data_time: 0.0172 memory: 10484 grad_norm: 0.1789 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8385 recall@top3: 0.7917 prec@top3: 0.7292 recall@top5: 0.9688 prec@top5: 0.5500 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 18:15:32 - mmengine - INFO - Epoch(train) [6][1840/3842] lr: 4.5124e-02 eta: 2:37:11 time: 0.5902 data_time: 0.0171 memory: 10484 grad_norm: 0.1806 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.6052 recall@top3: 0.9062 prec@top3: 0.7292 recall@top5: 0.9531 prec@top5: 0.4750 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 18:15:43 - mmengine - INFO - Epoch(train) [6][1860/3842] lr: 4.5049e-02 eta: 2:37:00 time: 0.5234 data_time: 0.0162 memory: 10484 grad_norm: 0.1805 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.9048 recall@top3: 0.8690 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.4429 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 18:15:53 - mmengine - INFO - Epoch(train) [6][1880/3842] lr: 4.4974e-02 eta: 2:36:49 time: 0.5243 data_time: 0.0176 memory: 10484 grad_norm: 0.1761 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.7448 recall@top3: 0.7656 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 18:16:04 - mmengine - INFO - Epoch(train) [6][1900/3842] lr: 4.4899e-02 eta: 2:36:38 time: 0.5209 data_time: 0.0171 memory: 10484 grad_norm: 0.1920 recall@thr=0.5: 0.3509 prec@thr=0.5: 0.5307 recall@top3: 0.6184 prec@top3: 0.4912 recall@top5: 0.9649 prec@top5: 0.4316 loss_action_cls: 0.0414 loss: 0.0414 2022/08/10 18:16:14 - mmengine - INFO - Epoch(train) [6][1920/3842] lr: 4.4823e-02 eta: 2:36:27 time: 0.5331 data_time: 0.0179 memory: 10484 grad_norm: 0.1745 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7278 recall@top3: 0.7569 prec@top3: 0.6389 recall@top5: 0.9375 prec@top5: 0.4667 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 18:16:25 - mmengine - INFO - Epoch(train) [6][1940/3842] lr: 4.4748e-02 eta: 2:36:16 time: 0.5254 data_time: 0.0180 memory: 10484 grad_norm: 0.1759 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.8889 recall@top3: 0.8413 prec@top3: 0.8254 recall@top5: 0.9444 prec@top5: 0.5619 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 18:16:35 - mmengine - INFO - Epoch(train) [6][1960/3842] lr: 4.4673e-02 eta: 2:36:05 time: 0.5268 data_time: 0.0171 memory: 10484 grad_norm: 0.1797 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6961 recall@top3: 0.8529 prec@top3: 0.7059 recall@top5: 0.9412 prec@top5: 0.4824 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 18:16:46 - mmengine - INFO - Epoch(train) [6][1980/3842] lr: 4.4598e-02 eta: 2:35:53 time: 0.5237 data_time: 0.0170 memory: 10484 grad_norm: 0.1743 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7451 recall@top3: 0.7892 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4471 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 18:16:56 - mmengine - INFO - Epoch(train) [6][2000/3842] lr: 4.4522e-02 eta: 2:35:42 time: 0.5236 data_time: 0.0192 memory: 10484 grad_norm: 0.1809 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.6894 recall@top3: 0.8258 prec@top3: 0.6970 recall@top5: 0.9394 prec@top5: 0.4818 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 18:17:06 - mmengine - INFO - Epoch(train) [6][2020/3842] lr: 4.4447e-02 eta: 2:35:31 time: 0.5023 data_time: 0.0173 memory: 10484 grad_norm: 0.1770 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.8573 recall@top3: 0.8906 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 18:17:16 - mmengine - INFO - Epoch(train) [6][2040/3842] lr: 4.4372e-02 eta: 2:35:19 time: 0.5004 data_time: 0.0164 memory: 10484 grad_norm: 0.1754 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8952 recall@top3: 0.9405 prec@top3: 0.8571 recall@top5: 0.9881 prec@top5: 0.5429 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 18:17:27 - mmengine - INFO - Epoch(train) [6][2060/3842] lr: 4.4296e-02 eta: 2:35:08 time: 0.5249 data_time: 0.0172 memory: 10484 grad_norm: 0.1773 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7000 recall@top3: 0.7167 prec@top3: 0.6333 recall@top5: 0.8833 prec@top5: 0.4800 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 18:17:38 - mmengine - INFO - Epoch(train) [6][2080/3842] lr: 4.4221e-02 eta: 2:34:57 time: 0.5499 data_time: 0.0178 memory: 10484 grad_norm: 0.1841 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8958 recall@top3: 0.7500 prec@top3: 0.6389 recall@top5: 0.8889 prec@top5: 0.4833 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 18:17:49 - mmengine - INFO - Epoch(train) [6][2100/3842] lr: 4.4146e-02 eta: 2:34:46 time: 0.5331 data_time: 0.0186 memory: 10484 grad_norm: 0.1732 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7604 recall@top3: 0.7344 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.5375 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 18:18:00 - mmengine - INFO - Epoch(train) [6][2120/3842] lr: 4.4070e-02 eta: 2:34:36 time: 0.5520 data_time: 0.0195 memory: 10484 grad_norm: 0.1764 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8021 recall@top3: 0.7604 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.5000 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 18:18:10 - mmengine - INFO - Epoch(train) [6][2140/3842] lr: 4.3995e-02 eta: 2:34:24 time: 0.5048 data_time: 0.0166 memory: 10484 grad_norm: 0.1811 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.8333 recall@top3: 0.9167 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.3714 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 18:18:20 - mmengine - INFO - Epoch(train) [6][2160/3842] lr: 4.3919e-02 eta: 2:34:13 time: 0.5249 data_time: 0.0174 memory: 10484 grad_norm: 0.1721 recall@thr=0.5: 0.6695 prec@thr=0.5: 0.8764 recall@top3: 0.7184 prec@top3: 0.7471 recall@top5: 0.8966 prec@top5: 0.5724 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 18:18:31 - mmengine - INFO - Epoch(train) [6][2180/3842] lr: 4.3844e-02 eta: 2:34:02 time: 0.5254 data_time: 0.0191 memory: 10484 grad_norm: 0.1823 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7500 recall@top3: 0.8929 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4000 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 18:18:41 - mmengine - INFO - Epoch(train) [6][2200/3842] lr: 4.3768e-02 eta: 2:33:51 time: 0.5272 data_time: 0.0174 memory: 10484 grad_norm: 0.1780 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8690 recall@top3: 0.9583 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 18:18:52 - mmengine - INFO - Epoch(train) [6][2220/3842] lr: 4.3692e-02 eta: 2:33:40 time: 0.5299 data_time: 0.0185 memory: 10484 grad_norm: 0.1722 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7111 recall@top3: 0.6000 prec@top3: 0.5111 recall@top5: 0.8889 prec@top5: 0.4400 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 18:19:02 - mmengine - INFO - Epoch(train) [6][2240/3842] lr: 4.3617e-02 eta: 2:33:28 time: 0.5253 data_time: 0.0166 memory: 10484 grad_norm: 0.1755 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.9167 recall@top3: 0.8667 prec@top3: 0.6944 recall@top5: 0.9278 prec@top5: 0.4667 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 18:19:13 - mmengine - INFO - Epoch(train) [6][2260/3842] lr: 4.3541e-02 eta: 2:33:18 time: 0.5535 data_time: 0.0183 memory: 10484 grad_norm: 0.1822 recall@thr=0.5: 0.8141 prec@thr=0.5: 0.9103 recall@top3: 0.8590 prec@top3: 0.8718 recall@top5: 0.9487 prec@top5: 0.5846 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 18:19:23 - mmengine - INFO - Epoch(train) [6][2280/3842] lr: 4.3465e-02 eta: 2:33:06 time: 0.5034 data_time: 0.0161 memory: 10484 grad_norm: 0.1810 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8988 recall@top3: 0.8274 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 18:19:34 - mmengine - INFO - Epoch(train) [6][2300/3842] lr: 4.3390e-02 eta: 2:32:55 time: 0.5278 data_time: 0.0173 memory: 10484 grad_norm: 0.1753 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.8080 recall@top3: 0.8406 prec@top3: 0.7681 recall@top5: 0.9239 prec@top5: 0.5217 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 18:19:44 - mmengine - INFO - Epoch(train) [6][2320/3842] lr: 4.3314e-02 eta: 2:32:44 time: 0.4973 data_time: 0.0177 memory: 10484 grad_norm: 0.1717 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.8750 recall@top3: 0.8750 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 18:19:55 - mmengine - INFO - Epoch(train) [6][2340/3842] lr: 4.3238e-02 eta: 2:32:33 time: 0.5483 data_time: 0.0179 memory: 10484 grad_norm: 0.1731 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.9286 recall@top3: 0.8929 prec@top3: 0.6905 recall@top5: 0.9286 prec@top5: 0.4429 loss_action_cls: 0.0467 loss: 0.0467 2022/08/10 18:20:06 - mmengine - INFO - Epoch(train) [6][2360/3842] lr: 4.3163e-02 eta: 2:32:22 time: 0.5404 data_time: 0.0171 memory: 10484 grad_norm: 0.1847 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8947 recall@top3: 0.9211 prec@top3: 0.8246 recall@top5: 0.9386 prec@top5: 0.5053 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 18:20:16 - mmengine - INFO - Epoch(train) [6][2380/3842] lr: 4.3087e-02 eta: 2:32:11 time: 0.5384 data_time: 0.0188 memory: 10484 grad_norm: 0.1728 recall@thr=0.5: 0.8565 prec@thr=0.5: 0.9583 recall@top3: 0.9352 prec@top3: 0.7593 recall@top5: 0.9861 prec@top5: 0.4889 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 18:20:27 - mmengine - INFO - Epoch(train) [6][2400/3842] lr: 4.3011e-02 eta: 2:32:00 time: 0.5031 data_time: 0.0170 memory: 10484 grad_norm: 0.1858 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8125 recall@top3: 0.7917 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 18:20:37 - mmengine - INFO - Epoch(train) [6][2420/3842] lr: 4.2935e-02 eta: 2:31:49 time: 0.5265 data_time: 0.0187 memory: 10484 grad_norm: 0.1752 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.8333 recall@top3: 0.8542 prec@top3: 0.7500 recall@top5: 0.9583 prec@top5: 0.5125 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 18:20:48 - mmengine - INFO - Epoch(train) [6][2440/3842] lr: 4.2859e-02 eta: 2:31:38 time: 0.5350 data_time: 0.0161 memory: 10484 grad_norm: 0.1845 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8500 recall@top3: 0.9000 prec@top3: 0.6444 recall@top5: 0.9222 prec@top5: 0.4133 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 18:20:58 - mmengine - INFO - Epoch(train) [6][2460/3842] lr: 4.2783e-02 eta: 2:31:26 time: 0.4978 data_time: 0.0167 memory: 10484 grad_norm: 0.1794 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.5729 recall@top3: 0.7917 prec@top3: 0.5208 recall@top5: 0.8750 prec@top5: 0.3625 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 18:21:08 - mmengine - INFO - Epoch(train) [6][2480/3842] lr: 4.2707e-02 eta: 2:31:15 time: 0.5226 data_time: 0.0158 memory: 10484 grad_norm: 0.1915 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.6578 recall@top3: 0.6961 prec@top3: 0.5686 recall@top5: 0.8284 prec@top5: 0.4353 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 18:21:18 - mmengine - INFO - Epoch(train) [6][2500/3842] lr: 4.2632e-02 eta: 2:31:03 time: 0.5003 data_time: 0.0175 memory: 10484 grad_norm: 0.1726 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8148 recall@top3: 0.7963 prec@top3: 0.6852 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 18:21:29 - mmengine - INFO - Epoch(train) [6][2520/3842] lr: 4.2556e-02 eta: 2:30:52 time: 0.5362 data_time: 0.0143 memory: 10484 grad_norm: 0.1665 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8750 recall@top3: 1.0000 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:21:39 - mmengine - INFO - Epoch(train) [6][2540/3842] lr: 4.2480e-02 eta: 2:30:41 time: 0.5270 data_time: 0.0248 memory: 10484 grad_norm: 0.1816 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.8046 recall@top3: 0.8519 prec@top3: 0.7407 recall@top5: 0.9861 prec@top5: 0.5222 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 18:21:50 - mmengine - INFO - Epoch(train) [6][2560/3842] lr: 4.2404e-02 eta: 2:30:30 time: 0.5132 data_time: 0.0172 memory: 10484 grad_norm: 0.1916 recall@thr=0.5: 0.5056 prec@thr=0.5: 0.5111 recall@top3: 0.7111 prec@top3: 0.5556 recall@top5: 0.9667 prec@top5: 0.4667 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 18:22:00 - mmengine - INFO - Epoch(train) [6][2580/3842] lr: 4.2328e-02 eta: 2:30:19 time: 0.5257 data_time: 0.0198 memory: 10484 grad_norm: 0.1753 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8111 recall@top3: 0.9222 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 18:22:10 - mmengine - INFO - Epoch(train) [6][2600/3842] lr: 4.2252e-02 eta: 2:30:07 time: 0.5005 data_time: 0.0191 memory: 10484 grad_norm: 0.1806 recall@thr=0.5: 0.6632 prec@thr=0.5: 0.6447 recall@top3: 0.6895 prec@top3: 0.5965 recall@top5: 0.8088 prec@top5: 0.4316 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 18:22:21 - mmengine - INFO - Epoch(train) [6][2620/3842] lr: 4.2176e-02 eta: 2:29:56 time: 0.5255 data_time: 0.0177 memory: 10484 grad_norm: 0.1767 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7315 recall@top3: 0.8981 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 18:22:31 - mmengine - INFO - Epoch(train) [6][2640/3842] lr: 4.2099e-02 eta: 2:29:45 time: 0.5031 data_time: 0.0207 memory: 10484 grad_norm: 0.1776 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.7549 recall@top3: 0.6225 prec@top3: 0.5882 recall@top5: 0.9069 prec@top5: 0.5176 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:22:41 - mmengine - INFO - Epoch(train) [6][2660/3842] lr: 4.2023e-02 eta: 2:29:34 time: 0.5261 data_time: 0.0193 memory: 10484 grad_norm: 0.1786 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.8333 recall@top3: 0.7794 prec@top3: 0.6863 recall@top5: 0.9853 prec@top5: 0.5412 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 18:22:51 - mmengine - INFO - Epoch(train) [6][2680/3842] lr: 4.1947e-02 eta: 2:29:22 time: 0.5005 data_time: 0.0164 memory: 10484 grad_norm: 0.1775 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7500 recall@top3: 0.9167 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4833 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 18:23:02 - mmengine - INFO - Epoch(train) [6][2700/3842] lr: 4.1871e-02 eta: 2:29:11 time: 0.5256 data_time: 0.0189 memory: 10484 grad_norm: 0.1731 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.6447 recall@top3: 0.6404 prec@top3: 0.6491 recall@top5: 0.8684 prec@top5: 0.5263 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 18:23:12 - mmengine - INFO - Epoch(train) [6][2720/3842] lr: 4.1795e-02 eta: 2:29:00 time: 0.5239 data_time: 0.0171 memory: 10484 grad_norm: 0.1802 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.7333 recall@top3: 0.8707 prec@top3: 0.6667 recall@top5: 0.9520 prec@top5: 0.4480 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 18:23:23 - mmengine - INFO - Epoch(train) [6][2740/3842] lr: 4.1719e-02 eta: 2:28:49 time: 0.5293 data_time: 0.0182 memory: 10484 grad_norm: 0.1758 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8556 recall@top3: 0.8056 prec@top3: 0.7111 recall@top5: 0.9333 prec@top5: 0.4933 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 18:23:33 - mmengine - INFO - Epoch(train) [6][2760/3842] lr: 4.1643e-02 eta: 2:28:38 time: 0.5038 data_time: 0.0158 memory: 10484 grad_norm: 0.1712 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.7937 recall@top3: 0.8532 prec@top3: 0.7619 recall@top5: 0.9048 prec@top5: 0.4952 loss_action_cls: 0.0507 loss: 0.0507 2022/08/10 18:23:44 - mmengine - INFO - Epoch(train) [6][2780/3842] lr: 4.1566e-02 eta: 2:28:27 time: 0.5256 data_time: 0.0190 memory: 10484 grad_norm: 0.1748 recall@thr=0.5: 0.4708 prec@thr=0.5: 0.6000 recall@top3: 0.5833 prec@top3: 0.5000 recall@top5: 0.8125 prec@top5: 0.4100 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 18:23:49 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 18:23:54 - mmengine - INFO - Epoch(train) [6][2800/3842] lr: 4.1490e-02 eta: 2:28:15 time: 0.4991 data_time: 0.0161 memory: 10484 grad_norm: 0.1772 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.6583 recall@top3: 0.7292 prec@top3: 0.6500 recall@top5: 0.8042 prec@top5: 0.4500 loss_action_cls: 0.0464 loss: 0.0464 2022/08/10 18:24:04 - mmengine - INFO - Epoch(train) [6][2820/3842] lr: 4.1414e-02 eta: 2:28:04 time: 0.5222 data_time: 0.0164 memory: 10484 grad_norm: 0.1759 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8681 recall@top3: 0.8715 prec@top3: 0.6944 recall@top5: 0.9861 prec@top5: 0.4833 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 18:24:14 - mmengine - INFO - Epoch(train) [6][2840/3842] lr: 4.1338e-02 eta: 2:27:53 time: 0.5229 data_time: 0.0171 memory: 10484 grad_norm: 0.1750 recall@thr=0.5: 0.6179 prec@thr=0.5: 0.7949 recall@top3: 0.6974 prec@top3: 0.7436 recall@top5: 0.8949 prec@top5: 0.5846 loss_action_cls: 0.0467 loss: 0.0467 2022/08/10 18:24:25 - mmengine - INFO - Epoch(train) [6][2860/3842] lr: 4.1261e-02 eta: 2:27:42 time: 0.5460 data_time: 0.0166 memory: 10484 grad_norm: 0.1786 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7639 recall@top3: 0.8472 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 18:24:36 - mmengine - INFO - Epoch(train) [6][2880/3842] lr: 4.1185e-02 eta: 2:27:31 time: 0.5324 data_time: 0.0198 memory: 10484 grad_norm: 0.1825 recall@thr=0.5: 0.9470 prec@thr=0.5: 0.9545 recall@top3: 0.9773 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:24:47 - mmengine - INFO - Epoch(train) [6][2900/3842] lr: 4.1109e-02 eta: 2:27:20 time: 0.5275 data_time: 0.0205 memory: 10484 grad_norm: 0.1873 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8623 recall@top3: 0.8659 prec@top3: 0.6232 recall@top5: 0.9203 prec@top5: 0.4087 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 18:24:57 - mmengine - INFO - Epoch(train) [6][2920/3842] lr: 4.1033e-02 eta: 2:27:09 time: 0.5055 data_time: 0.0173 memory: 10484 grad_norm: 0.1749 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.7632 recall@top3: 0.8333 prec@top3: 0.6491 recall@top5: 0.8684 prec@top5: 0.4105 loss_action_cls: 0.0488 loss: 0.0488 2022/08/10 18:25:07 - mmengine - INFO - Epoch(train) [6][2940/3842] lr: 4.0956e-02 eta: 2:26:58 time: 0.5239 data_time: 0.0167 memory: 10484 grad_norm: 0.1834 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.7143 recall@top3: 0.8750 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 18:25:18 - mmengine - INFO - Epoch(train) [6][2960/3842] lr: 4.0880e-02 eta: 2:26:46 time: 0.5239 data_time: 0.0162 memory: 10484 grad_norm: 0.1857 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7731 recall@top3: 0.7685 prec@top3: 0.6667 recall@top5: 0.8981 prec@top5: 0.4889 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:25:28 - mmengine - INFO - Epoch(train) [6][2980/3842] lr: 4.0804e-02 eta: 2:26:35 time: 0.5229 data_time: 0.0187 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.8417 recall@top3: 0.8533 prec@top3: 0.8000 recall@top5: 0.9467 prec@top5: 0.5600 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 18:25:39 - mmengine - INFO - Epoch(train) [6][3000/3842] lr: 4.0727e-02 eta: 2:26:24 time: 0.5283 data_time: 0.0185 memory: 10484 grad_norm: 0.1687 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8333 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 18:25:49 - mmengine - INFO - Epoch(train) [6][3020/3842] lr: 4.0651e-02 eta: 2:26:13 time: 0.5258 data_time: 0.0203 memory: 10484 grad_norm: 0.1827 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8125 recall@top3: 0.8021 prec@top3: 0.7292 recall@top5: 0.9062 prec@top5: 0.5125 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 18:26:00 - mmengine - INFO - Epoch(train) [6][3040/3842] lr: 4.0574e-02 eta: 2:26:02 time: 0.5320 data_time: 0.0177 memory: 10484 grad_norm: 0.1807 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.8039 recall@top3: 0.7647 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 18:26:10 - mmengine - INFO - Epoch(train) [6][3060/3842] lr: 4.0498e-02 eta: 2:25:51 time: 0.5241 data_time: 0.0176 memory: 10484 grad_norm: 0.1801 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.9167 recall@top3: 0.7917 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 18:26:21 - mmengine - INFO - Epoch(train) [6][3080/3842] lr: 4.0422e-02 eta: 2:25:40 time: 0.5253 data_time: 0.0179 memory: 10484 grad_norm: 0.1786 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.7917 recall@top3: 0.7708 prec@top3: 0.6875 recall@top5: 0.9792 prec@top5: 0.5500 loss_action_cls: 0.0446 loss: 0.0446 2022/08/10 18:26:31 - mmengine - INFO - Epoch(train) [6][3100/3842] lr: 4.0345e-02 eta: 2:25:29 time: 0.5333 data_time: 0.0175 memory: 10484 grad_norm: 0.1710 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.6979 recall@top3: 0.7917 prec@top3: 0.6042 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 18:26:42 - mmengine - INFO - Epoch(train) [6][3120/3842] lr: 4.0269e-02 eta: 2:25:18 time: 0.5022 data_time: 0.0174 memory: 10484 grad_norm: 0.1755 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.8824 recall@top3: 0.9608 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.3882 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 18:26:52 - mmengine - INFO - Epoch(train) [6][3140/3842] lr: 4.0192e-02 eta: 2:25:07 time: 0.5233 data_time: 0.0167 memory: 10484 grad_norm: 0.1752 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5714 recall@top3: 0.7619 prec@top3: 0.4286 recall@top5: 0.9048 prec@top5: 0.3143 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 18:27:03 - mmengine - INFO - Epoch(train) [6][3160/3842] lr: 4.0116e-02 eta: 2:24:56 time: 0.5320 data_time: 0.0182 memory: 10484 grad_norm: 0.1914 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8750 recall@top3: 0.8906 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.4750 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 18:27:14 - mmengine - INFO - Epoch(train) [6][3180/3842] lr: 4.0039e-02 eta: 2:24:45 time: 0.5604 data_time: 0.0189 memory: 10484 grad_norm: 0.1798 recall@thr=0.5: 0.6596 prec@thr=0.5: 0.6842 recall@top3: 0.7737 prec@top3: 0.7018 recall@top5: 0.9789 prec@top5: 0.5579 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:27:24 - mmengine - INFO - Epoch(train) [6][3200/3842] lr: 3.9963e-02 eta: 2:24:34 time: 0.5218 data_time: 0.0172 memory: 10484 grad_norm: 0.1784 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8690 recall@top3: 0.8452 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 18:27:34 - mmengine - INFO - Epoch(train) [6][3220/3842] lr: 3.9886e-02 eta: 2:24:23 time: 0.5061 data_time: 0.0180 memory: 10484 grad_norm: 0.1773 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.6736 recall@top3: 0.8056 prec@top3: 0.6944 recall@top5: 0.9167 prec@top5: 0.4833 loss_action_cls: 0.0484 loss: 0.0484 2022/08/10 18:27:45 - mmengine - INFO - Epoch(train) [6][3240/3842] lr: 3.9810e-02 eta: 2:24:11 time: 0.5249 data_time: 0.0182 memory: 10484 grad_norm: 0.1777 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8413 recall@top3: 0.8175 prec@top3: 0.7302 recall@top5: 0.9524 prec@top5: 0.5333 loss_action_cls: 0.0446 loss: 0.0446 2022/08/10 18:27:56 - mmengine - INFO - Epoch(train) [6][3260/3842] lr: 3.9733e-02 eta: 2:24:01 time: 0.5480 data_time: 0.0181 memory: 10484 grad_norm: 0.1837 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8472 recall@top3: 0.8259 prec@top3: 0.8704 recall@top5: 0.9278 prec@top5: 0.5889 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 18:28:06 - mmengine - INFO - Epoch(train) [6][3280/3842] lr: 3.9657e-02 eta: 2:23:50 time: 0.5266 data_time: 0.0177 memory: 10484 grad_norm: 0.1876 recall@thr=0.5: 0.5479 prec@thr=0.5: 0.7865 recall@top3: 0.5688 prec@top3: 0.5833 recall@top5: 0.7375 prec@top5: 0.4625 loss_action_cls: 0.0479 loss: 0.0479 2022/08/10 18:28:17 - mmengine - INFO - Epoch(train) [6][3300/3842] lr: 3.9580e-02 eta: 2:23:39 time: 0.5255 data_time: 0.0181 memory: 10484 grad_norm: 0.1776 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.9615 recall@top3: 0.9423 prec@top3: 0.8462 recall@top5: 1.0000 prec@top5: 0.5538 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 18:28:27 - mmengine - INFO - Epoch(train) [6][3320/3842] lr: 3.9504e-02 eta: 2:23:28 time: 0.5246 data_time: 0.0187 memory: 10484 grad_norm: 0.1759 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7639 recall@top3: 0.8264 prec@top3: 0.7500 recall@top5: 0.9236 prec@top5: 0.5167 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:28:38 - mmengine - INFO - Epoch(train) [6][3340/3842] lr: 3.9427e-02 eta: 2:23:17 time: 0.5270 data_time: 0.0178 memory: 10484 grad_norm: 0.1876 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7778 recall@top3: 0.8333 prec@top3: 0.6389 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 18:28:49 - mmengine - INFO - Epoch(train) [6][3360/3842] lr: 3.9351e-02 eta: 2:23:06 time: 0.5299 data_time: 0.0216 memory: 10484 grad_norm: 0.1840 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8529 recall@top3: 0.8824 prec@top3: 0.7451 recall@top5: 0.9216 prec@top5: 0.4706 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 18:28:59 - mmengine - INFO - Epoch(train) [6][3380/3842] lr: 3.9274e-02 eta: 2:22:54 time: 0.5261 data_time: 0.0148 memory: 10484 grad_norm: 0.1704 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.7921 recall@top3: 0.8492 prec@top3: 0.8095 recall@top5: 0.9206 prec@top5: 0.5238 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 18:29:09 - mmengine - INFO - Epoch(train) [6][3400/3842] lr: 3.9197e-02 eta: 2:22:43 time: 0.4984 data_time: 0.0186 memory: 10484 grad_norm: 0.1800 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8667 recall@top3: 0.8000 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 18:29:19 - mmengine - INFO - Epoch(train) [6][3420/3842] lr: 3.9121e-02 eta: 2:22:32 time: 0.5237 data_time: 0.0141 memory: 10484 grad_norm: 0.1736 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7807 recall@top3: 0.8246 prec@top3: 0.6316 recall@top5: 0.8947 prec@top5: 0.4211 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 18:29:30 - mmengine - INFO - Epoch(train) [6][3440/3842] lr: 3.9044e-02 eta: 2:22:21 time: 0.5250 data_time: 0.0191 memory: 10484 grad_norm: 0.1850 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.7847 recall@top3: 0.8264 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:29:40 - mmengine - INFO - Epoch(train) [6][3460/3842] lr: 3.8968e-02 eta: 2:22:10 time: 0.5208 data_time: 0.0179 memory: 10484 grad_norm: 0.1814 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8750 recall@top3: 0.7135 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4875 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 18:29:51 - mmengine - INFO - Epoch(train) [6][3480/3842] lr: 3.8891e-02 eta: 2:21:59 time: 0.5205 data_time: 0.0174 memory: 10484 grad_norm: 0.1856 recall@thr=0.5: 0.7198 prec@thr=0.5: 0.8854 recall@top3: 0.7417 prec@top3: 0.7083 recall@top5: 0.8750 prec@top5: 0.5375 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 18:30:01 - mmengine - INFO - Epoch(train) [6][3500/3842] lr: 3.8814e-02 eta: 2:21:48 time: 0.5272 data_time: 0.0269 memory: 10484 grad_norm: 0.1741 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.7803 recall@top3: 0.7197 prec@top3: 0.5152 recall@top5: 0.8333 prec@top5: 0.3727 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 18:30:11 - mmengine - INFO - Epoch(train) [6][3520/3842] lr: 3.8738e-02 eta: 2:21:36 time: 0.5021 data_time: 0.0208 memory: 10484 grad_norm: 0.1852 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.6722 recall@top3: 0.6037 prec@top3: 0.6481 recall@top5: 0.7778 prec@top5: 0.5000 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 18:30:22 - mmengine - INFO - Epoch(train) [6][3540/3842] lr: 3.8661e-02 eta: 2:21:25 time: 0.5247 data_time: 0.0225 memory: 10484 grad_norm: 0.1736 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6667 recall@top3: 0.7556 prec@top3: 0.6222 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:30:33 - mmengine - INFO - Epoch(train) [6][3560/3842] lr: 3.8585e-02 eta: 2:21:14 time: 0.5325 data_time: 0.0175 memory: 10484 grad_norm: 0.1734 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.9405 recall@top3: 0.8452 prec@top3: 0.5952 recall@top5: 0.9524 prec@top5: 0.4000 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 18:30:43 - mmengine - INFO - Epoch(train) [6][3580/3842] lr: 3.8508e-02 eta: 2:21:03 time: 0.5365 data_time: 0.0240 memory: 10484 grad_norm: 0.1813 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.6778 recall@top3: 0.6111 prec@top3: 0.5111 recall@top5: 0.8000 prec@top5: 0.4000 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 18:30:54 - mmengine - INFO - Epoch(train) [6][3600/3842] lr: 3.8431e-02 eta: 2:20:52 time: 0.5323 data_time: 0.0166 memory: 10484 grad_norm: 0.1743 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6894 recall@top3: 0.6932 prec@top3: 0.6364 recall@top5: 0.8258 prec@top5: 0.4727 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 18:31:04 - mmengine - INFO - Epoch(train) [6][3620/3842] lr: 3.8355e-02 eta: 2:20:41 time: 0.5189 data_time: 0.0174 memory: 10484 grad_norm: 0.1900 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8229 recall@top3: 0.8646 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4375 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 18:31:15 - mmengine - INFO - Epoch(train) [6][3640/3842] lr: 3.8278e-02 eta: 2:20:30 time: 0.5302 data_time: 0.0175 memory: 10484 grad_norm: 0.1836 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.8292 recall@top3: 0.6938 prec@top3: 0.7500 recall@top5: 0.8222 prec@top5: 0.5500 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 18:31:25 - mmengine - INFO - Epoch(train) [6][3660/3842] lr: 3.8201e-02 eta: 2:20:19 time: 0.5245 data_time: 0.0156 memory: 10484 grad_norm: 0.1848 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7778 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.8889 prec@top5: 0.4267 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 18:31:36 - mmengine - INFO - Epoch(train) [6][3680/3842] lr: 3.8125e-02 eta: 2:20:08 time: 0.5240 data_time: 0.0172 memory: 10484 grad_norm: 0.1898 recall@thr=0.5: 0.6847 prec@thr=0.5: 0.7800 recall@top3: 0.7913 prec@top3: 0.5600 recall@top5: 0.9533 prec@top5: 0.4160 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 18:31:47 - mmengine - INFO - Epoch(train) [6][3700/3842] lr: 3.8048e-02 eta: 2:19:57 time: 0.5387 data_time: 0.0181 memory: 10484 grad_norm: 0.1736 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6944 recall@top3: 0.9375 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:31:57 - mmengine - INFO - Epoch(train) [6][3720/3842] lr: 3.7971e-02 eta: 2:19:46 time: 0.4981 data_time: 0.0170 memory: 10484 grad_norm: 0.1758 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8431 recall@top3: 0.9118 prec@top3: 0.9020 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 18:32:07 - mmengine - INFO - Epoch(train) [6][3740/3842] lr: 3.7895e-02 eta: 2:19:35 time: 0.5374 data_time: 0.0137 memory: 10484 grad_norm: 0.1730 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7685 recall@top3: 0.7083 prec@top3: 0.5185 recall@top5: 0.7917 prec@top5: 0.3556 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 18:32:18 - mmengine - INFO - Epoch(train) [6][3760/3842] lr: 3.7818e-02 eta: 2:19:24 time: 0.5278 data_time: 0.0175 memory: 10484 grad_norm: 0.1730 recall@thr=0.5: 0.7687 prec@thr=0.5: 0.8133 recall@top3: 0.7747 prec@top3: 0.6533 recall@top5: 0.9480 prec@top5: 0.4800 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 18:32:29 - mmengine - INFO - Epoch(train) [6][3780/3842] lr: 3.7741e-02 eta: 2:19:13 time: 0.5427 data_time: 0.0175 memory: 10484 grad_norm: 0.1866 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.7143 recall@top3: 0.7460 prec@top3: 0.6349 recall@top5: 0.8968 prec@top5: 0.4667 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 18:32:34 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 18:32:39 - mmengine - INFO - Epoch(train) [6][3800/3842] lr: 3.7665e-02 eta: 2:19:02 time: 0.5293 data_time: 0.0176 memory: 10484 grad_norm: 0.1947 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7500 recall@top3: 0.6964 prec@top3: 0.6905 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 18:32:50 - mmengine - INFO - Epoch(train) [6][3820/3842] lr: 3.7588e-02 eta: 2:18:51 time: 0.5285 data_time: 0.0176 memory: 10484 grad_norm: 0.1717 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8241 recall@top3: 0.7639 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 18:33:01 - mmengine - INFO - Epoch(train) [6][3840/3842] lr: 3.7511e-02 eta: 2:18:40 time: 0.5392 data_time: 0.0170 memory: 10484 grad_norm: 0.1781 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7778 recall@top3: 0.7407 prec@top3: 0.5185 recall@top5: 0.8889 prec@top5: 0.3778 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 18:33:02 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 18:33:02 - mmengine - INFO - Epoch(train) [6][3842/3842] lr: 3.7504e-02 eta: 2:18:40 time: 0.5287 data_time: 0.0181 memory: 10484 grad_norm: 0.1875 recall@thr=0.5: 0.7167 prec@thr=0.5: 1.0000 recall@top3: 0.8500 prec@top3: 1.0000 recall@top5: 0.9500 prec@top5: 0.6800 loss_action_cls: 0.0451 loss: 0.0451 2022/08/10 18:33:02 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/10 18:33:08 - mmengine - INFO - Epoch(val) [6][20/6282] eta: 0:08:00 time: 0.0767 data_time: 0.0254 memory: 703 2022/08/10 18:33:09 - mmengine - INFO - Epoch(val) [6][40/6282] eta: 0:05:54 time: 0.0569 data_time: 0.0077 memory: 703 2022/08/10 18:33:10 - mmengine - INFO - Epoch(val) [6][60/6282] eta: 0:05:44 time: 0.0554 data_time: 0.0057 memory: 703 2022/08/10 18:33:11 - mmengine - INFO - Epoch(val) [6][80/6282] eta: 0:05:51 time: 0.0567 data_time: 0.0084 memory: 703 2022/08/10 18:33:13 - mmengine - INFO - Epoch(val) [6][100/6282] eta: 0:05:41 time: 0.0553 data_time: 0.0077 memory: 703 2022/08/10 18:33:14 - mmengine - INFO - Epoch(val) [6][120/6282] eta: 0:07:03 time: 0.0688 data_time: 0.0072 memory: 809 2022/08/10 18:33:15 - mmengine - INFO - Epoch(val) [6][140/6282] eta: 0:07:26 time: 0.0726 data_time: 0.0094 memory: 809 2022/08/10 18:33:17 - mmengine - INFO - Epoch(val) [6][160/6282] eta: 0:07:10 time: 0.0703 data_time: 0.0068 memory: 809 2022/08/10 18:33:18 - mmengine - INFO - Epoch(val) [6][180/6282] eta: 0:07:39 time: 0.0753 data_time: 0.0105 memory: 809 2022/08/10 18:33:20 - mmengine - INFO - Epoch(val) [6][200/6282] eta: 0:08:21 time: 0.0825 data_time: 0.0131 memory: 809 2022/08/10 18:33:21 - mmengine - INFO - Epoch(val) [6][220/6282] eta: 0:06:25 time: 0.0636 data_time: 0.0092 memory: 738 2022/08/10 18:33:22 - mmengine - INFO - Epoch(val) [6][240/6282] eta: 0:06:02 time: 0.0599 data_time: 0.0080 memory: 738 2022/08/10 18:33:24 - mmengine - INFO - Epoch(val) [6][260/6282] eta: 0:05:58 time: 0.0595 data_time: 0.0070 memory: 738 2022/08/10 18:33:25 - mmengine - INFO - Epoch(val) [6][280/6282] eta: 0:05:31 time: 0.0552 data_time: 0.0059 memory: 738 2022/08/10 18:33:26 - mmengine - INFO - Epoch(val) [6][300/6282] eta: 0:06:20 time: 0.0636 data_time: 0.0086 memory: 809 2022/08/10 18:33:28 - mmengine - INFO - Epoch(val) [6][320/6282] eta: 0:08:01 time: 0.0807 data_time: 0.0226 memory: 809 2022/08/10 18:33:29 - mmengine - INFO - Epoch(val) [6][340/6282] eta: 0:08:21 time: 0.0843 data_time: 0.0216 memory: 809 2022/08/10 18:33:36 - mmengine - INFO - Epoch(val) [6][360/6282] eta: 0:32:18 time: 0.3273 data_time: 0.2624 memory: 809 2022/08/10 18:33:38 - mmengine - INFO - Epoch(val) [6][380/6282] eta: 0:11:39 time: 0.1186 data_time: 0.0571 memory: 809 2022/08/10 18:33:40 - mmengine - INFO - Epoch(val) [6][400/6282] eta: 0:07:35 time: 0.0774 data_time: 0.0203 memory: 809 2022/08/10 18:33:41 - mmengine - INFO - Epoch(val) [6][420/6282] eta: 0:05:54 time: 0.0604 data_time: 0.0088 memory: 743 2022/08/10 18:33:42 - mmengine - INFO - Epoch(val) [6][440/6282] eta: 0:05:43 time: 0.0588 data_time: 0.0074 memory: 743 2022/08/10 18:33:43 - mmengine - INFO - Epoch(val) [6][460/6282] eta: 0:06:02 time: 0.0622 data_time: 0.0082 memory: 743 2022/08/10 18:33:45 - mmengine - INFO - Epoch(val) [6][480/6282] eta: 0:06:00 time: 0.0621 data_time: 0.0085 memory: 743 2022/08/10 18:33:46 - mmengine - INFO - Epoch(val) [6][500/6282] eta: 0:05:28 time: 0.0569 data_time: 0.0072 memory: 743 2022/08/10 18:33:47 - mmengine - INFO - Epoch(val) [6][520/6282] eta: 0:05:52 time: 0.0612 data_time: 0.0061 memory: 738 2022/08/10 18:33:48 - mmengine - INFO - Epoch(val) [6][540/6282] eta: 0:05:09 time: 0.0539 data_time: 0.0058 memory: 738 2022/08/10 18:33:49 - mmengine - INFO - Epoch(val) [6][560/6282] eta: 0:05:32 time: 0.0581 data_time: 0.0071 memory: 738 2022/08/10 18:33:50 - mmengine - INFO - Epoch(val) [6][580/6282] eta: 0:04:55 time: 0.0518 data_time: 0.0052 memory: 738 2022/08/10 18:33:51 - mmengine - INFO - Epoch(val) [6][600/6282] eta: 0:04:57 time: 0.0524 data_time: 0.0062 memory: 738 2022/08/10 18:33:52 - mmengine - INFO - Epoch(val) [6][620/6282] eta: 0:04:52 time: 0.0516 data_time: 0.0054 memory: 738 2022/08/10 18:33:53 - mmengine - INFO - Epoch(val) [6][640/6282] eta: 0:04:49 time: 0.0513 data_time: 0.0046 memory: 733 2022/08/10 18:33:55 - mmengine - INFO - Epoch(val) [6][660/6282] eta: 0:04:48 time: 0.0513 data_time: 0.0050 memory: 733 2022/08/10 18:33:56 - mmengine - INFO - Epoch(val) [6][680/6282] eta: 0:04:59 time: 0.0535 data_time: 0.0065 memory: 733 2022/08/10 18:33:57 - mmengine - INFO - Epoch(val) [6][700/6282] eta: 0:04:57 time: 0.0533 data_time: 0.0057 memory: 733 2022/08/10 18:33:59 - mmengine - INFO - Epoch(val) [6][720/6282] eta: 0:09:51 time: 0.1063 data_time: 0.0540 memory: 809 2022/08/10 18:34:02 - mmengine - INFO - Epoch(val) [6][740/6282] eta: 0:15:19 time: 0.1660 data_time: 0.1042 memory: 809 2022/08/10 18:34:05 - mmengine - INFO - Epoch(val) [6][760/6282] eta: 0:14:11 time: 0.1543 data_time: 0.0907 memory: 809 2022/08/10 18:34:09 - mmengine - INFO - Epoch(val) [6][780/6282] eta: 0:17:20 time: 0.1892 data_time: 0.1279 memory: 809 2022/08/10 18:34:12 - mmengine - INFO - Epoch(val) [6][800/6282] eta: 0:15:33 time: 0.1702 data_time: 0.1057 memory: 809 2022/08/10 18:34:14 - mmengine - INFO - Epoch(val) [6][820/6282] eta: 0:08:59 time: 0.0987 data_time: 0.0421 memory: 809 2022/08/10 18:34:16 - mmengine - INFO - Epoch(val) [6][840/6282] eta: 0:05:22 time: 0.0592 data_time: 0.0079 memory: 738 2022/08/10 18:34:17 - mmengine - INFO - Epoch(val) [6][860/6282] eta: 0:05:46 time: 0.0639 data_time: 0.0095 memory: 738 2022/08/10 18:34:18 - mmengine - INFO - Epoch(val) [6][880/6282] eta: 0:05:32 time: 0.0616 data_time: 0.0067 memory: 738 2022/08/10 18:34:19 - mmengine - INFO - Epoch(val) [6][900/6282] eta: 0:05:22 time: 0.0599 data_time: 0.0074 memory: 738 2022/08/10 18:34:20 - mmengine - INFO - Epoch(val) [6][920/6282] eta: 0:05:27 time: 0.0612 data_time: 0.0077 memory: 738 2022/08/10 18:34:22 - mmengine - INFO - Epoch(val) [6][940/6282] eta: 0:05:05 time: 0.0572 data_time: 0.0055 memory: 703 2022/08/10 18:34:23 - mmengine - INFO - Epoch(val) [6][960/6282] eta: 0:05:06 time: 0.0577 data_time: 0.0084 memory: 703 2022/08/10 18:34:24 - mmengine - INFO - Epoch(val) [6][980/6282] eta: 0:05:40 time: 0.0642 data_time: 0.0082 memory: 703 2022/08/10 18:34:25 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:04:50 time: 0.0550 data_time: 0.0070 memory: 703 2022/08/10 18:34:26 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:04:29 time: 0.0512 data_time: 0.0054 memory: 738 2022/08/10 18:34:27 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:04:39 time: 0.0533 data_time: 0.0053 memory: 738 2022/08/10 18:34:28 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:04:38 time: 0.0533 data_time: 0.0046 memory: 738 2022/08/10 18:34:29 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:04:57 time: 0.0572 data_time: 0.0066 memory: 738 2022/08/10 18:34:31 - mmengine - INFO - Epoch(val) [6][1100/6282] eta: 0:04:45 time: 0.0552 data_time: 0.0055 memory: 738 2022/08/10 18:34:32 - mmengine - INFO - Epoch(val) [6][1120/6282] eta: 0:04:28 time: 0.0520 data_time: 0.0058 memory: 738 2022/08/10 18:34:33 - mmengine - INFO - Epoch(val) [6][1140/6282] eta: 0:04:40 time: 0.0545 data_time: 0.0063 memory: 738 2022/08/10 18:34:34 - mmengine - INFO - Epoch(val) [6][1160/6282] eta: 0:04:31 time: 0.0530 data_time: 0.0056 memory: 738 2022/08/10 18:34:35 - mmengine - INFO - Epoch(val) [6][1180/6282] eta: 0:04:36 time: 0.0542 data_time: 0.0064 memory: 738 2022/08/10 18:34:36 - mmengine - INFO - Epoch(val) [6][1200/6282] eta: 0:04:29 time: 0.0531 data_time: 0.0050 memory: 738 2022/08/10 18:34:37 - mmengine - INFO - Epoch(val) [6][1220/6282] eta: 0:04:35 time: 0.0545 data_time: 0.0057 memory: 738 2022/08/10 18:34:40 - mmengine - INFO - Epoch(val) [6][1240/6282] eta: 0:12:52 time: 0.1533 data_time: 0.0952 memory: 809 2022/08/10 18:34:42 - mmengine - INFO - Epoch(val) [6][1260/6282] eta: 0:09:22 time: 0.1120 data_time: 0.0549 memory: 809 2022/08/10 18:34:45 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:12:01 time: 0.1442 data_time: 0.0859 memory: 809 2022/08/10 18:34:48 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:10:14 time: 0.1233 data_time: 0.0512 memory: 809 2022/08/10 18:34:51 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:12:11 time: 0.1473 data_time: 0.0897 memory: 809 2022/08/10 18:34:53 - mmengine - INFO - Epoch(val) [6][1340/6282] eta: 0:10:21 time: 0.1259 data_time: 0.0686 memory: 809 2022/08/10 18:34:57 - mmengine - INFO - Epoch(val) [6][1360/6282] eta: 0:13:39 time: 0.1666 data_time: 0.1067 memory: 809 2022/08/10 18:34:59 - mmengine - INFO - Epoch(val) [6][1380/6282] eta: 0:11:08 time: 0.1363 data_time: 0.0695 memory: 809 2022/08/10 18:35:02 - mmengine - INFO - Epoch(val) [6][1400/6282] eta: 0:12:20 time: 0.1517 data_time: 0.0919 memory: 809 2022/08/10 18:35:05 - mmengine - INFO - Epoch(val) [6][1420/6282] eta: 0:11:09 time: 0.1376 data_time: 0.0776 memory: 809 2022/08/10 18:35:07 - mmengine - INFO - Epoch(val) [6][1440/6282] eta: 0:07:49 time: 0.0969 data_time: 0.0367 memory: 809 2022/08/10 18:35:08 - mmengine - INFO - Epoch(val) [6][1460/6282] eta: 0:05:39 time: 0.0704 data_time: 0.0105 memory: 809 2022/08/10 18:35:10 - mmengine - INFO - Epoch(val) [6][1480/6282] eta: 0:05:50 time: 0.0730 data_time: 0.0080 memory: 809 2022/08/10 18:35:11 - mmengine - INFO - Epoch(val) [6][1500/6282] eta: 0:05:16 time: 0.0662 data_time: 0.0067 memory: 809 2022/08/10 18:35:13 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:05:32 time: 0.0699 data_time: 0.0095 memory: 911 2022/08/10 18:35:14 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:06:33 time: 0.0830 data_time: 0.0070 memory: 911 2022/08/10 18:35:16 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:06:37 time: 0.0842 data_time: 0.0091 memory: 911 2022/08/10 18:35:18 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:06:27 time: 0.0824 data_time: 0.0063 memory: 911 2022/08/10 18:35:19 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:06:31 time: 0.0836 data_time: 0.0069 memory: 911 2022/08/10 18:35:21 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:06:19 time: 0.0814 data_time: 0.0078 memory: 911 2022/08/10 18:35:22 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:05:08 time: 0.0665 data_time: 0.0062 memory: 809 2022/08/10 18:35:24 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:05:01 time: 0.0652 data_time: 0.0069 memory: 809 2022/08/10 18:35:25 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:04:59 time: 0.0651 data_time: 0.0067 memory: 809 2022/08/10 18:35:26 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:04:58 time: 0.0652 data_time: 0.0058 memory: 809 2022/08/10 18:35:27 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:04:47 time: 0.0629 data_time: 0.0048 memory: 809 2022/08/10 18:35:29 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:05:12 time: 0.0688 data_time: 0.0100 memory: 809 2022/08/10 18:35:30 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:04:58 time: 0.0661 data_time: 0.0062 memory: 809 2022/08/10 18:35:31 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:04:42 time: 0.0627 data_time: 0.0058 memory: 809 2022/08/10 18:35:33 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:04:52 time: 0.0652 data_time: 0.0072 memory: 809 2022/08/10 18:35:34 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:04:37 time: 0.0621 data_time: 0.0057 memory: 809 2022/08/10 18:35:35 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:05:25 time: 0.0734 data_time: 0.0155 memory: 809 2022/08/10 18:35:39 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:11:51 time: 0.1610 data_time: 0.0984 memory: 809 2022/08/10 18:35:42 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:10:36 time: 0.1447 data_time: 0.0835 memory: 809 2022/08/10 18:35:44 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:10:49 time: 0.1483 data_time: 0.0839 memory: 809 2022/08/10 18:35:48 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:13:48 time: 0.1900 data_time: 0.1305 memory: 809 2022/08/10 18:35:51 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:09:47 time: 0.1352 data_time: 0.0653 memory: 809 2022/08/10 18:35:52 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:04:16 time: 0.0593 data_time: 0.0077 memory: 743 2022/08/10 18:35:53 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:04:41 time: 0.0654 data_time: 0.0088 memory: 743 2022/08/10 18:35:55 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:04:17 time: 0.0601 data_time: 0.0070 memory: 743 2022/08/10 18:35:56 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:04:22 time: 0.0616 data_time: 0.0080 memory: 743 2022/08/10 18:35:57 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:04:29 time: 0.0634 data_time: 0.0090 memory: 743 2022/08/10 18:35:58 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:04:21 time: 0.0619 data_time: 0.0104 memory: 743 2022/08/10 18:36:00 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:04:26 time: 0.0635 data_time: 0.0106 memory: 743 2022/08/10 18:36:01 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:04:02 time: 0.0579 data_time: 0.0081 memory: 743 2022/08/10 18:36:02 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:04:20 time: 0.0627 data_time: 0.0092 memory: 743 2022/08/10 18:36:03 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:04:20 time: 0.0630 data_time: 0.0085 memory: 743 2022/08/10 18:36:05 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:04:08 time: 0.0603 data_time: 0.0083 memory: 738 2022/08/10 18:36:06 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:03:46 time: 0.0553 data_time: 0.0065 memory: 738 2022/08/10 18:36:07 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:03:42 time: 0.0545 data_time: 0.0070 memory: 738 2022/08/10 18:36:08 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:03:56 time: 0.0582 data_time: 0.0077 memory: 738 2022/08/10 18:36:09 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:03:44 time: 0.0556 data_time: 0.0068 memory: 738 2022/08/10 18:36:10 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:03:55 time: 0.0587 data_time: 0.0071 memory: 743 2022/08/10 18:36:11 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:03:48 time: 0.0570 data_time: 0.0078 memory: 743 2022/08/10 18:36:13 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:03:40 time: 0.0553 data_time: 0.0057 memory: 743 2022/08/10 18:36:14 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:03:38 time: 0.0551 data_time: 0.0052 memory: 743 2022/08/10 18:36:15 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:03:34 time: 0.0544 data_time: 0.0058 memory: 743 2022/08/10 18:36:16 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:03:28 time: 0.0531 data_time: 0.0050 memory: 738 2022/08/10 18:36:17 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:03:29 time: 0.0538 data_time: 0.0047 memory: 738 2022/08/10 18:36:18 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:03:25 time: 0.0530 data_time: 0.0048 memory: 738 2022/08/10 18:36:19 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:03:35 time: 0.0557 data_time: 0.0063 memory: 738 2022/08/10 18:36:20 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:03:38 time: 0.0568 data_time: 0.0058 memory: 738 2022/08/10 18:36:22 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:04:20 time: 0.0683 data_time: 0.0108 memory: 809 2022/08/10 18:36:23 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:04:48 time: 0.0759 data_time: 0.0200 memory: 809 2022/08/10 18:36:25 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:04:49 time: 0.0765 data_time: 0.0159 memory: 809 2022/08/10 18:36:26 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:05:44 time: 0.0917 data_time: 0.0322 memory: 809 2022/08/10 18:36:28 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:05:46 time: 0.0927 data_time: 0.0346 memory: 809 2022/08/10 18:36:32 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:11:17 time: 0.1819 data_time: 0.1186 memory: 809 2022/08/10 18:36:35 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:08:26 time: 0.1368 data_time: 0.0754 memory: 809 2022/08/10 18:36:38 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:10:43 time: 0.1748 data_time: 0.1140 memory: 809 2022/08/10 18:36:41 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:09:10 time: 0.1505 data_time: 0.0865 memory: 809 2022/08/10 18:36:45 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:10:38 time: 0.1754 data_time: 0.1169 memory: 809 2022/08/10 18:36:46 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:04:41 time: 0.0776 data_time: 0.0065 memory: 902 2022/08/10 18:36:48 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:05:45 time: 0.0958 data_time: 0.0122 memory: 902 2022/08/10 18:36:50 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:05:08 time: 0.0861 data_time: 0.0103 memory: 902 2022/08/10 18:36:52 - mmengine - INFO - Epoch(val) [6][2720/6282] eta: 0:05:07 time: 0.0862 data_time: 0.0109 memory: 902 2022/08/10 18:36:53 - mmengine - INFO - Epoch(val) [6][2740/6282] eta: 0:04:35 time: 0.0778 data_time: 0.0084 memory: 902 2022/08/10 18:36:54 - mmengine - INFO - Epoch(val) [6][2760/6282] eta: 0:03:28 time: 0.0593 data_time: 0.0078 memory: 743 2022/08/10 18:36:56 - mmengine - INFO - Epoch(val) [6][2780/6282] eta: 0:03:32 time: 0.0607 data_time: 0.0076 memory: 743 2022/08/10 18:36:57 - mmengine - INFO - Epoch(val) [6][2800/6282] eta: 0:03:36 time: 0.0623 data_time: 0.0102 memory: 743 2022/08/10 18:36:58 - mmengine - INFO - Epoch(val) [6][2820/6282] eta: 0:03:44 time: 0.0648 data_time: 0.0058 memory: 743 2022/08/10 18:36:59 - mmengine - INFO - Epoch(val) [6][2840/6282] eta: 0:03:35 time: 0.0625 data_time: 0.0097 memory: 743 2022/08/10 18:37:01 - mmengine - INFO - Epoch(val) [6][2860/6282] eta: 0:04:15 time: 0.0745 data_time: 0.0149 memory: 809 2022/08/10 18:37:03 - mmengine - INFO - Epoch(val) [6][2880/6282] eta: 0:05:50 time: 0.1030 data_time: 0.0436 memory: 809 2022/08/10 18:37:05 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:05:03 time: 0.0897 data_time: 0.0276 memory: 809 2022/08/10 18:37:06 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:04:04 time: 0.0728 data_time: 0.0164 memory: 809 2022/08/10 18:37:07 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:03:21 time: 0.0603 data_time: 0.0059 memory: 773 2022/08/10 18:37:09 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:03:39 time: 0.0662 data_time: 0.0076 memory: 773 2022/08/10 18:37:10 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:03:26 time: 0.0627 data_time: 0.0091 memory: 773 2022/08/10 18:37:11 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:03:23 time: 0.0621 data_time: 0.0076 memory: 773 2022/08/10 18:37:13 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:03:38 time: 0.0670 data_time: 0.0077 memory: 809 2022/08/10 18:37:14 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:03:41 time: 0.0683 data_time: 0.0074 memory: 809 2022/08/10 18:37:15 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:03:35 time: 0.0669 data_time: 0.0076 memory: 809 2022/08/10 18:37:17 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:03:28 time: 0.0652 data_time: 0.0067 memory: 809 2022/08/10 18:37:18 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:03:09 time: 0.0596 data_time: 0.0053 memory: 809 2022/08/10 18:37:19 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:03:07 time: 0.0592 data_time: 0.0062 memory: 743 2022/08/10 18:37:20 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:03:19 time: 0.0633 data_time: 0.0070 memory: 743 2022/08/10 18:37:22 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:03:14 time: 0.0623 data_time: 0.0093 memory: 743 2022/08/10 18:37:23 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:02:55 time: 0.0565 data_time: 0.0063 memory: 743 2022/08/10 18:37:24 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:03:32 time: 0.0691 data_time: 0.0108 memory: 809 2022/08/10 18:37:26 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:04:34 time: 0.0897 data_time: 0.0292 memory: 809 2022/08/10 18:37:28 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:04:47 time: 0.0947 data_time: 0.0297 memory: 809 2022/08/10 18:37:29 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:04:23 time: 0.0872 data_time: 0.0256 memory: 809 2022/08/10 18:37:31 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:04:03 time: 0.0810 data_time: 0.0195 memory: 809 2022/08/10 18:37:32 - mmengine - INFO - Epoch(val) [6][3300/6282] eta: 0:03:25 time: 0.0689 data_time: 0.0074 memory: 809 2022/08/10 18:37:34 - mmengine - INFO - Epoch(val) [6][3320/6282] eta: 0:03:17 time: 0.0667 data_time: 0.0067 memory: 809 2022/08/10 18:37:35 - mmengine - INFO - Epoch(val) [6][3340/6282] eta: 0:03:18 time: 0.0676 data_time: 0.0070 memory: 809 2022/08/10 18:37:37 - mmengine - INFO - Epoch(val) [6][3360/6282] eta: 0:03:33 time: 0.0731 data_time: 0.0098 memory: 809 2022/08/10 18:37:38 - mmengine - INFO - Epoch(val) [6][3380/6282] eta: 0:03:04 time: 0.0635 data_time: 0.0078 memory: 809 2022/08/10 18:37:39 - mmengine - INFO - Epoch(val) [6][3400/6282] eta: 0:02:45 time: 0.0574 data_time: 0.0072 memory: 738 2022/08/10 18:37:41 - mmengine - INFO - Epoch(val) [6][3420/6282] eta: 0:04:01 time: 0.0843 data_time: 0.0064 memory: 738 2022/08/10 18:37:42 - mmengine - INFO - Epoch(val) [6][3440/6282] eta: 0:02:57 time: 0.0625 data_time: 0.0103 memory: 738 2022/08/10 18:37:43 - mmengine - INFO - Epoch(val) [6][3460/6282] eta: 0:02:48 time: 0.0596 data_time: 0.0076 memory: 738 2022/08/10 18:37:44 - mmengine - INFO - Epoch(val) [6][3480/6282] eta: 0:02:49 time: 0.0605 data_time: 0.0082 memory: 738 2022/08/10 18:37:46 - mmengine - INFO - Epoch(val) [6][3500/6282] eta: 0:02:41 time: 0.0582 data_time: 0.0063 memory: 738 2022/08/10 18:37:47 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:02:31 time: 0.0548 data_time: 0.0065 memory: 738 2022/08/10 18:37:48 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:02:33 time: 0.0562 data_time: 0.0061 memory: 738 2022/08/10 18:37:49 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:02:33 time: 0.0562 data_time: 0.0078 memory: 738 2022/08/10 18:37:50 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:35 time: 0.0574 data_time: 0.0055 memory: 789 2022/08/10 18:37:51 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:02:50 time: 0.0636 data_time: 0.0103 memory: 789 2022/08/10 18:37:53 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:02:46 time: 0.0624 data_time: 0.0087 memory: 789 2022/08/10 18:37:54 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:02:49 time: 0.0641 data_time: 0.0059 memory: 789 2022/08/10 18:37:55 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:02:46 time: 0.0636 data_time: 0.0065 memory: 789 2022/08/10 18:37:56 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:02:40 time: 0.0616 data_time: 0.0063 memory: 809 2022/08/10 18:37:58 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:03:18 time: 0.0768 data_time: 0.0143 memory: 809 2022/08/10 18:38:00 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:04:50 time: 0.1132 data_time: 0.0312 memory: 809 2022/08/10 18:38:02 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:02:56 time: 0.0693 data_time: 0.0092 memory: 809 2022/08/10 18:38:04 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:04:07 time: 0.0980 data_time: 0.0351 memory: 809 2022/08/10 18:38:05 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:03:26 time: 0.0827 data_time: 0.0192 memory: 809 2022/08/10 18:38:07 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:04:00 time: 0.0970 data_time: 0.0374 memory: 809 2022/08/10 18:38:09 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:03:05 time: 0.0754 data_time: 0.0163 memory: 809 2022/08/10 18:38:11 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:04:08 time: 0.1019 data_time: 0.0367 memory: 809 2022/08/10 18:38:12 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:03:19 time: 0.0822 data_time: 0.0241 memory: 809 2022/08/10 18:38:14 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:03:28 time: 0.0869 data_time: 0.0290 memory: 809 2022/08/10 18:38:16 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:03:07 time: 0.0786 data_time: 0.0182 memory: 809 2022/08/10 18:38:18 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:04:09 time: 0.1057 data_time: 0.0438 memory: 809 2022/08/10 18:38:20 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:03:37 time: 0.0930 data_time: 0.0258 memory: 809 2022/08/10 18:38:21 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:03:15 time: 0.0843 data_time: 0.0217 memory: 809 2022/08/10 18:38:23 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:02:34 time: 0.0671 data_time: 0.0060 memory: 809 2022/08/10 18:38:24 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:02:35 time: 0.0679 data_time: 0.0064 memory: 809 2022/08/10 18:38:25 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:02:38 time: 0.0700 data_time: 0.0083 memory: 809 2022/08/10 18:38:27 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:02:37 time: 0.0702 data_time: 0.0068 memory: 902 2022/08/10 18:38:29 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:03:03 time: 0.0826 data_time: 0.0093 memory: 902 2022/08/10 18:38:30 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:02:52 time: 0.0784 data_time: 0.0074 memory: 902 2022/08/10 18:38:32 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:02:50 time: 0.0780 data_time: 0.0058 memory: 902 2022/08/10 18:38:33 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:02:54 time: 0.0805 data_time: 0.0067 memory: 902 2022/08/10 18:38:35 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:02:33 time: 0.0718 data_time: 0.0071 memory: 902 2022/08/10 18:38:36 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:02:01 time: 0.0571 data_time: 0.0077 memory: 738 2022/08/10 18:38:37 - mmengine - INFO - Epoch(val) [6][4180/6282] eta: 0:02:11 time: 0.0624 data_time: 0.0095 memory: 738 2022/08/10 18:38:38 - mmengine - INFO - Epoch(val) [6][4200/6282] eta: 0:02:00 time: 0.0580 data_time: 0.0066 memory: 738 2022/08/10 18:38:39 - mmengine - INFO - Epoch(val) [6][4220/6282] eta: 0:02:04 time: 0.0604 data_time: 0.0076 memory: 738 2022/08/10 18:38:41 - mmengine - INFO - Epoch(val) [6][4240/6282] eta: 0:02:19 time: 0.0683 data_time: 0.0136 memory: 738 2022/08/10 18:38:42 - mmengine - INFO - Epoch(val) [6][4260/6282] eta: 0:02:02 time: 0.0606 data_time: 0.0105 memory: 736 2022/08/10 18:38:43 - mmengine - INFO - Epoch(val) [6][4280/6282] eta: 0:02:04 time: 0.0622 data_time: 0.0071 memory: 736 2022/08/10 18:38:44 - mmengine - INFO - Epoch(val) [6][4300/6282] eta: 0:01:55 time: 0.0581 data_time: 0.0056 memory: 736 2022/08/10 18:38:46 - mmengine - INFO - Epoch(val) [6][4320/6282] eta: 0:01:54 time: 0.0582 data_time: 0.0077 memory: 736 2022/08/10 18:38:47 - mmengine - INFO - Epoch(val) [6][4340/6282] eta: 0:01:45 time: 0.0545 data_time: 0.0046 memory: 736 2022/08/10 18:38:48 - mmengine - INFO - Epoch(val) [6][4360/6282] eta: 0:02:12 time: 0.0691 data_time: 0.0082 memory: 809 2022/08/10 18:38:49 - mmengine - INFO - Epoch(val) [6][4380/6282] eta: 0:02:00 time: 0.0636 data_time: 0.0059 memory: 809 2022/08/10 18:38:51 - mmengine - INFO - Epoch(val) [6][4400/6282] eta: 0:02:15 time: 0.0717 data_time: 0.0108 memory: 809 2022/08/10 18:38:52 - mmengine - INFO - Epoch(val) [6][4420/6282] eta: 0:02:10 time: 0.0700 data_time: 0.0097 memory: 809 2022/08/10 18:38:54 - mmengine - INFO - Epoch(val) [6][4440/6282] eta: 0:02:07 time: 0.0694 data_time: 0.0072 memory: 816 2022/08/10 18:38:55 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:02:05 time: 0.0688 data_time: 0.0079 memory: 816 2022/08/10 18:38:56 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:02:05 time: 0.0697 data_time: 0.0068 memory: 816 2022/08/10 18:38:58 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:02:04 time: 0.0696 data_time: 0.0080 memory: 816 2022/08/10 18:38:59 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:01:49 time: 0.0622 data_time: 0.0071 memory: 816 2022/08/10 18:39:00 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:36 time: 0.0555 data_time: 0.0066 memory: 743 2022/08/10 18:39:01 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:36 time: 0.0562 data_time: 0.0074 memory: 743 2022/08/10 18:39:02 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:37 time: 0.0571 data_time: 0.0089 memory: 743 2022/08/10 18:39:04 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:01:44 time: 0.0620 data_time: 0.0102 memory: 743 2022/08/10 18:39:05 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:41 time: 0.0612 data_time: 0.0091 memory: 743 2022/08/10 18:39:06 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:02:03 time: 0.0755 data_time: 0.0080 memory: 816 2022/08/10 18:39:08 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:01:41 time: 0.0628 data_time: 0.0063 memory: 816 2022/08/10 18:39:09 - mmengine - INFO - Epoch(val) [6][4680/6282] eta: 0:01:43 time: 0.0649 data_time: 0.0056 memory: 816 2022/08/10 18:39:10 - mmengine - INFO - Epoch(val) [6][4700/6282] eta: 0:01:45 time: 0.0666 data_time: 0.0081 memory: 816 2022/08/10 18:39:12 - mmengine - INFO - Epoch(val) [6][4720/6282] eta: 0:01:38 time: 0.0631 data_time: 0.0066 memory: 816 2022/08/10 18:39:13 - mmengine - INFO - Epoch(val) [6][4740/6282] eta: 0:01:36 time: 0.0629 data_time: 0.0092 memory: 768 2022/08/10 18:39:14 - mmengine - INFO - Epoch(val) [6][4760/6282] eta: 0:01:42 time: 0.0672 data_time: 0.0107 memory: 768 2022/08/10 18:39:15 - mmengine - INFO - Epoch(val) [6][4780/6282] eta: 0:01:31 time: 0.0609 data_time: 0.0071 memory: 768 2022/08/10 18:39:17 - mmengine - INFO - Epoch(val) [6][4800/6282] eta: 0:01:28 time: 0.0597 data_time: 0.0080 memory: 768 2022/08/10 18:39:18 - mmengine - INFO - Epoch(val) [6][4820/6282] eta: 0:01:29 time: 0.0615 data_time: 0.0059 memory: 809 2022/08/10 18:39:19 - mmengine - INFO - Epoch(val) [6][4840/6282] eta: 0:01:45 time: 0.0733 data_time: 0.0075 memory: 809 2022/08/10 18:39:21 - mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:42 time: 0.0723 data_time: 0.0075 memory: 809 2022/08/10 18:39:22 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:38 time: 0.0703 data_time: 0.0076 memory: 809 2022/08/10 18:39:24 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:37 time: 0.0704 data_time: 0.0083 memory: 809 2022/08/10 18:39:25 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:32 time: 0.0681 data_time: 0.0067 memory: 811 2022/08/10 18:39:26 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:34 time: 0.0705 data_time: 0.0084 memory: 811 2022/08/10 18:39:28 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:01:35 time: 0.0720 data_time: 0.0099 memory: 811 2022/08/10 18:39:29 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:33 time: 0.0716 data_time: 0.0071 memory: 811 2022/08/10 18:39:31 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:01:41 time: 0.0790 data_time: 0.0092 memory: 811 2022/08/10 18:39:32 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:01:22 time: 0.0650 data_time: 0.0072 memory: 811 2022/08/10 18:39:33 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:01:20 time: 0.0650 data_time: 0.0107 memory: 743 2022/08/10 18:39:35 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:01:17 time: 0.0632 data_time: 0.0095 memory: 743 2022/08/10 18:39:36 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:01:14 time: 0.0622 data_time: 0.0089 memory: 743 2022/08/10 18:39:42 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:05:38 time: 0.2868 data_time: 0.2337 memory: 743 2022/08/10 18:39:43 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:01:15 time: 0.0647 data_time: 0.0135 memory: 743 2022/08/10 18:39:44 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:01:07 time: 0.0591 data_time: 0.0056 memory: 738 2022/08/10 18:39:45 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:01:07 time: 0.0600 data_time: 0.0064 memory: 738 2022/08/10 18:39:47 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:01:07 time: 0.0613 data_time: 0.0080 memory: 738 2022/08/10 18:39:48 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:01:07 time: 0.0626 data_time: 0.0086 memory: 738 2022/08/10 18:39:49 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:01:06 time: 0.0630 data_time: 0.0096 memory: 738 2022/08/10 18:39:50 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:01:07 time: 0.0648 data_time: 0.0107 memory: 736 2022/08/10 18:39:52 - mmengine - INFO - Epoch(val) [6][5260/6282] eta: 0:01:01 time: 0.0604 data_time: 0.0078 memory: 736 2022/08/10 18:39:53 - mmengine - INFO - Epoch(val) [6][5280/6282] eta: 0:00:59 time: 0.0595 data_time: 0.0089 memory: 736 2022/08/10 18:39:54 - mmengine - INFO - Epoch(val) [6][5300/6282] eta: 0:01:00 time: 0.0613 data_time: 0.0052 memory: 736 2022/08/10 18:39:55 - mmengine - INFO - Epoch(val) [6][5320/6282] eta: 0:00:53 time: 0.0551 data_time: 0.0057 memory: 738 2022/08/10 18:39:56 - mmengine - INFO - Epoch(val) [6][5340/6282] eta: 0:00:50 time: 0.0539 data_time: 0.0058 memory: 738 2022/08/10 18:39:57 - mmengine - INFO - Epoch(val) [6][5360/6282] eta: 0:00:53 time: 0.0582 data_time: 0.0066 memory: 738 2022/08/10 18:39:59 - mmengine - INFO - Epoch(val) [6][5380/6282] eta: 0:00:53 time: 0.0597 data_time: 0.0077 memory: 738 2022/08/10 18:40:00 - mmengine - INFO - Epoch(val) [6][5400/6282] eta: 0:00:53 time: 0.0609 data_time: 0.0098 memory: 738 2022/08/10 18:40:01 - mmengine - INFO - Epoch(val) [6][5420/6282] eta: 0:00:53 time: 0.0619 data_time: 0.0084 memory: 738 2022/08/10 18:40:02 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:51 time: 0.0616 data_time: 0.0096 memory: 738 2022/08/10 18:40:04 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:51 time: 0.0623 data_time: 0.0105 memory: 738 2022/08/10 18:40:06 - mmengine - INFO - Epoch(val) [6][5480/6282] eta: 0:01:40 time: 0.1258 data_time: 0.0728 memory: 738 2022/08/10 18:40:07 - mmengine - INFO - Epoch(val) [6][5500/6282] eta: 0:00:49 time: 0.0634 data_time: 0.0085 memory: 738 2022/08/10 18:40:09 - mmengine - INFO - Epoch(val) [6][5520/6282] eta: 0:00:50 time: 0.0657 data_time: 0.0099 memory: 763 2022/08/10 18:40:10 - mmengine - INFO - Epoch(val) [6][5540/6282] eta: 0:00:46 time: 0.0633 data_time: 0.0072 memory: 763 2022/08/10 18:40:11 - mmengine - INFO - Epoch(val) [6][5560/6282] eta: 0:00:45 time: 0.0637 data_time: 0.0076 memory: 763 2022/08/10 18:40:12 - mmengine - INFO - Epoch(val) [6][5580/6282] eta: 0:00:45 time: 0.0643 data_time: 0.0076 memory: 763 2022/08/10 18:40:14 - mmengine - INFO - Epoch(val) [6][5600/6282] eta: 0:00:41 time: 0.0607 data_time: 0.0071 memory: 763 2022/08/10 18:40:15 - mmengine - INFO - Epoch(val) [6][5620/6282] eta: 0:00:41 time: 0.0622 data_time: 0.0093 memory: 763 2022/08/10 18:40:16 - mmengine - INFO - Epoch(val) [6][5640/6282] eta: 0:00:34 time: 0.0545 data_time: 0.0063 memory: 738 2022/08/10 18:40:18 - mmengine - INFO - Epoch(val) [6][5660/6282] eta: 0:00:48 time: 0.0775 data_time: 0.0039 memory: 738 2022/08/10 18:40:19 - mmengine - INFO - Epoch(val) [6][5680/6282] eta: 0:00:32 time: 0.0534 data_time: 0.0064 memory: 738 2022/08/10 18:40:20 - mmengine - INFO - Epoch(val) [6][5700/6282] eta: 0:00:30 time: 0.0519 data_time: 0.0040 memory: 738 2022/08/10 18:40:21 - mmengine - INFO - Epoch(val) [6][5720/6282] eta: 0:00:30 time: 0.0551 data_time: 0.0055 memory: 780 2022/08/10 18:40:22 - mmengine - INFO - Epoch(val) [6][5740/6282] eta: 0:00:31 time: 0.0580 data_time: 0.0052 memory: 780 2022/08/10 18:40:23 - mmengine - INFO - Epoch(val) [6][5760/6282] eta: 0:00:29 time: 0.0570 data_time: 0.0065 memory: 780 2022/08/10 18:40:24 - mmengine - INFO - Epoch(val) [6][5780/6282] eta: 0:00:27 time: 0.0543 data_time: 0.0047 memory: 780 2022/08/10 18:40:25 - mmengine - INFO - Epoch(val) [6][5800/6282] eta: 0:00:27 time: 0.0563 data_time: 0.0053 memory: 780 2022/08/10 18:40:26 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:25 time: 0.0545 data_time: 0.0048 memory: 780 2022/08/10 18:40:27 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:24 time: 0.0548 data_time: 0.0059 memory: 763 2022/08/10 18:40:29 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:25 time: 0.0602 data_time: 0.0050 memory: 763 2022/08/10 18:40:30 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:21 time: 0.0525 data_time: 0.0046 memory: 763 2022/08/10 18:40:31 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:24 time: 0.0647 data_time: 0.0054 memory: 763 2022/08/10 18:40:32 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:17 time: 0.0478 data_time: 0.0038 memory: 763 2022/08/10 18:40:33 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:16 time: 0.0475 data_time: 0.0033 memory: 738 2022/08/10 18:40:34 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:14 time: 0.0457 data_time: 0.0033 memory: 738 2022/08/10 18:40:35 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:14 time: 0.0464 data_time: 0.0032 memory: 738 2022/08/10 18:40:36 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:14 time: 0.0530 data_time: 0.0036 memory: 809 2022/08/10 18:40:37 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:14 time: 0.0543 data_time: 0.0034 memory: 809 2022/08/10 18:40:38 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:13 time: 0.0548 data_time: 0.0037 memory: 809 2022/08/10 18:40:39 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:12 time: 0.0563 data_time: 0.0036 memory: 809 2022/08/10 18:40:41 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:13 time: 0.0676 data_time: 0.0089 memory: 809 2022/08/10 18:40:42 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:10 time: 0.0551 data_time: 0.0036 memory: 809 2022/08/10 18:40:43 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:08 time: 0.0554 data_time: 0.0037 memory: 809 2022/08/10 18:40:44 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:07 time: 0.0550 data_time: 0.0036 memory: 809 2022/08/10 18:40:45 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:07 time: 0.0641 data_time: 0.0121 memory: 809 2022/08/10 18:40:46 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:05 time: 0.0585 data_time: 0.0063 memory: 809 2022/08/10 18:40:47 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:04 time: 0.0551 data_time: 0.0032 memory: 809 2022/08/10 18:40:49 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:03 time: 0.0548 data_time: 0.0037 memory: 809 2022/08/10 18:40:50 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:02 time: 0.0544 data_time: 0.0035 memory: 809 2022/08/10 18:40:51 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:01 time: 0.0667 data_time: 0.0044 memory: 809 2022/08/10 18:40:52 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0548 data_time: 0.0038 memory: 809 2022/08/10 18:45:46 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.2561 2022/08/10 18:45:59 - mmengine - INFO - Epoch(train) [7][20/3842] lr: 3.7427e-02 eta: 2:18:29 time: 0.6396 data_time: 0.0805 memory: 10484 grad_norm: 0.1801 recall@thr=0.5: 0.6854 prec@thr=0.5: 0.7500 recall@top3: 0.7979 prec@top3: 0.8125 recall@top5: 0.9688 prec@top5: 0.6125 loss_action_cls: 0.0449 loss: 0.0449 2022/08/10 18:46:10 - mmengine - INFO - Epoch(train) [7][40/3842] lr: 3.7351e-02 eta: 2:18:18 time: 0.5443 data_time: 0.0239 memory: 10484 grad_norm: 0.1769 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8606 recall@top3: 0.7220 prec@top3: 0.7424 recall@top5: 0.8606 prec@top5: 0.5455 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:46:20 - mmengine - INFO - Epoch(train) [7][60/3842] lr: 3.7274e-02 eta: 2:18:07 time: 0.4990 data_time: 0.0174 memory: 10484 grad_norm: 0.1756 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7396 recall@top3: 0.7448 prec@top3: 0.6667 recall@top5: 0.9219 prec@top5: 0.5000 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 18:46:30 - mmengine - INFO - Epoch(train) [7][80/3842] lr: 3.7197e-02 eta: 2:17:56 time: 0.5280 data_time: 0.0161 memory: 10484 grad_norm: 0.1811 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.9118 recall@top3: 0.8549 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5765 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 18:46:40 - mmengine - INFO - Epoch(train) [7][100/3842] lr: 3.7121e-02 eta: 2:17:44 time: 0.5000 data_time: 0.0173 memory: 10484 grad_norm: 0.1789 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.8333 recall@top3: 0.7727 prec@top3: 0.7273 recall@top5: 0.8788 prec@top5: 0.5182 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 18:46:51 - mmengine - INFO - Epoch(train) [7][120/3842] lr: 3.7044e-02 eta: 2:17:33 time: 0.5246 data_time: 0.0167 memory: 10484 grad_norm: 0.1842 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.9062 recall@top3: 0.7500 prec@top3: 0.6458 recall@top5: 0.9062 prec@top5: 0.4875 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 18:47:01 - mmengine - INFO - Epoch(train) [7][140/3842] lr: 3.6967e-02 eta: 2:17:22 time: 0.5009 data_time: 0.0173 memory: 10484 grad_norm: 0.1881 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8182 recall@top3: 0.8333 prec@top3: 0.5758 recall@top5: 0.9545 prec@top5: 0.4000 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 18:47:12 - mmengine - INFO - Epoch(train) [7][160/3842] lr: 3.6891e-02 eta: 2:17:11 time: 0.5441 data_time: 0.0168 memory: 10484 grad_norm: 0.1867 recall@thr=0.5: 0.8778 prec@thr=0.5: 0.9000 recall@top3: 0.8278 prec@top3: 0.8222 recall@top5: 0.9333 prec@top5: 0.5733 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 18:47:22 - mmengine - INFO - Epoch(train) [7][180/3842] lr: 3.6814e-02 eta: 2:17:00 time: 0.5200 data_time: 0.0176 memory: 10484 grad_norm: 0.1820 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7875 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.9479 prec@top5: 0.4750 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 18:47:32 - mmengine - INFO - Epoch(train) [7][200/3842] lr: 3.6737e-02 eta: 2:16:49 time: 0.5237 data_time: 0.0168 memory: 10484 grad_norm: 0.1815 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6000 recall@top3: 0.6889 prec@top3: 0.4000 recall@top5: 0.8167 prec@top5: 0.3200 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 18:47:43 - mmengine - INFO - Epoch(train) [7][220/3842] lr: 3.6661e-02 eta: 2:16:38 time: 0.5313 data_time: 0.0178 memory: 10484 grad_norm: 0.1803 recall@thr=0.5: 0.6506 prec@thr=0.5: 0.8013 recall@top3: 0.7596 prec@top3: 0.7308 recall@top5: 0.8718 prec@top5: 0.5154 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 18:47:54 - mmengine - INFO - Epoch(train) [7][240/3842] lr: 3.6584e-02 eta: 2:16:27 time: 0.5267 data_time: 0.0161 memory: 10484 grad_norm: 0.1779 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8596 recall@top3: 0.8684 prec@top3: 0.7018 recall@top5: 0.9605 prec@top5: 0.4737 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 18:48:05 - mmengine - INFO - Epoch(train) [7][260/3842] lr: 3.6507e-02 eta: 2:16:16 time: 0.5562 data_time: 0.0200 memory: 10484 grad_norm: 0.1775 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.9605 recall@top3: 0.9386 prec@top3: 0.8947 recall@top5: 1.0000 prec@top5: 0.5789 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 18:48:15 - mmengine - INFO - Epoch(train) [7][280/3842] lr: 3.6431e-02 eta: 2:16:06 time: 0.5324 data_time: 0.0221 memory: 10484 grad_norm: 0.1856 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7870 recall@top3: 0.8565 prec@top3: 0.7037 recall@top5: 0.9306 prec@top5: 0.4556 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 18:48:26 - mmengine - INFO - Epoch(train) [7][300/3842] lr: 3.6354e-02 eta: 2:15:54 time: 0.5262 data_time: 0.0188 memory: 10484 grad_norm: 0.1831 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.7917 recall@top3: 0.7552 prec@top3: 0.6875 recall@top5: 0.8958 prec@top5: 0.4875 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 18:48:36 - mmengine - INFO - Epoch(train) [7][320/3842] lr: 3.6278e-02 eta: 2:15:43 time: 0.5247 data_time: 0.0171 memory: 10484 grad_norm: 0.1883 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.6898 recall@top3: 0.8056 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 18:48:47 - mmengine - INFO - Epoch(train) [7][340/3842] lr: 3.6201e-02 eta: 2:15:32 time: 0.5268 data_time: 0.0175 memory: 10484 grad_norm: 0.1840 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8431 recall@top3: 0.9020 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 18:48:57 - mmengine - INFO - Epoch(train) [7][360/3842] lr: 3.6124e-02 eta: 2:15:21 time: 0.5242 data_time: 0.0184 memory: 10484 grad_norm: 0.1831 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.8400 recall@top3: 0.8447 prec@top3: 0.7333 recall@top5: 0.9900 prec@top5: 0.5440 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 18:49:09 - mmengine - INFO - Epoch(train) [7][380/3842] lr: 3.6048e-02 eta: 2:15:11 time: 0.5545 data_time: 0.0176 memory: 10484 grad_norm: 0.1853 recall@thr=0.5: 0.7138 prec@thr=0.5: 0.7754 recall@top3: 0.8007 prec@top3: 0.6667 recall@top5: 0.8623 prec@top5: 0.4435 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 18:49:19 - mmengine - INFO - Epoch(train) [7][400/3842] lr: 3.5971e-02 eta: 2:15:00 time: 0.5308 data_time: 0.0177 memory: 10484 grad_norm: 0.1797 recall@thr=0.5: 0.9074 prec@thr=0.5: 0.8889 recall@top3: 0.9444 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 18:49:30 - mmengine - INFO - Epoch(train) [7][420/3842] lr: 3.5894e-02 eta: 2:14:49 time: 0.5264 data_time: 0.0212 memory: 10484 grad_norm: 0.1928 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7667 recall@top3: 0.6500 prec@top3: 0.4889 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 18:49:40 - mmengine - INFO - Epoch(train) [7][440/3842] lr: 3.5818e-02 eta: 2:14:37 time: 0.5009 data_time: 0.0165 memory: 10484 grad_norm: 0.1849 recall@thr=0.5: 0.9722 prec@thr=0.5: 0.9444 recall@top3: 0.9722 prec@top3: 0.6389 recall@top5: 0.9722 prec@top5: 0.3833 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 18:49:50 - mmengine - INFO - Epoch(train) [7][460/3842] lr: 3.5741e-02 eta: 2:14:26 time: 0.5267 data_time: 0.0174 memory: 10484 grad_norm: 0.1889 recall@thr=0.5: 0.7851 prec@thr=0.5: 0.7719 recall@top3: 0.8904 prec@top3: 0.6491 recall@top5: 0.9737 prec@top5: 0.4316 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 18:50:01 - mmengine - INFO - Epoch(train) [7][480/3842] lr: 3.5665e-02 eta: 2:14:15 time: 0.5235 data_time: 0.0174 memory: 10484 grad_norm: 0.1904 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.7362 recall@top3: 0.9058 prec@top3: 0.7101 recall@top5: 0.9710 prec@top5: 0.4696 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 18:50:11 - mmengine - INFO - Epoch(train) [7][500/3842] lr: 3.5588e-02 eta: 2:14:04 time: 0.5312 data_time: 0.0174 memory: 10484 grad_norm: 0.1936 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8684 recall@top3: 0.8289 prec@top3: 0.5439 recall@top5: 0.8904 prec@top5: 0.3684 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 18:50:22 - mmengine - INFO - Epoch(train) [7][520/3842] lr: 3.5512e-02 eta: 2:13:54 time: 0.5315 data_time: 0.0172 memory: 10484 grad_norm: 0.1826 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8704 recall@top3: 0.8704 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 18:50:33 - mmengine - INFO - Epoch(train) [7][540/3842] lr: 3.5435e-02 eta: 2:13:43 time: 0.5509 data_time: 0.0163 memory: 10484 grad_norm: 0.1903 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7692 recall@top3: 0.8205 prec@top3: 0.5641 recall@top5: 0.8462 prec@top5: 0.3538 loss_action_cls: 0.0514 loss: 0.0514 2022/08/10 18:50:44 - mmengine - INFO - Epoch(train) [7][560/3842] lr: 3.5359e-02 eta: 2:13:32 time: 0.5313 data_time: 0.0175 memory: 10484 grad_norm: 0.1856 recall@thr=0.5: 0.8010 prec@thr=0.5: 0.9216 recall@top3: 0.7716 prec@top3: 0.7843 recall@top5: 0.9471 prec@top5: 0.5765 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 18:50:54 - mmengine - INFO - Epoch(train) [7][580/3842] lr: 3.5282e-02 eta: 2:13:21 time: 0.5252 data_time: 0.0185 memory: 10484 grad_norm: 0.1843 recall@thr=0.5: 0.9643 prec@thr=0.5: 0.9524 recall@top3: 1.0000 prec@top3: 0.4762 recall@top5: 1.0000 prec@top5: 0.2857 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 18:51:04 - mmengine - INFO - Epoch(train) [7][600/3842] lr: 3.5205e-02 eta: 2:13:09 time: 0.4983 data_time: 0.0166 memory: 10484 grad_norm: 0.1885 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7105 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.9825 prec@top5: 0.5368 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 18:51:15 - mmengine - INFO - Epoch(train) [7][620/3842] lr: 3.5129e-02 eta: 2:12:59 time: 0.5319 data_time: 0.0164 memory: 10484 grad_norm: 0.1807 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.8073 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 0.9688 prec@top5: 0.5500 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 18:51:25 - mmengine - INFO - Epoch(train) [7][640/3842] lr: 3.5052e-02 eta: 2:12:47 time: 0.5028 data_time: 0.0170 memory: 10484 grad_norm: 0.1864 recall@thr=0.5: 0.3939 prec@thr=0.5: 0.6364 recall@top3: 0.7424 prec@top3: 0.6667 recall@top5: 0.8864 prec@top5: 0.5091 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 18:51:36 - mmengine - INFO - Epoch(train) [7][660/3842] lr: 3.4976e-02 eta: 2:12:37 time: 0.5531 data_time: 0.0191 memory: 10484 grad_norm: 0.1805 recall@thr=0.5: 0.6898 prec@thr=0.5: 0.8333 recall@top3: 0.8657 prec@top3: 0.7222 recall@top5: 0.9676 prec@top5: 0.5000 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 18:51:46 - mmengine - INFO - Epoch(train) [7][680/3842] lr: 3.4900e-02 eta: 2:12:25 time: 0.5063 data_time: 0.0224 memory: 10484 grad_norm: 0.1857 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7564 recall@top3: 0.7821 prec@top3: 0.6667 recall@top5: 0.9038 prec@top5: 0.4923 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 18:51:57 - mmengine - INFO - Epoch(train) [7][700/3842] lr: 3.4823e-02 eta: 2:12:14 time: 0.5262 data_time: 0.0174 memory: 10484 grad_norm: 0.1772 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6746 recall@top3: 0.7222 prec@top3: 0.4762 recall@top5: 0.8095 prec@top5: 0.3333 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 18:52:07 - mmengine - INFO - Epoch(train) [7][720/3842] lr: 3.4747e-02 eta: 2:12:03 time: 0.5135 data_time: 0.0187 memory: 10484 grad_norm: 0.1909 recall@thr=0.5: 0.8689 prec@thr=0.5: 0.9500 recall@top3: 0.9300 prec@top3: 0.8444 recall@top5: 0.9733 prec@top5: 0.5467 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 18:52:23 - mmengine - INFO - Epoch(train) [7][740/3842] lr: 3.4670e-02 eta: 2:11:56 time: 0.8084 data_time: 0.0216 memory: 10484 grad_norm: 0.1844 recall@thr=0.5: 0.8621 prec@thr=0.5: 0.8966 recall@top3: 0.9253 prec@top3: 0.7816 recall@top5: 1.0000 prec@top5: 0.5172 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 18:52:34 - mmengine - INFO - Epoch(train) [7][760/3842] lr: 3.4594e-02 eta: 2:11:45 time: 0.5388 data_time: 0.0230 memory: 10484 grad_norm: 0.1851 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.9038 recall@top3: 0.8782 prec@top3: 0.8462 recall@top5: 0.9551 prec@top5: 0.5538 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 18:52:44 - mmengine - INFO - Epoch(train) [7][780/3842] lr: 3.4517e-02 eta: 2:11:33 time: 0.5006 data_time: 0.0171 memory: 10484 grad_norm: 0.1921 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.9375 recall@top3: 0.8750 prec@top3: 0.8125 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 18:52:55 - mmengine - INFO - Epoch(train) [7][800/3842] lr: 3.4441e-02 eta: 2:11:23 time: 0.5481 data_time: 0.0181 memory: 10484 grad_norm: 0.1901 recall@thr=0.5: 0.6968 prec@thr=0.5: 0.8333 recall@top3: 0.7722 prec@top3: 0.6825 recall@top5: 0.8429 prec@top5: 0.4667 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 18:53:05 - mmengine - INFO - Epoch(train) [7][820/3842] lr: 3.4364e-02 eta: 2:11:11 time: 0.4991 data_time: 0.0165 memory: 10484 grad_norm: 0.1885 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.6339 recall@top3: 0.7143 prec@top3: 0.6310 recall@top5: 0.8958 prec@top5: 0.4571 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 18:53:16 - mmengine - INFO - Epoch(train) [7][840/3842] lr: 3.4288e-02 eta: 2:11:01 time: 0.5420 data_time: 0.0175 memory: 10484 grad_norm: 0.1840 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9167 recall@top3: 1.0000 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 18:53:26 - mmengine - INFO - Epoch(train) [7][860/3842] lr: 3.4212e-02 eta: 2:10:49 time: 0.5029 data_time: 0.0174 memory: 10484 grad_norm: 0.1842 recall@thr=0.5: 0.7872 prec@thr=0.5: 0.8333 recall@top3: 0.8064 prec@top3: 0.7436 recall@top5: 0.9397 prec@top5: 0.5077 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 18:53:36 - mmengine - INFO - Epoch(train) [7][880/3842] lr: 3.4135e-02 eta: 2:10:38 time: 0.5268 data_time: 0.0181 memory: 10484 grad_norm: 0.1803 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6905 recall@top3: 0.6607 prec@top3: 0.5476 recall@top5: 0.9405 prec@top5: 0.4857 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:53:46 - mmengine - INFO - Epoch(train) [7][900/3842] lr: 3.4059e-02 eta: 2:10:27 time: 0.4998 data_time: 0.0169 memory: 10484 grad_norm: 0.1931 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.6875 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 18:53:57 - mmengine - INFO - Epoch(train) [7][920/3842] lr: 3.3983e-02 eta: 2:10:16 time: 0.5321 data_time: 0.0166 memory: 10484 grad_norm: 0.1804 recall@thr=0.5: 0.4976 prec@thr=0.5: 0.6607 recall@top3: 0.6042 prec@top3: 0.5952 recall@top5: 0.8292 prec@top5: 0.4714 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 18:54:07 - mmengine - INFO - Epoch(train) [7][940/3842] lr: 3.3906e-02 eta: 2:10:05 time: 0.5258 data_time: 0.0215 memory: 10484 grad_norm: 0.1767 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8214 recall@top3: 0.9524 prec@top3: 0.5952 recall@top5: 0.9524 prec@top5: 0.3571 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 18:54:11 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 18:54:18 - mmengine - INFO - Epoch(train) [7][960/3842] lr: 3.3830e-02 eta: 2:09:54 time: 0.5613 data_time: 0.0183 memory: 10484 grad_norm: 0.1829 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8590 recall@top3: 0.8333 prec@top3: 0.7692 recall@top5: 0.9295 prec@top5: 0.5231 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 18:54:29 - mmengine - INFO - Epoch(train) [7][980/3842] lr: 3.3754e-02 eta: 2:09:43 time: 0.5014 data_time: 0.0173 memory: 10484 grad_norm: 0.1834 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7059 recall@top3: 0.8725 prec@top3: 0.7647 recall@top5: 0.9706 prec@top5: 0.5176 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 18:54:40 - mmengine - INFO - Epoch(train) [7][1000/3842] lr: 3.3678e-02 eta: 2:09:33 time: 0.5619 data_time: 0.0211 memory: 10484 grad_norm: 0.1785 recall@thr=0.5: 0.8956 prec@thr=0.5: 1.0000 recall@top3: 0.8800 prec@top3: 0.8889 recall@top5: 0.9567 prec@top5: 0.6000 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 18:54:52 - mmengine - INFO - Epoch(train) [7][1020/3842] lr: 3.3601e-02 eta: 2:09:23 time: 0.6322 data_time: 0.0190 memory: 10484 grad_norm: 0.1929 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7235 recall@top3: 0.5490 prec@top3: 0.5490 recall@top5: 0.7647 prec@top5: 0.4353 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 18:55:03 - mmengine - INFO - Epoch(train) [7][1040/3842] lr: 3.3525e-02 eta: 2:09:12 time: 0.5305 data_time: 0.0179 memory: 10484 grad_norm: 0.1879 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7556 recall@top3: 0.8778 prec@top3: 0.7111 recall@top5: 0.9444 prec@top5: 0.4533 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 18:55:14 - mmengine - INFO - Epoch(train) [7][1060/3842] lr: 3.3449e-02 eta: 2:09:01 time: 0.5279 data_time: 0.0176 memory: 10484 grad_norm: 0.1922 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8077 recall@top3: 0.9103 prec@top3: 0.5897 recall@top5: 0.9487 prec@top5: 0.3692 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 18:55:24 - mmengine - INFO - Epoch(train) [7][1080/3842] lr: 3.3373e-02 eta: 2:08:50 time: 0.5008 data_time: 0.0174 memory: 10484 grad_norm: 0.1980 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7727 recall@top3: 0.8333 prec@top3: 0.5758 recall@top5: 0.9091 prec@top5: 0.4000 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 18:55:34 - mmengine - INFO - Epoch(train) [7][1100/3842] lr: 3.3296e-02 eta: 2:08:39 time: 0.5238 data_time: 0.0156 memory: 10484 grad_norm: 0.1846 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.9167 recall@top3: 0.8197 prec@top3: 0.6515 recall@top5: 0.9576 prec@top5: 0.4818 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 18:55:45 - mmengine - INFO - Epoch(train) [7][1120/3842] lr: 3.3220e-02 eta: 2:08:28 time: 0.5354 data_time: 0.0165 memory: 10484 grad_norm: 0.1878 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9667 recall@top3: 0.8500 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.5467 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:55:56 - mmengine - INFO - Epoch(train) [7][1140/3842] lr: 3.3144e-02 eta: 2:08:17 time: 0.5504 data_time: 0.0206 memory: 10484 grad_norm: 0.1863 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7292 recall@top3: 0.6944 prec@top3: 0.5833 recall@top5: 0.8333 prec@top5: 0.4333 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 18:56:07 - mmengine - INFO - Epoch(train) [7][1160/3842] lr: 3.3068e-02 eta: 2:08:06 time: 0.5381 data_time: 0.0201 memory: 10484 grad_norm: 0.1844 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.7611 recall@top3: 0.8778 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4400 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 18:56:17 - mmengine - INFO - Epoch(train) [7][1180/3842] lr: 3.2992e-02 eta: 2:07:55 time: 0.5293 data_time: 0.0177 memory: 10484 grad_norm: 0.1828 recall@thr=0.5: 0.7851 prec@thr=0.5: 0.8772 recall@top3: 0.8465 prec@top3: 0.8421 recall@top5: 0.9737 prec@top5: 0.6000 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 18:56:28 - mmengine - INFO - Epoch(train) [7][1200/3842] lr: 3.2916e-02 eta: 2:07:44 time: 0.5216 data_time: 0.0191 memory: 10484 grad_norm: 0.1793 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7969 recall@top3: 0.8333 prec@top3: 0.7083 recall@top5: 0.9688 prec@top5: 0.5000 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 18:56:38 - mmengine - INFO - Epoch(train) [7][1220/3842] lr: 3.2840e-02 eta: 2:07:33 time: 0.5111 data_time: 0.0179 memory: 10484 grad_norm: 0.1852 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.7407 recall@top3: 0.6157 prec@top3: 0.6296 recall@top5: 0.8426 prec@top5: 0.5444 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 18:56:49 - mmengine - INFO - Epoch(train) [7][1240/3842] lr: 3.2764e-02 eta: 2:07:22 time: 0.5526 data_time: 0.0174 memory: 10484 grad_norm: 0.1798 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.8462 recall@top3: 0.8205 prec@top3: 0.6410 recall@top5: 0.9615 prec@top5: 0.4462 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 18:57:00 - mmengine - INFO - Epoch(train) [7][1260/3842] lr: 3.2688e-02 eta: 2:07:12 time: 0.5458 data_time: 0.0185 memory: 10484 grad_norm: 0.1766 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8542 recall@top3: 0.7812 prec@top3: 0.7083 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0464 loss: 0.0464 2022/08/10 18:57:10 - mmengine - INFO - Epoch(train) [7][1280/3842] lr: 3.2612e-02 eta: 2:07:01 time: 0.5269 data_time: 0.0184 memory: 10484 grad_norm: 0.1967 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8241 recall@top3: 0.7963 prec@top3: 0.7593 recall@top5: 0.9722 prec@top5: 0.5556 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 18:57:21 - mmengine - INFO - Epoch(train) [7][1300/3842] lr: 3.2536e-02 eta: 2:06:50 time: 0.5243 data_time: 0.0173 memory: 10484 grad_norm: 0.1866 recall@thr=0.5: 0.9314 prec@thr=0.5: 0.9657 recall@top3: 0.9412 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 18:57:31 - mmengine - INFO - Epoch(train) [7][1320/3842] lr: 3.2460e-02 eta: 2:06:38 time: 0.5005 data_time: 0.0178 memory: 10484 grad_norm: 0.1839 recall@thr=0.5: 0.7276 prec@thr=0.5: 0.7212 recall@top3: 0.7917 prec@top3: 0.5513 recall@top5: 0.9199 prec@top5: 0.4154 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 18:57:41 - mmengine - INFO - Epoch(train) [7][1340/3842] lr: 3.2384e-02 eta: 2:06:27 time: 0.5241 data_time: 0.0169 memory: 10484 grad_norm: 0.1809 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7885 recall@top3: 0.8077 prec@top3: 0.7949 recall@top5: 0.9231 prec@top5: 0.5538 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 18:57:52 - mmengine - INFO - Epoch(train) [7][1360/3842] lr: 3.2308e-02 eta: 2:06:16 time: 0.5213 data_time: 0.0183 memory: 10484 grad_norm: 0.1831 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7778 recall@top3: 0.9444 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 18:58:03 - mmengine - INFO - Epoch(train) [7][1380/3842] lr: 3.2232e-02 eta: 2:06:05 time: 0.5476 data_time: 0.0172 memory: 10484 grad_norm: 0.1835 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8889 recall@top3: 0.9444 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 18:58:13 - mmengine - INFO - Epoch(train) [7][1400/3842] lr: 3.2156e-02 eta: 2:05:55 time: 0.5299 data_time: 0.0175 memory: 10484 grad_norm: 0.1831 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.7885 recall@top3: 0.6667 prec@top3: 0.7179 recall@top5: 0.9359 prec@top5: 0.5538 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 18:58:24 - mmengine - INFO - Epoch(train) [7][1420/3842] lr: 3.2080e-02 eta: 2:05:44 time: 0.5493 data_time: 0.0178 memory: 10484 grad_norm: 0.1884 recall@thr=0.5: 0.6972 prec@thr=0.5: 0.6667 recall@top3: 0.7056 prec@top3: 0.5556 recall@top5: 0.9056 prec@top5: 0.4667 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 18:58:35 - mmengine - INFO - Epoch(train) [7][1440/3842] lr: 3.2004e-02 eta: 2:05:33 time: 0.5344 data_time: 0.0169 memory: 10484 grad_norm: 0.1866 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.5909 recall@top3: 0.7273 prec@top3: 0.5455 recall@top5: 0.9545 prec@top5: 0.4545 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 18:58:45 - mmengine - INFO - Epoch(train) [7][1460/3842] lr: 3.1928e-02 eta: 2:05:22 time: 0.5276 data_time: 0.0171 memory: 10484 grad_norm: 0.1962 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.9286 recall@top3: 0.9226 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.5286 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 18:58:56 - mmengine - INFO - Epoch(train) [7][1480/3842] lr: 3.1853e-02 eta: 2:05:11 time: 0.5463 data_time: 0.0189 memory: 10484 grad_norm: 0.1796 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8190 recall@top3: 0.6944 prec@top3: 0.6984 recall@top5: 0.9167 prec@top5: 0.5619 loss_action_cls: 0.0336 loss: 0.0336 2022/08/10 18:59:07 - mmengine - INFO - Epoch(train) [7][1500/3842] lr: 3.1777e-02 eta: 2:05:00 time: 0.5256 data_time: 0.0173 memory: 10484 grad_norm: 0.1821 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.7222 recall@top3: 0.7222 prec@top3: 0.5833 recall@top5: 0.9722 prec@top5: 0.4833 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 18:59:17 - mmengine - INFO - Epoch(train) [7][1520/3842] lr: 3.1701e-02 eta: 2:04:49 time: 0.5207 data_time: 0.0177 memory: 10484 grad_norm: 0.1832 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8718 recall@top3: 0.8974 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.3846 loss_action_cls: 0.0356 loss: 0.0356 2022/08/10 18:59:27 - mmengine - INFO - Epoch(train) [7][1540/3842] lr: 3.1625e-02 eta: 2:04:38 time: 0.5069 data_time: 0.0182 memory: 10484 grad_norm: 0.1809 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.8843 recall@top3: 0.7685 prec@top3: 0.5926 recall@top5: 0.9861 prec@top5: 0.4778 loss_action_cls: 0.0414 loss: 0.0414 2022/08/10 18:59:38 - mmengine - INFO - Epoch(train) [7][1560/3842] lr: 3.1550e-02 eta: 2:04:27 time: 0.5294 data_time: 0.0174 memory: 10484 grad_norm: 0.1853 recall@thr=0.5: 0.7135 prec@thr=0.5: 0.8177 recall@top3: 0.7760 prec@top3: 0.6458 recall@top5: 0.8906 prec@top5: 0.4750 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 18:59:49 - mmengine - INFO - Epoch(train) [7][1580/3842] lr: 3.1474e-02 eta: 2:04:16 time: 0.5268 data_time: 0.0168 memory: 10484 grad_norm: 0.1846 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.8417 recall@top3: 0.8417 prec@top3: 0.7333 recall@top5: 0.9708 prec@top5: 0.5300 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 18:59:59 - mmengine - INFO - Epoch(train) [7][1600/3842] lr: 3.1398e-02 eta: 2:04:05 time: 0.5411 data_time: 0.0177 memory: 10484 grad_norm: 0.1803 recall@thr=0.5: 0.6718 prec@thr=0.5: 0.7500 recall@top3: 0.7718 prec@top3: 0.7179 recall@top5: 0.8769 prec@top5: 0.5077 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 19:00:10 - mmengine - INFO - Epoch(train) [7][1620/3842] lr: 3.1323e-02 eta: 2:03:54 time: 0.5264 data_time: 0.0179 memory: 10484 grad_norm: 0.1802 recall@thr=0.5: 0.6609 prec@thr=0.5: 0.7270 recall@top3: 0.7443 prec@top3: 0.6552 recall@top5: 0.8793 prec@top5: 0.4828 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 19:00:20 - mmengine - INFO - Epoch(train) [7][1640/3842] lr: 3.1247e-02 eta: 2:03:43 time: 0.5264 data_time: 0.0178 memory: 10484 grad_norm: 0.1782 recall@thr=0.5: 0.6441 prec@thr=0.5: 0.7220 recall@top3: 0.7048 prec@top3: 0.6774 recall@top5: 0.8866 prec@top5: 0.5290 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 19:00:31 - mmengine - INFO - Epoch(train) [7][1660/3842] lr: 3.1172e-02 eta: 2:03:32 time: 0.5004 data_time: 0.0194 memory: 10484 grad_norm: 0.1902 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8667 recall@top3: 0.9333 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 19:00:41 - mmengine - INFO - Epoch(train) [7][1680/3842] lr: 3.1096e-02 eta: 2:03:21 time: 0.5256 data_time: 0.0150 memory: 10484 grad_norm: 0.1839 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7917 recall@top3: 0.7847 prec@top3: 0.7222 recall@top5: 0.8056 prec@top5: 0.4500 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 19:00:52 - mmengine - INFO - Epoch(train) [7][1700/3842] lr: 3.1020e-02 eta: 2:03:10 time: 0.5256 data_time: 0.0179 memory: 10484 grad_norm: 0.1864 recall@thr=0.5: 0.6523 prec@thr=0.5: 0.7069 recall@top3: 0.7414 prec@top3: 0.5287 recall@top5: 0.8707 prec@top5: 0.3793 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 19:01:02 - mmengine - INFO - Epoch(train) [7][1720/3842] lr: 3.0945e-02 eta: 2:02:59 time: 0.5018 data_time: 0.0184 memory: 10484 grad_norm: 0.1815 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5333 recall@top3: 0.7111 prec@top3: 0.6000 recall@top5: 0.8667 prec@top5: 0.4400 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 19:01:12 - mmengine - INFO - Epoch(train) [7][1740/3842] lr: 3.0870e-02 eta: 2:02:48 time: 0.5252 data_time: 0.0179 memory: 10484 grad_norm: 0.1847 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.6212 recall@top3: 0.8636 prec@top3: 0.4242 recall@top5: 0.9242 prec@top5: 0.2909 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 19:01:22 - mmengine - INFO - Epoch(train) [7][1760/3842] lr: 3.0794e-02 eta: 2:02:37 time: 0.5007 data_time: 0.0174 memory: 10484 grad_norm: 0.1981 recall@thr=0.5: 0.7458 prec@thr=0.5: 0.8775 recall@top3: 0.7750 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 19:01:33 - mmengine - INFO - Epoch(train) [7][1780/3842] lr: 3.0719e-02 eta: 2:02:26 time: 0.5487 data_time: 0.0170 memory: 10484 grad_norm: 0.1872 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8333 recall@top3: 0.8056 prec@top3: 0.7593 recall@top5: 0.9074 prec@top5: 0.5222 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 19:01:44 - mmengine - INFO - Epoch(train) [7][1800/3842] lr: 3.0643e-02 eta: 2:02:15 time: 0.5311 data_time: 0.0178 memory: 10484 grad_norm: 0.1882 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8611 recall@top3: 0.9861 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 19:01:54 - mmengine - INFO - Epoch(train) [7][1820/3842] lr: 3.0568e-02 eta: 2:02:04 time: 0.5012 data_time: 0.0185 memory: 10484 grad_norm: 0.1820 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.8056 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4333 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 19:02:04 - mmengine - INFO - Epoch(train) [7][1840/3842] lr: 3.0493e-02 eta: 2:01:53 time: 0.5238 data_time: 0.0162 memory: 10484 grad_norm: 0.1854 recall@thr=0.5: 0.6188 prec@thr=0.5: 0.7826 recall@top3: 0.7986 prec@top3: 0.7536 recall@top5: 0.9188 prec@top5: 0.5217 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 19:02:14 - mmengine - INFO - Epoch(train) [7][1860/3842] lr: 3.0417e-02 eta: 2:01:41 time: 0.4992 data_time: 0.0167 memory: 10484 grad_norm: 0.1908 recall@thr=0.5: 0.8297 prec@thr=0.5: 0.8080 recall@top3: 0.8261 prec@top3: 0.7391 recall@top5: 1.0000 prec@top5: 0.5478 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 19:02:25 - mmengine - INFO - Epoch(train) [7][1880/3842] lr: 3.0342e-02 eta: 2:01:30 time: 0.5209 data_time: 0.0157 memory: 10484 grad_norm: 0.1903 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7500 recall@top3: 0.7778 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 19:02:35 - mmengine - INFO - Epoch(train) [7][1900/3842] lr: 3.0267e-02 eta: 2:01:19 time: 0.5249 data_time: 0.0174 memory: 10484 grad_norm: 0.1914 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.8214 recall@top3: 0.7500 prec@top3: 0.4762 recall@top5: 0.8333 prec@top5: 0.3286 loss_action_cls: 0.0462 loss: 0.0462 2022/08/10 19:02:46 - mmengine - INFO - Epoch(train) [7][1920/3842] lr: 3.0192e-02 eta: 2:01:09 time: 0.5304 data_time: 0.0195 memory: 10484 grad_norm: 0.1876 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8542 recall@top3: 0.8646 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 19:02:56 - mmengine - INFO - Epoch(train) [7][1940/3842] lr: 3.0116e-02 eta: 2:00:57 time: 0.5084 data_time: 0.0166 memory: 10484 grad_norm: 0.1805 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.9722 recall@top3: 0.7736 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.6167 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 19:03:00 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 19:03:06 - mmengine - INFO - Epoch(train) [7][1960/3842] lr: 3.0041e-02 eta: 2:00:46 time: 0.5212 data_time: 0.0178 memory: 10484 grad_norm: 0.1913 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8583 recall@top3: 0.8977 prec@top3: 0.8788 recall@top5: 1.0000 prec@top5: 0.5909 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 19:03:16 - mmengine - INFO - Epoch(train) [7][1980/3842] lr: 2.9966e-02 eta: 2:00:35 time: 0.4993 data_time: 0.0193 memory: 10484 grad_norm: 0.1908 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7833 recall@top3: 0.8250 prec@top3: 0.6333 recall@top5: 0.9750 prec@top5: 0.4600 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 19:03:27 - mmengine - INFO - Epoch(train) [7][2000/3842] lr: 2.9891e-02 eta: 2:00:24 time: 0.5228 data_time: 0.0160 memory: 10484 grad_norm: 0.1910 recall@thr=0.5: 0.7351 prec@thr=0.5: 0.8947 recall@top3: 0.8298 prec@top3: 0.7544 recall@top5: 0.9649 prec@top5: 0.5368 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 19:03:37 - mmengine - INFO - Epoch(train) [7][2020/3842] lr: 2.9816e-02 eta: 2:00:13 time: 0.5001 data_time: 0.0177 memory: 10484 grad_norm: 0.1839 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8444 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9556 prec@top5: 0.4400 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 19:03:48 - mmengine - INFO - Epoch(train) [7][2040/3842] lr: 2.9741e-02 eta: 2:00:02 time: 0.5406 data_time: 0.0167 memory: 10484 grad_norm: 0.1912 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7969 recall@top3: 0.8750 prec@top3: 0.5833 recall@top5: 0.9688 prec@top5: 0.3875 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 19:03:58 - mmengine - INFO - Epoch(train) [7][2060/3842] lr: 2.9666e-02 eta: 1:59:51 time: 0.5294 data_time: 0.0164 memory: 10484 grad_norm: 0.1901 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8137 recall@top3: 0.8676 prec@top3: 0.8431 recall@top5: 0.9559 prec@top5: 0.5765 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 19:04:08 - mmengine - INFO - Epoch(train) [7][2080/3842] lr: 2.9591e-02 eta: 1:59:40 time: 0.5052 data_time: 0.0186 memory: 10484 grad_norm: 0.1844 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8148 recall@top3: 0.7602 prec@top3: 0.7222 recall@top5: 0.9519 prec@top5: 0.5778 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 19:04:19 - mmengine - INFO - Epoch(train) [7][2100/3842] lr: 2.9516e-02 eta: 1:59:29 time: 0.5355 data_time: 0.0170 memory: 10484 grad_norm: 0.1764 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.7708 recall@top3: 0.9375 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 19:04:29 - mmengine - INFO - Epoch(train) [7][2120/3842] lr: 2.9441e-02 eta: 1:59:18 time: 0.5260 data_time: 0.0191 memory: 10484 grad_norm: 0.1928 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6111 recall@top3: 0.7083 prec@top3: 0.5000 recall@top5: 0.8750 prec@top5: 0.3833 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 19:04:39 - mmengine - INFO - Epoch(train) [7][2140/3842] lr: 2.9366e-02 eta: 1:59:07 time: 0.4986 data_time: 0.0171 memory: 10484 grad_norm: 0.1878 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8681 recall@top3: 0.7535 prec@top3: 0.7917 recall@top5: 0.9340 prec@top5: 0.6083 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 19:04:50 - mmengine - INFO - Epoch(train) [7][2160/3842] lr: 2.9292e-02 eta: 1:58:56 time: 0.5045 data_time: 0.0151 memory: 10484 grad_norm: 0.1810 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8333 recall@top3: 0.8590 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.5231 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 19:05:00 - mmengine - INFO - Epoch(train) [7][2180/3842] lr: 2.9217e-02 eta: 1:58:45 time: 0.5281 data_time: 0.0167 memory: 10484 grad_norm: 0.1881 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.8194 recall@top3: 0.8380 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.5333 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 19:05:11 - mmengine - INFO - Epoch(train) [7][2200/3842] lr: 2.9142e-02 eta: 1:58:34 time: 0.5363 data_time: 0.0189 memory: 10484 grad_norm: 0.1956 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8182 recall@top3: 0.8636 prec@top3: 0.6667 recall@top5: 0.9394 prec@top5: 0.4545 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 19:05:22 - mmengine - INFO - Epoch(train) [7][2220/3842] lr: 2.9067e-02 eta: 1:58:23 time: 0.5420 data_time: 0.0176 memory: 10484 grad_norm: 0.1873 recall@thr=0.5: 0.8377 prec@thr=0.5: 0.8202 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9605 prec@top5: 0.4842 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 19:05:32 - mmengine - INFO - Epoch(train) [7][2240/3842] lr: 2.8993e-02 eta: 1:58:12 time: 0.5023 data_time: 0.0173 memory: 10484 grad_norm: 0.1899 recall@thr=0.5: 0.6451 prec@thr=0.5: 0.7299 recall@top3: 0.7424 prec@top3: 0.7500 recall@top5: 0.8750 prec@top5: 0.5417 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 19:05:42 - mmengine - INFO - Epoch(train) [7][2260/3842] lr: 2.8918e-02 eta: 1:58:01 time: 0.5330 data_time: 0.0169 memory: 10484 grad_norm: 0.1909 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8472 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 19:05:53 - mmengine - INFO - Epoch(train) [7][2280/3842] lr: 2.8843e-02 eta: 1:57:50 time: 0.5156 data_time: 0.0179 memory: 10484 grad_norm: 0.1888 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.7917 recall@top3: 0.9444 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 19:06:03 - mmengine - INFO - Epoch(train) [7][2300/3842] lr: 2.8769e-02 eta: 1:57:39 time: 0.5280 data_time: 0.0174 memory: 10484 grad_norm: 0.1855 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7628 recall@top3: 0.7436 prec@top3: 0.6667 recall@top5: 0.8974 prec@top5: 0.4923 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 19:06:14 - mmengine - INFO - Epoch(train) [7][2320/3842] lr: 2.8694e-02 eta: 1:57:28 time: 0.5361 data_time: 0.0206 memory: 10484 grad_norm: 0.1822 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.8627 recall@top3: 0.8627 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4471 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 19:06:25 - mmengine - INFO - Epoch(train) [7][2340/3842] lr: 2.8620e-02 eta: 1:57:17 time: 0.5423 data_time: 0.0168 memory: 10484 grad_norm: 0.1860 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6250 recall@top3: 0.7396 prec@top3: 0.5417 recall@top5: 0.7604 prec@top5: 0.3375 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 19:06:35 - mmengine - INFO - Epoch(train) [7][2360/3842] lr: 2.8545e-02 eta: 1:57:06 time: 0.5077 data_time: 0.0214 memory: 10484 grad_norm: 0.1837 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8533 recall@top3: 0.9278 prec@top3: 0.8444 recall@top5: 0.9667 prec@top5: 0.5333 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 19:06:45 - mmengine - INFO - Epoch(train) [7][2380/3842] lr: 2.8471e-02 eta: 1:56:55 time: 0.5191 data_time: 0.0184 memory: 10484 grad_norm: 0.1794 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8519 recall@top3: 0.8981 prec@top3: 0.8148 recall@top5: 0.9259 prec@top5: 0.5111 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 19:06:56 - mmengine - INFO - Epoch(train) [7][2400/3842] lr: 2.8397e-02 eta: 1:56:44 time: 0.5301 data_time: 0.0215 memory: 10484 grad_norm: 0.1932 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.4722 recall@top3: 0.6250 prec@top3: 0.4167 recall@top5: 0.7500 prec@top5: 0.2833 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 19:07:06 - mmengine - INFO - Epoch(train) [7][2420/3842] lr: 2.8322e-02 eta: 1:56:33 time: 0.5238 data_time: 0.0161 memory: 10484 grad_norm: 0.1858 recall@thr=0.5: 0.8656 prec@thr=0.5: 0.9005 recall@top3: 0.8952 prec@top3: 0.7634 recall@top5: 0.9704 prec@top5: 0.5161 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 19:07:17 - mmengine - INFO - Epoch(train) [7][2440/3842] lr: 2.8248e-02 eta: 1:56:22 time: 0.5254 data_time: 0.0203 memory: 10484 grad_norm: 0.1820 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6071 recall@top3: 0.7143 prec@top3: 0.5000 recall@top5: 0.8929 prec@top5: 0.3714 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 19:07:27 - mmengine - INFO - Epoch(train) [7][2460/3842] lr: 2.8174e-02 eta: 1:56:11 time: 0.5229 data_time: 0.0161 memory: 10484 grad_norm: 0.1891 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7895 recall@top3: 0.7807 prec@top3: 0.6842 recall@top5: 0.9298 prec@top5: 0.4632 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 19:07:38 - mmengine - INFO - Epoch(train) [7][2480/3842] lr: 2.8099e-02 eta: 1:56:01 time: 0.5312 data_time: 0.0208 memory: 10484 grad_norm: 0.1777 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.5789 recall@top3: 0.8246 prec@top3: 0.5789 recall@top5: 0.8947 prec@top5: 0.3789 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 19:07:49 - mmengine - INFO - Epoch(train) [7][2500/3842] lr: 2.8025e-02 eta: 1:55:50 time: 0.5326 data_time: 0.0168 memory: 10484 grad_norm: 0.1843 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8083 recall@top3: 0.8583 prec@top3: 0.5500 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 19:07:59 - mmengine - INFO - Epoch(train) [7][2520/3842] lr: 2.7951e-02 eta: 1:55:39 time: 0.5280 data_time: 0.0198 memory: 10484 grad_norm: 0.1861 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.7135 recall@top3: 0.7812 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 19:08:09 - mmengine - INFO - Epoch(train) [7][2540/3842] lr: 2.7877e-02 eta: 1:55:28 time: 0.5033 data_time: 0.0168 memory: 10484 grad_norm: 0.1897 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8509 recall@top3: 0.8070 prec@top3: 0.7018 recall@top5: 0.8860 prec@top5: 0.4737 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 19:08:20 - mmengine - INFO - Epoch(train) [7][2560/3842] lr: 2.7803e-02 eta: 1:55:17 time: 0.5224 data_time: 0.0186 memory: 10484 grad_norm: 0.1996 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.5909 recall@top3: 0.9091 prec@top3: 0.5152 recall@top5: 1.0000 prec@top5: 0.3273 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 19:08:30 - mmengine - INFO - Epoch(train) [7][2580/3842] lr: 2.7729e-02 eta: 1:55:06 time: 0.5253 data_time: 0.0167 memory: 10484 grad_norm: 0.1918 recall@thr=0.5: 0.7947 prec@thr=0.5: 0.9386 recall@top3: 0.9053 prec@top3: 0.8772 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 19:08:41 - mmengine - INFO - Epoch(train) [7][2600/3842] lr: 2.7655e-02 eta: 1:54:55 time: 0.5263 data_time: 0.0178 memory: 10484 grad_norm: 0.1873 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.8143 recall@top3: 0.6563 prec@top3: 0.7302 recall@top5: 0.9087 prec@top5: 0.6286 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 19:08:51 - mmengine - INFO - Epoch(train) [7][2620/3842] lr: 2.7581e-02 eta: 1:54:44 time: 0.5271 data_time: 0.0165 memory: 10484 grad_norm: 0.1906 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9583 recall@top3: 0.7917 prec@top3: 0.7222 recall@top5: 0.8889 prec@top5: 0.5000 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 19:09:02 - mmengine - INFO - Epoch(train) [7][2640/3842] lr: 2.7507e-02 eta: 1:54:33 time: 0.5193 data_time: 0.0179 memory: 10484 grad_norm: 0.1914 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6429 recall@top3: 0.8571 prec@top3: 0.5714 recall@top5: 0.8571 prec@top5: 0.3429 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 19:09:12 - mmengine - INFO - Epoch(train) [7][2660/3842] lr: 2.7433e-02 eta: 1:54:22 time: 0.5325 data_time: 0.0267 memory: 10484 grad_norm: 0.1902 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6519 recall@top3: 0.7269 prec@top3: 0.5741 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 19:09:23 - mmengine - INFO - Epoch(train) [7][2680/3842] lr: 2.7359e-02 eta: 1:54:11 time: 0.5290 data_time: 0.0180 memory: 10484 grad_norm: 0.1931 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8824 recall@top3: 0.8265 prec@top3: 0.7647 recall@top5: 0.9029 prec@top5: 0.5294 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 19:09:33 - mmengine - INFO - Epoch(train) [7][2700/3842] lr: 2.7286e-02 eta: 1:54:00 time: 0.5243 data_time: 0.0184 memory: 10484 grad_norm: 0.1868 recall@thr=0.5: 0.6281 prec@thr=0.5: 0.8333 recall@top3: 0.6930 prec@top3: 0.7018 recall@top5: 0.8807 prec@top5: 0.5474 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 19:09:44 - mmengine - INFO - Epoch(train) [7][2720/3842] lr: 2.7212e-02 eta: 1:53:49 time: 0.5056 data_time: 0.0160 memory: 10484 grad_norm: 0.1921 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.8254 recall@top3: 0.8690 prec@top3: 0.7937 recall@top5: 0.9524 prec@top5: 0.5333 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 19:09:54 - mmengine - INFO - Epoch(train) [7][2740/3842] lr: 2.7138e-02 eta: 1:53:38 time: 0.5262 data_time: 0.0162 memory: 10484 grad_norm: 0.1931 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.8125 recall@top3: 0.7083 prec@top3: 0.6458 recall@top5: 0.9062 prec@top5: 0.5000 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 19:10:04 - mmengine - INFO - Epoch(train) [7][2760/3842] lr: 2.7064e-02 eta: 1:53:27 time: 0.4984 data_time: 0.0157 memory: 10484 grad_norm: 0.1957 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8039 recall@top3: 0.9020 prec@top3: 0.6863 recall@top5: 0.9314 prec@top5: 0.4353 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 19:10:15 - mmengine - INFO - Epoch(train) [7][2780/3842] lr: 2.6991e-02 eta: 1:53:16 time: 0.5533 data_time: 0.0233 memory: 10484 grad_norm: 0.1999 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.5778 recall@top3: 0.6889 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 19:10:26 - mmengine - INFO - Epoch(train) [7][2800/3842] lr: 2.6917e-02 eta: 1:53:05 time: 0.5227 data_time: 0.0180 memory: 10484 grad_norm: 0.1893 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7696 recall@top3: 0.7826 prec@top3: 0.6377 recall@top5: 0.8986 prec@top5: 0.4522 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 19:10:36 - mmengine - INFO - Epoch(train) [7][2820/3842] lr: 2.6844e-02 eta: 1:52:54 time: 0.5266 data_time: 0.0171 memory: 10484 grad_norm: 0.1817 recall@thr=0.5: 0.7118 prec@thr=0.5: 0.9706 recall@top3: 0.8255 prec@top3: 0.7059 recall@top5: 0.9020 prec@top5: 0.4941 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 19:10:47 - mmengine - INFO - Epoch(train) [7][2840/3842] lr: 2.6770e-02 eta: 1:52:43 time: 0.5238 data_time: 0.0161 memory: 10484 grad_norm: 0.1851 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9028 recall@top3: 0.9514 prec@top3: 0.6667 recall@top5: 0.9792 prec@top5: 0.4167 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 19:10:57 - mmengine - INFO - Epoch(train) [7][2860/3842] lr: 2.6697e-02 eta: 1:52:32 time: 0.5310 data_time: 0.0180 memory: 10484 grad_norm: 0.1847 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.8750 recall@top3: 0.8375 prec@top3: 0.7167 recall@top5: 0.9333 prec@top5: 0.4700 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 19:11:08 - mmengine - INFO - Epoch(train) [7][2880/3842] lr: 2.6623e-02 eta: 1:52:21 time: 0.5257 data_time: 0.0182 memory: 10484 grad_norm: 0.1884 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8958 recall@top3: 0.8646 prec@top3: 0.7292 recall@top5: 0.9167 prec@top5: 0.4750 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 19:11:19 - mmengine - INFO - Epoch(train) [7][2900/3842] lr: 2.6550e-02 eta: 1:52:11 time: 0.5420 data_time: 0.0165 memory: 10484 grad_norm: 0.1963 recall@thr=0.5: 0.5492 prec@thr=0.5: 0.6553 recall@top3: 0.7439 prec@top3: 0.6212 recall@top5: 0.8871 prec@top5: 0.4636 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 19:11:29 - mmengine - INFO - Epoch(train) [7][2920/3842] lr: 2.6477e-02 eta: 1:52:00 time: 0.5016 data_time: 0.0168 memory: 10484 grad_norm: 0.1950 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.8083 recall@top3: 0.6600 prec@top3: 0.7167 recall@top5: 0.8800 prec@top5: 0.5500 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 19:11:39 - mmengine - INFO - Epoch(train) [7][2940/3842] lr: 2.6404e-02 eta: 1:51:49 time: 0.5295 data_time: 0.0172 memory: 10484 grad_norm: 0.1917 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.8125 recall@top3: 0.8625 prec@top3: 0.7167 recall@top5: 0.9875 prec@top5: 0.4900 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 19:11:43 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 19:11:50 - mmengine - INFO - Epoch(train) [7][2960/3842] lr: 2.6330e-02 eta: 1:51:38 time: 0.5283 data_time: 0.0174 memory: 10484 grad_norm: 0.1884 recall@thr=0.5: 0.8389 prec@thr=0.5: 0.8111 recall@top3: 0.9056 prec@top3: 0.7556 recall@top5: 0.9778 prec@top5: 0.5067 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:12:01 - mmengine - INFO - Epoch(train) [7][2980/3842] lr: 2.6257e-02 eta: 1:51:27 time: 0.5518 data_time: 0.0174 memory: 10484 grad_norm: 0.1852 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.9306 recall@top3: 0.8069 prec@top3: 0.6111 recall@top5: 0.9625 prec@top5: 0.4500 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 19:12:11 - mmengine - INFO - Epoch(train) [7][3000/3842] lr: 2.6184e-02 eta: 1:51:16 time: 0.5310 data_time: 0.0178 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7812 recall@top3: 0.7969 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.5125 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 19:12:22 - mmengine - INFO - Epoch(train) [7][3020/3842] lr: 2.6111e-02 eta: 1:51:05 time: 0.5288 data_time: 0.0179 memory: 10484 grad_norm: 0.1900 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8846 recall@top3: 0.7821 prec@top3: 0.6154 recall@top5: 0.9615 prec@top5: 0.4615 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 19:12:32 - mmengine - INFO - Epoch(train) [7][3040/3842] lr: 2.6038e-02 eta: 1:50:54 time: 0.5064 data_time: 0.0173 memory: 10484 grad_norm: 0.1999 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.7750 recall@top3: 0.6683 prec@top3: 0.7333 recall@top5: 0.8750 prec@top5: 0.5900 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 19:12:43 - mmengine - INFO - Epoch(train) [7][3060/3842] lr: 2.5965e-02 eta: 1:50:43 time: 0.5429 data_time: 0.0187 memory: 10484 grad_norm: 0.1859 recall@thr=0.5: 0.8646 prec@thr=0.5: 1.0000 recall@top3: 0.9062 prec@top3: 0.9722 recall@top5: 0.9792 prec@top5: 0.6417 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 19:12:53 - mmengine - INFO - Epoch(train) [7][3080/3842] lr: 2.5892e-02 eta: 1:50:32 time: 0.5050 data_time: 0.0178 memory: 10484 grad_norm: 0.1825 recall@thr=0.5: 0.6667 prec@thr=0.5: 1.0000 recall@top3: 0.8571 prec@top3: 0.7619 recall@top5: 0.9821 prec@top5: 0.5571 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 19:13:04 - mmengine - INFO - Epoch(train) [7][3100/3842] lr: 2.5819e-02 eta: 1:50:21 time: 0.5322 data_time: 0.0172 memory: 10484 grad_norm: 0.1903 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8039 recall@top3: 0.7598 prec@top3: 0.7647 recall@top5: 0.9461 prec@top5: 0.5529 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 19:13:14 - mmengine - INFO - Epoch(train) [7][3120/3842] lr: 2.5746e-02 eta: 1:50:10 time: 0.5043 data_time: 0.0172 memory: 10484 grad_norm: 0.1892 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.8333 recall@top3: 0.7628 prec@top3: 0.6923 recall@top5: 0.9551 prec@top5: 0.5385 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 19:13:24 - mmengine - INFO - Epoch(train) [7][3140/3842] lr: 2.5674e-02 eta: 1:49:59 time: 0.5030 data_time: 0.0162 memory: 10484 grad_norm: 0.1935 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.7056 recall@top3: 0.8222 prec@top3: 0.5778 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 19:13:34 - mmengine - INFO - Epoch(train) [7][3160/3842] lr: 2.5601e-02 eta: 1:49:48 time: 0.5302 data_time: 0.0169 memory: 10484 grad_norm: 0.1961 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.7560 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 19:13:45 - mmengine - INFO - Epoch(train) [7][3180/3842] lr: 2.5528e-02 eta: 1:49:37 time: 0.5248 data_time: 0.0164 memory: 10484 grad_norm: 0.1883 recall@thr=0.5: 0.9667 prec@thr=0.5: 0.9333 recall@top3: 0.9667 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 19:13:56 - mmengine - INFO - Epoch(train) [7][3200/3842] lr: 2.5456e-02 eta: 1:49:27 time: 0.5570 data_time: 0.0172 memory: 10484 grad_norm: 0.1958 recall@thr=0.5: 0.7573 prec@thr=0.5: 0.8750 recall@top3: 0.8740 prec@top3: 0.7083 recall@top5: 0.9146 prec@top5: 0.4625 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 19:14:06 - mmengine - INFO - Epoch(train) [7][3220/3842] lr: 2.5383e-02 eta: 1:49:16 time: 0.5004 data_time: 0.0166 memory: 10484 grad_norm: 0.1814 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7778 recall@top3: 0.7292 prec@top3: 0.6111 recall@top5: 0.8264 prec@top5: 0.4333 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 19:14:17 - mmengine - INFO - Epoch(train) [7][3240/3842] lr: 2.5311e-02 eta: 1:49:05 time: 0.5533 data_time: 0.0206 memory: 10484 grad_norm: 0.1764 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8167 recall@top3: 0.8667 prec@top3: 0.7556 recall@top5: 0.9167 prec@top5: 0.4933 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 19:14:28 - mmengine - INFO - Epoch(train) [7][3260/3842] lr: 2.5238e-02 eta: 1:48:54 time: 0.5303 data_time: 0.0170 memory: 10484 grad_norm: 0.1936 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.7917 recall@top3: 0.8810 prec@top3: 0.6905 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 19:14:38 - mmengine - INFO - Epoch(train) [7][3280/3842] lr: 2.5166e-02 eta: 1:48:43 time: 0.5340 data_time: 0.0237 memory: 10484 grad_norm: 0.1852 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6765 recall@top3: 0.6667 prec@top3: 0.5098 recall@top5: 0.7598 prec@top5: 0.3765 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 19:14:48 - mmengine - INFO - Epoch(train) [7][3300/3842] lr: 2.5093e-02 eta: 1:48:32 time: 0.5001 data_time: 0.0170 memory: 10484 grad_norm: 0.1820 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7917 recall@top3: 0.8333 prec@top3: 0.7407 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 19:14:59 - mmengine - INFO - Epoch(train) [7][3320/3842] lr: 2.5021e-02 eta: 1:48:21 time: 0.5233 data_time: 0.0159 memory: 10484 grad_norm: 0.1934 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.9687 recall@top3: 0.9375 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 19:15:09 - mmengine - INFO - Epoch(train) [7][3340/3842] lr: 2.4949e-02 eta: 1:48:10 time: 0.5246 data_time: 0.0176 memory: 10484 grad_norm: 0.1927 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6615 recall@top3: 0.6146 prec@top3: 0.4583 recall@top5: 0.8438 prec@top5: 0.3750 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 19:15:20 - mmengine - INFO - Epoch(train) [7][3360/3842] lr: 2.4877e-02 eta: 1:47:59 time: 0.5491 data_time: 0.0180 memory: 10484 grad_norm: 0.1867 recall@thr=0.5: 0.7365 prec@thr=0.5: 0.8281 recall@top3: 0.7177 prec@top3: 0.7083 recall@top5: 0.8708 prec@top5: 0.5500 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 19:15:31 - mmengine - INFO - Epoch(train) [7][3380/3842] lr: 2.4804e-02 eta: 1:47:48 time: 0.5255 data_time: 0.0173 memory: 10484 grad_norm: 0.1844 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8485 recall@top3: 0.7879 prec@top3: 0.5455 recall@top5: 0.9697 prec@top5: 0.4364 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 19:15:41 - mmengine - INFO - Epoch(train) [7][3400/3842] lr: 2.4732e-02 eta: 1:47:38 time: 0.5275 data_time: 0.0172 memory: 10484 grad_norm: 0.1961 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7500 recall@top3: 0.9083 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 19:15:52 - mmengine - INFO - Epoch(train) [7][3420/3842] lr: 2.4660e-02 eta: 1:47:27 time: 0.5237 data_time: 0.0165 memory: 10484 grad_norm: 0.1963 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7708 recall@top3: 0.8333 prec@top3: 0.7083 recall@top5: 0.9062 prec@top5: 0.4750 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 19:16:02 - mmengine - INFO - Epoch(train) [7][3440/3842] lr: 2.4588e-02 eta: 1:47:16 time: 0.5248 data_time: 0.0159 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7895 recall@top3: 0.7193 prec@top3: 0.6667 recall@top5: 0.8289 prec@top5: 0.4737 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 19:16:13 - mmengine - INFO - Epoch(train) [7][3460/3842] lr: 2.4516e-02 eta: 1:47:05 time: 0.5218 data_time: 0.0175 memory: 10484 grad_norm: 0.1876 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.6825 recall@top3: 0.7778 prec@top3: 0.6984 recall@top5: 0.9563 prec@top5: 0.5238 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 19:16:24 - mmengine - INFO - Epoch(train) [7][3480/3842] lr: 2.4444e-02 eta: 1:46:54 time: 0.5545 data_time: 0.0207 memory: 10484 grad_norm: 0.1894 recall@thr=0.5: 0.7737 prec@thr=0.5: 0.8404 recall@top3: 0.7825 prec@top3: 0.7895 recall@top5: 0.8833 prec@top5: 0.5579 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 19:16:35 - mmengine - INFO - Epoch(train) [7][3500/3842] lr: 2.4373e-02 eta: 1:46:43 time: 0.5483 data_time: 0.0182 memory: 10484 grad_norm: 0.1863 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8229 recall@top3: 0.7500 prec@top3: 0.7292 recall@top5: 0.8750 prec@top5: 0.5250 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 19:16:45 - mmengine - INFO - Epoch(train) [7][3520/3842] lr: 2.4301e-02 eta: 1:46:32 time: 0.5258 data_time: 0.0183 memory: 10484 grad_norm: 0.1912 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8125 recall@top3: 0.8646 prec@top3: 0.6458 recall@top5: 0.9271 prec@top5: 0.4250 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 19:16:56 - mmengine - INFO - Epoch(train) [7][3540/3842] lr: 2.4229e-02 eta: 1:46:22 time: 0.5493 data_time: 0.0186 memory: 10484 grad_norm: 0.1865 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.6923 recall@top3: 0.7949 prec@top3: 0.5641 recall@top5: 0.9744 prec@top5: 0.3846 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 19:17:07 - mmengine - INFO - Epoch(train) [7][3560/3842] lr: 2.4157e-02 eta: 1:46:11 time: 0.5230 data_time: 0.0193 memory: 10484 grad_norm: 0.1850 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6905 recall@top3: 0.8810 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4429 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 19:17:17 - mmengine - INFO - Epoch(train) [7][3580/3842] lr: 2.4086e-02 eta: 1:46:00 time: 0.5058 data_time: 0.0175 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.8884 recall@top3: 0.9601 prec@top3: 0.8406 recall@top5: 1.0000 prec@top5: 0.5304 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 19:17:28 - mmengine - INFO - Epoch(train) [7][3600/3842] lr: 2.4014e-02 eta: 1:45:49 time: 0.5281 data_time: 0.0164 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5694 recall@top3: 0.7500 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 19:17:38 - mmengine - INFO - Epoch(train) [7][3620/3842] lr: 2.3943e-02 eta: 1:45:38 time: 0.5268 data_time: 0.0187 memory: 10484 grad_norm: 0.1780 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8640 recall@top3: 0.9561 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 19:17:49 - mmengine - INFO - Epoch(train) [7][3640/3842] lr: 2.3871e-02 eta: 1:45:27 time: 0.5278 data_time: 0.0174 memory: 10484 grad_norm: 0.1897 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8704 recall@top3: 0.8750 prec@top3: 0.7963 recall@top5: 0.9537 prec@top5: 0.5333 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 19:17:59 - mmengine - INFO - Epoch(train) [7][3660/3842] lr: 2.3800e-02 eta: 1:45:16 time: 0.5255 data_time: 0.0173 memory: 10484 grad_norm: 0.1920 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9211 recall@top3: 0.9298 prec@top3: 0.8246 recall@top5: 0.9825 prec@top5: 0.5263 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 19:18:10 - mmengine - INFO - Epoch(train) [7][3680/3842] lr: 2.3729e-02 eta: 1:45:05 time: 0.5253 data_time: 0.0156 memory: 10484 grad_norm: 0.1883 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7292 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 19:18:20 - mmengine - INFO - Epoch(train) [7][3700/3842] lr: 2.3657e-02 eta: 1:44:54 time: 0.4994 data_time: 0.0182 memory: 10484 grad_norm: 0.2028 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7333 recall@top3: 0.7444 prec@top3: 0.6000 recall@top5: 0.8944 prec@top5: 0.4400 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 19:18:30 - mmengine - INFO - Epoch(train) [7][3720/3842] lr: 2.3586e-02 eta: 1:44:43 time: 0.5009 data_time: 0.0137 memory: 10484 grad_norm: 0.1919 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8235 recall@top3: 0.7647 prec@top3: 0.6078 recall@top5: 0.9118 prec@top5: 0.4353 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 19:18:41 - mmengine - INFO - Epoch(train) [7][3740/3842] lr: 2.3515e-02 eta: 1:44:32 time: 0.5425 data_time: 0.0192 memory: 10484 grad_norm: 0.1895 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7652 recall@top3: 0.7197 prec@top3: 0.6364 recall@top5: 0.9545 prec@top5: 0.4909 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 19:18:51 - mmengine - INFO - Epoch(train) [7][3760/3842] lr: 2.3444e-02 eta: 1:44:21 time: 0.5251 data_time: 0.0174 memory: 10484 grad_norm: 0.1882 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.8512 recall@top3: 0.7917 prec@top3: 0.5952 recall@top5: 0.8810 prec@top5: 0.4143 loss_action_cls: 0.0446 loss: 0.0446 2022/08/10 19:19:02 - mmengine - INFO - Epoch(train) [7][3780/3842] lr: 2.3373e-02 eta: 1:44:10 time: 0.5309 data_time: 0.0172 memory: 10484 grad_norm: 0.1804 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8922 recall@top3: 0.9020 prec@top3: 0.7451 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 19:19:12 - mmengine - INFO - Epoch(train) [7][3800/3842] lr: 2.3302e-02 eta: 1:44:00 time: 0.5284 data_time: 0.0177 memory: 10484 grad_norm: 0.1838 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7935 recall@top3: 0.7971 prec@top3: 0.7971 recall@top5: 1.0000 prec@top5: 0.5739 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 19:19:23 - mmengine - INFO - Epoch(train) [7][3820/3842] lr: 2.3231e-02 eta: 1:43:49 time: 0.5300 data_time: 0.0159 memory: 10484 grad_norm: 0.1908 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.9298 recall@top3: 0.8333 prec@top3: 0.8421 recall@top5: 0.9474 prec@top5: 0.5895 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 19:19:33 - mmengine - INFO - Epoch(train) [7][3840/3842] lr: 2.3160e-02 eta: 1:43:38 time: 0.5240 data_time: 0.0199 memory: 10484 grad_norm: 0.1908 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.7948 recall@top3: 0.9219 prec@top3: 0.7292 recall@top5: 0.9844 prec@top5: 0.4875 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 19:19:34 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 19:19:34 - mmengine - INFO - Epoch(train) [7][3842/3842] lr: 2.3153e-02 eta: 1:43:38 time: 0.5110 data_time: 0.0192 memory: 10484 grad_norm: 0.1958 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.3333 recall@top3: 0.8000 prec@top3: 0.4000 recall@top5: 0.9000 prec@top5: 0.2600 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 19:19:34 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/10 19:19:42 - mmengine - INFO - Epoch(val) [7][20/6282] eta: 0:07:53 time: 0.0757 data_time: 0.0250 memory: 703 2022/08/10 19:19:43 - mmengine - INFO - Epoch(val) [7][40/6282] eta: 0:05:46 time: 0.0556 data_time: 0.0057 memory: 703 2022/08/10 19:19:44 - mmengine - INFO - Epoch(val) [7][60/6282] eta: 0:08:24 time: 0.0811 data_time: 0.0063 memory: 703 2022/08/10 19:19:46 - mmengine - INFO - Epoch(val) [7][80/6282] eta: 0:06:05 time: 0.0589 data_time: 0.0073 memory: 703 2022/08/10 19:19:47 - mmengine - INFO - Epoch(val) [7][100/6282] eta: 0:05:47 time: 0.0563 data_time: 0.0067 memory: 703 2022/08/10 19:19:48 - mmengine - INFO - Epoch(val) [7][120/6282] eta: 0:06:35 time: 0.0642 data_time: 0.0079 memory: 809 2022/08/10 19:19:50 - mmengine - INFO - Epoch(val) [7][140/6282] eta: 0:07:35 time: 0.0741 data_time: 0.0087 memory: 809 2022/08/10 19:19:51 - mmengine - INFO - Epoch(val) [7][160/6282] eta: 0:06:55 time: 0.0679 data_time: 0.0077 memory: 809 2022/08/10 19:19:52 - mmengine - INFO - Epoch(val) [7][180/6282] eta: 0:07:01 time: 0.0691 data_time: 0.0062 memory: 809 2022/08/10 19:19:54 - mmengine - INFO - Epoch(val) [7][200/6282] eta: 0:07:01 time: 0.0693 data_time: 0.0083 memory: 809 2022/08/10 19:19:55 - mmengine - INFO - Epoch(val) [7][220/6282] eta: 0:06:10 time: 0.0612 data_time: 0.0081 memory: 738 2022/08/10 19:19:57 - mmengine - INFO - Epoch(val) [7][240/6282] eta: 0:08:38 time: 0.0858 data_time: 0.0075 memory: 738 2022/08/10 19:19:58 - mmengine - INFO - Epoch(val) [7][260/6282] eta: 0:06:11 time: 0.0616 data_time: 0.0077 memory: 738 2022/08/10 19:19:59 - mmengine - INFO - Epoch(val) [7][280/6282] eta: 0:05:50 time: 0.0584 data_time: 0.0080 memory: 738 2022/08/10 19:20:00 - mmengine - INFO - Epoch(val) [7][300/6282] eta: 0:05:22 time: 0.0540 data_time: 0.0043 memory: 809 2022/08/10 19:20:02 - mmengine - INFO - Epoch(val) [7][320/6282] eta: 0:07:21 time: 0.0740 data_time: 0.0141 memory: 809 2022/08/10 19:20:04 - mmengine - INFO - Epoch(val) [7][340/6282] eta: 0:09:32 time: 0.0964 data_time: 0.0344 memory: 809 2022/08/10 19:20:06 - mmengine - INFO - Epoch(val) [7][360/6282] eta: 0:09:55 time: 0.1005 data_time: 0.0382 memory: 809 2022/08/10 19:20:07 - mmengine - INFO - Epoch(val) [7][380/6282] eta: 0:09:22 time: 0.0953 data_time: 0.0232 memory: 809 2022/08/10 19:20:09 - mmengine - INFO - Epoch(val) [7][400/6282] eta: 0:08:18 time: 0.0847 data_time: 0.0269 memory: 809 2022/08/10 19:20:10 - mmengine - INFO - Epoch(val) [7][420/6282] eta: 0:06:10 time: 0.0631 data_time: 0.0086 memory: 743 2022/08/10 19:20:12 - mmengine - INFO - Epoch(val) [7][440/6282] eta: 0:05:49 time: 0.0599 data_time: 0.0073 memory: 743 2022/08/10 19:20:13 - mmengine - INFO - Epoch(val) [7][460/6282] eta: 0:06:23 time: 0.0658 data_time: 0.0119 memory: 743 2022/08/10 19:20:14 - mmengine - INFO - Epoch(val) [7][480/6282] eta: 0:05:57 time: 0.0616 data_time: 0.0075 memory: 743 2022/08/10 19:20:15 - mmengine - INFO - Epoch(val) [7][500/6282] eta: 0:05:44 time: 0.0595 data_time: 0.0087 memory: 743 2022/08/10 19:20:17 - mmengine - INFO - Epoch(val) [7][520/6282] eta: 0:05:46 time: 0.0600 data_time: 0.0086 memory: 738 2022/08/10 19:20:18 - mmengine - INFO - Epoch(val) [7][540/6282] eta: 0:06:00 time: 0.0628 data_time: 0.0089 memory: 738 2022/08/10 19:20:19 - mmengine - INFO - Epoch(val) [7][560/6282] eta: 0:05:34 time: 0.0584 data_time: 0.0070 memory: 738 2022/08/10 19:20:20 - mmengine - INFO - Epoch(val) [7][580/6282] eta: 0:05:28 time: 0.0576 data_time: 0.0075 memory: 738 2022/08/10 19:20:21 - mmengine - INFO - Epoch(val) [7][600/6282] eta: 0:05:19 time: 0.0562 data_time: 0.0061 memory: 738 2022/08/10 19:20:22 - mmengine - INFO - Epoch(val) [7][620/6282] eta: 0:05:03 time: 0.0536 data_time: 0.0056 memory: 738 2022/08/10 19:20:23 - mmengine - INFO - Epoch(val) [7][640/6282] eta: 0:04:41 time: 0.0500 data_time: 0.0043 memory: 733 2022/08/10 19:20:24 - mmengine - INFO - Epoch(val) [7][660/6282] eta: 0:05:12 time: 0.0557 data_time: 0.0072 memory: 733 2022/08/10 19:20:26 - mmengine - INFO - Epoch(val) [7][680/6282] eta: 0:04:50 time: 0.0518 data_time: 0.0061 memory: 733 2022/08/10 19:20:27 - mmengine - INFO - Epoch(val) [7][700/6282] eta: 0:04:57 time: 0.0532 data_time: 0.0062 memory: 733 2022/08/10 19:20:29 - mmengine - INFO - Epoch(val) [7][720/6282] eta: 0:11:12 time: 0.1208 data_time: 0.0659 memory: 809 2022/08/10 19:20:32 - mmengine - INFO - Epoch(val) [7][740/6282] eta: 0:13:58 time: 0.1512 data_time: 0.0940 memory: 809 2022/08/10 19:20:35 - mmengine - INFO - Epoch(val) [7][760/6282] eta: 0:11:47 time: 0.1281 data_time: 0.0721 memory: 809 2022/08/10 19:20:38 - mmengine - INFO - Epoch(val) [7][780/6282] eta: 0:17:09 time: 0.1870 data_time: 0.1248 memory: 809 2022/08/10 19:20:41 - mmengine - INFO - Epoch(val) [7][800/6282] eta: 0:13:44 time: 0.1504 data_time: 0.0828 memory: 809 2022/08/10 19:20:43 - mmengine - INFO - Epoch(val) [7][820/6282] eta: 0:09:43 time: 0.1068 data_time: 0.0495 memory: 809 2022/08/10 19:20:45 - mmengine - INFO - Epoch(val) [7][840/6282] eta: 0:05:47 time: 0.0638 data_time: 0.0063 memory: 738 2022/08/10 19:20:46 - mmengine - INFO - Epoch(val) [7][860/6282] eta: 0:05:34 time: 0.0617 data_time: 0.0079 memory: 738 2022/08/10 19:20:47 - mmengine - INFO - Epoch(val) [7][880/6282] eta: 0:05:22 time: 0.0597 data_time: 0.0090 memory: 738 2022/08/10 19:20:49 - mmengine - INFO - Epoch(val) [7][900/6282] eta: 0:06:10 time: 0.0689 data_time: 0.0099 memory: 738 2022/08/10 19:20:50 - mmengine - INFO - Epoch(val) [7][920/6282] eta: 0:05:40 time: 0.0634 data_time: 0.0113 memory: 738 2022/08/10 19:20:51 - mmengine - INFO - Epoch(val) [7][940/6282] eta: 0:05:21 time: 0.0602 data_time: 0.0079 memory: 703 2022/08/10 19:20:52 - mmengine - INFO - Epoch(val) [7][960/6282] eta: 0:05:11 time: 0.0586 data_time: 0.0084 memory: 703 2022/08/10 19:20:53 - mmengine - INFO - Epoch(val) [7][980/6282] eta: 0:05:20 time: 0.0604 data_time: 0.0111 memory: 703 2022/08/10 19:20:55 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:05:06 time: 0.0580 data_time: 0.0084 memory: 703 2022/08/10 19:20:56 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:04:54 time: 0.0560 data_time: 0.0064 memory: 738 2022/08/10 19:20:57 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:05:01 time: 0.0575 data_time: 0.0083 memory: 738 2022/08/10 19:20:58 - mmengine - INFO - Epoch(val) [7][1060/6282] eta: 0:05:00 time: 0.0576 data_time: 0.0074 memory: 738 2022/08/10 19:20:59 - mmengine - INFO - Epoch(val) [7][1080/6282] eta: 0:04:57 time: 0.0573 data_time: 0.0065 memory: 738 2022/08/10 19:21:00 - mmengine - INFO - Epoch(val) [7][1100/6282] eta: 0:04:40 time: 0.0541 data_time: 0.0051 memory: 738 2022/08/10 19:21:01 - mmengine - INFO - Epoch(val) [7][1120/6282] eta: 0:04:59 time: 0.0580 data_time: 0.0084 memory: 738 2022/08/10 19:21:03 - mmengine - INFO - Epoch(val) [7][1140/6282] eta: 0:04:37 time: 0.0540 data_time: 0.0067 memory: 738 2022/08/10 19:21:04 - mmengine - INFO - Epoch(val) [7][1160/6282] eta: 0:08:19 time: 0.0974 data_time: 0.0269 memory: 738 2022/08/10 19:21:06 - mmengine - INFO - Epoch(val) [7][1180/6282] eta: 0:04:31 time: 0.0533 data_time: 0.0043 memory: 738 2022/08/10 19:21:07 - mmengine - INFO - Epoch(val) [7][1200/6282] eta: 0:04:17 time: 0.0507 data_time: 0.0046 memory: 738 2022/08/10 19:21:08 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:04:22 time: 0.0519 data_time: 0.0048 memory: 738 2022/08/10 19:21:10 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:10:13 time: 0.1216 data_time: 0.0662 memory: 809 2022/08/10 19:21:13 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:10:14 time: 0.1224 data_time: 0.0656 memory: 809 2022/08/10 19:21:15 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:11:58 time: 0.1437 data_time: 0.0854 memory: 809 2022/08/10 19:21:18 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:10:32 time: 0.1269 data_time: 0.0699 memory: 809 2022/08/10 19:21:21 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:11:31 time: 0.1393 data_time: 0.0802 memory: 809 2022/08/10 19:21:23 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:10:22 time: 0.1259 data_time: 0.0677 memory: 809 2022/08/10 19:21:26 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:11:26 time: 0.1395 data_time: 0.0833 memory: 809 2022/08/10 19:21:29 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:11:34 time: 0.1418 data_time: 0.0843 memory: 809 2022/08/10 19:21:32 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:12:23 time: 0.1523 data_time: 0.0912 memory: 809 2022/08/10 19:21:35 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:12:36 time: 0.1555 data_time: 0.0954 memory: 809 2022/08/10 19:21:37 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:06:37 time: 0.0820 data_time: 0.0213 memory: 809 2022/08/10 19:21:38 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:05:29 time: 0.0682 data_time: 0.0066 memory: 809 2022/08/10 19:21:39 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:05:26 time: 0.0681 data_time: 0.0074 memory: 809 2022/08/10 19:21:41 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:05:32 time: 0.0695 data_time: 0.0056 memory: 809 2022/08/10 19:21:42 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:05:17 time: 0.0668 data_time: 0.0075 memory: 911 2022/08/10 19:21:44 - mmengine - INFO - Epoch(val) [7][1540/6282] eta: 0:06:40 time: 0.0845 data_time: 0.0105 memory: 911 2022/08/10 19:21:46 - mmengine - INFO - Epoch(val) [7][1560/6282] eta: 0:06:40 time: 0.0848 data_time: 0.0098 memory: 911 2022/08/10 19:21:47 - mmengine - INFO - Epoch(val) [7][1580/6282] eta: 0:06:22 time: 0.0813 data_time: 0.0079 memory: 911 2022/08/10 19:21:49 - mmengine - INFO - Epoch(val) [7][1600/6282] eta: 0:06:20 time: 0.0813 data_time: 0.0067 memory: 911 2022/08/10 19:21:50 - mmengine - INFO - Epoch(val) [7][1620/6282] eta: 0:06:09 time: 0.0794 data_time: 0.0068 memory: 911 2022/08/10 19:21:52 - mmengine - INFO - Epoch(val) [7][1640/6282] eta: 0:05:00 time: 0.0647 data_time: 0.0050 memory: 809 2022/08/10 19:21:53 - mmengine - INFO - Epoch(val) [7][1660/6282] eta: 0:06:37 time: 0.0860 data_time: 0.0077 memory: 809 2022/08/10 19:21:55 - mmengine - INFO - Epoch(val) [7][1680/6282] eta: 0:05:09 time: 0.0672 data_time: 0.0073 memory: 809 2022/08/10 19:21:56 - mmengine - INFO - Epoch(val) [7][1700/6282] eta: 0:05:03 time: 0.0662 data_time: 0.0058 memory: 809 2022/08/10 19:21:57 - mmengine - INFO - Epoch(val) [7][1720/6282] eta: 0:04:55 time: 0.0648 data_time: 0.0064 memory: 809 2022/08/10 19:21:59 - mmengine - INFO - Epoch(val) [7][1740/6282] eta: 0:04:47 time: 0.0633 data_time: 0.0056 memory: 809 2022/08/10 19:22:00 - mmengine - INFO - Epoch(val) [7][1760/6282] eta: 0:04:46 time: 0.0634 data_time: 0.0062 memory: 809 2022/08/10 19:22:01 - mmengine - INFO - Epoch(val) [7][1780/6282] eta: 0:04:48 time: 0.0640 data_time: 0.0053 memory: 809 2022/08/10 19:22:02 - mmengine - INFO - Epoch(val) [7][1800/6282] eta: 0:04:45 time: 0.0637 data_time: 0.0050 memory: 809 2022/08/10 19:22:04 - mmengine - INFO - Epoch(val) [7][1820/6282] eta: 0:04:51 time: 0.0653 data_time: 0.0063 memory: 809 2022/08/10 19:22:06 - mmengine - INFO - Epoch(val) [7][1840/6282] eta: 0:06:26 time: 0.0870 data_time: 0.0069 memory: 809 2022/08/10 19:22:08 - mmengine - INFO - Epoch(val) [7][1860/6282] eta: 0:10:15 time: 0.1392 data_time: 0.0815 memory: 809 2022/08/10 19:22:11 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:10:30 time: 0.1432 data_time: 0.0824 memory: 809 2022/08/10 19:22:15 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:13:00 time: 0.1781 data_time: 0.1176 memory: 809 2022/08/10 19:22:18 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:11:13 time: 0.1543 data_time: 0.0909 memory: 809 2022/08/10 19:22:21 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:10:16 time: 0.1420 data_time: 0.0781 memory: 809 2022/08/10 19:22:22 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:04:13 time: 0.0587 data_time: 0.0069 memory: 743 2022/08/10 19:22:23 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:04:26 time: 0.0618 data_time: 0.0082 memory: 743 2022/08/10 19:22:24 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:04:27 time: 0.0624 data_time: 0.0089 memory: 743 2022/08/10 19:22:26 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:04:26 time: 0.0625 data_time: 0.0116 memory: 743 2022/08/10 19:22:27 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:05:36 time: 0.0793 data_time: 0.0113 memory: 743 2022/08/10 19:22:28 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:04:20 time: 0.0617 data_time: 0.0085 memory: 743 2022/08/10 19:22:30 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:04:21 time: 0.0623 data_time: 0.0074 memory: 743 2022/08/10 19:22:31 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:04:07 time: 0.0593 data_time: 0.0084 memory: 743 2022/08/10 19:22:32 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:04:19 time: 0.0622 data_time: 0.0080 memory: 743 2022/08/10 19:22:33 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:04:07 time: 0.0598 data_time: 0.0078 memory: 743 2022/08/10 19:22:35 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:04:08 time: 0.0603 data_time: 0.0066 memory: 738 2022/08/10 19:22:36 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:04:06 time: 0.0601 data_time: 0.0090 memory: 738 2022/08/10 19:22:37 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:04:11 time: 0.0617 data_time: 0.0089 memory: 738 2022/08/10 19:22:39 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:05:23 time: 0.0796 data_time: 0.0073 memory: 738 2022/08/10 19:22:40 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:03:55 time: 0.0583 data_time: 0.0072 memory: 738 2022/08/10 19:22:41 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:03:58 time: 0.0593 data_time: 0.0096 memory: 743 2022/08/10 19:22:42 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:03:48 time: 0.0571 data_time: 0.0060 memory: 743 2022/08/10 19:22:43 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:03:42 time: 0.0559 data_time: 0.0073 memory: 743 2022/08/10 19:22:44 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:03:47 time: 0.0573 data_time: 0.0055 memory: 743 2022/08/10 19:22:46 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:03:44 time: 0.0569 data_time: 0.0070 memory: 743 2022/08/10 19:22:47 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:03:28 time: 0.0531 data_time: 0.0059 memory: 738 2022/08/10 19:22:48 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:05:12 time: 0.0801 data_time: 0.0059 memory: 738 2022/08/10 19:22:49 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:03:52 time: 0.0598 data_time: 0.0065 memory: 738 2022/08/10 19:22:50 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:03:34 time: 0.0555 data_time: 0.0064 memory: 738 2022/08/10 19:22:52 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:03:30 time: 0.0548 data_time: 0.0065 memory: 738 2022/08/10 19:22:53 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:04:30 time: 0.0708 data_time: 0.0108 memory: 809 2022/08/10 19:22:55 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:05:13 time: 0.0825 data_time: 0.0140 memory: 809 2022/08/10 19:22:56 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:05:03 time: 0.0803 data_time: 0.0180 memory: 809 2022/08/10 19:22:58 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:05:20 time: 0.0851 data_time: 0.0285 memory: 809 2022/08/10 19:23:00 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:06:13 time: 0.0998 data_time: 0.0163 memory: 809 2022/08/10 19:23:03 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:08:23 time: 0.1354 data_time: 0.0754 memory: 809 2022/08/10 19:23:06 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:09:16 time: 0.1504 data_time: 0.0915 memory: 809 2022/08/10 19:23:09 - mmengine - INFO - Epoch(val) [7][2600/6282] eta: 0:10:50 time: 0.1768 data_time: 0.1155 memory: 809 2022/08/10 19:23:12 - mmengine - INFO - Epoch(val) [7][2620/6282] eta: 0:07:59 time: 0.1308 data_time: 0.0672 memory: 809 2022/08/10 19:23:15 - mmengine - INFO - Epoch(val) [7][2640/6282] eta: 0:09:01 time: 0.1486 data_time: 0.0868 memory: 809 2022/08/10 19:23:17 - mmengine - INFO - Epoch(val) [7][2660/6282] eta: 0:05:11 time: 0.0860 data_time: 0.0130 memory: 902 2022/08/10 19:23:18 - mmengine - INFO - Epoch(val) [7][2680/6282] eta: 0:05:16 time: 0.0880 data_time: 0.0137 memory: 902 2022/08/10 19:23:20 - mmengine - INFO - Epoch(val) [7][2700/6282] eta: 0:04:52 time: 0.0817 data_time: 0.0080 memory: 902 2022/08/10 19:23:22 - mmengine - INFO - Epoch(val) [7][2720/6282] eta: 0:04:51 time: 0.0819 data_time: 0.0081 memory: 902 2022/08/10 19:23:23 - mmengine - INFO - Epoch(val) [7][2740/6282] eta: 0:04:33 time: 0.0773 data_time: 0.0075 memory: 902 2022/08/10 19:23:24 - mmengine - INFO - Epoch(val) [7][2760/6282] eta: 0:03:29 time: 0.0596 data_time: 0.0070 memory: 743 2022/08/10 19:23:26 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:03:34 time: 0.0614 data_time: 0.0092 memory: 743 2022/08/10 19:23:27 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:03:30 time: 0.0605 data_time: 0.0064 memory: 743 2022/08/10 19:23:28 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:03:18 time: 0.0574 data_time: 0.0069 memory: 743 2022/08/10 19:23:29 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:03:26 time: 0.0601 data_time: 0.0080 memory: 743 2022/08/10 19:23:31 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:04:05 time: 0.0718 data_time: 0.0110 memory: 809 2022/08/10 19:23:32 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:04:48 time: 0.0848 data_time: 0.0265 memory: 809 2022/08/10 19:23:34 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:05:29 time: 0.0975 data_time: 0.0359 memory: 809 2022/08/10 19:23:36 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:03:35 time: 0.0642 data_time: 0.0070 memory: 809 2022/08/10 19:23:37 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:03:33 time: 0.0637 data_time: 0.0084 memory: 773 2022/08/10 19:23:38 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:03:35 time: 0.0649 data_time: 0.0084 memory: 773 2022/08/10 19:23:39 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:03:26 time: 0.0625 data_time: 0.0082 memory: 773 2022/08/10 19:23:41 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:03:46 time: 0.0689 data_time: 0.0071 memory: 773 2022/08/10 19:23:42 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:03:48 time: 0.0699 data_time: 0.0071 memory: 809 2022/08/10 19:23:44 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:03:44 time: 0.0693 data_time: 0.0086 memory: 809 2022/08/10 19:23:45 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:03:36 time: 0.0671 data_time: 0.0068 memory: 809 2022/08/10 19:23:46 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:03:32 time: 0.0664 data_time: 0.0062 memory: 809 2022/08/10 19:23:47 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:03:14 time: 0.0611 data_time: 0.0068 memory: 809 2022/08/10 19:23:49 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:03:15 time: 0.0618 data_time: 0.0091 memory: 743 2022/08/10 19:23:50 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:03:13 time: 0.0617 data_time: 0.0096 memory: 743 2022/08/10 19:24:01 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:27:42 time: 0.5326 data_time: 0.3196 memory: 743 2022/08/10 19:24:04 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:09:50 time: 0.1902 data_time: 0.0882 memory: 743 2022/08/10 19:24:06 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:03:23 time: 0.0660 data_time: 0.0065 memory: 809 2022/08/10 19:24:08 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:04:48 time: 0.0944 data_time: 0.0325 memory: 809 2022/08/10 19:24:09 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:04:19 time: 0.0852 data_time: 0.0240 memory: 809 2022/08/10 19:24:11 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:04:42 time: 0.0934 data_time: 0.0309 memory: 809 2022/08/10 19:24:13 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:03:41 time: 0.0738 data_time: 0.0133 memory: 809 2022/08/10 19:24:14 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:03:25 time: 0.0689 data_time: 0.0077 memory: 809 2022/08/10 19:24:20 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:15:04 time: 0.3054 data_time: 0.2422 memory: 809 2022/08/10 19:24:22 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:03:21 time: 0.0686 data_time: 0.0066 memory: 809 2022/08/10 19:24:23 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:03:20 time: 0.0685 data_time: 0.0082 memory: 809 2022/08/10 19:24:25 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:05:05 time: 0.1053 data_time: 0.0089 memory: 809 2022/08/10 19:24:26 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:02:52 time: 0.0597 data_time: 0.0091 memory: 738 2022/08/10 19:24:27 - mmengine - INFO - Epoch(val) [7][3420/6282] eta: 0:02:49 time: 0.0591 data_time: 0.0061 memory: 738 2022/08/10 19:24:29 - mmengine - INFO - Epoch(val) [7][3440/6282] eta: 0:02:47 time: 0.0590 data_time: 0.0071 memory: 738 2022/08/10 19:24:30 - mmengine - INFO - Epoch(val) [7][3460/6282] eta: 0:02:51 time: 0.0607 data_time: 0.0087 memory: 738 2022/08/10 19:24:31 - mmengine - INFO - Epoch(val) [7][3480/6282] eta: 0:02:33 time: 0.0547 data_time: 0.0056 memory: 738 2022/08/10 19:24:32 - mmengine - INFO - Epoch(val) [7][3500/6282] eta: 0:02:41 time: 0.0581 data_time: 0.0068 memory: 738 2022/08/10 19:24:33 - mmengine - INFO - Epoch(val) [7][3520/6282] eta: 0:02:35 time: 0.0563 data_time: 0.0065 memory: 738 2022/08/10 19:24:35 - mmengine - INFO - Epoch(val) [7][3540/6282] eta: 0:03:14 time: 0.0709 data_time: 0.0204 memory: 738 2022/08/10 19:24:36 - mmengine - INFO - Epoch(val) [7][3560/6282] eta: 0:02:22 time: 0.0522 data_time: 0.0059 memory: 738 2022/08/10 19:24:37 - mmengine - INFO - Epoch(val) [7][3580/6282] eta: 0:02:32 time: 0.0564 data_time: 0.0070 memory: 789 2022/08/10 19:24:40 - mmengine - INFO - Epoch(val) [7][3600/6282] eta: 0:07:22 time: 0.1651 data_time: 0.1104 memory: 789 2022/08/10 19:24:41 - mmengine - INFO - Epoch(val) [7][3620/6282] eta: 0:02:47 time: 0.0629 data_time: 0.0078 memory: 789 2022/08/10 19:24:43 - mmengine - INFO - Epoch(val) [7][3640/6282] eta: 0:02:39 time: 0.0602 data_time: 0.0071 memory: 789 2022/08/10 19:24:44 - mmengine - INFO - Epoch(val) [7][3660/6282] eta: 0:02:42 time: 0.0619 data_time: 0.0089 memory: 789 2022/08/10 19:24:46 - mmengine - INFO - Epoch(val) [7][3680/6282] eta: 0:04:00 time: 0.0923 data_time: 0.0050 memory: 809 2022/08/10 19:24:47 - mmengine - INFO - Epoch(val) [7][3700/6282] eta: 0:03:19 time: 0.0774 data_time: 0.0122 memory: 809 2022/08/10 19:24:49 - mmengine - INFO - Epoch(val) [7][3720/6282] eta: 0:03:34 time: 0.0836 data_time: 0.0238 memory: 809 2022/08/10 19:24:55 - mmengine - INFO - Epoch(val) [7][3740/6282] eta: 0:12:09 time: 0.2868 data_time: 0.2251 memory: 809 2022/08/10 19:24:57 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:05:33 time: 0.1323 data_time: 0.0085 memory: 809 2022/08/10 19:24:59 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:03:22 time: 0.0809 data_time: 0.0188 memory: 809 2022/08/10 19:25:01 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:03:43 time: 0.0899 data_time: 0.0291 memory: 809 2022/08/10 19:25:03 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:04:05 time: 0.0997 data_time: 0.0377 memory: 809 2022/08/10 19:25:04 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:03:32 time: 0.0869 data_time: 0.0245 memory: 809 2022/08/10 19:25:06 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:03:39 time: 0.0904 data_time: 0.0312 memory: 809 2022/08/10 19:25:08 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:03:10 time: 0.0793 data_time: 0.0204 memory: 809 2022/08/10 19:25:09 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:03:06 time: 0.0782 data_time: 0.0187 memory: 809 2022/08/10 19:25:13 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:07:01 time: 0.1785 data_time: 0.1153 memory: 809 2022/08/10 19:25:15 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:03:33 time: 0.0911 data_time: 0.0314 memory: 809 2022/08/10 19:25:17 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:03:40 time: 0.0948 data_time: 0.0089 memory: 809 2022/08/10 19:25:18 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:02:35 time: 0.0674 data_time: 0.0078 memory: 809 2022/08/10 19:25:19 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:02:40 time: 0.0701 data_time: 0.0066 memory: 809 2022/08/10 19:25:21 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:02:39 time: 0.0706 data_time: 0.0086 memory: 809 2022/08/10 19:25:22 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:02:41 time: 0.0720 data_time: 0.0089 memory: 902 2022/08/10 19:25:24 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:03:10 time: 0.0858 data_time: 0.0103 memory: 902 2022/08/10 19:25:26 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:03:10 time: 0.0864 data_time: 0.0126 memory: 902 2022/08/10 19:25:28 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:04:04 time: 0.1120 data_time: 0.0071 memory: 902 2022/08/10 19:25:30 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:02:53 time: 0.0802 data_time: 0.0081 memory: 902 2022/08/10 19:25:31 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:02:28 time: 0.0692 data_time: 0.0064 memory: 902 2022/08/10 19:25:37 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:10:03 time: 0.2844 data_time: 0.2177 memory: 738 2022/08/10 19:25:38 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:02:07 time: 0.0606 data_time: 0.0097 memory: 738 2022/08/10 19:25:39 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:02:02 time: 0.0589 data_time: 0.0061 memory: 738 2022/08/10 19:25:40 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:01:55 time: 0.0562 data_time: 0.0077 memory: 738 2022/08/10 19:25:41 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:01:57 time: 0.0574 data_time: 0.0066 memory: 738 2022/08/10 19:25:43 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:01:59 time: 0.0593 data_time: 0.0062 memory: 736 2022/08/10 19:25:44 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:01:58 time: 0.0592 data_time: 0.0065 memory: 736 2022/08/10 19:25:45 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:01:59 time: 0.0604 data_time: 0.0101 memory: 736 2022/08/10 19:25:46 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:01:54 time: 0.0585 data_time: 0.0068 memory: 736 2022/08/10 19:25:47 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:01:55 time: 0.0597 data_time: 0.0074 memory: 736 2022/08/10 19:25:49 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:03:19 time: 0.1035 data_time: 0.0085 memory: 809 2022/08/10 19:25:51 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:02:06 time: 0.0663 data_time: 0.0067 memory: 809 2022/08/10 19:25:52 - mmengine - INFO - Epoch(val) [7][4400/6282] eta: 0:02:08 time: 0.0683 data_time: 0.0086 memory: 809 2022/08/10 19:25:57 - mmengine - INFO - Epoch(val) [7][4420/6282] eta: 0:07:58 time: 0.2571 data_time: 0.1791 memory: 809 2022/08/10 19:25:59 - mmengine - INFO - Epoch(val) [7][4440/6282] eta: 0:02:09 time: 0.0701 data_time: 0.0101 memory: 816 2022/08/10 19:26:00 - mmengine - INFO - Epoch(val) [7][4460/6282] eta: 0:02:03 time: 0.0677 data_time: 0.0069 memory: 816 2022/08/10 19:26:01 - mmengine - INFO - Epoch(val) [7][4480/6282] eta: 0:02:04 time: 0.0692 data_time: 0.0056 memory: 816 2022/08/10 19:26:03 - mmengine - INFO - Epoch(val) [7][4500/6282] eta: 0:02:07 time: 0.0714 data_time: 0.0093 memory: 816 2022/08/10 19:26:04 - mmengine - INFO - Epoch(val) [7][4520/6282] eta: 0:01:52 time: 0.0641 data_time: 0.0064 memory: 816 2022/08/10 19:26:05 - mmengine - INFO - Epoch(val) [7][4540/6282] eta: 0:01:43 time: 0.0592 data_time: 0.0060 memory: 743 2022/08/10 19:26:06 - mmengine - INFO - Epoch(val) [7][4560/6282] eta: 0:01:41 time: 0.0590 data_time: 0.0084 memory: 743 2022/08/10 19:26:09 - mmengine - INFO - Epoch(val) [7][4580/6282] eta: 0:03:26 time: 0.1212 data_time: 0.0086 memory: 743 2022/08/10 19:26:10 - mmengine - INFO - Epoch(val) [7][4600/6282] eta: 0:01:42 time: 0.0610 data_time: 0.0098 memory: 743 2022/08/10 19:26:11 - mmengine - INFO - Epoch(val) [7][4620/6282] eta: 0:01:40 time: 0.0602 data_time: 0.0081 memory: 743 2022/08/10 19:26:13 - mmengine - INFO - Epoch(val) [7][4640/6282] eta: 0:02:00 time: 0.0736 data_time: 0.0074 memory: 816 2022/08/10 19:26:14 - mmengine - INFO - Epoch(val) [7][4660/6282] eta: 0:01:53 time: 0.0702 data_time: 0.0068 memory: 816 2022/08/10 19:26:22 - mmengine - INFO - Epoch(val) [7][4680/6282] eta: 0:10:05 time: 0.3780 data_time: 0.3123 memory: 816 2022/08/10 19:26:23 - mmengine - INFO - Epoch(val) [7][4700/6282] eta: 0:01:54 time: 0.0725 data_time: 0.0110 memory: 816 2022/08/10 19:26:25 - mmengine - INFO - Epoch(val) [7][4720/6282] eta: 0:02:08 time: 0.0820 data_time: 0.0206 memory: 816 2022/08/10 19:26:26 - mmengine - INFO - Epoch(val) [7][4740/6282] eta: 0:01:35 time: 0.0621 data_time: 0.0096 memory: 768 2022/08/10 19:26:27 - mmengine - INFO - Epoch(val) [7][4760/6282] eta: 0:01:30 time: 0.0596 data_time: 0.0057 memory: 768 2022/08/10 19:26:29 - mmengine - INFO - Epoch(val) [7][4780/6282] eta: 0:01:36 time: 0.0642 data_time: 0.0087 memory: 768 2022/08/10 19:26:30 - mmengine - INFO - Epoch(val) [7][4800/6282] eta: 0:02:10 time: 0.0879 data_time: 0.0073 memory: 768 2022/08/10 19:26:32 - mmengine - INFO - Epoch(val) [7][4820/6282] eta: 0:01:39 time: 0.0683 data_time: 0.0084 memory: 809 2022/08/10 19:26:33 - mmengine - INFO - Epoch(val) [7][4840/6282] eta: 0:01:41 time: 0.0701 data_time: 0.0084 memory: 809 2022/08/10 19:26:35 - mmengine - INFO - Epoch(val) [7][4860/6282] eta: 0:01:42 time: 0.0724 data_time: 0.0099 memory: 809 2022/08/10 19:26:41 - mmengine - INFO - Epoch(val) [7][4880/6282] eta: 0:07:26 time: 0.3182 data_time: 0.2546 memory: 809 2022/08/10 19:26:42 - mmengine - INFO - Epoch(val) [7][4900/6282] eta: 0:01:35 time: 0.0688 data_time: 0.0080 memory: 809 2022/08/10 19:26:44 - mmengine - INFO - Epoch(val) [7][4920/6282] eta: 0:01:37 time: 0.0719 data_time: 0.0087 memory: 811 2022/08/10 19:26:45 - mmengine - INFO - Epoch(val) [7][4940/6282] eta: 0:01:30 time: 0.0676 data_time: 0.0067 memory: 811 2022/08/10 19:26:47 - 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mmengine - INFO - Epoch(val) [7][5320/6282] eta: 0:01:00 time: 0.0625 data_time: 0.0108 memory: 738 2022/08/10 19:27:26 - mmengine - INFO - Epoch(val) [7][5340/6282] eta: 0:00:57 time: 0.0613 data_time: 0.0102 memory: 738 2022/08/10 19:27:28 - mmengine - INFO - Epoch(val) [7][5360/6282] eta: 0:01:20 time: 0.0868 data_time: 0.0352 memory: 738 2022/08/10 19:27:29 - mmengine - INFO - Epoch(val) [7][5380/6282] eta: 0:00:51 time: 0.0573 data_time: 0.0067 memory: 738 2022/08/10 19:27:30 - mmengine - INFO - Epoch(val) [7][5400/6282] eta: 0:00:49 time: 0.0559 data_time: 0.0077 memory: 738 2022/08/10 19:27:32 - mmengine - INFO - Epoch(val) [7][5420/6282] eta: 0:01:13 time: 0.0848 data_time: 0.0074 memory: 738 2022/08/10 19:27:33 - mmengine - INFO - Epoch(val) [7][5440/6282] eta: 0:00:56 time: 0.0676 data_time: 0.0156 memory: 738 2022/08/10 19:27:34 - mmengine - INFO - Epoch(val) [7][5460/6282] eta: 0:00:48 time: 0.0590 data_time: 0.0062 memory: 738 2022/08/10 19:27:36 - mmengine - INFO - Epoch(val) [7][5480/6282] eta: 0:00:48 time: 0.0600 data_time: 0.0081 memory: 738 2022/08/10 19:27:37 - 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mmengine - INFO - Epoch(val) [7][5680/6282] eta: 0:00:34 time: 0.0566 data_time: 0.0054 memory: 738 2022/08/10 19:27:50 - mmengine - INFO - Epoch(val) [7][5700/6282] eta: 0:00:30 time: 0.0525 data_time: 0.0049 memory: 738 2022/08/10 19:27:52 - mmengine - INFO - Epoch(val) [7][5720/6282] eta: 0:00:51 time: 0.0918 data_time: 0.0054 memory: 780 2022/08/10 19:27:53 - mmengine - INFO - Epoch(val) [7][5740/6282] eta: 0:00:31 time: 0.0572 data_time: 0.0062 memory: 780 2022/08/10 19:27:55 - mmengine - INFO - Epoch(val) [7][5760/6282] eta: 0:00:29 time: 0.0569 data_time: 0.0067 memory: 780 2022/08/10 19:27:56 - mmengine - INFO - Epoch(val) [7][5780/6282] eta: 0:00:29 time: 0.0592 data_time: 0.0062 memory: 780 2022/08/10 19:27:57 - mmengine - INFO - Epoch(val) [7][5800/6282] eta: 0:00:27 time: 0.0561 data_time: 0.0049 memory: 780 2022/08/10 19:27:58 - mmengine - INFO - Epoch(val) [7][5820/6282] eta: 0:00:25 time: 0.0562 data_time: 0.0058 memory: 780 2022/08/10 19:27:59 - mmengine - INFO - Epoch(val) [7][5840/6282] eta: 0:00:24 time: 0.0561 data_time: 0.0061 memory: 763 2022/08/10 19:28:00 - mmengine - INFO - Epoch(val) [7][5860/6282] eta: 0:00:22 time: 0.0528 data_time: 0.0048 memory: 763 2022/08/10 19:28:04 - mmengine - INFO - Epoch(val) [7][5880/6282] eta: 0:01:18 time: 0.1961 data_time: 0.1470 memory: 763 2022/08/10 19:28:05 - mmengine - INFO - Epoch(val) [7][5900/6282] eta: 0:00:22 time: 0.0597 data_time: 0.0100 memory: 763 2022/08/10 19:28:06 - mmengine - INFO - Epoch(val) [7][5920/6282] eta: 0:00:20 time: 0.0572 data_time: 0.0097 memory: 763 2022/08/10 19:28:07 - mmengine - INFO - Epoch(val) [7][5940/6282] eta: 0:00:17 time: 0.0517 data_time: 0.0049 memory: 738 2022/08/10 19:28:08 - mmengine - INFO - Epoch(val) [7][5960/6282] eta: 0:00:16 time: 0.0521 data_time: 0.0053 memory: 738 2022/08/10 19:28:10 - mmengine - INFO - Epoch(val) [7][5980/6282] eta: 0:00:16 time: 0.0533 data_time: 0.0056 memory: 738 2022/08/10 19:28:11 - mmengine - INFO - Epoch(val) [7][6000/6282] eta: 0:00:16 time: 0.0586 data_time: 0.0046 memory: 809 2022/08/10 19:28:13 - mmengine - INFO - Epoch(val) [7][6020/6282] eta: 0:00:23 time: 0.0904 data_time: 0.0040 memory: 809 2022/08/10 19:28:14 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:13 time: 0.0572 data_time: 0.0040 memory: 809 2022/08/10 19:28:15 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:12 time: 0.0582 data_time: 0.0041 memory: 809 2022/08/10 19:28:16 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:11 time: 0.0561 data_time: 0.0048 memory: 809 2022/08/10 19:28:17 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:10 time: 0.0558 data_time: 0.0043 memory: 809 2022/08/10 19:28:18 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:08 time: 0.0549 data_time: 0.0035 memory: 809 2022/08/10 19:28:19 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:08 time: 0.0607 data_time: 0.0093 memory: 809 2022/08/10 19:28:21 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:09 time: 0.0744 data_time: 0.0229 memory: 809 2022/08/10 19:28:25 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:20 time: 0.2035 data_time: 0.1149 memory: 809 2022/08/10 19:28:26 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:04 time: 0.0548 data_time: 0.0036 memory: 809 2022/08/10 19:28:27 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:03 time: 0.0545 data_time: 0.0037 memory: 809 2022/08/10 19:28:28 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:02 time: 0.0543 data_time: 0.0036 memory: 809 2022/08/10 19:28:29 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:01 time: 0.0546 data_time: 0.0036 memory: 809 2022/08/10 19:28:30 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0545 data_time: 0.0037 memory: 809 2022/08/10 19:34:58 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.2595 2022/08/10 19:34:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2022/08/10 19:35:08 - mmengine - INFO - The best checkpoint with 0.2595 mAP/mAP@0.5IOU at 8 epoch is saved to best_mAP/mAP@0.5IOU_epoch_8.pth. 2022/08/10 19:35:19 - mmengine - INFO - Epoch(train) [8][20/3842] lr: 2.3082e-02 eta: 1:43:26 time: 0.5574 data_time: 0.0732 memory: 10484 grad_norm: 0.1827 recall@thr=0.5: 0.8636 prec@thr=0.5: 0.7424 recall@top3: 0.8939 prec@top3: 0.6364 recall@top5: 0.9697 prec@top5: 0.4182 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 19:35:39 - mmengine - INFO - Epoch(train) [8][40/3842] lr: 2.3011e-02 eta: 1:43:18 time: 0.9677 data_time: 0.0503 memory: 10484 grad_norm: 0.1900 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.7315 recall@top3: 0.7593 prec@top3: 0.6667 recall@top5: 0.9259 prec@top5: 0.5000 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 19:35:56 - mmengine - INFO - Epoch(train) [8][60/3842] lr: 2.2941e-02 eta: 1:43:10 time: 0.8710 data_time: 0.0585 memory: 10484 grad_norm: 0.1882 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7500 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.9250 prec@top5: 0.4400 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 19:36:13 - mmengine - INFO - Epoch(train) [8][80/3842] lr: 2.2870e-02 eta: 1:43:02 time: 0.8346 data_time: 0.0552 memory: 10484 grad_norm: 0.1873 recall@thr=0.5: 0.9635 prec@thr=0.5: 0.9583 recall@top3: 0.9531 prec@top3: 0.8750 recall@top5: 1.0000 prec@top5: 0.5625 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 19:36:24 - mmengine - INFO - Epoch(train) [8][100/3842] lr: 2.2800e-02 eta: 1:42:51 time: 0.5458 data_time: 0.0331 memory: 10484 grad_norm: 0.1840 recall@thr=0.5: 0.7739 prec@thr=0.5: 0.8913 recall@top3: 0.7232 prec@top3: 0.8406 recall@top5: 0.9181 prec@top5: 0.6609 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 19:36:28 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 19:36:35 - mmengine - INFO - Epoch(train) [8][120/3842] lr: 2.2729e-02 eta: 1:42:41 time: 0.5589 data_time: 0.0635 memory: 10484 grad_norm: 0.1909 recall@thr=0.5: 0.5300 prec@thr=0.5: 0.6400 recall@top3: 0.5933 prec@top3: 0.5333 recall@top5: 0.8767 prec@top5: 0.4320 loss_action_cls: 0.0414 loss: 0.0414 2022/08/10 19:36:47 - mmengine - INFO - Epoch(train) [8][140/3842] lr: 2.2659e-02 eta: 1:42:30 time: 0.5730 data_time: 0.0352 memory: 10484 grad_norm: 0.1886 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.9265 recall@top3: 0.8529 prec@top3: 0.7843 recall@top5: 0.9265 prec@top5: 0.5294 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:36:57 - mmengine - INFO - Epoch(train) [8][160/3842] lr: 2.2588e-02 eta: 1:42:19 time: 0.5401 data_time: 0.0330 memory: 10484 grad_norm: 0.1937 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8100 recall@top3: 0.8667 prec@top3: 0.6667 recall@top5: 0.9000 prec@top5: 0.4200 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 19:37:08 - mmengine - INFO - Epoch(train) [8][180/3842] lr: 2.2518e-02 eta: 1:42:09 time: 0.5416 data_time: 0.0224 memory: 10484 grad_norm: 0.1821 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.5513 recall@top3: 0.7436 prec@top3: 0.6923 recall@top5: 0.9231 prec@top5: 0.4923 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 19:37:20 - mmengine - INFO - Epoch(train) [8][200/3842] lr: 2.2448e-02 eta: 1:41:58 time: 0.5784 data_time: 0.0539 memory: 10484 grad_norm: 0.1903 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.8750 recall@top3: 0.8542 prec@top3: 0.8333 recall@top5: 0.9271 prec@top5: 0.5500 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 19:37:30 - mmengine - INFO - Epoch(train) [8][220/3842] lr: 2.2378e-02 eta: 1:41:47 time: 0.5297 data_time: 0.0352 memory: 10484 grad_norm: 0.1886 recall@thr=0.5: 0.8136 prec@thr=0.5: 0.9545 recall@top3: 0.8318 prec@top3: 0.7576 recall@top5: 0.9818 prec@top5: 0.5636 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 19:37:41 - mmengine - INFO - Epoch(train) [8][240/3842] lr: 2.2307e-02 eta: 1:41:36 time: 0.5376 data_time: 0.0300 memory: 10484 grad_norm: 0.1889 recall@thr=0.5: 0.8073 prec@thr=0.5: 0.8594 recall@top3: 0.8281 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5875 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 19:37:51 - mmengine - INFO - Epoch(train) [8][260/3842] lr: 2.2237e-02 eta: 1:41:25 time: 0.5051 data_time: 0.0220 memory: 10484 grad_norm: 0.1844 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.7206 recall@top3: 0.9216 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 19:38:02 - mmengine - INFO - Epoch(train) [8][280/3842] lr: 2.2167e-02 eta: 1:41:15 time: 0.5371 data_time: 0.0271 memory: 10484 grad_norm: 0.1952 recall@thr=0.5: 0.7978 prec@thr=0.5: 0.9384 recall@top3: 0.8130 prec@top3: 0.8406 recall@top5: 0.9536 prec@top5: 0.6174 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 19:38:13 - mmengine - INFO - Epoch(train) [8][300/3842] lr: 2.2097e-02 eta: 1:41:04 time: 0.5610 data_time: 0.0333 memory: 10484 grad_norm: 0.1870 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.6250 recall@top3: 0.6817 prec@top3: 0.5333 recall@top5: 0.8258 prec@top5: 0.4100 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 19:38:24 - mmengine - INFO - Epoch(train) [8][320/3842] lr: 2.2028e-02 eta: 1:40:53 time: 0.5529 data_time: 0.0345 memory: 10484 grad_norm: 0.1930 recall@thr=0.5: 0.5735 prec@thr=0.5: 0.6961 recall@top3: 0.6520 prec@top3: 0.5294 recall@top5: 0.8922 prec@top5: 0.4588 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 19:38:35 - mmengine - INFO - Epoch(train) [8][340/3842] lr: 2.1958e-02 eta: 1:40:43 time: 0.5625 data_time: 0.0587 memory: 10484 grad_norm: 0.2021 recall@thr=0.5: 0.7722 prec@thr=0.5: 0.8000 recall@top3: 0.8833 prec@top3: 0.6222 recall@top5: 0.9667 prec@top5: 0.4133 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 19:38:46 - mmengine - INFO - Epoch(train) [8][360/3842] lr: 2.1888e-02 eta: 1:40:32 time: 0.5315 data_time: 0.0174 memory: 10484 grad_norm: 0.1921 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8667 recall@top3: 0.9333 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 19:38:56 - mmengine - INFO - Epoch(train) [8][380/3842] lr: 2.1818e-02 eta: 1:40:21 time: 0.5165 data_time: 0.0198 memory: 10484 grad_norm: 0.1819 recall@thr=0.5: 0.7048 prec@thr=0.5: 0.8254 recall@top3: 0.7508 prec@top3: 0.7937 recall@top5: 0.8754 prec@top5: 0.5619 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 19:39:07 - mmengine - INFO - Epoch(train) [8][400/3842] lr: 2.1749e-02 eta: 1:40:10 time: 0.5073 data_time: 0.0171 memory: 10484 grad_norm: 0.1916 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.6875 recall@top3: 0.8438 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.4750 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 19:39:17 - mmengine - INFO - Epoch(train) [8][420/3842] lr: 2.1679e-02 eta: 1:39:59 time: 0.5057 data_time: 0.0170 memory: 10484 grad_norm: 0.1954 recall@thr=0.5: 0.8300 prec@thr=0.5: 0.8933 recall@top3: 0.8200 prec@top3: 0.6267 recall@top5: 0.9067 prec@top5: 0.4320 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 19:39:28 - mmengine - INFO - Epoch(train) [8][440/3842] lr: 2.1610e-02 eta: 1:39:48 time: 0.5523 data_time: 0.0192 memory: 10484 grad_norm: 0.1929 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.7045 recall@top3: 0.7879 prec@top3: 0.6061 recall@top5: 0.8939 prec@top5: 0.4182 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 19:39:38 - mmengine - INFO - Epoch(train) [8][460/3842] lr: 2.1540e-02 eta: 1:39:37 time: 0.5024 data_time: 0.0169 memory: 10484 grad_norm: 0.1904 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6548 recall@top3: 0.7917 prec@top3: 0.5238 recall@top5: 0.9167 prec@top5: 0.3857 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 19:39:48 - mmengine - INFO - Epoch(train) [8][480/3842] lr: 2.1471e-02 eta: 1:39:26 time: 0.5265 data_time: 0.0173 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8000 recall@top3: 0.9056 prec@top3: 0.6889 recall@top5: 0.9611 prec@top5: 0.4533 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 19:39:58 - mmengine - INFO - Epoch(train) [8][500/3842] lr: 2.1402e-02 eta: 1:39:15 time: 0.4992 data_time: 0.0162 memory: 10484 grad_norm: 0.1936 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8778 recall@top3: 0.8556 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 19:40:09 - mmengine - INFO - Epoch(train) [8][520/3842] lr: 2.1333e-02 eta: 1:39:04 time: 0.5267 data_time: 0.0153 memory: 10484 grad_norm: 0.1896 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8529 recall@top3: 0.9314 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 19:40:19 - mmengine - INFO - Epoch(train) [8][540/3842] lr: 2.1263e-02 eta: 1:38:53 time: 0.5237 data_time: 0.0175 memory: 10484 grad_norm: 0.1852 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.9649 recall@top3: 0.8289 prec@top3: 0.8947 recall@top5: 0.9605 prec@top5: 0.6421 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:40:30 - mmengine - INFO - Epoch(train) [8][560/3842] lr: 2.1194e-02 eta: 1:38:42 time: 0.5278 data_time: 0.0173 memory: 10484 grad_norm: 0.2034 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7719 recall@top3: 0.8596 prec@top3: 0.5614 recall@top5: 0.9649 prec@top5: 0.3789 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 19:40:40 - mmengine - INFO - Epoch(train) [8][580/3842] lr: 2.1125e-02 eta: 1:38:31 time: 0.5037 data_time: 0.0178 memory: 10484 grad_norm: 0.1941 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.6961 recall@top3: 0.8775 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 19:40:50 - mmengine - INFO - Epoch(train) [8][600/3842] lr: 2.1056e-02 eta: 1:38:20 time: 0.5252 data_time: 0.0166 memory: 10484 grad_norm: 0.1874 recall@thr=0.5: 0.4121 prec@thr=0.5: 0.6818 recall@top3: 0.6091 prec@top3: 0.5758 recall@top5: 0.6455 prec@top5: 0.3818 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 19:41:01 - mmengine - INFO - Epoch(train) [8][620/3842] lr: 2.0988e-02 eta: 1:38:09 time: 0.5250 data_time: 0.0173 memory: 10484 grad_norm: 0.1939 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.6905 recall@top3: 0.9048 prec@top3: 0.5476 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 19:41:11 - mmengine - INFO - Epoch(train) [8][640/3842] lr: 2.0919e-02 eta: 1:37:58 time: 0.5281 data_time: 0.0181 memory: 10484 grad_norm: 0.1991 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8287 recall@top3: 0.8333 prec@top3: 0.7778 recall@top5: 0.9722 prec@top5: 0.5444 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 19:41:22 - mmengine - INFO - Epoch(train) [8][660/3842] lr: 2.0850e-02 eta: 1:37:47 time: 0.5299 data_time: 0.0190 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.9342 recall@top3: 0.8509 prec@top3: 0.8947 recall@top5: 0.9868 prec@top5: 0.6421 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 19:41:33 - mmengine - INFO - Epoch(train) [8][680/3842] lr: 2.0781e-02 eta: 1:37:36 time: 0.5487 data_time: 0.0165 memory: 10484 grad_norm: 0.1894 recall@thr=0.5: 0.6205 prec@thr=0.5: 0.7121 recall@top3: 0.8000 prec@top3: 0.6970 recall@top5: 0.9394 prec@top5: 0.5000 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 19:41:44 - mmengine - INFO - Epoch(train) [8][700/3842] lr: 2.0713e-02 eta: 1:37:26 time: 0.5261 data_time: 0.0171 memory: 10484 grad_norm: 0.1946 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7500 recall@top3: 0.7556 prec@top3: 0.6852 recall@top5: 0.9333 prec@top5: 0.5222 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 19:41:54 - mmengine - INFO - Epoch(train) [8][720/3842] lr: 2.0644e-02 eta: 1:37:15 time: 0.5298 data_time: 0.0177 memory: 10484 grad_norm: 0.1889 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.6667 recall@top3: 0.8810 prec@top3: 0.6032 recall@top5: 0.9524 prec@top5: 0.4095 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 19:42:05 - mmengine - INFO - Epoch(train) [8][740/3842] lr: 2.0576e-02 eta: 1:37:04 time: 0.5255 data_time: 0.0166 memory: 10484 grad_norm: 0.1930 recall@thr=0.5: 0.8300 prec@thr=0.5: 0.7927 recall@top3: 0.8267 prec@top3: 0.8133 recall@top5: 0.9733 prec@top5: 0.5920 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 19:42:15 - mmengine - INFO - Epoch(train) [8][760/3842] lr: 2.0507e-02 eta: 1:36:53 time: 0.4992 data_time: 0.0182 memory: 10484 grad_norm: 0.1907 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6905 recall@top3: 0.7762 prec@top3: 0.5952 recall@top5: 0.9762 prec@top5: 0.5000 loss_action_cls: 0.0356 loss: 0.0356 2022/08/10 19:42:25 - mmengine - INFO - Epoch(train) [8][780/3842] lr: 2.0439e-02 eta: 1:36:42 time: 0.5168 data_time: 0.0162 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7222 recall@top3: 0.7778 prec@top3: 0.6852 recall@top5: 0.9074 prec@top5: 0.5000 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 19:42:35 - mmengine - INFO - Epoch(train) [8][800/3842] lr: 2.0371e-02 eta: 1:36:31 time: 0.5206 data_time: 0.0189 memory: 10484 grad_norm: 0.1963 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8158 recall@top3: 0.7456 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.5053 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:42:49 - mmengine - INFO - Epoch(train) [8][820/3842] lr: 2.0303e-02 eta: 1:36:21 time: 0.6558 data_time: 0.0198 memory: 10484 grad_norm: 0.1955 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8431 recall@top3: 0.8627 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4588 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 19:42:59 - mmengine - INFO - Epoch(train) [8][840/3842] lr: 2.0235e-02 eta: 1:36:10 time: 0.5279 data_time: 0.0192 memory: 10484 grad_norm: 0.1884 recall@thr=0.5: 0.7676 prec@thr=0.5: 0.9412 recall@top3: 0.8304 prec@top3: 0.8235 recall@top5: 0.9412 prec@top5: 0.5882 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:43:09 - mmengine - INFO - Epoch(train) [8][860/3842] lr: 2.0167e-02 eta: 1:35:59 time: 0.5003 data_time: 0.0171 memory: 10484 grad_norm: 0.1961 recall@thr=0.5: 0.5156 prec@thr=0.5: 0.5312 recall@top3: 0.6771 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 19:43:20 - mmengine - INFO - Epoch(train) [8][880/3842] lr: 2.0099e-02 eta: 1:35:48 time: 0.5260 data_time: 0.0137 memory: 10484 grad_norm: 0.1942 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.7500 recall@top3: 0.6750 prec@top3: 0.5333 recall@top5: 0.8708 prec@top5: 0.4400 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 19:43:30 - mmengine - INFO - Epoch(train) [8][900/3842] lr: 2.0031e-02 eta: 1:35:37 time: 0.5265 data_time: 0.0154 memory: 10484 grad_norm: 0.1979 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8158 recall@top3: 0.8158 prec@top3: 0.7544 recall@top5: 0.8684 prec@top5: 0.4842 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 19:43:41 - mmengine - INFO - Epoch(train) [8][920/3842] lr: 1.9963e-02 eta: 1:35:26 time: 0.5220 data_time: 0.0179 memory: 10484 grad_norm: 0.1943 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.7949 recall@top3: 0.8205 prec@top3: 0.7179 recall@top5: 0.9615 prec@top5: 0.5077 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 19:43:52 - mmengine - INFO - Epoch(train) [8][940/3842] lr: 1.9895e-02 eta: 1:35:15 time: 0.5533 data_time: 0.0176 memory: 10484 grad_norm: 0.1868 recall@thr=0.5: 0.8800 prec@thr=0.5: 0.8000 recall@top3: 0.8600 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 19:44:02 - mmengine - INFO - Epoch(train) [8][960/3842] lr: 1.9828e-02 eta: 1:35:05 time: 0.5297 data_time: 0.0170 memory: 10484 grad_norm: 0.1879 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.6970 recall@top3: 0.7879 prec@top3: 0.4848 recall@top5: 0.8485 prec@top5: 0.3273 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 19:44:13 - mmengine - INFO - Epoch(train) [8][980/3842] lr: 1.9760e-02 eta: 1:34:54 time: 0.5273 data_time: 0.0206 memory: 10484 grad_norm: 0.2011 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.7632 recall@top3: 0.8246 prec@top3: 0.7018 recall@top5: 0.8947 prec@top5: 0.4632 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 19:44:23 - mmengine - INFO - Epoch(train) [8][1000/3842] lr: 1.9693e-02 eta: 1:34:43 time: 0.5278 data_time: 0.0168 memory: 10484 grad_norm: 0.1943 recall@thr=0.5: 0.6967 prec@thr=0.5: 0.9167 recall@top3: 0.7633 prec@top3: 0.7333 recall@top5: 0.9100 prec@top5: 0.5600 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 19:44:34 - mmengine - INFO - Epoch(train) [8][1020/3842] lr: 1.9625e-02 eta: 1:34:32 time: 0.5410 data_time: 0.0179 memory: 10484 grad_norm: 0.1920 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6510 recall@top3: 0.6979 prec@top3: 0.5000 recall@top5: 0.8333 prec@top5: 0.3750 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 19:44:44 - mmengine - INFO - Epoch(train) [8][1040/3842] lr: 1.9558e-02 eta: 1:34:21 time: 0.5029 data_time: 0.0183 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8056 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 19:44:55 - mmengine - INFO - Epoch(train) [8][1060/3842] lr: 1.9491e-02 eta: 1:34:10 time: 0.5439 data_time: 0.0169 memory: 10484 grad_norm: 0.1956 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7444 recall@top3: 0.8222 prec@top3: 0.6667 recall@top5: 0.9833 prec@top5: 0.4800 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 19:45:06 - mmengine - INFO - Epoch(train) [8][1080/3842] lr: 1.9423e-02 eta: 1:33:59 time: 0.5375 data_time: 0.0267 memory: 10484 grad_norm: 0.1899 recall@thr=0.5: 0.9275 prec@thr=0.5: 0.8841 recall@top3: 0.9203 prec@top3: 0.8696 recall@top5: 0.9710 prec@top5: 0.5565 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 19:45:16 - mmengine - INFO - Epoch(train) [8][1100/3842] lr: 1.9356e-02 eta: 1:33:48 time: 0.5296 data_time: 0.0151 memory: 10484 grad_norm: 0.1931 recall@thr=0.5: 0.7676 prec@thr=0.5: 0.7500 recall@top3: 0.7657 prec@top3: 0.6852 recall@top5: 0.9407 prec@top5: 0.5222 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 19:45:20 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 19:45:27 - mmengine - INFO - Epoch(train) [8][1120/3842] lr: 1.9289e-02 eta: 1:33:38 time: 0.5381 data_time: 0.0172 memory: 10484 grad_norm: 0.1893 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9514 recall@top3: 0.8611 prec@top3: 0.9167 recall@top5: 0.9896 prec@top5: 0.6500 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 19:45:37 - mmengine - INFO - Epoch(train) [8][1140/3842] lr: 1.9222e-02 eta: 1:33:27 time: 0.5024 data_time: 0.0157 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.8686 prec@thr=0.5: 0.9412 recall@top3: 0.8539 prec@top3: 0.7843 recall@top5: 0.9882 prec@top5: 0.5647 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 19:45:48 - mmengine - INFO - Epoch(train) [8][1160/3842] lr: 1.9155e-02 eta: 1:33:16 time: 0.5210 data_time: 0.0181 memory: 10484 grad_norm: 0.1887 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.7269 recall@top3: 0.7564 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4923 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 19:45:58 - mmengine - INFO - Epoch(train) [8][1180/3842] lr: 1.9088e-02 eta: 1:33:05 time: 0.5347 data_time: 0.0437 memory: 10484 grad_norm: 0.1930 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.8030 recall@top3: 0.6970 prec@top3: 0.7576 recall@top5: 0.9091 prec@top5: 0.6273 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 19:46:08 - mmengine - INFO - Epoch(train) [8][1200/3842] lr: 1.9022e-02 eta: 1:32:54 time: 0.4995 data_time: 0.0163 memory: 10484 grad_norm: 0.1970 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9333 recall@top3: 0.8667 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5467 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 19:46:19 - mmengine - INFO - Epoch(train) [8][1220/3842] lr: 1.8955e-02 eta: 1:32:43 time: 0.5268 data_time: 0.0144 memory: 10484 grad_norm: 0.1870 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.8623 recall@top3: 0.7971 prec@top3: 0.6957 recall@top5: 0.9239 prec@top5: 0.5043 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 19:46:30 - mmengine - INFO - Epoch(train) [8][1240/3842] lr: 1.8888e-02 eta: 1:32:32 time: 0.5620 data_time: 0.0170 memory: 10484 grad_norm: 0.1878 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.9405 recall@top3: 0.9405 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:46:42 - mmengine - INFO - Epoch(train) [8][1260/3842] lr: 1.8822e-02 eta: 1:32:22 time: 0.5795 data_time: 0.0165 memory: 10484 grad_norm: 0.1864 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.9118 recall@top3: 0.8431 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5765 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 19:46:52 - mmengine - INFO - Epoch(train) [8][1280/3842] lr: 1.8756e-02 eta: 1:32:11 time: 0.5352 data_time: 0.0161 memory: 10484 grad_norm: 0.1917 recall@thr=0.5: 0.6607 prec@thr=0.5: 0.6905 recall@top3: 0.7679 prec@top3: 0.7381 recall@top5: 0.9583 prec@top5: 0.5571 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 19:47:03 - mmengine - INFO - Epoch(train) [8][1300/3842] lr: 1.8689e-02 eta: 1:32:00 time: 0.5266 data_time: 0.0177 memory: 10484 grad_norm: 0.1945 recall@thr=0.5: 0.7904 prec@thr=0.5: 0.8579 recall@top3: 0.7605 prec@top3: 0.8421 recall@top5: 0.9658 prec@top5: 0.6632 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 19:47:13 - mmengine - INFO - Epoch(train) [8][1320/3842] lr: 1.8623e-02 eta: 1:31:49 time: 0.5198 data_time: 0.0187 memory: 10484 grad_norm: 0.1973 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.7111 recall@top3: 0.7944 prec@top3: 0.6000 recall@top5: 0.9056 prec@top5: 0.4267 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 19:47:25 - mmengine - INFO - Epoch(train) [8][1340/3842] lr: 1.8557e-02 eta: 1:31:38 time: 0.5611 data_time: 0.0541 memory: 10484 grad_norm: 0.1836 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.7941 recall@top3: 0.8627 prec@top3: 0.5882 recall@top5: 0.8824 prec@top5: 0.3647 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 19:47:35 - mmengine - INFO - Epoch(train) [8][1360/3842] lr: 1.8491e-02 eta: 1:31:27 time: 0.5044 data_time: 0.0175 memory: 10484 grad_norm: 0.1965 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8333 recall@top3: 0.8287 prec@top3: 0.6852 recall@top5: 0.9259 prec@top5: 0.4556 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 19:47:45 - mmengine - INFO - Epoch(train) [8][1380/3842] lr: 1.8425e-02 eta: 1:31:16 time: 0.5221 data_time: 0.0165 memory: 10484 grad_norm: 0.2002 recall@thr=0.5: 0.6546 prec@thr=0.5: 0.7222 recall@top3: 0.6148 prec@top3: 0.7037 recall@top5: 0.8898 prec@top5: 0.6000 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 19:47:58 - mmengine - INFO - Epoch(train) [8][1400/3842] lr: 1.8359e-02 eta: 1:31:06 time: 0.6567 data_time: 0.0171 memory: 10484 grad_norm: 0.1921 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7421 recall@top3: 0.7302 prec@top3: 0.7143 recall@top5: 0.9841 prec@top5: 0.5524 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 19:48:09 - mmengine - INFO - Epoch(train) [8][1420/3842] lr: 1.8293e-02 eta: 1:30:55 time: 0.5142 data_time: 0.0184 memory: 10484 grad_norm: 0.1825 recall@thr=0.5: 0.7648 prec@thr=0.5: 0.8241 recall@top3: 0.8537 prec@top3: 0.6667 recall@top5: 0.9222 prec@top5: 0.4444 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 19:48:19 - mmengine - INFO - Epoch(train) [8][1440/3842] lr: 1.8227e-02 eta: 1:30:45 time: 0.5314 data_time: 0.0171 memory: 10484 grad_norm: 0.1917 recall@thr=0.5: 0.6575 prec@thr=0.5: 0.8083 recall@top3: 0.7383 prec@top3: 0.7667 recall@top5: 0.9525 prec@top5: 0.6000 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 19:48:30 - mmengine - INFO - Epoch(train) [8][1460/3842] lr: 1.8161e-02 eta: 1:30:34 time: 0.5284 data_time: 0.0165 memory: 10484 grad_norm: 0.1980 recall@thr=0.5: 0.8296 prec@thr=0.5: 0.7407 recall@top3: 0.8352 prec@top3: 0.5926 recall@top5: 0.8796 prec@top5: 0.4000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 19:48:40 - mmengine - INFO - Epoch(train) [8][1480/3842] lr: 1.8096e-02 eta: 1:30:23 time: 0.5322 data_time: 0.0162 memory: 10484 grad_norm: 0.1953 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6548 recall@top3: 0.7619 prec@top3: 0.5476 recall@top5: 0.7857 prec@top5: 0.3429 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 19:48:51 - mmengine - INFO - Epoch(train) [8][1500/3842] lr: 1.8030e-02 eta: 1:30:12 time: 0.5232 data_time: 0.0171 memory: 10484 grad_norm: 0.1889 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.9487 recall@top3: 0.9359 prec@top3: 0.6667 recall@top5: 0.9359 prec@top5: 0.4000 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 19:49:01 - mmengine - INFO - Epoch(train) [8][1520/3842] lr: 1.7965e-02 eta: 1:30:01 time: 0.5188 data_time: 0.0160 memory: 10484 grad_norm: 0.1913 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7451 recall@top3: 0.8824 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.4118 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 19:49:11 - mmengine - INFO - Epoch(train) [8][1540/3842] lr: 1.7899e-02 eta: 1:29:50 time: 0.4992 data_time: 0.0173 memory: 10484 grad_norm: 0.1933 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7955 recall@top3: 0.8788 prec@top3: 0.8485 recall@top5: 0.9848 prec@top5: 0.5818 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 19:49:22 - mmengine - INFO - Epoch(train) [8][1560/3842] lr: 1.7834e-02 eta: 1:29:39 time: 0.5215 data_time: 0.0142 memory: 10484 grad_norm: 0.1938 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9417 recall@top3: 0.9017 prec@top3: 0.8667 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 19:49:34 - mmengine - INFO - Epoch(train) [8][1580/3842] lr: 1.7769e-02 eta: 1:29:29 time: 0.6151 data_time: 0.0193 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.7619 recall@top3: 0.9583 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 19:49:57 - mmengine - INFO - Epoch(train) [8][1600/3842] lr: 1.7703e-02 eta: 1:29:22 time: 1.1580 data_time: 0.0585 memory: 10484 grad_norm: 0.1949 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8333 recall@top3: 0.8667 prec@top3: 0.6889 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 19:50:24 - mmengine - INFO - Epoch(train) [8][1620/3842] lr: 1.7638e-02 eta: 1:29:17 time: 1.3547 data_time: 0.1015 memory: 10484 grad_norm: 0.1895 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8667 recall@top3: 0.8444 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4533 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 19:50:55 - mmengine - INFO - Epoch(train) [8][1640/3842] lr: 1.7573e-02 eta: 1:29:13 time: 1.5285 data_time: 0.1396 memory: 10484 grad_norm: 0.1926 recall@thr=0.5: 0.8718 prec@thr=0.5: 1.0000 recall@top3: 0.9744 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0336 loss: 0.0336 2022/08/10 19:51:11 - mmengine - INFO - Epoch(train) [8][1660/3842] lr: 1.7508e-02 eta: 1:29:04 time: 0.8333 data_time: 0.0914 memory: 10484 grad_norm: 0.1884 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.6154 recall@top3: 0.6026 prec@top3: 0.3846 recall@top5: 0.6667 prec@top5: 0.2615 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 19:51:41 - mmengine - INFO - Epoch(train) [8][1680/3842] lr: 1.7444e-02 eta: 1:29:00 time: 1.4835 data_time: 0.1239 memory: 10484 grad_norm: 0.1928 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8437 recall@top3: 0.8958 prec@top3: 0.6875 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 19:51:55 - mmengine - INFO - Epoch(train) [8][1700/3842] lr: 1.7379e-02 eta: 1:28:50 time: 0.6906 data_time: 0.0539 memory: 10484 grad_norm: 0.1904 recall@thr=0.5: 0.9561 prec@thr=0.5: 0.9737 recall@top3: 0.8658 prec@top3: 0.8772 recall@top5: 0.9825 prec@top5: 0.6421 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 19:52:11 - mmengine - INFO - Epoch(train) [8][1720/3842] lr: 1.7314e-02 eta: 1:28:41 time: 0.8158 data_time: 0.0363 memory: 10484 grad_norm: 0.1958 recall@thr=0.5: 0.7487 prec@thr=0.5: 0.9551 recall@top3: 0.8577 prec@top3: 0.7179 recall@top5: 0.9308 prec@top5: 0.4923 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:52:22 - mmengine - INFO - Epoch(train) [8][1740/3842] lr: 1.7250e-02 eta: 1:28:30 time: 0.5405 data_time: 0.0601 memory: 10484 grad_norm: 0.2075 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.6765 recall@top3: 0.7745 prec@top3: 0.5294 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 19:52:37 - mmengine - INFO - Epoch(train) [8][1760/3842] lr: 1.7185e-02 eta: 1:28:21 time: 0.7356 data_time: 0.0327 memory: 10484 grad_norm: 0.1883 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8642 recall@top3: 0.8611 prec@top3: 0.5926 recall@top5: 0.9506 prec@top5: 0.4000 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 19:52:50 - mmengine - INFO - Epoch(train) [8][1780/3842] lr: 1.7121e-02 eta: 1:28:11 time: 0.6751 data_time: 0.0516 memory: 10484 grad_norm: 0.1984 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.9062 recall@top3: 0.8750 prec@top3: 0.8542 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 19:53:01 - mmengine - INFO - Epoch(train) [8][1800/3842] lr: 1.7057e-02 eta: 1:28:00 time: 0.5293 data_time: 0.0476 memory: 10484 grad_norm: 0.1993 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6806 recall@top3: 0.6694 prec@top3: 0.5556 recall@top5: 0.9722 prec@top5: 0.5167 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 19:53:29 - mmengine - INFO - Epoch(train) [8][1820/3842] lr: 1.6992e-02 eta: 1:27:55 time: 1.4272 data_time: 0.2474 memory: 10484 grad_norm: 0.2043 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8958 recall@top3: 0.9167 prec@top3: 0.7500 recall@top5: 0.9792 prec@top5: 0.5000 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 19:53:40 - mmengine - INFO - Epoch(train) [8][1840/3842] lr: 1.6928e-02 eta: 1:27:44 time: 0.5203 data_time: 0.0392 memory: 10484 grad_norm: 0.1975 recall@thr=0.5: 0.8495 prec@thr=0.5: 0.8629 recall@top3: 0.7715 prec@top3: 0.8065 recall@top5: 0.9355 prec@top5: 0.5935 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 19:53:53 - mmengine - INFO - Epoch(train) [8][1860/3842] lr: 1.6864e-02 eta: 1:27:34 time: 0.6675 data_time: 0.0886 memory: 10484 grad_norm: 0.1931 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.9130 recall@top3: 0.8986 prec@top3: 0.7681 recall@top5: 0.9565 prec@top5: 0.5043 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 19:54:13 - mmengine - INFO - Epoch(train) [8][1880/3842] lr: 1.6800e-02 eta: 1:27:26 time: 1.0001 data_time: 0.0567 memory: 10484 grad_norm: 0.2006 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7879 recall@top3: 0.9394 prec@top3: 0.6364 recall@top5: 0.9394 prec@top5: 0.3818 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 19:54:35 - mmengine - INFO - Epoch(train) [8][1900/3842] lr: 1.6736e-02 eta: 1:27:19 time: 1.1096 data_time: 0.0734 memory: 10484 grad_norm: 0.1895 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.9778 recall@top3: 0.9111 prec@top3: 0.6000 recall@top5: 0.9556 prec@top5: 0.3867 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 19:54:54 - mmengine - INFO - Epoch(train) [8][1920/3842] lr: 1.6672e-02 eta: 1:27:11 time: 0.9141 data_time: 0.0645 memory: 10484 grad_norm: 0.1969 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7333 recall@top3: 0.8083 prec@top3: 0.5667 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 19:55:09 - mmengine - INFO - Epoch(train) [8][1940/3842] lr: 1.6609e-02 eta: 1:27:01 time: 0.7632 data_time: 0.0449 memory: 10484 grad_norm: 0.1971 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.6875 recall@top3: 0.8802 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 19:55:19 - mmengine - INFO - Epoch(train) [8][1960/3842] lr: 1.6545e-02 eta: 1:26:50 time: 0.5181 data_time: 0.0344 memory: 10484 grad_norm: 0.1926 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8929 recall@top3: 0.9048 prec@top3: 0.5714 recall@top5: 0.9286 prec@top5: 0.3571 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 19:55:30 - mmengine - INFO - Epoch(train) [8][1980/3842] lr: 1.6482e-02 eta: 1:26:39 time: 0.5391 data_time: 0.0300 memory: 10484 grad_norm: 0.2064 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.9048 recall@top3: 0.8690 prec@top3: 0.7857 recall@top5: 0.9583 prec@top5: 0.5429 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 19:55:40 - mmengine - INFO - Epoch(train) [8][2000/3842] lr: 1.6418e-02 eta: 1:26:28 time: 0.5151 data_time: 0.0319 memory: 10484 grad_norm: 0.1950 recall@thr=0.5: 0.9359 prec@thr=0.5: 0.9744 recall@top3: 0.9359 prec@top3: 0.8718 recall@top5: 0.9744 prec@top5: 0.5538 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 19:55:52 - mmengine - INFO - Epoch(train) [8][2020/3842] lr: 1.6355e-02 eta: 1:26:17 time: 0.5824 data_time: 0.0338 memory: 10484 grad_norm: 0.2012 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8529 recall@top3: 0.8725 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 19:56:02 - mmengine - INFO - Epoch(train) [8][2040/3842] lr: 1.6292e-02 eta: 1:26:06 time: 0.5192 data_time: 0.0362 memory: 10484 grad_norm: 0.1955 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.8922 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.8775 prec@top5: 0.4353 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 19:56:13 - mmengine - INFO - Epoch(train) [8][2060/3842] lr: 1.6228e-02 eta: 1:25:55 time: 0.5505 data_time: 0.0309 memory: 10484 grad_norm: 0.1961 recall@thr=0.5: 0.8413 prec@thr=0.5: 0.9206 recall@top3: 0.8452 prec@top3: 0.8571 recall@top5: 0.9667 prec@top5: 0.6000 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 19:56:24 - mmengine - INFO - Epoch(train) [8][2080/3842] lr: 1.6165e-02 eta: 1:25:44 time: 0.5153 data_time: 0.0309 memory: 10484 grad_norm: 0.1914 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8889 recall@top3: 0.7667 prec@top3: 0.6944 recall@top5: 0.9306 prec@top5: 0.5333 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 19:56:35 - mmengine - INFO - Epoch(train) [8][2100/3842] lr: 1.6102e-02 eta: 1:25:33 time: 0.5515 data_time: 0.0400 memory: 10484 grad_norm: 0.1867 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6500 recall@top3: 0.8778 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4933 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 19:56:38 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 19:56:45 - mmengine - INFO - Epoch(train) [8][2120/3842] lr: 1.6039e-02 eta: 1:25:23 time: 0.5312 data_time: 0.0508 memory: 10484 grad_norm: 0.1948 recall@thr=0.5: 0.8681 prec@thr=0.5: 0.8542 recall@top3: 0.9444 prec@top3: 0.7361 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 19:56:56 - mmengine - INFO - Epoch(train) [8][2140/3842] lr: 1.5977e-02 eta: 1:25:12 time: 0.5431 data_time: 0.0323 memory: 10484 grad_norm: 0.1923 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.8667 recall@top3: 0.7222 prec@top3: 0.6000 recall@top5: 0.8444 prec@top5: 0.4533 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 19:57:07 - mmengine - INFO - Epoch(train) [8][2160/3842] lr: 1.5914e-02 eta: 1:25:01 time: 0.5138 data_time: 0.0302 memory: 10484 grad_norm: 0.1905 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7500 recall@top3: 0.7315 prec@top3: 0.6481 recall@top5: 0.8148 prec@top5: 0.4444 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 19:57:18 - mmengine - INFO - Epoch(train) [8][2180/3842] lr: 1.5851e-02 eta: 1:24:50 time: 0.5852 data_time: 0.0382 memory: 10484 grad_norm: 0.2000 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.7722 recall@top3: 0.8444 prec@top3: 0.7111 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 19:57:30 - mmengine - INFO - Epoch(train) [8][2200/3842] lr: 1.5789e-02 eta: 1:24:39 time: 0.5690 data_time: 0.0608 memory: 10484 grad_norm: 0.1920 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5958 recall@top3: 0.7000 prec@top3: 0.5500 recall@top5: 0.8083 prec@top5: 0.3900 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 19:57:40 - mmengine - INFO - Epoch(train) [8][2220/3842] lr: 1.5726e-02 eta: 1:24:28 time: 0.5176 data_time: 0.0349 memory: 10484 grad_norm: 0.1900 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7187 recall@top3: 0.8958 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 19:57:52 - mmengine - INFO - Epoch(train) [8][2240/3842] lr: 1.5664e-02 eta: 1:24:17 time: 0.5764 data_time: 0.0357 memory: 10484 grad_norm: 0.2057 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8073 recall@top3: 0.8021 prec@top3: 0.6875 recall@top5: 0.9219 prec@top5: 0.4875 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 19:58:02 - mmengine - INFO - Epoch(train) [8][2260/3842] lr: 1.5602e-02 eta: 1:24:06 time: 0.5357 data_time: 0.0360 memory: 10484 grad_norm: 0.2021 recall@thr=0.5: 0.8267 prec@thr=0.5: 0.7400 recall@top3: 0.8333 prec@top3: 0.5733 recall@top5: 0.9533 prec@top5: 0.4080 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 19:58:14 - mmengine - INFO - Epoch(train) [8][2280/3842] lr: 1.5539e-02 eta: 1:23:56 time: 0.5710 data_time: 0.0368 memory: 10484 grad_norm: 0.1910 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7187 recall@top3: 0.7812 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.5125 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 19:58:24 - mmengine - INFO - Epoch(train) [8][2300/3842] lr: 1.5477e-02 eta: 1:23:45 time: 0.5200 data_time: 0.0305 memory: 10484 grad_norm: 0.2030 recall@thr=0.5: 0.8571 prec@thr=0.5: 1.0000 recall@top3: 0.8929 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 19:58:35 - mmengine - INFO - Epoch(train) [8][2320/3842] lr: 1.5415e-02 eta: 1:23:34 time: 0.5665 data_time: 0.0534 memory: 10484 grad_norm: 0.1915 recall@thr=0.5: 0.9271 prec@thr=0.5: 0.9687 recall@top3: 0.9375 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 19:58:46 - mmengine - INFO - Epoch(train) [8][2340/3842] lr: 1.5353e-02 eta: 1:23:23 time: 0.5274 data_time: 0.0307 memory: 10484 grad_norm: 0.1978 recall@thr=0.5: 0.6741 prec@thr=0.5: 0.8333 recall@top3: 0.7519 prec@top3: 0.5556 recall@top5: 0.9222 prec@top5: 0.4222 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 19:58:57 - mmengine - INFO - Epoch(train) [8][2360/3842] lr: 1.5292e-02 eta: 1:23:12 time: 0.5471 data_time: 0.0395 memory: 10484 grad_norm: 0.1902 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8611 recall@top3: 0.9028 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.3833 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 19:59:08 - mmengine - INFO - Epoch(train) [8][2380/3842] lr: 1.5230e-02 eta: 1:23:01 time: 0.5423 data_time: 0.0348 memory: 10484 grad_norm: 0.1993 recall@thr=0.5: 0.7211 prec@thr=0.5: 0.7931 recall@top3: 0.7725 prec@top3: 0.7549 recall@top5: 0.9559 prec@top5: 0.5765 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 19:59:18 - mmengine - INFO - Epoch(train) [8][2400/3842] lr: 1.5168e-02 eta: 1:22:50 time: 0.5205 data_time: 0.0345 memory: 10484 grad_norm: 0.1922 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.9692 recall@top3: 0.7833 prec@top3: 0.7692 recall@top5: 0.8885 prec@top5: 0.5385 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 19:59:30 - mmengine - INFO - Epoch(train) [8][2420/3842] lr: 1.5107e-02 eta: 1:22:39 time: 0.5769 data_time: 0.0354 memory: 10484 grad_norm: 0.2015 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7500 recall@top3: 0.7222 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4500 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 19:59:40 - mmengine - INFO - Epoch(train) [8][2440/3842] lr: 1.5045e-02 eta: 1:22:28 time: 0.5258 data_time: 0.0404 memory: 10484 grad_norm: 0.1947 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.8571 recall@top3: 0.9524 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4476 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 19:59:51 - mmengine - INFO - Epoch(train) [8][2460/3842] lr: 1.4984e-02 eta: 1:22:17 time: 0.5428 data_time: 0.0347 memory: 10484 grad_norm: 0.1937 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.6933 recall@top3: 0.8200 prec@top3: 0.6267 recall@top5: 0.9400 prec@top5: 0.4480 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 20:00:02 - mmengine - INFO - Epoch(train) [8][2480/3842] lr: 1.4923e-02 eta: 1:22:06 time: 0.5271 data_time: 0.0369 memory: 10484 grad_norm: 0.1956 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.6990 recall@top3: 0.7188 prec@top3: 0.5625 recall@top5: 0.9250 prec@top5: 0.4625 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 20:00:12 - mmengine - INFO - Epoch(train) [8][2500/3842] lr: 1.4861e-02 eta: 1:21:56 time: 0.5389 data_time: 0.0295 memory: 10484 grad_norm: 0.1997 recall@thr=0.5: 0.5868 prec@thr=0.5: 0.7153 recall@top3: 0.7431 prec@top3: 0.6806 recall@top5: 0.9062 prec@top5: 0.5167 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 20:00:23 - mmengine - INFO - Epoch(train) [8][2520/3842] lr: 1.4800e-02 eta: 1:21:44 time: 0.5137 data_time: 0.0293 memory: 10484 grad_norm: 0.1949 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8021 recall@top3: 0.9062 prec@top3: 0.6875 recall@top5: 0.9792 prec@top5: 0.4500 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 20:00:34 - mmengine - INFO - Epoch(train) [8][2540/3842] lr: 1.4739e-02 eta: 1:21:34 time: 0.5791 data_time: 0.0384 memory: 10484 grad_norm: 0.1860 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7059 recall@top3: 0.7745 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.4941 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 20:00:45 - mmengine - INFO - Epoch(train) [8][2560/3842] lr: 1.4679e-02 eta: 1:21:23 time: 0.5165 data_time: 0.0335 memory: 10484 grad_norm: 0.1927 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8421 recall@top3: 0.7895 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5579 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 20:00:55 - mmengine - INFO - Epoch(train) [8][2580/3842] lr: 1.4618e-02 eta: 1:21:12 time: 0.5455 data_time: 0.0338 memory: 10484 grad_norm: 0.1978 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.8590 recall@top3: 0.8141 prec@top3: 0.7821 recall@top5: 0.9295 prec@top5: 0.5462 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 20:01:07 - mmengine - INFO - Epoch(train) [8][2600/3842] lr: 1.4557e-02 eta: 1:21:01 time: 0.5620 data_time: 0.0519 memory: 10484 grad_norm: 0.2014 recall@thr=0.5: 0.9111 prec@thr=0.5: 0.8667 recall@top3: 0.9667 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 20:01:17 - mmengine - INFO - Epoch(train) [8][2620/3842] lr: 1.4496e-02 eta: 1:20:50 time: 0.5313 data_time: 0.0380 memory: 10484 grad_norm: 0.2023 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.9706 recall@top3: 0.8676 prec@top3: 0.8824 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 20:01:30 - mmengine - INFO - Epoch(train) [8][2640/3842] lr: 1.4436e-02 eta: 1:20:40 time: 0.6437 data_time: 0.1075 memory: 10484 grad_norm: 0.2017 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7941 recall@top3: 0.7843 prec@top3: 0.6471 recall@top5: 0.9510 prec@top5: 0.4824 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 20:01:41 - mmengine - INFO - Epoch(train) [8][2660/3842] lr: 1.4376e-02 eta: 1:20:29 time: 0.5368 data_time: 0.0497 memory: 10484 grad_norm: 0.1966 recall@thr=0.5: 0.8623 prec@thr=0.5: 0.9275 recall@top3: 0.9275 prec@top3: 0.6957 recall@top5: 1.0000 prec@top5: 0.4696 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 20:01:53 - mmengine - INFO - Epoch(train) [8][2680/3842] lr: 1.4315e-02 eta: 1:20:18 time: 0.5801 data_time: 0.0491 memory: 10484 grad_norm: 0.1857 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9062 recall@top3: 0.8750 prec@top3: 0.7917 recall@top5: 0.9688 prec@top5: 0.5500 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 20:02:03 - mmengine - INFO - Epoch(train) [8][2700/3842] lr: 1.4255e-02 eta: 1:20:07 time: 0.5208 data_time: 0.0393 memory: 10484 grad_norm: 0.1931 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8333 recall@top3: 0.9118 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 20:02:15 - mmengine - INFO - Epoch(train) [8][2720/3842] lr: 1.4195e-02 eta: 1:19:57 time: 0.6005 data_time: 0.0846 memory: 10484 grad_norm: 0.1878 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.9479 recall@top3: 0.8750 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 20:02:26 - mmengine - INFO - Epoch(train) [8][2740/3842] lr: 1.4135e-02 eta: 1:19:46 time: 0.5363 data_time: 0.0358 memory: 10484 grad_norm: 0.1934 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7778 recall@top3: 0.8167 prec@top3: 0.6444 recall@top5: 0.9222 prec@top5: 0.4533 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 20:02:36 - mmengine - INFO - Epoch(train) [8][2760/3842] lr: 1.4075e-02 eta: 1:19:35 time: 0.5260 data_time: 0.0297 memory: 10484 grad_norm: 0.1943 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9333 recall@top3: 0.8333 prec@top3: 0.8000 recall@top5: 1.0000 prec@top5: 0.5867 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 20:02:48 - mmengine - INFO - Epoch(train) [8][2780/3842] lr: 1.4015e-02 eta: 1:19:24 time: 0.5891 data_time: 0.0316 memory: 10484 grad_norm: 0.1995 recall@thr=0.5: 0.8783 prec@thr=0.5: 0.8630 recall@top3: 0.8130 prec@top3: 0.8551 recall@top5: 0.9174 prec@top5: 0.5913 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 20:02:59 - mmengine - INFO - Epoch(train) [8][2800/3842] lr: 1.3956e-02 eta: 1:19:13 time: 0.5311 data_time: 0.0427 memory: 10484 grad_norm: 0.1981 recall@thr=0.5: 0.8386 prec@thr=0.5: 0.9474 recall@top3: 0.8965 prec@top3: 0.8947 recall@top5: 0.9868 prec@top5: 0.6105 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 20:03:10 - mmengine - INFO - Epoch(train) [8][2820/3842] lr: 1.3896e-02 eta: 1:19:02 time: 0.5657 data_time: 0.0359 memory: 10484 grad_norm: 0.1909 recall@thr=0.5: 0.9359 prec@thr=0.5: 0.9615 recall@top3: 0.8654 prec@top3: 0.8462 recall@top5: 0.9615 prec@top5: 0.5846 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:03:20 - mmengine - INFO - Epoch(train) [8][2840/3842] lr: 1.3836e-02 eta: 1:18:51 time: 0.5192 data_time: 0.0348 memory: 10484 grad_norm: 0.2015 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.9744 recall@top3: 0.8205 prec@top3: 0.7692 recall@top5: 0.9808 prec@top5: 0.5538 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 20:03:34 - mmengine - INFO - Epoch(train) [8][2860/3842] lr: 1.3777e-02 eta: 1:18:41 time: 0.6883 data_time: 0.0344 memory: 10484 grad_norm: 0.2043 recall@thr=0.5: 0.9083 prec@thr=0.5: 0.8000 recall@top3: 0.9250 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4100 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:03:46 - mmengine - INFO - Epoch(train) [8][2880/3842] lr: 1.3718e-02 eta: 1:18:31 time: 0.6025 data_time: 0.0503 memory: 10484 grad_norm: 0.1932 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9259 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 20:03:58 - mmengine - INFO - Epoch(train) [8][2900/3842] lr: 1.3658e-02 eta: 1:18:20 time: 0.5968 data_time: 0.0340 memory: 10484 grad_norm: 0.1965 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8333 recall@top3: 0.7917 prec@top3: 0.8148 recall@top5: 0.9630 prec@top5: 0.6111 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 20:04:09 - mmengine - INFO - Epoch(train) [8][2920/3842] lr: 1.3599e-02 eta: 1:18:09 time: 0.5287 data_time: 0.0452 memory: 10484 grad_norm: 0.1935 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.8302 recall@top3: 0.6516 prec@top3: 0.8254 recall@top5: 0.8651 prec@top5: 0.6762 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 20:04:20 - mmengine - INFO - Epoch(train) [8][2940/3842] lr: 1.3540e-02 eta: 1:17:58 time: 0.5423 data_time: 0.0319 memory: 10484 grad_norm: 0.2031 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.9107 recall@top3: 0.8750 prec@top3: 0.7381 recall@top5: 0.9643 prec@top5: 0.5000 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 20:04:31 - mmengine - INFO - Epoch(train) [8][2960/3842] lr: 1.3481e-02 eta: 1:17:47 time: 0.5820 data_time: 0.0342 memory: 10484 grad_norm: 0.2031 recall@thr=0.5: 0.7430 prec@thr=0.5: 0.7912 recall@top3: 0.7570 prec@top3: 0.7018 recall@top5: 0.9184 prec@top5: 0.5158 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 20:04:42 - mmengine - INFO - Epoch(train) [8][2980/3842] lr: 1.3423e-02 eta: 1:17:37 time: 0.5647 data_time: 0.0296 memory: 10484 grad_norm: 0.1955 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8542 recall@top3: 0.8125 prec@top3: 0.7917 recall@top5: 0.9167 prec@top5: 0.5375 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 20:04:54 - mmengine - INFO - Epoch(train) [8][3000/3842] lr: 1.3364e-02 eta: 1:17:26 time: 0.5952 data_time: 0.0616 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.7206 recall@top3: 0.8480 prec@top3: 0.6078 recall@top5: 0.9853 prec@top5: 0.4353 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 20:05:05 - mmengine - INFO - Epoch(train) [8][3020/3842] lr: 1.3305e-02 eta: 1:17:15 time: 0.5499 data_time: 0.0602 memory: 10484 grad_norm: 0.1908 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6429 recall@top3: 0.7540 prec@top3: 0.6032 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 20:05:17 - mmengine - INFO - Epoch(train) [8][3040/3842] lr: 1.3247e-02 eta: 1:17:04 time: 0.5635 data_time: 0.0300 memory: 10484 grad_norm: 0.2019 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.7544 recall@top3: 0.7632 prec@top3: 0.6842 recall@top5: 0.8947 prec@top5: 0.4947 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 20:05:28 - mmengine - INFO - Epoch(train) [8][3060/3842] lr: 1.3188e-02 eta: 1:16:54 time: 0.5695 data_time: 0.0645 memory: 10484 grad_norm: 0.1960 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8725 recall@top3: 0.7549 prec@top3: 0.6078 recall@top5: 0.9020 prec@top5: 0.4471 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 20:05:40 - mmengine - INFO - Epoch(train) [8][3080/3842] lr: 1.3130e-02 eta: 1:16:43 time: 0.6076 data_time: 0.0652 memory: 10484 grad_norm: 0.1975 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.6667 recall@top3: 0.7879 prec@top3: 0.5152 recall@top5: 0.9697 prec@top5: 0.3818 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 20:05:52 - mmengine - INFO - Epoch(train) [8][3100/3842] lr: 1.3072e-02 eta: 1:16:32 time: 0.5899 data_time: 0.0330 memory: 10484 grad_norm: 0.2007 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8462 recall@top3: 0.9231 prec@top3: 0.8205 recall@top5: 1.0000 prec@top5: 0.5385 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 20:05:57 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 20:06:04 - mmengine - INFO - Epoch(train) [8][3120/3842] lr: 1.3014e-02 eta: 1:16:22 time: 0.5965 data_time: 0.0329 memory: 10484 grad_norm: 0.1925 recall@thr=0.5: 0.7623 prec@thr=0.5: 0.7754 recall@top3: 0.8855 prec@top3: 0.7246 recall@top5: 0.9783 prec@top5: 0.5043 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 20:06:15 - mmengine - INFO - Epoch(train) [8][3140/3842] lr: 1.2956e-02 eta: 1:16:11 time: 0.5504 data_time: 0.0374 memory: 10484 grad_norm: 0.2014 recall@thr=0.5: 0.7857 prec@thr=0.5: 1.0000 recall@top3: 0.8571 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.3429 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 20:06:27 - mmengine - INFO - Epoch(train) [8][3160/3842] lr: 1.2898e-02 eta: 1:16:00 time: 0.5824 data_time: 0.0364 memory: 10484 grad_norm: 0.1973 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7407 recall@top3: 0.7407 prec@top3: 0.6852 recall@top5: 0.8796 prec@top5: 0.5000 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 20:06:37 - mmengine - INFO - Epoch(train) [8][3180/3842] lr: 1.2840e-02 eta: 1:15:49 time: 0.5458 data_time: 0.0318 memory: 10484 grad_norm: 0.1921 recall@thr=0.5: 0.8281 prec@thr=0.5: 0.8026 recall@top3: 0.8877 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5368 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 20:06:49 - mmengine - INFO - Epoch(train) [8][3200/3842] lr: 1.2782e-02 eta: 1:15:38 time: 0.5516 data_time: 0.0289 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9792 recall@top3: 0.8889 prec@top3: 0.7917 recall@top5: 0.9861 prec@top5: 0.5333 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 20:06:59 - mmengine - INFO - Epoch(train) [8][3220/3842] lr: 1.2725e-02 eta: 1:15:27 time: 0.5261 data_time: 0.0369 memory: 10484 grad_norm: 0.1976 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8333 recall@top3: 0.7889 prec@top3: 0.6000 recall@top5: 0.9222 prec@top5: 0.4133 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 20:07:10 - mmengine - INFO - Epoch(train) [8][3240/3842] lr: 1.2667e-02 eta: 1:15:17 time: 0.5500 data_time: 0.0331 memory: 10484 grad_norm: 0.1946 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.9250 recall@top3: 0.7667 prec@top3: 0.7500 recall@top5: 0.9417 prec@top5: 0.5667 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 20:07:21 - mmengine - INFO - Epoch(train) [8][3260/3842] lr: 1.2610e-02 eta: 1:15:06 time: 0.5707 data_time: 0.0656 memory: 10484 grad_norm: 0.1966 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.9792 recall@top3: 0.8472 prec@top3: 0.7222 recall@top5: 0.9375 prec@top5: 0.4833 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 20:07:33 - mmengine - INFO - Epoch(train) [8][3280/3842] lr: 1.2552e-02 eta: 1:14:55 time: 0.5538 data_time: 0.0394 memory: 10484 grad_norm: 0.1999 recall@thr=0.5: 0.7921 prec@thr=0.5: 0.8460 recall@top3: 0.7246 prec@top3: 0.7937 recall@top5: 0.9500 prec@top5: 0.6381 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:07:44 - mmengine - INFO - Epoch(train) [8][3300/3842] lr: 1.2495e-02 eta: 1:14:44 time: 0.5649 data_time: 0.0329 memory: 10484 grad_norm: 0.1941 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8509 recall@top3: 0.8289 prec@top3: 0.7544 recall@top5: 0.9342 prec@top5: 0.5368 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 20:07:54 - mmengine - INFO - Epoch(train) [8][3320/3842] lr: 1.2438e-02 eta: 1:14:33 time: 0.5266 data_time: 0.0295 memory: 10484 grad_norm: 0.2004 recall@thr=0.5: 0.7739 prec@thr=0.5: 0.7739 recall@top3: 0.8339 prec@top3: 0.6222 recall@top5: 0.9267 prec@top5: 0.4333 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:08:06 - mmengine - INFO - Epoch(train) [8][3340/3842] lr: 1.2381e-02 eta: 1:14:22 time: 0.5799 data_time: 0.0327 memory: 10484 grad_norm: 0.1970 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.8182 recall@top3: 0.7273 prec@top3: 0.7273 recall@top5: 0.8939 prec@top5: 0.5455 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 20:08:17 - mmengine - INFO - Epoch(train) [8][3360/3842] lr: 1.2324e-02 eta: 1:14:11 time: 0.5408 data_time: 0.0542 memory: 10484 grad_norm: 0.1966 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8485 recall@top3: 0.8030 prec@top3: 0.5758 recall@top5: 0.9697 prec@top5: 0.4182 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 20:08:29 - mmengine - INFO - Epoch(train) [8][3380/3842] lr: 1.2268e-02 eta: 1:14:01 time: 0.6114 data_time: 0.0326 memory: 10484 grad_norm: 0.1970 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.9120 recall@top3: 0.8009 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 20:08:40 - mmengine - INFO - Epoch(train) [8][3400/3842] lr: 1.2211e-02 eta: 1:13:50 time: 0.5647 data_time: 0.0358 memory: 10484 grad_norm: 0.1993 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.9444 recall@top3: 0.8444 prec@top3: 0.7333 recall@top5: 0.9111 prec@top5: 0.4800 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 20:08:52 - mmengine - INFO - Epoch(train) [8][3420/3842] lr: 1.2154e-02 eta: 1:13:39 time: 0.5774 data_time: 0.0325 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.8667 prec@top3: 0.7833 recall@top5: 0.9667 prec@top5: 0.5300 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 20:09:03 - mmengine - INFO - Epoch(train) [8][3440/3842] lr: 1.2098e-02 eta: 1:13:28 time: 0.5449 data_time: 0.0591 memory: 10484 grad_norm: 0.2005 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.9211 recall@top3: 0.8421 prec@top3: 0.8070 recall@top5: 0.9868 prec@top5: 0.5789 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 20:09:14 - mmengine - INFO - Epoch(train) [8][3460/3842] lr: 1.2042e-02 eta: 1:13:18 time: 0.5818 data_time: 0.0297 memory: 10484 grad_norm: 0.1919 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8444 recall@top3: 0.8944 prec@top3: 0.6444 recall@top5: 0.9111 prec@top5: 0.4000 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 20:09:25 - mmengine - INFO - Epoch(train) [8][3480/3842] lr: 1.1985e-02 eta: 1:13:07 time: 0.5226 data_time: 0.0391 memory: 10484 grad_norm: 0.1890 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.8465 recall@top3: 0.8596 prec@top3: 0.8070 recall@top5: 0.9825 prec@top5: 0.5789 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 20:09:36 - mmengine - INFO - Epoch(train) [8][3500/3842] lr: 1.1929e-02 eta: 1:12:56 time: 0.5493 data_time: 0.0279 memory: 10484 grad_norm: 0.2020 recall@thr=0.5: 0.6960 prec@thr=0.5: 0.8810 recall@top3: 0.7595 prec@top3: 0.7302 recall@top5: 0.8571 prec@top5: 0.5048 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 20:09:46 - mmengine - INFO - Epoch(train) [8][3520/3842] lr: 1.1873e-02 eta: 1:12:45 time: 0.5162 data_time: 0.0338 memory: 10484 grad_norm: 0.1948 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.7895 recall@top3: 0.8377 prec@top3: 0.7719 recall@top5: 0.9474 prec@top5: 0.5368 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 20:09:57 - mmengine - INFO - Epoch(train) [8][3540/3842] lr: 1.1817e-02 eta: 1:12:34 time: 0.5406 data_time: 0.0320 memory: 10484 grad_norm: 0.1923 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.9167 recall@top3: 0.8810 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4571 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 20:10:08 - mmengine - INFO - Epoch(train) [8][3560/3842] lr: 1.1761e-02 eta: 1:12:23 time: 0.5302 data_time: 0.0365 memory: 10484 grad_norm: 0.1945 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8810 recall@top3: 0.8929 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 20:10:19 - mmengine - INFO - Epoch(train) [8][3580/3842] lr: 1.1706e-02 eta: 1:12:12 time: 0.5558 data_time: 0.0359 memory: 10484 grad_norm: 0.1966 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.9500 recall@top3: 0.7222 prec@top3: 0.7333 recall@top5: 0.9389 prec@top5: 0.6000 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 20:10:30 - mmengine - INFO - Epoch(train) [8][3600/3842] lr: 1.1650e-02 eta: 1:12:01 time: 0.5906 data_time: 0.0413 memory: 10484 grad_norm: 0.1963 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.9500 recall@top3: 0.8021 prec@top3: 0.9167 recall@top5: 0.9271 prec@top5: 0.6625 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 20:10:42 - mmengine - INFO - Epoch(train) [8][3620/3842] lr: 1.1595e-02 eta: 1:11:51 time: 0.5902 data_time: 0.0490 memory: 10484 grad_norm: 0.1876 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6548 recall@top3: 0.6429 prec@top3: 0.5476 recall@top5: 0.7619 prec@top5: 0.3857 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 20:10:53 - mmengine - INFO - Epoch(train) [8][3640/3842] lr: 1.1539e-02 eta: 1:11:40 time: 0.5494 data_time: 0.0358 memory: 10484 grad_norm: 0.2013 recall@thr=0.5: 0.8458 prec@thr=0.5: 0.7667 recall@top3: 0.9292 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4700 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 20:11:04 - mmengine - INFO - Epoch(train) [8][3660/3842] lr: 1.1484e-02 eta: 1:11:29 time: 0.5191 data_time: 0.0371 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8782 recall@top3: 0.8397 prec@top3: 0.8718 recall@top5: 0.9744 prec@top5: 0.6154 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 20:11:15 - mmengine - INFO - Epoch(train) [8][3680/3842] lr: 1.1429e-02 eta: 1:11:18 time: 0.5677 data_time: 0.0432 memory: 10484 grad_norm: 0.1956 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9545 recall@top3: 1.0000 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.3818 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 20:11:25 - mmengine - INFO - Epoch(train) [8][3700/3842] lr: 1.1374e-02 eta: 1:11:07 time: 0.5194 data_time: 0.0328 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.8694 prec@thr=0.5: 0.9028 recall@top3: 0.8602 prec@top3: 0.8519 recall@top5: 0.9481 prec@top5: 0.5778 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 20:11:38 - mmengine - INFO - Epoch(train) [8][3720/3842] lr: 1.1319e-02 eta: 1:10:56 time: 0.6081 data_time: 0.0346 memory: 10484 grad_norm: 0.1969 recall@thr=0.5: 0.7768 prec@thr=0.5: 0.7560 recall@top3: 0.8542 prec@top3: 0.6071 recall@top5: 0.9256 prec@top5: 0.4000 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 20:11:48 - mmengine - INFO - Epoch(train) [8][3740/3842] lr: 1.1264e-02 eta: 1:10:45 time: 0.5174 data_time: 0.0342 memory: 10484 grad_norm: 0.1921 recall@thr=0.5: 0.4911 prec@thr=0.5: 0.5556 recall@top3: 0.6356 prec@top3: 0.5111 recall@top5: 0.7733 prec@top5: 0.3867 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 20:11:59 - mmengine - INFO - Epoch(train) [8][3760/3842] lr: 1.1209e-02 eta: 1:10:34 time: 0.5605 data_time: 0.0359 memory: 10484 grad_norm: 0.1895 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.9667 recall@top3: 0.9611 prec@top3: 0.8000 recall@top5: 0.9778 prec@top5: 0.4933 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 20:12:10 - mmengine - INFO - Epoch(train) [8][3780/3842] lr: 1.1155e-02 eta: 1:10:24 time: 0.5452 data_time: 0.0374 memory: 10484 grad_norm: 0.1906 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9833 recall@top3: 0.9444 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 20:12:21 - mmengine - INFO - Epoch(train) [8][3800/3842] lr: 1.1100e-02 eta: 1:10:13 time: 0.5590 data_time: 0.0380 memory: 10484 grad_norm: 0.1938 recall@thr=0.5: 0.8778 prec@thr=0.5: 1.0000 recall@top3: 0.9778 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 20:12:32 - mmengine - INFO - Epoch(train) [8][3820/3842] lr: 1.1046e-02 eta: 1:10:02 time: 0.5207 data_time: 0.0355 memory: 10484 grad_norm: 0.1983 recall@thr=0.5: 0.6688 prec@thr=0.5: 0.7754 recall@top3: 0.7884 prec@top3: 0.7246 recall@top5: 0.9246 prec@top5: 0.5391 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 20:12:45 - mmengine - INFO - Epoch(train) [8][3840/3842] lr: 1.0992e-02 eta: 1:09:51 time: 0.6894 data_time: 0.0356 memory: 10484 grad_norm: 0.1934 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8561 recall@top3: 0.9318 prec@top3: 0.6667 recall@top5: 0.9318 prec@top5: 0.4000 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 20:12:47 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 20:12:47 - mmengine - INFO - Epoch(train) [8][3842/3842] lr: 1.0986e-02 eta: 1:09:51 time: 0.6518 data_time: 0.0353 memory: 10484 grad_norm: 0.1997 recall@thr=0.5: 0.6095 prec@thr=0.5: 1.0000 recall@top3: 0.7881 prec@top3: 0.9048 recall@top5: 0.9286 prec@top5: 0.6571 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 20:12:47 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/10 20:12:55 - mmengine - INFO - Epoch(val) [8][20/6282] eta: 0:07:55 time: 0.0760 data_time: 0.0232 memory: 703 2022/08/10 20:12:56 - mmengine - INFO - Epoch(val) [8][40/6282] eta: 0:09:20 time: 0.0898 data_time: 0.0057 memory: 703 2022/08/10 20:12:58 - mmengine - INFO - Epoch(val) [8][60/6282] eta: 0:06:05 time: 0.0587 data_time: 0.0084 memory: 703 2022/08/10 20:12:59 - mmengine - INFO - Epoch(val) [8][80/6282] eta: 0:05:58 time: 0.0577 data_time: 0.0089 memory: 703 2022/08/10 20:13:00 - mmengine - INFO - Epoch(val) [8][100/6282] eta: 0:05:52 time: 0.0570 data_time: 0.0056 memory: 703 2022/08/10 20:13:01 - mmengine - INFO - Epoch(val) [8][120/6282] eta: 0:06:45 time: 0.0657 data_time: 0.0082 memory: 809 2022/08/10 20:13:03 - mmengine - INFO - Epoch(val) [8][140/6282] eta: 0:07:35 time: 0.0741 data_time: 0.0107 memory: 809 2022/08/10 20:13:04 - mmengine - INFO - Epoch(val) [8][160/6282] eta: 0:07:46 time: 0.0763 data_time: 0.0093 memory: 809 2022/08/10 20:13:06 - mmengine - INFO - Epoch(val) [8][180/6282] eta: 0:08:00 time: 0.0787 data_time: 0.0121 memory: 809 2022/08/10 20:13:08 - mmengine - INFO - Epoch(val) [8][200/6282] eta: 0:10:26 time: 0.1029 data_time: 0.0064 memory: 809 2022/08/10 20:13:09 - mmengine - INFO - Epoch(val) [8][220/6282] eta: 0:07:15 time: 0.0718 data_time: 0.0093 memory: 738 2022/08/10 20:13:10 - mmengine - INFO - Epoch(val) [8][240/6282] eta: 0:05:57 time: 0.0592 data_time: 0.0078 memory: 738 2022/08/10 20:13:13 - mmengine - INFO - Epoch(val) [8][260/6282] eta: 0:12:29 time: 0.1245 data_time: 0.0802 memory: 738 2022/08/10 20:13:14 - mmengine - INFO - Epoch(val) [8][280/6282] eta: 0:07:10 time: 0.0718 data_time: 0.0249 memory: 738 2022/08/10 20:13:15 - mmengine - INFO - Epoch(val) [8][300/6282] eta: 0:05:41 time: 0.0570 data_time: 0.0079 memory: 809 2022/08/10 20:13:17 - mmengine - INFO - Epoch(val) [8][320/6282] eta: 0:07:41 time: 0.0774 data_time: 0.0192 memory: 809 2022/08/10 20:13:19 - mmengine - INFO - Epoch(val) [8][340/6282] eta: 0:08:09 time: 0.0824 data_time: 0.0214 memory: 809 2022/08/10 20:13:20 - mmengine - INFO - Epoch(val) [8][360/6282] eta: 0:08:30 time: 0.0862 data_time: 0.0244 memory: 809 2022/08/10 20:13:22 - mmengine - INFO - Epoch(val) [8][380/6282] eta: 0:09:42 time: 0.0986 data_time: 0.0388 memory: 809 2022/08/10 20:13:24 - mmengine - INFO - Epoch(val) [8][400/6282] eta: 0:07:00 time: 0.0715 data_time: 0.0178 memory: 809 2022/08/10 20:13:27 - mmengine - INFO - Epoch(val) [8][420/6282] eta: 0:17:21 time: 0.1776 data_time: 0.1239 memory: 743 2022/08/10 20:13:29 - mmengine - INFO - Epoch(val) [8][440/6282] eta: 0:06:02 time: 0.0621 data_time: 0.0140 memory: 743 2022/08/10 20:13:30 - mmengine - INFO - Epoch(val) [8][460/6282] eta: 0:05:41 time: 0.0587 data_time: 0.0066 memory: 743 2022/08/10 20:13:31 - mmengine - INFO - Epoch(val) [8][480/6282] eta: 0:06:10 time: 0.0638 data_time: 0.0080 memory: 743 2022/08/10 20:13:32 - mmengine - INFO - Epoch(val) [8][500/6282] eta: 0:06:01 time: 0.0626 data_time: 0.0094 memory: 743 2022/08/10 20:13:34 - mmengine - INFO - Epoch(val) [8][520/6282] eta: 0:05:41 time: 0.0592 data_time: 0.0075 memory: 738 2022/08/10 20:13:35 - mmengine - INFO - Epoch(val) [8][540/6282] eta: 0:05:20 time: 0.0557 data_time: 0.0066 memory: 738 2022/08/10 20:13:36 - mmengine - INFO - Epoch(val) [8][560/6282] eta: 0:05:24 time: 0.0568 data_time: 0.0071 memory: 738 2022/08/10 20:13:38 - mmengine - INFO - Epoch(val) [8][580/6282] eta: 0:08:44 time: 0.0920 data_time: 0.0072 memory: 738 2022/08/10 20:13:39 - mmengine - INFO - Epoch(val) [8][600/6282] eta: 0:05:11 time: 0.0548 data_time: 0.0073 memory: 738 2022/08/10 20:13:40 - mmengine - INFO - Epoch(val) [8][620/6282] eta: 0:05:11 time: 0.0551 data_time: 0.0063 memory: 738 2022/08/10 20:13:41 - mmengine - INFO - Epoch(val) [8][640/6282] eta: 0:05:02 time: 0.0537 data_time: 0.0068 memory: 733 2022/08/10 20:13:42 - mmengine - INFO - Epoch(val) [8][660/6282] eta: 0:04:55 time: 0.0526 data_time: 0.0051 memory: 733 2022/08/10 20:13:44 - mmengine - INFO - Epoch(val) [8][680/6282] eta: 0:11:19 time: 0.1213 data_time: 0.0764 memory: 733 2022/08/10 20:13:46 - mmengine - INFO - Epoch(val) [8][700/6282] eta: 0:06:32 time: 0.0703 data_time: 0.0286 memory: 733 2022/08/10 20:13:48 - mmengine - INFO - Epoch(val) [8][720/6282] eta: 0:10:21 time: 0.1118 data_time: 0.0593 memory: 809 2022/08/10 20:13:51 - mmengine - INFO - Epoch(val) [8][740/6282] eta: 0:15:25 time: 0.1671 data_time: 0.1065 memory: 809 2022/08/10 20:13:55 - mmengine - INFO - Epoch(val) [8][760/6282] eta: 0:14:23 time: 0.1563 data_time: 0.0937 memory: 809 2022/08/10 20:13:57 - mmengine - INFO - Epoch(val) [8][780/6282] eta: 0:13:20 time: 0.1454 data_time: 0.0700 memory: 809 2022/08/10 20:14:01 - mmengine - INFO - Epoch(val) [8][800/6282] eta: 0:17:38 time: 0.1931 data_time: 0.1281 memory: 809 2022/08/10 20:14:03 - mmengine - INFO - Epoch(val) [8][820/6282] eta: 0:09:07 time: 0.1002 data_time: 0.0422 memory: 809 2022/08/10 20:14:05 - mmengine - INFO - Epoch(val) [8][840/6282] eta: 0:05:32 time: 0.0611 data_time: 0.0105 memory: 738 2022/08/10 20:14:06 - mmengine - INFO - Epoch(val) [8][860/6282] eta: 0:05:21 time: 0.0593 data_time: 0.0061 memory: 738 2022/08/10 20:14:07 - mmengine - INFO - Epoch(val) [8][880/6282] eta: 0:05:31 time: 0.0613 data_time: 0.0080 memory: 738 2022/08/10 20:14:09 - mmengine - INFO - Epoch(val) [8][900/6282] eta: 0:06:57 time: 0.0776 data_time: 0.0104 memory: 738 2022/08/10 20:14:10 - mmengine - INFO - Epoch(val) [8][920/6282] eta: 0:06:06 time: 0.0683 data_time: 0.0064 memory: 738 2022/08/10 20:14:12 - mmengine - INFO - Epoch(val) [8][940/6282] eta: 0:07:27 time: 0.0838 data_time: 0.0349 memory: 703 2022/08/10 20:14:14 - mmengine - INFO - Epoch(val) [8][960/6282] eta: 0:08:37 time: 0.0973 data_time: 0.0524 memory: 703 2022/08/10 20:14:15 - mmengine - INFO - Epoch(val) [8][980/6282] eta: 0:06:41 time: 0.0758 data_time: 0.0341 memory: 703 2022/08/10 20:14:16 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:04:11 time: 0.0476 data_time: 0.0034 memory: 703 2022/08/10 20:14:18 - mmengine - INFO - Epoch(val) [8][1020/6282] eta: 0:08:23 time: 0.0956 data_time: 0.0088 memory: 738 2022/08/10 20:14:19 - mmengine - INFO - Epoch(val) [8][1040/6282] eta: 0:04:58 time: 0.0569 data_time: 0.0054 memory: 738 2022/08/10 20:14:20 - mmengine - INFO - Epoch(val) [8][1060/6282] eta: 0:04:56 time: 0.0568 data_time: 0.0068 memory: 738 2022/08/10 20:14:21 - mmengine - INFO - Epoch(val) [8][1080/6282] eta: 0:05:00 time: 0.0578 data_time: 0.0059 memory: 738 2022/08/10 20:14:23 - mmengine - INFO - Epoch(val) [8][1100/6282] eta: 0:05:06 time: 0.0591 data_time: 0.0102 memory: 738 2022/08/10 20:14:24 - mmengine - INFO - Epoch(val) [8][1120/6282] eta: 0:06:18 time: 0.0733 data_time: 0.0265 memory: 738 2022/08/10 20:14:25 - mmengine - INFO - Epoch(val) [8][1140/6282] eta: 0:04:28 time: 0.0522 data_time: 0.0041 memory: 738 2022/08/10 20:14:26 - mmengine - INFO - Epoch(val) [8][1160/6282] eta: 0:04:33 time: 0.0534 data_time: 0.0058 memory: 738 2022/08/10 20:14:27 - mmengine - INFO - Epoch(val) [8][1180/6282] eta: 0:04:14 time: 0.0500 data_time: 0.0047 memory: 738 2022/08/10 20:14:28 - mmengine - INFO - Epoch(val) [8][1200/6282] eta: 0:04:14 time: 0.0500 data_time: 0.0044 memory: 738 2022/08/10 20:14:29 - mmengine - INFO - Epoch(val) [8][1220/6282] eta: 0:04:43 time: 0.0560 data_time: 0.0061 memory: 738 2022/08/10 20:14:32 - mmengine - INFO - Epoch(val) [8][1240/6282] eta: 0:10:15 time: 0.1221 data_time: 0.0627 memory: 809 2022/08/10 20:14:34 - mmengine - INFO - Epoch(val) [8][1260/6282] eta: 0:09:58 time: 0.1191 data_time: 0.0614 memory: 809 2022/08/10 20:14:37 - mmengine - INFO - Epoch(val) [8][1280/6282] eta: 0:11:24 time: 0.1367 data_time: 0.0800 memory: 809 2022/08/10 20:14:39 - mmengine - INFO - Epoch(val) [8][1300/6282] eta: 0:10:02 time: 0.1209 data_time: 0.0244 memory: 809 2022/08/10 20:14:42 - mmengine - INFO - Epoch(val) [8][1320/6282] eta: 0:11:23 time: 0.1378 data_time: 0.0813 memory: 809 2022/08/10 20:14:45 - mmengine - INFO - Epoch(val) [8][1340/6282] eta: 0:11:28 time: 0.1393 data_time: 0.0810 memory: 809 2022/08/10 20:14:49 - mmengine - INFO - Epoch(val) [8][1360/6282] eta: 0:15:23 time: 0.1876 data_time: 0.1161 memory: 809 2022/08/10 20:14:55 - mmengine - INFO - Epoch(val) [8][1380/6282] eta: 0:26:59 time: 0.3303 data_time: 0.2679 memory: 809 2022/08/10 20:14:58 - mmengine - INFO - Epoch(val) [8][1400/6282] eta: 0:11:55 time: 0.1466 data_time: 0.0857 memory: 809 2022/08/10 20:15:00 - mmengine - INFO - Epoch(val) [8][1420/6282] eta: 0:08:41 time: 0.1072 data_time: 0.0329 memory: 809 2022/08/10 20:15:02 - mmengine - INFO - Epoch(val) [8][1440/6282] eta: 0:06:53 time: 0.0854 data_time: 0.0267 memory: 809 2022/08/10 20:15:03 - mmengine - INFO - Epoch(val) [8][1460/6282] eta: 0:05:34 time: 0.0693 data_time: 0.0105 memory: 809 2022/08/10 20:15:06 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:10:11 time: 0.1273 data_time: 0.0702 memory: 809 2022/08/10 20:15:07 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:06:26 time: 0.0808 data_time: 0.0225 memory: 809 2022/08/10 20:15:09 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:05:23 time: 0.0679 data_time: 0.0108 memory: 911 2022/08/10 20:15:11 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:08:08 time: 0.1030 data_time: 0.0315 memory: 911 2022/08/10 20:15:13 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:06:24 time: 0.0814 data_time: 0.0083 memory: 911 2022/08/10 20:15:14 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:06:13 time: 0.0795 data_time: 0.0063 memory: 911 2022/08/10 20:15:16 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:06:26 time: 0.0825 data_time: 0.0090 memory: 911 2022/08/10 20:15:17 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:06:24 time: 0.0824 data_time: 0.0078 memory: 911 2022/08/10 20:15:19 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:05:00 time: 0.0647 data_time: 0.0072 memory: 809 2022/08/10 20:15:21 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:08:05 time: 0.1051 data_time: 0.0070 memory: 809 2022/08/10 20:15:22 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:06:11 time: 0.0807 data_time: 0.0232 memory: 809 2022/08/10 20:15:25 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:09:50 time: 0.1289 data_time: 0.0730 memory: 809 2022/08/10 20:15:26 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:04:36 time: 0.0605 data_time: 0.0039 memory: 809 2022/08/10 20:15:28 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:06:11 time: 0.0818 data_time: 0.0249 memory: 809 2022/08/10 20:15:29 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:04:54 time: 0.0651 data_time: 0.0062 memory: 809 2022/08/10 20:15:31 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:05:38 time: 0.0752 data_time: 0.0166 memory: 809 2022/08/10 20:15:32 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:04:38 time: 0.0621 data_time: 0.0049 memory: 809 2022/08/10 20:15:33 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:04:54 time: 0.0660 data_time: 0.0057 memory: 809 2022/08/10 20:15:35 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:05:19 time: 0.0719 data_time: 0.0103 memory: 809 2022/08/10 20:15:38 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:11:01 time: 0.1495 data_time: 0.0897 memory: 809 2022/08/10 20:15:41 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:10:24 time: 0.1420 data_time: 0.0492 memory: 809 2022/08/10 20:15:43 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:09:46 time: 0.1339 data_time: 0.0791 memory: 809 2022/08/10 20:15:46 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:09:17 time: 0.1278 data_time: 0.0693 memory: 809 2022/08/10 20:15:48 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:09:20 time: 0.1292 data_time: 0.0702 memory: 809 2022/08/10 20:15:50 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:04:08 time: 0.0576 data_time: 0.0065 memory: 743 2022/08/10 20:15:51 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:04:05 time: 0.0571 data_time: 0.0086 memory: 743 2022/08/10 20:15:52 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:04:33 time: 0.0638 data_time: 0.0084 memory: 743 2022/08/10 20:15:53 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:04:42 time: 0.0663 data_time: 0.0126 memory: 743 2022/08/10 20:15:54 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:04:11 time: 0.0593 data_time: 0.0077 memory: 743 2022/08/10 20:15:56 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:04:19 time: 0.0616 data_time: 0.0101 memory: 743 2022/08/10 20:15:57 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:04:11 time: 0.0598 data_time: 0.0072 memory: 743 2022/08/10 20:15:58 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:04:22 time: 0.0629 data_time: 0.0087 memory: 743 2022/08/10 20:16:00 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:04:39 time: 0.0671 data_time: 0.0093 memory: 743 2022/08/10 20:16:01 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:06:29 time: 0.0941 data_time: 0.0076 memory: 743 2022/08/10 20:16:03 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:04:13 time: 0.0615 data_time: 0.0076 memory: 738 2022/08/10 20:16:04 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:04:19 time: 0.0633 data_time: 0.0088 memory: 738 2022/08/10 20:16:05 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:03:57 time: 0.0581 data_time: 0.0073 memory: 738 2022/08/10 20:16:06 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:04:01 time: 0.0594 data_time: 0.0073 memory: 738 2022/08/10 20:16:07 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:03:50 time: 0.0570 data_time: 0.0063 memory: 738 2022/08/10 20:16:09 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:03:45 time: 0.0561 data_time: 0.0067 memory: 743 2022/08/10 20:16:10 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:03:53 time: 0.0582 data_time: 0.0070 memory: 743 2022/08/10 20:16:11 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:03:54 time: 0.0588 data_time: 0.0102 memory: 743 2022/08/10 20:16:12 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:03:58 time: 0.0602 data_time: 0.0061 memory: 743 2022/08/10 20:16:13 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:04:00 time: 0.0610 data_time: 0.0073 memory: 743 2022/08/10 20:16:14 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:03:38 time: 0.0557 data_time: 0.0072 memory: 738 2022/08/10 20:16:16 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:03:47 time: 0.0582 data_time: 0.0075 memory: 738 2022/08/10 20:16:17 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:03:38 time: 0.0563 data_time: 0.0063 memory: 738 2022/08/10 20:16:18 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:03:39 time: 0.0568 data_time: 0.0077 memory: 738 2022/08/10 20:16:21 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:10:33 time: 0.1649 data_time: 0.0872 memory: 738 2022/08/10 20:16:23 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:06:08 time: 0.0963 data_time: 0.0390 memory: 809 2022/08/10 20:16:24 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:03:51 time: 0.0610 data_time: 0.0046 memory: 809 2022/08/10 20:16:27 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:07:08 time: 0.1133 data_time: 0.0560 memory: 809 2022/08/10 20:16:28 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:05:14 time: 0.0837 data_time: 0.0267 memory: 809 2022/08/10 20:16:31 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:07:05 time: 0.1137 data_time: 0.0526 memory: 809 2022/08/10 20:16:33 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:08:10 time: 0.1318 data_time: 0.0420 memory: 809 2022/08/10 20:16:37 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:10:14 time: 0.1659 data_time: 0.1058 memory: 809 2022/08/10 20:16:39 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:08:33 time: 0.1395 data_time: 0.0783 memory: 809 2022/08/10 20:16:42 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:09:40 time: 0.1584 data_time: 0.0861 memory: 809 2022/08/10 20:16:45 - mmengine - INFO - Epoch(val) [8][2640/6282] eta: 0:07:59 time: 0.1318 data_time: 0.0708 memory: 809 2022/08/10 20:16:47 - mmengine - INFO - Epoch(val) [8][2660/6282] eta: 0:05:18 time: 0.0880 data_time: 0.0155 memory: 902 2022/08/10 20:16:49 - mmengine - INFO - Epoch(val) [8][2680/6282] eta: 0:05:35 time: 0.0931 data_time: 0.0172 memory: 902 2022/08/10 20:16:50 - mmengine - INFO - Epoch(val) [8][2700/6282] eta: 0:05:01 time: 0.0843 data_time: 0.0128 memory: 902 2022/08/10 20:16:52 - mmengine - INFO - Epoch(val) [8][2720/6282] eta: 0:04:59 time: 0.0842 data_time: 0.0101 memory: 902 2022/08/10 20:16:54 - mmengine - INFO - Epoch(val) [8][2740/6282] eta: 0:05:09 time: 0.0873 data_time: 0.0147 memory: 902 2022/08/10 20:16:55 - mmengine - INFO - Epoch(val) [8][2760/6282] eta: 0:03:27 time: 0.0588 data_time: 0.0065 memory: 743 2022/08/10 20:16:56 - mmengine - INFO - Epoch(val) [8][2780/6282] eta: 0:03:28 time: 0.0596 data_time: 0.0060 memory: 743 2022/08/10 20:16:57 - mmengine - INFO - Epoch(val) [8][2800/6282] eta: 0:03:25 time: 0.0591 data_time: 0.0072 memory: 743 2022/08/10 20:16:59 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:03:18 time: 0.0572 data_time: 0.0070 memory: 743 2022/08/10 20:17:00 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:03:33 time: 0.0620 data_time: 0.0102 memory: 743 2022/08/10 20:17:01 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:04:04 time: 0.0715 data_time: 0.0107 memory: 809 2022/08/10 20:17:04 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:06:39 time: 0.1174 data_time: 0.0208 memory: 809 2022/08/10 20:17:05 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:04:38 time: 0.0825 data_time: 0.0199 memory: 809 2022/08/10 20:17:07 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:03:30 time: 0.0626 data_time: 0.0063 memory: 809 2022/08/10 20:17:08 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:03:23 time: 0.0608 data_time: 0.0069 memory: 773 2022/08/10 20:17:09 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:03:22 time: 0.0610 data_time: 0.0069 memory: 773 2022/08/10 20:17:10 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:03:38 time: 0.0660 data_time: 0.0113 memory: 773 2022/08/10 20:17:12 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:03:21 time: 0.0613 data_time: 0.0076 memory: 773 2022/08/10 20:17:13 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:03:40 time: 0.0675 data_time: 0.0056 memory: 809 2022/08/10 20:17:14 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:03:45 time: 0.0696 data_time: 0.0077 memory: 809 2022/08/10 20:17:16 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:03:40 time: 0.0685 data_time: 0.0089 memory: 809 2022/08/10 20:17:17 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:03:42 time: 0.0694 data_time: 0.0079 memory: 809 2022/08/10 20:17:18 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:03:26 time: 0.0649 data_time: 0.0067 memory: 809 2022/08/10 20:17:20 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:03:12 time: 0.0608 data_time: 0.0080 memory: 743 2022/08/10 20:17:21 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:04:03 time: 0.0774 data_time: 0.0285 memory: 743 2022/08/10 20:17:24 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:07:31 time: 0.1448 data_time: 0.0620 memory: 743 2022/08/10 20:17:25 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:03:47 time: 0.0732 data_time: 0.0255 memory: 743 2022/08/10 20:17:27 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:03:19 time: 0.0646 data_time: 0.0110 memory: 809 2022/08/10 20:17:28 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:04:12 time: 0.0825 data_time: 0.0219 memory: 809 2022/08/10 20:17:30 - mmengine - INFO - Epoch(val) [8][3240/6282] eta: 0:04:26 time: 0.0875 data_time: 0.0275 memory: 809 2022/08/10 20:17:32 - mmengine - INFO - Epoch(val) [8][3260/6282] eta: 0:04:43 time: 0.0940 data_time: 0.0319 memory: 809 2022/08/10 20:17:34 - mmengine - INFO - Epoch(val) [8][3280/6282] eta: 0:03:40 time: 0.0734 data_time: 0.0131 memory: 809 2022/08/10 20:17:35 - mmengine - INFO - Epoch(val) [8][3300/6282] eta: 0:03:27 time: 0.0694 data_time: 0.0087 memory: 809 2022/08/10 20:17:36 - mmengine - INFO - Epoch(val) [8][3320/6282] eta: 0:03:16 time: 0.0665 data_time: 0.0061 memory: 809 2022/08/10 20:17:38 - mmengine - INFO - Epoch(val) [8][3340/6282] eta: 0:03:21 time: 0.0686 data_time: 0.0087 memory: 809 2022/08/10 20:17:39 - mmengine - INFO - Epoch(val) [8][3360/6282] eta: 0:03:08 time: 0.0647 data_time: 0.0054 memory: 809 2022/08/10 20:17:40 - mmengine - INFO - Epoch(val) [8][3380/6282] eta: 0:03:08 time: 0.0649 data_time: 0.0072 memory: 809 2022/08/10 20:17:41 - mmengine - INFO - Epoch(val) [8][3400/6282] eta: 0:02:42 time: 0.0563 data_time: 0.0073 memory: 738 2022/08/10 20:17:44 - mmengine - INFO - Epoch(val) [8][3420/6282] eta: 0:06:55 time: 0.1451 data_time: 0.0957 memory: 738 2022/08/10 20:17:46 - mmengine - INFO - Epoch(val) [8][3440/6282] eta: 0:03:24 time: 0.0721 data_time: 0.0260 memory: 738 2022/08/10 20:17:47 - mmengine - INFO - Epoch(val) [8][3460/6282] eta: 0:02:35 time: 0.0549 data_time: 0.0074 memory: 738 2022/08/10 20:17:48 - mmengine - INFO - Epoch(val) [8][3480/6282] eta: 0:03:25 time: 0.0733 data_time: 0.0250 memory: 738 2022/08/10 20:17:50 - mmengine - INFO - Epoch(val) [8][3500/6282] eta: 0:02:47 time: 0.0602 data_time: 0.0050 memory: 738 2022/08/10 20:17:51 - mmengine - INFO - Epoch(val) [8][3520/6282] eta: 0:02:45 time: 0.0598 data_time: 0.0093 memory: 738 2022/08/10 20:17:52 - mmengine - INFO - Epoch(val) [8][3540/6282] eta: 0:02:39 time: 0.0580 data_time: 0.0094 memory: 738 2022/08/10 20:17:53 - mmengine - INFO - Epoch(val) [8][3560/6282] eta: 0:02:35 time: 0.0570 data_time: 0.0076 memory: 738 2022/08/10 20:17:54 - mmengine - INFO - Epoch(val) [8][3580/6282] eta: 0:02:49 time: 0.0628 data_time: 0.0072 memory: 789 2022/08/10 20:17:56 - mmengine - INFO - Epoch(val) [8][3600/6282] eta: 0:02:47 time: 0.0624 data_time: 0.0073 memory: 789 2022/08/10 20:17:57 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:02:51 time: 0.0646 data_time: 0.0092 memory: 789 2022/08/10 20:17:58 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:02:46 time: 0.0631 data_time: 0.0077 memory: 789 2022/08/10 20:17:59 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:43 time: 0.0625 data_time: 0.0071 memory: 789 2022/08/10 20:18:01 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:02:44 time: 0.0632 data_time: 0.0064 memory: 809 2022/08/10 20:18:02 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:03:37 time: 0.0843 data_time: 0.0254 memory: 809 2022/08/10 20:18:04 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:03:30 time: 0.0822 data_time: 0.0252 memory: 809 2022/08/10 20:18:07 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:07:31 time: 0.1776 data_time: 0.1229 memory: 809 2022/08/10 20:18:10 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:04:21 time: 0.1036 data_time: 0.0470 memory: 809 2022/08/10 20:18:11 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:02:59 time: 0.0719 data_time: 0.0144 memory: 809 2022/08/10 20:18:13 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:03:34 time: 0.0866 data_time: 0.0260 memory: 809 2022/08/10 20:18:15 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:03:59 time: 0.0973 data_time: 0.0302 memory: 809 2022/08/10 20:18:16 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:03:12 time: 0.0789 data_time: 0.0189 memory: 809 2022/08/10 20:18:18 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:03:42 time: 0.0917 data_time: 0.0353 memory: 809 2022/08/10 20:18:20 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:03:13 time: 0.0807 data_time: 0.0216 memory: 809 2022/08/10 20:18:21 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:03:27 time: 0.0872 data_time: 0.0246 memory: 809 2022/08/10 20:18:23 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:03:00 time: 0.0766 data_time: 0.0168 memory: 809 2022/08/10 20:18:25 - mmengine - INFO - Epoch(val) [8][3940/6282] eta: 0:04:48 time: 0.1231 data_time: 0.0300 memory: 809 2022/08/10 20:18:27 - mmengine - INFO - Epoch(val) [8][3960/6282] eta: 0:02:28 time: 0.0640 data_time: 0.0048 memory: 809 2022/08/10 20:18:28 - mmengine - INFO - Epoch(val) [8][3980/6282] eta: 0:02:40 time: 0.0697 data_time: 0.0089 memory: 809 2022/08/10 20:18:30 - mmengine - INFO - Epoch(val) [8][4000/6282] eta: 0:02:37 time: 0.0691 data_time: 0.0094 memory: 809 2022/08/10 20:18:31 - mmengine - INFO - Epoch(val) [8][4020/6282] eta: 0:02:39 time: 0.0706 data_time: 0.0087 memory: 809 2022/08/10 20:18:32 - mmengine - INFO - Epoch(val) [8][4040/6282] eta: 0:02:36 time: 0.0697 data_time: 0.0077 memory: 902 2022/08/10 20:18:34 - mmengine - INFO - Epoch(val) [8][4060/6282] eta: 0:03:05 time: 0.0837 data_time: 0.0105 memory: 902 2022/08/10 20:18:36 - mmengine - INFO - Epoch(val) [8][4080/6282] eta: 0:02:52 time: 0.0782 data_time: 0.0094 memory: 902 2022/08/10 20:18:37 - mmengine - INFO - Epoch(val) [8][4100/6282] eta: 0:02:51 time: 0.0784 data_time: 0.0079 memory: 902 2022/08/10 20:18:39 - mmengine - INFO - Epoch(val) [8][4120/6282] eta: 0:02:51 time: 0.0795 data_time: 0.0066 memory: 902 2022/08/10 20:18:40 - mmengine - INFO - Epoch(val) [8][4140/6282] eta: 0:02:50 time: 0.0797 data_time: 0.0122 memory: 902 2022/08/10 20:18:41 - mmengine - INFO - Epoch(val) [8][4160/6282] eta: 0:01:53 time: 0.0534 data_time: 0.0047 memory: 738 2022/08/10 20:18:43 - mmengine - INFO - Epoch(val) [8][4180/6282] eta: 0:02:11 time: 0.0625 data_time: 0.0139 memory: 738 2022/08/10 20:18:44 - mmengine - INFO - Epoch(val) [8][4200/6282] eta: 0:01:53 time: 0.0543 data_time: 0.0056 memory: 738 2022/08/10 20:18:45 - mmengine - INFO - Epoch(val) [8][4220/6282] eta: 0:01:59 time: 0.0580 data_time: 0.0085 memory: 738 2022/08/10 20:18:47 - mmengine - INFO - Epoch(val) [8][4240/6282] eta: 0:03:15 time: 0.0958 data_time: 0.0088 memory: 738 2022/08/10 20:18:48 - mmengine - INFO - Epoch(val) [8][4260/6282] eta: 0:02:02 time: 0.0606 data_time: 0.0093 memory: 736 2022/08/10 20:18:49 - mmengine - INFO - Epoch(val) [8][4280/6282] eta: 0:01:58 time: 0.0593 data_time: 0.0089 memory: 736 2022/08/10 20:18:50 - mmengine - INFO - Epoch(val) [8][4300/6282] eta: 0:01:59 time: 0.0602 data_time: 0.0102 memory: 736 2022/08/10 20:18:52 - mmengine - INFO - Epoch(val) [8][4320/6282] eta: 0:01:54 time: 0.0584 data_time: 0.0082 memory: 736 2022/08/10 20:18:53 - mmengine - INFO - Epoch(val) [8][4340/6282] eta: 0:01:53 time: 0.0586 data_time: 0.0077 memory: 736 2022/08/10 20:18:54 - mmengine - INFO - Epoch(val) [8][4360/6282] eta: 0:02:12 time: 0.0687 data_time: 0.0078 memory: 809 2022/08/10 20:18:56 - mmengine - INFO - Epoch(val) [8][4380/6282] eta: 0:02:09 time: 0.0680 data_time: 0.0074 memory: 809 2022/08/10 20:18:58 - mmengine - INFO - Epoch(val) [8][4400/6282] eta: 0:03:03 time: 0.0977 data_time: 0.0071 memory: 809 2022/08/10 20:18:59 - mmengine - INFO - Epoch(val) [8][4420/6282] eta: 0:02:10 time: 0.0698 data_time: 0.0085 memory: 809 2022/08/10 20:19:00 - mmengine - INFO - Epoch(val) [8][4440/6282] eta: 0:02:09 time: 0.0705 data_time: 0.0082 memory: 816 2022/08/10 20:19:02 - mmengine - INFO - Epoch(val) [8][4460/6282] eta: 0:02:08 time: 0.0703 data_time: 0.0095 memory: 816 2022/08/10 20:19:03 - mmengine - INFO - Epoch(val) [8][4480/6282] eta: 0:02:04 time: 0.0692 data_time: 0.0072 memory: 816 2022/08/10 20:19:05 - mmengine - INFO - Epoch(val) [8][4500/6282] eta: 0:02:06 time: 0.0710 data_time: 0.0090 memory: 816 2022/08/10 20:19:06 - mmengine - INFO - Epoch(val) [8][4520/6282] eta: 0:01:57 time: 0.0668 data_time: 0.0088 memory: 816 2022/08/10 20:19:07 - mmengine - INFO - Epoch(val) [8][4540/6282] eta: 0:01:43 time: 0.0596 data_time: 0.0073 memory: 743 2022/08/10 20:19:08 - mmengine - INFO - Epoch(val) [8][4560/6282] eta: 0:01:39 time: 0.0579 data_time: 0.0079 memory: 743 2022/08/10 20:19:10 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:56 time: 0.0687 data_time: 0.0094 memory: 743 2022/08/10 20:19:11 - mmengine - INFO - Epoch(val) [8][4600/6282] eta: 0:01:39 time: 0.0590 data_time: 0.0093 memory: 743 2022/08/10 20:19:12 - mmengine - INFO - Epoch(val) [8][4620/6282] eta: 0:01:40 time: 0.0604 data_time: 0.0091 memory: 743 2022/08/10 20:19:13 - mmengine - INFO - Epoch(val) [8][4640/6282] eta: 0:01:56 time: 0.0708 data_time: 0.0096 memory: 816 2022/08/10 20:19:15 - mmengine - INFO - Epoch(val) [8][4660/6282] eta: 0:01:58 time: 0.0729 data_time: 0.0081 memory: 816 2022/08/10 20:19:17 - mmengine - INFO - Epoch(val) [8][4680/6282] eta: 0:02:41 time: 0.1008 data_time: 0.0104 memory: 816 2022/08/10 20:19:18 - mmengine - INFO - Epoch(val) [8][4700/6282] eta: 0:01:50 time: 0.0696 data_time: 0.0077 memory: 816 2022/08/10 20:19:20 - mmengine - INFO - Epoch(val) [8][4720/6282] eta: 0:01:47 time: 0.0685 data_time: 0.0075 memory: 816 2022/08/10 20:19:21 - mmengine - INFO - Epoch(val) [8][4740/6282] eta: 0:01:34 time: 0.0612 data_time: 0.0086 memory: 768 2022/08/10 20:19:22 - mmengine - INFO - Epoch(val) [8][4760/6282] eta: 0:01:30 time: 0.0593 data_time: 0.0073 memory: 768 2022/08/10 20:19:23 - mmengine - INFO - Epoch(val) [8][4780/6282] eta: 0:01:38 time: 0.0656 data_time: 0.0079 memory: 768 2022/08/10 20:19:25 - mmengine - INFO - Epoch(val) [8][4800/6282] eta: 0:01:34 time: 0.0638 data_time: 0.0062 memory: 768 2022/08/10 20:19:26 - mmengine - INFO - Epoch(val) [8][4820/6282] eta: 0:01:36 time: 0.0657 data_time: 0.0090 memory: 809 2022/08/10 20:19:27 - mmengine - INFO - Epoch(val) [8][4840/6282] eta: 0:01:41 time: 0.0701 data_time: 0.0078 memory: 809 2022/08/10 20:19:29 - mmengine - INFO - Epoch(val) [8][4860/6282] eta: 0:01:38 time: 0.0693 data_time: 0.0066 memory: 809 2022/08/10 20:19:30 - mmengine - INFO - Epoch(val) [8][4880/6282] eta: 0:01:40 time: 0.0717 data_time: 0.0083 memory: 809 2022/08/10 20:19:32 - mmengine - INFO - Epoch(val) [8][4900/6282] eta: 0:01:38 time: 0.0712 data_time: 0.0080 memory: 809 2022/08/10 20:19:33 - mmengine - INFO - Epoch(val) [8][4920/6282] eta: 0:01:35 time: 0.0705 data_time: 0.0089 memory: 811 2022/08/10 20:19:35 - mmengine - INFO - Epoch(val) [8][4940/6282] eta: 0:01:38 time: 0.0731 data_time: 0.0097 memory: 811 2022/08/10 20:19:36 - mmengine - INFO - Epoch(val) [8][4960/6282] eta: 0:01:35 time: 0.0724 data_time: 0.0088 memory: 811 2022/08/10 20:19:38 - mmengine - INFO - Epoch(val) [8][4980/6282] eta: 0:02:25 time: 0.1114 data_time: 0.0075 memory: 811 2022/08/10 20:19:40 - mmengine - INFO - Epoch(val) [8][5000/6282] eta: 0:01:36 time: 0.0756 data_time: 0.0083 memory: 811 2022/08/10 20:19:41 - mmengine - INFO - Epoch(val) [8][5020/6282] eta: 0:01:26 time: 0.0682 data_time: 0.0112 memory: 811 2022/08/10 20:19:42 - mmengine - INFO - Epoch(val) [8][5040/6282] eta: 0:01:15 time: 0.0605 data_time: 0.0080 memory: 743 2022/08/10 20:19:44 - mmengine - INFO - Epoch(val) [8][5060/6282] eta: 0:01:19 time: 0.0651 data_time: 0.0101 memory: 743 2022/08/10 20:19:45 - mmengine - INFO - Epoch(val) [8][5080/6282] eta: 0:01:15 time: 0.0629 data_time: 0.0100 memory: 743 2022/08/10 20:19:46 - mmengine - INFO - Epoch(val) [8][5100/6282] eta: 0:01:16 time: 0.0651 data_time: 0.0076 memory: 743 2022/08/10 20:19:48 - mmengine - INFO - Epoch(val) [8][5120/6282] eta: 0:01:30 time: 0.0782 data_time: 0.0303 memory: 743 2022/08/10 20:19:50 - mmengine - INFO - Epoch(val) [8][5140/6282] eta: 0:02:16 time: 0.1199 data_time: 0.0712 memory: 738 2022/08/10 20:19:52 - 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mmengine - INFO - Epoch(val) [8][5340/6282] eta: 0:00:54 time: 0.0583 data_time: 0.0092 memory: 738 2022/08/10 20:20:05 - mmengine - INFO - Epoch(val) [8][5360/6282] eta: 0:00:59 time: 0.0645 data_time: 0.0112 memory: 738 2022/08/10 20:20:06 - mmengine - INFO - Epoch(val) [8][5380/6282] eta: 0:00:59 time: 0.0663 data_time: 0.0126 memory: 738 2022/08/10 20:20:07 - mmengine - INFO - Epoch(val) [8][5400/6282] eta: 0:00:54 time: 0.0614 data_time: 0.0102 memory: 738 2022/08/10 20:20:08 - mmengine - INFO - Epoch(val) [8][5420/6282] eta: 0:00:52 time: 0.0611 data_time: 0.0094 memory: 738 2022/08/10 20:20:10 - mmengine - INFO - Epoch(val) [8][5440/6282] eta: 0:00:53 time: 0.0631 data_time: 0.0086 memory: 738 2022/08/10 20:20:11 - mmengine - INFO - Epoch(val) [8][5460/6282] eta: 0:00:49 time: 0.0598 data_time: 0.0068 memory: 738 2022/08/10 20:20:12 - mmengine - INFO - Epoch(val) [8][5480/6282] eta: 0:01:03 time: 0.0789 data_time: 0.0290 memory: 738 2022/08/10 20:20:13 - mmengine - INFO - Epoch(val) [8][5500/6282] eta: 0:00:40 time: 0.0522 data_time: 0.0069 memory: 738 2022/08/10 20:20:15 - 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mmengine - INFO - Epoch(val) [8][5700/6282] eta: 0:00:33 time: 0.0582 data_time: 0.0074 memory: 738 2022/08/10 20:20:28 - mmengine - INFO - Epoch(val) [8][5720/6282] eta: 0:00:34 time: 0.0622 data_time: 0.0110 memory: 780 2022/08/10 20:20:29 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:33 time: 0.0624 data_time: 0.0076 memory: 780 2022/08/10 20:20:31 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:32 time: 0.0626 data_time: 0.0095 memory: 780 2022/08/10 20:20:32 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:29 time: 0.0580 data_time: 0.0059 memory: 780 2022/08/10 20:20:33 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:29 time: 0.0610 data_time: 0.0081 memory: 780 2022/08/10 20:20:34 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:27 time: 0.0603 data_time: 0.0081 memory: 780 2022/08/10 20:20:36 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:25 time: 0.0581 data_time: 0.0083 memory: 763 2022/08/10 20:20:37 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:25 time: 0.0609 data_time: 0.0076 memory: 763 2022/08/10 20:20:38 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:23 time: 0.0573 data_time: 0.0055 memory: 763 2022/08/10 20:20:39 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:23 time: 0.0625 data_time: 0.0053 memory: 763 2022/08/10 20:20:40 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:19 time: 0.0551 data_time: 0.0046 memory: 763 2022/08/10 20:20:41 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:18 time: 0.0528 data_time: 0.0064 memory: 738 2022/08/10 20:20:42 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:17 time: 0.0538 data_time: 0.0055 memory: 738 2022/08/10 20:20:43 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:16 time: 0.0552 data_time: 0.0067 memory: 738 2022/08/10 20:20:45 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:16 time: 0.0585 data_time: 0.0049 memory: 809 2022/08/10 20:20:46 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:16 time: 0.0636 data_time: 0.0070 memory: 809 2022/08/10 20:20:47 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:14 time: 0.0591 data_time: 0.0048 memory: 809 2022/08/10 20:20:48 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:13 time: 0.0590 data_time: 0.0045 memory: 809 2022/08/10 20:20:55 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:01:08 time: 0.3386 data_time: 0.2858 memory: 809 2022/08/10 20:20:56 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:10 time: 0.0591 data_time: 0.0053 memory: 809 2022/08/10 20:20:59 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:21 time: 0.1335 data_time: 0.0637 memory: 809 2022/08/10 20:21:00 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:08 time: 0.0592 data_time: 0.0043 memory: 809 2022/08/10 20:21:01 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:07 time: 0.0582 data_time: 0.0065 memory: 809 2022/08/10 20:21:03 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:09 time: 0.0955 data_time: 0.0428 memory: 809 2022/08/10 20:21:04 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:04 time: 0.0549 data_time: 0.0032 memory: 809 2022/08/10 20:21:05 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:03 time: 0.0558 data_time: 0.0041 memory: 809 2022/08/10 20:21:07 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:02 time: 0.0548 data_time: 0.0037 memory: 809 2022/08/10 20:21:08 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:01 time: 0.0551 data_time: 0.0037 memory: 809 2022/08/10 20:21:09 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0556 data_time: 0.0041 memory: 809 2022/08/10 20:25:41 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.2598 2022/08/10 20:25:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ava_slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_8.pth is removed 2022/08/10 20:25:45 - mmengine - INFO - The best checkpoint with 0.2598 mAP/mAP@0.5IOU at 9 epoch is saved to best_mAP/mAP@0.5IOU_epoch_9.pth. 2022/08/10 20:25:57 - mmengine - INFO - Epoch(train) [9][20/3842] lr: 1.0932e-02 eta: 1:09:39 time: 0.5927 data_time: 0.0931 memory: 10484 grad_norm: 0.1943 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.6907 recall@top3: 0.6019 prec@top3: 0.6667 recall@top5: 0.8148 prec@top5: 0.5556 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 20:26:09 - mmengine - INFO - Epoch(train) [9][40/3842] lr: 1.0878e-02 eta: 1:09:29 time: 0.5915 data_time: 0.0372 memory: 10484 grad_norm: 0.1938 recall@thr=0.5: 0.8393 prec@thr=0.5: 0.8036 recall@top3: 0.7857 prec@top3: 0.7857 recall@top5: 0.9167 prec@top5: 0.5571 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 20:26:19 - mmengine - INFO - Epoch(train) [9][60/3842] lr: 1.0824e-02 eta: 1:09:18 time: 0.5100 data_time: 0.0273 memory: 10484 grad_norm: 0.1959 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9286 recall@top3: 0.8274 prec@top3: 0.8810 recall@top5: 0.9286 prec@top5: 0.6000 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 20:26:30 - mmengine - INFO - Epoch(train) [9][80/3842] lr: 1.0770e-02 eta: 1:09:07 time: 0.5560 data_time: 0.0241 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8167 recall@top3: 0.9000 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 20:26:41 - mmengine - INFO - Epoch(train) [9][100/3842] lr: 1.0717e-02 eta: 1:08:56 time: 0.5104 data_time: 0.0291 memory: 10484 grad_norm: 0.1956 recall@thr=0.5: 0.9692 prec@thr=0.5: 0.8718 recall@top3: 0.9692 prec@top3: 0.6923 recall@top5: 0.9846 prec@top5: 0.4308 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 20:26:51 - mmengine - INFO - Epoch(train) [9][120/3842] lr: 1.0663e-02 eta: 1:08:45 time: 0.5287 data_time: 0.0184 memory: 10484 grad_norm: 0.1965 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.8556 recall@top3: 0.9222 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.5067 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 20:27:02 - mmengine - INFO - Epoch(train) [9][140/3842] lr: 1.0609e-02 eta: 1:08:34 time: 0.5231 data_time: 0.0160 memory: 10484 grad_norm: 0.1927 recall@thr=0.5: 0.9333 prec@thr=0.5: 1.0000 recall@top3: 0.9333 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.5067 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 20:27:12 - mmengine - INFO - Epoch(train) [9][160/3842] lr: 1.0556e-02 eta: 1:08:23 time: 0.5318 data_time: 0.0179 memory: 10484 grad_norm: 0.1881 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8333 recall@top3: 0.8137 prec@top3: 0.7059 recall@top5: 0.8529 prec@top5: 0.4471 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 20:27:22 - mmengine - INFO - Epoch(train) [9][180/3842] lr: 1.0503e-02 eta: 1:08:12 time: 0.5029 data_time: 0.0206 memory: 10484 grad_norm: 0.1960 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6250 recall@top3: 0.7222 prec@top3: 0.5000 recall@top5: 0.7917 prec@top5: 0.3333 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 20:27:33 - mmengine - INFO - Epoch(train) [9][200/3842] lr: 1.0450e-02 eta: 1:08:01 time: 0.5462 data_time: 0.0163 memory: 10484 grad_norm: 0.2028 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7667 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.8000 prec@top5: 0.4400 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 20:27:43 - mmengine - INFO - Epoch(train) [9][220/3842] lr: 1.0397e-02 eta: 1:07:50 time: 0.5022 data_time: 0.0184 memory: 10484 grad_norm: 0.1933 recall@thr=0.5: 0.7301 prec@thr=0.5: 0.7788 recall@top3: 0.7673 prec@top3: 0.7692 recall@top5: 0.9365 prec@top5: 0.5846 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 20:27:54 - mmengine - INFO - Epoch(train) [9][240/3842] lr: 1.0344e-02 eta: 1:07:39 time: 0.5352 data_time: 0.0174 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.7056 prec@thr=0.5: 0.8611 recall@top3: 0.8944 prec@top3: 0.7333 recall@top5: 0.9833 prec@top5: 0.4933 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 20:28:04 - mmengine - INFO - Epoch(train) [9][260/3842] lr: 1.0291e-02 eta: 1:07:28 time: 0.5006 data_time: 0.0190 memory: 10484 grad_norm: 0.1987 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7500 recall@top3: 0.7917 prec@top3: 0.6111 recall@top5: 0.8889 prec@top5: 0.4333 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 20:28:07 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 20:28:15 - mmengine - INFO - Epoch(train) [9][280/3842] lr: 1.0238e-02 eta: 1:07:17 time: 0.5722 data_time: 0.0147 memory: 10484 grad_norm: 0.2009 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.7111 recall@top3: 0.6611 prec@top3: 0.6889 recall@top5: 0.7889 prec@top5: 0.4933 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 20:28:26 - mmengine - INFO - Epoch(train) [9][300/3842] lr: 1.0186e-02 eta: 1:07:06 time: 0.5223 data_time: 0.0162 memory: 10484 grad_norm: 0.2067 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8333 recall@top3: 0.8485 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 20:28:37 - mmengine - INFO - Epoch(train) [9][320/3842] lr: 1.0133e-02 eta: 1:06:55 time: 0.5320 data_time: 0.0182 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.5737 prec@thr=0.5: 0.7684 recall@top3: 0.6412 prec@top3: 0.5789 recall@top5: 0.8535 prec@top5: 0.4842 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 20:28:47 - mmengine - INFO - Epoch(train) [9][340/3842] lr: 1.0081e-02 eta: 1:06:44 time: 0.4997 data_time: 0.0156 memory: 10484 grad_norm: 0.1908 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.9405 recall@top3: 0.8631 prec@top3: 0.7857 recall@top5: 0.9821 prec@top5: 0.5429 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 20:28:57 - mmengine - INFO - Epoch(train) [9][360/3842] lr: 1.0029e-02 eta: 1:06:33 time: 0.5235 data_time: 0.0187 memory: 10484 grad_norm: 0.1880 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8111 recall@top3: 0.9167 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 20:29:07 - mmengine - INFO - Epoch(train) [9][380/3842] lr: 9.9764e-03 eta: 1:06:22 time: 0.5230 data_time: 0.0160 memory: 10484 grad_norm: 0.2028 recall@thr=0.5: 0.8935 prec@thr=0.5: 1.0000 recall@top3: 0.9167 prec@top3: 0.9630 recall@top5: 1.0000 prec@top5: 0.6444 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:29:18 - mmengine - INFO - Epoch(train) [9][400/3842] lr: 9.9244e-03 eta: 1:06:11 time: 0.5293 data_time: 0.0191 memory: 10484 grad_norm: 0.2033 recall@thr=0.5: 0.8155 prec@thr=0.5: 0.7143 recall@top3: 0.9286 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 20:29:29 - mmengine - INFO - Epoch(train) [9][420/3842] lr: 9.8725e-03 eta: 1:06:00 time: 0.5260 data_time: 0.0167 memory: 10484 grad_norm: 0.2079 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.9259 recall@top3: 0.8565 prec@top3: 0.8333 recall@top5: 0.9537 prec@top5: 0.5778 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 20:29:39 - mmengine - INFO - Epoch(train) [9][440/3842] lr: 9.8208e-03 eta: 1:05:49 time: 0.5323 data_time: 0.0191 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7667 recall@top3: 0.8889 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 20:29:50 - mmengine - INFO - Epoch(train) [9][460/3842] lr: 9.7691e-03 eta: 1:05:38 time: 0.5265 data_time: 0.0173 memory: 10484 grad_norm: 0.1944 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4125 loss_action_cls: 0.0317 loss: 0.0317 2022/08/10 20:30:01 - mmengine - INFO - Epoch(train) [9][480/3842] lr: 9.7176e-03 eta: 1:05:27 time: 0.5515 data_time: 0.0171 memory: 10484 grad_norm: 0.2040 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.7881 recall@top3: 0.7540 prec@top3: 0.7460 recall@top5: 0.9524 prec@top5: 0.5714 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 20:30:11 - mmengine - INFO - Epoch(train) [9][500/3842] lr: 9.6661e-03 eta: 1:05:16 time: 0.5243 data_time: 0.0222 memory: 10484 grad_norm: 0.1925 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.9111 recall@top3: 0.9000 prec@top3: 0.8222 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 20:30:22 - mmengine - INFO - Epoch(train) [9][520/3842] lr: 9.6148e-03 eta: 1:05:05 time: 0.5245 data_time: 0.0154 memory: 10484 grad_norm: 0.1969 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9231 recall@top3: 0.9231 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.3692 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 20:30:32 - mmengine - INFO - Epoch(train) [9][540/3842] lr: 9.5636e-03 eta: 1:04:54 time: 0.5215 data_time: 0.0180 memory: 10484 grad_norm: 0.1994 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7292 recall@top3: 0.8125 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4167 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:30:43 - mmengine - INFO - Epoch(train) [9][560/3842] lr: 9.5125e-03 eta: 1:04:43 time: 0.5269 data_time: 0.0199 memory: 10484 grad_norm: 0.2051 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7778 recall@top3: 0.9444 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3333 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 20:30:53 - mmengine - INFO - Epoch(train) [9][580/3842] lr: 9.4616e-03 eta: 1:04:32 time: 0.4980 data_time: 0.0180 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.8778 recall@top3: 0.8611 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 20:31:03 - mmengine - INFO - Epoch(train) [9][600/3842] lr: 9.4107e-03 eta: 1:04:21 time: 0.5266 data_time: 0.0136 memory: 10484 grad_norm: 0.2012 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6343 recall@top3: 0.7315 prec@top3: 0.7222 recall@top5: 0.9074 prec@top5: 0.5333 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:31:15 - mmengine - INFO - Epoch(train) [9][620/3842] lr: 9.3600e-03 eta: 1:04:10 time: 0.5874 data_time: 0.0189 memory: 10484 grad_norm: 0.1955 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8611 recall@top3: 0.8769 prec@top3: 0.8148 recall@top5: 1.0000 prec@top5: 0.5889 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 20:31:25 - mmengine - INFO - Epoch(train) [9][640/3842] lr: 9.3094e-03 eta: 1:03:59 time: 0.5043 data_time: 0.0176 memory: 10484 grad_norm: 0.1984 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7167 recall@top3: 0.9500 prec@top3: 0.5333 recall@top5: 0.9625 prec@top5: 0.3300 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 20:31:38 - mmengine - INFO - Epoch(train) [9][660/3842] lr: 9.2589e-03 eta: 1:03:49 time: 0.6695 data_time: 0.0179 memory: 10484 grad_norm: 0.1907 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.6739 recall@top3: 0.7029 prec@top3: 0.5217 recall@top5: 0.8623 prec@top5: 0.3652 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 20:31:49 - mmengine - INFO - Epoch(train) [9][680/3842] lr: 9.2085e-03 eta: 1:03:38 time: 0.5526 data_time: 0.0163 memory: 10484 grad_norm: 0.2081 recall@thr=0.5: 0.8058 prec@thr=0.5: 0.9667 recall@top3: 0.8475 prec@top3: 0.9500 recall@top5: 0.9750 prec@top5: 0.6800 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 20:32:00 - mmengine - INFO - Epoch(train) [9][700/3842] lr: 9.1583e-03 eta: 1:03:27 time: 0.5433 data_time: 0.0172 memory: 10484 grad_norm: 0.2031 recall@thr=0.5: 0.8604 prec@thr=0.5: 0.8750 recall@top3: 0.8188 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 20:32:11 - mmengine - INFO - Epoch(train) [9][720/3842] lr: 9.1081e-03 eta: 1:03:16 time: 0.5298 data_time: 0.0195 memory: 10484 grad_norm: 0.1992 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.8141 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:32:23 - mmengine - INFO - Epoch(train) [9][740/3842] lr: 9.0581e-03 eta: 1:03:05 time: 0.5992 data_time: 0.0182 memory: 10484 grad_norm: 0.2035 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8413 recall@top3: 0.8810 prec@top3: 0.6190 recall@top5: 0.9841 prec@top5: 0.4190 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 20:32:33 - mmengine - INFO - Epoch(train) [9][760/3842] lr: 9.0082e-03 eta: 1:02:54 time: 0.5040 data_time: 0.0164 memory: 10484 grad_norm: 0.1941 recall@thr=0.5: 0.5128 prec@thr=0.5: 0.6282 recall@top3: 0.6667 prec@top3: 0.6154 recall@top5: 0.8205 prec@top5: 0.4615 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 20:32:44 - mmengine - INFO - Epoch(train) [9][780/3842] lr: 8.9584e-03 eta: 1:02:43 time: 0.5296 data_time: 0.0235 memory: 10484 grad_norm: 0.2066 recall@thr=0.5: 0.9226 prec@thr=0.5: 0.8643 recall@top3: 0.8869 prec@top3: 0.7857 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 20:32:54 - mmengine - INFO - Epoch(train) [9][800/3842] lr: 8.9087e-03 eta: 1:02:32 time: 0.5069 data_time: 0.0180 memory: 10484 grad_norm: 0.2028 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.6795 recall@top3: 0.7372 prec@top3: 0.7436 recall@top5: 0.9487 prec@top5: 0.5538 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 20:33:04 - mmengine - INFO - Epoch(train) [9][820/3842] lr: 8.8592e-03 eta: 1:02:21 time: 0.5269 data_time: 0.0186 memory: 10484 grad_norm: 0.1984 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.9412 recall@top3: 0.8235 prec@top3: 0.9020 recall@top5: 0.9608 prec@top5: 0.6471 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 20:33:15 - mmengine - INFO - Epoch(train) [9][840/3842] lr: 8.8098e-03 eta: 1:02:10 time: 0.5298 data_time: 0.0174 memory: 10484 grad_norm: 0.2079 recall@thr=0.5: 0.6873 prec@thr=0.5: 0.7579 recall@top3: 0.8587 prec@top3: 0.7619 recall@top5: 0.9524 prec@top5: 0.5333 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 20:33:26 - mmengine - INFO - Epoch(train) [9][860/3842] lr: 8.7605e-03 eta: 1:01:59 time: 0.5480 data_time: 0.0178 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 0.8068 prec@thr=0.5: 0.9015 recall@top3: 0.8750 prec@top3: 0.7879 recall@top5: 0.9659 prec@top5: 0.5273 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 20:33:36 - mmengine - INFO - Epoch(train) [9][880/3842] lr: 8.7113e-03 eta: 1:01:48 time: 0.5243 data_time: 0.0190 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9333 recall@top3: 0.9250 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 20:33:47 - mmengine - INFO - Epoch(train) [9][900/3842] lr: 8.6622e-03 eta: 1:01:37 time: 0.5104 data_time: 0.0175 memory: 10484 grad_norm: 0.1947 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7130 recall@top3: 0.6852 prec@top3: 0.4630 recall@top5: 0.7778 prec@top5: 0.3222 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 20:33:57 - mmengine - INFO - Epoch(train) [9][920/3842] lr: 8.6133e-03 eta: 1:01:26 time: 0.5262 data_time: 0.0223 memory: 10484 grad_norm: 0.1976 recall@thr=0.5: 0.7795 prec@thr=0.5: 0.8485 recall@top3: 0.8364 prec@top3: 0.8333 recall@top5: 0.9591 prec@top5: 0.5818 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 20:34:07 - mmengine - INFO - Epoch(train) [9][940/3842] lr: 8.5645e-03 eta: 1:01:15 time: 0.4996 data_time: 0.0182 memory: 10484 grad_norm: 0.2074 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.8974 recall@top3: 0.9231 prec@top3: 0.7949 recall@top5: 0.9808 prec@top5: 0.5231 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:34:18 - mmengine - INFO - Epoch(train) [9][960/3842] lr: 8.5158e-03 eta: 1:01:04 time: 0.5242 data_time: 0.0174 memory: 10484 grad_norm: 0.1960 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8526 recall@top3: 0.8814 prec@top3: 0.7949 recall@top5: 0.9776 prec@top5: 0.5385 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 20:34:28 - mmengine - INFO - Epoch(train) [9][980/3842] lr: 8.4672e-03 eta: 1:00:53 time: 0.5009 data_time: 0.0175 memory: 10484 grad_norm: 0.1993 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.5745 recall@top3: 0.7794 prec@top3: 0.5882 recall@top5: 0.8922 prec@top5: 0.4235 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 20:34:38 - mmengine - INFO - Epoch(train) [9][1000/3842] lr: 8.4187e-03 eta: 1:00:42 time: 0.5235 data_time: 0.0206 memory: 10484 grad_norm: 0.2095 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.9474 recall@top3: 0.8947 prec@top3: 0.8947 recall@top5: 0.9737 prec@top5: 0.6000 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 20:34:51 - mmengine - INFO - Epoch(train) [9][1020/3842] lr: 8.3704e-03 eta: 1:00:32 time: 0.6519 data_time: 0.0216 memory: 10484 grad_norm: 0.2144 recall@thr=0.5: 0.5862 prec@thr=0.5: 0.7391 recall@top3: 0.6442 prec@top3: 0.6812 recall@top5: 0.8609 prec@top5: 0.5652 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 20:35:04 - mmengine - INFO - Epoch(train) [9][1040/3842] lr: 8.3222e-03 eta: 1:00:21 time: 0.6315 data_time: 0.0189 memory: 10484 grad_norm: 0.1978 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.6794 recall@top3: 0.8676 prec@top3: 0.7059 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 20:35:14 - mmengine - INFO - Epoch(train) [9][1060/3842] lr: 8.2741e-03 eta: 1:00:10 time: 0.5224 data_time: 0.0185 memory: 10484 grad_norm: 0.2039 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7564 recall@top3: 0.8205 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.5538 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 20:35:25 - mmengine - INFO - Epoch(train) [9][1080/3842] lr: 8.2261e-03 eta: 0:59:59 time: 0.5488 data_time: 0.0171 memory: 10484 grad_norm: 0.1989 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.8229 recall@top3: 0.7969 prec@top3: 0.7708 recall@top5: 0.9375 prec@top5: 0.5500 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 20:35:36 - mmengine - INFO - Epoch(train) [9][1100/3842] lr: 8.1782e-03 eta: 0:59:48 time: 0.5251 data_time: 0.0183 memory: 10484 grad_norm: 0.2006 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8095 recall@top3: 0.8929 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 20:35:46 - mmengine - INFO - Epoch(train) [9][1120/3842] lr: 8.1305e-03 eta: 0:59:37 time: 0.5302 data_time: 0.0233 memory: 10484 grad_norm: 0.2065 recall@thr=0.5: 0.8971 prec@thr=0.5: 0.8578 recall@top3: 0.8873 prec@top3: 0.7451 recall@top5: 0.9559 prec@top5: 0.4824 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 20:35:57 - mmengine - INFO - Epoch(train) [9][1140/3842] lr: 8.0829e-03 eta: 0:59:26 time: 0.5237 data_time: 0.0174 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6481 recall@top3: 0.7407 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 20:36:08 - mmengine - INFO - Epoch(train) [9][1160/3842] lr: 8.0354e-03 eta: 0:59:15 time: 0.5632 data_time: 0.0187 memory: 10484 grad_norm: 0.2005 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8667 recall@top3: 0.7722 prec@top3: 0.7111 recall@top5: 0.9556 prec@top5: 0.5600 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 20:36:19 - mmengine - INFO - Epoch(train) [9][1180/3842] lr: 7.9881e-03 eta: 0:59:04 time: 0.5269 data_time: 0.0169 memory: 10484 grad_norm: 0.1944 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9375 recall@top3: 0.8958 prec@top3: 0.5417 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 20:36:29 - mmengine - INFO - Epoch(train) [9][1200/3842] lr: 7.9408e-03 eta: 0:58:54 time: 0.5307 data_time: 0.0175 memory: 10484 grad_norm: 0.1975 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7843 recall@top3: 0.7745 prec@top3: 0.6471 recall@top5: 0.8529 prec@top5: 0.4235 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 20:36:40 - mmengine - INFO - Epoch(train) [9][1220/3842] lr: 7.8937e-03 eta: 0:58:43 time: 0.5365 data_time: 0.0173 memory: 10484 grad_norm: 0.1951 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7990 recall@top3: 0.7843 prec@top3: 0.7255 recall@top5: 0.8824 prec@top5: 0.5059 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 20:36:50 - mmengine - INFO - Epoch(train) [9][1240/3842] lr: 7.8467e-03 eta: 0:58:31 time: 0.5005 data_time: 0.0198 memory: 10484 grad_norm: 0.2107 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8167 recall@top3: 0.8500 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 20:37:00 - mmengine - INFO - Epoch(train) [9][1260/3842] lr: 7.7999e-03 eta: 0:58:21 time: 0.5235 data_time: 0.0147 memory: 10484 grad_norm: 0.1927 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7396 recall@top3: 0.7604 prec@top3: 0.5625 recall@top5: 0.7812 prec@top5: 0.3500 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 20:37:02 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 20:37:11 - mmengine - INFO - Epoch(train) [9][1280/3842] lr: 7.7531e-03 eta: 0:58:10 time: 0.5221 data_time: 0.0163 memory: 10484 grad_norm: 0.2027 recall@thr=0.5: 0.5571 prec@thr=0.5: 0.7738 recall@top3: 0.7238 prec@top3: 0.6905 recall@top5: 0.7738 prec@top5: 0.4429 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 20:37:22 - mmengine - INFO - Epoch(train) [9][1300/3842] lr: 7.7065e-03 eta: 0:57:59 time: 0.5616 data_time: 0.0181 memory: 10484 grad_norm: 0.2000 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.8750 recall@top3: 0.8646 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 20:37:33 - mmengine - INFO - Epoch(train) [9][1320/3842] lr: 7.6600e-03 eta: 0:57:48 time: 0.5295 data_time: 0.0169 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.9097 recall@top3: 0.8125 prec@top3: 0.8056 recall@top5: 0.9340 prec@top5: 0.5667 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:37:44 - mmengine - INFO - Epoch(train) [9][1340/3842] lr: 7.6137e-03 eta: 0:57:37 time: 0.5800 data_time: 0.0297 memory: 10484 grad_norm: 0.2085 recall@thr=0.5: 0.7944 prec@thr=0.5: 0.8507 recall@top3: 0.7896 prec@top3: 0.8056 recall@top5: 0.9382 prec@top5: 0.6083 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 20:37:55 - mmengine - INFO - Epoch(train) [9][1360/3842] lr: 7.5674e-03 eta: 0:57:26 time: 0.5203 data_time: 0.0162 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7118 recall@top3: 0.7549 prec@top3: 0.6078 recall@top5: 0.8725 prec@top5: 0.4353 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:38:07 - mmengine - INFO - Epoch(train) [9][1380/3842] lr: 7.5213e-03 eta: 0:57:15 time: 0.6106 data_time: 0.0235 memory: 10484 grad_norm: 0.1944 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8222 recall@top3: 0.9000 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 20:38:17 - mmengine - INFO - Epoch(train) [9][1400/3842] lr: 7.4753e-03 eta: 0:57:04 time: 0.5023 data_time: 0.0183 memory: 10484 grad_norm: 0.1933 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8929 recall@top3: 0.8423 prec@top3: 0.6310 recall@top5: 0.9167 prec@top5: 0.4214 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 20:38:27 - mmengine - INFO - Epoch(train) [9][1420/3842] lr: 7.4295e-03 eta: 0:56:53 time: 0.5264 data_time: 0.0185 memory: 10484 grad_norm: 0.2021 recall@thr=0.5: 0.8770 prec@thr=0.5: 0.8810 recall@top3: 0.8214 prec@top3: 0.7937 recall@top5: 0.9762 prec@top5: 0.5810 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 20:38:40 - mmengine - INFO - Epoch(train) [9][1440/3842] lr: 7.3837e-03 eta: 0:56:43 time: 0.6435 data_time: 0.0211 memory: 10484 grad_norm: 0.1927 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8571 recall@top3: 0.8333 prec@top3: 0.7381 recall@top5: 0.9286 prec@top5: 0.5000 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 20:38:51 - mmengine - INFO - Epoch(train) [9][1460/3842] lr: 7.3381e-03 eta: 0:56:32 time: 0.5316 data_time: 0.0192 memory: 10484 grad_norm: 0.2020 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.8406 recall@top3: 0.8043 prec@top3: 0.8116 recall@top5: 0.9348 prec@top5: 0.5391 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 20:39:02 - mmengine - INFO - Epoch(train) [9][1480/3842] lr: 7.2926e-03 eta: 0:56:21 time: 0.5705 data_time: 0.0200 memory: 10484 grad_norm: 0.2072 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7667 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 20:39:13 - mmengine - INFO - Epoch(train) [9][1500/3842] lr: 7.2473e-03 eta: 0:56:10 time: 0.5130 data_time: 0.0175 memory: 10484 grad_norm: 0.1887 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.9167 recall@top3: 0.8073 prec@top3: 0.8542 recall@top5: 0.9531 prec@top5: 0.6125 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 20:39:23 - mmengine - INFO - Epoch(train) [9][1520/3842] lr: 7.2020e-03 eta: 0:55:59 time: 0.5380 data_time: 0.0202 memory: 10484 grad_norm: 0.2062 recall@thr=0.5: 0.8383 prec@thr=0.5: 0.8167 recall@top3: 0.8308 prec@top3: 0.6500 recall@top5: 0.9508 prec@top5: 0.4600 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 20:39:34 - mmengine - INFO - Epoch(train) [9][1540/3842] lr: 7.1569e-03 eta: 0:55:48 time: 0.5162 data_time: 0.0179 memory: 10484 grad_norm: 0.2054 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6944 recall@top3: 0.6852 prec@top3: 0.6296 recall@top5: 0.9074 prec@top5: 0.4667 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 20:39:44 - mmengine - INFO - Epoch(train) [9][1560/3842] lr: 7.1119e-03 eta: 0:55:37 time: 0.5251 data_time: 0.0177 memory: 10484 grad_norm: 0.1996 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7273 recall@top3: 0.7576 prec@top3: 0.6061 recall@top5: 0.9091 prec@top5: 0.4545 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 20:39:55 - mmengine - INFO - Epoch(train) [9][1580/3842] lr: 7.0671e-03 eta: 0:55:26 time: 0.5345 data_time: 0.0175 memory: 10484 grad_norm: 0.2081 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.8750 recall@top3: 0.8521 prec@top3: 0.8333 recall@top5: 0.9688 prec@top5: 0.5917 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 20:40:07 - mmengine - INFO - Epoch(train) [9][1600/3842] lr: 7.0223e-03 eta: 0:55:15 time: 0.5995 data_time: 0.0168 memory: 10484 grad_norm: 0.2091 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7857 recall@top3: 0.8571 prec@top3: 0.7619 recall@top5: 0.9048 prec@top5: 0.4857 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 20:40:17 - mmengine - INFO - Epoch(train) [9][1620/3842] lr: 6.9777e-03 eta: 0:55:04 time: 0.5208 data_time: 0.0168 memory: 10484 grad_norm: 0.2099 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8627 recall@top3: 0.8333 prec@top3: 0.7451 recall@top5: 0.9412 prec@top5: 0.5176 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 20:40:29 - mmengine - INFO - Epoch(train) [9][1640/3842] lr: 6.9333e-03 eta: 0:54:54 time: 0.5693 data_time: 0.0203 memory: 10484 grad_norm: 0.1922 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7424 recall@top3: 0.7879 prec@top3: 0.6061 recall@top5: 0.9091 prec@top5: 0.4182 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 20:40:39 - mmengine - INFO - Epoch(train) [9][1660/3842] lr: 6.8889e-03 eta: 0:54:43 time: 0.5021 data_time: 0.0163 memory: 10484 grad_norm: 0.2048 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9074 recall@top3: 0.8796 prec@top3: 0.8333 recall@top5: 0.9444 prec@top5: 0.5444 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 20:40:49 - mmengine - INFO - Epoch(train) [9][1680/3842] lr: 6.8447e-03 eta: 0:54:32 time: 0.5201 data_time: 0.0169 memory: 10484 grad_norm: 0.2036 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.9744 recall@top3: 0.9231 prec@top3: 0.7692 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 20:40:59 - mmengine - INFO - Epoch(train) [9][1700/3842] lr: 6.8006e-03 eta: 0:54:21 time: 0.5043 data_time: 0.0178 memory: 10484 grad_norm: 0.1933 recall@thr=0.5: 0.6452 prec@thr=0.5: 0.7619 recall@top3: 0.7722 prec@top3: 0.7143 recall@top5: 0.8770 prec@top5: 0.4952 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 20:41:10 - mmengine - INFO - Epoch(train) [9][1720/3842] lr: 6.7567e-03 eta: 0:54:10 time: 0.5241 data_time: 0.0168 memory: 10484 grad_norm: 0.2062 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8571 recall@top3: 0.8452 prec@top3: 0.5952 recall@top5: 0.9048 prec@top5: 0.4000 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 20:41:20 - mmengine - INFO - Epoch(train) [9][1740/3842] lr: 6.7128e-03 eta: 0:53:59 time: 0.5042 data_time: 0.0173 memory: 10484 grad_norm: 0.1959 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8922 recall@top3: 0.8824 prec@top3: 0.8039 recall@top5: 0.9804 prec@top5: 0.5529 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 20:41:30 - mmengine - INFO - Epoch(train) [9][1760/3842] lr: 6.6691e-03 eta: 0:53:48 time: 0.5294 data_time: 0.0173 memory: 10484 grad_norm: 0.2035 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8222 recall@top3: 0.7333 prec@top3: 0.5778 recall@top5: 0.9167 prec@top5: 0.4267 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 20:41:41 - mmengine - INFO - Epoch(train) [9][1780/3842] lr: 6.6255e-03 eta: 0:53:37 time: 0.5112 data_time: 0.0178 memory: 10484 grad_norm: 0.2019 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9286 recall@top3: 0.9226 prec@top3: 0.8333 recall@top5: 0.9643 prec@top5: 0.5286 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 20:41:54 - mmengine - INFO - Epoch(train) [9][1800/3842] lr: 6.5821e-03 eta: 0:53:26 time: 0.6475 data_time: 0.0177 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.9444 recall@top3: 0.8056 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 20:42:05 - mmengine - INFO - Epoch(train) [9][1820/3842] lr: 6.5388e-03 eta: 0:53:15 time: 0.5551 data_time: 0.0187 memory: 10484 grad_norm: 0.2007 recall@thr=0.5: 0.6897 prec@thr=0.5: 0.8937 recall@top3: 0.7571 prec@top3: 0.6984 recall@top5: 0.9429 prec@top5: 0.5333 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 20:42:15 - mmengine - INFO - Epoch(train) [9][1840/3842] lr: 6.4956e-03 eta: 0:53:04 time: 0.5304 data_time: 0.0167 memory: 10484 grad_norm: 0.1952 recall@thr=0.5: 0.8687 prec@thr=0.5: 0.9583 recall@top3: 0.8719 prec@top3: 0.6875 recall@top5: 0.9844 prec@top5: 0.5125 loss_action_cls: 0.0319 loss: 0.0319 2022/08/10 20:42:26 - mmengine - INFO - Epoch(train) [9][1860/3842] lr: 6.4525e-03 eta: 0:52:53 time: 0.5271 data_time: 0.0173 memory: 10484 grad_norm: 0.1946 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.8241 recall@top3: 0.6852 prec@top3: 0.6481 recall@top5: 0.8148 prec@top5: 0.4778 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 20:42:36 - mmengine - INFO - Epoch(train) [9][1880/3842] lr: 6.4096e-03 eta: 0:52:42 time: 0.5294 data_time: 0.0178 memory: 10484 grad_norm: 0.2007 recall@thr=0.5: 0.9048 prec@thr=0.5: 0.9524 recall@top3: 1.0000 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 20:42:47 - mmengine - INFO - Epoch(train) [9][1900/3842] lr: 6.3668e-03 eta: 0:52:31 time: 0.5299 data_time: 0.0177 memory: 10484 grad_norm: 0.1993 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.7500 recall@top3: 0.8295 prec@top3: 0.5303 recall@top5: 0.8864 prec@top5: 0.3364 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 20:42:58 - mmengine - INFO - Epoch(train) [9][1920/3842] lr: 6.3241e-03 eta: 0:52:20 time: 0.5521 data_time: 0.0178 memory: 10484 grad_norm: 0.2038 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8659 recall@top3: 0.8478 prec@top3: 0.8406 recall@top5: 0.9891 prec@top5: 0.5913 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 20:43:09 - mmengine - INFO - Epoch(train) [9][1940/3842] lr: 6.2816e-03 eta: 0:52:09 time: 0.5255 data_time: 0.0210 memory: 10484 grad_norm: 0.2044 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.5937 recall@top3: 0.6562 prec@top3: 0.3958 recall@top5: 0.7396 prec@top5: 0.2750 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 20:43:19 - mmengine - INFO - Epoch(train) [9][1960/3842] lr: 6.2392e-03 eta: 0:51:59 time: 0.5421 data_time: 0.0202 memory: 10484 grad_norm: 0.2043 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8810 recall@top3: 0.9464 prec@top3: 0.6905 recall@top5: 0.9821 prec@top5: 0.4429 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 20:43:30 - mmengine - INFO - Epoch(train) [9][1980/3842] lr: 6.1969e-03 eta: 0:51:48 time: 0.5257 data_time: 0.0175 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8254 recall@top3: 0.8056 prec@top3: 0.7302 recall@top5: 0.9762 prec@top5: 0.5429 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 20:43:40 - mmengine - INFO - Epoch(train) [9][2000/3842] lr: 6.1548e-03 eta: 0:51:37 time: 0.5071 data_time: 0.0181 memory: 10484 grad_norm: 0.1966 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7333 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.8444 prec@top5: 0.4133 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 20:43:50 - mmengine - INFO - Epoch(train) [9][2020/3842] lr: 6.1128e-03 eta: 0:51:26 time: 0.5106 data_time: 0.0169 memory: 10484 grad_norm: 0.2011 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8904 recall@top3: 0.8070 prec@top3: 0.8421 recall@top5: 0.9123 prec@top5: 0.5789 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 20:44:01 - mmengine - INFO - Epoch(train) [9][2040/3842] lr: 6.0709e-03 eta: 0:51:15 time: 0.5159 data_time: 0.0189 memory: 10484 grad_norm: 0.2011 recall@thr=0.5: 0.9219 prec@thr=0.5: 0.8698 recall@top3: 0.9062 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 20:44:11 - mmengine - INFO - Epoch(train) [9][2060/3842] lr: 6.0291e-03 eta: 0:51:04 time: 0.5313 data_time: 0.0175 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8929 recall@top3: 0.8988 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 20:44:22 - mmengine - INFO - Epoch(train) [9][2080/3842] lr: 5.9875e-03 eta: 0:50:53 time: 0.5316 data_time: 0.0187 memory: 10484 grad_norm: 0.1953 recall@thr=0.5: 0.7926 prec@thr=0.5: 0.8889 recall@top3: 0.8667 prec@top3: 0.8889 recall@top5: 0.9889 prec@top5: 0.6111 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 20:44:32 - mmengine - INFO - Epoch(train) [9][2100/3842] lr: 5.9460e-03 eta: 0:50:42 time: 0.5079 data_time: 0.0184 memory: 10484 grad_norm: 0.1971 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8611 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4500 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 20:44:43 - mmengine - INFO - Epoch(train) [9][2120/3842] lr: 5.9047e-03 eta: 0:50:31 time: 0.5259 data_time: 0.0182 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.9118 prec@thr=0.5: 0.8333 recall@top3: 0.8676 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5529 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:44:54 - mmengine - INFO - Epoch(train) [9][2140/3842] lr: 5.8634e-03 eta: 0:50:20 time: 0.5588 data_time: 0.0234 memory: 10484 grad_norm: 0.1904 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.8646 recall@top3: 0.8594 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.4875 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 20:45:04 - mmengine - INFO - Epoch(train) [9][2160/3842] lr: 5.8223e-03 eta: 0:50:09 time: 0.5321 data_time: 0.0160 memory: 10484 grad_norm: 0.2033 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.9667 recall@top3: 0.9000 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4933 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 20:45:14 - mmengine - INFO - Epoch(train) [9][2180/3842] lr: 5.7814e-03 eta: 0:49:58 time: 0.5016 data_time: 0.0194 memory: 10484 grad_norm: 0.2044 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7667 recall@top3: 0.9333 prec@top3: 0.5111 recall@top5: 0.9556 prec@top5: 0.3200 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 20:45:26 - mmengine - INFO - Epoch(train) [9][2200/3842] lr: 5.7406e-03 eta: 0:49:47 time: 0.5633 data_time: 0.0246 memory: 10484 grad_norm: 0.1988 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.8846 recall@top3: 0.8718 prec@top3: 0.6154 recall@top5: 0.9744 prec@top5: 0.4308 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 20:45:36 - mmengine - INFO - Epoch(train) [9][2220/3842] lr: 5.6999e-03 eta: 0:49:36 time: 0.5239 data_time: 0.0187 memory: 10484 grad_norm: 0.2078 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8111 recall@top3: 0.8778 prec@top3: 0.7111 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 20:45:47 - mmengine - INFO - Epoch(train) [9][2240/3842] lr: 5.6593e-03 eta: 0:49:25 time: 0.5289 data_time: 0.0171 memory: 10484 grad_norm: 0.2002 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6000 recall@top3: 0.6111 prec@top3: 0.5556 recall@top5: 0.8500 prec@top5: 0.4667 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 20:45:58 - mmengine - INFO - Epoch(train) [9][2260/3842] lr: 5.6189e-03 eta: 0:49:14 time: 0.5693 data_time: 0.0195 memory: 10484 grad_norm: 0.2014 recall@thr=0.5: 0.8854 prec@thr=0.5: 0.7812 recall@top3: 0.9167 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 20:46:00 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 20:46:10 - mmengine - INFO - Epoch(train) [9][2280/3842] lr: 5.5786e-03 eta: 0:49:04 time: 0.5911 data_time: 0.0184 memory: 10484 grad_norm: 0.2068 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8056 recall@top3: 0.7861 prec@top3: 0.7500 recall@top5: 0.9583 prec@top5: 0.5667 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 20:46:21 - mmengine - INFO - Epoch(train) [9][2300/3842] lr: 5.5384e-03 eta: 0:48:53 time: 0.5498 data_time: 0.0252 memory: 10484 grad_norm: 0.1950 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.7500 recall@top5: 0.9792 prec@top5: 0.4875 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 20:46:31 - mmengine - INFO - Epoch(train) [9][2320/3842] lr: 5.4984e-03 eta: 0:48:42 time: 0.4980 data_time: 0.0168 memory: 10484 grad_norm: 0.1999 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.9167 recall@top3: 0.8958 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.3833 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 20:46:41 - mmengine - INFO - Epoch(train) [9][2340/3842] lr: 5.4585e-03 eta: 0:48:31 time: 0.5310 data_time: 0.0154 memory: 10484 grad_norm: 0.2001 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8148 recall@top3: 0.8009 prec@top3: 0.7963 recall@top5: 0.9491 prec@top5: 0.5778 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 20:46:53 - mmengine - INFO - Epoch(train) [9][2360/3842] lr: 5.4187e-03 eta: 0:48:20 time: 0.5632 data_time: 0.0215 memory: 10484 grad_norm: 0.2050 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7750 recall@top3: 0.8417 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:47:03 - mmengine - INFO - Epoch(train) [9][2380/3842] lr: 5.3791e-03 eta: 0:48:09 time: 0.5025 data_time: 0.0156 memory: 10484 grad_norm: 0.1958 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7460 recall@top3: 0.7778 prec@top3: 0.6825 recall@top5: 0.9643 prec@top5: 0.4952 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 20:47:13 - mmengine - INFO - Epoch(train) [9][2400/3842] lr: 5.3396e-03 eta: 0:47:58 time: 0.5247 data_time: 0.0173 memory: 10484 grad_norm: 0.1987 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.9561 recall@top3: 0.8246 prec@top3: 0.8246 recall@top5: 0.9825 prec@top5: 0.6000 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 20:47:25 - mmengine - INFO - Epoch(train) [9][2420/3842] lr: 5.3003e-03 eta: 0:47:47 time: 0.6057 data_time: 0.1033 memory: 10484 grad_norm: 0.2047 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8021 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:47:36 - mmengine - INFO - Epoch(train) [9][2440/3842] lr: 5.2610e-03 eta: 0:47:36 time: 0.5266 data_time: 0.0178 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.7944 recall@top3: 0.8056 prec@top3: 0.6222 recall@top5: 0.8889 prec@top5: 0.4267 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:47:47 - mmengine - INFO - Epoch(train) [9][2460/3842] lr: 5.2219e-03 eta: 0:47:25 time: 0.5292 data_time: 0.0184 memory: 10484 grad_norm: 0.2051 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7895 recall@top3: 0.8421 prec@top3: 0.7895 recall@top5: 0.8947 prec@top5: 0.5053 loss_action_cls: 0.0346 loss: 0.0346 2022/08/10 20:47:58 - mmengine - INFO - Epoch(train) [9][2480/3842] lr: 5.1830e-03 eta: 0:47:14 time: 0.5511 data_time: 0.0183 memory: 10484 grad_norm: 0.2042 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.7556 recall@top3: 0.8444 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 20:48:10 - mmengine - INFO - Epoch(train) [9][2500/3842] lr: 5.1442e-03 eta: 0:47:04 time: 0.5992 data_time: 0.1179 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.8810 recall@top3: 0.7190 prec@top3: 0.7143 recall@top5: 0.9000 prec@top5: 0.5714 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 20:48:20 - mmengine - INFO - Epoch(train) [9][2520/3842] lr: 5.1055e-03 eta: 0:46:53 time: 0.5403 data_time: 0.0152 memory: 10484 grad_norm: 0.1995 recall@thr=0.5: 0.8867 prec@thr=0.5: 0.8667 recall@top3: 0.8650 prec@top3: 0.7833 recall@top5: 0.9900 prec@top5: 0.5700 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 20:48:31 - mmengine - INFO - Epoch(train) [9][2540/3842] lr: 5.0669e-03 eta: 0:46:42 time: 0.5260 data_time: 0.0171 memory: 10484 grad_norm: 0.2053 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8333 recall@top3: 0.9531 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 20:48:41 - mmengine - INFO - Epoch(train) [9][2560/3842] lr: 5.0285e-03 eta: 0:46:31 time: 0.4995 data_time: 0.0187 memory: 10484 grad_norm: 0.2034 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8021 recall@top3: 0.9375 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 20:48:51 - mmengine - INFO - Epoch(train) [9][2580/3842] lr: 4.9902e-03 eta: 0:46:20 time: 0.5247 data_time: 0.0168 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.8796 prec@thr=0.5: 0.8380 recall@top3: 0.8796 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 20:49:02 - mmengine - INFO - Epoch(train) [9][2600/3842] lr: 4.9521e-03 eta: 0:46:09 time: 0.5224 data_time: 0.0172 memory: 10484 grad_norm: 0.1988 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.8333 recall@top3: 0.8833 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4600 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 20:49:12 - mmengine - INFO - Epoch(train) [9][2620/3842] lr: 4.9141e-03 eta: 0:45:58 time: 0.5308 data_time: 0.0171 memory: 10484 grad_norm: 0.2022 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.6222 recall@top3: 0.8278 prec@top3: 0.5111 recall@top5: 0.9556 prec@top5: 0.3600 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 20:49:23 - mmengine - INFO - Epoch(train) [9][2640/3842] lr: 4.8762e-03 eta: 0:45:47 time: 0.5359 data_time: 0.0195 memory: 10484 grad_norm: 0.2077 recall@thr=0.5: 0.9187 prec@thr=0.5: 0.8594 recall@top3: 0.9250 prec@top3: 0.7708 recall@top5: 0.9750 prec@top5: 0.5125 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 20:49:34 - mmengine - INFO - Epoch(train) [9][2660/3842] lr: 4.8385e-03 eta: 0:45:36 time: 0.5470 data_time: 0.0187 memory: 10484 grad_norm: 0.2056 recall@thr=0.5: 0.9012 prec@thr=0.5: 0.8571 recall@top3: 0.8833 prec@top3: 0.6429 recall@top5: 0.9571 prec@top5: 0.4429 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 20:49:45 - mmengine - INFO - Epoch(train) [9][2680/3842] lr: 4.8009e-03 eta: 0:45:25 time: 0.5292 data_time: 0.0183 memory: 10484 grad_norm: 0.2030 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8889 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.5067 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 20:49:55 - mmengine - INFO - Epoch(train) [9][2700/3842] lr: 4.7634e-03 eta: 0:45:14 time: 0.5264 data_time: 0.0179 memory: 10484 grad_norm: 0.2008 recall@thr=0.5: 0.7885 prec@thr=0.5: 0.8141 recall@top3: 0.8333 prec@top3: 0.6795 recall@top5: 0.9872 prec@top5: 0.4846 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 20:50:05 - mmengine - INFO - Epoch(train) [9][2720/3842] lr: 4.7261e-03 eta: 0:45:03 time: 0.5023 data_time: 0.0231 memory: 10484 grad_norm: 0.1977 recall@thr=0.5: 0.6883 prec@thr=0.5: 0.7625 recall@top3: 0.7850 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.5400 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 20:50:15 - mmengine - INFO - Epoch(train) [9][2740/3842] lr: 4.6889e-03 eta: 0:44:52 time: 0.5056 data_time: 0.0154 memory: 10484 grad_norm: 0.2076 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.6548 recall@top3: 0.8571 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 20:50:26 - mmengine - INFO - Epoch(train) [9][2760/3842] lr: 4.6519e-03 eta: 0:44:41 time: 0.5262 data_time: 0.0175 memory: 10484 grad_norm: 0.2033 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8250 recall@top3: 0.8333 prec@top3: 0.7000 recall@top5: 0.8583 prec@top5: 0.4400 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 20:50:38 - mmengine - INFO - Epoch(train) [9][2780/3842] lr: 4.6150e-03 eta: 0:44:31 time: 0.6305 data_time: 0.0205 memory: 10484 grad_norm: 0.1991 recall@thr=0.5: 0.6674 prec@thr=0.5: 0.7384 recall@top3: 0.7210 prec@top3: 0.6377 recall@top5: 0.9464 prec@top5: 0.5043 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 20:50:49 - mmengine - INFO - Epoch(train) [9][2800/3842] lr: 4.5782e-03 eta: 0:44:20 time: 0.5130 data_time: 0.0180 memory: 10484 grad_norm: 0.1963 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.9500 recall@top3: 0.8833 prec@top3: 0.8000 recall@top5: 0.9875 prec@top5: 0.5600 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 20:50:59 - mmengine - INFO - Epoch(train) [9][2820/3842] lr: 4.5416e-03 eta: 0:44:09 time: 0.5005 data_time: 0.0186 memory: 10484 grad_norm: 0.2094 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6979 recall@top3: 0.9167 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4125 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 20:51:09 - mmengine - INFO - Epoch(train) [9][2840/3842] lr: 4.5051e-03 eta: 0:43:58 time: 0.5294 data_time: 0.0164 memory: 10484 grad_norm: 0.2153 recall@thr=0.5: 0.5815 prec@thr=0.5: 0.8056 recall@top3: 0.6759 prec@top3: 0.6296 recall@top5: 0.8213 prec@top5: 0.5000 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 20:51:19 - mmengine - INFO - Epoch(train) [9][2860/3842] lr: 4.4687e-03 eta: 0:43:47 time: 0.5029 data_time: 0.0190 memory: 10484 grad_norm: 0.2030 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8444 recall@top3: 0.8111 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0339 loss: 0.0339 2022/08/10 20:51:30 - mmengine - INFO - Epoch(train) [9][2880/3842] lr: 4.4325e-03 eta: 0:43:36 time: 0.5348 data_time: 0.0182 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.9722 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4500 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 20:51:41 - mmengine - INFO - Epoch(train) [9][2900/3842] lr: 4.3964e-03 eta: 0:43:25 time: 0.5435 data_time: 0.0180 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.7344 recall@top3: 0.7188 prec@top3: 0.6042 recall@top5: 0.8229 prec@top5: 0.4375 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 20:51:53 - mmengine - INFO - Epoch(train) [9][2920/3842] lr: 4.3604e-03 eta: 0:43:14 time: 0.5901 data_time: 0.0165 memory: 10484 grad_norm: 0.1980 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7632 recall@top3: 0.7719 prec@top3: 0.6491 recall@top5: 0.8904 prec@top5: 0.4421 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 20:52:03 - mmengine - INFO - Epoch(train) [9][2940/3842] lr: 4.3246e-03 eta: 0:43:03 time: 0.5235 data_time: 0.0183 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8444 recall@top3: 0.9111 prec@top3: 0.5778 recall@top5: 0.9556 prec@top5: 0.3733 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 20:52:13 - mmengine - INFO - Epoch(train) [9][2960/3842] lr: 4.2890e-03 eta: 0:42:52 time: 0.5038 data_time: 0.0169 memory: 10484 grad_norm: 0.1944 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8750 recall@top3: 0.9635 prec@top3: 0.6875 recall@top5: 0.9792 prec@top5: 0.4250 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 20:52:24 - mmengine - INFO - Epoch(train) [9][2980/3842] lr: 4.2534e-03 eta: 0:42:41 time: 0.5577 data_time: 0.0170 memory: 10484 grad_norm: 0.1894 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.9545 recall@top3: 0.9242 prec@top3: 0.8788 recall@top5: 0.9848 prec@top5: 0.5818 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 20:52:35 - mmengine - INFO - Epoch(train) [9][3000/3842] lr: 4.2180e-03 eta: 0:42:30 time: 0.5248 data_time: 0.0177 memory: 10484 grad_norm: 0.2050 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8472 recall@top3: 0.8750 prec@top3: 0.7222 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 20:52:45 - mmengine - INFO - Epoch(train) [9][3020/3842] lr: 4.1828e-03 eta: 0:42:19 time: 0.5233 data_time: 0.0181 memory: 10484 grad_norm: 0.1996 recall@thr=0.5: 0.9394 prec@thr=0.5: 0.8939 recall@top3: 0.9697 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 20:52:56 - mmengine - INFO - Epoch(train) [9][3040/3842] lr: 4.1477e-03 eta: 0:42:08 time: 0.5092 data_time: 0.0187 memory: 10484 grad_norm: 0.1932 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7895 recall@top3: 0.8816 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4316 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 20:53:06 - mmengine - INFO - Epoch(train) [9][3060/3842] lr: 4.1127e-03 eta: 0:41:57 time: 0.5185 data_time: 0.0157 memory: 10484 grad_norm: 0.1964 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8214 recall@top3: 0.8810 prec@top3: 0.7381 recall@top5: 0.9405 prec@top5: 0.4714 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 20:53:17 - mmengine - INFO - Epoch(train) [9][3080/3842] lr: 4.0779e-03 eta: 0:41:47 time: 0.5516 data_time: 0.0175 memory: 10484 grad_norm: 0.2090 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7556 recall@top3: 0.7889 prec@top3: 0.6889 recall@top5: 0.9778 prec@top5: 0.5200 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 20:53:29 - mmengine - INFO - Epoch(train) [9][3100/3842] lr: 4.0432e-03 eta: 0:41:36 time: 0.5905 data_time: 0.0223 memory: 10484 grad_norm: 0.2102 recall@thr=0.5: 0.5469 prec@thr=0.5: 0.6042 recall@top3: 0.7240 prec@top3: 0.6250 recall@top5: 0.8021 prec@top5: 0.4250 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 20:53:39 - mmengine - INFO - Epoch(train) [9][3120/3842] lr: 4.0086e-03 eta: 0:41:25 time: 0.5292 data_time: 0.0170 memory: 10484 grad_norm: 0.2130 recall@thr=0.5: 0.5822 prec@thr=0.5: 0.8778 recall@top3: 0.7078 prec@top3: 0.6667 recall@top5: 0.9733 prec@top5: 0.5733 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 20:53:50 - mmengine - INFO - Epoch(train) [9][3140/3842] lr: 3.9742e-03 eta: 0:41:14 time: 0.5267 data_time: 0.0182 memory: 10484 grad_norm: 0.2033 recall@thr=0.5: 0.8467 prec@thr=0.5: 0.8967 recall@top3: 0.8400 prec@top3: 0.7733 recall@top5: 0.9067 prec@top5: 0.5120 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 20:54:00 - mmengine - INFO - Epoch(train) [9][3160/3842] lr: 3.9399e-03 eta: 0:41:03 time: 0.4995 data_time: 0.0180 memory: 10484 grad_norm: 0.2022 recall@thr=0.5: 0.7160 prec@thr=0.5: 0.7920 recall@top3: 0.7778 prec@top3: 0.6543 recall@top5: 0.9012 prec@top5: 0.4667 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 20:54:10 - mmengine - INFO - Epoch(train) [9][3180/3842] lr: 3.9058e-03 eta: 0:40:52 time: 0.5233 data_time: 0.0147 memory: 10484 grad_norm: 0.2109 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8810 recall@top3: 0.8810 prec@top3: 0.5476 recall@top5: 0.9286 prec@top5: 0.3571 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 20:54:20 - mmengine - INFO - Epoch(train) [9][3200/3842] lr: 3.8718e-03 eta: 0:40:41 time: 0.5018 data_time: 0.0165 memory: 10484 grad_norm: 0.2037 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9000 recall@top3: 0.8800 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 20:54:33 - mmengine - INFO - Epoch(train) [9][3220/3842] lr: 3.8379e-03 eta: 0:40:30 time: 0.6043 data_time: 0.0178 memory: 10484 grad_norm: 0.1934 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8846 recall@top3: 0.8462 prec@top3: 0.7179 recall@top5: 0.8654 prec@top5: 0.4462 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 20:54:44 - mmengine - INFO - Epoch(train) [9][3240/3842] lr: 3.8042e-03 eta: 0:40:19 time: 0.5687 data_time: 0.0171 memory: 10484 grad_norm: 0.2014 recall@thr=0.5: 0.7448 prec@thr=0.5: 0.7312 recall@top3: 0.7656 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 20:54:55 - mmengine - INFO - Epoch(train) [9][3260/3842] lr: 3.7707e-03 eta: 0:40:08 time: 0.5315 data_time: 0.0196 memory: 10484 grad_norm: 0.2039 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8631 recall@top3: 0.9286 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3571 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 20:54:57 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 20:55:05 - mmengine - INFO - Epoch(train) [9][3280/3842] lr: 3.7372e-03 eta: 0:39:57 time: 0.5023 data_time: 0.0165 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.9389 prec@thr=0.5: 0.8241 recall@top3: 0.9556 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:55:15 - mmengine - INFO - Epoch(train) [9][3300/3842] lr: 3.7039e-03 eta: 0:39:47 time: 0.5245 data_time: 0.0168 memory: 10484 grad_norm: 0.1903 recall@thr=0.5: 0.8854 prec@thr=0.5: 0.9219 recall@top3: 0.9271 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 20:55:27 - mmengine - INFO - Epoch(train) [9][3320/3842] lr: 3.6708e-03 eta: 0:39:36 time: 0.6144 data_time: 0.0187 memory: 10484 grad_norm: 0.2001 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.8636 recall@top3: 0.8333 prec@top3: 0.6818 recall@top5: 0.9697 prec@top5: 0.5000 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 20:55:39 - mmengine - INFO - Epoch(train) [9][3340/3842] lr: 3.6378e-03 eta: 0:39:25 time: 0.5634 data_time: 0.0180 memory: 10484 grad_norm: 0.1949 recall@thr=0.5: 0.6433 prec@thr=0.5: 0.7889 recall@top3: 0.7900 prec@top3: 0.7556 recall@top5: 0.9222 prec@top5: 0.5600 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 20:55:49 - mmengine - INFO - Epoch(train) [9][3360/3842] lr: 3.6049e-03 eta: 0:39:14 time: 0.5172 data_time: 0.0186 memory: 10484 grad_norm: 0.1936 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.7738 recall@top3: 0.8929 prec@top3: 0.6905 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 20:55:59 - mmengine - INFO - Epoch(train) [9][3380/3842] lr: 3.5722e-03 eta: 0:39:03 time: 0.5235 data_time: 0.0184 memory: 10484 grad_norm: 0.1906 recall@thr=0.5: 0.7679 prec@thr=0.5: 0.7952 recall@top3: 0.7798 prec@top3: 0.7381 recall@top5: 0.8571 prec@top5: 0.5000 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 20:56:10 - mmengine - INFO - Epoch(train) [9][3400/3842] lr: 3.5396e-03 eta: 0:38:52 time: 0.5308 data_time: 0.0164 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.5880 prec@thr=0.5: 0.7685 recall@top3: 0.7361 prec@top3: 0.7407 recall@top5: 0.9120 prec@top5: 0.5667 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 20:56:22 - mmengine - INFO - Epoch(train) [9][3420/3842] lr: 3.5072e-03 eta: 0:38:41 time: 0.5725 data_time: 0.0166 memory: 10484 grad_norm: 0.1932 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.9314 recall@top3: 0.9216 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5294 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 20:56:33 - mmengine - INFO - Epoch(train) [9][3440/3842] lr: 3.4749e-03 eta: 0:38:30 time: 0.5501 data_time: 0.0179 memory: 10484 grad_norm: 0.2067 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.8750 recall@top3: 0.8561 prec@top3: 0.7273 recall@top5: 0.9508 prec@top5: 0.5091 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 20:56:44 - mmengine - INFO - Epoch(train) [9][3460/3842] lr: 3.4427e-03 eta: 0:38:20 time: 0.5759 data_time: 0.0177 memory: 10484 grad_norm: 0.1947 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9048 recall@top3: 0.9286 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 20:56:54 - mmengine - INFO - Epoch(train) [9][3480/3842] lr: 3.4107e-03 eta: 0:38:09 time: 0.5020 data_time: 0.0165 memory: 10484 grad_norm: 0.2044 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.9000 recall@top3: 0.8778 prec@top3: 0.6222 recall@top5: 0.9556 prec@top5: 0.4133 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 20:57:05 - mmengine - INFO - Epoch(train) [9][3500/3842] lr: 3.3788e-03 eta: 0:37:58 time: 0.5598 data_time: 0.0173 memory: 10484 grad_norm: 0.2028 recall@thr=0.5: 0.8247 prec@thr=0.5: 0.9080 recall@top3: 0.9023 prec@top3: 0.8161 recall@top5: 0.9569 prec@top5: 0.5310 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 20:57:15 - mmengine - INFO - Epoch(train) [9][3520/3842] lr: 3.3471e-03 eta: 0:37:47 time: 0.5006 data_time: 0.0163 memory: 10484 grad_norm: 0.2047 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.6889 recall@top3: 0.6905 prec@top3: 0.5079 recall@top5: 0.9524 prec@top5: 0.4381 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 20:57:26 - mmengine - INFO - Epoch(train) [9][3540/3842] lr: 3.3155e-03 eta: 0:37:36 time: 0.5239 data_time: 0.0163 memory: 10484 grad_norm: 0.1983 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.8519 recall@top3: 0.8722 prec@top3: 0.7222 recall@top5: 0.9500 prec@top5: 0.4889 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 20:57:36 - mmengine - INFO - Epoch(train) [9][3560/3842] lr: 3.2841e-03 eta: 0:37:25 time: 0.5243 data_time: 0.0169 memory: 10484 grad_norm: 0.2016 recall@thr=0.5: 0.9158 prec@thr=0.5: 0.9123 recall@top3: 0.9053 prec@top3: 0.7895 recall@top5: 0.9737 prec@top5: 0.5368 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 20:57:48 - mmengine - INFO - Epoch(train) [9][3580/3842] lr: 3.2528e-03 eta: 0:37:14 time: 0.5761 data_time: 0.0187 memory: 10484 grad_norm: 0.1994 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.6556 recall@top3: 0.6778 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:57:59 - mmengine - INFO - Epoch(train) [9][3600/3842] lr: 3.2216e-03 eta: 0:37:03 time: 0.5586 data_time: 0.0170 memory: 10484 grad_norm: 0.1992 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8571 recall@top3: 0.8095 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.4571 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 20:58:10 - mmengine - INFO - Epoch(train) [9][3620/3842] lr: 3.1906e-03 eta: 0:36:52 time: 0.5304 data_time: 0.0187 memory: 10484 grad_norm: 0.1930 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.9231 recall@top3: 0.9615 prec@top3: 0.6154 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 20:58:20 - mmengine - INFO - Epoch(train) [9][3640/3842] lr: 3.1597e-03 eta: 0:36:41 time: 0.5393 data_time: 0.0164 memory: 10484 grad_norm: 0.2186 recall@thr=0.5: 0.7173 prec@thr=0.5: 0.7679 recall@top3: 0.7708 prec@top3: 0.6548 recall@top5: 0.8958 prec@top5: 0.4643 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 20:58:32 - mmengine - INFO - Epoch(train) [9][3660/3842] lr: 3.1290e-03 eta: 0:36:31 time: 0.5798 data_time: 0.0210 memory: 10484 grad_norm: 0.1945 recall@thr=0.5: 0.5245 prec@thr=0.5: 0.6373 recall@top3: 0.6765 prec@top3: 0.5686 recall@top5: 0.8235 prec@top5: 0.4235 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 20:58:42 - mmengine - INFO - Epoch(train) [9][3680/3842] lr: 3.0984e-03 eta: 0:36:20 time: 0.5250 data_time: 0.0178 memory: 10484 grad_norm: 0.1936 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8782 recall@top3: 0.9744 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 20:58:52 - mmengine - INFO - Epoch(train) [9][3700/3842] lr: 3.0680e-03 eta: 0:36:09 time: 0.5001 data_time: 0.0178 memory: 10484 grad_norm: 0.2044 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.8080 recall@top3: 0.7826 prec@top3: 0.7681 recall@top5: 0.9746 prec@top5: 0.5652 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 20:59:03 - mmengine - INFO - Epoch(train) [9][3720/3842] lr: 3.0377e-03 eta: 0:35:58 time: 0.5261 data_time: 0.0170 memory: 10484 grad_norm: 0.1998 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.9615 recall@top3: 0.9231 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.4462 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 20:59:14 - mmengine - INFO - Epoch(train) [9][3740/3842] lr: 3.0075e-03 eta: 0:35:47 time: 0.5328 data_time: 0.0163 memory: 10484 grad_norm: 0.2075 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9167 recall@top3: 0.8611 prec@top3: 0.8056 recall@top5: 0.9028 prec@top5: 0.5167 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 20:59:25 - mmengine - INFO - Epoch(train) [9][3760/3842] lr: 2.9775e-03 eta: 0:35:36 time: 0.5459 data_time: 0.0183 memory: 10484 grad_norm: 0.1985 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8958 recall@top3: 0.9271 prec@top3: 0.7500 recall@top5: 0.9792 prec@top5: 0.4750 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 20:59:35 - mmengine - INFO - Epoch(train) [9][3780/3842] lr: 2.9476e-03 eta: 0:35:25 time: 0.5285 data_time: 0.0158 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.7144 prec@thr=0.5: 0.7667 recall@top3: 0.7444 prec@top3: 0.6889 recall@top5: 0.8844 prec@top5: 0.4933 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 20:59:47 - mmengine - INFO - Epoch(train) [9][3800/3842] lr: 2.9179e-03 eta: 0:35:14 time: 0.5698 data_time: 0.0188 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8000 recall@top3: 0.8308 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.5100 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 20:59:57 - mmengine - INFO - Epoch(train) [9][3820/3842] lr: 2.8883e-03 eta: 0:35:03 time: 0.5260 data_time: 0.0181 memory: 10484 grad_norm: 0.2063 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.6944 recall@top3: 0.7444 prec@top3: 0.5333 recall@top5: 0.9556 prec@top5: 0.4400 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 21:00:08 - mmengine - INFO - Epoch(train) [9][3840/3842] lr: 2.8589e-03 eta: 0:34:52 time: 0.5347 data_time: 0.0172 memory: 10484 grad_norm: 0.1959 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7262 recall@top3: 0.7500 prec@top3: 0.7619 recall@top5: 0.8333 prec@top5: 0.5143 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 21:00:09 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 21:00:09 - mmengine - INFO - Epoch(train) [9][3842/3842] lr: 2.8560e-03 eta: 0:34:52 time: 0.5218 data_time: 0.0169 memory: 10484 grad_norm: 0.2031 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.7000 recall@top3: 0.6333 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.4800 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 21:00:09 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/10 21:00:16 - mmengine - INFO - Epoch(val) [9][20/6282] eta: 0:08:09 time: 0.0782 data_time: 0.0253 memory: 703 2022/08/10 21:00:17 - mmengine - INFO - Epoch(val) [9][40/6282] eta: 0:05:54 time: 0.0567 data_time: 0.0067 memory: 703 2022/08/10 21:00:18 - mmengine - INFO - Epoch(val) [9][60/6282] eta: 0:05:59 time: 0.0579 data_time: 0.0093 memory: 703 2022/08/10 21:00:19 - mmengine - INFO - Epoch(val) [9][80/6282] eta: 0:05:50 time: 0.0564 data_time: 0.0079 memory: 703 2022/08/10 21:00:20 - mmengine - INFO - Epoch(val) [9][100/6282] eta: 0:05:39 time: 0.0549 data_time: 0.0068 memory: 703 2022/08/10 21:00:21 - mmengine - INFO - Epoch(val) [9][120/6282] eta: 0:06:36 time: 0.0643 data_time: 0.0075 memory: 809 2022/08/10 21:00:23 - mmengine - INFO - Epoch(val) [9][140/6282] eta: 0:07:55 time: 0.0774 data_time: 0.0081 memory: 809 2022/08/10 21:00:25 - mmengine - INFO - Epoch(val) [9][160/6282] eta: 0:11:34 time: 0.1134 data_time: 0.0128 memory: 809 2022/08/10 21:00:27 - mmengine - INFO - Epoch(val) [9][180/6282] eta: 0:07:26 time: 0.0731 data_time: 0.0088 memory: 809 2022/08/10 21:00:28 - mmengine - INFO - Epoch(val) [9][200/6282] eta: 0:07:11 time: 0.0709 data_time: 0.0088 memory: 809 2022/08/10 21:00:29 - mmengine - INFO - Epoch(val) [9][220/6282] eta: 0:06:01 time: 0.0596 data_time: 0.0076 memory: 738 2022/08/10 21:00:30 - mmengine - INFO - Epoch(val) [9][240/6282] eta: 0:06:02 time: 0.0600 data_time: 0.0094 memory: 738 2022/08/10 21:00:32 - mmengine - INFO - Epoch(val) [9][260/6282] eta: 0:06:03 time: 0.0604 data_time: 0.0080 memory: 738 2022/08/10 21:00:33 - mmengine - INFO - Epoch(val) [9][280/6282] eta: 0:05:50 time: 0.0583 data_time: 0.0075 memory: 738 2022/08/10 21:00:35 - mmengine - INFO - Epoch(val) [9][300/6282] eta: 0:08:49 time: 0.0885 data_time: 0.0071 memory: 809 2022/08/10 21:00:36 - mmengine - INFO - Epoch(val) [9][320/6282] eta: 0:07:20 time: 0.0739 data_time: 0.0088 memory: 809 2022/08/10 21:00:38 - mmengine - INFO - Epoch(val) [9][340/6282] eta: 0:08:46 time: 0.0887 data_time: 0.0262 memory: 809 2022/08/10 21:00:40 - mmengine - INFO - Epoch(val) [9][360/6282] eta: 0:09:56 time: 0.1008 data_time: 0.0343 memory: 809 2022/08/10 21:00:42 - mmengine - INFO - Epoch(val) [9][380/6282] eta: 0:09:05 time: 0.0925 data_time: 0.0309 memory: 809 2022/08/10 21:00:44 - mmengine - INFO - Epoch(val) [9][400/6282] eta: 0:08:48 time: 0.0899 data_time: 0.0283 memory: 809 2022/08/10 21:00:45 - mmengine - INFO - Epoch(val) [9][420/6282] eta: 0:08:21 time: 0.0856 data_time: 0.0086 memory: 743 2022/08/10 21:00:46 - mmengine - INFO - Epoch(val) [9][440/6282] eta: 0:05:35 time: 0.0575 data_time: 0.0078 memory: 743 2022/08/10 21:00:48 - mmengine - INFO - Epoch(val) [9][460/6282] eta: 0:05:55 time: 0.0610 data_time: 0.0093 memory: 743 2022/08/10 21:00:49 - mmengine - INFO - Epoch(val) [9][480/6282] eta: 0:06:01 time: 0.0624 data_time: 0.0098 memory: 743 2022/08/10 21:00:50 - mmengine - INFO - Epoch(val) [9][500/6282] eta: 0:05:57 time: 0.0618 data_time: 0.0086 memory: 743 2022/08/10 21:00:51 - mmengine - INFO - Epoch(val) [9][520/6282] eta: 0:05:44 time: 0.0597 data_time: 0.0116 memory: 738 2022/08/10 21:00:53 - mmengine - INFO - Epoch(val) [9][540/6282] eta: 0:05:47 time: 0.0605 data_time: 0.0068 memory: 738 2022/08/10 21:00:54 - mmengine - INFO - Epoch(val) [9][560/6282] eta: 0:05:48 time: 0.0609 data_time: 0.0075 memory: 738 2022/08/10 21:00:55 - mmengine - INFO - Epoch(val) [9][580/6282] eta: 0:05:28 time: 0.0577 data_time: 0.0071 memory: 738 2022/08/10 21:00:57 - mmengine - INFO - Epoch(val) [9][600/6282] eta: 0:07:53 time: 0.0833 data_time: 0.0060 memory: 738 2022/08/10 21:00:58 - mmengine - INFO - Epoch(val) [9][620/6282] eta: 0:05:07 time: 0.0543 data_time: 0.0068 memory: 738 2022/08/10 21:00:59 - mmengine - INFO - Epoch(val) [9][640/6282] eta: 0:04:48 time: 0.0511 data_time: 0.0058 memory: 733 2022/08/10 21:01:00 - mmengine - INFO - Epoch(val) [9][660/6282] eta: 0:04:40 time: 0.0498 data_time: 0.0041 memory: 733 2022/08/10 21:01:01 - mmengine - INFO - Epoch(val) [9][680/6282] eta: 0:04:33 time: 0.0487 data_time: 0.0043 memory: 733 2022/08/10 21:01:02 - mmengine - INFO - Epoch(val) [9][700/6282] eta: 0:04:58 time: 0.0535 data_time: 0.0065 memory: 733 2022/08/10 21:01:10 - mmengine - INFO - Epoch(val) [9][720/6282] eta: 0:37:11 time: 0.4012 data_time: 0.3410 memory: 809 2022/08/10 21:01:12 - mmengine - INFO - Epoch(val) [9][740/6282] eta: 0:12:02 time: 0.1303 data_time: 0.0705 memory: 809 2022/08/10 21:01:16 - mmengine - INFO - Epoch(val) [9][760/6282] eta: 0:16:46 time: 0.1822 data_time: 0.1216 memory: 809 2022/08/10 21:01:19 - mmengine - INFO - Epoch(val) [9][780/6282] eta: 0:14:29 time: 0.1581 data_time: 0.0949 memory: 809 2022/08/10 21:01:23 - mmengine - INFO - Epoch(val) [9][800/6282] eta: 0:17:20 time: 0.1898 data_time: 0.1286 memory: 809 2022/08/10 21:01:25 - mmengine - INFO - Epoch(val) [9][820/6282] eta: 0:08:58 time: 0.0985 data_time: 0.0396 memory: 809 2022/08/10 21:01:26 - mmengine - INFO - Epoch(val) [9][840/6282] eta: 0:05:15 time: 0.0581 data_time: 0.0072 memory: 738 2022/08/10 21:01:27 - mmengine - INFO - Epoch(val) [9][860/6282] eta: 0:05:30 time: 0.0609 data_time: 0.0063 memory: 738 2022/08/10 21:01:29 - mmengine - INFO - Epoch(val) [9][880/6282] eta: 0:05:28 time: 0.0609 data_time: 0.0068 memory: 738 2022/08/10 21:01:30 - mmengine - INFO - Epoch(val) [9][900/6282] eta: 0:05:39 time: 0.0631 data_time: 0.0094 memory: 738 2022/08/10 21:01:31 - mmengine - INFO - Epoch(val) [9][920/6282] eta: 0:05:24 time: 0.0605 data_time: 0.0082 memory: 738 2022/08/10 21:01:32 - mmengine - INFO - Epoch(val) [9][940/6282] eta: 0:05:13 time: 0.0586 data_time: 0.0068 memory: 703 2022/08/10 21:01:33 - mmengine - INFO - Epoch(val) [9][960/6282] eta: 0:05:21 time: 0.0604 data_time: 0.0089 memory: 703 2022/08/10 21:01:36 - mmengine - INFO - Epoch(val) [9][980/6282] eta: 0:10:58 time: 0.1243 data_time: 0.0566 memory: 703 2022/08/10 21:01:37 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:06:37 time: 0.0753 data_time: 0.0294 memory: 703 2022/08/10 21:01:39 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:06:38 time: 0.0757 data_time: 0.0315 memory: 738 2022/08/10 21:01:41 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:07:52 time: 0.0902 data_time: 0.0417 memory: 738 2022/08/10 21:01:42 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:06:13 time: 0.0715 data_time: 0.0248 memory: 738 2022/08/10 21:01:43 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:04:36 time: 0.0532 data_time: 0.0041 memory: 738 2022/08/10 21:01:44 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:04:37 time: 0.0536 data_time: 0.0072 memory: 738 2022/08/10 21:01:45 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:04:39 time: 0.0542 data_time: 0.0057 memory: 738 2022/08/10 21:01:47 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:06:32 time: 0.0764 data_time: 0.0045 memory: 738 2022/08/10 21:01:48 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:04:58 time: 0.0583 data_time: 0.0061 memory: 738 2022/08/10 21:01:49 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:04:37 time: 0.0545 data_time: 0.0053 memory: 738 2022/08/10 21:01:50 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:04:37 time: 0.0547 data_time: 0.0058 memory: 738 2022/08/10 21:01:51 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:04:16 time: 0.0506 data_time: 0.0042 memory: 738 2022/08/10 21:01:54 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:11:18 time: 0.1346 data_time: 0.0747 memory: 809 2022/08/10 21:01:56 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:10:04 time: 0.1204 data_time: 0.0611 memory: 809 2022/08/10 21:02:00 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:16:03 time: 0.1926 data_time: 0.1340 memory: 809 2022/08/10 21:02:04 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:14:32 time: 0.1751 data_time: 0.1158 memory: 809 2022/08/10 21:02:08 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:15:52 time: 0.1919 data_time: 0.1310 memory: 809 2022/08/10 21:02:10 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:10:57 time: 0.1330 data_time: 0.0714 memory: 809 2022/08/10 21:02:14 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:15:11 time: 0.1853 data_time: 0.1070 memory: 809 2022/08/10 21:02:16 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:08:05 time: 0.0991 data_time: 0.0391 memory: 809 2022/08/10 21:02:19 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:13:30 time: 0.1660 data_time: 0.1038 memory: 809 2022/08/10 21:02:23 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:15:11 time: 0.1874 data_time: 0.1280 memory: 809 2022/08/10 21:02:25 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:07:24 time: 0.0919 data_time: 0.0261 memory: 809 2022/08/10 21:02:27 - mmengine - INFO - Epoch(val) [9][1460/6282] eta: 0:07:21 time: 0.0916 data_time: 0.0329 memory: 809 2022/08/10 21:02:29 - mmengine - INFO - Epoch(val) [9][1480/6282] eta: 0:07:23 time: 0.0923 data_time: 0.0318 memory: 809 2022/08/10 21:02:30 - mmengine - INFO - Epoch(val) [9][1500/6282] eta: 0:05:17 time: 0.0664 data_time: 0.0049 memory: 809 2022/08/10 21:02:31 - mmengine - INFO - Epoch(val) [9][1520/6282] eta: 0:05:33 time: 0.0700 data_time: 0.0097 memory: 911 2022/08/10 21:02:33 - mmengine - INFO - Epoch(val) [9][1540/6282] eta: 0:06:38 time: 0.0841 data_time: 0.0078 memory: 911 2022/08/10 21:02:35 - mmengine - INFO - Epoch(val) [9][1560/6282] eta: 0:06:27 time: 0.0820 data_time: 0.0079 memory: 911 2022/08/10 21:02:36 - mmengine - INFO - Epoch(val) [9][1580/6282] eta: 0:06:38 time: 0.0847 data_time: 0.0066 memory: 911 2022/08/10 21:02:38 - mmengine - INFO - Epoch(val) [9][1600/6282] eta: 0:06:23 time: 0.0819 data_time: 0.0076 memory: 911 2022/08/10 21:02:41 - mmengine - INFO - Epoch(val) [9][1620/6282] eta: 0:10:34 time: 0.1362 data_time: 0.0655 memory: 911 2022/08/10 21:02:42 - mmengine - INFO - Epoch(val) [9][1640/6282] eta: 0:06:06 time: 0.0790 data_time: 0.0228 memory: 809 2022/08/10 21:02:44 - mmengine - INFO - Epoch(val) [9][1660/6282] eta: 0:07:55 time: 0.1028 data_time: 0.0460 memory: 809 2022/08/10 21:02:46 - mmengine - INFO - Epoch(val) [9][1680/6282] eta: 0:04:42 time: 0.0614 data_time: 0.0045 memory: 809 2022/08/10 21:02:47 - mmengine - INFO - Epoch(val) [9][1700/6282] eta: 0:04:32 time: 0.0596 data_time: 0.0043 memory: 809 2022/08/10 21:02:49 - mmengine - INFO - Epoch(val) [9][1720/6282] eta: 0:07:05 time: 0.0932 data_time: 0.0063 memory: 809 2022/08/10 21:02:50 - mmengine - INFO - Epoch(val) [9][1740/6282] eta: 0:04:34 time: 0.0604 data_time: 0.0050 memory: 809 2022/08/10 21:02:51 - mmengine - INFO - Epoch(val) [9][1760/6282] eta: 0:04:50 time: 0.0643 data_time: 0.0069 memory: 809 2022/08/10 21:02:53 - mmengine - INFO - Epoch(val) [9][1780/6282] eta: 0:04:58 time: 0.0662 data_time: 0.0070 memory: 809 2022/08/10 21:02:54 - mmengine - INFO - Epoch(val) [9][1800/6282] eta: 0:05:13 time: 0.0699 data_time: 0.0088 memory: 809 2022/08/10 21:02:55 - mmengine - INFO - Epoch(val) [9][1820/6282] eta: 0:04:52 time: 0.0656 data_time: 0.0054 memory: 809 2022/08/10 21:02:57 - mmengine - INFO - Epoch(val) [9][1840/6282] eta: 0:06:09 time: 0.0831 data_time: 0.0243 memory: 809 2022/08/10 21:03:01 - mmengine - INFO - Epoch(val) [9][1860/6282] eta: 0:13:27 time: 0.1826 data_time: 0.1224 memory: 809 2022/08/10 21:03:04 - mmengine - INFO - Epoch(val) [9][1880/6282] eta: 0:13:19 time: 0.1816 data_time: 0.1218 memory: 809 2022/08/10 21:03:07 - mmengine - INFO - Epoch(val) [9][1900/6282] eta: 0:10:24 time: 0.1426 data_time: 0.0799 memory: 809 2022/08/10 21:03:11 - mmengine - INFO - Epoch(val) [9][1920/6282] eta: 0:13:06 time: 0.1804 data_time: 0.1191 memory: 809 2022/08/10 21:03:13 - mmengine - INFO - Epoch(val) [9][1940/6282] eta: 0:09:34 time: 0.1323 data_time: 0.0748 memory: 809 2022/08/10 21:03:15 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:05:39 time: 0.0786 data_time: 0.0265 memory: 743 2022/08/10 21:03:17 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:06:51 time: 0.0957 data_time: 0.0423 memory: 743 2022/08/10 21:03:18 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:04:33 time: 0.0638 data_time: 0.0087 memory: 743 2022/08/10 21:03:19 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:04:24 time: 0.0621 data_time: 0.0080 memory: 743 2022/08/10 21:03:21 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:04:32 time: 0.0643 data_time: 0.0091 memory: 743 2022/08/10 21:03:22 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:04:03 time: 0.0576 data_time: 0.0073 memory: 743 2022/08/10 21:03:23 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:04:25 time: 0.0632 data_time: 0.0099 memory: 743 2022/08/10 21:03:25 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:05:14 time: 0.0752 data_time: 0.0058 memory: 743 2022/08/10 21:03:26 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:04:02 time: 0.0583 data_time: 0.0083 memory: 743 2022/08/10 21:03:27 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:04:04 time: 0.0590 data_time: 0.0076 memory: 743 2022/08/10 21:03:28 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:03:53 time: 0.0565 data_time: 0.0069 memory: 738 2022/08/10 21:03:29 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:03:39 time: 0.0535 data_time: 0.0053 memory: 738 2022/08/10 21:03:30 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:03:51 time: 0.0567 data_time: 0.0060 memory: 738 2022/08/10 21:03:31 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:03:51 time: 0.0571 data_time: 0.0058 memory: 738 2022/08/10 21:03:33 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:03:45 time: 0.0559 data_time: 0.0062 memory: 738 2022/08/10 21:03:34 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:03:45 time: 0.0560 data_time: 0.0064 memory: 743 2022/08/10 21:03:35 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:03:38 time: 0.0547 data_time: 0.0049 memory: 743 2022/08/10 21:03:36 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:03:39 time: 0.0551 data_time: 0.0054 memory: 743 2022/08/10 21:03:37 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:03:40 time: 0.0557 data_time: 0.0058 memory: 743 2022/08/10 21:03:38 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:03:37 time: 0.0553 data_time: 0.0062 memory: 743 2022/08/10 21:03:39 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:03:28 time: 0.0533 data_time: 0.0052 memory: 738 2022/08/10 21:03:40 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:03:29 time: 0.0537 data_time: 0.0059 memory: 738 2022/08/10 21:03:41 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:03:25 time: 0.0529 data_time: 0.0061 memory: 738 2022/08/10 21:03:42 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:03:21 time: 0.0521 data_time: 0.0046 memory: 738 2022/08/10 21:03:43 - mmengine - INFO - Epoch(val) [9][2440/6282] eta: 0:03:22 time: 0.0526 data_time: 0.0048 memory: 738 2022/08/10 21:03:45 - mmengine - INFO - Epoch(val) [9][2460/6282] eta: 0:06:06 time: 0.0959 data_time: 0.0093 memory: 809 2022/08/10 21:03:47 - mmengine - INFO - Epoch(val) [9][2480/6282] eta: 0:04:07 time: 0.0652 data_time: 0.0061 memory: 809 2022/08/10 21:03:48 - mmengine - INFO - Epoch(val) [9][2500/6282] eta: 0:05:09 time: 0.0818 data_time: 0.0219 memory: 809 2022/08/10 21:03:50 - mmengine - INFO - Epoch(val) [9][2520/6282] eta: 0:05:48 time: 0.0925 data_time: 0.0314 memory: 809 2022/08/10 21:03:53 - mmengine - INFO - Epoch(val) [9][2540/6282] eta: 0:08:03 time: 0.1293 data_time: 0.0682 memory: 809 2022/08/10 21:03:56 - mmengine - INFO - Epoch(val) [9][2560/6282] eta: 0:08:40 time: 0.1399 data_time: 0.0762 memory: 809 2022/08/10 21:04:00 - mmengine - INFO - Epoch(val) [9][2580/6282] eta: 0:12:57 time: 0.2101 data_time: 0.1463 memory: 809 2022/08/10 21:04:03 - mmengine - INFO - Epoch(val) [9][2600/6282] eta: 0:08:40 time: 0.1415 data_time: 0.0819 memory: 809 2022/08/10 21:04:06 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:10:21 time: 0.1696 data_time: 0.0839 memory: 809 2022/08/10 21:04:09 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:08:06 time: 0.1335 data_time: 0.0753 memory: 809 2022/08/10 21:04:10 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:04:38 time: 0.0770 data_time: 0.0062 memory: 902 2022/08/10 21:04:12 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:04:34 time: 0.0762 data_time: 0.0052 memory: 902 2022/08/10 21:04:13 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:04:48 time: 0.0806 data_time: 0.0078 memory: 902 2022/08/10 21:04:15 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:04:49 time: 0.0814 data_time: 0.0076 memory: 902 2022/08/10 21:04:17 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:04:39 time: 0.0789 data_time: 0.0078 memory: 902 2022/08/10 21:04:18 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:03:29 time: 0.0596 data_time: 0.0063 memory: 743 2022/08/10 21:04:19 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:03:23 time: 0.0580 data_time: 0.0084 memory: 743 2022/08/10 21:04:20 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:03:34 time: 0.0616 data_time: 0.0087 memory: 743 2022/08/10 21:04:21 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:03:21 time: 0.0581 data_time: 0.0073 memory: 743 2022/08/10 21:04:22 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:03:22 time: 0.0589 data_time: 0.0080 memory: 743 2022/08/10 21:04:24 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:05:16 time: 0.0925 data_time: 0.0100 memory: 809 2022/08/10 21:04:26 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:04:03 time: 0.0715 data_time: 0.0079 memory: 809 2022/08/10 21:04:27 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:04:41 time: 0.0832 data_time: 0.0228 memory: 809 2022/08/10 21:04:29 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:04:08 time: 0.0739 data_time: 0.0172 memory: 809 2022/08/10 21:04:30 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:03:26 time: 0.0618 data_time: 0.0078 memory: 773 2022/08/10 21:04:31 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:03:39 time: 0.0660 data_time: 0.0130 memory: 773 2022/08/10 21:04:33 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:03:31 time: 0.0639 data_time: 0.0086 memory: 773 2022/08/10 21:04:34 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:03:19 time: 0.0607 data_time: 0.0069 memory: 773 2022/08/10 21:04:35 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:03:47 time: 0.0698 data_time: 0.0078 memory: 809 2022/08/10 21:04:37 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:03:43 time: 0.0689 data_time: 0.0085 memory: 809 2022/08/10 21:04:38 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:03:41 time: 0.0689 data_time: 0.0080 memory: 809 2022/08/10 21:04:40 - mmengine - INFO - Epoch(val) [9][3080/6282] eta: 0:03:51 time: 0.0724 data_time: 0.0081 memory: 809 2022/08/10 21:04:41 - mmengine - INFO - Epoch(val) [9][3100/6282] eta: 0:03:21 time: 0.0634 data_time: 0.0063 memory: 809 2022/08/10 21:04:42 - mmengine - INFO - Epoch(val) [9][3120/6282] eta: 0:03:13 time: 0.0610 data_time: 0.0102 memory: 743 2022/08/10 21:04:44 - mmengine - INFO - Epoch(val) [9][3140/6282] eta: 0:04:05 time: 0.0782 data_time: 0.0275 memory: 743 2022/08/10 21:04:46 - mmengine - INFO - Epoch(val) [9][3160/6282] eta: 0:04:52 time: 0.0938 data_time: 0.0189 memory: 743 2022/08/10 21:04:47 - mmengine - INFO - Epoch(val) [9][3180/6282] eta: 0:03:48 time: 0.0737 data_time: 0.0287 memory: 743 2022/08/10 21:04:49 - mmengine - INFO - Epoch(val) [9][3200/6282] eta: 0:05:44 time: 0.1116 data_time: 0.0561 memory: 809 2022/08/10 21:04:51 - mmengine - INFO - Epoch(val) [9][3220/6282] eta: 0:03:37 time: 0.0710 data_time: 0.0145 memory: 809 2022/08/10 21:04:52 - mmengine - INFO - Epoch(val) [9][3240/6282] eta: 0:03:56 time: 0.0776 data_time: 0.0179 memory: 809 2022/08/10 21:04:54 - mmengine - INFO - Epoch(val) [9][3260/6282] eta: 0:03:50 time: 0.0763 data_time: 0.0177 memory: 809 2022/08/10 21:04:55 - mmengine - INFO - Epoch(val) [9][3280/6282] eta: 0:03:36 time: 0.0720 data_time: 0.0114 memory: 809 2022/08/10 21:04:57 - mmengine - INFO - Epoch(val) [9][3300/6282] eta: 0:03:18 time: 0.0666 data_time: 0.0065 memory: 809 2022/08/10 21:04:58 - mmengine - INFO - Epoch(val) [9][3320/6282] eta: 0:03:48 time: 0.0771 data_time: 0.0221 memory: 809 2022/08/10 21:04:59 - mmengine - INFO - Epoch(val) [9][3340/6282] eta: 0:03:00 time: 0.0614 data_time: 0.0039 memory: 809 2022/08/10 21:05:01 - mmengine - INFO - Epoch(val) [9][3360/6282] eta: 0:03:07 time: 0.0643 data_time: 0.0070 memory: 809 2022/08/10 21:05:03 - mmengine - INFO - Epoch(val) [9][3380/6282] eta: 0:04:48 time: 0.0993 data_time: 0.0059 memory: 809 2022/08/10 21:05:04 - mmengine - INFO - Epoch(val) [9][3400/6282] eta: 0:02:51 time: 0.0593 data_time: 0.0079 memory: 738 2022/08/10 21:05:05 - mmengine - INFO - Epoch(val) [9][3420/6282] eta: 0:02:44 time: 0.0574 data_time: 0.0061 memory: 738 2022/08/10 21:05:06 - mmengine - INFO - Epoch(val) [9][3440/6282] eta: 0:02:56 time: 0.0621 data_time: 0.0105 memory: 738 2022/08/10 21:05:07 - mmengine - INFO - Epoch(val) [9][3460/6282] eta: 0:02:39 time: 0.0565 data_time: 0.0072 memory: 738 2022/08/10 21:05:08 - mmengine - INFO - Epoch(val) [9][3480/6282] eta: 0:02:29 time: 0.0535 data_time: 0.0058 memory: 738 2022/08/10 21:05:09 - mmengine - INFO - Epoch(val) [9][3500/6282] eta: 0:02:37 time: 0.0568 data_time: 0.0060 memory: 738 2022/08/10 21:05:11 - mmengine - INFO - Epoch(val) [9][3520/6282] eta: 0:02:36 time: 0.0567 data_time: 0.0056 memory: 738 2022/08/10 21:05:12 - mmengine - INFO - Epoch(val) [9][3540/6282] eta: 0:02:33 time: 0.0560 data_time: 0.0059 memory: 738 2022/08/10 21:05:13 - mmengine - INFO - Epoch(val) [9][3560/6282] eta: 0:02:34 time: 0.0567 data_time: 0.0060 memory: 738 2022/08/10 21:05:14 - mmengine - INFO - Epoch(val) [9][3580/6282] eta: 0:02:50 time: 0.0631 data_time: 0.0086 memory: 789 2022/08/10 21:05:15 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:02:44 time: 0.0613 data_time: 0.0085 memory: 789 2022/08/10 21:05:17 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:02:47 time: 0.0627 data_time: 0.0073 memory: 789 2022/08/10 21:05:18 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:02:47 time: 0.0634 data_time: 0.0069 memory: 789 2022/08/10 21:05:19 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:02:42 time: 0.0618 data_time: 0.0071 memory: 789 2022/08/10 21:05:20 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:02:49 time: 0.0653 data_time: 0.0079 memory: 809 2022/08/10 21:05:22 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:03:06 time: 0.0724 data_time: 0.0110 memory: 809 2022/08/10 21:05:24 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:03:49 time: 0.0898 data_time: 0.0318 memory: 809 2022/08/10 21:05:25 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:03:22 time: 0.0797 data_time: 0.0202 memory: 809 2022/08/10 21:05:27 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:03:33 time: 0.0845 data_time: 0.0253 memory: 809 2022/08/10 21:05:29 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:03:17 time: 0.0789 data_time: 0.0176 memory: 809 2022/08/10 21:05:30 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:03:46 time: 0.0912 data_time: 0.0314 memory: 809 2022/08/10 21:05:32 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:03:17 time: 0.0803 data_time: 0.0206 memory: 809 2022/08/10 21:05:36 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:07:35 time: 0.1867 data_time: 0.1034 memory: 809 2022/08/10 21:05:37 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:03:19 time: 0.0825 data_time: 0.0239 memory: 809 2022/08/10 21:05:39 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:03:41 time: 0.0921 data_time: 0.0335 memory: 809 2022/08/10 21:05:41 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:03:40 time: 0.0924 data_time: 0.0314 memory: 809 2022/08/10 21:05:43 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:03:07 time: 0.0792 data_time: 0.0172 memory: 809 2022/08/10 21:05:44 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:03:21 time: 0.0861 data_time: 0.0241 memory: 809 2022/08/10 21:05:46 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:03:03 time: 0.0788 data_time: 0.0176 memory: 809 2022/08/10 21:05:48 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:03:09 time: 0.0822 data_time: 0.0228 memory: 809 2022/08/10 21:05:49 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:02:37 time: 0.0688 data_time: 0.0072 memory: 809 2022/08/10 21:05:50 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:02:34 time: 0.0682 data_time: 0.0080 memory: 809 2022/08/10 21:05:52 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:02:35 time: 0.0695 data_time: 0.0058 memory: 902 2022/08/10 21:05:53 - mmengine - INFO - Epoch(val) [9][4060/6282] eta: 0:02:58 time: 0.0802 data_time: 0.0073 memory: 902 2022/08/10 21:05:56 - mmengine - INFO - Epoch(val) [9][4080/6282] eta: 0:03:56 time: 0.1073 data_time: 0.0086 memory: 902 2022/08/10 21:05:57 - mmengine - INFO - Epoch(val) [9][4100/6282] eta: 0:02:55 time: 0.0803 data_time: 0.0062 memory: 902 2022/08/10 21:05:59 - mmengine - INFO - Epoch(val) [9][4120/6282] eta: 0:02:54 time: 0.0805 data_time: 0.0086 memory: 902 2022/08/10 21:06:00 - mmengine - INFO - Epoch(val) [9][4140/6282] eta: 0:02:27 time: 0.0688 data_time: 0.0055 memory: 902 2022/08/10 21:06:03 - mmengine - INFO - Epoch(val) [9][4160/6282] eta: 0:04:36 time: 0.1304 data_time: 0.0834 memory: 738 2022/08/10 21:06:04 - mmengine - INFO - Epoch(val) [9][4180/6282] eta: 0:01:42 time: 0.0487 data_time: 0.0034 memory: 738 2022/08/10 21:06:05 - mmengine - INFO - Epoch(val) [9][4200/6282] eta: 0:02:44 time: 0.0789 data_time: 0.0317 memory: 738 2022/08/10 21:06:06 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:01:42 time: 0.0496 data_time: 0.0036 memory: 738 2022/08/10 21:06:07 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:01:46 time: 0.0523 data_time: 0.0062 memory: 738 2022/08/10 21:06:08 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:01:50 time: 0.0547 data_time: 0.0057 memory: 736 2022/08/10 21:06:10 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:01:54 time: 0.0570 data_time: 0.0075 memory: 736 2022/08/10 21:06:11 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:01:54 time: 0.0578 data_time: 0.0072 memory: 736 2022/08/10 21:06:12 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:01:55 time: 0.0588 data_time: 0.0077 memory: 736 2022/08/10 21:06:13 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:01:56 time: 0.0602 data_time: 0.0079 memory: 736 2022/08/10 21:06:15 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:02:27 time: 0.0765 data_time: 0.0075 memory: 809 2022/08/10 21:06:16 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:02:04 time: 0.0653 data_time: 0.0061 memory: 809 2022/08/10 21:06:18 - mmengine - INFO - Epoch(val) [9][4400/6282] eta: 0:02:22 time: 0.0756 data_time: 0.0108 memory: 809 2022/08/10 21:06:19 - mmengine - INFO - Epoch(val) [9][4420/6282] eta: 0:02:02 time: 0.0656 data_time: 0.0068 memory: 809 2022/08/10 21:06:21 - mmengine - INFO - Epoch(val) [9][4440/6282] eta: 0:03:53 time: 0.1269 data_time: 0.0716 memory: 816 2022/08/10 21:06:23 - mmengine - INFO - Epoch(val) [9][4460/6282] eta: 0:02:29 time: 0.0822 data_time: 0.0234 memory: 816 2022/08/10 21:06:25 - mmengine - INFO - Epoch(val) [9][4480/6282] eta: 0:02:17 time: 0.0761 data_time: 0.0191 memory: 816 2022/08/10 21:06:26 - mmengine - INFO - Epoch(val) [9][4500/6282] eta: 0:01:51 time: 0.0627 data_time: 0.0043 memory: 816 2022/08/10 21:06:27 - mmengine - INFO - Epoch(val) [9][4520/6282] eta: 0:01:53 time: 0.0643 data_time: 0.0071 memory: 816 2022/08/10 21:06:28 - mmengine - INFO - Epoch(val) [9][4540/6282] eta: 0:01:41 time: 0.0583 data_time: 0.0056 memory: 743 2022/08/10 21:06:29 - mmengine - INFO - Epoch(val) [9][4560/6282] eta: 0:01:43 time: 0.0601 data_time: 0.0082 memory: 743 2022/08/10 21:06:31 - mmengine - INFO - Epoch(val) [9][4580/6282] eta: 0:01:34 time: 0.0556 data_time: 0.0067 memory: 743 2022/08/10 21:06:32 - mmengine - INFO - Epoch(val) [9][4600/6282] eta: 0:01:41 time: 0.0603 data_time: 0.0073 memory: 743 2022/08/10 21:06:33 - 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mmengine - INFO - Epoch(val) [9][4800/6282] eta: 0:01:33 time: 0.0629 data_time: 0.0098 memory: 768 2022/08/10 21:06:51 - mmengine - INFO - Epoch(val) [9][4820/6282] eta: 0:01:39 time: 0.0679 data_time: 0.0106 memory: 809 2022/08/10 21:06:53 - mmengine - INFO - Epoch(val) [9][4840/6282] eta: 0:01:44 time: 0.0727 data_time: 0.0104 memory: 809 2022/08/10 21:06:55 - mmengine - INFO - Epoch(val) [9][4860/6282] eta: 0:02:22 time: 0.1002 data_time: 0.0083 memory: 809 2022/08/10 21:06:56 - mmengine - INFO - Epoch(val) [9][4880/6282] eta: 0:01:44 time: 0.0744 data_time: 0.0098 memory: 809 2022/08/10 21:06:58 - mmengine - INFO - Epoch(val) [9][4900/6282] eta: 0:01:44 time: 0.0754 data_time: 0.0090 memory: 809 2022/08/10 21:06:59 - mmengine - INFO - Epoch(val) [9][4920/6282] eta: 0:01:40 time: 0.0735 data_time: 0.0098 memory: 811 2022/08/10 21:07:01 - mmengine - INFO - Epoch(val) [9][4940/6282] eta: 0:01:37 time: 0.0727 data_time: 0.0069 memory: 811 2022/08/10 21:07:02 - mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:41 time: 0.0766 data_time: 0.0096 memory: 811 2022/08/10 21:07:03 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:33 time: 0.0720 data_time: 0.0098 memory: 811 2022/08/10 21:07:05 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:01:31 time: 0.0717 data_time: 0.0078 memory: 811 2022/08/10 21:07:06 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:01:13 time: 0.0583 data_time: 0.0056 memory: 811 2022/08/10 21:07:07 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:01:10 time: 0.0568 data_time: 0.0063 memory: 743 2022/08/10 21:07:08 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:01:08 time: 0.0561 data_time: 0.0062 memory: 743 2022/08/10 21:07:11 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:02:42 time: 0.1355 data_time: 0.0888 memory: 743 2022/08/10 21:07:13 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:01:29 time: 0.0761 data_time: 0.0290 memory: 743 2022/08/10 21:07:14 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:01:10 time: 0.0604 data_time: 0.0106 memory: 743 2022/08/10 21:07:16 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:01:38 time: 0.0859 data_time: 0.0075 memory: 738 2022/08/10 21:07:17 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:01:09 time: 0.0621 data_time: 0.0094 memory: 738 2022/08/10 21:07:18 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:01:03 time: 0.0572 data_time: 0.0069 memory: 738 2022/08/10 21:07:19 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:01:02 time: 0.0579 data_time: 0.0064 memory: 738 2022/08/10 21:07:20 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:01:04 time: 0.0611 data_time: 0.0106 memory: 738 2022/08/10 21:07:22 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:01:05 time: 0.0627 data_time: 0.0099 memory: 736 2022/08/10 21:07:23 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:01:02 time: 0.0608 data_time: 0.0079 memory: 736 2022/08/10 21:07:24 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:01:02 time: 0.0624 data_time: 0.0073 memory: 736 2022/08/10 21:07:25 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:01:00 time: 0.0613 data_time: 0.0083 memory: 736 2022/08/10 21:07:27 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:00:58 time: 0.0610 data_time: 0.0070 memory: 738 2022/08/10 21:07:28 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:00:56 time: 0.0598 data_time: 0.0074 memory: 738 2022/08/10 21:07:29 - mmengine - INFO - Epoch(val) [9][5360/6282] eta: 0:00:53 time: 0.0578 data_time: 0.0077 memory: 738 2022/08/10 21:07:30 - mmengine - INFO - Epoch(val) [9][5380/6282] eta: 0:00:53 time: 0.0598 data_time: 0.0101 memory: 738 2022/08/10 21:07:31 - mmengine - INFO - Epoch(val) [9][5400/6282] eta: 0:00:52 time: 0.0596 data_time: 0.0075 memory: 738 2022/08/10 21:07:32 - mmengine - INFO - Epoch(val) [9][5420/6282] eta: 0:00:52 time: 0.0606 data_time: 0.0081 memory: 738 2022/08/10 21:07:34 - mmengine - INFO - Epoch(val) [9][5440/6282] eta: 0:00:49 time: 0.0590 data_time: 0.0077 memory: 738 2022/08/10 21:07:35 - mmengine - INFO - Epoch(val) [9][5460/6282] eta: 0:00:52 time: 0.0637 data_time: 0.0075 memory: 738 2022/08/10 21:07:36 - mmengine - INFO - Epoch(val) [9][5480/6282] eta: 0:00:45 time: 0.0561 data_time: 0.0054 memory: 738 2022/08/10 21:07:37 - mmengine - INFO - Epoch(val) [9][5500/6282] eta: 0:00:41 time: 0.0528 data_time: 0.0058 memory: 738 2022/08/10 21:07:38 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:44 time: 0.0589 data_time: 0.0070 memory: 763 2022/08/10 21:07:40 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:45 time: 0.0619 data_time: 0.0077 memory: 763 2022/08/10 21:07:41 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:44 time: 0.0623 data_time: 0.0088 memory: 763 2022/08/10 21:07:42 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:44 time: 0.0633 data_time: 0.0079 memory: 763 2022/08/10 21:07:43 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:41 time: 0.0605 data_time: 0.0082 memory: 763 2022/08/10 21:07:44 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:38 time: 0.0577 data_time: 0.0067 memory: 763 2022/08/10 21:07:46 - mmengine - INFO - Epoch(val) [9][5640/6282] eta: 0:00:49 time: 0.0768 data_time: 0.0296 memory: 738 2022/08/10 21:07:53 - mmengine - INFO - Epoch(val) [9][5660/6282] eta: 0:03:41 time: 0.3565 data_time: 0.3074 memory: 738 2022/08/10 21:07:54 - mmengine - INFO - Epoch(val) [9][5680/6282] eta: 0:00:31 time: 0.0531 data_time: 0.0046 memory: 738 2022/08/10 21:07:55 - mmengine - INFO - Epoch(val) [9][5700/6282] eta: 0:00:34 time: 0.0585 data_time: 0.0075 memory: 738 2022/08/10 21:07:56 - mmengine - INFO - Epoch(val) [9][5720/6282] eta: 0:00:31 time: 0.0566 data_time: 0.0065 memory: 780 2022/08/10 21:07:58 - mmengine - INFO - Epoch(val) [9][5740/6282] eta: 0:00:30 time: 0.0557 data_time: 0.0060 memory: 780 2022/08/10 21:07:59 - mmengine - INFO - Epoch(val) [9][5760/6282] eta: 0:00:29 time: 0.0572 data_time: 0.0066 memory: 780 2022/08/10 21:08:00 - mmengine - INFO - Epoch(val) [9][5780/6282] eta: 0:00:29 time: 0.0579 data_time: 0.0046 memory: 780 2022/08/10 21:08:01 - mmengine - INFO - Epoch(val) [9][5800/6282] eta: 0:00:27 time: 0.0575 data_time: 0.0067 memory: 780 2022/08/10 21:08:02 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:25 time: 0.0562 data_time: 0.0055 memory: 780 2022/08/10 21:08:03 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:24 time: 0.0565 data_time: 0.0062 memory: 763 2022/08/10 21:08:04 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:21 time: 0.0510 data_time: 0.0041 memory: 763 2022/08/10 21:08:05 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:20 time: 0.0503 data_time: 0.0037 memory: 763 2022/08/10 21:08:06 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:18 time: 0.0488 data_time: 0.0035 memory: 763 2022/08/10 21:08:07 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:17 time: 0.0480 data_time: 0.0034 memory: 763 2022/08/10 21:08:08 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:15 time: 0.0456 data_time: 0.0033 memory: 738 2022/08/10 21:08:09 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:14 time: 0.0457 data_time: 0.0035 memory: 738 2022/08/10 21:08:10 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:13 time: 0.0448 data_time: 0.0030 memory: 738 2022/08/10 21:08:11 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:14 time: 0.0531 data_time: 0.0040 memory: 809 2022/08/10 21:08:12 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:14 time: 0.0557 data_time: 0.0041 memory: 809 2022/08/10 21:08:13 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:13 time: 0.0554 data_time: 0.0043 memory: 809 2022/08/10 21:08:15 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:17 time: 0.0799 data_time: 0.0086 memory: 809 2022/08/10 21:08:16 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:11 time: 0.0565 data_time: 0.0044 memory: 809 2022/08/10 21:08:17 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:09 time: 0.0548 data_time: 0.0035 memory: 809 2022/08/10 21:08:18 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:08 time: 0.0551 data_time: 0.0037 memory: 809 2022/08/10 21:08:19 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:07 time: 0.0554 data_time: 0.0044 memory: 809 2022/08/10 21:08:21 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:07 time: 0.0600 data_time: 0.0085 memory: 809 2022/08/10 21:08:22 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:05 time: 0.0586 data_time: 0.0077 memory: 809 2022/08/10 21:08:23 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:04 time: 0.0543 data_time: 0.0033 memory: 809 2022/08/10 21:08:24 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:03 time: 0.0549 data_time: 0.0039 memory: 809 2022/08/10 21:08:25 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:02 time: 0.0587 data_time: 0.0041 memory: 809 2022/08/10 21:08:26 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:01 time: 0.0546 data_time: 0.0037 memory: 809 2022/08/10 21:08:27 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0548 data_time: 0.0037 memory: 809 2022/08/10 21:12:58 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.2590 2022/08/10 21:13:13 - mmengine - INFO - Epoch(train) [10][20/3842] lr: 2.8267e-03 eta: 0:34:40 time: 0.6445 data_time: 0.1320 memory: 10484 grad_norm: 0.1951 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.8583 recall@top3: 0.6917 prec@top3: 0.7000 recall@top5: 0.9375 prec@top5: 0.5500 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 21:13:23 - mmengine - INFO - Epoch(train) [10][40/3842] lr: 2.7976e-03 eta: 0:34:30 time: 0.5320 data_time: 0.0246 memory: 10484 grad_norm: 0.1911 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7604 recall@top3: 0.8021 prec@top3: 0.5833 recall@top5: 0.8438 prec@top5: 0.3750 loss_action_cls: 0.0291 loss: 0.0291 2022/08/10 21:13:34 - mmengine - INFO - Epoch(train) [10][60/3842] lr: 2.7686e-03 eta: 0:34:19 time: 0.5215 data_time: 0.0150 memory: 10484 grad_norm: 0.2001 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8500 recall@top3: 0.7875 prec@top3: 0.7167 recall@top5: 0.9750 prec@top5: 0.5700 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 21:13:44 - mmengine - INFO - Epoch(train) [10][80/3842] lr: 2.7398e-03 eta: 0:34:08 time: 0.5257 data_time: 0.0191 memory: 10484 grad_norm: 0.2022 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8981 recall@top3: 0.8333 prec@top3: 0.9074 recall@top5: 0.9537 prec@top5: 0.6333 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 21:13:55 - mmengine - INFO - Epoch(train) [10][100/3842] lr: 2.7111e-03 eta: 0:33:57 time: 0.5249 data_time: 0.0173 memory: 10484 grad_norm: 0.1892 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.9833 recall@top3: 0.9542 prec@top3: 0.9333 recall@top5: 0.9833 prec@top5: 0.5800 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 21:14:05 - mmengine - INFO - Epoch(train) [10][120/3842] lr: 2.6825e-03 eta: 0:33:46 time: 0.5239 data_time: 0.0172 memory: 10484 grad_norm: 0.2029 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6574 recall@top3: 0.8380 prec@top3: 0.6111 recall@top5: 0.9630 prec@top5: 0.4222 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 21:14:16 - mmengine - INFO - Epoch(train) [10][140/3842] lr: 2.6541e-03 eta: 0:33:35 time: 0.5215 data_time: 0.0181 memory: 10484 grad_norm: 0.2096 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8333 recall@top3: 0.6842 prec@top3: 0.7719 recall@top5: 0.8860 prec@top5: 0.5895 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 21:14:26 - mmengine - INFO - Epoch(train) [10][160/3842] lr: 2.6259e-03 eta: 0:33:24 time: 0.5295 data_time: 0.0180 memory: 10484 grad_norm: 0.2058 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8889 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.9778 prec@top5: 0.5067 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 21:14:37 - mmengine - INFO - Epoch(train) [10][180/3842] lr: 2.5978e-03 eta: 0:33:13 time: 0.5415 data_time: 0.0197 memory: 10484 grad_norm: 0.1888 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7619 recall@top3: 0.9345 prec@top3: 0.6905 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 21:14:48 - mmengine - INFO - Epoch(train) [10][200/3842] lr: 2.5698e-03 eta: 0:33:02 time: 0.5308 data_time: 0.0172 memory: 10484 grad_norm: 0.1967 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9583 recall@top3: 0.8500 prec@top3: 0.8833 recall@top5: 0.9375 prec@top5: 0.5900 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 21:14:58 - mmengine - INFO - Epoch(train) [10][220/3842] lr: 2.5420e-03 eta: 0:32:51 time: 0.5020 data_time: 0.0186 memory: 10484 grad_norm: 0.2020 recall@thr=0.5: 0.7556 prec@thr=0.5: 1.0000 recall@top3: 0.9222 prec@top3: 0.8667 recall@top5: 1.0000 prec@top5: 0.5733 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 21:15:08 - mmengine - INFO - Epoch(train) [10][240/3842] lr: 2.5143e-03 eta: 0:32:40 time: 0.5250 data_time: 0.0165 memory: 10484 grad_norm: 0.2073 recall@thr=0.5: 0.8633 prec@thr=0.5: 0.8933 recall@top3: 0.8900 prec@top3: 0.6400 recall@top5: 0.9567 prec@top5: 0.4240 loss_action_cls: 0.0336 loss: 0.0336 2022/08/10 21:15:19 - mmengine - INFO - Epoch(train) [10][260/3842] lr: 2.4868e-03 eta: 0:32:29 time: 0.5271 data_time: 0.0172 memory: 10484 grad_norm: 0.2055 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.8292 recall@top3: 0.8292 prec@top3: 0.8000 recall@top5: 0.9167 prec@top5: 0.5300 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 21:15:30 - mmengine - INFO - Epoch(train) [10][280/3842] lr: 2.4594e-03 eta: 0:32:18 time: 0.5481 data_time: 0.0214 memory: 10484 grad_norm: 0.1969 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.8974 recall@top3: 0.8333 prec@top3: 0.5897 recall@top5: 0.9038 prec@top5: 0.4000 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 21:15:40 - mmengine - INFO - Epoch(train) [10][300/3842] lr: 2.4322e-03 eta: 0:32:08 time: 0.5244 data_time: 0.0148 memory: 10484 grad_norm: 0.1924 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8824 recall@top3: 0.9412 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 21:15:51 - mmengine - INFO - Epoch(train) [10][320/3842] lr: 2.4051e-03 eta: 0:31:57 time: 0.5525 data_time: 0.0185 memory: 10484 grad_norm: 0.2023 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7167 recall@top3: 0.8417 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 21:16:02 - mmengine - INFO - Epoch(train) [10][340/3842] lr: 2.3782e-03 eta: 0:31:46 time: 0.5252 data_time: 0.0181 memory: 10484 grad_norm: 0.1984 recall@thr=0.5: 0.6573 prec@thr=0.5: 0.8125 recall@top3: 0.8094 prec@top3: 0.8125 recall@top5: 0.9073 prec@top5: 0.5750 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 21:16:12 - mmengine - INFO - Epoch(train) [10][360/3842] lr: 2.3514e-03 eta: 0:31:35 time: 0.5236 data_time: 0.0167 memory: 10484 grad_norm: 0.1990 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7031 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.9479 prec@top5: 0.4125 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 21:16:22 - mmengine - INFO - Epoch(train) [10][380/3842] lr: 2.3247e-03 eta: 0:31:24 time: 0.5022 data_time: 0.0160 memory: 10484 grad_norm: 0.1966 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.9583 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 21:16:33 - mmengine - INFO - Epoch(train) [10][400/3842] lr: 2.2982e-03 eta: 0:31:13 time: 0.5255 data_time: 0.0166 memory: 10484 grad_norm: 0.2042 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6167 recall@top3: 0.6667 prec@top3: 0.5667 recall@top5: 0.6667 prec@top5: 0.3400 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 21:16:44 - mmengine - INFO - Epoch(train) [10][420/3842] lr: 2.2719e-03 eta: 0:31:02 time: 0.5311 data_time: 0.0171 memory: 10484 grad_norm: 0.2034 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8542 recall@top3: 0.8073 prec@top3: 0.7500 recall@top5: 0.9688 prec@top5: 0.5250 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 21:16:45 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 21:16:54 - mmengine - INFO - Epoch(train) [10][440/3842] lr: 2.2457e-03 eta: 0:30:51 time: 0.5492 data_time: 0.0189 memory: 10484 grad_norm: 0.1928 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6478 recall@top3: 0.7667 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.5067 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 21:17:07 - mmengine - INFO - Epoch(train) [10][460/3842] lr: 2.2196e-03 eta: 0:30:40 time: 0.6011 data_time: 0.0171 memory: 10484 grad_norm: 0.2030 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7917 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 21:17:17 - mmengine - INFO - Epoch(train) [10][480/3842] lr: 2.1937e-03 eta: 0:30:29 time: 0.5394 data_time: 0.0169 memory: 10484 grad_norm: 0.2005 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8778 recall@top3: 0.8556 prec@top3: 0.5333 recall@top5: 0.9778 prec@top5: 0.3867 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 21:17:28 - mmengine - INFO - Epoch(train) [10][500/3842] lr: 2.1680e-03 eta: 0:30:19 time: 0.5241 data_time: 0.0187 memory: 10484 grad_norm: 0.2013 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8333 recall@top3: 0.8657 prec@top3: 0.6852 recall@top5: 0.8843 prec@top5: 0.4222 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 21:17:38 - mmengine - INFO - Epoch(train) [10][520/3842] lr: 2.1423e-03 eta: 0:30:08 time: 0.5279 data_time: 0.0173 memory: 10484 grad_norm: 0.2077 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7941 recall@top3: 0.7451 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.4471 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 21:17:49 - mmengine - INFO - Epoch(train) [10][540/3842] lr: 2.1169e-03 eta: 0:29:57 time: 0.5324 data_time: 0.0177 memory: 10484 grad_norm: 0.2007 recall@thr=0.5: 0.6231 prec@thr=0.5: 0.6731 recall@top3: 0.6756 prec@top3: 0.5897 recall@top5: 0.9038 prec@top5: 0.5231 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 21:18:00 - mmengine - INFO - Epoch(train) [10][560/3842] lr: 2.0916e-03 eta: 0:29:46 time: 0.5257 data_time: 0.0226 memory: 10484 grad_norm: 0.1986 recall@thr=0.5: 0.8179 prec@thr=0.5: 0.8923 recall@top3: 0.8154 prec@top3: 0.7692 recall@top5: 0.9615 prec@top5: 0.5538 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 21:18:10 - mmengine - INFO - Epoch(train) [10][580/3842] lr: 2.0664e-03 eta: 0:29:35 time: 0.5257 data_time: 0.0166 memory: 10484 grad_norm: 0.2041 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.5444 recall@top3: 0.8667 prec@top3: 0.6667 recall@top5: 0.9833 prec@top5: 0.4667 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 21:18:21 - mmengine - INFO - Epoch(train) [10][600/3842] lr: 2.0414e-03 eta: 0:29:24 time: 0.5249 data_time: 0.0181 memory: 10484 grad_norm: 0.2040 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6538 recall@top3: 0.6923 prec@top3: 0.6410 recall@top5: 0.9359 prec@top5: 0.4923 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 21:18:31 - mmengine - INFO - Epoch(train) [10][620/3842] lr: 2.0165e-03 eta: 0:29:13 time: 0.4991 data_time: 0.0159 memory: 10484 grad_norm: 0.1950 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.9359 recall@top3: 1.0000 prec@top3: 0.7692 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 21:18:41 - mmengine - INFO - Epoch(train) [10][640/3842] lr: 1.9918e-03 eta: 0:29:02 time: 0.5268 data_time: 0.0152 memory: 10484 grad_norm: 0.2019 recall@thr=0.5: 0.9500 prec@thr=0.5: 0.8633 recall@top3: 0.9250 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 21:18:51 - mmengine - INFO - Epoch(train) [10][660/3842] lr: 1.9672e-03 eta: 0:28:51 time: 0.5221 data_time: 0.0169 memory: 10484 grad_norm: 0.1927 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8333 recall@top3: 1.0000 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 21:19:02 - mmengine - INFO - Epoch(train) [10][680/3842] lr: 1.9428e-03 eta: 0:28:40 time: 0.5300 data_time: 0.0162 memory: 10484 grad_norm: 0.1988 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.5714 recall@top3: 0.8452 prec@top3: 0.6905 recall@top5: 0.9464 prec@top5: 0.4714 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 21:19:13 - mmengine - INFO - Epoch(train) [10][700/3842] lr: 1.9185e-03 eta: 0:28:29 time: 0.5473 data_time: 0.0173 memory: 10484 grad_norm: 0.2023 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9048 recall@top3: 0.9048 prec@top3: 0.7619 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 21:19:24 - mmengine - INFO - Epoch(train) [10][720/3842] lr: 1.8943e-03 eta: 0:28:18 time: 0.5314 data_time: 0.0185 memory: 10484 grad_norm: 0.2128 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6500 recall@top3: 0.6333 prec@top3: 0.4667 recall@top5: 0.9167 prec@top5: 0.4800 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 21:19:34 - mmengine - INFO - Epoch(train) [10][740/3842] lr: 1.8704e-03 eta: 0:28:08 time: 0.5270 data_time: 0.0203 memory: 10484 grad_norm: 0.2006 recall@thr=0.5: 0.6794 prec@thr=0.5: 0.6841 recall@top3: 0.7397 prec@top3: 0.6984 recall@top5: 0.9841 prec@top5: 0.5619 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 21:19:45 - mmengine - INFO - Epoch(train) [10][760/3842] lr: 1.8465e-03 eta: 0:27:57 time: 0.5386 data_time: 0.0174 memory: 10484 grad_norm: 0.2023 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7614 recall@top3: 0.7342 prec@top3: 0.5614 recall@top5: 0.8421 prec@top5: 0.4105 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 21:19:56 - mmengine - INFO - Epoch(train) [10][780/3842] lr: 1.8228e-03 eta: 0:27:46 time: 0.5296 data_time: 0.0159 memory: 10484 grad_norm: 0.2070 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5556 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 21:20:06 - mmengine - INFO - Epoch(train) [10][800/3842] lr: 1.7993e-03 eta: 0:27:35 time: 0.5202 data_time: 0.0188 memory: 10484 grad_norm: 0.1929 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.9103 recall@top3: 0.7262 prec@top3: 0.6923 recall@top5: 0.7930 prec@top5: 0.4769 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 21:20:17 - mmengine - INFO - Epoch(train) [10][820/3842] lr: 1.7759e-03 eta: 0:27:24 time: 0.5266 data_time: 0.0151 memory: 10484 grad_norm: 0.2011 recall@thr=0.5: 0.8884 prec@thr=0.5: 0.9203 recall@top3: 0.8928 prec@top3: 0.8841 recall@top5: 1.0000 prec@top5: 0.6174 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 21:20:28 - mmengine - INFO - Epoch(train) [10][840/3842] lr: 1.7527e-03 eta: 0:27:13 time: 0.5518 data_time: 0.0167 memory: 10484 grad_norm: 0.1980 recall@thr=0.5: 0.6422 prec@thr=0.5: 0.8333 recall@top3: 0.7647 prec@top3: 0.7843 recall@top5: 0.9559 prec@top5: 0.6118 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 21:20:38 - mmengine - INFO - Epoch(train) [10][860/3842] lr: 1.7296e-03 eta: 0:27:02 time: 0.5062 data_time: 0.0230 memory: 10484 grad_norm: 0.2073 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8889 recall@top3: 0.8542 prec@top3: 0.7222 recall@top5: 0.8958 prec@top5: 0.4667 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 21:20:48 - mmengine - INFO - Epoch(train) [10][880/3842] lr: 1.7067e-03 eta: 0:26:51 time: 0.5270 data_time: 0.0174 memory: 10484 grad_norm: 0.2033 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7111 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9667 prec@top5: 0.3867 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 21:20:59 - mmengine - INFO - Epoch(train) [10][900/3842] lr: 1.6839e-03 eta: 0:26:40 time: 0.5242 data_time: 0.0162 memory: 10484 grad_norm: 0.1997 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9048 recall@top3: 0.8452 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 21:21:09 - mmengine - INFO - Epoch(train) [10][920/3842] lr: 1.6612e-03 eta: 0:26:29 time: 0.5339 data_time: 0.0186 memory: 10484 grad_norm: 0.2054 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.9123 recall@top3: 0.8860 prec@top3: 0.8070 recall@top5: 0.9518 prec@top5: 0.5368 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 21:21:20 - mmengine - INFO - Epoch(train) [10][940/3842] lr: 1.6387e-03 eta: 0:26:18 time: 0.5224 data_time: 0.0177 memory: 10484 grad_norm: 0.2013 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8190 recall@top3: 0.8393 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 21:21:30 - mmengine - INFO - Epoch(train) [10][960/3842] lr: 1.6164e-03 eta: 0:26:07 time: 0.5025 data_time: 0.0176 memory: 10484 grad_norm: 0.2090 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7187 recall@top3: 0.7525 prec@top3: 0.6869 recall@top5: 0.8712 prec@top5: 0.4848 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 21:21:40 - mmengine - INFO - Epoch(train) [10][980/3842] lr: 1.5942e-03 eta: 0:25:57 time: 0.5095 data_time: 0.0166 memory: 10484 grad_norm: 0.2079 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7308 recall@top3: 0.7308 prec@top3: 0.5385 recall@top5: 0.8846 prec@top5: 0.3846 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 21:21:51 - mmengine - INFO - Epoch(train) [10][1000/3842] lr: 1.5722e-03 eta: 0:25:46 time: 0.5235 data_time: 0.0163 memory: 10484 grad_norm: 0.1994 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.7556 recall@top3: 0.8278 prec@top3: 0.6444 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 21:22:01 - mmengine - INFO - Epoch(train) [10][1020/3842] lr: 1.5503e-03 eta: 0:25:35 time: 0.5270 data_time: 0.0172 memory: 10484 grad_norm: 0.2013 recall@thr=0.5: 0.6792 prec@thr=0.5: 0.7542 recall@top3: 0.7667 prec@top3: 0.6500 recall@top5: 0.9708 prec@top5: 0.5000 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 21:22:12 - mmengine - INFO - Epoch(train) [10][1040/3842] lr: 1.5286e-03 eta: 0:25:24 time: 0.5249 data_time: 0.0168 memory: 10484 grad_norm: 0.1969 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7654 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4519 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 21:22:22 - mmengine - INFO - Epoch(train) [10][1060/3842] lr: 1.5070e-03 eta: 0:25:13 time: 0.5252 data_time: 0.0171 memory: 10484 grad_norm: 0.2072 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.8462 recall@top3: 0.8013 prec@top3: 0.6410 recall@top5: 0.9295 prec@top5: 0.4615 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 21:22:32 - mmengine - INFO - Epoch(train) [10][1080/3842] lr: 1.4855e-03 eta: 0:25:02 time: 0.4988 data_time: 0.0167 memory: 10484 grad_norm: 0.2054 recall@thr=0.5: 0.5815 prec@thr=0.5: 0.8889 recall@top3: 0.8222 prec@top3: 0.8148 recall@top5: 0.8889 prec@top5: 0.5556 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 21:22:43 - mmengine - INFO - Epoch(train) [10][1100/3842] lr: 1.4642e-03 eta: 0:24:51 time: 0.5462 data_time: 0.0169 memory: 10484 grad_norm: 0.2031 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8571 recall@top3: 0.9167 prec@top3: 0.6984 recall@top5: 0.9881 prec@top5: 0.4667 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 21:22:53 - mmengine - INFO - Epoch(train) [10][1120/3842] lr: 1.4431e-03 eta: 0:24:40 time: 0.4978 data_time: 0.0162 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7250 recall@top3: 0.7833 prec@top3: 0.5667 recall@top5: 0.8750 prec@top5: 0.3700 loss_action_cls: 0.0336 loss: 0.0336 2022/08/10 21:23:03 - mmengine - INFO - Epoch(train) [10][1140/3842] lr: 1.4221e-03 eta: 0:24:29 time: 0.5239 data_time: 0.0131 memory: 10484 grad_norm: 0.2048 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8865 recall@top3: 0.8542 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 21:23:14 - mmengine - INFO - Epoch(train) [10][1160/3842] lr: 1.4013e-03 eta: 0:24:18 time: 0.5278 data_time: 0.0185 memory: 10484 grad_norm: 0.2080 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7857 recall@top3: 0.9048 prec@top3: 0.6508 recall@top5: 0.9762 prec@top5: 0.4286 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 21:23:24 - mmengine - INFO - Epoch(train) [10][1180/3842] lr: 1.3806e-03 eta: 0:24:07 time: 0.5240 data_time: 0.0169 memory: 10484 grad_norm: 0.2104 recall@thr=0.5: 0.9058 prec@thr=0.5: 0.9783 recall@top3: 0.9565 prec@top3: 0.9275 recall@top5: 1.0000 prec@top5: 0.5913 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 21:23:35 - mmengine - INFO - Epoch(train) [10][1200/3842] lr: 1.3601e-03 eta: 0:23:56 time: 0.5253 data_time: 0.0168 memory: 10484 grad_norm: 0.2068 recall@thr=0.5: 0.9683 prec@thr=0.5: 0.8810 recall@top3: 0.9683 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 21:23:45 - mmengine - INFO - Epoch(train) [10][1220/3842] lr: 1.3397e-03 eta: 0:23:46 time: 0.5259 data_time: 0.0185 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.9167 recall@top3: 0.8630 prec@top3: 0.7037 recall@top5: 0.9481 prec@top5: 0.4889 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 21:23:56 - mmengine - INFO - Epoch(train) [10][1240/3842] lr: 1.3194e-03 eta: 0:23:35 time: 0.5280 data_time: 0.0166 memory: 10484 grad_norm: 0.1961 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.8654 recall@top3: 0.8846 prec@top3: 0.7692 recall@top5: 0.9615 prec@top5: 0.5231 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 21:24:07 - mmengine - INFO - Epoch(train) [10][1260/3842] lr: 1.2994e-03 eta: 0:23:24 time: 0.5349 data_time: 0.0194 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.7826 recall@top3: 0.7862 prec@top3: 0.6087 recall@top5: 0.9058 prec@top5: 0.4261 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 21:24:18 - mmengine - INFO - Epoch(train) [10][1280/3842] lr: 1.2794e-03 eta: 0:23:13 time: 0.5379 data_time: 0.0159 memory: 10484 grad_norm: 0.1913 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8187 recall@top3: 0.8854 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.4750 loss_action_cls: 0.0417 loss: 0.0417 2022/08/10 21:24:28 - mmengine - INFO - Epoch(train) [10][1300/3842] lr: 1.2597e-03 eta: 0:23:02 time: 0.5249 data_time: 0.0176 memory: 10484 grad_norm: 0.2017 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7121 recall@top3: 0.7576 prec@top3: 0.5758 recall@top5: 0.9697 prec@top5: 0.4000 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 21:24:39 - mmengine - INFO - Epoch(train) [10][1320/3842] lr: 1.2400e-03 eta: 0:22:51 time: 0.5286 data_time: 0.0206 memory: 10484 grad_norm: 0.1969 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.9487 recall@top3: 0.8910 prec@top3: 0.8462 recall@top5: 0.9744 prec@top5: 0.5692 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 21:24:49 - mmengine - INFO - Epoch(train) [10][1340/3842] lr: 1.2206e-03 eta: 0:22:40 time: 0.5014 data_time: 0.0148 memory: 10484 grad_norm: 0.1981 recall@thr=0.5: 0.6023 prec@thr=0.5: 0.7083 recall@top3: 0.7538 prec@top3: 0.5758 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 21:24:59 - mmengine - INFO - Epoch(train) [10][1360/3842] lr: 1.2012e-03 eta: 0:22:29 time: 0.5306 data_time: 0.0162 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.7792 recall@top3: 0.9250 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 21:25:10 - mmengine - INFO - Epoch(train) [10][1380/3842] lr: 1.1821e-03 eta: 0:22:18 time: 0.5288 data_time: 0.0208 memory: 10484 grad_norm: 0.1959 recall@thr=0.5: 0.8269 prec@thr=0.5: 0.8704 recall@top3: 0.8583 prec@top3: 0.7778 recall@top5: 0.9537 prec@top5: 0.5444 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 21:25:20 - mmengine - INFO - Epoch(train) [10][1400/3842] lr: 1.1630e-03 eta: 0:22:07 time: 0.5067 data_time: 0.0172 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8393 recall@top3: 1.0000 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 21:25:30 - mmengine - INFO - Epoch(train) [10][1420/3842] lr: 1.1442e-03 eta: 0:21:57 time: 0.5267 data_time: 0.0178 memory: 10484 grad_norm: 0.2023 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9286 recall@top3: 0.8214 prec@top3: 0.7381 recall@top5: 0.9643 prec@top5: 0.5286 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 21:25:31 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 21:25:41 - mmengine - INFO - Epoch(train) [10][1440/3842] lr: 1.1255e-03 eta: 0:21:46 time: 0.5277 data_time: 0.0176 memory: 10484 grad_norm: 0.2025 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8182 recall@top3: 0.8598 prec@top3: 0.7727 recall@top5: 0.9545 prec@top5: 0.5273 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 21:25:52 - mmengine - INFO - Epoch(train) [10][1460/3842] lr: 1.1069e-03 eta: 0:21:35 time: 0.5245 data_time: 0.0180 memory: 10484 grad_norm: 0.2003 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9236 recall@top3: 0.8611 prec@top3: 0.7778 recall@top5: 0.8819 prec@top5: 0.4833 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 21:26:02 - mmengine - INFO - Epoch(train) [10][1480/3842] lr: 1.0885e-03 eta: 0:21:24 time: 0.5299 data_time: 0.0180 memory: 10484 grad_norm: 0.2017 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7667 recall@top3: 0.8000 prec@top3: 0.7000 recall@top5: 0.9250 prec@top5: 0.5000 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 21:26:12 - mmengine - INFO - Epoch(train) [10][1500/3842] lr: 1.0702e-03 eta: 0:21:13 time: 0.5066 data_time: 0.0172 memory: 10484 grad_norm: 0.2045 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7917 recall@top3: 0.8542 prec@top3: 0.5833 recall@top5: 0.9792 prec@top5: 0.4250 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 21:26:23 - mmengine - INFO - Epoch(train) [10][1520/3842] lr: 1.0521e-03 eta: 0:21:02 time: 0.5269 data_time: 0.0166 memory: 10484 grad_norm: 0.2010 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6765 recall@top3: 0.6441 prec@top3: 0.7255 recall@top5: 0.8382 prec@top5: 0.5647 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 21:26:33 - mmengine - INFO - Epoch(train) [10][1540/3842] lr: 1.0342e-03 eta: 0:20:51 time: 0.5279 data_time: 0.0163 memory: 10484 grad_norm: 0.2106 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7222 recall@top3: 0.7315 prec@top3: 0.7222 recall@top5: 0.9861 prec@top5: 0.5778 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 21:26:44 - mmengine - INFO - Epoch(train) [10][1560/3842] lr: 1.0164e-03 eta: 0:20:40 time: 0.5252 data_time: 0.0169 memory: 10484 grad_norm: 0.2089 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.8182 recall@top3: 0.7348 prec@top3: 0.7273 recall@top5: 0.9545 prec@top5: 0.5818 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 21:26:54 - mmengine - INFO - Epoch(train) [10][1580/3842] lr: 9.9871e-04 eta: 0:20:29 time: 0.5269 data_time: 0.0183 memory: 10484 grad_norm: 0.2006 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.7628 recall@top3: 0.8846 prec@top3: 0.7692 recall@top5: 0.9038 prec@top5: 0.4769 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 21:27:05 - mmengine - INFO - Epoch(train) [10][1600/3842] lr: 9.8121e-04 eta: 0:20:18 time: 0.5282 data_time: 0.0172 memory: 10484 grad_norm: 0.2082 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9722 recall@top3: 1.0000 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 21:27:16 - mmengine - INFO - Epoch(train) [10][1620/3842] lr: 9.6386e-04 eta: 0:20:08 time: 0.5306 data_time: 0.0178 memory: 10484 grad_norm: 0.1994 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7500 recall@top3: 0.7812 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.5250 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 21:27:26 - mmengine - INFO - Epoch(train) [10][1640/3842] lr: 9.4667e-04 eta: 0:19:57 time: 0.5257 data_time: 0.0175 memory: 10484 grad_norm: 0.1997 recall@thr=0.5: 0.9487 prec@thr=0.5: 0.8974 recall@top3: 0.9423 prec@top3: 0.8462 recall@top5: 1.0000 prec@top5: 0.5538 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 21:27:36 - mmengine - INFO - Epoch(train) [10][1660/3842] lr: 9.2963e-04 eta: 0:19:46 time: 0.5015 data_time: 0.0174 memory: 10484 grad_norm: 0.1954 recall@thr=0.5: 0.7560 prec@thr=0.5: 0.8690 recall@top3: 0.8274 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.5000 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 21:27:47 - mmengine - INFO - Epoch(train) [10][1680/3842] lr: 9.1275e-04 eta: 0:19:35 time: 0.5261 data_time: 0.0165 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6667 recall@top3: 0.7353 prec@top3: 0.6863 recall@top5: 0.8725 prec@top5: 0.4941 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 21:27:58 - mmengine - INFO - Epoch(train) [10][1700/3842] lr: 8.9601e-04 eta: 0:19:24 time: 0.5450 data_time: 0.0183 memory: 10484 grad_norm: 0.2001 recall@thr=0.5: 0.7947 prec@thr=0.5: 0.8977 recall@top3: 0.7447 prec@top3: 0.8485 recall@top5: 0.9621 prec@top5: 0.6909 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 21:28:08 - mmengine - INFO - Epoch(train) [10][1720/3842] lr: 8.7943e-04 eta: 0:19:13 time: 0.5334 data_time: 0.0212 memory: 10484 grad_norm: 0.1964 recall@thr=0.5: 0.7500 prec@thr=0.5: 1.0000 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0356 loss: 0.0356 2022/08/10 21:28:19 - mmengine - INFO - Epoch(train) [10][1740/3842] lr: 8.6300e-04 eta: 0:19:02 time: 0.5241 data_time: 0.0187 memory: 10484 grad_norm: 0.2088 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7619 recall@top3: 0.8135 prec@top3: 0.7778 recall@top5: 0.9841 prec@top5: 0.5714 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 21:28:29 - mmengine - INFO - Epoch(train) [10][1760/3842] lr: 8.4673e-04 eta: 0:18:51 time: 0.5075 data_time: 0.0169 memory: 10484 grad_norm: 0.1988 recall@thr=0.5: 0.5381 prec@thr=0.5: 0.8810 recall@top3: 0.6968 prec@top3: 0.5556 recall@top5: 0.8952 prec@top5: 0.4667 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 21:28:40 - mmengine - INFO - Epoch(train) [10][1780/3842] lr: 8.3061e-04 eta: 0:18:40 time: 0.5388 data_time: 0.0170 memory: 10484 grad_norm: 0.2065 recall@thr=0.5: 0.7401 prec@thr=0.5: 0.8642 recall@top3: 0.7784 prec@top3: 0.7778 recall@top5: 0.9617 prec@top5: 0.5704 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 21:28:50 - mmengine - INFO - Epoch(train) [10][1800/3842] lr: 8.1464e-04 eta: 0:18:30 time: 0.5264 data_time: 0.0169 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8056 recall@top3: 0.8611 prec@top3: 0.6111 recall@top5: 0.8611 prec@top5: 0.3667 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 21:29:01 - mmengine - INFO - Epoch(train) [10][1820/3842] lr: 7.9882e-04 eta: 0:18:19 time: 0.5406 data_time: 0.0195 memory: 10484 grad_norm: 0.1988 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9583 recall@top3: 0.8788 prec@top3: 0.9091 recall@top5: 1.0000 prec@top5: 0.6364 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 21:29:11 - mmengine - INFO - Epoch(train) [10][1840/3842] lr: 7.8316e-04 eta: 0:18:08 time: 0.5047 data_time: 0.0227 memory: 10484 grad_norm: 0.2040 recall@thr=0.5: 0.6774 prec@thr=0.5: 0.7473 recall@top3: 0.7984 prec@top3: 0.6129 recall@top5: 0.8871 prec@top5: 0.4194 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 21:29:21 - mmengine - INFO - Epoch(train) [10][1860/3842] lr: 7.6765e-04 eta: 0:17:57 time: 0.5181 data_time: 0.0167 memory: 10484 grad_norm: 0.1996 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8177 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 0.9479 prec@top5: 0.5375 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 21:29:31 - mmengine - INFO - Epoch(train) [10][1880/3842] lr: 7.5230e-04 eta: 0:17:46 time: 0.5006 data_time: 0.0175 memory: 10484 grad_norm: 0.2018 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6528 recall@top3: 0.6435 prec@top3: 0.5926 recall@top5: 0.8704 prec@top5: 0.4778 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 21:29:42 - mmengine - INFO - Epoch(train) [10][1900/3842] lr: 7.3710e-04 eta: 0:17:35 time: 0.5265 data_time: 0.0186 memory: 10484 grad_norm: 0.2059 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8939 recall@top3: 0.8939 prec@top3: 0.7727 recall@top5: 0.9697 prec@top5: 0.5091 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 21:29:52 - mmengine - INFO - Epoch(train) [10][1920/3842] lr: 7.2205e-04 eta: 0:17:24 time: 0.5017 data_time: 0.0163 memory: 10484 grad_norm: 0.1970 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.8429 recall@top3: 0.7262 prec@top3: 0.5714 recall@top5: 0.8571 prec@top5: 0.4143 loss_action_cls: 0.0294 loss: 0.0294 2022/08/10 21:30:02 - mmengine - INFO - Epoch(train) [10][1940/3842] lr: 7.0715e-04 eta: 0:17:13 time: 0.5231 data_time: 0.0172 memory: 10484 grad_norm: 0.2021 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6000 recall@top3: 0.8167 prec@top3: 0.5333 recall@top5: 0.8833 prec@top5: 0.3600 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 21:30:12 - mmengine - INFO - Epoch(train) [10][1960/3842] lr: 6.9241e-04 eta: 0:17:02 time: 0.5011 data_time: 0.0181 memory: 10484 grad_norm: 0.2001 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.8205 recall@top3: 0.9038 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4154 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 21:30:23 - mmengine - INFO - Epoch(train) [10][1980/3842] lr: 6.7783e-04 eta: 0:16:51 time: 0.5243 data_time: 0.0174 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.6579 recall@top3: 0.7588 prec@top3: 0.6140 recall@top5: 0.8816 prec@top5: 0.4421 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 21:30:33 - mmengine - INFO - Epoch(train) [10][2000/3842] lr: 6.6340e-04 eta: 0:16:41 time: 0.4995 data_time: 0.0171 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.7151 prec@thr=0.5: 0.9373 recall@top3: 0.7833 prec@top3: 0.8254 recall@top5: 0.9722 prec@top5: 0.6381 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 21:30:43 - mmengine - INFO - Epoch(train) [10][2020/3842] lr: 6.4912e-04 eta: 0:16:30 time: 0.5171 data_time: 0.0136 memory: 10484 grad_norm: 0.2025 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8182 recall@top3: 0.8182 prec@top3: 0.5758 recall@top5: 0.8182 prec@top5: 0.3455 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 21:30:53 - mmengine - INFO - Epoch(train) [10][2040/3842] lr: 6.3499e-04 eta: 0:16:19 time: 0.5047 data_time: 0.0181 memory: 10484 grad_norm: 0.1992 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.5455 recall@top3: 0.6061 prec@top3: 0.4545 recall@top5: 0.9091 prec@top5: 0.4182 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 21:31:04 - mmengine - INFO - Epoch(train) [10][2060/3842] lr: 6.2102e-04 eta: 0:16:08 time: 0.5252 data_time: 0.0217 memory: 10484 grad_norm: 0.1966 recall@thr=0.5: 0.8578 prec@thr=0.5: 0.8971 recall@top3: 0.8971 prec@top3: 0.8431 recall@top5: 0.9804 prec@top5: 0.5647 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 21:31:14 - mmengine - INFO - Epoch(train) [10][2080/3842] lr: 6.0721e-04 eta: 0:15:57 time: 0.5008 data_time: 0.0178 memory: 10484 grad_norm: 0.2000 recall@thr=0.5: 0.7529 prec@thr=0.5: 0.7990 recall@top3: 0.6980 prec@top3: 0.6863 recall@top5: 0.8824 prec@top5: 0.5529 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 21:31:24 - mmengine - INFO - Epoch(train) [10][2100/3842] lr: 5.9354e-04 eta: 0:15:46 time: 0.5271 data_time: 0.0191 memory: 10484 grad_norm: 0.1991 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8229 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.9271 prec@top5: 0.4375 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 21:31:35 - mmengine - INFO - Epoch(train) [10][2120/3842] lr: 5.8003e-04 eta: 0:15:35 time: 0.5273 data_time: 0.0170 memory: 10484 grad_norm: 0.2055 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9556 recall@top3: 0.9000 prec@top3: 0.8444 recall@top5: 1.0000 prec@top5: 0.5867 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 21:31:45 - mmengine - INFO - Epoch(train) [10][2140/3842] lr: 5.6668e-04 eta: 0:15:24 time: 0.5218 data_time: 0.0169 memory: 10484 grad_norm: 0.2087 recall@thr=0.5: 0.7448 prec@thr=0.5: 0.8437 recall@top3: 0.7865 prec@top3: 0.6250 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 21:31:56 - mmengine - INFO - Epoch(train) [10][2160/3842] lr: 5.5348e-04 eta: 0:15:13 time: 0.5311 data_time: 0.0170 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.9074 prec@thr=0.5: 0.8519 recall@top3: 0.9676 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 21:32:06 - mmengine - INFO - Epoch(train) [10][2180/3842] lr: 5.4044e-04 eta: 0:15:02 time: 0.5026 data_time: 0.0159 memory: 10484 grad_norm: 0.1973 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.9222 recall@top3: 0.8472 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.5222 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 21:32:17 - mmengine - INFO - Epoch(train) [10][2200/3842] lr: 5.2755e-04 eta: 0:14:52 time: 0.5439 data_time: 0.0188 memory: 10484 grad_norm: 0.2070 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.8864 recall@top3: 0.8371 prec@top3: 0.8485 recall@top5: 0.9773 prec@top5: 0.5909 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 21:32:28 - mmengine - INFO - Epoch(train) [10][2220/3842] lr: 5.1481e-04 eta: 0:14:41 time: 0.5355 data_time: 0.0222 memory: 10484 grad_norm: 0.1957 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.9583 recall@top3: 0.8854 prec@top3: 0.8542 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 21:32:38 - mmengine - INFO - Epoch(train) [10][2240/3842] lr: 5.0223e-04 eta: 0:14:30 time: 0.5342 data_time: 0.0184 memory: 10484 grad_norm: 0.1991 recall@thr=0.5: 0.9008 prec@thr=0.5: 0.9524 recall@top3: 0.9246 prec@top3: 0.8254 recall@top5: 0.9762 prec@top5: 0.5333 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 21:32:49 - mmengine - INFO - Epoch(train) [10][2260/3842] lr: 4.8980e-04 eta: 0:14:19 time: 0.5323 data_time: 0.0173 memory: 10484 grad_norm: 0.2027 recall@thr=0.5: 0.7056 prec@thr=0.5: 0.7389 recall@top3: 0.8222 prec@top3: 0.7556 recall@top5: 0.9333 prec@top5: 0.5333 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 21:33:00 - mmengine - INFO - Epoch(train) [10][2280/3842] lr: 4.7753e-04 eta: 0:14:08 time: 0.5478 data_time: 0.0176 memory: 10484 grad_norm: 0.2008 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9286 recall@top3: 0.9643 prec@top3: 0.7619 recall@top5: 0.9643 prec@top5: 0.4571 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 21:33:10 - mmengine - INFO - Epoch(train) [10][2300/3842] lr: 4.6541e-04 eta: 0:13:57 time: 0.5237 data_time: 0.0170 memory: 10484 grad_norm: 0.2022 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7381 recall@top3: 0.8254 prec@top3: 0.6032 recall@top5: 0.9881 prec@top5: 0.4476 loss_action_cls: 0.0305 loss: 0.0305 2022/08/10 21:33:21 - mmengine - INFO - Epoch(train) [10][2320/3842] lr: 4.5345e-04 eta: 0:13:46 time: 0.5082 data_time: 0.0169 memory: 10484 grad_norm: 0.1999 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8684 recall@top3: 0.8816 prec@top3: 0.8772 recall@top5: 0.9781 prec@top5: 0.5895 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 21:33:31 - mmengine - INFO - Epoch(train) [10][2340/3842] lr: 4.4164e-04 eta: 0:13:35 time: 0.5331 data_time: 0.0177 memory: 10484 grad_norm: 0.2049 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7321 recall@top3: 0.8393 prec@top3: 0.6429 recall@top5: 0.9405 prec@top5: 0.4571 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 21:33:42 - mmengine - INFO - Epoch(train) [10][2360/3842] lr: 4.2999e-04 eta: 0:13:25 time: 0.5211 data_time: 0.0169 memory: 10484 grad_norm: 0.2011 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.6923 recall@top3: 0.8205 prec@top3: 0.5641 recall@top5: 0.8846 prec@top5: 0.3692 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 21:33:52 - mmengine - INFO - Epoch(train) [10][2380/3842] lr: 4.1849e-04 eta: 0:13:14 time: 0.5245 data_time: 0.0168 memory: 10484 grad_norm: 0.2041 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8571 recall@top3: 0.8571 prec@top3: 0.8214 recall@top5: 0.9405 prec@top5: 0.5571 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 21:34:03 - mmengine - INFO - Epoch(train) [10][2400/3842] lr: 4.0715e-04 eta: 0:13:03 time: 0.5257 data_time: 0.0193 memory: 10484 grad_norm: 0.1971 recall@thr=0.5: 0.7560 prec@thr=0.5: 0.8548 recall@top3: 0.7500 prec@top3: 0.7619 recall@top5: 0.8810 prec@top5: 0.5429 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 21:34:13 - mmengine - INFO - Epoch(train) [10][2420/3842] lr: 3.9596e-04 eta: 0:12:52 time: 0.5243 data_time: 0.0176 memory: 10484 grad_norm: 0.2045 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.8454 recall@top3: 0.8380 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 21:34:14 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 21:34:24 - mmengine - INFO - Epoch(train) [10][2440/3842] lr: 3.8493e-04 eta: 0:12:41 time: 0.5476 data_time: 0.0176 memory: 10484 grad_norm: 0.1981 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8824 recall@top3: 0.7941 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4706 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 21:34:35 - mmengine - INFO - Epoch(train) [10][2460/3842] lr: 3.7405e-04 eta: 0:12:30 time: 0.5300 data_time: 0.0187 memory: 10484 grad_norm: 0.2060 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.9444 recall@top3: 0.9333 prec@top3: 0.7778 recall@top5: 0.9667 prec@top5: 0.4933 loss_action_cls: 0.0356 loss: 0.0356 2022/08/10 21:34:45 - mmengine - INFO - Epoch(train) [10][2480/3842] lr: 3.6333e-04 eta: 0:12:19 time: 0.5276 data_time: 0.0161 memory: 10484 grad_norm: 0.2129 recall@thr=0.5: 0.8435 prec@thr=0.5: 0.8296 recall@top3: 0.8537 prec@top3: 0.7222 recall@top5: 0.9269 prec@top5: 0.4889 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 21:34:56 - mmengine - INFO - Epoch(train) [10][2500/3842] lr: 3.5276e-04 eta: 0:12:08 time: 0.5239 data_time: 0.0187 memory: 10484 grad_norm: 0.2014 recall@thr=0.5: 0.9394 prec@thr=0.5: 0.9167 recall@top3: 0.9242 prec@top3: 0.8788 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 21:35:06 - mmengine - INFO - Epoch(train) [10][2520/3842] lr: 3.4235e-04 eta: 0:11:58 time: 0.5064 data_time: 0.0172 memory: 10484 grad_norm: 0.1954 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.6917 recall@top3: 0.9083 prec@top3: 0.4667 recall@top5: 0.9750 prec@top5: 0.3200 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 21:35:17 - mmengine - INFO - Epoch(train) [10][2540/3842] lr: 3.3209e-04 eta: 0:11:47 time: 0.5305 data_time: 0.0178 memory: 10484 grad_norm: 0.1986 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.9167 recall@top3: 0.8278 prec@top3: 0.7556 recall@top5: 0.9667 prec@top5: 0.5467 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 21:35:28 - mmengine - INFO - Epoch(train) [10][2560/3842] lr: 3.2199e-04 eta: 0:11:36 time: 0.5744 data_time: 0.0189 memory: 10484 grad_norm: 0.2005 recall@thr=0.5: 0.8229 prec@thr=0.5: 1.0000 recall@top3: 0.9688 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 21:35:39 - mmengine - INFO - Epoch(train) [10][2580/3842] lr: 3.1204e-04 eta: 0:11:25 time: 0.5314 data_time: 0.0181 memory: 10484 grad_norm: 0.2036 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8462 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 21:35:49 - mmengine - INFO - Epoch(train) [10][2600/3842] lr: 3.0225e-04 eta: 0:11:14 time: 0.5027 data_time: 0.0176 memory: 10484 grad_norm: 0.2018 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8646 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.8958 prec@top5: 0.4750 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 21:35:59 - mmengine - INFO - Epoch(train) [10][2620/3842] lr: 2.9261e-04 eta: 0:11:03 time: 0.5269 data_time: 0.0169 memory: 10484 grad_norm: 0.2073 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.8417 recall@top3: 0.8500 prec@top3: 0.7500 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 21:36:10 - mmengine - INFO - Epoch(train) [10][2640/3842] lr: 2.8313e-04 eta: 0:10:52 time: 0.5240 data_time: 0.0171 memory: 10484 grad_norm: 0.2018 recall@thr=0.5: 0.9667 prec@thr=0.5: 0.9311 recall@top3: 0.9333 prec@top3: 0.8000 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 21:36:20 - mmengine - INFO - Epoch(train) [10][2660/3842] lr: 2.7381e-04 eta: 0:10:41 time: 0.5265 data_time: 0.0176 memory: 10484 grad_norm: 0.2075 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8208 recall@top3: 0.8385 prec@top3: 0.8542 recall@top5: 1.0000 prec@top5: 0.6125 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 21:36:31 - mmengine - INFO - Epoch(train) [10][2680/3842] lr: 2.6464e-04 eta: 0:10:31 time: 0.5295 data_time: 0.0185 memory: 10484 grad_norm: 0.1982 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8030 recall@top3: 0.9394 prec@top3: 0.5152 recall@top5: 0.9697 prec@top5: 0.3273 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 21:36:42 - mmengine - INFO - Epoch(train) [10][2700/3842] lr: 2.5563e-04 eta: 0:10:20 time: 0.5499 data_time: 0.0175 memory: 10484 grad_norm: 0.2038 recall@thr=0.5: 0.9846 prec@thr=0.5: 0.9744 recall@top3: 0.9692 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 21:36:52 - mmengine - INFO - Epoch(train) [10][2720/3842] lr: 2.4677e-04 eta: 0:10:09 time: 0.5211 data_time: 0.0175 memory: 10484 grad_norm: 0.2004 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8483 recall@top3: 0.7667 prec@top3: 0.7000 recall@top5: 0.9333 prec@top5: 0.5300 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 21:37:03 - mmengine - INFO - Epoch(train) [10][2740/3842] lr: 2.3807e-04 eta: 0:09:58 time: 0.5241 data_time: 0.0167 memory: 10484 grad_norm: 0.1986 recall@thr=0.5: 0.4684 prec@thr=0.5: 0.8158 recall@top3: 0.7860 prec@top3: 0.6667 recall@top5: 0.9018 prec@top5: 0.4526 loss_action_cls: 0.0326 loss: 0.0326 2022/08/10 21:37:13 - mmengine - INFO - Epoch(train) [10][2760/3842] lr: 2.2952e-04 eta: 0:09:47 time: 0.5266 data_time: 0.0173 memory: 10484 grad_norm: 0.2011 recall@thr=0.5: 0.7675 prec@thr=0.5: 0.9211 recall@top3: 0.8816 prec@top3: 0.8070 recall@top5: 0.9386 prec@top5: 0.5263 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 21:37:23 - mmengine - INFO - Epoch(train) [10][2780/3842] lr: 2.2113e-04 eta: 0:09:36 time: 0.5000 data_time: 0.0159 memory: 10484 grad_norm: 0.1981 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.9231 recall@top3: 0.8333 prec@top3: 0.5385 recall@top5: 0.9615 prec@top5: 0.3846 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 21:37:34 - mmengine - INFO - Epoch(train) [10][2800/3842] lr: 2.1289e-04 eta: 0:09:25 time: 0.5195 data_time: 0.0181 memory: 10484 grad_norm: 0.2027 recall@thr=0.5: 0.7892 prec@thr=0.5: 0.9363 recall@top3: 0.8843 prec@top3: 0.8627 recall@top5: 0.9608 prec@top5: 0.5882 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 21:37:44 - mmengine - INFO - Epoch(train) [10][2820/3842] lr: 2.0482e-04 eta: 0:09:14 time: 0.5247 data_time: 0.0177 memory: 10484 grad_norm: 0.2075 recall@thr=0.5: 0.9206 prec@thr=0.5: 0.8651 recall@top3: 0.9048 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 21:37:54 - mmengine - INFO - Epoch(train) [10][2840/3842] lr: 1.9689e-04 eta: 0:09:04 time: 0.5123 data_time: 0.0174 memory: 10484 grad_norm: 0.2014 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8889 recall@top3: 0.8222 prec@top3: 0.7111 recall@top5: 0.9333 prec@top5: 0.5067 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 21:38:05 - mmengine - INFO - Epoch(train) [10][2860/3842] lr: 1.8912e-04 eta: 0:08:53 time: 0.5309 data_time: 0.0180 memory: 10484 grad_norm: 0.2029 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9722 recall@top3: 1.0000 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 21:38:16 - mmengine - INFO - Epoch(train) [10][2880/3842] lr: 1.8151e-04 eta: 0:08:42 time: 0.5231 data_time: 0.0176 memory: 10484 grad_norm: 0.1992 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.7867 recall@top3: 0.7722 prec@top3: 0.6889 recall@top5: 0.9833 prec@top5: 0.4933 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 21:38:26 - mmengine - INFO - Epoch(train) [10][2900/3842] lr: 1.7406e-04 eta: 0:08:31 time: 0.5154 data_time: 0.0171 memory: 10484 grad_norm: 0.2007 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9487 recall@top3: 0.9615 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 21:38:36 - mmengine - INFO - Epoch(train) [10][2920/3842] lr: 1.6676e-04 eta: 0:08:20 time: 0.5186 data_time: 0.0182 memory: 10484 grad_norm: 0.2027 recall@thr=0.5: 0.7683 prec@thr=0.5: 0.8042 recall@top3: 0.8075 prec@top3: 0.7500 recall@top5: 0.9775 prec@top5: 0.5700 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 21:38:47 - mmengine - INFO - Epoch(train) [10][2940/3842] lr: 1.5961e-04 eta: 0:08:09 time: 0.5256 data_time: 0.0181 memory: 10484 grad_norm: 0.2051 recall@thr=0.5: 0.7056 prec@thr=0.5: 0.7111 recall@top3: 0.6889 prec@top3: 0.7111 recall@top5: 0.8000 prec@top5: 0.4933 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 21:38:57 - mmengine - INFO - Epoch(train) [10][2960/3842] lr: 1.5263e-04 eta: 0:07:58 time: 0.5259 data_time: 0.0178 memory: 10484 grad_norm: 0.1951 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.9048 recall@top3: 0.7619 prec@top3: 0.7619 recall@top5: 0.9048 prec@top5: 0.5286 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 21:39:08 - mmengine - INFO - Epoch(train) [10][2980/3842] lr: 1.4580e-04 eta: 0:07:48 time: 0.5261 data_time: 0.0185 memory: 10484 grad_norm: 0.2021 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9000 recall@top3: 0.9333 prec@top3: 0.9111 recall@top5: 0.9667 prec@top5: 0.5733 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 21:39:18 - mmengine - INFO - Epoch(train) [10][3000/3842] lr: 1.3912e-04 eta: 0:07:37 time: 0.5277 data_time: 0.0183 memory: 10484 grad_norm: 0.2055 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8657 recall@top3: 0.7778 prec@top3: 0.7037 recall@top5: 0.9167 prec@top5: 0.5111 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 21:39:29 - mmengine - INFO - Epoch(train) [10][3020/3842] lr: 1.3260e-04 eta: 0:07:26 time: 0.5279 data_time: 0.0178 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.8772 recall@top3: 0.9649 prec@top3: 0.7368 recall@top5: 0.9649 prec@top5: 0.4421 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 21:39:39 - mmengine - INFO - Epoch(train) [10][3040/3842] lr: 1.2624e-04 eta: 0:07:15 time: 0.5248 data_time: 0.0173 memory: 10484 grad_norm: 0.2079 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7949 recall@top3: 0.9103 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 21:39:50 - mmengine - INFO - Epoch(train) [10][3060/3842] lr: 1.2003e-04 eta: 0:07:04 time: 0.5243 data_time: 0.0174 memory: 10484 grad_norm: 0.2073 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8222 recall@top3: 0.9111 prec@top3: 0.6444 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 21:40:00 - mmengine - INFO - Epoch(train) [10][3080/3842] lr: 1.1398e-04 eta: 0:06:53 time: 0.4986 data_time: 0.0162 memory: 10484 grad_norm: 0.2036 recall@thr=0.5: 0.9605 prec@thr=0.5: 1.0000 recall@top3: 0.9342 prec@top3: 0.9298 recall@top5: 1.0000 prec@top5: 0.6105 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 21:40:10 - mmengine - INFO - Epoch(train) [10][3100/3842] lr: 1.0809e-04 eta: 0:06:42 time: 0.5235 data_time: 0.0159 memory: 10484 grad_norm: 0.2091 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.9216 recall@top3: 0.9706 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 21:40:21 - mmengine - INFO - Epoch(train) [10][3120/3842] lr: 1.0235e-04 eta: 0:06:31 time: 0.5446 data_time: 0.0175 memory: 10484 grad_norm: 0.2145 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7167 recall@top3: 0.7667 prec@top3: 0.5000 recall@top5: 0.9500 prec@top5: 0.3900 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 21:40:32 - mmengine - INFO - Epoch(train) [10][3140/3842] lr: 9.6768e-05 eta: 0:06:21 time: 0.5270 data_time: 0.0187 memory: 10484 grad_norm: 0.2052 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.7464 recall@top3: 0.7101 prec@top3: 0.6667 recall@top5: 0.9203 prec@top5: 0.5304 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 21:40:43 - mmengine - INFO - Epoch(train) [10][3160/3842] lr: 9.1342e-05 eta: 0:06:10 time: 0.5395 data_time: 0.0181 memory: 10484 grad_norm: 0.2084 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8667 recall@top3: 0.9000 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5467 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 21:40:53 - mmengine - INFO - Epoch(train) [10][3180/3842] lr: 8.6073e-05 eta: 0:05:59 time: 0.5005 data_time: 0.0167 memory: 10484 grad_norm: 0.2006 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.9722 recall@top3: 0.7639 prec@top3: 0.6667 recall@top5: 0.9236 prec@top5: 0.5000 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 21:41:03 - mmengine - INFO - Epoch(train) [10][3200/3842] lr: 8.0960e-05 eta: 0:05:48 time: 0.5254 data_time: 0.0136 memory: 10484 grad_norm: 0.2045 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8056 recall@top3: 0.7963 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.4556 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 21:41:14 - mmengine - INFO - Epoch(train) [10][3220/3842] lr: 7.6004e-05 eta: 0:05:37 time: 0.5251 data_time: 0.0182 memory: 10484 grad_norm: 0.1945 recall@thr=0.5: 0.9083 prec@thr=0.5: 0.9250 recall@top3: 0.9375 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0336 loss: 0.0336 2022/08/10 21:41:24 - mmengine - INFO - Epoch(train) [10][3240/3842] lr: 7.1204e-05 eta: 0:05:26 time: 0.5058 data_time: 0.0159 memory: 10484 grad_norm: 0.2037 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7250 recall@top3: 0.8333 prec@top3: 0.7833 recall@top5: 0.9333 prec@top5: 0.5300 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 21:41:34 - mmengine - INFO - Epoch(train) [10][3260/3842] lr: 6.6560e-05 eta: 0:05:15 time: 0.5268 data_time: 0.0181 memory: 10484 grad_norm: 0.2042 recall@thr=0.5: 0.7552 prec@thr=0.5: 0.8021 recall@top3: 0.7708 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.5375 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 21:41:45 - mmengine - INFO - Epoch(train) [10][3280/3842] lr: 6.2073e-05 eta: 0:05:05 time: 0.5458 data_time: 0.0177 memory: 10484 grad_norm: 0.2040 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7857 recall@top3: 0.8810 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 21:41:55 - mmengine - INFO - Epoch(train) [10][3300/3842] lr: 5.7742e-05 eta: 0:04:54 time: 0.5084 data_time: 0.0167 memory: 10484 grad_norm: 0.2022 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7431 recall@top3: 0.7569 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4833 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 21:42:06 - mmengine - INFO - Epoch(train) [10][3320/3842] lr: 5.3568e-05 eta: 0:04:43 time: 0.5516 data_time: 0.0170 memory: 10484 grad_norm: 0.2117 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7308 recall@top3: 0.8205 prec@top3: 0.5385 recall@top5: 0.9615 prec@top5: 0.3846 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 21:42:17 - mmengine - INFO - Epoch(train) [10][3340/3842] lr: 4.9550e-05 eta: 0:04:32 time: 0.5259 data_time: 0.0177 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7262 recall@top3: 0.8452 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 21:42:27 - mmengine - INFO - Epoch(train) [10][3360/3842] lr: 4.5689e-05 eta: 0:04:21 time: 0.5304 data_time: 0.0180 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.9778 recall@top3: 0.8889 prec@top3: 0.8667 recall@top5: 0.9667 prec@top5: 0.5733 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 21:42:38 - mmengine - INFO - Epoch(train) [10][3380/3842] lr: 4.1984e-05 eta: 0:04:10 time: 0.5474 data_time: 0.0179 memory: 10484 grad_norm: 0.2009 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.8718 recall@top3: 0.7756 prec@top3: 0.6923 recall@top5: 0.9487 prec@top5: 0.5077 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 21:42:49 - mmengine - INFO - Epoch(train) [10][3400/3842] lr: 3.8436e-05 eta: 0:03:59 time: 0.5244 data_time: 0.0175 memory: 10484 grad_norm: 0.2034 recall@thr=0.5: 0.8217 prec@thr=0.5: 0.8292 recall@top3: 0.8300 prec@top3: 0.6667 recall@top5: 0.9417 prec@top5: 0.4800 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 21:42:59 - mmengine - INFO - Epoch(train) [10][3420/3842] lr: 3.5044e-05 eta: 0:03:49 time: 0.5273 data_time: 0.0173 memory: 10484 grad_norm: 0.2041 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8444 recall@top3: 0.9778 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 21:43:01 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 21:43:10 - mmengine - INFO - Epoch(train) [10][3440/3842] lr: 3.1809e-05 eta: 0:03:38 time: 0.5251 data_time: 0.0159 memory: 10484 grad_norm: 0.1906 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8214 recall@top3: 0.8333 prec@top3: 0.8333 recall@top5: 0.9821 prec@top5: 0.6000 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 21:43:21 - mmengine - INFO - Epoch(train) [10][3460/3842] lr: 2.8731e-05 eta: 0:03:27 time: 0.5266 data_time: 0.0182 memory: 10484 grad_norm: 0.2035 recall@thr=0.5: 0.8635 prec@thr=0.5: 0.8254 recall@top3: 0.8063 prec@top3: 0.6349 recall@top5: 0.9048 prec@top5: 0.4381 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 21:43:31 - mmengine - INFO - Epoch(train) [10][3480/3842] lr: 2.5809e-05 eta: 0:03:16 time: 0.5026 data_time: 0.0186 memory: 10484 grad_norm: 0.2036 recall@thr=0.5: 0.8698 prec@thr=0.5: 0.7187 recall@top3: 0.9062 prec@top3: 0.6458 recall@top5: 0.9427 prec@top5: 0.4125 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 21:43:42 - mmengine - INFO - Epoch(train) [10][3500/3842] lr: 2.3044e-05 eta: 0:03:05 time: 0.5500 data_time: 0.0177 memory: 10484 grad_norm: 0.2109 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.9676 recall@top3: 0.8750 prec@top3: 0.9074 recall@top5: 1.0000 prec@top5: 0.6444 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 21:43:52 - mmengine - INFO - Epoch(train) [10][3520/3842] lr: 2.0435e-05 eta: 0:02:54 time: 0.5299 data_time: 0.0238 memory: 10484 grad_norm: 0.2051 recall@thr=0.5: 0.8509 prec@thr=0.5: 0.9211 recall@top3: 0.8421 prec@top3: 0.7193 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 21:44:03 - mmengine - INFO - Epoch(train) [10][3540/3842] lr: 1.7983e-05 eta: 0:02:43 time: 0.5446 data_time: 0.0170 memory: 10484 grad_norm: 0.2058 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7130 recall@top3: 0.8519 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 21:44:14 - mmengine - INFO - Epoch(train) [10][3560/3842] lr: 1.5687e-05 eta: 0:02:33 time: 0.5239 data_time: 0.0184 memory: 10484 grad_norm: 0.2081 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7206 recall@top3: 0.8088 prec@top3: 0.7843 recall@top5: 0.9167 prec@top5: 0.5294 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 21:44:24 - mmengine - INFO - Epoch(train) [10][3580/3842] lr: 1.3549e-05 eta: 0:02:22 time: 0.4997 data_time: 0.0166 memory: 10484 grad_norm: 0.2026 recall@thr=0.5: 0.7123 prec@thr=0.5: 0.7870 recall@top3: 0.7605 prec@top3: 0.7778 recall@top5: 0.9204 prec@top5: 0.5778 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 21:44:34 - mmengine - INFO - Epoch(train) [10][3600/3842] lr: 1.1566e-05 eta: 0:02:11 time: 0.5199 data_time: 0.0141 memory: 10484 grad_norm: 0.2083 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8409 recall@top3: 0.8485 prec@top3: 0.7121 recall@top5: 0.9091 prec@top5: 0.4545 loss_action_cls: 0.0356 loss: 0.0356 2022/08/10 21:44:45 - mmengine - INFO - Epoch(train) [10][3620/3842] lr: 9.7409e-06 eta: 0:02:00 time: 0.5308 data_time: 0.0173 memory: 10484 grad_norm: 0.1965 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7361 recall@top3: 0.7778 prec@top3: 0.5278 recall@top5: 0.8889 prec@top5: 0.3833 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 21:44:55 - mmengine - INFO - Epoch(train) [10][3640/3842] lr: 8.0720e-06 eta: 0:01:49 time: 0.5273 data_time: 0.0191 memory: 10484 grad_norm: 0.1945 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.6852 recall@top3: 0.7917 prec@top3: 0.5370 recall@top5: 0.8472 prec@top5: 0.3333 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 21:45:06 - mmengine - INFO - Epoch(train) [10][3660/3842] lr: 6.5599e-06 eta: 0:01:38 time: 0.5272 data_time: 0.0187 memory: 10484 grad_norm: 0.2027 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.9103 recall@top3: 0.9359 prec@top3: 0.8205 recall@top5: 1.0000 prec@top5: 0.5385 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 21:45:16 - mmengine - INFO - Epoch(train) [10][3680/3842] lr: 5.2044e-06 eta: 0:01:27 time: 0.5252 data_time: 0.0172 memory: 10484 grad_norm: 0.2040 recall@thr=0.5: 0.8653 prec@thr=0.5: 0.7764 recall@top3: 0.8931 prec@top3: 0.7500 recall@top5: 0.9917 prec@top5: 0.5167 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 21:45:26 - mmengine - INFO - Epoch(train) [10][3700/3842] lr: 4.0056e-06 eta: 0:01:17 time: 0.5066 data_time: 0.0181 memory: 10484 grad_norm: 0.2009 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7389 recall@top3: 0.9111 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 21:45:37 - mmengine - INFO - Epoch(train) [10][3720/3842] lr: 2.9635e-06 eta: 0:01:06 time: 0.5311 data_time: 0.0163 memory: 10484 grad_norm: 0.2073 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7325 recall@top3: 0.7939 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 21:45:47 - mmengine - INFO - Epoch(train) [10][3740/3842] lr: 2.0781e-06 eta: 0:00:55 time: 0.5012 data_time: 0.0197 memory: 10484 grad_norm: 0.2045 recall@thr=0.5: 0.9111 prec@thr=0.5: 0.9000 recall@top3: 0.9056 prec@top3: 0.9111 recall@top5: 1.0000 prec@top5: 0.6133 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 21:45:57 - mmengine - INFO - Epoch(train) [10][3760/3842] lr: 1.3495e-06 eta: 0:00:44 time: 0.5242 data_time: 0.0165 memory: 10484 grad_norm: 0.2075 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.8492 recall@top3: 0.8492 prec@top3: 0.7460 recall@top5: 0.9206 prec@top5: 0.4952 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 21:46:07 - mmengine - INFO - Epoch(train) [10][3780/3842] lr: 7.7747e-07 eta: 0:00:33 time: 0.5026 data_time: 0.0180 memory: 10484 grad_norm: 0.2054 recall@thr=0.5: 0.5958 prec@thr=0.5: 0.6302 recall@top3: 0.7521 prec@top3: 0.6250 recall@top5: 0.9125 prec@top5: 0.4500 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 21:46:18 - mmengine - INFO - Epoch(train) [10][3800/3842] lr: 3.6220e-07 eta: 0:00:22 time: 0.5244 data_time: 0.0183 memory: 10484 grad_norm: 0.1948 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8684 recall@top3: 0.8333 prec@top3: 0.6842 recall@top5: 0.9605 prec@top5: 0.4842 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 21:46:29 - mmengine - INFO - Epoch(train) [10][3820/3842] lr: 1.0362e-07 eta: 0:00:11 time: 0.5448 data_time: 0.0177 memory: 10484 grad_norm: 0.2002 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8604 recall@top3: 0.8750 prec@top3: 0.8750 recall@top5: 0.9427 prec@top5: 0.5750 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 21:46:39 - mmengine - INFO - Epoch(train) [10][3840/3842] lr: 1.7630e-09 eta: 0:00:01 time: 0.5299 data_time: 0.0182 memory: 10484 grad_norm: 0.2060 recall@thr=0.5: 0.8726 prec@thr=0.5: 0.8690 recall@top3: 0.8881 prec@top3: 0.8333 recall@top5: 0.9857 prec@top5: 0.5643 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 21:46:40 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_135127 2022/08/10 21:46:40 - mmengine - INFO - Epoch(train) [10][3842/3842] lr: 1.9589e-10 eta: 0:00:01 time: 0.5185 data_time: 0.0186 memory: 10484 grad_norm: 0.2134 recall@thr=0.5: 0.9074 prec@thr=0.5: 1.0000 recall@top3: 0.9444 prec@top3: 0.8519 recall@top5: 0.9444 prec@top5: 0.5111 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 21:46:40 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/10 21:46:47 - mmengine - INFO - Epoch(val) [10][20/6282] eta: 0:08:05 time: 0.0775 data_time: 0.0223 memory: 703 2022/08/10 21:46:48 - mmengine - INFO - Epoch(val) [10][40/6282] eta: 0:05:53 time: 0.0567 data_time: 0.0062 memory: 703 2022/08/10 21:46:49 - mmengine - INFO - Epoch(val) [10][60/6282] eta: 0:05:55 time: 0.0571 data_time: 0.0076 memory: 703 2022/08/10 21:46:51 - mmengine - INFO - Epoch(val) [10][80/6282] eta: 0:06:05 time: 0.0590 data_time: 0.0101 memory: 703 2022/08/10 21:46:52 - mmengine - INFO - Epoch(val) [10][100/6282] eta: 0:05:55 time: 0.0575 data_time: 0.0074 memory: 703 2022/08/10 21:46:53 - mmengine - INFO - Epoch(val) [10][120/6282] eta: 0:06:51 time: 0.0668 data_time: 0.0095 memory: 809 2022/08/10 21:46:54 - mmengine - INFO - Epoch(val) [10][140/6282] eta: 0:07:25 time: 0.0725 data_time: 0.0075 memory: 809 2022/08/10 21:46:56 - mmengine - INFO - Epoch(val) [10][160/6282] eta: 0:07:45 time: 0.0760 data_time: 0.0105 memory: 809 2022/08/10 21:46:58 - mmengine - INFO - Epoch(val) [10][180/6282] eta: 0:07:32 time: 0.0742 data_time: 0.0082 memory: 809 2022/08/10 21:46:59 - mmengine - INFO - Epoch(val) [10][200/6282] eta: 0:09:19 time: 0.0921 data_time: 0.0085 memory: 809 2022/08/10 21:47:01 - mmengine - INFO - Epoch(val) [10][220/6282] eta: 0:06:14 time: 0.0618 data_time: 0.0090 memory: 738 2022/08/10 21:47:02 - mmengine - INFO - Epoch(val) [10][240/6282] eta: 0:06:13 time: 0.0617 data_time: 0.0096 memory: 738 2022/08/10 21:47:03 - mmengine - INFO - Epoch(val) [10][260/6282] eta: 0:05:53 time: 0.0587 data_time: 0.0067 memory: 738 2022/08/10 21:47:04 - mmengine - INFO - Epoch(val) [10][280/6282] eta: 0:06:12 time: 0.0620 data_time: 0.0087 memory: 738 2022/08/10 21:47:06 - mmengine - INFO - Epoch(val) [10][300/6282] eta: 0:06:34 time: 0.0659 data_time: 0.0095 memory: 809 2022/08/10 21:47:07 - mmengine - INFO - Epoch(val) [10][320/6282] eta: 0:08:10 time: 0.0823 data_time: 0.0195 memory: 809 2022/08/10 21:47:09 - mmengine - INFO - Epoch(val) [10][340/6282] eta: 0:09:13 time: 0.0932 data_time: 0.0287 memory: 809 2022/08/10 21:47:11 - mmengine - INFO - Epoch(val) [10][360/6282] eta: 0:10:08 time: 0.1028 data_time: 0.0374 memory: 809 2022/08/10 21:47:13 - mmengine - INFO - Epoch(val) [10][380/6282] eta: 0:08:59 time: 0.0914 data_time: 0.0203 memory: 809 2022/08/10 21:47:15 - mmengine - INFO - Epoch(val) [10][400/6282] eta: 0:08:44 time: 0.0892 data_time: 0.0312 memory: 809 2022/08/10 21:47:16 - mmengine - INFO - Epoch(val) [10][420/6282] eta: 0:06:07 time: 0.0627 data_time: 0.0092 memory: 743 2022/08/10 21:47:17 - mmengine - INFO - Epoch(val) [10][440/6282] eta: 0:05:27 time: 0.0560 data_time: 0.0062 memory: 743 2022/08/10 21:47:18 - mmengine - INFO - Epoch(val) [10][460/6282] eta: 0:05:57 time: 0.0615 data_time: 0.0082 memory: 743 2022/08/10 21:47:20 - mmengine - INFO - Epoch(val) [10][480/6282] eta: 0:05:42 time: 0.0590 data_time: 0.0067 memory: 743 2022/08/10 21:47:21 - mmengine - INFO - Epoch(val) [10][500/6282] eta: 0:05:37 time: 0.0584 data_time: 0.0069 memory: 743 2022/08/10 21:47:22 - mmengine - INFO - Epoch(val) [10][520/6282] eta: 0:05:54 time: 0.0615 data_time: 0.0088 memory: 738 2022/08/10 21:47:23 - mmengine - INFO - Epoch(val) [10][540/6282] eta: 0:05:42 time: 0.0597 data_time: 0.0080 memory: 738 2022/08/10 21:47:24 - mmengine - INFO - Epoch(val) [10][560/6282] eta: 0:05:31 time: 0.0579 data_time: 0.0077 memory: 738 2022/08/10 21:47:25 - mmengine - INFO - Epoch(val) [10][580/6282] eta: 0:05:18 time: 0.0559 data_time: 0.0052 memory: 738 2022/08/10 21:47:27 - mmengine - INFO - Epoch(val) [10][600/6282] eta: 0:05:14 time: 0.0554 data_time: 0.0061 memory: 738 2022/08/10 21:47:28 - mmengine - INFO - Epoch(val) [10][620/6282] eta: 0:05:04 time: 0.0538 data_time: 0.0049 memory: 738 2022/08/10 21:47:29 - mmengine - INFO - Epoch(val) [10][640/6282] eta: 0:07:54 time: 0.0841 data_time: 0.0083 memory: 733 2022/08/10 21:47:30 - mmengine - INFO - Epoch(val) [10][660/6282] eta: 0:04:55 time: 0.0526 data_time: 0.0060 memory: 733 2022/08/10 21:47:31 - mmengine - INFO - Epoch(val) [10][680/6282] eta: 0:04:54 time: 0.0525 data_time: 0.0060 memory: 733 2022/08/10 21:47:33 - mmengine - INFO - Epoch(val) [10][700/6282] eta: 0:04:51 time: 0.0523 data_time: 0.0048 memory: 733 2022/08/10 21:47:35 - mmengine - INFO - Epoch(val) [10][720/6282] eta: 0:09:32 time: 0.1029 data_time: 0.0453 memory: 809 2022/08/10 21:47:38 - mmengine - INFO - Epoch(val) [10][740/6282] eta: 0:14:25 time: 0.1562 data_time: 0.0973 memory: 809 2022/08/10 21:47:40 - mmengine - INFO - Epoch(val) [10][760/6282] eta: 0:12:46 time: 0.1388 data_time: 0.0773 memory: 809 2022/08/10 21:47:44 - mmengine - INFO - Epoch(val) [10][780/6282] eta: 0:16:23 time: 0.1787 data_time: 0.1147 memory: 809 2022/08/10 21:47:47 - mmengine - INFO - Epoch(val) [10][800/6282] eta: 0:14:24 time: 0.1577 data_time: 0.0926 memory: 809 2022/08/10 21:47:49 - mmengine - INFO - Epoch(val) [10][820/6282] eta: 0:09:50 time: 0.1082 data_time: 0.0504 memory: 809 2022/08/10 21:47:51 - mmengine - INFO - Epoch(val) [10][840/6282] eta: 0:05:13 time: 0.0577 data_time: 0.0069 memory: 738 2022/08/10 21:47:52 - mmengine - INFO - Epoch(val) [10][860/6282] eta: 0:05:12 time: 0.0576 data_time: 0.0073 memory: 738 2022/08/10 21:47:53 - mmengine - INFO - Epoch(val) [10][880/6282] eta: 0:05:43 time: 0.0636 data_time: 0.0092 memory: 738 2022/08/10 21:47:54 - mmengine - INFO - Epoch(val) [10][900/6282] eta: 0:05:17 time: 0.0590 data_time: 0.0069 memory: 738 2022/08/10 21:47:55 - mmengine - INFO - Epoch(val) [10][920/6282] eta: 0:05:30 time: 0.0616 data_time: 0.0060 memory: 738 2022/08/10 21:47:57 - mmengine - INFO - Epoch(val) [10][940/6282] eta: 0:05:07 time: 0.0576 data_time: 0.0059 memory: 703 2022/08/10 21:47:58 - mmengine - INFO - Epoch(val) [10][960/6282] eta: 0:05:07 time: 0.0578 data_time: 0.0058 memory: 703 2022/08/10 21:47:59 - mmengine - INFO - Epoch(val) [10][980/6282] eta: 0:05:23 time: 0.0610 data_time: 0.0087 memory: 703 2022/08/10 21:48:00 - mmengine - INFO - Epoch(val) [10][1000/6282] eta: 0:05:28 time: 0.0622 data_time: 0.0097 memory: 703 2022/08/10 21:48:01 - mmengine - INFO - Epoch(val) [10][1020/6282] eta: 0:04:57 time: 0.0565 data_time: 0.0060 memory: 738 2022/08/10 21:48:02 - mmengine - INFO - Epoch(val) [10][1040/6282] eta: 0:04:57 time: 0.0567 data_time: 0.0067 memory: 738 2022/08/10 21:48:04 - mmengine - INFO - Epoch(val) [10][1060/6282] eta: 0:04:58 time: 0.0571 data_time: 0.0060 memory: 738 2022/08/10 21:48:05 - mmengine - INFO - Epoch(val) [10][1080/6282] eta: 0:04:53 time: 0.0565 data_time: 0.0070 memory: 738 2022/08/10 21:48:07 - mmengine - INFO - Epoch(val) [10][1100/6282] eta: 0:10:39 time: 0.1233 data_time: 0.0788 memory: 738 2022/08/10 21:48:09 - mmengine - INFO - Epoch(val) [10][1120/6282] eta: 0:06:21 time: 0.0740 data_time: 0.0254 memory: 738 2022/08/10 21:48:11 - mmengine - INFO - Epoch(val) [10][1140/6282] eta: 0:08:52 time: 0.1035 data_time: 0.0565 memory: 738 2022/08/10 21:48:12 - mmengine - INFO - Epoch(val) [10][1160/6282] eta: 0:06:32 time: 0.0767 data_time: 0.0283 memory: 738 2022/08/10 21:48:13 - mmengine - INFO - Epoch(val) [10][1180/6282] eta: 0:04:29 time: 0.0529 data_time: 0.0046 memory: 738 2022/08/10 21:48:14 - mmengine - INFO - Epoch(val) [10][1200/6282] eta: 0:04:23 time: 0.0518 data_time: 0.0044 memory: 738 2022/08/10 21:48:15 - mmengine - INFO - Epoch(val) [10][1220/6282] eta: 0:04:25 time: 0.0525 data_time: 0.0050 memory: 738 2022/08/10 21:48:18 - mmengine - INFO - Epoch(val) [10][1240/6282] eta: 0:10:38 time: 0.1266 data_time: 0.0674 memory: 809 2022/08/10 21:48:20 - mmengine - INFO - Epoch(val) [10][1260/6282] eta: 0:09:42 time: 0.1161 data_time: 0.0311 memory: 809 2022/08/10 21:48:23 - mmengine - INFO - Epoch(val) [10][1280/6282] eta: 0:12:47 time: 0.1535 data_time: 0.0965 memory: 809 2022/08/10 21:48:26 - mmengine - INFO - Epoch(val) [10][1300/6282] eta: 0:09:17 time: 0.1118 data_time: 0.0547 memory: 809 2022/08/10 21:48:29 - mmengine - INFO - Epoch(val) [10][1320/6282] eta: 0:14:45 time: 0.1785 data_time: 0.1023 memory: 809 2022/08/10 21:48:32 - mmengine - INFO - Epoch(val) [10][1340/6282] eta: 0:11:04 time: 0.1345 data_time: 0.0765 memory: 809 2022/08/10 21:48:35 - mmengine - INFO - Epoch(val) [10][1360/6282] eta: 0:13:11 time: 0.1607 data_time: 0.1016 memory: 809 2022/08/10 21:48:38 - mmengine - INFO - Epoch(val) [10][1380/6282] eta: 0:09:57 time: 0.1219 data_time: 0.0612 memory: 809 2022/08/10 21:48:41 - mmengine - INFO - Epoch(val) [10][1400/6282] eta: 0:13:47 time: 0.1695 data_time: 0.1072 memory: 809 2022/08/10 21:48:44 - mmengine - INFO - Epoch(val) [10][1420/6282] eta: 0:11:29 time: 0.1417 data_time: 0.0794 memory: 809 2022/08/10 21:48:46 - mmengine - INFO - Epoch(val) [10][1440/6282] eta: 0:08:32 time: 0.1058 data_time: 0.0448 memory: 809 2022/08/10 21:48:47 - mmengine - INFO - Epoch(val) [10][1460/6282] eta: 0:05:20 time: 0.0664 data_time: 0.0076 memory: 809 2022/08/10 21:48:49 - mmengine - INFO - Epoch(val) [10][1480/6282] eta: 0:05:18 time: 0.0664 data_time: 0.0068 memory: 809 2022/08/10 21:48:50 - mmengine - INFO - Epoch(val) [10][1500/6282] eta: 0:05:02 time: 0.0633 data_time: 0.0070 memory: 809 2022/08/10 21:48:51 - mmengine - INFO - Epoch(val) [10][1520/6282] eta: 0:05:48 time: 0.0733 data_time: 0.0091 memory: 911 2022/08/10 21:48:53 - mmengine - INFO - Epoch(val) [10][1540/6282] eta: 0:06:25 time: 0.0812 data_time: 0.0094 memory: 911 2022/08/10 21:48:55 - mmengine - INFO - Epoch(val) [10][1560/6282] eta: 0:06:32 time: 0.0831 data_time: 0.0079 memory: 911 2022/08/10 21:48:56 - mmengine - INFO - Epoch(val) [10][1580/6282] eta: 0:06:25 time: 0.0820 data_time: 0.0070 memory: 911 2022/08/10 21:48:58 - mmengine - INFO - Epoch(val) [10][1600/6282] eta: 0:06:37 time: 0.0849 data_time: 0.0098 memory: 911 2022/08/10 21:49:00 - mmengine - INFO - Epoch(val) [10][1620/6282] eta: 0:06:39 time: 0.0858 data_time: 0.0095 memory: 911 2022/08/10 21:49:01 - mmengine - INFO - Epoch(val) [10][1640/6282] eta: 0:05:04 time: 0.0655 data_time: 0.0065 memory: 809 2022/08/10 21:49:02 - mmengine - INFO - Epoch(val) [10][1660/6282] eta: 0:05:00 time: 0.0650 data_time: 0.0057 memory: 809 2022/08/10 21:49:04 - mmengine - INFO - Epoch(val) [10][1680/6282] eta: 0:05:05 time: 0.0663 data_time: 0.0066 memory: 809 2022/08/10 21:49:05 - mmengine - INFO - Epoch(val) [10][1700/6282] eta: 0:04:57 time: 0.0649 data_time: 0.0055 memory: 809 2022/08/10 21:49:06 - mmengine - INFO - Epoch(val) [10][1720/6282] eta: 0:05:05 time: 0.0669 data_time: 0.0073 memory: 809 2022/08/10 21:49:08 - mmengine - INFO - Epoch(val) [10][1740/6282] eta: 0:04:54 time: 0.0648 data_time: 0.0054 memory: 809 2022/08/10 21:49:09 - mmengine - INFO - Epoch(val) [10][1760/6282] eta: 0:04:58 time: 0.0659 data_time: 0.0063 memory: 809 2022/08/10 21:49:10 - mmengine - INFO - Epoch(val) [10][1780/6282] eta: 0:04:42 time: 0.0628 data_time: 0.0059 memory: 809 2022/08/10 21:49:11 - mmengine - INFO - Epoch(val) [10][1800/6282] eta: 0:04:49 time: 0.0647 data_time: 0.0070 memory: 809 2022/08/10 21:49:13 - mmengine - INFO - Epoch(val) [10][1820/6282] eta: 0:04:43 time: 0.0635 data_time: 0.0062 memory: 809 2022/08/10 21:49:14 - mmengine - INFO - Epoch(val) [10][1840/6282] eta: 0:05:32 time: 0.0750 data_time: 0.0165 memory: 809 2022/08/10 21:49:17 - mmengine - INFO - Epoch(val) [10][1860/6282] eta: 0:10:52 time: 0.1475 data_time: 0.0895 memory: 809 2022/08/10 21:49:20 - mmengine - INFO - Epoch(val) [10][1880/6282] eta: 0:10:02 time: 0.1369 data_time: 0.0797 memory: 809 2022/08/10 21:49:23 - mmengine - INFO - Epoch(val) [10][1900/6282] eta: 0:13:03 time: 0.1789 data_time: 0.1177 memory: 809 2022/08/10 21:49:26 - mmengine - INFO - Epoch(val) [10][1920/6282] eta: 0:10:22 time: 0.1428 data_time: 0.0628 memory: 809 2022/08/10 21:49:29 - mmengine - INFO - Epoch(val) [10][1940/6282] eta: 0:10:03 time: 0.1389 data_time: 0.0744 memory: 809 2022/08/10 21:49:30 - mmengine - INFO - Epoch(val) [10][1960/6282] eta: 0:04:19 time: 0.0601 data_time: 0.0089 memory: 743 2022/08/10 21:49:32 - mmengine - INFO - Epoch(val) [10][1980/6282] eta: 0:04:22 time: 0.0611 data_time: 0.0083 memory: 743 2022/08/10 21:49:33 - mmengine - INFO - Epoch(val) [10][2000/6282] eta: 0:04:29 time: 0.0629 data_time: 0.0100 memory: 743 2022/08/10 21:49:34 - mmengine - INFO - Epoch(val) [10][2020/6282] eta: 0:04:31 time: 0.0638 data_time: 0.0097 memory: 743 2022/08/10 21:49:35 - mmengine - INFO - Epoch(val) [10][2040/6282] eta: 0:04:24 time: 0.0623 data_time: 0.0094 memory: 743 2022/08/10 21:49:37 - mmengine - INFO - Epoch(val) [10][2060/6282] eta: 0:04:22 time: 0.0622 data_time: 0.0090 memory: 743 2022/08/10 21:49:38 - mmengine - INFO - Epoch(val) [10][2080/6282] eta: 0:04:24 time: 0.0630 data_time: 0.0075 memory: 743 2022/08/10 21:49:39 - mmengine - INFO - Epoch(val) [10][2100/6282] eta: 0:04:25 time: 0.0634 data_time: 0.0097 memory: 743 2022/08/10 21:49:40 - mmengine - INFO - Epoch(val) [10][2120/6282] eta: 0:04:18 time: 0.0620 data_time: 0.0107 memory: 743 2022/08/10 21:49:42 - mmengine - INFO - Epoch(val) [10][2140/6282] eta: 0:04:03 time: 0.0588 data_time: 0.0088 memory: 743 2022/08/10 21:49:43 - mmengine - INFO - Epoch(val) [10][2160/6282] eta: 0:04:16 time: 0.0622 data_time: 0.0082 memory: 738 2022/08/10 21:49:44 - mmengine - INFO - Epoch(val) [10][2180/6282] eta: 0:03:50 time: 0.0561 data_time: 0.0057 memory: 738 2022/08/10 21:49:45 - mmengine - INFO - Epoch(val) [10][2200/6282] eta: 0:04:01 time: 0.0592 data_time: 0.0093 memory: 738 2022/08/10 21:49:46 - mmengine - INFO - Epoch(val) [10][2220/6282] eta: 0:04:04 time: 0.0601 data_time: 0.0082 memory: 738 2022/08/10 21:49:48 - mmengine - INFO - Epoch(val) [10][2240/6282] eta: 0:04:03 time: 0.0603 data_time: 0.0070 memory: 738 2022/08/10 21:49:49 - mmengine - INFO - Epoch(val) [10][2260/6282] eta: 0:03:58 time: 0.0592 data_time: 0.0072 memory: 743 2022/08/10 21:49:50 - mmengine - INFO - Epoch(val) [10][2280/6282] eta: 0:03:45 time: 0.0562 data_time: 0.0063 memory: 743 2022/08/10 21:49:51 - mmengine - INFO - Epoch(val) [10][2300/6282] eta: 0:03:52 time: 0.0584 data_time: 0.0073 memory: 743 2022/08/10 21:49:52 - mmengine - INFO - Epoch(val) [10][2320/6282] eta: 0:03:39 time: 0.0555 data_time: 0.0068 memory: 743 2022/08/10 21:49:53 - mmengine - INFO - Epoch(val) [10][2340/6282] eta: 0:03:53 time: 0.0591 data_time: 0.0066 memory: 743 2022/08/10 21:49:54 - mmengine - INFO - Epoch(val) [10][2360/6282] eta: 0:03:40 time: 0.0561 data_time: 0.0068 memory: 738 2022/08/10 21:49:55 - mmengine - INFO - Epoch(val) [10][2380/6282] eta: 0:03:26 time: 0.0529 data_time: 0.0051 memory: 738 2022/08/10 21:49:57 - mmengine - INFO - Epoch(val) [10][2400/6282] eta: 0:03:32 time: 0.0547 data_time: 0.0058 memory: 738 2022/08/10 21:49:58 - mmengine - INFO - Epoch(val) [10][2420/6282] eta: 0:03:29 time: 0.0543 data_time: 0.0049 memory: 738 2022/08/10 21:49:59 - mmengine - INFO - Epoch(val) [10][2440/6282] eta: 0:03:43 time: 0.0581 data_time: 0.0086 memory: 738 2022/08/10 21:50:00 - mmengine - INFO - Epoch(val) [10][2460/6282] eta: 0:04:49 time: 0.0758 data_time: 0.0055 memory: 809 2022/08/10 21:50:02 - mmengine - INFO - Epoch(val) [10][2480/6282] eta: 0:04:12 time: 0.0665 data_time: 0.0063 memory: 809 2022/08/10 21:50:03 - mmengine - INFO - Epoch(val) [10][2500/6282] eta: 0:05:01 time: 0.0796 data_time: 0.0197 memory: 809 2022/08/10 21:50:05 - mmengine - INFO - Epoch(val) [10][2520/6282] eta: 0:05:51 time: 0.0935 data_time: 0.0342 memory: 809 2022/08/10 21:50:07 - mmengine - INFO - Epoch(val) [10][2540/6282] eta: 0:05:28 time: 0.0879 data_time: 0.0276 memory: 809 2022/08/10 21:50:11 - mmengine - INFO - Epoch(val) [10][2560/6282] eta: 0:11:10 time: 0.1802 data_time: 0.1046 memory: 809 2022/08/10 21:50:13 - mmengine - INFO - Epoch(val) [10][2580/6282] eta: 0:07:10 time: 0.1163 data_time: 0.0567 memory: 809 2022/08/10 21:50:17 - mmengine - INFO - Epoch(val) [10][2600/6282] eta: 0:11:07 time: 0.1814 data_time: 0.1190 memory: 809 2022/08/10 21:50:19 - mmengine - INFO - Epoch(val) [10][2620/6282] eta: 0:08:27 time: 0.1385 data_time: 0.0786 memory: 809 2022/08/10 21:50:23 - mmengine - INFO - Epoch(val) [10][2640/6282] eta: 0:11:19 time: 0.1866 data_time: 0.1209 memory: 809 2022/08/10 21:50:25 - mmengine - INFO - Epoch(val) [10][2660/6282] eta: 0:04:53 time: 0.0811 data_time: 0.0068 memory: 902 2022/08/10 21:50:26 - mmengine - INFO - Epoch(val) [10][2680/6282] eta: 0:04:56 time: 0.0823 data_time: 0.0091 memory: 902 2022/08/10 21:50:28 - mmengine - INFO - Epoch(val) [10][2700/6282] eta: 0:04:56 time: 0.0827 data_time: 0.0070 memory: 902 2022/08/10 21:50:30 - mmengine - INFO - Epoch(val) [10][2720/6282] eta: 0:05:02 time: 0.0850 data_time: 0.0101 memory: 902 2022/08/10 21:50:31 - mmengine - INFO - Epoch(val) [10][2740/6282] eta: 0:04:40 time: 0.0791 data_time: 0.0100 memory: 902 2022/08/10 21:50:32 - mmengine - INFO - Epoch(val) [10][2760/6282] eta: 0:03:31 time: 0.0600 data_time: 0.0069 memory: 743 2022/08/10 21:50:34 - mmengine - INFO - Epoch(val) [10][2780/6282] eta: 0:03:20 time: 0.0573 data_time: 0.0070 memory: 743 2022/08/10 21:50:35 - mmengine - INFO - Epoch(val) [10][2800/6282] eta: 0:03:35 time: 0.0620 data_time: 0.0098 memory: 743 2022/08/10 21:50:36 - mmengine - INFO - Epoch(val) [10][2820/6282] eta: 0:03:18 time: 0.0573 data_time: 0.0088 memory: 743 2022/08/10 21:50:37 - mmengine - INFO - Epoch(val) [10][2840/6282] eta: 0:03:29 time: 0.0608 data_time: 0.0085 memory: 743 2022/08/10 21:50:39 - mmengine - INFO - Epoch(val) [10][2860/6282] eta: 0:03:53 time: 0.0682 data_time: 0.0108 memory: 809 2022/08/10 21:50:41 - mmengine - INFO - Epoch(val) [10][2880/6282] eta: 0:05:28 time: 0.0966 data_time: 0.0330 memory: 809 2022/08/10 21:50:42 - mmengine - INFO - Epoch(val) [10][2900/6282] eta: 0:05:08 time: 0.0912 data_time: 0.0298 memory: 809 2022/08/10 21:50:44 - mmengine - INFO - Epoch(val) [10][2920/6282] eta: 0:03:56 time: 0.0703 data_time: 0.0145 memory: 809 2022/08/10 21:50:45 - mmengine - INFO - Epoch(val) [10][2940/6282] eta: 0:03:30 time: 0.0630 data_time: 0.0066 memory: 773 2022/08/10 21:50:47 - mmengine - INFO - Epoch(val) [10][2960/6282] eta: 0:04:10 time: 0.0754 data_time: 0.0060 memory: 773 2022/08/10 21:50:48 - mmengine - INFO - Epoch(val) [10][2980/6282] eta: 0:03:24 time: 0.0620 data_time: 0.0090 memory: 773 2022/08/10 21:50:49 - mmengine - INFO - Epoch(val) [10][3000/6282] eta: 0:03:20 time: 0.0610 data_time: 0.0057 memory: 773 2022/08/10 21:50:50 - mmengine - INFO - Epoch(val) [10][3020/6282] eta: 0:03:37 time: 0.0665 data_time: 0.0085 memory: 809 2022/08/10 21:50:52 - mmengine - INFO - Epoch(val) [10][3040/6282] eta: 0:03:42 time: 0.0687 data_time: 0.0076 memory: 809 2022/08/10 21:50:53 - mmengine - INFO - Epoch(val) [10][3060/6282] eta: 0:03:44 time: 0.0696 data_time: 0.0084 memory: 809 2022/08/10 21:50:54 - mmengine - INFO - Epoch(val) [10][3080/6282] eta: 0:03:33 time: 0.0666 data_time: 0.0058 memory: 809 2022/08/10 21:50:56 - mmengine - INFO - Epoch(val) [10][3100/6282] eta: 0:03:25 time: 0.0644 data_time: 0.0078 memory: 809 2022/08/10 21:50:57 - mmengine - INFO - Epoch(val) [10][3120/6282] eta: 0:03:14 time: 0.0614 data_time: 0.0092 memory: 743 2022/08/10 21:50:58 - mmengine - INFO - Epoch(val) [10][3140/6282] eta: 0:03:06 time: 0.0593 data_time: 0.0086 memory: 743 2022/08/10 21:51:00 - mmengine - INFO - Epoch(val) [10][3160/6282] eta: 0:03:35 time: 0.0691 data_time: 0.0134 memory: 743 2022/08/10 21:51:01 - mmengine - INFO - Epoch(val) [10][3180/6282] eta: 0:02:51 time: 0.0552 data_time: 0.0053 memory: 743 2022/08/10 21:51:02 - mmengine - INFO - Epoch(val) [10][3200/6282] eta: 0:03:17 time: 0.0639 data_time: 0.0070 memory: 809 2022/08/10 21:51:04 - mmengine - INFO - Epoch(val) [10][3220/6282] eta: 0:04:29 time: 0.0879 data_time: 0.0309 memory: 809 2022/08/10 21:51:05 - mmengine - INFO - Epoch(val) [10][3240/6282] eta: 0:04:24 time: 0.0869 data_time: 0.0254 memory: 809 2022/08/10 21:51:07 - mmengine - INFO - Epoch(val) [10][3260/6282] eta: 0:04:55 time: 0.0979 data_time: 0.0336 memory: 809 2022/08/10 21:51:10 - mmengine - INFO - Epoch(val) [10][3280/6282] eta: 0:05:30 time: 0.1100 data_time: 0.0476 memory: 809 2022/08/10 21:51:11 - mmengine - INFO - Epoch(val) [10][3300/6282] eta: 0:03:20 time: 0.0673 data_time: 0.0071 memory: 809 2022/08/10 21:51:12 - mmengine - INFO - Epoch(val) [10][3320/6282] eta: 0:03:17 time: 0.0667 data_time: 0.0063 memory: 809 2022/08/10 21:51:14 - mmengine - INFO - Epoch(val) [10][3340/6282] eta: 0:03:33 time: 0.0724 data_time: 0.0086 memory: 809 2022/08/10 21:51:15 - mmengine - INFO - Epoch(val) [10][3360/6282] eta: 0:03:27 time: 0.0711 data_time: 0.0086 memory: 809 2022/08/10 21:51:16 - mmengine - INFO - Epoch(val) [10][3380/6282] eta: 0:03:10 time: 0.0656 data_time: 0.0074 memory: 809 2022/08/10 21:51:18 - mmengine - INFO - Epoch(val) [10][3400/6282] eta: 0:02:52 time: 0.0599 data_time: 0.0076 memory: 738 2022/08/10 21:51:19 - mmengine - INFO - Epoch(val) [10][3420/6282] eta: 0:03:07 time: 0.0655 data_time: 0.0082 memory: 738 2022/08/10 21:51:20 - mmengine - INFO - Epoch(val) [10][3440/6282] eta: 0:02:45 time: 0.0583 data_time: 0.0073 memory: 738 2022/08/10 21:51:21 - mmengine - INFO - Epoch(val) [10][3460/6282] eta: 0:02:48 time: 0.0597 data_time: 0.0089 memory: 738 2022/08/10 21:51:23 - mmengine - INFO - Epoch(val) [10][3480/6282] eta: 0:02:40 time: 0.0572 data_time: 0.0064 memory: 738 2022/08/10 21:51:24 - mmengine - INFO - Epoch(val) [10][3500/6282] eta: 0:02:41 time: 0.0581 data_time: 0.0070 memory: 738 2022/08/10 21:51:25 - mmengine - INFO - Epoch(val) [10][3520/6282] eta: 0:02:35 time: 0.0562 data_time: 0.0067 memory: 738 2022/08/10 21:51:26 - mmengine - INFO - Epoch(val) [10][3540/6282] eta: 0:02:36 time: 0.0571 data_time: 0.0073 memory: 738 2022/08/10 21:51:27 - mmengine - INFO - Epoch(val) [10][3560/6282] eta: 0:02:31 time: 0.0555 data_time: 0.0057 memory: 738 2022/08/10 21:51:28 - mmengine - INFO - Epoch(val) [10][3580/6282] eta: 0:02:35 time: 0.0575 data_time: 0.0075 memory: 789 2022/08/10 21:51:30 - mmengine - INFO - Epoch(val) [10][3600/6282] eta: 0:02:52 time: 0.0643 data_time: 0.0079 memory: 789 2022/08/10 21:51:31 - mmengine - INFO - Epoch(val) [10][3620/6282] eta: 0:02:54 time: 0.0654 data_time: 0.0076 memory: 789 2022/08/10 21:51:32 - mmengine - INFO - Epoch(val) [10][3640/6282] eta: 0:02:51 time: 0.0648 data_time: 0.0077 memory: 789 2022/08/10 21:51:33 - mmengine - INFO - Epoch(val) [10][3660/6282] eta: 0:02:46 time: 0.0633 data_time: 0.0073 memory: 789 2022/08/10 21:51:35 - mmengine - INFO - Epoch(val) [10][3680/6282] eta: 0:02:45 time: 0.0635 data_time: 0.0070 memory: 809 2022/08/10 21:51:36 - mmengine - INFO - Epoch(val) [10][3700/6282] eta: 0:03:16 time: 0.0761 data_time: 0.0183 memory: 809 2022/08/10 21:51:38 - mmengine - INFO - Epoch(val) [10][3720/6282] eta: 0:03:38 time: 0.0852 data_time: 0.0255 memory: 809 2022/08/10 21:51:39 - mmengine - INFO - Epoch(val) [10][3740/6282] eta: 0:03:21 time: 0.0792 data_time: 0.0168 memory: 809 2022/08/10 21:51:42 - mmengine - INFO - Epoch(val) [10][3760/6282] eta: 0:04:20 time: 0.1033 data_time: 0.0203 memory: 809 2022/08/10 21:51:43 - mmengine - INFO - Epoch(val) [10][3780/6282] eta: 0:03:06 time: 0.0744 data_time: 0.0081 memory: 809 2022/08/10 21:51:45 - mmengine - INFO - Epoch(val) [10][3800/6282] eta: 0:03:18 time: 0.0798 data_time: 0.0162 memory: 809 2022/08/10 21:51:47 - mmengine - INFO - Epoch(val) [10][3820/6282] eta: 0:04:19 time: 0.1053 data_time: 0.0452 memory: 809 2022/08/10 21:51:49 - mmengine - INFO - Epoch(val) [10][3840/6282] eta: 0:04:12 time: 0.1033 data_time: 0.0415 memory: 809 2022/08/10 21:51:50 - mmengine - INFO - Epoch(val) [10][3860/6282] eta: 0:03:21 time: 0.0834 data_time: 0.0200 memory: 809 2022/08/10 21:51:52 - mmengine - INFO - Epoch(val) [10][3880/6282] eta: 0:03:51 time: 0.0966 data_time: 0.0358 memory: 809 2022/08/10 21:51:54 - mmengine - INFO - Epoch(val) [10][3900/6282] eta: 0:03:22 time: 0.0849 data_time: 0.0214 memory: 809 2022/08/10 21:51:56 - mmengine - INFO - Epoch(val) [10][3920/6282] eta: 0:03:18 time: 0.0840 data_time: 0.0229 memory: 809 2022/08/10 21:51:58 - mmengine - INFO - Epoch(val) [10][3940/6282] eta: 0:03:33 time: 0.0910 data_time: 0.0308 memory: 809 2022/08/10 21:51:59 - mmengine - INFO - Epoch(val) [10][3960/6282] eta: 0:03:16 time: 0.0848 data_time: 0.0248 memory: 809 2022/08/10 21:52:01 - mmengine - INFO - Epoch(val) [10][3980/6282] eta: 0:02:32 time: 0.0664 data_time: 0.0059 memory: 809 2022/08/10 21:52:02 - mmengine - INFO - Epoch(val) [10][4000/6282] eta: 0:02:41 time: 0.0710 data_time: 0.0085 memory: 809 2022/08/10 21:52:03 - mmengine - INFO - Epoch(val) [10][4020/6282] eta: 0:02:36 time: 0.0693 data_time: 0.0077 memory: 809 2022/08/10 21:52:05 - mmengine - INFO - Epoch(val) [10][4040/6282] eta: 0:02:41 time: 0.0720 data_time: 0.0077 memory: 902 2022/08/10 21:52:07 - mmengine - INFO - Epoch(val) [10][4060/6282] eta: 0:03:00 time: 0.0813 data_time: 0.0094 memory: 902 2022/08/10 21:52:08 - mmengine - INFO - Epoch(val) [10][4080/6282] eta: 0:03:12 time: 0.0876 data_time: 0.0122 memory: 902 2022/08/10 21:52:10 - mmengine - INFO - Epoch(val) [10][4100/6282] eta: 0:03:10 time: 0.0874 data_time: 0.0106 memory: 902 2022/08/10 21:52:12 - mmengine - INFO - Epoch(val) [10][4120/6282] eta: 0:03:02 time: 0.0846 data_time: 0.0097 memory: 902 2022/08/10 21:52:13 - mmengine - INFO - Epoch(val) [10][4140/6282] eta: 0:02:30 time: 0.0702 data_time: 0.0081 memory: 902 2022/08/10 21:52:14 - mmengine - INFO - Epoch(val) [10][4160/6282] eta: 0:02:06 time: 0.0597 data_time: 0.0084 memory: 738 2022/08/10 21:52:16 - mmengine - INFO - Epoch(val) [10][4180/6282] eta: 0:02:04 time: 0.0591 data_time: 0.0085 memory: 738 2022/08/10 21:52:17 - mmengine - INFO - Epoch(val) [10][4200/6282] eta: 0:02:03 time: 0.0594 data_time: 0.0069 memory: 738 2022/08/10 21:52:18 - mmengine - INFO - Epoch(val) [10][4220/6282] eta: 0:01:58 time: 0.0574 data_time: 0.0077 memory: 738 2022/08/10 21:52:19 - mmengine - INFO - Epoch(val) [10][4240/6282] eta: 0:02:04 time: 0.0608 data_time: 0.0085 memory: 738 2022/08/10 21:52:20 - mmengine - INFO - Epoch(val) [10][4260/6282] eta: 0:01:56 time: 0.0575 data_time: 0.0088 memory: 736 2022/08/10 21:52:21 - mmengine - INFO - Epoch(val) [10][4280/6282] eta: 0:02:01 time: 0.0607 data_time: 0.0087 memory: 736 2022/08/10 21:52:23 - mmengine - INFO - Epoch(val) [10][4300/6282] eta: 0:02:01 time: 0.0615 data_time: 0.0119 memory: 736 2022/08/10 21:52:24 - mmengine - INFO - Epoch(val) [10][4320/6282] eta: 0:01:58 time: 0.0603 data_time: 0.0088 memory: 736 2022/08/10 21:52:25 - mmengine - INFO - Epoch(val) [10][4340/6282] eta: 0:01:55 time: 0.0594 data_time: 0.0077 memory: 736 2022/08/10 21:52:27 - mmengine - INFO - Epoch(val) [10][4360/6282] eta: 0:02:22 time: 0.0740 data_time: 0.0092 memory: 809 2022/08/10 21:52:28 - mmengine - INFO - Epoch(val) [10][4380/6282] eta: 0:02:12 time: 0.0697 data_time: 0.0074 memory: 809 2022/08/10 21:52:30 - mmengine - INFO - Epoch(val) [10][4400/6282] eta: 0:02:59 time: 0.0952 data_time: 0.0058 memory: 809 2022/08/10 21:52:31 - mmengine - INFO - Epoch(val) [10][4420/6282] eta: 0:02:11 time: 0.0707 data_time: 0.0070 memory: 809 2022/08/10 21:52:33 - mmengine - INFO - Epoch(val) [10][4440/6282] eta: 0:02:04 time: 0.0676 data_time: 0.0079 memory: 816 2022/08/10 21:52:34 - mmengine - INFO - Epoch(val) [10][4460/6282] eta: 0:02:07 time: 0.0700 data_time: 0.0087 memory: 816 2022/08/10 21:52:36 - mmengine - INFO - Epoch(val) [10][4480/6282] eta: 0:02:08 time: 0.0711 data_time: 0.0080 memory: 816 2022/08/10 21:52:37 - mmengine - INFO - Epoch(val) [10][4500/6282] eta: 0:02:00 time: 0.0674 data_time: 0.0066 memory: 816 2022/08/10 21:52:38 - mmengine - INFO - Epoch(val) [10][4520/6282] eta: 0:01:56 time: 0.0661 data_time: 0.0080 memory: 816 2022/08/10 21:52:40 - mmengine - INFO - Epoch(val) [10][4540/6282] eta: 0:02:30 time: 0.0866 data_time: 0.0069 memory: 743 2022/08/10 21:52:41 - mmengine - INFO - Epoch(val) [10][4560/6282] eta: 0:01:43 time: 0.0601 data_time: 0.0073 memory: 743 2022/08/10 21:52:42 - mmengine - INFO - Epoch(val) [10][4580/6282] eta: 0:01:43 time: 0.0610 data_time: 0.0112 memory: 743 2022/08/10 21:52:44 - mmengine - INFO - Epoch(val) [10][4600/6282] eta: 0:01:42 time: 0.0612 data_time: 0.0097 memory: 743 2022/08/10 21:52:45 - mmengine - INFO - Epoch(val) [10][4620/6282] eta: 0:01:36 time: 0.0578 data_time: 0.0095 memory: 743 2022/08/10 21:52:46 - mmengine - INFO - Epoch(val) [10][4640/6282] eta: 0:01:59 time: 0.0726 data_time: 0.0089 memory: 816 2022/08/10 21:52:48 - mmengine - INFO - Epoch(val) [10][4660/6282] eta: 0:01:56 time: 0.0720 data_time: 0.0088 memory: 816 2022/08/10 21:52:49 - mmengine - INFO - Epoch(val) [10][4680/6282] eta: 0:01:56 time: 0.0727 data_time: 0.0086 memory: 816 2022/08/10 21:52:51 - mmengine - INFO - Epoch(val) [10][4700/6282] eta: 0:02:36 time: 0.0988 data_time: 0.0098 memory: 816 2022/08/10 21:52:52 - mmengine - INFO - Epoch(val) [10][4720/6282] eta: 0:01:50 time: 0.0705 data_time: 0.0085 memory: 816 2022/08/10 21:52:54 - mmengine - INFO - Epoch(val) [10][4740/6282] eta: 0:01:34 time: 0.0614 data_time: 0.0076 memory: 768 2022/08/10 21:52:55 - mmengine - INFO - Epoch(val) [10][4760/6282] eta: 0:01:34 time: 0.0622 data_time: 0.0072 memory: 768 2022/08/10 21:52:56 - mmengine - INFO - Epoch(val) [10][4780/6282] eta: 0:01:35 time: 0.0637 data_time: 0.0078 memory: 768 2022/08/10 21:52:58 - mmengine - INFO - Epoch(val) [10][4800/6282] eta: 0:01:38 time: 0.0665 data_time: 0.0117 memory: 768 2022/08/10 21:52:59 - mmengine - INFO - Epoch(val) [10][4820/6282] eta: 0:01:39 time: 0.0683 data_time: 0.0073 memory: 809 2022/08/10 21:53:00 - mmengine - INFO - Epoch(val) [10][4840/6282] eta: 0:01:35 time: 0.0663 data_time: 0.0078 memory: 809 2022/08/10 21:53:02 - mmengine - INFO - Epoch(val) [10][4860/6282] eta: 0:02:16 time: 0.0961 data_time: 0.0082 memory: 809 2022/08/10 21:53:04 - mmengine - INFO - Epoch(val) [10][4880/6282] eta: 0:01:37 time: 0.0692 data_time: 0.0081 memory: 809 2022/08/10 21:53:05 - mmengine - INFO - Epoch(val) [10][4900/6282] eta: 0:01:40 time: 0.0727 data_time: 0.0096 memory: 809 2022/08/10 21:53:06 - mmengine - INFO - Epoch(val) [10][4920/6282] eta: 0:01:36 time: 0.0709 data_time: 0.0088 memory: 811 2022/08/10 21:53:08 - mmengine - INFO - Epoch(val) [10][4940/6282] eta: 0:01:36 time: 0.0719 data_time: 0.0084 memory: 811 2022/08/10 21:53:09 - mmengine - INFO - Epoch(val) [10][4960/6282] eta: 0:01:37 time: 0.0737 data_time: 0.0100 memory: 811 2022/08/10 21:53:11 - mmengine - INFO - Epoch(val) [10][4980/6282] eta: 0:01:33 time: 0.0716 data_time: 0.0088 memory: 811 2022/08/10 21:53:12 - mmengine - INFO - Epoch(val) [10][5000/6282] eta: 0:01:33 time: 0.0728 data_time: 0.0085 memory: 811 2022/08/10 21:53:14 - mmengine - INFO - Epoch(val) [10][5020/6282] eta: 0:01:22 time: 0.0653 data_time: 0.0066 memory: 811 2022/08/10 21:53:15 - mmengine - INFO - Epoch(val) [10][5040/6282] eta: 0:01:46 time: 0.0857 data_time: 0.0096 memory: 743 2022/08/10 21:53:17 - mmengine - INFO - Epoch(val) [10][5060/6282] eta: 0:01:14 time: 0.0609 data_time: 0.0090 memory: 743 2022/08/10 21:53:18 - mmengine - INFO - Epoch(val) [10][5080/6282] eta: 0:01:15 time: 0.0629 data_time: 0.0082 memory: 743 2022/08/10 21:53:19 - mmengine - INFO - Epoch(val) [10][5100/6282] eta: 0:01:14 time: 0.0634 data_time: 0.0103 memory: 743 2022/08/10 21:53:20 - mmengine - INFO - Epoch(val) [10][5120/6282] eta: 0:01:10 time: 0.0608 data_time: 0.0086 memory: 743 2022/08/10 21:53:21 - mmengine - INFO - Epoch(val) [10][5140/6282] eta: 0:01:07 time: 0.0589 data_time: 0.0064 memory: 738 2022/08/10 21:53:23 - mmengine - INFO - Epoch(val) [10][5160/6282] eta: 0:01:08 time: 0.0613 data_time: 0.0077 memory: 738 2022/08/10 21:53:24 - mmengine - INFO - Epoch(val) [10][5180/6282] eta: 0:01:03 time: 0.0580 data_time: 0.0077 memory: 738 2022/08/10 21:53:25 - mmengine - INFO - Epoch(val) [10][5200/6282] eta: 0:01:06 time: 0.0611 data_time: 0.0095 memory: 738 2022/08/10 21:53:27 - mmengine - INFO - Epoch(val) [10][5220/6282] eta: 0:01:21 time: 0.0764 data_time: 0.0069 memory: 738 2022/08/10 21:53:28 - mmengine - INFO - Epoch(val) [10][5240/6282] eta: 0:01:03 time: 0.0610 data_time: 0.0112 memory: 736 2022/08/10 21:53:29 - mmengine - INFO - Epoch(val) [10][5260/6282] eta: 0:01:02 time: 0.0609 data_time: 0.0071 memory: 736 2022/08/10 21:53:30 - mmengine - INFO - Epoch(val) [10][5280/6282] eta: 0:01:02 time: 0.0620 data_time: 0.0094 memory: 736 2022/08/10 21:53:32 - mmengine - INFO - Epoch(val) [10][5300/6282] eta: 0:01:01 time: 0.0626 data_time: 0.0103 memory: 736 2022/08/10 21:53:33 - mmengine - INFO - Epoch(val) [10][5320/6282] eta: 0:00:58 time: 0.0612 data_time: 0.0081 memory: 738 2022/08/10 21:53:34 - mmengine - INFO - Epoch(val) [10][5340/6282] eta: 0:01:01 time: 0.0649 data_time: 0.0100 memory: 738 2022/08/10 21:53:35 - mmengine - INFO - Epoch(val) [10][5360/6282] eta: 0:00:59 time: 0.0640 data_time: 0.0118 memory: 738 2022/08/10 21:53:37 - mmengine - INFO - Epoch(val) [10][5380/6282] eta: 0:00:56 time: 0.0623 data_time: 0.0090 memory: 738 2022/08/10 21:53:38 - mmengine - INFO - Epoch(val) [10][5400/6282] eta: 0:00:52 time: 0.0592 data_time: 0.0101 memory: 738 2022/08/10 21:53:39 - mmengine - INFO - Epoch(val) [10][5420/6282] eta: 0:00:52 time: 0.0614 data_time: 0.0086 memory: 738 2022/08/10 21:53:40 - mmengine - INFO - Epoch(val) [10][5440/6282] eta: 0:00:50 time: 0.0605 data_time: 0.0087 memory: 738 2022/08/10 21:53:42 - mmengine - INFO - Epoch(val) [10][5460/6282] eta: 0:00:52 time: 0.0636 data_time: 0.0095 memory: 738 2022/08/10 21:53:43 - mmengine - INFO - Epoch(val) [10][5480/6282] eta: 0:00:47 time: 0.0590 data_time: 0.0079 memory: 738 2022/08/10 21:53:44 - mmengine - INFO - Epoch(val) [10][5500/6282] eta: 0:00:46 time: 0.0590 data_time: 0.0063 memory: 738 2022/08/10 21:53:45 - mmengine - INFO - Epoch(val) [10][5520/6282] eta: 0:00:48 time: 0.0636 data_time: 0.0076 memory: 763 2022/08/10 21:53:47 - mmengine - INFO - Epoch(val) [10][5540/6282] eta: 0:00:56 time: 0.0760 data_time: 0.0095 memory: 763 2022/08/10 21:53:48 - mmengine - INFO - Epoch(val) [10][5560/6282] eta: 0:00:46 time: 0.0644 data_time: 0.0092 memory: 763 2022/08/10 21:53:49 - mmengine - INFO - Epoch(val) [10][5580/6282] eta: 0:00:44 time: 0.0632 data_time: 0.0089 memory: 763 2022/08/10 21:53:51 - mmengine - INFO - Epoch(val) [10][5600/6282] eta: 0:00:45 time: 0.0671 data_time: 0.0105 memory: 763 2022/08/10 21:53:52 - mmengine - INFO - Epoch(val) [10][5620/6282] eta: 0:00:40 time: 0.0605 data_time: 0.0079 memory: 763 2022/08/10 21:53:53 - mmengine - INFO - Epoch(val) [10][5640/6282] eta: 0:00:40 time: 0.0624 data_time: 0.0127 memory: 738 2022/08/10 21:53:54 - mmengine - INFO - Epoch(val) [10][5660/6282] eta: 0:00:35 time: 0.0578 data_time: 0.0072 memory: 738 2022/08/10 21:53:55 - mmengine - INFO - Epoch(val) [10][5680/6282] eta: 0:00:35 time: 0.0582 data_time: 0.0074 memory: 738 2022/08/10 21:53:57 - mmengine - INFO - Epoch(val) [10][5700/6282] eta: 0:00:35 time: 0.0616 data_time: 0.0064 memory: 738 2022/08/10 21:53:58 - mmengine - INFO - Epoch(val) [10][5720/6282] eta: 0:00:34 time: 0.0620 data_time: 0.0077 memory: 780 2022/08/10 21:53:59 - mmengine - INFO - Epoch(val) [10][5740/6282] eta: 0:00:31 time: 0.0575 data_time: 0.0060 memory: 780 2022/08/10 21:54:00 - mmengine - INFO - Epoch(val) [10][5760/6282] eta: 0:00:29 time: 0.0571 data_time: 0.0062 memory: 780 2022/08/10 21:54:01 - mmengine - INFO - Epoch(val) [10][5780/6282] eta: 0:00:27 time: 0.0551 data_time: 0.0053 memory: 780 2022/08/10 21:54:02 - mmengine - INFO - Epoch(val) [10][5800/6282] eta: 0:00:26 time: 0.0543 data_time: 0.0044 memory: 780 2022/08/10 21:54:04 - mmengine - INFO - Epoch(val) [10][5820/6282] eta: 0:00:25 time: 0.0544 data_time: 0.0046 memory: 780 2022/08/10 21:54:05 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:24 time: 0.0560 data_time: 0.0066 memory: 763 2022/08/10 21:54:06 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:22 time: 0.0539 data_time: 0.0045 memory: 763 2022/08/10 21:54:07 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:21 time: 0.0542 data_time: 0.0061 memory: 763 2022/08/10 21:54:08 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:20 time: 0.0542 data_time: 0.0038 memory: 763 2022/08/10 21:54:09 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:19 time: 0.0532 data_time: 0.0054 memory: 763 2022/08/10 21:54:10 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:17 time: 0.0501 data_time: 0.0044 memory: 738 2022/08/10 21:54:11 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:16 time: 0.0503 data_time: 0.0039 memory: 738 2022/08/10 21:54:12 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:14 time: 0.0489 data_time: 0.0038 memory: 738 2022/08/10 21:54:13 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:16 time: 0.0571 data_time: 0.0053 memory: 809 2022/08/10 21:54:14 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:15 time: 0.0587 data_time: 0.0051 memory: 809 2022/08/10 21:54:15 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:13 time: 0.0569 data_time: 0.0050 memory: 809 2022/08/10 21:54:17 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:12 time: 0.0560 data_time: 0.0040 memory: 809 2022/08/10 21:54:18 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:11 time: 0.0573 data_time: 0.0054 memory: 809 2022/08/10 21:54:19 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:15 time: 0.0825 data_time: 0.0049 memory: 809 2022/08/10 21:54:20 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:09 time: 0.0557 data_time: 0.0042 memory: 809 2022/08/10 21:54:22 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:07 time: 0.0562 data_time: 0.0038 memory: 809 2022/08/10 21:54:23 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:07 time: 0.0578 data_time: 0.0042 memory: 809 2022/08/10 21:54:24 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:05 time: 0.0556 data_time: 0.0041 memory: 809 2022/08/10 21:54:25 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:04 time: 0.0551 data_time: 0.0035 memory: 809 2022/08/10 21:54:26 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:03 time: 0.0550 data_time: 0.0038 memory: 809 2022/08/10 21:54:27 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:02 time: 0.0550 data_time: 0.0038 memory: 809 2022/08/10 21:54:28 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:01 time: 0.0546 data_time: 0.0037 memory: 809 2022/08/10 21:54:30 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0728 data_time: 0.0049 memory: 809 2022/08/10 21:58:53 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.2582