2022/08/08 19:45:46 - mmengine - INFO - 184378 out of 184378 frames are valid. 2022/08/08 19:45:56 - 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 2022/08/08 19:45:58 - 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 2022/08/08 19:45:58 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8 by HardDiskBackend. 2022/08/08 19:48:08 - mmengine - INFO - Epoch(train) [1][20/2881] lr: 1.0000e-02 eta: 4 days, 7:37:10 time: 6.4762 data_time: 3.3587 memory: 49702 grad_norm: 0.9405 recall@thr=0.5: 0.1078 prec@thr=0.5: 0.2353 recall@top3: 0.4706 prec@top3: 0.4314 recall@top5: 0.7794 prec@top5: 0.4353 loss_action_cls: 0.1890 loss: 0.1890 2022/08/08 19:48:50 - mmengine - INFO - Epoch(train) [1][40/2881] lr: 1.0000e-02 eta: 2 days, 20:51:10 time: 2.1334 data_time: 0.0207 memory: 13802 grad_norm: 0.2941 recall@thr=0.5: 0.2841 prec@thr=0.5: 0.3864 recall@top3: 0.6288 prec@top3: 0.4545 recall@top5: 0.7765 prec@top5: 0.3364 loss_action_cls: 0.1200 loss: 0.1200 2022/08/08 19:49:10 - mmengine - INFO - Epoch(train) [1][60/2881] lr: 1.0000e-02 eta: 2 days, 3:03:33 time: 0.9707 data_time: 0.0245 memory: 13802 grad_norm: 0.2494 recall@thr=0.5: 0.2716 prec@thr=0.5: 0.3827 recall@top3: 0.4074 prec@top3: 0.3086 recall@top5: 0.5525 prec@top5: 0.2593 loss_action_cls: 0.1040 loss: 0.1040 2022/08/08 19:49:22 - mmengine - INFO - Epoch(train) [1][80/2881] lr: 1.0000e-02 eta: 1 day, 16:47:55 time: 0.6300 data_time: 0.0241 memory: 13802 grad_norm: 0.2429 recall@thr=0.5: 0.2138 prec@thr=0.5: 0.4493 recall@top3: 0.5326 prec@top3: 0.4203 recall@top5: 0.8514 prec@top5: 0.4000 loss_action_cls: 0.0924 loss: 0.0924 2022/08/08 19:49:35 - mmengine - INFO - Epoch(train) [1][100/2881] lr: 1.0000e-02 eta: 1 day, 10:36:36 time: 0.6204 data_time: 0.0198 memory: 13802 grad_norm: 0.2327 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4167 recall@top3: 0.6250 prec@top3: 0.6000 recall@top5: 0.9167 prec@top5: 0.5400 loss_action_cls: 0.0909 loss: 0.0909 2022/08/08 19:49:47 - mmengine - INFO - Epoch(train) [1][120/2881] lr: 1.0000e-02 eta: 1 day, 6:29:29 time: 0.6235 data_time: 0.0182 memory: 13802 grad_norm: 0.2023 recall@thr=0.5: 0.3981 prec@thr=0.5: 0.3981 recall@top3: 0.6698 prec@top3: 0.5185 recall@top5: 0.9136 prec@top5: 0.4296 loss_action_cls: 0.1031 loss: 0.1031 2022/08/08 19:49:59 - mmengine - INFO - Epoch(train) [1][140/2881] lr: 1.0000e-02 eta: 1 day, 3:29:52 time: 0.6012 data_time: 0.0208 memory: 13802 grad_norm: 0.2029 recall@thr=0.5: 0.4053 prec@thr=0.5: 0.5909 recall@top3: 0.6894 prec@top3: 0.6212 recall@top5: 0.8674 prec@top5: 0.4545 loss_action_cls: 0.0956 loss: 0.0956 2022/08/08 19:50:12 - mmengine - INFO - Epoch(train) [1][160/2881] lr: 1.0000e-02 eta: 1 day, 1:19:07 time: 0.6349 data_time: 0.0173 memory: 13802 grad_norm: 0.2011 recall@thr=0.5: 0.3858 prec@thr=0.5: 0.5792 recall@top3: 0.5850 prec@top3: 0.5833 recall@top5: 0.8800 prec@top5: 0.5200 loss_action_cls: 0.1034 loss: 0.1034 2022/08/08 19:50:24 - mmengine - INFO - Epoch(train) [1][180/2881] lr: 1.0000e-02 eta: 23:37:00 time: 0.6311 data_time: 0.0184 memory: 13802 grad_norm: 0.1851 recall@thr=0.5: 0.2917 prec@thr=0.5: 0.4242 recall@top3: 0.4545 prec@top3: 0.4091 recall@top5: 0.5606 prec@top5: 0.3091 loss_action_cls: 0.0947 loss: 0.0947 2022/08/08 19:50:36 - mmengine - INFO - Epoch(train) [1][200/2881] lr: 1.0000e-02 eta: 22:12:15 time: 0.5999 data_time: 0.0177 memory: 13802 grad_norm: 0.2180 recall@thr=0.5: 0.3931 prec@thr=0.5: 0.5417 recall@top3: 0.5208 prec@top3: 0.4722 recall@top5: 0.7444 prec@top5: 0.4000 loss_action_cls: 0.0899 loss: 0.0899 2022/08/08 19:50:49 - mmengine - INFO - Epoch(train) [1][220/2881] lr: 1.0000e-02 eta: 21:03:52 time: 0.6111 data_time: 0.0236 memory: 13802 grad_norm: 0.2069 recall@thr=0.5: 0.5103 prec@thr=0.5: 0.7853 recall@top3: 0.7686 prec@top3: 0.8077 recall@top5: 0.9487 prec@top5: 0.6154 loss_action_cls: 0.0904 loss: 0.0904 2022/08/08 19:51:01 - mmengine - INFO - Epoch(train) [1][240/2881] lr: 1.0000e-02 eta: 20:08:40 time: 0.6339 data_time: 0.0165 memory: 13802 grad_norm: 0.1837 recall@thr=0.5: 0.2976 prec@thr=0.5: 0.3512 recall@top3: 0.4673 prec@top3: 0.3214 recall@top5: 0.7143 prec@top5: 0.3071 loss_action_cls: 0.1010 loss: 0.1010 2022/08/08 19:51:14 - mmengine - INFO - Epoch(train) [1][260/2881] lr: 1.0000e-02 eta: 19:21:04 time: 0.6224 data_time: 0.0192 memory: 13802 grad_norm: 0.2033 recall@thr=0.5: 0.3363 prec@thr=0.5: 0.5833 recall@top3: 0.4613 prec@top3: 0.3452 recall@top5: 0.6429 prec@top5: 0.3000 loss_action_cls: 0.0970 loss: 0.0970 2022/08/08 19:51:26 - mmengine - INFO - Epoch(train) [1][280/2881] lr: 1.0000e-02 eta: 18:40:14 time: 0.6223 data_time: 0.0183 memory: 13802 grad_norm: 0.1917 recall@thr=0.5: 0.5568 prec@thr=0.5: 0.7500 recall@top3: 0.6667 prec@top3: 0.5909 recall@top5: 0.9242 prec@top5: 0.4909 loss_action_cls: 0.0955 loss: 0.0955 2022/08/08 19:51:39 - mmengine - INFO - Epoch(train) [1][300/2881] lr: 1.0000e-02 eta: 18:04:56 time: 0.6241 data_time: 0.0184 memory: 13802 grad_norm: 0.1893 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.7458 recall@top3: 0.6833 prec@top3: 0.5167 recall@top5: 0.8333 prec@top5: 0.3900 loss_action_cls: 0.0752 loss: 0.0752 2022/08/08 19:51:51 - mmengine - INFO - Epoch(train) [1][320/2881] lr: 1.0000e-02 eta: 17:33:56 time: 0.6225 data_time: 0.0189 memory: 13802 grad_norm: 0.2054 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.7121 recall@top3: 0.8030 prec@top3: 0.7121 recall@top5: 0.8864 prec@top5: 0.4727 loss_action_cls: 0.0873 loss: 0.0873 2022/08/08 19:52:04 - mmengine - INFO - Epoch(train) [1][340/2881] lr: 1.0000e-02 eta: 17:07:05 time: 0.6320 data_time: 0.0199 memory: 13802 grad_norm: 0.1833 recall@thr=0.5: 0.3472 prec@thr=0.5: 0.4500 recall@top3: 0.6167 prec@top3: 0.5111 recall@top5: 0.9194 prec@top5: 0.4667 loss_action_cls: 0.0968 loss: 0.0968 2022/08/08 19:52:16 - mmengine - INFO - Epoch(train) [1][360/2881] lr: 1.0000e-02 eta: 16:42:46 time: 0.6242 data_time: 0.0194 memory: 13802 grad_norm: 0.1882 recall@thr=0.5: 0.3611 prec@thr=0.5: 0.3796 recall@top3: 0.5417 prec@top3: 0.3333 recall@top5: 0.7639 prec@top5: 0.2833 loss_action_cls: 0.0971 loss: 0.0971 2022/08/08 19:52:29 - mmengine - INFO - Epoch(train) [1][380/2881] lr: 1.0000e-02 eta: 16:21:10 time: 0.6273 data_time: 0.0197 memory: 13802 grad_norm: 0.1920 recall@thr=0.5: 0.5069 prec@thr=0.5: 0.6753 recall@top3: 0.7236 prec@top3: 0.6437 recall@top5: 0.9241 prec@top5: 0.5103 loss_action_cls: 0.0941 loss: 0.0941 2022/08/08 19:52:41 - mmengine - INFO - Epoch(train) [1][400/2881] lr: 1.0000e-02 eta: 16:00:39 time: 0.6055 data_time: 0.0185 memory: 13802 grad_norm: 0.2084 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.6944 recall@top3: 0.7569 prec@top3: 0.6111 recall@top5: 0.9042 prec@top5: 0.4667 loss_action_cls: 0.0686 loss: 0.0686 2022/08/08 19:52:53 - mmengine - INFO - Epoch(train) [1][420/2881] lr: 1.0000e-02 eta: 15:42:50 time: 0.6223 data_time: 0.0187 memory: 13802 grad_norm: 0.1914 recall@thr=0.5: 0.4213 prec@thr=0.5: 0.4867 recall@top3: 0.5147 prec@top3: 0.3867 recall@top5: 0.7307 prec@top5: 0.3520 loss_action_cls: 0.0884 loss: 0.0884 2022/08/08 19:53:06 - mmengine - INFO - Epoch(train) [1][440/2881] lr: 1.0000e-02 eta: 15:26:37 time: 0.6222 data_time: 0.0202 memory: 13802 grad_norm: 0.1975 recall@thr=0.5: 0.4969 prec@thr=0.5: 0.7315 recall@top3: 0.6636 prec@top3: 0.6049 recall@top5: 0.8148 prec@top5: 0.4444 loss_action_cls: 0.0808 loss: 0.0808 2022/08/08 19:53:19 - mmengine - INFO - Epoch(train) [1][460/2881] lr: 1.0000e-02 eta: 15:12:13 time: 0.6325 data_time: 0.0185 memory: 13802 grad_norm: 0.1987 recall@thr=0.5: 0.4118 prec@thr=0.5: 0.5196 recall@top3: 0.6667 prec@top3: 0.5294 recall@top5: 0.8431 prec@top5: 0.4000 loss_action_cls: 0.0969 loss: 0.0969 2022/08/08 19:53:31 - mmengine - INFO - Epoch(train) [1][480/2881] lr: 1.0000e-02 eta: 14:58:54 time: 0.6301 data_time: 0.0204 memory: 13802 grad_norm: 0.1913 recall@thr=0.5: 0.3225 prec@thr=0.5: 0.6333 recall@top3: 0.4242 prec@top3: 0.4833 recall@top5: 0.6358 prec@top5: 0.4300 loss_action_cls: 0.1026 loss: 0.1026 2022/08/08 19:53:44 - mmengine - INFO - Epoch(train) [1][500/2881] lr: 1.0000e-02 eta: 14:46:17 time: 0.6210 data_time: 0.0203 memory: 13802 grad_norm: 0.1943 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6000 recall@top3: 0.7063 prec@top3: 0.6349 recall@top5: 0.8968 prec@top5: 0.4952 loss_action_cls: 0.0997 loss: 0.0997 2022/08/08 19:53:56 - mmengine - INFO - Epoch(train) [1][520/2881] lr: 1.0000e-02 eta: 14:34:11 time: 0.6089 data_time: 0.0199 memory: 13802 grad_norm: 0.1864 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5083 recall@top3: 0.7500 prec@top3: 0.3833 recall@top5: 0.8000 prec@top5: 0.2500 loss_action_cls: 0.1001 loss: 0.1001 2022/08/08 19:54:08 - mmengine - INFO - Epoch(train) [1][540/2881] lr: 1.0000e-02 eta: 14:23:41 time: 0.6290 data_time: 0.0236 memory: 13802 grad_norm: 0.1878 recall@thr=0.5: 0.2302 prec@thr=0.5: 0.3571 recall@top3: 0.7063 prec@top3: 0.5079 recall@top5: 0.8095 prec@top5: 0.3619 loss_action_cls: 0.1047 loss: 0.1047 2022/08/08 19:54:20 - mmengine - INFO - Epoch(train) [1][560/2881] lr: 1.0000e-02 eta: 14:13:11 time: 0.6078 data_time: 0.0208 memory: 13802 grad_norm: 0.2100 recall@thr=0.5: 0.5398 prec@thr=0.5: 0.7917 recall@top3: 0.7361 prec@top3: 0.6111 recall@top5: 0.9083 prec@top5: 0.4667 loss_action_cls: 0.0826 loss: 0.0826 2022/08/08 19:54:33 - mmengine - INFO - Epoch(train) [1][580/2881] lr: 1.0000e-02 eta: 14:04:08 time: 0.6304 data_time: 0.0228 memory: 13802 grad_norm: 0.1890 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.6275 recall@top3: 0.7549 prec@top3: 0.4902 recall@top5: 0.9118 prec@top5: 0.3647 loss_action_cls: 0.0826 loss: 0.0826 2022/08/08 19:54:46 - mmengine - INFO - Epoch(train) [1][600/2881] lr: 1.0000e-02 eta: 13:55:34 time: 0.6268 data_time: 0.0195 memory: 13802 grad_norm: 0.1955 recall@thr=0.5: 0.4862 prec@thr=0.5: 0.6063 recall@top3: 0.6299 prec@top3: 0.5747 recall@top5: 0.8322 prec@top5: 0.4621 loss_action_cls: 0.0817 loss: 0.0817 2022/08/08 19:54:58 - mmengine - INFO - Epoch(train) [1][620/2881] lr: 1.0000e-02 eta: 13:46:43 time: 0.6000 data_time: 0.0202 memory: 13802 grad_norm: 0.1988 recall@thr=0.5: 0.3913 prec@thr=0.5: 0.5145 recall@top3: 0.6304 prec@top3: 0.4493 recall@top5: 0.7754 prec@top5: 0.3478 loss_action_cls: 0.0950 loss: 0.0950 2022/08/08 19:55:11 - mmengine - INFO - Epoch(train) [1][640/2881] lr: 1.0000e-02 eta: 13:39:53 time: 0.6499 data_time: 0.0200 memory: 13802 grad_norm: 0.1947 recall@thr=0.5: 0.4006 prec@thr=0.5: 0.5690 recall@top3: 0.6333 prec@top3: 0.4943 recall@top5: 0.8511 prec@top5: 0.4138 loss_action_cls: 0.0858 loss: 0.0858 2022/08/08 19:55:23 - mmengine - INFO - Epoch(train) [1][660/2881] lr: 1.0000e-02 eta: 13:32:50 time: 0.6282 data_time: 0.0238 memory: 13802 grad_norm: 0.2023 recall@thr=0.5: 0.4265 prec@thr=0.5: 0.7255 recall@top3: 0.7745 prec@top3: 0.6863 recall@top5: 0.9265 prec@top5: 0.4941 loss_action_cls: 0.0893 loss: 0.0893 2022/08/08 19:55:36 - mmengine - INFO - Epoch(train) [1][680/2881] lr: 1.0000e-02 eta: 13:26:05 time: 0.6246 data_time: 0.0195 memory: 13802 grad_norm: 0.1814 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6000 recall@top3: 0.5778 prec@top3: 0.4222 recall@top5: 0.7333 prec@top5: 0.3467 loss_action_cls: 0.1052 loss: 0.1052 2022/08/08 19:55:48 - mmengine - INFO - Epoch(train) [1][700/2881] lr: 1.0000e-02 eta: 13:20:00 time: 0.6352 data_time: 0.0206 memory: 13802 grad_norm: 0.1968 recall@thr=0.5: 0.4233 prec@thr=0.5: 0.6000 recall@top3: 0.7300 prec@top3: 0.6400 recall@top5: 0.8533 prec@top5: 0.4560 loss_action_cls: 0.1104 loss: 0.1104 2022/08/08 19:56:01 - mmengine - INFO - Epoch(train) [1][720/2881] lr: 1.0000e-02 eta: 13:13:30 time: 0.6075 data_time: 0.0235 memory: 13802 grad_norm: 0.1891 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.4222 recall@top3: 0.5333 prec@top3: 0.3778 recall@top5: 0.7667 prec@top5: 0.3467 loss_action_cls: 0.0993 loss: 0.0993 2022/08/08 19:56:14 - mmengine - INFO - Epoch(train) [1][740/2881] lr: 1.0000e-02 eta: 13:08:25 time: 0.6494 data_time: 0.0208 memory: 13802 grad_norm: 0.1810 recall@thr=0.5: 0.6029 prec@thr=0.5: 0.6275 recall@top3: 0.7255 prec@top3: 0.5882 recall@top5: 0.8235 prec@top5: 0.4118 loss_action_cls: 0.0912 loss: 0.0912 2022/08/08 19:56:26 - mmengine - INFO - Epoch(train) [1][760/2881] lr: 1.0000e-02 eta: 13:03:11 time: 0.6329 data_time: 0.0218 memory: 13802 grad_norm: 0.1924 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5185 recall@top3: 0.8056 prec@top3: 0.4815 recall@top5: 0.9815 prec@top5: 0.3667 loss_action_cls: 0.0875 loss: 0.0875 2022/08/08 19:56:39 - mmengine - INFO - Epoch(train) [1][780/2881] lr: 1.0000e-02 eta: 12:58:18 time: 0.6366 data_time: 0.0193 memory: 13802 grad_norm: 0.1786 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4643 recall@top3: 0.7738 prec@top3: 0.5476 recall@top5: 0.9524 prec@top5: 0.4214 loss_action_cls: 0.0751 loss: 0.0751 2022/08/08 19:56:51 - mmengine - INFO - Epoch(train) [1][800/2881] lr: 1.0000e-02 eta: 12:52:50 time: 0.6025 data_time: 0.0218 memory: 13802 grad_norm: 0.1768 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.6167 recall@top3: 0.6700 prec@top3: 0.6400 recall@top5: 0.8667 prec@top5: 0.5120 loss_action_cls: 0.0896 loss: 0.0896 2022/08/08 19:57:04 - mmengine - INFO - Epoch(train) [1][820/2881] lr: 1.0000e-02 eta: 12:48:56 time: 0.6586 data_time: 0.0199 memory: 13802 grad_norm: 0.1955 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6208 recall@top3: 0.6958 prec@top3: 0.6167 recall@top5: 0.8917 prec@top5: 0.4900 loss_action_cls: 0.1021 loss: 0.1021 2022/08/08 19:57:17 - mmengine - INFO - Epoch(train) [1][840/2881] lr: 1.0000e-02 eta: 12:44:30 time: 0.6276 data_time: 0.0243 memory: 13802 grad_norm: 0.1842 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.6667 recall@top3: 0.8913 prec@top3: 0.4638 recall@top5: 0.9783 prec@top5: 0.3217 loss_action_cls: 0.0902 loss: 0.0902 2022/08/08 19:57:29 - mmengine - INFO - Epoch(train) [1][860/2881] lr: 1.0000e-02 eta: 12:39:52 time: 0.6098 data_time: 0.0199 memory: 13802 grad_norm: 0.1805 recall@thr=0.5: 0.4712 prec@thr=0.5: 0.5769 recall@top3: 0.6442 prec@top3: 0.5128 recall@top5: 0.8590 prec@top5: 0.4077 loss_action_cls: 0.0881 loss: 0.0881 2022/08/08 19:57:41 - mmengine - INFO - Epoch(train) [1][880/2881] lr: 1.0000e-02 eta: 12:35:51 time: 0.6286 data_time: 0.0198 memory: 13802 grad_norm: 0.1956 recall@thr=0.5: 0.4931 prec@thr=0.5: 0.5625 recall@top3: 0.5431 prec@top3: 0.4722 recall@top5: 0.8861 prec@top5: 0.4583 loss_action_cls: 0.0863 loss: 0.0863 2022/08/08 19:57:54 - mmengine - INFO - Epoch(train) [1][900/2881] lr: 1.0000e-02 eta: 12:31:59 time: 0.6279 data_time: 0.0212 memory: 13802 grad_norm: 0.2037 recall@thr=0.5: 0.4008 prec@thr=0.5: 0.4960 recall@top3: 0.5952 prec@top3: 0.4921 recall@top5: 0.7302 prec@top5: 0.3714 loss_action_cls: 0.0986 loss: 0.0986 2022/08/08 19:58:07 - mmengine - INFO - Epoch(train) [1][920/2881] lr: 1.0000e-02 eta: 12:28:23 time: 0.6327 data_time: 0.0203 memory: 13802 grad_norm: 0.1984 recall@thr=0.5: 0.3772 prec@thr=0.5: 0.4649 recall@top3: 0.8246 prec@top3: 0.5789 recall@top5: 0.9211 prec@top5: 0.3895 loss_action_cls: 0.0867 loss: 0.0867 2022/08/08 19:58:19 - mmengine - INFO - Epoch(train) [1][940/2881] lr: 1.0000e-02 eta: 12:24:28 time: 0.6101 data_time: 0.0195 memory: 13802 grad_norm: 0.2233 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.8578 recall@top3: 0.7279 prec@top3: 0.6373 recall@top5: 0.9485 prec@top5: 0.5118 loss_action_cls: 0.0908 loss: 0.0908 2022/08/08 19:58:35 - mmengine - INFO - Epoch(train) [1][960/2881] lr: 1.0000e-02 eta: 12:24:20 time: 0.7953 data_time: 0.0201 memory: 13802 grad_norm: 0.2003 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.7333 recall@top3: 0.8006 prec@top3: 0.7222 recall@top5: 0.9283 prec@top5: 0.5200 loss_action_cls: 0.1008 loss: 0.1008 2022/08/08 19:58:47 - mmengine - INFO - Epoch(train) [1][980/2881] lr: 1.0000e-02 eta: 12:21:08 time: 0.6354 data_time: 0.0246 memory: 13802 grad_norm: 0.1761 recall@thr=0.5: 0.6543 prec@thr=0.5: 0.7549 recall@top3: 0.6914 prec@top3: 0.6420 recall@top5: 0.8364 prec@top5: 0.4815 loss_action_cls: 0.0840 loss: 0.0840 2022/08/08 19:59:00 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 19:59:00 - mmengine - INFO - Epoch(train) [1][1000/2881] lr: 1.0000e-02 eta: 12:17:51 time: 0.6249 data_time: 0.0193 memory: 13802 grad_norm: 0.1975 recall@thr=0.5: 0.4130 prec@thr=0.5: 0.4964 recall@top3: 0.6884 prec@top3: 0.4493 recall@top5: 0.8913 prec@top5: 0.3739 loss_action_cls: 0.0946 loss: 0.0946 2022/08/08 19:59:13 - mmengine - INFO - Epoch(train) [1][1020/2881] lr: 1.0000e-02 eta: 12:15:04 time: 0.6462 data_time: 0.0217 memory: 13802 grad_norm: 0.1920 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5802 recall@top3: 0.6142 prec@top3: 0.5926 recall@top5: 0.8056 prec@top5: 0.4519 loss_action_cls: 0.0776 loss: 0.0776 2022/08/08 19:59:26 - mmengine - INFO - Epoch(train) [1][1040/2881] lr: 1.0000e-02 eta: 12:12:09 time: 0.6323 data_time: 0.0258 memory: 13802 grad_norm: 0.1880 recall@thr=0.5: 0.5354 prec@thr=0.5: 0.6793 recall@top3: 0.7424 prec@top3: 0.5556 recall@top5: 0.9899 prec@top5: 0.4485 loss_action_cls: 0.0938 loss: 0.0938 2022/08/08 19:59:38 - mmengine - INFO - Epoch(train) [1][1060/2881] lr: 1.0000e-02 eta: 12:09:12 time: 0.6255 data_time: 0.0196 memory: 13802 grad_norm: 0.1865 recall@thr=0.5: 0.3301 prec@thr=0.5: 0.4808 recall@top3: 0.5513 prec@top3: 0.4103 recall@top5: 0.7436 prec@top5: 0.2923 loss_action_cls: 0.1109 loss: 0.1109 2022/08/08 19:59:51 - mmengine - INFO - Epoch(train) [1][1080/2881] lr: 1.0000e-02 eta: 12:06:22 time: 0.6258 data_time: 0.0211 memory: 13802 grad_norm: 0.1771 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.4781 recall@top3: 0.5789 prec@top3: 0.3509 recall@top5: 0.8158 prec@top5: 0.2842 loss_action_cls: 0.0885 loss: 0.0885 2022/08/08 20:00:03 - mmengine - INFO - Epoch(train) [1][1100/2881] lr: 1.0000e-02 eta: 12:03:19 time: 0.6073 data_time: 0.0222 memory: 13802 grad_norm: 0.1877 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7302 recall@top3: 0.8254 prec@top3: 0.6190 recall@top5: 0.9365 prec@top5: 0.4286 loss_action_cls: 0.0885 loss: 0.0885 2022/08/08 20:00:15 - mmengine - INFO - Epoch(train) [1][1120/2881] lr: 1.0000e-02 eta: 12:00:40 time: 0.6261 data_time: 0.0205 memory: 13802 grad_norm: 0.1777 recall@thr=0.5: 0.4633 prec@thr=0.5: 0.4600 recall@top3: 0.6133 prec@top3: 0.4667 recall@top5: 0.8667 prec@top5: 0.3840 loss_action_cls: 0.0781 loss: 0.0781 2022/08/08 20:00:27 - mmengine - INFO - Epoch(train) [1][1140/2881] lr: 1.0000e-02 eta: 11:57:48 time: 0.6069 data_time: 0.0204 memory: 13802 grad_norm: 0.1819 recall@thr=0.5: 0.3810 prec@thr=0.5: 0.6190 recall@top3: 0.7540 prec@top3: 0.6667 recall@top5: 0.8849 prec@top5: 0.4952 loss_action_cls: 0.0888 loss: 0.0888 2022/08/08 20:00:40 - mmengine - INFO - Epoch(train) [1][1160/2881] lr: 1.0000e-02 eta: 11:55:17 time: 0.6227 data_time: 0.0211 memory: 13802 grad_norm: 0.1984 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.7803 recall@top3: 0.8826 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0804 loss: 0.0804 2022/08/08 20:00:52 - mmengine - INFO - Epoch(train) [1][1180/2881] lr: 1.0000e-02 eta: 11:52:57 time: 0.6303 data_time: 0.0223 memory: 13802 grad_norm: 0.1934 recall@thr=0.5: 0.4900 prec@thr=0.5: 0.7067 recall@top3: 0.7833 prec@top3: 0.7467 recall@top5: 0.9233 prec@top5: 0.5280 loss_action_cls: 0.0916 loss: 0.0916 2022/08/08 20:01:05 - mmengine - INFO - Epoch(train) [1][1200/2881] lr: 1.0000e-02 eta: 11:50:21 time: 0.6074 data_time: 0.0215 memory: 13802 grad_norm: 0.1700 recall@thr=0.5: 0.4968 prec@thr=0.5: 0.7564 recall@top3: 0.6154 prec@top3: 0.5641 recall@top5: 0.8782 prec@top5: 0.4692 loss_action_cls: 0.0848 loss: 0.0848 2022/08/08 20:01:17 - mmengine - INFO - Epoch(train) [1][1220/2881] lr: 1.0000e-02 eta: 11:48:08 time: 0.6286 data_time: 0.0204 memory: 13802 grad_norm: 0.1765 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.8596 recall@top3: 0.7632 prec@top3: 0.6140 recall@top5: 0.9386 prec@top5: 0.4632 loss_action_cls: 0.0862 loss: 0.0862 2022/08/08 20:01:30 - mmengine - INFO - Epoch(train) [1][1240/2881] lr: 1.0000e-02 eta: 11:45:55 time: 0.6231 data_time: 0.0197 memory: 13802 grad_norm: 0.1887 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.6591 recall@top3: 0.7174 prec@top3: 0.7121 recall@top5: 0.9364 prec@top5: 0.5636 loss_action_cls: 0.0762 loss: 0.0762 2022/08/08 20:01:42 - mmengine - INFO - Epoch(train) [1][1260/2881] lr: 1.0000e-02 eta: 11:43:36 time: 0.6127 data_time: 0.0214 memory: 13802 grad_norm: 0.1870 recall@thr=0.5: 0.5618 prec@thr=0.5: 0.6344 recall@top3: 0.7500 prec@top3: 0.6559 recall@top5: 0.9597 prec@top5: 0.5097 loss_action_cls: 0.0871 loss: 0.0871 2022/08/08 20:01:55 - mmengine - INFO - Epoch(train) [1][1280/2881] lr: 1.0000e-02 eta: 11:41:42 time: 0.6373 data_time: 0.0255 memory: 13802 grad_norm: 0.1910 recall@thr=0.5: 0.5339 prec@thr=0.5: 0.7656 recall@top3: 0.7943 prec@top3: 0.7083 recall@top5: 0.9427 prec@top5: 0.5187 loss_action_cls: 0.0883 loss: 0.0883 2022/08/08 20:02:07 - mmengine - INFO - Epoch(train) [1][1300/2881] lr: 1.0000e-02 eta: 11:39:47 time: 0.6320 data_time: 0.0197 memory: 13802 grad_norm: 0.1941 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7432 recall@top3: 0.8333 prec@top3: 0.6970 recall@top5: 0.9318 prec@top5: 0.4909 loss_action_cls: 0.0940 loss: 0.0940 2022/08/08 20:02:20 - mmengine - INFO - Epoch(train) [1][1320/2881] lr: 1.0000e-02 eta: 11:37:51 time: 0.6270 data_time: 0.0226 memory: 13802 grad_norm: 0.1812 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.6771 recall@top3: 0.6806 prec@top3: 0.5556 recall@top5: 0.8264 prec@top5: 0.4250 loss_action_cls: 0.0931 loss: 0.0931 2022/08/08 20:02:32 - mmengine - INFO - Epoch(train) [1][1340/2881] lr: 1.0000e-02 eta: 11:36:01 time: 0.6295 data_time: 0.0209 memory: 13802 grad_norm: 0.1878 recall@thr=0.5: 0.3556 prec@thr=0.5: 0.5635 recall@top3: 0.5421 prec@top3: 0.5873 recall@top5: 0.8024 prec@top5: 0.5333 loss_action_cls: 0.0724 loss: 0.0724 2022/08/08 20:02:45 - mmengine - INFO - Epoch(train) [1][1360/2881] lr: 1.0000e-02 eta: 11:34:08 time: 0.6240 data_time: 0.0208 memory: 13802 grad_norm: 0.1909 recall@thr=0.5: 0.5132 prec@thr=0.5: 0.6491 recall@top3: 0.7325 prec@top3: 0.6316 recall@top5: 0.7982 prec@top5: 0.4105 loss_action_cls: 0.0883 loss: 0.0883 2022/08/08 20:02:57 - mmengine - INFO - Epoch(train) [1][1380/2881] lr: 1.0000e-02 eta: 11:32:19 time: 0.6243 data_time: 0.0195 memory: 13802 grad_norm: 0.1813 recall@thr=0.5: 0.5327 prec@thr=0.5: 0.8274 recall@top3: 0.7827 prec@top3: 0.6429 recall@top5: 0.8988 prec@top5: 0.4714 loss_action_cls: 0.0927 loss: 0.0927 2022/08/08 20:03:10 - mmengine - INFO - Epoch(train) [1][1400/2881] lr: 1.0000e-02 eta: 11:30:28 time: 0.6185 data_time: 0.0215 memory: 13802 grad_norm: 0.1877 recall@thr=0.5: 0.5507 prec@thr=0.5: 0.5797 recall@top3: 0.8551 prec@top3: 0.5507 recall@top5: 0.9565 prec@top5: 0.3739 loss_action_cls: 0.0910 loss: 0.0910 2022/08/08 20:03:22 - mmengine - INFO - Epoch(train) [1][1420/2881] lr: 1.0000e-02 eta: 11:28:48 time: 0.6299 data_time: 0.0212 memory: 13802 grad_norm: 0.1803 recall@thr=0.5: 0.4962 prec@thr=0.5: 0.6439 recall@top3: 0.6250 prec@top3: 0.4848 recall@top5: 0.7652 prec@top5: 0.3545 loss_action_cls: 0.0904 loss: 0.0904 2022/08/08 20:03:35 - mmengine - INFO - Epoch(train) [1][1440/2881] lr: 1.0000e-02 eta: 11:27:10 time: 0.6281 data_time: 0.0242 memory: 13802 grad_norm: 0.1830 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.7167 recall@top3: 0.6833 prec@top3: 0.6444 recall@top5: 0.9222 prec@top5: 0.5200 loss_action_cls: 0.0937 loss: 0.0937 2022/08/08 20:03:47 - mmengine - INFO - Epoch(train) [1][1460/2881] lr: 1.0000e-02 eta: 11:25:15 time: 0.6032 data_time: 0.0206 memory: 13802 grad_norm: 0.1821 recall@thr=0.5: 0.3269 prec@thr=0.5: 0.4038 recall@top3: 0.5897 prec@top3: 0.4744 recall@top5: 0.7340 prec@top5: 0.3615 loss_action_cls: 0.1016 loss: 0.1016 2022/08/08 20:03:59 - mmengine - INFO - Epoch(train) [1][1480/2881] lr: 1.0000e-02 eta: 11:23:39 time: 0.6257 data_time: 0.0202 memory: 13802 grad_norm: 0.1754 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5417 recall@top3: 0.6181 prec@top3: 0.4861 recall@top5: 0.8125 prec@top5: 0.4000 loss_action_cls: 0.0882 loss: 0.0882 2022/08/08 20:04:12 - mmengine - INFO - Epoch(train) [1][1500/2881] lr: 1.0000e-02 eta: 11:22:04 time: 0.6235 data_time: 0.0251 memory: 13802 grad_norm: 0.1973 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.6987 recall@top3: 0.7083 prec@top3: 0.6667 recall@top5: 0.8301 prec@top5: 0.4692 loss_action_cls: 0.1044 loss: 0.1044 2022/08/08 20:04:25 - mmengine - INFO - Epoch(train) [1][1520/2881] lr: 1.0000e-02 eta: 11:20:37 time: 0.6306 data_time: 0.0237 memory: 13802 grad_norm: 0.1859 recall@thr=0.5: 0.5479 prec@thr=0.5: 0.7847 recall@top3: 0.7299 prec@top3: 0.6389 recall@top5: 0.9000 prec@top5: 0.5000 loss_action_cls: 0.0749 loss: 0.0749 2022/08/08 20:04:37 - mmengine - INFO - Epoch(train) [1][1540/2881] lr: 1.0000e-02 eta: 11:19:10 time: 0.6289 data_time: 0.0196 memory: 13802 grad_norm: 0.1839 recall@thr=0.5: 0.3600 prec@thr=0.5: 0.4467 recall@top3: 0.4780 prec@top3: 0.4667 recall@top5: 0.6873 prec@top5: 0.4240 loss_action_cls: 0.0940 loss: 0.0940 2022/08/08 20:04:50 - mmengine - INFO - Epoch(train) [1][1560/2881] lr: 1.0000e-02 eta: 11:17:52 time: 0.6378 data_time: 0.0213 memory: 13802 grad_norm: 0.1825 recall@thr=0.5: 0.3792 prec@thr=0.5: 0.4000 recall@top3: 0.6208 prec@top3: 0.4500 recall@top5: 0.7500 prec@top5: 0.3400 loss_action_cls: 0.0821 loss: 0.0821 2022/08/08 20:05:03 - mmengine - INFO - Epoch(train) [1][1580/2881] lr: 1.0000e-02 eta: 11:16:33 time: 0.6343 data_time: 0.0197 memory: 13802 grad_norm: 0.1722 recall@thr=0.5: 0.5820 prec@thr=0.5: 0.7400 recall@top3: 0.8080 prec@top3: 0.6800 recall@top5: 0.9507 prec@top5: 0.5120 loss_action_cls: 0.0844 loss: 0.0844 2022/08/08 20:05:15 - mmengine - INFO - Epoch(train) [1][1600/2881] lr: 1.0000e-02 eta: 11:15:12 time: 0.6301 data_time: 0.0232 memory: 13802 grad_norm: 0.1845 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.8056 recall@top3: 0.7824 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.5000 loss_action_cls: 0.0950 loss: 0.0950 2022/08/08 20:05:28 - mmengine - INFO - Epoch(train) [1][1620/2881] lr: 1.0000e-02 eta: 11:13:56 time: 0.6343 data_time: 0.0232 memory: 13802 grad_norm: 0.1854 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.4259 recall@top3: 0.6204 prec@top3: 0.4630 recall@top5: 0.8426 prec@top5: 0.3778 loss_action_cls: 0.0912 loss: 0.0912 2022/08/08 20:05:40 - mmengine - INFO - Epoch(train) [1][1640/2881] lr: 1.0000e-02 eta: 11:12:24 time: 0.6084 data_time: 0.0252 memory: 13802 grad_norm: 0.1779 recall@thr=0.5: 0.5387 prec@thr=0.5: 0.6369 recall@top3: 0.6696 prec@top3: 0.6310 recall@top5: 0.8393 prec@top5: 0.4714 loss_action_cls: 0.0970 loss: 0.0970 2022/08/08 20:05:53 - mmengine - INFO - Epoch(train) [1][1660/2881] lr: 1.0000e-02 eta: 11:11:19 time: 0.6454 data_time: 0.0185 memory: 13802 grad_norm: 0.1919 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5972 recall@top3: 0.7431 prec@top3: 0.4722 recall@top5: 0.8611 prec@top5: 0.3250 loss_action_cls: 0.0919 loss: 0.0919 2022/08/08 20:06:06 - mmengine - INFO - Epoch(train) [1][1680/2881] lr: 1.0000e-02 eta: 11:10:06 time: 0.6317 data_time: 0.0219 memory: 13802 grad_norm: 0.1976 recall@thr=0.5: 0.4014 prec@thr=0.5: 0.7000 recall@top3: 0.6805 prec@top3: 0.6571 recall@top5: 0.8867 prec@top5: 0.5257 loss_action_cls: 0.0908 loss: 0.0908 2022/08/08 20:06:18 - mmengine - INFO - Epoch(train) [1][1700/2881] lr: 1.0000e-02 eta: 11:08:54 time: 0.6309 data_time: 0.0220 memory: 13802 grad_norm: 0.2009 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.8000 recall@top3: 0.8333 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0852 loss: 0.0852 2022/08/08 20:06:30 - mmengine - INFO - Epoch(train) [1][1720/2881] lr: 1.0000e-02 eta: 11:07:26 time: 0.6053 data_time: 0.0224 memory: 13802 grad_norm: 0.1834 recall@thr=0.5: 0.5942 prec@thr=0.5: 0.7464 recall@top3: 0.8188 prec@top3: 0.5942 recall@top5: 0.9783 prec@top5: 0.4435 loss_action_cls: 0.0848 loss: 0.0848 2022/08/08 20:06:43 - mmengine - INFO - Epoch(train) [1][1740/2881] lr: 1.0000e-02 eta: 11:06:23 time: 0.6402 data_time: 0.0215 memory: 13802 grad_norm: 0.1823 recall@thr=0.5: 0.5577 prec@thr=0.5: 0.7115 recall@top3: 0.7596 prec@top3: 0.6410 recall@top5: 0.9071 prec@top5: 0.4846 loss_action_cls: 0.0884 loss: 0.0884 2022/08/08 20:06:56 - mmengine - INFO - Epoch(train) [1][1760/2881] lr: 1.0000e-02 eta: 11:05:14 time: 0.6286 data_time: 0.0219 memory: 13802 grad_norm: 0.1832 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.9083 recall@top3: 0.8583 prec@top3: 0.7167 recall@top5: 0.9750 prec@top5: 0.5000 loss_action_cls: 0.0974 loss: 0.0974 2022/08/08 20:07:09 - mmengine - INFO - Epoch(train) [1][1780/2881] lr: 1.0000e-02 eta: 11:04:16 time: 0.6449 data_time: 0.0213 memory: 13802 grad_norm: 0.1844 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.7562 recall@top3: 0.6875 prec@top3: 0.6833 recall@top5: 0.9187 prec@top5: 0.5650 loss_action_cls: 0.0901 loss: 0.0901 2022/08/08 20:07:21 - mmengine - INFO - Epoch(train) [1][1800/2881] lr: 1.0000e-02 eta: 11:02:54 time: 0.6047 data_time: 0.0203 memory: 13802 grad_norm: 0.1902 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6754 recall@top3: 0.6842 prec@top3: 0.7368 recall@top5: 0.9825 prec@top5: 0.6316 loss_action_cls: 0.0955 loss: 0.0955 2022/08/08 20:07:34 - mmengine - INFO - Epoch(train) [1][1820/2881] lr: 1.0000e-02 eta: 11:01:57 time: 0.6428 data_time: 0.0224 memory: 13802 grad_norm: 0.1871 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.8072 recall@top3: 0.6920 prec@top3: 0.6667 recall@top5: 0.7645 prec@top5: 0.4435 loss_action_cls: 0.0717 loss: 0.0717 2022/08/08 20:07:46 - mmengine - INFO - Epoch(train) [1][1840/2881] lr: 1.0000e-02 eta: 11:00:53 time: 0.6298 data_time: 0.0238 memory: 13802 grad_norm: 0.1840 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7063 recall@top3: 0.6825 prec@top3: 0.5873 recall@top5: 0.8095 prec@top5: 0.4190 loss_action_cls: 0.0804 loss: 0.0804 2022/08/08 20:07:59 - mmengine - INFO - Epoch(train) [1][1860/2881] lr: 1.0000e-02 eta: 10:59:46 time: 0.6233 data_time: 0.0241 memory: 13802 grad_norm: 0.1975 recall@thr=0.5: 0.4256 prec@thr=0.5: 0.5833 recall@top3: 0.4949 prec@top3: 0.4615 recall@top5: 0.6301 prec@top5: 0.3538 loss_action_cls: 0.0852 loss: 0.0852 2022/08/08 20:08:11 - mmengine - INFO - Epoch(train) [1][1880/2881] lr: 1.0000e-02 eta: 10:58:28 time: 0.6028 data_time: 0.0214 memory: 13802 grad_norm: 0.1701 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.8144 recall@top3: 0.8182 prec@top3: 0.6061 recall@top5: 0.8788 prec@top5: 0.4000 loss_action_cls: 0.0960 loss: 0.0960 2022/08/08 20:08:23 - mmengine - INFO - Epoch(train) [1][1900/2881] lr: 1.0000e-02 eta: 10:57:36 time: 0.6432 data_time: 0.0228 memory: 13802 grad_norm: 0.1839 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.7862 recall@top3: 0.8116 prec@top3: 0.7246 recall@top5: 0.9058 prec@top5: 0.5043 loss_action_cls: 0.0847 loss: 0.0847 2022/08/08 20:08:36 - mmengine - INFO - Epoch(train) [1][1920/2881] lr: 1.0000e-02 eta: 10:56:20 time: 0.6030 data_time: 0.0214 memory: 13802 grad_norm: 0.1882 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.6587 recall@top3: 0.7540 prec@top3: 0.5079 recall@top5: 0.8810 prec@top5: 0.3619 loss_action_cls: 0.0778 loss: 0.0778 2022/08/08 20:08:48 - mmengine - INFO - Epoch(train) [1][1940/2881] lr: 1.0000e-02 eta: 10:55:27 time: 0.6392 data_time: 0.0194 memory: 13802 grad_norm: 0.1938 recall@thr=0.5: 0.5026 prec@thr=0.5: 0.7031 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.8438 prec@top5: 0.4562 loss_action_cls: 0.0887 loss: 0.0887 2022/08/08 20:09:35 - mmengine - INFO - Epoch(train) [1][1960/2881] lr: 1.0000e-02 eta: 11:10:51 time: 2.3581 data_time: 0.1435 memory: 13802 grad_norm: 0.1991 recall@thr=0.5: 0.6090 prec@thr=0.5: 0.8013 recall@top3: 0.7821 prec@top3: 0.6667 recall@top5: 0.9006 prec@top5: 0.4769 loss_action_cls: 0.0761 loss: 0.0761 2022/08/08 20:10:06 - mmengine - INFO - Epoch(train) [1][1980/2881] lr: 1.0000e-02 eta: 11:18:06 time: 1.5215 data_time: 0.0443 memory: 13802 grad_norm: 0.1848 recall@thr=0.5: 0.5543 prec@thr=0.5: 0.6232 recall@top3: 0.7681 prec@top3: 0.6377 recall@top5: 0.8986 prec@top5: 0.4609 loss_action_cls: 0.0788 loss: 0.0788 2022/08/08 20:10:20 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 20:10:20 - mmengine - INFO - Epoch(train) [1][2000/2881] lr: 1.0000e-02 eta: 11:17:31 time: 0.6947 data_time: 0.0867 memory: 13802 grad_norm: 0.2027 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.6439 recall@top3: 0.6742 prec@top3: 0.6212 recall@top5: 0.8902 prec@top5: 0.5091 loss_action_cls: 0.0794 loss: 0.0794 2022/08/08 20:10:33 - mmengine - INFO - Epoch(train) [1][2020/2881] lr: 1.0000e-02 eta: 11:16:26 time: 0.6404 data_time: 0.0190 memory: 13802 grad_norm: 0.1938 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.5917 recall@top3: 0.7042 prec@top3: 0.5833 recall@top5: 0.9500 prec@top5: 0.4900 loss_action_cls: 0.0853 loss: 0.0853 2022/08/08 20:10:45 - mmengine - INFO - Epoch(train) [1][2040/2881] lr: 1.0000e-02 eta: 11:15:15 time: 0.6269 data_time: 0.0223 memory: 13802 grad_norm: 0.1795 recall@thr=0.5: 0.4638 prec@thr=0.5: 0.4783 recall@top3: 0.7101 prec@top3: 0.5507 recall@top5: 0.8551 prec@top5: 0.4000 loss_action_cls: 0.0883 loss: 0.0883 2022/08/08 20:10:58 - mmengine - INFO - Epoch(train) [1][2060/2881] lr: 1.0000e-02 eta: 11:14:06 time: 0.6272 data_time: 0.0206 memory: 13802 grad_norm: 0.1830 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6833 recall@top3: 0.7583 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4600 loss_action_cls: 0.0732 loss: 0.0732 2022/08/08 20:11:11 - mmengine - INFO - Epoch(train) [1][2080/2881] lr: 1.0000e-02 eta: 11:13:08 time: 0.6469 data_time: 0.0217 memory: 13802 grad_norm: 0.1884 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6123 recall@top3: 0.7284 prec@top3: 0.6420 recall@top5: 0.9043 prec@top5: 0.4741 loss_action_cls: 0.1002 loss: 0.1002 2022/08/08 20:11:24 - mmengine - INFO - Epoch(train) [1][2100/2881] lr: 1.0000e-02 eta: 11:12:14 time: 0.6515 data_time: 0.0211 memory: 13802 grad_norm: 0.1887 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5093 recall@top3: 0.6574 prec@top3: 0.5185 recall@top5: 0.9074 prec@top5: 0.4111 loss_action_cls: 0.0888 loss: 0.0888 2022/08/08 20:11:36 - mmengine - INFO - Epoch(train) [1][2120/2881] lr: 1.0000e-02 eta: 11:11:06 time: 0.6257 data_time: 0.0210 memory: 13802 grad_norm: 0.1936 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.4649 recall@top3: 0.8596 prec@top3: 0.5789 recall@top5: 0.9123 prec@top5: 0.3579 loss_action_cls: 0.0840 loss: 0.0840 2022/08/08 20:11:49 - mmengine - INFO - Epoch(train) [1][2140/2881] lr: 1.0000e-02 eta: 11:10:03 time: 0.6323 data_time: 0.0212 memory: 13802 grad_norm: 0.1869 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7153 recall@top3: 0.7222 prec@top3: 0.6250 recall@top5: 0.8993 prec@top5: 0.5000 loss_action_cls: 0.0747 loss: 0.0747 2022/08/08 20:12:01 - mmengine - INFO - Epoch(train) [1][2160/2881] lr: 1.0000e-02 eta: 11:08:56 time: 0.6208 data_time: 0.0217 memory: 13802 grad_norm: 0.1991 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6111 recall@top3: 0.6111 prec@top3: 0.5238 recall@top5: 0.8651 prec@top5: 0.4762 loss_action_cls: 0.0938 loss: 0.0938 2022/08/08 20:12:14 - mmengine - INFO - Epoch(train) [1][2180/2881] lr: 1.0000e-02 eta: 11:08:03 time: 0.6492 data_time: 0.0222 memory: 13802 grad_norm: 0.1684 recall@thr=0.5: 0.4931 prec@thr=0.5: 0.6111 recall@top3: 0.6667 prec@top3: 0.5139 recall@top5: 0.7917 prec@top5: 0.3667 loss_action_cls: 0.0676 loss: 0.0676 2022/08/08 20:12:27 - mmengine - INFO - Epoch(train) [1][2200/2881] lr: 1.0000e-02 eta: 11:06:57 time: 0.6205 data_time: 0.0243 memory: 13802 grad_norm: 0.1856 recall@thr=0.5: 0.4487 prec@thr=0.5: 0.4530 recall@top3: 0.6816 prec@top3: 0.5299 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0899 loss: 0.0899 2022/08/08 20:12:39 - mmengine - INFO - Epoch(train) [1][2220/2881] lr: 1.0000e-02 eta: 11:05:45 time: 0.6057 data_time: 0.0197 memory: 13802 grad_norm: 0.1798 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6322 recall@top3: 0.7529 prec@top3: 0.5172 recall@top5: 0.9224 prec@top5: 0.4000 loss_action_cls: 0.0964 loss: 0.0964 2022/08/08 20:12:52 - mmengine - INFO - Epoch(train) [1][2240/2881] lr: 1.0000e-02 eta: 11:04:49 time: 0.6379 data_time: 0.0216 memory: 13802 grad_norm: 0.1789 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6754 recall@top3: 0.8158 prec@top3: 0.6316 recall@top5: 0.8596 prec@top5: 0.4000 loss_action_cls: 0.0878 loss: 0.0878 2022/08/08 20:13:04 - mmengine - INFO - Epoch(train) [1][2260/2881] lr: 1.0000e-02 eta: 11:03:59 time: 0.6467 data_time: 0.0246 memory: 13802 grad_norm: 0.1998 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.7889 recall@top3: 0.9000 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0840 loss: 0.0840 2022/08/08 20:13:17 - mmengine - INFO - Epoch(train) [1][2280/2881] lr: 1.0000e-02 eta: 11:03:03 time: 0.6345 data_time: 0.0252 memory: 13802 grad_norm: 0.1806 recall@thr=0.5: 0.4965 prec@thr=0.5: 0.6491 recall@top3: 0.5596 prec@top3: 0.5263 recall@top5: 0.8307 prec@top5: 0.4421 loss_action_cls: 0.0903 loss: 0.0903 2022/08/08 20:13:29 - mmengine - INFO - Epoch(train) [1][2300/2881] lr: 1.0000e-02 eta: 11:01:53 time: 0.6031 data_time: 0.0205 memory: 13802 grad_norm: 0.1808 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8889 recall@top3: 0.9048 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0839 loss: 0.0839 2022/08/08 20:13:42 - mmengine - INFO - Epoch(train) [1][2320/2881] lr: 1.0000e-02 eta: 11:01:01 time: 0.6391 data_time: 0.0225 memory: 13802 grad_norm: 0.1775 recall@thr=0.5: 0.4855 prec@thr=0.5: 0.5217 recall@top3: 0.6630 prec@top3: 0.5652 recall@top5: 0.8913 prec@top5: 0.4522 loss_action_cls: 0.0992 loss: 0.0992 2022/08/08 20:13:55 - mmengine - INFO - Epoch(train) [1][2340/2881] lr: 1.0000e-02 eta: 11:00:13 time: 0.6467 data_time: 0.0215 memory: 13802 grad_norm: 0.1837 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5556 recall@top3: 0.5913 prec@top3: 0.5397 recall@top5: 0.7817 prec@top5: 0.4286 loss_action_cls: 0.0827 loss: 0.0827 2022/08/08 20:14:07 - mmengine - INFO - Epoch(train) [1][2360/2881] lr: 1.0000e-02 eta: 10:59:05 time: 0.6010 data_time: 0.0206 memory: 13802 grad_norm: 0.1828 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.6708 recall@top3: 0.6354 prec@top3: 0.6167 recall@top5: 0.8875 prec@top5: 0.5300 loss_action_cls: 0.0774 loss: 0.0774 2022/08/08 20:14:19 - mmengine - INFO - Epoch(train) [1][2380/2881] lr: 1.0000e-02 eta: 10:57:59 time: 0.6046 data_time: 0.0211 memory: 13802 grad_norm: 0.1862 recall@thr=0.5: 0.4439 prec@thr=0.5: 0.5789 recall@top3: 0.5469 prec@top3: 0.5702 recall@top5: 0.7636 prec@top5: 0.4947 loss_action_cls: 0.0827 loss: 0.0827 2022/08/08 20:14:32 - mmengine - INFO - Epoch(train) [1][2400/2881] lr: 1.0000e-02 eta: 10:57:08 time: 0.6358 data_time: 0.0211 memory: 13802 grad_norm: 0.1717 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6875 recall@top3: 0.7361 prec@top3: 0.6250 recall@top5: 0.8854 prec@top5: 0.4667 loss_action_cls: 0.0978 loss: 0.0978 2022/08/08 20:14:45 - mmengine - INFO - Epoch(train) [1][2420/2881] lr: 1.0000e-02 eta: 10:56:21 time: 0.6419 data_time: 0.0218 memory: 13802 grad_norm: 0.1809 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7167 recall@top3: 0.9083 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3900 loss_action_cls: 0.0718 loss: 0.0718 2022/08/08 20:14:57 - mmengine - INFO - Epoch(train) [1][2440/2881] lr: 1.0000e-02 eta: 10:55:29 time: 0.6307 data_time: 0.0218 memory: 13802 grad_norm: 0.1849 recall@thr=0.5: 0.5875 prec@thr=0.5: 0.7942 recall@top3: 0.6625 prec@top3: 0.6333 recall@top5: 0.9250 prec@top5: 0.5300 loss_action_cls: 0.0751 loss: 0.0751 2022/08/08 20:15:10 - mmengine - INFO - Epoch(train) [1][2460/2881] lr: 1.0000e-02 eta: 10:54:35 time: 0.6223 data_time: 0.0212 memory: 13802 grad_norm: 0.1965 recall@thr=0.5: 0.4811 prec@thr=0.5: 0.5758 recall@top3: 0.7083 prec@top3: 0.4697 recall@top5: 0.8333 prec@top5: 0.3455 loss_action_cls: 0.0782 loss: 0.0782 2022/08/08 20:15:22 - mmengine - INFO - Epoch(train) [1][2480/2881] lr: 1.0000e-02 eta: 10:53:42 time: 0.6249 data_time: 0.0247 memory: 13802 grad_norm: 0.1753 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.6167 recall@top3: 0.6667 prec@top3: 0.5667 recall@top5: 0.9417 prec@top5: 0.4600 loss_action_cls: 0.0737 loss: 0.0737 2022/08/08 20:15:35 - mmengine - INFO - Epoch(train) [1][2500/2881] lr: 1.0000e-02 eta: 10:53:01 time: 0.6519 data_time: 0.0238 memory: 13802 grad_norm: 0.1765 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.7167 recall@top3: 0.6625 prec@top3: 0.6000 recall@top5: 0.8417 prec@top5: 0.4600 loss_action_cls: 0.0833 loss: 0.0833 2022/08/08 20:15:48 - mmengine - INFO - Epoch(train) [1][2520/2881] lr: 1.0000e-02 eta: 10:52:11 time: 0.6283 data_time: 0.0215 memory: 13802 grad_norm: 0.1807 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7870 recall@top3: 0.7870 prec@top3: 0.6481 recall@top5: 0.9167 prec@top5: 0.4556 loss_action_cls: 0.0843 loss: 0.0843 2022/08/08 20:16:00 - mmengine - INFO - Epoch(train) [1][2540/2881] lr: 1.0000e-02 eta: 10:51:11 time: 0.6053 data_time: 0.0227 memory: 13802 grad_norm: 0.1692 recall@thr=0.5: 0.4657 prec@thr=0.5: 0.6439 recall@top3: 0.6631 prec@top3: 0.6465 recall@top5: 0.8419 prec@top5: 0.5030 loss_action_cls: 0.0777 loss: 0.0777 2022/08/08 20:16:12 - mmengine - INFO - Epoch(train) [1][2560/2881] lr: 1.0000e-02 eta: 10:50:21 time: 0.6252 data_time: 0.0211 memory: 13802 grad_norm: 0.1777 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8556 recall@top3: 0.8556 prec@top3: 0.5333 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0851 loss: 0.0851 2022/08/08 20:16:25 - mmengine - INFO - Epoch(train) [1][2580/2881] lr: 1.0000e-02 eta: 10:49:38 time: 0.6407 data_time: 0.0217 memory: 13802 grad_norm: 0.1840 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.7778 recall@top3: 0.8514 prec@top3: 0.6528 recall@top5: 0.9153 prec@top5: 0.4250 loss_action_cls: 0.0803 loss: 0.0803 2022/08/08 20:16:37 - mmengine - INFO - Epoch(train) [1][2600/2881] lr: 1.0000e-02 eta: 10:48:41 time: 0.6080 data_time: 0.0214 memory: 13802 grad_norm: 0.1904 recall@thr=0.5: 0.3100 prec@thr=0.5: 0.4056 recall@top3: 0.4978 prec@top3: 0.3778 recall@top5: 0.6806 prec@top5: 0.3200 loss_action_cls: 0.0744 loss: 0.0744 2022/08/08 20:16:50 - mmengine - INFO - Epoch(train) [1][2620/2881] lr: 1.0000e-02 eta: 10:47:53 time: 0.6271 data_time: 0.0214 memory: 13802 grad_norm: 0.1701 recall@thr=0.5: 0.6033 prec@thr=0.5: 0.7933 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.9700 prec@top5: 0.5120 loss_action_cls: 0.0859 loss: 0.0859 2022/08/08 20:17:03 - mmengine - INFO - Epoch(train) [1][2640/2881] lr: 1.0000e-02 eta: 10:47:09 time: 0.6353 data_time: 0.0217 memory: 13802 grad_norm: 0.1743 recall@thr=0.5: 0.5570 prec@thr=0.5: 0.5482 recall@top3: 0.7719 prec@top3: 0.5965 recall@top5: 0.9737 prec@top5: 0.4632 loss_action_cls: 0.0979 loss: 0.0979 2022/08/08 20:17:16 - mmengine - INFO - Epoch(train) [1][2660/2881] lr: 1.0000e-02 eta: 10:46:31 time: 0.6489 data_time: 0.0228 memory: 13802 grad_norm: 0.1837 recall@thr=0.5: 0.6029 prec@thr=0.5: 0.6529 recall@top3: 0.5841 prec@top3: 0.5942 recall@top5: 0.8319 prec@top5: 0.5217 loss_action_cls: 0.0891 loss: 0.0891 2022/08/08 20:17:28 - mmengine - INFO - Epoch(train) [1][2680/2881] lr: 1.0000e-02 eta: 10:45:35 time: 0.6031 data_time: 0.0227 memory: 13802 grad_norm: 0.1903 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.7647 recall@top3: 0.9020 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0789 loss: 0.0789 2022/08/08 20:17:40 - mmengine - INFO - Epoch(train) [1][2700/2881] lr: 1.0000e-02 eta: 10:44:50 time: 0.6288 data_time: 0.0239 memory: 13802 grad_norm: 0.1955 recall@thr=0.5: 0.4048 prec@thr=0.5: 0.4762 recall@top3: 0.6071 prec@top3: 0.4603 recall@top5: 0.7302 prec@top5: 0.3429 loss_action_cls: 0.0734 loss: 0.0734 2022/08/08 20:17:53 - mmengine - INFO - Epoch(train) [1][2720/2881] lr: 1.0000e-02 eta: 10:44:11 time: 0.6420 data_time: 0.0212 memory: 13802 grad_norm: 0.1910 recall@thr=0.5: 0.4621 prec@thr=0.5: 0.5227 recall@top3: 0.7348 prec@top3: 0.4848 recall@top5: 0.8333 prec@top5: 0.3545 loss_action_cls: 0.0799 loss: 0.0799 2022/08/08 20:18:06 - mmengine - INFO - Epoch(train) [1][2740/2881] lr: 1.0000e-02 eta: 10:43:29 time: 0.6342 data_time: 0.0217 memory: 13802 grad_norm: 0.1772 recall@thr=0.5: 0.4250 prec@thr=0.5: 0.6538 recall@top3: 0.7609 prec@top3: 0.7051 recall@top5: 0.9333 prec@top5: 0.5154 loss_action_cls: 0.0919 loss: 0.0919 2022/08/08 20:18:18 - mmengine - INFO - Epoch(train) [1][2760/2881] lr: 1.0000e-02 eta: 10:42:36 time: 0.6059 data_time: 0.0231 memory: 13802 grad_norm: 0.1977 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.6000 recall@top3: 0.6667 prec@top3: 0.6000 recall@top5: 0.7417 prec@top5: 0.4100 loss_action_cls: 0.0779 loss: 0.0779 2022/08/08 20:18:31 - mmengine - INFO - Epoch(train) [1][2780/2881] lr: 1.0000e-02 eta: 10:41:59 time: 0.6461 data_time: 0.0203 memory: 13802 grad_norm: 0.1843 recall@thr=0.5: 0.4735 prec@thr=0.5: 0.5909 recall@top3: 0.6515 prec@top3: 0.5606 recall@top5: 0.8333 prec@top5: 0.4273 loss_action_cls: 0.0827 loss: 0.0827 2022/08/08 20:18:43 - mmengine - INFO - Epoch(train) [1][2800/2881] lr: 1.0000e-02 eta: 10:41:08 time: 0.6074 data_time: 0.0228 memory: 13802 grad_norm: 0.1747 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8426 recall@top3: 0.8565 prec@top3: 0.5370 recall@top5: 0.9537 prec@top5: 0.3778 loss_action_cls: 0.0779 loss: 0.0779 2022/08/08 20:18:55 - mmengine - INFO - Epoch(train) [1][2820/2881] lr: 1.0000e-02 eta: 10:40:24 time: 0.6251 data_time: 0.0218 memory: 13802 grad_norm: 0.1756 recall@thr=0.5: 0.4455 prec@thr=0.5: 0.6058 recall@top3: 0.5705 prec@top3: 0.5256 recall@top5: 0.9135 prec@top5: 0.4538 loss_action_cls: 0.0905 loss: 0.0905 2022/08/08 20:19:08 - mmengine - INFO - Epoch(train) [1][2840/2881] lr: 1.0000e-02 eta: 10:39:43 time: 0.6305 data_time: 0.0220 memory: 13802 grad_norm: 0.1743 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7963 recall@top3: 0.7685 prec@top3: 0.6481 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0808 loss: 0.0808 2022/08/08 20:19:20 - mmengine - INFO - Epoch(train) [1][2860/2881] lr: 1.0000e-02 eta: 10:38:52 time: 0.6039 data_time: 0.0203 memory: 13802 grad_norm: 0.1807 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6623 recall@top3: 0.7368 prec@top3: 0.5088 recall@top5: 0.8070 prec@top5: 0.3368 loss_action_cls: 0.0842 loss: 0.0842 2022/08/08 20:19:33 - mmengine - INFO - Epoch(train) [1][2880/2881] lr: 1.0000e-02 eta: 10:38:08 time: 0.6199 data_time: 0.0232 memory: 13802 grad_norm: 0.1811 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6346 recall@top3: 0.7564 prec@top3: 0.6667 recall@top5: 0.9135 prec@top5: 0.4923 loss_action_cls: 0.0767 loss: 0.0767 2022/08/08 20:19:33 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 20:19:33 - mmengine - INFO - Epoch(train) [1][2881/2881] lr: 1.0000e-02 eta: 10:38:08 time: 0.6187 data_time: 0.0222 memory: 13802 grad_norm: 0.1775 recall@thr=0.5: 0.4912 prec@thr=0.5: 0.6140 recall@top3: 0.7018 prec@top3: 0.6316 recall@top5: 0.8114 prec@top5: 0.4421 loss_action_cls: 0.0760 loss: 0.0760 2022/08/08 20:19:33 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/08 20:20:45 - mmengine - INFO - Epoch(val) [1][20/6282] eta: 5:43:03 time: 3.2870 data_time: 2.7421 memory: 37604 2022/08/08 20:20:48 - mmengine - INFO - Epoch(val) [1][40/6282] eta: 0:13:26 time: 0.1292 data_time: 0.0905 memory: 721 2022/08/08 20:20:53 - mmengine - INFO - Epoch(val) [1][60/6282] eta: 0:26:36 time: 0.2566 data_time: 0.2179 memory: 721 2022/08/08 20:20:57 - mmengine - INFO - Epoch(val) [1][80/6282] eta: 0:21:08 time: 0.2045 data_time: 0.1650 memory: 721 2022/08/08 20:21:01 - mmengine - INFO - Epoch(val) [1][100/6282] eta: 0:22:39 time: 0.2198 data_time: 0.1813 memory: 721 2022/08/08 20:21:10 - mmengine - INFO - Epoch(val) [1][120/6282] eta: 0:42:39 time: 0.4154 data_time: 0.0918 memory: 37637 2022/08/08 20:21:14 - mmengine - INFO - Epoch(val) [1][140/6282] eta: 0:22:36 time: 0.2208 data_time: 0.1684 memory: 806 2022/08/08 20:21:27 - mmengine - INFO - Epoch(val) [1][160/6282] eta: 1:03:28 time: 0.6220 data_time: 0.5582 memory: 806 2022/08/08 20:21:30 - mmengine - INFO - Epoch(val) [1][180/6282] eta: 0:17:17 time: 0.1701 data_time: 0.1164 memory: 806 2022/08/08 20:21:41 - mmengine - INFO - Epoch(val) [1][200/6282] eta: 0:55:17 time: 0.5454 data_time: 0.1688 memory: 37611 2022/08/08 20:21:43 - mmengine - INFO - Epoch(val) [1][220/6282] eta: 0:11:42 time: 0.1159 data_time: 0.0761 memory: 736 2022/08/08 20:21:51 - mmengine - INFO - Epoch(val) [1][240/6282] eta: 0:39:52 time: 0.3960 data_time: 0.3545 memory: 736 2022/08/08 20:21:56 - mmengine - INFO - Epoch(val) [1][260/6282] eta: 0:22:12 time: 0.2213 data_time: 0.1789 memory: 736 2022/08/08 20:21:59 - mmengine - INFO - Epoch(val) [1][280/6282] eta: 0:18:02 time: 0.1803 data_time: 0.1185 memory: 736 2022/08/08 20:22:00 - mmengine - INFO - Epoch(val) [1][300/6282] eta: 0:06:45 time: 0.0678 data_time: 0.0082 memory: 806 2022/08/08 20:22:02 - mmengine - INFO - Epoch(val) [1][320/6282] eta: 0:08:57 time: 0.0902 data_time: 0.0252 memory: 806 2022/08/08 20:22:04 - mmengine - INFO - Epoch(val) [1][340/6282] eta: 0:08:47 time: 0.0888 data_time: 0.0246 memory: 806 2022/08/08 20:22:06 - mmengine - INFO - Epoch(val) [1][360/6282] eta: 0:08:25 time: 0.0854 data_time: 0.0242 memory: 806 2022/08/08 20:22:08 - mmengine - INFO - Epoch(val) [1][380/6282] eta: 0:09:18 time: 0.0946 data_time: 0.0331 memory: 806 2022/08/08 20:22:09 - mmengine - INFO - Epoch(val) [1][400/6282] eta: 0:07:44 time: 0.0789 data_time: 0.0067 memory: 6415 2022/08/08 20:22:10 - mmengine - INFO - Epoch(val) [1][420/6282] eta: 0:05:27 time: 0.0558 data_time: 0.0055 memory: 741 2022/08/08 20:22:12 - mmengine - INFO - Epoch(val) [1][440/6282] eta: 0:05:34 time: 0.0573 data_time: 0.0059 memory: 741 2022/08/08 20:22:13 - mmengine - INFO - Epoch(val) [1][460/6282] eta: 0:05:30 time: 0.0568 data_time: 0.0048 memory: 741 2022/08/08 20:22:14 - mmengine - INFO - Epoch(val) [1][480/6282] eta: 0:05:40 time: 0.0587 data_time: 0.0055 memory: 741 2022/08/08 20:22:15 - mmengine - INFO - Epoch(val) [1][500/6282] eta: 0:05:31 time: 0.0574 data_time: 0.0046 memory: 741 2022/08/08 20:22:16 - mmengine - INFO - Epoch(val) [1][520/6282] eta: 0:05:28 time: 0.0570 data_time: 0.0047 memory: 736 2022/08/08 20:22:17 - mmengine - INFO - Epoch(val) [1][540/6282] eta: 0:05:32 time: 0.0580 data_time: 0.0049 memory: 736 2022/08/08 20:22:18 - mmengine - INFO - Epoch(val) [1][560/6282] eta: 0:05:28 time: 0.0575 data_time: 0.0045 memory: 736 2022/08/08 20:22:20 - mmengine - INFO - Epoch(val) [1][580/6282] eta: 0:05:59 time: 0.0630 data_time: 0.0034 memory: 736 2022/08/08 20:22:21 - mmengine - INFO - Epoch(val) [1][600/6282] eta: 0:04:27 time: 0.0470 data_time: 0.0034 memory: 736 2022/08/08 20:22:30 - mmengine - INFO - Epoch(val) [1][620/6282] eta: 0:45:25 time: 0.4813 data_time: 0.0025 memory: 37608 2022/08/08 20:22:31 - mmengine - INFO - Epoch(val) [1][640/6282] eta: 0:04:29 time: 0.0477 data_time: 0.0033 memory: 731 2022/08/08 20:22:32 - mmengine - INFO - Epoch(val) [1][660/6282] eta: 0:05:38 time: 0.0603 data_time: 0.0040 memory: 731 2022/08/08 20:22:33 - mmengine - INFO - Epoch(val) [1][680/6282] eta: 0:04:49 time: 0.0517 data_time: 0.0038 memory: 731 2022/08/08 20:22:35 - mmengine - INFO - Epoch(val) [1][700/6282] eta: 0:04:59 time: 0.0536 data_time: 0.0050 memory: 731 2022/08/08 20:22:37 - mmengine - INFO - Epoch(val) [1][720/6282] eta: 0:12:10 time: 0.1314 data_time: 0.0696 memory: 806 2022/08/08 20:22:41 - mmengine - INFO - Epoch(val) [1][740/6282] eta: 0:17:24 time: 0.1885 data_time: 0.1274 memory: 806 2022/08/08 20:22:44 - mmengine - INFO - Epoch(val) [1][760/6282] eta: 0:12:31 time: 0.1362 data_time: 0.0764 memory: 806 2022/08/08 20:22:47 - mmengine - INFO - Epoch(val) [1][780/6282] eta: 0:16:50 time: 0.1836 data_time: 0.1224 memory: 806 2022/08/08 20:22:50 - mmengine - INFO - Epoch(val) [1][800/6282] eta: 0:13:23 time: 0.1466 data_time: 0.0868 memory: 806 2022/08/08 20:22:52 - mmengine - INFO - Epoch(val) [1][820/6282] eta: 0:08:29 time: 0.0933 data_time: 0.0395 memory: 806 2022/08/08 20:22:53 - mmengine - INFO - Epoch(val) [1][840/6282] eta: 0:06:01 time: 0.0665 data_time: 0.0049 memory: 736 2022/08/08 20:22:55 - mmengine - INFO - Epoch(val) [1][860/6282] eta: 0:05:10 time: 0.0572 data_time: 0.0039 memory: 736 2022/08/08 20:22:56 - mmengine - INFO - Epoch(val) [1][880/6282] eta: 0:05:10 time: 0.0576 data_time: 0.0045 memory: 736 2022/08/08 20:22:57 - mmengine - INFO - Epoch(val) [1][900/6282] eta: 0:05:06 time: 0.0569 data_time: 0.0051 memory: 736 2022/08/08 20:22:58 - mmengine - INFO - Epoch(val) [1][920/6282] eta: 0:04:47 time: 0.0536 data_time: 0.0054 memory: 736 2022/08/08 20:22:59 - mmengine - INFO - Epoch(val) [1][940/6282] eta: 0:04:47 time: 0.0537 data_time: 0.0055 memory: 721 2022/08/08 20:23:00 - mmengine - INFO - Epoch(val) [1][960/6282] eta: 0:04:38 time: 0.0523 data_time: 0.0048 memory: 721 2022/08/08 20:23:01 - mmengine - INFO - Epoch(val) [1][980/6282] eta: 0:05:03 time: 0.0572 data_time: 0.0058 memory: 721 2022/08/08 20:23:02 - mmengine - INFO - Epoch(val) [1][1000/6282] eta: 0:04:48 time: 0.0546 data_time: 0.0048 memory: 721 2022/08/08 20:23:04 - mmengine - INFO - Epoch(val) [1][1020/6282] eta: 0:07:07 time: 0.0812 data_time: 0.0044 memory: 736 2022/08/08 20:23:05 - mmengine - INFO - Epoch(val) [1][1040/6282] eta: 0:04:56 time: 0.0566 data_time: 0.0051 memory: 736 2022/08/08 20:23:06 - mmengine - INFO - Epoch(val) [1][1060/6282] eta: 0:04:46 time: 0.0548 data_time: 0.0046 memory: 736 2022/08/08 20:23:07 - mmengine - INFO - Epoch(val) [1][1080/6282] eta: 0:04:47 time: 0.0553 data_time: 0.0057 memory: 736 2022/08/08 20:23:08 - mmengine - INFO - Epoch(val) [1][1100/6282] eta: 0:04:45 time: 0.0552 data_time: 0.0054 memory: 736 2022/08/08 20:23:10 - mmengine - INFO - Epoch(val) [1][1120/6282] eta: 0:04:59 time: 0.0579 data_time: 0.0061 memory: 736 2022/08/08 20:23:11 - mmengine - INFO - Epoch(val) [1][1140/6282] eta: 0:04:43 time: 0.0552 data_time: 0.0046 memory: 736 2022/08/08 20:23:12 - mmengine - INFO - Epoch(val) [1][1160/6282] eta: 0:04:44 time: 0.0555 data_time: 0.0046 memory: 736 2022/08/08 20:23:13 - mmengine - INFO - Epoch(val) [1][1180/6282] eta: 0:05:00 time: 0.0589 data_time: 0.0071 memory: 736 2022/08/08 20:23:14 - mmengine - INFO - Epoch(val) [1][1200/6282] eta: 0:04:57 time: 0.0586 data_time: 0.0058 memory: 736 2022/08/08 20:23:15 - mmengine - INFO - Epoch(val) [1][1220/6282] eta: 0:05:04 time: 0.0601 data_time: 0.0052 memory: 736 2022/08/08 20:23:19 - mmengine - INFO - Epoch(val) [1][1240/6282] eta: 0:13:47 time: 0.1641 data_time: 0.1060 memory: 806 2022/08/08 20:23:22 - mmengine - INFO - Epoch(val) [1][1260/6282] eta: 0:12:54 time: 0.1542 data_time: 0.0966 memory: 806 2022/08/08 20:23:25 - mmengine - INFO - Epoch(val) [1][1280/6282] eta: 0:13:45 time: 0.1650 data_time: 0.0744 memory: 806 2022/08/08 20:23:28 - mmengine - INFO - Epoch(val) [1][1300/6282] eta: 0:13:07 time: 0.1581 data_time: 0.0999 memory: 806 2022/08/08 20:23:32 - mmengine - INFO - Epoch(val) [1][1320/6282] eta: 0:13:43 time: 0.1659 data_time: 0.1053 memory: 806 2022/08/08 20:23:35 - mmengine - INFO - Epoch(val) [1][1340/6282] eta: 0:12:48 time: 0.1554 data_time: 0.0975 memory: 806 2022/08/08 20:23:38 - mmengine - INFO - Epoch(val) [1][1360/6282] eta: 0:12:13 time: 0.1490 data_time: 0.0712 memory: 806 2022/08/08 20:23:41 - mmengine - INFO - Epoch(val) [1][1380/6282] eta: 0:12:52 time: 0.1575 data_time: 0.0949 memory: 806 2022/08/08 20:23:44 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:13:12 time: 0.1624 data_time: 0.1000 memory: 806 2022/08/08 20:23:47 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:14:12 time: 0.1753 data_time: 0.1013 memory: 806 2022/08/08 20:23:49 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:05:06 time: 0.0633 data_time: 0.0042 memory: 806 2022/08/08 20:23:50 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:05:08 time: 0.0639 data_time: 0.0049 memory: 806 2022/08/08 20:23:51 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:05:17 time: 0.0661 data_time: 0.0054 memory: 806 2022/08/08 20:23:53 - mmengine - INFO - Epoch(val) [1][1500/6282] eta: 0:05:14 time: 0.0658 data_time: 0.0055 memory: 806 2022/08/08 20:24:00 - mmengine - INFO - Epoch(val) [1][1520/6282] eta: 0:27:41 time: 0.3490 data_time: 0.0071 memory: 37675 2022/08/08 20:24:01 - mmengine - INFO - Epoch(val) [1][1540/6282] eta: 0:05:37 time: 0.0711 data_time: 0.0044 memory: 909 2022/08/08 20:24:02 - mmengine - INFO - Epoch(val) [1][1560/6282] eta: 0:05:31 time: 0.0701 data_time: 0.0043 memory: 909 2022/08/08 20:24:04 - mmengine - INFO - Epoch(val) [1][1580/6282] eta: 0:05:55 time: 0.0755 data_time: 0.0059 memory: 909 2022/08/08 20:24:05 - mmengine - INFO - Epoch(val) [1][1600/6282] eta: 0:05:25 time: 0.0696 data_time: 0.0041 memory: 909 2022/08/08 20:24:07 - mmengine - INFO - Epoch(val) [1][1620/6282] eta: 0:05:24 time: 0.0696 data_time: 0.0043 memory: 909 2022/08/08 20:24:08 - mmengine - INFO - Epoch(val) [1][1640/6282] eta: 0:04:58 time: 0.0642 data_time: 0.0040 memory: 806 2022/08/08 20:24:09 - mmengine - INFO - Epoch(val) [1][1660/6282] eta: 0:05:01 time: 0.0652 data_time: 0.0047 memory: 806 2022/08/08 20:24:11 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:05:11 time: 0.0677 data_time: 0.0056 memory: 806 2022/08/08 20:24:12 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:05:00 time: 0.0656 data_time: 0.0058 memory: 806 2022/08/08 20:24:13 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:04:49 time: 0.0634 data_time: 0.0044 memory: 806 2022/08/08 20:24:15 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:06:08 time: 0.0811 data_time: 0.0046 memory: 806 2022/08/08 20:24:16 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:04:39 time: 0.0619 data_time: 0.0042 memory: 806 2022/08/08 20:24:17 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:04:50 time: 0.0646 data_time: 0.0047 memory: 806 2022/08/08 20:24:19 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:04:37 time: 0.0618 data_time: 0.0041 memory: 806 2022/08/08 20:24:20 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:04:46 time: 0.0641 data_time: 0.0049 memory: 806 2022/08/08 20:24:21 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:05:26 time: 0.0735 data_time: 0.0121 memory: 806 2022/08/08 20:24:24 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:10:33 time: 0.1432 data_time: 0.0812 memory: 806 2022/08/08 20:24:27 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:09:08 time: 0.1245 data_time: 0.0653 memory: 806 2022/08/08 20:24:30 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:12:22 time: 0.1694 data_time: 0.1089 memory: 806 2022/08/08 20:24:33 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:10:02 time: 0.1381 data_time: 0.0768 memory: 806 2022/08/08 20:24:36 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:10:34 time: 0.1461 data_time: 0.0630 memory: 806 2022/08/08 20:24:37 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:04:09 time: 0.0576 data_time: 0.0055 memory: 741 2022/08/08 20:24:38 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:03:59 time: 0.0557 data_time: 0.0051 memory: 741 2022/08/08 20:24:39 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:03:49 time: 0.0537 data_time: 0.0044 memory: 741 2022/08/08 20:24:40 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:04:13 time: 0.0595 data_time: 0.0064 memory: 741 2022/08/08 20:24:42 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:03:46 time: 0.0534 data_time: 0.0045 memory: 741 2022/08/08 20:24:43 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:03:56 time: 0.0560 data_time: 0.0048 memory: 741 2022/08/08 20:24:44 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:03:53 time: 0.0555 data_time: 0.0046 memory: 741 2022/08/08 20:24:45 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:04:04 time: 0.0584 data_time: 0.0049 memory: 741 2022/08/08 20:24:46 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:04:02 time: 0.0582 data_time: 0.0051 memory: 741 2022/08/08 20:24:47 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:03:55 time: 0.0568 data_time: 0.0053 memory: 741 2022/08/08 20:24:48 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:03:52 time: 0.0564 data_time: 0.0046 memory: 736 2022/08/08 20:24:49 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:03:45 time: 0.0551 data_time: 0.0050 memory: 736 2022/08/08 20:24:51 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:03:48 time: 0.0560 data_time: 0.0047 memory: 736 2022/08/08 20:24:52 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:03:52 time: 0.0571 data_time: 0.0048 memory: 736 2022/08/08 20:24:53 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:03:44 time: 0.0555 data_time: 0.0046 memory: 736 2022/08/08 20:24:54 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:05:04 time: 0.0756 data_time: 0.0045 memory: 741 2022/08/08 20:24:55 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:03:47 time: 0.0569 data_time: 0.0046 memory: 741 2022/08/08 20:24:57 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:03:36 time: 0.0545 data_time: 0.0047 memory: 741 2022/08/08 20:24:58 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:03:44 time: 0.0566 data_time: 0.0052 memory: 741 2022/08/08 20:24:59 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:03:43 time: 0.0567 data_time: 0.0054 memory: 741 2022/08/08 20:25:00 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:03:43 time: 0.0569 data_time: 0.0042 memory: 736 2022/08/08 20:25:01 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:03:41 time: 0.0567 data_time: 0.0053 memory: 736 2022/08/08 20:25:02 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:03:43 time: 0.0576 data_time: 0.0065 memory: 736 2022/08/08 20:25:03 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:03:35 time: 0.0558 data_time: 0.0052 memory: 736 2022/08/08 20:25:05 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:03:35 time: 0.0562 data_time: 0.0043 memory: 736 2022/08/08 20:25:06 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:04:19 time: 0.0678 data_time: 0.0056 memory: 806 2022/08/08 20:25:07 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:04:22 time: 0.0690 data_time: 0.0058 memory: 806 2022/08/08 20:25:09 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:05:24 time: 0.0857 data_time: 0.0213 memory: 806 2022/08/08 20:25:11 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:05:21 time: 0.0854 data_time: 0.0200 memory: 806 2022/08/08 20:25:13 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:08:09 time: 0.1307 data_time: 0.0629 memory: 806 2022/08/08 20:25:16 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:09:33 time: 0.1541 data_time: 0.0879 memory: 806 2022/08/08 20:25:20 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:11:58 time: 0.1941 data_time: 0.1290 memory: 806 2022/08/08 20:25:23 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:09:10 time: 0.1496 data_time: 0.0901 memory: 806 2022/08/08 20:25:27 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:10:43 time: 0.1759 data_time: 0.1119 memory: 806 2022/08/08 20:25:29 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:07:32 time: 0.1243 data_time: 0.0677 memory: 806 2022/08/08 20:25:37 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:22:39 time: 0.3753 data_time: 0.0035 memory: 37673 2022/08/08 20:25:38 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:04:00 time: 0.0669 data_time: 0.0034 memory: 899 2022/08/08 20:25:39 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:04:04 time: 0.0682 data_time: 0.0040 memory: 899 2022/08/08 20:25:41 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:04:02 time: 0.0680 data_time: 0.0040 memory: 899 2022/08/08 20:25:42 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:04:08 time: 0.0703 data_time: 0.0049 memory: 899 2022/08/08 20:25:43 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:03:18 time: 0.0563 data_time: 0.0045 memory: 741 2022/08/08 20:25:45 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:04:51 time: 0.0832 data_time: 0.0043 memory: 741 2022/08/08 20:25:46 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:03:24 time: 0.0588 data_time: 0.0049 memory: 741 2022/08/08 20:25:47 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:03:28 time: 0.0602 data_time: 0.0070 memory: 741 2022/08/08 20:25:49 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:03:14 time: 0.0564 data_time: 0.0045 memory: 741 2022/08/08 20:25:50 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:03:32 time: 0.0621 data_time: 0.0054 memory: 806 2022/08/08 20:25:51 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:04:01 time: 0.0709 data_time: 0.0079 memory: 806 2022/08/08 20:25:53 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:04:09 time: 0.0738 data_time: 0.0142 memory: 806 2022/08/08 20:25:58 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:16:12 time: 0.2893 data_time: 0.0069 memory: 37622 2022/08/08 20:26:00 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:02:54 time: 0.0522 data_time: 0.0035 memory: 769 2022/08/08 20:26:01 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:02:43 time: 0.0493 data_time: 0.0030 memory: 769 2022/08/08 20:26:01 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:02:36 time: 0.0474 data_time: 0.0027 memory: 769 2022/08/08 20:26:02 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:02:39 time: 0.0487 data_time: 0.0034 memory: 769 2022/08/08 20:26:04 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:03:04 time: 0.0565 data_time: 0.0031 memory: 806 2022/08/08 20:26:05 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:04:46 time: 0.0884 data_time: 0.0035 memory: 806 2022/08/08 20:26:07 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:03:07 time: 0.0582 data_time: 0.0033 memory: 806 2022/08/08 20:26:08 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:03:08 time: 0.0588 data_time: 0.0036 memory: 806 2022/08/08 20:26:09 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:02:57 time: 0.0559 data_time: 0.0041 memory: 806 2022/08/08 20:26:10 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:02:52 time: 0.0546 data_time: 0.0042 memory: 741 2022/08/08 20:26:11 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:02:43 time: 0.0519 data_time: 0.0038 memory: 741 2022/08/08 20:26:12 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:02:49 time: 0.0542 data_time: 0.0047 memory: 741 2022/08/08 20:26:13 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:02:49 time: 0.0547 data_time: 0.0045 memory: 741 2022/08/08 20:26:14 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:03:22 time: 0.0657 data_time: 0.0085 memory: 806 2022/08/08 20:26:16 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:03:31 time: 0.0691 data_time: 0.0060 memory: 806 2022/08/08 20:26:17 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:03:43 time: 0.0735 data_time: 0.0099 memory: 806 2022/08/08 20:26:19 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:03:29 time: 0.0692 data_time: 0.0059 memory: 806 2022/08/08 20:26:20 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:03:35 time: 0.0717 data_time: 0.0058 memory: 806 2022/08/08 20:26:22 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:03:28 time: 0.0698 data_time: 0.0047 memory: 806 2022/08/08 20:26:23 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:03:31 time: 0.0714 data_time: 0.0062 memory: 806 2022/08/08 20:26:25 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:04:56 time: 0.1006 data_time: 0.0076 memory: 806 2022/08/08 20:26:26 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:03:27 time: 0.0709 data_time: 0.0064 memory: 806 2022/08/08 20:26:28 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:03:12 time: 0.0662 data_time: 0.0068 memory: 806 2022/08/08 20:26:29 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:02:41 time: 0.0561 data_time: 0.0070 memory: 736 2022/08/08 20:26:30 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:02:37 time: 0.0551 data_time: 0.0051 memory: 736 2022/08/08 20:26:31 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:02:28 time: 0.0523 data_time: 0.0039 memory: 736 2022/08/08 20:26:32 - mmengine - INFO - Epoch(val) [1][3460/6282] eta: 0:02:26 time: 0.0519 data_time: 0.0039 memory: 736 2022/08/08 20:26:33 - mmengine - INFO - Epoch(val) [1][3480/6282] eta: 0:02:23 time: 0.0512 data_time: 0.0044 memory: 736 2022/08/08 20:26:34 - mmengine - INFO - Epoch(val) [1][3500/6282] eta: 0:02:18 time: 0.0498 data_time: 0.0038 memory: 736 2022/08/08 20:26:35 - mmengine - INFO - Epoch(val) [1][3520/6282] eta: 0:02:33 time: 0.0555 data_time: 0.0054 memory: 736 2022/08/08 20:26:36 - mmengine - INFO - Epoch(val) [1][3540/6282] eta: 0:02:21 time: 0.0517 data_time: 0.0037 memory: 736 2022/08/08 20:26:37 - mmengine - INFO - Epoch(val) [1][3560/6282] eta: 0:02:18 time: 0.0508 data_time: 0.0037 memory: 736 2022/08/08 20:26:41 - mmengine - INFO - Epoch(val) [1][3580/6282] eta: 0:09:23 time: 0.2087 data_time: 0.0047 memory: 37629 2022/08/08 20:26:43 - mmengine - INFO - Epoch(val) [1][3600/6282] eta: 0:02:44 time: 0.0614 data_time: 0.0052 memory: 786 2022/08/08 20:26:44 - mmengine - INFO - Epoch(val) [1][3620/6282] eta: 0:02:42 time: 0.0610 data_time: 0.0050 memory: 786 2022/08/08 20:26:45 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:03:30 time: 0.0797 data_time: 0.0049 memory: 786 2022/08/08 20:26:46 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:02:17 time: 0.0523 data_time: 0.0029 memory: 786 2022/08/08 20:26:48 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:02:25 time: 0.0560 data_time: 0.0051 memory: 806 2022/08/08 20:26:49 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:02:32 time: 0.0589 data_time: 0.0045 memory: 806 2022/08/08 20:26:50 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:02:33 time: 0.0600 data_time: 0.0047 memory: 806 2022/08/08 20:26:51 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:02:38 time: 0.0625 data_time: 0.0044 memory: 806 2022/08/08 20:26:53 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:02:46 time: 0.0660 data_time: 0.0044 memory: 806 2022/08/08 20:26:54 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:02:56 time: 0.0705 data_time: 0.0066 memory: 806 2022/08/08 20:26:56 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:03:32 time: 0.0855 data_time: 0.0229 memory: 806 2022/08/08 20:26:58 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:03:48 time: 0.0928 data_time: 0.0295 memory: 806 2022/08/08 20:26:59 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:03:39 time: 0.0897 data_time: 0.0241 memory: 806 2022/08/08 20:27:01 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:03:16 time: 0.0813 data_time: 0.0178 memory: 806 2022/08/08 20:27:03 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:03:56 time: 0.0983 data_time: 0.0332 memory: 806 2022/08/08 20:27:05 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:04:06 time: 0.1033 data_time: 0.0154 memory: 806 2022/08/08 20:27:06 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:02:44 time: 0.0698 data_time: 0.0064 memory: 806 2022/08/08 20:27:08 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:02:48 time: 0.0718 data_time: 0.0054 memory: 806 2022/08/08 20:27:09 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:02:48 time: 0.0725 data_time: 0.0111 memory: 806 2022/08/08 20:27:11 - mmengine - INFO - Epoch(val) [1][3980/6282] eta: 0:02:32 time: 0.0661 data_time: 0.0056 memory: 806 2022/08/08 20:27:12 - mmengine - INFO - Epoch(val) [1][4000/6282] eta: 0:02:26 time: 0.0643 data_time: 0.0050 memory: 806 2022/08/08 20:27:13 - mmengine - INFO - Epoch(val) [1][4020/6282] eta: 0:02:40 time: 0.0710 data_time: 0.0057 memory: 806 2022/08/08 20:27:15 - mmengine - INFO - Epoch(val) [1][4040/6282] eta: 0:02:44 time: 0.0735 data_time: 0.0079 memory: 899 2022/08/08 20:27:16 - mmengine - INFO - Epoch(val) [1][4060/6282] eta: 0:02:52 time: 0.0778 data_time: 0.0061 memory: 899 2022/08/08 20:27:18 - mmengine - INFO - Epoch(val) [1][4080/6282] eta: 0:02:48 time: 0.0764 data_time: 0.0058 memory: 899 2022/08/08 20:27:19 - mmengine - INFO - Epoch(val) [1][4100/6282] eta: 0:02:51 time: 0.0784 data_time: 0.0063 memory: 899 2022/08/08 20:27:21 - mmengine - INFO - Epoch(val) [1][4120/6282] eta: 0:02:51 time: 0.0793 data_time: 0.0061 memory: 899 2022/08/08 20:27:22 - mmengine - INFO - Epoch(val) [1][4140/6282] eta: 0:02:29 time: 0.0697 data_time: 0.0066 memory: 899 2022/08/08 20:27:24 - mmengine - INFO - Epoch(val) [1][4160/6282] eta: 0:01:52 time: 0.0531 data_time: 0.0052 memory: 736 2022/08/08 20:27:25 - mmengine - INFO - Epoch(val) [1][4180/6282] eta: 0:02:44 time: 0.0784 data_time: 0.0046 memory: 736 2022/08/08 20:27:26 - mmengine - INFO - Epoch(val) [1][4200/6282] eta: 0:01:46 time: 0.0512 data_time: 0.0040 memory: 736 2022/08/08 20:27:27 - mmengine - INFO - Epoch(val) [1][4220/6282] eta: 0:01:39 time: 0.0483 data_time: 0.0034 memory: 736 2022/08/08 20:27:28 - mmengine - INFO - Epoch(val) [1][4240/6282] eta: 0:01:46 time: 0.0520 data_time: 0.0031 memory: 2121 2022/08/08 20:27:29 - mmengine - INFO - Epoch(val) [1][4260/6282] eta: 0:01:40 time: 0.0498 data_time: 0.0032 memory: 734 2022/08/08 20:27:30 - mmengine - INFO - Epoch(val) [1][4280/6282] eta: 0:01:40 time: 0.0500 data_time: 0.0036 memory: 734 2022/08/08 20:27:31 - mmengine - INFO - Epoch(val) [1][4300/6282] eta: 0:01:36 time: 0.0486 data_time: 0.0035 memory: 734 2022/08/08 20:27:32 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:01:36 time: 0.0494 data_time: 0.0039 memory: 734 2022/08/08 20:27:33 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:01:31 time: 0.0471 data_time: 0.0032 memory: 734 2022/08/08 20:27:34 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:02:03 time: 0.0641 data_time: 0.0046 memory: 806 2022/08/08 20:27:36 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:01:58 time: 0.0624 data_time: 0.0038 memory: 806 2022/08/08 20:27:37 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:01:50 time: 0.0585 data_time: 0.0035 memory: 806 2022/08/08 20:27:38 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:01:54 time: 0.0616 data_time: 0.0037 memory: 806 2022/08/08 20:27:42 - mmengine - INFO - Epoch(val) [1][4440/6282] eta: 0:06:33 time: 0.2139 data_time: 0.0046 memory: 37641 2022/08/08 20:27:44 - mmengine - INFO - Epoch(val) [1][4460/6282] eta: 0:02:01 time: 0.0668 data_time: 0.0054 memory: 814 2022/08/08 20:27:45 - mmengine - INFO - Epoch(val) [1][4480/6282] eta: 0:02:44 time: 0.0910 data_time: 0.0049 memory: 814 2022/08/08 20:27:47 - mmengine - INFO - Epoch(val) [1][4500/6282] eta: 0:01:50 time: 0.0620 data_time: 0.0044 memory: 814 2022/08/08 20:27:49 - mmengine - INFO - Epoch(val) [1][4520/6282] eta: 0:03:24 time: 0.1162 data_time: 0.0037 memory: 814 2022/08/08 20:27:50 - mmengine - INFO - Epoch(val) [1][4540/6282] eta: 0:01:22 time: 0.0472 data_time: 0.0033 memory: 741 2022/08/08 20:27:51 - mmengine - INFO - Epoch(val) [1][4560/6282] eta: 0:01:17 time: 0.0448 data_time: 0.0028 memory: 741 2022/08/08 20:27:52 - mmengine - INFO - Epoch(val) [1][4580/6282] eta: 0:01:15 time: 0.0443 data_time: 0.0027 memory: 741 2022/08/08 20:27:53 - mmengine - INFO - Epoch(val) [1][4600/6282] eta: 0:01:14 time: 0.0441 data_time: 0.0027 memory: 741 2022/08/08 20:27:53 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:01:16 time: 0.0458 data_time: 0.0030 memory: 741 2022/08/08 20:27:55 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:01:38 time: 0.0601 data_time: 0.0040 memory: 814 2022/08/08 20:27:56 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:01:37 time: 0.0602 data_time: 0.0033 memory: 814 2022/08/08 20:27:57 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:01:44 time: 0.0650 data_time: 0.0044 memory: 814 2022/08/08 20:27:59 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:01:43 time: 0.0652 data_time: 0.0044 memory: 814 2022/08/08 20:28:00 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:02:04 time: 0.0794 data_time: 0.0064 memory: 6425 2022/08/08 20:28:01 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:01:28 time: 0.0576 data_time: 0.0049 memory: 766 2022/08/08 20:28:02 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:01:27 time: 0.0577 data_time: 0.0050 memory: 766 2022/08/08 20:28:04 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:34 time: 0.0632 data_time: 0.0062 memory: 766 2022/08/08 20:28:05 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:35 time: 0.0645 data_time: 0.0048 memory: 766 2022/08/08 20:28:06 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:01:29 time: 0.0610 data_time: 0.0050 memory: 806 2022/08/08 20:28:08 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:02:07 time: 0.0882 data_time: 0.0050 memory: 806 2022/08/08 20:28:09 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:01:30 time: 0.0633 data_time: 0.0043 memory: 806 2022/08/08 20:28:11 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:01:30 time: 0.0645 data_time: 0.0050 memory: 806 2022/08/08 20:28:12 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:01:28 time: 0.0637 data_time: 0.0046 memory: 806 2022/08/08 20:28:13 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:01:43 time: 0.0756 data_time: 0.0041 memory: 6442 2022/08/08 20:28:15 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:26 time: 0.0645 data_time: 0.0060 memory: 809 2022/08/08 20:28:16 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:01:25 time: 0.0648 data_time: 0.0045 memory: 809 2022/08/08 20:28:17 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:01:24 time: 0.0647 data_time: 0.0054 memory: 809 2022/08/08 20:28:18 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:01:20 time: 0.0628 data_time: 0.0047 memory: 809 2022/08/08 20:28:20 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:01:12 time: 0.0571 data_time: 0.0041 memory: 809 2022/08/08 20:28:21 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:01:08 time: 0.0552 data_time: 0.0042 memory: 741 2022/08/08 20:28:22 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:01:06 time: 0.0545 data_time: 0.0046 memory: 741 2022/08/08 20:28:23 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:01:06 time: 0.0555 data_time: 0.0049 memory: 741 2022/08/08 20:28:24 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:01:05 time: 0.0555 data_time: 0.0042 memory: 741 2022/08/08 20:28:26 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:01:35 time: 0.0819 data_time: 0.0044 memory: 741 2022/08/08 20:28:27 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:01:03 time: 0.0557 data_time: 0.0046 memory: 736 2022/08/08 20:28:28 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:01:01 time: 0.0547 data_time: 0.0062 memory: 736 2022/08/08 20:28:29 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:01:01 time: 0.0556 data_time: 0.0053 memory: 736 2022/08/08 20:28:30 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:01:00 time: 0.0561 data_time: 0.0047 memory: 736 2022/08/08 20:28:31 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:01:00 time: 0.0572 data_time: 0.0053 memory: 736 2022/08/08 20:28:32 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:00:58 time: 0.0564 data_time: 0.0063 memory: 734 2022/08/08 20:28:33 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:00:54 time: 0.0531 data_time: 0.0042 memory: 734 2022/08/08 20:28:34 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:00:51 time: 0.0517 data_time: 0.0040 memory: 734 2022/08/08 20:28:36 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:00:51 time: 0.0529 data_time: 0.0038 memory: 734 2022/08/08 20:28:37 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:00:53 time: 0.0557 data_time: 0.0049 memory: 736 2022/08/08 20:28:38 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:01:15 time: 0.0802 data_time: 0.0046 memory: 736 2022/08/08 20:28:39 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:00:51 time: 0.0555 data_time: 0.0049 memory: 736 2022/08/08 20:28:40 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:00:48 time: 0.0538 data_time: 0.0042 memory: 736 2022/08/08 20:28:41 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:00:43 time: 0.0497 data_time: 0.0033 memory: 736 2022/08/08 20:28:42 - mmengine - INFO - Epoch(val) [1][5420/6282] eta: 0:00:42 time: 0.0492 data_time: 0.0033 memory: 736 2022/08/08 20:28:43 - mmengine - INFO - Epoch(val) [1][5440/6282] eta: 0:00:42 time: 0.0500 data_time: 0.0032 memory: 736 2022/08/08 20:28:44 - mmengine - INFO - Epoch(val) [1][5460/6282] eta: 0:00:43 time: 0.0530 data_time: 0.0048 memory: 736 2022/08/08 20:28:45 - mmengine - INFO - Epoch(val) [1][5480/6282] eta: 0:00:39 time: 0.0492 data_time: 0.0031 memory: 736 2022/08/08 20:28:47 - mmengine - INFO - Epoch(val) [1][5500/6282] eta: 0:00:42 time: 0.0539 data_time: 0.0046 memory: 736 2022/08/08 20:28:51 - mmengine - INFO - Epoch(val) [1][5520/6282] eta: 0:02:40 time: 0.2108 data_time: 0.0045 memory: 37619 2022/08/08 20:28:52 - mmengine - INFO - Epoch(val) [1][5540/6282] eta: 0:00:47 time: 0.0635 data_time: 0.0053 memory: 761 2022/08/08 20:28:53 - mmengine - INFO - Epoch(val) [1][5560/6282] eta: 0:00:42 time: 0.0585 data_time: 0.0051 memory: 761 2022/08/08 20:28:55 - mmengine - INFO - Epoch(val) [1][5580/6282] eta: 0:00:57 time: 0.0814 data_time: 0.0051 memory: 761 2022/08/08 20:28:56 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:00:33 time: 0.0494 data_time: 0.0033 memory: 761 2022/08/08 20:28:57 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:33 time: 0.0505 data_time: 0.0037 memory: 761 2022/08/08 20:28:58 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:00:27 time: 0.0433 data_time: 0.0028 memory: 736 2022/08/08 20:28:59 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:26 time: 0.0432 data_time: 0.0026 memory: 736 2022/08/08 20:29:00 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:28 time: 0.0478 data_time: 0.0032 memory: 736 2022/08/08 20:29:00 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:27 time: 0.0474 data_time: 0.0034 memory: 736 2022/08/08 20:29:09 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:03:46 time: 0.4023 data_time: 0.0031 memory: 37626 2022/08/08 20:29:10 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:29 time: 0.0549 data_time: 0.0041 memory: 776 2022/08/08 20:29:11 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:00:26 time: 0.0499 data_time: 0.0035 memory: 776 2022/08/08 20:29:12 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:26 time: 0.0525 data_time: 0.0036 memory: 776 2022/08/08 20:29:13 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:26 time: 0.0548 data_time: 0.0043 memory: 776 2022/08/08 20:29:14 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:23 time: 0.0513 data_time: 0.0040 memory: 776 2022/08/08 20:29:15 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:22 time: 0.0518 data_time: 0.0035 memory: 761 2022/08/08 20:29:16 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:22 time: 0.0526 data_time: 0.0045 memory: 761 2022/08/08 20:29:17 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:20 time: 0.0500 data_time: 0.0035 memory: 761 2022/08/08 20:29:18 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:19 time: 0.0523 data_time: 0.0046 memory: 761 2022/08/08 20:29:19 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:16 time: 0.0469 data_time: 0.0029 memory: 761 2022/08/08 20:29:20 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:17 time: 0.0511 data_time: 0.0036 memory: 736 2022/08/08 20:29:21 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:15 time: 0.0496 data_time: 0.0039 memory: 736 2022/08/08 20:29:22 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:14 time: 0.0496 data_time: 0.0041 memory: 736 2022/08/08 20:29:23 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:16 time: 0.0592 data_time: 0.0043 memory: 806 2022/08/08 20:29:24 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:16 time: 0.0613 data_time: 0.0046 memory: 806 2022/08/08 20:29:26 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:21 time: 0.0895 data_time: 0.0057 memory: 806 2022/08/08 20:29:27 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:13 time: 0.0607 data_time: 0.0037 memory: 806 2022/08/08 20:29:29 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:12 time: 0.0619 data_time: 0.0053 memory: 806 2022/08/08 20:29:30 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:11 time: 0.0652 data_time: 0.0050 memory: 806 2022/08/08 20:29:31 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:10 time: 0.0631 data_time: 0.0052 memory: 806 2022/08/08 20:29:32 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:09 time: 0.0671 data_time: 0.0101 memory: 806 2022/08/08 20:29:34 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:08 time: 0.0720 data_time: 0.0175 memory: 806 2022/08/08 20:29:35 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:07 time: 0.0689 data_time: 0.0128 memory: 806 2022/08/08 20:29:36 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:04 time: 0.0572 data_time: 0.0032 memory: 806 2022/08/08 20:29:38 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:03 time: 0.0579 data_time: 0.0038 memory: 806 2022/08/08 20:29:39 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:02 time: 0.0565 data_time: 0.0036 memory: 806 2022/08/08 20:29:40 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:01 time: 0.0619 data_time: 0.0075 memory: 806 2022/08/08 20:29:41 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.0571 data_time: 0.0034 memory: 806 2022/08/08 20:35:12 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.1749 2022/08/08 20:35:16 - mmengine - INFO - The best checkpoint with 0.1749 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2022/08/08 20:35:31 - mmengine - INFO - Epoch(train) [2][20/2881] lr: 3.2500e-02 eta: 10:37:51 time: 0.7305 data_time: 0.1306 memory: 13802 grad_norm: 0.2273 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.4958 recall@top3: 0.7014 prec@top3: 0.4722 recall@top5: 0.8958 prec@top5: 0.3750 loss_action_cls: 0.0791 loss: 0.0791 2022/08/08 20:35:43 - mmengine - INFO - Epoch(train) [2][40/2881] lr: 3.2500e-02 eta: 10:37:03 time: 0.6086 data_time: 0.0234 memory: 13802 grad_norm: 0.2167 recall@thr=0.5: 0.5194 prec@thr=0.5: 0.6019 recall@top3: 0.7694 prec@top3: 0.5370 recall@top5: 0.8963 prec@top5: 0.4000 loss_action_cls: 0.0784 loss: 0.0784 2022/08/08 20:35:56 - mmengine - INFO - Epoch(train) [2][60/2881] lr: 3.2500e-02 eta: 10:36:25 time: 0.6327 data_time: 0.0248 memory: 13802 grad_norm: 0.1899 recall@thr=0.5: 0.5253 prec@thr=0.5: 0.7581 recall@top3: 0.7081 prec@top3: 0.6559 recall@top5: 0.8720 prec@top5: 0.4710 loss_action_cls: 0.0822 loss: 0.0822 2022/08/08 20:36:08 - mmengine - INFO - Epoch(train) [2][80/2881] lr: 3.2500e-02 eta: 10:35:49 time: 0.6397 data_time: 0.0306 memory: 13802 grad_norm: 0.2008 recall@thr=0.5: 0.7325 prec@thr=0.5: 0.8708 recall@top3: 0.8342 prec@top3: 0.7667 recall@top5: 0.9050 prec@top5: 0.5100 loss_action_cls: 0.0899 loss: 0.0899 2022/08/08 20:36:21 - mmengine - INFO - Epoch(train) [2][100/2881] lr: 3.2500e-02 eta: 10:35:09 time: 0.6269 data_time: 0.0232 memory: 13802 grad_norm: 0.1962 recall@thr=0.5: 0.6640 prec@thr=0.5: 0.6711 recall@top3: 0.7535 prec@top3: 0.6140 recall@top5: 0.9237 prec@top5: 0.4842 loss_action_cls: 0.0857 loss: 0.0857 2022/08/08 20:36:33 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 20:36:34 - mmengine - INFO - Epoch(train) [2][120/2881] lr: 3.2500e-02 eta: 10:34:31 time: 0.6320 data_time: 0.0255 memory: 13802 grad_norm: 0.2226 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.5947 recall@top3: 0.7424 prec@top3: 0.6515 recall@top5: 0.8788 prec@top5: 0.4727 loss_action_cls: 0.0639 loss: 0.0639 2022/08/08 20:36:46 - mmengine - INFO - Epoch(train) [2][140/2881] lr: 3.2500e-02 eta: 10:33:58 time: 0.6442 data_time: 0.0230 memory: 13802 grad_norm: 0.2274 recall@thr=0.5: 0.3036 prec@thr=0.5: 0.4638 recall@top3: 0.4087 prec@top3: 0.3913 recall@top5: 0.7261 prec@top5: 0.4174 loss_action_cls: 0.0737 loss: 0.0737 2022/08/08 20:36:59 - mmengine - INFO - Epoch(train) [2][160/2881] lr: 3.2500e-02 eta: 10:33:22 time: 0.6346 data_time: 0.0233 memory: 13802 grad_norm: 0.2014 recall@thr=0.5: 0.4123 prec@thr=0.5: 0.5965 recall@top3: 0.6316 prec@top3: 0.5439 recall@top5: 0.8772 prec@top5: 0.4632 loss_action_cls: 0.0910 loss: 0.0910 2022/08/08 20:37:11 - mmengine - INFO - Epoch(train) [2][180/2881] lr: 3.2500e-02 eta: 10:32:40 time: 0.6162 data_time: 0.0223 memory: 13802 grad_norm: 0.1887 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.6884 recall@top3: 0.7203 prec@top3: 0.5652 recall@top5: 0.8710 prec@top5: 0.4348 loss_action_cls: 0.0772 loss: 0.0772 2022/08/08 20:37:24 - mmengine - INFO - Epoch(train) [2][200/2881] lr: 3.2500e-02 eta: 10:32:05 time: 0.6371 data_time: 0.0225 memory: 13802 grad_norm: 0.1984 recall@thr=0.5: 0.4781 prec@thr=0.5: 0.5877 recall@top3: 0.7105 prec@top3: 0.5789 recall@top5: 0.8421 prec@top5: 0.4105 loss_action_cls: 0.0743 loss: 0.0743 2022/08/08 20:37:37 - mmengine - INFO - Epoch(train) [2][220/2881] lr: 3.2500e-02 eta: 10:31:34 time: 0.6477 data_time: 0.0219 memory: 13802 grad_norm: 0.2175 recall@thr=0.5: 0.5573 prec@thr=0.5: 0.5208 recall@top3: 0.7240 prec@top3: 0.5417 recall@top5: 0.8333 prec@top5: 0.3875 loss_action_cls: 0.0865 loss: 0.0865 2022/08/08 20:37:49 - mmengine - INFO - Epoch(train) [2][240/2881] lr: 3.2500e-02 eta: 10:30:51 time: 0.6102 data_time: 0.0236 memory: 13802 grad_norm: 0.2057 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.7222 recall@top3: 0.5639 prec@top3: 0.5222 recall@top5: 0.8583 prec@top5: 0.4600 loss_action_cls: 0.0893 loss: 0.0893 2022/08/08 20:38:02 - mmengine - INFO - Epoch(train) [2][260/2881] lr: 3.2500e-02 eta: 10:30:18 time: 0.6405 data_time: 0.0229 memory: 13802 grad_norm: 0.2086 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7604 recall@top3: 0.6146 prec@top3: 0.4792 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0869 loss: 0.0869 2022/08/08 20:38:14 - mmengine - INFO - Epoch(train) [2][280/2881] lr: 3.2500e-02 eta: 10:29:36 time: 0.6121 data_time: 0.0297 memory: 13802 grad_norm: 0.2175 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.5882 recall@top3: 0.7157 prec@top3: 0.5098 recall@top5: 0.9510 prec@top5: 0.4118 loss_action_cls: 0.0925 loss: 0.0925 2022/08/08 20:38:27 - mmengine - INFO - Epoch(train) [2][300/2881] lr: 3.2500e-02 eta: 10:29:00 time: 0.6285 data_time: 0.0241 memory: 13802 grad_norm: 0.2042 recall@thr=0.5: 0.5700 prec@thr=0.5: 0.8083 recall@top3: 0.8233 prec@top3: 0.7667 recall@top5: 0.9217 prec@top5: 0.5400 loss_action_cls: 0.0769 loss: 0.0769 2022/08/08 20:38:40 - mmengine - INFO - Epoch(train) [2][320/2881] lr: 3.2500e-02 eta: 10:28:25 time: 0.6321 data_time: 0.0229 memory: 13802 grad_norm: 0.2002 recall@thr=0.5: 0.6023 prec@thr=0.5: 0.8485 recall@top3: 0.8333 prec@top3: 0.6818 recall@top5: 0.9848 prec@top5: 0.5091 loss_action_cls: 0.0779 loss: 0.0779 2022/08/08 20:38:52 - mmengine - INFO - Epoch(train) [2][340/2881] lr: 3.2500e-02 eta: 10:27:53 time: 0.6385 data_time: 0.0213 memory: 13802 grad_norm: 0.1934 recall@thr=0.5: 0.4042 prec@thr=0.5: 0.4833 recall@top3: 0.5208 prec@top3: 0.4333 recall@top5: 0.9292 prec@top5: 0.4600 loss_action_cls: 0.0894 loss: 0.0894 2022/08/08 20:39:05 - mmengine - INFO - Epoch(train) [2][360/2881] lr: 3.2500e-02 eta: 10:27:21 time: 0.6401 data_time: 0.0260 memory: 13802 grad_norm: 0.1940 recall@thr=0.5: 0.6075 prec@thr=0.5: 0.7258 recall@top3: 0.8333 prec@top3: 0.6344 recall@top5: 0.9301 prec@top5: 0.4323 loss_action_cls: 0.0820 loss: 0.0820 2022/08/08 20:39:18 - mmengine - INFO - Epoch(train) [2][380/2881] lr: 3.2500e-02 eta: 10:26:49 time: 0.6376 data_time: 0.0310 memory: 13802 grad_norm: 0.1974 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.7681 recall@top3: 0.7536 prec@top3: 0.5217 recall@top5: 0.8406 prec@top5: 0.3565 loss_action_cls: 0.0754 loss: 0.0754 2022/08/08 20:39:31 - mmengine - INFO - Epoch(train) [2][400/2881] lr: 3.2500e-02 eta: 10:26:16 time: 0.6331 data_time: 0.0226 memory: 13802 grad_norm: 0.1951 recall@thr=0.5: 0.6093 prec@thr=0.5: 0.7233 recall@top3: 0.6653 prec@top3: 0.6000 recall@top5: 0.8207 prec@top5: 0.4640 loss_action_cls: 0.0879 loss: 0.0879 2022/08/08 20:39:43 - mmengine - INFO - Epoch(train) [2][420/2881] lr: 3.2500e-02 eta: 10:25:45 time: 0.6395 data_time: 0.0222 memory: 13802 grad_norm: 0.1912 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.7083 recall@top3: 0.6198 prec@top3: 0.5625 recall@top5: 0.8594 prec@top5: 0.4875 loss_action_cls: 0.0946 loss: 0.0946 2022/08/08 20:39:56 - mmengine - INFO - Epoch(train) [2][440/2881] lr: 3.2500e-02 eta: 10:25:16 time: 0.6446 data_time: 0.0246 memory: 13802 grad_norm: 0.1834 recall@thr=0.5: 0.4427 prec@thr=0.5: 0.5833 recall@top3: 0.6198 prec@top3: 0.5208 recall@top5: 0.8490 prec@top5: 0.4250 loss_action_cls: 0.0861 loss: 0.0861 2022/08/08 20:40:09 - mmengine - INFO - Epoch(train) [2][460/2881] lr: 3.2500e-02 eta: 10:24:44 time: 0.6348 data_time: 0.0209 memory: 13802 grad_norm: 0.2125 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.7368 recall@top3: 0.6053 prec@top3: 0.5263 recall@top5: 0.8772 prec@top5: 0.4211 loss_action_cls: 0.0721 loss: 0.0721 2022/08/08 20:40:22 - mmengine - INFO - Epoch(train) [2][480/2881] lr: 3.2500e-02 eta: 10:24:14 time: 0.6389 data_time: 0.0219 memory: 13802 grad_norm: 0.2081 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.9222 recall@top3: 0.8083 prec@top3: 0.7111 recall@top5: 0.9500 prec@top5: 0.5133 loss_action_cls: 0.0858 loss: 0.0858 2022/08/08 20:40:35 - mmengine - INFO - Epoch(train) [2][500/2881] lr: 3.2500e-02 eta: 10:23:46 time: 0.6466 data_time: 0.0234 memory: 13802 grad_norm: 0.1943 recall@thr=0.5: 0.6075 prec@thr=0.5: 0.8583 recall@top3: 0.7975 prec@top3: 0.8500 recall@top5: 0.9167 prec@top5: 0.6100 loss_action_cls: 0.0802 loss: 0.0802 2022/08/08 20:40:47 - mmengine - INFO - Epoch(train) [2][520/2881] lr: 3.2500e-02 eta: 10:23:14 time: 0.6337 data_time: 0.0226 memory: 13802 grad_norm: 0.1962 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6611 recall@top3: 0.7667 prec@top3: 0.6222 recall@top5: 0.9722 prec@top5: 0.4933 loss_action_cls: 0.0771 loss: 0.0771 2022/08/08 20:41:00 - mmengine - INFO - Epoch(train) [2][540/2881] lr: 3.2500e-02 eta: 10:22:36 time: 0.6135 data_time: 0.0214 memory: 13802 grad_norm: 0.1927 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.5377 recall@top3: 0.7319 prec@top3: 0.5217 recall@top5: 0.9203 prec@top5: 0.4261 loss_action_cls: 0.0700 loss: 0.0700 2022/08/08 20:41:12 - mmengine - INFO - Epoch(train) [2][560/2881] lr: 3.2500e-02 eta: 10:22:05 time: 0.6361 data_time: 0.0210 memory: 13802 grad_norm: 0.1892 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.6910 recall@top3: 0.7500 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0963 loss: 0.0963 2022/08/08 20:41:25 - mmengine - INFO - Epoch(train) [2][580/2881] lr: 3.2500e-02 eta: 10:21:34 time: 0.6311 data_time: 0.0230 memory: 13802 grad_norm: 0.1774 recall@thr=0.5: 0.7385 prec@thr=0.5: 0.9052 recall@top3: 0.8362 prec@top3: 0.7816 recall@top5: 0.9655 prec@top5: 0.5517 loss_action_cls: 0.0734 loss: 0.0734 2022/08/08 20:41:38 - mmengine - INFO - Epoch(train) [2][600/2881] lr: 3.2500e-02 eta: 10:21:05 time: 0.6425 data_time: 0.0245 memory: 13802 grad_norm: 0.1941 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.6471 recall@top3: 0.7157 prec@top3: 0.4902 recall@top5: 0.9118 prec@top5: 0.3882 loss_action_cls: 0.0746 loss: 0.0746 2022/08/08 20:41:51 - mmengine - INFO - Epoch(train) [2][620/2881] lr: 3.2500e-02 eta: 10:20:42 time: 0.6572 data_time: 0.0253 memory: 13802 grad_norm: 0.1899 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7937 recall@top3: 0.7857 prec@top3: 0.5397 recall@top5: 0.8413 prec@top5: 0.3619 loss_action_cls: 0.0823 loss: 0.0823 2022/08/08 20:42:03 - mmengine - INFO - Epoch(train) [2][640/2881] lr: 3.2500e-02 eta: 10:20:03 time: 0.6051 data_time: 0.0221 memory: 13802 grad_norm: 0.2104 recall@thr=0.5: 0.6327 prec@thr=0.5: 0.7932 recall@top3: 0.7222 prec@top3: 0.6173 recall@top5: 0.9259 prec@top5: 0.5037 loss_action_cls: 0.0769 loss: 0.0769 2022/08/08 20:42:16 - mmengine - INFO - Epoch(train) [2][660/2881] lr: 3.2500e-02 eta: 10:19:42 time: 0.6660 data_time: 0.0215 memory: 13802 grad_norm: 0.1876 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7647 recall@top3: 0.8235 prec@top3: 0.6275 recall@top5: 0.9314 prec@top5: 0.4353 loss_action_cls: 0.0734 loss: 0.0734 2022/08/08 20:42:29 - mmengine - INFO - Epoch(train) [2][680/2881] lr: 3.2500e-02 eta: 10:19:12 time: 0.6331 data_time: 0.0212 memory: 13802 grad_norm: 0.1805 recall@thr=0.5: 0.5268 prec@thr=0.5: 0.6558 recall@top3: 0.6283 prec@top3: 0.6522 recall@top5: 0.8819 prec@top5: 0.5478 loss_action_cls: 0.0852 loss: 0.0852 2022/08/08 20:42:42 - mmengine - INFO - Epoch(train) [2][700/2881] lr: 3.2500e-02 eta: 10:18:42 time: 0.6339 data_time: 0.0226 memory: 13802 grad_norm: 0.1828 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8684 recall@top3: 0.7807 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.4947 loss_action_cls: 0.0781 loss: 0.0781 2022/08/08 20:42:54 - mmengine - INFO - Epoch(train) [2][720/2881] lr: 3.2500e-02 eta: 10:18:11 time: 0.6282 data_time: 0.0210 memory: 13802 grad_norm: 0.1879 recall@thr=0.5: 0.5795 prec@thr=0.5: 0.6780 recall@top3: 0.7538 prec@top3: 0.6364 recall@top5: 0.8636 prec@top5: 0.4455 loss_action_cls: 0.0909 loss: 0.0909 2022/08/08 20:43:07 - mmengine - INFO - Epoch(train) [2][740/2881] lr: 3.2500e-02 eta: 10:17:42 time: 0.6351 data_time: 0.0259 memory: 13802 grad_norm: 0.1860 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.6204 recall@top3: 0.6944 prec@top3: 0.5741 recall@top5: 0.8611 prec@top5: 0.4000 loss_action_cls: 0.0870 loss: 0.0870 2022/08/08 20:43:19 - mmengine - INFO - Epoch(train) [2][760/2881] lr: 3.2500e-02 eta: 10:17:04 time: 0.6052 data_time: 0.0213 memory: 13802 grad_norm: 0.1865 recall@thr=0.5: 0.6108 prec@thr=0.5: 0.7417 recall@top3: 0.7192 prec@top3: 0.6167 recall@top5: 0.9092 prec@top5: 0.4900 loss_action_cls: 0.0850 loss: 0.0850 2022/08/08 20:43:32 - mmengine - INFO - Epoch(train) [2][780/2881] lr: 3.2500e-02 eta: 10:16:35 time: 0.6353 data_time: 0.0216 memory: 13802 grad_norm: 0.1925 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8413 recall@top3: 0.8095 prec@top3: 0.5873 recall@top5: 0.9286 prec@top5: 0.4190 loss_action_cls: 0.0798 loss: 0.0798 2022/08/08 20:43:45 - mmengine - INFO - Epoch(train) [2][800/2881] lr: 3.2500e-02 eta: 10:16:10 time: 0.6467 data_time: 0.0238 memory: 13802 grad_norm: 0.1862 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.5275 recall@top3: 0.6324 prec@top3: 0.5098 recall@top5: 0.8431 prec@top5: 0.4235 loss_action_cls: 0.0834 loss: 0.0834 2022/08/08 20:43:57 - mmengine - INFO - Epoch(train) [2][820/2881] lr: 3.2500e-02 eta: 10:15:42 time: 0.6347 data_time: 0.0218 memory: 13802 grad_norm: 0.1791 recall@thr=0.5: 0.4948 prec@thr=0.5: 0.6042 recall@top3: 0.5729 prec@top3: 0.4792 recall@top5: 0.8177 prec@top5: 0.4125 loss_action_cls: 0.0796 loss: 0.0796 2022/08/08 20:44:10 - mmengine - INFO - Epoch(train) [2][840/2881] lr: 3.2500e-02 eta: 10:15:15 time: 0.6383 data_time: 0.0221 memory: 13802 grad_norm: 0.1722 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.4458 recall@top3: 0.6333 prec@top3: 0.5000 recall@top5: 0.8833 prec@top5: 0.4100 loss_action_cls: 0.0856 loss: 0.0856 2022/08/08 20:44:22 - mmengine - INFO - Epoch(train) [2][860/2881] lr: 3.2500e-02 eta: 10:14:39 time: 0.6084 data_time: 0.0208 memory: 13802 grad_norm: 0.1844 recall@thr=0.5: 0.4621 prec@thr=0.5: 0.5432 recall@top3: 0.7045 prec@top3: 0.5303 recall@top5: 0.8864 prec@top5: 0.4091 loss_action_cls: 0.0775 loss: 0.0775 2022/08/08 20:44:35 - mmengine - INFO - Epoch(train) [2][880/2881] lr: 3.2500e-02 eta: 10:14:11 time: 0.6361 data_time: 0.0224 memory: 13802 grad_norm: 0.1735 recall@thr=0.5: 0.6455 prec@thr=0.5: 0.7992 recall@top3: 0.7439 prec@top3: 0.6212 recall@top5: 0.8455 prec@top5: 0.4455 loss_action_cls: 0.0749 loss: 0.0749 2022/08/08 20:44:48 - mmengine - INFO - Epoch(train) [2][900/2881] lr: 3.2500e-02 eta: 10:13:45 time: 0.6403 data_time: 0.0212 memory: 13802 grad_norm: 0.1973 recall@thr=0.5: 0.5929 prec@thr=0.5: 0.6905 recall@top3: 0.6583 prec@top3: 0.5952 recall@top5: 0.8060 prec@top5: 0.4571 loss_action_cls: 0.0694 loss: 0.0694 2022/08/08 20:45:01 - mmengine - INFO - Epoch(train) [2][920/2881] lr: 3.2500e-02 eta: 10:13:16 time: 0.6293 data_time: 0.0209 memory: 13802 grad_norm: 0.2142 recall@thr=0.5: 0.5757 prec@thr=0.5: 0.7500 recall@top3: 0.7382 prec@top3: 0.6111 recall@top5: 0.8931 prec@top5: 0.4583 loss_action_cls: 0.0773 loss: 0.0773 2022/08/08 20:45:13 - mmengine - INFO - Epoch(train) [2][940/2881] lr: 3.2500e-02 eta: 10:12:50 time: 0.6411 data_time: 0.0204 memory: 13802 grad_norm: 0.1793 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.6054 recall@top3: 0.5392 prec@top3: 0.5098 recall@top5: 0.8431 prec@top5: 0.4706 loss_action_cls: 0.0831 loss: 0.0831 2022/08/08 20:45:25 - mmengine - INFO - Epoch(train) [2][960/2881] lr: 3.2500e-02 eta: 10:12:15 time: 0.6064 data_time: 0.0227 memory: 13802 grad_norm: 0.1717 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.6458 recall@top3: 0.6806 prec@top3: 0.5556 recall@top5: 0.8542 prec@top5: 0.4417 loss_action_cls: 0.0808 loss: 0.0808 2022/08/08 20:45:38 - mmengine - INFO - Epoch(train) [2][980/2881] lr: 3.2500e-02 eta: 10:11:47 time: 0.6322 data_time: 0.0215 memory: 13802 grad_norm: 0.1764 recall@thr=0.5: 0.5125 prec@thr=0.5: 0.7292 recall@top3: 0.6917 prec@top3: 0.6250 recall@top5: 0.9250 prec@top5: 0.5250 loss_action_cls: 0.0731 loss: 0.0731 2022/08/08 20:45:51 - mmengine - INFO - Epoch(train) [2][1000/2881] lr: 3.2500e-02 eta: 10:11:24 time: 0.6486 data_time: 0.0211 memory: 13802 grad_norm: 0.1816 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.8167 recall@top3: 0.7500 prec@top3: 0.7500 recall@top5: 0.9250 prec@top5: 0.5700 loss_action_cls: 0.0740 loss: 0.0740 2022/08/08 20:46:03 - mmengine - INFO - Epoch(train) [2][1020/2881] lr: 3.2500e-02 eta: 10:10:49 time: 0.6069 data_time: 0.0220 memory: 13802 grad_norm: 0.1751 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.5362 recall@top3: 0.6993 prec@top3: 0.4783 recall@top5: 0.8116 prec@top5: 0.3391 loss_action_cls: 0.0738 loss: 0.0738 2022/08/08 20:46:16 - mmengine - INFO - Epoch(train) [2][1040/2881] lr: 3.2500e-02 eta: 10:10:27 time: 0.6501 data_time: 0.0266 memory: 13802 grad_norm: 0.1995 recall@thr=0.5: 0.5437 prec@thr=0.5: 0.7328 recall@top3: 0.7391 prec@top3: 0.7356 recall@top5: 0.9741 prec@top5: 0.5931 loss_action_cls: 0.0861 loss: 0.0861 2022/08/08 20:46:29 - mmengine - INFO - Epoch(train) [2][1060/2881] lr: 3.2500e-02 eta: 10:10:01 time: 0.6371 data_time: 0.0243 memory: 13802 grad_norm: 0.1803 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.8261 recall@top3: 0.7899 prec@top3: 0.7246 recall@top5: 0.9710 prec@top5: 0.5565 loss_action_cls: 0.0637 loss: 0.0637 2022/08/08 20:46:42 - mmengine - INFO - Epoch(train) [2][1080/2881] lr: 3.2500e-02 eta: 10:09:33 time: 0.6271 data_time: 0.0213 memory: 13802 grad_norm: 0.1686 recall@thr=0.5: 0.5600 prec@thr=0.5: 0.6200 recall@top3: 0.6400 prec@top3: 0.5067 recall@top5: 0.7000 prec@top5: 0.3440 loss_action_cls: 0.0746 loss: 0.0746 2022/08/08 20:46:54 - mmengine - INFO - Epoch(train) [2][1100/2881] lr: 3.2500e-02 eta: 10:09:06 time: 0.6316 data_time: 0.0234 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7083 recall@top3: 0.7188 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.4250 loss_action_cls: 0.0759 loss: 0.0759 2022/08/08 20:47:06 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 20:47:07 - mmengine - INFO - Epoch(train) [2][1120/2881] lr: 3.2500e-02 eta: 10:08:42 time: 0.6426 data_time: 0.0209 memory: 13802 grad_norm: 0.1750 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7375 recall@top3: 0.8667 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0858 loss: 0.0858 2022/08/08 20:47:20 - mmengine - INFO - Epoch(train) [2][1140/2881] lr: 3.2500e-02 eta: 10:08:15 time: 0.6310 data_time: 0.0216 memory: 13802 grad_norm: 0.1642 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.6961 recall@top3: 0.8529 prec@top3: 0.5294 recall@top5: 0.9118 prec@top5: 0.3412 loss_action_cls: 0.0661 loss: 0.0661 2022/08/08 20:47:32 - mmengine - INFO - Epoch(train) [2][1160/2881] lr: 3.2500e-02 eta: 10:07:41 time: 0.6070 data_time: 0.0235 memory: 13802 grad_norm: 0.1769 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7083 recall@top3: 0.7333 prec@top3: 0.5833 recall@top5: 0.9417 prec@top5: 0.4600 loss_action_cls: 0.0739 loss: 0.0739 2022/08/08 20:47:44 - mmengine - INFO - Epoch(train) [2][1180/2881] lr: 3.2500e-02 eta: 10:07:15 time: 0.6337 data_time: 0.0222 memory: 13802 grad_norm: 0.1685 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.5577 recall@top3: 0.6090 prec@top3: 0.3974 recall@top5: 0.9231 prec@top5: 0.3308 loss_action_cls: 0.0784 loss: 0.0784 2022/08/08 20:47:57 - mmengine - INFO - Epoch(train) [2][1200/2881] lr: 3.2500e-02 eta: 10:06:48 time: 0.6272 data_time: 0.0228 memory: 13802 grad_norm: 0.2000 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7632 recall@top3: 0.8465 prec@top3: 0.7018 recall@top5: 0.9737 prec@top5: 0.4842 loss_action_cls: 0.0773 loss: 0.0773 2022/08/08 20:48:10 - mmengine - INFO - Epoch(train) [2][1220/2881] lr: 3.2500e-02 eta: 10:06:27 time: 0.6512 data_time: 0.0225 memory: 13802 grad_norm: 0.1863 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7383 recall@top3: 0.8111 prec@top3: 0.7222 recall@top5: 0.9222 prec@top5: 0.5133 loss_action_cls: 0.0714 loss: 0.0714 2022/08/08 20:48:23 - mmengine - INFO - Epoch(train) [2][1240/2881] lr: 3.2500e-02 eta: 10:06:00 time: 0.6307 data_time: 0.0249 memory: 13802 grad_norm: 0.2004 recall@thr=0.5: 0.6151 prec@thr=0.5: 0.7381 recall@top3: 0.7103 prec@top3: 0.5714 recall@top5: 0.9563 prec@top5: 0.4762 loss_action_cls: 0.0725 loss: 0.0725 2022/08/08 20:48:36 - mmengine - INFO - Epoch(train) [2][1260/2881] lr: 3.2500e-02 eta: 10:05:41 time: 0.6573 data_time: 0.0225 memory: 13802 grad_norm: 0.1904 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5556 recall@top3: 0.6548 prec@top3: 0.4603 recall@top5: 0.8810 prec@top5: 0.3714 loss_action_cls: 0.0794 loss: 0.0794 2022/08/08 20:48:48 - mmengine - INFO - Epoch(train) [2][1280/2881] lr: 3.2500e-02 eta: 10:05:14 time: 0.6282 data_time: 0.0211 memory: 13802 grad_norm: 0.1906 recall@thr=0.5: 0.6817 prec@thr=0.5: 0.6917 recall@top3: 0.7600 prec@top3: 0.5000 recall@top5: 0.9250 prec@top5: 0.4000 loss_action_cls: 0.0793 loss: 0.0793 2022/08/08 20:49:15 - mmengine - INFO - Epoch(train) [2][1300/2881] lr: 3.2500e-02 eta: 10:07:51 time: 1.3466 data_time: 0.4006 memory: 13802 grad_norm: 0.1878 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.5600 recall@top3: 0.7467 prec@top3: 0.5333 recall@top5: 0.8933 prec@top5: 0.4080 loss_action_cls: 0.0847 loss: 0.0847 2022/08/08 20:49:45 - mmengine - INFO - Epoch(train) [2][1320/2881] lr: 3.2500e-02 eta: 10:10:56 time: 1.4630 data_time: 0.6617 memory: 13802 grad_norm: 0.1722 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7809 recall@top3: 0.9167 prec@top3: 0.8272 recall@top5: 0.9784 prec@top5: 0.5333 loss_action_cls: 0.0690 loss: 0.0690 2022/08/08 20:50:01 - mmengine - INFO - Epoch(train) [2][1340/2881] lr: 3.2500e-02 eta: 10:11:22 time: 0.8443 data_time: 0.0219 memory: 13802 grad_norm: 0.1623 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.7045 recall@top3: 0.7386 prec@top3: 0.5455 recall@top5: 0.7803 prec@top5: 0.3545 loss_action_cls: 0.0605 loss: 0.0605 2022/08/08 20:50:14 - mmengine - INFO - Epoch(train) [2][1360/2881] lr: 3.2500e-02 eta: 10:10:58 time: 0.6458 data_time: 0.0403 memory: 13802 grad_norm: 0.1851 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.7391 recall@top3: 0.7246 prec@top3: 0.5652 recall@top5: 0.9565 prec@top5: 0.4609 loss_action_cls: 0.0753 loss: 0.0753 2022/08/08 20:50:27 - mmengine - INFO - Epoch(train) [2][1380/2881] lr: 3.2500e-02 eta: 10:10:29 time: 0.6250 data_time: 0.0198 memory: 13802 grad_norm: 0.1690 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4722 recall@top3: 0.6736 prec@top3: 0.5000 recall@top5: 0.9236 prec@top5: 0.4167 loss_action_cls: 0.0798 loss: 0.0798 2022/08/08 20:50:39 - mmengine - INFO - Epoch(train) [2][1400/2881] lr: 3.2500e-02 eta: 10:09:55 time: 0.6047 data_time: 0.0238 memory: 13802 grad_norm: 0.1647 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7986 recall@top3: 0.8611 prec@top3: 0.6944 recall@top5: 0.9354 prec@top5: 0.4583 loss_action_cls: 0.0688 loss: 0.0688 2022/08/08 20:50:51 - mmengine - INFO - Epoch(train) [2][1420/2881] lr: 3.2500e-02 eta: 10:09:27 time: 0.6274 data_time: 0.0236 memory: 13802 grad_norm: 0.1840 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.5972 recall@top3: 0.6574 prec@top3: 0.4259 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0695 loss: 0.0695 2022/08/08 20:51:04 - mmengine - INFO - Epoch(train) [2][1440/2881] lr: 3.2500e-02 eta: 10:08:59 time: 0.6290 data_time: 0.0227 memory: 13802 grad_norm: 0.1721 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.5250 recall@top3: 0.6833 prec@top3: 0.4500 recall@top5: 0.9417 prec@top5: 0.3800 loss_action_cls: 0.0809 loss: 0.0809 2022/08/08 20:51:17 - mmengine - INFO - Epoch(train) [2][1460/2881] lr: 3.2500e-02 eta: 10:08:32 time: 0.6325 data_time: 0.0215 memory: 13802 grad_norm: 0.1867 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7750 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0836 loss: 0.0836 2022/08/08 20:51:29 - mmengine - INFO - Epoch(train) [2][1480/2881] lr: 3.2500e-02 eta: 10:08:05 time: 0.6318 data_time: 0.0223 memory: 13802 grad_norm: 0.1871 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.6984 recall@top3: 0.7262 prec@top3: 0.5079 recall@top5: 0.8889 prec@top5: 0.3714 loss_action_cls: 0.0868 loss: 0.0868 2022/08/08 20:51:42 - mmengine - INFO - Epoch(train) [2][1500/2881] lr: 3.2500e-02 eta: 10:07:38 time: 0.6297 data_time: 0.0204 memory: 13802 grad_norm: 0.1646 recall@thr=0.5: 0.5895 prec@thr=0.5: 0.7315 recall@top3: 0.7500 prec@top3: 0.6049 recall@top5: 0.8549 prec@top5: 0.4296 loss_action_cls: 0.0864 loss: 0.0864 2022/08/08 20:51:55 - mmengine - INFO - Epoch(train) [2][1520/2881] lr: 3.2500e-02 eta: 10:07:12 time: 0.6316 data_time: 0.0220 memory: 13802 grad_norm: 0.1608 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.6970 recall@top3: 0.7500 prec@top3: 0.7121 recall@top5: 0.8636 prec@top5: 0.5091 loss_action_cls: 0.0866 loss: 0.0866 2022/08/08 20:52:07 - mmengine - INFO - Epoch(train) [2][1540/2881] lr: 3.2500e-02 eta: 10:06:46 time: 0.6343 data_time: 0.0217 memory: 13802 grad_norm: 0.1702 recall@thr=0.5: 0.5675 prec@thr=0.5: 0.6587 recall@top3: 0.6746 prec@top3: 0.5873 recall@top5: 0.8016 prec@top5: 0.4286 loss_action_cls: 0.0746 loss: 0.0746 2022/08/08 20:52:20 - mmengine - INFO - Epoch(train) [2][1560/2881] lr: 3.2500e-02 eta: 10:06:21 time: 0.6378 data_time: 0.0235 memory: 13802 grad_norm: 0.1783 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7857 recall@top3: 0.7698 prec@top3: 0.5397 recall@top5: 0.9127 prec@top5: 0.4095 loss_action_cls: 0.0639 loss: 0.0639 2022/08/08 20:52:32 - mmengine - INFO - Epoch(train) [2][1580/2881] lr: 3.2500e-02 eta: 10:05:49 time: 0.6061 data_time: 0.0221 memory: 13802 grad_norm: 0.1909 recall@thr=0.5: 0.6322 prec@thr=0.5: 0.7816 recall@top3: 0.7454 prec@top3: 0.5977 recall@top5: 0.9770 prec@top5: 0.4966 loss_action_cls: 0.0766 loss: 0.0766 2022/08/08 20:52:45 - mmengine - INFO - Epoch(train) [2][1600/2881] lr: 3.2500e-02 eta: 10:05:23 time: 0.6337 data_time: 0.0263 memory: 13802 grad_norm: 0.1775 recall@thr=0.5: 0.6231 prec@thr=0.5: 0.6989 recall@top3: 0.7720 prec@top3: 0.7527 recall@top5: 0.9720 prec@top5: 0.6000 loss_action_cls: 0.0763 loss: 0.0763 2022/08/08 20:52:57 - mmengine - INFO - Epoch(train) [2][1620/2881] lr: 3.2500e-02 eta: 10:04:57 time: 0.6318 data_time: 0.0217 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.5703 prec@thr=0.5: 0.7536 recall@top3: 0.7043 prec@top3: 0.6957 recall@top5: 0.7790 prec@top5: 0.4783 loss_action_cls: 0.0693 loss: 0.0693 2022/08/08 20:53:10 - mmengine - INFO - Epoch(train) [2][1640/2881] lr: 3.2500e-02 eta: 10:04:30 time: 0.6252 data_time: 0.0213 memory: 13802 grad_norm: 0.1731 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7438 recall@top3: 0.8210 prec@top3: 0.6049 recall@top5: 0.9877 prec@top5: 0.4444 loss_action_cls: 0.0733 loss: 0.0733 2022/08/08 20:53:22 - mmengine - INFO - Epoch(train) [2][1660/2881] lr: 3.2500e-02 eta: 10:03:59 time: 0.6101 data_time: 0.0214 memory: 13802 grad_norm: 0.1798 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6912 recall@top3: 0.7451 prec@top3: 0.6078 recall@top5: 0.8235 prec@top5: 0.4118 loss_action_cls: 0.0770 loss: 0.0770 2022/08/08 20:53:35 - mmengine - INFO - Epoch(train) [2][1680/2881] lr: 3.2500e-02 eta: 10:03:36 time: 0.6407 data_time: 0.0269 memory: 13802 grad_norm: 0.1839 recall@thr=0.5: 0.4955 prec@thr=0.5: 0.7252 recall@top3: 0.7477 prec@top3: 0.6577 recall@top5: 0.9189 prec@top5: 0.5135 loss_action_cls: 0.0767 loss: 0.0767 2022/08/08 20:53:48 - mmengine - INFO - Epoch(train) [2][1700/2881] lr: 3.2500e-02 eta: 10:03:10 time: 0.6318 data_time: 0.0229 memory: 13802 grad_norm: 0.1730 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.5570 recall@top3: 0.7281 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.5053 loss_action_cls: 0.0705 loss: 0.0705 2022/08/08 20:54:00 - mmengine - INFO - Epoch(train) [2][1720/2881] lr: 3.2500e-02 eta: 10:02:45 time: 0.6319 data_time: 0.0227 memory: 13802 grad_norm: 0.1888 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.6667 recall@top3: 0.7222 prec@top3: 0.6825 recall@top5: 0.8214 prec@top5: 0.4571 loss_action_cls: 0.0783 loss: 0.0783 2022/08/08 20:54:12 - mmengine - INFO - Epoch(train) [2][1740/2881] lr: 3.2500e-02 eta: 10:02:14 time: 0.6051 data_time: 0.0227 memory: 13802 grad_norm: 0.1765 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7963 recall@top3: 0.9074 prec@top3: 0.6481 recall@top5: 0.9815 prec@top5: 0.4222 loss_action_cls: 0.0749 loss: 0.0749 2022/08/08 20:54:25 - mmengine - INFO - Epoch(train) [2][1760/2881] lr: 3.2500e-02 eta: 10:01:48 time: 0.6303 data_time: 0.0225 memory: 13802 grad_norm: 0.1662 recall@thr=0.5: 0.3712 prec@thr=0.5: 0.5000 recall@top3: 0.5644 prec@top3: 0.4848 recall@top5: 0.8144 prec@top5: 0.4273 loss_action_cls: 0.0857 loss: 0.0857 2022/08/08 20:54:38 - mmengine - INFO - Epoch(train) [2][1780/2881] lr: 3.2500e-02 eta: 10:01:23 time: 0.6314 data_time: 0.0219 memory: 13802 grad_norm: 0.1576 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.5556 recall@top3: 0.7639 prec@top3: 0.5741 recall@top5: 0.9213 prec@top5: 0.4167 loss_action_cls: 0.0804 loss: 0.0804 2022/08/08 20:54:50 - mmengine - INFO - Epoch(train) [2][1800/2881] lr: 3.2500e-02 eta: 10:00:58 time: 0.6287 data_time: 0.0217 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.5994 recall@top3: 0.6635 prec@top3: 0.5641 recall@top5: 0.7244 prec@top5: 0.3769 loss_action_cls: 0.0710 loss: 0.0710 2022/08/08 20:55:03 - mmengine - INFO - Epoch(train) [2][1820/2881] lr: 3.2500e-02 eta: 10:00:34 time: 0.6344 data_time: 0.0218 memory: 13802 grad_norm: 0.1720 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.5965 recall@top3: 0.7105 prec@top3: 0.5439 recall@top5: 0.8509 prec@top5: 0.4000 loss_action_cls: 0.0756 loss: 0.0756 2022/08/08 20:55:15 - mmengine - INFO - Epoch(train) [2][1840/2881] lr: 3.2500e-02 eta: 10:00:05 time: 0.6128 data_time: 0.0222 memory: 13802 grad_norm: 0.1780 recall@thr=0.5: 0.8833 prec@thr=0.5: 0.7625 recall@top3: 0.9000 prec@top3: 0.6667 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0638 loss: 0.0638 2022/08/08 20:55:28 - mmengine - INFO - Epoch(train) [2][1860/2881] lr: 3.2500e-02 eta: 9:59:44 time: 0.6469 data_time: 0.0220 memory: 13802 grad_norm: 0.1736 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6042 recall@top3: 0.7153 prec@top3: 0.5833 recall@top5: 0.8264 prec@top5: 0.4167 loss_action_cls: 0.0746 loss: 0.0746 2022/08/08 20:55:41 - mmengine - INFO - Epoch(train) [2][1880/2881] lr: 3.2500e-02 eta: 9:59:23 time: 0.6494 data_time: 0.0310 memory: 13802 grad_norm: 0.1727 recall@thr=0.5: 0.6559 prec@thr=0.5: 0.6452 recall@top3: 0.7742 prec@top3: 0.6129 recall@top5: 0.9220 prec@top5: 0.4323 loss_action_cls: 0.0845 loss: 0.0845 2022/08/08 20:55:53 - mmengine - INFO - Epoch(train) [2][1900/2881] lr: 3.2500e-02 eta: 9:58:54 time: 0.6117 data_time: 0.0296 memory: 13802 grad_norm: 0.1759 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.7719 recall@top3: 0.7982 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4737 loss_action_cls: 0.0666 loss: 0.0666 2022/08/08 20:56:06 - mmengine - INFO - Epoch(train) [2][1920/2881] lr: 3.2500e-02 eta: 9:58:33 time: 0.6453 data_time: 0.0217 memory: 13802 grad_norm: 0.1746 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.8860 recall@top3: 0.8070 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0740 loss: 0.0740 2022/08/08 20:56:19 - mmengine - INFO - Epoch(train) [2][1940/2881] lr: 3.2500e-02 eta: 9:58:09 time: 0.6307 data_time: 0.0213 memory: 13802 grad_norm: 0.1695 recall@thr=0.5: 0.6933 prec@thr=0.5: 0.8167 recall@top3: 0.8100 prec@top3: 0.7333 recall@top5: 0.8800 prec@top5: 0.4700 loss_action_cls: 0.0684 loss: 0.0684 2022/08/08 20:56:31 - mmengine - INFO - Epoch(train) [2][1960/2881] lr: 3.2500e-02 eta: 9:57:39 time: 0.6064 data_time: 0.0216 memory: 13802 grad_norm: 0.1703 recall@thr=0.5: 0.6261 prec@thr=0.5: 0.7372 recall@top3: 0.7457 prec@top3: 0.6667 recall@top5: 0.9209 prec@top5: 0.4974 loss_action_cls: 0.0766 loss: 0.0766 2022/08/08 20:56:43 - mmengine - INFO - Epoch(train) [2][1980/2881] lr: 3.2500e-02 eta: 9:57:11 time: 0.6113 data_time: 0.0240 memory: 13802 grad_norm: 0.1790 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6587 recall@top3: 0.7460 prec@top3: 0.5873 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0651 loss: 0.0651 2022/08/08 20:56:56 - mmengine - INFO - Epoch(train) [2][2000/2881] lr: 3.2500e-02 eta: 9:56:51 time: 0.6525 data_time: 0.0268 memory: 13802 grad_norm: 0.1712 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.6594 recall@top3: 0.7609 prec@top3: 0.6232 recall@top5: 0.9203 prec@top5: 0.4609 loss_action_cls: 0.0703 loss: 0.0703 2022/08/08 20:57:09 - mmengine - INFO - Epoch(train) [2][2020/2881] lr: 3.2500e-02 eta: 9:56:27 time: 0.6289 data_time: 0.0217 memory: 13802 grad_norm: 0.1753 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6417 recall@top3: 0.8708 prec@top3: 0.6500 recall@top5: 0.9625 prec@top5: 0.4400 loss_action_cls: 0.0671 loss: 0.0671 2022/08/08 20:57:21 - mmengine - INFO - Epoch(train) [2][2040/2881] lr: 3.2500e-02 eta: 9:56:03 time: 0.6310 data_time: 0.0234 memory: 13802 grad_norm: 0.1768 recall@thr=0.5: 0.8267 prec@thr=0.5: 0.7600 recall@top3: 0.8767 prec@top3: 0.6667 recall@top5: 0.9700 prec@top5: 0.4400 loss_action_cls: 0.0754 loss: 0.0754 2022/08/08 20:57:34 - mmengine - INFO - Epoch(train) [2][2060/2881] lr: 3.2500e-02 eta: 9:55:35 time: 0.6097 data_time: 0.0221 memory: 13802 grad_norm: 0.1701 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7428 recall@top3: 0.8623 prec@top3: 0.7101 recall@top5: 0.9710 prec@top5: 0.4870 loss_action_cls: 0.0931 loss: 0.0931 2022/08/08 20:57:46 - mmengine - INFO - Epoch(train) [2][2080/2881] lr: 3.2500e-02 eta: 9:55:12 time: 0.6336 data_time: 0.0205 memory: 13802 grad_norm: 0.1847 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.8413 recall@top3: 0.8333 prec@top3: 0.6984 recall@top5: 0.9206 prec@top5: 0.4667 loss_action_cls: 0.0705 loss: 0.0705 2022/08/08 20:57:59 - mmengine - INFO - Epoch(train) [2][2100/2881] lr: 3.2500e-02 eta: 9:54:50 time: 0.6372 data_time: 0.0230 memory: 13802 grad_norm: 0.1756 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7348 recall@top3: 0.7955 prec@top3: 0.5758 recall@top5: 0.9280 prec@top5: 0.3909 loss_action_cls: 0.0873 loss: 0.0873 2022/08/08 20:58:11 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 20:58:12 - mmengine - INFO - Epoch(train) [2][2120/2881] lr: 3.2500e-02 eta: 9:54:28 time: 0.6407 data_time: 0.0281 memory: 13802 grad_norm: 0.1776 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6148 recall@top3: 0.8009 prec@top3: 0.6296 recall@top5: 0.9028 prec@top5: 0.4444 loss_action_cls: 0.0598 loss: 0.0598 2022/08/08 20:58:24 - mmengine - INFO - Epoch(train) [2][2140/2881] lr: 3.2500e-02 eta: 9:54:00 time: 0.6090 data_time: 0.0245 memory: 13802 grad_norm: 0.1689 recall@thr=0.5: 0.6202 prec@thr=0.5: 0.6964 recall@top3: 0.6708 prec@top3: 0.7024 recall@top5: 0.8577 prec@top5: 0.5429 loss_action_cls: 0.0715 loss: 0.0715 2022/08/08 20:58:37 - mmengine - INFO - Epoch(train) [2][2160/2881] lr: 3.2500e-02 eta: 9:53:38 time: 0.6357 data_time: 0.0255 memory: 13802 grad_norm: 0.1808 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7381 recall@top3: 0.8016 prec@top3: 0.6508 recall@top5: 0.8571 prec@top5: 0.4190 loss_action_cls: 0.0709 loss: 0.0709 2022/08/08 20:58:49 - mmengine - INFO - Epoch(train) [2][2180/2881] lr: 3.2500e-02 eta: 9:53:16 time: 0.6387 data_time: 0.0212 memory: 13802 grad_norm: 0.1543 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.7620 recall@top3: 0.7552 prec@top3: 0.6667 recall@top5: 0.8906 prec@top5: 0.4937 loss_action_cls: 0.0788 loss: 0.0788 2022/08/08 20:59:02 - mmengine - INFO - Epoch(train) [2][2200/2881] lr: 3.2500e-02 eta: 9:52:53 time: 0.6311 data_time: 0.0212 memory: 13802 grad_norm: 0.1603 recall@thr=0.5: 0.5484 prec@thr=0.5: 0.6935 recall@top3: 0.7285 prec@top3: 0.6559 recall@top5: 0.9247 prec@top5: 0.4968 loss_action_cls: 0.0693 loss: 0.0693 2022/08/08 20:59:14 - mmengine - INFO - Epoch(train) [2][2220/2881] lr: 3.2500e-02 eta: 9:52:24 time: 0.6027 data_time: 0.0226 memory: 13802 grad_norm: 0.1596 recall@thr=0.5: 0.5437 prec@thr=0.5: 0.6230 recall@top3: 0.6548 prec@top3: 0.5714 recall@top5: 0.8095 prec@top5: 0.4286 loss_action_cls: 0.0783 loss: 0.0783 2022/08/08 20:59:27 - mmengine - INFO - Epoch(train) [2][2240/2881] lr: 3.2500e-02 eta: 9:52:03 time: 0.6374 data_time: 0.0218 memory: 13802 grad_norm: 0.1666 recall@thr=0.5: 0.6102 prec@thr=0.5: 0.7312 recall@top3: 0.7527 prec@top3: 0.7742 recall@top5: 0.9516 prec@top5: 0.5613 loss_action_cls: 0.0795 loss: 0.0795 2022/08/08 20:59:40 - mmengine - INFO - Epoch(train) [2][2260/2881] lr: 3.2500e-02 eta: 9:51:42 time: 0.6405 data_time: 0.0226 memory: 13802 grad_norm: 0.1787 recall@thr=0.5: 0.5115 prec@thr=0.5: 0.6609 recall@top3: 0.6609 prec@top3: 0.4713 recall@top5: 0.8563 prec@top5: 0.3724 loss_action_cls: 0.0726 loss: 0.0726 2022/08/08 20:59:52 - mmengine - INFO - Epoch(train) [2][2280/2881] lr: 3.2500e-02 eta: 9:51:15 time: 0.6080 data_time: 0.0207 memory: 13802 grad_norm: 0.1665 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.6146 recall@top3: 0.5938 prec@top3: 0.5833 recall@top5: 0.7500 prec@top5: 0.4500 loss_action_cls: 0.0755 loss: 0.0755 2022/08/08 21:00:04 - mmengine - INFO - Epoch(train) [2][2300/2881] lr: 3.2500e-02 eta: 9:50:51 time: 0.6259 data_time: 0.0212 memory: 13802 grad_norm: 0.1798 recall@thr=0.5: 0.5844 prec@thr=0.5: 0.7444 recall@top3: 0.6733 prec@top3: 0.6444 recall@top5: 0.8422 prec@top5: 0.4933 loss_action_cls: 0.0805 loss: 0.0805 2022/08/08 21:00:17 - mmengine - INFO - Epoch(train) [2][2320/2881] lr: 3.2500e-02 eta: 9:50:28 time: 0.6277 data_time: 0.0217 memory: 13802 grad_norm: 0.1726 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7738 recall@top3: 0.7857 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0682 loss: 0.0682 2022/08/08 21:00:30 - mmengine - INFO - Epoch(train) [2][2340/2881] lr: 3.2500e-02 eta: 9:50:07 time: 0.6405 data_time: 0.0220 memory: 13802 grad_norm: 0.1671 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.6184 recall@top3: 0.6009 prec@top3: 0.5000 recall@top5: 0.8377 prec@top5: 0.4158 loss_action_cls: 0.0697 loss: 0.0697 2022/08/08 21:00:42 - mmengine - INFO - Epoch(train) [2][2360/2881] lr: 3.2500e-02 eta: 9:49:39 time: 0.6046 data_time: 0.0223 memory: 13802 grad_norm: 0.1852 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.8233 recall@top3: 0.7733 prec@top3: 0.7600 recall@top5: 0.9067 prec@top5: 0.5360 loss_action_cls: 0.0927 loss: 0.0927 2022/08/08 21:00:54 - mmengine - INFO - Epoch(train) [2][2380/2881] lr: 3.2500e-02 eta: 9:49:17 time: 0.6326 data_time: 0.0212 memory: 13802 grad_norm: 0.1727 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8500 recall@top3: 0.8750 prec@top3: 0.6167 recall@top5: 0.9667 prec@top5: 0.4200 loss_action_cls: 0.0772 loss: 0.0772 2022/08/08 21:01:07 - mmengine - INFO - Epoch(train) [2][2400/2881] lr: 3.2500e-02 eta: 9:48:51 time: 0.6133 data_time: 0.0317 memory: 13802 grad_norm: 0.1775 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.6961 recall@top3: 0.8333 prec@top3: 0.5490 recall@top5: 0.9314 prec@top5: 0.3882 loss_action_cls: 0.0721 loss: 0.0721 2022/08/08 21:01:19 - mmengine - INFO - Epoch(train) [2][2420/2881] lr: 3.2500e-02 eta: 9:48:29 time: 0.6327 data_time: 0.0240 memory: 13802 grad_norm: 0.1736 recall@thr=0.5: 0.6198 prec@thr=0.5: 0.5599 recall@top3: 0.6823 prec@top3: 0.4583 recall@top5: 0.8776 prec@top5: 0.3625 loss_action_cls: 0.0694 loss: 0.0694 2022/08/08 21:01:32 - mmengine - INFO - Epoch(train) [2][2440/2881] lr: 3.2500e-02 eta: 9:48:07 time: 0.6273 data_time: 0.0214 memory: 13802 grad_norm: 0.1684 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7569 recall@top3: 0.7847 prec@top3: 0.5833 recall@top5: 0.8333 prec@top5: 0.3833 loss_action_cls: 0.0683 loss: 0.0683 2022/08/08 21:01:44 - mmengine - INFO - Epoch(train) [2][2460/2881] lr: 3.2500e-02 eta: 9:47:43 time: 0.6233 data_time: 0.0217 memory: 13802 grad_norm: 0.1582 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.7685 recall@top3: 0.7454 prec@top3: 0.4815 recall@top5: 0.9815 prec@top5: 0.3667 loss_action_cls: 0.0880 loss: 0.0880 2022/08/08 21:01:57 - mmengine - INFO - Epoch(train) [2][2480/2881] lr: 3.2500e-02 eta: 9:47:20 time: 0.6276 data_time: 0.0225 memory: 13802 grad_norm: 0.1632 recall@thr=0.5: 0.4431 prec@thr=0.5: 0.6618 recall@top3: 0.7137 prec@top3: 0.6078 recall@top5: 0.8618 prec@top5: 0.4471 loss_action_cls: 0.0696 loss: 0.0696 2022/08/08 21:02:10 - mmengine - INFO - Epoch(train) [2][2500/2881] lr: 3.2500e-02 eta: 9:46:59 time: 0.6317 data_time: 0.0253 memory: 13802 grad_norm: 0.1714 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.6933 recall@top3: 0.8133 prec@top3: 0.6267 recall@top5: 0.9867 prec@top5: 0.4800 loss_action_cls: 0.0863 loss: 0.0863 2022/08/08 21:02:22 - mmengine - INFO - Epoch(train) [2][2520/2881] lr: 3.2500e-02 eta: 9:46:37 time: 0.6345 data_time: 0.0256 memory: 13802 grad_norm: 0.1846 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8413 recall@top3: 0.7698 prec@top3: 0.6508 recall@top5: 0.9048 prec@top5: 0.4857 loss_action_cls: 0.0738 loss: 0.0738 2022/08/08 21:02:34 - mmengine - INFO - Epoch(train) [2][2540/2881] lr: 3.2500e-02 eta: 9:46:10 time: 0.6034 data_time: 0.0215 memory: 13802 grad_norm: 0.1847 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7431 recall@top3: 0.8507 prec@top3: 0.5417 recall@top5: 0.9757 prec@top5: 0.3667 loss_action_cls: 0.0597 loss: 0.0597 2022/08/08 21:02:47 - mmengine - INFO - Epoch(train) [2][2560/2881] lr: 3.2500e-02 eta: 9:45:48 time: 0.6282 data_time: 0.0197 memory: 13802 grad_norm: 0.1871 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.8431 recall@top3: 0.8824 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0675 loss: 0.0675 2022/08/08 21:03:00 - mmengine - INFO - Epoch(train) [2][2580/2881] lr: 3.2500e-02 eta: 9:45:28 time: 0.6394 data_time: 0.0217 memory: 13802 grad_norm: 0.1626 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7308 recall@top3: 0.7468 prec@top3: 0.5769 recall@top5: 0.8686 prec@top5: 0.4077 loss_action_cls: 0.0835 loss: 0.0835 2022/08/08 21:03:12 - mmengine - INFO - Epoch(train) [2][2600/2881] lr: 3.2500e-02 eta: 9:45:04 time: 0.6191 data_time: 0.0230 memory: 13802 grad_norm: 0.1730 recall@thr=0.5: 0.4283 prec@thr=0.5: 0.7464 recall@top3: 0.5630 prec@top3: 0.6812 recall@top5: 0.8145 prec@top5: 0.5913 loss_action_cls: 0.0800 loss: 0.0800 2022/08/08 21:03:25 - mmengine - INFO - Epoch(train) [2][2620/2881] lr: 3.2500e-02 eta: 9:44:43 time: 0.6292 data_time: 0.0223 memory: 13802 grad_norm: 0.1664 recall@thr=0.5: 0.4937 prec@thr=0.5: 0.6825 recall@top3: 0.7317 prec@top3: 0.6825 recall@top5: 0.8762 prec@top5: 0.5048 loss_action_cls: 0.0824 loss: 0.0824 2022/08/08 21:03:38 - mmengine - INFO - Epoch(train) [2][2640/2881] lr: 3.2500e-02 eta: 9:44:24 time: 0.6473 data_time: 0.0204 memory: 13802 grad_norm: 0.1599 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.7867 recall@top3: 0.8267 prec@top3: 0.7067 recall@top5: 0.9333 prec@top5: 0.4960 loss_action_cls: 0.0713 loss: 0.0713 2022/08/08 21:03:50 - mmengine - INFO - Epoch(train) [2][2660/2881] lr: 3.2500e-02 eta: 9:44:03 time: 0.6311 data_time: 0.0223 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7593 recall@top3: 0.8796 prec@top3: 0.7407 recall@top5: 0.9907 prec@top5: 0.5037 loss_action_cls: 0.0730 loss: 0.0730 2022/08/08 21:04:03 - mmengine - INFO - Epoch(train) [2][2680/2881] lr: 3.2500e-02 eta: 9:43:41 time: 0.6287 data_time: 0.0219 memory: 13802 grad_norm: 0.1634 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.8600 recall@top3: 0.7367 prec@top3: 0.6667 recall@top5: 0.9433 prec@top5: 0.5280 loss_action_cls: 0.0752 loss: 0.0752 2022/08/08 21:04:15 - mmengine - INFO - Epoch(train) [2][2700/2881] lr: 3.2500e-02 eta: 9:43:17 time: 0.6148 data_time: 0.0205 memory: 13802 grad_norm: 0.1622 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.8542 recall@top3: 0.7292 prec@top3: 0.7222 recall@top5: 0.9340 prec@top5: 0.5750 loss_action_cls: 0.0717 loss: 0.0717 2022/08/08 21:04:28 - mmengine - INFO - Epoch(train) [2][2720/2881] lr: 3.2500e-02 eta: 9:42:56 time: 0.6308 data_time: 0.0215 memory: 13802 grad_norm: 0.1832 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.6439 recall@top3: 0.7795 prec@top3: 0.7121 recall@top5: 0.8455 prec@top5: 0.4727 loss_action_cls: 0.0738 loss: 0.0738 2022/08/08 21:04:41 - mmengine - INFO - Epoch(train) [2][2740/2881] lr: 3.2500e-02 eta: 9:42:37 time: 0.6420 data_time: 0.0213 memory: 13802 grad_norm: 0.1760 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8333 recall@top3: 0.8567 prec@top3: 0.6267 recall@top5: 0.9300 prec@top5: 0.4080 loss_action_cls: 0.0734 loss: 0.0734 2022/08/08 21:04:53 - mmengine - INFO - Epoch(train) [2][2760/2881] lr: 3.2500e-02 eta: 9:42:11 time: 0.6074 data_time: 0.0211 memory: 13802 grad_norm: 0.1636 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.7343 recall@top3: 0.7639 prec@top3: 0.6944 recall@top5: 0.8704 prec@top5: 0.4833 loss_action_cls: 0.0795 loss: 0.0795 2022/08/08 21:05:05 - mmengine - INFO - Epoch(train) [2][2780/2881] lr: 3.2500e-02 eta: 9:41:50 time: 0.6275 data_time: 0.0211 memory: 13802 grad_norm: 0.1598 recall@thr=0.5: 0.4400 prec@thr=0.5: 0.6300 recall@top3: 0.5700 prec@top3: 0.5467 recall@top5: 0.7700 prec@top5: 0.4400 loss_action_cls: 0.0812 loss: 0.0812 2022/08/08 21:05:18 - mmengine - INFO - Epoch(train) [2][2800/2881] lr: 3.2500e-02 eta: 9:41:27 time: 0.6200 data_time: 0.0216 memory: 13802 grad_norm: 0.1750 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.6875 recall@top3: 0.8611 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0781 loss: 0.0781 2022/08/08 21:05:30 - mmengine - INFO - Epoch(train) [2][2820/2881] lr: 3.2500e-02 eta: 9:41:07 time: 0.6396 data_time: 0.0227 memory: 13802 grad_norm: 0.1685 recall@thr=0.5: 0.8178 prec@thr=0.5: 0.8611 recall@top3: 0.8844 prec@top3: 0.6556 recall@top5: 0.9867 prec@top5: 0.4600 loss_action_cls: 0.0790 loss: 0.0790 2022/08/08 21:05:43 - mmengine - INFO - Epoch(train) [2][2840/2881] lr: 3.2500e-02 eta: 9:40:45 time: 0.6221 data_time: 0.0226 memory: 13802 grad_norm: 0.1775 recall@thr=0.5: 0.8687 prec@thr=0.5: 0.8033 recall@top3: 0.8840 prec@top3: 0.7733 recall@top5: 0.9720 prec@top5: 0.5280 loss_action_cls: 0.0778 loss: 0.0778 2022/08/08 21:05:56 - mmengine - INFO - Epoch(train) [2][2860/2881] lr: 3.2500e-02 eta: 9:40:26 time: 0.6427 data_time: 0.0225 memory: 13802 grad_norm: 0.1672 recall@thr=0.5: 0.5636 prec@thr=0.5: 0.7121 recall@top3: 0.6833 prec@top3: 0.6515 recall@top5: 0.8947 prec@top5: 0.5364 loss_action_cls: 0.0854 loss: 0.0854 2022/08/08 21:06:08 - mmengine - INFO - Epoch(train) [2][2880/2881] lr: 3.2500e-02 eta: 9:39:59 time: 0.5954 data_time: 0.0196 memory: 13802 grad_norm: 0.1727 recall@thr=0.5: 0.4276 prec@thr=0.5: 0.7276 recall@top3: 0.6455 prec@top3: 0.6154 recall@top5: 0.9205 prec@top5: 0.5231 loss_action_cls: 0.0758 loss: 0.0758 2022/08/08 21:06:09 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 21:06:09 - mmengine - INFO - Epoch(train) [2][2881/2881] lr: 3.2500e-02 eta: 9:39:59 time: 0.6250 data_time: 0.0197 memory: 13802 grad_norm: 0.1728 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.7083 recall@top3: 0.7542 prec@top3: 0.6389 recall@top5: 0.8806 prec@top5: 0.4667 loss_action_cls: 0.0760 loss: 0.0760 2022/08/08 21:06:09 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/08 21:06:16 - mmengine - INFO - Epoch(val) [2][20/6282] eta: 0:07:45 time: 0.0743 data_time: 0.0281 memory: 721 2022/08/08 21:06:17 - mmengine - INFO - Epoch(val) [2][40/6282] eta: 0:05:13 time: 0.0501 data_time: 0.0039 memory: 721 2022/08/08 21:06:18 - mmengine - INFO - Epoch(val) [2][60/6282] eta: 0:05:08 time: 0.0495 data_time: 0.0035 memory: 721 2022/08/08 21:06:19 - mmengine - INFO - Epoch(val) [2][80/6282] eta: 0:05:25 time: 0.0525 data_time: 0.0042 memory: 721 2022/08/08 21:06:20 - mmengine - INFO - Epoch(val) [2][100/6282] eta: 0:05:10 time: 0.0502 data_time: 0.0040 memory: 721 2022/08/08 21:06:21 - mmengine - INFO - Epoch(val) [2][120/6282] eta: 0:06:24 time: 0.0624 data_time: 0.0049 memory: 806 2022/08/08 21:06:23 - mmengine - INFO - Epoch(val) [2][140/6282] eta: 0:06:59 time: 0.0683 data_time: 0.0052 memory: 806 2022/08/08 21:06:24 - mmengine - INFO - Epoch(val) [2][160/6282] eta: 0:06:44 time: 0.0661 data_time: 0.0056 memory: 806 2022/08/08 21:06:25 - mmengine - INFO - Epoch(val) [2][180/6282] eta: 0:07:18 time: 0.0718 data_time: 0.0048 memory: 806 2022/08/08 21:06:27 - mmengine - INFO - Epoch(val) [2][200/6282] eta: 0:07:07 time: 0.0703 data_time: 0.0064 memory: 806 2022/08/08 21:06:28 - mmengine - INFO - Epoch(val) [2][220/6282] eta: 0:05:57 time: 0.0589 data_time: 0.0048 memory: 736 2022/08/08 21:06:30 - mmengine - INFO - Epoch(val) [2][240/6282] eta: 0:08:27 time: 0.0839 data_time: 0.0065 memory: 736 2022/08/08 21:06:31 - mmengine - INFO - Epoch(val) [2][260/6282] eta: 0:05:49 time: 0.0581 data_time: 0.0067 memory: 736 2022/08/08 21:06:32 - mmengine - INFO - Epoch(val) [2][280/6282] eta: 0:05:44 time: 0.0574 data_time: 0.0040 memory: 736 2022/08/08 21:06:33 - mmengine - INFO - Epoch(val) [2][300/6282] eta: 0:06:27 time: 0.0647 data_time: 0.0078 memory: 806 2022/08/08 21:06:35 - mmengine - INFO - Epoch(val) [2][320/6282] eta: 0:08:29 time: 0.0855 data_time: 0.0216 memory: 806 2022/08/08 21:06:37 - mmengine - INFO - Epoch(val) [2][340/6282] eta: 0:08:16 time: 0.0835 data_time: 0.0199 memory: 806 2022/08/08 21:06:38 - mmengine - INFO - Epoch(val) [2][360/6282] eta: 0:08:36 time: 0.0872 data_time: 0.0239 memory: 806 2022/08/08 21:06:40 - mmengine - INFO - Epoch(val) [2][380/6282] eta: 0:07:17 time: 0.0742 data_time: 0.0130 memory: 806 2022/08/08 21:06:42 - mmengine - INFO - Epoch(val) [2][400/6282] eta: 0:09:17 time: 0.0947 data_time: 0.0103 memory: 806 2022/08/08 21:06:43 - mmengine - INFO - Epoch(val) [2][420/6282] eta: 0:05:24 time: 0.0553 data_time: 0.0047 memory: 741 2022/08/08 21:06:44 - mmengine - INFO - Epoch(val) [2][440/6282] eta: 0:05:30 time: 0.0565 data_time: 0.0060 memory: 741 2022/08/08 21:06:45 - mmengine - INFO - Epoch(val) [2][460/6282] eta: 0:05:36 time: 0.0578 data_time: 0.0046 memory: 741 2022/08/08 21:06:46 - mmengine - INFO - Epoch(val) [2][480/6282] eta: 0:05:25 time: 0.0562 data_time: 0.0057 memory: 741 2022/08/08 21:06:47 - mmengine - INFO - Epoch(val) [2][500/6282] eta: 0:05:18 time: 0.0551 data_time: 0.0047 memory: 741 2022/08/08 21:06:49 - mmengine - INFO - Epoch(val) [2][520/6282] eta: 0:05:40 time: 0.0591 data_time: 0.0042 memory: 736 2022/08/08 21:06:50 - mmengine - INFO - Epoch(val) [2][540/6282] eta: 0:05:04 time: 0.0531 data_time: 0.0046 memory: 736 2022/08/08 21:06:51 - mmengine - INFO - Epoch(val) [2][560/6282] eta: 0:05:00 time: 0.0525 data_time: 0.0041 memory: 736 2022/08/08 21:06:52 - mmengine - INFO - Epoch(val) [2][580/6282] eta: 0:05:17 time: 0.0556 data_time: 0.0043 memory: 736 2022/08/08 21:06:53 - mmengine - INFO - Epoch(val) [2][600/6282] eta: 0:05:02 time: 0.0532 data_time: 0.0049 memory: 736 2022/08/08 21:06:54 - mmengine - INFO - Epoch(val) [2][620/6282] eta: 0:04:44 time: 0.0502 data_time: 0.0037 memory: 736 2022/08/08 21:06:55 - mmengine - INFO - Epoch(val) [2][640/6282] eta: 0:04:40 time: 0.0497 data_time: 0.0039 memory: 733 2022/08/08 21:06:56 - mmengine - INFO - Epoch(val) [2][660/6282] eta: 0:04:33 time: 0.0487 data_time: 0.0040 memory: 733 2022/08/08 21:06:57 - mmengine - INFO - Epoch(val) [2][680/6282] eta: 0:04:31 time: 0.0484 data_time: 0.0031 memory: 733 2022/08/08 21:06:58 - mmengine - INFO - Epoch(val) [2][700/6282] eta: 0:04:38 time: 0.0499 data_time: 0.0037 memory: 733 2022/08/08 21:07:01 - mmengine - INFO - Epoch(val) [2][720/6282] eta: 0:12:45 time: 0.1376 data_time: 0.0590 memory: 806 2022/08/08 21:07:04 - mmengine - INFO - Epoch(val) [2][740/6282] eta: 0:18:17 time: 0.1980 data_time: 0.1404 memory: 806 2022/08/08 21:07:07 - mmengine - INFO - Epoch(val) [2][760/6282] eta: 0:13:24 time: 0.1457 data_time: 0.0874 memory: 806 2022/08/08 21:07:11 - mmengine - INFO - Epoch(val) [2][780/6282] eta: 0:16:22 time: 0.1785 data_time: 0.1208 memory: 806 2022/08/08 21:07:14 - mmengine - INFO - Epoch(val) [2][800/6282] eta: 0:12:10 time: 0.1333 data_time: 0.0726 memory: 806 2022/08/08 21:07:15 - mmengine - INFO - Epoch(val) [2][820/6282] eta: 0:08:15 time: 0.0908 data_time: 0.0373 memory: 806 2022/08/08 21:07:17 - mmengine - INFO - Epoch(val) [2][840/6282] eta: 0:05:01 time: 0.0554 data_time: 0.0051 memory: 736 2022/08/08 21:07:18 - mmengine - INFO - Epoch(val) [2][860/6282] eta: 0:05:24 time: 0.0598 data_time: 0.0057 memory: 736 2022/08/08 21:07:19 - mmengine - INFO - Epoch(val) [2][880/6282] eta: 0:05:24 time: 0.0600 data_time: 0.0107 memory: 736 2022/08/08 21:07:20 - mmengine - INFO - Epoch(val) [2][900/6282] eta: 0:05:18 time: 0.0592 data_time: 0.0070 memory: 736 2022/08/08 21:07:21 - mmengine - INFO - Epoch(val) [2][920/6282] eta: 0:04:56 time: 0.0554 data_time: 0.0047 memory: 736 2022/08/08 21:07:22 - mmengine - INFO - Epoch(val) [2][940/6282] eta: 0:04:52 time: 0.0547 data_time: 0.0051 memory: 721 2022/08/08 21:07:23 - mmengine - INFO - Epoch(val) [2][960/6282] eta: 0:04:52 time: 0.0550 data_time: 0.0055 memory: 721 2022/08/08 21:07:25 - mmengine - INFO - Epoch(val) [2][980/6282] eta: 0:04:46 time: 0.0540 data_time: 0.0043 memory: 721 2022/08/08 21:07:26 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:04:33 time: 0.0518 data_time: 0.0050 memory: 721 2022/08/08 21:07:27 - mmengine - INFO - Epoch(val) [2][1020/6282] eta: 0:04:38 time: 0.0530 data_time: 0.0055 memory: 736 2022/08/08 21:07:28 - mmengine - INFO - Epoch(val) [2][1040/6282] eta: 0:04:47 time: 0.0549 data_time: 0.0041 memory: 736 2022/08/08 21:07:29 - mmengine - INFO - Epoch(val) [2][1060/6282] eta: 0:05:06 time: 0.0587 data_time: 0.0050 memory: 736 2022/08/08 21:07:30 - mmengine - INFO - Epoch(val) [2][1080/6282] eta: 0:04:48 time: 0.0556 data_time: 0.0054 memory: 736 2022/08/08 21:07:31 - mmengine - INFO - Epoch(val) [2][1100/6282] eta: 0:04:57 time: 0.0574 data_time: 0.0058 memory: 736 2022/08/08 21:07:32 - mmengine - INFO - Epoch(val) [2][1120/6282] eta: 0:05:00 time: 0.0583 data_time: 0.0049 memory: 736 2022/08/08 21:07:33 - mmengine - INFO - Epoch(val) [2][1140/6282] eta: 0:04:26 time: 0.0518 data_time: 0.0043 memory: 736 2022/08/08 21:07:34 - mmengine - INFO - Epoch(val) [2][1160/6282] eta: 0:04:16 time: 0.0500 data_time: 0.0034 memory: 736 2022/08/08 21:07:35 - mmengine - INFO - Epoch(val) [2][1180/6282] eta: 0:04:19 time: 0.0508 data_time: 0.0039 memory: 736 2022/08/08 21:07:36 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:04:20 time: 0.0513 data_time: 0.0039 memory: 736 2022/08/08 21:07:37 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:04:21 time: 0.0516 data_time: 0.0046 memory: 736 2022/08/08 21:07:41 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:15:04 time: 0.1793 data_time: 0.1036 memory: 806 2022/08/08 21:07:44 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:12:11 time: 0.1457 data_time: 0.0875 memory: 806 2022/08/08 21:07:48 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:15:41 time: 0.1881 data_time: 0.1283 memory: 806 2022/08/08 21:07:51 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:11:44 time: 0.1414 data_time: 0.0801 memory: 806 2022/08/08 21:07:54 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:14:47 time: 0.1788 data_time: 0.1193 memory: 806 2022/08/08 21:07:57 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:12:18 time: 0.1493 data_time: 0.0916 memory: 806 2022/08/08 21:08:01 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:15:01 time: 0.1832 data_time: 0.1120 memory: 806 2022/08/08 21:08:03 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:10:23 time: 0.1271 data_time: 0.0687 memory: 806 2022/08/08 21:08:07 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:12:55 time: 0.1589 data_time: 0.1027 memory: 806 2022/08/08 21:08:09 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:11:11 time: 0.1382 data_time: 0.0794 memory: 806 2022/08/08 21:08:11 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:07:25 time: 0.0920 data_time: 0.0331 memory: 806 2022/08/08 21:08:13 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:05:23 time: 0.0671 data_time: 0.0045 memory: 806 2022/08/08 21:08:14 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:05:20 time: 0.0667 data_time: 0.0053 memory: 806 2022/08/08 21:08:15 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:05:20 time: 0.0670 data_time: 0.0054 memory: 806 2022/08/08 21:08:17 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:05:27 time: 0.0688 data_time: 0.0057 memory: 909 2022/08/08 21:08:19 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:08:07 time: 0.1027 data_time: 0.0069 memory: 909 2022/08/08 21:08:20 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:05:55 time: 0.0753 data_time: 0.0061 memory: 909 2022/08/08 21:08:22 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:05:51 time: 0.0747 data_time: 0.0051 memory: 909 2022/08/08 21:08:23 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:06:10 time: 0.0791 data_time: 0.0051 memory: 909 2022/08/08 21:08:25 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:06:00 time: 0.0773 data_time: 0.0051 memory: 909 2022/08/08 21:08:26 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:04:53 time: 0.0633 data_time: 0.0053 memory: 806 2022/08/08 21:08:27 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:04:40 time: 0.0606 data_time: 0.0039 memory: 806 2022/08/08 21:08:28 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:04:41 time: 0.0612 data_time: 0.0045 memory: 806 2022/08/08 21:08:30 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:04:31 time: 0.0592 data_time: 0.0036 memory: 806 2022/08/08 21:08:31 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:04:28 time: 0.0590 data_time: 0.0037 memory: 806 2022/08/08 21:08:32 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:04:33 time: 0.0602 data_time: 0.0040 memory: 806 2022/08/08 21:08:33 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:04:42 time: 0.0624 data_time: 0.0052 memory: 806 2022/08/08 21:08:35 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:05:00 time: 0.0668 data_time: 0.0051 memory: 806 2022/08/08 21:08:36 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:04:40 time: 0.0625 data_time: 0.0042 memory: 806 2022/08/08 21:08:37 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:04:36 time: 0.0620 data_time: 0.0042 memory: 806 2022/08/08 21:08:39 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:07:30 time: 0.1013 data_time: 0.0180 memory: 806 2022/08/08 21:08:42 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:12:01 time: 0.1632 data_time: 0.1057 memory: 806 2022/08/08 21:08:45 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:10:27 time: 0.1425 data_time: 0.0848 memory: 806 2022/08/08 21:08:49 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:13:43 time: 0.1880 data_time: 0.1296 memory: 806 2022/08/08 21:08:51 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:08:30 time: 0.1170 data_time: 0.0568 memory: 806 2022/08/08 21:08:54 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:08:37 time: 0.1192 data_time: 0.0607 memory: 806 2022/08/08 21:08:55 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:04:03 time: 0.0564 data_time: 0.0051 memory: 741 2022/08/08 21:08:56 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:04:06 time: 0.0574 data_time: 0.0049 memory: 741 2022/08/08 21:08:57 - mmengine - INFO - Epoch(val) [2][2000/6282] eta: 0:04:01 time: 0.0565 data_time: 0.0052 memory: 741 2022/08/08 21:08:58 - mmengine - INFO - Epoch(val) [2][2020/6282] eta: 0:04:30 time: 0.0635 data_time: 0.0060 memory: 741 2022/08/08 21:09:00 - mmengine - INFO - Epoch(val) [2][2040/6282] eta: 0:04:00 time: 0.0567 data_time: 0.0069 memory: 741 2022/08/08 21:09:01 - mmengine - INFO - Epoch(val) [2][2060/6282] eta: 0:03:52 time: 0.0551 data_time: 0.0054 memory: 741 2022/08/08 21:09:02 - mmengine - INFO - Epoch(val) [2][2080/6282] eta: 0:04:07 time: 0.0588 data_time: 0.0065 memory: 741 2022/08/08 21:09:03 - mmengine - INFO - Epoch(val) [2][2100/6282] eta: 0:03:59 time: 0.0573 data_time: 0.0057 memory: 741 2022/08/08 21:09:04 - mmengine - INFO - Epoch(val) [2][2120/6282] eta: 0:03:45 time: 0.0542 data_time: 0.0039 memory: 741 2022/08/08 21:09:05 - mmengine - INFO - Epoch(val) [2][2140/6282] eta: 0:03:56 time: 0.0571 data_time: 0.0059 memory: 741 2022/08/08 21:09:06 - mmengine - INFO - Epoch(val) [2][2160/6282] eta: 0:03:45 time: 0.0548 data_time: 0.0050 memory: 736 2022/08/08 21:09:07 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:03:50 time: 0.0561 data_time: 0.0047 memory: 736 2022/08/08 21:09:09 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:04:04 time: 0.0599 data_time: 0.0047 memory: 736 2022/08/08 21:09:10 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:03:44 time: 0.0554 data_time: 0.0049 memory: 736 2022/08/08 21:09:11 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:03:50 time: 0.0571 data_time: 0.0056 memory: 736 2022/08/08 21:09:12 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:03:43 time: 0.0556 data_time: 0.0048 memory: 741 2022/08/08 21:09:13 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:03:46 time: 0.0566 data_time: 0.0044 memory: 741 2022/08/08 21:09:14 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:03:40 time: 0.0553 data_time: 0.0046 memory: 741 2022/08/08 21:09:15 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:03:38 time: 0.0551 data_time: 0.0047 memory: 741 2022/08/08 21:09:16 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:03:40 time: 0.0559 data_time: 0.0046 memory: 741 2022/08/08 21:09:18 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:03:49 time: 0.0584 data_time: 0.0057 memory: 736 2022/08/08 21:09:19 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:05:42 time: 0.0879 data_time: 0.0056 memory: 736 2022/08/08 21:09:21 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:04:03 time: 0.0627 data_time: 0.0074 memory: 736 2022/08/08 21:09:22 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:03:55 time: 0.0610 data_time: 0.0077 memory: 736 2022/08/08 21:09:23 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:03:48 time: 0.0594 data_time: 0.0065 memory: 736 2022/08/08 21:09:25 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:05:13 time: 0.0821 data_time: 0.0240 memory: 806 2022/08/08 21:09:26 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:05:27 time: 0.0863 data_time: 0.0267 memory: 806 2022/08/08 21:09:28 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:05:40 time: 0.0900 data_time: 0.0298 memory: 806 2022/08/08 21:09:30 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:05:47 time: 0.0923 data_time: 0.0345 memory: 806 2022/08/08 21:09:32 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:07:21 time: 0.1180 data_time: 0.0617 memory: 806 2022/08/08 21:09:35 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:09:08 time: 0.1475 data_time: 0.0897 memory: 806 2022/08/08 21:09:39 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:11:06 time: 0.1799 data_time: 0.1224 memory: 806 2022/08/08 21:09:42 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:09:52 time: 0.1608 data_time: 0.1023 memory: 806 2022/08/08 21:09:45 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:09:27 time: 0.1549 data_time: 0.0948 memory: 806 2022/08/08 21:09:48 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:09:24 time: 0.1550 data_time: 0.0920 memory: 806 2022/08/08 21:09:50 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:04:40 time: 0.0775 data_time: 0.0058 memory: 899 2022/08/08 21:09:52 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:04:35 time: 0.0764 data_time: 0.0058 memory: 899 2022/08/08 21:09:53 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:04:33 time: 0.0762 data_time: 0.0057 memory: 899 2022/08/08 21:09:55 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:04:51 time: 0.0818 data_time: 0.0063 memory: 899 2022/08/08 21:09:56 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:04:41 time: 0.0795 data_time: 0.0063 memory: 899 2022/08/08 21:09:57 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:03:26 time: 0.0588 data_time: 0.0056 memory: 741 2022/08/08 21:09:59 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:04:56 time: 0.0845 data_time: 0.0061 memory: 741 2022/08/08 21:10:00 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:03:39 time: 0.0630 data_time: 0.0069 memory: 741 2022/08/08 21:10:01 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:03:07 time: 0.0542 data_time: 0.0051 memory: 741 2022/08/08 21:10:03 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:03:14 time: 0.0566 data_time: 0.0050 memory: 741 2022/08/08 21:10:04 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:04:14 time: 0.0743 data_time: 0.0180 memory: 806 2022/08/08 21:10:05 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:03:45 time: 0.0662 data_time: 0.0087 memory: 806 2022/08/08 21:10:07 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:03:37 time: 0.0644 data_time: 0.0079 memory: 806 2022/08/08 21:10:08 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:03:05 time: 0.0552 data_time: 0.0036 memory: 806 2022/08/08 21:10:09 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:03:12 time: 0.0577 data_time: 0.0053 memory: 769 2022/08/08 21:10:11 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:04:17 time: 0.0776 data_time: 0.0042 memory: 769 2022/08/08 21:10:12 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:02:59 time: 0.0543 data_time: 0.0038 memory: 769 2022/08/08 21:10:13 - mmengine - INFO - Epoch(val) [2][3000/6282] eta: 0:02:55 time: 0.0535 data_time: 0.0035 memory: 769 2022/08/08 21:10:14 - mmengine - INFO - Epoch(val) [2][3020/6282] eta: 0:03:09 time: 0.0582 data_time: 0.0040 memory: 806 2022/08/08 21:10:15 - mmengine - INFO - Epoch(val) [2][3040/6282] eta: 0:03:13 time: 0.0598 data_time: 0.0044 memory: 806 2022/08/08 21:10:16 - mmengine - INFO - Epoch(val) [2][3060/6282] eta: 0:03:29 time: 0.0651 data_time: 0.0050 memory: 806 2022/08/08 21:10:18 - mmengine - INFO - Epoch(val) [2][3080/6282] eta: 0:03:39 time: 0.0684 data_time: 0.0068 memory: 806 2022/08/08 21:10:19 - mmengine - INFO - Epoch(val) [2][3100/6282] eta: 0:03:15 time: 0.0615 data_time: 0.0056 memory: 806 2022/08/08 21:10:20 - mmengine - INFO - Epoch(val) [2][3120/6282] eta: 0:03:07 time: 0.0593 data_time: 0.0063 memory: 741 2022/08/08 21:10:21 - mmengine - INFO - Epoch(val) [2][3140/6282] eta: 0:03:11 time: 0.0611 data_time: 0.0064 memory: 741 2022/08/08 21:10:23 - mmengine - INFO - Epoch(val) [2][3160/6282] eta: 0:04:24 time: 0.0848 data_time: 0.0067 memory: 741 2022/08/08 21:10:24 - mmengine - INFO - Epoch(val) [2][3180/6282] eta: 0:03:09 time: 0.0610 data_time: 0.0067 memory: 741 2022/08/08 21:10:26 - mmengine - INFO - Epoch(val) [2][3200/6282] eta: 0:04:14 time: 0.0827 data_time: 0.0238 memory: 806 2022/08/08 21:10:28 - mmengine - INFO - Epoch(val) [2][3220/6282] eta: 0:04:23 time: 0.0860 data_time: 0.0251 memory: 806 2022/08/08 21:10:29 - mmengine - INFO - Epoch(val) [2][3240/6282] eta: 0:03:39 time: 0.0720 data_time: 0.0104 memory: 806 2022/08/08 21:10:30 - mmengine - INFO - Epoch(val) [2][3260/6282] eta: 0:03:09 time: 0.0628 data_time: 0.0050 memory: 806 2022/08/08 21:10:32 - mmengine - INFO - Epoch(val) [2][3280/6282] eta: 0:03:20 time: 0.0668 data_time: 0.0070 memory: 806 2022/08/08 21:10:33 - mmengine - INFO - Epoch(val) [2][3300/6282] eta: 0:03:07 time: 0.0628 data_time: 0.0042 memory: 806 2022/08/08 21:10:34 - mmengine - INFO - Epoch(val) [2][3320/6282] eta: 0:03:06 time: 0.0629 data_time: 0.0046 memory: 806 2022/08/08 21:10:36 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:03:08 time: 0.0642 data_time: 0.0049 memory: 806 2022/08/08 21:10:37 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:03:10 time: 0.0652 data_time: 0.0051 memory: 806 2022/08/08 21:10:38 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:02:54 time: 0.0600 data_time: 0.0049 memory: 806 2022/08/08 21:10:40 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:03:54 time: 0.0812 data_time: 0.0055 memory: 736 2022/08/08 21:10:41 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:02:25 time: 0.0508 data_time: 0.0034 memory: 736 2022/08/08 21:10:42 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:02:24 time: 0.0510 data_time: 0.0051 memory: 736 2022/08/08 21:10:43 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:02:25 time: 0.0516 data_time: 0.0050 memory: 736 2022/08/08 21:10:44 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:02:24 time: 0.0514 data_time: 0.0039 memory: 736 2022/08/08 21:10:45 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:02:25 time: 0.0522 data_time: 0.0039 memory: 736 2022/08/08 21:10:46 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:02:19 time: 0.0507 data_time: 0.0038 memory: 736 2022/08/08 21:10:47 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:02:21 time: 0.0515 data_time: 0.0040 memory: 736 2022/08/08 21:10:48 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:02:24 time: 0.0532 data_time: 0.0052 memory: 736 2022/08/08 21:10:49 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:02:31 time: 0.0560 data_time: 0.0062 memory: 786 2022/08/08 21:10:50 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:02:45 time: 0.0617 data_time: 0.0049 memory: 786 2022/08/08 21:10:52 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:02:57 time: 0.0668 data_time: 0.0077 memory: 786 2022/08/08 21:10:53 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:02:35 time: 0.0590 data_time: 0.0041 memory: 786 2022/08/08 21:10:54 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:02:41 time: 0.0614 data_time: 0.0069 memory: 786 2022/08/08 21:10:55 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:02:51 time: 0.0660 data_time: 0.0059 memory: 806 2022/08/08 21:10:57 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:03:57 time: 0.0919 data_time: 0.0063 memory: 806 2022/08/08 21:10:59 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:04:01 time: 0.0944 data_time: 0.0326 memory: 806 2022/08/08 21:11:01 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:03:47 time: 0.0895 data_time: 0.0262 memory: 806 2022/08/08 21:11:03 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:03:43 time: 0.0885 data_time: 0.0273 memory: 806 2022/08/08 21:11:04 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:03:40 time: 0.0882 data_time: 0.0247 memory: 806 2022/08/08 21:11:06 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:03:58 time: 0.0962 data_time: 0.0330 memory: 806 2022/08/08 21:11:08 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:03:46 time: 0.0919 data_time: 0.0271 memory: 806 2022/08/08 21:11:10 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:03:53 time: 0.0958 data_time: 0.0073 memory: 806 2022/08/08 21:11:12 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:03:25 time: 0.0847 data_time: 0.0195 memory: 806 2022/08/08 21:11:14 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:03:31 time: 0.0880 data_time: 0.0268 memory: 806 2022/08/08 21:11:15 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:03:05 time: 0.0781 data_time: 0.0171 memory: 806 2022/08/08 21:11:17 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:03:00 time: 0.0763 data_time: 0.0144 memory: 806 2022/08/08 21:11:18 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:02:55 time: 0.0749 data_time: 0.0136 memory: 806 2022/08/08 21:11:20 - mmengine - INFO - Epoch(val) [2][3960/6282] eta: 0:02:39 time: 0.0688 data_time: 0.0068 memory: 806 2022/08/08 21:11:21 - mmengine - INFO - Epoch(val) [2][3980/6282] eta: 0:02:23 time: 0.0623 data_time: 0.0046 memory: 806 2022/08/08 21:11:22 - mmengine - INFO - Epoch(val) [2][4000/6282] eta: 0:02:13 time: 0.0583 data_time: 0.0036 memory: 806 2022/08/08 21:11:23 - mmengine - INFO - Epoch(val) [2][4020/6282] eta: 0:02:16 time: 0.0605 data_time: 0.0036 memory: 806 2022/08/08 21:11:24 - mmengine - INFO - Epoch(val) [2][4040/6282] eta: 0:02:16 time: 0.0607 data_time: 0.0036 memory: 899 2022/08/08 21:11:26 - mmengine - INFO - Epoch(val) [2][4060/6282] eta: 0:03:20 time: 0.0903 data_time: 0.0040 memory: 899 2022/08/08 21:11:28 - mmengine - INFO - Epoch(val) [2][4080/6282] eta: 0:02:32 time: 0.0691 data_time: 0.0041 memory: 899 2022/08/08 21:11:29 - mmengine - INFO - Epoch(val) [2][4100/6282] eta: 0:02:47 time: 0.0765 data_time: 0.0050 memory: 899 2022/08/08 21:11:31 - mmengine - INFO - Epoch(val) [2][4120/6282] eta: 0:02:56 time: 0.0815 data_time: 0.0065 memory: 899 2022/08/08 21:11:32 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:02:37 time: 0.0736 data_time: 0.0056 memory: 899 2022/08/08 21:11:33 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:01:56 time: 0.0551 data_time: 0.0069 memory: 736 2022/08/08 21:11:34 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:01:56 time: 0.0556 data_time: 0.0043 memory: 736 2022/08/08 21:11:36 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:01:52 time: 0.0541 data_time: 0.0041 memory: 736 2022/08/08 21:11:37 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:01:53 time: 0.0550 data_time: 0.0056 memory: 736 2022/08/08 21:11:38 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:02:38 time: 0.0779 data_time: 0.0047 memory: 736 2022/08/08 21:11:39 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:01:52 time: 0.0557 data_time: 0.0062 memory: 735 2022/08/08 21:11:40 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:01:43 time: 0.0519 data_time: 0.0043 memory: 735 2022/08/08 21:11:41 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:01:39 time: 0.0502 data_time: 0.0035 memory: 735 2022/08/08 21:11:42 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:01:38 time: 0.0504 data_time: 0.0041 memory: 735 2022/08/08 21:11:43 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:01:34 time: 0.0487 data_time: 0.0032 memory: 735 2022/08/08 21:11:45 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:01:52 time: 0.0586 data_time: 0.0046 memory: 806 2022/08/08 21:11:46 - mmengine - INFO - Epoch(val) [2][4380/6282] eta: 0:01:55 time: 0.0605 data_time: 0.0042 memory: 806 2022/08/08 21:11:47 - mmengine - INFO - Epoch(val) [2][4400/6282] eta: 0:01:59 time: 0.0637 data_time: 0.0055 memory: 806 2022/08/08 21:11:48 - 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mmengine - INFO - Epoch(val) [2][4600/6282] eta: 0:01:29 time: 0.0534 data_time: 0.0040 memory: 742 2022/08/08 21:12:01 - mmengine - INFO - Epoch(val) [2][4620/6282] eta: 0:01:27 time: 0.0529 data_time: 0.0044 memory: 742 2022/08/08 21:12:02 - mmengine - INFO - Epoch(val) [2][4640/6282] eta: 0:02:25 time: 0.0887 data_time: 0.0047 memory: 814 2022/08/08 21:12:04 - mmengine - INFO - Epoch(val) [2][4660/6282] eta: 0:01:40 time: 0.0618 data_time: 0.0049 memory: 814 2022/08/08 21:12:05 - mmengine - INFO - Epoch(val) [2][4680/6282] eta: 0:01:39 time: 0.0623 data_time: 0.0036 memory: 814 2022/08/08 21:12:06 - mmengine - INFO - Epoch(val) [2][4700/6282] eta: 0:01:39 time: 0.0628 data_time: 0.0046 memory: 814 2022/08/08 21:12:07 - mmengine - INFO - Epoch(val) [2][4720/6282] eta: 0:01:33 time: 0.0598 data_time: 0.0038 memory: 814 2022/08/08 21:12:09 - mmengine - INFO - Epoch(val) [2][4740/6282] eta: 0:01:31 time: 0.0595 data_time: 0.0046 memory: 766 2022/08/08 21:12:10 - mmengine - INFO - Epoch(val) [2][4760/6282] eta: 0:01:27 time: 0.0575 data_time: 0.0054 memory: 766 2022/08/08 21:12:11 - mmengine - INFO - Epoch(val) [2][4780/6282] eta: 0:01:26 time: 0.0574 data_time: 0.0043 memory: 766 2022/08/08 21:12:12 - mmengine - INFO - Epoch(val) [2][4800/6282] eta: 0:01:26 time: 0.0583 data_time: 0.0052 memory: 766 2022/08/08 21:12:13 - mmengine - INFO - Epoch(val) [2][4820/6282] eta: 0:01:29 time: 0.0614 data_time: 0.0054 memory: 806 2022/08/08 21:12:15 - mmengine - INFO - Epoch(val) [2][4840/6282] eta: 0:01:32 time: 0.0642 data_time: 0.0049 memory: 806 2022/08/08 21:12:16 - mmengine - INFO - Epoch(val) [2][4860/6282] eta: 0:01:30 time: 0.0635 data_time: 0.0051 memory: 806 2022/08/08 21:12:17 - mmengine - INFO - Epoch(val) [2][4880/6282] eta: 0:01:26 time: 0.0620 data_time: 0.0054 memory: 806 2022/08/08 21:12:18 - mmengine - INFO - Epoch(val) [2][4900/6282] eta: 0:01:28 time: 0.0637 data_time: 0.0046 memory: 806 2022/08/08 21:12:20 - mmengine - INFO - Epoch(val) [2][4920/6282] eta: 0:01:56 time: 0.0857 data_time: 0.0042 memory: 809 2022/08/08 21:12:21 - mmengine - INFO - Epoch(val) [2][4940/6282] eta: 0:01:26 time: 0.0642 data_time: 0.0054 memory: 809 2022/08/08 21:12:23 - mmengine - INFO - Epoch(val) [2][4960/6282] eta: 0:01:25 time: 0.0648 data_time: 0.0056 memory: 809 2022/08/08 21:12:24 - mmengine - INFO - Epoch(val) [2][4980/6282] eta: 0:01:32 time: 0.0710 data_time: 0.0048 memory: 809 2022/08/08 21:12:25 - mmengine - INFO - Epoch(val) [2][5000/6282] eta: 0:01:28 time: 0.0693 data_time: 0.0053 memory: 809 2022/08/08 21:12:27 - mmengine - INFO - Epoch(val) [2][5020/6282] eta: 0:01:19 time: 0.0632 data_time: 0.0057 memory: 809 2022/08/08 21:12:28 - mmengine - INFO - Epoch(val) [2][5040/6282] eta: 0:01:05 time: 0.0531 data_time: 0.0050 memory: 741 2022/08/08 21:12:29 - mmengine - INFO - Epoch(val) [2][5060/6282] eta: 0:01:10 time: 0.0578 data_time: 0.0056 memory: 741 2022/08/08 21:12:30 - mmengine - INFO - Epoch(val) [2][5080/6282] eta: 0:01:08 time: 0.0566 data_time: 0.0057 memory: 741 2022/08/08 21:12:31 - mmengine - INFO - Epoch(val) [2][5100/6282] eta: 0:01:03 time: 0.0540 data_time: 0.0042 memory: 741 2022/08/08 21:12:32 - mmengine - INFO - Epoch(val) [2][5120/6282] eta: 0:01:07 time: 0.0584 data_time: 0.0052 memory: 741 2022/08/08 21:12:33 - mmengine - INFO - Epoch(val) [2][5140/6282] eta: 0:01:05 time: 0.0569 data_time: 0.0062 memory: 736 2022/08/08 21:12:35 - mmengine - INFO - Epoch(val) [2][5160/6282] eta: 0:01:04 time: 0.0572 data_time: 0.0053 memory: 736 2022/08/08 21:12:36 - mmengine - INFO - Epoch(val) [2][5180/6282] eta: 0:01:01 time: 0.0561 data_time: 0.0048 memory: 736 2022/08/08 21:12:37 - mmengine - INFO - Epoch(val) [2][5200/6282] eta: 0:01:01 time: 0.0569 data_time: 0.0058 memory: 736 2022/08/08 21:12:38 - mmengine - INFO - Epoch(val) [2][5220/6282] eta: 0:00:59 time: 0.0564 data_time: 0.0050 memory: 736 2022/08/08 21:12:40 - mmengine - INFO - Epoch(val) [2][5240/6282] eta: 0:01:24 time: 0.0811 data_time: 0.0056 memory: 735 2022/08/08 21:12:41 - mmengine - INFO - Epoch(val) [2][5260/6282] eta: 0:00:57 time: 0.0560 data_time: 0.0043 memory: 735 2022/08/08 21:12:42 - mmengine - INFO - Epoch(val) [2][5280/6282] eta: 0:00:58 time: 0.0587 data_time: 0.0066 memory: 735 2022/08/08 21:12:43 - mmengine - INFO - Epoch(val) [2][5300/6282] eta: 0:00:55 time: 0.0566 data_time: 0.0053 memory: 735 2022/08/08 21:12:44 - mmengine - INFO - Epoch(val) [2][5320/6282] eta: 0:00:53 time: 0.0558 data_time: 0.0047 memory: 736 2022/08/08 21:12:45 - mmengine - INFO - Epoch(val) [2][5340/6282] eta: 0:00:51 time: 0.0544 data_time: 0.0055 memory: 736 2022/08/08 21:12:46 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:00:52 time: 0.0568 data_time: 0.0048 memory: 736 2022/08/08 21:12:48 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:00:52 time: 0.0581 data_time: 0.0045 memory: 736 2022/08/08 21:12:49 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:00:50 time: 0.0573 data_time: 0.0065 memory: 736 2022/08/08 21:12:50 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:00:48 time: 0.0560 data_time: 0.0048 memory: 736 2022/08/08 21:12:52 - mmengine - INFO - Epoch(val) [2][5440/6282] eta: 0:01:09 time: 0.0821 data_time: 0.0045 memory: 736 2022/08/08 21:12:53 - mmengine - INFO - Epoch(val) [2][5460/6282] eta: 0:00:45 time: 0.0559 data_time: 0.0058 memory: 736 2022/08/08 21:12:54 - mmengine - INFO - Epoch(val) [2][5480/6282] eta: 0:00:44 time: 0.0559 data_time: 0.0050 memory: 736 2022/08/08 21:12:55 - mmengine - INFO - Epoch(val) [2][5500/6282] eta: 0:00:45 time: 0.0576 data_time: 0.0064 memory: 736 2022/08/08 21:12:56 - mmengine - INFO - Epoch(val) [2][5520/6282] eta: 0:00:43 time: 0.0568 data_time: 0.0042 memory: 761 2022/08/08 21:12:57 - mmengine - INFO - Epoch(val) [2][5540/6282] eta: 0:00:43 time: 0.0584 data_time: 0.0046 memory: 761 2022/08/08 21:12:58 - mmengine - INFO - Epoch(val) [2][5560/6282] eta: 0:00:41 time: 0.0571 data_time: 0.0050 memory: 761 2022/08/08 21:13:00 - mmengine - INFO - Epoch(val) [2][5580/6282] eta: 0:00:42 time: 0.0606 data_time: 0.0045 memory: 761 2022/08/08 21:13:01 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:00:38 time: 0.0571 data_time: 0.0055 memory: 761 2022/08/08 21:13:02 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:00:53 time: 0.0808 data_time: 0.0048 memory: 761 2022/08/08 21:13:03 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:33 time: 0.0524 data_time: 0.0043 memory: 736 2022/08/08 21:13:04 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:33 time: 0.0532 data_time: 0.0041 memory: 736 2022/08/08 21:13:06 - mmengine - INFO - Epoch(val) [2][5680/6282] eta: 0:00:32 time: 0.0537 data_time: 0.0066 memory: 736 2022/08/08 21:13:07 - mmengine - INFO - Epoch(val) [2][5700/6282] eta: 0:00:29 time: 0.0507 data_time: 0.0031 memory: 736 2022/08/08 21:13:08 - mmengine - INFO - Epoch(val) [2][5720/6282] eta: 0:00:29 time: 0.0519 data_time: 0.0042 memory: 777 2022/08/08 21:13:09 - mmengine - INFO - Epoch(val) [2][5740/6282] eta: 0:00:31 time: 0.0581 data_time: 0.0042 memory: 777 2022/08/08 21:13:10 - mmengine - INFO - Epoch(val) [2][5760/6282] eta: 0:00:30 time: 0.0593 data_time: 0.0045 memory: 777 2022/08/08 21:13:11 - mmengine - INFO - Epoch(val) [2][5780/6282] eta: 0:00:30 time: 0.0605 data_time: 0.0060 memory: 777 2022/08/08 21:13:12 - mmengine - INFO - Epoch(val) [2][5800/6282] eta: 0:00:28 time: 0.0590 data_time: 0.0044 memory: 777 2022/08/08 21:13:14 - mmengine - INFO - Epoch(val) [2][5820/6282] eta: 0:00:28 time: 0.0609 data_time: 0.0055 memory: 777 2022/08/08 21:13:15 - mmengine - INFO - Epoch(val) [2][5840/6282] eta: 0:00:26 time: 0.0597 data_time: 0.0051 memory: 761 2022/08/08 21:13:16 - mmengine - INFO - Epoch(val) [2][5860/6282] eta: 0:00:32 time: 0.0774 data_time: 0.0044 memory: 761 2022/08/08 21:13:18 - mmengine - INFO - Epoch(val) [2][5880/6282] eta: 0:00:24 time: 0.0605 data_time: 0.0057 memory: 761 2022/08/08 21:13:19 - mmengine - INFO - Epoch(val) [2][5900/6282] eta: 0:00:22 time: 0.0583 data_time: 0.0062 memory: 761 2022/08/08 21:13:20 - mmengine - INFO - Epoch(val) [2][5920/6282] eta: 0:00:20 time: 0.0569 data_time: 0.0047 memory: 761 2022/08/08 21:13:21 - mmengine - INFO - Epoch(val) [2][5940/6282] eta: 0:00:18 time: 0.0534 data_time: 0.0040 memory: 736 2022/08/08 21:13:22 - mmengine - INFO - Epoch(val) [2][5960/6282] eta: 0:00:17 time: 0.0534 data_time: 0.0040 memory: 736 2022/08/08 21:13:23 - mmengine - INFO - Epoch(val) [2][5980/6282] eta: 0:00:16 time: 0.0557 data_time: 0.0049 memory: 736 2022/08/08 21:13:24 - mmengine - INFO - Epoch(val) [2][6000/6282] eta: 0:00:17 time: 0.0637 data_time: 0.0051 memory: 806 2022/08/08 21:13:26 - mmengine - INFO - Epoch(val) [2][6020/6282] eta: 0:00:18 time: 0.0687 data_time: 0.0062 memory: 806 2022/08/08 21:13:27 - mmengine - INFO - Epoch(val) [2][6040/6282] eta: 0:00:16 time: 0.0688 data_time: 0.0062 memory: 806 2022/08/08 21:13:28 - mmengine - INFO - Epoch(val) [2][6060/6282] eta: 0:00:14 time: 0.0646 data_time: 0.0053 memory: 806 2022/08/08 21:13:30 - mmengine - INFO - Epoch(val) [2][6080/6282] eta: 0:00:18 time: 0.0926 data_time: 0.0066 memory: 806 2022/08/08 21:13:32 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:13 time: 0.0721 data_time: 0.0089 memory: 806 2022/08/08 21:13:33 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:13 time: 0.0846 data_time: 0.0197 memory: 806 2022/08/08 21:13:35 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:10 time: 0.0758 data_time: 0.0157 memory: 806 2022/08/08 21:13:36 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:08 time: 0.0677 data_time: 0.0103 memory: 806 2022/08/08 21:13:38 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:06 time: 0.0619 data_time: 0.0055 memory: 806 2022/08/08 21:13:39 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:04 time: 0.0562 data_time: 0.0029 memory: 806 2022/08/08 21:13:40 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:03 time: 0.0553 data_time: 0.0033 memory: 806 2022/08/08 21:13:41 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:02 time: 0.0530 data_time: 0.0027 memory: 806 2022/08/08 21:13:42 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:01 time: 0.0526 data_time: 0.0025 memory: 806 2022/08/08 21:13:43 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.0525 data_time: 0.0026 memory: 806 2022/08/08 21:19:02 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2148 2022/08/08 21:19:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2022/08/08 21:19:08 - mmengine - INFO - The best checkpoint with 0.2148 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2022/08/08 21:19:33 - mmengine - INFO - Epoch(train) [3][20/2881] lr: 5.5000e-02 eta: 9:41:26 time: 1.2687 data_time: 0.3040 memory: 13802 grad_norm: 0.1845 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7267 recall@top3: 0.8000 prec@top3: 0.6133 recall@top5: 0.9800 prec@top5: 0.4720 loss_action_cls: 0.0819 loss: 0.0819 2022/08/08 21:19:57 - mmengine - INFO - Epoch(train) [3][40/2881] lr: 5.5000e-02 eta: 9:42:46 time: 1.1968 data_time: 0.0231 memory: 13802 grad_norm: 0.1918 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.7063 recall@top3: 0.7381 prec@top3: 0.5397 recall@top5: 0.8571 prec@top5: 0.3905 loss_action_cls: 0.0817 loss: 0.0817 2022/08/08 21:20:17 - mmengine - INFO - Epoch(train) [3][60/2881] lr: 5.5000e-02 eta: 9:43:29 time: 0.9889 data_time: 0.3363 memory: 13802 grad_norm: 0.1838 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7817 recall@top3: 0.6944 prec@top3: 0.6825 recall@top5: 0.8333 prec@top5: 0.5143 loss_action_cls: 0.0634 loss: 0.0634 2022/08/08 21:20:35 - mmengine - INFO - Epoch(train) [3][80/2881] lr: 5.5000e-02 eta: 9:43:51 time: 0.8767 data_time: 0.2586 memory: 13802 grad_norm: 0.1804 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7424 recall@top3: 0.8106 prec@top3: 0.6667 recall@top5: 0.8939 prec@top5: 0.4636 loss_action_cls: 0.0809 loss: 0.0809 2022/08/08 21:20:55 - mmengine - INFO - Epoch(train) [3][100/2881] lr: 5.5000e-02 eta: 9:44:38 time: 1.0188 data_time: 0.0303 memory: 13802 grad_norm: 0.1858 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.6000 recall@top3: 0.7083 prec@top3: 0.4333 recall@top5: 0.8583 prec@top5: 0.3400 loss_action_cls: 0.0727 loss: 0.0727 2022/08/08 21:21:10 - mmengine - INFO - Epoch(train) [3][120/2881] lr: 5.5000e-02 eta: 9:44:39 time: 0.7625 data_time: 0.1449 memory: 13802 grad_norm: 0.1801 recall@thr=0.5: 0.6090 prec@thr=0.5: 0.5641 recall@top3: 0.6859 prec@top3: 0.5513 recall@top5: 0.9231 prec@top5: 0.4231 loss_action_cls: 0.0837 loss: 0.0837 2022/08/08 21:21:27 - mmengine - INFO - Epoch(train) [3][140/2881] lr: 5.5000e-02 eta: 9:44:56 time: 0.8490 data_time: 0.0181 memory: 13802 grad_norm: 0.1735 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8512 recall@top3: 0.8988 prec@top3: 0.8095 recall@top5: 0.9524 prec@top5: 0.5071 loss_action_cls: 0.0609 loss: 0.0609 2022/08/08 21:21:44 - mmengine - INFO - Epoch(train) [3][160/2881] lr: 5.5000e-02 eta: 9:45:13 time: 0.8545 data_time: 0.2470 memory: 13802 grad_norm: 0.1847 recall@thr=0.5: 0.2841 prec@thr=0.5: 0.4855 recall@top3: 0.5862 prec@top3: 0.5362 recall@top5: 0.7507 prec@top5: 0.4174 loss_action_cls: 0.0702 loss: 0.0702 2022/08/08 21:22:03 - mmengine - INFO - Epoch(train) [3][180/2881] lr: 5.5000e-02 eta: 9:45:45 time: 0.9403 data_time: 0.1380 memory: 13802 grad_norm: 0.1712 recall@thr=0.5: 0.4049 prec@thr=0.5: 0.5988 recall@top3: 0.5895 prec@top3: 0.5185 recall@top5: 0.7926 prec@top5: 0.4370 loss_action_cls: 0.0703 loss: 0.0703 2022/08/08 21:22:15 - mmengine - INFO - Epoch(train) [3][200/2881] lr: 5.5000e-02 eta: 9:45:18 time: 0.6081 data_time: 0.0240 memory: 13802 grad_norm: 0.1703 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7130 recall@top3: 0.8056 prec@top3: 0.7407 recall@top5: 0.9259 prec@top5: 0.5222 loss_action_cls: 0.0828 loss: 0.0828 2022/08/08 21:22:31 - mmengine - INFO - Epoch(train) [3][220/2881] lr: 5.5000e-02 eta: 9:45:20 time: 0.7698 data_time: 0.0216 memory: 13802 grad_norm: 0.1637 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.7600 recall@top3: 0.8583 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0749 loss: 0.0749 2022/08/08 21:22:46 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 21:22:47 - mmengine - INFO - Epoch(train) [3][240/2881] lr: 5.5000e-02 eta: 9:45:32 time: 0.8265 data_time: 0.0230 memory: 13802 grad_norm: 0.1740 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7042 recall@top3: 0.7396 prec@top3: 0.5625 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0677 loss: 0.0677 2022/08/08 21:23:03 - mmengine - INFO - Epoch(train) [3][260/2881] lr: 5.5000e-02 eta: 9:45:33 time: 0.7668 data_time: 0.0208 memory: 13802 grad_norm: 0.1723 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7536 recall@top3: 0.8841 prec@top3: 0.6232 recall@top5: 0.9710 prec@top5: 0.4261 loss_action_cls: 0.0661 loss: 0.0661 2022/08/08 21:23:23 - mmengine - INFO - Epoch(train) [3][280/2881] lr: 5.5000e-02 eta: 9:46:14 time: 0.9971 data_time: 0.0223 memory: 13802 grad_norm: 0.1885 recall@thr=0.5: 0.6827 prec@thr=0.5: 0.7083 recall@top3: 0.6923 prec@top3: 0.6282 recall@top5: 0.9231 prec@top5: 0.5000 loss_action_cls: 0.0741 loss: 0.0741 2022/08/08 21:23:43 - mmengine - INFO - Epoch(train) [3][300/2881] lr: 5.5000e-02 eta: 9:46:59 time: 1.0317 data_time: 0.0269 memory: 13802 grad_norm: 0.1656 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7593 recall@top3: 0.7222 prec@top3: 0.6049 recall@top5: 0.8580 prec@top5: 0.4370 loss_action_cls: 0.0683 loss: 0.0683 2022/08/08 21:23:56 - mmengine - INFO - Epoch(train) [3][320/2881] lr: 5.5000e-02 eta: 9:46:40 time: 0.6468 data_time: 0.0204 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.4691 prec@thr=0.5: 0.6049 recall@top3: 0.7037 prec@top3: 0.5926 recall@top5: 0.7963 prec@top5: 0.4074 loss_action_cls: 0.0806 loss: 0.0806 2022/08/08 21:24:10 - mmengine - INFO - Epoch(train) [3][340/2881] lr: 5.5000e-02 eta: 9:46:26 time: 0.6867 data_time: 0.0217 memory: 13802 grad_norm: 0.1865 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.6594 recall@top3: 0.8623 prec@top3: 0.5942 recall@top5: 0.9203 prec@top5: 0.3826 loss_action_cls: 0.0640 loss: 0.0640 2022/08/08 21:24:36 - mmengine - INFO - Epoch(train) [3][360/2881] lr: 5.5000e-02 eta: 9:48:02 time: 1.3320 data_time: 0.0316 memory: 13802 grad_norm: 0.1900 recall@thr=0.5: 0.6552 prec@thr=0.5: 0.6437 recall@top3: 0.7443 prec@top3: 0.6552 recall@top5: 0.8822 prec@top5: 0.4552 loss_action_cls: 0.0695 loss: 0.0695 2022/08/08 21:24:51 - mmengine - INFO - Epoch(train) [3][380/2881] lr: 5.5000e-02 eta: 9:47:55 time: 0.7279 data_time: 0.0213 memory: 13802 grad_norm: 0.1653 recall@thr=0.5: 0.6008 prec@thr=0.5: 0.7833 recall@top3: 0.8200 prec@top3: 0.7667 recall@top5: 0.8850 prec@top5: 0.5200 loss_action_cls: 0.0749 loss: 0.0749 2022/08/08 21:25:15 - mmengine - INFO - Epoch(train) [3][400/2881] lr: 5.5000e-02 eta: 9:49:07 time: 1.1956 data_time: 0.5402 memory: 13802 grad_norm: 0.1597 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7292 recall@top3: 0.6562 prec@top3: 0.3958 recall@top5: 0.8125 prec@top5: 0.3000 loss_action_cls: 0.0624 loss: 0.0624 2022/08/08 21:25:28 - mmengine - INFO - Epoch(train) [3][420/2881] lr: 5.5000e-02 eta: 9:48:47 time: 0.6504 data_time: 0.0181 memory: 13802 grad_norm: 0.1725 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6543 recall@top3: 0.7716 prec@top3: 0.5185 recall@top5: 0.8519 prec@top5: 0.3630 loss_action_cls: 0.0750 loss: 0.0750 2022/08/08 21:25:44 - mmengine - INFO - Epoch(train) [3][440/2881] lr: 5.5000e-02 eta: 9:48:53 time: 0.8058 data_time: 0.0492 memory: 13802 grad_norm: 0.2033 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7407 recall@top3: 0.6944 prec@top3: 0.6420 recall@top5: 0.8302 prec@top5: 0.4815 loss_action_cls: 0.0681 loss: 0.0681 2022/08/08 21:26:00 - mmengine - INFO - Epoch(train) [3][460/2881] lr: 5.5000e-02 eta: 9:48:57 time: 0.7946 data_time: 0.0314 memory: 13802 grad_norm: 0.1793 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.6136 recall@top3: 0.8106 prec@top3: 0.5606 recall@top5: 0.9318 prec@top5: 0.4091 loss_action_cls: 0.0717 loss: 0.0717 2022/08/08 21:26:23 - mmengine - INFO - Epoch(train) [3][480/2881] lr: 5.5000e-02 eta: 9:49:58 time: 1.1394 data_time: 0.0236 memory: 13802 grad_norm: 0.1768 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8241 recall@top3: 0.8426 prec@top3: 0.7963 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0789 loss: 0.0789 2022/08/08 21:26:41 - mmengine - INFO - Epoch(train) [3][500/2881] lr: 5.5000e-02 eta: 9:50:20 time: 0.9108 data_time: 0.0257 memory: 13802 grad_norm: 0.1661 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7576 recall@top3: 0.8826 prec@top3: 0.8182 recall@top5: 0.9394 prec@top5: 0.5273 loss_action_cls: 0.0777 loss: 0.0777 2022/08/08 21:27:05 - mmengine - INFO - Epoch(train) [3][520/2881] lr: 5.5000e-02 eta: 9:51:34 time: 1.2213 data_time: 0.0233 memory: 13802 grad_norm: 0.1488 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.9778 recall@top3: 0.7444 prec@top3: 0.6000 recall@top5: 0.8556 prec@top5: 0.4267 loss_action_cls: 0.0699 loss: 0.0699 2022/08/08 21:27:19 - mmengine - INFO - Epoch(train) [3][540/2881] lr: 5.5000e-02 eta: 9:51:16 time: 0.6717 data_time: 0.0260 memory: 13802 grad_norm: 0.1652 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.5365 recall@top3: 0.8021 prec@top3: 0.5208 recall@top5: 0.9792 prec@top5: 0.4000 loss_action_cls: 0.0591 loss: 0.0591 2022/08/08 21:27:32 - mmengine - INFO - Epoch(train) [3][560/2881] lr: 5.5000e-02 eta: 9:51:00 time: 0.6756 data_time: 0.0260 memory: 13802 grad_norm: 0.1810 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.6750 recall@top3: 0.6500 prec@top3: 0.4333 recall@top5: 0.8500 prec@top5: 0.3400 loss_action_cls: 0.0719 loss: 0.0719 2022/08/08 21:27:45 - mmengine - INFO - Epoch(train) [3][580/2881] lr: 5.5000e-02 eta: 9:50:36 time: 0.6250 data_time: 0.0218 memory: 13802 grad_norm: 0.1766 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.8605 recall@top3: 0.7281 prec@top3: 0.6316 recall@top5: 0.8158 prec@top5: 0.4421 loss_action_cls: 0.0682 loss: 0.0682 2022/08/08 21:27:57 - mmengine - INFO - Epoch(train) [3][600/2881] lr: 5.5000e-02 eta: 9:50:12 time: 0.6304 data_time: 0.0206 memory: 13802 grad_norm: 0.1640 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7976 recall@top3: 0.8393 prec@top3: 0.7381 recall@top5: 0.9405 prec@top5: 0.5000 loss_action_cls: 0.0738 loss: 0.0738 2022/08/08 21:28:10 - mmengine - INFO - Epoch(train) [3][620/2881] lr: 5.5000e-02 eta: 9:49:45 time: 0.6062 data_time: 0.0208 memory: 13802 grad_norm: 0.1736 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6389 recall@top3: 0.7130 prec@top3: 0.5000 recall@top5: 0.9074 prec@top5: 0.3778 loss_action_cls: 0.0655 loss: 0.0655 2022/08/08 21:28:22 - mmengine - INFO - Epoch(train) [3][640/2881] lr: 5.5000e-02 eta: 9:49:18 time: 0.6113 data_time: 0.0231 memory: 13802 grad_norm: 0.1691 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.6111 recall@top3: 0.7569 prec@top3: 0.5972 recall@top5: 0.8472 prec@top5: 0.4167 loss_action_cls: 0.0746 loss: 0.0746 2022/08/08 21:28:34 - mmengine - INFO - Epoch(train) [3][660/2881] lr: 5.5000e-02 eta: 9:48:55 time: 0.6323 data_time: 0.0222 memory: 13802 grad_norm: 0.1895 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.6417 recall@top3: 0.8250 prec@top3: 0.5833 recall@top5: 0.9250 prec@top5: 0.4000 loss_action_cls: 0.0820 loss: 0.0820 2022/08/08 21:28:47 - mmengine - INFO - Epoch(train) [3][680/2881] lr: 5.5000e-02 eta: 9:48:31 time: 0.6253 data_time: 0.0190 memory: 13802 grad_norm: 0.1702 recall@thr=0.5: 0.5313 prec@thr=0.5: 0.5972 recall@top3: 0.5521 prec@top3: 0.5000 recall@top5: 0.7847 prec@top5: 0.4167 loss_action_cls: 0.0742 loss: 0.0742 2022/08/08 21:28:59 - mmengine - INFO - Epoch(train) [3][700/2881] lr: 5.5000e-02 eta: 9:48:04 time: 0.6076 data_time: 0.0214 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.6172 recall@top3: 0.7146 prec@top3: 0.6364 recall@top5: 0.9520 prec@top5: 0.5212 loss_action_cls: 0.0720 loss: 0.0720 2022/08/08 21:29:12 - mmengine - INFO - Epoch(train) [3][720/2881] lr: 5.5000e-02 eta: 9:47:42 time: 0.6379 data_time: 0.0217 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.7679 recall@top3: 0.7619 prec@top3: 0.7381 recall@top5: 0.9018 prec@top5: 0.5357 loss_action_cls: 0.0719 loss: 0.0719 2022/08/08 21:29:24 - mmengine - INFO - Epoch(train) [3][740/2881] lr: 5.5000e-02 eta: 9:47:19 time: 0.6278 data_time: 0.0220 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.5754 prec@thr=0.5: 0.6825 recall@top3: 0.6429 prec@top3: 0.5714 recall@top5: 0.8492 prec@top5: 0.4571 loss_action_cls: 0.0696 loss: 0.0696 2022/08/08 21:29:36 - mmengine - INFO - Epoch(train) [3][760/2881] lr: 5.5000e-02 eta: 9:46:52 time: 0.6052 data_time: 0.0202 memory: 13802 grad_norm: 0.1680 recall@thr=0.5: 0.5711 prec@thr=0.5: 0.7215 recall@top3: 0.6500 prec@top3: 0.6404 recall@top5: 0.8772 prec@top5: 0.5263 loss_action_cls: 0.0644 loss: 0.0644 2022/08/08 21:29:49 - mmengine - INFO - Epoch(train) [3][780/2881] lr: 5.5000e-02 eta: 9:46:29 time: 0.6323 data_time: 0.0239 memory: 13802 grad_norm: 0.1551 recall@thr=0.5: 0.6258 prec@thr=0.5: 0.7803 recall@top3: 0.8015 prec@top3: 0.6061 recall@top5: 0.8879 prec@top5: 0.4182 loss_action_cls: 0.0733 loss: 0.0733 2022/08/08 21:30:02 - mmengine - INFO - Epoch(train) [3][800/2881] lr: 5.5000e-02 eta: 9:46:05 time: 0.6228 data_time: 0.0223 memory: 13802 grad_norm: 0.1708 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6417 recall@top3: 0.7500 prec@top3: 0.5222 recall@top5: 0.9500 prec@top5: 0.4067 loss_action_cls: 0.0683 loss: 0.0683 2022/08/08 21:30:14 - mmengine - INFO - Epoch(train) [3][820/2881] lr: 5.5000e-02 eta: 9:45:41 time: 0.6208 data_time: 0.0255 memory: 13802 grad_norm: 0.1671 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.4902 recall@top3: 0.6912 prec@top3: 0.4706 recall@top5: 0.9020 prec@top5: 0.3647 loss_action_cls: 0.0715 loss: 0.0715 2022/08/08 21:30:26 - mmengine - INFO - Epoch(train) [3][840/2881] lr: 5.5000e-02 eta: 9:45:17 time: 0.6229 data_time: 0.0205 memory: 13802 grad_norm: 0.1668 recall@thr=0.5: 0.5616 prec@thr=0.5: 0.5181 recall@top3: 0.5942 prec@top3: 0.4638 recall@top5: 0.8043 prec@top5: 0.3652 loss_action_cls: 0.0635 loss: 0.0635 2022/08/08 21:30:39 - mmengine - INFO - Epoch(train) [3][860/2881] lr: 5.5000e-02 eta: 9:44:52 time: 0.6191 data_time: 0.0207 memory: 13802 grad_norm: 0.1706 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7685 recall@top3: 0.7361 prec@top3: 0.5926 recall@top5: 0.8472 prec@top5: 0.4222 loss_action_cls: 0.0753 loss: 0.0753 2022/08/08 21:30:52 - mmengine - INFO - Epoch(train) [3][880/2881] lr: 5.5000e-02 eta: 9:44:35 time: 0.6651 data_time: 0.0219 memory: 13802 grad_norm: 0.1700 recall@thr=0.5: 0.8270 prec@thr=0.5: 0.8651 recall@top3: 0.8587 prec@top3: 0.8413 recall@top5: 0.9254 prec@top5: 0.5524 loss_action_cls: 0.0618 loss: 0.0618 2022/08/08 21:31:05 - mmengine - INFO - Epoch(train) [3][900/2881] lr: 5.5000e-02 eta: 9:44:12 time: 0.6252 data_time: 0.0207 memory: 13802 grad_norm: 0.1629 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7010 recall@top3: 0.8137 prec@top3: 0.6667 recall@top5: 0.9216 prec@top5: 0.4588 loss_action_cls: 0.0639 loss: 0.0639 2022/08/08 21:31:17 - mmengine - INFO - Epoch(train) [3][920/2881] lr: 5.5000e-02 eta: 9:43:50 time: 0.6386 data_time: 0.0222 memory: 13802 grad_norm: 0.1517 recall@thr=0.5: 0.4008 prec@thr=0.5: 0.5714 recall@top3: 0.7897 prec@top3: 0.6190 recall@top5: 0.9127 prec@top5: 0.4381 loss_action_cls: 0.0697 loss: 0.0697 2022/08/08 21:31:30 - mmengine - INFO - Epoch(train) [3][940/2881] lr: 5.5000e-02 eta: 9:43:28 time: 0.6318 data_time: 0.0210 memory: 13802 grad_norm: 0.1652 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7778 recall@top3: 0.7870 prec@top3: 0.5556 recall@top5: 0.9815 prec@top5: 0.4333 loss_action_cls: 0.0726 loss: 0.0726 2022/08/08 21:31:43 - mmengine - INFO - Epoch(train) [3][960/2881] lr: 5.5000e-02 eta: 9:43:08 time: 0.6438 data_time: 0.0200 memory: 13802 grad_norm: 0.1638 recall@thr=0.5: 0.3804 prec@thr=0.5: 0.5238 recall@top3: 0.6232 prec@top3: 0.5952 recall@top5: 0.8185 prec@top5: 0.4857 loss_action_cls: 0.0663 loss: 0.0663 2022/08/08 21:31:56 - mmengine - INFO - Epoch(train) [3][980/2881] lr: 5.5000e-02 eta: 9:42:51 time: 0.6663 data_time: 0.0226 memory: 13802 grad_norm: 0.1702 recall@thr=0.5: 0.5800 prec@thr=0.5: 0.6867 recall@top3: 0.6800 prec@top3: 0.6267 recall@top5: 0.8633 prec@top5: 0.4640 loss_action_cls: 0.0736 loss: 0.0736 2022/08/08 21:32:08 - mmengine - INFO - Epoch(train) [3][1000/2881] lr: 5.5000e-02 eta: 9:42:24 time: 0.6040 data_time: 0.0211 memory: 13802 grad_norm: 0.1700 recall@thr=0.5: 0.6338 prec@thr=0.5: 0.7374 recall@top3: 0.8359 prec@top3: 0.6768 recall@top5: 0.9293 prec@top5: 0.4485 loss_action_cls: 0.0651 loss: 0.0651 2022/08/08 21:32:22 - mmengine - INFO - Epoch(train) [3][1020/2881] lr: 5.5000e-02 eta: 9:42:07 time: 0.6626 data_time: 0.0229 memory: 13802 grad_norm: 0.1696 recall@thr=0.5: 0.6424 prec@thr=0.5: 0.7396 recall@top3: 0.7535 prec@top3: 0.6389 recall@top5: 0.9618 prec@top5: 0.5000 loss_action_cls: 0.0640 loss: 0.0640 2022/08/08 21:32:35 - mmengine - INFO - Epoch(train) [3][1040/2881] lr: 5.5000e-02 eta: 9:41:48 time: 0.6531 data_time: 0.0261 memory: 13802 grad_norm: 0.1825 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6842 recall@top3: 0.7237 prec@top3: 0.5614 recall@top5: 0.8158 prec@top5: 0.3895 loss_action_cls: 0.0768 loss: 0.0768 2022/08/08 21:32:47 - mmengine - INFO - Epoch(train) [3][1060/2881] lr: 5.5000e-02 eta: 9:41:23 time: 0.6069 data_time: 0.0256 memory: 13802 grad_norm: 0.1894 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.8913 recall@top3: 0.7355 prec@top3: 0.6377 recall@top5: 0.8768 prec@top5: 0.4609 loss_action_cls: 0.0608 loss: 0.0608 2022/08/08 21:33:00 - mmengine - INFO - Epoch(train) [3][1080/2881] lr: 5.5000e-02 eta: 9:41:04 time: 0.6541 data_time: 0.0212 memory: 13802 grad_norm: 0.1770 recall@thr=0.5: 0.6076 prec@thr=0.5: 0.8333 recall@top3: 0.7674 prec@top3: 0.6389 recall@top5: 0.8681 prec@top5: 0.4333 loss_action_cls: 0.0701 loss: 0.0701 2022/08/08 21:33:13 - mmengine - INFO - Epoch(train) [3][1100/2881] lr: 5.5000e-02 eta: 9:40:45 time: 0.6543 data_time: 0.0274 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.6148 prec@thr=0.5: 0.8148 recall@top3: 0.7235 prec@top3: 0.5926 recall@top5: 0.8074 prec@top5: 0.4222 loss_action_cls: 0.0690 loss: 0.0690 2022/08/08 21:33:25 - mmengine - INFO - Epoch(train) [3][1120/2881] lr: 5.5000e-02 eta: 9:40:20 time: 0.6054 data_time: 0.0223 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6019 recall@top3: 0.8148 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0715 loss: 0.0715 2022/08/08 21:33:38 - mmengine - INFO - Epoch(train) [3][1140/2881] lr: 5.5000e-02 eta: 9:40:01 time: 0.6488 data_time: 0.0203 memory: 13802 grad_norm: 0.1565 recall@thr=0.5: 0.5300 prec@thr=0.5: 0.7473 recall@top3: 0.6833 prec@top3: 0.7067 recall@top5: 0.8400 prec@top5: 0.5280 loss_action_cls: 0.0716 loss: 0.0716 2022/08/08 21:33:50 - mmengine - INFO - Epoch(train) [3][1160/2881] lr: 5.5000e-02 eta: 9:39:35 time: 0.6064 data_time: 0.0214 memory: 13802 grad_norm: 0.1810 recall@thr=0.5: 0.4533 prec@thr=0.5: 0.6200 recall@top3: 0.5267 prec@top3: 0.4133 recall@top5: 0.7733 prec@top5: 0.3440 loss_action_cls: 0.0662 loss: 0.0662 2022/08/08 21:34:03 - mmengine - INFO - Epoch(train) [3][1180/2881] lr: 5.5000e-02 eta: 9:39:13 time: 0.6254 data_time: 0.0208 memory: 13802 grad_norm: 0.1686 recall@thr=0.5: 0.4611 prec@thr=0.5: 0.6465 recall@top3: 0.6424 prec@top3: 0.6667 recall@top5: 0.7788 prec@top5: 0.5091 loss_action_cls: 0.0668 loss: 0.0668 2022/08/08 21:34:15 - mmengine - INFO - Epoch(train) [3][1200/2881] lr: 5.5000e-02 eta: 9:38:52 time: 0.6406 data_time: 0.0232 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.4472 prec@thr=0.5: 0.5944 recall@top3: 0.6861 prec@top3: 0.6111 recall@top5: 0.9111 prec@top5: 0.5133 loss_action_cls: 0.0754 loss: 0.0754 2022/08/08 21:34:28 - mmengine - INFO - Epoch(train) [3][1220/2881] lr: 5.5000e-02 eta: 9:38:27 time: 0.6087 data_time: 0.0197 memory: 13802 grad_norm: 0.1698 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.8258 recall@top3: 0.7879 prec@top3: 0.5455 recall@top5: 0.8636 prec@top5: 0.3545 loss_action_cls: 0.0693 loss: 0.0693 2022/08/08 21:34:39 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 21:34:40 - mmengine - INFO - Epoch(train) [3][1240/2881] lr: 5.5000e-02 eta: 9:38:06 time: 0.6311 data_time: 0.0223 memory: 13802 grad_norm: 0.1613 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.7841 recall@top3: 0.8864 prec@top3: 0.7727 recall@top5: 0.9015 prec@top5: 0.4727 loss_action_cls: 0.0652 loss: 0.0652 2022/08/08 21:34:53 - mmengine - INFO - Epoch(train) [3][1260/2881] lr: 5.5000e-02 eta: 9:37:46 time: 0.6429 data_time: 0.0204 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.7402 prec@thr=0.5: 0.7843 recall@top3: 0.7794 prec@top3: 0.7451 recall@top5: 0.9804 prec@top5: 0.5529 loss_action_cls: 0.0586 loss: 0.0586 2022/08/08 21:35:06 - mmengine - INFO - Epoch(train) [3][1280/2881] lr: 5.5000e-02 eta: 9:37:24 time: 0.6300 data_time: 0.0216 memory: 13802 grad_norm: 0.1570 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6667 recall@top3: 0.8833 prec@top3: 0.6889 recall@top5: 0.9444 prec@top5: 0.4533 loss_action_cls: 0.0604 loss: 0.0604 2022/08/08 21:35:18 - mmengine - INFO - Epoch(train) [3][1300/2881] lr: 5.5000e-02 eta: 9:37:03 time: 0.6305 data_time: 0.0221 memory: 13802 grad_norm: 0.1721 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7024 recall@top3: 0.7381 prec@top3: 0.6349 recall@top5: 0.9048 prec@top5: 0.4667 loss_action_cls: 0.0643 loss: 0.0643 2022/08/08 21:35:31 - mmengine - INFO - Epoch(train) [3][1320/2881] lr: 5.5000e-02 eta: 9:36:38 time: 0.6094 data_time: 0.0259 memory: 13802 grad_norm: 0.1668 recall@thr=0.5: 0.6033 prec@thr=0.5: 0.6917 recall@top3: 0.7650 prec@top3: 0.6500 recall@top5: 0.9133 prec@top5: 0.4900 loss_action_cls: 0.0690 loss: 0.0690 2022/08/08 21:35:43 - mmengine - INFO - Epoch(train) [3][1340/2881] lr: 5.5000e-02 eta: 9:36:17 time: 0.6275 data_time: 0.0226 memory: 13802 grad_norm: 0.1768 recall@thr=0.5: 0.5492 prec@thr=0.5: 0.6349 recall@top3: 0.7127 prec@top3: 0.5556 recall@top5: 0.8603 prec@top5: 0.4476 loss_action_cls: 0.0693 loss: 0.0693 2022/08/08 21:35:56 - mmengine - INFO - Epoch(train) [3][1360/2881] lr: 5.5000e-02 eta: 9:35:55 time: 0.6321 data_time: 0.0216 memory: 13802 grad_norm: 0.1715 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.8175 recall@top3: 0.7063 prec@top3: 0.5238 recall@top5: 0.8651 prec@top5: 0.3905 loss_action_cls: 0.0683 loss: 0.0683 2022/08/08 21:36:08 - mmengine - INFO - Epoch(train) [3][1380/2881] lr: 5.5000e-02 eta: 9:35:31 time: 0.6063 data_time: 0.0203 memory: 13802 grad_norm: 0.1531 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8444 recall@top3: 0.8500 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0667 loss: 0.0667 2022/08/08 21:36:20 - mmengine - INFO - Epoch(train) [3][1400/2881] lr: 5.5000e-02 eta: 9:35:09 time: 0.6277 data_time: 0.0220 memory: 13802 grad_norm: 0.1734 recall@thr=0.5: 0.6568 prec@thr=0.5: 0.6833 recall@top3: 0.7106 prec@top3: 0.6364 recall@top5: 0.9030 prec@top5: 0.4818 loss_action_cls: 0.0692 loss: 0.0692 2022/08/08 21:36:39 - mmengine - INFO - Epoch(train) [3][1420/2881] lr: 5.5000e-02 eta: 9:35:28 time: 0.9138 data_time: 0.0242 memory: 13802 grad_norm: 0.1774 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.6254 recall@top3: 0.6775 prec@top3: 0.4928 recall@top5: 0.9348 prec@top5: 0.4435 loss_action_cls: 0.0614 loss: 0.0614 2022/08/08 21:37:07 - mmengine - INFO - Epoch(train) [3][1440/2881] lr: 5.5000e-02 eta: 9:36:53 time: 1.3923 data_time: 0.3184 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7632 recall@top3: 0.8421 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0648 loss: 0.0648 2022/08/08 21:37:40 - mmengine - INFO - Epoch(train) [3][1460/2881] lr: 5.5000e-02 eta: 9:38:56 time: 1.6638 data_time: 0.0212 memory: 13802 grad_norm: 0.1456 recall@thr=0.5: 0.5772 prec@thr=0.5: 0.6974 recall@top3: 0.7509 prec@top3: 0.6667 recall@top5: 0.9368 prec@top5: 0.4842 loss_action_cls: 0.0649 loss: 0.0649 2022/08/08 21:38:01 - mmengine - INFO - Epoch(train) [3][1480/2881] lr: 5.5000e-02 eta: 9:39:30 time: 1.0338 data_time: 0.0212 memory: 13802 grad_norm: 0.1717 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.9386 recall@top3: 0.7719 prec@top3: 0.7018 recall@top5: 0.8728 prec@top5: 0.4842 loss_action_cls: 0.0600 loss: 0.0600 2022/08/08 21:38:27 - mmengine - INFO - Epoch(train) [3][1500/2881] lr: 5.5000e-02 eta: 9:40:47 time: 1.3482 data_time: 0.2213 memory: 13802 grad_norm: 0.1725 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.8833 recall@top3: 0.7583 prec@top3: 0.6833 recall@top5: 0.9750 prec@top5: 0.5300 loss_action_cls: 0.0668 loss: 0.0668 2022/08/08 21:38:56 - mmengine - INFO - Epoch(train) [3][1520/2881] lr: 5.5000e-02 eta: 9:42:16 time: 1.4323 data_time: 0.0223 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7304 recall@top3: 0.7108 prec@top3: 0.5686 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0674 loss: 0.0674 2022/08/08 21:39:22 - mmengine - INFO - Epoch(train) [3][1540/2881] lr: 5.5000e-02 eta: 9:43:26 time: 1.3043 data_time: 0.0234 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.4378 prec@thr=0.5: 0.7244 recall@top3: 0.6987 prec@top3: 0.7436 recall@top5: 0.8756 prec@top5: 0.5769 loss_action_cls: 0.0692 loss: 0.0692 2022/08/08 21:39:44 - mmengine - INFO - Epoch(train) [3][1560/2881] lr: 5.5000e-02 eta: 9:44:08 time: 1.1041 data_time: 0.0240 memory: 13802 grad_norm: 0.1681 recall@thr=0.5: 0.6542 prec@thr=0.5: 0.8611 recall@top3: 0.8153 prec@top3: 0.7361 recall@top5: 0.8625 prec@top5: 0.4833 loss_action_cls: 0.0682 loss: 0.0682 2022/08/08 21:40:03 - mmengine - INFO - Epoch(train) [3][1580/2881] lr: 5.5000e-02 eta: 9:44:26 time: 0.9249 data_time: 0.0240 memory: 13802 grad_norm: 0.1542 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7803 recall@top3: 0.6894 prec@top3: 0.6515 recall@top5: 0.9545 prec@top5: 0.5273 loss_action_cls: 0.0659 loss: 0.0659 2022/08/08 21:40:37 - mmengine - INFO - Epoch(train) [3][1600/2881] lr: 5.5000e-02 eta: 9:46:33 time: 1.7312 data_time: 0.0204 memory: 13802 grad_norm: 0.1728 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8261 recall@top3: 0.8043 prec@top3: 0.6087 recall@top5: 1.0000 prec@top5: 0.4783 loss_action_cls: 0.0603 loss: 0.0603 2022/08/08 21:40:55 - mmengine - INFO - Epoch(train) [3][1620/2881] lr: 5.5000e-02 eta: 9:46:41 time: 0.8638 data_time: 0.0229 memory: 13802 grad_norm: 0.1502 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.8939 recall@top3: 0.9356 prec@top3: 0.8030 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0579 loss: 0.0579 2022/08/08 21:41:17 - mmengine - INFO - Epoch(train) [3][1640/2881] lr: 5.5000e-02 eta: 9:47:26 time: 1.1345 data_time: 0.0235 memory: 13802 grad_norm: 0.1680 recall@thr=0.5: 0.6886 prec@thr=0.5: 0.7273 recall@top3: 0.8932 prec@top3: 0.7121 recall@top5: 0.9250 prec@top5: 0.4545 loss_action_cls: 0.0627 loss: 0.0627 2022/08/08 21:41:40 - mmengine - INFO - Epoch(train) [3][1660/2881] lr: 5.5000e-02 eta: 9:48:08 time: 1.1145 data_time: 0.0254 memory: 13802 grad_norm: 0.1579 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7143 recall@top3: 0.9286 prec@top3: 0.6548 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0563 loss: 0.0563 2022/08/08 21:42:03 - mmengine - INFO - Epoch(train) [3][1680/2881] lr: 5.5000e-02 eta: 9:48:53 time: 1.1447 data_time: 0.0283 memory: 13802 grad_norm: 0.1593 recall@thr=0.5: 0.7346 prec@thr=0.5: 0.7901 recall@top3: 0.8210 prec@top3: 0.6914 recall@top5: 0.9568 prec@top5: 0.5037 loss_action_cls: 0.0581 loss: 0.0581 2022/08/08 21:42:26 - mmengine - INFO - Epoch(train) [3][1700/2881] lr: 5.5000e-02 eta: 9:49:40 time: 1.1561 data_time: 0.0248 memory: 13802 grad_norm: 0.1513 recall@thr=0.5: 0.4677 prec@thr=0.5: 0.5161 recall@top3: 0.6935 prec@top3: 0.5054 recall@top5: 0.8387 prec@top5: 0.3806 loss_action_cls: 0.0710 loss: 0.0710 2022/08/08 21:42:48 - mmengine - INFO - Epoch(train) [3][1720/2881] lr: 5.5000e-02 eta: 9:50:18 time: 1.0917 data_time: 0.0336 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.8974 recall@top3: 0.9359 prec@top3: 0.7821 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0676 loss: 0.0676 2022/08/08 21:43:08 - mmengine - INFO - Epoch(train) [3][1740/2881] lr: 5.5000e-02 eta: 9:50:47 time: 1.0300 data_time: 0.3942 memory: 13802 grad_norm: 0.1499 recall@thr=0.5: 0.6381 prec@thr=0.5: 0.6964 recall@top3: 0.7226 prec@top3: 0.6667 recall@top5: 0.8905 prec@top5: 0.5000 loss_action_cls: 0.0648 loss: 0.0648 2022/08/08 21:43:31 - mmengine - INFO - Epoch(train) [3][1760/2881] lr: 5.5000e-02 eta: 9:51:32 time: 1.1562 data_time: 0.0223 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8175 recall@top3: 0.8413 prec@top3: 0.6349 recall@top5: 0.9524 prec@top5: 0.4381 loss_action_cls: 0.0638 loss: 0.0638 2022/08/08 21:43:48 - mmengine - INFO - Epoch(train) [3][1780/2881] lr: 5.5000e-02 eta: 9:51:37 time: 0.8496 data_time: 0.0255 memory: 13802 grad_norm: 0.1684 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7917 recall@top3: 0.7750 prec@top3: 0.5500 recall@top5: 0.8417 prec@top5: 0.3700 loss_action_cls: 0.0696 loss: 0.0696 2022/08/08 21:44:12 - mmengine - INFO - Epoch(train) [3][1800/2881] lr: 5.5000e-02 eta: 9:52:24 time: 1.1737 data_time: 0.0227 memory: 13802 grad_norm: 0.1658 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8910 recall@top3: 0.8526 prec@top3: 0.8846 recall@top5: 0.9808 prec@top5: 0.6231 loss_action_cls: 0.0678 loss: 0.0678 2022/08/08 21:44:30 - mmengine - INFO - Epoch(train) [3][1820/2881] lr: 5.5000e-02 eta: 9:52:35 time: 0.8973 data_time: 0.0234 memory: 13802 grad_norm: 0.1655 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.7235 recall@top3: 0.7803 prec@top3: 0.6970 recall@top5: 0.8939 prec@top5: 0.4818 loss_action_cls: 0.0687 loss: 0.0687 2022/08/08 21:44:48 - mmengine - INFO - Epoch(train) [3][1840/2881] lr: 5.5000e-02 eta: 9:52:49 time: 0.9292 data_time: 0.0254 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.6350 prec@thr=0.5: 0.6667 recall@top3: 0.7250 prec@top3: 0.6167 recall@top5: 0.8750 prec@top5: 0.4900 loss_action_cls: 0.0635 loss: 0.0635 2022/08/08 21:45:10 - mmengine - INFO - Epoch(train) [3][1860/2881] lr: 5.5000e-02 eta: 9:53:22 time: 1.0675 data_time: 0.0219 memory: 13802 grad_norm: 0.1507 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.7619 recall@top3: 0.6746 prec@top3: 0.6667 recall@top5: 0.8452 prec@top5: 0.5048 loss_action_cls: 0.0564 loss: 0.0564 2022/08/08 21:45:38 - mmengine - INFO - Epoch(train) [3][1880/2881] lr: 5.5000e-02 eta: 9:54:41 time: 1.4292 data_time: 0.4110 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.5167 recall@top3: 0.7333 prec@top3: 0.5167 recall@top5: 0.8250 prec@top5: 0.3600 loss_action_cls: 0.0717 loss: 0.0717 2022/08/08 21:45:57 - mmengine - INFO - Epoch(train) [3][1900/2881] lr: 5.5000e-02 eta: 9:54:59 time: 0.9576 data_time: 0.2065 memory: 13802 grad_norm: 0.1642 recall@thr=0.5: 0.6530 prec@thr=0.5: 0.7121 recall@top3: 0.7591 prec@top3: 0.5758 recall@top5: 0.8636 prec@top5: 0.4091 loss_action_cls: 0.0680 loss: 0.0680 2022/08/08 21:46:19 - mmengine - INFO - Epoch(train) [3][1920/2881] lr: 5.5000e-02 eta: 9:55:33 time: 1.0864 data_time: 0.1657 memory: 13802 grad_norm: 0.1585 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.6267 recall@top3: 0.8933 prec@top3: 0.5467 recall@top5: 0.9733 prec@top5: 0.3760 loss_action_cls: 0.0624 loss: 0.0624 2022/08/08 21:46:51 - mmengine - INFO - Epoch(train) [3][1940/2881] lr: 5.5000e-02 eta: 9:57:10 time: 1.5767 data_time: 0.0218 memory: 13802 grad_norm: 0.1721 recall@thr=0.5: 0.5913 prec@thr=0.5: 0.7302 recall@top3: 0.7500 prec@top3: 0.6190 recall@top5: 0.9683 prec@top5: 0.4667 loss_action_cls: 0.0684 loss: 0.0684 2022/08/08 21:47:09 - mmengine - INFO - Epoch(train) [3][1960/2881] lr: 5.5000e-02 eta: 9:57:23 time: 0.9270 data_time: 0.0233 memory: 13802 grad_norm: 0.1613 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6984 recall@top3: 0.7302 prec@top3: 0.5397 recall@top5: 0.9841 prec@top5: 0.4571 loss_action_cls: 0.0636 loss: 0.0636 2022/08/08 21:47:34 - mmengine - INFO - Epoch(train) [3][1980/2881] lr: 5.5000e-02 eta: 9:58:16 time: 1.2446 data_time: 0.2845 memory: 13802 grad_norm: 0.1649 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.5873 recall@top3: 0.7778 prec@top3: 0.5556 recall@top5: 0.8810 prec@top5: 0.4000 loss_action_cls: 0.0564 loss: 0.0564 2022/08/08 21:48:02 - mmengine - INFO - Epoch(train) [3][2000/2881] lr: 5.5000e-02 eta: 9:59:28 time: 1.3909 data_time: 0.0181 memory: 13802 grad_norm: 0.1662 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.5729 recall@top3: 0.6979 prec@top3: 0.4375 recall@top5: 0.8542 prec@top5: 0.3250 loss_action_cls: 0.0681 loss: 0.0681 2022/08/08 21:48:14 - mmengine - INFO - Epoch(train) [3][2020/2881] lr: 5.5000e-02 eta: 9:59:00 time: 0.6171 data_time: 0.0274 memory: 13802 grad_norm: 0.1692 recall@thr=0.5: 0.4952 prec@thr=0.5: 0.5317 recall@top3: 0.5000 prec@top3: 0.4603 recall@top5: 0.6595 prec@top5: 0.3619 loss_action_cls: 0.0699 loss: 0.0699 2022/08/08 21:48:27 - mmengine - INFO - Epoch(train) [3][2040/2881] lr: 5.5000e-02 eta: 9:58:35 time: 0.6380 data_time: 0.0218 memory: 13802 grad_norm: 0.1638 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.7857 recall@top3: 0.8730 prec@top3: 0.5714 recall@top5: 0.9841 prec@top5: 0.4000 loss_action_cls: 0.0654 loss: 0.0654 2022/08/08 21:48:40 - mmengine - INFO - Epoch(train) [3][2060/2881] lr: 5.5000e-02 eta: 9:58:10 time: 0.6375 data_time: 0.0265 memory: 13802 grad_norm: 0.1820 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7348 recall@top3: 0.8333 prec@top3: 0.6515 recall@top5: 0.9394 prec@top5: 0.4455 loss_action_cls: 0.0679 loss: 0.0679 2022/08/08 21:48:53 - mmengine - INFO - Epoch(train) [3][2080/2881] lr: 5.5000e-02 eta: 9:57:46 time: 0.6405 data_time: 0.0222 memory: 13802 grad_norm: 0.1582 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7500 recall@top3: 0.7042 prec@top3: 0.6500 recall@top5: 0.8458 prec@top5: 0.4700 loss_action_cls: 0.0645 loss: 0.0645 2022/08/08 21:49:05 - mmengine - INFO - Epoch(train) [3][2100/2881] lr: 5.5000e-02 eta: 9:57:20 time: 0.6297 data_time: 0.0270 memory: 13802 grad_norm: 0.1558 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7456 recall@top3: 0.8421 prec@top3: 0.5439 recall@top5: 0.8684 prec@top5: 0.3368 loss_action_cls: 0.0690 loss: 0.0690 2022/08/08 21:49:18 - mmengine - INFO - Epoch(train) [3][2120/2881] lr: 5.5000e-02 eta: 9:56:57 time: 0.6535 data_time: 0.0211 memory: 13802 grad_norm: 0.1576 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7593 recall@top3: 0.8148 prec@top3: 0.6481 recall@top5: 0.8704 prec@top5: 0.4222 loss_action_cls: 0.0653 loss: 0.0653 2022/08/08 21:49:30 - mmengine - INFO - Epoch(train) [3][2140/2881] lr: 5.5000e-02 eta: 9:56:28 time: 0.6028 data_time: 0.0212 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.5911 prec@thr=0.5: 0.6786 recall@top3: 0.6893 prec@top3: 0.6190 recall@top5: 0.9030 prec@top5: 0.5071 loss_action_cls: 0.0631 loss: 0.0631 2022/08/08 21:49:43 - mmengine - INFO - Epoch(train) [3][2160/2881] lr: 5.5000e-02 eta: 9:56:03 time: 0.6329 data_time: 0.0278 memory: 13802 grad_norm: 0.1632 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8889 recall@top3: 0.9365 prec@top3: 0.7302 recall@top5: 1.0000 prec@top5: 0.4762 loss_action_cls: 0.0642 loss: 0.0642 2022/08/08 21:49:56 - mmengine - INFO - Epoch(train) [3][2180/2881] lr: 5.5000e-02 eta: 9:55:38 time: 0.6356 data_time: 0.0241 memory: 13802 grad_norm: 0.1560 recall@thr=0.5: 0.6724 prec@thr=0.5: 0.7810 recall@top3: 0.7390 prec@top3: 0.6952 recall@top5: 0.9290 prec@top5: 0.5143 loss_action_cls: 0.0683 loss: 0.0683 2022/08/08 21:50:08 - mmengine - INFO - Epoch(train) [3][2200/2881] lr: 5.5000e-02 eta: 9:55:13 time: 0.6371 data_time: 0.0203 memory: 13802 grad_norm: 0.1636 recall@thr=0.5: 0.4549 prec@thr=0.5: 0.6471 recall@top3: 0.7392 prec@top3: 0.6569 recall@top5: 0.8951 prec@top5: 0.4647 loss_action_cls: 0.0705 loss: 0.0705 2022/08/08 21:50:21 - mmengine - INFO - Epoch(train) [3][2220/2881] lr: 5.5000e-02 eta: 9:54:48 time: 0.6366 data_time: 0.0268 memory: 13802 grad_norm: 0.1586 recall@thr=0.5: 0.5486 prec@thr=0.5: 0.5347 recall@top3: 0.8125 prec@top3: 0.5278 recall@top5: 0.8819 prec@top5: 0.3583 loss_action_cls: 0.0694 loss: 0.0694 2022/08/08 21:50:32 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 21:50:34 - mmengine - INFO - Epoch(train) [3][2240/2881] lr: 5.5000e-02 eta: 9:54:25 time: 0.6490 data_time: 0.0221 memory: 13802 grad_norm: 0.1631 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6296 recall@top3: 0.7222 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0640 loss: 0.0640 2022/08/08 21:50:46 - mmengine - INFO - Epoch(train) [3][2260/2881] lr: 5.5000e-02 eta: 9:53:58 time: 0.6184 data_time: 0.0226 memory: 13802 grad_norm: 0.1642 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.9649 recall@top3: 0.8465 prec@top3: 0.7544 recall@top5: 0.9737 prec@top5: 0.5368 loss_action_cls: 0.0606 loss: 0.0606 2022/08/08 21:50:59 - mmengine - INFO - Epoch(train) [3][2280/2881] lr: 5.5000e-02 eta: 9:53:33 time: 0.6296 data_time: 0.0219 memory: 13802 grad_norm: 0.1637 recall@thr=0.5: 0.6478 prec@thr=0.5: 0.7971 recall@top3: 0.7000 prec@top3: 0.6232 recall@top5: 0.9333 prec@top5: 0.5043 loss_action_cls: 0.0614 loss: 0.0614 2022/08/08 21:51:11 - mmengine - INFO - Epoch(train) [3][2300/2881] lr: 5.5000e-02 eta: 9:53:07 time: 0.6203 data_time: 0.0252 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.6132 prec@thr=0.5: 0.6667 recall@top3: 0.8057 prec@top3: 0.6782 recall@top5: 0.9454 prec@top5: 0.4621 loss_action_cls: 0.0600 loss: 0.0600 2022/08/08 21:51:24 - mmengine - INFO - Epoch(train) [3][2320/2881] lr: 5.5000e-02 eta: 9:52:41 time: 0.6279 data_time: 0.0213 memory: 13802 grad_norm: 0.1751 recall@thr=0.5: 0.4944 prec@thr=0.5: 0.6500 recall@top3: 0.7056 prec@top3: 0.5889 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0619 loss: 0.0619 2022/08/08 21:51:36 - mmengine - INFO - Epoch(train) [3][2340/2881] lr: 5.5000e-02 eta: 9:52:14 time: 0.6143 data_time: 0.0239 memory: 13802 grad_norm: 0.1686 recall@thr=0.5: 0.7019 prec@thr=0.5: 0.8889 recall@top3: 0.8191 prec@top3: 0.7160 recall@top5: 0.9568 prec@top5: 0.5407 loss_action_cls: 0.0610 loss: 0.0610 2022/08/08 21:51:48 - mmengine - INFO - Epoch(train) [3][2360/2881] lr: 5.5000e-02 eta: 9:51:46 time: 0.6034 data_time: 0.0212 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.7133 recall@top3: 0.8033 prec@top3: 0.6533 recall@top5: 0.8867 prec@top5: 0.4480 loss_action_cls: 0.0649 loss: 0.0649 2022/08/08 21:52:01 - mmengine - INFO - Epoch(train) [3][2380/2881] lr: 5.5000e-02 eta: 9:51:24 time: 0.6533 data_time: 0.0212 memory: 13802 grad_norm: 0.1615 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7417 recall@top3: 0.8917 prec@top3: 0.5000 recall@top5: 0.9375 prec@top5: 0.3300 loss_action_cls: 0.0637 loss: 0.0637 2022/08/08 21:52:15 - mmengine - INFO - Epoch(train) [3][2400/2881] lr: 5.5000e-02 eta: 9:51:03 time: 0.6600 data_time: 0.0212 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.6892 recall@top3: 0.8284 prec@top3: 0.6471 recall@top5: 0.9069 prec@top5: 0.4353 loss_action_cls: 0.0612 loss: 0.0612 2022/08/08 21:52:27 - mmengine - INFO - Epoch(train) [3][2420/2881] lr: 5.5000e-02 eta: 9:50:35 time: 0.6056 data_time: 0.0223 memory: 13802 grad_norm: 0.1469 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7333 recall@top3: 0.7233 prec@top3: 0.6400 recall@top5: 0.8933 prec@top5: 0.4960 loss_action_cls: 0.0598 loss: 0.0598 2022/08/08 21:52:40 - mmengine - INFO - Epoch(train) [3][2440/2881] lr: 5.5000e-02 eta: 9:50:11 time: 0.6390 data_time: 0.0221 memory: 13802 grad_norm: 0.1474 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7500 recall@top3: 0.7333 prec@top3: 0.6333 recall@top5: 0.9083 prec@top5: 0.4900 loss_action_cls: 0.0605 loss: 0.0605 2022/08/08 21:52:52 - mmengine - INFO - Epoch(train) [3][2460/2881] lr: 5.5000e-02 eta: 9:49:47 time: 0.6353 data_time: 0.0232 memory: 13802 grad_norm: 0.1483 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8086 recall@top3: 0.8951 prec@top3: 0.6667 recall@top5: 0.9784 prec@top5: 0.4519 loss_action_cls: 0.0666 loss: 0.0666 2022/08/08 21:53:05 - mmengine - INFO - Epoch(train) [3][2480/2881] lr: 5.5000e-02 eta: 9:49:23 time: 0.6323 data_time: 0.0216 memory: 13802 grad_norm: 0.1609 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6867 recall@top3: 0.6667 prec@top3: 0.5467 recall@top5: 0.8200 prec@top5: 0.3840 loss_action_cls: 0.0573 loss: 0.0573 2022/08/08 21:53:17 - mmengine - INFO - Epoch(train) [3][2500/2881] lr: 5.5000e-02 eta: 9:48:55 time: 0.6052 data_time: 0.0224 memory: 13802 grad_norm: 0.1665 recall@thr=0.5: 0.5431 prec@thr=0.5: 0.6840 recall@top3: 0.6708 prec@top3: 0.5972 recall@top5: 0.8861 prec@top5: 0.4750 loss_action_cls: 0.0730 loss: 0.0730 2022/08/08 21:53:30 - mmengine - INFO - Epoch(train) [3][2520/2881] lr: 5.5000e-02 eta: 9:48:32 time: 0.6444 data_time: 0.0230 memory: 13802 grad_norm: 0.1453 recall@thr=0.5: 0.6023 prec@thr=0.5: 0.5379 recall@top3: 0.7045 prec@top3: 0.5606 recall@top5: 0.8864 prec@top5: 0.4455 loss_action_cls: 0.0673 loss: 0.0673 2022/08/08 21:53:42 - mmengine - INFO - Epoch(train) [3][2540/2881] lr: 5.5000e-02 eta: 9:48:05 time: 0.6047 data_time: 0.0215 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.5489 prec@thr=0.5: 0.5489 recall@top3: 0.6494 prec@top3: 0.4138 recall@top5: 0.8448 prec@top5: 0.3310 loss_action_cls: 0.0694 loss: 0.0694 2022/08/08 21:53:55 - mmengine - INFO - Epoch(train) [3][2560/2881] lr: 5.5000e-02 eta: 9:47:41 time: 0.6368 data_time: 0.0224 memory: 13802 grad_norm: 0.1586 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7604 recall@top3: 0.8646 prec@top3: 0.4792 recall@top5: 0.9583 prec@top5: 0.3375 loss_action_cls: 0.0675 loss: 0.0675 2022/08/08 21:54:07 - mmengine - INFO - Epoch(train) [3][2580/2881] lr: 5.5000e-02 eta: 9:47:15 time: 0.6199 data_time: 0.0287 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.7500 recall@top3: 0.7862 prec@top3: 0.6812 recall@top5: 0.8659 prec@top5: 0.4609 loss_action_cls: 0.0757 loss: 0.0757 2022/08/08 21:54:19 - mmengine - INFO - Epoch(train) [3][2600/2881] lr: 5.5000e-02 eta: 9:46:48 time: 0.6062 data_time: 0.0218 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.8750 recall@top3: 0.8205 prec@top3: 0.7051 recall@top5: 0.9359 prec@top5: 0.4846 loss_action_cls: 0.0640 loss: 0.0640 2022/08/08 21:54:32 - mmengine - INFO - Epoch(train) [3][2620/2881] lr: 5.5000e-02 eta: 9:46:27 time: 0.6542 data_time: 0.0235 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.7768 prec@thr=0.5: 0.7589 recall@top3: 0.8006 prec@top3: 0.5595 recall@top5: 0.9196 prec@top5: 0.4071 loss_action_cls: 0.0555 loss: 0.0555 2022/08/08 21:54:45 - mmengine - INFO - Epoch(train) [3][2640/2881] lr: 5.5000e-02 eta: 9:46:05 time: 0.6532 data_time: 0.0225 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7222 recall@top3: 0.7326 prec@top3: 0.5972 recall@top5: 0.8472 prec@top5: 0.4333 loss_action_cls: 0.0544 loss: 0.0544 2022/08/08 21:54:57 - mmengine - INFO - Epoch(train) [3][2660/2881] lr: 5.5000e-02 eta: 9:45:38 time: 0.6041 data_time: 0.0223 memory: 13802 grad_norm: 0.1551 recall@thr=0.5: 0.6911 prec@thr=0.5: 0.8533 recall@top3: 0.7867 prec@top3: 0.8000 recall@top5: 0.9183 prec@top5: 0.5733 loss_action_cls: 0.0611 loss: 0.0611 2022/08/08 21:55:10 - mmengine - INFO - Epoch(train) [3][2680/2881] lr: 5.5000e-02 eta: 9:45:15 time: 0.6414 data_time: 0.0214 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.5825 prec@thr=0.5: 0.6700 recall@top3: 0.7300 prec@top3: 0.6667 recall@top5: 0.8067 prec@top5: 0.4600 loss_action_cls: 0.0602 loss: 0.0602 2022/08/08 21:55:23 - mmengine - INFO - Epoch(train) [3][2700/2881] lr: 5.5000e-02 eta: 9:44:52 time: 0.6363 data_time: 0.0216 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.5682 recall@top3: 0.7348 prec@top3: 0.5303 recall@top5: 0.9091 prec@top5: 0.4091 loss_action_cls: 0.0668 loss: 0.0668 2022/08/08 21:55:36 - mmengine - INFO - Epoch(train) [3][2720/2881] lr: 5.5000e-02 eta: 9:44:28 time: 0.6290 data_time: 0.0214 memory: 13802 grad_norm: 0.1691 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7485 recall@top3: 0.7348 prec@top3: 0.5909 recall@top5: 0.8712 prec@top5: 0.4364 loss_action_cls: 0.0633 loss: 0.0633 2022/08/08 21:55:48 - mmengine - INFO - Epoch(train) [3][2740/2881] lr: 5.5000e-02 eta: 9:44:02 time: 0.6138 data_time: 0.0237 memory: 13802 grad_norm: 0.1605 recall@thr=0.5: 0.5005 prec@thr=0.5: 0.6215 recall@top3: 0.6737 prec@top3: 0.6559 recall@top5: 0.9124 prec@top5: 0.4968 loss_action_cls: 0.0607 loss: 0.0607 2022/08/08 21:56:00 - mmengine - INFO - Epoch(train) [3][2760/2881] lr: 5.5000e-02 eta: 9:43:38 time: 0.6297 data_time: 0.0212 memory: 13802 grad_norm: 0.1543 recall@thr=0.5: 0.5340 prec@thr=0.5: 0.6296 recall@top3: 0.7099 prec@top3: 0.5185 recall@top5: 0.9105 prec@top5: 0.4370 loss_action_cls: 0.0645 loss: 0.0645 2022/08/08 21:56:13 - mmengine - INFO - Epoch(train) [3][2780/2881] lr: 5.5000e-02 eta: 9:43:15 time: 0.6334 data_time: 0.0221 memory: 13802 grad_norm: 0.1593 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.8000 recall@top3: 0.7444 prec@top3: 0.6889 recall@top5: 0.8056 prec@top5: 0.4533 loss_action_cls: 0.0545 loss: 0.0545 2022/08/08 21:56:26 - mmengine - INFO - Epoch(train) [3][2800/2881] lr: 5.5000e-02 eta: 9:42:51 time: 0.6312 data_time: 0.0249 memory: 13802 grad_norm: 0.1601 recall@thr=0.5: 0.6370 prec@thr=0.5: 0.6341 recall@top3: 0.7072 prec@top3: 0.5507 recall@top5: 0.8659 prec@top5: 0.4261 loss_action_cls: 0.0667 loss: 0.0667 2022/08/08 21:56:38 - mmengine - INFO - Epoch(train) [3][2820/2881] lr: 5.5000e-02 eta: 9:42:25 time: 0.6068 data_time: 0.0210 memory: 13802 grad_norm: 0.1501 recall@thr=0.5: 0.3824 prec@thr=0.5: 0.5882 recall@top3: 0.6765 prec@top3: 0.5882 recall@top5: 0.8235 prec@top5: 0.4471 loss_action_cls: 0.0541 loss: 0.0541 2022/08/08 21:56:50 - mmengine - INFO - Epoch(train) [3][2840/2881] lr: 5.5000e-02 eta: 9:42:01 time: 0.6280 data_time: 0.0214 memory: 13802 grad_norm: 0.1457 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.8254 recall@top3: 0.8333 prec@top3: 0.7619 recall@top5: 0.9405 prec@top5: 0.5333 loss_action_cls: 0.0617 loss: 0.0617 2022/08/08 21:57:03 - mmengine - INFO - Epoch(train) [3][2860/2881] lr: 5.5000e-02 eta: 9:41:35 time: 0.6064 data_time: 0.0229 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.7826 recall@top3: 0.7464 prec@top3: 0.4928 recall@top5: 0.8913 prec@top5: 0.3739 loss_action_cls: 0.0672 loss: 0.0672 2022/08/08 21:57:16 - mmengine - INFO - Epoch(train) [3][2880/2881] lr: 5.5000e-02 eta: 9:41:13 time: 0.6467 data_time: 0.0249 memory: 13802 grad_norm: 0.1402 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.7847 recall@top3: 0.8403 prec@top3: 0.6111 recall@top5: 0.9896 prec@top5: 0.4417 loss_action_cls: 0.0683 loss: 0.0683 2022/08/08 21:57:16 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 21:57:16 - mmengine - INFO - Epoch(train) [3][2881/2881] lr: 5.5000e-02 eta: 9:41:13 time: 0.6249 data_time: 0.0250 memory: 13802 grad_norm: 0.1408 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7361 recall@top3: 0.8472 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.5000 loss_action_cls: 0.0682 loss: 0.0682 2022/08/08 21:57:16 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/08 21:57:23 - mmengine - INFO - Epoch(val) [3][20/6282] eta: 0:10:32 time: 0.1010 data_time: 0.0540 memory: 721 2022/08/08 21:57:24 - mmengine - INFO - Epoch(val) [3][40/6282] eta: 0:04:52 time: 0.0469 data_time: 0.0031 memory: 721 2022/08/08 21:57:26 - mmengine - INFO - Epoch(val) [3][60/6282] eta: 0:05:56 time: 0.0574 data_time: 0.0116 memory: 721 2022/08/08 21:57:27 - mmengine - INFO - Epoch(val) [3][80/6282] eta: 0:05:11 time: 0.0502 data_time: 0.0037 memory: 721 2022/08/08 21:57:28 - mmengine - INFO - Epoch(val) [3][100/6282] eta: 0:05:09 time: 0.0500 data_time: 0.0045 memory: 721 2022/08/08 21:57:29 - mmengine - INFO - Epoch(val) [3][120/6282] eta: 0:06:06 time: 0.0594 data_time: 0.0047 memory: 806 2022/08/08 21:57:31 - mmengine - INFO - Epoch(val) [3][140/6282] eta: 0:09:31 time: 0.0930 data_time: 0.0064 memory: 806 2022/08/08 21:57:32 - mmengine - INFO - Epoch(val) [3][160/6282] eta: 0:06:43 time: 0.0660 data_time: 0.0051 memory: 806 2022/08/08 21:57:33 - mmengine - INFO - Epoch(val) [3][180/6282] eta: 0:07:30 time: 0.0738 data_time: 0.0077 memory: 806 2022/08/08 21:57:35 - mmengine - INFO - Epoch(val) [3][200/6282] eta: 0:07:01 time: 0.0693 data_time: 0.0056 memory: 806 2022/08/08 21:57:36 - mmengine - INFO - Epoch(val) [3][220/6282] eta: 0:05:35 time: 0.0553 data_time: 0.0050 memory: 736 2022/08/08 21:57:37 - mmengine - INFO - Epoch(val) [3][240/6282] eta: 0:05:49 time: 0.0578 data_time: 0.0054 memory: 736 2022/08/08 21:57:38 - mmengine - INFO - Epoch(val) [3][260/6282] eta: 0:05:42 time: 0.0568 data_time: 0.0051 memory: 736 2022/08/08 21:57:39 - mmengine - INFO - Epoch(val) [3][280/6282] eta: 0:05:54 time: 0.0590 data_time: 0.0062 memory: 736 2022/08/08 21:57:41 - mmengine - INFO - Epoch(val) [3][300/6282] eta: 0:06:12 time: 0.0623 data_time: 0.0059 memory: 806 2022/08/08 21:57:42 - mmengine - INFO - Epoch(val) [3][320/6282] eta: 0:07:57 time: 0.0801 data_time: 0.0191 memory: 806 2022/08/08 21:57:44 - mmengine - INFO - Epoch(val) [3][340/6282] eta: 0:09:24 time: 0.0950 data_time: 0.0113 memory: 806 2022/08/08 21:57:46 - mmengine - INFO - Epoch(val) [3][360/6282] eta: 0:07:08 time: 0.0724 data_time: 0.0057 memory: 806 2022/08/08 21:57:47 - mmengine - INFO - Epoch(val) [3][380/6282] eta: 0:06:45 time: 0.0687 data_time: 0.0066 memory: 806 2022/08/08 21:57:48 - mmengine - INFO - Epoch(val) [3][400/6282] eta: 0:06:37 time: 0.0675 data_time: 0.0070 memory: 806 2022/08/08 21:57:49 - mmengine - INFO - Epoch(val) [3][420/6282] eta: 0:05:29 time: 0.0561 data_time: 0.0057 memory: 741 2022/08/08 21:57:51 - mmengine - INFO - Epoch(val) [3][440/6282] eta: 0:05:37 time: 0.0578 data_time: 0.0053 memory: 741 2022/08/08 21:57:52 - mmengine - INFO - Epoch(val) [3][460/6282] eta: 0:05:51 time: 0.0604 data_time: 0.0051 memory: 741 2022/08/08 21:57:53 - mmengine - INFO - Epoch(val) [3][480/6282] eta: 0:05:42 time: 0.0590 data_time: 0.0056 memory: 741 2022/08/08 21:57:54 - mmengine - INFO - Epoch(val) [3][500/6282] eta: 0:05:27 time: 0.0567 data_time: 0.0064 memory: 741 2022/08/08 21:57:55 - mmengine - INFO - Epoch(val) [3][520/6282] eta: 0:05:09 time: 0.0537 data_time: 0.0047 memory: 736 2022/08/08 21:57:56 - mmengine - INFO - Epoch(val) [3][540/6282] eta: 0:05:02 time: 0.0527 data_time: 0.0042 memory: 736 2022/08/08 21:57:57 - mmengine - INFO - Epoch(val) [3][560/6282] eta: 0:05:04 time: 0.0533 data_time: 0.0043 memory: 736 2022/08/08 21:57:58 - mmengine - INFO - Epoch(val) [3][580/6282] eta: 0:04:45 time: 0.0500 data_time: 0.0040 memory: 736 2022/08/08 21:57:59 - mmengine - INFO - Epoch(val) [3][600/6282] eta: 0:04:54 time: 0.0519 data_time: 0.0041 memory: 736 2022/08/08 21:58:01 - mmengine - INFO - Epoch(val) [3][620/6282] eta: 0:05:15 time: 0.0557 data_time: 0.0057 memory: 736 2022/08/08 21:58:02 - mmengine - INFO - Epoch(val) [3][640/6282] eta: 0:04:40 time: 0.0497 data_time: 0.0037 memory: 733 2022/08/08 21:58:03 - mmengine - INFO - Epoch(val) [3][660/6282] eta: 0:04:58 time: 0.0531 data_time: 0.0043 memory: 733 2022/08/08 21:58:04 - mmengine - INFO - Epoch(val) [3][680/6282] eta: 0:07:30 time: 0.0804 data_time: 0.0049 memory: 733 2022/08/08 21:58:05 - mmengine - INFO - Epoch(val) [3][700/6282] eta: 0:05:01 time: 0.0540 data_time: 0.0050 memory: 733 2022/08/08 21:58:08 - mmengine - INFO - Epoch(val) [3][720/6282] eta: 0:11:30 time: 0.1242 data_time: 0.0689 memory: 806 2022/08/08 21:58:12 - mmengine - INFO - Epoch(val) [3][740/6282] eta: 0:18:48 time: 0.2035 data_time: 0.1458 memory: 806 2022/08/08 21:58:15 - mmengine - INFO - Epoch(val) [3][760/6282] eta: 0:13:22 time: 0.1454 data_time: 0.0869 memory: 806 2022/08/08 21:58:18 - mmengine - INFO - Epoch(val) [3][780/6282] eta: 0:15:25 time: 0.1682 data_time: 0.1107 memory: 806 2022/08/08 21:58:21 - mmengine - INFO - Epoch(val) [3][800/6282] eta: 0:11:54 time: 0.1303 data_time: 0.0620 memory: 806 2022/08/08 21:58:22 - mmengine - INFO - Epoch(val) [3][820/6282] eta: 0:08:00 time: 0.0880 data_time: 0.0295 memory: 806 2022/08/08 21:58:24 - mmengine - INFO - Epoch(val) [3][840/6282] eta: 0:06:39 time: 0.0735 data_time: 0.0054 memory: 736 2022/08/08 21:58:25 - mmengine - INFO - Epoch(val) [3][860/6282] eta: 0:04:49 time: 0.0534 data_time: 0.0038 memory: 736 2022/08/08 21:58:26 - mmengine - INFO - Epoch(val) [3][880/6282] eta: 0:05:03 time: 0.0562 data_time: 0.0054 memory: 736 2022/08/08 21:58:27 - mmengine - INFO - Epoch(val) [3][900/6282] eta: 0:04:58 time: 0.0555 data_time: 0.0045 memory: 736 2022/08/08 21:58:28 - mmengine - INFO - Epoch(val) [3][920/6282] eta: 0:05:02 time: 0.0564 data_time: 0.0056 memory: 736 2022/08/08 21:58:29 - mmengine - INFO - Epoch(val) [3][940/6282] eta: 0:04:39 time: 0.0524 data_time: 0.0045 memory: 721 2022/08/08 21:58:31 - mmengine - INFO - Epoch(val) [3][960/6282] eta: 0:04:54 time: 0.0553 data_time: 0.0051 memory: 721 2022/08/08 21:58:32 - mmengine - INFO - Epoch(val) [3][980/6282] eta: 0:04:39 time: 0.0527 data_time: 0.0044 memory: 721 2022/08/08 21:58:33 - mmengine - INFO - Epoch(val) [3][1000/6282] eta: 0:04:47 time: 0.0544 data_time: 0.0047 memory: 721 2022/08/08 21:58:34 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:05:06 time: 0.0582 data_time: 0.0054 memory: 736 2022/08/08 21:58:35 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:04:46 time: 0.0547 data_time: 0.0044 memory: 736 2022/08/08 21:58:36 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:04:55 time: 0.0567 data_time: 0.0054 memory: 736 2022/08/08 21:58:37 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:04:59 time: 0.0576 data_time: 0.0052 memory: 736 2022/08/08 21:58:38 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:04:58 time: 0.0576 data_time: 0.0049 memory: 736 2022/08/08 21:58:40 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:05:03 time: 0.0587 data_time: 0.0053 memory: 736 2022/08/08 21:58:41 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:05:01 time: 0.0587 data_time: 0.0054 memory: 736 2022/08/08 21:58:42 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:04:37 time: 0.0542 data_time: 0.0044 memory: 736 2022/08/08 21:58:43 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:06:20 time: 0.0746 data_time: 0.0062 memory: 736 2022/08/08 21:58:44 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:04:32 time: 0.0537 data_time: 0.0048 memory: 736 2022/08/08 21:58:45 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:04:24 time: 0.0523 data_time: 0.0048 memory: 736 2022/08/08 21:58:49 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:13:38 time: 0.1624 data_time: 0.1040 memory: 806 2022/08/08 21:58:52 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:11:43 time: 0.1401 data_time: 0.0818 memory: 806 2022/08/08 21:58:55 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:15:04 time: 0.1808 data_time: 0.1147 memory: 806 2022/08/08 21:58:58 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:12:38 time: 0.1523 data_time: 0.0956 memory: 806 2022/08/08 21:59:02 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:14:28 time: 0.1750 data_time: 0.1174 memory: 806 2022/08/08 21:59:05 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:12:15 time: 0.1488 data_time: 0.0707 memory: 806 2022/08/08 21:59:08 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:14:01 time: 0.1709 data_time: 0.1146 memory: 806 2022/08/08 21:59:11 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:12:28 time: 0.1526 data_time: 0.0956 memory: 806 2022/08/08 21:59:14 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:12:08 time: 0.1493 data_time: 0.0741 memory: 806 2022/08/08 21:59:17 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:11:08 time: 0.1375 data_time: 0.0775 memory: 806 2022/08/08 21:59:19 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:07:47 time: 0.0965 data_time: 0.0366 memory: 806 2022/08/08 21:59:20 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:05:37 time: 0.0701 data_time: 0.0059 memory: 806 2022/08/08 21:59:22 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:05:25 time: 0.0677 data_time: 0.0068 memory: 806 2022/08/08 21:59:23 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:07:21 time: 0.0922 data_time: 0.0062 memory: 806 2022/08/08 21:59:25 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:05:28 time: 0.0691 data_time: 0.0061 memory: 909 2022/08/08 21:59:26 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:06:22 time: 0.0806 data_time: 0.0066 memory: 909 2022/08/08 21:59:28 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:06:13 time: 0.0791 data_time: 0.0068 memory: 909 2022/08/08 21:59:30 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:06:08 time: 0.0783 data_time: 0.0061 memory: 909 2022/08/08 21:59:31 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:06:17 time: 0.0807 data_time: 0.0071 memory: 909 2022/08/08 21:59:33 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:06:14 time: 0.0803 data_time: 0.0060 memory: 909 2022/08/08 21:59:34 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:05:27 time: 0.0706 data_time: 0.0057 memory: 806 2022/08/08 21:59:35 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:04:45 time: 0.0617 data_time: 0.0043 memory: 806 2022/08/08 21:59:37 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:04:24 time: 0.0575 data_time: 0.0039 memory: 806 2022/08/08 21:59:38 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:04:28 time: 0.0587 data_time: 0.0038 memory: 806 2022/08/08 21:59:39 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:04:27 time: 0.0585 data_time: 0.0040 memory: 806 2022/08/08 21:59:40 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:04:39 time: 0.0616 data_time: 0.0040 memory: 806 2022/08/08 21:59:42 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:04:53 time: 0.0649 data_time: 0.0047 memory: 806 2022/08/08 21:59:43 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:04:55 time: 0.0657 data_time: 0.0060 memory: 806 2022/08/08 21:59:44 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:05:27 time: 0.0730 data_time: 0.0052 memory: 806 2022/08/08 21:59:46 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:04:36 time: 0.0620 data_time: 0.0047 memory: 806 2022/08/08 21:59:47 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:06:26 time: 0.0869 data_time: 0.0273 memory: 806 2022/08/08 21:59:51 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:12:21 time: 0.1676 data_time: 0.1079 memory: 806 2022/08/08 21:59:54 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:10:36 time: 0.1446 data_time: 0.0845 memory: 806 2022/08/08 21:59:57 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:11:56 time: 0.1635 data_time: 0.1064 memory: 806 2022/08/08 21:59:59 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:09:39 time: 0.1329 data_time: 0.0736 memory: 806 2022/08/08 22:00:02 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:09:29 time: 0.1312 data_time: 0.0566 memory: 806 2022/08/08 22:00:03 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:04:11 time: 0.0583 data_time: 0.0064 memory: 741 2022/08/08 22:00:05 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:04:46 time: 0.0665 data_time: 0.0178 memory: 741 2022/08/08 22:00:06 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:03:53 time: 0.0546 data_time: 0.0039 memory: 741 2022/08/08 22:00:07 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:03:58 time: 0.0559 data_time: 0.0049 memory: 741 2022/08/08 22:00:08 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:04:01 time: 0.0570 data_time: 0.0049 memory: 741 2022/08/08 22:00:09 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:03:58 time: 0.0566 data_time: 0.0046 memory: 741 2022/08/08 22:00:10 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:03:55 time: 0.0561 data_time: 0.0056 memory: 741 2022/08/08 22:00:11 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:03:50 time: 0.0551 data_time: 0.0042 memory: 741 2022/08/08 22:00:13 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:04:03 time: 0.0585 data_time: 0.0049 memory: 741 2022/08/08 22:00:14 - mmengine - INFO - Epoch(val) [3][2140/6282] eta: 0:05:49 time: 0.0844 data_time: 0.0053 memory: 741 2022/08/08 22:00:15 - mmengine - INFO - Epoch(val) [3][2160/6282] eta: 0:03:55 time: 0.0572 data_time: 0.0069 memory: 736 2022/08/08 22:00:17 - mmengine - INFO - Epoch(val) [3][2180/6282] eta: 0:03:52 time: 0.0567 data_time: 0.0058 memory: 736 2022/08/08 22:00:18 - mmengine - INFO - Epoch(val) [3][2200/6282] eta: 0:03:49 time: 0.0562 data_time: 0.0055 memory: 736 2022/08/08 22:00:19 - mmengine - INFO - Epoch(val) [3][2220/6282] eta: 0:03:38 time: 0.0537 data_time: 0.0040 memory: 736 2022/08/08 22:00:20 - mmengine - INFO - Epoch(val) [3][2240/6282] eta: 0:03:12 time: 0.0475 data_time: 0.0041 memory: 736 2022/08/08 22:00:21 - mmengine - INFO - Epoch(val) [3][2260/6282] eta: 0:02:58 time: 0.0445 data_time: 0.0031 memory: 741 2022/08/08 22:00:22 - mmengine - INFO - Epoch(val) [3][2280/6282] eta: 0:03:11 time: 0.0478 data_time: 0.0053 memory: 741 2022/08/08 22:00:22 - mmengine - INFO - Epoch(val) [3][2300/6282] eta: 0:02:54 time: 0.0439 data_time: 0.0024 memory: 741 2022/08/08 22:00:23 - mmengine - INFO - Epoch(val) [3][2320/6282] eta: 0:02:55 time: 0.0443 data_time: 0.0029 memory: 741 2022/08/08 22:00:24 - mmengine - INFO - Epoch(val) [3][2340/6282] eta: 0:03:11 time: 0.0487 data_time: 0.0039 memory: 741 2022/08/08 22:00:25 - mmengine - INFO - Epoch(val) [3][2360/6282] eta: 0:03:44 time: 0.0573 data_time: 0.0047 memory: 736 2022/08/08 22:00:27 - mmengine - INFO - Epoch(val) [3][2380/6282] eta: 0:03:42 time: 0.0571 data_time: 0.0055 memory: 736 2022/08/08 22:00:28 - mmengine - INFO - Epoch(val) [3][2400/6282] eta: 0:03:39 time: 0.0566 data_time: 0.0051 memory: 736 2022/08/08 22:00:29 - mmengine - INFO - Epoch(val) [3][2420/6282] eta: 0:03:35 time: 0.0558 data_time: 0.0045 memory: 736 2022/08/08 22:00:30 - mmengine - INFO - Epoch(val) [3][2440/6282] eta: 0:03:49 time: 0.0597 data_time: 0.0055 memory: 736 2022/08/08 22:00:32 - mmengine - INFO - Epoch(val) [3][2460/6282] eta: 0:05:22 time: 0.0844 data_time: 0.0191 memory: 806 2022/08/08 22:00:34 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:07:31 time: 0.1187 data_time: 0.0210 memory: 806 2022/08/08 22:00:36 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:04:46 time: 0.0757 data_time: 0.0094 memory: 806 2022/08/08 22:00:37 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:04:31 time: 0.0722 data_time: 0.0120 memory: 806 2022/08/08 22:00:39 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:07:34 time: 0.1215 data_time: 0.0617 memory: 806 2022/08/08 22:00:43 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:09:32 time: 0.1537 data_time: 0.0948 memory: 806 2022/08/08 22:00:46 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:11:30 time: 0.1864 data_time: 0.1261 memory: 806 2022/08/08 22:00:49 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:09:30 time: 0.1549 data_time: 0.0962 memory: 806 2022/08/08 22:00:54 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:13:18 time: 0.2182 data_time: 0.1304 memory: 806 2022/08/08 22:00:56 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:06:05 time: 0.1002 data_time: 0.0336 memory: 806 2022/08/08 22:00:57 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:04:56 time: 0.0818 data_time: 0.0059 memory: 899 2022/08/08 22:00:59 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:04:57 time: 0.0826 data_time: 0.0074 memory: 899 2022/08/08 22:01:01 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:04:56 time: 0.0828 data_time: 0.0081 memory: 899 2022/08/08 22:01:02 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:04:37 time: 0.0778 data_time: 0.0067 memory: 899 2022/08/08 22:01:04 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:04:50 time: 0.0820 data_time: 0.0100 memory: 899 2022/08/08 22:01:05 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:03:20 time: 0.0570 data_time: 0.0054 memory: 741 2022/08/08 22:01:06 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:03:20 time: 0.0573 data_time: 0.0048 memory: 741 2022/08/08 22:01:07 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:03:32 time: 0.0609 data_time: 0.0053 memory: 741 2022/08/08 22:01:09 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:03:24 time: 0.0592 data_time: 0.0053 memory: 741 2022/08/08 22:01:10 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:03:24 time: 0.0596 data_time: 0.0055 memory: 741 2022/08/08 22:01:11 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:03:47 time: 0.0665 data_time: 0.0114 memory: 806 2022/08/08 22:01:13 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:06:13 time: 0.1099 data_time: 0.0455 memory: 806 2022/08/08 22:01:15 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:04:17 time: 0.0763 data_time: 0.0167 memory: 806 2022/08/08 22:01:16 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:02:58 time: 0.0532 data_time: 0.0028 memory: 806 2022/08/08 22:01:17 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:02:46 time: 0.0499 data_time: 0.0039 memory: 769 2022/08/08 22:01:18 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:03:20 time: 0.0605 data_time: 0.0120 memory: 769 2022/08/08 22:01:19 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:03:29 time: 0.0635 data_time: 0.0140 memory: 769 2022/08/08 22:01:21 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:02:53 time: 0.0529 data_time: 0.0038 memory: 769 2022/08/08 22:01:22 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:03:06 time: 0.0571 data_time: 0.0039 memory: 806 2022/08/08 22:01:23 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:03:39 time: 0.0677 data_time: 0.0139 memory: 806 2022/08/08 22:01:25 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:04:24 time: 0.0819 data_time: 0.0039 memory: 806 2022/08/08 22:01:26 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:03:08 time: 0.0587 data_time: 0.0036 memory: 806 2022/08/08 22:01:27 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:03:07 time: 0.0590 data_time: 0.0054 memory: 806 2022/08/08 22:01:28 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:02:50 time: 0.0539 data_time: 0.0051 memory: 741 2022/08/08 22:01:29 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:03:34 time: 0.0684 data_time: 0.0210 memory: 741 2022/08/08 22:01:31 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:02:55 time: 0.0563 data_time: 0.0047 memory: 741 2022/08/08 22:01:32 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:02:52 time: 0.0556 data_time: 0.0064 memory: 741 2022/08/08 22:01:33 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:03:42 time: 0.0723 data_time: 0.0117 memory: 806 2022/08/08 22:01:35 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:04:51 time: 0.0951 data_time: 0.0360 memory: 806 2022/08/08 22:01:38 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:06:34 time: 0.1298 data_time: 0.0450 memory: 806 2022/08/08 22:01:39 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:03:19 time: 0.0661 data_time: 0.0050 memory: 806 2022/08/08 22:01:40 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:03:06 time: 0.0622 data_time: 0.0053 memory: 806 2022/08/08 22:01:41 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:03:06 time: 0.0627 data_time: 0.0045 memory: 806 2022/08/08 22:01:43 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:02:54 time: 0.0588 data_time: 0.0038 memory: 806 2022/08/08 22:01:44 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:03:49 time: 0.0779 data_time: 0.0194 memory: 806 2022/08/08 22:01:47 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:05:40 time: 0.1165 data_time: 0.0580 memory: 806 2022/08/08 22:01:48 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:03:50 time: 0.0795 data_time: 0.0224 memory: 806 2022/08/08 22:01:50 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:03:22 time: 0.0704 data_time: 0.0212 memory: 736 2022/08/08 22:01:51 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:02:50 time: 0.0596 data_time: 0.0026 memory: 736 2022/08/08 22:01:52 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:02:18 time: 0.0488 data_time: 0.0043 memory: 736 2022/08/08 22:01:53 - mmengine - INFO - Epoch(val) [3][3460/6282] eta: 0:02:45 time: 0.0586 data_time: 0.0103 memory: 736 2022/08/08 22:01:54 - mmengine - INFO - Epoch(val) [3][3480/6282] eta: 0:02:23 time: 0.0511 data_time: 0.0039 memory: 736 2022/08/08 22:01:55 - mmengine - INFO - Epoch(val) [3][3500/6282] eta: 0:02:50 time: 0.0614 data_time: 0.0140 memory: 736 2022/08/08 22:01:56 - mmengine - INFO - Epoch(val) [3][3520/6282] eta: 0:02:07 time: 0.0461 data_time: 0.0029 memory: 736 2022/08/08 22:01:58 - mmengine - INFO - Epoch(val) [3][3540/6282] eta: 0:03:26 time: 0.0753 data_time: 0.0287 memory: 736 2022/08/08 22:01:59 - mmengine - INFO - Epoch(val) [3][3560/6282] eta: 0:02:17 time: 0.0504 data_time: 0.0035 memory: 736 2022/08/08 22:02:00 - mmengine - INFO - Epoch(val) [3][3580/6282] eta: 0:02:22 time: 0.0526 data_time: 0.0034 memory: 786 2022/08/08 22:02:01 - mmengine - INFO - Epoch(val) [3][3600/6282] eta: 0:02:29 time: 0.0557 data_time: 0.0040 memory: 786 2022/08/08 22:02:02 - mmengine - INFO - Epoch(val) [3][3620/6282] eta: 0:02:19 time: 0.0524 data_time: 0.0035 memory: 786 2022/08/08 22:02:03 - mmengine - INFO - Epoch(val) [3][3640/6282] eta: 0:02:40 time: 0.0607 data_time: 0.0056 memory: 786 2022/08/08 22:02:05 - mmengine - INFO - Epoch(val) [3][3660/6282] eta: 0:03:41 time: 0.0846 data_time: 0.0053 memory: 786 2022/08/08 22:02:07 - mmengine - INFO - Epoch(val) [3][3680/6282] eta: 0:04:12 time: 0.0972 data_time: 0.0411 memory: 806 2022/08/08 22:02:08 - mmengine - INFO - Epoch(val) [3][3700/6282] eta: 0:02:55 time: 0.0681 data_time: 0.0077 memory: 806 2022/08/08 22:02:10 - mmengine - INFO - Epoch(val) [3][3720/6282] eta: 0:04:44 time: 0.1110 data_time: 0.0507 memory: 806 2022/08/08 22:02:12 - mmengine - INFO - Epoch(val) [3][3740/6282] eta: 0:03:12 time: 0.0755 data_time: 0.0168 memory: 806 2022/08/08 22:02:13 - mmengine - INFO - Epoch(val) [3][3760/6282] eta: 0:03:33 time: 0.0848 data_time: 0.0270 memory: 806 2022/08/08 22:02:15 - mmengine - INFO - Epoch(val) [3][3780/6282] eta: 0:03:21 time: 0.0805 data_time: 0.0252 memory: 806 2022/08/08 22:02:17 - mmengine - INFO - Epoch(val) [3][3800/6282] eta: 0:03:21 time: 0.0811 data_time: 0.0216 memory: 806 2022/08/08 22:02:18 - mmengine - INFO - Epoch(val) [3][3820/6282] eta: 0:03:33 time: 0.0866 data_time: 0.0242 memory: 806 2022/08/08 22:02:20 - mmengine - INFO - Epoch(val) [3][3840/6282] eta: 0:03:16 time: 0.0807 data_time: 0.0203 memory: 806 2022/08/08 22:02:22 - mmengine - INFO - Epoch(val) [3][3860/6282] eta: 0:03:24 time: 0.0845 data_time: 0.0254 memory: 806 2022/08/08 22:02:24 - mmengine - INFO - Epoch(val) [3][3880/6282] eta: 0:04:46 time: 0.1193 data_time: 0.0423 memory: 806 2022/08/08 22:02:25 - mmengine - INFO - Epoch(val) [3][3900/6282] eta: 0:02:29 time: 0.0627 data_time: 0.0051 memory: 806 2022/08/08 22:02:28 - mmengine - INFO - Epoch(val) [3][3920/6282] eta: 0:04:59 time: 0.1267 data_time: 0.0667 memory: 806 2022/08/08 22:02:30 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:03:57 time: 0.1014 data_time: 0.0480 memory: 806 2022/08/08 22:02:32 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:03:08 time: 0.0813 data_time: 0.0268 memory: 806 2022/08/08 22:02:33 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:02:09 time: 0.0562 data_time: 0.0029 memory: 806 2022/08/08 22:02:35 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:03:19 time: 0.0874 data_time: 0.0283 memory: 806 2022/08/08 22:02:36 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:02:10 time: 0.0576 data_time: 0.0039 memory: 806 2022/08/08 22:02:37 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:03:17 time: 0.0883 data_time: 0.0320 memory: 899 2022/08/08 22:02:39 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:02:28 time: 0.0670 data_time: 0.0032 memory: 899 2022/08/08 22:02:41 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:03:11 time: 0.0868 data_time: 0.0039 memory: 899 2022/08/08 22:02:43 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:04:05 time: 0.1123 data_time: 0.0488 memory: 899 2022/08/08 22:02:44 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:02:52 time: 0.0796 data_time: 0.0111 memory: 899 2022/08/08 22:02:46 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:02:27 time: 0.0688 data_time: 0.0128 memory: 899 2022/08/08 22:02:47 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:01:53 time: 0.0534 data_time: 0.0078 memory: 736 2022/08/08 22:02:49 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:03:06 time: 0.0889 data_time: 0.0388 memory: 736 2022/08/08 22:02:50 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:01:41 time: 0.0489 data_time: 0.0036 memory: 736 2022/08/08 22:02:51 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:01:37 time: 0.0471 data_time: 0.0042 memory: 736 2022/08/08 22:02:52 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:01:52 time: 0.0553 data_time: 0.0108 memory: 736 2022/08/08 22:02:53 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:02:24 time: 0.0715 data_time: 0.0049 memory: 735 2022/08/08 22:02:54 - mmengine - INFO - Epoch(val) [3][4280/6282] eta: 0:01:54 time: 0.0570 data_time: 0.0070 memory: 735 2022/08/08 22:02:57 - mmengine - INFO - Epoch(val) [3][4300/6282] eta: 0:04:02 time: 0.1223 data_time: 0.0800 memory: 735 2022/08/08 22:02:59 - mmengine - INFO - Epoch(val) [3][4320/6282] eta: 0:03:17 time: 0.1004 data_time: 0.0576 memory: 735 2022/08/08 22:03:00 - mmengine - INFO - Epoch(val) [3][4340/6282] eta: 0:01:27 time: 0.0451 data_time: 0.0023 memory: 735 2022/08/08 22:03:01 - mmengine - INFO - Epoch(val) [3][4360/6282] eta: 0:01:52 time: 0.0586 data_time: 0.0035 memory: 806 2022/08/08 22:03:02 - mmengine - INFO - Epoch(val) [3][4380/6282] eta: 0:02:04 time: 0.0657 data_time: 0.0104 memory: 806 2022/08/08 22:03:04 - mmengine - INFO - Epoch(val) [3][4400/6282] eta: 0:02:45 time: 0.0881 data_time: 0.0098 memory: 806 2022/08/08 22:03:05 - mmengine - INFO - Epoch(val) [3][4420/6282] eta: 0:01:52 time: 0.0603 data_time: 0.0041 memory: 806 2022/08/08 22:03:06 - mmengine - INFO - Epoch(val) [3][4440/6282] eta: 0:01:48 time: 0.0588 data_time: 0.0037 memory: 814 2022/08/08 22:03:07 - mmengine - INFO - Epoch(val) [3][4460/6282] eta: 0:01:46 time: 0.0587 data_time: 0.0038 memory: 814 2022/08/08 22:03:09 - mmengine - INFO - Epoch(val) [3][4480/6282] eta: 0:02:07 time: 0.0705 data_time: 0.0162 memory: 814 2022/08/08 22:03:10 - mmengine - INFO - Epoch(val) [3][4500/6282] eta: 0:01:47 time: 0.0605 data_time: 0.0042 memory: 814 2022/08/08 22:03:11 - mmengine - INFO - Epoch(val) [3][4520/6282] eta: 0:01:45 time: 0.0600 data_time: 0.0043 memory: 814 2022/08/08 22:03:12 - mmengine - INFO - Epoch(val) [3][4540/6282] eta: 0:01:30 time: 0.0520 data_time: 0.0045 memory: 742 2022/08/08 22:03:13 - mmengine - INFO - Epoch(val) [3][4560/6282] eta: 0:01:46 time: 0.0620 data_time: 0.0151 memory: 742 2022/08/08 22:03:15 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:40 time: 0.0591 data_time: 0.0152 memory: 742 2022/08/08 22:03:16 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:28 time: 0.0528 data_time: 0.0089 memory: 742 2022/08/08 22:03:17 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:02:08 time: 0.0775 data_time: 0.0333 memory: 742 2022/08/08 22:03:19 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:47 time: 0.0652 data_time: 0.0051 memory: 814 2022/08/08 22:03:20 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:02:02 time: 0.0757 data_time: 0.0198 memory: 814 2022/08/08 22:03:21 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:48 time: 0.0680 data_time: 0.0132 memory: 814 2022/08/08 22:03:23 - mmengine - INFO - Epoch(val) [3][4700/6282] eta: 0:02:12 time: 0.0836 data_time: 0.0048 memory: 814 2022/08/08 22:03:25 - mmengine - INFO - Epoch(val) [3][4720/6282] eta: 0:02:05 time: 0.0804 data_time: 0.0260 memory: 814 2022/08/08 22:03:26 - mmengine - INFO - Epoch(val) [3][4740/6282] eta: 0:01:20 time: 0.0524 data_time: 0.0047 memory: 766 2022/08/08 22:03:27 - mmengine - INFO - Epoch(val) [3][4760/6282] eta: 0:01:47 time: 0.0705 data_time: 0.0222 memory: 766 2022/08/08 22:03:28 - mmengine - INFO - Epoch(val) [3][4780/6282] eta: 0:01:33 time: 0.0620 data_time: 0.0160 memory: 766 2022/08/08 22:03:29 - mmengine - INFO - Epoch(val) [3][4800/6282] eta: 0:01:14 time: 0.0502 data_time: 0.0038 memory: 766 2022/08/08 22:03:31 - mmengine - INFO - Epoch(val) [3][4820/6282] eta: 0:01:45 time: 0.0720 data_time: 0.0216 memory: 806 2022/08/08 22:03:32 - mmengine - INFO - Epoch(val) [3][4840/6282] eta: 0:01:48 time: 0.0750 data_time: 0.0189 memory: 806 2022/08/08 22:03:34 - mmengine - INFO - Epoch(val) [3][4860/6282] eta: 0:02:18 time: 0.0976 data_time: 0.0178 memory: 806 2022/08/08 22:03:36 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:23 time: 0.0595 data_time: 0.0035 memory: 806 2022/08/08 22:03:37 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:25 time: 0.0617 data_time: 0.0072 memory: 806 2022/08/08 22:03:39 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:02:05 time: 0.0924 data_time: 0.0391 memory: 809 2022/08/08 22:03:40 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:01:35 time: 0.0711 data_time: 0.0156 memory: 809 2022/08/08 22:03:42 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:34 time: 0.0716 data_time: 0.0169 memory: 809 2022/08/08 22:03:43 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:02:06 time: 0.0970 data_time: 0.0407 memory: 809 2022/08/08 22:03:45 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:01:19 time: 0.0617 data_time: 0.0090 memory: 809 2022/08/08 22:03:46 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:01:52 time: 0.0891 data_time: 0.0135 memory: 809 2022/08/08 22:03:48 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:01:05 time: 0.0526 data_time: 0.0041 memory: 741 2022/08/08 22:03:49 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:01:55 time: 0.0944 data_time: 0.0491 memory: 741 2022/08/08 22:03:50 - mmengine - INFO - Epoch(val) [3][5080/6282] eta: 0:01:01 time: 0.0512 data_time: 0.0090 memory: 741 2022/08/08 22:03:52 - mmengine - INFO - Epoch(val) [3][5100/6282] eta: 0:01:32 time: 0.0779 data_time: 0.0326 memory: 741 2022/08/08 22:03:54 - mmengine - INFO - Epoch(val) [3][5120/6282] eta: 0:02:08 time: 0.1104 data_time: 0.0675 memory: 741 2022/08/08 22:03:56 - mmengine - INFO - Epoch(val) [3][5140/6282] eta: 0:01:16 time: 0.0671 data_time: 0.0238 memory: 736 2022/08/08 22:03:57 - mmengine - INFO - Epoch(val) [3][5160/6282] eta: 0:01:44 time: 0.0932 data_time: 0.0471 memory: 736 2022/08/08 22:03:59 - mmengine - INFO - Epoch(val) [3][5180/6282] eta: 0:01:28 time: 0.0801 data_time: 0.0288 memory: 736 2022/08/08 22:04:00 - mmengine - INFO - Epoch(val) [3][5200/6282] eta: 0:00:52 time: 0.0488 data_time: 0.0033 memory: 736 2022/08/08 22:04:01 - mmengine - INFO - Epoch(val) [3][5220/6282] eta: 0:00:52 time: 0.0493 data_time: 0.0038 memory: 736 2022/08/08 22:04:02 - mmengine - INFO - Epoch(val) [3][5240/6282] eta: 0:00:55 time: 0.0536 data_time: 0.0108 memory: 735 2022/08/08 22:04:03 - mmengine - INFO - Epoch(val) [3][5260/6282] eta: 0:01:05 time: 0.0644 data_time: 0.0196 memory: 735 2022/08/08 22:04:05 - mmengine - INFO - Epoch(val) [3][5280/6282] eta: 0:01:00 time: 0.0599 data_time: 0.0130 memory: 735 2022/08/08 22:04:06 - mmengine - INFO - Epoch(val) [3][5300/6282] eta: 0:00:49 time: 0.0499 data_time: 0.0087 memory: 735 2022/08/08 22:04:07 - mmengine - INFO - Epoch(val) [3][5320/6282] eta: 0:01:14 time: 0.0774 data_time: 0.0367 memory: 736 2022/08/08 22:04:09 - mmengine - INFO - Epoch(val) [3][5340/6282] eta: 0:01:17 time: 0.0828 data_time: 0.0401 memory: 736 2022/08/08 22:04:11 - mmengine - INFO - Epoch(val) [3][5360/6282] eta: 0:01:25 time: 0.0929 data_time: 0.0491 memory: 736 2022/08/08 22:04:12 - mmengine - INFO - Epoch(val) [3][5380/6282] eta: 0:01:00 time: 0.0665 data_time: 0.0244 memory: 736 2022/08/08 22:04:13 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:00:48 time: 0.0545 data_time: 0.0117 memory: 736 2022/08/08 22:04:14 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:49 time: 0.0576 data_time: 0.0147 memory: 736 2022/08/08 22:04:16 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:01:03 time: 0.0753 data_time: 0.0304 memory: 736 2022/08/08 22:04:17 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:53 time: 0.0655 data_time: 0.0183 memory: 736 2022/08/08 22:04:18 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:38 time: 0.0481 data_time: 0.0035 memory: 736 2022/08/08 22:04:19 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:43 time: 0.0558 data_time: 0.0119 memory: 736 2022/08/08 22:04:21 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:01:19 time: 0.1039 data_time: 0.0318 memory: 761 2022/08/08 22:04:23 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:01:18 time: 0.1057 data_time: 0.0583 memory: 761 2022/08/08 22:04:25 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:53 time: 0.0744 data_time: 0.0288 memory: 761 2022/08/08 22:04:26 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:00:44 time: 0.0639 data_time: 0.0138 memory: 761 2022/08/08 22:04:28 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:01:20 time: 0.1179 data_time: 0.0730 memory: 761 2022/08/08 22:04:30 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:00:47 time: 0.0715 data_time: 0.0289 memory: 761 2022/08/08 22:04:31 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:00:33 time: 0.0519 data_time: 0.0096 memory: 736 2022/08/08 22:04:32 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:29 time: 0.0480 data_time: 0.0031 memory: 736 2022/08/08 22:04:33 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:37 time: 0.0622 data_time: 0.0185 memory: 736 2022/08/08 22:04:35 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:45 time: 0.0778 data_time: 0.0041 memory: 736 2022/08/08 22:04:36 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:42 time: 0.0750 data_time: 0.0282 memory: 777 2022/08/08 22:04:37 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:33 time: 0.0623 data_time: 0.0120 memory: 777 2022/08/08 22:04:39 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:41 time: 0.0789 data_time: 0.0315 memory: 777 2022/08/08 22:04:41 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:38 time: 0.0760 data_time: 0.0285 memory: 777 2022/08/08 22:04:42 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:24 time: 0.0518 data_time: 0.0037 memory: 777 2022/08/08 22:04:43 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:29 time: 0.0632 data_time: 0.0159 memory: 777 2022/08/08 22:04:44 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:24 time: 0.0547 data_time: 0.0042 memory: 761 2022/08/08 22:04:45 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:23 time: 0.0552 data_time: 0.0059 memory: 761 2022/08/08 22:04:47 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:46 time: 0.1160 data_time: 0.0453 memory: 761 2022/08/08 22:04:49 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:00:25 time: 0.0655 data_time: 0.0186 memory: 761 2022/08/08 22:04:50 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:00:19 time: 0.0534 data_time: 0.0051 memory: 761 2022/08/08 22:04:51 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:17 time: 0.0513 data_time: 0.0099 memory: 736 2022/08/08 22:04:52 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:16 time: 0.0502 data_time: 0.0060 memory: 736 2022/08/08 22:04:53 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:00:20 time: 0.0679 data_time: 0.0193 memory: 736 2022/08/08 22:04:55 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:23 time: 0.0845 data_time: 0.0308 memory: 806 2022/08/08 22:04:56 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:17 time: 0.0659 data_time: 0.0093 memory: 806 2022/08/08 22:04:57 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:15 time: 0.0622 data_time: 0.0077 memory: 806 2022/08/08 22:04:59 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:13 time: 0.0622 data_time: 0.0037 memory: 806 2022/08/08 22:05:01 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:00:22 time: 0.1129 data_time: 0.0491 memory: 806 2022/08/08 22:05:02 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:11 time: 0.0654 data_time: 0.0055 memory: 806 2022/08/08 22:05:04 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:16 time: 0.1011 data_time: 0.0423 memory: 806 2022/08/08 22:05:06 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:13 time: 0.0936 data_time: 0.0332 memory: 806 2022/08/08 22:05:08 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:11 time: 0.0910 data_time: 0.0301 memory: 806 2022/08/08 22:05:10 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:08 time: 0.0828 data_time: 0.0295 memory: 806 2022/08/08 22:05:11 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:04 time: 0.0578 data_time: 0.0048 memory: 806 2022/08/08 22:05:12 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:03 time: 0.0557 data_time: 0.0033 memory: 806 2022/08/08 22:05:13 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:02 time: 0.0641 data_time: 0.0102 memory: 806 2022/08/08 22:05:15 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:01 time: 0.0768 data_time: 0.0074 memory: 806 2022/08/08 22:05:16 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0568 data_time: 0.0033 memory: 806 2022/08/08 22:10:22 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2338 2022/08/08 22:10:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2022/08/08 22:10:29 - mmengine - INFO - The best checkpoint with 0.2338 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2022/08/08 22:10:50 - mmengine - INFO - Epoch(train) [4][20/2881] lr: 7.7500e-02 eta: 9:41:31 time: 1.0408 data_time: 0.2868 memory: 13802 grad_norm: 0.1502 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7750 recall@top3: 0.8250 prec@top3: 0.6833 recall@top5: 0.9750 prec@top5: 0.4900 loss_action_cls: 0.0638 loss: 0.0638 2022/08/08 22:11:16 - mmengine - INFO - Epoch(train) [4][40/2881] lr: 7.7500e-02 eta: 9:42:27 time: 1.3300 data_time: 0.1068 memory: 13802 grad_norm: 0.1455 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.7708 recall@top3: 0.7847 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4750 loss_action_cls: 0.0546 loss: 0.0546 2022/08/08 22:11:33 - mmengine - INFO - Epoch(train) [4][60/2881] lr: 7.7500e-02 eta: 9:42:28 time: 0.8518 data_time: 0.0225 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.7065 prec@thr=0.5: 0.9275 recall@top3: 0.8732 prec@top3: 0.7246 recall@top5: 0.9710 prec@top5: 0.4957 loss_action_cls: 0.0611 loss: 0.0611 2022/08/08 22:12:03 - mmengine - INFO - Epoch(train) [4][80/2881] lr: 7.7500e-02 eta: 9:43:41 time: 1.4934 data_time: 0.0234 memory: 13802 grad_norm: 0.1578 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.7727 recall@top3: 0.8371 prec@top3: 0.6818 recall@top5: 0.9242 prec@top5: 0.4636 loss_action_cls: 0.0558 loss: 0.0558 2022/08/08 22:12:26 - mmengine - INFO - Epoch(train) [4][100/2881] lr: 7.7500e-02 eta: 9:44:12 time: 1.1216 data_time: 0.0220 memory: 13802 grad_norm: 0.1564 recall@thr=0.5: 0.7123 prec@thr=0.5: 0.9167 recall@top3: 0.7638 prec@top3: 0.8406 recall@top5: 0.9051 prec@top5: 0.6087 loss_action_cls: 0.0611 loss: 0.0611 2022/08/08 22:12:44 - mmengine - INFO - Epoch(train) [4][120/2881] lr: 7.7500e-02 eta: 9:44:21 time: 0.9262 data_time: 0.0228 memory: 13802 grad_norm: 0.1629 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.7544 recall@top3: 0.7632 prec@top3: 0.5263 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0547 loss: 0.0547 2022/08/08 22:12:58 - mmengine - INFO - Epoch(train) [4][140/2881] lr: 7.7500e-02 eta: 9:44:04 time: 0.6987 data_time: 0.0253 memory: 13802 grad_norm: 0.1626 recall@thr=0.5: 0.6512 prec@thr=0.5: 0.6543 recall@top3: 0.7346 prec@top3: 0.5432 recall@top5: 0.8951 prec@top5: 0.4000 loss_action_cls: 0.0636 loss: 0.0636 2022/08/08 22:13:23 - mmengine - INFO - Epoch(train) [4][160/2881] lr: 7.7500e-02 eta: 9:44:50 time: 1.2568 data_time: 0.0212 memory: 13802 grad_norm: 0.1723 recall@thr=0.5: 0.5198 prec@thr=0.5: 0.5238 recall@top3: 0.6405 prec@top3: 0.5397 recall@top5: 0.8690 prec@top5: 0.4571 loss_action_cls: 0.0656 loss: 0.0656 2022/08/08 22:13:37 - mmengine - INFO - Epoch(train) [4][180/2881] lr: 7.7500e-02 eta: 9:44:33 time: 0.6990 data_time: 0.0222 memory: 13802 grad_norm: 0.1781 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8532 recall@top3: 0.8651 prec@top3: 0.7460 recall@top5: 0.9603 prec@top5: 0.5143 loss_action_cls: 0.0615 loss: 0.0615 2022/08/08 22:14:00 - mmengine - INFO - Epoch(train) [4][200/2881] lr: 7.7500e-02 eta: 9:45:04 time: 1.1326 data_time: 0.0239 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.5994 prec@thr=0.5: 0.5256 recall@top3: 0.6699 prec@top3: 0.5256 recall@top5: 0.8333 prec@top5: 0.4077 loss_action_cls: 0.0584 loss: 0.0584 2022/08/08 22:14:16 - mmengine - INFO - Epoch(train) [4][220/2881] lr: 7.7500e-02 eta: 9:45:01 time: 0.8198 data_time: 0.0223 memory: 13802 grad_norm: 0.1896 recall@thr=0.5: 0.6489 prec@thr=0.5: 0.7472 recall@top3: 0.7267 prec@top3: 0.7111 recall@top5: 0.8456 prec@top5: 0.5133 loss_action_cls: 0.0611 loss: 0.0611 2022/08/08 22:14:35 - mmengine - INFO - Epoch(train) [4][240/2881] lr: 7.7500e-02 eta: 9:45:13 time: 0.9577 data_time: 0.0260 memory: 13802 grad_norm: 0.1715 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.7368 recall@top3: 0.8421 prec@top3: 0.6316 recall@top5: 0.9035 prec@top5: 0.4105 loss_action_cls: 0.0505 loss: 0.0505 2022/08/08 22:14:49 - mmengine - INFO - Epoch(train) [4][260/2881] lr: 7.7500e-02 eta: 9:44:52 time: 0.6631 data_time: 0.0192 memory: 13802 grad_norm: 0.1578 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.9123 recall@top3: 0.8158 prec@top3: 0.7544 recall@top5: 1.0000 prec@top5: 0.5684 loss_action_cls: 0.0678 loss: 0.0678 2022/08/08 22:15:01 - mmengine - INFO - Epoch(train) [4][280/2881] lr: 7.7500e-02 eta: 9:44:28 time: 0.6299 data_time: 0.0234 memory: 13802 grad_norm: 0.1559 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7202 recall@top3: 0.7411 prec@top3: 0.5714 recall@top5: 0.9018 prec@top5: 0.4143 loss_action_cls: 0.0618 loss: 0.0618 2022/08/08 22:15:14 - mmengine - INFO - Epoch(train) [4][300/2881] lr: 7.7500e-02 eta: 9:44:04 time: 0.6337 data_time: 0.0255 memory: 13802 grad_norm: 0.1550 recall@thr=0.5: 0.7773 prec@thr=0.5: 0.7803 recall@top3: 0.7894 prec@top3: 0.6364 recall@top5: 0.9439 prec@top5: 0.4818 loss_action_cls: 0.0679 loss: 0.0679 2022/08/08 22:15:27 - mmengine - INFO - Epoch(train) [4][320/2881] lr: 7.7500e-02 eta: 9:43:42 time: 0.6457 data_time: 0.0218 memory: 13802 grad_norm: 0.1597 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8596 recall@top3: 0.9298 prec@top3: 0.6667 recall@top5: 0.9649 prec@top5: 0.4211 loss_action_cls: 0.0514 loss: 0.0514 2022/08/08 22:15:40 - mmengine - INFO - Epoch(train) [4][340/2881] lr: 7.7500e-02 eta: 9:43:18 time: 0.6334 data_time: 0.0254 memory: 13802 grad_norm: 0.1622 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.8043 recall@top3: 0.8551 prec@top3: 0.5942 recall@top5: 0.9710 prec@top5: 0.4174 loss_action_cls: 0.0549 loss: 0.0549 2022/08/08 22:15:50 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 22:15:52 - mmengine - INFO - Epoch(train) [4][360/2881] lr: 7.7500e-02 eta: 9:42:51 time: 0.6029 data_time: 0.0205 memory: 13802 grad_norm: 0.1458 recall@thr=0.5: 0.5309 prec@thr=0.5: 0.6852 recall@top3: 0.8025 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.4148 loss_action_cls: 0.0529 loss: 0.0529 2022/08/08 22:16:04 - mmengine - INFO - Epoch(train) [4][380/2881] lr: 7.7500e-02 eta: 9:42:27 time: 0.6340 data_time: 0.0234 memory: 13802 grad_norm: 0.1524 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7037 recall@top3: 0.7685 prec@top3: 0.4630 recall@top5: 0.8333 prec@top5: 0.3111 loss_action_cls: 0.0547 loss: 0.0547 2022/08/08 22:16:17 - mmengine - INFO - Epoch(train) [4][400/2881] lr: 7.7500e-02 eta: 9:42:05 time: 0.6455 data_time: 0.0212 memory: 13802 grad_norm: 0.1799 recall@thr=0.5: 0.4106 prec@thr=0.5: 0.5227 recall@top3: 0.5955 prec@top3: 0.4091 recall@top5: 0.7773 prec@top5: 0.3182 loss_action_cls: 0.0613 loss: 0.0613 2022/08/08 22:16:29 - mmengine - INFO - Epoch(train) [4][420/2881] lr: 7.7500e-02 eta: 9:41:39 time: 0.6077 data_time: 0.0217 memory: 13802 grad_norm: 0.1596 recall@thr=0.5: 0.5036 prec@thr=0.5: 0.6522 recall@top3: 0.6812 prec@top3: 0.4493 recall@top5: 0.9203 prec@top5: 0.3652 loss_action_cls: 0.0737 loss: 0.0737 2022/08/08 22:16:42 - mmengine - INFO - Epoch(train) [4][440/2881] lr: 7.7500e-02 eta: 9:41:15 time: 0.6311 data_time: 0.0211 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8158 recall@top3: 0.8596 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0568 loss: 0.0568 2022/08/08 22:16:54 - mmengine - INFO - Epoch(train) [4][460/2881] lr: 7.7500e-02 eta: 9:40:49 time: 0.6117 data_time: 0.0214 memory: 13802 grad_norm: 0.1646 recall@thr=0.5: 0.3889 prec@thr=0.5: 0.4954 recall@top3: 0.5602 prec@top3: 0.5000 recall@top5: 0.8009 prec@top5: 0.4222 loss_action_cls: 0.0566 loss: 0.0566 2022/08/08 22:17:07 - mmengine - INFO - Epoch(train) [4][480/2881] lr: 7.7500e-02 eta: 9:40:24 time: 0.6182 data_time: 0.0244 memory: 13802 grad_norm: 0.1493 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6926 recall@top3: 0.8056 prec@top3: 0.6481 recall@top5: 0.9630 prec@top5: 0.4778 loss_action_cls: 0.0552 loss: 0.0552 2022/08/08 22:17:19 - mmengine - INFO - Epoch(train) [4][500/2881] lr: 7.7500e-02 eta: 9:40:01 time: 0.6314 data_time: 0.0236 memory: 13802 grad_norm: 0.1478 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.6786 recall@top3: 0.9127 prec@top3: 0.5873 recall@top5: 0.9405 prec@top5: 0.3714 loss_action_cls: 0.0577 loss: 0.0577 2022/08/08 22:17:31 - mmengine - INFO - Epoch(train) [4][520/2881] lr: 7.7500e-02 eta: 9:39:34 time: 0.6031 data_time: 0.0192 memory: 13802 grad_norm: 0.1548 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.9295 recall@top3: 0.8205 prec@top3: 0.7949 recall@top5: 0.9551 prec@top5: 0.5692 loss_action_cls: 0.0611 loss: 0.0611 2022/08/08 22:17:44 - mmengine - INFO - Epoch(train) [4][540/2881] lr: 7.7500e-02 eta: 9:39:11 time: 0.6355 data_time: 0.0249 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.6477 recall@top3: 0.7576 prec@top3: 0.5455 recall@top5: 0.9015 prec@top5: 0.4091 loss_action_cls: 0.0594 loss: 0.0594 2022/08/08 22:17:57 - mmengine - INFO - Epoch(train) [4][560/2881] lr: 7.7500e-02 eta: 9:38:48 time: 0.6304 data_time: 0.0218 memory: 13802 grad_norm: 0.1617 recall@thr=0.5: 0.3981 prec@thr=0.5: 0.5278 recall@top3: 0.7500 prec@top3: 0.5370 recall@top5: 0.7685 prec@top5: 0.3333 loss_action_cls: 0.0604 loss: 0.0604 2022/08/08 22:18:09 - mmengine - INFO - Epoch(train) [4][580/2881] lr: 7.7500e-02 eta: 9:38:21 time: 0.6030 data_time: 0.0219 memory: 13802 grad_norm: 0.1625 recall@thr=0.5: 0.4067 prec@thr=0.5: 0.4800 recall@top3: 0.5867 prec@top3: 0.5067 recall@top5: 0.6800 prec@top5: 0.3360 loss_action_cls: 0.0616 loss: 0.0616 2022/08/08 22:18:21 - mmengine - INFO - Epoch(train) [4][600/2881] lr: 7.7500e-02 eta: 9:37:57 time: 0.6264 data_time: 0.0227 memory: 13802 grad_norm: 0.1585 recall@thr=0.5: 0.4928 prec@thr=0.5: 0.7101 recall@top3: 0.7609 prec@top3: 0.6232 recall@top5: 0.9420 prec@top5: 0.4522 loss_action_cls: 0.0648 loss: 0.0648 2022/08/08 22:18:33 - mmengine - INFO - Epoch(train) [4][620/2881] lr: 7.7500e-02 eta: 9:37:31 time: 0.6044 data_time: 0.0199 memory: 13802 grad_norm: 0.1636 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8373 recall@top3: 0.8175 prec@top3: 0.7143 recall@top5: 0.9722 prec@top5: 0.5238 loss_action_cls: 0.0646 loss: 0.0646 2022/08/08 22:18:46 - mmengine - INFO - Epoch(train) [4][640/2881] lr: 7.7500e-02 eta: 9:37:09 time: 0.6400 data_time: 0.0229 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7754 recall@top3: 0.8188 prec@top3: 0.6087 recall@top5: 0.9565 prec@top5: 0.4435 loss_action_cls: 0.0608 loss: 0.0608 2022/08/08 22:18:59 - mmengine - INFO - Epoch(train) [4][660/2881] lr: 7.7500e-02 eta: 9:36:46 time: 0.6332 data_time: 0.0216 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.6278 recall@top3: 0.8333 prec@top3: 0.6444 recall@top5: 0.9611 prec@top5: 0.4267 loss_action_cls: 0.0606 loss: 0.0606 2022/08/08 22:19:11 - mmengine - INFO - Epoch(train) [4][680/2881] lr: 7.7500e-02 eta: 9:36:20 time: 0.6065 data_time: 0.0221 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.7716 recall@top3: 0.8025 prec@top3: 0.6667 recall@top5: 0.9660 prec@top5: 0.4889 loss_action_cls: 0.0628 loss: 0.0628 2022/08/08 22:19:23 - mmengine - INFO - Epoch(train) [4][700/2881] lr: 7.7500e-02 eta: 9:35:57 time: 0.6292 data_time: 0.0245 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.5067 prec@thr=0.5: 0.8367 recall@top3: 0.6500 prec@top3: 0.6667 recall@top5: 0.8367 prec@top5: 0.5280 loss_action_cls: 0.0625 loss: 0.0625 2022/08/08 22:19:36 - mmengine - INFO - Epoch(train) [4][720/2881] lr: 7.7500e-02 eta: 9:35:35 time: 0.6418 data_time: 0.0245 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7544 recall@top3: 0.7456 prec@top3: 0.4737 recall@top5: 0.9035 prec@top5: 0.3474 loss_action_cls: 0.0545 loss: 0.0545 2022/08/08 22:19:49 - mmengine - INFO - Epoch(train) [4][740/2881] lr: 7.7500e-02 eta: 9:35:12 time: 0.6335 data_time: 0.0242 memory: 13802 grad_norm: 0.1698 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4300 loss_action_cls: 0.0612 loss: 0.0612 2022/08/08 22:20:02 - mmengine - INFO - Epoch(train) [4][760/2881] lr: 7.7500e-02 eta: 9:34:50 time: 0.6358 data_time: 0.0225 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8254 recall@top3: 0.7540 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.5048 loss_action_cls: 0.0545 loss: 0.0545 2022/08/08 22:20:14 - mmengine - INFO - Epoch(train) [4][780/2881] lr: 7.7500e-02 eta: 9:34:27 time: 0.6319 data_time: 0.0230 memory: 13802 grad_norm: 0.1461 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.8188 recall@top3: 0.7862 prec@top3: 0.6232 recall@top5: 0.9022 prec@top5: 0.4348 loss_action_cls: 0.0600 loss: 0.0600 2022/08/08 22:20:27 - mmengine - INFO - Epoch(train) [4][800/2881] lr: 7.7500e-02 eta: 9:34:06 time: 0.6502 data_time: 0.0222 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.6123 prec@thr=0.5: 0.7681 recall@top3: 0.8442 prec@top3: 0.7101 recall@top5: 0.9130 prec@top5: 0.4696 loss_action_cls: 0.0566 loss: 0.0566 2022/08/08 22:20:40 - mmengine - INFO - Epoch(train) [4][820/2881] lr: 7.7500e-02 eta: 9:33:44 time: 0.6349 data_time: 0.0242 memory: 13802 grad_norm: 0.1544 recall@thr=0.5: 0.7825 prec@thr=0.5: 0.8421 recall@top3: 0.7579 prec@top3: 0.5088 recall@top5: 0.8421 prec@top5: 0.3895 loss_action_cls: 0.0513 loss: 0.0513 2022/08/08 22:20:53 - mmengine - INFO - Epoch(train) [4][840/2881] lr: 7.7500e-02 eta: 9:33:21 time: 0.6292 data_time: 0.0211 memory: 13802 grad_norm: 0.1662 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7841 recall@top3: 0.8295 prec@top3: 0.5909 recall@top5: 0.9886 prec@top5: 0.4455 loss_action_cls: 0.0596 loss: 0.0596 2022/08/08 22:21:06 - mmengine - INFO - Epoch(train) [4][860/2881] lr: 7.7500e-02 eta: 9:33:00 time: 0.6491 data_time: 0.0225 memory: 13802 grad_norm: 0.1643 recall@thr=0.5: 0.7841 prec@thr=0.5: 0.9167 recall@top3: 0.7881 prec@top3: 0.7619 recall@top5: 0.9183 prec@top5: 0.5714 loss_action_cls: 0.0625 loss: 0.0625 2022/08/08 22:21:18 - mmengine - INFO - Epoch(train) [4][880/2881] lr: 7.7500e-02 eta: 9:32:36 time: 0.6252 data_time: 0.0213 memory: 13802 grad_norm: 0.1494 recall@thr=0.5: 0.5546 prec@thr=0.5: 0.7356 recall@top3: 0.8247 prec@top3: 0.6207 recall@top5: 1.0000 prec@top5: 0.4552 loss_action_cls: 0.0529 loss: 0.0529 2022/08/08 22:21:31 - mmengine - INFO - Epoch(train) [4][900/2881] lr: 7.7500e-02 eta: 9:32:13 time: 0.6250 data_time: 0.0238 memory: 13802 grad_norm: 0.1535 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.6548 recall@top3: 0.7560 prec@top3: 0.5833 recall@top5: 0.9226 prec@top5: 0.4357 loss_action_cls: 0.0671 loss: 0.0671 2022/08/08 22:21:43 - mmengine - INFO - Epoch(train) [4][920/2881] lr: 7.7500e-02 eta: 9:31:51 time: 0.6316 data_time: 0.0227 memory: 13802 grad_norm: 0.1487 recall@thr=0.5: 0.5192 prec@thr=0.5: 0.7244 recall@top3: 0.7115 prec@top3: 0.6795 recall@top5: 0.9359 prec@top5: 0.5154 loss_action_cls: 0.0587 loss: 0.0587 2022/08/08 22:21:55 - mmengine - INFO - Epoch(train) [4][940/2881] lr: 7.7500e-02 eta: 9:31:26 time: 0.6084 data_time: 0.0221 memory: 13802 grad_norm: 0.1445 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.6739 recall@top3: 0.7826 prec@top3: 0.5797 recall@top5: 0.8841 prec@top5: 0.4087 loss_action_cls: 0.0639 loss: 0.0639 2022/08/08 22:22:08 - mmengine - INFO - Epoch(train) [4][960/2881] lr: 7.7500e-02 eta: 9:31:04 time: 0.6356 data_time: 0.0289 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.8712 recall@top3: 0.7955 prec@top3: 0.7273 recall@top5: 0.9167 prec@top5: 0.4909 loss_action_cls: 0.0558 loss: 0.0558 2022/08/08 22:22:21 - mmengine - INFO - Epoch(train) [4][980/2881] lr: 7.7500e-02 eta: 9:30:41 time: 0.6288 data_time: 0.0208 memory: 13802 grad_norm: 0.1461 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.7885 recall@top3: 0.8494 prec@top3: 0.8077 recall@top5: 0.9712 prec@top5: 0.5615 loss_action_cls: 0.0606 loss: 0.0606 2022/08/08 22:22:33 - mmengine - INFO - Epoch(train) [4][1000/2881] lr: 7.7500e-02 eta: 9:30:17 time: 0.6130 data_time: 0.0300 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.6825 recall@top3: 0.8095 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.3714 loss_action_cls: 0.0569 loss: 0.0569 2022/08/08 22:22:45 - mmengine - INFO - Epoch(train) [4][1020/2881] lr: 7.7500e-02 eta: 9:29:54 time: 0.6268 data_time: 0.0201 memory: 13802 grad_norm: 0.1501 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.5913 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.9048 prec@top5: 0.3714 loss_action_cls: 0.0578 loss: 0.0578 2022/08/08 22:22:58 - mmengine - INFO - Epoch(train) [4][1040/2881] lr: 7.7500e-02 eta: 9:29:32 time: 0.6336 data_time: 0.0234 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.2963 prec@thr=0.5: 0.4444 recall@top3: 0.5926 prec@top3: 0.4444 recall@top5: 0.7963 prec@top5: 0.3889 loss_action_cls: 0.0537 loss: 0.0537 2022/08/08 22:23:10 - mmengine - INFO - Epoch(train) [4][1060/2881] lr: 7.7500e-02 eta: 9:29:07 time: 0.6085 data_time: 0.0221 memory: 13802 grad_norm: 0.1466 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.8258 recall@top3: 0.7348 prec@top3: 0.6818 recall@top5: 0.9091 prec@top5: 0.5273 loss_action_cls: 0.0538 loss: 0.0538 2022/08/08 22:23:23 - mmengine - INFO - Epoch(train) [4][1080/2881] lr: 7.7500e-02 eta: 9:28:45 time: 0.6374 data_time: 0.0227 memory: 13802 grad_norm: 0.1526 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7667 recall@top3: 0.8167 prec@top3: 0.6667 recall@top5: 0.8958 prec@top5: 0.4400 loss_action_cls: 0.0553 loss: 0.0553 2022/08/08 22:23:35 - mmengine - INFO - Epoch(train) [4][1100/2881] lr: 7.7500e-02 eta: 9:28:21 time: 0.6051 data_time: 0.0216 memory: 13802 grad_norm: 0.1612 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.7157 recall@top3: 0.8039 prec@top3: 0.5686 recall@top5: 0.8922 prec@top5: 0.3765 loss_action_cls: 0.0518 loss: 0.0518 2022/08/08 22:23:48 - mmengine - INFO - Epoch(train) [4][1120/2881] lr: 7.7500e-02 eta: 9:28:00 time: 0.6445 data_time: 0.0228 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.7439 recall@top3: 0.8947 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0581 loss: 0.0581 2022/08/08 22:24:01 - mmengine - INFO - Epoch(train) [4][1140/2881] lr: 7.7500e-02 eta: 9:27:38 time: 0.6326 data_time: 0.0231 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.7701 prec@thr=0.5: 0.7241 recall@top3: 0.8161 prec@top3: 0.6207 recall@top5: 0.9425 prec@top5: 0.4345 loss_action_cls: 0.0496 loss: 0.0496 2022/08/08 22:24:13 - mmengine - INFO - Epoch(train) [4][1160/2881] lr: 7.7500e-02 eta: 9:27:15 time: 0.6270 data_time: 0.0219 memory: 13802 grad_norm: 0.1449 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8016 recall@top3: 0.8095 prec@top3: 0.6508 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0604 loss: 0.0604 2022/08/08 22:24:26 - mmengine - INFO - Epoch(train) [4][1180/2881] lr: 7.7500e-02 eta: 9:26:54 time: 0.6450 data_time: 0.0228 memory: 13802 grad_norm: 0.1510 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6958 recall@top3: 0.7042 prec@top3: 0.6500 recall@top5: 0.7875 prec@top5: 0.4500 loss_action_cls: 0.0641 loss: 0.0641 2022/08/08 22:24:39 - mmengine - INFO - Epoch(train) [4][1200/2881] lr: 7.7500e-02 eta: 9:26:32 time: 0.6286 data_time: 0.0220 memory: 13802 grad_norm: 0.1453 recall@thr=0.5: 0.6699 prec@thr=0.5: 0.7628 recall@top3: 0.8333 prec@top3: 0.6923 recall@top5: 0.9487 prec@top5: 0.4769 loss_action_cls: 0.0569 loss: 0.0569 2022/08/08 22:24:51 - mmengine - INFO - Epoch(train) [4][1220/2881] lr: 7.7500e-02 eta: 9:26:11 time: 0.6368 data_time: 0.0224 memory: 13802 grad_norm: 0.1520 recall@thr=0.5: 0.8086 prec@thr=0.5: 0.6728 recall@top3: 0.8580 prec@top3: 0.5556 recall@top5: 0.9321 prec@top5: 0.3778 loss_action_cls: 0.0548 loss: 0.0548 2022/08/08 22:25:04 - mmengine - INFO - Epoch(train) [4][1240/2881] lr: 7.7500e-02 eta: 9:25:49 time: 0.6315 data_time: 0.0231 memory: 13802 grad_norm: 0.1562 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.6875 recall@top3: 0.7604 prec@top3: 0.6458 recall@top5: 0.9062 prec@top5: 0.4625 loss_action_cls: 0.0594 loss: 0.0594 2022/08/08 22:25:17 - mmengine - INFO - Epoch(train) [4][1260/2881] lr: 7.7500e-02 eta: 9:25:27 time: 0.6313 data_time: 0.0235 memory: 13802 grad_norm: 0.1481 recall@thr=0.5: 0.5493 prec@thr=0.5: 0.6389 recall@top3: 0.7007 prec@top3: 0.6389 recall@top5: 0.8500 prec@top5: 0.4750 loss_action_cls: 0.0619 loss: 0.0619 2022/08/08 22:25:29 - mmengine - INFO - Epoch(train) [4][1280/2881] lr: 7.7500e-02 eta: 9:25:03 time: 0.6147 data_time: 0.0229 memory: 13802 grad_norm: 0.1508 recall@thr=0.5: 0.7097 prec@thr=0.5: 0.7742 recall@top3: 0.7419 prec@top3: 0.6667 recall@top5: 0.9435 prec@top5: 0.5097 loss_action_cls: 0.0603 loss: 0.0603 2022/08/08 22:25:42 - mmengine - INFO - Epoch(train) [4][1300/2881] lr: 7.7500e-02 eta: 9:24:41 time: 0.6304 data_time: 0.0221 memory: 13802 grad_norm: 0.1533 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7800 recall@top3: 0.7467 prec@top3: 0.7733 recall@top5: 0.9333 prec@top5: 0.6000 loss_action_cls: 0.0538 loss: 0.0538 2022/08/08 22:25:54 - mmengine - INFO - Epoch(train) [4][1320/2881] lr: 7.7500e-02 eta: 9:24:18 time: 0.6139 data_time: 0.0226 memory: 13802 grad_norm: 0.1592 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.7115 recall@top3: 0.6667 prec@top3: 0.5641 recall@top5: 0.8205 prec@top5: 0.4231 loss_action_cls: 0.0579 loss: 0.0579 2022/08/08 22:26:07 - mmengine - INFO - Epoch(train) [4][1340/2881] lr: 7.7500e-02 eta: 9:23:56 time: 0.6285 data_time: 0.0224 memory: 13802 grad_norm: 0.1535 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7619 recall@top3: 0.7738 prec@top3: 0.5238 recall@top5: 0.8929 prec@top5: 0.3810 loss_action_cls: 0.0522 loss: 0.0522 2022/08/08 22:26:18 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 22:26:20 - mmengine - INFO - Epoch(train) [4][1360/2881] lr: 7.7500e-02 eta: 9:23:36 time: 0.6549 data_time: 0.0278 memory: 13802 grad_norm: 0.1471 recall@thr=0.5: 0.7238 prec@thr=0.5: 0.7063 recall@top3: 0.7714 prec@top3: 0.5873 recall@top5: 0.8619 prec@top5: 0.4190 loss_action_cls: 0.0609 loss: 0.0609 2022/08/08 22:26:32 - mmengine - INFO - Epoch(train) [4][1380/2881] lr: 7.7500e-02 eta: 9:23:12 time: 0.6047 data_time: 0.0225 memory: 13802 grad_norm: 0.1598 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8833 recall@top3: 0.8722 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4400 loss_action_cls: 0.0554 loss: 0.0554 2022/08/08 22:26:45 - mmengine - INFO - Epoch(train) [4][1400/2881] lr: 7.7500e-02 eta: 9:22:52 time: 0.6433 data_time: 0.0217 memory: 13802 grad_norm: 0.1479 recall@thr=0.5: 0.6300 prec@thr=0.5: 0.7400 recall@top3: 0.7667 prec@top3: 0.7200 recall@top5: 0.8833 prec@top5: 0.5040 loss_action_cls: 0.0578 loss: 0.0578 2022/08/08 22:26:57 - mmengine - INFO - Epoch(train) [4][1420/2881] lr: 7.7500e-02 eta: 9:22:31 time: 0.6460 data_time: 0.0240 memory: 13802 grad_norm: 0.1594 recall@thr=0.5: 0.7851 prec@thr=0.5: 0.8640 recall@top3: 0.8202 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0595 loss: 0.0595 2022/08/08 22:27:10 - mmengine - INFO - Epoch(train) [4][1440/2881] lr: 7.7500e-02 eta: 9:22:07 time: 0.6042 data_time: 0.0224 memory: 13802 grad_norm: 0.1691 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.7500 recall@top3: 0.7611 prec@top3: 0.5694 recall@top5: 0.9153 prec@top5: 0.4167 loss_action_cls: 0.0586 loss: 0.0586 2022/08/08 22:27:22 - mmengine - INFO - Epoch(train) [4][1460/2881] lr: 7.7500e-02 eta: 9:21:45 time: 0.6285 data_time: 0.0216 memory: 13802 grad_norm: 0.1488 recall@thr=0.5: 0.6910 prec@thr=0.5: 0.7535 recall@top3: 0.7639 prec@top3: 0.6806 recall@top5: 0.8438 prec@top5: 0.4583 loss_action_cls: 0.0566 loss: 0.0566 2022/08/08 22:27:34 - mmengine - INFO - Epoch(train) [4][1480/2881] lr: 7.7500e-02 eta: 9:21:22 time: 0.6099 data_time: 0.0236 memory: 13802 grad_norm: 0.1672 recall@thr=0.5: 0.7700 prec@thr=0.5: 0.8833 recall@top3: 0.8533 prec@top3: 0.8533 recall@top5: 0.9767 prec@top5: 0.6000 loss_action_cls: 0.0529 loss: 0.0529 2022/08/08 22:27:47 - mmengine - INFO - Epoch(train) [4][1500/2881] lr: 7.7500e-02 eta: 9:21:01 time: 0.6410 data_time: 0.0213 memory: 13802 grad_norm: 0.1420 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.5417 recall@top3: 0.9015 prec@top3: 0.5455 recall@top5: 0.9545 prec@top5: 0.3545 loss_action_cls: 0.0592 loss: 0.0592 2022/08/08 22:28:00 - mmengine - INFO - Epoch(train) [4][1520/2881] lr: 7.7500e-02 eta: 9:20:40 time: 0.6304 data_time: 0.0223 memory: 13802 grad_norm: 0.1558 recall@thr=0.5: 0.4420 prec@thr=0.5: 0.4928 recall@top3: 0.6377 prec@top3: 0.4928 recall@top5: 0.8478 prec@top5: 0.3913 loss_action_cls: 0.0542 loss: 0.0542 2022/08/08 22:28:12 - mmengine - INFO - Epoch(train) [4][1540/2881] lr: 7.7500e-02 eta: 9:20:17 time: 0.6146 data_time: 0.0228 memory: 13802 grad_norm: 0.1496 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.8533 recall@top3: 0.7800 prec@top3: 0.6933 recall@top5: 0.9600 prec@top5: 0.5280 loss_action_cls: 0.0548 loss: 0.0548 2022/08/08 22:28:25 - mmengine - INFO - Epoch(train) [4][1560/2881] lr: 7.7500e-02 eta: 9:19:55 time: 0.6297 data_time: 0.0220 memory: 13802 grad_norm: 0.1593 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.6316 recall@top3: 0.7105 prec@top3: 0.6140 recall@top5: 0.8991 prec@top5: 0.4737 loss_action_cls: 0.0584 loss: 0.0584 2022/08/08 22:28:37 - mmengine - INFO - Epoch(train) [4][1580/2881] lr: 7.7500e-02 eta: 9:19:34 time: 0.6287 data_time: 0.0219 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7538 recall@top3: 0.7500 prec@top3: 0.4848 recall@top5: 0.9091 prec@top5: 0.3818 loss_action_cls: 0.0557 loss: 0.0557 2022/08/08 22:28:50 - mmengine - INFO - Epoch(train) [4][1600/2881] lr: 7.7500e-02 eta: 9:19:13 time: 0.6357 data_time: 0.0284 memory: 13802 grad_norm: 0.1450 recall@thr=0.5: 0.4111 prec@thr=0.5: 0.5556 recall@top3: 0.7389 prec@top3: 0.5333 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0623 loss: 0.0623 2022/08/08 22:29:02 - mmengine - INFO - Epoch(train) [4][1620/2881] lr: 7.7500e-02 eta: 9:18:51 time: 0.6281 data_time: 0.0212 memory: 13802 grad_norm: 0.1647 recall@thr=0.5: 0.6623 prec@thr=0.5: 0.8605 recall@top3: 0.7895 prec@top3: 0.7895 recall@top5: 0.8860 prec@top5: 0.5368 loss_action_cls: 0.0556 loss: 0.0556 2022/08/08 22:29:15 - mmengine - INFO - Epoch(train) [4][1640/2881] lr: 7.7500e-02 eta: 9:18:30 time: 0.6292 data_time: 0.0230 memory: 13802 grad_norm: 0.1535 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8596 recall@top3: 0.9123 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5474 loss_action_cls: 0.0544 loss: 0.0544 2022/08/08 22:29:28 - mmengine - INFO - Epoch(train) [4][1660/2881] lr: 7.7500e-02 eta: 9:18:10 time: 0.6468 data_time: 0.0236 memory: 13802 grad_norm: 0.1660 recall@thr=0.5: 0.3302 prec@thr=0.5: 0.4815 recall@top3: 0.7253 prec@top3: 0.5802 recall@top5: 0.8611 prec@top5: 0.4370 loss_action_cls: 0.0569 loss: 0.0569 2022/08/08 22:29:40 - mmengine - INFO - Epoch(train) [4][1680/2881] lr: 7.7500e-02 eta: 9:17:47 time: 0.6041 data_time: 0.0217 memory: 13802 grad_norm: 0.1456 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7885 recall@top3: 0.7724 prec@top3: 0.6923 recall@top5: 0.8365 prec@top5: 0.4615 loss_action_cls: 0.0566 loss: 0.0566 2022/08/08 22:29:53 - mmengine - INFO - Epoch(train) [4][1700/2881] lr: 7.7500e-02 eta: 9:17:26 time: 0.6357 data_time: 0.0204 memory: 13802 grad_norm: 0.1443 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.6333 recall@top3: 0.7652 prec@top3: 0.7121 recall@top5: 0.9167 prec@top5: 0.5091 loss_action_cls: 0.0603 loss: 0.0603 2022/08/08 22:30:05 - mmengine - INFO - Epoch(train) [4][1720/2881] lr: 7.7500e-02 eta: 9:17:05 time: 0.6298 data_time: 0.0221 memory: 13802 grad_norm: 0.1554 recall@thr=0.5: 0.7236 prec@thr=0.5: 0.7431 recall@top3: 0.8743 prec@top3: 0.6806 recall@top5: 0.9625 prec@top5: 0.4667 loss_action_cls: 0.0575 loss: 0.0575 2022/08/08 22:30:18 - mmengine - INFO - Epoch(train) [4][1740/2881] lr: 7.7500e-02 eta: 9:16:44 time: 0.6389 data_time: 0.0219 memory: 13802 grad_norm: 0.1608 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.5000 recall@top3: 0.6458 prec@top3: 0.4722 recall@top5: 0.8958 prec@top5: 0.3833 loss_action_cls: 0.0554 loss: 0.0554 2022/08/08 22:30:31 - mmengine - INFO - Epoch(train) [4][1760/2881] lr: 7.7500e-02 eta: 9:16:22 time: 0.6161 data_time: 0.0269 memory: 13802 grad_norm: 0.1510 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.6706 recall@top3: 0.7460 prec@top3: 0.6349 recall@top5: 0.9365 prec@top5: 0.4857 loss_action_cls: 0.0577 loss: 0.0577 2022/08/08 22:30:43 - mmengine - INFO - Epoch(train) [4][1780/2881] lr: 7.7500e-02 eta: 9:16:00 time: 0.6276 data_time: 0.0200 memory: 13802 grad_norm: 0.1449 recall@thr=0.5: 0.4625 prec@thr=0.5: 0.6583 recall@top3: 0.6750 prec@top3: 0.5833 recall@top5: 0.9083 prec@top5: 0.4900 loss_action_cls: 0.0572 loss: 0.0572 2022/08/08 22:30:57 - mmengine - INFO - Epoch(train) [4][1800/2881] lr: 7.7500e-02 eta: 9:15:44 time: 0.6828 data_time: 0.0235 memory: 13802 grad_norm: 0.1440 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.7250 recall@top3: 0.7333 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0541 loss: 0.0541 2022/08/08 22:31:13 - mmengine - INFO - Epoch(train) [4][1820/2881] lr: 7.7500e-02 eta: 9:15:39 time: 0.8117 data_time: 0.1807 memory: 13802 grad_norm: 0.1492 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.7045 recall@top3: 0.7955 prec@top3: 0.5758 recall@top5: 0.9848 prec@top5: 0.4545 loss_action_cls: 0.0594 loss: 0.0594 2022/08/08 22:31:26 - mmengine - INFO - Epoch(train) [4][1840/2881] lr: 7.7500e-02 eta: 9:15:20 time: 0.6433 data_time: 0.0368 memory: 13802 grad_norm: 0.1506 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.8417 recall@top3: 0.7789 prec@top3: 0.7667 recall@top5: 0.9011 prec@top5: 0.5333 loss_action_cls: 0.0544 loss: 0.0544 2022/08/08 22:31:40 - mmengine - INFO - Epoch(train) [4][1860/2881] lr: 7.7500e-02 eta: 9:15:05 time: 0.6992 data_time: 0.0231 memory: 13802 grad_norm: 0.1504 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.8690 recall@top3: 0.9365 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0539 loss: 0.0539 2022/08/08 22:31:53 - mmengine - INFO - Epoch(train) [4][1880/2881] lr: 7.7500e-02 eta: 9:14:47 time: 0.6638 data_time: 0.0265 memory: 13802 grad_norm: 0.1547 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.7667 recall@top3: 0.8933 prec@top3: 0.6267 recall@top5: 0.9400 prec@top5: 0.4000 loss_action_cls: 0.0513 loss: 0.0513 2022/08/08 22:32:06 - mmengine - INFO - Epoch(train) [4][1900/2881] lr: 7.7500e-02 eta: 9:14:26 time: 0.6308 data_time: 0.0235 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.6296 recall@top5: 0.8611 prec@top5: 0.3889 loss_action_cls: 0.0538 loss: 0.0538 2022/08/08 22:32:19 - mmengine - INFO - Epoch(train) [4][1920/2881] lr: 7.7500e-02 eta: 9:14:06 time: 0.6404 data_time: 0.0242 memory: 13802 grad_norm: 0.1478 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7660 recall@top3: 0.6859 prec@top3: 0.6923 recall@top5: 0.8878 prec@top5: 0.5538 loss_action_cls: 0.0571 loss: 0.0571 2022/08/08 22:32:36 - mmengine - INFO - Epoch(train) [4][1940/2881] lr: 7.7500e-02 eta: 9:14:06 time: 0.8674 data_time: 0.0246 memory: 13802 grad_norm: 0.1666 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7632 recall@top3: 0.7632 prec@top3: 0.6842 recall@top5: 0.9123 prec@top5: 0.4842 loss_action_cls: 0.0599 loss: 0.0599 2022/08/08 22:32:48 - mmengine - INFO - Epoch(train) [4][1960/2881] lr: 7.7500e-02 eta: 9:13:44 time: 0.6146 data_time: 0.0210 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.7544 recall@top3: 0.8684 prec@top3: 0.7193 recall@top5: 0.9474 prec@top5: 0.4737 loss_action_cls: 0.0589 loss: 0.0589 2022/08/08 22:33:01 - mmengine - INFO - Epoch(train) [4][1980/2881] lr: 7.7500e-02 eta: 9:13:24 time: 0.6457 data_time: 0.0256 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.8563 prec@thr=0.5: 0.8218 recall@top3: 0.7960 prec@top3: 0.7011 recall@top5: 1.0000 prec@top5: 0.5448 loss_action_cls: 0.0545 loss: 0.0545 2022/08/08 22:33:14 - mmengine - INFO - Epoch(train) [4][2000/2881] lr: 7.7500e-02 eta: 9:13:03 time: 0.6318 data_time: 0.0215 memory: 13802 grad_norm: 0.1463 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7717 recall@top3: 0.9239 prec@top3: 0.6232 recall@top5: 0.9457 prec@top5: 0.3913 loss_action_cls: 0.0544 loss: 0.0544 2022/08/08 22:33:33 - mmengine - INFO - Epoch(train) [4][2020/2881] lr: 7.7500e-02 eta: 9:13:10 time: 0.9434 data_time: 0.0260 memory: 13802 grad_norm: 0.1641 recall@thr=0.5: 0.8910 prec@thr=0.5: 0.9423 recall@top3: 0.9199 prec@top3: 0.8462 recall@top5: 0.9808 prec@top5: 0.5538 loss_action_cls: 0.0579 loss: 0.0579 2022/08/08 22:33:48 - mmengine - INFO - Epoch(train) [4][2040/2881] lr: 7.7500e-02 eta: 9:13:00 time: 0.7494 data_time: 0.0254 memory: 13802 grad_norm: 0.1645 recall@thr=0.5: 0.7094 prec@thr=0.5: 0.7760 recall@top3: 0.7635 prec@top3: 0.6354 recall@top5: 0.8906 prec@top5: 0.4625 loss_action_cls: 0.0580 loss: 0.0580 2022/08/08 22:34:08 - mmengine - INFO - Epoch(train) [4][2060/2881] lr: 7.7500e-02 eta: 9:13:14 time: 1.0299 data_time: 0.0220 memory: 13802 grad_norm: 0.1534 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.7750 recall@top3: 0.7417 prec@top3: 0.6167 recall@top5: 0.8167 prec@top5: 0.3900 loss_action_cls: 0.0565 loss: 0.0565 2022/08/08 22:34:21 - mmengine - INFO - Epoch(train) [4][2080/2881] lr: 7.7500e-02 eta: 9:12:53 time: 0.6310 data_time: 0.0236 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.8063 prec@thr=0.5: 0.8132 recall@top3: 0.7506 prec@top3: 0.6667 recall@top5: 0.9425 prec@top5: 0.5241 loss_action_cls: 0.0526 loss: 0.0526 2022/08/08 22:34:33 - mmengine - INFO - Epoch(train) [4][2100/2881] lr: 7.7500e-02 eta: 9:12:33 time: 0.6340 data_time: 0.0206 memory: 13802 grad_norm: 0.1458 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7847 recall@top3: 0.7049 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.5083 loss_action_cls: 0.0587 loss: 0.0587 2022/08/08 22:34:46 - mmengine - INFO - Epoch(train) [4][2120/2881] lr: 7.7500e-02 eta: 9:12:12 time: 0.6297 data_time: 0.0224 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8627 recall@top3: 0.8431 prec@top3: 0.5490 recall@top5: 0.9314 prec@top5: 0.3647 loss_action_cls: 0.0534 loss: 0.0534 2022/08/08 22:34:59 - mmengine - INFO - Epoch(train) [4][2140/2881] lr: 7.7500e-02 eta: 9:11:51 time: 0.6294 data_time: 0.0233 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.6187 prec@thr=0.5: 0.8333 recall@top3: 0.7080 prec@top3: 0.7467 recall@top5: 0.8973 prec@top5: 0.5680 loss_action_cls: 0.0526 loss: 0.0526 2022/08/08 22:35:11 - mmengine - INFO - Epoch(train) [4][2160/2881] lr: 7.7500e-02 eta: 9:11:30 time: 0.6320 data_time: 0.0234 memory: 13802 grad_norm: 0.1461 recall@thr=0.5: 0.4921 prec@thr=0.5: 0.5611 recall@top3: 0.4802 prec@top3: 0.5079 recall@top5: 0.6746 prec@top5: 0.4286 loss_action_cls: 0.0574 loss: 0.0574 2022/08/08 22:35:24 - mmengine - INFO - Epoch(train) [4][2180/2881] lr: 7.7500e-02 eta: 9:11:09 time: 0.6273 data_time: 0.0217 memory: 13802 grad_norm: 0.1470 recall@thr=0.5: 0.6823 prec@thr=0.5: 0.7490 recall@top3: 0.7344 prec@top3: 0.5833 recall@top5: 0.8724 prec@top5: 0.4312 loss_action_cls: 0.0589 loss: 0.0589 2022/08/08 22:35:37 - mmengine - INFO - Epoch(train) [4][2200/2881] lr: 7.7500e-02 eta: 9:10:49 time: 0.6417 data_time: 0.0205 memory: 13802 grad_norm: 0.1607 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.6600 recall@top3: 0.7267 prec@top3: 0.5467 recall@top5: 0.8667 prec@top5: 0.4080 loss_action_cls: 0.0665 loss: 0.0665 2022/08/08 22:35:49 - mmengine - INFO - Epoch(train) [4][2220/2881] lr: 7.7500e-02 eta: 9:10:28 time: 0.6200 data_time: 0.0223 memory: 13802 grad_norm: 0.1480 recall@thr=0.5: 0.7377 prec@thr=0.5: 0.6975 recall@top3: 0.8642 prec@top3: 0.6296 recall@top5: 0.9660 prec@top5: 0.4296 loss_action_cls: 0.0618 loss: 0.0618 2022/08/08 22:36:02 - mmengine - INFO - Epoch(train) [4][2240/2881] lr: 7.7500e-02 eta: 9:10:07 time: 0.6280 data_time: 0.0221 memory: 13802 grad_norm: 0.1534 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.7255 recall@top3: 0.7377 prec@top3: 0.6176 recall@top5: 0.9020 prec@top5: 0.4647 loss_action_cls: 0.0589 loss: 0.0589 2022/08/08 22:36:14 - mmengine - INFO - Epoch(train) [4][2260/2881] lr: 7.7500e-02 eta: 9:09:47 time: 0.6385 data_time: 0.0228 memory: 13802 grad_norm: 0.1482 recall@thr=0.5: 0.7241 prec@thr=0.5: 0.8333 recall@top3: 0.8563 prec@top3: 0.6897 recall@top5: 0.9713 prec@top5: 0.4759 loss_action_cls: 0.0541 loss: 0.0541 2022/08/08 22:36:27 - mmengine - INFO - Epoch(train) [4][2280/2881] lr: 7.7500e-02 eta: 9:09:24 time: 0.6074 data_time: 0.0223 memory: 13802 grad_norm: 0.1515 recall@thr=0.5: 0.6431 prec@thr=0.5: 0.6471 recall@top3: 0.7118 prec@top3: 0.5980 recall@top5: 0.8676 prec@top5: 0.4471 loss_action_cls: 0.0580 loss: 0.0580 2022/08/08 22:36:39 - mmengine - INFO - Epoch(train) [4][2300/2881] lr: 7.7500e-02 eta: 9:09:04 time: 0.6316 data_time: 0.0222 memory: 13802 grad_norm: 0.1487 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8598 recall@top3: 0.7439 prec@top3: 0.7273 recall@top5: 0.9167 prec@top5: 0.5727 loss_action_cls: 0.0538 loss: 0.0538 2022/08/08 22:36:52 - mmengine - INFO - Epoch(train) [4][2320/2881] lr: 7.7500e-02 eta: 9:08:44 time: 0.6361 data_time: 0.0228 memory: 13802 grad_norm: 0.1468 recall@thr=0.5: 0.4781 prec@thr=0.5: 0.7193 recall@top3: 0.6535 prec@top3: 0.5088 recall@top5: 0.8596 prec@top5: 0.4000 loss_action_cls: 0.0617 loss: 0.0617 2022/08/08 22:37:04 - mmengine - INFO - Epoch(train) [4][2340/2881] lr: 7.7500e-02 eta: 9:08:21 time: 0.6072 data_time: 0.0216 memory: 13802 grad_norm: 0.1499 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7368 recall@top3: 0.8246 prec@top3: 0.6316 recall@top5: 0.8860 prec@top5: 0.4211 loss_action_cls: 0.0486 loss: 0.0486 2022/08/08 22:37:15 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 22:37:17 - mmengine - INFO - Epoch(train) [4][2360/2881] lr: 7.7500e-02 eta: 9:08:01 time: 0.6318 data_time: 0.0213 memory: 13802 grad_norm: 0.1442 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6746 recall@top3: 0.8651 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4476 loss_action_cls: 0.0523 loss: 0.0523 2022/08/08 22:37:29 - mmengine - INFO - Epoch(train) [4][2380/2881] lr: 7.7500e-02 eta: 9:07:41 time: 0.6359 data_time: 0.0229 memory: 13802 grad_norm: 0.1462 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7870 recall@top3: 0.7963 prec@top3: 0.7778 recall@top5: 0.8611 prec@top5: 0.5111 loss_action_cls: 0.0497 loss: 0.0497 2022/08/08 22:37:42 - mmengine - INFO - Epoch(train) [4][2400/2881] lr: 7.7500e-02 eta: 9:07:20 time: 0.6228 data_time: 0.0275 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8889 recall@top3: 0.8095 prec@top3: 0.6508 recall@top5: 0.9683 prec@top5: 0.4762 loss_action_cls: 0.0627 loss: 0.0627 2022/08/08 22:37:54 - mmengine - INFO - Epoch(train) [4][2420/2881] lr: 7.7500e-02 eta: 9:06:59 time: 0.6175 data_time: 0.0215 memory: 13802 grad_norm: 0.1506 recall@thr=0.5: 0.5747 prec@thr=0.5: 0.6609 recall@top3: 0.7241 prec@top3: 0.4828 recall@top5: 0.9167 prec@top5: 0.3724 loss_action_cls: 0.0558 loss: 0.0558 2022/08/08 22:38:07 - mmengine - INFO - Epoch(train) [4][2440/2881] lr: 7.7500e-02 eta: 9:06:37 time: 0.6172 data_time: 0.0225 memory: 13802 grad_norm: 0.1466 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7467 recall@top3: 0.7333 prec@top3: 0.6267 recall@top5: 0.8833 prec@top5: 0.4800 loss_action_cls: 0.0542 loss: 0.0542 2022/08/08 22:38:19 - mmengine - INFO - Epoch(train) [4][2460/2881] lr: 7.7500e-02 eta: 9:06:17 time: 0.6288 data_time: 0.0222 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7803 recall@top3: 0.7674 prec@top3: 0.6818 recall@top5: 0.9667 prec@top5: 0.5364 loss_action_cls: 0.0548 loss: 0.0548 2022/08/08 22:38:32 - mmengine - INFO - Epoch(train) [4][2480/2881] lr: 7.7500e-02 eta: 9:05:56 time: 0.6262 data_time: 0.0224 memory: 13802 grad_norm: 0.1535 recall@thr=0.5: 0.7767 prec@thr=0.5: 0.8167 recall@top3: 0.8725 prec@top3: 0.7000 recall@top5: 0.9625 prec@top5: 0.4800 loss_action_cls: 0.0479 loss: 0.0479 2022/08/08 22:38:45 - mmengine - INFO - Epoch(train) [4][2500/2881] lr: 7.7500e-02 eta: 9:05:38 time: 0.6551 data_time: 0.0243 memory: 13802 grad_norm: 0.1449 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.7821 recall@top3: 0.6795 prec@top3: 0.5128 recall@top5: 0.9359 prec@top5: 0.4462 loss_action_cls: 0.0553 loss: 0.0553 2022/08/08 22:38:58 - mmengine - INFO - Epoch(train) [4][2520/2881] lr: 7.7500e-02 eta: 9:05:19 time: 0.6491 data_time: 0.0227 memory: 13802 grad_norm: 0.1569 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8250 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 0.9833 prec@top5: 0.4400 loss_action_cls: 0.0590 loss: 0.0590 2022/08/08 22:39:10 - mmengine - INFO - Epoch(train) [4][2540/2881] lr: 7.7500e-02 eta: 9:04:59 time: 0.6283 data_time: 0.0221 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.7071 prec@thr=0.5: 0.8434 recall@top3: 0.8091 prec@top3: 0.8081 recall@top5: 0.9525 prec@top5: 0.5758 loss_action_cls: 0.0515 loss: 0.0515 2022/08/08 22:39:23 - mmengine - INFO - Epoch(train) [4][2560/2881] lr: 7.7500e-02 eta: 9:04:39 time: 0.6315 data_time: 0.0228 memory: 13802 grad_norm: 0.1436 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6270 recall@top3: 0.8079 prec@top3: 0.6667 recall@top5: 0.8746 prec@top5: 0.4476 loss_action_cls: 0.0615 loss: 0.0615 2022/08/08 22:39:36 - mmengine - INFO - Epoch(train) [4][2580/2881] lr: 7.7500e-02 eta: 9:04:19 time: 0.6359 data_time: 0.0222 memory: 13802 grad_norm: 0.1467 recall@thr=0.5: 0.7414 prec@thr=0.5: 0.7701 recall@top3: 0.7931 prec@top3: 0.5632 recall@top5: 0.8563 prec@top5: 0.3724 loss_action_cls: 0.0538 loss: 0.0538 2022/08/08 22:39:49 - mmengine - INFO - Epoch(train) [4][2600/2881] lr: 7.7500e-02 eta: 9:04:00 time: 0.6447 data_time: 0.0239 memory: 13802 grad_norm: 0.1435 recall@thr=0.5: 0.4222 prec@thr=0.5: 0.6333 recall@top3: 0.5333 prec@top3: 0.4444 recall@top5: 0.8111 prec@top5: 0.3867 loss_action_cls: 0.0552 loss: 0.0552 2022/08/08 22:40:01 - mmengine - INFO - Epoch(train) [4][2620/2881] lr: 7.7500e-02 eta: 9:03:38 time: 0.6115 data_time: 0.0275 memory: 13802 grad_norm: 0.1460 recall@thr=0.5: 0.7476 prec@thr=0.5: 0.9405 recall@top3: 0.8643 prec@top3: 0.8690 recall@top5: 0.9143 prec@top5: 0.5571 loss_action_cls: 0.0525 loss: 0.0525 2022/08/08 22:40:13 - mmengine - INFO - Epoch(train) [4][2640/2881] lr: 7.7500e-02 eta: 9:03:18 time: 0.6278 data_time: 0.0214 memory: 13802 grad_norm: 0.1480 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8782 recall@top3: 0.8590 prec@top3: 0.7308 recall@top5: 0.9744 prec@top5: 0.5077 loss_action_cls: 0.0549 loss: 0.0549 2022/08/08 22:40:26 - mmengine - INFO - Epoch(train) [4][2660/2881] lr: 7.7500e-02 eta: 9:02:56 time: 0.6097 data_time: 0.0269 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.7569 recall@top3: 0.8125 prec@top3: 0.6944 recall@top5: 0.9000 prec@top5: 0.4750 loss_action_cls: 0.0531 loss: 0.0531 2022/08/08 22:40:38 - mmengine - INFO - Epoch(train) [4][2680/2881] lr: 7.7500e-02 eta: 9:02:37 time: 0.6360 data_time: 0.0219 memory: 13802 grad_norm: 0.1344 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8039 recall@top3: 0.9216 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0487 loss: 0.0487 2022/08/08 22:40:51 - mmengine - INFO - Epoch(train) [4][2700/2881] lr: 7.7500e-02 eta: 9:02:17 time: 0.6304 data_time: 0.0223 memory: 13802 grad_norm: 0.1421 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7812 recall@top3: 0.7167 prec@top3: 0.5625 recall@top5: 0.8000 prec@top5: 0.4125 loss_action_cls: 0.0479 loss: 0.0479 2022/08/08 22:41:03 - mmengine - INFO - Epoch(train) [4][2720/2881] lr: 7.7500e-02 eta: 9:01:55 time: 0.6099 data_time: 0.0214 memory: 13802 grad_norm: 0.1380 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.6268 recall@top3: 0.8043 prec@top3: 0.6087 recall@top5: 0.9130 prec@top5: 0.4174 loss_action_cls: 0.0542 loss: 0.0542 2022/08/08 22:41:16 - mmengine - INFO - Epoch(train) [4][2740/2881] lr: 7.7500e-02 eta: 9:01:35 time: 0.6306 data_time: 0.0224 memory: 13802 grad_norm: 0.1515 recall@thr=0.5: 0.7402 prec@thr=0.5: 0.7059 recall@top3: 0.7598 prec@top3: 0.6667 recall@top5: 0.9118 prec@top5: 0.4941 loss_action_cls: 0.0552 loss: 0.0552 2022/08/08 22:41:28 - mmengine - INFO - Epoch(train) [4][2760/2881] lr: 7.7500e-02 eta: 9:01:16 time: 0.6398 data_time: 0.0249 memory: 13802 grad_norm: 0.1434 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.5370 recall@top3: 0.7315 prec@top3: 0.4259 recall@top5: 0.8611 prec@top5: 0.3333 loss_action_cls: 0.0571 loss: 0.0571 2022/08/08 22:41:41 - mmengine - INFO - Epoch(train) [4][2780/2881] lr: 7.7500e-02 eta: 9:00:54 time: 0.6107 data_time: 0.0236 memory: 13802 grad_norm: 0.1446 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.4722 recall@top3: 0.6806 prec@top3: 0.3889 recall@top5: 0.8889 prec@top5: 0.3111 loss_action_cls: 0.0510 loss: 0.0510 2022/08/08 22:41:53 - mmengine - INFO - Epoch(train) [4][2800/2881] lr: 7.7500e-02 eta: 9:00:34 time: 0.6260 data_time: 0.0244 memory: 13802 grad_norm: 0.1411 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.6548 recall@top3: 0.7321 prec@top3: 0.4762 recall@top5: 0.8036 prec@top5: 0.3214 loss_action_cls: 0.0557 loss: 0.0557 2022/08/08 22:42:06 - mmengine - INFO - Epoch(train) [4][2820/2881] lr: 7.7500e-02 eta: 9:00:13 time: 0.6199 data_time: 0.0219 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.6924 prec@thr=0.5: 0.6780 recall@top3: 0.6947 prec@top3: 0.4697 recall@top5: 0.8705 prec@top5: 0.4000 loss_action_cls: 0.0638 loss: 0.0638 2022/08/08 22:42:19 - mmengine - INFO - Epoch(train) [4][2840/2881] lr: 7.7500e-02 eta: 8:59:55 time: 0.6501 data_time: 0.0203 memory: 13802 grad_norm: 0.1408 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7604 recall@top3: 0.8333 prec@top3: 0.6875 recall@top5: 0.8854 prec@top5: 0.4500 loss_action_cls: 0.0444 loss: 0.0444 2022/08/08 22:42:31 - mmengine - INFO - Epoch(train) [4][2860/2881] lr: 7.7500e-02 eta: 8:59:36 time: 0.6404 data_time: 0.0220 memory: 13802 grad_norm: 0.1579 recall@thr=0.5: 0.6727 prec@thr=0.5: 0.7071 recall@top3: 0.8444 prec@top3: 0.6162 recall@top5: 0.9394 prec@top5: 0.4364 loss_action_cls: 0.0557 loss: 0.0557 2022/08/08 22:42:44 - mmengine - INFO - Epoch(train) [4][2880/2881] lr: 7.7500e-02 eta: 8:59:16 time: 0.6201 data_time: 0.0224 memory: 13802 grad_norm: 0.1417 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5625 recall@top3: 0.7708 prec@top3: 0.5000 recall@top5: 0.9167 prec@top5: 0.3625 loss_action_cls: 0.0454 loss: 0.0454 2022/08/08 22:42:44 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 22:42:44 - mmengine - INFO - Epoch(train) [4][2881/2881] lr: 7.7500e-02 eta: 8:59:16 time: 0.6188 data_time: 0.0215 memory: 13802 grad_norm: 0.1418 recall@thr=0.5: 0.8177 prec@thr=0.5: 0.9444 recall@top3: 0.9071 prec@top3: 0.7980 recall@top5: 0.9576 prec@top5: 0.5152 loss_action_cls: 0.0448 loss: 0.0448 2022/08/08 22:42:44 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/08 22:42:51 - mmengine - INFO - Epoch(val) [4][20/6282] eta: 0:08:44 time: 0.0837 data_time: 0.0332 memory: 721 2022/08/08 22:42:52 - mmengine - INFO - Epoch(val) [4][40/6282] eta: 0:05:00 time: 0.0481 data_time: 0.0033 memory: 721 2022/08/08 22:42:53 - mmengine - INFO - Epoch(val) [4][60/6282] eta: 0:05:06 time: 0.0493 data_time: 0.0044 memory: 721 2022/08/08 22:42:54 - mmengine - INFO - Epoch(val) [4][80/6282] eta: 0:05:23 time: 0.0521 data_time: 0.0042 memory: 721 2022/08/08 22:42:55 - mmengine - INFO - Epoch(val) [4][100/6282] eta: 0:06:30 time: 0.0632 data_time: 0.0165 memory: 721 2022/08/08 22:42:57 - mmengine - INFO - Epoch(val) [4][120/6282] eta: 0:05:48 time: 0.0566 data_time: 0.0043 memory: 806 2022/08/08 22:42:58 - mmengine - INFO - Epoch(val) [4][140/6282] eta: 0:08:02 time: 0.0786 data_time: 0.0049 memory: 806 2022/08/08 22:42:59 - mmengine - INFO - Epoch(val) [4][160/6282] eta: 0:06:45 time: 0.0663 data_time: 0.0048 memory: 806 2022/08/08 22:43:01 - mmengine - INFO - Epoch(val) [4][180/6282] eta: 0:06:45 time: 0.0665 data_time: 0.0060 memory: 806 2022/08/08 22:43:02 - mmengine - INFO - Epoch(val) [4][200/6282] eta: 0:06:59 time: 0.0689 data_time: 0.0059 memory: 806 2022/08/08 22:43:03 - mmengine - INFO - Epoch(val) [4][220/6282] eta: 0:05:46 time: 0.0572 data_time: 0.0067 memory: 736 2022/08/08 22:43:04 - mmengine - INFO - Epoch(val) [4][240/6282] eta: 0:05:40 time: 0.0563 data_time: 0.0046 memory: 736 2022/08/08 22:43:06 - mmengine - INFO - Epoch(val) [4][260/6282] eta: 0:05:33 time: 0.0553 data_time: 0.0044 memory: 736 2022/08/08 22:43:07 - mmengine - INFO - Epoch(val) [4][280/6282] eta: 0:05:33 time: 0.0556 data_time: 0.0046 memory: 736 2022/08/08 22:43:08 - mmengine - INFO - Epoch(val) [4][300/6282] eta: 0:06:26 time: 0.0647 data_time: 0.0106 memory: 806 2022/08/08 22:43:10 - mmengine - INFO - Epoch(val) [4][320/6282] eta: 0:09:38 time: 0.0971 data_time: 0.0354 memory: 806 2022/08/08 22:43:11 - mmengine - INFO - Epoch(val) [4][340/6282] eta: 0:07:33 time: 0.0763 data_time: 0.0157 memory: 806 2022/08/08 22:43:13 - mmengine - INFO - Epoch(val) [4][360/6282] eta: 0:07:59 time: 0.0809 data_time: 0.0174 memory: 806 2022/08/08 22:43:15 - mmengine - INFO - Epoch(val) [4][380/6282] eta: 0:09:06 time: 0.0926 data_time: 0.0290 memory: 806 2022/08/08 22:43:16 - mmengine - INFO - Epoch(val) [4][400/6282] eta: 0:06:16 time: 0.0641 data_time: 0.0070 memory: 806 2022/08/08 22:43:18 - mmengine - INFO - Epoch(val) [4][420/6282] eta: 0:08:03 time: 0.0825 data_time: 0.0047 memory: 741 2022/08/08 22:43:19 - mmengine - INFO - Epoch(val) [4][440/6282] eta: 0:05:29 time: 0.0564 data_time: 0.0044 memory: 741 2022/08/08 22:43:20 - mmengine - INFO - Epoch(val) [4][460/6282] eta: 0:05:36 time: 0.0578 data_time: 0.0044 memory: 741 2022/08/08 22:43:21 - mmengine - INFO - Epoch(val) [4][480/6282] eta: 0:05:41 time: 0.0589 data_time: 0.0065 memory: 741 2022/08/08 22:43:22 - mmengine - INFO - Epoch(val) [4][500/6282] eta: 0:05:24 time: 0.0561 data_time: 0.0051 memory: 741 2022/08/08 22:43:24 - mmengine - INFO - Epoch(val) [4][520/6282] eta: 0:05:21 time: 0.0558 data_time: 0.0047 memory: 736 2022/08/08 22:43:25 - mmengine - INFO - Epoch(val) [4][540/6282] eta: 0:04:54 time: 0.0512 data_time: 0.0042 memory: 736 2022/08/08 22:43:26 - mmengine - INFO - Epoch(val) [4][560/6282] eta: 0:05:01 time: 0.0526 data_time: 0.0036 memory: 736 2022/08/08 22:43:27 - mmengine - INFO - Epoch(val) [4][580/6282] eta: 0:04:56 time: 0.0519 data_time: 0.0043 memory: 736 2022/08/08 22:43:28 - mmengine - INFO - Epoch(val) [4][600/6282] eta: 0:05:14 time: 0.0554 data_time: 0.0043 memory: 736 2022/08/08 22:43:29 - mmengine - INFO - Epoch(val) [4][620/6282] eta: 0:05:26 time: 0.0577 data_time: 0.0057 memory: 736 2022/08/08 22:43:30 - mmengine - INFO - Epoch(val) [4][640/6282] eta: 0:04:44 time: 0.0504 data_time: 0.0042 memory: 733 2022/08/08 22:43:31 - mmengine - INFO - Epoch(val) [4][660/6282] eta: 0:04:30 time: 0.0481 data_time: 0.0039 memory: 733 2022/08/08 22:43:32 - mmengine - INFO - Epoch(val) [4][680/6282] eta: 0:04:37 time: 0.0495 data_time: 0.0043 memory: 733 2022/08/08 22:43:33 - mmengine - INFO - Epoch(val) [4][700/6282] eta: 0:04:55 time: 0.0529 data_time: 0.0045 memory: 733 2022/08/08 22:43:36 - mmengine - INFO - Epoch(val) [4][720/6282] eta: 0:12:12 time: 0.1317 data_time: 0.0772 memory: 806 2022/08/08 22:43:39 - mmengine - INFO - Epoch(val) [4][740/6282] eta: 0:17:22 time: 0.1881 data_time: 0.1277 memory: 806 2022/08/08 22:43:42 - mmengine - INFO - Epoch(val) [4][760/6282] eta: 0:13:08 time: 0.1428 data_time: 0.0813 memory: 806 2022/08/08 22:43:46 - mmengine - INFO - Epoch(val) [4][780/6282] eta: 0:16:25 time: 0.1791 data_time: 0.1194 memory: 806 2022/08/08 22:43:49 - mmengine - INFO - Epoch(val) [4][800/6282] eta: 0:12:18 time: 0.1348 data_time: 0.0764 memory: 806 2022/08/08 22:43:50 - mmengine - INFO - Epoch(val) [4][820/6282] eta: 0:07:59 time: 0.0877 data_time: 0.0318 memory: 806 2022/08/08 22:43:51 - mmengine - INFO - Epoch(val) [4][840/6282] eta: 0:04:57 time: 0.0546 data_time: 0.0048 memory: 736 2022/08/08 22:43:53 - mmengine - INFO - Epoch(val) [4][860/6282] eta: 0:05:05 time: 0.0563 data_time: 0.0055 memory: 736 2022/08/08 22:43:54 - mmengine - INFO - Epoch(val) [4][880/6282] eta: 0:05:03 time: 0.0562 data_time: 0.0044 memory: 736 2022/08/08 22:43:55 - mmengine - INFO - Epoch(val) [4][900/6282] eta: 0:07:15 time: 0.0810 data_time: 0.0042 memory: 736 2022/08/08 22:43:56 - mmengine - INFO - Epoch(val) [4][920/6282] eta: 0:05:18 time: 0.0595 data_time: 0.0072 memory: 736 2022/08/08 22:43:58 - mmengine - INFO - Epoch(val) [4][940/6282] eta: 0:05:12 time: 0.0585 data_time: 0.0055 memory: 721 2022/08/08 22:43:59 - mmengine - INFO - Epoch(val) [4][960/6282] eta: 0:04:57 time: 0.0558 data_time: 0.0056 memory: 721 2022/08/08 22:44:00 - mmengine - INFO - Epoch(val) [4][980/6282] eta: 0:04:45 time: 0.0539 data_time: 0.0054 memory: 721 2022/08/08 22:44:01 - mmengine - INFO - Epoch(val) [4][1000/6282] eta: 0:04:42 time: 0.0534 data_time: 0.0054 memory: 721 2022/08/08 22:44:02 - mmengine - INFO - Epoch(val) [4][1020/6282] eta: 0:04:52 time: 0.0555 data_time: 0.0061 memory: 736 2022/08/08 22:44:03 - mmengine - INFO - Epoch(val) [4][1040/6282] eta: 0:05:43 time: 0.0656 data_time: 0.0122 memory: 736 2022/08/08 22:44:04 - mmengine - INFO - Epoch(val) [4][1060/6282] eta: 0:04:46 time: 0.0549 data_time: 0.0048 memory: 736 2022/08/08 22:44:06 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:05:08 time: 0.0594 data_time: 0.0051 memory: 736 2022/08/08 22:44:07 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:04:46 time: 0.0552 data_time: 0.0047 memory: 736 2022/08/08 22:44:08 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:06:32 time: 0.0760 data_time: 0.0044 memory: 736 2022/08/08 22:44:10 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:05:08 time: 0.0600 data_time: 0.0065 memory: 736 2022/08/08 22:44:11 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:04:40 time: 0.0547 data_time: 0.0048 memory: 736 2022/08/08 22:44:12 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:04:14 time: 0.0499 data_time: 0.0044 memory: 736 2022/08/08 22:44:13 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:04:25 time: 0.0523 data_time: 0.0040 memory: 736 2022/08/08 22:44:14 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:04:26 time: 0.0526 data_time: 0.0055 memory: 736 2022/08/08 22:44:17 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:14:31 time: 0.1729 data_time: 0.1116 memory: 806 2022/08/08 22:44:20 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:11:44 time: 0.1403 data_time: 0.0734 memory: 806 2022/08/08 22:44:24 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:15:13 time: 0.1825 data_time: 0.1267 memory: 806 2022/08/08 22:44:27 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:12:22 time: 0.1490 data_time: 0.0869 memory: 806 2022/08/08 22:44:30 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:15:05 time: 0.1825 data_time: 0.0986 memory: 806 2022/08/08 22:44:33 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:11:31 time: 0.1400 data_time: 0.0804 memory: 806 2022/08/08 22:44:37 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:14:29 time: 0.1768 data_time: 0.1194 memory: 806 2022/08/08 22:44:39 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:11:09 time: 0.1366 data_time: 0.0820 memory: 806 2022/08/08 22:44:43 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:13:48 time: 0.1698 data_time: 0.1111 memory: 806 2022/08/08 22:44:45 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:10:50 time: 0.1337 data_time: 0.0751 memory: 806 2022/08/08 22:44:47 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:07:19 time: 0.0907 data_time: 0.0300 memory: 806 2022/08/08 22:44:49 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:07:05 time: 0.0883 data_time: 0.0055 memory: 806 2022/08/08 22:44:50 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:05:32 time: 0.0692 data_time: 0.0057 memory: 806 2022/08/08 22:44:52 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:05:21 time: 0.0672 data_time: 0.0062 memory: 806 2022/08/08 22:44:53 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:05:23 time: 0.0679 data_time: 0.0053 memory: 909 2022/08/08 22:44:55 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:06:32 time: 0.0827 data_time: 0.0085 memory: 909 2022/08/08 22:44:56 - mmengine - INFO - Epoch(val) [4][1560/6282] eta: 0:06:07 time: 0.0778 data_time: 0.0066 memory: 909 2022/08/08 22:44:58 - mmengine - INFO - Epoch(val) [4][1580/6282] eta: 0:06:14 time: 0.0796 data_time: 0.0065 memory: 909 2022/08/08 22:45:00 - mmengine - INFO - Epoch(val) [4][1600/6282] eta: 0:06:22 time: 0.0816 data_time: 0.0066 memory: 909 2022/08/08 22:45:02 - mmengine - INFO - Epoch(val) [4][1620/6282] eta: 0:08:48 time: 0.1133 data_time: 0.0062 memory: 909 2022/08/08 22:45:03 - mmengine - INFO - Epoch(val) [4][1640/6282] eta: 0:04:48 time: 0.0621 data_time: 0.0047 memory: 806 2022/08/08 22:45:04 - mmengine - INFO - Epoch(val) [4][1660/6282] eta: 0:04:50 time: 0.0628 data_time: 0.0060 memory: 806 2022/08/08 22:45:06 - mmengine - INFO - Epoch(val) [4][1680/6282] eta: 0:04:37 time: 0.0603 data_time: 0.0049 memory: 806 2022/08/08 22:45:07 - mmengine - INFO - Epoch(val) [4][1700/6282] eta: 0:04:38 time: 0.0608 data_time: 0.0045 memory: 806 2022/08/08 22:45:08 - mmengine - INFO - Epoch(val) [4][1720/6282] eta: 0:04:32 time: 0.0598 data_time: 0.0047 memory: 806 2022/08/08 22:45:09 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:04:29 time: 0.0594 data_time: 0.0045 memory: 806 2022/08/08 22:45:10 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:04:39 time: 0.0618 data_time: 0.0047 memory: 806 2022/08/08 22:45:12 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:05:07 time: 0.0683 data_time: 0.0054 memory: 806 2022/08/08 22:45:13 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:04:39 time: 0.0623 data_time: 0.0051 memory: 806 2022/08/08 22:45:14 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:04:49 time: 0.0649 data_time: 0.0047 memory: 806 2022/08/08 22:45:16 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:06:16 time: 0.0847 data_time: 0.0238 memory: 806 2022/08/08 22:45:20 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:13:08 time: 0.1783 data_time: 0.1184 memory: 806 2022/08/08 22:45:23 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:10:52 time: 0.1483 data_time: 0.0894 memory: 806 2022/08/08 22:45:26 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:12:11 time: 0.1669 data_time: 0.1076 memory: 806 2022/08/08 22:45:29 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:10:12 time: 0.1405 data_time: 0.0797 memory: 806 2022/08/08 22:45:31 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:07:41 time: 0.1062 data_time: 0.0460 memory: 806 2022/08/08 22:45:32 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:04:03 time: 0.0564 data_time: 0.0051 memory: 741 2022/08/08 22:45:33 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:04:11 time: 0.0585 data_time: 0.0051 memory: 741 2022/08/08 22:45:34 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:04:03 time: 0.0569 data_time: 0.0050 memory: 741 2022/08/08 22:45:36 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:04:00 time: 0.0564 data_time: 0.0059 memory: 741 2022/08/08 22:45:37 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:03:58 time: 0.0563 data_time: 0.0053 memory: 741 2022/08/08 22:45:38 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:05:34 time: 0.0793 data_time: 0.0040 memory: 741 2022/08/08 22:45:39 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:03:57 time: 0.0565 data_time: 0.0047 memory: 741 2022/08/08 22:45:41 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:04:01 time: 0.0577 data_time: 0.0054 memory: 741 2022/08/08 22:45:42 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:03:56 time: 0.0569 data_time: 0.0053 memory: 741 2022/08/08 22:45:43 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:03:42 time: 0.0537 data_time: 0.0038 memory: 741 2022/08/08 22:45:44 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:03:49 time: 0.0557 data_time: 0.0056 memory: 736 2022/08/08 22:45:45 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:03:56 time: 0.0576 data_time: 0.0065 memory: 736 2022/08/08 22:45:46 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:03:43 time: 0.0548 data_time: 0.0045 memory: 736 2022/08/08 22:45:47 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:03:42 time: 0.0547 data_time: 0.0038 memory: 736 2022/08/08 22:45:48 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:03:50 time: 0.0571 data_time: 0.0051 memory: 736 2022/08/08 22:45:50 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:03:49 time: 0.0571 data_time: 0.0056 memory: 741 2022/08/08 22:45:51 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:03:37 time: 0.0544 data_time: 0.0052 memory: 741 2022/08/08 22:45:52 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:04:01 time: 0.0606 data_time: 0.0074 memory: 741 2022/08/08 22:45:53 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:03:38 time: 0.0550 data_time: 0.0055 memory: 741 2022/08/08 22:45:54 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:03:42 time: 0.0565 data_time: 0.0064 memory: 741 2022/08/08 22:45:55 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:03:37 time: 0.0555 data_time: 0.0044 memory: 736 2022/08/08 22:45:56 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:04:00 time: 0.0617 data_time: 0.0077 memory: 736 2022/08/08 22:45:58 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:05:26 time: 0.0842 data_time: 0.0049 memory: 736 2022/08/08 22:45:59 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:03:42 time: 0.0576 data_time: 0.0041 memory: 736 2022/08/08 22:46:00 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:03:46 time: 0.0588 data_time: 0.0058 memory: 736 2022/08/08 22:46:02 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:05:08 time: 0.0808 data_time: 0.0213 memory: 806 2022/08/08 22:46:04 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:06:20 time: 0.1002 data_time: 0.0371 memory: 806 2022/08/08 22:46:06 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:04:51 time: 0.0769 data_time: 0.0180 memory: 806 2022/08/08 22:46:07 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:05:21 time: 0.0854 data_time: 0.0284 memory: 806 2022/08/08 22:46:10 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:07:43 time: 0.1240 data_time: 0.0629 memory: 806 2022/08/08 22:46:13 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:09:15 time: 0.1491 data_time: 0.0920 memory: 806 2022/08/08 22:46:17 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:11:34 time: 0.1876 data_time: 0.1016 memory: 806 2022/08/08 22:46:19 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:08:38 time: 0.1408 data_time: 0.0818 memory: 806 2022/08/08 22:46:23 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:10:28 time: 0.1717 data_time: 0.1122 memory: 806 2022/08/08 22:46:26 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:08:31 time: 0.1404 data_time: 0.0770 memory: 806 2022/08/08 22:46:27 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:04:40 time: 0.0775 data_time: 0.0052 memory: 899 2022/08/08 22:46:29 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:05:55 time: 0.0988 data_time: 0.0060 memory: 899 2022/08/08 22:46:31 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:04:34 time: 0.0766 data_time: 0.0060 memory: 899 2022/08/08 22:46:32 - mmengine - INFO - Epoch(val) [4][2720/6282] eta: 0:04:59 time: 0.0841 data_time: 0.0063 memory: 899 2022/08/08 22:46:34 - mmengine - INFO - Epoch(val) [4][2740/6282] eta: 0:04:42 time: 0.0797 data_time: 0.0079 memory: 899 2022/08/08 22:46:35 - mmengine - INFO - Epoch(val) [4][2760/6282] eta: 0:03:24 time: 0.0581 data_time: 0.0043 memory: 741 2022/08/08 22:46:36 - mmengine - INFO - Epoch(val) [4][2780/6282] eta: 0:03:26 time: 0.0589 data_time: 0.0055 memory: 741 2022/08/08 22:46:38 - mmengine - INFO - Epoch(val) [4][2800/6282] eta: 0:03:27 time: 0.0597 data_time: 0.0049 memory: 741 2022/08/08 22:46:39 - mmengine - INFO - Epoch(val) [4][2820/6282] eta: 0:03:30 time: 0.0607 data_time: 0.0066 memory: 741 2022/08/08 22:46:40 - mmengine - INFO - Epoch(val) [4][2840/6282] eta: 0:03:09 time: 0.0551 data_time: 0.0042 memory: 741 2022/08/08 22:46:41 - mmengine - INFO - Epoch(val) [4][2860/6282] eta: 0:03:44 time: 0.0656 data_time: 0.0089 memory: 806 2022/08/08 22:46:43 - mmengine - INFO - Epoch(val) [4][2880/6282] eta: 0:04:03 time: 0.0716 data_time: 0.0119 memory: 806 2022/08/08 22:46:44 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:03:36 time: 0.0640 data_time: 0.0068 memory: 806 2022/08/08 22:46:45 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:03:07 time: 0.0558 data_time: 0.0039 memory: 806 2022/08/08 22:46:46 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:02:57 time: 0.0530 data_time: 0.0036 memory: 769 2022/08/08 22:46:47 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:02:59 time: 0.0540 data_time: 0.0043 memory: 769 2022/08/08 22:46:48 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:03:17 time: 0.0598 data_time: 0.0044 memory: 769 2022/08/08 22:46:49 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:02:57 time: 0.0539 data_time: 0.0036 memory: 769 2022/08/08 22:46:51 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:03:08 time: 0.0579 data_time: 0.0039 memory: 806 2022/08/08 22:46:52 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:03:17 time: 0.0610 data_time: 0.0048 memory: 806 2022/08/08 22:46:53 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:03:31 time: 0.0656 data_time: 0.0045 memory: 806 2022/08/08 22:46:55 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:03:37 time: 0.0679 data_time: 0.0057 memory: 806 2022/08/08 22:46:56 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:03:21 time: 0.0634 data_time: 0.0047 memory: 806 2022/08/08 22:46:57 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:03:10 time: 0.0602 data_time: 0.0050 memory: 741 2022/08/08 22:46:58 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:03:13 time: 0.0617 data_time: 0.0059 memory: 741 2022/08/08 22:46:59 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:03:02 time: 0.0584 data_time: 0.0059 memory: 741 2022/08/08 22:47:01 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:02:51 time: 0.0554 data_time: 0.0039 memory: 741 2022/08/08 22:47:02 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:03:27 time: 0.0673 data_time: 0.0081 memory: 806 2022/08/08 22:47:04 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:04:33 time: 0.0894 data_time: 0.0262 memory: 806 2022/08/08 22:47:05 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:04:02 time: 0.0799 data_time: 0.0165 memory: 806 2022/08/08 22:47:07 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:04:43 time: 0.0940 data_time: 0.0360 memory: 806 2022/08/08 22:47:09 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:04:15 time: 0.0852 data_time: 0.0047 memory: 806 2022/08/08 22:47:10 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:02:57 time: 0.0595 data_time: 0.0046 memory: 806 2022/08/08 22:47:11 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:03:01 time: 0.0614 data_time: 0.0045 memory: 806 2022/08/08 22:47:13 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:03:09 time: 0.0644 data_time: 0.0043 memory: 806 2022/08/08 22:47:14 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:03:14 time: 0.0667 data_time: 0.0054 memory: 806 2022/08/08 22:47:15 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:03:01 time: 0.0624 data_time: 0.0052 memory: 806 2022/08/08 22:47:16 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:02:38 time: 0.0550 data_time: 0.0045 memory: 736 2022/08/08 22:47:17 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:02:32 time: 0.0534 data_time: 0.0037 memory: 736 2022/08/08 22:47:18 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:02:32 time: 0.0537 data_time: 0.0046 memory: 736 2022/08/08 22:47:19 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:02:26 time: 0.0520 data_time: 0.0045 memory: 736 2022/08/08 22:47:21 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:02:23 time: 0.0511 data_time: 0.0050 memory: 736 2022/08/08 22:47:22 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:02:20 time: 0.0504 data_time: 0.0035 memory: 736 2022/08/08 22:47:23 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:02:24 time: 0.0523 data_time: 0.0045 memory: 736 2022/08/08 22:47:24 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:02:22 time: 0.0521 data_time: 0.0046 memory: 736 2022/08/08 22:47:25 - mmengine - INFO - Epoch(val) [4][3560/6282] eta: 0:02:21 time: 0.0521 data_time: 0.0047 memory: 736 2022/08/08 22:47:26 - mmengine - INFO - Epoch(val) [4][3580/6282] eta: 0:02:20 time: 0.0522 data_time: 0.0043 memory: 786 2022/08/08 22:47:27 - mmengine - INFO - Epoch(val) [4][3600/6282] eta: 0:02:40 time: 0.0597 data_time: 0.0053 memory: 786 2022/08/08 22:47:29 - mmengine - INFO - Epoch(val) [4][3620/6282] eta: 0:03:52 time: 0.0873 data_time: 0.0057 memory: 786 2022/08/08 22:47:30 - mmengine - INFO - Epoch(val) [4][3640/6282] eta: 0:02:47 time: 0.0635 data_time: 0.0051 memory: 786 2022/08/08 22:47:31 - mmengine - INFO - Epoch(val) [4][3660/6282] eta: 0:02:43 time: 0.0625 data_time: 0.0051 memory: 786 2022/08/08 22:47:32 - mmengine - INFO - Epoch(val) [4][3680/6282] eta: 0:02:47 time: 0.0643 data_time: 0.0058 memory: 806 2022/08/08 22:47:34 - mmengine - INFO - Epoch(val) [4][3700/6282] eta: 0:04:02 time: 0.0940 data_time: 0.0310 memory: 806 2022/08/08 22:47:36 - mmengine - INFO - Epoch(val) [4][3720/6282] eta: 0:03:40 time: 0.0859 data_time: 0.0232 memory: 806 2022/08/08 22:47:38 - mmengine - INFO - Epoch(val) [4][3740/6282] eta: 0:03:44 time: 0.0882 data_time: 0.0263 memory: 806 2022/08/08 22:47:40 - mmengine - INFO - Epoch(val) [4][3760/6282] eta: 0:03:25 time: 0.0817 data_time: 0.0202 memory: 806 2022/08/08 22:47:41 - mmengine - INFO - Epoch(val) [4][3780/6282] eta: 0:03:51 time: 0.0924 data_time: 0.0293 memory: 806 2022/08/08 22:47:43 - mmengine - INFO - Epoch(val) [4][3800/6282] eta: 0:03:27 time: 0.0835 data_time: 0.0216 memory: 806 2022/08/08 22:47:45 - mmengine - INFO - Epoch(val) [4][3820/6282] eta: 0:03:51 time: 0.0942 data_time: 0.0307 memory: 806 2022/08/08 22:47:47 - mmengine - INFO - Epoch(val) [4][3840/6282] eta: 0:03:39 time: 0.0897 data_time: 0.0240 memory: 806 2022/08/08 22:47:49 - mmengine - INFO - Epoch(val) [4][3860/6282] eta: 0:04:14 time: 0.1050 data_time: 0.0159 memory: 806 2022/08/08 22:47:50 - mmengine - INFO - Epoch(val) [4][3880/6282] eta: 0:03:14 time: 0.0809 data_time: 0.0131 memory: 806 2022/08/08 22:47:52 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:03:02 time: 0.0766 data_time: 0.0134 memory: 806 2022/08/08 22:47:53 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:02:57 time: 0.0753 data_time: 0.0113 memory: 806 2022/08/08 22:47:55 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:02:59 time: 0.0765 data_time: 0.0117 memory: 806 2022/08/08 22:47:56 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:02:34 time: 0.0665 data_time: 0.0068 memory: 806 2022/08/08 22:47:58 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:02:18 time: 0.0601 data_time: 0.0041 memory: 806 2022/08/08 22:47:59 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:02:17 time: 0.0601 data_time: 0.0042 memory: 806 2022/08/08 22:48:00 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:02:12 time: 0.0584 data_time: 0.0038 memory: 806 2022/08/08 22:48:01 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:02:15 time: 0.0603 data_time: 0.0036 memory: 899 2022/08/08 22:48:03 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:02:31 time: 0.0682 data_time: 0.0040 memory: 899 2022/08/08 22:48:04 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:02:35 time: 0.0708 data_time: 0.0053 memory: 899 2022/08/08 22:48:05 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:02:46 time: 0.0762 data_time: 0.0056 memory: 899 2022/08/08 22:48:07 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:02:57 time: 0.0822 data_time: 0.0062 memory: 899 2022/08/08 22:48:09 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:03:32 time: 0.0991 data_time: 0.0064 memory: 899 2022/08/08 22:48:10 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:01:52 time: 0.0530 data_time: 0.0057 memory: 736 2022/08/08 22:48:11 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:01:57 time: 0.0561 data_time: 0.0060 memory: 736 2022/08/08 22:48:12 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:01:53 time: 0.0545 data_time: 0.0054 memory: 736 2022/08/08 22:48:14 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:01:53 time: 0.0552 data_time: 0.0042 memory: 736 2022/08/08 22:48:15 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:01:50 time: 0.0544 data_time: 0.0044 memory: 736 2022/08/08 22:48:16 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:01:49 time: 0.0540 data_time: 0.0043 memory: 735 2022/08/08 22:48:17 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:01:44 time: 0.0521 data_time: 0.0046 memory: 735 2022/08/08 22:48:18 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:01:38 time: 0.0499 data_time: 0.0045 memory: 735 2022/08/08 22:48:19 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:01:36 time: 0.0494 data_time: 0.0042 memory: 735 2022/08/08 22:48:20 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:01:40 time: 0.0517 data_time: 0.0037 memory: 735 2022/08/08 22:48:21 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:01:54 time: 0.0597 data_time: 0.0046 memory: 806 2022/08/08 22:48:22 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:01:56 time: 0.0614 data_time: 0.0056 memory: 806 2022/08/08 22:48:23 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:01:56 time: 0.0620 data_time: 0.0045 memory: 806 2022/08/08 22:48:25 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:01:59 time: 0.0640 data_time: 0.0044 memory: 806 2022/08/08 22:48:26 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:01:59 time: 0.0649 data_time: 0.0043 memory: 814 2022/08/08 22:48:27 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:01:57 time: 0.0645 data_time: 0.0052 memory: 814 2022/08/08 22:48:29 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:02:57 time: 0.0986 data_time: 0.0060 memory: 814 2022/08/08 22:48:31 - mmengine - INFO - Epoch(val) [4][4500/6282] eta: 0:02:01 time: 0.0680 data_time: 0.0054 memory: 814 2022/08/08 22:48:32 - mmengine - INFO - Epoch(val) [4][4520/6282] eta: 0:01:55 time: 0.0656 data_time: 0.0051 memory: 814 2022/08/08 22:48:33 - mmengine - INFO - Epoch(val) [4][4540/6282] eta: 0:01:40 time: 0.0576 data_time: 0.0043 memory: 742 2022/08/08 22:48:34 - mmengine - INFO - Epoch(val) [4][4560/6282] eta: 0:01:34 time: 0.0551 data_time: 0.0048 memory: 742 2022/08/08 22:48:35 - mmengine - INFO - Epoch(val) [4][4580/6282] eta: 0:01:33 time: 0.0547 data_time: 0.0042 memory: 742 2022/08/08 22:48:36 - mmengine - INFO - Epoch(val) [4][4600/6282] eta: 0:01:32 time: 0.0550 data_time: 0.0053 memory: 742 2022/08/08 22:48:37 - mmengine - INFO - Epoch(val) [4][4620/6282] eta: 0:01:27 time: 0.0528 data_time: 0.0042 memory: 742 2022/08/08 22:48:39 - mmengine - INFO - Epoch(val) [4][4640/6282] eta: 0:01:47 time: 0.0653 data_time: 0.0060 memory: 814 2022/08/08 22:48:40 - mmengine - INFO - Epoch(val) [4][4660/6282] eta: 0:01:40 time: 0.0620 data_time: 0.0047 memory: 814 2022/08/08 22:48:41 - mmengine - INFO - Epoch(val) [4][4680/6282] eta: 0:01:37 time: 0.0610 data_time: 0.0041 memory: 814 2022/08/08 22:48:43 - mmengine - INFO - Epoch(val) [4][4700/6282] eta: 0:01:39 time: 0.0630 data_time: 0.0046 memory: 814 2022/08/08 22:48:44 - mmengine - INFO - Epoch(val) [4][4720/6282] eta: 0:01:36 time: 0.0619 data_time: 0.0045 memory: 814 2022/08/08 22:48:45 - mmengine - INFO - Epoch(val) [4][4740/6282] eta: 0:01:27 time: 0.0567 data_time: 0.0058 memory: 766 2022/08/08 22:48:46 - mmengine - INFO - Epoch(val) [4][4760/6282] eta: 0:01:30 time: 0.0591 data_time: 0.0043 memory: 766 2022/08/08 22:48:47 - mmengine - INFO - Epoch(val) [4][4780/6282] eta: 0:01:25 time: 0.0566 data_time: 0.0047 memory: 766 2022/08/08 22:48:49 - mmengine - INFO - Epoch(val) [4][4800/6282] eta: 0:01:58 time: 0.0802 data_time: 0.0039 memory: 766 2022/08/08 22:48:50 - mmengine - INFO - Epoch(val) [4][4820/6282] eta: 0:01:28 time: 0.0603 data_time: 0.0053 memory: 806 2022/08/08 22:48:51 - mmengine - INFO - Epoch(val) [4][4840/6282] eta: 0:01:32 time: 0.0639 data_time: 0.0048 memory: 806 2022/08/08 22:48:53 - mmengine - INFO - Epoch(val) [4][4860/6282] eta: 0:01:30 time: 0.0639 data_time: 0.0060 memory: 806 2022/08/08 22:48:54 - mmengine - INFO - Epoch(val) [4][4880/6282] eta: 0:01:29 time: 0.0638 data_time: 0.0056 memory: 806 2022/08/08 22:48:55 - mmengine - INFO - Epoch(val) [4][4900/6282] eta: 0:01:23 time: 0.0603 data_time: 0.0039 memory: 806 2022/08/08 22:48:56 - mmengine - INFO - Epoch(val) [4][4920/6282] eta: 0:01:24 time: 0.0623 data_time: 0.0047 memory: 809 2022/08/08 22:48:58 - mmengine - INFO - Epoch(val) [4][4940/6282] eta: 0:01:23 time: 0.0624 data_time: 0.0049 memory: 809 2022/08/08 22:48:59 - mmengine - INFO - Epoch(val) [4][4960/6282] eta: 0:01:25 time: 0.0649 data_time: 0.0049 memory: 809 2022/08/08 22:49:00 - mmengine - INFO - Epoch(val) [4][4980/6282] eta: 0:01:29 time: 0.0684 data_time: 0.0063 memory: 809 2022/08/08 22:49:02 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:01:24 time: 0.0656 data_time: 0.0048 memory: 809 2022/08/08 22:49:03 - mmengine - INFO - Epoch(val) [4][5020/6282] eta: 0:01:44 time: 0.0829 data_time: 0.0039 memory: 809 2022/08/08 22:49:04 - mmengine - INFO - Epoch(val) [4][5040/6282] eta: 0:01:09 time: 0.0557 data_time: 0.0053 memory: 741 2022/08/08 22:49:05 - mmengine - INFO - Epoch(val) [4][5060/6282] eta: 0:01:06 time: 0.0541 data_time: 0.0057 memory: 741 2022/08/08 22:49:07 - mmengine - INFO - Epoch(val) [4][5080/6282] eta: 0:01:08 time: 0.0572 data_time: 0.0055 memory: 741 2022/08/08 22:49:08 - mmengine - INFO - Epoch(val) [4][5100/6282] eta: 0:01:12 time: 0.0615 data_time: 0.0041 memory: 741 2022/08/08 22:49:09 - mmengine - INFO - Epoch(val) [4][5120/6282] eta: 0:01:03 time: 0.0547 data_time: 0.0042 memory: 741 2022/08/08 22:49:10 - mmengine - INFO - Epoch(val) [4][5140/6282] eta: 0:01:01 time: 0.0538 data_time: 0.0048 memory: 736 2022/08/08 22:49:11 - mmengine - INFO - Epoch(val) [4][5160/6282] eta: 0:01:01 time: 0.0549 data_time: 0.0039 memory: 736 2022/08/08 22:49:12 - mmengine - INFO - Epoch(val) [4][5180/6282] eta: 0:01:00 time: 0.0549 data_time: 0.0069 memory: 736 2022/08/08 22:49:13 - mmengine - INFO - Epoch(val) [4][5200/6282] eta: 0:01:00 time: 0.0561 data_time: 0.0046 memory: 736 2022/08/08 22:49:15 - mmengine - INFO - Epoch(val) [4][5220/6282] eta: 0:01:23 time: 0.0784 data_time: 0.0048 memory: 736 2022/08/08 22:49:16 - mmengine - INFO - Epoch(val) [4][5240/6282] eta: 0:00:56 time: 0.0540 data_time: 0.0039 memory: 735 2022/08/08 22:49:17 - mmengine - INFO - Epoch(val) [4][5260/6282] eta: 0:00:57 time: 0.0558 data_time: 0.0061 memory: 735 2022/08/08 22:49:18 - mmengine - INFO - Epoch(val) [4][5280/6282] eta: 0:00:57 time: 0.0573 data_time: 0.0063 memory: 735 2022/08/08 22:49:19 - mmengine - INFO - Epoch(val) [4][5300/6282] eta: 0:00:54 time: 0.0558 data_time: 0.0060 memory: 735 2022/08/08 22:49:21 - mmengine - INFO - Epoch(val) [4][5320/6282] eta: 0:00:52 time: 0.0550 data_time: 0.0059 memory: 736 2022/08/08 22:49:22 - mmengine - INFO - Epoch(val) [4][5340/6282] eta: 0:00:54 time: 0.0578 data_time: 0.0057 memory: 736 2022/08/08 22:49:23 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:00:51 time: 0.0560 data_time: 0.0055 memory: 736 2022/08/08 22:49:24 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:00:50 time: 0.0559 data_time: 0.0052 memory: 736 2022/08/08 22:49:25 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:00:50 time: 0.0572 data_time: 0.0062 memory: 736 2022/08/08 22:49:26 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:47 time: 0.0549 data_time: 0.0045 memory: 736 2022/08/08 22:49:27 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:46 time: 0.0557 data_time: 0.0046 memory: 736 2022/08/08 22:49:29 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:01:02 time: 0.0763 data_time: 0.0054 memory: 736 2022/08/08 22:49:30 - mmengine - INFO - Epoch(val) [4][5480/6282] eta: 0:00:43 time: 0.0538 data_time: 0.0053 memory: 736 2022/08/08 22:49:31 - mmengine - INFO - Epoch(val) [4][5500/6282] eta: 0:00:45 time: 0.0587 data_time: 0.0057 memory: 736 2022/08/08 22:49:32 - mmengine - INFO - Epoch(val) [4][5520/6282] eta: 0:00:43 time: 0.0569 data_time: 0.0040 memory: 761 2022/08/08 22:49:33 - mmengine - INFO - Epoch(val) [4][5540/6282] eta: 0:00:43 time: 0.0590 data_time: 0.0046 memory: 761 2022/08/08 22:49:35 - mmengine - INFO - Epoch(val) [4][5560/6282] eta: 0:00:42 time: 0.0584 data_time: 0.0057 memory: 761 2022/08/08 22:49:36 - mmengine - INFO - Epoch(val) [4][5580/6282] eta: 0:00:40 time: 0.0573 data_time: 0.0051 memory: 761 2022/08/08 22:49:37 - mmengine - INFO - Epoch(val) [4][5600/6282] eta: 0:00:40 time: 0.0591 data_time: 0.0048 memory: 761 2022/08/08 22:49:38 - mmengine - INFO - Epoch(val) [4][5620/6282] eta: 0:00:36 time: 0.0554 data_time: 0.0044 memory: 761 2022/08/08 22:49:39 - mmengine - INFO - Epoch(val) [4][5640/6282] eta: 0:00:34 time: 0.0537 data_time: 0.0044 memory: 736 2022/08/08 22:49:40 - mmengine - INFO - Epoch(val) [4][5660/6282] eta: 0:00:31 time: 0.0505 data_time: 0.0042 memory: 736 2022/08/08 22:49:41 - mmengine - INFO - Epoch(val) [4][5680/6282] eta: 0:00:31 time: 0.0517 data_time: 0.0039 memory: 736 2022/08/08 22:49:42 - mmengine - INFO - Epoch(val) [4][5700/6282] eta: 0:00:29 time: 0.0507 data_time: 0.0040 memory: 736 2022/08/08 22:49:43 - mmengine - INFO - Epoch(val) [4][5720/6282] eta: 0:00:29 time: 0.0523 data_time: 0.0048 memory: 777 2022/08/08 22:49:44 - mmengine - INFO - Epoch(val) [4][5740/6282] eta: 0:00:30 time: 0.0571 data_time: 0.0049 memory: 777 2022/08/08 22:49:46 - mmengine - INFO - Epoch(val) [4][5760/6282] eta: 0:00:31 time: 0.0595 data_time: 0.0045 memory: 777 2022/08/08 22:49:47 - mmengine - INFO - Epoch(val) [4][5780/6282] eta: 0:00:29 time: 0.0581 data_time: 0.0055 memory: 777 2022/08/08 22:49:48 - mmengine - INFO - Epoch(val) [4][5800/6282] eta: 0:00:40 time: 0.0845 data_time: 0.0045 memory: 777 2022/08/08 22:49:50 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:26 time: 0.0566 data_time: 0.0069 memory: 777 2022/08/08 22:49:51 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:24 time: 0.0565 data_time: 0.0035 memory: 761 2022/08/08 22:49:52 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:23 time: 0.0563 data_time: 0.0044 memory: 761 2022/08/08 22:49:53 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:23 time: 0.0574 data_time: 0.0048 memory: 761 2022/08/08 22:49:54 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:22 time: 0.0592 data_time: 0.0054 memory: 761 2022/08/08 22:49:55 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:19 time: 0.0541 data_time: 0.0046 memory: 761 2022/08/08 22:49:56 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:18 time: 0.0534 data_time: 0.0063 memory: 736 2022/08/08 22:49:57 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:16 time: 0.0513 data_time: 0.0035 memory: 736 2022/08/08 22:49:59 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:16 time: 0.0562 data_time: 0.0048 memory: 736 2022/08/08 22:50:00 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:17 time: 0.0625 data_time: 0.0047 memory: 806 2022/08/08 22:50:02 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:26 time: 0.1020 data_time: 0.0051 memory: 806 2022/08/08 22:50:03 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:17 time: 0.0710 data_time: 0.0073 memory: 806 2022/08/08 22:50:05 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:15 time: 0.0686 data_time: 0.0074 memory: 806 2022/08/08 22:50:06 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:13 time: 0.0685 data_time: 0.0083 memory: 806 2022/08/08 22:50:08 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:13 time: 0.0767 data_time: 0.0157 memory: 806 2022/08/08 22:50:09 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:14 time: 0.0868 data_time: 0.0063 memory: 806 2022/08/08 22:50:11 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:11 time: 0.0784 data_time: 0.0195 memory: 806 2022/08/08 22:50:12 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:08 time: 0.0680 data_time: 0.0120 memory: 806 2022/08/08 22:50:13 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:06 time: 0.0625 data_time: 0.0069 memory: 806 2022/08/08 22:50:15 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:04 time: 0.0566 data_time: 0.0031 memory: 806 2022/08/08 22:50:16 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:03 time: 0.0548 data_time: 0.0030 memory: 806 2022/08/08 22:50:17 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:02 time: 0.0540 data_time: 0.0032 memory: 806 2022/08/08 22:50:18 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:01 time: 0.0545 data_time: 0.0028 memory: 806 2022/08/08 22:50:19 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0722 data_time: 0.0031 memory: 806 2022/08/08 22:55:21 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.2422 2022/08/08 22:55:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2022/08/08 22:55:29 - mmengine - INFO - The best checkpoint with 0.2422 mAP/mAP@0.5IOU at 5 epoch is saved to best_mAP/mAP@0.5IOU_epoch_5.pth. 2022/08/08 22:55:52 - mmengine - INFO - Epoch(train) [5][20/2881] lr: 1.0000e-01 eta: 8:59:35 time: 1.1675 data_time: 0.5132 memory: 13802 grad_norm: 0.1419 recall@thr=0.5: 0.7306 prec@thr=0.5: 0.7667 recall@top3: 0.7583 prec@top3: 0.6778 recall@top5: 0.8722 prec@top5: 0.4800 loss_action_cls: 0.0539 loss: 0.0539 2022/08/08 22:56:10 - mmengine - INFO - Epoch(train) [5][40/2881] lr: 1.0000e-01 eta: 8:59:35 time: 0.8784 data_time: 0.0282 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.7932 prec@thr=0.5: 0.8642 recall@top3: 0.8457 prec@top3: 0.8272 recall@top5: 1.0000 prec@top5: 0.5926 loss_action_cls: 0.0656 loss: 0.0656 2022/08/08 22:56:28 - mmengine - INFO - Epoch(train) [5][60/2881] lr: 1.0000e-01 eta: 8:59:38 time: 0.9124 data_time: 0.0236 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.8788 recall@top3: 0.7424 prec@top3: 0.5455 recall@top5: 0.9091 prec@top5: 0.4091 loss_action_cls: 0.0559 loss: 0.0559 2022/08/08 22:56:40 - mmengine - INFO - Epoch(train) [5][80/2881] lr: 1.0000e-01 eta: 8:59:17 time: 0.6219 data_time: 0.0250 memory: 13802 grad_norm: 0.1513 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.7000 recall@top3: 0.6500 prec@top3: 0.4500 recall@top5: 0.9333 prec@top5: 0.3800 loss_action_cls: 0.0456 loss: 0.0456 2022/08/08 22:56:53 - mmengine - INFO - Epoch(train) [5][100/2881] lr: 1.0000e-01 eta: 8:58:56 time: 0.6150 data_time: 0.0232 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.6994 prec@thr=0.5: 0.7589 recall@top3: 0.7857 prec@top3: 0.6071 recall@top5: 0.9464 prec@top5: 0.4571 loss_action_cls: 0.0449 loss: 0.0449 2022/08/08 22:57:05 - mmengine - INFO - Epoch(train) [5][120/2881] lr: 1.0000e-01 eta: 8:58:36 time: 0.6308 data_time: 0.0208 memory: 13802 grad_norm: 0.1495 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.8016 recall@top3: 0.8984 prec@top3: 0.7302 recall@top5: 0.9651 prec@top5: 0.4762 loss_action_cls: 0.0531 loss: 0.0531 2022/08/08 22:57:18 - mmengine - INFO - Epoch(train) [5][140/2881] lr: 1.0000e-01 eta: 8:58:17 time: 0.6364 data_time: 0.0211 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9524 recall@top3: 0.8452 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0544 loss: 0.0544 2022/08/08 22:57:31 - mmengine - INFO - Epoch(train) [5][160/2881] lr: 1.0000e-01 eta: 8:57:58 time: 0.6438 data_time: 0.0197 memory: 13802 grad_norm: 0.1446 recall@thr=0.5: 0.6151 prec@thr=0.5: 0.7381 recall@top3: 0.8175 prec@top3: 0.7302 recall@top5: 0.8929 prec@top5: 0.4952 loss_action_cls: 0.0524 loss: 0.0524 2022/08/08 22:57:43 - mmengine - INFO - Epoch(train) [5][180/2881] lr: 1.0000e-01 eta: 8:57:39 time: 0.6278 data_time: 0.0209 memory: 13802 grad_norm: 0.1579 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.7273 recall@top3: 0.6439 prec@top3: 0.6061 recall@top5: 0.8712 prec@top5: 0.4909 loss_action_cls: 0.0478 loss: 0.0478 2022/08/08 22:57:56 - mmengine - INFO - Epoch(train) [5][200/2881] lr: 1.0000e-01 eta: 8:57:19 time: 0.6293 data_time: 0.0215 memory: 13802 grad_norm: 0.1547 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8947 recall@top3: 0.8640 prec@top3: 0.8596 recall@top5: 0.9825 prec@top5: 0.6000 loss_action_cls: 0.0454 loss: 0.0454 2022/08/08 22:58:09 - mmengine - INFO - Epoch(train) [5][220/2881] lr: 1.0000e-01 eta: 8:57:00 time: 0.6365 data_time: 0.0251 memory: 13802 grad_norm: 0.1589 recall@thr=0.5: 0.4964 prec@thr=0.5: 0.5870 recall@top3: 0.5399 prec@top3: 0.5797 recall@top5: 0.7971 prec@top5: 0.4870 loss_action_cls: 0.0531 loss: 0.0531 2022/08/08 22:58:22 - mmengine - INFO - Epoch(train) [5][240/2881] lr: 1.0000e-01 eta: 8:56:41 time: 0.6490 data_time: 0.0237 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.6600 recall@top3: 0.7900 prec@top3: 0.6400 recall@top5: 0.9700 prec@top5: 0.4560 loss_action_cls: 0.0503 loss: 0.0503 2022/08/08 22:58:34 - mmengine - INFO - Epoch(train) [5][260/2881] lr: 1.0000e-01 eta: 8:56:21 time: 0.6262 data_time: 0.0223 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6930 recall@top3: 0.8596 prec@top3: 0.5439 recall@top5: 0.9825 prec@top5: 0.3895 loss_action_cls: 0.0593 loss: 0.0593 2022/08/08 22:58:46 - mmengine - INFO - Epoch(train) [5][280/2881] lr: 1.0000e-01 eta: 8:56:00 time: 0.6041 data_time: 0.0215 memory: 13802 grad_norm: 0.1418 recall@thr=0.5: 0.6815 prec@thr=0.5: 0.7560 recall@top3: 0.7589 prec@top3: 0.6429 recall@top5: 0.9375 prec@top5: 0.4786 loss_action_cls: 0.0501 loss: 0.0501 2022/08/08 22:58:59 - mmengine - INFO - Epoch(train) [5][300/2881] lr: 1.0000e-01 eta: 8:55:41 time: 0.6389 data_time: 0.0226 memory: 13802 grad_norm: 0.1494 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.7778 recall@top3: 0.7546 prec@top3: 0.6296 recall@top5: 0.8333 prec@top5: 0.4222 loss_action_cls: 0.0510 loss: 0.0510 2022/08/08 22:59:12 - mmengine - INFO - Epoch(train) [5][320/2881] lr: 1.0000e-01 eta: 8:55:21 time: 0.6283 data_time: 0.0234 memory: 13802 grad_norm: 0.1542 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6618 recall@top3: 0.7647 prec@top3: 0.5686 recall@top5: 0.9118 prec@top5: 0.4353 loss_action_cls: 0.0567 loss: 0.0567 2022/08/08 22:59:24 - mmengine - INFO - Epoch(train) [5][340/2881] lr: 1.0000e-01 eta: 8:55:02 time: 0.6313 data_time: 0.0204 memory: 13802 grad_norm: 0.1376 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6549 recall@top3: 0.7402 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4824 loss_action_cls: 0.0517 loss: 0.0517 2022/08/08 22:59:37 - mmengine - INFO - Epoch(train) [5][360/2881] lr: 1.0000e-01 eta: 8:54:43 time: 0.6397 data_time: 0.0227 memory: 13802 grad_norm: 0.1435 recall@thr=0.5: 0.5920 prec@thr=0.5: 0.7006 recall@top3: 0.7557 prec@top3: 0.7126 recall@top5: 0.9425 prec@top5: 0.5448 loss_action_cls: 0.0544 loss: 0.0544 2022/08/08 22:59:50 - mmengine - INFO - Epoch(train) [5][380/2881] lr: 1.0000e-01 eta: 8:54:23 time: 0.6249 data_time: 0.0211 memory: 13802 grad_norm: 0.1596 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8241 recall@top3: 0.8611 prec@top3: 0.7037 recall@top5: 0.8981 prec@top5: 0.4444 loss_action_cls: 0.0565 loss: 0.0565 2022/08/08 23:00:02 - mmengine - INFO - Epoch(train) [5][400/2881] lr: 1.0000e-01 eta: 8:54:03 time: 0.6222 data_time: 0.0235 memory: 13802 grad_norm: 0.1566 recall@thr=0.5: 0.6426 prec@thr=0.5: 0.7500 recall@top3: 0.9556 prec@top3: 0.6852 recall@top5: 0.9778 prec@top5: 0.4333 loss_action_cls: 0.0501 loss: 0.0501 2022/08/08 23:00:15 - mmengine - INFO - Epoch(train) [5][420/2881] lr: 1.0000e-01 eta: 8:53:44 time: 0.6320 data_time: 0.0226 memory: 13802 grad_norm: 0.1433 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7500 recall@top3: 0.7917 prec@top3: 0.4833 recall@top5: 0.8750 prec@top5: 0.3400 loss_action_cls: 0.0518 loss: 0.0518 2022/08/08 23:00:27 - mmengine - INFO - Epoch(train) [5][440/2881] lr: 1.0000e-01 eta: 8:53:24 time: 0.6271 data_time: 0.0221 memory: 13802 grad_norm: 0.1524 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.6486 recall@top3: 0.6558 prec@top3: 0.6232 recall@top5: 0.7536 prec@top5: 0.4348 loss_action_cls: 0.0541 loss: 0.0541 2022/08/08 23:00:40 - mmengine - INFO - Epoch(train) [5][460/2881] lr: 1.0000e-01 eta: 8:53:04 time: 0.6243 data_time: 0.0215 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.6674 prec@thr=0.5: 0.7639 recall@top3: 0.7333 prec@top3: 0.6806 recall@top5: 0.8688 prec@top5: 0.4833 loss_action_cls: 0.0497 loss: 0.0497 2022/08/08 23:00:49 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 23:00:52 - mmengine - INFO - Epoch(train) [5][480/2881] lr: 1.0000e-01 eta: 8:52:42 time: 0.6025 data_time: 0.0216 memory: 13802 grad_norm: 0.1516 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8137 recall@top3: 0.9118 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.4000 loss_action_cls: 0.0526 loss: 0.0526 2022/08/08 23:01:04 - mmengine - INFO - Epoch(train) [5][500/2881] lr: 1.0000e-01 eta: 8:52:23 time: 0.6293 data_time: 0.0210 memory: 13802 grad_norm: 0.1607 recall@thr=0.5: 0.5764 prec@thr=0.5: 0.8125 recall@top3: 0.7222 prec@top3: 0.6528 recall@top5: 0.9306 prec@top5: 0.5250 loss_action_cls: 0.0553 loss: 0.0553 2022/08/08 23:01:16 - mmengine - INFO - Epoch(train) [5][520/2881] lr: 1.0000e-01 eta: 8:52:02 time: 0.6021 data_time: 0.0221 memory: 13802 grad_norm: 0.1546 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.6944 recall@top3: 0.7917 prec@top3: 0.5278 recall@top5: 0.9583 prec@top5: 0.3583 loss_action_cls: 0.0513 loss: 0.0513 2022/08/08 23:01:29 - mmengine - INFO - Epoch(train) [5][540/2881] lr: 1.0000e-01 eta: 8:51:43 time: 0.6356 data_time: 0.0213 memory: 13802 grad_norm: 0.1598 recall@thr=0.5: 0.5920 prec@thr=0.5: 0.7011 recall@top3: 0.6897 prec@top3: 0.5287 recall@top5: 0.9138 prec@top5: 0.4207 loss_action_cls: 0.0550 loss: 0.0550 2022/08/08 23:01:42 - mmengine - INFO - Epoch(train) [5][560/2881] lr: 1.0000e-01 eta: 8:51:23 time: 0.6304 data_time: 0.0224 memory: 13802 grad_norm: 0.1441 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8254 recall@top3: 0.7857 prec@top3: 0.7302 recall@top5: 0.9127 prec@top5: 0.5143 loss_action_cls: 0.0506 loss: 0.0506 2022/08/08 23:01:54 - mmengine - INFO - Epoch(train) [5][580/2881] lr: 1.0000e-01 eta: 8:51:02 time: 0.6069 data_time: 0.0216 memory: 13802 grad_norm: 0.1466 recall@thr=0.5: 0.5574 prec@thr=0.5: 0.7222 recall@top3: 0.7491 prec@top3: 0.6481 recall@top5: 0.9222 prec@top5: 0.4667 loss_action_cls: 0.0516 loss: 0.0516 2022/08/08 23:02:07 - mmengine - INFO - Epoch(train) [5][600/2881] lr: 1.0000e-01 eta: 8:50:44 time: 0.6369 data_time: 0.0222 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7193 recall@top3: 0.8202 prec@top3: 0.6140 recall@top5: 0.9211 prec@top5: 0.4316 loss_action_cls: 0.0549 loss: 0.0549 2022/08/08 23:02:19 - mmengine - INFO - Epoch(train) [5][620/2881] lr: 1.0000e-01 eta: 8:50:23 time: 0.6154 data_time: 0.0235 memory: 13802 grad_norm: 0.1453 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.8148 recall@top3: 0.8380 prec@top3: 0.7222 recall@top5: 0.9352 prec@top5: 0.5000 loss_action_cls: 0.0521 loss: 0.0521 2022/08/08 23:02:32 - mmengine - INFO - Epoch(train) [5][640/2881] lr: 1.0000e-01 eta: 8:50:05 time: 0.6394 data_time: 0.0236 memory: 13802 grad_norm: 0.1488 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8519 recall@top3: 0.9352 prec@top3: 0.7963 recall@top5: 0.9815 prec@top5: 0.5000 loss_action_cls: 0.0547 loss: 0.0547 2022/08/08 23:02:44 - mmengine - INFO - Epoch(train) [5][660/2881] lr: 1.0000e-01 eta: 8:49:45 time: 0.6265 data_time: 0.0203 memory: 13802 grad_norm: 0.1556 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8241 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9537 prec@top5: 0.4333 loss_action_cls: 0.0523 loss: 0.0523 2022/08/08 23:02:57 - mmengine - INFO - Epoch(train) [5][680/2881] lr: 1.0000e-01 eta: 8:49:25 time: 0.6123 data_time: 0.0213 memory: 13802 grad_norm: 0.1586 recall@thr=0.5: 0.6433 prec@thr=0.5: 0.6600 recall@top3: 0.8200 prec@top3: 0.4933 recall@top5: 0.8933 prec@top5: 0.3440 loss_action_cls: 0.0581 loss: 0.0581 2022/08/08 23:03:09 - mmengine - INFO - Epoch(train) [5][700/2881] lr: 1.0000e-01 eta: 8:49:05 time: 0.6265 data_time: 0.0203 memory: 13802 grad_norm: 0.1542 recall@thr=0.5: 0.6451 prec@thr=0.5: 0.7506 recall@top3: 0.8488 prec@top3: 0.6296 recall@top5: 0.9506 prec@top5: 0.4296 loss_action_cls: 0.0481 loss: 0.0481 2022/08/08 23:03:22 - mmengine - INFO - Epoch(train) [5][720/2881] lr: 1.0000e-01 eta: 8:48:46 time: 0.6288 data_time: 0.0225 memory: 13802 grad_norm: 0.1577 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.8718 recall@top3: 0.8846 prec@top3: 0.6667 recall@top5: 0.9872 prec@top5: 0.4538 loss_action_cls: 0.0540 loss: 0.0540 2022/08/08 23:03:34 - mmengine - INFO - Epoch(train) [5][740/2881] lr: 1.0000e-01 eta: 8:48:25 time: 0.6057 data_time: 0.0224 memory: 13802 grad_norm: 0.1457 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7879 recall@top3: 0.7727 prec@top3: 0.5000 recall@top5: 0.8712 prec@top5: 0.3545 loss_action_cls: 0.0554 loss: 0.0554 2022/08/08 23:03:46 - mmengine - INFO - Epoch(train) [5][760/2881] lr: 1.0000e-01 eta: 8:48:06 time: 0.6285 data_time: 0.0226 memory: 13802 grad_norm: 0.1574 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.8116 recall@top3: 0.8188 prec@top3: 0.7101 recall@top5: 0.9348 prec@top5: 0.4957 loss_action_cls: 0.0551 loss: 0.0551 2022/08/08 23:03:58 - mmengine - INFO - Epoch(train) [5][780/2881] lr: 1.0000e-01 eta: 8:47:46 time: 0.6079 data_time: 0.0227 memory: 13802 grad_norm: 0.1408 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8750 recall@top3: 0.8958 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0556 loss: 0.0556 2022/08/08 23:04:11 - mmengine - INFO - Epoch(train) [5][800/2881] lr: 1.0000e-01 eta: 8:47:27 time: 0.6309 data_time: 0.0214 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.8333 recall@top3: 0.7917 prec@top3: 0.7121 recall@top5: 0.9242 prec@top5: 0.5182 loss_action_cls: 0.0515 loss: 0.0515 2022/08/08 23:04:24 - mmengine - INFO - Epoch(train) [5][820/2881] lr: 1.0000e-01 eta: 8:47:07 time: 0.6215 data_time: 0.0216 memory: 13802 grad_norm: 0.1446 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7963 recall@top3: 0.8056 prec@top3: 0.5926 recall@top5: 0.8426 prec@top5: 0.3778 loss_action_cls: 0.0407 loss: 0.0407 2022/08/08 23:04:36 - mmengine - INFO - Epoch(train) [5][840/2881] lr: 1.0000e-01 eta: 8:46:46 time: 0.6050 data_time: 0.0228 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.7992 recall@top3: 0.7424 prec@top3: 0.6515 recall@top5: 0.9318 prec@top5: 0.5000 loss_action_cls: 0.0519 loss: 0.0519 2022/08/08 23:04:48 - mmengine - INFO - Epoch(train) [5][860/2881] lr: 1.0000e-01 eta: 8:46:28 time: 0.6419 data_time: 0.0269 memory: 13802 grad_norm: 0.1467 recall@thr=0.5: 0.5038 prec@thr=0.5: 0.6932 recall@top3: 0.6439 prec@top3: 0.5455 recall@top5: 0.8523 prec@top5: 0.4091 loss_action_cls: 0.0563 loss: 0.0563 2022/08/08 23:05:01 - mmengine - INFO - Epoch(train) [5][880/2881] lr: 1.0000e-01 eta: 8:46:08 time: 0.6126 data_time: 0.0239 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.5618 prec@thr=0.5: 0.6979 recall@top3: 0.6222 prec@top3: 0.5694 recall@top5: 0.9549 prec@top5: 0.5417 loss_action_cls: 0.0513 loss: 0.0513 2022/08/08 23:05:14 - mmengine - INFO - Epoch(train) [5][900/2881] lr: 1.0000e-01 eta: 8:45:50 time: 0.6494 data_time: 0.0215 memory: 13802 grad_norm: 0.1413 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8968 recall@top3: 0.7698 prec@top3: 0.6984 recall@top5: 0.9365 prec@top5: 0.5143 loss_action_cls: 0.0566 loss: 0.0566 2022/08/08 23:05:26 - mmengine - INFO - Epoch(train) [5][920/2881] lr: 1.0000e-01 eta: 8:45:31 time: 0.6287 data_time: 0.0213 memory: 13802 grad_norm: 0.1471 recall@thr=0.5: 0.5765 prec@thr=0.5: 0.7462 recall@top3: 0.6712 prec@top3: 0.6970 recall@top5: 0.8735 prec@top5: 0.5545 loss_action_cls: 0.0444 loss: 0.0444 2022/08/08 23:05:38 - mmengine - INFO - Epoch(train) [5][940/2881] lr: 1.0000e-01 eta: 8:45:11 time: 0.6100 data_time: 0.0222 memory: 13802 grad_norm: 0.1501 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6000 recall@top3: 0.7722 prec@top3: 0.6444 recall@top5: 0.9000 prec@top5: 0.4667 loss_action_cls: 0.0569 loss: 0.0569 2022/08/08 23:05:51 - mmengine - INFO - Epoch(train) [5][960/2881] lr: 1.0000e-01 eta: 8:44:53 time: 0.6430 data_time: 0.0232 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.7267 recall@top3: 0.8667 prec@top3: 0.4800 recall@top5: 0.9667 prec@top5: 0.3280 loss_action_cls: 0.0544 loss: 0.0544 2022/08/08 23:06:04 - mmengine - INFO - Epoch(train) [5][980/2881] lr: 1.0000e-01 eta: 8:44:35 time: 0.6391 data_time: 0.0222 memory: 13802 grad_norm: 0.1468 recall@thr=0.5: 0.5801 prec@thr=0.5: 0.8846 recall@top3: 0.7628 prec@top3: 0.7051 recall@top5: 0.9359 prec@top5: 0.5308 loss_action_cls: 0.0490 loss: 0.0490 2022/08/08 23:06:16 - mmengine - INFO - Epoch(train) [5][1000/2881] lr: 1.0000e-01 eta: 8:44:14 time: 0.6070 data_time: 0.0216 memory: 13802 grad_norm: 0.1406 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7958 recall@top3: 0.8250 prec@top3: 0.7333 recall@top5: 0.9208 prec@top5: 0.4900 loss_action_cls: 0.0504 loss: 0.0504 2022/08/08 23:06:29 - mmengine - INFO - Epoch(train) [5][1020/2881] lr: 1.0000e-01 eta: 8:43:55 time: 0.6262 data_time: 0.0206 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7187 recall@top3: 0.8438 prec@top3: 0.6875 recall@top5: 0.9531 prec@top5: 0.4812 loss_action_cls: 0.0467 loss: 0.0467 2022/08/08 23:06:41 - mmengine - INFO - Epoch(train) [5][1040/2881] lr: 1.0000e-01 eta: 8:43:36 time: 0.6302 data_time: 0.0220 memory: 13802 grad_norm: 0.1460 recall@thr=0.5: 0.6192 prec@thr=0.5: 0.8308 recall@top3: 0.6859 prec@top3: 0.7475 recall@top5: 0.8919 prec@top5: 0.6061 loss_action_cls: 0.0513 loss: 0.0513 2022/08/08 23:06:54 - mmengine - INFO - Epoch(train) [5][1060/2881] lr: 1.0000e-01 eta: 8:43:17 time: 0.6137 data_time: 0.0219 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.6196 prec@thr=0.5: 0.5978 recall@top3: 0.7065 prec@top3: 0.5507 recall@top5: 0.8152 prec@top5: 0.3913 loss_action_cls: 0.0508 loss: 0.0508 2022/08/08 23:07:06 - mmengine - INFO - Epoch(train) [5][1080/2881] lr: 1.0000e-01 eta: 8:42:57 time: 0.6237 data_time: 0.0239 memory: 13802 grad_norm: 0.1483 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7115 recall@top3: 0.7756 prec@top3: 0.6667 recall@top5: 0.9615 prec@top5: 0.5000 loss_action_cls: 0.0473 loss: 0.0473 2022/08/08 23:07:19 - mmengine - INFO - Epoch(train) [5][1100/2881] lr: 1.0000e-01 eta: 8:42:38 time: 0.6244 data_time: 0.0259 memory: 13802 grad_norm: 0.1465 recall@thr=0.5: 0.5507 prec@thr=0.5: 0.5652 recall@top3: 0.7536 prec@top3: 0.6087 recall@top5: 0.8370 prec@top5: 0.4000 loss_action_cls: 0.0456 loss: 0.0456 2022/08/08 23:07:31 - mmengine - INFO - Epoch(train) [5][1120/2881] lr: 1.0000e-01 eta: 8:42:20 time: 0.6311 data_time: 0.0222 memory: 13802 grad_norm: 0.1430 recall@thr=0.5: 0.7225 prec@thr=0.5: 0.7500 recall@top3: 0.8130 prec@top3: 0.7101 recall@top5: 0.9428 prec@top5: 0.5217 loss_action_cls: 0.0502 loss: 0.0502 2022/08/08 23:07:44 - mmengine - INFO - Epoch(train) [5][1140/2881] lr: 1.0000e-01 eta: 8:42:01 time: 0.6332 data_time: 0.0264 memory: 13802 grad_norm: 0.1439 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.7292 recall@top3: 0.6738 prec@top3: 0.6667 recall@top5: 0.9083 prec@top5: 0.5214 loss_action_cls: 0.0443 loss: 0.0443 2022/08/08 23:07:56 - mmengine - INFO - Epoch(train) [5][1160/2881] lr: 1.0000e-01 eta: 8:41:42 time: 0.6166 data_time: 0.0220 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.6537 prec@thr=0.5: 0.8611 recall@top3: 0.7648 prec@top3: 0.6667 recall@top5: 0.9380 prec@top5: 0.4778 loss_action_cls: 0.0522 loss: 0.0522 2022/08/08 23:08:09 - mmengine - INFO - Epoch(train) [5][1180/2881] lr: 1.0000e-01 eta: 8:41:23 time: 0.6281 data_time: 0.0222 memory: 13802 grad_norm: 0.1526 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.6979 recall@top3: 0.7396 prec@top3: 0.6667 recall@top5: 0.9479 prec@top5: 0.5125 loss_action_cls: 0.0590 loss: 0.0590 2022/08/08 23:08:22 - mmengine - INFO - Epoch(train) [5][1200/2881] lr: 1.0000e-01 eta: 8:41:06 time: 0.6495 data_time: 0.0239 memory: 13802 grad_norm: 0.1355 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.7754 recall@top3: 0.8261 prec@top3: 0.7246 recall@top5: 0.9130 prec@top5: 0.4957 loss_action_cls: 0.0498 loss: 0.0498 2022/08/08 23:08:35 - mmengine - INFO - Epoch(train) [5][1220/2881] lr: 1.0000e-01 eta: 8:40:47 time: 0.6371 data_time: 0.0214 memory: 13802 grad_norm: 0.1496 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.7643 recall@top3: 0.8105 prec@top3: 0.7429 recall@top5: 0.9338 prec@top5: 0.5257 loss_action_cls: 0.0478 loss: 0.0478 2022/08/08 23:08:47 - mmengine - INFO - Epoch(train) [5][1240/2881] lr: 1.0000e-01 eta: 8:40:27 time: 0.6047 data_time: 0.0225 memory: 13802 grad_norm: 0.1503 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.6515 recall@top3: 0.7803 prec@top3: 0.5909 recall@top5: 0.9432 prec@top5: 0.4455 loss_action_cls: 0.0502 loss: 0.0502 2022/08/08 23:09:00 - mmengine - INFO - Epoch(train) [5][1260/2881] lr: 1.0000e-01 eta: 8:40:09 time: 0.6432 data_time: 0.0221 memory: 13802 grad_norm: 0.1435 recall@thr=0.5: 0.7380 prec@thr=0.5: 0.6752 recall@top3: 0.8256 prec@top3: 0.6581 recall@top5: 0.9171 prec@top5: 0.4513 loss_action_cls: 0.0521 loss: 0.0521 2022/08/08 23:09:12 - mmengine - INFO - Epoch(train) [5][1280/2881] lr: 1.0000e-01 eta: 8:39:51 time: 0.6352 data_time: 0.0211 memory: 13802 grad_norm: 0.1522 recall@thr=0.5: 0.6155 prec@thr=0.5: 0.7917 recall@top3: 0.8000 prec@top3: 0.6310 recall@top5: 0.9262 prec@top5: 0.4571 loss_action_cls: 0.0507 loss: 0.0507 2022/08/08 23:09:25 - mmengine - INFO - Epoch(train) [5][1300/2881] lr: 1.0000e-01 eta: 8:39:32 time: 0.6178 data_time: 0.0247 memory: 13802 grad_norm: 0.1548 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7593 recall@top3: 0.7315 prec@top3: 0.5000 recall@top5: 0.9259 prec@top5: 0.3889 loss_action_cls: 0.0528 loss: 0.0528 2022/08/08 23:09:37 - mmengine - INFO - Epoch(train) [5][1320/2881] lr: 1.0000e-01 eta: 8:39:13 time: 0.6300 data_time: 0.0249 memory: 13802 grad_norm: 0.1467 recall@thr=0.5: 0.4487 prec@thr=0.5: 0.4872 recall@top3: 0.5769 prec@top3: 0.4359 recall@top5: 0.7340 prec@top5: 0.3462 loss_action_cls: 0.0535 loss: 0.0535 2022/08/08 23:09:49 - mmengine - INFO - Epoch(train) [5][1340/2881] lr: 1.0000e-01 eta: 8:38:53 time: 0.6061 data_time: 0.0235 memory: 13802 grad_norm: 0.1400 recall@thr=0.5: 0.7414 prec@thr=0.5: 0.7787 recall@top3: 0.7529 prec@top3: 0.5977 recall@top5: 0.9368 prec@top5: 0.4690 loss_action_cls: 0.0460 loss: 0.0460 2022/08/08 23:10:03 - mmengine - INFO - Epoch(train) [5][1360/2881] lr: 1.0000e-01 eta: 8:38:37 time: 0.6652 data_time: 0.0230 memory: 13802 grad_norm: 0.1390 recall@thr=0.5: 0.7862 prec@thr=0.5: 0.8551 recall@top3: 0.8623 prec@top3: 0.7971 recall@top5: 0.9783 prec@top5: 0.5652 loss_action_cls: 0.0539 loss: 0.0539 2022/08/08 23:10:15 - mmengine - INFO - Epoch(train) [5][1380/2881] lr: 1.0000e-01 eta: 8:38:18 time: 0.6150 data_time: 0.0229 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.6696 prec@thr=0.5: 0.7738 recall@top3: 0.7917 prec@top3: 0.6548 recall@top5: 0.9226 prec@top5: 0.4786 loss_action_cls: 0.0477 loss: 0.0477 2022/08/08 23:10:28 - mmengine - INFO - Epoch(train) [5][1400/2881] lr: 1.0000e-01 eta: 8:38:00 time: 0.6471 data_time: 0.0211 memory: 13802 grad_norm: 0.1450 recall@thr=0.5: 0.8467 prec@thr=0.5: 0.6333 recall@top3: 0.8600 prec@top3: 0.5200 recall@top5: 0.9600 prec@top5: 0.3760 loss_action_cls: 0.0570 loss: 0.0570 2022/08/08 23:10:40 - mmengine - INFO - Epoch(train) [5][1420/2881] lr: 1.0000e-01 eta: 8:37:41 time: 0.6116 data_time: 0.0239 memory: 13802 grad_norm: 0.1390 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.9000 recall@top3: 0.8458 prec@top3: 0.7000 recall@top5: 0.9583 prec@top5: 0.4800 loss_action_cls: 0.0543 loss: 0.0543 2022/08/08 23:10:53 - mmengine - INFO - Epoch(train) [5][1440/2881] lr: 1.0000e-01 eta: 8:37:24 time: 0.6557 data_time: 0.0234 memory: 13802 grad_norm: 0.1428 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.6690 recall@top3: 0.8333 prec@top3: 0.6389 recall@top5: 0.9259 prec@top5: 0.4444 loss_action_cls: 0.0469 loss: 0.0469 2022/08/08 23:11:06 - mmengine - INFO - Epoch(train) [5][1460/2881] lr: 1.0000e-01 eta: 8:37:06 time: 0.6320 data_time: 0.0212 memory: 13802 grad_norm: 0.1444 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7593 recall@top3: 0.8241 prec@top3: 0.7222 recall@top5: 0.9306 prec@top5: 0.5000 loss_action_cls: 0.0518 loss: 0.0518 2022/08/08 23:11:16 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 23:11:18 - mmengine - INFO - Epoch(train) [5][1480/2881] lr: 1.0000e-01 eta: 8:36:46 time: 0.6120 data_time: 0.0225 memory: 13802 grad_norm: 0.1426 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8039 recall@top3: 0.7941 prec@top3: 0.5686 recall@top5: 0.8922 prec@top5: 0.3882 loss_action_cls: 0.0493 loss: 0.0493 2022/08/08 23:11:30 - mmengine - INFO - Epoch(train) [5][1500/2881] lr: 1.0000e-01 eta: 8:36:26 time: 0.6044 data_time: 0.0215 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.6285 prec@thr=0.5: 0.8333 recall@top3: 0.8125 prec@top3: 0.6944 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0481 loss: 0.0481 2022/08/08 23:11:43 - mmengine - INFO - Epoch(train) [5][1520/2881] lr: 1.0000e-01 eta: 8:36:08 time: 0.6316 data_time: 0.0235 memory: 13802 grad_norm: 0.1462 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.8864 recall@top3: 0.8258 prec@top3: 0.6667 recall@top5: 0.9697 prec@top5: 0.4909 loss_action_cls: 0.0438 loss: 0.0438 2022/08/08 23:11:55 - mmengine - INFO - Epoch(train) [5][1540/2881] lr: 1.0000e-01 eta: 8:35:50 time: 0.6298 data_time: 0.0238 memory: 13802 grad_norm: 0.1464 recall@thr=0.5: 0.6402 prec@thr=0.5: 0.7563 recall@top3: 0.7770 prec@top3: 0.6437 recall@top5: 0.9598 prec@top5: 0.4828 loss_action_cls: 0.0476 loss: 0.0476 2022/08/08 23:12:08 - mmengine - INFO - Epoch(train) [5][1560/2881] lr: 1.0000e-01 eta: 8:35:30 time: 0.6067 data_time: 0.0222 memory: 13802 grad_norm: 0.1418 recall@thr=0.5: 0.8217 prec@thr=0.5: 0.8986 recall@top3: 0.8812 prec@top3: 0.8406 recall@top5: 0.9210 prec@top5: 0.5304 loss_action_cls: 0.0510 loss: 0.0510 2022/08/08 23:12:21 - mmengine - INFO - Epoch(train) [5][1580/2881] lr: 1.0000e-01 eta: 8:35:13 time: 0.6521 data_time: 0.0216 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.8456 prec@thr=0.5: 0.8000 recall@top3: 0.8561 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4526 loss_action_cls: 0.0489 loss: 0.0489 2022/08/08 23:12:33 - mmengine - INFO - Epoch(train) [5][1600/2881] lr: 1.0000e-01 eta: 8:34:55 time: 0.6342 data_time: 0.0259 memory: 13802 grad_norm: 0.1375 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.8250 recall@top3: 0.7333 prec@top3: 0.6667 recall@top5: 0.8583 prec@top5: 0.4800 loss_action_cls: 0.0478 loss: 0.0478 2022/08/08 23:12:45 - mmengine - INFO - Epoch(train) [5][1620/2881] lr: 1.0000e-01 eta: 8:34:35 time: 0.6034 data_time: 0.0214 memory: 13802 grad_norm: 0.1429 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.5985 recall@top3: 0.7727 prec@top3: 0.6061 recall@top5: 0.8788 prec@top5: 0.4000 loss_action_cls: 0.0483 loss: 0.0483 2022/08/08 23:12:58 - mmengine - INFO - Epoch(train) [5][1640/2881] lr: 1.0000e-01 eta: 8:34:17 time: 0.6367 data_time: 0.0226 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7135 recall@top3: 0.6979 prec@top3: 0.6042 recall@top5: 0.8125 prec@top5: 0.4375 loss_action_cls: 0.0470 loss: 0.0470 2022/08/08 23:13:10 - mmengine - INFO - Epoch(train) [5][1660/2881] lr: 1.0000e-01 eta: 8:33:57 time: 0.6072 data_time: 0.0220 memory: 13802 grad_norm: 0.1436 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.5741 recall@top3: 0.7269 prec@top3: 0.5370 recall@top5: 0.9120 prec@top5: 0.4222 loss_action_cls: 0.0524 loss: 0.0524 2022/08/08 23:13:23 - mmengine - INFO - Epoch(train) [5][1680/2881] lr: 1.0000e-01 eta: 8:33:39 time: 0.6330 data_time: 0.0223 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.5567 prec@thr=0.5: 0.7533 recall@top3: 0.7000 prec@top3: 0.7333 recall@top5: 0.8867 prec@top5: 0.5520 loss_action_cls: 0.0512 loss: 0.0512 2022/08/08 23:13:36 - mmengine - INFO - Epoch(train) [5][1700/2881] lr: 1.0000e-01 eta: 8:33:22 time: 0.6431 data_time: 0.0232 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7197 recall@top3: 0.7348 prec@top3: 0.6515 recall@top5: 0.9318 prec@top5: 0.5091 loss_action_cls: 0.0487 loss: 0.0487 2022/08/08 23:13:48 - mmengine - INFO - Epoch(train) [5][1720/2881] lr: 1.0000e-01 eta: 8:33:04 time: 0.6324 data_time: 0.0212 memory: 13802 grad_norm: 0.1436 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.6884 recall@top3: 0.7609 prec@top3: 0.6377 recall@top5: 0.9094 prec@top5: 0.4696 loss_action_cls: 0.0554 loss: 0.0554 2022/08/08 23:14:01 - mmengine - INFO - Epoch(train) [5][1740/2881] lr: 1.0000e-01 eta: 8:32:46 time: 0.6331 data_time: 0.0220 memory: 13802 grad_norm: 0.1391 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.6406 recall@top3: 0.7240 prec@top3: 0.6250 recall@top5: 0.8490 prec@top5: 0.4375 loss_action_cls: 0.0517 loss: 0.0517 2022/08/08 23:14:13 - mmengine - INFO - Epoch(train) [5][1760/2881] lr: 1.0000e-01 eta: 8:32:27 time: 0.6074 data_time: 0.0227 memory: 13802 grad_norm: 0.1468 recall@thr=0.5: 0.7021 prec@thr=0.5: 0.7118 recall@top3: 0.7771 prec@top3: 0.5556 recall@top5: 0.8875 prec@top5: 0.4000 loss_action_cls: 0.0510 loss: 0.0510 2022/08/08 23:14:26 - mmengine - INFO - Epoch(train) [5][1780/2881] lr: 1.0000e-01 eta: 8:32:09 time: 0.6303 data_time: 0.0210 memory: 13802 grad_norm: 0.1462 recall@thr=0.5: 0.7856 prec@thr=0.5: 0.8139 recall@top3: 0.8394 prec@top3: 0.8000 recall@top5: 0.9544 prec@top5: 0.5667 loss_action_cls: 0.0493 loss: 0.0493 2022/08/08 23:14:38 - mmengine - INFO - Epoch(train) [5][1800/2881] lr: 1.0000e-01 eta: 8:31:50 time: 0.6186 data_time: 0.0233 memory: 13802 grad_norm: 0.1435 recall@thr=0.5: 0.7253 prec@thr=0.5: 0.7377 recall@top3: 0.8549 prec@top3: 0.6790 recall@top5: 0.9259 prec@top5: 0.4519 loss_action_cls: 0.0588 loss: 0.0588 2022/08/08 23:14:51 - mmengine - INFO - Epoch(train) [5][1820/2881] lr: 1.0000e-01 eta: 8:31:32 time: 0.6313 data_time: 0.0207 memory: 13802 grad_norm: 0.1506 recall@thr=0.5: 0.5544 prec@thr=0.5: 0.8289 recall@top3: 0.7088 prec@top3: 0.6842 recall@top5: 0.9175 prec@top5: 0.5263 loss_action_cls: 0.0505 loss: 0.0505 2022/08/08 23:15:03 - mmengine - INFO - Epoch(train) [5][1840/2881] lr: 1.0000e-01 eta: 8:31:14 time: 0.6306 data_time: 0.0220 memory: 13802 grad_norm: 0.1592 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.7647 recall@top3: 0.7843 prec@top3: 0.7059 recall@top5: 0.9314 prec@top5: 0.5176 loss_action_cls: 0.0491 loss: 0.0491 2022/08/08 23:15:17 - mmengine - INFO - Epoch(train) [5][1860/2881] lr: 1.0000e-01 eta: 8:30:59 time: 0.6853 data_time: 0.0234 memory: 13802 grad_norm: 0.1541 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.8611 recall@top3: 0.7976 prec@top3: 0.6508 recall@top5: 0.8651 prec@top5: 0.4381 loss_action_cls: 0.0480 loss: 0.0480 2022/08/08 23:15:30 - mmengine - INFO - Epoch(train) [5][1880/2881] lr: 1.0000e-01 eta: 8:30:41 time: 0.6251 data_time: 0.0209 memory: 13802 grad_norm: 0.1495 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.6520 recall@top3: 0.7010 prec@top3: 0.5588 recall@top5: 0.9044 prec@top5: 0.4412 loss_action_cls: 0.0532 loss: 0.0532 2022/08/08 23:15:42 - mmengine - INFO - Epoch(train) [5][1900/2881] lr: 1.0000e-01 eta: 8:30:23 time: 0.6368 data_time: 0.0230 memory: 13802 grad_norm: 0.1391 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.8155 recall@top3: 0.7679 prec@top3: 0.5952 recall@top5: 0.9048 prec@top5: 0.4429 loss_action_cls: 0.0505 loss: 0.0505 2022/08/08 23:15:55 - mmengine - INFO - Epoch(train) [5][1920/2881] lr: 1.0000e-01 eta: 8:30:06 time: 0.6388 data_time: 0.0223 memory: 13802 grad_norm: 0.1474 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.7500 recall@top3: 0.7708 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0507 loss: 0.0507 2022/08/08 23:16:08 - mmengine - INFO - Epoch(train) [5][1940/2881] lr: 1.0000e-01 eta: 8:29:48 time: 0.6294 data_time: 0.0212 memory: 13802 grad_norm: 0.1437 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.8968 recall@top3: 0.9048 prec@top3: 0.7778 recall@top5: 0.9762 prec@top5: 0.4952 loss_action_cls: 0.0479 loss: 0.0479 2022/08/08 23:16:21 - mmengine - INFO - Epoch(train) [5][1960/2881] lr: 1.0000e-01 eta: 8:29:31 time: 0.6420 data_time: 0.0222 memory: 13802 grad_norm: 0.1463 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.7500 recall@top3: 0.8712 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4091 loss_action_cls: 0.0444 loss: 0.0444 2022/08/08 23:16:33 - mmengine - INFO - Epoch(train) [5][1980/2881] lr: 1.0000e-01 eta: 8:29:13 time: 0.6247 data_time: 0.0252 memory: 13802 grad_norm: 0.1634 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.5990 recall@top3: 0.8099 prec@top3: 0.5417 recall@top5: 0.9557 prec@top5: 0.3875 loss_action_cls: 0.0482 loss: 0.0482 2022/08/08 23:16:46 - mmengine - INFO - Epoch(train) [5][2000/2881] lr: 1.0000e-01 eta: 8:28:55 time: 0.6312 data_time: 0.0213 memory: 13802 grad_norm: 0.1374 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.6852 recall@top3: 0.6296 prec@top3: 0.5000 recall@top5: 0.8241 prec@top5: 0.3889 loss_action_cls: 0.0488 loss: 0.0488 2022/08/08 23:16:58 - mmengine - INFO - Epoch(train) [5][2020/2881] lr: 1.0000e-01 eta: 8:28:37 time: 0.6314 data_time: 0.0221 memory: 13802 grad_norm: 0.1417 recall@thr=0.5: 0.7900 prec@thr=0.5: 0.8467 recall@top3: 0.8967 prec@top3: 0.6800 recall@top5: 0.9600 prec@top5: 0.4480 loss_action_cls: 0.0491 loss: 0.0491 2022/08/08 23:17:11 - mmengine - INFO - Epoch(train) [5][2040/2881] lr: 1.0000e-01 eta: 8:28:18 time: 0.6098 data_time: 0.0221 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.6757 prec@thr=0.5: 0.6632 recall@top3: 0.7521 prec@top3: 0.6389 recall@top5: 0.8792 prec@top5: 0.4750 loss_action_cls: 0.0465 loss: 0.0465 2022/08/08 23:17:23 - mmengine - INFO - Epoch(train) [5][2060/2881] lr: 1.0000e-01 eta: 8:28:00 time: 0.6308 data_time: 0.0217 memory: 13802 grad_norm: 0.1436 recall@thr=0.5: 0.7703 prec@thr=0.5: 0.8116 recall@top3: 0.8471 prec@top3: 0.7246 recall@top5: 0.9355 prec@top5: 0.5130 loss_action_cls: 0.0485 loss: 0.0485 2022/08/08 23:17:36 - mmengine - INFO - Epoch(train) [5][2080/2881] lr: 1.0000e-01 eta: 8:27:42 time: 0.6344 data_time: 0.0233 memory: 13802 grad_norm: 0.1503 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8333 recall@top3: 0.7963 prec@top3: 0.7037 recall@top5: 0.8889 prec@top5: 0.4889 loss_action_cls: 0.0503 loss: 0.0503 2022/08/08 23:17:48 - mmengine - INFO - Epoch(train) [5][2100/2881] lr: 1.0000e-01 eta: 8:27:24 time: 0.6297 data_time: 0.0226 memory: 13802 grad_norm: 0.1441 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6786 recall@top3: 0.7381 prec@top3: 0.5714 recall@top5: 0.9524 prec@top5: 0.4476 loss_action_cls: 0.0498 loss: 0.0498 2022/08/08 23:18:01 - mmengine - INFO - Epoch(train) [5][2120/2881] lr: 1.0000e-01 eta: 8:27:07 time: 0.6327 data_time: 0.0209 memory: 13802 grad_norm: 0.1391 recall@thr=0.5: 0.8046 prec@thr=0.5: 0.7759 recall@top3: 0.8678 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4621 loss_action_cls: 0.0459 loss: 0.0459 2022/08/08 23:18:13 - mmengine - INFO - Epoch(train) [5][2140/2881] lr: 1.0000e-01 eta: 8:26:48 time: 0.6106 data_time: 0.0213 memory: 13802 grad_norm: 0.1388 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.8258 recall@top3: 0.7462 prec@top3: 0.6818 recall@top5: 0.8902 prec@top5: 0.5000 loss_action_cls: 0.0522 loss: 0.0522 2022/08/08 23:18:25 - mmengine - INFO - Epoch(train) [5][2160/2881] lr: 1.0000e-01 eta: 8:26:28 time: 0.6064 data_time: 0.0217 memory: 13802 grad_norm: 0.1439 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.6491 recall@top3: 0.6491 prec@top3: 0.5439 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0443 loss: 0.0443 2022/08/08 23:18:38 - mmengine - INFO - Epoch(train) [5][2180/2881] lr: 1.0000e-01 eta: 8:26:10 time: 0.6267 data_time: 0.0236 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.7967 prec@thr=0.5: 0.7040 recall@top3: 0.8300 prec@top3: 0.6933 recall@top5: 0.9733 prec@top5: 0.5040 loss_action_cls: 0.0538 loss: 0.0538 2022/08/08 23:18:51 - mmengine - INFO - Epoch(train) [5][2200/2881] lr: 1.0000e-01 eta: 8:25:53 time: 0.6304 data_time: 0.0215 memory: 13802 grad_norm: 0.1415 recall@thr=0.5: 0.7674 prec@thr=0.5: 0.7604 recall@top3: 0.9062 prec@top3: 0.6389 recall@top5: 1.0000 prec@top5: 0.4417 loss_action_cls: 0.0482 loss: 0.0482 2022/08/08 23:19:03 - mmengine - INFO - Epoch(train) [5][2220/2881] lr: 1.0000e-01 eta: 8:25:35 time: 0.6347 data_time: 0.0222 memory: 13802 grad_norm: 0.1442 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.6296 recall@top3: 0.7407 prec@top3: 0.5741 recall@top5: 0.9398 prec@top5: 0.4444 loss_action_cls: 0.0492 loss: 0.0492 2022/08/08 23:19:15 - mmengine - INFO - Epoch(train) [5][2240/2881] lr: 1.0000e-01 eta: 8:25:16 time: 0.6084 data_time: 0.0213 memory: 13802 grad_norm: 0.1429 recall@thr=0.5: 0.7011 prec@thr=0.5: 0.8046 recall@top3: 0.8276 prec@top3: 0.6782 recall@top5: 1.0000 prec@top5: 0.5172 loss_action_cls: 0.0460 loss: 0.0460 2022/08/08 23:19:28 - mmengine - INFO - Epoch(train) [5][2260/2881] lr: 1.0000e-01 eta: 8:24:58 time: 0.6283 data_time: 0.0230 memory: 13802 grad_norm: 0.1506 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6389 recall@top3: 0.6389 prec@top3: 0.5667 recall@top5: 0.9278 prec@top5: 0.4667 loss_action_cls: 0.0489 loss: 0.0489 2022/08/08 23:19:40 - mmengine - INFO - Epoch(train) [5][2280/2881] lr: 1.0000e-01 eta: 8:24:39 time: 0.6036 data_time: 0.0213 memory: 13802 grad_norm: 0.1494 recall@thr=0.5: 0.6949 prec@thr=0.5: 0.8526 recall@top3: 0.7865 prec@top3: 0.7308 recall@top5: 0.9538 prec@top5: 0.5538 loss_action_cls: 0.0531 loss: 0.0531 2022/08/08 23:19:52 - mmengine - INFO - Epoch(train) [5][2300/2881] lr: 1.0000e-01 eta: 8:24:20 time: 0.6095 data_time: 0.0222 memory: 13802 grad_norm: 0.1502 recall@thr=0.5: 0.7553 prec@thr=0.5: 0.8788 recall@top3: 0.7629 prec@top3: 0.6818 recall@top5: 0.9023 prec@top5: 0.5182 loss_action_cls: 0.0474 loss: 0.0474 2022/08/08 23:20:05 - mmengine - INFO - Epoch(train) [5][2320/2881] lr: 1.0000e-01 eta: 8:24:03 time: 0.6401 data_time: 0.0217 memory: 13802 grad_norm: 0.1443 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.9710 recall@top3: 0.8841 prec@top3: 0.7391 recall@top5: 0.9565 prec@top5: 0.4870 loss_action_cls: 0.0459 loss: 0.0459 2022/08/08 23:20:17 - mmengine - INFO - Epoch(train) [5][2340/2881] lr: 1.0000e-01 eta: 8:23:44 time: 0.6164 data_time: 0.0217 memory: 13802 grad_norm: 0.1396 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7917 recall@top3: 0.7656 prec@top3: 0.6875 recall@top5: 0.8958 prec@top5: 0.5000 loss_action_cls: 0.0486 loss: 0.0486 2022/08/08 23:20:30 - mmengine - INFO - Epoch(train) [5][2360/2881] lr: 1.0000e-01 eta: 8:23:26 time: 0.6242 data_time: 0.0216 memory: 13802 grad_norm: 0.1478 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.6228 recall@top3: 0.8070 prec@top3: 0.5263 recall@top5: 0.9825 prec@top5: 0.3895 loss_action_cls: 0.0519 loss: 0.0519 2022/08/08 23:20:43 - mmengine - INFO - Epoch(train) [5][2380/2881] lr: 1.0000e-01 eta: 8:23:09 time: 0.6417 data_time: 0.0248 memory: 13802 grad_norm: 0.1435 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.8095 recall@top3: 0.7817 prec@top3: 0.5873 recall@top5: 0.8254 prec@top5: 0.3810 loss_action_cls: 0.0488 loss: 0.0488 2022/08/08 23:20:55 - mmengine - INFO - Epoch(train) [5][2400/2881] lr: 1.0000e-01 eta: 8:22:51 time: 0.6227 data_time: 0.0217 memory: 13802 grad_norm: 0.1434 recall@thr=0.5: 0.6543 prec@thr=0.5: 0.9383 recall@top3: 0.8272 prec@top3: 0.6790 recall@top5: 0.9383 prec@top5: 0.4741 loss_action_cls: 0.0479 loss: 0.0479 2022/08/08 23:21:07 - mmengine - INFO - Epoch(train) [5][2420/2881] lr: 1.0000e-01 eta: 8:22:33 time: 0.6124 data_time: 0.0211 memory: 13802 grad_norm: 0.1420 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.8667 recall@top3: 0.8144 prec@top3: 0.5556 recall@top5: 0.9317 prec@top5: 0.4000 loss_action_cls: 0.0541 loss: 0.0541 2022/08/08 23:21:20 - mmengine - INFO - Epoch(train) [5][2440/2881] lr: 1.0000e-01 eta: 8:22:16 time: 0.6526 data_time: 0.0223 memory: 13802 grad_norm: 0.1407 recall@thr=0.5: 0.6072 prec@thr=0.5: 0.7101 recall@top3: 0.8420 prec@top3: 0.5942 recall@top5: 0.9565 prec@top5: 0.4435 loss_action_cls: 0.0503 loss: 0.0503 2022/08/08 23:21:33 - mmengine - INFO - Epoch(train) [5][2460/2881] lr: 1.0000e-01 eta: 8:21:59 time: 0.6299 data_time: 0.0222 memory: 13802 grad_norm: 0.1474 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.7283 recall@top3: 0.7971 prec@top3: 0.7101 recall@top5: 0.9203 prec@top5: 0.4957 loss_action_cls: 0.0491 loss: 0.0491 2022/08/08 23:21:43 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 23:21:46 - mmengine - INFO - Epoch(train) [5][2480/2881] lr: 1.0000e-01 eta: 8:21:41 time: 0.6288 data_time: 0.0224 memory: 13802 grad_norm: 0.1456 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.8636 recall@top3: 0.8864 prec@top3: 0.7727 recall@top5: 0.9848 prec@top5: 0.5273 loss_action_cls: 0.0514 loss: 0.0514 2022/08/08 23:21:58 - mmengine - INFO - Epoch(train) [5][2500/2881] lr: 1.0000e-01 eta: 8:21:22 time: 0.6058 data_time: 0.0219 memory: 13802 grad_norm: 0.1488 recall@thr=0.5: 0.8155 prec@thr=0.5: 0.6250 recall@top3: 0.8333 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0491 loss: 0.0491 2022/08/08 23:22:10 - mmengine - INFO - Epoch(train) [5][2520/2881] lr: 1.0000e-01 eta: 8:21:04 time: 0.6260 data_time: 0.0215 memory: 13802 grad_norm: 0.1444 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.7193 recall@top3: 0.7018 prec@top3: 0.6316 recall@top5: 0.9123 prec@top5: 0.5053 loss_action_cls: 0.0470 loss: 0.0470 2022/08/08 23:22:23 - mmengine - INFO - Epoch(train) [5][2540/2881] lr: 1.0000e-01 eta: 8:20:46 time: 0.6117 data_time: 0.0230 memory: 13802 grad_norm: 0.1406 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.7538 recall@top3: 0.7879 prec@top3: 0.6970 recall@top5: 0.9167 prec@top5: 0.5091 loss_action_cls: 0.0488 loss: 0.0488 2022/08/08 23:22:35 - mmengine - INFO - Epoch(train) [5][2560/2881] lr: 1.0000e-01 eta: 8:20:28 time: 0.6260 data_time: 0.0235 memory: 13802 grad_norm: 0.1512 recall@thr=0.5: 0.6701 prec@thr=0.5: 0.8611 recall@top3: 0.7951 prec@top3: 0.6806 recall@top5: 0.8958 prec@top5: 0.4667 loss_action_cls: 0.0517 loss: 0.0517 2022/08/08 23:22:48 - mmengine - INFO - Epoch(train) [5][2580/2881] lr: 1.0000e-01 eta: 8:20:10 time: 0.6302 data_time: 0.0217 memory: 13802 grad_norm: 0.1312 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.6591 recall@top3: 0.7803 prec@top3: 0.7121 recall@top5: 0.9621 prec@top5: 0.5455 loss_action_cls: 0.0490 loss: 0.0490 2022/08/08 23:23:00 - mmengine - INFO - Epoch(train) [5][2600/2881] lr: 1.0000e-01 eta: 8:19:52 time: 0.6084 data_time: 0.0239 memory: 13802 grad_norm: 0.1443 recall@thr=0.5: 0.5765 prec@thr=0.5: 0.7538 recall@top3: 0.6886 prec@top3: 0.6515 recall@top5: 0.8545 prec@top5: 0.5182 loss_action_cls: 0.0427 loss: 0.0427 2022/08/08 23:23:13 - mmengine - INFO - Epoch(train) [5][2620/2881] lr: 1.0000e-01 eta: 8:19:35 time: 0.6388 data_time: 0.0192 memory: 13802 grad_norm: 0.1367 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8333 recall@top3: 0.9074 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0526 loss: 0.0526 2022/08/08 23:23:25 - mmengine - INFO - Epoch(train) [5][2640/2881] lr: 1.0000e-01 eta: 8:19:18 time: 0.6359 data_time: 0.0231 memory: 13802 grad_norm: 0.1475 recall@thr=0.5: 0.7747 prec@thr=0.5: 0.8765 recall@top3: 0.8364 prec@top3: 0.7901 recall@top5: 0.9506 prec@top5: 0.5407 loss_action_cls: 0.0494 loss: 0.0494 2022/08/08 23:23:37 - mmengine - INFO - Epoch(train) [5][2660/2881] lr: 1.0000e-01 eta: 8:18:59 time: 0.6037 data_time: 0.0215 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7500 recall@top3: 0.7946 prec@top3: 0.6310 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0522 loss: 0.0522 2022/08/08 23:23:50 - mmengine - INFO - Epoch(train) [5][2680/2881] lr: 1.0000e-01 eta: 8:18:43 time: 0.6538 data_time: 0.0252 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.7037 recall@top3: 0.7083 prec@top3: 0.5185 recall@top5: 0.8333 prec@top5: 0.3778 loss_action_cls: 0.0505 loss: 0.0505 2022/08/08 23:24:03 - mmengine - INFO - Epoch(train) [5][2700/2881] lr: 1.0000e-01 eta: 8:18:26 time: 0.6356 data_time: 0.0214 memory: 13802 grad_norm: 0.1419 recall@thr=0.5: 0.7715 prec@thr=0.5: 0.8468 recall@top3: 0.8118 prec@top3: 0.6774 recall@top5: 0.9247 prec@top5: 0.4710 loss_action_cls: 0.0491 loss: 0.0491 2022/08/08 23:24:15 - mmengine - INFO - Epoch(train) [5][2720/2881] lr: 1.0000e-01 eta: 8:18:07 time: 0.6066 data_time: 0.0220 memory: 13802 grad_norm: 0.1419 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.8478 recall@top3: 0.8841 prec@top3: 0.7246 recall@top5: 0.9638 prec@top5: 0.4783 loss_action_cls: 0.0463 loss: 0.0463 2022/08/08 23:24:28 - mmengine - INFO - Epoch(train) [5][2740/2881] lr: 1.0000e-01 eta: 8:17:50 time: 0.6316 data_time: 0.0221 memory: 13802 grad_norm: 0.1460 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8333 recall@top3: 0.8258 prec@top3: 0.7727 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0488 loss: 0.0488 2022/08/08 23:24:41 - mmengine - INFO - Epoch(train) [5][2760/2881] lr: 1.0000e-01 eta: 8:17:33 time: 0.6390 data_time: 0.0211 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.4735 prec@thr=0.5: 0.7623 recall@top3: 0.6537 prec@top3: 0.7160 recall@top5: 0.8389 prec@top5: 0.5630 loss_action_cls: 0.0504 loss: 0.0504 2022/08/08 23:24:53 - mmengine - INFO - Epoch(train) [5][2780/2881] lr: 1.0000e-01 eta: 8:17:16 time: 0.6377 data_time: 0.0224 memory: 13802 grad_norm: 0.1428 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.7255 recall@top3: 0.6520 prec@top3: 0.5882 recall@top5: 0.8333 prec@top5: 0.4353 loss_action_cls: 0.0502 loss: 0.0502 2022/08/08 23:25:06 - mmengine - INFO - Epoch(train) [5][2800/2881] lr: 1.0000e-01 eta: 8:16:58 time: 0.6225 data_time: 0.0268 memory: 13802 grad_norm: 0.1417 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.7202 recall@top3: 0.8869 prec@top3: 0.6667 recall@top5: 0.9345 prec@top5: 0.4286 loss_action_cls: 0.0433 loss: 0.0433 2022/08/08 23:25:18 - mmengine - INFO - Epoch(train) [5][2820/2881] lr: 1.0000e-01 eta: 8:16:40 time: 0.6139 data_time: 0.0223 memory: 13802 grad_norm: 0.1379 recall@thr=0.5: 0.7125 prec@thr=0.5: 0.6917 recall@top3: 0.8292 prec@top3: 0.5500 recall@top5: 0.9750 prec@top5: 0.3800 loss_action_cls: 0.0474 loss: 0.0474 2022/08/08 23:25:31 - mmengine - INFO - Epoch(train) [5][2840/2881] lr: 1.0000e-01 eta: 8:16:22 time: 0.6276 data_time: 0.0210 memory: 13802 grad_norm: 0.1325 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7350 recall@top3: 0.7917 prec@top3: 0.5667 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0450 loss: 0.0450 2022/08/08 23:25:44 - mmengine - INFO - Epoch(train) [5][2860/2881] lr: 1.0000e-01 eta: 8:16:06 time: 0.6485 data_time: 0.0220 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.9129 recall@top3: 0.8333 prec@top3: 0.7879 recall@top5: 0.9697 prec@top5: 0.5818 loss_action_cls: 0.0498 loss: 0.0498 2022/08/08 23:25:56 - mmengine - INFO - Epoch(train) [5][2880/2881] lr: 1.0000e-01 eta: 8:15:48 time: 0.6105 data_time: 0.0268 memory: 13802 grad_norm: 0.1455 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8380 recall@top3: 0.8657 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0489 loss: 0.0489 2022/08/08 23:25:57 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 23:25:57 - mmengine - INFO - Epoch(train) [5][2881/2881] lr: 1.0000e-01 eta: 8:15:48 time: 0.6034 data_time: 0.0199 memory: 13802 grad_norm: 0.1441 recall@thr=0.5: 0.6090 prec@thr=0.5: 0.8333 recall@top3: 0.7236 prec@top3: 0.6667 recall@top5: 0.8653 prec@top5: 0.5000 loss_action_cls: 0.0485 loss: 0.0485 2022/08/08 23:25:57 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/08 23:26:04 - mmengine - INFO - Epoch(val) [5][20/6282] eta: 0:07:49 time: 0.0750 data_time: 0.0296 memory: 721 2022/08/08 23:26:05 - mmengine - INFO - Epoch(val) [5][40/6282] eta: 0:05:06 time: 0.0491 data_time: 0.0045 memory: 721 2022/08/08 23:26:06 - mmengine - INFO - Epoch(val) [5][60/6282] eta: 0:05:04 time: 0.0489 data_time: 0.0051 memory: 721 2022/08/08 23:26:07 - mmengine - INFO - Epoch(val) [5][80/6282] eta: 0:05:04 time: 0.0492 data_time: 0.0037 memory: 721 2022/08/08 23:26:08 - mmengine - INFO - Epoch(val) [5][100/6282] eta: 0:07:09 time: 0.0694 data_time: 0.0046 memory: 721 2022/08/08 23:26:09 - mmengine - INFO - Epoch(val) [5][120/6282] eta: 0:06:22 time: 0.0620 data_time: 0.0039 memory: 806 2022/08/08 23:26:11 - mmengine - INFO - Epoch(val) [5][140/6282] eta: 0:06:54 time: 0.0675 data_time: 0.0052 memory: 806 2022/08/08 23:26:12 - mmengine - INFO - Epoch(val) [5][160/6282] eta: 0:06:55 time: 0.0679 data_time: 0.0050 memory: 806 2022/08/08 23:26:14 - mmengine - INFO - Epoch(val) [5][180/6282] eta: 0:07:00 time: 0.0689 data_time: 0.0053 memory: 806 2022/08/08 23:26:15 - mmengine - INFO - Epoch(val) [5][200/6282] eta: 0:07:33 time: 0.0745 data_time: 0.0077 memory: 806 2022/08/08 23:26:16 - mmengine - INFO - Epoch(val) [5][220/6282] eta: 0:05:47 time: 0.0573 data_time: 0.0051 memory: 736 2022/08/08 23:26:17 - mmengine - INFO - Epoch(val) [5][240/6282] eta: 0:05:46 time: 0.0573 data_time: 0.0046 memory: 736 2022/08/08 23:26:18 - mmengine - INFO - Epoch(val) [5][260/6282] eta: 0:05:21 time: 0.0535 data_time: 0.0044 memory: 736 2022/08/08 23:26:20 - mmengine - INFO - Epoch(val) [5][280/6282] eta: 0:05:32 time: 0.0553 data_time: 0.0044 memory: 736 2022/08/08 23:26:21 - mmengine - INFO - Epoch(val) [5][300/6282] eta: 0:06:09 time: 0.0618 data_time: 0.0055 memory: 806 2022/08/08 23:26:23 - mmengine - INFO - Epoch(val) [5][320/6282] eta: 0:10:22 time: 0.1045 data_time: 0.0150 memory: 806 2022/08/08 23:26:24 - mmengine - INFO - Epoch(val) [5][340/6282] eta: 0:06:48 time: 0.0688 data_time: 0.0054 memory: 806 2022/08/08 23:26:26 - mmengine - INFO - Epoch(val) [5][360/6282] eta: 0:07:12 time: 0.0731 data_time: 0.0116 memory: 806 2022/08/08 23:26:27 - mmengine - INFO - Epoch(val) [5][380/6282] eta: 0:07:09 time: 0.0728 data_time: 0.0116 memory: 806 2022/08/08 23:26:29 - mmengine - INFO - Epoch(val) [5][400/6282] eta: 0:07:00 time: 0.0716 data_time: 0.0121 memory: 806 2022/08/08 23:26:30 - mmengine - INFO - Epoch(val) [5][420/6282] eta: 0:05:38 time: 0.0577 data_time: 0.0045 memory: 741 2022/08/08 23:26:31 - mmengine - INFO - Epoch(val) [5][440/6282] eta: 0:05:39 time: 0.0581 data_time: 0.0043 memory: 741 2022/08/08 23:26:32 - mmengine - INFO - Epoch(val) [5][460/6282] eta: 0:05:39 time: 0.0583 data_time: 0.0053 memory: 741 2022/08/08 23:26:33 - mmengine - INFO - Epoch(val) [5][480/6282] eta: 0:05:23 time: 0.0557 data_time: 0.0055 memory: 741 2022/08/08 23:26:34 - mmengine - INFO - Epoch(val) [5][500/6282] eta: 0:05:36 time: 0.0581 data_time: 0.0051 memory: 741 2022/08/08 23:26:35 - mmengine - INFO - Epoch(val) [5][520/6282] eta: 0:05:04 time: 0.0528 data_time: 0.0044 memory: 736 2022/08/08 23:26:37 - mmengine - INFO - Epoch(val) [5][540/6282] eta: 0:05:00 time: 0.0524 data_time: 0.0038 memory: 736 2022/08/08 23:26:38 - mmengine - INFO - Epoch(val) [5][560/6282] eta: 0:04:53 time: 0.0513 data_time: 0.0040 memory: 736 2022/08/08 23:26:39 - mmengine - INFO - Epoch(val) [5][580/6282] eta: 0:05:02 time: 0.0531 data_time: 0.0042 memory: 736 2022/08/08 23:26:40 - mmengine - INFO - Epoch(val) [5][600/6282] eta: 0:04:47 time: 0.0507 data_time: 0.0048 memory: 736 2022/08/08 23:26:41 - mmengine - INFO - Epoch(val) [5][620/6282] eta: 0:05:11 time: 0.0550 data_time: 0.0054 memory: 736 2022/08/08 23:26:42 - mmengine - INFO - Epoch(val) [5][640/6282] eta: 0:07:16 time: 0.0774 data_time: 0.0062 memory: 733 2022/08/08 23:26:43 - mmengine - INFO - Epoch(val) [5][660/6282] eta: 0:04:53 time: 0.0522 data_time: 0.0041 memory: 733 2022/08/08 23:26:44 - mmengine - INFO - Epoch(val) [5][680/6282] eta: 0:04:37 time: 0.0495 data_time: 0.0037 memory: 733 2022/08/08 23:26:45 - mmengine - INFO - Epoch(val) [5][700/6282] eta: 0:04:35 time: 0.0494 data_time: 0.0036 memory: 733 2022/08/08 23:26:48 - mmengine - INFO - Epoch(val) [5][720/6282] eta: 0:11:55 time: 0.1286 data_time: 0.0719 memory: 806 2022/08/08 23:26:52 - mmengine - INFO - Epoch(val) [5][740/6282] eta: 0:17:38 time: 0.1909 data_time: 0.1304 memory: 806 2022/08/08 23:26:55 - mmengine - INFO - Epoch(val) [5][760/6282] eta: 0:13:11 time: 0.1434 data_time: 0.0827 memory: 806 2022/08/08 23:26:58 - mmengine - INFO - Epoch(val) [5][780/6282] eta: 0:14:46 time: 0.1612 data_time: 0.1027 memory: 806 2022/08/08 23:27:00 - mmengine - INFO - Epoch(val) [5][800/6282] eta: 0:11:26 time: 0.1251 data_time: 0.0647 memory: 806 2022/08/08 23:27:03 - mmengine - INFO - Epoch(val) [5][820/6282] eta: 0:10:00 time: 0.1100 data_time: 0.0311 memory: 806 2022/08/08 23:27:04 - mmengine - INFO - Epoch(val) [5][840/6282] eta: 0:05:06 time: 0.0563 data_time: 0.0052 memory: 736 2022/08/08 23:27:05 - mmengine - INFO - Epoch(val) [5][860/6282] eta: 0:04:54 time: 0.0542 data_time: 0.0045 memory: 736 2022/08/08 23:27:06 - mmengine - INFO - Epoch(val) [5][880/6282] eta: 0:04:58 time: 0.0553 data_time: 0.0056 memory: 736 2022/08/08 23:27:07 - mmengine - INFO - Epoch(val) [5][900/6282] eta: 0:05:02 time: 0.0562 data_time: 0.0045 memory: 736 2022/08/08 23:27:08 - mmengine - INFO - Epoch(val) [5][920/6282] eta: 0:05:04 time: 0.0568 data_time: 0.0056 memory: 736 2022/08/08 23:27:09 - mmengine - INFO - Epoch(val) [5][940/6282] eta: 0:04:54 time: 0.0551 data_time: 0.0056 memory: 721 2022/08/08 23:27:10 - mmengine - INFO - Epoch(val) [5][960/6282] eta: 0:04:50 time: 0.0546 data_time: 0.0041 memory: 721 2022/08/08 23:27:11 - mmengine - INFO - Epoch(val) [5][980/6282] eta: 0:04:42 time: 0.0532 data_time: 0.0053 memory: 721 2022/08/08 23:27:13 - mmengine - INFO - Epoch(val) [5][1000/6282] eta: 0:04:48 time: 0.0547 data_time: 0.0054 memory: 721 2022/08/08 23:27:14 - mmengine - INFO - Epoch(val) [5][1020/6282] eta: 0:04:45 time: 0.0543 data_time: 0.0054 memory: 736 2022/08/08 23:27:15 - mmengine - INFO - Epoch(val) [5][1040/6282] eta: 0:04:56 time: 0.0566 data_time: 0.0051 memory: 736 2022/08/08 23:27:16 - mmengine - INFO - Epoch(val) [5][1060/6282] eta: 0:04:48 time: 0.0552 data_time: 0.0054 memory: 736 2022/08/08 23:27:17 - mmengine - INFO - Epoch(val) [5][1080/6282] eta: 0:04:46 time: 0.0551 data_time: 0.0050 memory: 736 2022/08/08 23:27:18 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:06:24 time: 0.0743 data_time: 0.0041 memory: 736 2022/08/08 23:27:20 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:04:45 time: 0.0553 data_time: 0.0048 memory: 736 2022/08/08 23:27:21 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:04:57 time: 0.0579 data_time: 0.0065 memory: 736 2022/08/08 23:27:22 - mmengine - INFO - Epoch(val) [5][1160/6282] eta: 0:04:45 time: 0.0558 data_time: 0.0050 memory: 736 2022/08/08 23:27:23 - mmengine - INFO - Epoch(val) [5][1180/6282] eta: 0:04:25 time: 0.0521 data_time: 0.0043 memory: 736 2022/08/08 23:27:24 - mmengine - INFO - Epoch(val) [5][1200/6282] eta: 0:04:22 time: 0.0517 data_time: 0.0043 memory: 736 2022/08/08 23:27:25 - mmengine - INFO - Epoch(val) [5][1220/6282] eta: 0:04:19 time: 0.0512 data_time: 0.0035 memory: 736 2022/08/08 23:27:28 - mmengine - INFO - Epoch(val) [5][1240/6282] eta: 0:14:22 time: 0.1711 data_time: 0.1138 memory: 806 2022/08/08 23:27:31 - mmengine - INFO - Epoch(val) [5][1260/6282] eta: 0:11:31 time: 0.1377 data_time: 0.0826 memory: 806 2022/08/08 23:27:35 - mmengine - INFO - Epoch(val) [5][1280/6282] eta: 0:16:22 time: 0.1965 data_time: 0.1351 memory: 806 2022/08/08 23:27:38 - mmengine - INFO - Epoch(val) [5][1300/6282] eta: 0:11:31 time: 0.1388 data_time: 0.0818 memory: 806 2022/08/08 23:27:42 - mmengine - INFO - Epoch(val) [5][1320/6282] eta: 0:15:28 time: 0.1871 data_time: 0.1292 memory: 806 2022/08/08 23:27:45 - mmengine - INFO - Epoch(val) [5][1340/6282] eta: 0:12:05 time: 0.1469 data_time: 0.0902 memory: 806 2022/08/08 23:27:48 - mmengine - INFO - Epoch(val) [5][1360/6282] eta: 0:14:46 time: 0.1801 data_time: 0.1213 memory: 806 2022/08/08 23:27:51 - mmengine - INFO - Epoch(val) [5][1380/6282] eta: 0:12:05 time: 0.1480 data_time: 0.0891 memory: 806 2022/08/08 23:27:55 - mmengine - INFO - Epoch(val) [5][1400/6282] eta: 0:14:15 time: 0.1753 data_time: 0.1192 memory: 806 2022/08/08 23:27:57 - mmengine - INFO - Epoch(val) [5][1420/6282] eta: 0:09:51 time: 0.1216 data_time: 0.0618 memory: 806 2022/08/08 23:27:59 - mmengine - INFO - Epoch(val) [5][1440/6282] eta: 0:06:49 time: 0.0845 data_time: 0.0259 memory: 806 2022/08/08 23:28:00 - mmengine - INFO - Epoch(val) [5][1460/6282] eta: 0:05:25 time: 0.0675 data_time: 0.0056 memory: 806 2022/08/08 23:28:01 - mmengine - INFO - Epoch(val) [5][1480/6282] eta: 0:05:21 time: 0.0669 data_time: 0.0051 memory: 806 2022/08/08 23:28:03 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:05:19 time: 0.0669 data_time: 0.0045 memory: 806 2022/08/08 23:28:04 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:05:25 time: 0.0683 data_time: 0.0063 memory: 909 2022/08/08 23:28:06 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:06:23 time: 0.0809 data_time: 0.0066 memory: 909 2022/08/08 23:28:07 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:06:06 time: 0.0777 data_time: 0.0058 memory: 909 2022/08/08 23:28:09 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:05:49 time: 0.0744 data_time: 0.0055 memory: 909 2022/08/08 23:28:10 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:06:03 time: 0.0776 data_time: 0.0050 memory: 909 2022/08/08 23:28:12 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:07:55 time: 0.1020 data_time: 0.0054 memory: 909 2022/08/08 23:28:14 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:04:47 time: 0.0618 data_time: 0.0045 memory: 806 2022/08/08 23:28:15 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:04:43 time: 0.0614 data_time: 0.0045 memory: 806 2022/08/08 23:28:16 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:04:50 time: 0.0630 data_time: 0.0045 memory: 806 2022/08/08 23:28:17 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:04:31 time: 0.0592 data_time: 0.0039 memory: 806 2022/08/08 23:28:19 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:04:22 time: 0.0575 data_time: 0.0044 memory: 806 2022/08/08 23:28:20 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:04:22 time: 0.0579 data_time: 0.0036 memory: 806 2022/08/08 23:28:21 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:04:25 time: 0.0587 data_time: 0.0041 memory: 806 2022/08/08 23:28:22 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:04:49 time: 0.0642 data_time: 0.0068 memory: 806 2022/08/08 23:28:23 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:04:46 time: 0.0639 data_time: 0.0057 memory: 806 2022/08/08 23:28:25 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:04:35 time: 0.0618 data_time: 0.0047 memory: 806 2022/08/08 23:28:26 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:06:19 time: 0.0855 data_time: 0.0275 memory: 806 2022/08/08 23:28:30 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:13:13 time: 0.1795 data_time: 0.1215 memory: 806 2022/08/08 23:28:33 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:11:19 time: 0.1543 data_time: 0.0629 memory: 806 2022/08/08 23:28:37 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:12:26 time: 0.1703 data_time: 0.1130 memory: 806 2022/08/08 23:28:39 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:09:28 time: 0.1302 data_time: 0.0728 memory: 806 2022/08/08 23:28:42 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:08:43 time: 0.1206 data_time: 0.0618 memory: 806 2022/08/08 23:28:43 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:03:53 time: 0.0540 data_time: 0.0041 memory: 741 2022/08/08 23:28:44 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:04:05 time: 0.0570 data_time: 0.0058 memory: 741 2022/08/08 23:28:45 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:04:03 time: 0.0569 data_time: 0.0073 memory: 741 2022/08/08 23:28:46 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:03:59 time: 0.0563 data_time: 0.0055 memory: 741 2022/08/08 23:28:47 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:04:00 time: 0.0567 data_time: 0.0055 memory: 741 2022/08/08 23:28:48 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:03:53 time: 0.0554 data_time: 0.0052 memory: 741 2022/08/08 23:28:49 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:03:55 time: 0.0561 data_time: 0.0053 memory: 741 2022/08/08 23:28:51 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:04:02 time: 0.0580 data_time: 0.0052 memory: 741 2022/08/08 23:28:52 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:05:36 time: 0.0808 data_time: 0.0052 memory: 741 2022/08/08 23:28:53 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:03:50 time: 0.0556 data_time: 0.0045 memory: 741 2022/08/08 23:28:54 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:03:39 time: 0.0533 data_time: 0.0046 memory: 736 2022/08/08 23:28:56 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:03:52 time: 0.0566 data_time: 0.0040 memory: 736 2022/08/08 23:28:57 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:03:53 time: 0.0573 data_time: 0.0057 memory: 736 2022/08/08 23:28:58 - mmengine - INFO - Epoch(val) [5][2220/6282] eta: 0:03:38 time: 0.0538 data_time: 0.0044 memory: 736 2022/08/08 23:28:59 - mmengine - INFO - Epoch(val) [5][2240/6282] eta: 0:03:41 time: 0.0549 data_time: 0.0062 memory: 736 2022/08/08 23:29:00 - mmengine - INFO - Epoch(val) [5][2260/6282] eta: 0:03:49 time: 0.0571 data_time: 0.0049 memory: 741 2022/08/08 23:29:01 - mmengine - INFO - Epoch(val) [5][2280/6282] eta: 0:03:41 time: 0.0554 data_time: 0.0057 memory: 741 2022/08/08 23:29:02 - mmengine - INFO - Epoch(val) [5][2300/6282] eta: 0:03:41 time: 0.0556 data_time: 0.0055 memory: 741 2022/08/08 23:29:03 - mmengine - INFO - Epoch(val) [5][2320/6282] eta: 0:03:52 time: 0.0587 data_time: 0.0068 memory: 741 2022/08/08 23:29:04 - mmengine - INFO - Epoch(val) [5][2340/6282] eta: 0:03:30 time: 0.0535 data_time: 0.0042 memory: 741 2022/08/08 23:29:06 - mmengine - INFO - Epoch(val) [5][2360/6282] eta: 0:03:46 time: 0.0576 data_time: 0.0043 memory: 736 2022/08/08 23:29:07 - mmengine - INFO - Epoch(val) [5][2380/6282] eta: 0:03:52 time: 0.0595 data_time: 0.0060 memory: 736 2022/08/08 23:29:08 - mmengine - INFO - Epoch(val) [5][2400/6282] eta: 0:03:57 time: 0.0612 data_time: 0.0050 memory: 736 2022/08/08 23:29:09 - mmengine - INFO - Epoch(val) [5][2420/6282] eta: 0:03:39 time: 0.0568 data_time: 0.0044 memory: 736 2022/08/08 23:29:10 - mmengine - INFO - Epoch(val) [5][2440/6282] eta: 0:03:38 time: 0.0568 data_time: 0.0048 memory: 736 2022/08/08 23:29:12 - mmengine - INFO - Epoch(val) [5][2460/6282] eta: 0:06:14 time: 0.0981 data_time: 0.0187 memory: 806 2022/08/08 23:29:14 - mmengine - INFO - Epoch(val) [5][2480/6282] eta: 0:05:10 time: 0.0818 data_time: 0.0170 memory: 806 2022/08/08 23:29:16 - mmengine - INFO - Epoch(val) [5][2500/6282] eta: 0:05:32 time: 0.0880 data_time: 0.0271 memory: 806 2022/08/08 23:29:17 - mmengine - INFO - Epoch(val) [5][2520/6282] eta: 0:05:23 time: 0.0859 data_time: 0.0273 memory: 806 2022/08/08 23:29:20 - mmengine - INFO - Epoch(val) [5][2540/6282] eta: 0:07:14 time: 0.1161 data_time: 0.0579 memory: 806 2022/08/08 23:29:23 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:09:50 time: 0.1587 data_time: 0.1020 memory: 806 2022/08/08 23:29:26 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:10:36 time: 0.1719 data_time: 0.1135 memory: 806 2022/08/08 23:29:30 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:09:47 time: 0.1596 data_time: 0.1017 memory: 806 2022/08/08 23:29:33 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:09:35 time: 0.1572 data_time: 0.0706 memory: 806 2022/08/08 23:29:36 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:09:43 time: 0.1603 data_time: 0.0987 memory: 806 2022/08/08 23:29:37 - mmengine - INFO - Epoch(val) [5][2660/6282] eta: 0:04:31 time: 0.0749 data_time: 0.0048 memory: 899 2022/08/08 23:29:39 - mmengine - INFO - Epoch(val) [5][2680/6282] eta: 0:04:48 time: 0.0802 data_time: 0.0057 memory: 899 2022/08/08 23:29:41 - mmengine - INFO - Epoch(val) [5][2700/6282] eta: 0:04:29 time: 0.0753 data_time: 0.0058 memory: 899 2022/08/08 23:29:42 - mmengine - INFO - Epoch(val) [5][2720/6282] eta: 0:04:47 time: 0.0808 data_time: 0.0068 memory: 899 2022/08/08 23:29:44 - mmengine - INFO - Epoch(val) [5][2740/6282] eta: 0:04:41 time: 0.0796 data_time: 0.0062 memory: 899 2022/08/08 23:29:45 - mmengine - INFO - Epoch(val) [5][2760/6282] eta: 0:03:19 time: 0.0565 data_time: 0.0046 memory: 741 2022/08/08 23:29:46 - mmengine - INFO - Epoch(val) [5][2780/6282] eta: 0:03:25 time: 0.0586 data_time: 0.0052 memory: 741 2022/08/08 23:29:47 - mmengine - INFO - Epoch(val) [5][2800/6282] eta: 0:03:35 time: 0.0618 data_time: 0.0062 memory: 741 2022/08/08 23:29:48 - mmengine - INFO - Epoch(val) [5][2820/6282] eta: 0:03:16 time: 0.0568 data_time: 0.0042 memory: 741 2022/08/08 23:29:50 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:03:19 time: 0.0581 data_time: 0.0051 memory: 741 2022/08/08 23:29:51 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:03:46 time: 0.0663 data_time: 0.0078 memory: 806 2022/08/08 23:29:53 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:05:31 time: 0.0975 data_time: 0.0201 memory: 806 2022/08/08 23:29:54 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:03:38 time: 0.0646 data_time: 0.0057 memory: 806 2022/08/08 23:29:55 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:03:06 time: 0.0555 data_time: 0.0042 memory: 806 2022/08/08 23:29:56 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:03:00 time: 0.0541 data_time: 0.0038 memory: 769 2022/08/08 23:29:58 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:03:01 time: 0.0547 data_time: 0.0045 memory: 769 2022/08/08 23:29:59 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:02:59 time: 0.0544 data_time: 0.0041 memory: 769 2022/08/08 23:30:00 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:02:56 time: 0.0537 data_time: 0.0040 memory: 769 2022/08/08 23:30:01 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:03:09 time: 0.0580 data_time: 0.0038 memory: 806 2022/08/08 23:30:02 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:03:24 time: 0.0630 data_time: 0.0052 memory: 806 2022/08/08 23:30:03 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:03:28 time: 0.0648 data_time: 0.0048 memory: 806 2022/08/08 23:30:05 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:03:28 time: 0.0652 data_time: 0.0064 memory: 806 2022/08/08 23:30:06 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:03:12 time: 0.0605 data_time: 0.0061 memory: 806 2022/08/08 23:30:07 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:03:01 time: 0.0573 data_time: 0.0056 memory: 741 2022/08/08 23:30:08 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:03:10 time: 0.0608 data_time: 0.0054 memory: 741 2022/08/08 23:30:10 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:03:05 time: 0.0593 data_time: 0.0054 memory: 741 2022/08/08 23:30:11 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:02:58 time: 0.0576 data_time: 0.0046 memory: 741 2022/08/08 23:30:12 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:03:39 time: 0.0712 data_time: 0.0074 memory: 806 2022/08/08 23:30:14 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:03:55 time: 0.0768 data_time: 0.0126 memory: 806 2022/08/08 23:30:15 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:04:16 time: 0.0843 data_time: 0.0224 memory: 806 2022/08/08 23:30:17 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:03:39 time: 0.0727 data_time: 0.0111 memory: 806 2022/08/08 23:30:18 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:03:10 time: 0.0636 data_time: 0.0053 memory: 806 2022/08/08 23:30:19 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:03:11 time: 0.0644 data_time: 0.0057 memory: 806 2022/08/08 23:30:21 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:03:09 time: 0.0641 data_time: 0.0043 memory: 806 2022/08/08 23:30:22 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:04:14 time: 0.0864 data_time: 0.0088 memory: 806 2022/08/08 23:30:24 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:03:15 time: 0.0669 data_time: 0.0046 memory: 806 2022/08/08 23:30:25 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:03:03 time: 0.0631 data_time: 0.0049 memory: 806 2022/08/08 23:30:26 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:02:37 time: 0.0548 data_time: 0.0044 memory: 736 2022/08/08 23:30:27 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:02:38 time: 0.0555 data_time: 0.0044 memory: 736 2022/08/08 23:30:28 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:02:28 time: 0.0523 data_time: 0.0041 memory: 736 2022/08/08 23:30:29 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:02:25 time: 0.0515 data_time: 0.0041 memory: 736 2022/08/08 23:30:30 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:02:19 time: 0.0498 data_time: 0.0035 memory: 736 2022/08/08 23:30:31 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:02:15 time: 0.0488 data_time: 0.0034 memory: 736 2022/08/08 23:30:32 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:02:24 time: 0.0522 data_time: 0.0065 memory: 736 2022/08/08 23:30:33 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:02:22 time: 0.0521 data_time: 0.0051 memory: 736 2022/08/08 23:30:34 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:02:18 time: 0.0510 data_time: 0.0040 memory: 736 2022/08/08 23:30:36 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:02:26 time: 0.0541 data_time: 0.0040 memory: 786 2022/08/08 23:30:37 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:02:32 time: 0.0569 data_time: 0.0042 memory: 786 2022/08/08 23:30:38 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:02:33 time: 0.0577 data_time: 0.0055 memory: 786 2022/08/08 23:30:39 - mmengine - INFO - Epoch(val) [5][3640/6282] eta: 0:02:53 time: 0.0656 data_time: 0.0065 memory: 786 2022/08/08 23:30:41 - mmengine - INFO - Epoch(val) [5][3660/6282] eta: 0:04:00 time: 0.0918 data_time: 0.0073 memory: 786 2022/08/08 23:30:42 - mmengine - INFO - Epoch(val) [5][3680/6282] eta: 0:03:14 time: 0.0746 data_time: 0.0108 memory: 806 2022/08/08 23:30:44 - mmengine - INFO - Epoch(val) [5][3700/6282] eta: 0:03:36 time: 0.0838 data_time: 0.0191 memory: 806 2022/08/08 23:30:46 - mmengine - INFO - Epoch(val) [5][3720/6282] eta: 0:03:58 time: 0.0929 data_time: 0.0317 memory: 806 2022/08/08 23:30:48 - mmengine - INFO - Epoch(val) [5][3740/6282] eta: 0:03:44 time: 0.0883 data_time: 0.0229 memory: 806 2022/08/08 23:30:50 - mmengine - INFO - Epoch(val) [5][3760/6282] eta: 0:03:45 time: 0.0896 data_time: 0.0282 memory: 806 2022/08/08 23:30:52 - mmengine - INFO - Epoch(val) [5][3780/6282] eta: 0:04:04 time: 0.0976 data_time: 0.0348 memory: 806 2022/08/08 23:30:54 - mmengine - INFO - Epoch(val) [5][3800/6282] eta: 0:04:07 time: 0.0998 data_time: 0.0069 memory: 806 2022/08/08 23:30:55 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:02:51 time: 0.0699 data_time: 0.0049 memory: 806 2022/08/08 23:30:57 - mmengine - INFO - Epoch(val) [5][3840/6282] eta: 0:03:39 time: 0.0901 data_time: 0.0267 memory: 806 2022/08/08 23:30:59 - mmengine - INFO - Epoch(val) [5][3860/6282] eta: 0:03:26 time: 0.0852 data_time: 0.0186 memory: 806 2022/08/08 23:31:00 - mmengine - INFO - Epoch(val) [5][3880/6282] eta: 0:03:34 time: 0.0895 data_time: 0.0275 memory: 806 2022/08/08 23:31:02 - mmengine - INFO - Epoch(val) [5][3900/6282] eta: 0:03:08 time: 0.0791 data_time: 0.0182 memory: 806 2022/08/08 23:31:04 - mmengine - INFO - Epoch(val) [5][3920/6282] eta: 0:03:23 time: 0.0862 data_time: 0.0222 memory: 806 2022/08/08 23:31:05 - mmengine - INFO - Epoch(val) [5][3940/6282] eta: 0:02:51 time: 0.0731 data_time: 0.0112 memory: 806 2022/08/08 23:31:06 - mmengine - INFO - Epoch(val) [5][3960/6282] eta: 0:02:37 time: 0.0680 data_time: 0.0107 memory: 806 2022/08/08 23:31:08 - mmengine - INFO - Epoch(val) [5][3980/6282] eta: 0:02:25 time: 0.0633 data_time: 0.0043 memory: 806 2022/08/08 23:31:09 - mmengine - INFO - Epoch(val) [5][4000/6282] eta: 0:02:22 time: 0.0625 data_time: 0.0055 memory: 806 2022/08/08 23:31:10 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:02:14 time: 0.0593 data_time: 0.0040 memory: 806 2022/08/08 23:31:11 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:02:19 time: 0.0620 data_time: 0.0039 memory: 899 2022/08/08 23:31:13 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:03:35 time: 0.0970 data_time: 0.0048 memory: 899 2022/08/08 23:31:15 - mmengine - INFO - Epoch(val) [5][4080/6282] eta: 0:02:33 time: 0.0697 data_time: 0.0044 memory: 899 2022/08/08 23:31:16 - mmengine - INFO - Epoch(val) [5][4100/6282] eta: 0:02:34 time: 0.0707 data_time: 0.0046 memory: 899 2022/08/08 23:31:18 - mmengine - INFO - Epoch(val) [5][4120/6282] eta: 0:02:51 time: 0.0795 data_time: 0.0059 memory: 899 2022/08/08 23:31:19 - mmengine - INFO - Epoch(val) [5][4140/6282] eta: 0:02:34 time: 0.0721 data_time: 0.0059 memory: 899 2022/08/08 23:31:20 - mmengine - INFO - Epoch(val) [5][4160/6282] eta: 0:02:02 time: 0.0576 data_time: 0.0050 memory: 736 2022/08/08 23:31:22 - mmengine - INFO - Epoch(val) [5][4180/6282] eta: 0:01:57 time: 0.0558 data_time: 0.0056 memory: 736 2022/08/08 23:31:23 - mmengine - INFO - Epoch(val) [5][4200/6282] eta: 0:01:58 time: 0.0571 data_time: 0.0059 memory: 736 2022/08/08 23:31:24 - mmengine - INFO - Epoch(val) [5][4220/6282] eta: 0:01:56 time: 0.0565 data_time: 0.0043 memory: 736 2022/08/08 23:31:25 - mmengine - INFO - Epoch(val) [5][4240/6282] eta: 0:01:51 time: 0.0546 data_time: 0.0047 memory: 736 2022/08/08 23:31:26 - mmengine - INFO - Epoch(val) [5][4260/6282] eta: 0:01:47 time: 0.0533 data_time: 0.0041 memory: 735 2022/08/08 23:31:27 - mmengine - INFO - Epoch(val) [5][4280/6282] eta: 0:01:50 time: 0.0553 data_time: 0.0041 memory: 735 2022/08/08 23:31:28 - mmengine - INFO - Epoch(val) [5][4300/6282] eta: 0:01:44 time: 0.0528 data_time: 0.0052 memory: 735 2022/08/08 23:31:29 - mmengine - INFO - Epoch(val) [5][4320/6282] eta: 0:01:37 time: 0.0496 data_time: 0.0037 memory: 735 2022/08/08 23:31:30 - mmengine - INFO - Epoch(val) [5][4340/6282] eta: 0:01:38 time: 0.0508 data_time: 0.0033 memory: 735 2022/08/08 23:31:31 - mmengine - INFO - Epoch(val) [5][4360/6282] eta: 0:01:57 time: 0.0610 data_time: 0.0042 memory: 806 2022/08/08 23:31:33 - mmengine - INFO - Epoch(val) [5][4380/6282] eta: 0:02:46 time: 0.0874 data_time: 0.0044 memory: 806 2022/08/08 23:31:34 - mmengine - INFO - Epoch(val) [5][4400/6282] eta: 0:01:54 time: 0.0606 data_time: 0.0041 memory: 806 2022/08/08 23:31:36 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:01:54 time: 0.0613 data_time: 0.0050 memory: 806 2022/08/08 23:31:37 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:01:59 time: 0.0647 data_time: 0.0055 memory: 814 2022/08/08 23:31:38 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:01:57 time: 0.0644 data_time: 0.0048 memory: 814 2022/08/08 23:31:39 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:01:54 time: 0.0638 data_time: 0.0045 memory: 814 2022/08/08 23:31:41 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:01:55 time: 0.0648 data_time: 0.0049 memory: 814 2022/08/08 23:31:42 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:02:06 time: 0.0719 data_time: 0.0057 memory: 814 2022/08/08 23:31:43 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:36 time: 0.0556 data_time: 0.0058 memory: 742 2022/08/08 23:31:44 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:38 time: 0.0571 data_time: 0.0056 memory: 742 2022/08/08 23:31:46 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:33 time: 0.0551 data_time: 0.0041 memory: 742 2022/08/08 23:31:47 - 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mmengine - INFO - Epoch(val) [5][4780/6282] eta: 0:01:27 time: 0.0584 data_time: 0.0061 memory: 766 2022/08/08 23:31:59 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:26 time: 0.0582 data_time: 0.0059 memory: 766 2022/08/08 23:32:00 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:01:28 time: 0.0602 data_time: 0.0057 memory: 806 2022/08/08 23:32:01 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:29 time: 0.0621 data_time: 0.0044 memory: 806 2022/08/08 23:32:03 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:36 time: 0.0681 data_time: 0.0056 memory: 806 2022/08/08 23:32:04 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:01:28 time: 0.0630 data_time: 0.0054 memory: 806 2022/08/08 23:32:05 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:24 time: 0.0611 data_time: 0.0047 memory: 806 2022/08/08 23:32:07 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:25 time: 0.0626 data_time: 0.0061 memory: 809 2022/08/08 23:32:08 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:01:26 time: 0.0642 data_time: 0.0055 memory: 809 2022/08/08 23:32:09 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:22 time: 0.0627 data_time: 0.0044 memory: 809 2022/08/08 23:32:11 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:28 time: 0.0679 data_time: 0.0049 memory: 809 2022/08/08 23:32:12 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:01:25 time: 0.0670 data_time: 0.0048 memory: 809 2022/08/08 23:32:13 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:01:22 time: 0.0653 data_time: 0.0069 memory: 809 2022/08/08 23:32:14 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:01:07 time: 0.0540 data_time: 0.0055 memory: 741 2022/08/08 23:32:15 - mmengine - INFO - Epoch(val) [5][5060/6282] eta: 0:01:09 time: 0.0572 data_time: 0.0047 memory: 741 2022/08/08 23:32:17 - mmengine - INFO - Epoch(val) [5][5080/6282] eta: 0:01:08 time: 0.0566 data_time: 0.0054 memory: 741 2022/08/08 23:32:18 - mmengine - INFO - Epoch(val) [5][5100/6282] eta: 0:01:06 time: 0.0559 data_time: 0.0051 memory: 741 2022/08/08 23:32:19 - mmengine - INFO - Epoch(val) [5][5120/6282] eta: 0:01:04 time: 0.0557 data_time: 0.0050 memory: 741 2022/08/08 23:32:20 - mmengine - INFO - Epoch(val) [5][5140/6282] eta: 0:01:05 time: 0.0570 data_time: 0.0043 memory: 736 2022/08/08 23:32:21 - mmengine - INFO - Epoch(val) [5][5160/6282] eta: 0:01:02 time: 0.0560 data_time: 0.0044 memory: 736 2022/08/08 23:32:22 - mmengine - INFO - Epoch(val) [5][5180/6282] eta: 0:01:02 time: 0.0565 data_time: 0.0058 memory: 736 2022/08/08 23:32:23 - mmengine - INFO - Epoch(val) [5][5200/6282] eta: 0:01:00 time: 0.0561 data_time: 0.0046 memory: 736 2022/08/08 23:32:24 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:00:59 time: 0.0559 data_time: 0.0043 memory: 736 2022/08/08 23:32:26 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:00:57 time: 0.0550 data_time: 0.0060 memory: 735 2022/08/08 23:32:27 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:00:55 time: 0.0542 data_time: 0.0043 memory: 735 2022/08/08 23:32:28 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:00:58 time: 0.0581 data_time: 0.0060 memory: 735 2022/08/08 23:32:29 - mmengine - INFO - Epoch(val) [5][5300/6282] eta: 0:00:55 time: 0.0568 data_time: 0.0047 memory: 735 2022/08/08 23:32:30 - mmengine - INFO - Epoch(val) [5][5320/6282] eta: 0:00:52 time: 0.0548 data_time: 0.0041 memory: 736 2022/08/08 23:32:31 - mmengine - INFO - Epoch(val) [5][5340/6282] eta: 0:00:51 time: 0.0548 data_time: 0.0047 memory: 736 2022/08/08 23:32:33 - mmengine - INFO - Epoch(val) [5][5360/6282] eta: 0:01:12 time: 0.0789 data_time: 0.0055 memory: 736 2022/08/08 23:32:34 - mmengine - INFO - Epoch(val) [5][5380/6282] eta: 0:00:49 time: 0.0543 data_time: 0.0040 memory: 736 2022/08/08 23:32:35 - mmengine - INFO - Epoch(val) [5][5400/6282] eta: 0:00:52 time: 0.0590 data_time: 0.0060 memory: 736 2022/08/08 23:32:36 - mmengine - INFO - Epoch(val) [5][5420/6282] eta: 0:00:47 time: 0.0553 data_time: 0.0058 memory: 736 2022/08/08 23:32:37 - mmengine - INFO - Epoch(val) [5][5440/6282] eta: 0:00:49 time: 0.0583 data_time: 0.0046 memory: 736 2022/08/08 23:32:38 - mmengine - INFO - Epoch(val) [5][5460/6282] eta: 0:00:46 time: 0.0566 data_time: 0.0058 memory: 736 2022/08/08 23:32:40 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:00:45 time: 0.0562 data_time: 0.0046 memory: 736 2022/08/08 23:32:41 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:00:42 time: 0.0549 data_time: 0.0047 memory: 736 2022/08/08 23:32:42 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:45 time: 0.0602 data_time: 0.0047 memory: 761 2022/08/08 23:32:43 - mmengine - INFO - Epoch(val) [5][5540/6282] eta: 0:00:43 time: 0.0592 data_time: 0.0056 memory: 761 2022/08/08 23:32:44 - mmengine - INFO - Epoch(val) [5][5560/6282] eta: 0:00:41 time: 0.0579 data_time: 0.0053 memory: 761 2022/08/08 23:32:45 - mmengine - INFO - Epoch(val) [5][5580/6282] eta: 0:00:42 time: 0.0603 data_time: 0.0052 memory: 761 2022/08/08 23:32:47 - mmengine - INFO - Epoch(val) [5][5600/6282] eta: 0:00:39 time: 0.0574 data_time: 0.0052 memory: 761 2022/08/08 23:32:48 - mmengine - INFO - Epoch(val) [5][5620/6282] eta: 0:00:37 time: 0.0573 data_time: 0.0041 memory: 761 2022/08/08 23:32:49 - mmengine - INFO - Epoch(val) [5][5640/6282] eta: 0:00:35 time: 0.0548 data_time: 0.0050 memory: 736 2022/08/08 23:32:50 - mmengine - INFO - Epoch(val) [5][5660/6282] eta: 0:00:33 time: 0.0541 data_time: 0.0043 memory: 736 2022/08/08 23:32:51 - mmengine - INFO - Epoch(val) [5][5680/6282] eta: 0:00:31 time: 0.0516 data_time: 0.0040 memory: 736 2022/08/08 23:32:52 - mmengine - INFO - Epoch(val) [5][5700/6282] eta: 0:00:29 time: 0.0507 data_time: 0.0041 memory: 736 2022/08/08 23:32:54 - mmengine - INFO - Epoch(val) [5][5720/6282] eta: 0:00:44 time: 0.0787 data_time: 0.0037 memory: 777 2022/08/08 23:32:55 - mmengine - INFO - Epoch(val) [5][5740/6282] eta: 0:00:29 time: 0.0549 data_time: 0.0040 memory: 777 2022/08/08 23:32:56 - mmengine - INFO - Epoch(val) [5][5760/6282] eta: 0:00:29 time: 0.0573 data_time: 0.0055 memory: 777 2022/08/08 23:32:57 - mmengine - INFO - Epoch(val) [5][5780/6282] eta: 0:00:29 time: 0.0583 data_time: 0.0052 memory: 777 2022/08/08 23:32:58 - mmengine - INFO - Epoch(val) [5][5800/6282] eta: 0:00:28 time: 0.0598 data_time: 0.0056 memory: 777 2022/08/08 23:32:59 - mmengine - INFO - Epoch(val) [5][5820/6282] eta: 0:00:27 time: 0.0602 data_time: 0.0061 memory: 777 2022/08/08 23:33:01 - mmengine - INFO - Epoch(val) [5][5840/6282] eta: 0:00:25 time: 0.0585 data_time: 0.0048 memory: 761 2022/08/08 23:33:02 - mmengine - INFO - Epoch(val) [5][5860/6282] eta: 0:00:24 time: 0.0580 data_time: 0.0055 memory: 761 2022/08/08 23:33:03 - mmengine - INFO - Epoch(val) [5][5880/6282] eta: 0:00:24 time: 0.0597 data_time: 0.0068 memory: 761 2022/08/08 23:33:04 - mmengine - INFO - Epoch(val) [5][5900/6282] eta: 0:00:22 time: 0.0595 data_time: 0.0056 memory: 761 2022/08/08 23:33:05 - mmengine - INFO - Epoch(val) [5][5920/6282] eta: 0:00:20 time: 0.0561 data_time: 0.0046 memory: 761 2022/08/08 23:33:06 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:18 time: 0.0555 data_time: 0.0051 memory: 736 2022/08/08 23:33:07 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:16 time: 0.0519 data_time: 0.0036 memory: 736 2022/08/08 23:33:09 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:16 time: 0.0550 data_time: 0.0048 memory: 736 2022/08/08 23:33:10 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:17 time: 0.0615 data_time: 0.0053 memory: 806 2022/08/08 23:33:11 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:17 time: 0.0675 data_time: 0.0053 memory: 806 2022/08/08 23:33:13 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:22 time: 0.0928 data_time: 0.0066 memory: 806 2022/08/08 23:33:14 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:15 time: 0.0698 data_time: 0.0066 memory: 806 2022/08/08 23:33:16 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:13 time: 0.0690 data_time: 0.0064 memory: 806 2022/08/08 23:33:17 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:13 time: 0.0747 data_time: 0.0128 memory: 806 2022/08/08 23:33:19 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:15 time: 0.0954 data_time: 0.0328 memory: 806 2022/08/08 23:33:21 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:10 time: 0.0770 data_time: 0.0156 memory: 806 2022/08/08 23:33:22 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:09 time: 0.0771 data_time: 0.0185 memory: 806 2022/08/08 23:33:23 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:06 time: 0.0590 data_time: 0.0049 memory: 806 2022/08/08 23:33:25 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:04 time: 0.0567 data_time: 0.0036 memory: 806 2022/08/08 23:33:26 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:03 time: 0.0554 data_time: 0.0034 memory: 806 2022/08/08 23:33:27 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:02 time: 0.0537 data_time: 0.0029 memory: 806 2022/08/08 23:33:28 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:01 time: 0.0531 data_time: 0.0028 memory: 806 2022/08/08 23:33:29 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0528 data_time: 0.0026 memory: 806 2022/08/08 23:38:18 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.2446 2022/08/08 23:38:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8/best_mAP/mAP@0.5IOU_epoch_5.pth is removed 2022/08/08 23:38:22 - mmengine - INFO - The best checkpoint with 0.2446 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2022/08/08 23:38:36 - mmengine - INFO - Epoch(train) [6][20/2881] lr: 1.0000e-01 eta: 8:15:34 time: 0.7410 data_time: 0.1479 memory: 13802 grad_norm: 0.1535 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.7812 recall@top3: 0.9010 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0463 loss: 0.0463 2022/08/08 23:38:49 - mmengine - INFO - Epoch(train) [6][40/2881] lr: 1.0000e-01 eta: 8:15:16 time: 0.6097 data_time: 0.0222 memory: 13802 grad_norm: 0.1473 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5382 recall@top3: 0.7431 prec@top3: 0.5556 recall@top5: 0.8750 prec@top5: 0.4167 loss_action_cls: 0.0450 loss: 0.0450 2022/08/08 23:39:01 - mmengine - INFO - Epoch(train) [6][60/2881] lr: 1.0000e-01 eta: 8:14:59 time: 0.6313 data_time: 0.0234 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.7981 prec@thr=0.5: 0.8429 recall@top3: 0.7981 prec@top3: 0.6410 recall@top5: 0.9391 prec@top5: 0.4692 loss_action_cls: 0.0447 loss: 0.0447 2022/08/08 23:39:14 - mmengine - INFO - Epoch(train) [6][80/2881] lr: 1.0000e-01 eta: 8:14:43 time: 0.6551 data_time: 0.0247 memory: 13802 grad_norm: 0.1426 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.7143 recall@top3: 0.8651 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4476 loss_action_cls: 0.0506 loss: 0.0506 2022/08/08 23:39:27 - mmengine - INFO - Epoch(train) [6][100/2881] lr: 1.0000e-01 eta: 8:14:25 time: 0.6127 data_time: 0.0225 memory: 13802 grad_norm: 0.1492 recall@thr=0.5: 0.8240 prec@thr=0.5: 0.9133 recall@top3: 0.8580 prec@top3: 0.7733 recall@top5: 0.9800 prec@top5: 0.5440 loss_action_cls: 0.0467 loss: 0.0467 2022/08/08 23:39:39 - mmengine - INFO - Epoch(train) [6][120/2881] lr: 1.0000e-01 eta: 8:14:08 time: 0.6329 data_time: 0.0216 memory: 13802 grad_norm: 0.1457 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7632 recall@top3: 0.7763 prec@top3: 0.6316 recall@top5: 0.9079 prec@top5: 0.4421 loss_action_cls: 0.0450 loss: 0.0450 2022/08/08 23:39:51 - mmengine - INFO - Epoch(train) [6][140/2881] lr: 1.0000e-01 eta: 8:13:49 time: 0.6071 data_time: 0.0213 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8472 recall@top3: 0.8704 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0473 loss: 0.0473 2022/08/08 23:40:04 - mmengine - INFO - Epoch(train) [6][160/2881] lr: 1.0000e-01 eta: 8:13:31 time: 0.6176 data_time: 0.0200 memory: 13802 grad_norm: 0.1476 recall@thr=0.5: 0.7202 prec@thr=0.5: 0.8377 recall@top3: 0.7842 prec@top3: 0.7368 recall@top5: 0.9895 prec@top5: 0.5789 loss_action_cls: 0.0495 loss: 0.0495 2022/08/08 23:40:16 - mmengine - INFO - Epoch(train) [6][180/2881] lr: 1.0000e-01 eta: 8:13:14 time: 0.6285 data_time: 0.0215 memory: 13802 grad_norm: 0.1397 recall@thr=0.5: 0.8778 prec@thr=0.5: 0.8897 recall@top3: 0.7881 prec@top3: 0.7778 recall@top5: 0.9373 prec@top5: 0.5905 loss_action_cls: 0.0441 loss: 0.0441 2022/08/08 23:40:28 - mmengine - INFO - Epoch(train) [6][200/2881] lr: 1.0000e-01 eta: 8:12:55 time: 0.6018 data_time: 0.0200 memory: 13802 grad_norm: 0.1533 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.7083 recall@top3: 0.7500 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.4875 loss_action_cls: 0.0493 loss: 0.0493 2022/08/08 23:40:41 - mmengine - INFO - Epoch(train) [6][220/2881] lr: 1.0000e-01 eta: 8:12:38 time: 0.6267 data_time: 0.0209 memory: 13802 grad_norm: 0.1421 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.8889 recall@top3: 0.8690 prec@top3: 0.8095 recall@top5: 0.9087 prec@top5: 0.5238 loss_action_cls: 0.0483 loss: 0.0483 2022/08/08 23:40:53 - mmengine - INFO - Epoch(train) [6][240/2881] lr: 1.0000e-01 eta: 8:12:20 time: 0.6240 data_time: 0.0217 memory: 13802 grad_norm: 0.1483 recall@thr=0.5: 0.6139 prec@thr=0.5: 0.6736 recall@top3: 0.6778 prec@top3: 0.5139 recall@top5: 0.8250 prec@top5: 0.3917 loss_action_cls: 0.0490 loss: 0.0490 2022/08/08 23:41:06 - mmengine - INFO - Epoch(train) [6][260/2881] lr: 1.0000e-01 eta: 8:12:04 time: 0.6344 data_time: 0.0226 memory: 13802 grad_norm: 0.1504 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.6270 recall@top3: 0.7540 prec@top3: 0.6032 recall@top5: 0.9365 prec@top5: 0.4571 loss_action_cls: 0.0485 loss: 0.0485 2022/08/08 23:41:19 - mmengine - INFO - Epoch(train) [6][280/2881] lr: 1.0000e-01 eta: 8:11:47 time: 0.6322 data_time: 0.0207 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8646 recall@top3: 0.8333 prec@top3: 0.6389 recall@top5: 0.9410 prec@top5: 0.4583 loss_action_cls: 0.0493 loss: 0.0493 2022/08/08 23:41:32 - mmengine - INFO - Epoch(train) [6][300/2881] lr: 1.0000e-01 eta: 8:11:30 time: 0.6409 data_time: 0.0274 memory: 13802 grad_norm: 0.1456 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6562 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0506 loss: 0.0506 2022/08/08 23:41:46 - mmengine - INFO - Epoch(train) [6][320/2881] lr: 1.0000e-01 eta: 8:11:18 time: 0.7234 data_time: 0.0248 memory: 13802 grad_norm: 0.1587 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7302 recall@top3: 0.8056 prec@top3: 0.6825 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0486 loss: 0.0486 2022/08/08 23:42:03 - mmengine - INFO - Epoch(train) [6][340/2881] lr: 1.0000e-01 eta: 8:11:13 time: 0.8268 data_time: 0.0244 memory: 13802 grad_norm: 0.1421 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.7000 recall@top3: 0.5911 prec@top3: 0.5778 recall@top5: 0.8444 prec@top5: 0.5067 loss_action_cls: 0.0420 loss: 0.0420 2022/08/08 23:42:18 - mmengine - INFO - Epoch(train) [6][360/2881] lr: 1.0000e-01 eta: 8:11:03 time: 0.7492 data_time: 0.0236 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.6074 prec@thr=0.5: 0.7361 recall@top3: 0.7370 prec@top3: 0.5741 recall@top5: 0.8843 prec@top5: 0.4222 loss_action_cls: 0.0475 loss: 0.0475 2022/08/08 23:42:34 - mmengine - INFO - Epoch(train) [6][380/2881] lr: 1.0000e-01 eta: 8:10:56 time: 0.8093 data_time: 0.0284 memory: 13802 grad_norm: 0.1501 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.7937 recall@top3: 0.7460 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.5810 loss_action_cls: 0.0456 loss: 0.0456 2022/08/08 23:42:49 - mmengine - INFO - Epoch(train) [6][400/2881] lr: 1.0000e-01 eta: 8:10:46 time: 0.7492 data_time: 0.0228 memory: 13802 grad_norm: 0.1403 recall@thr=0.5: 0.6121 prec@thr=0.5: 0.6299 recall@top3: 0.7529 prec@top3: 0.6322 recall@top5: 0.8937 prec@top5: 0.4552 loss_action_cls: 0.0474 loss: 0.0474 2022/08/08 23:43:01 - mmengine - INFO - Epoch(train) [6][420/2881] lr: 1.0000e-01 eta: 8:10:28 time: 0.6171 data_time: 0.0215 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7059 recall@top3: 0.9020 prec@top3: 0.5098 recall@top5: 0.9020 prec@top5: 0.3059 loss_action_cls: 0.0514 loss: 0.0514 2022/08/08 23:43:13 - mmengine - INFO - Epoch(train) [6][440/2881] lr: 1.0000e-01 eta: 8:10:10 time: 0.6163 data_time: 0.0234 memory: 13802 grad_norm: 0.1516 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.7383 recall@top3: 0.8042 prec@top3: 0.5833 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0479 loss: 0.0479 2022/08/08 23:43:26 - mmengine - INFO - Epoch(train) [6][460/2881] lr: 1.0000e-01 eta: 8:09:53 time: 0.6297 data_time: 0.0241 memory: 13802 grad_norm: 0.1462 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8333 recall@top3: 0.7701 prec@top3: 0.7222 recall@top5: 0.8688 prec@top5: 0.5083 loss_action_cls: 0.0480 loss: 0.0480 2022/08/08 23:43:38 - mmengine - INFO - Epoch(train) [6][480/2881] lr: 1.0000e-01 eta: 8:09:36 time: 0.6271 data_time: 0.0213 memory: 13802 grad_norm: 0.1424 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.7679 recall@top3: 0.7885 prec@top3: 0.7949 recall@top5: 0.9776 prec@top5: 0.5923 loss_action_cls: 0.0471 loss: 0.0471 2022/08/08 23:43:51 - mmengine - INFO - Epoch(train) [6][500/2881] lr: 1.0000e-01 eta: 8:09:19 time: 0.6319 data_time: 0.0218 memory: 13802 grad_norm: 0.1415 recall@thr=0.5: 0.8910 prec@thr=0.5: 0.9038 recall@top3: 0.9038 prec@top3: 0.8333 recall@top5: 0.9551 prec@top5: 0.5385 loss_action_cls: 0.0466 loss: 0.0466 2022/08/08 23:44:04 - mmengine - INFO - Epoch(train) [6][520/2881] lr: 1.0000e-01 eta: 8:09:03 time: 0.6449 data_time: 0.0270 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.7354 recall@top3: 0.7896 prec@top3: 0.6250 recall@top5: 0.9083 prec@top5: 0.4417 loss_action_cls: 0.0482 loss: 0.0482 2022/08/08 23:44:17 - mmengine - INFO - Epoch(train) [6][540/2881] lr: 1.0000e-01 eta: 8:08:47 time: 0.6603 data_time: 0.0223 memory: 13802 grad_norm: 0.1429 recall@thr=0.5: 0.7588 prec@thr=0.5: 0.7456 recall@top3: 0.7851 prec@top3: 0.7544 recall@top5: 0.9518 prec@top5: 0.5474 loss_action_cls: 0.0450 loss: 0.0450 2022/08/08 23:44:29 - mmengine - INFO - Epoch(train) [6][560/2881] lr: 1.0000e-01 eta: 8:08:29 time: 0.6122 data_time: 0.0210 memory: 13802 grad_norm: 0.1416 recall@thr=0.5: 0.5311 prec@thr=0.5: 0.8333 recall@top3: 0.7911 prec@top3: 0.7778 recall@top5: 0.9511 prec@top5: 0.5867 loss_action_cls: 0.0440 loss: 0.0440 2022/08/08 23:44:42 - mmengine - INFO - Epoch(train) [6][580/2881] lr: 1.0000e-01 eta: 8:08:13 time: 0.6474 data_time: 0.0214 memory: 13802 grad_norm: 0.1470 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.8333 recall@top3: 0.8571 prec@top3: 0.7143 recall@top5: 0.9841 prec@top5: 0.4952 loss_action_cls: 0.0468 loss: 0.0468 2022/08/08 23:44:52 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 23:44:55 - mmengine - INFO - Epoch(train) [6][600/2881] lr: 1.0000e-01 eta: 8:07:57 time: 0.6480 data_time: 0.0213 memory: 13802 grad_norm: 0.1470 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6458 recall@top3: 0.8056 prec@top3: 0.6111 recall@top5: 0.9583 prec@top5: 0.4333 loss_action_cls: 0.0462 loss: 0.0462 2022/08/08 23:45:08 - mmengine - INFO - Epoch(train) [6][620/2881] lr: 1.0000e-01 eta: 8:07:41 time: 0.6327 data_time: 0.0232 memory: 13802 grad_norm: 0.1442 recall@thr=0.5: 0.7634 prec@thr=0.5: 0.7984 recall@top3: 0.7957 prec@top3: 0.6989 recall@top5: 0.8333 prec@top5: 0.4516 loss_action_cls: 0.0446 loss: 0.0446 2022/08/08 23:45:21 - mmengine - INFO - Epoch(train) [6][640/2881] lr: 1.0000e-01 eta: 8:07:24 time: 0.6395 data_time: 0.0220 memory: 13802 grad_norm: 0.1523 recall@thr=0.5: 0.8467 prec@thr=0.5: 0.9200 recall@top3: 0.8800 prec@top3: 0.7733 recall@top5: 0.9533 prec@top5: 0.5120 loss_action_cls: 0.0503 loss: 0.0503 2022/08/08 23:45:33 - mmengine - INFO - Epoch(train) [6][660/2881] lr: 1.0000e-01 eta: 8:07:07 time: 0.6220 data_time: 0.0218 memory: 13802 grad_norm: 0.1438 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.7500 recall@top3: 0.7611 prec@top3: 0.7111 recall@top5: 0.9083 prec@top5: 0.4933 loss_action_cls: 0.0457 loss: 0.0457 2022/08/08 23:45:46 - mmengine - INFO - Epoch(train) [6][680/2881] lr: 1.0000e-01 eta: 8:06:50 time: 0.6326 data_time: 0.0235 memory: 13802 grad_norm: 0.1553 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7469 recall@top3: 0.7870 prec@top3: 0.5556 recall@top5: 0.8827 prec@top5: 0.3926 loss_action_cls: 0.0456 loss: 0.0456 2022/08/08 23:45:58 - mmengine - INFO - Epoch(train) [6][700/2881] lr: 1.0000e-01 eta: 8:06:33 time: 0.6279 data_time: 0.0215 memory: 13802 grad_norm: 0.1552 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.8583 recall@top3: 0.8417 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0506 loss: 0.0506 2022/08/08 23:46:11 - mmengine - INFO - Epoch(train) [6][720/2881] lr: 1.0000e-01 eta: 8:06:15 time: 0.6110 data_time: 0.0208 memory: 13802 grad_norm: 0.1398 recall@thr=0.5: 0.5488 prec@thr=0.5: 0.8036 recall@top3: 0.7631 prec@top3: 0.6786 recall@top5: 0.9881 prec@top5: 0.5357 loss_action_cls: 0.0425 loss: 0.0425 2022/08/08 23:46:23 - mmengine - INFO - Epoch(train) [6][740/2881] lr: 1.0000e-01 eta: 8:05:58 time: 0.6316 data_time: 0.0207 memory: 13802 grad_norm: 0.1418 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.6623 recall@top3: 0.6711 prec@top3: 0.5789 recall@top5: 0.8509 prec@top5: 0.4632 loss_action_cls: 0.0505 loss: 0.0505 2022/08/08 23:46:36 - mmengine - INFO - Epoch(train) [6][760/2881] lr: 1.0000e-01 eta: 8:05:41 time: 0.6305 data_time: 0.0227 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7500 recall@top3: 0.7431 prec@top3: 0.5833 recall@top5: 0.8472 prec@top5: 0.4167 loss_action_cls: 0.0462 loss: 0.0462 2022/08/08 23:46:48 - mmengine - INFO - Epoch(train) [6][780/2881] lr: 1.0000e-01 eta: 8:05:24 time: 0.6249 data_time: 0.0200 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.8413 prec@thr=0.5: 0.8095 recall@top3: 0.8413 prec@top3: 0.5397 recall@top5: 0.9643 prec@top5: 0.4095 loss_action_cls: 0.0478 loss: 0.0478 2022/08/08 23:47:01 - mmengine - INFO - Epoch(train) [6][800/2881] lr: 1.0000e-01 eta: 8:05:07 time: 0.6337 data_time: 0.0221 memory: 13802 grad_norm: 0.1436 recall@thr=0.5: 0.8382 prec@thr=0.5: 0.8613 recall@top3: 0.8480 prec@top3: 0.8039 recall@top5: 0.9706 prec@top5: 0.5412 loss_action_cls: 0.0485 loss: 0.0485 2022/08/08 23:47:14 - mmengine - INFO - Epoch(train) [6][820/2881] lr: 1.0000e-01 eta: 8:04:51 time: 0.6408 data_time: 0.0208 memory: 13802 grad_norm: 0.1480 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7614 recall@top3: 0.8333 prec@top3: 0.7121 recall@top5: 0.9545 prec@top5: 0.5091 loss_action_cls: 0.0473 loss: 0.0473 2022/08/08 23:47:27 - mmengine - INFO - Epoch(train) [6][840/2881] lr: 1.0000e-01 eta: 8:04:34 time: 0.6287 data_time: 0.0260 memory: 13802 grad_norm: 0.1454 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7431 recall@top3: 0.8403 prec@top3: 0.7500 recall@top5: 0.9097 prec@top5: 0.5000 loss_action_cls: 0.0495 loss: 0.0495 2022/08/08 23:47:39 - mmengine - INFO - Epoch(train) [6][860/2881] lr: 1.0000e-01 eta: 8:04:16 time: 0.6073 data_time: 0.0215 memory: 13802 grad_norm: 0.1476 recall@thr=0.5: 0.5819 prec@thr=0.5: 0.5931 recall@top3: 0.6848 prec@top3: 0.4412 recall@top5: 0.9167 prec@top5: 0.3765 loss_action_cls: 0.0493 loss: 0.0493 2022/08/08 23:47:51 - mmengine - INFO - Epoch(train) [6][880/2881] lr: 1.0000e-01 eta: 8:03:59 time: 0.6294 data_time: 0.0221 memory: 13802 grad_norm: 0.1487 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.5794 recall@top3: 0.8413 prec@top3: 0.5079 recall@top5: 1.0000 prec@top5: 0.3810 loss_action_cls: 0.0496 loss: 0.0496 2022/08/08 23:48:03 - mmengine - INFO - Epoch(train) [6][900/2881] lr: 1.0000e-01 eta: 8:03:41 time: 0.6052 data_time: 0.0228 memory: 13802 grad_norm: 0.1524 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7353 recall@top3: 0.7549 prec@top3: 0.5294 recall@top5: 0.9020 prec@top5: 0.3529 loss_action_cls: 0.0432 loss: 0.0432 2022/08/08 23:48:16 - mmengine - INFO - Epoch(train) [6][920/2881] lr: 1.0000e-01 eta: 8:03:26 time: 0.6525 data_time: 0.0229 memory: 13802 grad_norm: 0.1459 recall@thr=0.5: 0.6975 prec@thr=0.5: 0.6883 recall@top3: 0.7778 prec@top3: 0.5679 recall@top5: 0.8704 prec@top5: 0.3852 loss_action_cls: 0.0412 loss: 0.0412 2022/08/08 23:48:29 - mmengine - INFO - Epoch(train) [6][940/2881] lr: 1.0000e-01 eta: 8:03:09 time: 0.6262 data_time: 0.0210 memory: 13802 grad_norm: 0.1533 recall@thr=0.5: 0.7765 prec@thr=0.5: 0.8333 recall@top3: 0.7765 prec@top3: 0.7273 recall@top5: 0.9394 prec@top5: 0.5545 loss_action_cls: 0.0446 loss: 0.0446 2022/08/08 23:48:41 - mmengine - INFO - Epoch(train) [6][960/2881] lr: 1.0000e-01 eta: 8:02:50 time: 0.6041 data_time: 0.0205 memory: 13802 grad_norm: 0.1447 recall@thr=0.5: 0.7644 prec@thr=0.5: 0.8592 recall@top3: 0.8218 prec@top3: 0.5632 recall@top5: 0.9310 prec@top5: 0.3931 loss_action_cls: 0.0466 loss: 0.0466 2022/08/08 23:48:54 - mmengine - INFO - Epoch(train) [6][980/2881] lr: 1.0000e-01 eta: 8:02:34 time: 0.6358 data_time: 0.0223 memory: 13802 grad_norm: 0.1525 recall@thr=0.5: 0.7023 prec@thr=0.5: 0.8750 recall@top3: 0.8182 prec@top3: 0.7424 recall@top5: 0.9705 prec@top5: 0.5455 loss_action_cls: 0.0469 loss: 0.0469 2022/08/08 23:49:06 - mmengine - INFO - Epoch(train) [6][1000/2881] lr: 1.0000e-01 eta: 8:02:18 time: 0.6367 data_time: 0.0241 memory: 13802 grad_norm: 0.1508 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8684 recall@top3: 0.9035 prec@top3: 0.7368 recall@top5: 0.9737 prec@top5: 0.4842 loss_action_cls: 0.0429 loss: 0.0429 2022/08/08 23:49:19 - mmengine - INFO - Epoch(train) [6][1020/2881] lr: 1.0000e-01 eta: 8:02:00 time: 0.6075 data_time: 0.0216 memory: 13802 grad_norm: 0.1370 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.6993 recall@top3: 0.8116 prec@top3: 0.6377 recall@top5: 0.9130 prec@top5: 0.4348 loss_action_cls: 0.0434 loss: 0.0434 2022/08/08 23:49:31 - mmengine - INFO - Epoch(train) [6][1040/2881] lr: 1.0000e-01 eta: 8:01:43 time: 0.6309 data_time: 0.0214 memory: 13802 grad_norm: 0.1524 recall@thr=0.5: 0.6131 prec@thr=0.5: 0.8750 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4643 loss_action_cls: 0.0468 loss: 0.0468 2022/08/08 23:49:44 - mmengine - INFO - Epoch(train) [6][1060/2881] lr: 1.0000e-01 eta: 8:01:27 time: 0.6510 data_time: 0.0224 memory: 13802 grad_norm: 0.1446 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6812 recall@top3: 0.6326 prec@top3: 0.6377 recall@top5: 0.8268 prec@top5: 0.5043 loss_action_cls: 0.0456 loss: 0.0456 2022/08/08 23:49:57 - mmengine - INFO - Epoch(train) [6][1080/2881] lr: 1.0000e-01 eta: 8:01:10 time: 0.6270 data_time: 0.0221 memory: 13802 grad_norm: 0.1471 recall@thr=0.5: 0.5524 prec@thr=0.5: 0.7381 recall@top3: 0.6238 prec@top3: 0.4762 recall@top5: 0.8048 prec@top5: 0.3857 loss_action_cls: 0.0518 loss: 0.0518 2022/08/08 23:50:09 - mmengine - INFO - Epoch(train) [6][1100/2881] lr: 1.0000e-01 eta: 8:00:52 time: 0.6031 data_time: 0.0199 memory: 13802 grad_norm: 0.1455 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.8824 recall@top3: 0.8750 prec@top3: 0.7745 recall@top5: 0.9926 prec@top5: 0.5471 loss_action_cls: 0.0427 loss: 0.0427 2022/08/08 23:50:22 - mmengine - INFO - Epoch(train) [6][1120/2881] lr: 1.0000e-01 eta: 8:00:36 time: 0.6448 data_time: 0.0249 memory: 13802 grad_norm: 0.1463 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8070 recall@top3: 0.8860 prec@top3: 0.7368 recall@top5: 0.9868 prec@top5: 0.4947 loss_action_cls: 0.0449 loss: 0.0449 2022/08/08 23:50:34 - mmengine - INFO - Epoch(train) [6][1140/2881] lr: 1.0000e-01 eta: 8:00:18 time: 0.6062 data_time: 0.0210 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7619 recall@top3: 0.8373 prec@top3: 0.7460 recall@top5: 0.9206 prec@top5: 0.4952 loss_action_cls: 0.0447 loss: 0.0447 2022/08/08 23:50:46 - mmengine - INFO - Epoch(train) [6][1160/2881] lr: 1.0000e-01 eta: 8:00:02 time: 0.6289 data_time: 0.0221 memory: 13802 grad_norm: 0.1476 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8241 recall@top3: 0.8241 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0489 loss: 0.0489 2022/08/08 23:50:59 - mmengine - INFO - Epoch(train) [6][1180/2881] lr: 1.0000e-01 eta: 7:59:45 time: 0.6378 data_time: 0.0216 memory: 13802 grad_norm: 0.1457 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.9167 recall@top3: 0.8712 prec@top3: 0.7121 recall@top5: 0.9621 prec@top5: 0.4727 loss_action_cls: 0.0495 loss: 0.0495 2022/08/08 23:51:12 - mmengine - INFO - Epoch(train) [6][1200/2881] lr: 1.0000e-01 eta: 7:59:29 time: 0.6270 data_time: 0.0229 memory: 13802 grad_norm: 0.1511 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6765 recall@top3: 0.8627 prec@top3: 0.6078 recall@top5: 0.9216 prec@top5: 0.4000 loss_action_cls: 0.0456 loss: 0.0456 2022/08/08 23:51:24 - mmengine - INFO - Epoch(train) [6][1220/2881] lr: 1.0000e-01 eta: 7:59:11 time: 0.6163 data_time: 0.0237 memory: 13802 grad_norm: 0.1512 recall@thr=0.5: 0.7737 prec@thr=0.5: 0.8772 recall@top3: 0.7825 prec@top3: 0.7368 recall@top5: 0.9307 prec@top5: 0.5579 loss_action_cls: 0.0467 loss: 0.0467 2022/08/08 23:51:37 - mmengine - INFO - Epoch(train) [6][1240/2881] lr: 1.0000e-01 eta: 7:58:55 time: 0.6318 data_time: 0.0234 memory: 13802 grad_norm: 0.1430 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8500 recall@top3: 0.9750 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0494 loss: 0.0494 2022/08/08 23:51:49 - mmengine - INFO - Epoch(train) [6][1260/2881] lr: 1.0000e-01 eta: 7:58:38 time: 0.6268 data_time: 0.0203 memory: 13802 grad_norm: 0.1471 recall@thr=0.5: 0.6343 prec@thr=0.5: 0.6435 recall@top3: 0.7685 prec@top3: 0.5926 recall@top5: 0.9352 prec@top5: 0.4556 loss_action_cls: 0.0475 loss: 0.0475 2022/08/08 23:52:01 - mmengine - INFO - Epoch(train) [6][1280/2881] lr: 1.0000e-01 eta: 7:58:20 time: 0.6044 data_time: 0.0216 memory: 13802 grad_norm: 0.1377 recall@thr=0.5: 0.7560 prec@thr=0.5: 0.7113 recall@top3: 0.8292 prec@top3: 0.6548 recall@top5: 0.9190 prec@top5: 0.4500 loss_action_cls: 0.0446 loss: 0.0446 2022/08/08 23:52:14 - mmengine - INFO - Epoch(train) [6][1300/2881] lr: 1.0000e-01 eta: 7:58:03 time: 0.6320 data_time: 0.0229 memory: 13802 grad_norm: 0.1551 recall@thr=0.5: 0.6672 prec@thr=0.5: 0.8391 recall@top3: 0.6621 prec@top3: 0.7241 recall@top5: 0.8764 prec@top5: 0.6000 loss_action_cls: 0.0493 loss: 0.0493 2022/08/08 23:52:27 - mmengine - INFO - Epoch(train) [6][1320/2881] lr: 1.0000e-01 eta: 7:57:47 time: 0.6329 data_time: 0.0219 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7083 recall@top3: 0.8750 prec@top3: 0.7000 recall@top5: 0.9250 prec@top5: 0.4500 loss_action_cls: 0.0493 loss: 0.0493 2022/08/08 23:52:39 - mmengine - INFO - Epoch(train) [6][1340/2881] lr: 1.0000e-01 eta: 7:57:29 time: 0.6117 data_time: 0.0235 memory: 13802 grad_norm: 0.1440 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8889 recall@top3: 0.8287 prec@top3: 0.7407 recall@top5: 0.8565 prec@top5: 0.4556 loss_action_cls: 0.0453 loss: 0.0453 2022/08/08 23:52:52 - mmengine - INFO - Epoch(train) [6][1360/2881] lr: 1.0000e-01 eta: 7:57:13 time: 0.6358 data_time: 0.0213 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7628 recall@top3: 0.8365 prec@top3: 0.7308 recall@top5: 0.9679 prec@top5: 0.5231 loss_action_cls: 0.0421 loss: 0.0421 2022/08/08 23:53:04 - mmengine - INFO - Epoch(train) [6][1380/2881] lr: 1.0000e-01 eta: 7:56:56 time: 0.6133 data_time: 0.0222 memory: 13802 grad_norm: 0.1503 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.8333 recall@top3: 0.6852 prec@top3: 0.5370 recall@top5: 0.9074 prec@top5: 0.4000 loss_action_cls: 0.0406 loss: 0.0406 2022/08/08 23:53:17 - mmengine - INFO - Epoch(train) [6][1400/2881] lr: 1.0000e-01 eta: 7:56:40 time: 0.6363 data_time: 0.0285 memory: 13802 grad_norm: 0.1397 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7353 recall@top3: 0.8431 prec@top3: 0.5490 recall@top5: 0.9412 prec@top5: 0.3882 loss_action_cls: 0.0497 loss: 0.0497 2022/08/08 23:53:29 - mmengine - INFO - Epoch(train) [6][1420/2881] lr: 1.0000e-01 eta: 7:56:23 time: 0.6260 data_time: 0.0222 memory: 13802 grad_norm: 0.1436 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8116 recall@top3: 0.6935 prec@top3: 0.6522 recall@top5: 0.9261 prec@top5: 0.5391 loss_action_cls: 0.0484 loss: 0.0484 2022/08/08 23:53:42 - mmengine - INFO - Epoch(train) [6][1440/2881] lr: 1.0000e-01 eta: 7:56:07 time: 0.6486 data_time: 0.0225 memory: 13802 grad_norm: 0.1499 recall@thr=0.5: 0.6138 prec@thr=0.5: 0.6884 recall@top3: 0.7239 prec@top3: 0.6087 recall@top5: 0.9007 prec@top5: 0.4522 loss_action_cls: 0.0498 loss: 0.0498 2022/08/08 23:53:54 - mmengine - INFO - Epoch(train) [6][1460/2881] lr: 1.0000e-01 eta: 7:55:50 time: 0.6066 data_time: 0.0213 memory: 13802 grad_norm: 0.1413 recall@thr=0.5: 0.6780 prec@thr=0.5: 0.6970 recall@top3: 0.8636 prec@top3: 0.6364 recall@top5: 0.9735 prec@top5: 0.4545 loss_action_cls: 0.0494 loss: 0.0494 2022/08/08 23:54:07 - mmengine - INFO - Epoch(train) [6][1480/2881] lr: 1.0000e-01 eta: 7:55:33 time: 0.6255 data_time: 0.0235 memory: 13802 grad_norm: 0.1387 recall@thr=0.5: 0.6854 prec@thr=0.5: 0.8750 recall@top3: 0.7201 prec@top3: 0.6667 recall@top5: 0.9514 prec@top5: 0.5333 loss_action_cls: 0.0443 loss: 0.0443 2022/08/08 23:54:19 - mmengine - INFO - Epoch(train) [6][1500/2881] lr: 1.0000e-01 eta: 7:55:17 time: 0.6339 data_time: 0.0202 memory: 13802 grad_norm: 0.1394 recall@thr=0.5: 0.6561 prec@thr=0.5: 0.6667 recall@top3: 0.8123 prec@top3: 0.6140 recall@top5: 0.9105 prec@top5: 0.4316 loss_action_cls: 0.0528 loss: 0.0528 2022/08/08 23:54:32 - mmengine - INFO - Epoch(train) [6][1520/2881] lr: 1.0000e-01 eta: 7:55:00 time: 0.6270 data_time: 0.0227 memory: 13802 grad_norm: 0.1496 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7955 recall@top3: 0.9394 prec@top3: 0.6212 recall@top5: 0.9545 prec@top5: 0.3818 loss_action_cls: 0.0507 loss: 0.0507 2022/08/08 23:54:45 - mmengine - INFO - Epoch(train) [6][1540/2881] lr: 1.0000e-01 eta: 7:54:44 time: 0.6457 data_time: 0.0219 memory: 13802 grad_norm: 0.1473 recall@thr=0.5: 0.8150 prec@thr=0.5: 0.8750 recall@top3: 0.8175 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.5100 loss_action_cls: 0.0480 loss: 0.0480 2022/08/08 23:54:58 - mmengine - INFO - Epoch(train) [6][1560/2881] lr: 1.0000e-01 eta: 7:54:28 time: 0.6349 data_time: 0.0233 memory: 13802 grad_norm: 0.1412 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.6377 recall@top3: 0.7681 prec@top3: 0.5942 recall@top5: 0.9638 prec@top5: 0.4609 loss_action_cls: 0.0441 loss: 0.0441 2022/08/08 23:55:10 - mmengine - INFO - Epoch(train) [6][1580/2881] lr: 1.0000e-01 eta: 7:54:10 time: 0.6076 data_time: 0.0255 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.6944 recall@top3: 0.7986 prec@top3: 0.6250 recall@top5: 0.9792 prec@top5: 0.4667 loss_action_cls: 0.0455 loss: 0.0455 2022/08/08 23:55:19 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/08 23:55:22 - mmengine - INFO - Epoch(train) [6][1600/2881] lr: 1.0000e-01 eta: 7:53:54 time: 0.6377 data_time: 0.0212 memory: 13802 grad_norm: 0.1342 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.6742 recall@top3: 0.7879 prec@top3: 0.5909 recall@top5: 0.8788 prec@top5: 0.4091 loss_action_cls: 0.0444 loss: 0.0444 2022/08/08 23:55:35 - mmengine - INFO - Epoch(train) [6][1620/2881] lr: 1.0000e-01 eta: 7:53:39 time: 0.6502 data_time: 0.0214 memory: 13802 grad_norm: 0.1473 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.6167 recall@top5: 0.9000 prec@top5: 0.4200 loss_action_cls: 0.0425 loss: 0.0425 2022/08/08 23:55:48 - mmengine - INFO - Epoch(train) [6][1640/2881] lr: 1.0000e-01 eta: 7:53:22 time: 0.6179 data_time: 0.0263 memory: 13802 grad_norm: 0.1483 recall@thr=0.5: 0.6710 prec@thr=0.5: 0.8080 recall@top3: 0.7696 prec@top3: 0.6957 recall@top5: 0.8594 prec@top5: 0.4870 loss_action_cls: 0.0415 loss: 0.0415 2022/08/08 23:56:00 - mmengine - INFO - Epoch(train) [6][1660/2881] lr: 1.0000e-01 eta: 7:53:05 time: 0.6278 data_time: 0.0257 memory: 13802 grad_norm: 0.1465 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.7174 recall@top3: 0.7826 prec@top3: 0.6377 recall@top5: 0.8913 prec@top5: 0.4435 loss_action_cls: 0.0508 loss: 0.0508 2022/08/08 23:56:13 - mmengine - INFO - Epoch(train) [6][1680/2881] lr: 1.0000e-01 eta: 7:52:48 time: 0.6136 data_time: 0.0202 memory: 13802 grad_norm: 0.1410 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7014 recall@top3: 0.6493 prec@top3: 0.5972 recall@top5: 0.8854 prec@top5: 0.4917 loss_action_cls: 0.0434 loss: 0.0434 2022/08/08 23:56:25 - mmengine - INFO - Epoch(train) [6][1700/2881] lr: 1.0000e-01 eta: 7:52:32 time: 0.6286 data_time: 0.0213 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.7654 prec@thr=0.5: 0.8265 recall@top3: 0.7994 prec@top3: 0.4444 recall@top5: 0.8395 prec@top5: 0.2889 loss_action_cls: 0.0501 loss: 0.0501 2022/08/08 23:56:38 - mmengine - INFO - Epoch(train) [6][1720/2881] lr: 1.0000e-01 eta: 7:52:17 time: 0.6541 data_time: 0.0223 memory: 13802 grad_norm: 0.1445 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.5942 recall@top3: 0.7029 prec@top3: 0.5507 recall@top5: 0.8623 prec@top5: 0.4174 loss_action_cls: 0.0469 loss: 0.0469 2022/08/08 23:56:50 - mmengine - INFO - Epoch(train) [6][1740/2881] lr: 1.0000e-01 eta: 7:51:59 time: 0.6058 data_time: 0.0215 memory: 13802 grad_norm: 0.1402 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.6984 recall@top3: 0.6984 prec@top3: 0.6190 recall@top5: 0.9048 prec@top5: 0.4667 loss_action_cls: 0.0429 loss: 0.0429 2022/08/08 23:57:03 - mmengine - INFO - Epoch(train) [6][1760/2881] lr: 1.0000e-01 eta: 7:51:43 time: 0.6392 data_time: 0.0239 memory: 13802 grad_norm: 0.1472 recall@thr=0.5: 0.7043 prec@thr=0.5: 0.8696 recall@top3: 0.8203 prec@top3: 0.6377 recall@top5: 0.9246 prec@top5: 0.4522 loss_action_cls: 0.0431 loss: 0.0431 2022/08/08 23:57:16 - mmengine - INFO - Epoch(train) [6][1780/2881] lr: 1.0000e-01 eta: 7:51:27 time: 0.6407 data_time: 0.0212 memory: 13802 grad_norm: 0.1437 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7315 recall@top3: 0.8426 prec@top3: 0.5000 recall@top5: 0.9444 prec@top5: 0.3444 loss_action_cls: 0.0438 loss: 0.0438 2022/08/08 23:57:29 - mmengine - INFO - Epoch(train) [6][1800/2881] lr: 1.0000e-01 eta: 7:51:11 time: 0.6318 data_time: 0.0210 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8611 recall@top3: 0.8657 prec@top3: 0.6852 recall@top5: 0.9352 prec@top5: 0.4556 loss_action_cls: 0.0452 loss: 0.0452 2022/08/08 23:57:41 - mmengine - INFO - Epoch(train) [6][1820/2881] lr: 1.0000e-01 eta: 7:50:54 time: 0.6168 data_time: 0.0219 memory: 13802 grad_norm: 0.1383 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.8667 recall@top3: 0.9125 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5300 loss_action_cls: 0.0444 loss: 0.0444 2022/08/08 23:57:54 - mmengine - INFO - Epoch(train) [6][1840/2881] lr: 1.0000e-01 eta: 7:50:38 time: 0.6293 data_time: 0.0213 memory: 13802 grad_norm: 0.1447 recall@thr=0.5: 0.5352 prec@thr=0.5: 0.7130 recall@top3: 0.6907 prec@top3: 0.6111 recall@top5: 0.9519 prec@top5: 0.5000 loss_action_cls: 0.0447 loss: 0.0447 2022/08/08 23:58:06 - mmengine - INFO - Epoch(train) [6][1860/2881] lr: 1.0000e-01 eta: 7:50:22 time: 0.6416 data_time: 0.0210 memory: 13802 grad_norm: 0.1526 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8143 recall@top3: 0.8405 prec@top3: 0.7048 recall@top5: 0.9429 prec@top5: 0.4914 loss_action_cls: 0.0436 loss: 0.0436 2022/08/08 23:58:19 - mmengine - INFO - Epoch(train) [6][1880/2881] lr: 1.0000e-01 eta: 7:50:05 time: 0.6102 data_time: 0.0202 memory: 13802 grad_norm: 0.1426 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.8472 recall@top3: 0.8264 prec@top3: 0.6806 recall@top5: 1.0000 prec@top5: 0.5083 loss_action_cls: 0.0489 loss: 0.0489 2022/08/08 23:58:31 - mmengine - INFO - Epoch(train) [6][1900/2881] lr: 1.0000e-01 eta: 7:49:48 time: 0.6255 data_time: 0.0205 memory: 13802 grad_norm: 0.1425 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7222 recall@top3: 0.7292 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4750 loss_action_cls: 0.0420 loss: 0.0420 2022/08/08 23:58:43 - mmengine - INFO - Epoch(train) [6][1920/2881] lr: 1.0000e-01 eta: 7:49:31 time: 0.6111 data_time: 0.0259 memory: 13802 grad_norm: 0.1413 recall@thr=0.5: 0.3684 prec@thr=0.5: 0.6316 recall@top3: 0.6667 prec@top3: 0.5088 recall@top5: 0.8772 prec@top5: 0.4000 loss_action_cls: 0.0457 loss: 0.0457 2022/08/08 23:58:56 - mmengine - INFO - Epoch(train) [6][1940/2881] lr: 1.0000e-01 eta: 7:49:15 time: 0.6303 data_time: 0.0237 memory: 13802 grad_norm: 0.1395 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8016 recall@top3: 0.8413 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.3524 loss_action_cls: 0.0420 loss: 0.0420 2022/08/08 23:59:09 - mmengine - INFO - Epoch(train) [6][1960/2881] lr: 1.0000e-01 eta: 7:48:59 time: 0.6436 data_time: 0.0222 memory: 13802 grad_norm: 0.1353 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7941 recall@top3: 0.8922 prec@top3: 0.6078 recall@top5: 0.9510 prec@top5: 0.4000 loss_action_cls: 0.0439 loss: 0.0439 2022/08/08 23:59:21 - mmengine - INFO - Epoch(train) [6][1980/2881] lr: 1.0000e-01 eta: 7:48:43 time: 0.6290 data_time: 0.0210 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.6349 recall@top3: 0.7857 prec@top3: 0.6984 recall@top5: 0.8968 prec@top5: 0.4857 loss_action_cls: 0.0450 loss: 0.0450 2022/08/08 23:59:34 - mmengine - INFO - Epoch(train) [6][2000/2881] lr: 1.0000e-01 eta: 7:48:25 time: 0.6066 data_time: 0.0217 memory: 13802 grad_norm: 0.1483 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7708 recall@top3: 0.7708 prec@top3: 0.7500 recall@top5: 0.8750 prec@top5: 0.5125 loss_action_cls: 0.0495 loss: 0.0495 2022/08/08 23:59:46 - mmengine - INFO - Epoch(train) [6][2020/2881] lr: 1.0000e-01 eta: 7:48:09 time: 0.6337 data_time: 0.0207 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7130 recall@top3: 0.6944 prec@top3: 0.5741 recall@top5: 0.8611 prec@top5: 0.4222 loss_action_cls: 0.0407 loss: 0.0407 2022/08/08 23:59:59 - mmengine - INFO - Epoch(train) [6][2040/2881] lr: 1.0000e-01 eta: 7:47:53 time: 0.6410 data_time: 0.0246 memory: 13802 grad_norm: 0.1490 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7244 recall@top3: 0.8205 prec@top3: 0.6667 recall@top5: 0.8590 prec@top5: 0.4154 loss_action_cls: 0.0469 loss: 0.0469 2022/08/09 00:00:16 - mmengine - INFO - Epoch(train) [6][2060/2881] lr: 1.0000e-01 eta: 7:47:48 time: 0.8418 data_time: 0.0225 memory: 13802 grad_norm: 0.1419 recall@thr=0.5: 0.6058 prec@thr=0.5: 0.8846 recall@top3: 0.8365 prec@top3: 0.7308 recall@top5: 0.9583 prec@top5: 0.5154 loss_action_cls: 0.0476 loss: 0.0476 2022/08/09 00:00:29 - mmengine - INFO - Epoch(train) [6][2080/2881] lr: 1.0000e-01 eta: 7:47:33 time: 0.6544 data_time: 0.0245 memory: 13802 grad_norm: 0.1454 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8968 recall@top3: 0.7619 prec@top3: 0.6984 recall@top5: 0.8905 prec@top5: 0.5143 loss_action_cls: 0.0444 loss: 0.0444 2022/08/09 00:00:41 - mmengine - INFO - Epoch(train) [6][2100/2881] lr: 1.0000e-01 eta: 7:47:15 time: 0.6044 data_time: 0.0222 memory: 13802 grad_norm: 0.1574 recall@thr=0.5: 0.8864 prec@thr=0.5: 0.9432 recall@top3: 0.8712 prec@top3: 0.5455 recall@top5: 0.9545 prec@top5: 0.3818 loss_action_cls: 0.0484 loss: 0.0484 2022/08/09 00:00:53 - mmengine - INFO - Epoch(train) [6][2120/2881] lr: 1.0000e-01 eta: 7:46:58 time: 0.6128 data_time: 0.0225 memory: 13802 grad_norm: 0.1502 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.6923 recall@top3: 0.7019 prec@top3: 0.5256 recall@top5: 0.8333 prec@top5: 0.4077 loss_action_cls: 0.0438 loss: 0.0438 2022/08/09 00:01:06 - mmengine - INFO - Epoch(train) [6][2140/2881] lr: 1.0000e-01 eta: 7:46:41 time: 0.6115 data_time: 0.0233 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.7533 recall@top3: 0.7733 prec@top3: 0.6667 recall@top5: 0.9033 prec@top5: 0.4720 loss_action_cls: 0.0453 loss: 0.0453 2022/08/09 00:01:18 - mmengine - INFO - Epoch(train) [6][2160/2881] lr: 1.0000e-01 eta: 7:46:25 time: 0.6312 data_time: 0.0234 memory: 13802 grad_norm: 0.1479 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.6508 recall@top3: 0.7817 prec@top3: 0.6190 recall@top5: 0.9603 prec@top5: 0.4762 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 00:01:31 - mmengine - INFO - Epoch(train) [6][2180/2881] lr: 1.0000e-01 eta: 7:46:10 time: 0.6481 data_time: 0.0277 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7333 recall@top3: 0.8778 prec@top3: 0.6444 recall@top5: 0.9111 prec@top5: 0.4000 loss_action_cls: 0.0437 loss: 0.0437 2022/08/09 00:01:44 - mmengine - INFO - Epoch(train) [6][2200/2881] lr: 1.0000e-01 eta: 7:45:54 time: 0.6363 data_time: 0.0201 memory: 13802 grad_norm: 0.1384 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.9118 recall@top3: 0.7225 prec@top3: 0.6667 recall@top5: 0.8196 prec@top5: 0.4706 loss_action_cls: 0.0441 loss: 0.0441 2022/08/09 00:01:57 - mmengine - INFO - Epoch(train) [6][2220/2881] lr: 1.0000e-01 eta: 7:45:38 time: 0.6317 data_time: 0.0213 memory: 13802 grad_norm: 0.1516 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6389 recall@top3: 0.6991 prec@top3: 0.3889 recall@top5: 0.8009 prec@top5: 0.2889 loss_action_cls: 0.0460 loss: 0.0460 2022/08/09 00:02:09 - mmengine - INFO - Epoch(train) [6][2240/2881] lr: 1.0000e-01 eta: 7:45:22 time: 0.6324 data_time: 0.0231 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7812 recall@top3: 0.9062 prec@top3: 0.5625 recall@top5: 0.9688 prec@top5: 0.3625 loss_action_cls: 0.0492 loss: 0.0492 2022/08/09 00:02:21 - mmengine - INFO - Epoch(train) [6][2260/2881] lr: 1.0000e-01 eta: 7:45:04 time: 0.6088 data_time: 0.0279 memory: 13802 grad_norm: 0.1371 recall@thr=0.5: 0.5130 prec@thr=0.5: 0.7135 recall@top3: 0.6641 prec@top3: 0.6042 recall@top5: 0.7995 prec@top5: 0.4437 loss_action_cls: 0.0491 loss: 0.0491 2022/08/09 00:02:34 - mmengine - INFO - Epoch(train) [6][2280/2881] lr: 1.0000e-01 eta: 7:44:48 time: 0.6271 data_time: 0.0221 memory: 13802 grad_norm: 0.1434 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6429 recall@top3: 0.7778 prec@top3: 0.6825 recall@top5: 0.9405 prec@top5: 0.5143 loss_action_cls: 0.0484 loss: 0.0484 2022/08/09 00:02:46 - mmengine - INFO - Epoch(train) [6][2300/2881] lr: 1.0000e-01 eta: 7:44:31 time: 0.6149 data_time: 0.0212 memory: 13802 grad_norm: 0.1464 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.7333 recall@top3: 0.7750 prec@top3: 0.6833 recall@top5: 0.9417 prec@top5: 0.5000 loss_action_cls: 0.0463 loss: 0.0463 2022/08/09 00:02:59 - mmengine - INFO - Epoch(train) [6][2320/2881] lr: 1.0000e-01 eta: 7:44:15 time: 0.6253 data_time: 0.0224 memory: 13802 grad_norm: 0.1452 recall@thr=0.5: 0.8196 prec@thr=0.5: 0.7941 recall@top3: 0.7961 prec@top3: 0.5490 recall@top5: 0.9804 prec@top5: 0.4235 loss_action_cls: 0.0484 loss: 0.0484 2022/08/09 00:03:11 - mmengine - INFO - Epoch(train) [6][2340/2881] lr: 1.0000e-01 eta: 7:43:59 time: 0.6304 data_time: 0.0218 memory: 13802 grad_norm: 0.1490 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9259 recall@top3: 0.9630 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0472 loss: 0.0472 2022/08/09 00:03:24 - mmengine - INFO - Epoch(train) [6][2360/2881] lr: 1.0000e-01 eta: 7:43:43 time: 0.6346 data_time: 0.0217 memory: 13802 grad_norm: 0.1513 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.6842 recall@top3: 0.7632 prec@top3: 0.5088 recall@top5: 0.8860 prec@top5: 0.3579 loss_action_cls: 0.0492 loss: 0.0492 2022/08/09 00:03:37 - mmengine - INFO - Epoch(train) [6][2380/2881] lr: 1.0000e-01 eta: 7:43:27 time: 0.6356 data_time: 0.0210 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.5399 prec@thr=0.5: 0.7174 recall@top3: 0.7645 prec@top3: 0.6667 recall@top5: 0.8623 prec@top5: 0.4696 loss_action_cls: 0.0455 loss: 0.0455 2022/08/09 00:03:49 - mmengine - INFO - Epoch(train) [6][2400/2881] lr: 1.0000e-01 eta: 7:43:11 time: 0.6363 data_time: 0.0236 memory: 13802 grad_norm: 0.1359 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7451 recall@top3: 0.7255 prec@top3: 0.6275 recall@top5: 0.8137 prec@top5: 0.4235 loss_action_cls: 0.0468 loss: 0.0468 2022/08/09 00:04:02 - mmengine - INFO - Epoch(train) [6][2420/2881] lr: 1.0000e-01 eta: 7:42:56 time: 0.6433 data_time: 0.0221 memory: 13802 grad_norm: 0.1458 recall@thr=0.5: 0.7871 prec@thr=0.5: 0.9892 recall@top3: 0.8699 prec@top3: 0.6559 recall@top5: 0.9613 prec@top5: 0.4581 loss_action_cls: 0.0449 loss: 0.0449 2022/08/09 00:04:15 - mmengine - INFO - Epoch(train) [6][2440/2881] lr: 1.0000e-01 eta: 7:42:40 time: 0.6400 data_time: 0.0273 memory: 13802 grad_norm: 0.1458 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7937 recall@top3: 0.8095 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0434 loss: 0.0434 2022/08/09 00:04:28 - mmengine - INFO - Epoch(train) [6][2460/2881] lr: 1.0000e-01 eta: 7:42:25 time: 0.6373 data_time: 0.0212 memory: 13802 grad_norm: 0.1419 recall@thr=0.5: 0.6518 prec@thr=0.5: 0.6786 recall@top3: 0.7262 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0492 loss: 0.0492 2022/08/09 00:04:41 - mmengine - INFO - Epoch(train) [6][2480/2881] lr: 1.0000e-01 eta: 7:42:10 time: 0.6521 data_time: 0.0231 memory: 13802 grad_norm: 0.1541 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.8431 recall@top3: 0.9265 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 00:04:54 - mmengine - INFO - Epoch(train) [6][2500/2881] lr: 1.0000e-01 eta: 7:41:53 time: 0.6290 data_time: 0.0222 memory: 13802 grad_norm: 0.1535 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7321 recall@top3: 0.8363 prec@top3: 0.7500 recall@top5: 0.8780 prec@top5: 0.4786 loss_action_cls: 0.0486 loss: 0.0486 2022/08/09 00:05:06 - mmengine - INFO - Epoch(train) [6][2520/2881] lr: 1.0000e-01 eta: 7:41:38 time: 0.6390 data_time: 0.0231 memory: 13802 grad_norm: 0.1418 recall@thr=0.5: 0.8545 prec@thr=0.5: 0.7923 recall@top3: 0.8506 prec@top3: 0.6795 recall@top5: 0.9904 prec@top5: 0.4923 loss_action_cls: 0.0441 loss: 0.0441 2022/08/09 00:05:19 - mmengine - INFO - Epoch(train) [6][2540/2881] lr: 1.0000e-01 eta: 7:41:22 time: 0.6336 data_time: 0.0227 memory: 13802 grad_norm: 0.1514 recall@thr=0.5: 0.7123 prec@thr=0.5: 0.8519 recall@top3: 0.7710 prec@top3: 0.7778 recall@top5: 0.9123 prec@top5: 0.5704 loss_action_cls: 0.0434 loss: 0.0434 2022/08/09 00:05:32 - mmengine - INFO - Epoch(train) [6][2560/2881] lr: 1.0000e-01 eta: 7:41:06 time: 0.6292 data_time: 0.0238 memory: 13802 grad_norm: 0.1419 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8437 recall@top3: 0.9583 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0497 loss: 0.0497 2022/08/09 00:05:44 - mmengine - INFO - Epoch(train) [6][2580/2881] lr: 1.0000e-01 eta: 7:40:50 time: 0.6356 data_time: 0.0275 memory: 13802 grad_norm: 0.1462 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7361 recall@top3: 0.7535 prec@top3: 0.5694 recall@top5: 0.9306 prec@top5: 0.4250 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:05:54 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 00:05:57 - mmengine - INFO - Epoch(train) [6][2600/2881] lr: 1.0000e-01 eta: 7:40:34 time: 0.6332 data_time: 0.0230 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.5147 prec@thr=0.5: 0.7255 recall@top3: 0.7402 prec@top3: 0.6275 recall@top5: 0.7402 prec@top5: 0.3765 loss_action_cls: 0.0462 loss: 0.0462 2022/08/09 00:06:10 - mmengine - INFO - Epoch(train) [6][2620/2881] lr: 1.0000e-01 eta: 7:40:18 time: 0.6308 data_time: 0.0219 memory: 13802 grad_norm: 0.1439 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.7424 recall@top3: 0.8359 prec@top3: 0.6869 recall@top5: 0.9899 prec@top5: 0.4788 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 00:06:22 - mmengine - INFO - Epoch(train) [6][2640/2881] lr: 1.0000e-01 eta: 7:40:02 time: 0.6267 data_time: 0.0222 memory: 13802 grad_norm: 0.1420 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.7963 recall@top3: 0.9167 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0438 loss: 0.0438 2022/08/09 00:06:35 - mmengine - INFO - Epoch(train) [6][2660/2881] lr: 1.0000e-01 eta: 7:39:46 time: 0.6299 data_time: 0.0214 memory: 13802 grad_norm: 0.1502 recall@thr=0.5: 0.7462 prec@thr=0.5: 0.7576 recall@top3: 0.8523 prec@top3: 0.6970 recall@top5: 0.9697 prec@top5: 0.4818 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 00:06:48 - mmengine - INFO - Epoch(train) [6][2680/2881] lr: 1.0000e-01 eta: 7:39:31 time: 0.6484 data_time: 0.0216 memory: 13802 grad_norm: 0.1459 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.8182 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.5091 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 00:07:00 - mmengine - INFO - Epoch(train) [6][2700/2881] lr: 1.0000e-01 eta: 7:39:14 time: 0.6107 data_time: 0.0273 memory: 13802 grad_norm: 0.1444 recall@thr=0.5: 0.7048 prec@thr=0.5: 0.8441 recall@top3: 0.7909 prec@top3: 0.7957 recall@top5: 0.9409 prec@top5: 0.5806 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 00:07:12 - mmengine - INFO - Epoch(train) [6][2720/2881] lr: 1.0000e-01 eta: 7:38:58 time: 0.6277 data_time: 0.0209 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.7851 recall@top3: 0.7500 prec@top3: 0.5965 recall@top5: 0.9123 prec@top5: 0.4526 loss_action_cls: 0.0475 loss: 0.0475 2022/08/09 00:07:25 - mmengine - INFO - Epoch(train) [6][2740/2881] lr: 1.0000e-01 eta: 7:38:41 time: 0.6159 data_time: 0.0229 memory: 13802 grad_norm: 0.1425 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8083 recall@top3: 0.8625 prec@top3: 0.6500 recall@top5: 0.9708 prec@top5: 0.4500 loss_action_cls: 0.0447 loss: 0.0447 2022/08/09 00:07:37 - mmengine - INFO - Epoch(train) [6][2760/2881] lr: 1.0000e-01 eta: 7:38:26 time: 0.6328 data_time: 0.0210 memory: 13802 grad_norm: 0.1458 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.8788 recall@top3: 0.9242 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0460 loss: 0.0460 2022/08/09 00:07:50 - mmengine - INFO - Epoch(train) [6][2780/2881] lr: 1.0000e-01 eta: 7:38:10 time: 0.6285 data_time: 0.0216 memory: 13802 grad_norm: 0.1454 recall@thr=0.5: 0.8052 prec@thr=0.5: 0.7989 recall@top3: 0.8741 prec@top3: 0.6897 recall@top5: 1.0000 prec@top5: 0.4759 loss_action_cls: 0.0458 loss: 0.0458 2022/08/09 00:08:03 - mmengine - INFO - Epoch(train) [6][2800/2881] lr: 1.0000e-01 eta: 7:37:54 time: 0.6438 data_time: 0.0226 memory: 13802 grad_norm: 0.1479 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.5833 recall@top3: 0.6310 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.4381 loss_action_cls: 0.0475 loss: 0.0475 2022/08/09 00:08:15 - mmengine - INFO - Epoch(train) [6][2820/2881] lr: 1.0000e-01 eta: 7:37:37 time: 0.6071 data_time: 0.0213 memory: 13802 grad_norm: 0.1469 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.8986 prec@top5: 0.4348 loss_action_cls: 0.0448 loss: 0.0448 2022/08/09 00:08:28 - mmengine - INFO - Epoch(train) [6][2840/2881] lr: 1.0000e-01 eta: 7:37:21 time: 0.6293 data_time: 0.0212 memory: 13802 grad_norm: 0.1520 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.9383 recall@top3: 0.8148 prec@top3: 0.7531 recall@top5: 0.8981 prec@top5: 0.5111 loss_action_cls: 0.0432 loss: 0.0432 2022/08/09 00:08:40 - mmengine - INFO - Epoch(train) [6][2860/2881] lr: 1.0000e-01 eta: 7:37:06 time: 0.6447 data_time: 0.0245 memory: 13802 grad_norm: 0.1406 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7994 recall@top3: 0.8075 prec@top3: 0.7356 recall@top5: 0.9379 prec@top5: 0.5379 loss_action_cls: 0.0492 loss: 0.0492 2022/08/09 00:08:52 - mmengine - INFO - Epoch(train) [6][2880/2881] lr: 1.0000e-01 eta: 7:36:49 time: 0.5973 data_time: 0.0223 memory: 13802 grad_norm: 0.1404 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.7917 recall@top3: 0.8720 prec@top3: 0.7262 recall@top5: 0.9911 prec@top5: 0.5071 loss_action_cls: 0.0424 loss: 0.0424 2022/08/09 00:08:53 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 00:08:53 - mmengine - INFO - Epoch(train) [6][2881/2881] lr: 1.0000e-01 eta: 7:36:49 time: 0.6005 data_time: 0.0260 memory: 13802 grad_norm: 0.1410 recall@thr=0.5: 0.7671 prec@thr=0.5: 0.8048 recall@top3: 0.7957 prec@top3: 0.7524 recall@top5: 0.9252 prec@top5: 0.5257 loss_action_cls: 0.0433 loss: 0.0433 2022/08/09 00:08:53 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/09 00:09:00 - mmengine - INFO - Epoch(val) [6][20/6282] eta: 0:06:56 time: 0.0665 data_time: 0.0181 memory: 721 2022/08/09 00:09:01 - mmengine - INFO - Epoch(val) [6][40/6282] eta: 0:05:02 time: 0.0484 data_time: 0.0049 memory: 721 2022/08/09 00:09:02 - mmengine - INFO - Epoch(val) [6][60/6282] eta: 0:05:39 time: 0.0546 data_time: 0.0110 memory: 721 2022/08/09 00:09:03 - mmengine - INFO - Epoch(val) [6][80/6282] eta: 0:04:28 time: 0.0433 data_time: 0.0033 memory: 721 2022/08/09 00:09:04 - mmengine - INFO - Epoch(val) [6][100/6282] eta: 0:04:30 time: 0.0438 data_time: 0.0032 memory: 721 2022/08/09 00:09:05 - mmengine - INFO - Epoch(val) [6][120/6282] eta: 0:05:47 time: 0.0563 data_time: 0.0050 memory: 806 2022/08/09 00:09:07 - mmengine - INFO - Epoch(val) [6][140/6282] eta: 0:08:38 time: 0.0845 data_time: 0.0041 memory: 806 2022/08/09 00:09:08 - mmengine - INFO - Epoch(val) [6][160/6282] eta: 0:06:40 time: 0.0655 data_time: 0.0048 memory: 806 2022/08/09 00:09:09 - mmengine - INFO - Epoch(val) [6][180/6282] eta: 0:07:01 time: 0.0690 data_time: 0.0056 memory: 806 2022/08/09 00:09:11 - mmengine - INFO - Epoch(val) [6][200/6282] eta: 0:06:44 time: 0.0666 data_time: 0.0047 memory: 806 2022/08/09 00:09:12 - mmengine - INFO - Epoch(val) [6][220/6282] eta: 0:06:13 time: 0.0616 data_time: 0.0060 memory: 736 2022/08/09 00:09:13 - mmengine - INFO - Epoch(val) [6][240/6282] eta: 0:05:41 time: 0.0565 data_time: 0.0051 memory: 736 2022/08/09 00:09:14 - mmengine - INFO - Epoch(val) [6][260/6282] eta: 0:05:20 time: 0.0533 data_time: 0.0034 memory: 736 2022/08/09 00:09:15 - mmengine - INFO - Epoch(val) [6][280/6282] eta: 0:05:20 time: 0.0533 data_time: 0.0036 memory: 736 2022/08/09 00:09:16 - mmengine - INFO - Epoch(val) [6][300/6282] eta: 0:05:55 time: 0.0594 data_time: 0.0046 memory: 806 2022/08/09 00:09:18 - mmengine - INFO - Epoch(val) [6][320/6282] eta: 0:08:17 time: 0.0834 data_time: 0.0239 memory: 806 2022/08/09 00:09:20 - mmengine - INFO - Epoch(val) [6][340/6282] eta: 0:07:48 time: 0.0788 data_time: 0.0205 memory: 806 2022/08/09 00:09:21 - mmengine - INFO - Epoch(val) [6][360/6282] eta: 0:06:21 time: 0.0644 data_time: 0.0098 memory: 806 2022/08/09 00:09:22 - mmengine - INFO - Epoch(val) [6][380/6282] eta: 0:06:29 time: 0.0660 data_time: 0.0112 memory: 806 2022/08/09 00:09:23 - mmengine - INFO - Epoch(val) [6][400/6282] eta: 0:05:09 time: 0.0526 data_time: 0.0032 memory: 806 2022/08/09 00:09:24 - mmengine - INFO - Epoch(val) [6][420/6282] eta: 0:04:25 time: 0.0452 data_time: 0.0029 memory: 741 2022/08/09 00:09:25 - mmengine - INFO - Epoch(val) [6][440/6282] eta: 0:06:44 time: 0.0692 data_time: 0.0259 memory: 741 2022/08/09 00:09:28 - mmengine - INFO - Epoch(val) [6][460/6282] eta: 0:11:41 time: 0.1205 data_time: 0.0457 memory: 741 2022/08/09 00:09:29 - mmengine - INFO - Epoch(val) [6][480/6282] eta: 0:05:05 time: 0.0526 data_time: 0.0060 memory: 741 2022/08/09 00:09:30 - mmengine - INFO - Epoch(val) [6][500/6282] eta: 0:05:44 time: 0.0595 data_time: 0.0125 memory: 741 2022/08/09 00:09:31 - mmengine - INFO - Epoch(val) [6][520/6282] eta: 0:04:36 time: 0.0479 data_time: 0.0041 memory: 736 2022/08/09 00:09:32 - mmengine - INFO - Epoch(val) [6][540/6282] eta: 0:05:11 time: 0.0543 data_time: 0.0044 memory: 736 2022/08/09 00:09:33 - mmengine - INFO - Epoch(val) [6][560/6282] eta: 0:04:54 time: 0.0514 data_time: 0.0036 memory: 736 2022/08/09 00:09:34 - mmengine - INFO - Epoch(val) [6][580/6282] eta: 0:05:06 time: 0.0538 data_time: 0.0084 memory: 736 2022/08/09 00:09:36 - mmengine - INFO - Epoch(val) [6][600/6282] eta: 0:06:31 time: 0.0689 data_time: 0.0218 memory: 736 2022/08/09 00:09:37 - mmengine - INFO - Epoch(val) [6][620/6282] eta: 0:06:00 time: 0.0636 data_time: 0.0226 memory: 736 2022/08/09 00:09:38 - mmengine - INFO - Epoch(val) [6][640/6282] eta: 0:07:04 time: 0.0752 data_time: 0.0310 memory: 733 2022/08/09 00:09:39 - mmengine - INFO - Epoch(val) [6][660/6282] eta: 0:04:18 time: 0.0460 data_time: 0.0033 memory: 733 2022/08/09 00:09:40 - mmengine - INFO - Epoch(val) [6][680/6282] eta: 0:04:27 time: 0.0478 data_time: 0.0033 memory: 733 2022/08/09 00:09:41 - mmengine - INFO - Epoch(val) [6][700/6282] eta: 0:04:22 time: 0.0470 data_time: 0.0036 memory: 733 2022/08/09 00:09:44 - mmengine - INFO - Epoch(val) [6][720/6282] eta: 0:13:03 time: 0.1409 data_time: 0.0865 memory: 806 2022/08/09 00:09:48 - mmengine - INFO - Epoch(val) [6][740/6282] eta: 0:17:09 time: 0.1857 data_time: 0.1294 memory: 806 2022/08/09 00:09:51 - mmengine - INFO - Epoch(val) [6][760/6282] eta: 0:14:54 time: 0.1620 data_time: 0.1056 memory: 806 2022/08/09 00:09:55 - mmengine - INFO - Epoch(val) [6][780/6282] eta: 0:15:54 time: 0.1734 data_time: 0.1187 memory: 806 2022/08/09 00:09:58 - mmengine - INFO - Epoch(val) [6][800/6282] eta: 0:14:28 time: 0.1585 data_time: 0.1017 memory: 806 2022/08/09 00:09:59 - mmengine - INFO - Epoch(val) [6][820/6282] eta: 0:07:13 time: 0.0794 data_time: 0.0286 memory: 806 2022/08/09 00:10:01 - mmengine - INFO - Epoch(val) [6][840/6282] eta: 0:06:32 time: 0.0721 data_time: 0.0262 memory: 736 2022/08/09 00:10:03 - mmengine - INFO - Epoch(val) [6][860/6282] eta: 0:08:13 time: 0.0911 data_time: 0.0038 memory: 736 2022/08/09 00:10:04 - mmengine - INFO - Epoch(val) [6][880/6282] eta: 0:04:31 time: 0.0503 data_time: 0.0040 memory: 736 2022/08/09 00:10:05 - mmengine - INFO - Epoch(val) [6][900/6282] eta: 0:04:22 time: 0.0488 data_time: 0.0038 memory: 736 2022/08/09 00:10:06 - mmengine - INFO - Epoch(val) [6][920/6282] eta: 0:04:44 time: 0.0531 data_time: 0.0046 memory: 736 2022/08/09 00:10:07 - mmengine - INFO - Epoch(val) [6][940/6282] eta: 0:05:06 time: 0.0574 data_time: 0.0124 memory: 721 2022/08/09 00:10:08 - mmengine - INFO - Epoch(val) [6][960/6282] eta: 0:04:13 time: 0.0477 data_time: 0.0034 memory: 721 2022/08/09 00:10:09 - mmengine - INFO - Epoch(val) [6][980/6282] eta: 0:04:15 time: 0.0482 data_time: 0.0040 memory: 721 2022/08/09 00:10:11 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:07:45 time: 0.0881 data_time: 0.0439 memory: 721 2022/08/09 00:10:12 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:04:30 time: 0.0513 data_time: 0.0064 memory: 736 2022/08/09 00:10:13 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:04:18 time: 0.0494 data_time: 0.0030 memory: 736 2022/08/09 00:10:14 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:04:19 time: 0.0497 data_time: 0.0080 memory: 736 2022/08/09 00:10:15 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:04:27 time: 0.0515 data_time: 0.0046 memory: 736 2022/08/09 00:10:16 - mmengine - INFO - Epoch(val) [6][1100/6282] eta: 0:06:55 time: 0.0801 data_time: 0.0060 memory: 736 2022/08/09 00:10:17 - mmengine - INFO - Epoch(val) [6][1120/6282] eta: 0:04:52 time: 0.0568 data_time: 0.0048 memory: 736 2022/08/09 00:10:19 - mmengine - INFO - Epoch(val) [6][1140/6282] eta: 0:05:08 time: 0.0601 data_time: 0.0147 memory: 736 2022/08/09 00:10:20 - mmengine - INFO - Epoch(val) [6][1160/6282] eta: 0:07:55 time: 0.0928 data_time: 0.0495 memory: 736 2022/08/09 00:10:21 - mmengine - INFO - Epoch(val) [6][1180/6282] eta: 0:03:51 time: 0.0454 data_time: 0.0031 memory: 736 2022/08/09 00:10:22 - mmengine - INFO - Epoch(val) [6][1200/6282] eta: 0:04:06 time: 0.0485 data_time: 0.0037 memory: 736 2022/08/09 00:10:24 - mmengine - INFO - Epoch(val) [6][1220/6282] eta: 0:05:25 time: 0.0643 data_time: 0.0211 memory: 736 2022/08/09 00:10:26 - mmengine - INFO - Epoch(val) [6][1240/6282] eta: 0:11:47 time: 0.1403 data_time: 0.0724 memory: 806 2022/08/09 00:10:30 - mmengine - INFO - Epoch(val) [6][1260/6282] eta: 0:13:21 time: 0.1597 data_time: 0.1025 memory: 806 2022/08/09 00:10:33 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:14:03 time: 0.1686 data_time: 0.1112 memory: 806 2022/08/09 00:10:37 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:15:41 time: 0.1889 data_time: 0.1219 memory: 806 2022/08/09 00:10:40 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:13:01 time: 0.1575 data_time: 0.1018 memory: 806 2022/08/09 00:10:43 - mmengine - INFO - Epoch(val) [6][1340/6282] eta: 0:11:59 time: 0.1457 data_time: 0.0888 memory: 806 2022/08/09 00:10:48 - mmengine - INFO - Epoch(val) [6][1360/6282] eta: 0:20:44 time: 0.2528 data_time: 0.1970 memory: 806 2022/08/09 00:10:51 - mmengine - INFO - Epoch(val) [6][1380/6282] eta: 0:11:02 time: 0.1351 data_time: 0.0791 memory: 806 2022/08/09 00:10:54 - mmengine - INFO - Epoch(val) [6][1400/6282] eta: 0:14:42 time: 0.1807 data_time: 0.1258 memory: 806 2022/08/09 00:10:57 - mmengine - INFO - Epoch(val) [6][1420/6282] eta: 0:10:41 time: 0.1320 data_time: 0.0704 memory: 806 2022/08/09 00:10:58 - mmengine - INFO - Epoch(val) [6][1440/6282] eta: 0:04:58 time: 0.0617 data_time: 0.0050 memory: 806 2022/08/09 00:11:00 - mmengine - INFO - Epoch(val) [6][1460/6282] eta: 0:07:10 time: 0.0893 data_time: 0.0352 memory: 806 2022/08/09 00:11:01 - mmengine - INFO - Epoch(val) [6][1480/6282] eta: 0:05:22 time: 0.0671 data_time: 0.0116 memory: 806 2022/08/09 00:11:02 - mmengine - INFO - Epoch(val) [6][1500/6282] eta: 0:04:41 time: 0.0590 data_time: 0.0045 memory: 806 2022/08/09 00:11:04 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:07:59 time: 0.1007 data_time: 0.0392 memory: 909 2022/08/09 00:11:06 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:07:56 time: 0.1005 data_time: 0.0275 memory: 909 2022/08/09 00:11:08 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:06:25 time: 0.0817 data_time: 0.0052 memory: 909 2022/08/09 00:11:10 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:06:03 time: 0.0772 data_time: 0.0057 memory: 909 2022/08/09 00:11:11 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:06:03 time: 0.0776 data_time: 0.0052 memory: 909 2022/08/09 00:11:13 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:07:02 time: 0.0907 data_time: 0.0210 memory: 909 2022/08/09 00:11:14 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:04:59 time: 0.0646 data_time: 0.0061 memory: 806 2022/08/09 00:11:16 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:04:52 time: 0.0632 data_time: 0.0057 memory: 806 2022/08/09 00:11:17 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:04:55 time: 0.0643 data_time: 0.0046 memory: 806 2022/08/09 00:11:18 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:04:47 time: 0.0628 data_time: 0.0045 memory: 806 2022/08/09 00:11:20 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:06:20 time: 0.0833 data_time: 0.0271 memory: 806 2022/08/09 00:11:21 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:04:31 time: 0.0598 data_time: 0.0037 memory: 806 2022/08/09 00:11:22 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:04:23 time: 0.0582 data_time: 0.0035 memory: 806 2022/08/09 00:11:23 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:04:28 time: 0.0596 data_time: 0.0037 memory: 806 2022/08/09 00:11:25 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:04:31 time: 0.0606 data_time: 0.0049 memory: 806 2022/08/09 00:11:26 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:04:32 time: 0.0611 data_time: 0.0046 memory: 806 2022/08/09 00:11:28 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:06:56 time: 0.0938 data_time: 0.0336 memory: 806 2022/08/09 00:11:32 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:14:20 time: 0.1946 data_time: 0.1340 memory: 806 2022/08/09 00:11:34 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:09:53 time: 0.1348 data_time: 0.0771 memory: 806 2022/08/09 00:11:38 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:12:32 time: 0.1717 data_time: 0.1134 memory: 806 2022/08/09 00:11:41 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:11:57 time: 0.1644 data_time: 0.1090 memory: 806 2022/08/09 00:11:44 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:09:45 time: 0.1349 data_time: 0.0801 memory: 806 2022/08/09 00:11:45 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:03:24 time: 0.0473 data_time: 0.0033 memory: 741 2022/08/09 00:11:46 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:03:46 time: 0.0527 data_time: 0.0048 memory: 741 2022/08/09 00:11:47 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:04:16 time: 0.0598 data_time: 0.0045 memory: 741 2022/08/09 00:11:48 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:04:02 time: 0.0569 data_time: 0.0050 memory: 741 2022/08/09 00:11:49 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:03:52 time: 0.0548 data_time: 0.0056 memory: 741 2022/08/09 00:11:50 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:03:58 time: 0.0565 data_time: 0.0044 memory: 741 2022/08/09 00:11:52 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:04:15 time: 0.0608 data_time: 0.0054 memory: 741 2022/08/09 00:11:53 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:03:58 time: 0.0571 data_time: 0.0052 memory: 741 2022/08/09 00:11:54 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:03:57 time: 0.0572 data_time: 0.0046 memory: 741 2022/08/09 00:11:55 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:03:49 time: 0.0555 data_time: 0.0051 memory: 741 2022/08/09 00:11:57 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:05:56 time: 0.0865 data_time: 0.0085 memory: 736 2022/08/09 00:11:58 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:03:48 time: 0.0557 data_time: 0.0062 memory: 736 2022/08/09 00:11:59 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:03:40 time: 0.0541 data_time: 0.0052 memory: 736 2022/08/09 00:12:00 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:03:42 time: 0.0547 data_time: 0.0049 memory: 736 2022/08/09 00:12:01 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:03:47 time: 0.0563 data_time: 0.0054 memory: 736 2022/08/09 00:12:02 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:03:49 time: 0.0571 data_time: 0.0050 memory: 741 2022/08/09 00:12:03 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:03:49 time: 0.0573 data_time: 0.0054 memory: 741 2022/08/09 00:12:05 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:03:44 time: 0.0563 data_time: 0.0042 memory: 741 2022/08/09 00:12:06 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:03:43 time: 0.0565 data_time: 0.0051 memory: 741 2022/08/09 00:12:07 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:03:41 time: 0.0562 data_time: 0.0056 memory: 741 2022/08/09 00:12:08 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:03:36 time: 0.0551 data_time: 0.0047 memory: 736 2022/08/09 00:12:09 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:03:40 time: 0.0566 data_time: 0.0042 memory: 736 2022/08/09 00:12:10 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:03:41 time: 0.0570 data_time: 0.0051 memory: 736 2022/08/09 00:12:11 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:03:39 time: 0.0569 data_time: 0.0050 memory: 736 2022/08/09 00:12:13 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:03:45 time: 0.0586 data_time: 0.0063 memory: 736 2022/08/09 00:12:14 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:04:39 time: 0.0731 data_time: 0.0120 memory: 806 2022/08/09 00:12:16 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:06:15 time: 0.0987 data_time: 0.0298 memory: 806 2022/08/09 00:12:18 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:05:40 time: 0.0900 data_time: 0.0277 memory: 806 2022/08/09 00:12:20 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:06:27 time: 0.1030 data_time: 0.0145 memory: 806 2022/08/09 00:12:22 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:06:34 time: 0.1054 data_time: 0.0437 memory: 806 2022/08/09 00:12:25 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:09:06 time: 0.1467 data_time: 0.0885 memory: 806 2022/08/09 00:12:29 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:11:26 time: 0.1856 data_time: 0.1267 memory: 806 2022/08/09 00:12:32 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:09:12 time: 0.1500 data_time: 0.0888 memory: 806 2022/08/09 00:12:35 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:10:22 time: 0.1701 data_time: 0.1099 memory: 806 2022/08/09 00:12:38 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:08:59 time: 0.1481 data_time: 0.0903 memory: 806 2022/08/09 00:12:40 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:04:34 time: 0.0758 data_time: 0.0042 memory: 899 2022/08/09 00:12:41 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:04:45 time: 0.0792 data_time: 0.0082 memory: 899 2022/08/09 00:12:43 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:04:45 time: 0.0797 data_time: 0.0071 memory: 899 2022/08/09 00:12:44 - mmengine - INFO - Epoch(val) [6][2720/6282] eta: 0:04:38 time: 0.0783 data_time: 0.0071 memory: 899 2022/08/09 00:12:46 - mmengine - INFO - Epoch(val) [6][2740/6282] eta: 0:04:28 time: 0.0759 data_time: 0.0059 memory: 899 2022/08/09 00:12:47 - mmengine - INFO - Epoch(val) [6][2760/6282] eta: 0:03:03 time: 0.0521 data_time: 0.0043 memory: 741 2022/08/09 00:12:48 - mmengine - INFO - Epoch(val) [6][2780/6282] eta: 0:03:18 time: 0.0566 data_time: 0.0054 memory: 741 2022/08/09 00:12:49 - mmengine - INFO - Epoch(val) [6][2800/6282] eta: 0:03:08 time: 0.0541 data_time: 0.0039 memory: 741 2022/08/09 00:12:50 - mmengine - INFO - Epoch(val) [6][2820/6282] eta: 0:03:17 time: 0.0571 data_time: 0.0049 memory: 741 2022/08/09 00:12:51 - mmengine - INFO - Epoch(val) [6][2840/6282] eta: 0:03:19 time: 0.0581 data_time: 0.0063 memory: 741 2022/08/09 00:12:53 - mmengine - INFO - Epoch(val) [6][2860/6282] eta: 0:04:27 time: 0.0781 data_time: 0.0132 memory: 806 2022/08/09 00:12:55 - mmengine - INFO - Epoch(val) [6][2880/6282] eta: 0:05:57 time: 0.1051 data_time: 0.0418 memory: 806 2022/08/09 00:12:57 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:06:01 time: 0.1070 data_time: 0.0181 memory: 806 2022/08/09 00:12:58 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:03:12 time: 0.0572 data_time: 0.0039 memory: 806 2022/08/09 00:12:59 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:02:58 time: 0.0534 data_time: 0.0048 memory: 769 2022/08/09 00:13:01 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:02:58 time: 0.0539 data_time: 0.0039 memory: 769 2022/08/09 00:13:02 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:02:54 time: 0.0528 data_time: 0.0042 memory: 769 2022/08/09 00:13:03 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:03:04 time: 0.0562 data_time: 0.0042 memory: 769 2022/08/09 00:13:04 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:03:18 time: 0.0608 data_time: 0.0042 memory: 806 2022/08/09 00:13:05 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:03:09 time: 0.0583 data_time: 0.0038 memory: 806 2022/08/09 00:13:06 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:03:08 time: 0.0585 data_time: 0.0040 memory: 806 2022/08/09 00:13:08 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:03:08 time: 0.0588 data_time: 0.0040 memory: 806 2022/08/09 00:13:09 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:03:01 time: 0.0569 data_time: 0.0042 memory: 806 2022/08/09 00:13:10 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:02:53 time: 0.0547 data_time: 0.0051 memory: 741 2022/08/09 00:13:11 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:02:56 time: 0.0563 data_time: 0.0049 memory: 741 2022/08/09 00:13:12 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:02:51 time: 0.0549 data_time: 0.0046 memory: 741 2022/08/09 00:13:13 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:03:05 time: 0.0599 data_time: 0.0062 memory: 741 2022/08/09 00:13:15 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:03:30 time: 0.0682 data_time: 0.0070 memory: 806 2022/08/09 00:13:17 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:05:25 time: 0.1063 data_time: 0.0141 memory: 806 2022/08/09 00:13:18 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:03:40 time: 0.0724 data_time: 0.0063 memory: 806 2022/08/09 00:13:20 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:03:45 time: 0.0746 data_time: 0.0078 memory: 806 2022/08/09 00:13:21 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:03:28 time: 0.0693 data_time: 0.0053 memory: 806 2022/08/09 00:13:22 - mmengine - INFO - Epoch(val) [6][3300/6282] eta: 0:03:16 time: 0.0658 data_time: 0.0064 memory: 806 2022/08/09 00:13:24 - mmengine - INFO - Epoch(val) [6][3320/6282] eta: 0:03:07 time: 0.0632 data_time: 0.0044 memory: 806 2022/08/09 00:13:25 - mmengine - INFO - Epoch(val) [6][3340/6282] eta: 0:03:09 time: 0.0645 data_time: 0.0053 memory: 806 2022/08/09 00:13:26 - mmengine - INFO - Epoch(val) [6][3360/6282] eta: 0:03:17 time: 0.0677 data_time: 0.0069 memory: 806 2022/08/09 00:13:28 - mmengine - INFO - Epoch(val) [6][3380/6282] eta: 0:02:51 time: 0.0590 data_time: 0.0045 memory: 806 2022/08/09 00:13:29 - mmengine - INFO - Epoch(val) [6][3400/6282] eta: 0:02:37 time: 0.0548 data_time: 0.0037 memory: 736 2022/08/09 00:13:30 - mmengine - INFO - Epoch(val) [6][3420/6282] eta: 0:02:38 time: 0.0553 data_time: 0.0046 memory: 736 2022/08/09 00:13:31 - mmengine - INFO - Epoch(val) [6][3440/6282] eta: 0:02:36 time: 0.0550 data_time: 0.0053 memory: 736 2022/08/09 00:13:32 - mmengine - INFO - Epoch(val) [6][3460/6282] eta: 0:02:42 time: 0.0576 data_time: 0.0054 memory: 736 2022/08/09 00:13:33 - mmengine - INFO - Epoch(val) [6][3480/6282] eta: 0:02:35 time: 0.0554 data_time: 0.0056 memory: 736 2022/08/09 00:13:34 - mmengine - INFO - Epoch(val) [6][3500/6282] eta: 0:02:22 time: 0.0512 data_time: 0.0044 memory: 736 2022/08/09 00:13:35 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:02:20 time: 0.0509 data_time: 0.0043 memory: 736 2022/08/09 00:13:37 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:03:32 time: 0.0774 data_time: 0.0050 memory: 736 2022/08/09 00:13:38 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:02:15 time: 0.0498 data_time: 0.0039 memory: 736 2022/08/09 00:13:39 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:21 time: 0.0523 data_time: 0.0041 memory: 786 2022/08/09 00:13:40 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:02:34 time: 0.0575 data_time: 0.0048 memory: 786 2022/08/09 00:13:41 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:02:28 time: 0.0559 data_time: 0.0045 memory: 786 2022/08/09 00:13:42 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:02:35 time: 0.0588 data_time: 0.0059 memory: 786 2022/08/09 00:13:43 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:02:37 time: 0.0599 data_time: 0.0052 memory: 786 2022/08/09 00:13:45 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:02:56 time: 0.0680 data_time: 0.0079 memory: 806 2022/08/09 00:13:46 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:03:28 time: 0.0806 data_time: 0.0184 memory: 806 2022/08/09 00:13:48 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:04:11 time: 0.0980 data_time: 0.0368 memory: 806 2022/08/09 00:13:50 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:03:41 time: 0.0873 data_time: 0.0240 memory: 806 2022/08/09 00:13:52 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:03:48 time: 0.0906 data_time: 0.0273 memory: 806 2022/08/09 00:13:54 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:03:43 time: 0.0892 data_time: 0.0270 memory: 806 2022/08/09 00:13:56 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:03:57 time: 0.0957 data_time: 0.0336 memory: 806 2022/08/09 00:13:57 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:03:44 time: 0.0910 data_time: 0.0053 memory: 806 2022/08/09 00:13:59 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:03:04 time: 0.0756 data_time: 0.0144 memory: 806 2022/08/09 00:14:01 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:03:46 time: 0.0933 data_time: 0.0322 memory: 806 2022/08/09 00:14:03 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:03:55 time: 0.0979 data_time: 0.0351 memory: 806 2022/08/09 00:14:05 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:03:42 time: 0.0935 data_time: 0.0293 memory: 806 2022/08/09 00:14:06 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:03:23 time: 0.0862 data_time: 0.0235 memory: 806 2022/08/09 00:14:08 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:03:12 time: 0.0821 data_time: 0.0191 memory: 806 2022/08/09 00:14:09 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:02:38 time: 0.0681 data_time: 0.0095 memory: 806 2022/08/09 00:14:11 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:02:29 time: 0.0651 data_time: 0.0050 memory: 806 2022/08/09 00:14:12 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:02:25 time: 0.0639 data_time: 0.0053 memory: 806 2022/08/09 00:14:13 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:02:18 time: 0.0614 data_time: 0.0048 memory: 806 2022/08/09 00:14:15 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:02:19 time: 0.0622 data_time: 0.0054 memory: 899 2022/08/09 00:14:16 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:02:35 time: 0.0700 data_time: 0.0046 memory: 899 2022/08/09 00:14:18 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:03:33 time: 0.0970 data_time: 0.0045 memory: 899 2022/08/09 00:14:19 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:02:33 time: 0.0704 data_time: 0.0056 memory: 899 2022/08/09 00:14:21 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:02:30 time: 0.0695 data_time: 0.0042 memory: 899 2022/08/09 00:14:22 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:02:17 time: 0.0642 data_time: 0.0047 memory: 899 2022/08/09 00:14:23 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:01:49 time: 0.0518 data_time: 0.0039 memory: 736 2022/08/09 00:14:24 - mmengine - INFO - Epoch(val) [6][4180/6282] eta: 0:02:00 time: 0.0575 data_time: 0.0045 memory: 736 2022/08/09 00:14:25 - mmengine - INFO - Epoch(val) [6][4200/6282] eta: 0:02:00 time: 0.0579 data_time: 0.0057 memory: 736 2022/08/09 00:14:27 - mmengine - INFO - Epoch(val) [6][4220/6282] eta: 0:01:56 time: 0.0563 data_time: 0.0045 memory: 736 2022/08/09 00:14:28 - mmengine - INFO - Epoch(val) [6][4240/6282] eta: 0:01:49 time: 0.0538 data_time: 0.0041 memory: 736 2022/08/09 00:14:29 - mmengine - INFO - Epoch(val) [6][4260/6282] eta: 0:01:52 time: 0.0555 data_time: 0.0049 memory: 735 2022/08/09 00:14:30 - mmengine - INFO - Epoch(val) [6][4280/6282] eta: 0:01:48 time: 0.0542 data_time: 0.0046 memory: 735 2022/08/09 00:14:31 - mmengine - INFO - Epoch(val) [6][4300/6282] eta: 0:01:49 time: 0.0555 data_time: 0.0049 memory: 735 2022/08/09 00:14:32 - mmengine - INFO - Epoch(val) [6][4320/6282] eta: 0:01:47 time: 0.0549 data_time: 0.0044 memory: 735 2022/08/09 00:14:33 - mmengine - INFO - Epoch(val) [6][4340/6282] eta: 0:01:44 time: 0.0538 data_time: 0.0052 memory: 735 2022/08/09 00:14:34 - mmengine - INFO - Epoch(val) [6][4360/6282] eta: 0:01:57 time: 0.0610 data_time: 0.0054 memory: 806 2022/08/09 00:14:36 - mmengine - INFO - Epoch(val) [6][4380/6282] eta: 0:01:52 time: 0.0589 data_time: 0.0038 memory: 806 2022/08/09 00:14:37 - mmengine - INFO - Epoch(val) [6][4400/6282] eta: 0:02:31 time: 0.0803 data_time: 0.0046 memory: 806 2022/08/09 00:14:38 - mmengine - INFO - Epoch(val) [6][4420/6282] eta: 0:01:53 time: 0.0610 data_time: 0.0048 memory: 806 2022/08/09 00:14:40 - mmengine - INFO - Epoch(val) [6][4440/6282] eta: 0:01:56 time: 0.0630 data_time: 0.0045 memory: 814 2022/08/09 00:14:41 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:01:52 time: 0.0619 data_time: 0.0048 memory: 814 2022/08/09 00:14:42 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:01:55 time: 0.0641 data_time: 0.0050 memory: 814 2022/08/09 00:14:43 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:01:53 time: 0.0634 data_time: 0.0049 memory: 814 2022/08/09 00:14:45 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:01:45 time: 0.0597 data_time: 0.0050 memory: 814 2022/08/09 00:14:46 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:35 time: 0.0551 data_time: 0.0045 memory: 742 2022/08/09 00:14:47 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:38 time: 0.0574 data_time: 0.0057 memory: 742 2022/08/09 00:14:48 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:34 time: 0.0555 data_time: 0.0050 memory: 742 2022/08/09 00:14:50 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:02:11 time: 0.0780 data_time: 0.0042 memory: 742 2022/08/09 00:14:51 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:36 time: 0.0578 data_time: 0.0055 memory: 742 2022/08/09 00:14:52 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:01:52 time: 0.0686 data_time: 0.0056 memory: 814 2022/08/09 00:14:53 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:01:46 time: 0.0657 data_time: 0.0048 memory: 814 2022/08/09 00:14:55 - 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mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:30 time: 0.0635 data_time: 0.0053 memory: 806 2022/08/09 00:15:07 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:34 time: 0.0675 data_time: 0.0057 memory: 806 2022/08/09 00:15:09 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:27 time: 0.0634 data_time: 0.0045 memory: 806 2022/08/09 00:15:10 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:27 time: 0.0645 data_time: 0.0053 memory: 809 2022/08/09 00:15:11 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:23 time: 0.0625 data_time: 0.0049 memory: 809 2022/08/09 00:15:12 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:01:22 time: 0.0621 data_time: 0.0043 memory: 809 2022/08/09 00:15:14 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:21 time: 0.0627 data_time: 0.0046 memory: 809 2022/08/09 00:15:15 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:01:19 time: 0.0623 data_time: 0.0040 memory: 809 2022/08/09 00:15:17 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:01:48 time: 0.0859 data_time: 0.0053 memory: 809 2022/08/09 00:15:18 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:01:09 time: 0.0563 data_time: 0.0047 memory: 741 2022/08/09 00:15:19 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:01:10 time: 0.0574 data_time: 0.0053 memory: 741 2022/08/09 00:15:20 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:01:07 time: 0.0558 data_time: 0.0054 memory: 741 2022/08/09 00:15:21 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:01:05 time: 0.0551 data_time: 0.0046 memory: 741 2022/08/09 00:15:22 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:01:05 time: 0.0566 data_time: 0.0057 memory: 741 2022/08/09 00:15:24 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:01:05 time: 0.0574 data_time: 0.0056 memory: 736 2022/08/09 00:15:25 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:01:03 time: 0.0570 data_time: 0.0037 memory: 736 2022/08/09 00:15:26 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:01:01 time: 0.0556 data_time: 0.0044 memory: 736 2022/08/09 00:15:27 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:01:01 time: 0.0568 data_time: 0.0055 memory: 736 2022/08/09 00:15:28 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:01:02 time: 0.0591 data_time: 0.0046 memory: 736 2022/08/09 00:15:29 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:00:58 time: 0.0562 data_time: 0.0045 memory: 735 2022/08/09 00:15:30 - mmengine - INFO - Epoch(val) [6][5260/6282] eta: 0:00:55 time: 0.0543 data_time: 0.0045 memory: 735 2022/08/09 00:15:32 - mmengine - INFO - Epoch(val) [6][5280/6282] eta: 0:00:58 time: 0.0580 data_time: 0.0050 memory: 735 2022/08/09 00:15:33 - mmengine - INFO - Epoch(val) [6][5300/6282] eta: 0:00:54 time: 0.0554 data_time: 0.0055 memory: 735 2022/08/09 00:15:34 - mmengine - INFO - Epoch(val) [6][5320/6282] eta: 0:00:53 time: 0.0558 data_time: 0.0047 memory: 736 2022/08/09 00:15:35 - mmengine - INFO - Epoch(val) [6][5340/6282] eta: 0:00:53 time: 0.0570 data_time: 0.0046 memory: 736 2022/08/09 00:15:36 - mmengine - INFO - Epoch(val) [6][5360/6282] eta: 0:00:52 time: 0.0564 data_time: 0.0049 memory: 736 2022/08/09 00:15:38 - mmengine - INFO - Epoch(val) [6][5380/6282] eta: 0:01:10 time: 0.0780 data_time: 0.0045 memory: 736 2022/08/09 00:15:39 - mmengine - INFO - Epoch(val) [6][5400/6282] eta: 0:00:48 time: 0.0551 data_time: 0.0040 memory: 736 2022/08/09 00:15:40 - mmengine - INFO - Epoch(val) [6][5420/6282] eta: 0:00:47 time: 0.0549 data_time: 0.0057 memory: 736 2022/08/09 00:15:41 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:45 time: 0.0536 data_time: 0.0056 memory: 736 2022/08/09 00:15:42 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:47 time: 0.0572 data_time: 0.0044 memory: 736 2022/08/09 00:15:43 - mmengine - INFO - Epoch(val) [6][5480/6282] eta: 0:00:43 time: 0.0544 data_time: 0.0052 memory: 736 2022/08/09 00:15:44 - mmengine - INFO - Epoch(val) [6][5500/6282] eta: 0:00:43 time: 0.0559 data_time: 0.0051 memory: 736 2022/08/09 00:15:45 - mmengine - INFO - Epoch(val) [6][5520/6282] eta: 0:00:45 time: 0.0594 data_time: 0.0055 memory: 761 2022/08/09 00:15:47 - mmengine - INFO - Epoch(val) [6][5540/6282] eta: 0:00:46 time: 0.0629 data_time: 0.0060 memory: 761 2022/08/09 00:15:48 - mmengine - INFO - Epoch(val) [6][5560/6282] eta: 0:00:42 time: 0.0596 data_time: 0.0059 memory: 761 2022/08/09 00:15:49 - mmengine - INFO - Epoch(val) [6][5580/6282] eta: 0:00:40 time: 0.0578 data_time: 0.0052 memory: 761 2022/08/09 00:15:50 - mmengine - INFO - Epoch(val) [6][5600/6282] eta: 0:00:39 time: 0.0584 data_time: 0.0057 memory: 761 2022/08/09 00:15:51 - mmengine - INFO - Epoch(val) [6][5620/6282] eta: 0:00:38 time: 0.0577 data_time: 0.0045 memory: 761 2022/08/09 00:15:53 - mmengine - INFO - Epoch(val) [6][5640/6282] eta: 0:00:36 time: 0.0568 data_time: 0.0052 memory: 736 2022/08/09 00:15:54 - mmengine - INFO - Epoch(val) [6][5660/6282] eta: 0:00:33 time: 0.0546 data_time: 0.0037 memory: 736 2022/08/09 00:15:55 - mmengine - INFO - Epoch(val) [6][5680/6282] eta: 0:00:33 time: 0.0552 data_time: 0.0048 memory: 736 2022/08/09 00:15:56 - mmengine - INFO - Epoch(val) [6][5700/6282] eta: 0:00:33 time: 0.0568 data_time: 0.0053 memory: 736 2022/08/09 00:15:57 - mmengine - INFO - Epoch(val) [6][5720/6282] eta: 0:00:34 time: 0.0617 data_time: 0.0041 memory: 777 2022/08/09 00:15:58 - mmengine - INFO - Epoch(val) [6][5740/6282] eta: 0:00:30 time: 0.0565 data_time: 0.0054 memory: 777 2022/08/09 00:15:59 - mmengine - INFO - Epoch(val) [6][5760/6282] eta: 0:00:28 time: 0.0545 data_time: 0.0038 memory: 777 2022/08/09 00:16:01 - mmengine - INFO - Epoch(val) [6][5780/6282] eta: 0:00:27 time: 0.0556 data_time: 0.0046 memory: 777 2022/08/09 00:16:02 - mmengine - INFO - Epoch(val) [6][5800/6282] eta: 0:00:26 time: 0.0547 data_time: 0.0041 memory: 777 2022/08/09 00:16:03 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:27 time: 0.0586 data_time: 0.0046 memory: 777 2022/08/09 00:16:04 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:25 time: 0.0573 data_time: 0.0041 memory: 761 2022/08/09 00:16:05 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:24 time: 0.0579 data_time: 0.0056 memory: 761 2022/08/09 00:16:06 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:23 time: 0.0582 data_time: 0.0051 memory: 761 2022/08/09 00:16:07 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:22 time: 0.0583 data_time: 0.0049 memory: 761 2022/08/09 00:16:09 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:19 time: 0.0551 data_time: 0.0058 memory: 761 2022/08/09 00:16:10 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:19 time: 0.0560 data_time: 0.0056 memory: 736 2022/08/09 00:16:11 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:17 time: 0.0538 data_time: 0.0048 memory: 736 2022/08/09 00:16:12 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:16 time: 0.0556 data_time: 0.0056 memory: 736 2022/08/09 00:16:13 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:17 time: 0.0624 data_time: 0.0055 memory: 806 2022/08/09 00:16:14 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:17 time: 0.0653 data_time: 0.0051 memory: 806 2022/08/09 00:16:16 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:16 time: 0.0662 data_time: 0.0067 memory: 806 2022/08/09 00:16:17 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:15 time: 0.0690 data_time: 0.0075 memory: 806 2022/08/09 00:16:19 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:13 time: 0.0680 data_time: 0.0047 memory: 806 2022/08/09 00:16:20 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:16 time: 0.0919 data_time: 0.0304 memory: 806 2022/08/09 00:16:22 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:13 time: 0.0811 data_time: 0.0203 memory: 806 2022/08/09 00:16:24 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:13 time: 0.0965 data_time: 0.0343 memory: 806 2022/08/09 00:16:26 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:09 time: 0.0783 data_time: 0.0161 memory: 806 2022/08/09 00:16:27 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:09 time: 0.0896 data_time: 0.0272 memory: 806 2022/08/09 00:16:29 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:04 time: 0.0589 data_time: 0.0028 memory: 806 2022/08/09 00:16:30 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:03 time: 0.0581 data_time: 0.0040 memory: 806 2022/08/09 00:16:31 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:02 time: 0.0560 data_time: 0.0037 memory: 806 2022/08/09 00:16:32 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:01 time: 0.0556 data_time: 0.0034 memory: 806 2022/08/09 00:16:33 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0539 data_time: 0.0031 memory: 806 2022/08/09 00:21:04 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.2472 2022/08/09 00:21:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2022/08/09 00:21:08 - mmengine - INFO - The best checkpoint with 0.2472 mAP/mAP@0.5IOU at 7 epoch is saved to best_mAP/mAP@0.5IOU_epoch_7.pth. 2022/08/09 00:21:24 - mmengine - INFO - Epoch(train) [7][20/2881] lr: 1.0000e-01 eta: 7:36:38 time: 0.7943 data_time: 0.1714 memory: 13802 grad_norm: 0.1492 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7719 recall@top3: 0.8355 prec@top3: 0.6754 recall@top5: 0.9605 prec@top5: 0.4737 loss_action_cls: 0.0411 loss: 0.0411 2022/08/09 00:21:36 - mmengine - INFO - Epoch(train) [7][40/2881] lr: 1.0000e-01 eta: 7:36:22 time: 0.6286 data_time: 0.0238 memory: 13802 grad_norm: 0.1675 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.6053 recall@top3: 0.7368 prec@top3: 0.4561 recall@top5: 0.9474 prec@top5: 0.3579 loss_action_cls: 0.0468 loss: 0.0468 2022/08/09 00:21:49 - mmengine - INFO - Epoch(train) [7][60/2881] lr: 1.0000e-01 eta: 7:36:07 time: 0.6441 data_time: 0.0238 memory: 13802 grad_norm: 0.1616 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.8770 recall@top3: 0.9048 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5238 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:22:02 - mmengine - INFO - Epoch(train) [7][80/2881] lr: 1.0000e-01 eta: 7:35:50 time: 0.6118 data_time: 0.0234 memory: 13802 grad_norm: 0.1561 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.7348 recall@top3: 0.7273 prec@top3: 0.6667 recall@top5: 0.9242 prec@top5: 0.5182 loss_action_cls: 0.0488 loss: 0.0488 2022/08/09 00:22:14 - mmengine - INFO - Epoch(train) [7][100/2881] lr: 1.0000e-01 eta: 7:35:34 time: 0.6312 data_time: 0.0269 memory: 13802 grad_norm: 0.1498 recall@thr=0.5: 0.5505 prec@thr=0.5: 0.7339 recall@top3: 0.7296 prec@top3: 0.6774 recall@top5: 0.9274 prec@top5: 0.5290 loss_action_cls: 0.0418 loss: 0.0418 2022/08/09 00:22:26 - mmengine - INFO - Epoch(train) [7][120/2881] lr: 1.0000e-01 eta: 7:35:18 time: 0.6103 data_time: 0.0197 memory: 13802 grad_norm: 0.1552 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7460 recall@top3: 0.7183 prec@top3: 0.5873 recall@top5: 0.8413 prec@top5: 0.4095 loss_action_cls: 0.0429 loss: 0.0429 2022/08/09 00:22:39 - mmengine - INFO - Epoch(train) [7][140/2881] lr: 1.0000e-01 eta: 7:35:02 time: 0.6325 data_time: 0.0196 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.8636 prec@thr=0.5: 0.7879 recall@top3: 0.8636 prec@top3: 0.5455 recall@top5: 0.9318 prec@top5: 0.3545 loss_action_cls: 0.0418 loss: 0.0418 2022/08/09 00:22:52 - mmengine - INFO - Epoch(train) [7][160/2881] lr: 1.0000e-01 eta: 7:34:47 time: 0.6428 data_time: 0.0218 memory: 13802 grad_norm: 0.1377 recall@thr=0.5: 0.6607 prec@thr=0.5: 0.7083 recall@top3: 0.7589 prec@top3: 0.6786 recall@top5: 0.9018 prec@top5: 0.4929 loss_action_cls: 0.0457 loss: 0.0457 2022/08/09 00:23:05 - mmengine - INFO - Epoch(train) [7][180/2881] lr: 1.0000e-01 eta: 7:34:31 time: 0.6338 data_time: 0.0195 memory: 13802 grad_norm: 0.1457 recall@thr=0.5: 0.5910 prec@thr=0.5: 0.8590 recall@top3: 0.8090 prec@top3: 0.6923 recall@top5: 0.9462 prec@top5: 0.5000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 00:23:17 - mmengine - INFO - Epoch(train) [7][200/2881] lr: 1.0000e-01 eta: 7:34:15 time: 0.6353 data_time: 0.0234 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.7944 prec@thr=0.5: 0.7056 recall@top3: 0.8611 prec@top3: 0.5778 recall@top5: 0.8972 prec@top5: 0.3733 loss_action_cls: 0.0471 loss: 0.0471 2022/08/09 00:23:30 - mmengine - INFO - Epoch(train) [7][220/2881] lr: 1.0000e-01 eta: 7:33:59 time: 0.6252 data_time: 0.0207 memory: 13802 grad_norm: 0.1522 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7833 recall@top3: 0.7589 prec@top3: 0.6905 recall@top5: 0.9464 prec@top5: 0.5286 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:23:42 - mmengine - INFO - Epoch(train) [7][240/2881] lr: 1.0000e-01 eta: 7:33:42 time: 0.6076 data_time: 0.0211 memory: 13802 grad_norm: 0.1564 recall@thr=0.5: 0.5993 prec@thr=0.5: 0.8354 recall@top3: 0.7306 prec@top3: 0.7778 recall@top5: 0.9833 prec@top5: 0.6000 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 00:23:55 - mmengine - INFO - Epoch(train) [7][260/2881] lr: 1.0000e-01 eta: 7:33:27 time: 0.6462 data_time: 0.0204 memory: 13802 grad_norm: 0.1514 recall@thr=0.5: 0.4250 prec@thr=0.5: 0.5250 recall@top3: 0.6042 prec@top3: 0.6333 recall@top5: 0.8750 prec@top5: 0.5400 loss_action_cls: 0.0442 loss: 0.0442 2022/08/09 00:24:08 - mmengine - INFO - Epoch(train) [7][280/2881] lr: 1.0000e-01 eta: 7:33:12 time: 0.6335 data_time: 0.0213 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7719 recall@top3: 0.8772 prec@top3: 0.7193 recall@top5: 0.9825 prec@top5: 0.4947 loss_action_cls: 0.0469 loss: 0.0469 2022/08/09 00:24:20 - mmengine - INFO - Epoch(train) [7][300/2881] lr: 1.0000e-01 eta: 7:32:56 time: 0.6315 data_time: 0.0229 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.9118 recall@top3: 0.8235 prec@top3: 0.6667 recall@top5: 0.9461 prec@top5: 0.4824 loss_action_cls: 0.0414 loss: 0.0414 2022/08/09 00:24:32 - mmengine - INFO - Epoch(train) [7][320/2881] lr: 1.0000e-01 eta: 7:32:39 time: 0.6090 data_time: 0.0217 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8639 recall@top3: 0.8056 prec@top3: 0.7000 recall@top5: 0.9833 prec@top5: 0.5200 loss_action_cls: 0.0396 loss: 0.0396 2022/08/09 00:24:45 - mmengine - INFO - Epoch(train) [7][340/2881] lr: 1.0000e-01 eta: 7:32:23 time: 0.6300 data_time: 0.0223 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.6802 prec@thr=0.5: 0.8810 recall@top3: 0.7675 prec@top3: 0.7937 recall@top5: 0.8857 prec@top5: 0.5619 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:24:57 - mmengine - INFO - Epoch(train) [7][360/2881] lr: 1.0000e-01 eta: 7:32:07 time: 0.6231 data_time: 0.0208 memory: 13802 grad_norm: 0.1639 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6471 recall@top3: 0.6667 prec@top3: 0.5490 recall@top5: 0.8627 prec@top5: 0.4353 loss_action_cls: 0.0479 loss: 0.0479 2022/08/09 00:25:10 - mmengine - INFO - Epoch(train) [7][380/2881] lr: 1.0000e-01 eta: 7:31:52 time: 0.6365 data_time: 0.0211 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.7874 prec@thr=0.5: 0.7356 recall@top3: 0.8190 prec@top3: 0.6552 recall@top5: 0.9483 prec@top5: 0.4690 loss_action_cls: 0.0444 loss: 0.0444 2022/08/09 00:25:22 - mmengine - INFO - Epoch(train) [7][400/2881] lr: 1.0000e-01 eta: 7:31:35 time: 0.6036 data_time: 0.0220 memory: 13802 grad_norm: 0.1458 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8947 recall@top3: 0.8947 prec@top3: 0.7368 recall@top5: 0.9737 prec@top5: 0.4947 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 00:25:35 - mmengine - INFO - Epoch(train) [7][420/2881] lr: 1.0000e-01 eta: 7:31:19 time: 0.6312 data_time: 0.0239 memory: 13802 grad_norm: 0.1426 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8413 recall@top3: 0.8889 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0344 loss: 0.0344 2022/08/09 00:25:48 - mmengine - INFO - Epoch(train) [7][440/2881] lr: 1.0000e-01 eta: 7:31:04 time: 0.6404 data_time: 0.0214 memory: 13802 grad_norm: 0.1563 recall@thr=0.5: 0.4912 prec@thr=0.5: 0.4649 recall@top3: 0.7105 prec@top3: 0.4211 recall@top5: 0.8421 prec@top5: 0.2947 loss_action_cls: 0.0456 loss: 0.0456 2022/08/09 00:26:00 - mmengine - INFO - Epoch(train) [7][460/2881] lr: 1.0000e-01 eta: 7:30:48 time: 0.6220 data_time: 0.0220 memory: 13802 grad_norm: 0.1452 recall@thr=0.5: 0.8310 prec@thr=0.5: 0.7579 recall@top3: 0.7635 prec@top3: 0.6667 recall@top5: 0.8738 prec@top5: 0.4857 loss_action_cls: 0.0467 loss: 0.0467 2022/08/09 00:26:12 - mmengine - INFO - Epoch(train) [7][480/2881] lr: 1.0000e-01 eta: 7:30:31 time: 0.6048 data_time: 0.0203 memory: 13802 grad_norm: 0.1472 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7333 recall@top3: 0.8125 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.5000 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 00:26:25 - mmengine - INFO - Epoch(train) [7][500/2881] lr: 1.0000e-01 eta: 7:30:15 time: 0.6265 data_time: 0.0238 memory: 13802 grad_norm: 0.1480 recall@thr=0.5: 0.8643 prec@thr=0.5: 0.8143 recall@top3: 0.9071 prec@top3: 0.6667 recall@top5: 0.9381 prec@top5: 0.4171 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:26:37 - mmengine - INFO - Epoch(train) [7][520/2881] lr: 1.0000e-01 eta: 7:29:58 time: 0.6043 data_time: 0.0201 memory: 13802 grad_norm: 0.1546 recall@thr=0.5: 0.6960 prec@thr=0.5: 0.8333 recall@top3: 0.7556 prec@top3: 0.6508 recall@top5: 0.8302 prec@top5: 0.4476 loss_action_cls: 0.0393 loss: 0.0393 2022/08/09 00:26:50 - mmengine - INFO - Epoch(train) [7][540/2881] lr: 1.0000e-01 eta: 7:29:44 time: 0.6563 data_time: 0.0216 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.7760 recall@top3: 0.8333 prec@top3: 0.6354 recall@top5: 0.8958 prec@top5: 0.4187 loss_action_cls: 0.0411 loss: 0.0411 2022/08/09 00:27:02 - mmengine - INFO - Epoch(train) [7][560/2881] lr: 1.0000e-01 eta: 7:29:27 time: 0.6089 data_time: 0.0219 memory: 13802 grad_norm: 0.1556 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.8509 recall@top3: 0.7237 prec@top3: 0.6491 recall@top5: 0.8816 prec@top5: 0.4842 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:27:15 - mmengine - INFO - Epoch(train) [7][580/2881] lr: 1.0000e-01 eta: 7:29:11 time: 0.6251 data_time: 0.0253 memory: 13802 grad_norm: 0.1475 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.8480 recall@top3: 0.7108 prec@top3: 0.7843 recall@top5: 0.8971 prec@top5: 0.5882 loss_action_cls: 0.0475 loss: 0.0475 2022/08/09 00:27:27 - mmengine - INFO - Epoch(train) [7][600/2881] lr: 1.0000e-01 eta: 7:28:54 time: 0.6038 data_time: 0.0202 memory: 13802 grad_norm: 0.1427 recall@thr=0.5: 0.7806 prec@thr=0.5: 0.8111 recall@top3: 0.8222 prec@top3: 0.6333 recall@top5: 0.9639 prec@top5: 0.4667 loss_action_cls: 0.0465 loss: 0.0465 2022/08/09 00:27:40 - mmengine - INFO - Epoch(train) [7][620/2881] lr: 1.0000e-01 eta: 7:28:39 time: 0.6412 data_time: 0.0211 memory: 13802 grad_norm: 0.1439 recall@thr=0.5: 0.7790 prec@thr=0.5: 0.8741 recall@top3: 0.8679 prec@top3: 0.7778 recall@top5: 0.9704 prec@top5: 0.5407 loss_action_cls: 0.0493 loss: 0.0493 2022/08/09 00:27:52 - mmengine - INFO - Epoch(train) [7][640/2881] lr: 1.0000e-01 eta: 7:28:24 time: 0.6413 data_time: 0.0210 memory: 13802 grad_norm: 0.1483 recall@thr=0.5: 0.4129 prec@thr=0.5: 0.4773 recall@top3: 0.6515 prec@top3: 0.5758 recall@top5: 0.7727 prec@top5: 0.4182 loss_action_cls: 0.0476 loss: 0.0476 2022/08/09 00:28:04 - mmengine - INFO - Epoch(train) [7][660/2881] lr: 1.0000e-01 eta: 7:28:07 time: 0.6068 data_time: 0.0224 memory: 13802 grad_norm: 0.1478 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8875 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0451 loss: 0.0451 2022/08/09 00:28:17 - mmengine - INFO - Epoch(train) [7][680/2881] lr: 1.0000e-01 eta: 7:27:51 time: 0.6289 data_time: 0.0220 memory: 13802 grad_norm: 0.1532 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.7500 recall@top3: 0.8750 prec@top3: 0.6833 recall@top5: 0.9542 prec@top5: 0.4600 loss_action_cls: 0.0474 loss: 0.0474 2022/08/09 00:28:30 - mmengine - INFO - Epoch(train) [7][700/2881] lr: 1.0000e-01 eta: 7:27:36 time: 0.6383 data_time: 0.0233 memory: 13802 grad_norm: 0.1498 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7778 recall@top3: 0.7460 prec@top3: 0.5556 recall@top5: 0.7698 prec@top5: 0.3429 loss_action_cls: 0.0445 loss: 0.0445 2022/08/09 00:28:38 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 00:28:42 - mmengine - INFO - Epoch(train) [7][720/2881] lr: 1.0000e-01 eta: 7:27:20 time: 0.6107 data_time: 0.0222 memory: 13802 grad_norm: 0.1485 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.7138 recall@top3: 0.8333 prec@top3: 0.6957 recall@top5: 0.9348 prec@top5: 0.4783 loss_action_cls: 0.0415 loss: 0.0415 2022/08/09 00:28:55 - mmengine - INFO - Epoch(train) [7][740/2881] lr: 1.0000e-01 eta: 7:27:04 time: 0.6374 data_time: 0.0224 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8542 recall@top3: 0.8472 prec@top3: 0.6528 recall@top5: 0.9757 prec@top5: 0.4833 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 00:29:08 - mmengine - INFO - Epoch(train) [7][760/2881] lr: 1.0000e-01 eta: 7:26:49 time: 0.6356 data_time: 0.0229 memory: 13802 grad_norm: 0.1451 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.8571 recall@top3: 0.7679 prec@top3: 0.5000 recall@top5: 0.8631 prec@top5: 0.3571 loss_action_cls: 0.0458 loss: 0.0458 2022/08/09 00:29:20 - mmengine - INFO - Epoch(train) [7][780/2881] lr: 1.0000e-01 eta: 7:26:34 time: 0.6342 data_time: 0.0226 memory: 13802 grad_norm: 0.1554 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7546 recall@top3: 0.7778 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.5444 loss_action_cls: 0.0378 loss: 0.0378 2022/08/09 00:29:32 - mmengine - INFO - Epoch(train) [7][800/2881] lr: 1.0000e-01 eta: 7:26:17 time: 0.6033 data_time: 0.0221 memory: 13802 grad_norm: 0.1441 recall@thr=0.5: 0.8676 prec@thr=0.5: 0.8054 recall@top3: 0.8309 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4471 loss_action_cls: 0.0432 loss: 0.0432 2022/08/09 00:29:45 - mmengine - INFO - Epoch(train) [7][820/2881] lr: 1.0000e-01 eta: 7:26:01 time: 0.6299 data_time: 0.0230 memory: 13802 grad_norm: 0.1482 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8333 recall@top3: 0.9250 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0436 loss: 0.0436 2022/08/09 00:29:57 - mmengine - INFO - Epoch(train) [7][840/2881] lr: 1.0000e-01 eta: 7:25:46 time: 0.6324 data_time: 0.0208 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.9306 recall@top3: 0.9167 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5083 loss_action_cls: 0.0428 loss: 0.0428 2022/08/09 00:30:10 - mmengine - INFO - Epoch(train) [7][860/2881] lr: 1.0000e-01 eta: 7:25:31 time: 0.6417 data_time: 0.0232 memory: 13802 grad_norm: 0.1525 recall@thr=0.5: 0.8879 prec@thr=0.5: 0.8864 recall@top3: 0.8879 prec@top3: 0.7273 recall@top5: 0.9439 prec@top5: 0.4818 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 00:30:23 - mmengine - INFO - Epoch(train) [7][880/2881] lr: 1.0000e-01 eta: 7:25:15 time: 0.6366 data_time: 0.0221 memory: 13802 grad_norm: 0.1431 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8869 recall@top3: 0.8929 prec@top3: 0.6905 recall@top5: 0.9554 prec@top5: 0.4571 loss_action_cls: 0.0429 loss: 0.0429 2022/08/09 00:30:36 - mmengine - INFO - Epoch(train) [7][900/2881] lr: 1.0000e-01 eta: 7:25:01 time: 0.6498 data_time: 0.0294 memory: 13802 grad_norm: 0.1461 recall@thr=0.5: 0.6200 prec@thr=0.5: 0.8167 recall@top3: 0.7533 prec@top3: 0.6167 recall@top5: 0.8883 prec@top5: 0.4500 loss_action_cls: 0.0427 loss: 0.0427 2022/08/09 00:30:49 - mmengine - INFO - Epoch(train) [7][920/2881] lr: 1.0000e-01 eta: 7:24:45 time: 0.6318 data_time: 0.0220 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.8386 prec@thr=0.5: 0.8175 recall@top3: 0.8544 prec@top3: 0.7368 recall@top5: 0.9175 prec@top5: 0.4947 loss_action_cls: 0.0479 loss: 0.0479 2022/08/09 00:31:01 - mmengine - INFO - Epoch(train) [7][940/2881] lr: 1.0000e-01 eta: 7:24:30 time: 0.6330 data_time: 0.0224 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7222 recall@top3: 0.8056 prec@top3: 0.6389 recall@top5: 0.9549 prec@top5: 0.4583 loss_action_cls: 0.0439 loss: 0.0439 2022/08/09 00:31:14 - mmengine - INFO - Epoch(train) [7][960/2881] lr: 1.0000e-01 eta: 7:24:13 time: 0.6134 data_time: 0.0213 memory: 13802 grad_norm: 0.1415 recall@thr=0.5: 0.8651 prec@thr=0.5: 0.8968 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4952 loss_action_cls: 0.0461 loss: 0.0461 2022/08/09 00:31:26 - mmengine - INFO - Epoch(train) [7][980/2881] lr: 1.0000e-01 eta: 7:23:58 time: 0.6297 data_time: 0.0209 memory: 13802 grad_norm: 0.1529 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.8182 recall@top3: 0.7348 prec@top3: 0.7424 recall@top5: 0.9091 prec@top5: 0.5455 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 00:31:39 - mmengine - INFO - Epoch(train) [7][1000/2881] lr: 1.0000e-01 eta: 7:23:43 time: 0.6388 data_time: 0.0235 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.8403 prec@thr=0.5: 0.9514 recall@top3: 0.9062 prec@top3: 0.7639 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0412 loss: 0.0412 2022/08/09 00:31:51 - mmengine - INFO - Epoch(train) [7][1020/2881] lr: 1.0000e-01 eta: 7:23:26 time: 0.6040 data_time: 0.0220 memory: 13802 grad_norm: 0.1594 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.8095 recall@top3: 0.8135 prec@top3: 0.7460 recall@top5: 0.9762 prec@top5: 0.5429 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:32:04 - mmengine - INFO - Epoch(train) [7][1040/2881] lr: 1.0000e-01 eta: 7:23:11 time: 0.6359 data_time: 0.0205 memory: 13802 grad_norm: 0.1541 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8167 recall@top3: 0.7593 prec@top3: 0.6296 recall@top5: 0.9352 prec@top5: 0.4778 loss_action_cls: 0.0452 loss: 0.0452 2022/08/09 00:32:16 - mmengine - INFO - Epoch(train) [7][1060/2881] lr: 1.0000e-01 eta: 7:22:54 time: 0.6130 data_time: 0.0227 memory: 13802 grad_norm: 0.1459 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7448 recall@top3: 0.8125 prec@top3: 0.6771 recall@top5: 0.9089 prec@top5: 0.4562 loss_action_cls: 0.0457 loss: 0.0457 2022/08/09 00:32:29 - mmengine - INFO - Epoch(train) [7][1080/2881] lr: 1.0000e-01 eta: 7:22:39 time: 0.6281 data_time: 0.0210 memory: 13802 grad_norm: 0.1471 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.8750 recall@top3: 0.8177 prec@top3: 0.7083 recall@top5: 0.9323 prec@top5: 0.4875 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 00:32:41 - mmengine - INFO - Epoch(train) [7][1100/2881] lr: 1.0000e-01 eta: 7:22:23 time: 0.6295 data_time: 0.0212 memory: 13802 grad_norm: 0.1493 recall@thr=0.5: 0.5977 prec@thr=0.5: 0.7299 recall@top3: 0.7098 prec@top3: 0.5517 recall@top5: 0.9052 prec@top5: 0.4414 loss_action_cls: 0.0462 loss: 0.0462 2022/08/09 00:32:54 - mmengine - INFO - Epoch(train) [7][1120/2881] lr: 1.0000e-01 eta: 7:22:08 time: 0.6462 data_time: 0.0234 memory: 13802 grad_norm: 0.1455 recall@thr=0.5: 0.7338 prec@thr=0.5: 0.8190 recall@top3: 0.7438 prec@top3: 0.7429 recall@top5: 0.9333 prec@top5: 0.5600 loss_action_cls: 0.0419 loss: 0.0419 2022/08/09 00:33:07 - mmengine - INFO - Epoch(train) [7][1140/2881] lr: 1.0000e-01 eta: 7:21:53 time: 0.6289 data_time: 0.0229 memory: 13802 grad_norm: 0.1465 recall@thr=0.5: 0.8160 prec@thr=0.5: 0.8993 recall@top3: 0.8542 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4833 loss_action_cls: 0.0411 loss: 0.0411 2022/08/09 00:33:20 - mmengine - INFO - Epoch(train) [7][1160/2881] lr: 1.0000e-01 eta: 7:21:38 time: 0.6425 data_time: 0.0218 memory: 13802 grad_norm: 0.1420 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8333 recall@top3: 0.8860 prec@top3: 0.5263 recall@top5: 0.9211 prec@top5: 0.3368 loss_action_cls: 0.0449 loss: 0.0449 2022/08/09 00:33:32 - mmengine - INFO - Epoch(train) [7][1180/2881] lr: 1.0000e-01 eta: 7:21:22 time: 0.6338 data_time: 0.0265 memory: 13802 grad_norm: 0.1494 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7667 recall@top3: 0.8917 prec@top3: 0.7000 recall@top5: 0.9833 prec@top5: 0.4600 loss_action_cls: 0.0408 loss: 0.0408 2022/08/09 00:33:45 - mmengine - INFO - Epoch(train) [7][1200/2881] lr: 1.0000e-01 eta: 7:21:07 time: 0.6325 data_time: 0.0223 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.9206 recall@top3: 0.8730 prec@top3: 0.7460 recall@top5: 0.9683 prec@top5: 0.5048 loss_action_cls: 0.0455 loss: 0.0455 2022/08/09 00:33:58 - mmengine - INFO - Epoch(train) [7][1220/2881] lr: 1.0000e-01 eta: 7:20:52 time: 0.6417 data_time: 0.0241 memory: 13802 grad_norm: 0.1494 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6270 recall@top3: 0.7937 prec@top3: 0.6032 recall@top5: 0.9444 prec@top5: 0.4476 loss_action_cls: 0.0451 loss: 0.0451 2022/08/09 00:34:11 - mmengine - INFO - Epoch(train) [7][1240/2881] lr: 1.0000e-01 eta: 7:20:38 time: 0.6556 data_time: 0.0378 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.9762 recall@top3: 0.8889 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.5048 loss_action_cls: 0.0485 loss: 0.0485 2022/08/09 00:34:26 - mmengine - INFO - Epoch(train) [7][1260/2881] lr: 1.0000e-01 eta: 7:20:28 time: 0.7557 data_time: 0.0239 memory: 13802 grad_norm: 0.1474 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8016 recall@top3: 0.7873 prec@top3: 0.7143 recall@top5: 0.9484 prec@top5: 0.5333 loss_action_cls: 0.0414 loss: 0.0414 2022/08/09 00:34:47 - mmengine - INFO - Epoch(train) [7][1280/2881] lr: 1.0000e-01 eta: 7:20:29 time: 1.0400 data_time: 0.3038 memory: 13802 grad_norm: 0.1495 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6806 recall@top3: 0.7569 prec@top3: 0.5278 recall@top5: 0.9028 prec@top5: 0.3583 loss_action_cls: 0.0434 loss: 0.0434 2022/08/09 00:35:00 - mmengine - INFO - Epoch(train) [7][1300/2881] lr: 1.0000e-01 eta: 7:20:15 time: 0.6590 data_time: 0.0220 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.6184 prec@thr=0.5: 0.7544 recall@top3: 0.8509 prec@top3: 0.7544 recall@top5: 0.9474 prec@top5: 0.5053 loss_action_cls: 0.0473 loss: 0.0473 2022/08/09 00:35:17 - mmengine - INFO - Epoch(train) [7][1320/2881] lr: 1.0000e-01 eta: 7:20:10 time: 0.8745 data_time: 0.0228 memory: 13802 grad_norm: 0.1386 recall@thr=0.5: 0.7217 prec@thr=0.5: 0.8361 recall@top3: 0.8267 prec@top3: 0.6333 recall@top5: 0.9439 prec@top5: 0.4533 loss_action_cls: 0.0454 loss: 0.0454 2022/08/09 00:35:32 - mmengine - INFO - Epoch(train) [7][1340/2881] lr: 1.0000e-01 eta: 7:19:59 time: 0.7441 data_time: 0.0319 memory: 13802 grad_norm: 0.1482 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.8462 recall@top3: 0.8333 prec@top3: 0.6795 recall@top5: 0.9359 prec@top5: 0.4692 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 00:35:54 - mmengine - INFO - Epoch(train) [7][1360/2881] lr: 1.0000e-01 eta: 7:20:02 time: 1.0669 data_time: 0.0236 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7063 recall@top3: 0.7897 prec@top3: 0.6032 recall@top5: 0.9127 prec@top5: 0.4286 loss_action_cls: 0.0421 loss: 0.0421 2022/08/09 00:36:06 - mmengine - INFO - Epoch(train) [7][1380/2881] lr: 1.0000e-01 eta: 7:19:47 time: 0.6383 data_time: 0.0259 memory: 13802 grad_norm: 0.1442 recall@thr=0.5: 0.8694 prec@thr=0.5: 0.8935 recall@top3: 0.8898 prec@top3: 0.8333 recall@top5: 0.9889 prec@top5: 0.5778 loss_action_cls: 0.0462 loss: 0.0462 2022/08/09 00:36:23 - mmengine - INFO - Epoch(train) [7][1400/2881] lr: 1.0000e-01 eta: 7:19:38 time: 0.8047 data_time: 0.0510 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.7603 prec@thr=0.5: 0.9444 recall@top3: 0.8611 prec@top3: 0.8254 recall@top5: 0.9413 prec@top5: 0.5619 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 00:36:36 - mmengine - INFO - Epoch(train) [7][1420/2881] lr: 1.0000e-01 eta: 7:19:25 time: 0.6758 data_time: 0.0632 memory: 13802 grad_norm: 0.1488 recall@thr=0.5: 0.7356 prec@thr=0.5: 0.6351 recall@top3: 0.7644 prec@top3: 0.6437 recall@top5: 0.9741 prec@top5: 0.5172 loss_action_cls: 0.0417 loss: 0.0417 2022/08/09 00:36:52 - mmengine - INFO - Epoch(train) [7][1440/2881] lr: 1.0000e-01 eta: 7:19:17 time: 0.8108 data_time: 0.0220 memory: 13802 grad_norm: 0.1543 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6765 recall@top3: 0.8824 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.3765 loss_action_cls: 0.0463 loss: 0.0463 2022/08/09 00:37:05 - mmengine - INFO - Epoch(train) [7][1460/2881] lr: 1.0000e-01 eta: 7:19:01 time: 0.6359 data_time: 0.0215 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.6630 prec@thr=0.5: 0.6848 recall@top3: 0.7754 prec@top3: 0.5797 recall@top5: 0.9348 prec@top5: 0.4522 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 00:37:18 - mmengine - INFO - Epoch(train) [7][1480/2881] lr: 1.0000e-01 eta: 7:18:47 time: 0.6660 data_time: 0.0246 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.7090 prec@thr=0.5: 0.7628 recall@top3: 0.7929 prec@top3: 0.7179 recall@top5: 0.9038 prec@top5: 0.5154 loss_action_cls: 0.0404 loss: 0.0404 2022/08/09 00:37:31 - mmengine - INFO - Epoch(train) [7][1500/2881] lr: 1.0000e-01 eta: 7:18:33 time: 0.6492 data_time: 0.0283 memory: 13802 grad_norm: 0.1465 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.9028 recall@top3: 0.7951 prec@top3: 0.7917 recall@top5: 0.9340 prec@top5: 0.5750 loss_action_cls: 0.0399 loss: 0.0399 2022/08/09 00:37:45 - mmengine - INFO - Epoch(train) [7][1520/2881] lr: 1.0000e-01 eta: 7:18:19 time: 0.6711 data_time: 0.0246 memory: 13802 grad_norm: 0.1492 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8889 recall@top3: 0.8704 prec@top3: 0.7222 recall@top5: 0.9630 prec@top5: 0.4889 loss_action_cls: 0.0459 loss: 0.0459 2022/08/09 00:37:58 - mmengine - INFO - Epoch(train) [7][1540/2881] lr: 1.0000e-01 eta: 7:18:04 time: 0.6391 data_time: 0.0207 memory: 13802 grad_norm: 0.1458 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7982 recall@top3: 0.7500 prec@top3: 0.4737 recall@top5: 0.8947 prec@top5: 0.3684 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 00:38:10 - mmengine - INFO - Epoch(train) [7][1560/2881] lr: 1.0000e-01 eta: 7:17:49 time: 0.6411 data_time: 0.0258 memory: 13802 grad_norm: 0.1471 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8648 recall@top3: 0.8981 prec@top3: 0.8519 recall@top5: 0.9815 prec@top5: 0.5667 loss_action_cls: 0.0399 loss: 0.0399 2022/08/09 00:38:23 - mmengine - INFO - Epoch(train) [7][1580/2881] lr: 1.0000e-01 eta: 7:17:33 time: 0.6332 data_time: 0.0212 memory: 13802 grad_norm: 0.1483 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8810 recall@top3: 0.8333 prec@top3: 0.6349 recall@top5: 0.9286 prec@top5: 0.4190 loss_action_cls: 0.0438 loss: 0.0438 2022/08/09 00:38:36 - mmengine - INFO - Epoch(train) [7][1600/2881] lr: 1.0000e-01 eta: 7:17:19 time: 0.6482 data_time: 0.0297 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.8529 recall@top3: 0.8382 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.5059 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 00:38:49 - mmengine - INFO - Epoch(train) [7][1620/2881] lr: 1.0000e-01 eta: 7:17:04 time: 0.6468 data_time: 0.0252 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8184 recall@top3: 0.7632 prec@top3: 0.5965 recall@top5: 0.9035 prec@top5: 0.4316 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 00:39:02 - mmengine - INFO - Epoch(train) [7][1640/2881] lr: 1.0000e-01 eta: 7:16:50 time: 0.6772 data_time: 0.0227 memory: 13802 grad_norm: 0.1533 recall@thr=0.5: 0.6933 prec@thr=0.5: 0.7500 recall@top3: 0.8067 prec@top3: 0.6800 recall@top5: 0.9200 prec@top5: 0.4800 loss_action_cls: 0.0419 loss: 0.0419 2022/08/09 00:39:16 - mmengine - INFO - Epoch(train) [7][1660/2881] lr: 1.0000e-01 eta: 7:16:36 time: 0.6589 data_time: 0.0256 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.8017 prec@thr=0.5: 0.7931 recall@top3: 0.8563 prec@top3: 0.6207 recall@top5: 0.9713 prec@top5: 0.4414 loss_action_cls: 0.0463 loss: 0.0463 2022/08/09 00:39:29 - mmengine - INFO - Epoch(train) [7][1680/2881] lr: 1.0000e-01 eta: 7:16:22 time: 0.6767 data_time: 0.0220 memory: 13802 grad_norm: 0.1415 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8030 recall@top3: 0.8030 prec@top3: 0.6970 recall@top5: 0.9242 prec@top5: 0.4909 loss_action_cls: 0.0472 loss: 0.0472 2022/08/09 00:39:42 - mmengine - INFO - Epoch(train) [7][1700/2881] lr: 1.0000e-01 eta: 7:16:08 time: 0.6485 data_time: 0.0239 memory: 13802 grad_norm: 0.1557 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.7727 recall@top3: 0.8750 prec@top3: 0.4848 recall@top5: 0.9091 prec@top5: 0.3182 loss_action_cls: 0.0416 loss: 0.0416 2022/08/09 00:39:51 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 00:39:55 - mmengine - INFO - Epoch(train) [7][1720/2881] lr: 1.0000e-01 eta: 7:15:52 time: 0.6209 data_time: 0.0243 memory: 13802 grad_norm: 0.1533 recall@thr=0.5: 0.6658 prec@thr=0.5: 0.7982 recall@top3: 0.7930 prec@top3: 0.7544 recall@top5: 0.8649 prec@top5: 0.5053 loss_action_cls: 0.0498 loss: 0.0498 2022/08/09 00:40:07 - mmengine - INFO - Epoch(train) [7][1740/2881] lr: 1.0000e-01 eta: 7:15:37 time: 0.6377 data_time: 0.0204 memory: 13802 grad_norm: 0.1492 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6833 recall@top3: 0.7333 prec@top3: 0.4444 recall@top5: 0.9333 prec@top5: 0.3467 loss_action_cls: 0.0426 loss: 0.0426 2022/08/09 00:40:20 - mmengine - INFO - Epoch(train) [7][1760/2881] lr: 1.0000e-01 eta: 7:15:22 time: 0.6496 data_time: 0.0224 memory: 13802 grad_norm: 0.1514 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7827 recall@top3: 0.7500 prec@top3: 0.6420 recall@top5: 0.8580 prec@top5: 0.4519 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 00:40:33 - mmengine - INFO - Epoch(train) [7][1780/2881] lr: 1.0000e-01 eta: 7:15:07 time: 0.6445 data_time: 0.0234 memory: 13802 grad_norm: 0.1479 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7698 recall@top3: 0.8095 prec@top3: 0.7619 recall@top5: 0.9484 prec@top5: 0.5333 loss_action_cls: 0.0460 loss: 0.0460 2022/08/09 00:40:49 - mmengine - INFO - Epoch(train) [7][1800/2881] lr: 1.0000e-01 eta: 7:14:57 time: 0.7697 data_time: 0.0278 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.6907 prec@thr=0.5: 0.7700 recall@top3: 0.7907 prec@top3: 0.6533 recall@top5: 0.9920 prec@top5: 0.4880 loss_action_cls: 0.0456 loss: 0.0456 2022/08/09 00:41:01 - mmengine - INFO - Epoch(train) [7][1820/2881] lr: 1.0000e-01 eta: 7:14:42 time: 0.6393 data_time: 0.0273 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.6253 prec@thr=0.5: 0.7471 recall@top3: 0.6885 prec@top3: 0.5057 recall@top5: 0.8833 prec@top5: 0.3862 loss_action_cls: 0.0408 loss: 0.0408 2022/08/09 00:41:14 - mmengine - INFO - Epoch(train) [7][1840/2881] lr: 1.0000e-01 eta: 7:14:28 time: 0.6499 data_time: 0.0253 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.6802 prec@thr=0.5: 0.9048 recall@top3: 0.7794 prec@top3: 0.6667 recall@top5: 0.8627 prec@top5: 0.4476 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 00:41:29 - mmengine - INFO - Epoch(train) [7][1860/2881] lr: 1.0000e-01 eta: 7:14:16 time: 0.7223 data_time: 0.0205 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7333 recall@top3: 0.8278 prec@top3: 0.6667 recall@top5: 0.9778 prec@top5: 0.4933 loss_action_cls: 0.0432 loss: 0.0432 2022/08/09 00:41:42 - mmengine - INFO - Epoch(train) [7][1880/2881] lr: 1.0000e-01 eta: 7:14:01 time: 0.6341 data_time: 0.0219 memory: 13802 grad_norm: 0.1467 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.6833 recall@top3: 0.9375 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4700 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 00:41:56 - mmengine - INFO - Epoch(train) [7][1900/2881] lr: 1.0000e-01 eta: 7:13:48 time: 0.7064 data_time: 0.0224 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.4975 prec@thr=0.5: 0.6263 recall@top3: 0.6364 prec@top3: 0.5354 recall@top5: 0.8131 prec@top5: 0.4182 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 00:42:09 - mmengine - INFO - Epoch(train) [7][1920/2881] lr: 1.0000e-01 eta: 7:13:34 time: 0.6639 data_time: 0.0214 memory: 13802 grad_norm: 0.1465 recall@thr=0.5: 0.8592 prec@thr=0.5: 0.8046 recall@top3: 0.8966 prec@top3: 0.5517 recall@top5: 0.9540 prec@top5: 0.3655 loss_action_cls: 0.0444 loss: 0.0444 2022/08/09 00:42:22 - mmengine - INFO - Epoch(train) [7][1940/2881] lr: 1.0000e-01 eta: 7:13:19 time: 0.6310 data_time: 0.0214 memory: 13802 grad_norm: 0.1444 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6439 recall@top3: 0.7727 prec@top3: 0.5758 recall@top5: 0.9394 prec@top5: 0.4182 loss_action_cls: 0.0414 loss: 0.0414 2022/08/09 00:42:34 - mmengine - INFO - Epoch(train) [7][1960/2881] lr: 1.0000e-01 eta: 7:13:04 time: 0.6398 data_time: 0.0219 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7992 recall@top3: 0.7212 prec@top3: 0.7121 recall@top5: 0.8788 prec@top5: 0.5364 loss_action_cls: 0.0454 loss: 0.0454 2022/08/09 00:42:47 - mmengine - INFO - Epoch(train) [7][1980/2881] lr: 1.0000e-01 eta: 7:12:47 time: 0.6087 data_time: 0.0229 memory: 13802 grad_norm: 0.1475 recall@thr=0.5: 0.7688 prec@thr=0.5: 0.8925 recall@top3: 0.8387 prec@top3: 0.7204 recall@top5: 0.9409 prec@top5: 0.4968 loss_action_cls: 0.0438 loss: 0.0438 2022/08/09 00:42:59 - mmengine - INFO - Epoch(train) [7][2000/2881] lr: 1.0000e-01 eta: 7:12:32 time: 0.6327 data_time: 0.0209 memory: 13802 grad_norm: 0.1467 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8000 recall@top3: 0.8611 prec@top3: 0.8444 recall@top5: 0.9833 prec@top5: 0.5733 loss_action_cls: 0.0462 loss: 0.0462 2022/08/09 00:43:12 - mmengine - INFO - Epoch(train) [7][2020/2881] lr: 1.0000e-01 eta: 7:12:17 time: 0.6248 data_time: 0.0258 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7063 recall@top3: 0.7857 prec@top3: 0.6667 recall@top5: 0.8810 prec@top5: 0.4571 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 00:43:24 - mmengine - INFO - Epoch(train) [7][2040/2881] lr: 1.0000e-01 eta: 7:12:00 time: 0.6078 data_time: 0.0221 memory: 13802 grad_norm: 0.1456 recall@thr=0.5: 0.6699 prec@thr=0.5: 0.7853 recall@top3: 0.7660 prec@top3: 0.6667 recall@top5: 0.9872 prec@top5: 0.5077 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 00:43:37 - mmengine - INFO - Epoch(train) [7][2060/2881] lr: 1.0000e-01 eta: 7:11:45 time: 0.6398 data_time: 0.0265 memory: 13802 grad_norm: 0.1478 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9259 prec@top5: 0.4556 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 00:43:49 - mmengine - INFO - Epoch(train) [7][2080/2881] lr: 1.0000e-01 eta: 7:11:30 time: 0.6397 data_time: 0.0211 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.7054 prec@thr=0.5: 0.7738 recall@top3: 0.8661 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4929 loss_action_cls: 0.0446 loss: 0.0446 2022/08/09 00:44:02 - mmengine - INFO - Epoch(train) [7][2100/2881] lr: 1.0000e-01 eta: 7:11:15 time: 0.6340 data_time: 0.0244 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.9298 recall@top3: 0.8947 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0404 loss: 0.0404 2022/08/09 00:44:16 - mmengine - INFO - Epoch(train) [7][2120/2881] lr: 1.0000e-01 eta: 7:11:02 time: 0.6888 data_time: 0.0218 memory: 13802 grad_norm: 0.1555 recall@thr=0.5: 0.7754 prec@thr=0.5: 0.6522 recall@top3: 0.8478 prec@top3: 0.5942 recall@top5: 0.9130 prec@top5: 0.3826 loss_action_cls: 0.0407 loss: 0.0407 2022/08/09 00:44:29 - mmengine - INFO - Epoch(train) [7][2140/2881] lr: 1.0000e-01 eta: 7:10:47 time: 0.6313 data_time: 0.0216 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.7214 prec@thr=0.5: 0.8281 recall@top3: 0.8516 prec@top3: 0.8021 recall@top5: 0.9375 prec@top5: 0.5250 loss_action_cls: 0.0452 loss: 0.0452 2022/08/09 00:44:41 - mmengine - INFO - Epoch(train) [7][2160/2881] lr: 1.0000e-01 eta: 7:10:32 time: 0.6415 data_time: 0.0219 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7833 recall@top3: 0.8389 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 00:44:54 - mmengine - INFO - Epoch(train) [7][2180/2881] lr: 1.0000e-01 eta: 7:10:17 time: 0.6344 data_time: 0.0223 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.4800 prec@thr=0.5: 0.7000 recall@top3: 0.7689 prec@top3: 0.6667 recall@top5: 0.8400 prec@top5: 0.4533 loss_action_cls: 0.0438 loss: 0.0438 2022/08/09 00:45:07 - mmengine - INFO - Epoch(train) [7][2200/2881] lr: 1.0000e-01 eta: 7:10:01 time: 0.6298 data_time: 0.0227 memory: 13802 grad_norm: 0.1525 recall@thr=0.5: 0.4962 prec@thr=0.5: 0.6061 recall@top3: 0.6818 prec@top3: 0.6212 recall@top5: 0.7576 prec@top5: 0.4273 loss_action_cls: 0.0452 loss: 0.0452 2022/08/09 00:45:19 - mmengine - INFO - Epoch(train) [7][2220/2881] lr: 1.0000e-01 eta: 7:09:46 time: 0.6356 data_time: 0.0322 memory: 13802 grad_norm: 0.1497 recall@thr=0.5: 0.7471 prec@thr=0.5: 0.8448 recall@top3: 0.8494 prec@top3: 0.7931 recall@top5: 0.9218 prec@top5: 0.5310 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 00:45:32 - mmengine - INFO - Epoch(train) [7][2240/2881] lr: 1.0000e-01 eta: 7:09:31 time: 0.6387 data_time: 0.0242 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.7567 prec@thr=0.5: 0.7733 recall@top3: 0.7700 prec@top3: 0.6800 recall@top5: 0.9367 prec@top5: 0.5040 loss_action_cls: 0.0461 loss: 0.0461 2022/08/09 00:45:45 - mmengine - INFO - Epoch(train) [7][2260/2881] lr: 1.0000e-01 eta: 7:09:16 time: 0.6312 data_time: 0.0256 memory: 13802 grad_norm: 0.1464 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8600 recall@top3: 0.8200 prec@top3: 0.6133 recall@top5: 0.9500 prec@top5: 0.4480 loss_action_cls: 0.0365 loss: 0.0365 2022/08/09 00:45:57 - mmengine - INFO - Epoch(train) [7][2280/2881] lr: 1.0000e-01 eta: 7:09:00 time: 0.6303 data_time: 0.0202 memory: 13802 grad_norm: 0.1472 recall@thr=0.5: 0.5570 prec@thr=0.5: 0.8421 recall@top3: 0.7561 prec@top3: 0.8246 recall@top5: 0.9693 prec@top5: 0.6421 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 00:46:10 - mmengine - INFO - Epoch(train) [7][2300/2881] lr: 1.0000e-01 eta: 7:08:45 time: 0.6323 data_time: 0.0212 memory: 13802 grad_norm: 0.1436 recall@thr=0.5: 0.9298 prec@thr=0.5: 0.8421 recall@top3: 0.9298 prec@top3: 0.7018 recall@top5: 0.9298 prec@top5: 0.4211 loss_action_cls: 0.0416 loss: 0.0416 2022/08/09 00:46:23 - mmengine - INFO - Epoch(train) [7][2320/2881] lr: 1.0000e-01 eta: 7:08:30 time: 0.6337 data_time: 0.0265 memory: 13802 grad_norm: 0.1439 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.8235 recall@top3: 0.8137 prec@top3: 0.6471 recall@top5: 0.9020 prec@top5: 0.4353 loss_action_cls: 0.0418 loss: 0.0418 2022/08/09 00:46:36 - mmengine - INFO - Epoch(train) [7][2340/2881] lr: 1.0000e-01 eta: 7:08:16 time: 0.6682 data_time: 0.0603 memory: 13802 grad_norm: 0.1496 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9091 recall@top3: 0.9470 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0372 loss: 0.0372 2022/08/09 00:46:49 - mmengine - INFO - Epoch(train) [7][2360/2881] lr: 1.0000e-01 eta: 7:08:02 time: 0.6527 data_time: 0.0223 memory: 13802 grad_norm: 0.1431 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8431 recall@top3: 0.7647 prec@top3: 0.6078 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0415 loss: 0.0415 2022/08/09 00:47:02 - mmengine - INFO - Epoch(train) [7][2380/2881] lr: 1.0000e-01 eta: 7:07:46 time: 0.6329 data_time: 0.0264 memory: 13802 grad_norm: 0.1548 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6984 recall@top3: 0.7222 prec@top3: 0.5873 recall@top5: 0.9524 prec@top5: 0.4667 loss_action_cls: 0.0415 loss: 0.0415 2022/08/09 00:47:15 - mmengine - INFO - Epoch(train) [7][2400/2881] lr: 1.0000e-01 eta: 7:07:32 time: 0.6465 data_time: 0.0220 memory: 13802 grad_norm: 0.1520 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8800 recall@top3: 0.8800 prec@top3: 0.7600 recall@top5: 0.9533 prec@top5: 0.4880 loss_action_cls: 0.0423 loss: 0.0423 2022/08/09 00:47:27 - mmengine - INFO - Epoch(train) [7][2420/2881] lr: 1.0000e-01 eta: 7:07:17 time: 0.6378 data_time: 0.0212 memory: 13802 grad_norm: 0.1566 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.7115 recall@top3: 0.7244 prec@top3: 0.5256 recall@top5: 0.8590 prec@top5: 0.3846 loss_action_cls: 0.0455 loss: 0.0455 2022/08/09 00:47:40 - mmengine - INFO - Epoch(train) [7][2440/2881] lr: 1.0000e-01 eta: 7:07:02 time: 0.6486 data_time: 0.0217 memory: 13802 grad_norm: 0.1490 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7807 recall@top3: 0.7596 prec@top3: 0.4561 recall@top5: 0.8947 prec@top5: 0.3579 loss_action_cls: 0.0451 loss: 0.0451 2022/08/09 00:47:54 - mmengine - INFO - Epoch(train) [7][2460/2881] lr: 1.0000e-01 eta: 7:06:48 time: 0.6696 data_time: 0.0261 memory: 13802 grad_norm: 0.1472 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.6333 recall@top3: 0.5988 prec@top3: 0.5802 recall@top5: 0.9506 prec@top5: 0.5037 loss_action_cls: 0.0457 loss: 0.0457 2022/08/09 00:48:07 - mmengine - INFO - Epoch(train) [7][2480/2881] lr: 1.0000e-01 eta: 7:06:33 time: 0.6351 data_time: 0.0252 memory: 13802 grad_norm: 0.1439 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7281 recall@top3: 0.7982 prec@top3: 0.6140 recall@top5: 0.8947 prec@top5: 0.4105 loss_action_cls: 0.0407 loss: 0.0407 2022/08/09 00:48:19 - mmengine - INFO - Epoch(train) [7][2500/2881] lr: 1.0000e-01 eta: 7:06:18 time: 0.6410 data_time: 0.0230 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.7308 recall@top3: 0.8045 prec@top3: 0.6667 recall@top5: 0.8782 prec@top5: 0.4538 loss_action_cls: 0.0468 loss: 0.0468 2022/08/09 00:48:32 - mmengine - INFO - Epoch(train) [7][2520/2881] lr: 1.0000e-01 eta: 7:06:03 time: 0.6328 data_time: 0.0235 memory: 13802 grad_norm: 0.1479 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8750 recall@top3: 0.8292 prec@top3: 0.8667 recall@top5: 0.9708 prec@top5: 0.6200 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 00:48:45 - mmengine - INFO - Epoch(train) [7][2540/2881] lr: 1.0000e-01 eta: 7:05:48 time: 0.6346 data_time: 0.0215 memory: 13802 grad_norm: 0.1497 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.8210 recall@top3: 0.8272 prec@top3: 0.7284 recall@top5: 0.9630 prec@top5: 0.5185 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 00:48:57 - mmengine - INFO - Epoch(train) [7][2560/2881] lr: 1.0000e-01 eta: 7:05:32 time: 0.6024 data_time: 0.0224 memory: 13802 grad_norm: 0.1420 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5431 recall@top3: 0.6806 prec@top3: 0.5556 recall@top5: 0.8611 prec@top5: 0.4167 loss_action_cls: 0.0396 loss: 0.0396 2022/08/09 00:49:10 - mmengine - INFO - Epoch(train) [7][2580/2881] lr: 1.0000e-01 eta: 7:05:18 time: 0.6737 data_time: 0.0207 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.5789 recall@top3: 0.8947 prec@top3: 0.5614 recall@top5: 0.9123 prec@top5: 0.3474 loss_action_cls: 0.0426 loss: 0.0426 2022/08/09 00:49:23 - mmengine - INFO - Epoch(train) [7][2600/2881] lr: 1.0000e-01 eta: 7:05:03 time: 0.6215 data_time: 0.0247 memory: 13802 grad_norm: 0.1402 recall@thr=0.5: 0.8373 prec@thr=0.5: 0.7933 recall@top3: 0.8873 prec@top3: 0.7333 recall@top5: 0.9707 prec@top5: 0.4960 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 00:49:40 - mmengine - INFO - Epoch(train) [7][2620/2881] lr: 1.0000e-01 eta: 7:04:56 time: 0.8638 data_time: 0.0226 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6410 recall@top3: 0.6955 prec@top3: 0.5513 recall@top5: 0.8846 prec@top5: 0.4231 loss_action_cls: 0.0434 loss: 0.0434 2022/08/09 00:49:53 - mmengine - INFO - Epoch(train) [7][2640/2881] lr: 1.0000e-01 eta: 7:04:41 time: 0.6406 data_time: 0.0250 memory: 13802 grad_norm: 0.1506 recall@thr=0.5: 0.5847 prec@thr=0.5: 0.7033 recall@top3: 0.6933 prec@top3: 0.6400 recall@top5: 0.8347 prec@top5: 0.4640 loss_action_cls: 0.0423 loss: 0.0423 2022/08/09 00:50:05 - mmengine - INFO - Epoch(train) [7][2660/2881] lr: 1.0000e-01 eta: 7:04:26 time: 0.6306 data_time: 0.0213 memory: 13802 grad_norm: 0.1491 recall@thr=0.5: 0.6980 prec@thr=0.5: 0.7067 recall@top3: 0.7213 prec@top3: 0.6400 recall@top5: 0.8647 prec@top5: 0.4720 loss_action_cls: 0.0447 loss: 0.0447 2022/08/09 00:50:18 - mmengine - INFO - Epoch(train) [7][2680/2881] lr: 1.0000e-01 eta: 7:04:12 time: 0.6518 data_time: 0.0243 memory: 13802 grad_norm: 0.1475 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7361 recall@top3: 0.8796 prec@top3: 0.6111 recall@top5: 0.9537 prec@top5: 0.4222 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 00:50:31 - mmengine - INFO - Epoch(train) [7][2700/2881] lr: 1.0000e-01 eta: 7:03:57 time: 0.6346 data_time: 0.0232 memory: 13802 grad_norm: 0.1445 recall@thr=0.5: 0.8109 prec@thr=0.5: 0.9679 recall@top3: 0.9455 prec@top3: 0.6282 recall@top5: 0.9872 prec@top5: 0.4077 loss_action_cls: 0.0452 loss: 0.0452 2022/08/09 00:50:40 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 00:50:43 - mmengine - INFO - Epoch(train) [7][2720/2881] lr: 1.0000e-01 eta: 7:03:41 time: 0.6187 data_time: 0.0216 memory: 13802 grad_norm: 0.1452 recall@thr=0.5: 0.6341 prec@thr=0.5: 0.7391 recall@top3: 0.7138 prec@top3: 0.6377 recall@top5: 0.8696 prec@top5: 0.4783 loss_action_cls: 0.0456 loss: 0.0456 2022/08/09 00:50:56 - mmengine - INFO - Epoch(train) [7][2740/2881] lr: 1.0000e-01 eta: 7:03:26 time: 0.6342 data_time: 0.0236 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.6891 prec@thr=0.5: 0.7986 recall@top3: 0.7326 prec@top3: 0.6812 recall@top5: 0.9370 prec@top5: 0.5304 loss_action_cls: 0.0457 loss: 0.0457 2022/08/09 00:51:09 - mmengine - INFO - Epoch(train) [7][2760/2881] lr: 1.0000e-01 eta: 7:03:11 time: 0.6363 data_time: 0.0211 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.9211 recall@top3: 0.8860 prec@top3: 0.6667 recall@top5: 0.9825 prec@top5: 0.4526 loss_action_cls: 0.0449 loss: 0.0449 2022/08/09 00:51:21 - mmengine - INFO - Epoch(train) [7][2780/2881] lr: 1.0000e-01 eta: 7:02:55 time: 0.6083 data_time: 0.0211 memory: 13802 grad_norm: 0.1469 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.8854 recall@top3: 0.7292 prec@top3: 0.5625 recall@top5: 0.8854 prec@top5: 0.4250 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 00:51:34 - mmengine - INFO - Epoch(train) [7][2800/2881] lr: 1.0000e-01 eta: 7:02:40 time: 0.6359 data_time: 0.0257 memory: 13802 grad_norm: 0.1500 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.7658 recall@top3: 0.7719 prec@top3: 0.7018 recall@top5: 0.8553 prec@top5: 0.4842 loss_action_cls: 0.0414 loss: 0.0414 2022/08/09 00:51:46 - mmengine - INFO - Epoch(train) [7][2820/2881] lr: 1.0000e-01 eta: 7:02:25 time: 0.6365 data_time: 0.0219 memory: 13802 grad_norm: 0.1560 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.7222 recall@top3: 0.7778 prec@top3: 0.6111 recall@top5: 0.9630 prec@top5: 0.4778 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 00:51:59 - mmengine - INFO - Epoch(train) [7][2840/2881] lr: 1.0000e-01 eta: 7:02:09 time: 0.6087 data_time: 0.0218 memory: 13802 grad_norm: 0.1586 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7157 recall@top3: 0.7745 prec@top3: 0.5882 recall@top5: 0.9118 prec@top5: 0.3882 loss_action_cls: 0.0454 loss: 0.0454 2022/08/09 00:52:12 - mmengine - INFO - Epoch(train) [7][2860/2881] lr: 1.0000e-01 eta: 7:01:55 time: 0.6665 data_time: 0.0219 memory: 13802 grad_norm: 0.1424 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.7056 recall@top3: 0.7833 prec@top3: 0.6111 recall@top5: 0.9083 prec@top5: 0.4400 loss_action_cls: 0.0455 loss: 0.0455 2022/08/09 00:52:24 - mmengine - INFO - Epoch(train) [7][2880/2881] lr: 1.0000e-01 eta: 7:01:39 time: 0.6075 data_time: 0.0260 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.8264 recall@top3: 0.8333 prec@top3: 0.7222 recall@top5: 0.9097 prec@top5: 0.4833 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 00:52:25 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 00:52:25 - mmengine - INFO - Epoch(train) [7][2881/2881] lr: 1.0000e-01 eta: 7:01:39 time: 0.6015 data_time: 0.0200 memory: 13802 grad_norm: 0.1531 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.7750 recall@top3: 0.9125 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.3800 loss_action_cls: 0.0421 loss: 0.0421 2022/08/09 00:52:25 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/09 00:52:32 - mmengine - INFO - Epoch(val) [7][20/6282] eta: 0:10:48 time: 0.1035 data_time: 0.0612 memory: 721 2022/08/09 00:52:33 - mmengine - INFO - Epoch(val) [7][40/6282] eta: 0:05:32 time: 0.0533 data_time: 0.0045 memory: 721 2022/08/09 00:52:34 - mmengine - INFO - Epoch(val) [7][60/6282] eta: 0:05:27 time: 0.0526 data_time: 0.0045 memory: 721 2022/08/09 00:52:35 - mmengine - INFO - Epoch(val) [7][80/6282] eta: 0:04:44 time: 0.0459 data_time: 0.0035 memory: 721 2022/08/09 00:52:36 - mmengine - INFO - Epoch(val) [7][100/6282] eta: 0:04:57 time: 0.0480 data_time: 0.0041 memory: 721 2022/08/09 00:52:37 - mmengine - INFO - Epoch(val) [7][120/6282] eta: 0:05:26 time: 0.0531 data_time: 0.0035 memory: 806 2022/08/09 00:52:38 - mmengine - INFO - Epoch(val) [7][140/6282] eta: 0:05:54 time: 0.0576 data_time: 0.0035 memory: 806 2022/08/09 00:52:39 - mmengine - INFO - Epoch(val) [7][160/6282] eta: 0:05:54 time: 0.0580 data_time: 0.0038 memory: 806 2022/08/09 00:52:41 - mmengine - INFO - Epoch(val) [7][180/6282] eta: 0:08:41 time: 0.0855 data_time: 0.0057 memory: 806 2022/08/09 00:52:42 - mmengine - INFO - Epoch(val) [7][200/6282] eta: 0:07:24 time: 0.0731 data_time: 0.0176 memory: 806 2022/08/09 00:52:43 - mmengine - INFO - Epoch(val) [7][220/6282] eta: 0:05:32 time: 0.0549 data_time: 0.0059 memory: 736 2022/08/09 00:52:44 - mmengine - INFO - Epoch(val) [7][240/6282] eta: 0:04:59 time: 0.0495 data_time: 0.0034 memory: 736 2022/08/09 00:52:45 - mmengine - INFO - Epoch(val) [7][260/6282] eta: 0:05:48 time: 0.0579 data_time: 0.0053 memory: 736 2022/08/09 00:52:48 - mmengine - INFO - Epoch(val) [7][280/6282] eta: 0:12:03 time: 0.1206 data_time: 0.0727 memory: 736 2022/08/09 00:52:49 - mmengine - INFO - Epoch(val) [7][300/6282] eta: 0:05:31 time: 0.0555 data_time: 0.0037 memory: 806 2022/08/09 00:52:51 - mmengine - INFO - Epoch(val) [7][320/6282] eta: 0:11:12 time: 0.1128 data_time: 0.0548 memory: 806 2022/08/09 00:52:53 - mmengine - INFO - Epoch(val) [7][340/6282] eta: 0:07:18 time: 0.0737 data_time: 0.0146 memory: 806 2022/08/09 00:52:54 - mmengine - INFO - Epoch(val) [7][360/6282] eta: 0:08:25 time: 0.0854 data_time: 0.0260 memory: 806 2022/08/09 00:52:56 - mmengine - INFO - Epoch(val) [7][380/6282] eta: 0:08:59 time: 0.0915 data_time: 0.0292 memory: 806 2022/08/09 00:52:57 - mmengine - INFO - Epoch(val) [7][400/6282] eta: 0:05:53 time: 0.0600 data_time: 0.0052 memory: 806 2022/08/09 00:52:59 - mmengine - INFO - Epoch(val) [7][420/6282] eta: 0:05:57 time: 0.0610 data_time: 0.0098 memory: 741 2022/08/09 00:53:00 - mmengine - INFO - Epoch(val) [7][440/6282] eta: 0:04:56 time: 0.0507 data_time: 0.0038 memory: 741 2022/08/09 00:53:01 - mmengine - INFO - Epoch(val) [7][460/6282] eta: 0:07:49 time: 0.0806 data_time: 0.0044 memory: 741 2022/08/09 00:53:03 - mmengine - INFO - Epoch(val) [7][480/6282] eta: 0:05:51 time: 0.0607 data_time: 0.0103 memory: 741 2022/08/09 00:53:04 - mmengine - INFO - Epoch(val) [7][500/6282] eta: 0:05:27 time: 0.0566 data_time: 0.0048 memory: 741 2022/08/09 00:53:05 - mmengine - INFO - Epoch(val) [7][520/6282] eta: 0:05:10 time: 0.0538 data_time: 0.0047 memory: 736 2022/08/09 00:53:06 - mmengine - INFO - Epoch(val) [7][540/6282] eta: 0:06:05 time: 0.0636 data_time: 0.0138 memory: 736 2022/08/09 00:53:07 - mmengine - INFO - Epoch(val) [7][560/6282] eta: 0:04:55 time: 0.0517 data_time: 0.0038 memory: 736 2022/08/09 00:53:08 - mmengine - INFO - Epoch(val) [7][580/6282] eta: 0:04:57 time: 0.0522 data_time: 0.0039 memory: 736 2022/08/09 00:53:09 - mmengine - INFO - Epoch(val) [7][600/6282] eta: 0:04:52 time: 0.0514 data_time: 0.0039 memory: 736 2022/08/09 00:53:11 - mmengine - INFO - Epoch(val) [7][620/6282] eta: 0:09:54 time: 0.1049 data_time: 0.0586 memory: 736 2022/08/09 00:53:12 - mmengine - INFO - Epoch(val) [7][640/6282] eta: 0:04:54 time: 0.0522 data_time: 0.0044 memory: 733 2022/08/09 00:53:13 - mmengine - INFO - Epoch(val) [7][660/6282] eta: 0:04:43 time: 0.0505 data_time: 0.0049 memory: 733 2022/08/09 00:53:14 - mmengine - INFO - Epoch(val) [7][680/6282] eta: 0:04:36 time: 0.0494 data_time: 0.0038 memory: 733 2022/08/09 00:53:15 - mmengine - INFO - Epoch(val) [7][700/6282] eta: 0:04:30 time: 0.0484 data_time: 0.0039 memory: 733 2022/08/09 00:53:18 - mmengine - INFO - Epoch(val) [7][720/6282] eta: 0:11:37 time: 0.1253 data_time: 0.0723 memory: 806 2022/08/09 00:53:22 - mmengine - INFO - Epoch(val) [7][740/6282] eta: 0:17:23 time: 0.1883 data_time: 0.1115 memory: 806 2022/08/09 00:53:24 - mmengine - INFO - Epoch(val) [7][760/6282] eta: 0:13:07 time: 0.1426 data_time: 0.0890 memory: 806 2022/08/09 00:53:28 - mmengine - INFO - Epoch(val) [7][780/6282] eta: 0:16:33 time: 0.1806 data_time: 0.1238 memory: 806 2022/08/09 00:53:31 - mmengine - INFO - Epoch(val) [7][800/6282] eta: 0:11:57 time: 0.1308 data_time: 0.0735 memory: 806 2022/08/09 00:53:32 - mmengine - INFO - Epoch(val) [7][820/6282] eta: 0:06:59 time: 0.0768 data_time: 0.0248 memory: 806 2022/08/09 00:53:33 - mmengine - INFO - Epoch(val) [7][840/6282] eta: 0:05:22 time: 0.0592 data_time: 0.0052 memory: 736 2022/08/09 00:53:35 - mmengine - INFO - Epoch(val) [7][860/6282] eta: 0:05:06 time: 0.0565 data_time: 0.0068 memory: 736 2022/08/09 00:53:36 - mmengine - INFO - Epoch(val) [7][880/6282] eta: 0:05:00 time: 0.0557 data_time: 0.0039 memory: 736 2022/08/09 00:53:37 - mmengine - INFO - Epoch(val) [7][900/6282] eta: 0:05:25 time: 0.0604 data_time: 0.0142 memory: 736 2022/08/09 00:53:38 - mmengine - INFO - Epoch(val) [7][920/6282] eta: 0:04:39 time: 0.0520 data_time: 0.0037 memory: 736 2022/08/09 00:53:39 - mmengine - INFO - Epoch(val) [7][940/6282] eta: 0:06:29 time: 0.0728 data_time: 0.0030 memory: 721 2022/08/09 00:53:40 - mmengine - INFO - Epoch(val) [7][960/6282] eta: 0:04:39 time: 0.0525 data_time: 0.0036 memory: 721 2022/08/09 00:53:41 - mmengine - INFO - Epoch(val) [7][980/6282] eta: 0:04:28 time: 0.0507 data_time: 0.0045 memory: 721 2022/08/09 00:53:43 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:04:38 time: 0.0527 data_time: 0.0047 memory: 721 2022/08/09 00:53:44 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:05:31 time: 0.0631 data_time: 0.0131 memory: 736 2022/08/09 00:53:45 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:04:48 time: 0.0551 data_time: 0.0044 memory: 736 2022/08/09 00:53:46 - mmengine - INFO - Epoch(val) [7][1060/6282] eta: 0:04:36 time: 0.0529 data_time: 0.0048 memory: 736 2022/08/09 00:53:47 - mmengine - INFO - Epoch(val) [7][1080/6282] eta: 0:04:48 time: 0.0555 data_time: 0.0040 memory: 736 2022/08/09 00:53:48 - mmengine - INFO - Epoch(val) [7][1100/6282] eta: 0:05:20 time: 0.0619 data_time: 0.0153 memory: 736 2022/08/09 00:53:50 - mmengine - INFO - Epoch(val) [7][1120/6282] eta: 0:05:54 time: 0.0686 data_time: 0.0219 memory: 736 2022/08/09 00:53:51 - mmengine - INFO - Epoch(val) [7][1140/6282] eta: 0:06:37 time: 0.0773 data_time: 0.0037 memory: 736 2022/08/09 00:53:53 - mmengine - INFO - Epoch(val) [7][1160/6282] eta: 0:05:48 time: 0.0680 data_time: 0.0221 memory: 736 2022/08/09 00:53:54 - mmengine - INFO - Epoch(val) [7][1180/6282] eta: 0:03:53 time: 0.0457 data_time: 0.0025 memory: 736 2022/08/09 00:53:56 - mmengine - INFO - Epoch(val) [7][1200/6282] eta: 0:10:03 time: 0.1188 data_time: 0.0743 memory: 736 2022/08/09 00:53:57 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:04:05 time: 0.0485 data_time: 0.0035 memory: 736 2022/08/09 00:54:00 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:13:28 time: 0.1603 data_time: 0.1048 memory: 806 2022/08/09 00:54:03 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:12:07 time: 0.1448 data_time: 0.0876 memory: 806 2022/08/09 00:54:06 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:13:39 time: 0.1638 data_time: 0.1067 memory: 806 2022/08/09 00:54:10 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:14:01 time: 0.1690 data_time: 0.1107 memory: 806 2022/08/09 00:54:13 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:14:22 time: 0.1738 data_time: 0.1161 memory: 806 2022/08/09 00:54:16 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:11:43 time: 0.1424 data_time: 0.0827 memory: 806 2022/08/09 00:54:20 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:15:40 time: 0.1910 data_time: 0.1340 memory: 806 2022/08/09 00:54:23 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:13:11 time: 0.1615 data_time: 0.1044 memory: 806 2022/08/09 00:54:27 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:15:09 time: 0.1864 data_time: 0.1303 memory: 806 2022/08/09 00:54:30 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:12:21 time: 0.1524 data_time: 0.0962 memory: 806 2022/08/09 00:54:32 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:07:24 time: 0.0917 data_time: 0.0091 memory: 806 2022/08/09 00:54:33 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:04:48 time: 0.0599 data_time: 0.0040 memory: 806 2022/08/09 00:54:34 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:04:58 time: 0.0621 data_time: 0.0044 memory: 806 2022/08/09 00:54:37 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:10:04 time: 0.1263 data_time: 0.0659 memory: 806 2022/08/09 00:54:38 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:05:43 time: 0.0721 data_time: 0.0107 memory: 909 2022/08/09 00:54:40 - mmengine - INFO - Epoch(val) [7][1540/6282] eta: 0:06:51 time: 0.0868 data_time: 0.0192 memory: 909 2022/08/09 00:54:41 - mmengine - INFO - Epoch(val) [7][1560/6282] eta: 0:05:48 time: 0.0738 data_time: 0.0054 memory: 909 2022/08/09 00:54:43 - mmengine - INFO - Epoch(val) [7][1580/6282] eta: 0:06:16 time: 0.0800 data_time: 0.0114 memory: 909 2022/08/09 00:54:44 - mmengine - INFO - Epoch(val) [7][1600/6282] eta: 0:05:58 time: 0.0767 data_time: 0.0057 memory: 909 2022/08/09 00:54:47 - mmengine - INFO - Epoch(val) [7][1620/6282] eta: 0:07:51 time: 0.1012 data_time: 0.0120 memory: 909 2022/08/09 00:54:48 - mmengine - INFO - Epoch(val) [7][1640/6282] eta: 0:04:43 time: 0.0612 data_time: 0.0046 memory: 806 2022/08/09 00:54:49 - mmengine - INFO - Epoch(val) [7][1660/6282] eta: 0:05:26 time: 0.0706 data_time: 0.0124 memory: 806 2022/08/09 00:54:50 - mmengine - INFO - Epoch(val) [7][1680/6282] eta: 0:04:55 time: 0.0643 data_time: 0.0035 memory: 806 2022/08/09 00:54:52 - mmengine - INFO - Epoch(val) [7][1700/6282] eta: 0:04:55 time: 0.0645 data_time: 0.0046 memory: 806 2022/08/09 00:54:53 - mmengine - INFO - Epoch(val) [7][1720/6282] eta: 0:06:06 time: 0.0803 data_time: 0.0270 memory: 806 2022/08/09 00:54:55 - mmengine - INFO - Epoch(val) [7][1740/6282] eta: 0:04:51 time: 0.0641 data_time: 0.0098 memory: 806 2022/08/09 00:54:56 - mmengine - INFO - Epoch(val) [7][1760/6282] eta: 0:04:18 time: 0.0571 data_time: 0.0035 memory: 806 2022/08/09 00:54:57 - mmengine - INFO - Epoch(val) [7][1780/6282] eta: 0:04:22 time: 0.0584 data_time: 0.0039 memory: 806 2022/08/09 00:54:58 - mmengine - INFO - Epoch(val) [7][1800/6282] eta: 0:04:12 time: 0.0564 data_time: 0.0031 memory: 806 2022/08/09 00:55:00 - mmengine - INFO - Epoch(val) [7][1820/6282] eta: 0:06:28 time: 0.0872 data_time: 0.0096 memory: 806 2022/08/09 00:55:02 - mmengine - INFO - Epoch(val) [7][1840/6282] eta: 0:06:11 time: 0.0835 data_time: 0.0226 memory: 806 2022/08/09 00:55:05 - mmengine - INFO - Epoch(val) [7][1860/6282] eta: 0:13:38 time: 0.1851 data_time: 0.1267 memory: 806 2022/08/09 00:55:08 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:10:22 time: 0.1413 data_time: 0.0838 memory: 806 2022/08/09 00:55:12 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:14:28 time: 0.1981 data_time: 0.0962 memory: 806 2022/08/09 00:55:15 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:10:01 time: 0.1378 data_time: 0.0825 memory: 806 2022/08/09 00:55:18 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:10:36 time: 0.1466 data_time: 0.0947 memory: 806 2022/08/09 00:55:19 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:03:45 time: 0.0521 data_time: 0.0037 memory: 741 2022/08/09 00:55:20 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:04:38 time: 0.0648 data_time: 0.0172 memory: 741 2022/08/09 00:55:22 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:05:16 time: 0.0739 data_time: 0.0232 memory: 741 2022/08/09 00:55:23 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:03:32 time: 0.0498 data_time: 0.0042 memory: 741 2022/08/09 00:55:24 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:03:32 time: 0.0500 data_time: 0.0043 memory: 741 2022/08/09 00:55:25 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:04:23 time: 0.0625 data_time: 0.0154 memory: 741 2022/08/09 00:55:26 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:05:25 time: 0.0774 data_time: 0.0121 memory: 741 2022/08/09 00:55:28 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:05:48 time: 0.0834 data_time: 0.0377 memory: 741 2022/08/09 00:55:29 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:04:29 time: 0.0647 data_time: 0.0174 memory: 741 2022/08/09 00:55:31 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:04:13 time: 0.0612 data_time: 0.0038 memory: 741 2022/08/09 00:55:32 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:03:33 time: 0.0517 data_time: 0.0043 memory: 736 2022/08/09 00:55:33 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:03:33 time: 0.0522 data_time: 0.0052 memory: 736 2022/08/09 00:55:34 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:03:18 time: 0.0487 data_time: 0.0054 memory: 736 2022/08/09 00:55:35 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:04:21 time: 0.0645 data_time: 0.0215 memory: 736 2022/08/09 00:55:37 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:05:20 time: 0.0792 data_time: 0.0051 memory: 736 2022/08/09 00:55:38 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:03:43 time: 0.0555 data_time: 0.0059 memory: 741 2022/08/09 00:55:39 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:03:32 time: 0.0532 data_time: 0.0060 memory: 741 2022/08/09 00:55:40 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:04:05 time: 0.0618 data_time: 0.0164 memory: 741 2022/08/09 00:55:41 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:03:39 time: 0.0555 data_time: 0.0064 memory: 741 2022/08/09 00:55:42 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:03:50 time: 0.0585 data_time: 0.0141 memory: 741 2022/08/09 00:55:44 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:04:15 time: 0.0651 data_time: 0.0203 memory: 736 2022/08/09 00:55:45 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:03:50 time: 0.0591 data_time: 0.0145 memory: 736 2022/08/09 00:55:46 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:03:37 time: 0.0561 data_time: 0.0087 memory: 736 2022/08/09 00:55:47 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:04:12 time: 0.0654 data_time: 0.0172 memory: 736 2022/08/09 00:55:49 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:04:29 time: 0.0701 data_time: 0.0228 memory: 736 2022/08/09 00:55:51 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:08:06 time: 0.1272 data_time: 0.0441 memory: 806 2022/08/09 00:55:53 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:05:12 time: 0.0823 data_time: 0.0231 memory: 806 2022/08/09 00:55:56 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:08:58 time: 0.1425 data_time: 0.0822 memory: 806 2022/08/09 00:55:57 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:04:16 time: 0.0681 data_time: 0.0110 memory: 806 2022/08/09 00:55:59 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:07:04 time: 0.1134 data_time: 0.0566 memory: 806 2022/08/09 00:56:02 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:09:26 time: 0.1521 data_time: 0.0945 memory: 806 2022/08/09 00:56:07 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:15:04 time: 0.2443 data_time: 0.1850 memory: 806 2022/08/09 00:56:10 - mmengine - INFO - Epoch(val) [7][2600/6282] eta: 0:08:05 time: 0.1320 data_time: 0.0742 memory: 806 2022/08/09 00:56:14 - mmengine - INFO - Epoch(val) [7][2620/6282] eta: 0:11:39 time: 0.1909 data_time: 0.1308 memory: 806 2022/08/09 00:56:16 - mmengine - INFO - Epoch(val) [7][2640/6282] eta: 0:07:07 time: 0.1174 data_time: 0.0595 memory: 806 2022/08/09 00:56:18 - mmengine - INFO - Epoch(val) [7][2660/6282] eta: 0:04:42 time: 0.0779 data_time: 0.0062 memory: 899 2022/08/09 00:56:19 - mmengine - INFO - Epoch(val) [7][2680/6282] eta: 0:04:36 time: 0.0767 data_time: 0.0072 memory: 899 2022/08/09 00:56:21 - mmengine - INFO - Epoch(val) [7][2700/6282] eta: 0:04:45 time: 0.0798 data_time: 0.0054 memory: 899 2022/08/09 00:56:22 - mmengine - INFO - Epoch(val) [7][2720/6282] eta: 0:04:36 time: 0.0777 data_time: 0.0065 memory: 899 2022/08/09 00:56:24 - mmengine - INFO - Epoch(val) [7][2740/6282] eta: 0:04:04 time: 0.0689 data_time: 0.0052 memory: 899 2022/08/09 00:56:25 - mmengine - INFO - Epoch(val) [7][2760/6282] eta: 0:03:06 time: 0.0528 data_time: 0.0043 memory: 741 2022/08/09 00:56:26 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:02:58 time: 0.0511 data_time: 0.0039 memory: 741 2022/08/09 00:56:27 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:03:25 time: 0.0591 data_time: 0.0053 memory: 741 2022/08/09 00:56:28 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:03:42 time: 0.0644 data_time: 0.0148 memory: 741 2022/08/09 00:56:29 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:03:06 time: 0.0541 data_time: 0.0043 memory: 741 2022/08/09 00:56:32 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:06:02 time: 0.1059 data_time: 0.0343 memory: 806 2022/08/09 00:56:33 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:05:23 time: 0.0951 data_time: 0.0352 memory: 806 2022/08/09 00:56:35 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:04:35 time: 0.0816 data_time: 0.0208 memory: 806 2022/08/09 00:56:36 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:03:03 time: 0.0545 data_time: 0.0029 memory: 806 2022/08/09 00:56:37 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:02:52 time: 0.0517 data_time: 0.0041 memory: 769 2022/08/09 00:56:38 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:02:59 time: 0.0540 data_time: 0.0054 memory: 769 2022/08/09 00:56:39 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:02:50 time: 0.0517 data_time: 0.0038 memory: 769 2022/08/09 00:56:40 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:03:05 time: 0.0566 data_time: 0.0038 memory: 769 2022/08/09 00:56:42 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:03:06 time: 0.0570 data_time: 0.0033 memory: 806 2022/08/09 00:56:43 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:03:12 time: 0.0594 data_time: 0.0041 memory: 806 2022/08/09 00:56:44 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:03:13 time: 0.0602 data_time: 0.0055 memory: 806 2022/08/09 00:56:45 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:03:04 time: 0.0576 data_time: 0.0040 memory: 806 2022/08/09 00:56:46 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:03:07 time: 0.0590 data_time: 0.0053 memory: 806 2022/08/09 00:56:47 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:02:54 time: 0.0551 data_time: 0.0043 memory: 741 2022/08/09 00:56:49 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:03:00 time: 0.0575 data_time: 0.0051 memory: 741 2022/08/09 00:56:51 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:05:34 time: 0.1072 data_time: 0.0380 memory: 741 2022/08/09 00:56:52 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:03:02 time: 0.0588 data_time: 0.0042 memory: 741 2022/08/09 00:56:54 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:04:12 time: 0.0819 data_time: 0.0242 memory: 806 2022/08/09 00:56:55 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:04:30 time: 0.0883 data_time: 0.0267 memory: 806 2022/08/09 00:56:57 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:03:59 time: 0.0789 data_time: 0.0150 memory: 806 2022/08/09 00:56:58 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:03:42 time: 0.0736 data_time: 0.0137 memory: 806 2022/08/09 00:57:00 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:03:06 time: 0.0622 data_time: 0.0041 memory: 806 2022/08/09 00:57:01 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:03:11 time: 0.0643 data_time: 0.0063 memory: 806 2022/08/09 00:57:02 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:03:08 time: 0.0635 data_time: 0.0050 memory: 806 2022/08/09 00:57:04 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:03:01 time: 0.0616 data_time: 0.0040 memory: 806 2022/08/09 00:57:05 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:03:05 time: 0.0634 data_time: 0.0051 memory: 806 2022/08/09 00:57:06 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:02:53 time: 0.0599 data_time: 0.0050 memory: 806 2022/08/09 00:57:08 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:03:52 time: 0.0806 data_time: 0.0069 memory: 736 2022/08/09 00:57:09 - mmengine - INFO - Epoch(val) [7][3420/6282] eta: 0:02:38 time: 0.0552 data_time: 0.0045 memory: 736 2022/08/09 00:57:10 - mmengine - INFO - Epoch(val) [7][3440/6282] eta: 0:02:39 time: 0.0561 data_time: 0.0058 memory: 736 2022/08/09 00:57:11 - mmengine - INFO - Epoch(val) [7][3460/6282] eta: 0:02:34 time: 0.0546 data_time: 0.0054 memory: 736 2022/08/09 00:57:12 - mmengine - INFO - Epoch(val) [7][3480/6282] eta: 0:02:29 time: 0.0534 data_time: 0.0036 memory: 736 2022/08/09 00:57:13 - mmengine - INFO - Epoch(val) [7][3500/6282] eta: 0:02:15 time: 0.0488 data_time: 0.0030 memory: 736 2022/08/09 00:57:14 - mmengine - INFO - Epoch(val) [7][3520/6282] eta: 0:02:10 time: 0.0473 data_time: 0.0040 memory: 736 2022/08/09 00:57:15 - mmengine - INFO - Epoch(val) [7][3540/6282] eta: 0:02:13 time: 0.0486 data_time: 0.0031 memory: 736 2022/08/09 00:57:16 - mmengine - INFO - Epoch(val) [7][3560/6282] eta: 0:02:15 time: 0.0499 data_time: 0.0042 memory: 736 2022/08/09 00:57:17 - mmengine - INFO - Epoch(val) [7][3580/6282] eta: 0:02:22 time: 0.0527 data_time: 0.0038 memory: 786 2022/08/09 00:57:19 - mmengine - INFO - Epoch(val) [7][3600/6282] eta: 0:04:11 time: 0.0938 data_time: 0.0146 memory: 786 2022/08/09 00:57:20 - mmengine - INFO - Epoch(val) [7][3620/6282] eta: 0:02:31 time: 0.0568 data_time: 0.0038 memory: 786 2022/08/09 00:57:21 - mmengine - INFO - Epoch(val) [7][3640/6282] eta: 0:02:32 time: 0.0579 data_time: 0.0068 memory: 786 2022/08/09 00:57:22 - mmengine - INFO - Epoch(val) [7][3660/6282] eta: 0:02:33 time: 0.0587 data_time: 0.0044 memory: 786 2022/08/09 00:57:24 - mmengine - INFO - Epoch(val) [7][3680/6282] eta: 0:02:51 time: 0.0659 data_time: 0.0051 memory: 806 2022/08/09 00:57:26 - mmengine - INFO - Epoch(val) [7][3700/6282] eta: 0:03:54 time: 0.0908 data_time: 0.0304 memory: 806 2022/08/09 00:57:28 - mmengine - INFO - Epoch(val) [7][3720/6282] eta: 0:04:23 time: 0.1029 data_time: 0.0420 memory: 806 2022/08/09 00:57:29 - mmengine - INFO - Epoch(val) [7][3740/6282] eta: 0:03:46 time: 0.0890 data_time: 0.0300 memory: 806 2022/08/09 00:57:32 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:04:36 time: 0.1097 data_time: 0.0239 memory: 806 2022/08/09 00:57:33 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:03:16 time: 0.0786 data_time: 0.0153 memory: 806 2022/08/09 00:57:35 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:03:54 time: 0.0946 data_time: 0.0340 memory: 806 2022/08/09 00:57:38 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:05:03 time: 0.1232 data_time: 0.0642 memory: 806 2022/08/09 00:57:39 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:03:02 time: 0.0748 data_time: 0.0188 memory: 806 2022/08/09 00:57:41 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:04:11 time: 0.1039 data_time: 0.0415 memory: 806 2022/08/09 00:57:43 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:04:13 time: 0.1057 data_time: 0.0459 memory: 806 2022/08/09 00:57:45 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:02:52 time: 0.0726 data_time: 0.0140 memory: 806 2022/08/09 00:57:46 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:03:19 time: 0.0843 data_time: 0.0248 memory: 806 2022/08/09 00:57:48 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:03:43 time: 0.0956 data_time: 0.0373 memory: 806 2022/08/09 00:57:50 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:03:04 time: 0.0794 data_time: 0.0197 memory: 806 2022/08/09 00:57:52 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:03:19 time: 0.0868 data_time: 0.0038 memory: 806 2022/08/09 00:57:53 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:02:26 time: 0.0641 data_time: 0.0050 memory: 806 2022/08/09 00:57:54 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:02:21 time: 0.0625 data_time: 0.0059 memory: 806 2022/08/09 00:57:55 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:02:15 time: 0.0604 data_time: 0.0036 memory: 899 2022/08/09 00:57:57 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:02:32 time: 0.0687 data_time: 0.0044 memory: 899 2022/08/09 00:57:58 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:02:30 time: 0.0685 data_time: 0.0041 memory: 899 2022/08/09 00:58:00 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:02:31 time: 0.0693 data_time: 0.0048 memory: 899 2022/08/09 00:58:01 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:02:31 time: 0.0701 data_time: 0.0044 memory: 899 2022/08/09 00:58:02 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:02:19 time: 0.0652 data_time: 0.0046 memory: 899 2022/08/09 00:58:03 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:01:56 time: 0.0547 data_time: 0.0052 memory: 736 2022/08/09 00:58:04 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:01:52 time: 0.0533 data_time: 0.0041 memory: 736 2022/08/09 00:58:06 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:01:55 time: 0.0557 data_time: 0.0051 memory: 736 2022/08/09 00:58:07 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:01:54 time: 0.0557 data_time: 0.0046 memory: 736 2022/08/09 00:58:08 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:02:21 time: 0.0693 data_time: 0.0205 memory: 736 2022/08/09 00:58:09 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:01:49 time: 0.0541 data_time: 0.0029 memory: 735 2022/08/09 00:58:10 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:01:49 time: 0.0549 data_time: 0.0058 memory: 735 2022/08/09 00:58:12 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:02:17 time: 0.0695 data_time: 0.0051 memory: 735 2022/08/09 00:58:13 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:01:48 time: 0.0555 data_time: 0.0067 memory: 735 2022/08/09 00:58:14 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:01:55 time: 0.0594 data_time: 0.0110 memory: 735 2022/08/09 00:58:15 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:01:53 time: 0.0589 data_time: 0.0044 memory: 806 2022/08/09 00:58:16 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:01:52 time: 0.0591 data_time: 0.0038 memory: 806 2022/08/09 00:58:18 - mmengine - INFO - Epoch(val) [7][4400/6282] eta: 0:01:49 time: 0.0581 data_time: 0.0037 memory: 806 2022/08/09 00:58:19 - mmengine - INFO - Epoch(val) [7][4420/6282] eta: 0:01:54 time: 0.0614 data_time: 0.0048 memory: 806 2022/08/09 00:58:20 - mmengine - INFO - Epoch(val) [7][4440/6282] eta: 0:01:58 time: 0.0641 data_time: 0.0042 memory: 814 2022/08/09 00:58:21 - mmengine - INFO - Epoch(val) [7][4460/6282] eta: 0:01:53 time: 0.0625 data_time: 0.0045 memory: 814 2022/08/09 00:58:23 - mmengine - INFO - Epoch(val) [7][4480/6282] eta: 0:01:52 time: 0.0627 data_time: 0.0046 memory: 814 2022/08/09 00:58:24 - mmengine - INFO - Epoch(val) [7][4500/6282] eta: 0:01:50 time: 0.0618 data_time: 0.0051 memory: 814 2022/08/09 00:58:25 - mmengine - INFO - Epoch(val) [7][4520/6282] eta: 0:01:46 time: 0.0602 data_time: 0.0043 memory: 814 2022/08/09 00:58:26 - mmengine - INFO - Epoch(val) [7][4540/6282] eta: 0:01:33 time: 0.0539 data_time: 0.0048 memory: 742 2022/08/09 00:58:27 - 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mmengine - INFO - Epoch(val) [7][4920/6282] eta: 0:01:24 time: 0.0619 data_time: 0.0042 memory: 809 2022/08/09 00:58:52 - mmengine - INFO - Epoch(val) [7][4940/6282] eta: 0:01:59 time: 0.0888 data_time: 0.0044 memory: 809 2022/08/09 00:58:53 - mmengine - INFO - Epoch(val) [7][4960/6282] eta: 0:01:24 time: 0.0638 data_time: 0.0049 memory: 809 2022/08/09 00:58:54 - mmengine - INFO - Epoch(val) [7][4980/6282] eta: 0:01:22 time: 0.0632 data_time: 0.0052 memory: 809 2022/08/09 00:58:55 - mmengine - INFO - Epoch(val) [7][5000/6282] eta: 0:01:19 time: 0.0621 data_time: 0.0053 memory: 809 2022/08/09 00:58:57 - mmengine - INFO - Epoch(val) [7][5020/6282] eta: 0:01:15 time: 0.0596 data_time: 0.0053 memory: 809 2022/08/09 00:58:58 - mmengine - INFO - Epoch(val) [7][5040/6282] eta: 0:01:04 time: 0.0523 data_time: 0.0053 memory: 741 2022/08/09 00:58:59 - mmengine - INFO - Epoch(val) [7][5060/6282] eta: 0:01:06 time: 0.0546 data_time: 0.0046 memory: 741 2022/08/09 00:59:00 - mmengine - INFO - Epoch(val) [7][5080/6282] eta: 0:01:05 time: 0.0548 data_time: 0.0047 memory: 741 2022/08/09 00:59:01 - 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mmengine - INFO - Epoch(val) [7][5280/6282] eta: 0:01:21 time: 0.0814 data_time: 0.0056 memory: 735 2022/08/09 00:59:13 - mmengine - INFO - Epoch(val) [7][5300/6282] eta: 0:00:53 time: 0.0541 data_time: 0.0052 memory: 735 2022/08/09 00:59:14 - mmengine - INFO - Epoch(val) [7][5320/6282] eta: 0:00:52 time: 0.0548 data_time: 0.0054 memory: 736 2022/08/09 00:59:15 - mmengine - INFO - Epoch(val) [7][5340/6282] eta: 0:00:52 time: 0.0562 data_time: 0.0046 memory: 736 2022/08/09 00:59:16 - mmengine - INFO - Epoch(val) [7][5360/6282] eta: 0:00:49 time: 0.0537 data_time: 0.0044 memory: 736 2022/08/09 00:59:17 - mmengine - INFO - Epoch(val) [7][5380/6282] eta: 0:00:47 time: 0.0529 data_time: 0.0069 memory: 736 2022/08/09 00:59:18 - mmengine - INFO - Epoch(val) [7][5400/6282] eta: 0:00:54 time: 0.0622 data_time: 0.0132 memory: 736 2022/08/09 00:59:19 - mmengine - INFO - Epoch(val) [7][5420/6282] eta: 0:00:46 time: 0.0543 data_time: 0.0039 memory: 736 2022/08/09 00:59:21 - mmengine - INFO - Epoch(val) [7][5440/6282] eta: 0:00:48 time: 0.0573 data_time: 0.0069 memory: 736 2022/08/09 00:59:22 - mmengine - INFO - Epoch(val) [7][5460/6282] eta: 0:00:45 time: 0.0554 data_time: 0.0048 memory: 736 2022/08/09 00:59:23 - mmengine - INFO - Epoch(val) [7][5480/6282] eta: 0:00:44 time: 0.0555 data_time: 0.0047 memory: 736 2022/08/09 00:59:24 - mmengine - INFO - Epoch(val) [7][5500/6282] eta: 0:00:40 time: 0.0523 data_time: 0.0047 memory: 736 2022/08/09 00:59:25 - mmengine - INFO - Epoch(val) [7][5520/6282] eta: 0:00:59 time: 0.0783 data_time: 0.0039 memory: 761 2022/08/09 00:59:27 - mmengine - INFO - Epoch(val) [7][5540/6282] eta: 0:00:41 time: 0.0563 data_time: 0.0048 memory: 761 2022/08/09 00:59:28 - mmengine - INFO - Epoch(val) [7][5560/6282] eta: 0:00:45 time: 0.0629 data_time: 0.0103 memory: 761 2022/08/09 00:59:29 - mmengine - INFO - Epoch(val) [7][5580/6282] eta: 0:00:39 time: 0.0556 data_time: 0.0048 memory: 761 2022/08/09 00:59:30 - mmengine - INFO - Epoch(val) [7][5600/6282] eta: 0:00:48 time: 0.0706 data_time: 0.0192 memory: 761 2022/08/09 00:59:32 - mmengine - INFO - Epoch(val) [7][5620/6282] eta: 0:00:37 time: 0.0567 data_time: 0.0054 memory: 761 2022/08/09 00:59:33 - mmengine - INFO - Epoch(val) [7][5640/6282] eta: 0:00:34 time: 0.0541 data_time: 0.0071 memory: 736 2022/08/09 00:59:34 - mmengine - INFO - Epoch(val) [7][5660/6282] eta: 0:00:33 time: 0.0533 data_time: 0.0057 memory: 736 2022/08/09 00:59:35 - mmengine - INFO - Epoch(val) [7][5680/6282] eta: 0:00:33 time: 0.0563 data_time: 0.0059 memory: 736 2022/08/09 00:59:36 - mmengine - INFO - Epoch(val) [7][5700/6282] eta: 0:00:33 time: 0.0571 data_time: 0.0090 memory: 736 2022/08/09 00:59:37 - mmengine - INFO - Epoch(val) [7][5720/6282] eta: 0:00:29 time: 0.0528 data_time: 0.0046 memory: 777 2022/08/09 00:59:38 - mmengine - INFO - Epoch(val) [7][5740/6282] eta: 0:00:29 time: 0.0544 data_time: 0.0036 memory: 777 2022/08/09 00:59:40 - mmengine - INFO - Epoch(val) [7][5760/6282] eta: 0:00:42 time: 0.0818 data_time: 0.0049 memory: 777 2022/08/09 00:59:41 - mmengine - INFO - Epoch(val) [7][5780/6282] eta: 0:00:27 time: 0.0544 data_time: 0.0041 memory: 777 2022/08/09 00:59:42 - mmengine - INFO - Epoch(val) [7][5800/6282] eta: 0:00:26 time: 0.0542 data_time: 0.0037 memory: 777 2022/08/09 00:59:43 - mmengine - INFO - Epoch(val) [7][5820/6282] eta: 0:00:26 time: 0.0566 data_time: 0.0038 memory: 777 2022/08/09 00:59:44 - mmengine - INFO - Epoch(val) [7][5840/6282] eta: 0:00:25 time: 0.0574 data_time: 0.0057 memory: 761 2022/08/09 00:59:45 - mmengine - INFO - Epoch(val) [7][5860/6282] eta: 0:00:24 time: 0.0591 data_time: 0.0047 memory: 761 2022/08/09 00:59:47 - mmengine - INFO - Epoch(val) [7][5880/6282] eta: 0:00:24 time: 0.0602 data_time: 0.0098 memory: 761 2022/08/09 00:59:48 - mmengine - INFO - Epoch(val) [7][5900/6282] eta: 0:00:23 time: 0.0603 data_time: 0.0050 memory: 761 2022/08/09 00:59:49 - mmengine - INFO - Epoch(val) [7][5920/6282] eta: 0:00:19 time: 0.0541 data_time: 0.0036 memory: 761 2022/08/09 00:59:50 - mmengine - INFO - Epoch(val) [7][5940/6282] eta: 0:00:19 time: 0.0556 data_time: 0.0056 memory: 736 2022/08/09 00:59:52 - mmengine - INFO - Epoch(val) [7][5960/6282] eta: 0:00:25 time: 0.0800 data_time: 0.0048 memory: 736 2022/08/09 00:59:53 - mmengine - INFO - Epoch(val) [7][5980/6282] eta: 0:00:16 time: 0.0554 data_time: 0.0056 memory: 736 2022/08/09 00:59:54 - mmengine - INFO - Epoch(val) [7][6000/6282] eta: 0:00:17 time: 0.0633 data_time: 0.0049 memory: 806 2022/08/09 00:59:55 - mmengine - INFO - Epoch(val) [7][6020/6282] eta: 0:00:16 time: 0.0643 data_time: 0.0050 memory: 806 2022/08/09 00:59:57 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:15 time: 0.0641 data_time: 0.0048 memory: 806 2022/08/09 00:59:58 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:14 time: 0.0640 data_time: 0.0048 memory: 806 2022/08/09 00:59:59 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:12 time: 0.0634 data_time: 0.0051 memory: 806 2022/08/09 01:00:01 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:16 time: 0.0903 data_time: 0.0285 memory: 806 2022/08/09 01:00:03 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:15 time: 0.0957 data_time: 0.0078 memory: 806 2022/08/09 01:00:05 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:14 time: 0.1050 data_time: 0.0441 memory: 806 2022/08/09 01:00:07 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:10 time: 0.0877 data_time: 0.0272 memory: 806 2022/08/09 01:00:09 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:08 time: 0.0865 data_time: 0.0251 memory: 806 2022/08/09 01:00:10 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:04 time: 0.0601 data_time: 0.0043 memory: 806 2022/08/09 01:00:11 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:04 time: 0.0728 data_time: 0.0127 memory: 806 2022/08/09 01:00:12 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:02 time: 0.0595 data_time: 0.0035 memory: 806 2022/08/09 01:00:14 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:01 time: 0.0573 data_time: 0.0038 memory: 806 2022/08/09 01:00:15 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0578 data_time: 0.0034 memory: 806 2022/08/09 01:04:34 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.2542 2022/08/09 01:04:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8/best_mAP/mAP@0.5IOU_epoch_7.pth is removed 2022/08/09 01:04:37 - mmengine - INFO - The best checkpoint with 0.2542 mAP/mAP@0.5IOU at 8 epoch is saved to best_mAP/mAP@0.5IOU_epoch_8.pth. 2022/08/09 01:04:53 - mmengine - INFO - Epoch(train) [8][20/2881] lr: 1.0000e-01 eta: 7:01:27 time: 0.7663 data_time: 0.1548 memory: 13802 grad_norm: 0.1419 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6333 recall@top3: 0.7250 prec@top3: 0.4833 recall@top5: 0.8000 prec@top5: 0.3300 loss_action_cls: 0.0384 loss: 0.0384 2022/08/09 01:05:05 - mmengine - INFO - Epoch(train) [8][40/2881] lr: 1.0000e-01 eta: 7:01:12 time: 0.6286 data_time: 0.0228 memory: 13802 grad_norm: 0.1594 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.8939 recall@top3: 0.8864 prec@top3: 0.7424 recall@top5: 0.9697 prec@top5: 0.5000 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 01:05:18 - mmengine - INFO - Epoch(train) [8][60/2881] lr: 1.0000e-01 eta: 7:00:57 time: 0.6318 data_time: 0.0201 memory: 13802 grad_norm: 0.1463 recall@thr=0.5: 0.6081 prec@thr=0.5: 0.8198 recall@top3: 0.7905 prec@top3: 0.7117 recall@top5: 0.9324 prec@top5: 0.5135 loss_action_cls: 0.0384 loss: 0.0384 2022/08/09 01:05:30 - mmengine - INFO - Epoch(train) [8][80/2881] lr: 1.0000e-01 eta: 7:00:40 time: 0.6050 data_time: 0.0247 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.8485 recall@top3: 0.7992 prec@top3: 0.7424 recall@top5: 0.9318 prec@top5: 0.5182 loss_action_cls: 0.0422 loss: 0.0422 2022/08/09 01:05:43 - mmengine - INFO - Epoch(train) [8][100/2881] lr: 1.0000e-01 eta: 7:00:25 time: 0.6321 data_time: 0.0211 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.6527 prec@thr=0.5: 0.8100 recall@top3: 0.7547 prec@top3: 0.6400 recall@top5: 0.9640 prec@top5: 0.4720 loss_action_cls: 0.0444 loss: 0.0444 2022/08/09 01:05:55 - mmengine - INFO - Epoch(train) [8][120/2881] lr: 1.0000e-01 eta: 7:00:11 time: 0.6401 data_time: 0.0235 memory: 13802 grad_norm: 0.1490 recall@thr=0.5: 0.8075 prec@thr=0.5: 0.7874 recall@top3: 0.8879 prec@top3: 0.6897 recall@top5: 0.9828 prec@top5: 0.4690 loss_action_cls: 0.0408 loss: 0.0408 2022/08/09 01:06:08 - mmengine - INFO - Epoch(train) [8][140/2881] lr: 1.0000e-01 eta: 6:59:56 time: 0.6495 data_time: 0.0215 memory: 13802 grad_norm: 0.1524 recall@thr=0.5: 0.7359 prec@thr=0.5: 0.6562 recall@top3: 0.8010 prec@top3: 0.6562 recall@top5: 0.9432 prec@top5: 0.4812 loss_action_cls: 0.0401 loss: 0.0401 2022/08/09 01:06:22 - mmengine - INFO - Epoch(train) [8][160/2881] lr: 1.0000e-01 eta: 6:59:42 time: 0.6639 data_time: 0.0211 memory: 13802 grad_norm: 0.1705 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.7500 recall@top3: 0.8021 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.4000 loss_action_cls: 0.0415 loss: 0.0415 2022/08/09 01:06:34 - mmengine - INFO - Epoch(train) [8][180/2881] lr: 1.0000e-01 eta: 6:59:26 time: 0.6156 data_time: 0.0228 memory: 13802 grad_norm: 0.1411 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7273 recall@top3: 0.9318 prec@top3: 0.4848 recall@top5: 0.9545 prec@top5: 0.3000 loss_action_cls: 0.0411 loss: 0.0411 2022/08/09 01:06:47 - mmengine - INFO - Epoch(train) [8][200/2881] lr: 1.0000e-01 eta: 6:59:11 time: 0.6305 data_time: 0.0213 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.5950 prec@thr=0.5: 0.5350 recall@top3: 0.6950 prec@top3: 0.5000 recall@top5: 0.8400 prec@top5: 0.3700 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 01:06:59 - mmengine - INFO - Epoch(train) [8][220/2881] lr: 1.0000e-01 eta: 6:58:56 time: 0.6283 data_time: 0.0230 memory: 13802 grad_norm: 0.1529 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.8391 recall@top3: 0.9253 prec@top3: 0.6897 recall@top5: 0.9483 prec@top5: 0.4276 loss_action_cls: 0.0384 loss: 0.0384 2022/08/09 01:07:12 - mmengine - INFO - Epoch(train) [8][240/2881] lr: 1.0000e-01 eta: 6:58:42 time: 0.6516 data_time: 0.0216 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9028 recall@top3: 0.8472 prec@top3: 0.7083 recall@top5: 0.8958 prec@top5: 0.4583 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 01:07:25 - mmengine - INFO - Epoch(train) [8][260/2881] lr: 1.0000e-01 eta: 6:58:27 time: 0.6306 data_time: 0.0219 memory: 13802 grad_norm: 0.1554 recall@thr=0.5: 0.6184 prec@thr=0.5: 0.7368 recall@top3: 0.8684 prec@top3: 0.6491 recall@top5: 0.9123 prec@top5: 0.4211 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 01:07:37 - mmengine - INFO - Epoch(train) [8][280/2881] lr: 1.0000e-01 eta: 6:58:11 time: 0.6158 data_time: 0.0223 memory: 13802 grad_norm: 0.1510 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.6349 recall@top3: 0.7778 prec@top3: 0.5556 recall@top5: 0.9524 prec@top5: 0.3810 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 01:07:50 - mmengine - INFO - Epoch(train) [8][300/2881] lr: 1.0000e-01 eta: 6:57:56 time: 0.6247 data_time: 0.0224 memory: 13802 grad_norm: 0.1552 recall@thr=0.5: 0.6685 prec@thr=0.5: 0.8272 recall@top3: 0.7691 prec@top3: 0.7407 recall@top5: 0.9093 prec@top5: 0.5407 loss_action_cls: 0.0411 loss: 0.0411 2022/08/09 01:08:02 - mmengine - INFO - Epoch(train) [8][320/2881] lr: 1.0000e-01 eta: 6:57:41 time: 0.6333 data_time: 0.0213 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.5719 prec@thr=0.5: 0.7281 recall@top3: 0.7298 prec@top3: 0.7368 recall@top5: 0.8421 prec@top5: 0.5158 loss_action_cls: 0.0381 loss: 0.0381 2022/08/09 01:08:15 - mmengine - INFO - Epoch(train) [8][340/2881] lr: 1.0000e-01 eta: 6:57:26 time: 0.6354 data_time: 0.0237 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.6833 recall@top3: 0.7750 prec@top3: 0.4833 recall@top5: 0.8583 prec@top5: 0.3400 loss_action_cls: 0.0392 loss: 0.0392 2022/08/09 01:08:27 - mmengine - INFO - Epoch(train) [8][360/2881] lr: 1.0000e-01 eta: 6:57:10 time: 0.6142 data_time: 0.0204 memory: 13802 grad_norm: 0.1570 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6296 recall@top3: 0.7593 prec@top3: 0.5556 recall@top5: 0.9815 prec@top5: 0.4111 loss_action_cls: 0.0410 loss: 0.0410 2022/08/09 01:08:40 - mmengine - INFO - Epoch(train) [8][380/2881] lr: 1.0000e-01 eta: 6:56:55 time: 0.6347 data_time: 0.0237 memory: 13802 grad_norm: 0.1607 recall@thr=0.5: 0.7284 prec@thr=0.5: 0.8333 recall@top3: 0.8673 prec@top3: 0.7778 recall@top5: 0.9753 prec@top5: 0.5333 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 01:08:53 - mmengine - INFO - Epoch(train) [8][400/2881] lr: 1.0000e-01 eta: 6:56:40 time: 0.6269 data_time: 0.0256 memory: 13802 grad_norm: 0.1585 recall@thr=0.5: 0.5861 prec@thr=0.5: 0.6611 recall@top3: 0.6778 prec@top3: 0.5778 recall@top5: 0.8833 prec@top5: 0.4400 loss_action_cls: 0.0427 loss: 0.0427 2022/08/09 01:09:05 - mmengine - INFO - Epoch(train) [8][420/2881] lr: 1.0000e-01 eta: 6:56:25 time: 0.6450 data_time: 0.0209 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.7043 prec@thr=0.5: 0.6559 recall@top3: 0.8065 prec@top3: 0.5591 recall@top5: 0.9409 prec@top5: 0.4129 loss_action_cls: 0.0407 loss: 0.0407 2022/08/09 01:09:18 - mmengine - INFO - Epoch(train) [8][440/2881] lr: 1.0000e-01 eta: 6:56:10 time: 0.6159 data_time: 0.0235 memory: 13802 grad_norm: 0.1634 recall@thr=0.5: 0.5874 prec@thr=0.5: 0.6818 recall@top3: 0.6899 prec@top3: 0.6566 recall@top5: 0.8323 prec@top5: 0.4727 loss_action_cls: 0.0482 loss: 0.0482 2022/08/09 01:09:32 - mmengine - INFO - Epoch(train) [8][460/2881] lr: 1.0000e-01 eta: 6:55:57 time: 0.6848 data_time: 0.0246 memory: 13802 grad_norm: 0.1541 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8485 recall@top3: 0.8674 prec@top3: 0.6667 recall@top5: 0.9470 prec@top5: 0.4545 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 01:09:45 - mmengine - INFO - Epoch(train) [8][480/2881] lr: 1.0000e-01 eta: 6:55:42 time: 0.6500 data_time: 0.0225 memory: 13802 grad_norm: 0.1507 recall@thr=0.5: 0.7352 prec@thr=0.5: 0.8593 recall@top3: 0.8176 prec@top3: 0.6667 recall@top5: 0.9593 prec@top5: 0.5111 loss_action_cls: 0.0399 loss: 0.0399 2022/08/09 01:09:58 - mmengine - INFO - Epoch(train) [8][500/2881] lr: 1.0000e-01 eta: 6:55:28 time: 0.6544 data_time: 0.0222 memory: 13802 grad_norm: 0.1525 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8958 recall@top3: 0.8958 prec@top3: 0.7083 recall@top5: 0.9722 prec@top5: 0.4833 loss_action_cls: 0.0465 loss: 0.0465 2022/08/09 01:10:10 - mmengine - INFO - Epoch(train) [8][520/2881] lr: 1.0000e-01 eta: 6:55:12 time: 0.6099 data_time: 0.0266 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.8965 recall@top3: 0.9394 prec@top3: 0.7677 recall@top5: 0.9848 prec@top5: 0.4909 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 01:10:22 - mmengine - INFO - Epoch(train) [8][540/2881] lr: 1.0000e-01 eta: 6:54:57 time: 0.6347 data_time: 0.0205 memory: 13802 grad_norm: 0.1523 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.7917 recall@top3: 0.8258 prec@top3: 0.6818 recall@top5: 0.8864 prec@top5: 0.4455 loss_action_cls: 0.0380 loss: 0.0380 2022/08/09 01:10:35 - mmengine - INFO - Epoch(train) [8][560/2881] lr: 1.0000e-01 eta: 6:54:42 time: 0.6354 data_time: 0.0254 memory: 13802 grad_norm: 0.1467 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8235 recall@top3: 0.8824 prec@top3: 0.5882 recall@top5: 0.9216 prec@top5: 0.3765 loss_action_cls: 0.0339 loss: 0.0339 2022/08/09 01:10:47 - mmengine - INFO - Epoch(train) [8][580/2881] lr: 1.0000e-01 eta: 6:54:26 time: 0.6043 data_time: 0.0213 memory: 13802 grad_norm: 0.1548 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.7333 recall@top3: 0.7708 prec@top3: 0.6667 recall@top5: 0.8708 prec@top5: 0.4500 loss_action_cls: 0.0426 loss: 0.0426 2022/08/09 01:11:00 - mmengine - INFO - Epoch(train) [8][600/2881] lr: 1.0000e-01 eta: 6:54:11 time: 0.6305 data_time: 0.0216 memory: 13802 grad_norm: 0.1497 recall@thr=0.5: 0.6740 prec@thr=0.5: 0.8714 recall@top3: 0.7984 prec@top3: 0.8333 recall@top5: 0.9552 prec@top5: 0.6062 loss_action_cls: 0.0423 loss: 0.0423 2022/08/09 01:11:13 - mmengine - INFO - Epoch(train) [8][620/2881] lr: 1.0000e-01 eta: 6:53:56 time: 0.6320 data_time: 0.0266 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.5894 prec@thr=0.5: 0.6818 recall@top3: 0.6636 prec@top3: 0.5758 recall@top5: 0.8258 prec@top5: 0.4455 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 01:11:26 - mmengine - INFO - Epoch(train) [8][640/2881] lr: 1.0000e-01 eta: 6:53:42 time: 0.6485 data_time: 0.0253 memory: 13802 grad_norm: 0.1497 recall@thr=0.5: 0.5753 prec@thr=0.5: 0.6075 recall@top3: 0.6989 prec@top3: 0.5376 recall@top5: 0.9032 prec@top5: 0.4129 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 01:11:38 - mmengine - INFO - Epoch(train) [8][660/2881] lr: 1.0000e-01 eta: 6:53:26 time: 0.6082 data_time: 0.0198 memory: 13802 grad_norm: 0.1540 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.8500 recall@top3: 0.8417 prec@top3: 0.6500 recall@top5: 0.9000 prec@top5: 0.4300 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 01:11:50 - mmengine - INFO - Epoch(train) [8][680/2881] lr: 1.0000e-01 eta: 6:53:11 time: 0.6304 data_time: 0.0210 memory: 13802 grad_norm: 0.1520 recall@thr=0.5: 0.8493 prec@thr=0.5: 0.8467 recall@top3: 0.8640 prec@top3: 0.7067 recall@top5: 0.9920 prec@top5: 0.5120 loss_action_cls: 0.0429 loss: 0.0429 2022/08/09 01:12:03 - mmengine - INFO - Epoch(train) [8][700/2881] lr: 1.0000e-01 eta: 6:52:56 time: 0.6343 data_time: 0.0216 memory: 13802 grad_norm: 0.1529 recall@thr=0.5: 0.6703 prec@thr=0.5: 0.8116 recall@top3: 0.8659 prec@top3: 0.7681 recall@top5: 0.9638 prec@top5: 0.5304 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 01:12:15 - mmengine - INFO - Epoch(train) [8][720/2881] lr: 1.0000e-01 eta: 6:52:40 time: 0.6065 data_time: 0.0252 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.8494 recall@top3: 0.7885 prec@top3: 0.7179 recall@top5: 0.9359 prec@top5: 0.5231 loss_action_cls: 0.0424 loss: 0.0424 2022/08/09 01:12:28 - mmengine - INFO - Epoch(train) [8][740/2881] lr: 1.0000e-01 eta: 6:52:26 time: 0.6373 data_time: 0.0202 memory: 13802 grad_norm: 0.1605 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9259 recall@top3: 0.9213 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0381 loss: 0.0381 2022/08/09 01:12:40 - mmengine - INFO - Epoch(train) [8][760/2881] lr: 1.0000e-01 eta: 6:52:10 time: 0.6112 data_time: 0.0225 memory: 13802 grad_norm: 0.1592 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.8988 recall@top3: 0.8542 prec@top3: 0.7857 recall@top5: 0.9792 prec@top5: 0.5571 loss_action_cls: 0.0433 loss: 0.0433 2022/08/09 01:12:53 - mmengine - INFO - Epoch(train) [8][780/2881] lr: 1.0000e-01 eta: 6:51:55 time: 0.6283 data_time: 0.0239 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.4683 prec@thr=0.5: 0.5238 recall@top3: 0.6286 prec@top3: 0.5079 recall@top5: 0.9048 prec@top5: 0.4190 loss_action_cls: 0.0478 loss: 0.0478 2022/08/09 01:13:05 - mmengine - INFO - Epoch(train) [8][800/2881] lr: 1.0000e-01 eta: 6:51:40 time: 0.6417 data_time: 0.0244 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8529 recall@top3: 0.8824 prec@top3: 0.7059 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 01:13:18 - mmengine - INFO - Epoch(train) [8][820/2881] lr: 1.0000e-01 eta: 6:51:24 time: 0.6041 data_time: 0.0219 memory: 13802 grad_norm: 0.1617 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.6667 recall@top3: 0.9167 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.3619 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 01:13:26 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 01:13:30 - mmengine - INFO - Epoch(train) [8][840/2881] lr: 1.0000e-01 eta: 6:51:10 time: 0.6398 data_time: 0.0270 memory: 13802 grad_norm: 0.1450 recall@thr=0.5: 0.6467 prec@thr=0.5: 0.9067 recall@top3: 0.8200 prec@top3: 0.6667 recall@top5: 0.9533 prec@top5: 0.4800 loss_action_cls: 0.0401 loss: 0.0401 2022/08/09 01:13:43 - mmengine - INFO - Epoch(train) [8][860/2881] lr: 1.0000e-01 eta: 6:50:55 time: 0.6374 data_time: 0.0208 memory: 13802 grad_norm: 0.1599 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8130 recall@top3: 0.8056 prec@top3: 0.5741 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 01:13:56 - mmengine - INFO - Epoch(train) [8][880/2881] lr: 1.0000e-01 eta: 6:50:40 time: 0.6374 data_time: 0.0239 memory: 13802 grad_norm: 0.1613 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8158 recall@top3: 0.7895 prec@top3: 0.7018 recall@top5: 0.9035 prec@top5: 0.5158 loss_action_cls: 0.0381 loss: 0.0381 2022/08/09 01:14:08 - mmengine - INFO - Epoch(train) [8][900/2881] lr: 1.0000e-01 eta: 6:50:25 time: 0.6200 data_time: 0.0218 memory: 13802 grad_norm: 0.1590 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.5617 recall@top3: 0.7809 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4074 loss_action_cls: 0.0441 loss: 0.0441 2022/08/09 01:14:21 - mmengine - INFO - Epoch(train) [8][920/2881] lr: 1.0000e-01 eta: 6:50:10 time: 0.6387 data_time: 0.0222 memory: 13802 grad_norm: 0.1451 recall@thr=0.5: 0.6518 prec@thr=0.5: 0.6905 recall@top3: 0.7976 prec@top3: 0.7024 recall@top5: 0.9137 prec@top5: 0.5071 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 01:14:34 - mmengine - INFO - Epoch(train) [8][940/2881] lr: 1.0000e-01 eta: 6:49:55 time: 0.6363 data_time: 0.0227 memory: 13802 grad_norm: 0.1544 recall@thr=0.5: 0.8458 prec@thr=0.5: 0.7667 recall@top3: 0.9250 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4000 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 01:14:46 - mmengine - INFO - Epoch(train) [8][960/2881] lr: 1.0000e-01 eta: 6:49:40 time: 0.6125 data_time: 0.0230 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.5648 recall@top3: 0.7222 prec@top3: 0.4630 recall@top5: 0.8889 prec@top5: 0.3222 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 01:14:59 - mmengine - INFO - Epoch(train) [8][980/2881] lr: 1.0000e-01 eta: 6:49:25 time: 0.6316 data_time: 0.0251 memory: 13802 grad_norm: 0.1496 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9444 recall@top3: 0.8519 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5444 loss_action_cls: 0.0424 loss: 0.0424 2022/08/09 01:15:11 - mmengine - INFO - Epoch(train) [8][1000/2881] lr: 1.0000e-01 eta: 6:49:09 time: 0.6172 data_time: 0.0208 memory: 13802 grad_norm: 0.1546 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8657 recall@top3: 0.8565 prec@top3: 0.6852 recall@top5: 0.9722 prec@top5: 0.4778 loss_action_cls: 0.0416 loss: 0.0416 2022/08/09 01:15:24 - mmengine - INFO - Epoch(train) [8][1020/2881] lr: 1.0000e-01 eta: 6:48:55 time: 0.6324 data_time: 0.0214 memory: 13802 grad_norm: 0.1524 recall@thr=0.5: 0.7233 prec@thr=0.5: 0.7133 recall@top3: 0.7133 prec@top3: 0.5733 recall@top5: 0.9533 prec@top5: 0.4560 loss_action_cls: 0.0394 loss: 0.0394 2022/08/09 01:15:36 - mmengine - INFO - Epoch(train) [8][1040/2881] lr: 1.0000e-01 eta: 6:48:39 time: 0.6107 data_time: 0.0221 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.9286 recall@top3: 0.7810 prec@top3: 0.8952 recall@top5: 0.9595 prec@top5: 0.6629 loss_action_cls: 0.0425 loss: 0.0425 2022/08/09 01:15:48 - mmengine - INFO - Epoch(train) [8][1060/2881] lr: 1.0000e-01 eta: 6:48:23 time: 0.6131 data_time: 0.0226 memory: 13802 grad_norm: 0.1498 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.7812 recall@top3: 0.8161 prec@top3: 0.6354 recall@top5: 0.9448 prec@top5: 0.4562 loss_action_cls: 0.0449 loss: 0.0449 2022/08/09 01:16:01 - mmengine - INFO - Epoch(train) [8][1080/2881] lr: 1.0000e-01 eta: 6:48:09 time: 0.6363 data_time: 0.0214 memory: 13802 grad_norm: 0.1595 recall@thr=0.5: 0.6420 prec@thr=0.5: 0.6728 recall@top3: 0.7901 prec@top3: 0.6420 recall@top5: 0.9444 prec@top5: 0.4593 loss_action_cls: 0.0396 loss: 0.0396 2022/08/09 01:16:14 - mmengine - INFO - Epoch(train) [8][1100/2881] lr: 1.0000e-01 eta: 6:47:54 time: 0.6335 data_time: 0.0237 memory: 13802 grad_norm: 0.1445 recall@thr=0.5: 0.6720 prec@thr=0.5: 0.8548 recall@top3: 0.7661 prec@top3: 0.6559 recall@top5: 0.9462 prec@top5: 0.4903 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 01:16:26 - mmengine - INFO - Epoch(train) [8][1120/2881] lr: 1.0000e-01 eta: 6:47:39 time: 0.6297 data_time: 0.0215 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8944 recall@top3: 0.9537 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0423 loss: 0.0423 2022/08/09 01:16:39 - mmengine - INFO - Epoch(train) [8][1140/2881] lr: 1.0000e-01 eta: 6:47:24 time: 0.6213 data_time: 0.0214 memory: 13802 grad_norm: 0.1548 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.7538 recall@top3: 0.8409 prec@top3: 0.8030 recall@top5: 0.9659 prec@top5: 0.5636 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 01:16:51 - mmengine - INFO - Epoch(train) [8][1160/2881] lr: 1.0000e-01 eta: 6:47:09 time: 0.6266 data_time: 0.0220 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.6587 recall@top3: 0.8093 prec@top3: 0.6000 recall@top5: 0.9120 prec@top5: 0.4240 loss_action_cls: 0.0418 loss: 0.0418 2022/08/09 01:17:04 - mmengine - INFO - Epoch(train) [8][1180/2881] lr: 1.0000e-01 eta: 6:46:54 time: 0.6338 data_time: 0.0211 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.9565 recall@top3: 0.9094 prec@top3: 0.7826 recall@top5: 0.9493 prec@top5: 0.4957 loss_action_cls: 0.0367 loss: 0.0367 2022/08/09 01:17:16 - mmengine - INFO - Epoch(train) [8][1200/2881] lr: 1.0000e-01 eta: 6:46:38 time: 0.6153 data_time: 0.0220 memory: 13802 grad_norm: 0.1511 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.8382 recall@top3: 0.8843 prec@top3: 0.7843 recall@top5: 0.9618 prec@top5: 0.5294 loss_action_cls: 0.0362 loss: 0.0362 2022/08/09 01:17:28 - mmengine - INFO - Epoch(train) [8][1220/2881] lr: 1.0000e-01 eta: 6:46:23 time: 0.6104 data_time: 0.0223 memory: 13802 grad_norm: 0.1571 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.8849 recall@top3: 0.8333 prec@top3: 0.8254 recall@top5: 0.9563 prec@top5: 0.5810 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 01:17:41 - mmengine - INFO - Epoch(train) [8][1240/2881] lr: 1.0000e-01 eta: 6:46:08 time: 0.6436 data_time: 0.0222 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.8733 prec@thr=0.5: 0.8800 recall@top3: 0.8733 prec@top3: 0.7067 recall@top5: 0.9333 prec@top5: 0.4640 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 01:17:54 - mmengine - INFO - Epoch(train) [8][1260/2881] lr: 1.0000e-01 eta: 6:45:53 time: 0.6301 data_time: 0.0221 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7292 recall@top3: 0.7583 prec@top3: 0.6167 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0451 loss: 0.0451 2022/08/09 01:18:06 - mmengine - INFO - Epoch(train) [8][1280/2881] lr: 1.0000e-01 eta: 6:45:38 time: 0.6091 data_time: 0.0223 memory: 13802 grad_norm: 0.1589 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6597 recall@top3: 0.6736 prec@top3: 0.5556 recall@top5: 0.8646 prec@top5: 0.4500 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 01:18:19 - mmengine - INFO - Epoch(train) [8][1300/2881] lr: 1.0000e-01 eta: 6:45:23 time: 0.6308 data_time: 0.0224 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8056 recall@top3: 0.8532 prec@top3: 0.6984 recall@top5: 0.9365 prec@top5: 0.4762 loss_action_cls: 0.0438 loss: 0.0438 2022/08/09 01:18:31 - mmengine - INFO - Epoch(train) [8][1320/2881] lr: 1.0000e-01 eta: 6:45:09 time: 0.6430 data_time: 0.0214 memory: 13802 grad_norm: 0.1449 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8810 recall@top3: 0.9127 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0415 loss: 0.0415 2022/08/09 01:18:45 - mmengine - INFO - Epoch(train) [8][1340/2881] lr: 1.0000e-01 eta: 6:44:55 time: 0.6562 data_time: 0.0226 memory: 13802 grad_norm: 0.1596 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7937 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0434 loss: 0.0434 2022/08/09 01:18:57 - mmengine - INFO - Epoch(train) [8][1360/2881] lr: 1.0000e-01 eta: 6:44:40 time: 0.6303 data_time: 0.0231 memory: 13802 grad_norm: 0.1455 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.7917 recall@top3: 0.8833 prec@top3: 0.7833 recall@top5: 0.9500 prec@top5: 0.5200 loss_action_cls: 0.0349 loss: 0.0349 2022/08/09 01:19:09 - mmengine - INFO - Epoch(train) [8][1380/2881] lr: 1.0000e-01 eta: 6:44:24 time: 0.6085 data_time: 0.0225 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.6882 prec@thr=0.5: 0.7647 recall@top3: 0.7980 prec@top3: 0.5490 recall@top5: 0.9078 prec@top5: 0.3882 loss_action_cls: 0.0408 loss: 0.0408 2022/08/09 01:19:22 - mmengine - INFO - Epoch(train) [8][1400/2881] lr: 1.0000e-01 eta: 6:44:09 time: 0.6356 data_time: 0.0241 memory: 13802 grad_norm: 0.1544 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9550 recall@top3: 0.8875 prec@top3: 0.8833 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0412 loss: 0.0412 2022/08/09 01:19:35 - mmengine - INFO - Epoch(train) [8][1420/2881] lr: 1.0000e-01 eta: 6:43:55 time: 0.6320 data_time: 0.0220 memory: 13802 grad_norm: 0.1608 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.8623 recall@top3: 0.7681 prec@top3: 0.6522 recall@top5: 0.9565 prec@top5: 0.4957 loss_action_cls: 0.0435 loss: 0.0435 2022/08/09 01:19:47 - mmengine - INFO - Epoch(train) [8][1440/2881] lr: 1.0000e-01 eta: 6:43:40 time: 0.6287 data_time: 0.0212 memory: 13802 grad_norm: 0.1669 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8333 recall@top3: 0.9683 prec@top3: 0.7302 recall@top5: 0.9841 prec@top5: 0.4476 loss_action_cls: 0.0361 loss: 0.0361 2022/08/09 01:20:00 - mmengine - INFO - Epoch(train) [8][1460/2881] lr: 1.0000e-01 eta: 6:43:25 time: 0.6458 data_time: 0.0276 memory: 13802 grad_norm: 0.1622 recall@thr=0.5: 0.7030 prec@thr=0.5: 0.7727 recall@top3: 0.7364 prec@top3: 0.6364 recall@top5: 0.8341 prec@top5: 0.4273 loss_action_cls: 0.0452 loss: 0.0452 2022/08/09 01:20:12 - mmengine - INFO - Epoch(train) [8][1480/2881] lr: 1.0000e-01 eta: 6:43:10 time: 0.6051 data_time: 0.0259 memory: 13802 grad_norm: 0.1574 recall@thr=0.5: 0.9067 prec@thr=0.5: 0.8267 recall@top3: 0.9467 prec@top3: 0.7333 recall@top5: 0.9600 prec@top5: 0.4480 loss_action_cls: 0.0386 loss: 0.0386 2022/08/09 01:20:25 - mmengine - INFO - Epoch(train) [8][1500/2881] lr: 1.0000e-01 eta: 6:42:55 time: 0.6303 data_time: 0.0227 memory: 13802 grad_norm: 0.1516 recall@thr=0.5: 0.6161 prec@thr=0.5: 0.7471 recall@top3: 0.7655 prec@top3: 0.7816 recall@top5: 0.8885 prec@top5: 0.5517 loss_action_cls: 0.0405 loss: 0.0405 2022/08/09 01:20:37 - mmengine - INFO - Epoch(train) [8][1520/2881] lr: 1.0000e-01 eta: 6:42:39 time: 0.6078 data_time: 0.0210 memory: 13802 grad_norm: 0.1493 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7619 recall@top3: 0.7897 prec@top3: 0.6825 recall@top5: 0.9365 prec@top5: 0.5143 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 01:20:49 - mmengine - INFO - Epoch(train) [8][1540/2881] lr: 1.0000e-01 eta: 6:42:24 time: 0.6154 data_time: 0.0216 memory: 13802 grad_norm: 0.1669 recall@thr=0.5: 0.7458 prec@thr=0.5: 0.8333 recall@top3: 0.8344 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4625 loss_action_cls: 0.0447 loss: 0.0447 2022/08/09 01:21:02 - mmengine - INFO - Epoch(train) [8][1560/2881] lr: 1.0000e-01 eta: 6:42:09 time: 0.6366 data_time: 0.0219 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8220 recall@top3: 0.7402 prec@top3: 0.7121 recall@top5: 0.9621 prec@top5: 0.5727 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 01:21:15 - mmengine - INFO - Epoch(train) [8][1580/2881] lr: 1.0000e-01 eta: 6:41:55 time: 0.6441 data_time: 0.0223 memory: 13802 grad_norm: 0.1423 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8590 recall@top3: 0.8654 prec@top3: 0.6667 recall@top5: 0.8942 prec@top5: 0.4231 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 01:21:27 - mmengine - INFO - Epoch(train) [8][1600/2881] lr: 1.0000e-01 eta: 6:41:39 time: 0.6048 data_time: 0.0224 memory: 13802 grad_norm: 0.1557 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7817 recall@top3: 0.8056 prec@top3: 0.6508 recall@top5: 0.8730 prec@top5: 0.4286 loss_action_cls: 0.0421 loss: 0.0421 2022/08/09 01:21:40 - mmengine - INFO - Epoch(train) [8][1620/2881] lr: 1.0000e-01 eta: 6:41:25 time: 0.6362 data_time: 0.0201 memory: 13802 grad_norm: 0.1516 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.8333 recall@top3: 0.8016 prec@top3: 0.7143 recall@top5: 0.9127 prec@top5: 0.5048 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 01:21:52 - mmengine - INFO - Epoch(train) [8][1640/2881] lr: 1.0000e-01 eta: 6:41:09 time: 0.6049 data_time: 0.0223 memory: 13802 grad_norm: 0.1515 recall@thr=0.5: 0.7122 prec@thr=0.5: 0.7400 recall@top3: 0.7789 prec@top3: 0.7444 recall@top5: 0.9311 prec@top5: 0.5267 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 01:22:05 - mmengine - INFO - Epoch(train) [8][1660/2881] lr: 1.0000e-01 eta: 6:40:54 time: 0.6370 data_time: 0.0261 memory: 13802 grad_norm: 0.1546 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6131 recall@top3: 0.5982 prec@top3: 0.5714 recall@top5: 0.8542 prec@top5: 0.4714 loss_action_cls: 0.0438 loss: 0.0438 2022/08/09 01:22:18 - mmengine - INFO - Epoch(train) [8][1680/2881] lr: 1.0000e-01 eta: 6:40:40 time: 0.6477 data_time: 0.0226 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.9825 recall@top3: 0.9298 prec@top3: 0.7544 recall@top5: 0.9825 prec@top5: 0.4842 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 01:22:30 - mmengine - INFO - Epoch(train) [8][1700/2881] lr: 1.0000e-01 eta: 6:40:25 time: 0.6292 data_time: 0.0221 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8750 recall@top3: 0.8917 prec@top3: 0.7167 recall@top5: 0.9667 prec@top5: 0.4700 loss_action_cls: 0.0425 loss: 0.0425 2022/08/09 01:22:43 - mmengine - INFO - Epoch(train) [8][1720/2881] lr: 1.0000e-01 eta: 6:40:11 time: 0.6486 data_time: 0.0253 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.8025 prec@thr=0.5: 0.8864 recall@top3: 0.8765 prec@top3: 0.7160 recall@top5: 0.9660 prec@top5: 0.4889 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 01:22:56 - mmengine - INFO - Epoch(train) [8][1740/2881] lr: 1.0000e-01 eta: 6:39:56 time: 0.6347 data_time: 0.0216 memory: 13802 grad_norm: 0.1498 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8462 recall@top3: 0.8910 prec@top3: 0.7564 recall@top5: 0.9679 prec@top5: 0.4923 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 01:23:08 - mmengine - INFO - Epoch(train) [8][1760/2881] lr: 1.0000e-01 eta: 6:39:42 time: 0.6309 data_time: 0.0234 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.6186 prec@thr=0.5: 0.6045 recall@top3: 0.7212 prec@top3: 0.6026 recall@top5: 0.8269 prec@top5: 0.4154 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 01:23:22 - mmengine - INFO - Epoch(train) [8][1780/2881] lr: 1.0000e-01 eta: 6:39:28 time: 0.6553 data_time: 0.0207 memory: 13802 grad_norm: 0.1459 recall@thr=0.5: 0.6782 prec@thr=0.5: 0.6782 recall@top3: 0.7816 prec@top3: 0.5862 recall@top5: 0.9540 prec@top5: 0.4138 loss_action_cls: 0.0437 loss: 0.0437 2022/08/09 01:23:34 - mmengine - INFO - Epoch(train) [8][1800/2881] lr: 1.0000e-01 eta: 6:39:13 time: 0.6432 data_time: 0.0231 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.7847 recall@top3: 0.8368 prec@top3: 0.6250 recall@top5: 0.9792 prec@top5: 0.4667 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 01:23:47 - mmengine - INFO - Epoch(train) [8][1820/2881] lr: 1.0000e-01 eta: 6:38:58 time: 0.6119 data_time: 0.0231 memory: 13802 grad_norm: 0.1523 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9167 recall@top3: 0.8472 prec@top3: 0.7639 recall@top5: 0.9097 prec@top5: 0.4917 loss_action_cls: 0.0358 loss: 0.0358 2022/08/09 01:23:55 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 01:23:59 - mmengine - INFO - Epoch(train) [8][1840/2881] lr: 1.0000e-01 eta: 6:38:43 time: 0.6214 data_time: 0.0219 memory: 13802 grad_norm: 0.1590 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7333 recall@top3: 0.8715 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4583 loss_action_cls: 0.0393 loss: 0.0393 2022/08/09 01:24:13 - mmengine - INFO - Epoch(train) [8][1860/2881] lr: 1.0000e-01 eta: 6:38:30 time: 0.6852 data_time: 0.0257 memory: 13802 grad_norm: 0.1497 recall@thr=0.5: 0.6133 prec@thr=0.5: 0.7250 recall@top3: 0.5975 prec@top3: 0.5833 recall@top5: 0.8692 prec@top5: 0.5200 loss_action_cls: 0.0449 loss: 0.0449 2022/08/09 01:24:25 - mmengine - INFO - Epoch(train) [8][1880/2881] lr: 1.0000e-01 eta: 6:38:15 time: 0.6338 data_time: 0.0244 memory: 13802 grad_norm: 0.1559 recall@thr=0.5: 0.8200 prec@thr=0.5: 0.8133 recall@top3: 0.9133 prec@top3: 0.6667 recall@top5: 0.9600 prec@top5: 0.4320 loss_action_cls: 0.0389 loss: 0.0389 2022/08/09 01:24:38 - mmengine - INFO - Epoch(train) [8][1900/2881] lr: 1.0000e-01 eta: 6:38:01 time: 0.6368 data_time: 0.0220 memory: 13802 grad_norm: 0.1506 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7500 recall@top3: 0.7792 prec@top3: 0.5952 recall@top5: 0.9571 prec@top5: 0.4571 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 01:24:52 - mmengine - INFO - Epoch(train) [8][1920/2881] lr: 1.0000e-01 eta: 6:37:48 time: 0.7068 data_time: 0.0219 memory: 13802 grad_norm: 0.1620 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.6583 recall@top3: 0.8083 prec@top3: 0.5333 recall@top5: 0.8500 prec@top5: 0.3400 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 01:25:05 - mmengine - INFO - Epoch(train) [8][1940/2881] lr: 1.0000e-01 eta: 6:37:34 time: 0.6493 data_time: 0.0239 memory: 13802 grad_norm: 0.1478 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8654 recall@top3: 0.8077 prec@top3: 0.6026 recall@top5: 0.9231 prec@top5: 0.4231 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 01:25:18 - mmengine - INFO - Epoch(train) [8][1960/2881] lr: 1.0000e-01 eta: 6:37:20 time: 0.6385 data_time: 0.0254 memory: 13802 grad_norm: 0.1632 recall@thr=0.5: 0.6860 prec@thr=0.5: 0.6930 recall@top3: 0.8175 prec@top3: 0.6842 recall@top5: 0.9649 prec@top5: 0.5158 loss_action_cls: 0.0434 loss: 0.0434 2022/08/09 01:25:31 - mmengine - INFO - Epoch(train) [8][1980/2881] lr: 1.0000e-01 eta: 6:37:05 time: 0.6370 data_time: 0.0205 memory: 13802 grad_norm: 0.1508 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8542 recall@top3: 1.0000 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 01:25:44 - mmengine - INFO - Epoch(train) [8][2000/2881] lr: 1.0000e-01 eta: 6:36:51 time: 0.6375 data_time: 0.0220 memory: 13802 grad_norm: 0.1578 recall@thr=0.5: 0.8869 prec@thr=0.5: 0.9238 recall@top3: 0.9345 prec@top3: 0.7619 recall@top5: 0.9821 prec@top5: 0.4857 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 01:25:56 - mmengine - INFO - Epoch(train) [8][2020/2881] lr: 1.0000e-01 eta: 6:36:35 time: 0.6167 data_time: 0.0248 memory: 13802 grad_norm: 0.1502 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9053 recall@top3: 0.9318 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4455 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 01:26:09 - mmengine - INFO - Epoch(train) [8][2040/2881] lr: 1.0000e-01 eta: 6:36:20 time: 0.6271 data_time: 0.0213 memory: 13802 grad_norm: 0.1589 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.9561 recall@top3: 0.8947 prec@top3: 0.5789 recall@top5: 0.9298 prec@top5: 0.3684 loss_action_cls: 0.0429 loss: 0.0429 2022/08/09 01:26:21 - mmengine - INFO - Epoch(train) [8][2060/2881] lr: 1.0000e-01 eta: 6:36:05 time: 0.6135 data_time: 0.0227 memory: 13802 grad_norm: 0.1467 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.7600 recall@top3: 0.8100 prec@top3: 0.6533 recall@top5: 0.9067 prec@top5: 0.4400 loss_action_cls: 0.0424 loss: 0.0424 2022/08/09 01:26:33 - mmengine - INFO - Epoch(train) [8][2080/2881] lr: 1.0000e-01 eta: 6:35:51 time: 0.6315 data_time: 0.0217 memory: 13802 grad_norm: 0.1553 recall@thr=0.5: 0.5772 prec@thr=0.5: 0.6605 recall@top3: 0.7346 prec@top3: 0.5185 recall@top5: 0.8272 prec@top5: 0.3630 loss_action_cls: 0.0393 loss: 0.0393 2022/08/09 01:26:46 - mmengine - INFO - Epoch(train) [8][2100/2881] lr: 1.0000e-01 eta: 6:35:36 time: 0.6485 data_time: 0.0221 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.7681 recall@top3: 0.8007 prec@top3: 0.6812 recall@top5: 0.9855 prec@top5: 0.5043 loss_action_cls: 0.0378 loss: 0.0378 2022/08/09 01:26:59 - mmengine - INFO - Epoch(train) [8][2120/2881] lr: 1.0000e-01 eta: 6:35:22 time: 0.6292 data_time: 0.0235 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8194 recall@top3: 0.7986 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0360 loss: 0.0360 2022/08/09 01:27:11 - mmengine - INFO - Epoch(train) [8][2140/2881] lr: 1.0000e-01 eta: 6:35:06 time: 0.6058 data_time: 0.0213 memory: 13802 grad_norm: 0.1463 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8333 recall@top3: 0.9206 prec@top3: 0.6508 recall@top5: 1.0000 prec@top5: 0.4381 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 01:27:24 - mmengine - INFO - Epoch(train) [8][2160/2881] lr: 1.0000e-01 eta: 6:34:52 time: 0.6548 data_time: 0.0310 memory: 13802 grad_norm: 0.1512 recall@thr=0.5: 0.6922 prec@thr=0.5: 0.7406 recall@top3: 0.6861 prec@top3: 0.6778 recall@top5: 0.9206 prec@top5: 0.5800 loss_action_cls: 0.0416 loss: 0.0416 2022/08/09 01:27:37 - mmengine - INFO - Epoch(train) [8][2180/2881] lr: 1.0000e-01 eta: 6:34:37 time: 0.6310 data_time: 0.0217 memory: 13802 grad_norm: 0.1526 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8827 recall@top3: 0.8302 prec@top3: 0.6420 recall@top5: 0.9352 prec@top5: 0.4296 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 01:27:49 - mmengine - INFO - Epoch(train) [8][2200/2881] lr: 1.0000e-01 eta: 6:34:22 time: 0.6057 data_time: 0.0202 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7281 recall@top3: 0.6842 prec@top3: 0.5439 recall@top5: 0.8860 prec@top5: 0.4105 loss_action_cls: 0.0427 loss: 0.0427 2022/08/09 01:28:01 - mmengine - INFO - Epoch(train) [8][2220/2881] lr: 1.0000e-01 eta: 6:34:07 time: 0.6162 data_time: 0.0231 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.8507 prec@thr=0.5: 0.8056 recall@top3: 0.8299 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4583 loss_action_cls: 0.0429 loss: 0.0429 2022/08/09 01:28:14 - mmengine - INFO - Epoch(train) [8][2240/2881] lr: 1.0000e-01 eta: 6:33:52 time: 0.6306 data_time: 0.0215 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.6477 recall@top3: 0.7500 prec@top3: 0.5606 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0482 loss: 0.0482 2022/08/09 01:28:27 - mmengine - INFO - Epoch(train) [8][2260/2881] lr: 1.0000e-01 eta: 6:33:38 time: 0.6575 data_time: 0.0262 memory: 13802 grad_norm: 0.1572 recall@thr=0.5: 0.6609 prec@thr=0.5: 0.7299 recall@top3: 0.7816 prec@top3: 0.7011 recall@top5: 0.9310 prec@top5: 0.4897 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 01:28:39 - mmengine - INFO - Epoch(train) [8][2280/2881] lr: 1.0000e-01 eta: 6:33:23 time: 0.6051 data_time: 0.0236 memory: 13802 grad_norm: 0.1550 recall@thr=0.5: 0.6173 prec@thr=0.5: 0.7531 recall@top3: 0.8333 prec@top3: 0.5802 recall@top5: 0.9630 prec@top5: 0.4000 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 01:28:52 - mmengine - INFO - Epoch(train) [8][2300/2881] lr: 1.0000e-01 eta: 6:33:08 time: 0.6297 data_time: 0.0204 memory: 13802 grad_norm: 0.1477 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.8873 recall@top3: 0.7990 prec@top3: 0.6667 recall@top5: 0.9069 prec@top5: 0.4706 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 01:29:04 - mmengine - INFO - Epoch(train) [8][2320/2881] lr: 1.0000e-01 eta: 6:32:54 time: 0.6369 data_time: 0.0253 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8681 recall@top3: 0.8889 prec@top3: 0.7639 recall@top5: 0.9861 prec@top5: 0.5083 loss_action_cls: 0.0410 loss: 0.0410 2022/08/09 01:29:17 - mmengine - INFO - Epoch(train) [8][2340/2881] lr: 1.0000e-01 eta: 6:32:38 time: 0.6047 data_time: 0.0229 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.7514 prec@thr=0.5: 0.7536 recall@top3: 0.8167 prec@top3: 0.7101 recall@top5: 0.9029 prec@top5: 0.4957 loss_action_cls: 0.0400 loss: 0.0400 2022/08/09 01:29:29 - mmengine - INFO - Epoch(train) [8][2360/2881] lr: 1.0000e-01 eta: 6:32:23 time: 0.6272 data_time: 0.0212 memory: 13802 grad_norm: 0.1497 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8214 recall@top3: 0.8135 prec@top3: 0.6032 recall@top5: 0.9246 prec@top5: 0.4190 loss_action_cls: 0.0399 loss: 0.0399 2022/08/09 01:29:41 - mmengine - INFO - Epoch(train) [8][2380/2881] lr: 1.0000e-01 eta: 6:32:08 time: 0.6155 data_time: 0.0217 memory: 13802 grad_norm: 0.1569 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7368 recall@top3: 0.6842 prec@top3: 0.5088 recall@top5: 0.8421 prec@top5: 0.4000 loss_action_cls: 0.0414 loss: 0.0414 2022/08/09 01:29:54 - mmengine - INFO - Epoch(train) [8][2400/2881] lr: 1.0000e-01 eta: 6:31:54 time: 0.6496 data_time: 0.0217 memory: 13802 grad_norm: 0.1488 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.8696 recall@top3: 0.7862 prec@top3: 0.7681 recall@top5: 0.9348 prec@top5: 0.5391 loss_action_cls: 0.0450 loss: 0.0450 2022/08/09 01:30:07 - mmengine - INFO - Epoch(train) [8][2420/2881] lr: 1.0000e-01 eta: 6:31:39 time: 0.6239 data_time: 0.0217 memory: 13802 grad_norm: 0.1535 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.7544 recall@top3: 0.8947 prec@top3: 0.5263 recall@top5: 1.0000 prec@top5: 0.3684 loss_action_cls: 0.0419 loss: 0.0419 2022/08/09 01:30:19 - mmengine - INFO - Epoch(train) [8][2440/2881] lr: 1.0000e-01 eta: 6:31:24 time: 0.6283 data_time: 0.0203 memory: 13802 grad_norm: 0.1547 recall@thr=0.5: 0.6183 prec@thr=0.5: 0.7634 recall@top3: 0.7177 prec@top3: 0.6774 recall@top5: 0.8441 prec@top5: 0.4774 loss_action_cls: 0.0459 loss: 0.0459 2022/08/09 01:30:32 - mmengine - INFO - Epoch(train) [8][2460/2881] lr: 1.0000e-01 eta: 6:31:09 time: 0.6067 data_time: 0.0213 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8690 recall@top3: 0.8492 prec@top3: 0.7778 recall@top5: 0.9365 prec@top5: 0.5048 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 01:30:44 - mmengine - INFO - Epoch(train) [8][2480/2881] lr: 1.0000e-01 eta: 6:30:55 time: 0.6359 data_time: 0.0213 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.6587 recall@top3: 0.7500 prec@top3: 0.6133 recall@top5: 0.9567 prec@top5: 0.5040 loss_action_cls: 0.0440 loss: 0.0440 2022/08/09 01:30:57 - mmengine - INFO - Epoch(train) [8][2500/2881] lr: 1.0000e-01 eta: 6:30:40 time: 0.6215 data_time: 0.0275 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.6130 prec@thr=0.5: 0.8116 recall@top3: 0.8783 prec@top3: 0.7246 recall@top5: 0.8783 prec@top5: 0.4348 loss_action_cls: 0.0381 loss: 0.0381 2022/08/09 01:31:09 - mmengine - INFO - Epoch(train) [8][2520/2881] lr: 1.0000e-01 eta: 6:30:24 time: 0.6041 data_time: 0.0213 memory: 13802 grad_norm: 0.1493 recall@thr=0.5: 0.5906 prec@thr=0.5: 0.7174 recall@top3: 0.6920 prec@top3: 0.6522 recall@top5: 0.8370 prec@top5: 0.4783 loss_action_cls: 0.0415 loss: 0.0415 2022/08/09 01:31:21 - mmengine - INFO - Epoch(train) [8][2540/2881] lr: 1.0000e-01 eta: 6:30:09 time: 0.6273 data_time: 0.0212 memory: 13802 grad_norm: 0.1531 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.9167 recall@top3: 0.8850 prec@top3: 0.7167 recall@top5: 0.9750 prec@top5: 0.5000 loss_action_cls: 0.0362 loss: 0.0362 2022/08/09 01:31:34 - mmengine - INFO - Epoch(train) [8][2560/2881] lr: 1.0000e-01 eta: 6:29:54 time: 0.6139 data_time: 0.0218 memory: 13802 grad_norm: 0.1517 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.8235 recall@top3: 0.8578 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 01:31:46 - mmengine - INFO - Epoch(train) [8][2580/2881] lr: 1.0000e-01 eta: 6:29:40 time: 0.6354 data_time: 0.0275 memory: 13802 grad_norm: 0.1559 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6316 recall@top3: 0.8421 prec@top3: 0.5263 recall@top5: 0.9211 prec@top5: 0.3474 loss_action_cls: 0.0400 loss: 0.0400 2022/08/09 01:31:59 - mmengine - INFO - Epoch(train) [8][2600/2881] lr: 1.0000e-01 eta: 6:29:25 time: 0.6306 data_time: 0.0215 memory: 13802 grad_norm: 0.1540 recall@thr=0.5: 0.8237 prec@thr=0.5: 0.8718 recall@top3: 0.8878 prec@top3: 0.7436 recall@top5: 0.9615 prec@top5: 0.4846 loss_action_cls: 0.0383 loss: 0.0383 2022/08/09 01:32:11 - mmengine - INFO - Epoch(train) [8][2620/2881] lr: 1.0000e-01 eta: 6:29:10 time: 0.6063 data_time: 0.0216 memory: 13802 grad_norm: 0.1478 recall@thr=0.5: 0.7674 prec@thr=0.5: 0.8472 recall@top3: 0.8924 prec@top3: 0.7361 recall@top5: 0.9653 prec@top5: 0.4667 loss_action_cls: 0.0417 loss: 0.0417 2022/08/09 01:32:24 - mmengine - INFO - Epoch(train) [8][2640/2881] lr: 1.0000e-01 eta: 6:28:55 time: 0.6372 data_time: 0.0209 memory: 13802 grad_norm: 0.1491 recall@thr=0.5: 0.5967 prec@thr=0.5: 0.7933 recall@top3: 0.7667 prec@top3: 0.6933 recall@top5: 0.8800 prec@top5: 0.4880 loss_action_cls: 0.0440 loss: 0.0440 2022/08/09 01:32:37 - mmengine - INFO - Epoch(train) [8][2660/2881] lr: 1.0000e-01 eta: 6:28:41 time: 0.6337 data_time: 0.0219 memory: 13802 grad_norm: 0.1665 recall@thr=0.5: 0.7462 prec@thr=0.5: 0.8409 recall@top3: 0.8826 prec@top3: 0.7121 recall@top5: 0.9886 prec@top5: 0.4727 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 01:32:49 - mmengine - INFO - Epoch(train) [8][2680/2881] lr: 1.0000e-01 eta: 6:28:25 time: 0.6027 data_time: 0.0210 memory: 13802 grad_norm: 0.1550 recall@thr=0.5: 0.7806 prec@thr=0.5: 0.8217 recall@top3: 0.8389 prec@top3: 0.7556 recall@top5: 0.9833 prec@top5: 0.5533 loss_action_cls: 0.0392 loss: 0.0392 2022/08/09 01:33:01 - mmengine - INFO - Epoch(train) [8][2700/2881] lr: 1.0000e-01 eta: 6:28:11 time: 0.6335 data_time: 0.0219 memory: 13802 grad_norm: 0.1531 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6349 recall@top3: 0.7143 prec@top3: 0.5079 recall@top5: 0.8810 prec@top5: 0.3905 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 01:33:13 - mmengine - INFO - Epoch(train) [8][2720/2881] lr: 1.0000e-01 eta: 6:27:56 time: 0.6102 data_time: 0.0226 memory: 13802 grad_norm: 0.1456 recall@thr=0.5: 0.8364 prec@thr=0.5: 0.9198 recall@top3: 0.8673 prec@top3: 0.7284 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 01:33:26 - mmengine - INFO - Epoch(train) [8][2740/2881] lr: 1.0000e-01 eta: 6:27:41 time: 0.6414 data_time: 0.0200 memory: 13802 grad_norm: 0.1484 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.7604 recall@top3: 0.8646 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.4625 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 01:33:39 - mmengine - INFO - Epoch(train) [8][2760/2881] lr: 1.0000e-01 eta: 6:27:27 time: 0.6317 data_time: 0.0217 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6574 recall@top3: 0.6914 prec@top3: 0.5062 recall@top5: 0.8272 prec@top5: 0.3630 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 01:33:52 - mmengine - INFO - Epoch(train) [8][2780/2881] lr: 1.0000e-01 eta: 6:27:13 time: 0.6521 data_time: 0.0216 memory: 13802 grad_norm: 0.1610 recall@thr=0.5: 0.6424 prec@thr=0.5: 0.6944 recall@top3: 0.8125 prec@top3: 0.6111 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0405 loss: 0.0405 2022/08/09 01:34:05 - mmengine - INFO - Epoch(train) [8][2800/2881] lr: 1.0000e-01 eta: 6:26:59 time: 0.6583 data_time: 0.0224 memory: 13802 grad_norm: 0.1524 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.7817 recall@top3: 0.9286 prec@top3: 0.6825 recall@top5: 0.9405 prec@top5: 0.4190 loss_action_cls: 0.0394 loss: 0.0394 2022/08/09 01:34:18 - mmengine - INFO - Epoch(train) [8][2820/2881] lr: 1.0000e-01 eta: 6:26:45 time: 0.6418 data_time: 0.0245 memory: 13802 grad_norm: 0.1496 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.8611 recall@top3: 0.9815 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.3556 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 01:34:26 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 01:34:31 - mmengine - INFO - Epoch(train) [8][2840/2881] lr: 1.0000e-01 eta: 6:26:31 time: 0.6478 data_time: 0.0233 memory: 13802 grad_norm: 0.1574 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.8016 recall@top3: 0.7500 prec@top3: 0.7302 recall@top5: 0.9405 prec@top5: 0.5429 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 01:34:43 - mmengine - INFO - Epoch(train) [8][2860/2881] lr: 1.0000e-01 eta: 6:26:16 time: 0.6087 data_time: 0.0248 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8636 recall@top3: 0.8864 prec@top3: 0.6515 recall@top5: 0.9545 prec@top5: 0.4273 loss_action_cls: 0.0370 loss: 0.0370 2022/08/09 01:34:56 - mmengine - INFO - Epoch(train) [8][2880/2881] lr: 1.0000e-01 eta: 6:26:01 time: 0.6212 data_time: 0.0205 memory: 13802 grad_norm: 0.1494 recall@thr=0.5: 0.7161 prec@thr=0.5: 0.7204 recall@top3: 0.7538 prec@top3: 0.6989 recall@top5: 0.9360 prec@top5: 0.5419 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 01:34:56 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 01:34:56 - mmengine - INFO - Epoch(train) [8][2881/2881] lr: 1.0000e-01 eta: 6:26:01 time: 0.5985 data_time: 0.0218 memory: 13802 grad_norm: 0.1489 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7422 recall@top3: 0.8182 prec@top3: 0.6146 recall@top5: 0.8729 prec@top5: 0.4000 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 01:34:56 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/09 01:35:04 - mmengine - INFO - Epoch(val) [8][20/6282] eta: 0:06:45 time: 0.0648 data_time: 0.0154 memory: 721 2022/08/09 01:35:05 - mmengine - INFO - Epoch(val) [8][40/6282] eta: 0:05:08 time: 0.0494 data_time: 0.0038 memory: 721 2022/08/09 01:35:06 - mmengine - INFO - Epoch(val) [8][60/6282] eta: 0:05:04 time: 0.0489 data_time: 0.0039 memory: 721 2022/08/09 01:35:07 - mmengine - INFO - Epoch(val) [8][80/6282] eta: 0:05:04 time: 0.0491 data_time: 0.0038 memory: 721 2022/08/09 01:35:08 - mmengine - INFO - Epoch(val) [8][100/6282] eta: 0:05:01 time: 0.0487 data_time: 0.0040 memory: 721 2022/08/09 01:35:10 - mmengine - INFO - Epoch(val) [8][120/6282] eta: 0:06:20 time: 0.0617 data_time: 0.0050 memory: 806 2022/08/09 01:35:11 - mmengine - INFO - Epoch(val) [8][140/6282] eta: 0:06:41 time: 0.0654 data_time: 0.0057 memory: 806 2022/08/09 01:35:12 - mmengine - INFO - Epoch(val) [8][160/6282] eta: 0:06:53 time: 0.0675 data_time: 0.0060 memory: 806 2022/08/09 01:35:14 - mmengine - INFO - Epoch(val) [8][180/6282] eta: 0:07:39 time: 0.0753 data_time: 0.0067 memory: 806 2022/08/09 01:35:16 - mmengine - INFO - Epoch(val) [8][200/6282] eta: 0:09:42 time: 0.0958 data_time: 0.0064 memory: 806 2022/08/09 01:35:17 - mmengine - INFO - Epoch(val) [8][220/6282] eta: 0:06:12 time: 0.0614 data_time: 0.0060 memory: 736 2022/08/09 01:35:18 - mmengine - INFO - Epoch(val) [8][240/6282] eta: 0:05:58 time: 0.0593 data_time: 0.0045 memory: 736 2022/08/09 01:35:19 - mmengine - INFO - Epoch(val) [8][260/6282] eta: 0:05:30 time: 0.0549 data_time: 0.0043 memory: 736 2022/08/09 01:35:20 - mmengine - INFO - Epoch(val) [8][280/6282] eta: 0:05:47 time: 0.0580 data_time: 0.0048 memory: 736 2022/08/09 01:35:22 - mmengine - INFO - Epoch(val) [8][300/6282] eta: 0:06:26 time: 0.0646 data_time: 0.0062 memory: 806 2022/08/09 01:35:23 - mmengine - INFO - Epoch(val) [8][320/6282] eta: 0:07:37 time: 0.0767 data_time: 0.0151 memory: 806 2022/08/09 01:35:25 - mmengine - INFO - Epoch(val) [8][340/6282] eta: 0:08:08 time: 0.0822 data_time: 0.0197 memory: 806 2022/08/09 01:35:26 - mmengine - INFO - Epoch(val) [8][360/6282] eta: 0:07:51 time: 0.0796 data_time: 0.0166 memory: 806 2022/08/09 01:35:28 - mmengine - INFO - Epoch(val) [8][380/6282] eta: 0:08:06 time: 0.0824 data_time: 0.0196 memory: 806 2022/08/09 01:35:29 - mmengine - INFO - Epoch(val) [8][400/6282] eta: 0:06:07 time: 0.0625 data_time: 0.0062 memory: 806 2022/08/09 01:35:30 - mmengine - INFO - Epoch(val) [8][420/6282] eta: 0:05:39 time: 0.0579 data_time: 0.0059 memory: 741 2022/08/09 01:35:32 - mmengine - INFO - Epoch(val) [8][440/6282] eta: 0:05:21 time: 0.0550 data_time: 0.0058 memory: 741 2022/08/09 01:35:33 - mmengine - INFO - Epoch(val) [8][460/6282] eta: 0:05:37 time: 0.0579 data_time: 0.0054 memory: 741 2022/08/09 01:35:34 - mmengine - INFO - Epoch(val) [8][480/6282] eta: 0:05:11 time: 0.0537 data_time: 0.0060 memory: 741 2022/08/09 01:35:35 - mmengine - INFO - Epoch(val) [8][500/6282] eta: 0:07:21 time: 0.0764 data_time: 0.0052 memory: 741 2022/08/09 01:35:36 - mmengine - INFO - Epoch(val) [8][520/6282] eta: 0:04:58 time: 0.0519 data_time: 0.0049 memory: 736 2022/08/09 01:35:37 - mmengine - INFO - Epoch(val) [8][540/6282] eta: 0:05:01 time: 0.0525 data_time: 0.0043 memory: 736 2022/08/09 01:35:39 - mmengine - INFO - Epoch(val) [8][560/6282] eta: 0:05:02 time: 0.0529 data_time: 0.0044 memory: 736 2022/08/09 01:35:40 - mmengine - INFO - Epoch(val) [8][580/6282] eta: 0:05:41 time: 0.0599 data_time: 0.0044 memory: 736 2022/08/09 01:35:41 - mmengine - INFO - Epoch(val) [8][600/6282] eta: 0:04:58 time: 0.0526 data_time: 0.0042 memory: 736 2022/08/09 01:35:42 - mmengine - INFO - Epoch(val) [8][620/6282] eta: 0:04:31 time: 0.0479 data_time: 0.0036 memory: 736 2022/08/09 01:35:43 - mmengine - INFO - Epoch(val) [8][640/6282] eta: 0:04:37 time: 0.0492 data_time: 0.0035 memory: 733 2022/08/09 01:35:44 - mmengine - INFO - Epoch(val) [8][660/6282] eta: 0:04:42 time: 0.0503 data_time: 0.0049 memory: 733 2022/08/09 01:35:45 - mmengine - INFO - Epoch(val) [8][680/6282] eta: 0:04:57 time: 0.0531 data_time: 0.0052 memory: 733 2022/08/09 01:35:46 - mmengine - INFO - Epoch(val) [8][700/6282] eta: 0:04:30 time: 0.0484 data_time: 0.0047 memory: 733 2022/08/09 01:35:49 - mmengine - INFO - Epoch(val) [8][720/6282] eta: 0:12:34 time: 0.1356 data_time: 0.0747 memory: 806 2022/08/09 01:35:52 - mmengine - INFO - Epoch(val) [8][740/6282] eta: 0:17:04 time: 0.1849 data_time: 0.1257 memory: 806 2022/08/09 01:35:55 - mmengine - INFO - Epoch(val) [8][760/6282] eta: 0:12:57 time: 0.1407 data_time: 0.0808 memory: 806 2022/08/09 01:35:58 - mmengine - INFO - Epoch(val) [8][780/6282] eta: 0:14:42 time: 0.1605 data_time: 0.1019 memory: 806 2022/08/09 01:36:01 - mmengine - INFO - Epoch(val) [8][800/6282] eta: 0:11:28 time: 0.1255 data_time: 0.0634 memory: 806 2022/08/09 01:36:03 - mmengine - INFO - Epoch(val) [8][820/6282] eta: 0:07:53 time: 0.0867 data_time: 0.0329 memory: 806 2022/08/09 01:36:04 - mmengine - INFO - Epoch(val) [8][840/6282] eta: 0:05:03 time: 0.0559 data_time: 0.0051 memory: 736 2022/08/09 01:36:05 - mmengine - INFO - Epoch(val) [8][860/6282] eta: 0:05:01 time: 0.0555 data_time: 0.0055 memory: 736 2022/08/09 01:36:06 - mmengine - INFO - Epoch(val) [8][880/6282] eta: 0:05:11 time: 0.0576 data_time: 0.0047 memory: 736 2022/08/09 01:36:07 - mmengine - INFO - Epoch(val) [8][900/6282] eta: 0:04:57 time: 0.0553 data_time: 0.0050 memory: 736 2022/08/09 01:36:08 - mmengine - INFO - Epoch(val) [8][920/6282] eta: 0:05:06 time: 0.0572 data_time: 0.0048 memory: 736 2022/08/09 01:36:09 - mmengine - INFO - Epoch(val) [8][940/6282] eta: 0:04:42 time: 0.0529 data_time: 0.0051 memory: 721 2022/08/09 01:36:10 - mmengine - INFO - Epoch(val) [8][960/6282] eta: 0:04:40 time: 0.0526 data_time: 0.0060 memory: 721 2022/08/09 01:36:11 - mmengine - INFO - Epoch(val) [8][980/6282] eta: 0:04:48 time: 0.0544 data_time: 0.0051 memory: 721 2022/08/09 01:36:12 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:04:38 time: 0.0527 data_time: 0.0044 memory: 721 2022/08/09 01:36:14 - mmengine - INFO - Epoch(val) [8][1020/6282] eta: 0:04:45 time: 0.0542 data_time: 0.0051 memory: 736 2022/08/09 01:36:15 - mmengine - INFO - Epoch(val) [8][1040/6282] eta: 0:06:45 time: 0.0773 data_time: 0.0068 memory: 736 2022/08/09 01:36:16 - mmengine - INFO - Epoch(val) [8][1060/6282] eta: 0:04:51 time: 0.0558 data_time: 0.0056 memory: 736 2022/08/09 01:36:17 - mmengine - INFO - Epoch(val) [8][1080/6282] eta: 0:04:58 time: 0.0575 data_time: 0.0055 memory: 736 2022/08/09 01:36:19 - mmengine - INFO - Epoch(val) [8][1100/6282] eta: 0:04:46 time: 0.0553 data_time: 0.0034 memory: 736 2022/08/09 01:36:20 - mmengine - INFO - Epoch(val) [8][1120/6282] eta: 0:05:04 time: 0.0589 data_time: 0.0070 memory: 736 2022/08/09 01:36:21 - mmengine - INFO - Epoch(val) [8][1140/6282] eta: 0:04:39 time: 0.0544 data_time: 0.0057 memory: 736 2022/08/09 01:36:22 - mmengine - INFO - Epoch(val) [8][1160/6282] eta: 0:04:11 time: 0.0491 data_time: 0.0035 memory: 736 2022/08/09 01:36:23 - mmengine - INFO - Epoch(val) [8][1180/6282] eta: 0:04:24 time: 0.0519 data_time: 0.0039 memory: 736 2022/08/09 01:36:24 - mmengine - INFO - Epoch(val) [8][1200/6282] eta: 0:04:21 time: 0.0515 data_time: 0.0036 memory: 736 2022/08/09 01:36:25 - mmengine - INFO - Epoch(val) [8][1220/6282] eta: 0:04:42 time: 0.0558 data_time: 0.0042 memory: 736 2022/08/09 01:36:28 - mmengine - INFO - Epoch(val) [8][1240/6282] eta: 0:13:54 time: 0.1655 data_time: 0.1075 memory: 806 2022/08/09 01:36:31 - mmengine - INFO - Epoch(val) [8][1260/6282] eta: 0:11:38 time: 0.1390 data_time: 0.0799 memory: 806 2022/08/09 01:36:35 - mmengine - INFO - Epoch(val) [8][1280/6282] eta: 0:15:31 time: 0.1863 data_time: 0.1219 memory: 806 2022/08/09 01:36:38 - mmengine - INFO - Epoch(val) [8][1300/6282] eta: 0:12:42 time: 0.1530 data_time: 0.0936 memory: 806 2022/08/09 01:36:41 - mmengine - INFO - Epoch(val) [8][1320/6282] eta: 0:14:15 time: 0.1724 data_time: 0.1141 memory: 806 2022/08/09 01:36:44 - mmengine - INFO - Epoch(val) [8][1340/6282] eta: 0:11:02 time: 0.1341 data_time: 0.0733 memory: 806 2022/08/09 01:36:48 - mmengine - INFO - Epoch(val) [8][1360/6282] eta: 0:14:53 time: 0.1816 data_time: 0.0981 memory: 806 2022/08/09 01:36:51 - mmengine - INFO - Epoch(val) [8][1380/6282] eta: 0:11:45 time: 0.1439 data_time: 0.0852 memory: 806 2022/08/09 01:36:54 - mmengine - INFO - Epoch(val) [8][1400/6282] eta: 0:11:52 time: 0.1459 data_time: 0.0876 memory: 806 2022/08/09 01:36:56 - mmengine - INFO - Epoch(val) [8][1420/6282] eta: 0:09:59 time: 0.1233 data_time: 0.0622 memory: 806 2022/08/09 01:36:58 - mmengine - INFO - Epoch(val) [8][1440/6282] eta: 0:07:36 time: 0.0943 data_time: 0.0324 memory: 806 2022/08/09 01:36:59 - mmengine - INFO - Epoch(val) [8][1460/6282] eta: 0:05:27 time: 0.0680 data_time: 0.0053 memory: 806 2022/08/09 01:37:01 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:05:20 time: 0.0667 data_time: 0.0059 memory: 806 2022/08/09 01:37:02 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:05:18 time: 0.0666 data_time: 0.0055 memory: 806 2022/08/09 01:37:03 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:05:14 time: 0.0661 data_time: 0.0056 memory: 909 2022/08/09 01:37:05 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:07:58 time: 0.1009 data_time: 0.0063 memory: 909 2022/08/09 01:37:07 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:05:56 time: 0.0754 data_time: 0.0053 memory: 909 2022/08/09 01:37:08 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:06:05 time: 0.0778 data_time: 0.0056 memory: 909 2022/08/09 01:37:10 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:06:05 time: 0.0781 data_time: 0.0066 memory: 909 2022/08/09 01:37:12 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:06:16 time: 0.0808 data_time: 0.0055 memory: 909 2022/08/09 01:37:13 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:04:51 time: 0.0629 data_time: 0.0046 memory: 806 2022/08/09 01:37:14 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:04:38 time: 0.0602 data_time: 0.0043 memory: 806 2022/08/09 01:37:15 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:04:38 time: 0.0605 data_time: 0.0044 memory: 806 2022/08/09 01:37:16 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:04:40 time: 0.0612 data_time: 0.0041 memory: 806 2022/08/09 01:37:18 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:04:33 time: 0.0599 data_time: 0.0046 memory: 806 2022/08/09 01:37:19 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:04:32 time: 0.0601 data_time: 0.0041 memory: 806 2022/08/09 01:37:21 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:06:54 time: 0.0917 data_time: 0.0058 memory: 806 2022/08/09 01:37:22 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:04:54 time: 0.0654 data_time: 0.0052 memory: 806 2022/08/09 01:37:23 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:04:45 time: 0.0637 data_time: 0.0042 memory: 806 2022/08/09 01:37:25 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:04:55 time: 0.0663 data_time: 0.0055 memory: 806 2022/08/09 01:37:26 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:06:02 time: 0.0815 data_time: 0.0241 memory: 806 2022/08/09 01:37:30 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:12:38 time: 0.1716 data_time: 0.1139 memory: 806 2022/08/09 01:37:33 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:10:42 time: 0.1460 data_time: 0.0874 memory: 806 2022/08/09 01:37:36 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:12:37 time: 0.1729 data_time: 0.1148 memory: 806 2022/08/09 01:37:38 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:08:25 time: 0.1158 data_time: 0.0543 memory: 806 2022/08/09 01:37:41 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:09:36 time: 0.1328 data_time: 0.0732 memory: 806 2022/08/09 01:37:42 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:04:07 time: 0.0572 data_time: 0.0039 memory: 741 2022/08/09 01:37:43 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:04:03 time: 0.0566 data_time: 0.0060 memory: 741 2022/08/09 01:37:45 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:03:58 time: 0.0557 data_time: 0.0055 memory: 741 2022/08/09 01:37:46 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:05:39 time: 0.0797 data_time: 0.0051 memory: 741 2022/08/09 01:37:47 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:04:10 time: 0.0591 data_time: 0.0046 memory: 741 2022/08/09 01:37:48 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:03:55 time: 0.0558 data_time: 0.0050 memory: 741 2022/08/09 01:37:50 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:04:01 time: 0.0574 data_time: 0.0054 memory: 741 2022/08/09 01:37:51 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:03:46 time: 0.0542 data_time: 0.0047 memory: 741 2022/08/09 01:37:52 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:03:55 time: 0.0565 data_time: 0.0052 memory: 741 2022/08/09 01:37:53 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:03:57 time: 0.0574 data_time: 0.0062 memory: 741 2022/08/09 01:37:54 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:04:00 time: 0.0584 data_time: 0.0068 memory: 736 2022/08/09 01:37:55 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:04:12 time: 0.0615 data_time: 0.0058 memory: 736 2022/08/09 01:37:57 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:05:29 time: 0.0806 data_time: 0.0058 memory: 736 2022/08/09 01:37:58 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:03:50 time: 0.0567 data_time: 0.0049 memory: 736 2022/08/09 01:37:59 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:03:43 time: 0.0554 data_time: 0.0050 memory: 736 2022/08/09 01:38:00 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:03:35 time: 0.0537 data_time: 0.0036 memory: 741 2022/08/09 01:38:01 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:03:35 time: 0.0538 data_time: 0.0045 memory: 741 2022/08/09 01:38:03 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:03:46 time: 0.0569 data_time: 0.0059 memory: 741 2022/08/09 01:38:04 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:03:50 time: 0.0582 data_time: 0.0058 memory: 741 2022/08/09 01:38:05 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:03:50 time: 0.0584 data_time: 0.0053 memory: 741 2022/08/09 01:38:06 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:03:53 time: 0.0594 data_time: 0.0052 memory: 736 2022/08/09 01:38:07 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:03:42 time: 0.0570 data_time: 0.0047 memory: 736 2022/08/09 01:38:09 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:05:20 time: 0.0824 data_time: 0.0060 memory: 736 2022/08/09 01:38:10 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:03:46 time: 0.0587 data_time: 0.0061 memory: 736 2022/08/09 01:38:11 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:03:49 time: 0.0596 data_time: 0.0047 memory: 736 2022/08/09 01:38:13 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:05:05 time: 0.0799 data_time: 0.0159 memory: 806 2022/08/09 01:38:15 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:05:08 time: 0.0812 data_time: 0.0199 memory: 806 2022/08/09 01:38:16 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:05:00 time: 0.0794 data_time: 0.0212 memory: 806 2022/08/09 01:38:18 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:05:05 time: 0.0811 data_time: 0.0248 memory: 806 2022/08/09 01:38:20 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:07:22 time: 0.1182 data_time: 0.0606 memory: 806 2022/08/09 01:38:23 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:10:15 time: 0.1654 data_time: 0.0826 memory: 806 2022/08/09 01:38:27 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:09:52 time: 0.1600 data_time: 0.0998 memory: 806 2022/08/09 01:38:30 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:08:58 time: 0.1462 data_time: 0.0888 memory: 806 2022/08/09 01:38:33 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:10:09 time: 0.1666 data_time: 0.1024 memory: 806 2022/08/09 01:38:35 - mmengine - INFO - Epoch(val) [8][2640/6282] eta: 0:07:29 time: 0.1233 data_time: 0.0381 memory: 806 2022/08/09 01:38:37 - mmengine - INFO - Epoch(val) [8][2660/6282] eta: 0:04:45 time: 0.0788 data_time: 0.0052 memory: 899 2022/08/09 01:38:39 - mmengine - INFO - Epoch(val) [8][2680/6282] eta: 0:04:36 time: 0.0767 data_time: 0.0055 memory: 899 2022/08/09 01:38:40 - mmengine - INFO - Epoch(val) [8][2700/6282] eta: 0:04:50 time: 0.0812 data_time: 0.0070 memory: 899 2022/08/09 01:38:42 - mmengine - INFO - Epoch(val) [8][2720/6282] eta: 0:04:53 time: 0.0824 data_time: 0.0076 memory: 899 2022/08/09 01:38:43 - mmengine - INFO - Epoch(val) [8][2740/6282] eta: 0:04:46 time: 0.0808 data_time: 0.0066 memory: 899 2022/08/09 01:38:45 - mmengine - INFO - Epoch(val) [8][2760/6282] eta: 0:03:32 time: 0.0604 data_time: 0.0060 memory: 741 2022/08/09 01:38:46 - mmengine - INFO - Epoch(val) [8][2780/6282] eta: 0:03:17 time: 0.0563 data_time: 0.0055 memory: 741 2022/08/09 01:38:47 - mmengine - INFO - Epoch(val) [8][2800/6282] eta: 0:03:34 time: 0.0616 data_time: 0.0043 memory: 741 2022/08/09 01:38:49 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:04:44 time: 0.0821 data_time: 0.0051 memory: 741 2022/08/09 01:38:50 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:03:17 time: 0.0575 data_time: 0.0052 memory: 741 2022/08/09 01:38:51 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:03:44 time: 0.0657 data_time: 0.0071 memory: 806 2022/08/09 01:38:52 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:03:41 time: 0.0652 data_time: 0.0048 memory: 806 2022/08/09 01:38:54 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:03:36 time: 0.0639 data_time: 0.0037 memory: 806 2022/08/09 01:38:55 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:03:16 time: 0.0583 data_time: 0.0044 memory: 806 2022/08/09 01:38:56 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:03:01 time: 0.0544 data_time: 0.0040 memory: 769 2022/08/09 01:38:57 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:02:56 time: 0.0531 data_time: 0.0042 memory: 769 2022/08/09 01:38:58 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:02:58 time: 0.0540 data_time: 0.0043 memory: 769 2022/08/09 01:39:00 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:04:15 time: 0.0777 data_time: 0.0036 memory: 769 2022/08/09 01:39:01 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:03:27 time: 0.0635 data_time: 0.0039 memory: 806 2022/08/09 01:39:02 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:03:24 time: 0.0630 data_time: 0.0046 memory: 806 2022/08/09 01:39:04 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:03:25 time: 0.0638 data_time: 0.0050 memory: 806 2022/08/09 01:39:05 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:03:29 time: 0.0655 data_time: 0.0053 memory: 806 2022/08/09 01:39:06 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:03:17 time: 0.0622 data_time: 0.0059 memory: 806 2022/08/09 01:39:08 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:04:30 time: 0.0855 data_time: 0.0056 memory: 741 2022/08/09 01:39:09 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:03:03 time: 0.0584 data_time: 0.0042 memory: 741 2022/08/09 01:39:10 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:03:07 time: 0.0600 data_time: 0.0049 memory: 741 2022/08/09 01:39:12 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:03:22 time: 0.0653 data_time: 0.0055 memory: 741 2022/08/09 01:39:13 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:03:21 time: 0.0654 data_time: 0.0066 memory: 806 2022/08/09 01:39:14 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:03:42 time: 0.0726 data_time: 0.0102 memory: 806 2022/08/09 01:39:16 - mmengine - INFO - Epoch(val) [8][3240/6282] eta: 0:03:27 time: 0.0682 data_time: 0.0059 memory: 806 2022/08/09 01:39:17 - mmengine - INFO - Epoch(val) [8][3260/6282] eta: 0:03:17 time: 0.0654 data_time: 0.0066 memory: 806 2022/08/09 01:39:18 - mmengine - INFO - Epoch(val) [8][3280/6282] eta: 0:03:05 time: 0.0618 data_time: 0.0041 memory: 806 2022/08/09 01:39:20 - mmengine - INFO - Epoch(val) [8][3300/6282] eta: 0:03:05 time: 0.0624 data_time: 0.0044 memory: 806 2022/08/09 01:39:21 - mmengine - INFO - Epoch(val) [8][3320/6282] eta: 0:03:06 time: 0.0629 data_time: 0.0055 memory: 806 2022/08/09 01:39:22 - mmengine - INFO - Epoch(val) [8][3340/6282] eta: 0:03:10 time: 0.0648 data_time: 0.0043 memory: 806 2022/08/09 01:39:23 - mmengine - INFO - Epoch(val) [8][3360/6282] eta: 0:03:10 time: 0.0651 data_time: 0.0054 memory: 806 2022/08/09 01:39:25 - mmengine - INFO - Epoch(val) [8][3380/6282] eta: 0:04:00 time: 0.0828 data_time: 0.0049 memory: 806 2022/08/09 01:39:26 - mmengine - INFO - Epoch(val) [8][3400/6282] eta: 0:02:31 time: 0.0524 data_time: 0.0053 memory: 736 2022/08/09 01:39:27 - mmengine - INFO - Epoch(val) [8][3420/6282] eta: 0:02:28 time: 0.0521 data_time: 0.0038 memory: 736 2022/08/09 01:39:28 - mmengine - INFO - Epoch(val) [8][3440/6282] eta: 0:02:29 time: 0.0525 data_time: 0.0040 memory: 736 2022/08/09 01:39:29 - mmengine - INFO - Epoch(val) [8][3460/6282] eta: 0:02:27 time: 0.0521 data_time: 0.0038 memory: 736 2022/08/09 01:39:30 - mmengine - INFO - Epoch(val) [8][3480/6282] eta: 0:02:24 time: 0.0515 data_time: 0.0047 memory: 736 2022/08/09 01:39:31 - mmengine - INFO - Epoch(val) [8][3500/6282] eta: 0:02:20 time: 0.0504 data_time: 0.0046 memory: 736 2022/08/09 01:39:32 - mmengine - INFO - Epoch(val) [8][3520/6282] eta: 0:02:24 time: 0.0523 data_time: 0.0038 memory: 736 2022/08/09 01:39:33 - mmengine - INFO - Epoch(val) [8][3540/6282] eta: 0:02:19 time: 0.0509 data_time: 0.0047 memory: 736 2022/08/09 01:39:34 - mmengine - INFO - Epoch(val) [8][3560/6282] eta: 0:02:19 time: 0.0513 data_time: 0.0045 memory: 736 2022/08/09 01:39:36 - mmengine - INFO - Epoch(val) [8][3580/6282] eta: 0:02:30 time: 0.0558 data_time: 0.0044 memory: 786 2022/08/09 01:39:37 - mmengine - INFO - Epoch(val) [8][3600/6282] eta: 0:02:59 time: 0.0670 data_time: 0.0068 memory: 786 2022/08/09 01:39:38 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:02:53 time: 0.0651 data_time: 0.0078 memory: 786 2022/08/09 01:39:39 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:02:49 time: 0.0641 data_time: 0.0056 memory: 786 2022/08/09 01:39:41 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:52 time: 0.0660 data_time: 0.0065 memory: 786 2022/08/09 01:39:42 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:02:52 time: 0.0661 data_time: 0.0057 memory: 806 2022/08/09 01:39:44 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:03:40 time: 0.0855 data_time: 0.0215 memory: 806 2022/08/09 01:39:46 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:04:09 time: 0.0972 data_time: 0.0123 memory: 806 2022/08/09 01:39:47 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:03:26 time: 0.0813 data_time: 0.0156 memory: 806 2022/08/09 01:39:49 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:03:34 time: 0.0851 data_time: 0.0216 memory: 806 2022/08/09 01:39:51 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:03:46 time: 0.0906 data_time: 0.0290 memory: 806 2022/08/09 01:39:53 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:03:33 time: 0.0859 data_time: 0.0253 memory: 806 2022/08/09 01:39:55 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:04:30 time: 0.1098 data_time: 0.0465 memory: 806 2022/08/09 01:39:57 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:03:21 time: 0.0824 data_time: 0.0181 memory: 806 2022/08/09 01:39:59 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:04:13 time: 0.1045 data_time: 0.0176 memory: 806 2022/08/09 01:40:00 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:02:58 time: 0.0743 data_time: 0.0061 memory: 806 2022/08/09 01:40:02 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:02:42 time: 0.0683 data_time: 0.0069 memory: 806 2022/08/09 01:40:03 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:02:59 time: 0.0762 data_time: 0.0145 memory: 806 2022/08/09 01:40:05 - mmengine - INFO - Epoch(val) [8][3940/6282] eta: 0:03:35 time: 0.0919 data_time: 0.0313 memory: 806 2022/08/09 01:40:06 - mmengine - INFO - Epoch(val) [8][3960/6282] eta: 0:02:30 time: 0.0648 data_time: 0.0073 memory: 806 2022/08/09 01:40:07 - mmengine - INFO - Epoch(val) [8][3980/6282] eta: 0:02:16 time: 0.0593 data_time: 0.0045 memory: 806 2022/08/09 01:40:09 - mmengine - INFO - Epoch(val) [8][4000/6282] eta: 0:02:19 time: 0.0610 data_time: 0.0045 memory: 806 2022/08/09 01:40:10 - mmengine - INFO - Epoch(val) [8][4020/6282] eta: 0:03:04 time: 0.0818 data_time: 0.0038 memory: 806 2022/08/09 01:40:11 - mmengine - INFO - Epoch(val) [8][4040/6282] eta: 0:02:13 time: 0.0596 data_time: 0.0038 memory: 899 2022/08/09 01:40:13 - mmengine - INFO - Epoch(val) [8][4060/6282] eta: 0:02:32 time: 0.0686 data_time: 0.0046 memory: 899 2022/08/09 01:40:14 - mmengine - INFO - Epoch(val) [8][4080/6282] eta: 0:02:38 time: 0.0718 data_time: 0.0046 memory: 899 2022/08/09 01:40:16 - mmengine - INFO - Epoch(val) [8][4100/6282] eta: 0:02:45 time: 0.0758 data_time: 0.0056 memory: 899 2022/08/09 01:40:18 - mmengine - INFO - Epoch(val) [8][4120/6282] eta: 0:03:06 time: 0.0862 data_time: 0.0080 memory: 899 2022/08/09 01:40:19 - mmengine - INFO - Epoch(val) [8][4140/6282] eta: 0:02:34 time: 0.0719 data_time: 0.0053 memory: 899 2022/08/09 01:40:20 - mmengine - INFO - Epoch(val) [8][4160/6282] eta: 0:01:56 time: 0.0547 data_time: 0.0047 memory: 736 2022/08/09 01:40:22 - mmengine - INFO - Epoch(val) [8][4180/6282] eta: 0:02:45 time: 0.0789 data_time: 0.0058 memory: 736 2022/08/09 01:40:23 - mmengine - INFO - Epoch(val) [8][4200/6282] eta: 0:01:56 time: 0.0561 data_time: 0.0069 memory: 736 2022/08/09 01:40:24 - mmengine - INFO - Epoch(val) [8][4220/6282] eta: 0:01:52 time: 0.0548 data_time: 0.0055 memory: 736 2022/08/09 01:40:25 - mmengine - INFO - Epoch(val) [8][4240/6282] eta: 0:01:53 time: 0.0556 data_time: 0.0046 memory: 736 2022/08/09 01:40:26 - mmengine - INFO - Epoch(val) [8][4260/6282] eta: 0:01:47 time: 0.0534 data_time: 0.0054 memory: 735 2022/08/09 01:40:27 - mmengine - INFO - Epoch(val) [8][4280/6282] eta: 0:01:42 time: 0.0510 data_time: 0.0035 memory: 735 2022/08/09 01:40:28 - mmengine - INFO - Epoch(val) [8][4300/6282] eta: 0:01:37 time: 0.0494 data_time: 0.0039 memory: 735 2022/08/09 01:40:29 - mmengine - INFO - Epoch(val) [8][4320/6282] eta: 0:01:37 time: 0.0499 data_time: 0.0039 memory: 735 2022/08/09 01:40:30 - mmengine - INFO - Epoch(val) [8][4340/6282] eta: 0:01:38 time: 0.0507 data_time: 0.0037 memory: 735 2022/08/09 01:40:31 - mmengine - INFO - Epoch(val) [8][4360/6282] eta: 0:01:56 time: 0.0605 data_time: 0.0047 memory: 806 2022/08/09 01:40:33 - mmengine - INFO - Epoch(val) [8][4380/6282] eta: 0:02:00 time: 0.0632 data_time: 0.0046 memory: 806 2022/08/09 01:40:34 - mmengine - INFO - Epoch(val) [8][4400/6282] eta: 0:01:56 time: 0.0622 data_time: 0.0051 memory: 806 2022/08/09 01:40:36 - mmengine - INFO - Epoch(val) [8][4420/6282] eta: 0:02:40 time: 0.0860 data_time: 0.0048 memory: 806 2022/08/09 01:40:37 - mmengine - INFO - Epoch(val) [8][4440/6282] eta: 0:01:57 time: 0.0639 data_time: 0.0046 memory: 814 2022/08/09 01:40:38 - mmengine - INFO - Epoch(val) [8][4460/6282] eta: 0:01:58 time: 0.0652 data_time: 0.0052 memory: 814 2022/08/09 01:40:40 - mmengine - INFO - Epoch(val) [8][4480/6282] eta: 0:02:01 time: 0.0677 data_time: 0.0050 memory: 814 2022/08/09 01:40:41 - mmengine - INFO - Epoch(val) [8][4500/6282] eta: 0:02:02 time: 0.0689 data_time: 0.0049 memory: 814 2022/08/09 01:40:42 - mmengine - INFO - Epoch(val) [8][4520/6282] eta: 0:01:57 time: 0.0669 data_time: 0.0053 memory: 814 2022/08/09 01:40:43 - mmengine - INFO - Epoch(val) [8][4540/6282] eta: 0:01:34 time: 0.0543 data_time: 0.0045 memory: 742 2022/08/09 01:40:45 - mmengine - INFO - Epoch(val) [8][4560/6282] eta: 0:01:37 time: 0.0569 data_time: 0.0045 memory: 742 2022/08/09 01:40:46 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:36 time: 0.0569 data_time: 0.0046 memory: 742 2022/08/09 01:40:47 - 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mmengine - INFO - Epoch(val) [8][4780/6282] eta: 0:01:23 time: 0.0555 data_time: 0.0043 memory: 766 2022/08/09 01:40:59 - mmengine - INFO - Epoch(val) [8][4800/6282] eta: 0:01:27 time: 0.0587 data_time: 0.0052 memory: 766 2022/08/09 01:41:01 - mmengine - INFO - Epoch(val) [8][4820/6282] eta: 0:02:01 time: 0.0830 data_time: 0.0052 memory: 806 2022/08/09 01:41:02 - mmengine - INFO - Epoch(val) [8][4840/6282] eta: 0:01:31 time: 0.0635 data_time: 0.0045 memory: 806 2022/08/09 01:41:03 - mmengine - INFO - Epoch(val) [8][4860/6282] eta: 0:01:33 time: 0.0657 data_time: 0.0055 memory: 806 2022/08/09 01:41:05 - mmengine - INFO - Epoch(val) [8][4880/6282] eta: 0:01:33 time: 0.0670 data_time: 0.0061 memory: 806 2022/08/09 01:41:06 - mmengine - INFO - Epoch(val) [8][4900/6282] eta: 0:01:26 time: 0.0624 data_time: 0.0052 memory: 806 2022/08/09 01:41:07 - mmengine - INFO - Epoch(val) [8][4920/6282] eta: 0:01:27 time: 0.0646 data_time: 0.0057 memory: 809 2022/08/09 01:41:09 - mmengine - INFO - Epoch(val) [8][4940/6282] eta: 0:01:23 time: 0.0622 data_time: 0.0049 memory: 809 2022/08/09 01:41:10 - mmengine - INFO - Epoch(val) [8][4960/6282] eta: 0:01:23 time: 0.0630 data_time: 0.0043 memory: 809 2022/08/09 01:41:11 - mmengine - INFO - Epoch(val) [8][4980/6282] eta: 0:01:26 time: 0.0666 data_time: 0.0052 memory: 809 2022/08/09 01:41:13 - mmengine - INFO - Epoch(val) [8][5000/6282] eta: 0:01:28 time: 0.0692 data_time: 0.0053 memory: 809 2022/08/09 01:41:14 - mmengine - INFO - Epoch(val) [8][5020/6282] eta: 0:01:18 time: 0.0619 data_time: 0.0050 memory: 809 2022/08/09 01:41:15 - mmengine - INFO - Epoch(val) [8][5040/6282] eta: 0:01:12 time: 0.0588 data_time: 0.0064 memory: 741 2022/08/09 01:41:16 - mmengine - INFO - Epoch(val) [8][5060/6282] eta: 0:01:09 time: 0.0572 data_time: 0.0043 memory: 741 2022/08/09 01:41:17 - mmengine - INFO - Epoch(val) [8][5080/6282] eta: 0:01:09 time: 0.0580 data_time: 0.0061 memory: 741 2022/08/09 01:41:18 - mmengine - INFO - Epoch(val) [8][5100/6282] eta: 0:01:06 time: 0.0561 data_time: 0.0042 memory: 741 2022/08/09 01:41:20 - mmengine - INFO - Epoch(val) [8][5120/6282] eta: 0:01:03 time: 0.0550 data_time: 0.0043 memory: 741 2022/08/09 01:41:21 - mmengine - INFO - Epoch(val) [8][5140/6282] eta: 0:01:03 time: 0.0557 data_time: 0.0061 memory: 736 2022/08/09 01:41:22 - mmengine - INFO - Epoch(val) [8][5160/6282] eta: 0:01:01 time: 0.0552 data_time: 0.0060 memory: 736 2022/08/09 01:41:23 - mmengine - INFO - Epoch(val) [8][5180/6282] eta: 0:01:03 time: 0.0578 data_time: 0.0063 memory: 736 2022/08/09 01:41:24 - mmengine - INFO - Epoch(val) [8][5200/6282] eta: 0:01:02 time: 0.0574 data_time: 0.0068 memory: 736 2022/08/09 01:41:26 - mmengine - INFO - Epoch(val) [8][5220/6282] eta: 0:01:26 time: 0.0812 data_time: 0.0057 memory: 736 2022/08/09 01:41:27 - mmengine - INFO - Epoch(val) [8][5240/6282] eta: 0:01:01 time: 0.0592 data_time: 0.0058 memory: 735 2022/08/09 01:41:28 - mmengine - INFO - Epoch(val) [8][5260/6282] eta: 0:00:55 time: 0.0545 data_time: 0.0044 memory: 735 2022/08/09 01:41:29 - mmengine - INFO - Epoch(val) [8][5280/6282] eta: 0:00:56 time: 0.0563 data_time: 0.0053 memory: 735 2022/08/09 01:41:30 - mmengine - INFO - Epoch(val) [8][5300/6282] eta: 0:00:53 time: 0.0543 data_time: 0.0064 memory: 735 2022/08/09 01:41:31 - mmengine - INFO - Epoch(val) [8][5320/6282] eta: 0:00:57 time: 0.0593 data_time: 0.0065 memory: 736 2022/08/09 01:41:33 - mmengine - INFO - Epoch(val) [8][5340/6282] eta: 0:00:53 time: 0.0569 data_time: 0.0049 memory: 736 2022/08/09 01:41:34 - mmengine - INFO - Epoch(val) [8][5360/6282] eta: 0:00:54 time: 0.0587 data_time: 0.0052 memory: 736 2022/08/09 01:41:35 - mmengine - INFO - Epoch(val) [8][5380/6282] eta: 0:00:50 time: 0.0556 data_time: 0.0041 memory: 736 2022/08/09 01:41:36 - mmengine - INFO - Epoch(val) [8][5400/6282] eta: 0:00:50 time: 0.0578 data_time: 0.0075 memory: 736 2022/08/09 01:41:37 - mmengine - INFO - Epoch(val) [8][5420/6282] eta: 0:00:48 time: 0.0558 data_time: 0.0045 memory: 736 2022/08/09 01:41:38 - mmengine - INFO - Epoch(val) [8][5440/6282] eta: 0:00:46 time: 0.0548 data_time: 0.0056 memory: 736 2022/08/09 01:41:39 - mmengine - INFO - Epoch(val) [8][5460/6282] eta: 0:00:46 time: 0.0567 data_time: 0.0050 memory: 736 2022/08/09 01:41:41 - mmengine - INFO - Epoch(val) [8][5480/6282] eta: 0:00:45 time: 0.0563 data_time: 0.0056 memory: 736 2022/08/09 01:41:42 - mmengine - INFO - Epoch(val) [8][5500/6282] eta: 0:00:42 time: 0.0548 data_time: 0.0052 memory: 736 2022/08/09 01:41:43 - mmengine - INFO - Epoch(val) [8][5520/6282] eta: 0:00:43 time: 0.0576 data_time: 0.0054 memory: 761 2022/08/09 01:41:44 - mmengine - INFO - Epoch(val) [8][5540/6282] eta: 0:00:42 time: 0.0574 data_time: 0.0048 memory: 761 2022/08/09 01:41:46 - mmengine - INFO - Epoch(val) [8][5560/6282] eta: 0:01:03 time: 0.0880 data_time: 0.0061 memory: 761 2022/08/09 01:41:47 - mmengine - INFO - Epoch(val) [8][5580/6282] eta: 0:00:42 time: 0.0609 data_time: 0.0051 memory: 761 2022/08/09 01:41:48 - mmengine - INFO - Epoch(val) [8][5600/6282] eta: 0:00:39 time: 0.0584 data_time: 0.0052 memory: 761 2022/08/09 01:41:49 - mmengine - INFO - Epoch(val) [8][5620/6282] eta: 0:00:36 time: 0.0548 data_time: 0.0036 memory: 761 2022/08/09 01:41:50 - mmengine - INFO - Epoch(val) [8][5640/6282] eta: 0:00:34 time: 0.0535 data_time: 0.0043 memory: 736 2022/08/09 01:41:51 - mmengine - INFO - Epoch(val) [8][5660/6282] eta: 0:00:32 time: 0.0526 data_time: 0.0037 memory: 736 2022/08/09 01:41:53 - mmengine - INFO - Epoch(val) [8][5680/6282] eta: 0:00:31 time: 0.0525 data_time: 0.0042 memory: 736 2022/08/09 01:41:54 - mmengine - INFO - Epoch(val) [8][5700/6282] eta: 0:00:29 time: 0.0507 data_time: 0.0038 memory: 736 2022/08/09 01:41:55 - mmengine - INFO - Epoch(val) [8][5720/6282] eta: 0:00:32 time: 0.0582 data_time: 0.0077 memory: 777 2022/08/09 01:41:56 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:31 time: 0.0581 data_time: 0.0064 memory: 777 2022/08/09 01:41:57 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:31 time: 0.0595 data_time: 0.0052 memory: 777 2022/08/09 01:41:58 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:28 time: 0.0569 data_time: 0.0047 memory: 777 2022/08/09 01:41:59 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:28 time: 0.0596 data_time: 0.0050 memory: 777 2022/08/09 01:42:01 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:27 time: 0.0587 data_time: 0.0046 memory: 777 2022/08/09 01:42:02 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:25 time: 0.0580 data_time: 0.0060 memory: 761 2022/08/09 01:42:03 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:25 time: 0.0601 data_time: 0.0051 memory: 761 2022/08/09 01:42:04 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:24 time: 0.0614 data_time: 0.0068 memory: 761 2022/08/09 01:42:06 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:31 time: 0.0820 data_time: 0.0067 memory: 761 2022/08/09 01:42:07 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:20 time: 0.0557 data_time: 0.0047 memory: 761 2022/08/09 01:42:08 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:18 time: 0.0549 data_time: 0.0050 memory: 736 2022/08/09 01:42:09 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:17 time: 0.0534 data_time: 0.0041 memory: 736 2022/08/09 01:42:10 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:16 time: 0.0546 data_time: 0.0048 memory: 736 2022/08/09 01:42:12 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:19 time: 0.0690 data_time: 0.0057 memory: 806 2022/08/09 01:42:13 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:17 time: 0.0680 data_time: 0.0058 memory: 806 2022/08/09 01:42:14 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:16 time: 0.0677 data_time: 0.0064 memory: 806 2022/08/09 01:42:16 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:14 time: 0.0660 data_time: 0.0051 memory: 806 2022/08/09 01:42:17 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:00:13 time: 0.0680 data_time: 0.0058 memory: 806 2022/08/09 01:42:19 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:16 time: 0.0921 data_time: 0.0062 memory: 806 2022/08/09 01:42:20 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:11 time: 0.0682 data_time: 0.0040 memory: 806 2022/08/09 01:42:22 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:09 time: 0.0649 data_time: 0.0052 memory: 806 2022/08/09 01:42:23 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:07 time: 0.0616 data_time: 0.0049 memory: 806 2022/08/09 01:42:24 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:06 time: 0.0615 data_time: 0.0049 memory: 806 2022/08/09 01:42:25 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:05 time: 0.0624 data_time: 0.0032 memory: 806 2022/08/09 01:42:27 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:03 time: 0.0545 data_time: 0.0031 memory: 806 2022/08/09 01:42:28 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:02 time: 0.0540 data_time: 0.0030 memory: 806 2022/08/09 01:42:29 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:01 time: 0.0531 data_time: 0.0028 memory: 806 2022/08/09 01:42:30 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0527 data_time: 0.0025 memory: 806 2022/08/09 01:46:44 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.2529 2022/08/09 01:47:01 - mmengine - INFO - Epoch(train) [9][20/2881] lr: 1.0000e-01 eta: 6:25:50 time: 0.8020 data_time: 0.2138 memory: 13802 grad_norm: 0.1566 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7500 recall@top3: 0.6970 prec@top3: 0.5303 recall@top5: 0.9091 prec@top5: 0.4000 loss_action_cls: 0.0373 loss: 0.0373 2022/08/09 01:47:13 - mmengine - INFO - Epoch(train) [9][40/2881] lr: 1.0000e-01 eta: 6:25:35 time: 0.6295 data_time: 0.0237 memory: 13802 grad_norm: 0.1523 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8580 recall@top3: 0.8457 prec@top3: 0.8519 recall@top5: 0.9660 prec@top5: 0.6000 loss_action_cls: 0.0384 loss: 0.0384 2022/08/09 01:47:26 - mmengine - INFO - Epoch(train) [9][60/2881] lr: 1.0000e-01 eta: 6:25:21 time: 0.6619 data_time: 0.0240 memory: 13802 grad_norm: 0.1650 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8733 recall@top3: 0.9333 prec@top3: 0.7067 recall@top5: 0.9667 prec@top5: 0.4480 loss_action_cls: 0.0381 loss: 0.0381 2022/08/09 01:47:39 - mmengine - INFO - Epoch(train) [9][80/2881] lr: 1.0000e-01 eta: 6:25:06 time: 0.6080 data_time: 0.0247 memory: 13802 grad_norm: 0.1527 recall@thr=0.5: 0.6545 prec@thr=0.5: 0.8864 recall@top3: 0.7326 prec@top3: 0.6212 recall@top5: 0.9098 prec@top5: 0.4818 loss_action_cls: 0.0384 loss: 0.0384 2022/08/09 01:47:51 - mmengine - INFO - Epoch(train) [9][100/2881] lr: 1.0000e-01 eta: 6:24:52 time: 0.6339 data_time: 0.0232 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.7275 prec@thr=0.5: 0.7703 recall@top3: 0.7635 prec@top3: 0.7207 recall@top5: 0.9369 prec@top5: 0.5405 loss_action_cls: 0.0384 loss: 0.0384 2022/08/09 01:48:04 - mmengine - INFO - Epoch(train) [9][120/2881] lr: 1.0000e-01 eta: 6:24:37 time: 0.6346 data_time: 0.0266 memory: 13802 grad_norm: 0.1546 recall@thr=0.5: 0.9015 prec@thr=0.5: 0.8864 recall@top3: 0.8902 prec@top3: 0.6818 recall@top5: 0.9621 prec@top5: 0.4636 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 01:48:17 - mmengine - INFO - Epoch(train) [9][140/2881] lr: 1.0000e-01 eta: 6:24:23 time: 0.6533 data_time: 0.0218 memory: 13802 grad_norm: 0.1642 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8070 recall@top3: 0.7588 prec@top3: 0.6842 recall@top5: 0.8947 prec@top5: 0.4947 loss_action_cls: 0.0443 loss: 0.0443 2022/08/09 01:48:30 - mmengine - INFO - Epoch(train) [9][160/2881] lr: 1.0000e-01 eta: 6:24:09 time: 0.6426 data_time: 0.0210 memory: 13802 grad_norm: 0.1576 recall@thr=0.5: 0.8949 prec@thr=0.5: 0.8514 recall@top3: 0.9601 prec@top3: 0.6522 recall@top5: 0.9855 prec@top5: 0.4087 loss_action_cls: 0.0380 loss: 0.0380 2022/08/09 01:48:42 - mmengine - INFO - Epoch(train) [9][180/2881] lr: 1.0000e-01 eta: 6:23:54 time: 0.6274 data_time: 0.0207 memory: 13802 grad_norm: 0.1508 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7460 recall@top3: 0.8810 prec@top3: 0.6984 recall@top5: 0.9405 prec@top5: 0.4571 loss_action_cls: 0.0399 loss: 0.0399 2022/08/09 01:48:54 - mmengine - INFO - Epoch(train) [9][200/2881] lr: 1.0000e-01 eta: 6:23:39 time: 0.6036 data_time: 0.0227 memory: 13802 grad_norm: 0.1658 recall@thr=0.5: 0.6058 prec@thr=0.5: 0.6859 recall@top3: 0.8301 prec@top3: 0.7179 recall@top5: 0.9103 prec@top5: 0.4846 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 01:49:07 - mmengine - INFO - Epoch(train) [9][220/2881] lr: 1.0000e-01 eta: 6:23:25 time: 0.6461 data_time: 0.0223 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.7192 prec@thr=0.5: 0.8365 recall@top3: 0.8667 prec@top3: 0.8333 recall@top5: 0.9205 prec@top5: 0.5462 loss_action_cls: 0.0416 loss: 0.0416 2022/08/09 01:49:20 - mmengine - INFO - Epoch(train) [9][240/2881] lr: 1.0000e-01 eta: 6:23:10 time: 0.6287 data_time: 0.0221 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.8369 prec@thr=0.5: 0.8333 recall@top3: 0.8637 prec@top3: 0.7381 recall@top5: 0.9679 prec@top5: 0.5000 loss_action_cls: 0.0349 loss: 0.0349 2022/08/09 01:49:32 - mmengine - INFO - Epoch(train) [9][260/2881] lr: 1.0000e-01 eta: 6:22:55 time: 0.6062 data_time: 0.0231 memory: 13802 grad_norm: 0.1517 recall@thr=0.5: 0.7567 prec@thr=0.5: 0.8083 recall@top3: 0.8308 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.5200 loss_action_cls: 0.0354 loss: 0.0354 2022/08/09 01:49:45 - mmengine - INFO - Epoch(train) [9][280/2881] lr: 1.0000e-01 eta: 6:22:41 time: 0.6297 data_time: 0.0214 memory: 13802 grad_norm: 0.1613 recall@thr=0.5: 0.7529 prec@thr=0.5: 0.8333 recall@top3: 0.8448 prec@top3: 0.7011 recall@top5: 0.9339 prec@top5: 0.4828 loss_action_cls: 0.0401 loss: 0.0401 2022/08/09 01:49:57 - mmengine - INFO - Epoch(train) [9][300/2881] lr: 1.0000e-01 eta: 6:22:26 time: 0.6334 data_time: 0.0219 memory: 13802 grad_norm: 0.1664 recall@thr=0.5: 0.7124 prec@thr=0.5: 0.7903 recall@top3: 0.8011 prec@top3: 0.6774 recall@top5: 0.9597 prec@top5: 0.4968 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 01:50:10 - mmengine - INFO - Epoch(train) [9][320/2881] lr: 1.0000e-01 eta: 6:22:12 time: 0.6397 data_time: 0.0222 memory: 13802 grad_norm: 0.1596 recall@thr=0.5: 0.8900 prec@thr=0.5: 0.8000 recall@top3: 0.8667 prec@top3: 0.7200 recall@top5: 0.9433 prec@top5: 0.4880 loss_action_cls: 0.0389 loss: 0.0389 2022/08/09 01:50:23 - mmengine - INFO - Epoch(train) [9][340/2881] lr: 1.0000e-01 eta: 6:21:57 time: 0.6304 data_time: 0.0232 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.7333 recall@top3: 0.8222 prec@top3: 0.5556 recall@top5: 0.8222 prec@top5: 0.3333 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 01:50:35 - mmengine - INFO - Epoch(train) [9][360/2881] lr: 1.0000e-01 eta: 6:21:43 time: 0.6295 data_time: 0.0224 memory: 13802 grad_norm: 0.1493 recall@thr=0.5: 0.5825 prec@thr=0.5: 0.7500 recall@top3: 0.7373 prec@top3: 0.7143 recall@top5: 0.8548 prec@top5: 0.5143 loss_action_cls: 0.0451 loss: 0.0451 2022/08/09 01:50:48 - mmengine - INFO - Epoch(train) [9][380/2881] lr: 1.0000e-01 eta: 6:21:28 time: 0.6352 data_time: 0.0229 memory: 13802 grad_norm: 0.1617 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.6250 recall@top3: 0.6515 prec@top3: 0.4091 recall@top5: 0.8977 prec@top5: 0.3182 loss_action_cls: 0.0349 loss: 0.0349 2022/08/09 01:51:01 - mmengine - INFO - Epoch(train) [9][400/2881] lr: 1.0000e-01 eta: 6:21:14 time: 0.6295 data_time: 0.0211 memory: 13802 grad_norm: 0.1563 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.8000 recall@top3: 0.8042 prec@top3: 0.7667 recall@top5: 0.8917 prec@top5: 0.5200 loss_action_cls: 0.0401 loss: 0.0401 2022/08/09 01:51:13 - mmengine - INFO - Epoch(train) [9][420/2881] lr: 1.0000e-01 eta: 6:20:59 time: 0.6278 data_time: 0.0214 memory: 13802 grad_norm: 0.1590 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8542 recall@top3: 0.9167 prec@top3: 0.7292 recall@top5: 0.9792 prec@top5: 0.4750 loss_action_cls: 0.0346 loss: 0.0346 2022/08/09 01:51:26 - mmengine - INFO - Epoch(train) [9][440/2881] lr: 1.0000e-01 eta: 6:20:45 time: 0.6459 data_time: 0.0216 memory: 13802 grad_norm: 0.1635 recall@thr=0.5: 0.7712 prec@thr=0.5: 0.8750 recall@top3: 0.9212 prec@top3: 0.7727 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0452 loss: 0.0452 2022/08/09 01:51:38 - mmengine - INFO - Epoch(train) [9][460/2881] lr: 1.0000e-01 eta: 6:20:30 time: 0.6076 data_time: 0.0218 memory: 13802 grad_norm: 0.1693 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7262 recall@top3: 0.7778 prec@top3: 0.6508 recall@top5: 0.9603 prec@top5: 0.5048 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 01:51:51 - mmengine - INFO - Epoch(train) [9][480/2881] lr: 1.0000e-01 eta: 6:20:16 time: 0.6389 data_time: 0.0224 memory: 13802 grad_norm: 0.1586 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.8254 recall@top3: 0.8889 prec@top3: 0.7460 recall@top5: 0.9762 prec@top5: 0.5048 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 01:52:04 - mmengine - INFO - Epoch(train) [9][500/2881] lr: 1.0000e-01 eta: 6:20:01 time: 0.6270 data_time: 0.0223 memory: 13802 grad_norm: 0.1529 recall@thr=0.5: 0.6861 prec@thr=0.5: 0.7433 recall@top3: 0.8139 prec@top3: 0.7667 recall@top5: 0.9361 prec@top5: 0.5333 loss_action_cls: 0.0355 loss: 0.0355 2022/08/09 01:52:16 - mmengine - INFO - Epoch(train) [9][520/2881] lr: 1.0000e-01 eta: 6:19:47 time: 0.6370 data_time: 0.0223 memory: 13802 grad_norm: 0.1570 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.8179 recall@top3: 0.8272 prec@top3: 0.6790 recall@top5: 0.9074 prec@top5: 0.4593 loss_action_cls: 0.0419 loss: 0.0419 2022/08/09 01:52:29 - mmengine - INFO - Epoch(train) [9][540/2881] lr: 1.0000e-01 eta: 6:19:32 time: 0.6339 data_time: 0.0227 memory: 13802 grad_norm: 0.1684 recall@thr=0.5: 0.6074 prec@thr=0.5: 0.6296 recall@top3: 0.6074 prec@top3: 0.5370 recall@top5: 0.7278 prec@top5: 0.3889 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 01:52:41 - mmengine - INFO - Epoch(train) [9][560/2881] lr: 1.0000e-01 eta: 6:19:18 time: 0.6220 data_time: 0.0212 memory: 13802 grad_norm: 0.1533 recall@thr=0.5: 0.6967 prec@thr=0.5: 0.8067 recall@top3: 0.8067 prec@top3: 0.7067 recall@top5: 0.9567 prec@top5: 0.5120 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 01:52:54 - mmengine - INFO - Epoch(train) [9][580/2881] lr: 1.0000e-01 eta: 6:19:03 time: 0.6286 data_time: 0.0219 memory: 13802 grad_norm: 0.1610 recall@thr=0.5: 0.7628 prec@thr=0.5: 0.8353 recall@top3: 0.8494 prec@top3: 0.6154 recall@top5: 0.9423 prec@top5: 0.4231 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 01:53:07 - mmengine - INFO - Epoch(train) [9][600/2881] lr: 1.0000e-01 eta: 6:18:49 time: 0.6327 data_time: 0.0228 memory: 13802 grad_norm: 0.1590 recall@thr=0.5: 0.7023 prec@thr=0.5: 0.8295 recall@top3: 0.8606 prec@top3: 0.8182 recall@top5: 0.9758 prec@top5: 0.5727 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 01:53:19 - mmengine - INFO - Epoch(train) [9][620/2881] lr: 1.0000e-01 eta: 6:18:33 time: 0.6069 data_time: 0.0223 memory: 13802 grad_norm: 0.1495 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8485 recall@top3: 0.9508 prec@top3: 0.7273 recall@top5: 0.9848 prec@top5: 0.4636 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 01:53:31 - mmengine - INFO - Epoch(train) [9][640/2881] lr: 1.0000e-01 eta: 6:18:19 time: 0.6259 data_time: 0.0217 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.7708 prec@top3: 0.5625 recall@top5: 0.8542 prec@top5: 0.3875 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 01:53:44 - mmengine - INFO - Epoch(train) [9][660/2881] lr: 1.0000e-01 eta: 6:18:04 time: 0.6104 data_time: 0.0218 memory: 13802 grad_norm: 0.1568 recall@thr=0.5: 0.7699 prec@thr=0.5: 0.7923 recall@top3: 0.8122 prec@top3: 0.7179 recall@top5: 0.8981 prec@top5: 0.4923 loss_action_cls: 0.0405 loss: 0.0405 2022/08/09 01:53:56 - mmengine - INFO - Epoch(train) [9][680/2881] lr: 1.0000e-01 eta: 6:17:50 time: 0.6383 data_time: 0.0232 memory: 13802 grad_norm: 0.1548 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8580 recall@top3: 0.8951 prec@top3: 0.6049 recall@top5: 0.9753 prec@top5: 0.4148 loss_action_cls: 0.0340 loss: 0.0340 2022/08/09 01:54:09 - mmengine - INFO - Epoch(train) [9][700/2881] lr: 1.0000e-01 eta: 6:17:35 time: 0.6257 data_time: 0.0217 memory: 13802 grad_norm: 0.1570 recall@thr=0.5: 0.5978 prec@thr=0.5: 0.7572 recall@top3: 0.7609 prec@top3: 0.6377 recall@top5: 0.8949 prec@top5: 0.4696 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 01:54:21 - mmengine - INFO - Epoch(train) [9][720/2881] lr: 1.0000e-01 eta: 6:17:20 time: 0.6246 data_time: 0.0210 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.8160 prec@thr=0.5: 0.9167 recall@top3: 0.8333 prec@top3: 0.7778 recall@top5: 0.9340 prec@top5: 0.5417 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 01:54:34 - mmengine - INFO - Epoch(train) [9][740/2881] lr: 1.0000e-01 eta: 6:17:06 time: 0.6317 data_time: 0.0223 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.9211 recall@top3: 0.8596 prec@top3: 0.7193 recall@top5: 0.9825 prec@top5: 0.5158 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 01:54:47 - mmengine - INFO - Epoch(train) [9][760/2881] lr: 1.0000e-01 eta: 6:16:52 time: 0.6389 data_time: 0.0278 memory: 13802 grad_norm: 0.1632 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.7237 recall@top3: 0.7500 prec@top3: 0.5614 recall@top5: 0.8289 prec@top5: 0.4000 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 01:55:00 - mmengine - INFO - Epoch(train) [9][780/2881] lr: 1.0000e-01 eta: 6:16:37 time: 0.6371 data_time: 0.0209 memory: 13802 grad_norm: 0.1555 recall@thr=0.5: 0.6860 prec@thr=0.5: 0.8246 recall@top3: 0.8009 prec@top3: 0.8070 recall@top5: 0.9105 prec@top5: 0.5684 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 01:55:12 - mmengine - INFO - Epoch(train) [9][800/2881] lr: 1.0000e-01 eta: 6:16:22 time: 0.6139 data_time: 0.0235 memory: 13802 grad_norm: 0.1675 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7604 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.9097 prec@top5: 0.4750 loss_action_cls: 0.0427 loss: 0.0427 2022/08/09 01:55:24 - mmengine - INFO - Epoch(train) [9][820/2881] lr: 1.0000e-01 eta: 6:16:08 time: 0.6259 data_time: 0.0220 memory: 13802 grad_norm: 0.1616 recall@thr=0.5: 0.7448 prec@thr=0.5: 0.8542 recall@top3: 0.7969 prec@top3: 0.5625 recall@top5: 0.8958 prec@top5: 0.3875 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 01:55:37 - mmengine - INFO - Epoch(train) [9][840/2881] lr: 1.0000e-01 eta: 6:15:54 time: 0.6349 data_time: 0.0203 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.8580 prec@thr=0.5: 0.7901 recall@top3: 0.9012 prec@top3: 0.6173 recall@top5: 0.9877 prec@top5: 0.4074 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 01:55:49 - mmengine - INFO - Epoch(train) [9][860/2881] lr: 1.0000e-01 eta: 6:15:38 time: 0.6063 data_time: 0.0262 memory: 13802 grad_norm: 0.1506 recall@thr=0.5: 0.6895 prec@thr=0.5: 0.7191 recall@top3: 0.7883 prec@top3: 0.6667 recall@top5: 0.9414 prec@top5: 0.5111 loss_action_cls: 0.0405 loss: 0.0405 2022/08/09 01:56:01 - mmengine - INFO - Epoch(train) [9][880/2881] lr: 1.0000e-01 eta: 6:15:24 time: 0.6155 data_time: 0.0210 memory: 13802 grad_norm: 0.1582 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.8561 recall@top3: 0.8068 prec@top3: 0.8030 recall@top5: 0.9583 prec@top5: 0.5909 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 01:56:14 - mmengine - INFO - Epoch(train) [9][900/2881] lr: 1.0000e-01 eta: 6:15:09 time: 0.6306 data_time: 0.0215 memory: 13802 grad_norm: 0.1562 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.7018 recall@top3: 0.8158 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 01:56:27 - mmengine - INFO - Epoch(train) [9][920/2881] lr: 1.0000e-01 eta: 6:14:55 time: 0.6313 data_time: 0.0221 memory: 13802 grad_norm: 0.1570 recall@thr=0.5: 0.9462 prec@thr=0.5: 0.7258 recall@top3: 0.9785 prec@top3: 0.5269 recall@top5: 1.0000 prec@top5: 0.3290 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 01:56:39 - mmengine - INFO - Epoch(train) [9][940/2881] lr: 1.0000e-01 eta: 6:14:40 time: 0.6044 data_time: 0.0205 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.9259 prec@thr=0.5: 0.9537 recall@top3: 0.9444 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0354 loss: 0.0354 2022/08/09 01:56:47 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 01:56:51 - mmengine - INFO - Epoch(train) [9][960/2881] lr: 1.0000e-01 eta: 6:14:25 time: 0.6331 data_time: 0.0214 memory: 13802 grad_norm: 0.1587 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8426 recall@top3: 0.8565 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 01:57:04 - mmengine - INFO - Epoch(train) [9][980/2881] lr: 1.0000e-01 eta: 6:14:11 time: 0.6351 data_time: 0.0224 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.6667 recall@top3: 0.8431 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0373 loss: 0.0373 2022/08/09 01:57:17 - mmengine - INFO - Epoch(train) [9][1000/2881] lr: 1.0000e-01 eta: 6:13:57 time: 0.6462 data_time: 0.0203 memory: 13802 grad_norm: 0.1585 recall@thr=0.5: 0.7846 prec@thr=0.5: 0.9199 recall@top3: 0.8615 prec@top3: 0.7564 recall@top5: 0.9590 prec@top5: 0.5154 loss_action_cls: 0.0428 loss: 0.0428 2022/08/09 01:57:29 - mmengine - INFO - Epoch(train) [9][1020/2881] lr: 1.0000e-01 eta: 6:13:42 time: 0.6122 data_time: 0.0274 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.7363 prec@thr=0.5: 0.8824 recall@top3: 0.8221 prec@top3: 0.7255 recall@top5: 0.9392 prec@top5: 0.5118 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 01:57:42 - mmengine - INFO - Epoch(train) [9][1040/2881] lr: 1.0000e-01 eta: 6:13:27 time: 0.6295 data_time: 0.0198 memory: 13802 grad_norm: 0.1603 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.7460 recall@top3: 0.9048 prec@top3: 0.5873 recall@top5: 0.9524 prec@top5: 0.3810 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 01:57:54 - mmengine - INFO - Epoch(train) [9][1060/2881] lr: 1.0000e-01 eta: 6:13:13 time: 0.6279 data_time: 0.0221 memory: 13802 grad_norm: 0.1658 recall@thr=0.5: 0.7929 prec@thr=0.5: 0.9286 recall@top3: 0.8738 prec@top3: 0.6508 recall@top5: 0.9333 prec@top5: 0.4286 loss_action_cls: 0.0401 loss: 0.0401 2022/08/09 01:58:07 - mmengine - INFO - Epoch(train) [9][1080/2881] lr: 1.0000e-01 eta: 6:12:59 time: 0.6342 data_time: 0.0198 memory: 13802 grad_norm: 0.1608 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.5800 recall@top3: 0.8400 prec@top3: 0.5867 recall@top5: 0.9667 prec@top5: 0.4080 loss_action_cls: 0.0393 loss: 0.0393 2022/08/09 01:58:20 - mmengine - INFO - Epoch(train) [9][1100/2881] lr: 1.0000e-01 eta: 6:12:44 time: 0.6379 data_time: 0.0227 memory: 13802 grad_norm: 0.1654 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.8125 recall@top3: 0.9271 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4000 loss_action_cls: 0.0405 loss: 0.0405 2022/08/09 01:58:33 - mmengine - INFO - Epoch(train) [9][1120/2881] lr: 1.0000e-01 eta: 6:12:30 time: 0.6306 data_time: 0.0225 memory: 13802 grad_norm: 0.1516 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8457 recall@top3: 0.8519 prec@top3: 0.7531 recall@top5: 1.0000 prec@top5: 0.5407 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 01:58:45 - mmengine - INFO - Epoch(train) [9][1140/2881] lr: 1.0000e-01 eta: 6:12:16 time: 0.6288 data_time: 0.0242 memory: 13802 grad_norm: 0.1570 recall@thr=0.5: 0.8833 prec@thr=0.5: 0.8667 recall@top3: 0.9833 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0378 loss: 0.0378 2022/08/09 01:58:58 - mmengine - INFO - Epoch(train) [9][1160/2881] lr: 1.0000e-01 eta: 6:12:01 time: 0.6289 data_time: 0.0238 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7431 recall@top3: 0.8194 prec@top3: 0.5694 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 01:59:10 - mmengine - INFO - Epoch(train) [9][1180/2881] lr: 1.0000e-01 eta: 6:11:46 time: 0.6086 data_time: 0.0232 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.3718 prec@thr=0.5: 0.4359 recall@top3: 0.5769 prec@top3: 0.4103 recall@top5: 0.8462 prec@top5: 0.3538 loss_action_cls: 0.0394 loss: 0.0394 2022/08/09 01:59:23 - mmengine - INFO - Epoch(train) [9][1200/2881] lr: 1.0000e-01 eta: 6:11:32 time: 0.6321 data_time: 0.0203 memory: 13802 grad_norm: 0.1595 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8472 recall@top3: 0.8333 prec@top3: 0.7361 recall@top5: 0.9167 prec@top5: 0.4917 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 01:59:38 - mmengine - INFO - Epoch(train) [9][1220/2881] lr: 1.0000e-01 eta: 6:11:22 time: 0.7800 data_time: 0.0219 memory: 13802 grad_norm: 0.1442 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.7727 recall@top3: 0.8864 prec@top3: 0.6818 recall@top5: 0.9545 prec@top5: 0.4545 loss_action_cls: 0.0380 loss: 0.0380 2022/08/09 01:59:50 - mmengine - INFO - Epoch(train) [9][1240/2881] lr: 1.0000e-01 eta: 6:11:07 time: 0.6121 data_time: 0.0251 memory: 13802 grad_norm: 0.1606 recall@thr=0.5: 0.8152 prec@thr=0.5: 0.8717 recall@top3: 0.8297 prec@top3: 0.7246 recall@top5: 0.9312 prec@top5: 0.5043 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 02:00:03 - mmengine - INFO - Epoch(train) [9][1260/2881] lr: 1.0000e-01 eta: 6:10:52 time: 0.6338 data_time: 0.0214 memory: 13802 grad_norm: 0.1615 recall@thr=0.5: 0.7098 prec@thr=0.5: 0.8725 recall@top3: 0.7980 prec@top3: 0.6667 recall@top5: 0.9294 prec@top5: 0.4824 loss_action_cls: 0.0392 loss: 0.0392 2022/08/09 02:00:17 - mmengine - INFO - Epoch(train) [9][1280/2881] lr: 1.0000e-01 eta: 6:10:40 time: 0.7062 data_time: 0.0229 memory: 13802 grad_norm: 0.1581 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7315 recall@top3: 0.7963 prec@top3: 0.5741 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 02:00:30 - mmengine - INFO - Epoch(train) [9][1300/2881] lr: 1.0000e-01 eta: 6:10:26 time: 0.6477 data_time: 0.0268 memory: 13802 grad_norm: 0.1568 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.9091 recall@top3: 0.8977 prec@top3: 0.7424 recall@top5: 0.9848 prec@top5: 0.4818 loss_action_cls: 0.0383 loss: 0.0383 2022/08/09 02:00:42 - mmengine - INFO - Epoch(train) [9][1320/2881] lr: 1.0000e-01 eta: 6:10:11 time: 0.6150 data_time: 0.0270 memory: 13802 grad_norm: 0.1603 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7292 recall@top3: 0.8438 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0344 loss: 0.0344 2022/08/09 02:00:55 - mmengine - INFO - Epoch(train) [9][1340/2881] lr: 1.0000e-01 eta: 6:09:57 time: 0.6260 data_time: 0.0198 memory: 13802 grad_norm: 0.1656 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8917 recall@top3: 0.9167 prec@top3: 0.6889 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0359 loss: 0.0359 2022/08/09 02:01:08 - mmengine - INFO - Epoch(train) [9][1360/2881] lr: 1.0000e-01 eta: 6:09:43 time: 0.6360 data_time: 0.0215 memory: 13802 grad_norm: 0.1570 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7167 recall@top3: 0.8583 prec@top3: 0.6167 recall@top5: 0.9750 prec@top5: 0.4300 loss_action_cls: 0.0369 loss: 0.0369 2022/08/09 02:01:20 - mmengine - INFO - Epoch(train) [9][1380/2881] lr: 1.0000e-01 eta: 6:09:28 time: 0.6326 data_time: 0.0263 memory: 13802 grad_norm: 0.1470 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9074 recall@top3: 0.8586 prec@top3: 0.6543 recall@top5: 0.9173 prec@top5: 0.4296 loss_action_cls: 0.0428 loss: 0.0428 2022/08/09 02:01:33 - mmengine - INFO - Epoch(train) [9][1400/2881] lr: 1.0000e-01 eta: 6:09:14 time: 0.6475 data_time: 0.0202 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.5688 prec@thr=0.5: 0.7754 recall@top3: 0.8370 prec@top3: 0.6377 recall@top5: 0.9783 prec@top5: 0.4609 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:01:46 - mmengine - INFO - Epoch(train) [9][1420/2881] lr: 1.0000e-01 eta: 6:09:00 time: 0.6151 data_time: 0.0234 memory: 13802 grad_norm: 0.1688 recall@thr=0.5: 0.8058 prec@thr=0.5: 0.8750 recall@top3: 0.8183 prec@top3: 0.7833 recall@top5: 0.9342 prec@top5: 0.5500 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:01:58 - mmengine - INFO - Epoch(train) [9][1440/2881] lr: 1.0000e-01 eta: 6:08:45 time: 0.6358 data_time: 0.0219 memory: 13802 grad_norm: 0.1629 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.9275 recall@top3: 0.9058 prec@top3: 0.6957 recall@top5: 0.9710 prec@top5: 0.4696 loss_action_cls: 0.0353 loss: 0.0353 2022/08/09 02:02:11 - mmengine - INFO - Epoch(train) [9][1460/2881] lr: 1.0000e-01 eta: 6:08:31 time: 0.6305 data_time: 0.0221 memory: 13802 grad_norm: 0.1609 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8426 recall@top3: 0.8889 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:02:23 - mmengine - INFO - Epoch(train) [9][1480/2881] lr: 1.0000e-01 eta: 6:08:16 time: 0.6082 data_time: 0.0224 memory: 13802 grad_norm: 0.1569 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.6970 recall@top3: 0.7765 prec@top3: 0.6667 recall@top5: 0.9621 prec@top5: 0.5182 loss_action_cls: 0.0369 loss: 0.0369 2022/08/09 02:02:36 - mmengine - INFO - Epoch(train) [9][1500/2881] lr: 1.0000e-01 eta: 6:08:02 time: 0.6431 data_time: 0.0266 memory: 13802 grad_norm: 0.1572 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8684 recall@top3: 0.8596 prec@top3: 0.6491 recall@top5: 0.9737 prec@top5: 0.4526 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 02:02:49 - mmengine - INFO - Epoch(train) [9][1520/2881] lr: 1.0000e-01 eta: 6:07:48 time: 0.6341 data_time: 0.0221 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8333 recall@top3: 0.8906 prec@top3: 0.7292 recall@top5: 0.9844 prec@top5: 0.5000 loss_action_cls: 0.0423 loss: 0.0423 2022/08/09 02:03:02 - mmengine - INFO - Epoch(train) [9][1540/2881] lr: 1.0000e-01 eta: 6:07:34 time: 0.6446 data_time: 0.0223 memory: 13802 grad_norm: 0.1566 recall@thr=0.5: 0.4105 prec@thr=0.5: 0.5926 recall@top3: 0.7160 prec@top3: 0.5185 recall@top5: 0.8951 prec@top5: 0.4000 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 02:03:14 - mmengine - INFO - Epoch(train) [9][1560/2881] lr: 1.0000e-01 eta: 6:07:19 time: 0.6080 data_time: 0.0210 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.5833 recall@top3: 0.6417 prec@top3: 0.4833 recall@top5: 0.8000 prec@top5: 0.3800 loss_action_cls: 0.0393 loss: 0.0393 2022/08/09 02:03:26 - mmengine - INFO - Epoch(train) [9][1580/2881] lr: 1.0000e-01 eta: 6:07:04 time: 0.6291 data_time: 0.0213 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.7212 prec@thr=0.5: 0.8750 recall@top3: 0.8462 prec@top3: 0.7308 recall@top5: 0.9519 prec@top5: 0.5000 loss_action_cls: 0.0386 loss: 0.0386 2022/08/09 02:03:39 - mmengine - INFO - Epoch(train) [9][1600/2881] lr: 1.0000e-01 eta: 6:06:50 time: 0.6289 data_time: 0.0212 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.6917 recall@top3: 0.7375 prec@top3: 0.6500 recall@top5: 0.8958 prec@top5: 0.4900 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 02:03:51 - mmengine - INFO - Epoch(train) [9][1620/2881] lr: 1.0000e-01 eta: 6:06:35 time: 0.6036 data_time: 0.0220 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.6792 prec@thr=0.5: 0.8125 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.8125 prec@top5: 0.4200 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 02:04:04 - mmengine - INFO - Epoch(train) [9][1640/2881] lr: 1.0000e-01 eta: 6:06:21 time: 0.6330 data_time: 0.0223 memory: 13802 grad_norm: 0.1637 recall@thr=0.5: 0.6090 prec@thr=0.5: 0.6923 recall@top3: 0.6987 prec@top3: 0.5641 recall@top5: 0.9199 prec@top5: 0.4538 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 02:04:16 - mmengine - INFO - Epoch(train) [9][1660/2881] lr: 1.0000e-01 eta: 6:06:06 time: 0.6117 data_time: 0.0209 memory: 13802 grad_norm: 0.1563 recall@thr=0.5: 0.7988 prec@thr=0.5: 0.8304 recall@top3: 0.7988 prec@top3: 0.6071 recall@top5: 0.9327 prec@top5: 0.4357 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 02:04:29 - mmengine - INFO - Epoch(train) [9][1680/2881] lr: 1.0000e-01 eta: 6:05:52 time: 0.6384 data_time: 0.0221 memory: 13802 grad_norm: 0.1581 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.7917 recall@top3: 0.8244 prec@top3: 0.7619 recall@top5: 0.9524 prec@top5: 0.5286 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 02:04:41 - mmengine - INFO - Epoch(train) [9][1700/2881] lr: 1.0000e-01 eta: 6:05:37 time: 0.6280 data_time: 0.0228 memory: 13802 grad_norm: 0.1501 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7955 recall@top3: 0.8295 prec@top3: 0.7273 recall@top5: 0.9545 prec@top5: 0.5091 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:04:54 - mmengine - INFO - Epoch(train) [9][1720/2881] lr: 1.0000e-01 eta: 6:05:23 time: 0.6302 data_time: 0.0214 memory: 13802 grad_norm: 0.1573 recall@thr=0.5: 0.7759 prec@thr=0.5: 0.7126 recall@top3: 0.7356 prec@top3: 0.5402 recall@top5: 0.9023 prec@top5: 0.4000 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 02:05:07 - mmengine - INFO - Epoch(train) [9][1740/2881] lr: 1.0000e-01 eta: 6:05:09 time: 0.6598 data_time: 0.0220 memory: 13802 grad_norm: 0.1573 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8070 recall@top3: 0.8772 prec@top3: 0.6140 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:05:19 - mmengine - INFO - Epoch(train) [9][1760/2881] lr: 1.0000e-01 eta: 6:04:55 time: 0.6069 data_time: 0.0258 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.5863 prec@thr=0.5: 0.7708 recall@top3: 0.7470 prec@top3: 0.7024 recall@top5: 0.9375 prec@top5: 0.5429 loss_action_cls: 0.0373 loss: 0.0373 2022/08/09 02:05:32 - mmengine - INFO - Epoch(train) [9][1780/2881] lr: 1.0000e-01 eta: 6:04:40 time: 0.6301 data_time: 0.0234 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.7370 prec@thr=0.5: 0.8958 recall@top3: 0.8281 prec@top3: 0.7083 recall@top5: 0.9193 prec@top5: 0.4812 loss_action_cls: 0.0366 loss: 0.0366 2022/08/09 02:05:44 - mmengine - INFO - Epoch(train) [9][1800/2881] lr: 1.0000e-01 eta: 6:04:26 time: 0.6298 data_time: 0.0222 memory: 13802 grad_norm: 0.1530 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.8231 recall@top3: 0.8788 prec@top3: 0.8205 recall@top5: 0.9314 prec@top5: 0.5308 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 02:05:57 - mmengine - INFO - Epoch(train) [9][1820/2881] lr: 1.0000e-01 eta: 6:04:12 time: 0.6313 data_time: 0.0222 memory: 13802 grad_norm: 0.1607 recall@thr=0.5: 0.5245 prec@thr=0.5: 0.6765 recall@top3: 0.7990 prec@top3: 0.6078 recall@top5: 0.8529 prec@top5: 0.4000 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 02:06:10 - mmengine - INFO - Epoch(train) [9][1840/2881] lr: 1.0000e-01 eta: 6:03:58 time: 0.6481 data_time: 0.0275 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.4912 prec@thr=0.5: 0.7982 recall@top3: 0.6886 prec@top3: 0.5439 recall@top5: 0.7895 prec@top5: 0.3895 loss_action_cls: 0.0400 loss: 0.0400 2022/08/09 02:06:22 - mmengine - INFO - Epoch(train) [9][1860/2881] lr: 1.0000e-01 eta: 6:03:43 time: 0.6079 data_time: 0.0224 memory: 13802 grad_norm: 0.1601 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.7967 recall@top3: 0.8233 prec@top3: 0.6800 recall@top5: 0.9567 prec@top5: 0.4720 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 02:06:35 - mmengine - INFO - Epoch(train) [9][1880/2881] lr: 1.0000e-01 eta: 6:03:29 time: 0.6322 data_time: 0.0229 memory: 13802 grad_norm: 0.1482 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8025 recall@top3: 0.8519 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.5259 loss_action_cls: 0.0346 loss: 0.0346 2022/08/09 02:06:47 - mmengine - INFO - Epoch(train) [9][1900/2881] lr: 1.0000e-01 eta: 6:03:14 time: 0.6381 data_time: 0.0272 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.8782 prec@thr=0.5: 0.8429 recall@top3: 0.8462 prec@top3: 0.7692 recall@top5: 0.9519 prec@top5: 0.5308 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:07:00 - mmengine - INFO - Epoch(train) [9][1920/2881] lr: 1.0000e-01 eta: 6:03:00 time: 0.6293 data_time: 0.0226 memory: 13802 grad_norm: 0.1545 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8333 recall@top3: 0.9348 prec@top3: 0.6522 recall@top5: 0.9783 prec@top5: 0.4087 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:07:13 - mmengine - INFO - Epoch(train) [9][1940/2881] lr: 1.0000e-01 eta: 6:02:46 time: 0.6371 data_time: 0.0210 memory: 13802 grad_norm: 0.1566 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.9250 recall@top3: 0.9250 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 02:07:20 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 02:07:25 - mmengine - INFO - Epoch(train) [9][1960/2881] lr: 1.0000e-01 eta: 6:02:31 time: 0.6089 data_time: 0.0230 memory: 13802 grad_norm: 0.1515 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8636 recall@top3: 0.8939 prec@top3: 0.6515 recall@top5: 0.9773 prec@top5: 0.4364 loss_action_cls: 0.0364 loss: 0.0364 2022/08/09 02:07:37 - mmengine - INFO - Epoch(train) [9][1980/2881] lr: 1.0000e-01 eta: 6:02:16 time: 0.6092 data_time: 0.0213 memory: 13802 grad_norm: 0.1610 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.7353 recall@top3: 0.7853 prec@top3: 0.6765 recall@top5: 0.8745 prec@top5: 0.4706 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 02:07:50 - mmengine - INFO - Epoch(train) [9][2000/2881] lr: 1.0000e-01 eta: 6:02:02 time: 0.6306 data_time: 0.0237 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.8167 recall@top3: 0.7875 prec@top3: 0.6167 recall@top5: 0.8917 prec@top5: 0.4500 loss_action_cls: 0.0420 loss: 0.0420 2022/08/09 02:08:03 - mmengine - INFO - Epoch(train) [9][2020/2881] lr: 1.0000e-01 eta: 6:01:48 time: 0.6399 data_time: 0.0208 memory: 13802 grad_norm: 0.1590 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.8910 recall@top3: 0.8077 prec@top3: 0.6923 recall@top5: 0.9423 prec@top5: 0.4846 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 02:08:15 - mmengine - INFO - Epoch(train) [9][2040/2881] lr: 1.0000e-01 eta: 6:01:33 time: 0.6060 data_time: 0.0238 memory: 13802 grad_norm: 0.1509 recall@thr=0.5: 0.6847 prec@thr=0.5: 0.7267 recall@top3: 0.7580 prec@top3: 0.6533 recall@top5: 0.8573 prec@top5: 0.4560 loss_action_cls: 0.0370 loss: 0.0370 2022/08/09 02:08:28 - mmengine - INFO - Epoch(train) [9][2060/2881] lr: 1.0000e-01 eta: 6:01:19 time: 0.6437 data_time: 0.0205 memory: 13802 grad_norm: 0.1557 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.8667 recall@top3: 0.9000 prec@top3: 0.7833 recall@top5: 0.9833 prec@top5: 0.5200 loss_action_cls: 0.0425 loss: 0.0425 2022/08/09 02:08:40 - mmengine - INFO - Epoch(train) [9][2080/2881] lr: 1.0000e-01 eta: 6:01:05 time: 0.6375 data_time: 0.0285 memory: 13802 grad_norm: 0.1756 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7500 recall@top3: 0.8542 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4600 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:08:53 - mmengine - INFO - Epoch(train) [9][2100/2881] lr: 1.0000e-01 eta: 6:00:51 time: 0.6393 data_time: 0.0206 memory: 13802 grad_norm: 0.1658 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.7464 recall@top3: 0.8804 prec@top3: 0.6522 recall@top5: 0.9565 prec@top5: 0.4348 loss_action_cls: 0.0421 loss: 0.0421 2022/08/09 02:09:06 - mmengine - INFO - Epoch(train) [9][2120/2881] lr: 1.0000e-01 eta: 6:00:37 time: 0.6457 data_time: 0.0228 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.7407 recall@top3: 0.8519 prec@top3: 0.6296 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 02:09:19 - mmengine - INFO - Epoch(train) [9][2140/2881] lr: 1.0000e-01 eta: 6:00:23 time: 0.6402 data_time: 0.0239 memory: 13802 grad_norm: 0.1631 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8788 recall@top3: 0.8207 prec@top3: 0.8182 recall@top5: 0.9167 prec@top5: 0.5636 loss_action_cls: 0.0394 loss: 0.0394 2022/08/09 02:09:31 - mmengine - INFO - Epoch(train) [9][2160/2881] lr: 1.0000e-01 eta: 6:00:08 time: 0.6064 data_time: 0.0215 memory: 13802 grad_norm: 0.1495 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.9800 recall@top3: 0.9400 prec@top3: 0.6800 recall@top5: 1.0000 prec@top5: 0.4480 loss_action_cls: 0.0348 loss: 0.0348 2022/08/09 02:09:44 - mmengine - INFO - Epoch(train) [9][2180/2881] lr: 1.0000e-01 eta: 5:59:54 time: 0.6377 data_time: 0.0232 memory: 13802 grad_norm: 0.1635 recall@thr=0.5: 0.8413 prec@thr=0.5: 0.8690 recall@top3: 0.8294 prec@top3: 0.6508 recall@top5: 1.0000 prec@top5: 0.5048 loss_action_cls: 0.0394 loss: 0.0394 2022/08/09 02:09:56 - mmengine - INFO - Epoch(train) [9][2200/2881] lr: 1.0000e-01 eta: 5:59:40 time: 0.6299 data_time: 0.0218 memory: 13802 grad_norm: 0.1622 recall@thr=0.5: 0.7284 prec@thr=0.5: 0.8148 recall@top3: 0.8951 prec@top3: 0.7284 recall@top5: 1.0000 prec@top5: 0.4963 loss_action_cls: 0.0371 loss: 0.0371 2022/08/09 02:10:09 - mmengine - INFO - Epoch(train) [9][2220/2881] lr: 1.0000e-01 eta: 5:59:26 time: 0.6504 data_time: 0.0236 memory: 13802 grad_norm: 0.1695 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6316 recall@top3: 0.7544 prec@top3: 0.6842 recall@top5: 0.8772 prec@top5: 0.4842 loss_action_cls: 0.0407 loss: 0.0407 2022/08/09 02:10:22 - mmengine - INFO - Epoch(train) [9][2240/2881] lr: 1.0000e-01 eta: 5:59:12 time: 0.6324 data_time: 0.0217 memory: 13802 grad_norm: 0.1634 recall@thr=0.5: 0.8988 prec@thr=0.5: 0.7887 recall@top3: 0.9286 prec@top3: 0.7024 recall@top5: 0.9464 prec@top5: 0.4286 loss_action_cls: 0.0428 loss: 0.0428 2022/08/09 02:10:35 - mmengine - INFO - Epoch(train) [9][2260/2881] lr: 1.0000e-01 eta: 5:58:58 time: 0.6296 data_time: 0.0264 memory: 13802 grad_norm: 0.1581 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.8043 recall@top3: 0.7319 prec@top3: 0.5797 recall@top5: 0.8841 prec@top5: 0.4435 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 02:10:47 - mmengine - INFO - Epoch(train) [9][2280/2881] lr: 1.0000e-01 eta: 5:58:43 time: 0.6121 data_time: 0.0211 memory: 13802 grad_norm: 0.1526 recall@thr=0.5: 0.7040 prec@thr=0.5: 0.7173 recall@top3: 0.7140 prec@top3: 0.6800 recall@top5: 0.9320 prec@top5: 0.5440 loss_action_cls: 0.0440 loss: 0.0440 2022/08/09 02:11:00 - mmengine - INFO - Epoch(train) [9][2300/2881] lr: 1.0000e-01 eta: 5:58:30 time: 0.6668 data_time: 0.0206 memory: 13802 grad_norm: 0.1586 recall@thr=0.5: 0.8256 prec@thr=0.5: 0.8185 recall@top3: 0.8345 prec@top3: 0.7024 recall@top5: 0.9720 prec@top5: 0.5000 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 02:11:13 - mmengine - INFO - Epoch(train) [9][2320/2881] lr: 1.0000e-01 eta: 5:58:15 time: 0.6313 data_time: 0.0240 memory: 13802 grad_norm: 0.1564 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7540 recall@top3: 0.8413 prec@top3: 0.6825 recall@top5: 0.9444 prec@top5: 0.4762 loss_action_cls: 0.0414 loss: 0.0414 2022/08/09 02:11:25 - mmengine - INFO - Epoch(train) [9][2340/2881] lr: 1.0000e-01 eta: 5:58:01 time: 0.6317 data_time: 0.0213 memory: 13802 grad_norm: 0.1505 recall@thr=0.5: 0.5785 prec@thr=0.5: 0.7153 recall@top3: 0.7174 prec@top3: 0.5972 recall@top5: 0.9313 prec@top5: 0.5000 loss_action_cls: 0.0350 loss: 0.0350 2022/08/09 02:11:38 - mmengine - INFO - Epoch(train) [9][2360/2881] lr: 1.0000e-01 eta: 5:57:46 time: 0.6081 data_time: 0.0219 memory: 13802 grad_norm: 0.1637 recall@thr=0.5: 0.7990 prec@thr=0.5: 0.9314 recall@top3: 0.9069 prec@top3: 0.8431 recall@top5: 0.9559 prec@top5: 0.5412 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:11:51 - mmengine - INFO - Epoch(train) [9][2380/2881] lr: 1.0000e-01 eta: 5:57:33 time: 0.6572 data_time: 0.0224 memory: 13802 grad_norm: 0.1658 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8403 recall@top3: 0.8854 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5083 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:12:03 - mmengine - INFO - Epoch(train) [9][2400/2881] lr: 1.0000e-01 eta: 5:57:18 time: 0.6132 data_time: 0.0223 memory: 13802 grad_norm: 0.1565 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.7292 recall@top3: 0.8819 prec@top3: 0.5417 recall@top5: 0.9792 prec@top5: 0.3583 loss_action_cls: 0.0410 loss: 0.0410 2022/08/09 02:12:16 - mmengine - INFO - Epoch(train) [9][2420/2881] lr: 1.0000e-01 eta: 5:57:04 time: 0.6270 data_time: 0.0206 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.6263 prec@thr=0.5: 0.7473 recall@top3: 0.6962 prec@top3: 0.6344 recall@top5: 0.9247 prec@top5: 0.5032 loss_action_cls: 0.0357 loss: 0.0357 2022/08/09 02:12:28 - mmengine - INFO - Epoch(train) [9][2440/2881] lr: 1.0000e-01 eta: 5:56:50 time: 0.6384 data_time: 0.0207 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8833 recall@top3: 0.8917 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0432 loss: 0.0432 2022/08/09 02:12:41 - mmengine - INFO - Epoch(train) [9][2460/2881] lr: 1.0000e-01 eta: 5:56:36 time: 0.6353 data_time: 0.0215 memory: 13802 grad_norm: 0.1594 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.8561 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9394 prec@top5: 0.4727 loss_action_cls: 0.0426 loss: 0.0426 2022/08/09 02:12:54 - mmengine - INFO - Epoch(train) [9][2480/2881] lr: 1.0000e-01 eta: 5:56:21 time: 0.6313 data_time: 0.0216 memory: 13802 grad_norm: 0.1572 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8289 recall@top3: 0.8465 prec@top3: 0.7895 recall@top5: 0.9298 prec@top5: 0.5158 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 02:13:06 - mmengine - INFO - Epoch(train) [9][2500/2881] lr: 1.0000e-01 eta: 5:56:07 time: 0.6367 data_time: 0.0232 memory: 13802 grad_norm: 0.1446 recall@thr=0.5: 0.8109 prec@thr=0.5: 0.9359 recall@top3: 0.9071 prec@top3: 0.8462 recall@top5: 0.9744 prec@top5: 0.5538 loss_action_cls: 0.0418 loss: 0.0418 2022/08/09 02:13:19 - mmengine - INFO - Epoch(train) [9][2520/2881] lr: 1.0000e-01 eta: 5:55:53 time: 0.6400 data_time: 0.0223 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.9118 recall@top3: 0.9412 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0343 loss: 0.0343 2022/08/09 02:13:32 - mmengine - INFO - Epoch(train) [9][2540/2881] lr: 1.0000e-01 eta: 5:55:39 time: 0.6275 data_time: 0.0221 memory: 13802 grad_norm: 0.1574 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7292 recall@top3: 0.8958 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.4750 loss_action_cls: 0.0397 loss: 0.0397 2022/08/09 02:13:44 - mmengine - INFO - Epoch(train) [9][2560/2881] lr: 1.0000e-01 eta: 5:55:25 time: 0.6282 data_time: 0.0226 memory: 13802 grad_norm: 0.1673 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.8667 recall@top3: 0.7222 prec@top3: 0.6667 recall@top5: 0.8492 prec@top5: 0.4952 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 02:13:56 - mmengine - INFO - Epoch(train) [9][2580/2881] lr: 1.0000e-01 eta: 5:55:10 time: 0.6094 data_time: 0.0218 memory: 13802 grad_norm: 0.1645 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.8793 recall@top3: 0.7874 prec@top3: 0.6437 recall@top5: 0.9080 prec@top5: 0.4690 loss_action_cls: 0.0348 loss: 0.0348 2022/08/09 02:14:09 - mmengine - INFO - Epoch(train) [9][2600/2881] lr: 1.0000e-01 eta: 5:54:56 time: 0.6367 data_time: 0.0247 memory: 13802 grad_norm: 0.1523 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.8986 recall@top3: 0.8464 prec@top3: 0.8406 recall@top5: 0.9739 prec@top5: 0.6000 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 02:14:22 - mmengine - INFO - Epoch(train) [9][2620/2881] lr: 1.0000e-01 eta: 5:54:42 time: 0.6378 data_time: 0.0215 memory: 13802 grad_norm: 0.1519 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.7407 recall@top3: 0.9333 prec@top3: 0.5741 recall@top5: 0.9778 prec@top5: 0.3889 loss_action_cls: 0.0377 loss: 0.0377 2022/08/09 02:14:35 - mmengine - INFO - Epoch(train) [9][2640/2881] lr: 1.0000e-01 eta: 5:54:28 time: 0.6386 data_time: 0.0219 memory: 13802 grad_norm: 0.1645 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7197 recall@top3: 0.7689 prec@top3: 0.5455 recall@top5: 0.9091 prec@top5: 0.4000 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 02:14:47 - mmengine - INFO - Epoch(train) [9][2660/2881] lr: 1.0000e-01 eta: 5:54:13 time: 0.6032 data_time: 0.0214 memory: 13802 grad_norm: 0.1627 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.6759 recall@top3: 0.7407 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.4222 loss_action_cls: 0.0434 loss: 0.0434 2022/08/09 02:14:59 - mmengine - INFO - Epoch(train) [9][2680/2881] lr: 1.0000e-01 eta: 5:53:59 time: 0.6293 data_time: 0.0216 memory: 13802 grad_norm: 0.1522 recall@thr=0.5: 0.8313 prec@thr=0.5: 0.8033 recall@top3: 0.8547 prec@top3: 0.7067 recall@top5: 0.8993 prec@top5: 0.4560 loss_action_cls: 0.0421 loss: 0.0421 2022/08/09 02:15:12 - mmengine - INFO - Epoch(train) [9][2700/2881] lr: 1.0000e-01 eta: 5:53:45 time: 0.6407 data_time: 0.0223 memory: 13802 grad_norm: 0.1525 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8947 recall@top3: 0.9737 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.4632 loss_action_cls: 0.0357 loss: 0.0357 2022/08/09 02:15:25 - mmengine - INFO - Epoch(train) [9][2720/2881] lr: 1.0000e-01 eta: 5:53:31 time: 0.6314 data_time: 0.0225 memory: 13802 grad_norm: 0.1590 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8796 recall@top3: 0.8611 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 02:15:38 - mmengine - INFO - Epoch(train) [9][2740/2881] lr: 1.0000e-01 eta: 5:53:17 time: 0.6343 data_time: 0.0210 memory: 13802 grad_norm: 0.1587 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7698 recall@top3: 0.7460 prec@top3: 0.6032 recall@top5: 0.8810 prec@top5: 0.4095 loss_action_cls: 0.0427 loss: 0.0427 2022/08/09 02:15:50 - mmengine - INFO - Epoch(train) [9][2760/2881] lr: 1.0000e-01 eta: 5:53:03 time: 0.6319 data_time: 0.0224 memory: 13802 grad_norm: 0.1547 recall@thr=0.5: 0.6306 prec@thr=0.5: 0.8056 recall@top3: 0.8028 prec@top3: 0.6667 recall@top5: 0.9222 prec@top5: 0.4800 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 02:16:02 - mmengine - INFO - Epoch(train) [9][2780/2881] lr: 1.0000e-01 eta: 5:52:48 time: 0.6073 data_time: 0.0210 memory: 13802 grad_norm: 0.1576 recall@thr=0.5: 0.7074 prec@thr=0.5: 0.8079 recall@top3: 0.7972 prec@top3: 0.7222 recall@top5: 0.9148 prec@top5: 0.5111 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 02:16:15 - mmengine - INFO - Epoch(train) [9][2800/2881] lr: 1.0000e-01 eta: 5:52:34 time: 0.6431 data_time: 0.0220 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.6472 prec@thr=0.5: 0.8778 recall@top3: 0.8222 prec@top3: 0.6778 recall@top5: 0.9444 prec@top5: 0.4800 loss_action_cls: 0.0416 loss: 0.0416 2022/08/09 02:16:27 - mmengine - INFO - Epoch(train) [9][2820/2881] lr: 1.0000e-01 eta: 5:52:19 time: 0.6068 data_time: 0.0214 memory: 13802 grad_norm: 0.1561 recall@thr=0.5: 0.7147 prec@thr=0.5: 0.7724 recall@top3: 0.8429 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4538 loss_action_cls: 0.0380 loss: 0.0380 2022/08/09 02:16:40 - mmengine - INFO - Epoch(train) [9][2840/2881] lr: 1.0000e-01 eta: 5:52:05 time: 0.6308 data_time: 0.0217 memory: 13802 grad_norm: 0.1562 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.9048 prec@top3: 0.6429 recall@top5: 0.9762 prec@top5: 0.4286 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 02:16:53 - mmengine - INFO - Epoch(train) [9][2860/2881] lr: 1.0000e-01 eta: 5:51:51 time: 0.6306 data_time: 0.0223 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8571 recall@top3: 0.8016 prec@top3: 0.6825 recall@top5: 0.8968 prec@top5: 0.4667 loss_action_cls: 0.0366 loss: 0.0366 2022/08/09 02:17:05 - mmengine - INFO - Epoch(train) [9][2880/2881] lr: 1.0000e-01 eta: 5:51:37 time: 0.6435 data_time: 0.0229 memory: 13802 grad_norm: 0.1588 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.6333 recall@top3: 0.6750 prec@top3: 0.5667 recall@top5: 0.8875 prec@top5: 0.4600 loss_action_cls: 0.0418 loss: 0.0418 2022/08/09 02:17:06 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 02:17:06 - mmengine - INFO - Epoch(train) [9][2881/2881] lr: 1.0000e-01 eta: 5:51:37 time: 0.6441 data_time: 0.0237 memory: 13802 grad_norm: 0.1597 recall@thr=0.5: 0.8092 prec@thr=0.5: 0.8333 recall@top3: 0.7850 prec@top3: 0.7333 recall@top5: 0.9550 prec@top5: 0.5500 loss_action_cls: 0.0412 loss: 0.0412 2022/08/09 02:17:06 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/09 02:17:15 - mmengine - INFO - Epoch(val) [9][20/6282] eta: 0:14:23 time: 0.1379 data_time: 0.0900 memory: 721 2022/08/09 02:17:16 - mmengine - INFO - Epoch(val) [9][40/6282] eta: 0:05:28 time: 0.0526 data_time: 0.0055 memory: 721 2022/08/09 02:17:17 - mmengine - INFO - Epoch(val) [9][60/6282] eta: 0:05:28 time: 0.0528 data_time: 0.0057 memory: 721 2022/08/09 02:17:18 - mmengine - INFO - Epoch(val) [9][80/6282] eta: 0:05:13 time: 0.0506 data_time: 0.0044 memory: 721 2022/08/09 02:17:19 - mmengine - INFO - Epoch(val) [9][100/6282] eta: 0:05:21 time: 0.0520 data_time: 0.0044 memory: 721 2022/08/09 02:17:20 - mmengine - INFO - Epoch(val) [9][120/6282] eta: 0:06:13 time: 0.0606 data_time: 0.0051 memory: 806 2022/08/09 02:17:22 - mmengine - INFO - Epoch(val) [9][140/6282] eta: 0:09:23 time: 0.0918 data_time: 0.0048 memory: 806 2022/08/09 02:17:23 - mmengine - INFO - Epoch(val) [9][160/6282] eta: 0:07:05 time: 0.0695 data_time: 0.0056 memory: 806 2022/08/09 02:17:25 - mmengine - INFO - Epoch(val) [9][180/6282] eta: 0:07:22 time: 0.0726 data_time: 0.0072 memory: 806 2022/08/09 02:17:26 - mmengine - INFO - Epoch(val) [9][200/6282] eta: 0:07:13 time: 0.0712 data_time: 0.0077 memory: 806 2022/08/09 02:17:27 - mmengine - INFO - Epoch(val) [9][220/6282] eta: 0:05:58 time: 0.0591 data_time: 0.0056 memory: 736 2022/08/09 02:17:29 - mmengine - INFO - Epoch(val) [9][240/6282] eta: 0:05:52 time: 0.0583 data_time: 0.0057 memory: 736 2022/08/09 02:17:30 - mmengine - INFO - Epoch(val) [9][260/6282] eta: 0:05:40 time: 0.0565 data_time: 0.0051 memory: 736 2022/08/09 02:17:31 - mmengine - INFO - Epoch(val) [9][280/6282] eta: 0:05:38 time: 0.0564 data_time: 0.0040 memory: 736 2022/08/09 02:17:32 - mmengine - INFO - Epoch(val) [9][300/6282] eta: 0:06:12 time: 0.0622 data_time: 0.0055 memory: 806 2022/08/09 02:17:34 - mmengine - INFO - Epoch(val) [9][320/6282] eta: 0:08:39 time: 0.0872 data_time: 0.0213 memory: 806 2022/08/09 02:17:35 - mmengine - INFO - Epoch(val) [9][340/6282] eta: 0:07:32 time: 0.0761 data_time: 0.0105 memory: 806 2022/08/09 02:17:37 - mmengine - INFO - Epoch(val) [9][360/6282] eta: 0:08:01 time: 0.0814 data_time: 0.0171 memory: 806 2022/08/09 02:17:39 - mmengine - INFO - Epoch(val) [9][380/6282] eta: 0:08:31 time: 0.0867 data_time: 0.0199 memory: 806 2022/08/09 02:17:40 - mmengine - INFO - Epoch(val) [9][400/6282] eta: 0:06:22 time: 0.0650 data_time: 0.0071 memory: 806 2022/08/09 02:17:41 - mmengine - INFO - Epoch(val) [9][420/6282] eta: 0:05:42 time: 0.0583 data_time: 0.0053 memory: 741 2022/08/09 02:17:42 - mmengine - INFO - Epoch(val) [9][440/6282] eta: 0:05:38 time: 0.0579 data_time: 0.0061 memory: 741 2022/08/09 02:17:44 - mmengine - INFO - Epoch(val) [9][460/6282] eta: 0:05:42 time: 0.0589 data_time: 0.0055 memory: 741 2022/08/09 02:17:45 - mmengine - INFO - Epoch(val) [9][480/6282] eta: 0:05:40 time: 0.0588 data_time: 0.0052 memory: 741 2022/08/09 02:17:46 - mmengine - INFO - Epoch(val) [9][500/6282] eta: 0:04:41 time: 0.0487 data_time: 0.0040 memory: 741 2022/08/09 02:17:47 - mmengine - INFO - Epoch(val) [9][520/6282] eta: 0:04:53 time: 0.0509 data_time: 0.0047 memory: 736 2022/08/09 02:17:48 - mmengine - INFO - Epoch(val) [9][540/6282] eta: 0:05:02 time: 0.0526 data_time: 0.0047 memory: 736 2022/08/09 02:17:49 - mmengine - INFO - Epoch(val) [9][560/6282] eta: 0:07:30 time: 0.0787 data_time: 0.0045 memory: 736 2022/08/09 02:17:51 - mmengine - INFO - Epoch(val) [9][580/6282] eta: 0:05:24 time: 0.0568 data_time: 0.0057 memory: 736 2022/08/09 02:17:52 - mmengine - INFO - Epoch(val) [9][600/6282] eta: 0:05:09 time: 0.0544 data_time: 0.0041 memory: 736 2022/08/09 02:17:53 - mmengine - INFO - Epoch(val) [9][620/6282] eta: 0:04:50 time: 0.0513 data_time: 0.0035 memory: 736 2022/08/09 02:17:54 - mmengine - INFO - Epoch(val) [9][640/6282] eta: 0:04:53 time: 0.0520 data_time: 0.0045 memory: 733 2022/08/09 02:17:55 - mmengine - INFO - Epoch(val) [9][660/6282] eta: 0:04:46 time: 0.0510 data_time: 0.0039 memory: 733 2022/08/09 02:17:56 - mmengine - INFO - Epoch(val) [9][680/6282] eta: 0:04:32 time: 0.0486 data_time: 0.0037 memory: 733 2022/08/09 02:17:57 - mmengine - INFO - Epoch(val) [9][700/6282] eta: 0:04:51 time: 0.0522 data_time: 0.0052 memory: 733 2022/08/09 02:17:59 - mmengine - INFO - Epoch(val) [9][720/6282] eta: 0:12:06 time: 0.1306 data_time: 0.0719 memory: 806 2022/08/09 02:18:03 - mmengine - INFO - Epoch(val) [9][740/6282] eta: 0:17:13 time: 0.1866 data_time: 0.1284 memory: 806 2022/08/09 02:18:06 - mmengine - INFO - Epoch(val) [9][760/6282] eta: 0:13:41 time: 0.1488 data_time: 0.0906 memory: 806 2022/08/09 02:18:09 - mmengine - INFO - Epoch(val) [9][780/6282] eta: 0:14:34 time: 0.1589 data_time: 0.0976 memory: 806 2022/08/09 02:18:12 - mmengine - INFO - Epoch(val) [9][800/6282] eta: 0:11:58 time: 0.1310 data_time: 0.0675 memory: 806 2022/08/09 02:18:14 - mmengine - INFO - Epoch(val) [9][820/6282] eta: 0:07:59 time: 0.0878 data_time: 0.0324 memory: 806 2022/08/09 02:18:15 - mmengine - INFO - Epoch(val) [9][840/6282] eta: 0:05:03 time: 0.0557 data_time: 0.0056 memory: 736 2022/08/09 02:18:16 - mmengine - INFO - Epoch(val) [9][860/6282] eta: 0:05:08 time: 0.0570 data_time: 0.0056 memory: 736 2022/08/09 02:18:17 - mmengine - INFO - Epoch(val) [9][880/6282] eta: 0:05:16 time: 0.0587 data_time: 0.0040 memory: 736 2022/08/09 02:18:18 - mmengine - INFO - Epoch(val) [9][900/6282] eta: 0:05:10 time: 0.0578 data_time: 0.0063 memory: 736 2022/08/09 02:18:19 - mmengine - INFO - Epoch(val) [9][920/6282] eta: 0:05:01 time: 0.0562 data_time: 0.0060 memory: 736 2022/08/09 02:18:21 - mmengine - INFO - Epoch(val) [9][940/6282] eta: 0:04:54 time: 0.0551 data_time: 0.0045 memory: 721 2022/08/09 02:18:22 - mmengine - INFO - Epoch(val) [9][960/6282] eta: 0:04:50 time: 0.0545 data_time: 0.0053 memory: 721 2022/08/09 02:18:23 - mmengine - INFO - Epoch(val) [9][980/6282] eta: 0:04:38 time: 0.0525 data_time: 0.0049 memory: 721 2022/08/09 02:18:24 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:04:56 time: 0.0561 data_time: 0.0055 memory: 721 2022/08/09 02:18:25 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:04:43 time: 0.0539 data_time: 0.0062 memory: 736 2022/08/09 02:18:26 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:04:46 time: 0.0547 data_time: 0.0051 memory: 736 2022/08/09 02:18:27 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:04:58 time: 0.0572 data_time: 0.0057 memory: 736 2022/08/09 02:18:29 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:07:48 time: 0.0900 data_time: 0.0048 memory: 736 2022/08/09 02:18:30 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:04:52 time: 0.0564 data_time: 0.0056 memory: 736 2022/08/09 02:18:31 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:04:50 time: 0.0563 data_time: 0.0043 memory: 736 2022/08/09 02:18:32 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:04:43 time: 0.0551 data_time: 0.0042 memory: 736 2022/08/09 02:18:33 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:04:22 time: 0.0512 data_time: 0.0038 memory: 736 2022/08/09 02:18:34 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:04:35 time: 0.0540 data_time: 0.0048 memory: 736 2022/08/09 02:18:36 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:04:32 time: 0.0536 data_time: 0.0044 memory: 736 2022/08/09 02:18:37 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:04:20 time: 0.0515 data_time: 0.0042 memory: 736 2022/08/09 02:18:40 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:13:38 time: 0.1623 data_time: 0.1045 memory: 806 2022/08/09 02:18:43 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:13:07 time: 0.1569 data_time: 0.0998 memory: 806 2022/08/09 02:18:46 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:13:51 time: 0.1662 data_time: 0.1073 memory: 806 2022/08/09 02:18:49 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:12:51 time: 0.1548 data_time: 0.0732 memory: 806 2022/08/09 02:18:53 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:13:33 time: 0.1639 data_time: 0.1037 memory: 806 2022/08/09 02:18:56 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:12:54 time: 0.1567 data_time: 0.0996 memory: 806 2022/08/09 02:18:59 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:12:49 time: 0.1564 data_time: 0.0980 memory: 806 2022/08/09 02:19:02 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:12:29 time: 0.1529 data_time: 0.0936 memory: 806 2022/08/09 02:19:05 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:11:27 time: 0.1407 data_time: 0.0837 memory: 806 2022/08/09 02:19:08 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:11:17 time: 0.1394 data_time: 0.0799 memory: 806 2022/08/09 02:19:10 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:07:38 time: 0.0947 data_time: 0.0111 memory: 806 2022/08/09 02:19:11 - mmengine - INFO - Epoch(val) [9][1460/6282] eta: 0:05:22 time: 0.0669 data_time: 0.0052 memory: 806 2022/08/09 02:19:12 - mmengine - INFO - Epoch(val) [9][1480/6282] eta: 0:05:27 time: 0.0681 data_time: 0.0060 memory: 806 2022/08/09 02:19:14 - mmengine - INFO - Epoch(val) [9][1500/6282] eta: 0:05:10 time: 0.0648 data_time: 0.0049 memory: 806 2022/08/09 02:19:15 - mmengine - INFO - Epoch(val) [9][1520/6282] eta: 0:05:19 time: 0.0670 data_time: 0.0058 memory: 909 2022/08/09 02:19:17 - mmengine - INFO - Epoch(val) [9][1540/6282] eta: 0:06:18 time: 0.0799 data_time: 0.0066 memory: 909 2022/08/09 02:19:18 - mmengine - INFO - Epoch(val) [9][1560/6282] eta: 0:06:08 time: 0.0779 data_time: 0.0054 memory: 909 2022/08/09 02:19:20 - mmengine - INFO - Epoch(val) [9][1580/6282] eta: 0:06:04 time: 0.0774 data_time: 0.0053 memory: 909 2022/08/09 02:19:21 - mmengine - INFO - Epoch(val) [9][1600/6282] eta: 0:05:57 time: 0.0763 data_time: 0.0053 memory: 909 2022/08/09 02:19:23 - mmengine - INFO - Epoch(val) [9][1620/6282] eta: 0:06:00 time: 0.0773 data_time: 0.0053 memory: 909 2022/08/09 02:19:24 - mmengine - INFO - Epoch(val) [9][1640/6282] eta: 0:05:01 time: 0.0649 data_time: 0.0044 memory: 806 2022/08/09 02:19:25 - mmengine - INFO - Epoch(val) [9][1660/6282] eta: 0:04:39 time: 0.0604 data_time: 0.0046 memory: 806 2022/08/09 02:19:27 - mmengine - INFO - Epoch(val) [9][1680/6282] eta: 0:04:36 time: 0.0601 data_time: 0.0039 memory: 806 2022/08/09 02:19:28 - mmengine - INFO - Epoch(val) [9][1700/6282] eta: 0:04:27 time: 0.0585 data_time: 0.0041 memory: 806 2022/08/09 02:19:29 - mmengine - INFO - Epoch(val) [9][1720/6282] eta: 0:06:16 time: 0.0826 data_time: 0.0044 memory: 806 2022/08/09 02:19:31 - mmengine - INFO - Epoch(val) [9][1740/6282] eta: 0:04:31 time: 0.0598 data_time: 0.0042 memory: 806 2022/08/09 02:19:32 - mmengine - INFO - Epoch(val) [9][1760/6282] eta: 0:04:50 time: 0.0642 data_time: 0.0059 memory: 806 2022/08/09 02:19:33 - mmengine - INFO - Epoch(val) [9][1780/6282] eta: 0:05:11 time: 0.0692 data_time: 0.0051 memory: 806 2022/08/09 02:19:35 - mmengine - INFO - Epoch(val) [9][1800/6282] eta: 0:05:00 time: 0.0671 data_time: 0.0061 memory: 806 2022/08/09 02:19:36 - mmengine - INFO - Epoch(val) [9][1820/6282] eta: 0:04:44 time: 0.0638 data_time: 0.0051 memory: 806 2022/08/09 02:19:38 - mmengine - INFO - Epoch(val) [9][1840/6282] eta: 0:06:16 time: 0.0847 data_time: 0.0287 memory: 806 2022/08/09 02:19:41 - mmengine - INFO - Epoch(val) [9][1860/6282] eta: 0:13:28 time: 0.1828 data_time: 0.1241 memory: 806 2022/08/09 02:19:44 - mmengine - INFO - Epoch(val) [9][1880/6282] eta: 0:10:07 time: 0.1381 data_time: 0.0791 memory: 806 2022/08/09 02:19:47 - mmengine - INFO - Epoch(val) [9][1900/6282] eta: 0:12:17 time: 0.1683 data_time: 0.1089 memory: 806 2022/08/09 02:19:50 - mmengine - INFO - Epoch(val) [9][1920/6282] eta: 0:08:37 time: 0.1187 data_time: 0.0310 memory: 806 2022/08/09 02:19:52 - mmengine - INFO - Epoch(val) [9][1940/6282] eta: 0:07:21 time: 0.1017 data_time: 0.0407 memory: 806 2022/08/09 02:19:53 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:04:01 time: 0.0559 data_time: 0.0048 memory: 741 2022/08/09 02:19:54 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:04:13 time: 0.0589 data_time: 0.0067 memory: 741 2022/08/09 02:19:55 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:04:01 time: 0.0564 data_time: 0.0049 memory: 741 2022/08/09 02:19:56 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:04:01 time: 0.0566 data_time: 0.0045 memory: 741 2022/08/09 02:19:58 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:03:55 time: 0.0556 data_time: 0.0055 memory: 741 2022/08/09 02:19:59 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:04:07 time: 0.0585 data_time: 0.0058 memory: 741 2022/08/09 02:20:00 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:04:06 time: 0.0586 data_time: 0.0055 memory: 741 2022/08/09 02:20:01 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:03:55 time: 0.0564 data_time: 0.0055 memory: 741 2022/08/09 02:20:03 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:06:11 time: 0.0892 data_time: 0.0050 memory: 741 2022/08/09 02:20:04 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:03:50 time: 0.0556 data_time: 0.0054 memory: 741 2022/08/09 02:20:05 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:03:51 time: 0.0561 data_time: 0.0072 memory: 736 2022/08/09 02:20:06 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:03:45 time: 0.0550 data_time: 0.0053 memory: 736 2022/08/09 02:20:07 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:03:48 time: 0.0560 data_time: 0.0055 memory: 736 2022/08/09 02:20:08 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:03:54 time: 0.0578 data_time: 0.0032 memory: 736 2022/08/09 02:20:10 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:03:38 time: 0.0540 data_time: 0.0046 memory: 736 2022/08/09 02:20:11 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:03:46 time: 0.0563 data_time: 0.0047 memory: 741 2022/08/09 02:20:12 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:03:43 time: 0.0558 data_time: 0.0055 memory: 741 2022/08/09 02:20:13 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:03:38 time: 0.0548 data_time: 0.0040 memory: 741 2022/08/09 02:20:14 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:03:39 time: 0.0554 data_time: 0.0059 memory: 741 2022/08/09 02:20:15 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:03:32 time: 0.0540 data_time: 0.0050 memory: 741 2022/08/09 02:20:16 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:03:44 time: 0.0573 data_time: 0.0056 memory: 736 2022/08/09 02:20:18 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:03:47 time: 0.0584 data_time: 0.0051 memory: 736 2022/08/09 02:20:19 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:05:35 time: 0.0864 data_time: 0.0058 memory: 736 2022/08/09 02:20:20 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:03:45 time: 0.0584 data_time: 0.0055 memory: 736 2022/08/09 02:20:22 - mmengine - INFO - Epoch(val) [9][2440/6282] eta: 0:03:54 time: 0.0609 data_time: 0.0075 memory: 736 2022/08/09 02:20:23 - mmengine - INFO - Epoch(val) [9][2460/6282] eta: 0:05:35 time: 0.0877 data_time: 0.0248 memory: 806 2022/08/09 02:20:25 - mmengine - INFO - Epoch(val) [9][2480/6282] eta: 0:05:13 time: 0.0826 data_time: 0.0184 memory: 806 2022/08/09 02:20:27 - mmengine - INFO - Epoch(val) [9][2500/6282] eta: 0:05:28 time: 0.0869 data_time: 0.0256 memory: 806 2022/08/09 02:20:29 - mmengine - INFO - Epoch(val) [9][2520/6282] eta: 0:05:16 time: 0.0842 data_time: 0.0243 memory: 806 2022/08/09 02:20:31 - mmengine - INFO - Epoch(val) [9][2540/6282] eta: 0:07:28 time: 0.1199 data_time: 0.0615 memory: 806 2022/08/09 02:20:34 - mmengine - INFO - Epoch(val) [9][2560/6282] eta: 0:09:10 time: 0.1480 data_time: 0.0896 memory: 806 2022/08/09 02:20:37 - mmengine - INFO - Epoch(val) [9][2580/6282] eta: 0:10:38 time: 0.1724 data_time: 0.1114 memory: 806 2022/08/09 02:20:40 - mmengine - INFO - Epoch(val) [9][2600/6282] eta: 0:08:55 time: 0.1453 data_time: 0.0770 memory: 806 2022/08/09 02:20:44 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:10:21 time: 0.1698 data_time: 0.1089 memory: 806 2022/08/09 02:20:46 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:08:16 time: 0.1363 data_time: 0.0729 memory: 806 2022/08/09 02:20:48 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:04:44 time: 0.0786 data_time: 0.0070 memory: 899 2022/08/09 02:20:50 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:05:15 time: 0.0875 data_time: 0.0142 memory: 899 2022/08/09 02:20:52 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:05:51 time: 0.0982 data_time: 0.0053 memory: 899 2022/08/09 02:20:53 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:04:49 time: 0.0813 data_time: 0.0069 memory: 899 2022/08/09 02:20:55 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:04:48 time: 0.0814 data_time: 0.0068 memory: 899 2022/08/09 02:20:56 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:03:24 time: 0.0581 data_time: 0.0046 memory: 741 2022/08/09 02:20:57 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:03:26 time: 0.0589 data_time: 0.0065 memory: 741 2022/08/09 02:20:59 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:03:34 time: 0.0617 data_time: 0.0063 memory: 741 2022/08/09 02:21:00 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:03:24 time: 0.0592 data_time: 0.0053 memory: 741 2022/08/09 02:21:01 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:04:42 time: 0.0820 data_time: 0.0049 memory: 741 2022/08/09 02:21:03 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:03:37 time: 0.0636 data_time: 0.0060 memory: 806 2022/08/09 02:21:04 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:03:40 time: 0.0647 data_time: 0.0042 memory: 806 2022/08/09 02:21:05 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:03:30 time: 0.0623 data_time: 0.0044 memory: 806 2022/08/09 02:21:06 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:03:03 time: 0.0546 data_time: 0.0045 memory: 806 2022/08/09 02:21:07 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:03:00 time: 0.0541 data_time: 0.0034 memory: 769 2022/08/09 02:21:09 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:02:57 time: 0.0534 data_time: 0.0043 memory: 769 2022/08/09 02:21:10 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:02:54 time: 0.0528 data_time: 0.0036 memory: 769 2022/08/09 02:21:11 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:02:54 time: 0.0533 data_time: 0.0034 memory: 769 2022/08/09 02:21:12 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:03:17 time: 0.0607 data_time: 0.0039 memory: 806 2022/08/09 02:21:13 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:03:14 time: 0.0600 data_time: 0.0038 memory: 806 2022/08/09 02:21:14 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:03:31 time: 0.0657 data_time: 0.0051 memory: 806 2022/08/09 02:21:16 - mmengine - INFO - Epoch(val) [9][3080/6282] eta: 0:03:20 time: 0.0627 data_time: 0.0042 memory: 806 2022/08/09 02:21:17 - mmengine - INFO - Epoch(val) [9][3100/6282] eta: 0:03:14 time: 0.0611 data_time: 0.0065 memory: 806 2022/08/09 02:21:18 - mmengine - INFO - Epoch(val) [9][3120/6282] eta: 0:03:03 time: 0.0581 data_time: 0.0053 memory: 741 2022/08/09 02:21:20 - mmengine - INFO - Epoch(val) [9][3140/6282] eta: 0:04:32 time: 0.0867 data_time: 0.0048 memory: 741 2022/08/09 02:21:21 - mmengine - INFO - Epoch(val) [9][3160/6282] eta: 0:03:13 time: 0.0619 data_time: 0.0062 memory: 741 2022/08/09 02:21:22 - mmengine - INFO - Epoch(val) [9][3180/6282] eta: 0:03:01 time: 0.0585 data_time: 0.0063 memory: 741 2022/08/09 02:21:24 - mmengine - INFO - Epoch(val) [9][3200/6282] eta: 0:03:27 time: 0.0674 data_time: 0.0063 memory: 806 2022/08/09 02:21:25 - mmengine - INFO - Epoch(val) [9][3220/6282] eta: 0:03:49 time: 0.0748 data_time: 0.0145 memory: 806 2022/08/09 02:21:27 - mmengine - INFO - Epoch(val) [9][3240/6282] eta: 0:03:49 time: 0.0755 data_time: 0.0143 memory: 806 2022/08/09 02:21:28 - mmengine - INFO - Epoch(val) [9][3260/6282] eta: 0:03:17 time: 0.0653 data_time: 0.0047 memory: 806 2022/08/09 02:21:29 - mmengine - INFO - Epoch(val) [9][3280/6282] eta: 0:03:27 time: 0.0692 data_time: 0.0084 memory: 806 2022/08/09 02:21:31 - mmengine - INFO - Epoch(val) [9][3300/6282] eta: 0:03:06 time: 0.0624 data_time: 0.0048 memory: 806 2022/08/09 02:21:32 - mmengine - INFO - Epoch(val) [9][3320/6282] eta: 0:03:04 time: 0.0623 data_time: 0.0050 memory: 806 2022/08/09 02:21:33 - mmengine - INFO - Epoch(val) [9][3340/6282] eta: 0:03:13 time: 0.0658 data_time: 0.0049 memory: 806 2022/08/09 02:21:35 - mmengine - INFO - Epoch(val) [9][3360/6282] eta: 0:03:11 time: 0.0657 data_time: 0.0049 memory: 806 2022/08/09 02:21:36 - mmengine - INFO - Epoch(val) [9][3380/6282] eta: 0:03:09 time: 0.0654 data_time: 0.0046 memory: 806 2022/08/09 02:21:37 - mmengine - INFO - Epoch(val) [9][3400/6282] eta: 0:02:35 time: 0.0541 data_time: 0.0049 memory: 736 2022/08/09 02:21:38 - mmengine - INFO - Epoch(val) [9][3420/6282] eta: 0:02:23 time: 0.0502 data_time: 0.0043 memory: 736 2022/08/09 02:21:40 - mmengine - INFO - Epoch(val) [9][3440/6282] eta: 0:03:42 time: 0.0782 data_time: 0.0052 memory: 736 2022/08/09 02:21:41 - mmengine - INFO - Epoch(val) [9][3460/6282] eta: 0:02:28 time: 0.0526 data_time: 0.0046 memory: 736 2022/08/09 02:21:42 - mmengine - INFO - Epoch(val) [9][3480/6282] eta: 0:02:21 time: 0.0507 data_time: 0.0038 memory: 736 2022/08/09 02:21:43 - mmengine - INFO - Epoch(val) [9][3500/6282] eta: 0:02:28 time: 0.0536 data_time: 0.0052 memory: 736 2022/08/09 02:21:44 - mmengine - INFO - Epoch(val) [9][3520/6282] eta: 0:02:26 time: 0.0530 data_time: 0.0048 memory: 736 2022/08/09 02:21:45 - mmengine - INFO - Epoch(val) [9][3540/6282] eta: 0:02:19 time: 0.0509 data_time: 0.0038 memory: 736 2022/08/09 02:21:46 - mmengine - INFO - Epoch(val) [9][3560/6282] eta: 0:02:21 time: 0.0519 data_time: 0.0035 memory: 736 2022/08/09 02:21:47 - mmengine - INFO - Epoch(val) [9][3580/6282] eta: 0:02:33 time: 0.0567 data_time: 0.0044 memory: 786 2022/08/09 02:21:48 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:02:34 time: 0.0575 data_time: 0.0046 memory: 786 2022/08/09 02:21:49 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:02:47 time: 0.0630 data_time: 0.0071 memory: 786 2022/08/09 02:21:51 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:02:49 time: 0.0643 data_time: 0.0059 memory: 786 2022/08/09 02:21:52 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:02:46 time: 0.0633 data_time: 0.0055 memory: 786 2022/08/09 02:21:53 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:02:50 time: 0.0656 data_time: 0.0059 memory: 806 2022/08/09 02:21:55 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:03:36 time: 0.0840 data_time: 0.0219 memory: 806 2022/08/09 02:21:57 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:03:54 time: 0.0914 data_time: 0.0264 memory: 806 2022/08/09 02:21:59 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:04:34 time: 0.1078 data_time: 0.0225 memory: 806 2022/08/09 02:22:00 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:02:53 time: 0.0689 data_time: 0.0064 memory: 806 2022/08/09 02:22:02 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:03:34 time: 0.0859 data_time: 0.0227 memory: 806 2022/08/09 02:22:04 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:03:42 time: 0.0897 data_time: 0.0245 memory: 806 2022/08/09 02:22:06 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:03:38 time: 0.0886 data_time: 0.0267 memory: 806 2022/08/09 02:22:07 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:03:17 time: 0.0807 data_time: 0.0190 memory: 806 2022/08/09 02:22:09 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:03:41 time: 0.0917 data_time: 0.0305 memory: 806 2022/08/09 02:22:11 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:04:09 time: 0.1039 data_time: 0.0424 memory: 806 2022/08/09 02:22:13 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:03:14 time: 0.0817 data_time: 0.0217 memory: 806 2022/08/09 02:22:15 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:03:18 time: 0.0839 data_time: 0.0242 memory: 806 2022/08/09 02:22:16 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:02:45 time: 0.0706 data_time: 0.0103 memory: 806 2022/08/09 02:22:17 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:02:31 time: 0.0652 data_time: 0.0066 memory: 806 2022/08/09 02:22:19 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:03:24 time: 0.0890 data_time: 0.0046 memory: 806 2022/08/09 02:22:20 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:02:12 time: 0.0582 data_time: 0.0039 memory: 806 2022/08/09 02:22:21 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:02:14 time: 0.0594 data_time: 0.0040 memory: 806 2022/08/09 02:22:23 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:02:19 time: 0.0620 data_time: 0.0040 memory: 899 2022/08/09 02:22:24 - mmengine - INFO - Epoch(val) [9][4060/6282] eta: 0:02:35 time: 0.0701 data_time: 0.0049 memory: 899 2022/08/09 02:22:26 - mmengine - INFO - Epoch(val) [9][4080/6282] eta: 0:02:36 time: 0.0710 data_time: 0.0050 memory: 899 2022/08/09 02:22:27 - mmengine - INFO - Epoch(val) [9][4100/6282] eta: 0:02:37 time: 0.0720 data_time: 0.0051 memory: 899 2022/08/09 02:22:29 - mmengine - INFO - Epoch(val) [9][4120/6282] eta: 0:02:51 time: 0.0792 data_time: 0.0068 memory: 899 2022/08/09 02:22:30 - mmengine - INFO - Epoch(val) [9][4140/6282] eta: 0:02:32 time: 0.0711 data_time: 0.0060 memory: 899 2022/08/09 02:22:31 - mmengine - INFO - Epoch(val) [9][4160/6282] eta: 0:01:54 time: 0.0540 data_time: 0.0046 memory: 736 2022/08/09 02:22:32 - mmengine - INFO - Epoch(val) [9][4180/6282] eta: 0:01:59 time: 0.0567 data_time: 0.0047 memory: 736 2022/08/09 02:22:33 - mmengine - INFO - Epoch(val) [9][4200/6282] eta: 0:01:54 time: 0.0549 data_time: 0.0049 memory: 736 2022/08/09 02:22:34 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:01:52 time: 0.0544 data_time: 0.0039 memory: 736 2022/08/09 02:22:36 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:01:51 time: 0.0548 data_time: 0.0045 memory: 736 2022/08/09 02:22:37 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:01:49 time: 0.0539 data_time: 0.0043 memory: 735 2022/08/09 02:22:38 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:01:45 time: 0.0527 data_time: 0.0036 memory: 735 2022/08/09 02:22:39 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:02:32 time: 0.0769 data_time: 0.0043 memory: 735 2022/08/09 02:22:40 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:01:35 time: 0.0487 data_time: 0.0037 memory: 735 2022/08/09 02:22:41 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:01:35 time: 0.0493 data_time: 0.0038 memory: 735 2022/08/09 02:22:42 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:01:54 time: 0.0596 data_time: 0.0036 memory: 806 2022/08/09 02:22:44 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:01:54 time: 0.0604 data_time: 0.0045 memory: 806 2022/08/09 02:22:45 - mmengine - INFO - Epoch(val) [9][4400/6282] eta: 0:01:53 time: 0.0603 data_time: 0.0048 memory: 806 2022/08/09 02:22:46 - mmengine - INFO - Epoch(val) [9][4420/6282] eta: 0:01:55 time: 0.0621 data_time: 0.0049 memory: 806 2022/08/09 02:22:47 - mmengine - INFO - Epoch(val) [9][4440/6282] eta: 0:01:58 time: 0.0643 data_time: 0.0043 memory: 814 2022/08/09 02:22:49 - mmengine - INFO - Epoch(val) [9][4460/6282] eta: 0:01:57 time: 0.0645 data_time: 0.0053 memory: 814 2022/08/09 02:22:50 - mmengine - INFO - Epoch(val) [9][4480/6282] eta: 0:02:00 time: 0.0667 data_time: 0.0056 memory: 814 2022/08/09 02:22:51 - mmengine - INFO - Epoch(val) [9][4500/6282] eta: 0:02:00 time: 0.0679 data_time: 0.0062 memory: 814 2022/08/09 02:22:53 - mmengine - INFO - Epoch(val) [9][4520/6282] eta: 0:01:52 time: 0.0638 data_time: 0.0053 memory: 814 2022/08/09 02:22:54 - mmengine - INFO - Epoch(val) [9][4540/6282] eta: 0:01:35 time: 0.0551 data_time: 0.0044 memory: 742 2022/08/09 02:22:55 - mmengine - INFO - Epoch(val) [9][4560/6282] eta: 0:01:34 time: 0.0546 data_time: 0.0044 memory: 742 2022/08/09 02:22:56 - mmengine - INFO - Epoch(val) [9][4580/6282] eta: 0:01:33 time: 0.0551 data_time: 0.0063 memory: 742 2022/08/09 02:22:57 - mmengine - INFO - Epoch(val) [9][4600/6282] eta: 0:01:32 time: 0.0551 data_time: 0.0039 memory: 742 2022/08/09 02:22:58 - mmengine - INFO - Epoch(val) [9][4620/6282] eta: 0:01:29 time: 0.0539 data_time: 0.0046 memory: 742 2022/08/09 02:23:00 - mmengine - INFO - Epoch(val) [9][4640/6282] eta: 0:02:29 time: 0.0910 data_time: 0.0057 memory: 814 2022/08/09 02:23:01 - mmengine - INFO - Epoch(val) [9][4660/6282] eta: 0:01:39 time: 0.0615 data_time: 0.0043 memory: 814 2022/08/09 02:23:02 - mmengine - INFO - Epoch(val) [9][4680/6282] eta: 0:01:40 time: 0.0625 data_time: 0.0042 memory: 814 2022/08/09 02:23:04 - mmengine - INFO - Epoch(val) [9][4700/6282] eta: 0:01:40 time: 0.0636 data_time: 0.0042 memory: 814 2022/08/09 02:23:05 - mmengine - INFO - Epoch(val) [9][4720/6282] eta: 0:01:34 time: 0.0608 data_time: 0.0042 memory: 814 2022/08/09 02:23:06 - mmengine - INFO - Epoch(val) [9][4740/6282] eta: 0:01:23 time: 0.0542 data_time: 0.0042 memory: 766 2022/08/09 02:23:07 - mmengine - INFO - Epoch(val) [9][4760/6282] eta: 0:01:27 time: 0.0575 data_time: 0.0048 memory: 766 2022/08/09 02:23:08 - 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mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:55 time: 0.0874 data_time: 0.0057 memory: 809 2022/08/09 02:23:22 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:26 time: 0.0665 data_time: 0.0045 memory: 809 2022/08/09 02:23:23 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:01:22 time: 0.0643 data_time: 0.0051 memory: 809 2022/08/09 02:23:24 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:01:15 time: 0.0595 data_time: 0.0040 memory: 809 2022/08/09 02:23:25 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:01:10 time: 0.0565 data_time: 0.0062 memory: 741 2022/08/09 02:23:26 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:01:07 time: 0.0554 data_time: 0.0055 memory: 741 2022/08/09 02:23:27 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:01:08 time: 0.0569 data_time: 0.0050 memory: 741 2022/08/09 02:23:29 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:01:06 time: 0.0562 data_time: 0.0054 memory: 741 2022/08/09 02:23:30 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:01:08 time: 0.0590 data_time: 0.0051 memory: 741 2022/08/09 02:23:31 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:01:05 time: 0.0573 data_time: 0.0052 memory: 736 2022/08/09 02:23:32 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:01:06 time: 0.0591 data_time: 0.0056 memory: 736 2022/08/09 02:23:34 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:01:26 time: 0.0783 data_time: 0.0041 memory: 736 2022/08/09 02:23:35 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:01:00 time: 0.0561 data_time: 0.0047 memory: 736 2022/08/09 02:23:36 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:00:58 time: 0.0554 data_time: 0.0045 memory: 736 2022/08/09 02:23:37 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:00:58 time: 0.0557 data_time: 0.0061 memory: 735 2022/08/09 02:23:38 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:00:53 time: 0.0526 data_time: 0.0042 memory: 735 2022/08/09 02:23:39 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:00:55 time: 0.0558 data_time: 0.0047 memory: 735 2022/08/09 02:23:40 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:00:53 time: 0.0548 data_time: 0.0057 memory: 735 2022/08/09 02:23:41 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:00:53 time: 0.0554 data_time: 0.0048 memory: 736 2022/08/09 02:23:43 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:00:51 time: 0.0550 data_time: 0.0051 memory: 736 2022/08/09 02:23:44 - mmengine - INFO - Epoch(val) [9][5360/6282] eta: 0:00:51 time: 0.0560 data_time: 0.0048 memory: 736 2022/08/09 02:23:45 - mmengine - INFO - Epoch(val) [9][5380/6282] eta: 0:01:09 time: 0.0772 data_time: 0.0056 memory: 736 2022/08/09 02:23:46 - mmengine - INFO - Epoch(val) [9][5400/6282] eta: 0:00:46 time: 0.0532 data_time: 0.0049 memory: 736 2022/08/09 02:23:47 - mmengine - INFO - Epoch(val) [9][5420/6282] eta: 0:00:47 time: 0.0557 data_time: 0.0051 memory: 736 2022/08/09 02:23:49 - mmengine - INFO - Epoch(val) [9][5440/6282] eta: 0:00:52 time: 0.0623 data_time: 0.0055 memory: 736 2022/08/09 02:23:50 - mmengine - INFO - Epoch(val) [9][5460/6282] eta: 0:00:47 time: 0.0576 data_time: 0.0047 memory: 736 2022/08/09 02:23:51 - mmengine - INFO - Epoch(val) [9][5480/6282] eta: 0:00:44 time: 0.0551 data_time: 0.0043 memory: 736 2022/08/09 02:23:52 - mmengine - INFO - Epoch(val) [9][5500/6282] eta: 0:00:43 time: 0.0550 data_time: 0.0053 memory: 736 2022/08/09 02:23:53 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:45 time: 0.0602 data_time: 0.0060 memory: 761 2022/08/09 02:23:54 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:43 time: 0.0583 data_time: 0.0048 memory: 761 2022/08/09 02:23:56 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:41 time: 0.0570 data_time: 0.0046 memory: 761 2022/08/09 02:23:57 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:42 time: 0.0599 data_time: 0.0050 memory: 761 2022/08/09 02:23:58 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:38 time: 0.0561 data_time: 0.0049 memory: 761 2022/08/09 02:24:00 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:53 time: 0.0802 data_time: 0.0056 memory: 761 2022/08/09 02:24:01 - mmengine - INFO - Epoch(val) [9][5640/6282] eta: 0:00:34 time: 0.0543 data_time: 0.0050 memory: 736 2022/08/09 02:24:02 - mmengine - INFO - Epoch(val) [9][5660/6282] eta: 0:00:32 time: 0.0521 data_time: 0.0050 memory: 736 2022/08/09 02:24:03 - mmengine - INFO - Epoch(val) [9][5680/6282] eta: 0:00:32 time: 0.0538 data_time: 0.0032 memory: 736 2022/08/09 02:24:04 - mmengine - INFO - Epoch(val) [9][5700/6282] eta: 0:00:30 time: 0.0530 data_time: 0.0044 memory: 736 2022/08/09 02:24:05 - mmengine - INFO - Epoch(val) [9][5720/6282] eta: 0:00:29 time: 0.0530 data_time: 0.0037 memory: 777 2022/08/09 02:24:06 - mmengine - INFO - Epoch(val) [9][5740/6282] eta: 0:00:28 time: 0.0533 data_time: 0.0038 memory: 777 2022/08/09 02:24:07 - mmengine - INFO - Epoch(val) [9][5760/6282] eta: 0:00:30 time: 0.0584 data_time: 0.0049 memory: 777 2022/08/09 02:24:08 - mmengine - INFO - Epoch(val) [9][5780/6282] eta: 0:00:30 time: 0.0612 data_time: 0.0049 memory: 777 2022/08/09 02:24:10 - mmengine - INFO - Epoch(val) [9][5800/6282] eta: 0:00:30 time: 0.0623 data_time: 0.0054 memory: 777 2022/08/09 02:24:11 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:27 time: 0.0588 data_time: 0.0046 memory: 777 2022/08/09 02:24:12 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:25 time: 0.0583 data_time: 0.0058 memory: 761 2022/08/09 02:24:13 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:24 time: 0.0587 data_time: 0.0057 memory: 761 2022/08/09 02:24:14 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:23 time: 0.0581 data_time: 0.0052 memory: 761 2022/08/09 02:24:16 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:22 time: 0.0601 data_time: 0.0060 memory: 761 2022/08/09 02:24:17 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:20 time: 0.0579 data_time: 0.0047 memory: 761 2022/08/09 02:24:18 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:19 time: 0.0573 data_time: 0.0053 memory: 736 2022/08/09 02:24:20 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:25 time: 0.0800 data_time: 0.0045 memory: 736 2022/08/09 02:24:21 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:16 time: 0.0555 data_time: 0.0053 memory: 736 2022/08/09 02:24:22 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:18 time: 0.0642 data_time: 0.0075 memory: 806 2022/08/09 02:24:23 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:18 time: 0.0704 data_time: 0.0056 memory: 806 2022/08/09 02:24:25 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:16 time: 0.0695 data_time: 0.0064 memory: 806 2022/08/09 02:24:26 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:15 time: 0.0689 data_time: 0.0063 memory: 806 2022/08/09 02:24:28 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:14 time: 0.0700 data_time: 0.0054 memory: 806 2022/08/09 02:24:29 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:13 time: 0.0752 data_time: 0.0134 memory: 806 2022/08/09 02:24:31 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:13 time: 0.0861 data_time: 0.0195 memory: 806 2022/08/09 02:24:32 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:11 time: 0.0802 data_time: 0.0198 memory: 806 2022/08/09 02:24:34 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:07 time: 0.0613 data_time: 0.0062 memory: 806 2022/08/09 02:24:35 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:05 time: 0.0581 data_time: 0.0043 memory: 806 2022/08/09 02:24:36 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:04 time: 0.0556 data_time: 0.0030 memory: 806 2022/08/09 02:24:37 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:03 time: 0.0562 data_time: 0.0038 memory: 806 2022/08/09 02:24:38 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:02 time: 0.0546 data_time: 0.0033 memory: 806 2022/08/09 02:24:40 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:01 time: 0.0779 data_time: 0.0030 memory: 806 2022/08/09 02:24:41 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0528 data_time: 0.0026 memory: 806 2022/08/09 02:28:51 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.2522 2022/08/09 02:29:07 - mmengine - INFO - Epoch(train) [10][20/2881] lr: 1.0000e-01 eta: 5:51:25 time: 0.7937 data_time: 0.1763 memory: 13802 grad_norm: 0.1675 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8106 recall@top3: 0.8371 prec@top3: 0.7121 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0407 loss: 0.0407 2022/08/09 02:29:20 - mmengine - INFO - Epoch(train) [10][40/2881] lr: 1.0000e-01 eta: 5:51:11 time: 0.6374 data_time: 0.0278 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8017 recall@top3: 0.8362 prec@top3: 0.6207 recall@top5: 1.0000 prec@top5: 0.4345 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 02:29:33 - mmengine - INFO - Epoch(train) [10][60/2881] lr: 1.0000e-01 eta: 5:50:57 time: 0.6458 data_time: 0.0231 memory: 13802 grad_norm: 0.1606 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7306 recall@top3: 0.8500 prec@top3: 0.6222 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0441 loss: 0.0441 2022/08/09 02:29:40 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 02:29:45 - mmengine - INFO - Epoch(train) [10][80/2881] lr: 1.0000e-01 eta: 5:50:43 time: 0.6081 data_time: 0.0245 memory: 13802 grad_norm: 0.1592 recall@thr=0.5: 0.7580 prec@thr=0.5: 0.7174 recall@top3: 0.8486 prec@top3: 0.6232 recall@top5: 0.9913 prec@top5: 0.4348 loss_action_cls: 0.0399 loss: 0.0399 2022/08/09 02:29:58 - mmengine - INFO - Epoch(train) [10][100/2881] lr: 1.0000e-01 eta: 5:50:29 time: 0.6315 data_time: 0.0246 memory: 13802 grad_norm: 0.1560 recall@thr=0.5: 0.8922 prec@thr=0.5: 0.9608 recall@top3: 0.9412 prec@top3: 0.7059 recall@top5: 0.9853 prec@top5: 0.4471 loss_action_cls: 0.0371 loss: 0.0371 2022/08/09 02:30:11 - mmengine - INFO - Epoch(train) [10][120/2881] lr: 1.0000e-01 eta: 5:50:15 time: 0.6575 data_time: 0.0225 memory: 13802 grad_norm: 0.1594 recall@thr=0.5: 0.7527 prec@thr=0.5: 0.7527 recall@top3: 0.8656 prec@top3: 0.5806 recall@top5: 0.9409 prec@top5: 0.3871 loss_action_cls: 0.0355 loss: 0.0355 2022/08/09 02:30:24 - mmengine - INFO - Epoch(train) [10][140/2881] lr: 1.0000e-01 eta: 5:50:01 time: 0.6323 data_time: 0.0225 memory: 13802 grad_norm: 0.1552 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8958 recall@top3: 0.9306 prec@top3: 0.6528 recall@top5: 0.9792 prec@top5: 0.4250 loss_action_cls: 0.0343 loss: 0.0343 2022/08/09 02:30:36 - mmengine - INFO - Epoch(train) [10][160/2881] lr: 1.0000e-01 eta: 5:49:47 time: 0.6304 data_time: 0.0208 memory: 13802 grad_norm: 0.1717 recall@thr=0.5: 0.5189 prec@thr=0.5: 0.7273 recall@top3: 0.7614 prec@top3: 0.6364 recall@top5: 0.9129 prec@top5: 0.4727 loss_action_cls: 0.0378 loss: 0.0378 2022/08/09 02:30:48 - mmengine - INFO - Epoch(train) [10][180/2881] lr: 1.0000e-01 eta: 5:49:32 time: 0.6042 data_time: 0.0192 memory: 13802 grad_norm: 0.1515 recall@thr=0.5: 0.6477 prec@thr=0.5: 0.7727 recall@top3: 0.6364 prec@top3: 0.6364 recall@top5: 0.8977 prec@top5: 0.5182 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 02:31:01 - mmengine - INFO - Epoch(train) [10][200/2881] lr: 1.0000e-01 eta: 5:49:18 time: 0.6286 data_time: 0.0220 memory: 13802 grad_norm: 0.1609 recall@thr=0.5: 0.7067 prec@thr=0.5: 0.7600 recall@top3: 0.8467 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 02:31:14 - mmengine - INFO - Epoch(train) [10][220/2881] lr: 1.0000e-01 eta: 5:49:04 time: 0.6517 data_time: 0.0209 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8980 recall@top3: 0.8333 prec@top3: 0.6863 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 02:31:26 - mmengine - INFO - Epoch(train) [10][240/2881] lr: 1.0000e-01 eta: 5:48:50 time: 0.6164 data_time: 0.0210 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8397 recall@top3: 0.8462 prec@top3: 0.7436 recall@top5: 0.9615 prec@top5: 0.5231 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 02:31:39 - mmengine - INFO - Epoch(train) [10][260/2881] lr: 1.0000e-01 eta: 5:48:36 time: 0.6606 data_time: 0.0226 memory: 13802 grad_norm: 0.1633 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8889 recall@top3: 0.8611 prec@top3: 0.6528 recall@top5: 0.8819 prec@top5: 0.4083 loss_action_cls: 0.0366 loss: 0.0366 2022/08/09 02:31:52 - mmengine - INFO - Epoch(train) [10][280/2881] lr: 1.0000e-01 eta: 5:48:22 time: 0.6099 data_time: 0.0239 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.7563 prec@thr=0.5: 0.8177 recall@top3: 0.7854 prec@top3: 0.6250 recall@top5: 0.9094 prec@top5: 0.4625 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 02:32:04 - mmengine - INFO - Epoch(train) [10][300/2881] lr: 1.0000e-01 eta: 5:48:07 time: 0.6300 data_time: 0.0216 memory: 13802 grad_norm: 0.1577 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8385 recall@top3: 0.8516 prec@top3: 0.7083 recall@top5: 0.9609 prec@top5: 0.4812 loss_action_cls: 0.0325 loss: 0.0325 2022/08/09 02:32:16 - mmengine - INFO - Epoch(train) [10][320/2881] lr: 1.0000e-01 eta: 5:47:53 time: 0.6043 data_time: 0.0212 memory: 13802 grad_norm: 0.1696 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8306 recall@top3: 0.8264 prec@top3: 0.7361 recall@top5: 0.9618 prec@top5: 0.5333 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 02:32:29 - mmengine - INFO - Epoch(train) [10][340/2881] lr: 1.0000e-01 eta: 5:47:39 time: 0.6352 data_time: 0.0217 memory: 13802 grad_norm: 0.1540 recall@thr=0.5: 0.8200 prec@thr=0.5: 0.8600 recall@top3: 0.8800 prec@top3: 0.7333 recall@top5: 0.9600 prec@top5: 0.4800 loss_action_cls: 0.0372 loss: 0.0372 2022/08/09 02:32:42 - mmengine - INFO - Epoch(train) [10][360/2881] lr: 1.0000e-01 eta: 5:47:25 time: 0.6419 data_time: 0.0276 memory: 13802 grad_norm: 0.1600 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8125 recall@top3: 0.7292 prec@top3: 0.5417 recall@top5: 0.8333 prec@top5: 0.3750 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 02:32:54 - mmengine - INFO - Epoch(train) [10][380/2881] lr: 1.0000e-01 eta: 5:47:10 time: 0.6036 data_time: 0.0220 memory: 13802 grad_norm: 0.1683 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9537 recall@top3: 0.9444 prec@top3: 0.6852 recall@top5: 0.9815 prec@top5: 0.4333 loss_action_cls: 0.0381 loss: 0.0381 2022/08/09 02:33:06 - mmengine - INFO - Epoch(train) [10][400/2881] lr: 1.0000e-01 eta: 5:46:56 time: 0.6292 data_time: 0.0207 memory: 13802 grad_norm: 0.1563 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.8732 recall@top3: 0.8406 prec@top3: 0.7681 recall@top5: 0.9275 prec@top5: 0.5043 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 02:33:19 - mmengine - INFO - Epoch(train) [10][420/2881] lr: 1.0000e-01 eta: 5:46:42 time: 0.6328 data_time: 0.0224 memory: 13802 grad_norm: 0.1529 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7306 recall@top3: 0.7183 prec@top3: 0.7556 recall@top5: 0.9383 prec@top5: 0.6133 loss_action_cls: 0.0356 loss: 0.0356 2022/08/09 02:33:32 - mmengine - INFO - Epoch(train) [10][440/2881] lr: 1.0000e-01 eta: 5:46:28 time: 0.6603 data_time: 0.0236 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.8864 recall@top3: 0.8333 prec@top3: 0.7576 recall@top5: 0.9697 prec@top5: 0.5273 loss_action_cls: 0.0354 loss: 0.0354 2022/08/09 02:33:44 - mmengine - INFO - Epoch(train) [10][460/2881] lr: 1.0000e-01 eta: 5:46:14 time: 0.6023 data_time: 0.0225 memory: 13802 grad_norm: 0.1657 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.6984 recall@top3: 0.8651 prec@top3: 0.5556 recall@top5: 0.9524 prec@top5: 0.3810 loss_action_cls: 0.0371 loss: 0.0371 2022/08/09 02:33:57 - mmengine - INFO - Epoch(train) [10][480/2881] lr: 1.0000e-01 eta: 5:46:00 time: 0.6396 data_time: 0.0224 memory: 13802 grad_norm: 0.1618 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8093 recall@top3: 0.7515 prec@top3: 0.7745 recall@top5: 0.9485 prec@top5: 0.6000 loss_action_cls: 0.0419 loss: 0.0419 2022/08/09 02:34:09 - mmengine - INFO - Epoch(train) [10][500/2881] lr: 1.0000e-01 eta: 5:45:45 time: 0.6043 data_time: 0.0223 memory: 13802 grad_norm: 0.1543 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6825 recall@top3: 0.7222 prec@top3: 0.6984 recall@top5: 0.9683 prec@top5: 0.5714 loss_action_cls: 0.0400 loss: 0.0400 2022/08/09 02:34:22 - mmengine - INFO - Epoch(train) [10][520/2881] lr: 1.0000e-01 eta: 5:45:31 time: 0.6417 data_time: 0.0215 memory: 13802 grad_norm: 0.1669 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7917 recall@top3: 0.9792 prec@top3: 0.6250 recall@top5: 0.9792 prec@top5: 0.3750 loss_action_cls: 0.0367 loss: 0.0367 2022/08/09 02:34:35 - mmengine - INFO - Epoch(train) [10][540/2881] lr: 1.0000e-01 eta: 5:45:17 time: 0.6509 data_time: 0.0269 memory: 13802 grad_norm: 0.1620 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.6905 recall@top3: 0.8651 prec@top3: 0.5556 recall@top5: 0.9762 prec@top5: 0.3810 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:34:47 - mmengine - INFO - Epoch(train) [10][560/2881] lr: 1.0000e-01 eta: 5:45:03 time: 0.6047 data_time: 0.0219 memory: 13802 grad_norm: 0.1549 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8333 recall@top3: 0.8361 prec@top3: 0.7222 recall@top5: 0.8972 prec@top5: 0.4733 loss_action_cls: 0.0345 loss: 0.0345 2022/08/09 02:35:00 - mmengine - INFO - Epoch(train) [10][580/2881] lr: 1.0000e-01 eta: 5:44:49 time: 0.6441 data_time: 0.0214 memory: 13802 grad_norm: 0.1631 recall@thr=0.5: 0.7492 prec@thr=0.5: 0.7689 recall@top3: 0.8826 prec@top3: 0.6364 recall@top5: 0.9159 prec@top5: 0.4091 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 02:35:13 - mmengine - INFO - Epoch(train) [10][600/2881] lr: 1.0000e-01 eta: 5:44:35 time: 0.6371 data_time: 0.0281 memory: 13802 grad_norm: 0.1670 recall@thr=0.5: 0.5382 prec@thr=0.5: 0.7431 recall@top3: 0.7743 prec@top3: 0.6250 recall@top5: 0.8681 prec@top5: 0.4333 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 02:35:25 - mmengine - INFO - Epoch(train) [10][620/2881] lr: 1.0000e-01 eta: 5:44:21 time: 0.6308 data_time: 0.0228 memory: 13802 grad_norm: 0.1647 recall@thr=0.5: 0.7421 prec@thr=0.5: 0.8175 recall@top3: 0.9206 prec@top3: 0.8254 recall@top5: 1.0000 prec@top5: 0.5524 loss_action_cls: 0.0349 loss: 0.0349 2022/08/09 02:35:38 - mmengine - INFO - Epoch(train) [10][640/2881] lr: 1.0000e-01 eta: 5:44:07 time: 0.6216 data_time: 0.0219 memory: 13802 grad_norm: 0.1688 recall@thr=0.5: 0.7867 prec@thr=0.5: 0.7967 recall@top3: 0.8800 prec@top3: 0.8133 recall@top5: 1.0000 prec@top5: 0.5520 loss_action_cls: 0.0393 loss: 0.0393 2022/08/09 02:35:51 - mmengine - INFO - Epoch(train) [10][660/2881] lr: 1.0000e-01 eta: 5:43:53 time: 0.6538 data_time: 0.0227 memory: 13802 grad_norm: 0.1553 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.9167 recall@top3: 0.9015 prec@top3: 0.8636 recall@top5: 0.9848 prec@top5: 0.5727 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 02:36:03 - mmengine - INFO - Epoch(train) [10][680/2881] lr: 1.0000e-01 eta: 5:43:38 time: 0.6076 data_time: 0.0219 memory: 13802 grad_norm: 0.1613 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7302 recall@top3: 0.8730 prec@top3: 0.6825 recall@top5: 0.9444 prec@top5: 0.4476 loss_action_cls: 0.0317 loss: 0.0317 2022/08/09 02:36:16 - mmengine - INFO - Epoch(train) [10][700/2881] lr: 1.0000e-01 eta: 5:43:24 time: 0.6326 data_time: 0.0272 memory: 13802 grad_norm: 0.1710 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.7302 recall@top3: 0.8373 prec@top3: 0.6508 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 02:36:28 - mmengine - INFO - Epoch(train) [10][720/2881] lr: 1.0000e-01 eta: 5:43:10 time: 0.6286 data_time: 0.0225 memory: 13802 grad_norm: 0.1721 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.9706 recall@top3: 0.8578 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 02:36:41 - mmengine - INFO - Epoch(train) [10][740/2881] lr: 1.0000e-01 eta: 5:42:56 time: 0.6310 data_time: 0.0249 memory: 13802 grad_norm: 0.1721 recall@thr=0.5: 0.7088 prec@thr=0.5: 0.9561 recall@top3: 0.7947 prec@top3: 0.7368 recall@top5: 0.8711 prec@top5: 0.4947 loss_action_cls: 0.0366 loss: 0.0366 2022/08/09 02:36:53 - mmengine - INFO - Epoch(train) [10][760/2881] lr: 1.0000e-01 eta: 5:42:41 time: 0.6052 data_time: 0.0234 memory: 13802 grad_norm: 0.1612 recall@thr=0.5: 0.8144 prec@thr=0.5: 0.7197 recall@top3: 0.8250 prec@top3: 0.6212 recall@top5: 0.9326 prec@top5: 0.4455 loss_action_cls: 0.0370 loss: 0.0370 2022/08/09 02:37:06 - mmengine - INFO - Epoch(train) [10][780/2881] lr: 1.0000e-01 eta: 5:42:27 time: 0.6332 data_time: 0.0214 memory: 13802 grad_norm: 0.1592 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.9083 recall@top3: 0.8208 prec@top3: 0.6833 recall@top5: 0.9750 prec@top5: 0.5000 loss_action_cls: 0.0356 loss: 0.0356 2022/08/09 02:37:18 - mmengine - INFO - Epoch(train) [10][800/2881] lr: 1.0000e-01 eta: 5:42:13 time: 0.6224 data_time: 0.0271 memory: 13802 grad_norm: 0.1701 recall@thr=0.5: 0.6300 prec@thr=0.5: 0.6533 recall@top3: 0.7433 prec@top3: 0.6333 recall@top5: 0.8583 prec@top5: 0.4600 loss_action_cls: 0.0449 loss: 0.0449 2022/08/09 02:37:31 - mmengine - INFO - Epoch(train) [10][820/2881] lr: 1.0000e-01 eta: 5:41:59 time: 0.6289 data_time: 0.0233 memory: 13802 grad_norm: 0.1720 recall@thr=0.5: 0.7355 prec@thr=0.5: 0.8188 recall@top3: 0.7971 prec@top3: 0.6232 recall@top5: 0.9746 prec@top5: 0.4522 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 02:37:43 - mmengine - INFO - Epoch(train) [10][840/2881] lr: 1.0000e-01 eta: 5:41:44 time: 0.6110 data_time: 0.0206 memory: 13802 grad_norm: 0.1741 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7647 recall@top3: 0.7108 prec@top3: 0.7353 recall@top5: 0.8471 prec@top5: 0.5471 loss_action_cls: 0.0431 loss: 0.0431 2022/08/09 02:37:56 - mmengine - INFO - Epoch(train) [10][860/2881] lr: 1.0000e-01 eta: 5:41:31 time: 0.6424 data_time: 0.0208 memory: 13802 grad_norm: 0.1651 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.7111 recall@top3: 0.8556 prec@top3: 0.4889 recall@top5: 0.9222 prec@top5: 0.3333 loss_action_cls: 0.0348 loss: 0.0348 2022/08/09 02:38:08 - mmengine - INFO - Epoch(train) [10][880/2881] lr: 1.0000e-01 eta: 5:41:16 time: 0.6047 data_time: 0.0263 memory: 13802 grad_norm: 0.1685 recall@thr=0.5: 0.7172 prec@thr=0.5: 0.9040 recall@top3: 0.8586 prec@top3: 0.7374 recall@top5: 0.9697 prec@top5: 0.5152 loss_action_cls: 0.0370 loss: 0.0370 2022/08/09 02:38:21 - mmengine - INFO - Epoch(train) [10][900/2881] lr: 1.0000e-01 eta: 5:41:02 time: 0.6340 data_time: 0.0225 memory: 13802 grad_norm: 0.1560 recall@thr=0.5: 0.7541 prec@thr=0.5: 0.8288 recall@top3: 0.8509 prec@top3: 0.7297 recall@top5: 0.9306 prec@top5: 0.4865 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 02:38:33 - mmengine - INFO - Epoch(train) [10][920/2881] lr: 1.0000e-01 eta: 5:40:48 time: 0.6289 data_time: 0.0224 memory: 13802 grad_norm: 0.1605 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8133 recall@top3: 0.8167 prec@top3: 0.6533 recall@top5: 0.8567 prec@top5: 0.4160 loss_action_cls: 0.0347 loss: 0.0347 2022/08/09 02:38:46 - mmengine - INFO - Epoch(train) [10][940/2881] lr: 1.0000e-01 eta: 5:40:34 time: 0.6291 data_time: 0.0215 memory: 13802 grad_norm: 0.1611 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.7826 recall@top3: 0.8986 prec@top3: 0.6957 recall@top5: 0.9565 prec@top5: 0.4522 loss_action_cls: 0.0366 loss: 0.0366 2022/08/09 02:38:59 - mmengine - INFO - Epoch(train) [10][960/2881] lr: 1.0000e-01 eta: 5:40:20 time: 0.6437 data_time: 0.0212 memory: 13802 grad_norm: 0.1616 recall@thr=0.5: 0.7318 prec@thr=0.5: 0.9394 recall@top3: 0.8576 prec@top3: 0.8182 recall@top5: 0.9621 prec@top5: 0.5727 loss_action_cls: 0.0359 loss: 0.0359 2022/08/09 02:39:11 - mmengine - INFO - Epoch(train) [10][980/2881] lr: 1.0000e-01 eta: 5:40:05 time: 0.6081 data_time: 0.0234 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.6957 recall@top3: 0.8188 prec@top3: 0.4928 recall@top5: 0.8841 prec@top5: 0.3130 loss_action_cls: 0.0361 loss: 0.0361 2022/08/09 02:39:23 - mmengine - INFO - Epoch(train) [10][1000/2881] lr: 1.0000e-01 eta: 5:39:51 time: 0.6315 data_time: 0.0230 memory: 13802 grad_norm: 0.1572 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9000 recall@top3: 0.8583 prec@top3: 0.6167 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0359 loss: 0.0359 2022/08/09 02:39:36 - mmengine - INFO - Epoch(train) [10][1020/2881] lr: 1.0000e-01 eta: 5:39:38 time: 0.6420 data_time: 0.0202 memory: 13802 grad_norm: 0.1639 recall@thr=0.5: 0.8656 prec@thr=0.5: 0.7532 recall@top3: 0.8978 prec@top3: 0.6774 recall@top5: 1.0000 prec@top5: 0.4581 loss_action_cls: 0.0369 loss: 0.0369 2022/08/09 02:39:48 - mmengine - INFO - Epoch(train) [10][1040/2881] lr: 1.0000e-01 eta: 5:39:23 time: 0.6033 data_time: 0.0206 memory: 13802 grad_norm: 0.1653 recall@thr=0.5: 0.8817 prec@thr=0.5: 0.9048 recall@top3: 0.8548 prec@top3: 0.8095 recall@top5: 0.9690 prec@top5: 0.5714 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 02:40:01 - mmengine - INFO - Epoch(train) [10][1060/2881] lr: 1.0000e-01 eta: 5:39:09 time: 0.6303 data_time: 0.0226 memory: 13802 grad_norm: 0.1674 recall@thr=0.5: 0.6314 prec@thr=0.5: 0.8590 recall@top3: 0.7436 prec@top3: 0.5256 recall@top5: 0.9038 prec@top5: 0.3846 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 02:40:08 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 02:40:13 - mmengine - INFO - Epoch(train) [10][1080/2881] lr: 1.0000e-01 eta: 5:38:55 time: 0.6230 data_time: 0.0254 memory: 13802 grad_norm: 0.1633 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8030 recall@top3: 0.7803 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.5091 loss_action_cls: 0.0363 loss: 0.0363 2022/08/09 02:40:26 - mmengine - INFO - Epoch(train) [10][1100/2881] lr: 1.0000e-01 eta: 5:38:40 time: 0.6125 data_time: 0.0263 memory: 13802 grad_norm: 0.1627 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8583 recall@top3: 0.8438 prec@top3: 0.8333 recall@top5: 0.9062 prec@top5: 0.5417 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:40:38 - mmengine - INFO - Epoch(train) [10][1120/2881] lr: 1.0000e-01 eta: 5:38:26 time: 0.6284 data_time: 0.0202 memory: 13802 grad_norm: 0.1677 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.9298 recall@top3: 0.8947 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4211 loss_action_cls: 0.0347 loss: 0.0347 2022/08/09 02:40:50 - mmengine - INFO - Epoch(train) [10][1140/2881] lr: 1.0000e-01 eta: 5:38:11 time: 0.6037 data_time: 0.0232 memory: 13802 grad_norm: 0.1649 recall@thr=0.5: 0.8269 prec@thr=0.5: 0.9038 recall@top3: 0.9231 prec@top3: 0.8077 recall@top5: 1.0000 prec@top5: 0.5308 loss_action_cls: 0.0417 loss: 0.0417 2022/08/09 02:41:03 - mmengine - INFO - Epoch(train) [10][1160/2881] lr: 1.0000e-01 eta: 5:37:57 time: 0.6302 data_time: 0.0217 memory: 13802 grad_norm: 0.1714 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8571 recall@top3: 0.8532 prec@top3: 0.7143 recall@top5: 0.9841 prec@top5: 0.5048 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 02:41:16 - mmengine - INFO - Epoch(train) [10][1180/2881] lr: 1.0000e-01 eta: 5:37:44 time: 0.6454 data_time: 0.0226 memory: 13802 grad_norm: 0.1675 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8125 recall@top3: 0.9028 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3417 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 02:41:28 - mmengine - INFO - Epoch(train) [10][1200/2881] lr: 1.0000e-01 eta: 5:37:29 time: 0.6097 data_time: 0.0213 memory: 13802 grad_norm: 0.1603 recall@thr=0.5: 0.7100 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.5067 recall@top5: 0.9000 prec@top5: 0.3680 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 02:41:41 - mmengine - INFO - Epoch(train) [10][1220/2881] lr: 1.0000e-01 eta: 5:37:15 time: 0.6343 data_time: 0.0232 memory: 13802 grad_norm: 0.1589 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.7348 recall@top3: 0.7955 prec@top3: 0.7273 recall@top5: 0.9735 prec@top5: 0.5455 loss_action_cls: 0.0388 loss: 0.0388 2022/08/09 02:41:53 - mmengine - INFO - Epoch(train) [10][1240/2881] lr: 1.0000e-01 eta: 5:37:01 time: 0.6308 data_time: 0.0213 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.7615 prec@thr=0.5: 0.9375 recall@top3: 0.8865 prec@top3: 0.6875 recall@top5: 0.9667 prec@top5: 0.4750 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 02:42:06 - mmengine - INFO - Epoch(train) [10][1260/2881] lr: 1.0000e-01 eta: 5:36:47 time: 0.6131 data_time: 0.0225 memory: 13802 grad_norm: 0.1676 recall@thr=0.5: 0.8306 prec@thr=0.5: 0.8667 recall@top3: 0.9111 prec@top3: 0.8000 recall@top5: 0.9833 prec@top5: 0.5333 loss_action_cls: 0.0386 loss: 0.0386 2022/08/09 02:42:18 - mmengine - INFO - Epoch(train) [10][1280/2881] lr: 1.0000e-01 eta: 5:36:33 time: 0.6241 data_time: 0.0206 memory: 13802 grad_norm: 0.1680 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6905 recall@top3: 0.6905 prec@top3: 0.5397 recall@top5: 0.9206 prec@top5: 0.4476 loss_action_cls: 0.0365 loss: 0.0365 2022/08/09 02:42:31 - mmengine - INFO - Epoch(train) [10][1300/2881] lr: 1.0000e-01 eta: 5:36:19 time: 0.6321 data_time: 0.0223 memory: 13802 grad_norm: 0.1573 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.8222 recall@top3: 0.8556 prec@top3: 0.6667 recall@top5: 0.9222 prec@top5: 0.4467 loss_action_cls: 0.0371 loss: 0.0371 2022/08/09 02:42:43 - mmengine - INFO - Epoch(train) [10][1320/2881] lr: 1.0000e-01 eta: 5:36:05 time: 0.6310 data_time: 0.0215 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.7972 recall@top3: 0.9111 prec@top3: 0.6889 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 02:42:56 - mmengine - INFO - Epoch(train) [10][1340/2881] lr: 1.0000e-01 eta: 5:35:51 time: 0.6314 data_time: 0.0211 memory: 13802 grad_norm: 0.1674 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.7971 recall@top3: 0.7246 prec@top3: 0.6812 recall@top5: 0.8768 prec@top5: 0.5130 loss_action_cls: 0.0370 loss: 0.0370 2022/08/09 02:43:08 - mmengine - INFO - Epoch(train) [10][1360/2881] lr: 1.0000e-01 eta: 5:35:36 time: 0.6051 data_time: 0.0205 memory: 13802 grad_norm: 0.1620 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.5238 recall@top3: 0.8571 prec@top3: 0.5476 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 02:43:21 - mmengine - INFO - Epoch(train) [10][1380/2881] lr: 1.0000e-01 eta: 5:35:22 time: 0.6256 data_time: 0.0216 memory: 13802 grad_norm: 0.1719 recall@thr=0.5: 0.6280 prec@thr=0.5: 0.7173 recall@top3: 0.8750 prec@top3: 0.6548 recall@top5: 0.9583 prec@top5: 0.4357 loss_action_cls: 0.0398 loss: 0.0398 2022/08/09 02:43:34 - mmengine - INFO - Epoch(train) [10][1400/2881] lr: 1.0000e-01 eta: 5:35:08 time: 0.6485 data_time: 0.0218 memory: 13802 grad_norm: 0.1543 recall@thr=0.5: 0.8968 prec@thr=0.5: 0.8175 recall@top3: 0.8651 prec@top3: 0.6032 recall@top5: 1.0000 prec@top5: 0.4476 loss_action_cls: 0.0378 loss: 0.0378 2022/08/09 02:43:46 - mmengine - INFO - Epoch(train) [10][1420/2881] lr: 1.0000e-01 eta: 5:34:54 time: 0.6284 data_time: 0.0223 memory: 13802 grad_norm: 0.1577 recall@thr=0.5: 0.8793 prec@thr=0.5: 0.8161 recall@top3: 0.8908 prec@top3: 0.6897 recall@top5: 0.9540 prec@top5: 0.4483 loss_action_cls: 0.0354 loss: 0.0354 2022/08/09 02:43:59 - mmengine - INFO - Epoch(train) [10][1440/2881] lr: 1.0000e-01 eta: 5:34:40 time: 0.6329 data_time: 0.0213 memory: 13802 grad_norm: 0.1663 recall@thr=0.5: 0.6133 prec@thr=0.5: 0.8333 recall@top3: 0.7167 prec@top3: 0.6400 recall@top5: 0.8167 prec@top5: 0.4480 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 02:44:12 - mmengine - INFO - Epoch(train) [10][1460/2881] lr: 1.0000e-01 eta: 5:34:26 time: 0.6359 data_time: 0.0231 memory: 13802 grad_norm: 0.1639 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8205 recall@top3: 0.8462 prec@top3: 0.5641 recall@top5: 0.9423 prec@top5: 0.3846 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 02:44:24 - mmengine - INFO - Epoch(train) [10][1480/2881] lr: 1.0000e-01 eta: 5:34:12 time: 0.6312 data_time: 0.0230 memory: 13802 grad_norm: 0.1751 recall@thr=0.5: 0.7217 prec@thr=0.5: 0.6304 recall@top3: 0.7797 prec@top3: 0.6957 recall@top5: 0.9130 prec@top5: 0.4957 loss_action_cls: 0.0362 loss: 0.0362 2022/08/09 02:44:37 - mmengine - INFO - Epoch(train) [10][1500/2881] lr: 1.0000e-01 eta: 5:33:59 time: 0.6495 data_time: 0.0197 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8686 recall@top3: 0.8397 prec@top3: 0.8846 recall@top5: 0.8974 prec@top5: 0.5692 loss_action_cls: 0.0359 loss: 0.0359 2022/08/09 02:44:50 - mmengine - INFO - Epoch(train) [10][1520/2881] lr: 1.0000e-01 eta: 5:33:45 time: 0.6248 data_time: 0.0228 memory: 13802 grad_norm: 0.1698 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.8406 recall@top3: 0.8478 prec@top3: 0.6232 recall@top5: 0.9638 prec@top5: 0.4435 loss_action_cls: 0.0358 loss: 0.0358 2022/08/09 02:45:02 - mmengine - INFO - Epoch(train) [10][1540/2881] lr: 1.0000e-01 eta: 5:33:31 time: 0.6370 data_time: 0.0248 memory: 13802 grad_norm: 0.1797 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.9077 recall@top3: 0.9702 prec@top3: 0.8214 recall@top5: 0.9821 prec@top5: 0.5000 loss_action_cls: 0.0389 loss: 0.0389 2022/08/09 02:45:15 - mmengine - INFO - Epoch(train) [10][1560/2881] lr: 1.0000e-01 eta: 5:33:17 time: 0.6470 data_time: 0.0258 memory: 13802 grad_norm: 0.1635 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.6078 recall@top3: 0.7255 prec@top3: 0.4902 recall@top5: 0.9020 prec@top5: 0.3882 loss_action_cls: 0.0428 loss: 0.0428 2022/08/09 02:45:28 - mmengine - INFO - Epoch(train) [10][1580/2881] lr: 1.0000e-01 eta: 5:33:03 time: 0.6227 data_time: 0.0237 memory: 13802 grad_norm: 0.1655 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.8913 recall@top3: 0.7935 prec@top3: 0.7971 recall@top5: 0.9783 prec@top5: 0.6087 loss_action_cls: 0.0324 loss: 0.0324 2022/08/09 02:45:40 - mmengine - INFO - Epoch(train) [10][1600/2881] lr: 1.0000e-01 eta: 5:32:49 time: 0.6326 data_time: 0.0232 memory: 13802 grad_norm: 0.1643 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7121 recall@top3: 0.7284 prec@top3: 0.6212 recall@top5: 0.9174 prec@top5: 0.4727 loss_action_cls: 0.0371 loss: 0.0371 2022/08/09 02:45:53 - mmengine - INFO - Epoch(train) [10][1620/2881] lr: 1.0000e-01 eta: 5:32:35 time: 0.6344 data_time: 0.0221 memory: 13802 grad_norm: 0.1662 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7598 recall@top3: 0.7990 prec@top3: 0.6863 recall@top5: 0.9559 prec@top5: 0.4941 loss_action_cls: 0.0400 loss: 0.0400 2022/08/09 02:46:06 - mmengine - INFO - Epoch(train) [10][1640/2881] lr: 1.0000e-01 eta: 5:32:21 time: 0.6316 data_time: 0.0251 memory: 13802 grad_norm: 0.1613 recall@thr=0.5: 0.7809 prec@thr=0.5: 0.8704 recall@top3: 0.8796 prec@top3: 0.6667 recall@top5: 0.9568 prec@top5: 0.4444 loss_action_cls: 0.0373 loss: 0.0373 2022/08/09 02:46:18 - mmengine - INFO - Epoch(train) [10][1660/2881] lr: 1.0000e-01 eta: 5:32:07 time: 0.6178 data_time: 0.0217 memory: 13802 grad_norm: 0.1621 recall@thr=0.5: 0.6278 prec@thr=0.5: 0.8111 recall@top3: 0.7778 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.3733 loss_action_cls: 0.0395 loss: 0.0395 2022/08/09 02:46:31 - mmengine - INFO - Epoch(train) [10][1680/2881] lr: 1.0000e-01 eta: 5:31:53 time: 0.6240 data_time: 0.0237 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.8596 recall@top3: 0.9386 prec@top3: 0.5789 recall@top5: 0.9868 prec@top5: 0.3789 loss_action_cls: 0.0364 loss: 0.0364 2022/08/09 02:46:43 - mmengine - INFO - Epoch(train) [10][1700/2881] lr: 1.0000e-01 eta: 5:31:39 time: 0.6423 data_time: 0.0225 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.7741 prec@thr=0.5: 0.8704 recall@top3: 0.8444 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0366 loss: 0.0366 2022/08/09 02:46:56 - mmengine - INFO - Epoch(train) [10][1720/2881] lr: 1.0000e-01 eta: 5:31:25 time: 0.6317 data_time: 0.0220 memory: 13802 grad_norm: 0.1592 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7490 recall@top3: 0.6719 prec@top3: 0.6771 recall@top5: 0.8542 prec@top5: 0.5375 loss_action_cls: 0.0350 loss: 0.0350 2022/08/09 02:47:08 - mmengine - INFO - Epoch(train) [10][1740/2881] lr: 1.0000e-01 eta: 5:31:10 time: 0.6058 data_time: 0.0231 memory: 13802 grad_norm: 0.1607 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8039 recall@top3: 0.9461 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4118 loss_action_cls: 0.0343 loss: 0.0343 2022/08/09 02:47:21 - mmengine - INFO - Epoch(train) [10][1760/2881] lr: 1.0000e-01 eta: 5:30:57 time: 0.6379 data_time: 0.0223 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5312 recall@top3: 0.7812 prec@top3: 0.5208 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0367 loss: 0.0367 2022/08/09 02:47:34 - mmengine - INFO - Epoch(train) [10][1780/2881] lr: 1.0000e-01 eta: 5:30:43 time: 0.6287 data_time: 0.0239 memory: 13802 grad_norm: 0.1635 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.8006 recall@top3: 0.8244 prec@top3: 0.7976 recall@top5: 0.9524 prec@top5: 0.5571 loss_action_cls: 0.0389 loss: 0.0389 2022/08/09 02:47:46 - mmengine - INFO - Epoch(train) [10][1800/2881] lr: 1.0000e-01 eta: 5:30:28 time: 0.6152 data_time: 0.0216 memory: 13802 grad_norm: 0.1562 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7500 recall@top3: 0.7417 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 02:47:58 - mmengine - INFO - Epoch(train) [10][1820/2881] lr: 1.0000e-01 eta: 5:30:14 time: 0.6307 data_time: 0.0232 memory: 13802 grad_norm: 0.1680 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.6867 recall@top3: 0.8389 prec@top3: 0.6111 recall@top5: 0.9111 prec@top5: 0.4133 loss_action_cls: 0.0384 loss: 0.0384 2022/08/09 02:48:11 - mmengine - INFO - Epoch(train) [10][1840/2881] lr: 1.0000e-01 eta: 5:30:00 time: 0.6128 data_time: 0.0262 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.8457 prec@thr=0.5: 0.8272 recall@top3: 0.8827 prec@top3: 0.6790 recall@top5: 0.9815 prec@top5: 0.4667 loss_action_cls: 0.0364 loss: 0.0364 2022/08/09 02:48:24 - mmengine - INFO - Epoch(train) [10][1860/2881] lr: 1.0000e-01 eta: 5:29:46 time: 0.6450 data_time: 0.0223 memory: 13802 grad_norm: 0.1564 recall@thr=0.5: 0.6869 prec@thr=0.5: 0.6970 recall@top3: 0.7374 prec@top3: 0.6667 recall@top5: 0.8611 prec@top5: 0.4788 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 02:48:36 - mmengine - INFO - Epoch(train) [10][1880/2881] lr: 1.0000e-01 eta: 5:29:32 time: 0.6302 data_time: 0.0222 memory: 13802 grad_norm: 0.1618 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.6373 recall@top3: 0.8627 prec@top3: 0.5490 recall@top5: 0.9804 prec@top5: 0.3765 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 02:48:48 - mmengine - INFO - Epoch(train) [10][1900/2881] lr: 1.0000e-01 eta: 5:29:18 time: 0.6077 data_time: 0.0222 memory: 13802 grad_norm: 0.1601 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8137 recall@top3: 0.9510 prec@top3: 0.8235 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0336 loss: 0.0336 2022/08/09 02:49:01 - mmengine - INFO - Epoch(train) [10][1920/2881] lr: 1.0000e-01 eta: 5:29:04 time: 0.6318 data_time: 0.0205 memory: 13802 grad_norm: 0.1635 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.7807 recall@top3: 0.8633 prec@top3: 0.7200 recall@top5: 0.9400 prec@top5: 0.4800 loss_action_cls: 0.0389 loss: 0.0389 2022/08/09 02:49:14 - mmengine - INFO - Epoch(train) [10][1940/2881] lr: 1.0000e-01 eta: 5:28:50 time: 0.6347 data_time: 0.0228 memory: 13802 grad_norm: 0.1627 recall@thr=0.5: 0.8201 prec@thr=0.5: 0.9097 recall@top3: 0.8931 prec@top3: 0.7361 recall@top5: 0.9896 prec@top5: 0.5167 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 02:49:26 - mmengine - INFO - Epoch(train) [10][1960/2881] lr: 1.0000e-01 eta: 5:28:36 time: 0.6089 data_time: 0.0213 memory: 13802 grad_norm: 0.1625 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7778 recall@top3: 0.7743 prec@top3: 0.6250 recall@top5: 0.8646 prec@top5: 0.4250 loss_action_cls: 0.0342 loss: 0.0342 2022/08/09 02:49:39 - mmengine - INFO - Epoch(train) [10][1980/2881] lr: 1.0000e-01 eta: 5:28:22 time: 0.6424 data_time: 0.0209 memory: 13802 grad_norm: 0.1648 recall@thr=0.5: 0.7538 prec@thr=0.5: 0.9355 recall@top3: 0.8801 prec@top3: 0.8172 recall@top5: 0.9710 prec@top5: 0.5484 loss_action_cls: 0.0358 loss: 0.0358 2022/08/09 02:49:51 - mmengine - INFO - Epoch(train) [10][2000/2881] lr: 1.0000e-01 eta: 5:28:08 time: 0.6327 data_time: 0.0203 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.7867 prec@thr=0.5: 0.8833 recall@top3: 0.8767 prec@top3: 0.7500 recall@top5: 0.9383 prec@top5: 0.5000 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 02:50:04 - mmengine - INFO - Epoch(train) [10][2020/2881] lr: 1.0000e-01 eta: 5:27:54 time: 0.6406 data_time: 0.0240 memory: 13802 grad_norm: 0.1594 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.7754 recall@top3: 0.8188 prec@top3: 0.5942 recall@top5: 0.9130 prec@top5: 0.4087 loss_action_cls: 0.0372 loss: 0.0372 2022/08/09 02:50:16 - mmengine - INFO - Epoch(train) [10][2040/2881] lr: 1.0000e-01 eta: 5:27:40 time: 0.6080 data_time: 0.0210 memory: 13802 grad_norm: 0.1588 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8155 recall@top3: 0.7589 prec@top3: 0.6310 recall@top5: 0.9375 prec@top5: 0.4929 loss_action_cls: 0.0399 loss: 0.0399 2022/08/09 02:50:29 - mmengine - INFO - Epoch(train) [10][2060/2881] lr: 1.0000e-01 eta: 5:27:26 time: 0.6365 data_time: 0.0209 memory: 13802 grad_norm: 0.1578 recall@thr=0.5: 0.7900 prec@thr=0.5: 0.9367 recall@top3: 0.9567 prec@top3: 0.8133 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0383 loss: 0.0383 2022/08/09 02:50:36 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 02:50:42 - mmengine - INFO - Epoch(train) [10][2080/2881] lr: 1.0000e-01 eta: 5:27:12 time: 0.6364 data_time: 0.0223 memory: 13802 grad_norm: 0.1631 recall@thr=0.5: 0.6254 prec@thr=0.5: 0.7548 recall@top3: 0.8317 prec@top3: 0.6667 recall@top5: 0.9810 prec@top5: 0.4952 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 02:50:55 - mmengine - INFO - Epoch(train) [10][2100/2881] lr: 1.0000e-01 eta: 5:26:58 time: 0.6349 data_time: 0.0225 memory: 13802 grad_norm: 0.1747 recall@thr=0.5: 0.8440 prec@thr=0.5: 0.8333 recall@top3: 0.8447 prec@top3: 0.6933 recall@top5: 0.9733 prec@top5: 0.4960 loss_action_cls: 0.0373 loss: 0.0373 2022/08/09 02:51:07 - mmengine - INFO - Epoch(train) [10][2120/2881] lr: 1.0000e-01 eta: 5:26:44 time: 0.6099 data_time: 0.0211 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.7105 recall@top3: 0.7544 prec@top3: 0.6140 recall@top5: 0.9123 prec@top5: 0.4632 loss_action_cls: 0.0432 loss: 0.0432 2022/08/09 02:51:20 - mmengine - INFO - Epoch(train) [10][2140/2881] lr: 1.0000e-01 eta: 5:26:30 time: 0.6387 data_time: 0.0232 memory: 13802 grad_norm: 0.1608 recall@thr=0.5: 0.7850 prec@thr=0.5: 0.9375 recall@top3: 0.8100 prec@top3: 0.7667 recall@top5: 0.9467 prec@top5: 0.5500 loss_action_cls: 0.0366 loss: 0.0366 2022/08/09 02:51:32 - mmengine - INFO - Epoch(train) [10][2160/2881] lr: 1.0000e-01 eta: 5:26:16 time: 0.6398 data_time: 0.0208 memory: 13802 grad_norm: 0.1588 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.8667 recall@top3: 0.9222 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0413 loss: 0.0413 2022/08/09 02:51:44 - mmengine - INFO - Epoch(train) [10][2180/2881] lr: 1.0000e-01 eta: 5:26:02 time: 0.6059 data_time: 0.0228 memory: 13802 grad_norm: 0.1565 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9386 recall@top3: 0.9474 prec@top3: 0.5263 recall@top5: 0.9737 prec@top5: 0.3263 loss_action_cls: 0.0365 loss: 0.0365 2022/08/09 02:51:57 - mmengine - INFO - Epoch(train) [10][2200/2881] lr: 1.0000e-01 eta: 5:25:48 time: 0.6391 data_time: 0.0210 memory: 13802 grad_norm: 0.1573 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9127 recall@top3: 0.9365 prec@top3: 0.7302 recall@top5: 0.9841 prec@top5: 0.4667 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 02:52:09 - mmengine - INFO - Epoch(train) [10][2220/2881] lr: 1.0000e-01 eta: 5:25:34 time: 0.6083 data_time: 0.0229 memory: 13802 grad_norm: 0.1616 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.7765 recall@top3: 0.8091 prec@top3: 0.6364 recall@top5: 0.9136 prec@top5: 0.4455 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 02:52:22 - mmengine - INFO - Epoch(train) [10][2240/2881] lr: 1.0000e-01 eta: 5:25:20 time: 0.6319 data_time: 0.0208 memory: 13802 grad_norm: 0.1688 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.7958 recall@top3: 0.8021 prec@top3: 0.6806 recall@top5: 0.9271 prec@top5: 0.4750 loss_action_cls: 0.0339 loss: 0.0339 2022/08/09 02:52:34 - mmengine - INFO - Epoch(train) [10][2260/2881] lr: 1.0000e-01 eta: 5:25:06 time: 0.6102 data_time: 0.0230 memory: 13802 grad_norm: 0.1670 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9514 recall@top3: 0.7986 prec@top3: 0.8750 recall@top5: 0.9549 prec@top5: 0.6333 loss_action_cls: 0.0402 loss: 0.0402 2022/08/09 02:52:47 - mmengine - INFO - Epoch(train) [10][2280/2881] lr: 1.0000e-01 eta: 5:24:52 time: 0.6323 data_time: 0.0234 memory: 13802 grad_norm: 0.1521 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.8696 recall@top3: 0.7391 prec@top3: 0.6667 recall@top5: 0.8623 prec@top5: 0.4783 loss_action_cls: 0.0369 loss: 0.0369 2022/08/09 02:52:59 - mmengine - INFO - Epoch(train) [10][2300/2881] lr: 1.0000e-01 eta: 5:24:37 time: 0.6025 data_time: 0.0217 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.8327 prec@thr=0.5: 0.7858 recall@top3: 0.8278 prec@top3: 0.7407 recall@top5: 0.9389 prec@top5: 0.5333 loss_action_cls: 0.0406 loss: 0.0406 2022/08/09 02:53:12 - mmengine - INFO - Epoch(train) [10][2320/2881] lr: 1.0000e-01 eta: 5:24:23 time: 0.6294 data_time: 0.0199 memory: 13802 grad_norm: 0.1662 recall@thr=0.5: 0.6703 prec@thr=0.5: 0.6087 recall@top3: 0.6739 prec@top3: 0.5797 recall@top5: 0.8587 prec@top5: 0.4435 loss_action_cls: 0.0393 loss: 0.0393 2022/08/09 02:53:24 - mmengine - INFO - Epoch(train) [10][2340/2881] lr: 1.0000e-01 eta: 5:24:09 time: 0.6325 data_time: 0.0247 memory: 13802 grad_norm: 0.1645 recall@thr=0.5: 0.8009 prec@thr=0.5: 0.8750 recall@top3: 0.8611 prec@top3: 0.6852 recall@top5: 0.9676 prec@top5: 0.4667 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 02:53:36 - mmengine - INFO - Epoch(train) [10][2360/2881] lr: 1.0000e-01 eta: 5:23:55 time: 0.6071 data_time: 0.0210 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.5688 prec@thr=0.5: 0.5942 recall@top3: 0.7065 prec@top3: 0.4638 recall@top5: 0.8913 prec@top5: 0.3304 loss_action_cls: 0.0383 loss: 0.0383 2022/08/09 02:53:49 - mmengine - INFO - Epoch(train) [10][2380/2881] lr: 1.0000e-01 eta: 5:23:41 time: 0.6269 data_time: 0.0216 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.6847 recall@top3: 0.7236 prec@top3: 0.7222 recall@top5: 0.8722 prec@top5: 0.5333 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:54:01 - mmengine - INFO - Epoch(train) [10][2400/2881] lr: 1.0000e-01 eta: 5:23:27 time: 0.6051 data_time: 0.0220 memory: 13802 grad_norm: 0.1733 recall@thr=0.5: 0.6928 prec@thr=0.5: 0.6594 recall@top3: 0.7406 prec@top3: 0.5652 recall@top5: 0.8623 prec@top5: 0.4174 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:54:14 - mmengine - INFO - Epoch(train) [10][2420/2881] lr: 1.0000e-01 eta: 5:23:13 time: 0.6285 data_time: 0.0223 memory: 13802 grad_norm: 0.1642 recall@thr=0.5: 0.7600 prec@thr=0.5: 0.7067 recall@top3: 0.8900 prec@top3: 0.6133 recall@top5: 0.9300 prec@top5: 0.3840 loss_action_cls: 0.0391 loss: 0.0391 2022/08/09 02:54:26 - mmengine - INFO - Epoch(train) [10][2440/2881] lr: 1.0000e-01 eta: 5:22:59 time: 0.6303 data_time: 0.0227 memory: 13802 grad_norm: 0.1651 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9375 recall@top3: 0.9375 prec@top3: 0.5417 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0355 loss: 0.0355 2022/08/09 02:54:39 - mmengine - INFO - Epoch(train) [10][2460/2881] lr: 1.0000e-01 eta: 5:22:45 time: 0.6252 data_time: 0.0215 memory: 13802 grad_norm: 0.1599 recall@thr=0.5: 0.5102 prec@thr=0.5: 0.7258 recall@top3: 0.7457 prec@top3: 0.7097 recall@top5: 0.9570 prec@top5: 0.5548 loss_action_cls: 0.0409 loss: 0.0409 2022/08/09 02:54:51 - mmengine - INFO - Epoch(train) [10][2480/2881] lr: 1.0000e-01 eta: 5:22:30 time: 0.6068 data_time: 0.0228 memory: 13802 grad_norm: 0.1606 recall@thr=0.5: 0.7242 prec@thr=0.5: 0.8636 recall@top3: 0.8313 prec@top3: 0.7980 recall@top5: 0.9207 prec@top5: 0.5515 loss_action_cls: 0.0363 loss: 0.0363 2022/08/09 02:55:04 - mmengine - INFO - Epoch(train) [10][2500/2881] lr: 1.0000e-01 eta: 5:22:17 time: 0.6581 data_time: 0.0231 memory: 13802 grad_norm: 0.1675 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.8194 recall@top3: 0.8472 prec@top3: 0.6528 recall@top5: 0.9444 prec@top5: 0.4500 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 02:55:17 - mmengine - INFO - Epoch(train) [10][2520/2881] lr: 1.0000e-01 eta: 5:22:03 time: 0.6336 data_time: 0.0225 memory: 13802 grad_norm: 0.1652 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.9167 recall@top3: 0.8596 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4632 loss_action_cls: 0.0350 loss: 0.0350 2022/08/09 02:55:29 - mmengine - INFO - Epoch(train) [10][2540/2881] lr: 1.0000e-01 eta: 5:21:49 time: 0.6106 data_time: 0.0229 memory: 13802 grad_norm: 0.1612 recall@thr=0.5: 0.7283 prec@thr=0.5: 0.7754 recall@top3: 0.8638 prec@top3: 0.6667 recall@top5: 0.9674 prec@top5: 0.4783 loss_action_cls: 0.0389 loss: 0.0389 2022/08/09 02:55:41 - mmengine - INFO - Epoch(train) [10][2560/2881] lr: 1.0000e-01 eta: 5:21:35 time: 0.6307 data_time: 0.0221 memory: 13802 grad_norm: 0.1559 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6875 recall@top3: 0.6875 prec@top3: 0.5833 recall@top5: 0.8438 prec@top5: 0.4375 loss_action_cls: 0.0362 loss: 0.0362 2022/08/09 02:55:54 - mmengine - INFO - Epoch(train) [10][2580/2881] lr: 1.0000e-01 eta: 5:21:21 time: 0.6214 data_time: 0.0221 memory: 13802 grad_norm: 0.1557 recall@thr=0.5: 0.7637 prec@thr=0.5: 0.9286 recall@top3: 0.8726 prec@top3: 0.8333 recall@top5: 0.9661 prec@top5: 0.5571 loss_action_cls: 0.0361 loss: 0.0361 2022/08/09 02:56:06 - mmengine - INFO - Epoch(train) [10][2600/2881] lr: 1.0000e-01 eta: 5:21:07 time: 0.6239 data_time: 0.0238 memory: 13802 grad_norm: 0.1551 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.8229 recall@top3: 0.8260 prec@top3: 0.7187 recall@top5: 0.9521 prec@top5: 0.5187 loss_action_cls: 0.0376 loss: 0.0376 2022/08/09 02:56:18 - mmengine - INFO - Epoch(train) [10][2620/2881] lr: 1.0000e-01 eta: 5:20:52 time: 0.6025 data_time: 0.0221 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.7462 prec@thr=0.5: 0.8030 recall@top3: 0.8068 prec@top3: 0.6970 recall@top5: 0.9091 prec@top5: 0.4818 loss_action_cls: 0.0368 loss: 0.0368 2022/08/09 02:56:31 - mmengine - INFO - Epoch(train) [10][2640/2881] lr: 1.0000e-01 eta: 5:20:39 time: 0.6491 data_time: 0.0266 memory: 13802 grad_norm: 0.1618 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7533 recall@top3: 0.8533 prec@top3: 0.6933 recall@top5: 0.9733 prec@top5: 0.4640 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 02:56:44 - mmengine - INFO - Epoch(train) [10][2660/2881] lr: 1.0000e-01 eta: 5:20:25 time: 0.6381 data_time: 0.0224 memory: 13802 grad_norm: 0.1600 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8056 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.4444 loss_action_cls: 0.0353 loss: 0.0353 2022/08/09 02:56:56 - mmengine - INFO - Epoch(train) [10][2680/2881] lr: 1.0000e-01 eta: 5:20:11 time: 0.6101 data_time: 0.0221 memory: 13802 grad_norm: 0.1569 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8030 recall@top3: 0.8939 prec@top3: 0.5303 recall@top5: 0.9545 prec@top5: 0.3364 loss_action_cls: 0.0349 loss: 0.0349 2022/08/09 02:57:09 - mmengine - INFO - Epoch(train) [10][2700/2881] lr: 1.0000e-01 eta: 5:19:57 time: 0.6296 data_time: 0.0214 memory: 13802 grad_norm: 0.1539 recall@thr=0.5: 0.8100 prec@thr=0.5: 0.8900 recall@top3: 0.8767 prec@top3: 0.7467 recall@top5: 0.9633 prec@top5: 0.5120 loss_action_cls: 0.0346 loss: 0.0346 2022/08/09 02:57:22 - mmengine - INFO - Epoch(train) [10][2720/2881] lr: 1.0000e-01 eta: 5:19:43 time: 0.6305 data_time: 0.0230 memory: 13802 grad_norm: 0.1666 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.8056 recall@top3: 0.8009 prec@top3: 0.5741 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0367 loss: 0.0367 2022/08/09 02:57:34 - mmengine - INFO - Epoch(train) [10][2740/2881] lr: 1.0000e-01 eta: 5:19:29 time: 0.6309 data_time: 0.0231 memory: 13802 grad_norm: 0.1601 recall@thr=0.5: 0.8910 prec@thr=0.5: 0.8333 recall@top3: 0.9359 prec@top3: 0.7308 recall@top5: 1.0000 prec@top5: 0.4846 loss_action_cls: 0.0349 loss: 0.0349 2022/08/09 02:57:46 - mmengine - INFO - Epoch(train) [10][2760/2881] lr: 1.0000e-01 eta: 5:19:15 time: 0.6120 data_time: 0.0220 memory: 13802 grad_norm: 0.1522 recall@thr=0.5: 0.9518 prec@thr=0.5: 0.9167 recall@top3: 0.9561 prec@top3: 0.5439 recall@top5: 1.0000 prec@top5: 0.3579 loss_action_cls: 0.0403 loss: 0.0403 2022/08/09 02:57:59 - mmengine - INFO - Epoch(train) [10][2780/2881] lr: 1.0000e-01 eta: 5:19:01 time: 0.6303 data_time: 0.0257 memory: 13802 grad_norm: 0.1590 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7769 recall@top3: 0.8925 prec@top3: 0.6559 recall@top5: 0.9677 prec@top5: 0.4387 loss_action_cls: 0.0400 loss: 0.0400 2022/08/09 02:58:11 - mmengine - INFO - Epoch(train) [10][2800/2881] lr: 1.0000e-01 eta: 5:18:47 time: 0.6027 data_time: 0.0202 memory: 13802 grad_norm: 0.1615 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.7150 recall@top3: 0.7917 prec@top3: 0.6333 recall@top5: 0.9458 prec@top5: 0.4800 loss_action_cls: 0.0387 loss: 0.0387 2022/08/09 02:58:24 - mmengine - INFO - Epoch(train) [10][2820/2881] lr: 1.0000e-01 eta: 5:18:33 time: 0.6378 data_time: 0.0232 memory: 13802 grad_norm: 0.1595 recall@thr=0.5: 0.7852 prec@thr=0.5: 0.9105 recall@top3: 0.8531 prec@top3: 0.7160 recall@top5: 0.9728 prec@top5: 0.5111 loss_action_cls: 0.0430 loss: 0.0430 2022/08/09 02:58:37 - mmengine - INFO - Epoch(train) [10][2840/2881] lr: 1.0000e-01 eta: 5:18:19 time: 0.6499 data_time: 0.0232 memory: 13802 grad_norm: 0.1589 recall@thr=0.5: 0.7019 prec@thr=0.5: 0.8173 recall@top3: 0.8205 prec@top3: 0.7308 recall@top5: 0.9391 prec@top5: 0.5000 loss_action_cls: 0.0363 loss: 0.0363 2022/08/09 02:58:49 - mmengine - INFO - Epoch(train) [10][2860/2881] lr: 1.0000e-01 eta: 5:18:05 time: 0.6270 data_time: 0.0256 memory: 13802 grad_norm: 0.1622 recall@thr=0.5: 0.7088 prec@thr=0.5: 0.9167 recall@top3: 0.8211 prec@top3: 0.7018 recall@top5: 0.8737 prec@top5: 0.4737 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 02:59:02 - mmengine - INFO - Epoch(train) [10][2880/2881] lr: 1.0000e-01 eta: 5:17:51 time: 0.6095 data_time: 0.0200 memory: 13802 grad_norm: 0.1718 recall@thr=0.5: 0.7588 prec@thr=0.5: 0.7588 recall@top3: 0.8246 prec@top3: 0.6491 recall@top5: 0.9123 prec@top5: 0.4421 loss_action_cls: 0.0385 loss: 0.0385 2022/08/09 02:59:03 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 02:59:03 - mmengine - INFO - Epoch(train) [10][2881/2881] lr: 1.0000e-01 eta: 5:17:51 time: 0.6408 data_time: 0.0209 memory: 13802 grad_norm: 0.1728 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.8551 recall@top3: 0.8696 prec@top3: 0.6957 recall@top5: 1.0000 prec@top5: 0.4957 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 02:59:03 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/09 02:59:10 - mmengine - INFO - Epoch(val) [10][20/6282] eta: 0:07:40 time: 0.0736 data_time: 0.0260 memory: 721 2022/08/09 02:59:11 - mmengine - INFO - Epoch(val) [10][40/6282] eta: 0:05:03 time: 0.0486 data_time: 0.0034 memory: 721 2022/08/09 02:59:12 - mmengine - INFO - Epoch(val) [10][60/6282] eta: 0:05:11 time: 0.0500 data_time: 0.0047 memory: 721 2022/08/09 02:59:13 - mmengine - INFO - Epoch(val) [10][80/6282] eta: 0:05:26 time: 0.0526 data_time: 0.0058 memory: 721 2022/08/09 02:59:14 - mmengine - INFO - Epoch(val) [10][100/6282] eta: 0:05:06 time: 0.0496 data_time: 0.0036 memory: 721 2022/08/09 02:59:15 - mmengine - INFO - Epoch(val) [10][120/6282] eta: 0:06:13 time: 0.0606 data_time: 0.0046 memory: 806 2022/08/09 02:59:17 - mmengine - INFO - Epoch(val) [10][140/6282] eta: 0:07:01 time: 0.0686 data_time: 0.0055 memory: 806 2022/08/09 02:59:18 - mmengine - INFO - Epoch(val) [10][160/6282] eta: 0:06:43 time: 0.0659 data_time: 0.0050 memory: 806 2022/08/09 02:59:19 - mmengine - INFO - Epoch(val) [10][180/6282] eta: 0:07:17 time: 0.0717 data_time: 0.0050 memory: 806 2022/08/09 02:59:21 - mmengine - INFO - Epoch(val) [10][200/6282] eta: 0:07:06 time: 0.0702 data_time: 0.0065 memory: 806 2022/08/09 02:59:22 - mmengine - INFO - Epoch(val) [10][220/6282] eta: 0:07:52 time: 0.0779 data_time: 0.0043 memory: 736 2022/08/09 02:59:24 - mmengine - INFO - Epoch(val) [10][240/6282] eta: 0:06:24 time: 0.0637 data_time: 0.0062 memory: 736 2022/08/09 02:59:25 - mmengine - INFO - Epoch(val) [10][260/6282] eta: 0:06:27 time: 0.0644 data_time: 0.0068 memory: 736 2022/08/09 02:59:26 - mmengine - INFO - Epoch(val) [10][280/6282] eta: 0:05:47 time: 0.0579 data_time: 0.0047 memory: 736 2022/08/09 02:59:27 - mmengine - INFO - Epoch(val) [10][300/6282] eta: 0:06:30 time: 0.0653 data_time: 0.0083 memory: 806 2022/08/09 02:59:29 - mmengine - INFO - Epoch(val) [10][320/6282] eta: 0:08:24 time: 0.0846 data_time: 0.0223 memory: 806 2022/08/09 02:59:31 - mmengine - INFO - Epoch(val) [10][340/6282] eta: 0:07:13 time: 0.0730 data_time: 0.0102 memory: 806 2022/08/09 02:59:32 - mmengine - INFO - Epoch(val) [10][360/6282] eta: 0:08:19 time: 0.0843 data_time: 0.0172 memory: 806 2022/08/09 02:59:34 - mmengine - INFO - Epoch(val) [10][380/6282] eta: 0:07:44 time: 0.0786 data_time: 0.0124 memory: 806 2022/08/09 02:59:35 - mmengine - INFO - Epoch(val) [10][400/6282] eta: 0:06:30 time: 0.0663 data_time: 0.0084 memory: 806 2022/08/09 02:59:36 - mmengine - INFO - Epoch(val) [10][420/6282] eta: 0:05:29 time: 0.0562 data_time: 0.0047 memory: 741 2022/08/09 02:59:38 - mmengine - INFO - Epoch(val) [10][440/6282] eta: 0:05:40 time: 0.0582 data_time: 0.0059 memory: 741 2022/08/09 02:59:39 - mmengine - INFO - Epoch(val) [10][460/6282] eta: 0:05:31 time: 0.0569 data_time: 0.0048 memory: 741 2022/08/09 02:59:40 - mmengine - INFO - Epoch(val) [10][480/6282] eta: 0:05:44 time: 0.0594 data_time: 0.0059 memory: 741 2022/08/09 02:59:41 - mmengine - INFO - Epoch(val) [10][500/6282] eta: 0:05:03 time: 0.0525 data_time: 0.0047 memory: 741 2022/08/09 02:59:43 - mmengine - INFO - Epoch(val) [10][520/6282] eta: 0:07:30 time: 0.0782 data_time: 0.0041 memory: 736 2022/08/09 02:59:44 - mmengine - INFO - Epoch(val) [10][540/6282] eta: 0:04:52 time: 0.0509 data_time: 0.0038 memory: 736 2022/08/09 02:59:45 - mmengine - INFO - Epoch(val) [10][560/6282] eta: 0:04:54 time: 0.0514 data_time: 0.0037 memory: 736 2022/08/09 02:59:46 - mmengine - INFO - Epoch(val) [10][580/6282] eta: 0:05:14 time: 0.0552 data_time: 0.0042 memory: 736 2022/08/09 02:59:47 - mmengine - INFO - Epoch(val) [10][600/6282] eta: 0:05:16 time: 0.0558 data_time: 0.0047 memory: 736 2022/08/09 02:59:48 - mmengine - INFO - Epoch(val) [10][620/6282] eta: 0:04:52 time: 0.0517 data_time: 0.0039 memory: 736 2022/08/09 02:59:49 - mmengine - INFO - Epoch(val) [10][640/6282] eta: 0:04:45 time: 0.0506 data_time: 0.0032 memory: 733 2022/08/09 02:59:50 - mmengine - INFO - Epoch(val) [10][660/6282] eta: 0:04:42 time: 0.0502 data_time: 0.0037 memory: 733 2022/08/09 02:59:51 - mmengine - INFO - Epoch(val) [10][680/6282] eta: 0:04:34 time: 0.0490 data_time: 0.0034 memory: 733 2022/08/09 02:59:52 - mmengine - INFO - Epoch(val) [10][700/6282] eta: 0:04:43 time: 0.0509 data_time: 0.0036 memory: 733 2022/08/09 02:59:55 - mmengine - INFO - Epoch(val) [10][720/6282] eta: 0:12:30 time: 0.1349 data_time: 0.0795 memory: 806 2022/08/09 02:59:58 - mmengine - INFO - Epoch(val) [10][740/6282] eta: 0:16:40 time: 0.1804 data_time: 0.1197 memory: 806 2022/08/09 03:00:01 - mmengine - INFO - Epoch(val) [10][760/6282] eta: 0:13:54 time: 0.1511 data_time: 0.0941 memory: 806 2022/08/09 03:00:05 - mmengine - INFO - Epoch(val) [10][780/6282] eta: 0:15:00 time: 0.1636 data_time: 0.1038 memory: 806 2022/08/09 03:00:07 - mmengine - INFO - Epoch(val) [10][800/6282] eta: 0:11:16 time: 0.1234 data_time: 0.0582 memory: 806 2022/08/09 03:00:09 - mmengine - INFO - Epoch(val) [10][820/6282] eta: 0:07:47 time: 0.0856 data_time: 0.0290 memory: 806 2022/08/09 03:00:10 - mmengine - INFO - Epoch(val) [10][840/6282] eta: 0:05:09 time: 0.0568 data_time: 0.0056 memory: 736 2022/08/09 03:00:11 - mmengine - INFO - Epoch(val) [10][860/6282] eta: 0:05:12 time: 0.0576 data_time: 0.0044 memory: 736 2022/08/09 03:00:13 - mmengine - INFO - Epoch(val) [10][880/6282] eta: 0:07:13 time: 0.0802 data_time: 0.0052 memory: 736 2022/08/09 03:00:14 - mmengine - INFO - Epoch(val) [10][900/6282] eta: 0:05:02 time: 0.0562 data_time: 0.0056 memory: 736 2022/08/09 03:00:15 - mmengine - INFO - Epoch(val) [10][920/6282] eta: 0:04:55 time: 0.0551 data_time: 0.0042 memory: 736 2022/08/09 03:00:16 - mmengine - INFO - Epoch(val) [10][940/6282] eta: 0:04:53 time: 0.0549 data_time: 0.0062 memory: 721 2022/08/09 03:00:17 - mmengine - INFO - Epoch(val) [10][960/6282] eta: 0:04:39 time: 0.0526 data_time: 0.0051 memory: 721 2022/08/09 03:00:18 - mmengine - INFO - Epoch(val) [10][980/6282] eta: 0:04:45 time: 0.0538 data_time: 0.0048 memory: 721 2022/08/09 03:00:19 - mmengine - INFO - Epoch(val) [10][1000/6282] eta: 0:04:54 time: 0.0557 data_time: 0.0057 memory: 721 2022/08/09 03:00:20 - mmengine - INFO - Epoch(val) [10][1020/6282] eta: 0:04:40 time: 0.0533 data_time: 0.0053 memory: 736 2022/08/09 03:00:22 - mmengine - INFO - Epoch(val) [10][1040/6282] eta: 0:04:58 time: 0.0570 data_time: 0.0057 memory: 736 2022/08/09 03:00:23 - mmengine - INFO - Epoch(val) [10][1060/6282] eta: 0:05:04 time: 0.0584 data_time: 0.0066 memory: 736 2022/08/09 03:00:24 - mmengine - INFO - Epoch(val) [10][1080/6282] eta: 0:05:02 time: 0.0581 data_time: 0.0046 memory: 736 2022/08/09 03:00:25 - mmengine - INFO - Epoch(val) [10][1100/6282] eta: 0:04:54 time: 0.0569 data_time: 0.0059 memory: 736 2022/08/09 03:00:26 - mmengine - INFO - Epoch(val) [10][1120/6282] eta: 0:04:56 time: 0.0575 data_time: 0.0045 memory: 736 2022/08/09 03:00:27 - mmengine - INFO - Epoch(val) [10][1140/6282] eta: 0:04:27 time: 0.0520 data_time: 0.0044 memory: 736 2022/08/09 03:00:28 - mmengine - INFO - Epoch(val) [10][1160/6282] eta: 0:04:14 time: 0.0497 data_time: 0.0038 memory: 736 2022/08/09 03:00:29 - mmengine - INFO - Epoch(val) [10][1180/6282] eta: 0:04:27 time: 0.0524 data_time: 0.0048 memory: 736 2022/08/09 03:00:30 - mmengine - INFO - Epoch(val) [10][1200/6282] eta: 0:04:30 time: 0.0532 data_time: 0.0059 memory: 736 2022/08/09 03:00:31 - mmengine - INFO - Epoch(val) [10][1220/6282] eta: 0:04:16 time: 0.0507 data_time: 0.0039 memory: 736 2022/08/09 03:00:35 - mmengine - INFO - Epoch(val) [10][1240/6282] eta: 0:14:48 time: 0.1762 data_time: 0.0929 memory: 806 2022/08/09 03:00:38 - mmengine - INFO - Epoch(val) [10][1260/6282] eta: 0:11:35 time: 0.1384 data_time: 0.0804 memory: 806 2022/08/09 03:00:41 - mmengine - INFO - Epoch(val) [10][1280/6282] eta: 0:14:36 time: 0.1753 data_time: 0.1175 memory: 806 2022/08/09 03:00:44 - mmengine - INFO - Epoch(val) [10][1300/6282] eta: 0:12:28 time: 0.1503 data_time: 0.0930 memory: 806 2022/08/09 03:00:48 - mmengine - INFO - Epoch(val) [10][1320/6282] eta: 0:14:45 time: 0.1785 data_time: 0.1181 memory: 806 2022/08/09 03:00:51 - mmengine - INFO - Epoch(val) [10][1340/6282] eta: 0:11:34 time: 0.1406 data_time: 0.0800 memory: 806 2022/08/09 03:00:55 - mmengine - INFO - Epoch(val) [10][1360/6282] eta: 0:16:01 time: 0.1954 data_time: 0.1307 memory: 806 2022/08/09 03:00:57 - mmengine - INFO - Epoch(val) [10][1380/6282] eta: 0:10:39 time: 0.1304 data_time: 0.0714 memory: 806 2022/08/09 03:01:00 - mmengine - INFO - Epoch(val) [10][1400/6282] eta: 0:11:55 time: 0.1466 data_time: 0.0901 memory: 806 2022/08/09 03:01:03 - mmengine - INFO - Epoch(val) [10][1420/6282] eta: 0:11:04 time: 0.1367 data_time: 0.0644 memory: 806 2022/08/09 03:01:04 - mmengine - INFO - Epoch(val) [10][1440/6282] eta: 0:05:12 time: 0.0645 data_time: 0.0046 memory: 806 2022/08/09 03:01:06 - mmengine - INFO - Epoch(val) [10][1460/6282] eta: 0:05:36 time: 0.0697 data_time: 0.0064 memory: 806 2022/08/09 03:01:07 - mmengine - INFO - Epoch(val) [10][1480/6282] eta: 0:05:31 time: 0.0691 data_time: 0.0065 memory: 806 2022/08/09 03:01:08 - mmengine - INFO - Epoch(val) [10][1500/6282] eta: 0:05:18 time: 0.0666 data_time: 0.0057 memory: 806 2022/08/09 03:01:10 - mmengine - INFO - Epoch(val) [10][1520/6282] eta: 0:05:15 time: 0.0663 data_time: 0.0057 memory: 909 2022/08/09 03:01:11 - mmengine - INFO - Epoch(val) [10][1540/6282] eta: 0:06:24 time: 0.0811 data_time: 0.0073 memory: 909 2022/08/09 03:01:13 - mmengine - INFO - Epoch(val) [10][1560/6282] eta: 0:06:15 time: 0.0795 data_time: 0.0069 memory: 909 2022/08/09 03:01:14 - mmengine - INFO - Epoch(val) [10][1580/6282] eta: 0:06:15 time: 0.0798 data_time: 0.0060 memory: 909 2022/08/09 03:01:17 - mmengine - INFO - Epoch(val) [10][1600/6282] eta: 0:08:01 time: 0.1027 data_time: 0.0051 memory: 909 2022/08/09 03:01:18 - mmengine - INFO - Epoch(val) [10][1620/6282] eta: 0:06:04 time: 0.0782 data_time: 0.0054 memory: 909 2022/08/09 03:01:19 - mmengine - INFO - Epoch(val) [10][1640/6282] eta: 0:05:00 time: 0.0647 data_time: 0.0048 memory: 806 2022/08/09 03:01:21 - mmengine - INFO - Epoch(val) [10][1660/6282] eta: 0:04:54 time: 0.0638 data_time: 0.0049 memory: 806 2022/08/09 03:01:22 - mmengine - INFO - Epoch(val) [10][1680/6282] eta: 0:04:29 time: 0.0585 data_time: 0.0043 memory: 806 2022/08/09 03:01:23 - mmengine - INFO - Epoch(val) [10][1700/6282] eta: 0:04:33 time: 0.0597 data_time: 0.0040 memory: 806 2022/08/09 03:01:24 - mmengine - INFO - Epoch(val) [10][1720/6282] eta: 0:04:26 time: 0.0585 data_time: 0.0040 memory: 806 2022/08/09 03:01:25 - mmengine - INFO - Epoch(val) [10][1740/6282] eta: 0:04:23 time: 0.0580 data_time: 0.0039 memory: 806 2022/08/09 03:01:27 - mmengine - INFO - Epoch(val) [10][1760/6282] eta: 0:04:56 time: 0.0656 data_time: 0.0057 memory: 806 2022/08/09 03:01:28 - mmengine - INFO - Epoch(val) [10][1780/6282] eta: 0:05:05 time: 0.0680 data_time: 0.0054 memory: 806 2022/08/09 03:01:29 - mmengine - INFO - Epoch(val) [10][1800/6282] eta: 0:04:41 time: 0.0628 data_time: 0.0045 memory: 806 2022/08/09 03:01:31 - mmengine - INFO - Epoch(val) [10][1820/6282] eta: 0:04:49 time: 0.0648 data_time: 0.0058 memory: 806 2022/08/09 03:01:33 - mmengine - INFO - Epoch(val) [10][1840/6282] eta: 0:08:11 time: 0.1106 data_time: 0.0223 memory: 806 2022/08/09 03:01:36 - mmengine - INFO - Epoch(val) [10][1860/6282] eta: 0:11:03 time: 0.1500 data_time: 0.0886 memory: 806 2022/08/09 03:01:39 - mmengine - INFO - Epoch(val) [10][1880/6282] eta: 0:10:41 time: 0.1457 data_time: 0.0858 memory: 806 2022/08/09 03:01:42 - mmengine - INFO - Epoch(val) [10][1900/6282] eta: 0:12:09 time: 0.1666 data_time: 0.1049 memory: 806 2022/08/09 03:01:45 - mmengine - INFO - Epoch(val) [10][1920/6282] eta: 0:08:52 time: 0.1222 data_time: 0.0577 memory: 806 2022/08/09 03:01:47 - mmengine - INFO - Epoch(val) [10][1940/6282] eta: 0:08:18 time: 0.1149 data_time: 0.0533 memory: 806 2022/08/09 03:01:48 - mmengine - INFO - Epoch(val) [10][1960/6282] eta: 0:04:10 time: 0.0579 data_time: 0.0042 memory: 741 2022/08/09 03:01:49 - mmengine - INFO - Epoch(val) [10][1980/6282] eta: 0:04:04 time: 0.0569 data_time: 0.0054 memory: 741 2022/08/09 03:01:50 - mmengine - INFO - Epoch(val) [10][2000/6282] eta: 0:04:00 time: 0.0561 data_time: 0.0053 memory: 741 2022/08/09 03:01:51 - mmengine - INFO - Epoch(val) [10][2020/6282] eta: 0:03:58 time: 0.0560 data_time: 0.0048 memory: 741 2022/08/09 03:01:53 - mmengine - INFO - Epoch(val) [10][2040/6282] eta: 0:05:40 time: 0.0803 data_time: 0.0045 memory: 741 2022/08/09 03:01:54 - mmengine - INFO - Epoch(val) [10][2060/6282] eta: 0:04:05 time: 0.0582 data_time: 0.0056 memory: 741 2022/08/09 03:01:55 - mmengine - INFO - Epoch(val) [10][2080/6282] eta: 0:03:54 time: 0.0558 data_time: 0.0055 memory: 741 2022/08/09 03:01:57 - mmengine - INFO - Epoch(val) [10][2100/6282] eta: 0:04:02 time: 0.0580 data_time: 0.0048 memory: 741 2022/08/09 03:01:58 - mmengine - INFO - Epoch(val) [10][2120/6282] eta: 0:03:51 time: 0.0556 data_time: 0.0051 memory: 741 2022/08/09 03:01:59 - mmengine - INFO - Epoch(val) [10][2140/6282] eta: 0:03:49 time: 0.0555 data_time: 0.0053 memory: 741 2022/08/09 03:02:00 - mmengine - INFO - Epoch(val) [10][2160/6282] eta: 0:03:48 time: 0.0555 data_time: 0.0057 memory: 736 2022/08/09 03:02:01 - mmengine - INFO - Epoch(val) [10][2180/6282] eta: 0:03:49 time: 0.0560 data_time: 0.0055 memory: 736 2022/08/09 03:02:02 - mmengine - INFO - Epoch(val) [10][2200/6282] eta: 0:03:59 time: 0.0588 data_time: 0.0047 memory: 736 2022/08/09 03:02:03 - mmengine - INFO - Epoch(val) [10][2220/6282] eta: 0:03:50 time: 0.0568 data_time: 0.0053 memory: 736 2022/08/09 03:02:05 - mmengine - INFO - Epoch(val) [10][2240/6282] eta: 0:03:51 time: 0.0572 data_time: 0.0064 memory: 736 2022/08/09 03:02:06 - mmengine - INFO - Epoch(val) [10][2260/6282] eta: 0:03:47 time: 0.0566 data_time: 0.0050 memory: 741 2022/08/09 03:02:07 - mmengine - INFO - Epoch(val) [10][2280/6282] eta: 0:03:41 time: 0.0553 data_time: 0.0040 memory: 741 2022/08/09 03:02:08 - mmengine - INFO - Epoch(val) [10][2300/6282] eta: 0:03:45 time: 0.0567 data_time: 0.0045 memory: 741 2022/08/09 03:02:09 - mmengine - INFO - Epoch(val) [10][2320/6282] eta: 0:03:42 time: 0.0562 data_time: 0.0051 memory: 741 2022/08/09 03:02:10 - mmengine - INFO - Epoch(val) [10][2340/6282] eta: 0:03:39 time: 0.0558 data_time: 0.0049 memory: 741 2022/08/09 03:02:11 - mmengine - INFO - Epoch(val) [10][2360/6282] eta: 0:04:01 time: 0.0617 data_time: 0.0082 memory: 736 2022/08/09 03:02:13 - mmengine - INFO - Epoch(val) [10][2380/6282] eta: 0:04:01 time: 0.0619 data_time: 0.0057 memory: 736 2022/08/09 03:02:14 - mmengine - INFO - Epoch(val) [10][2400/6282] eta: 0:03:56 time: 0.0610 data_time: 0.0077 memory: 736 2022/08/09 03:02:15 - mmengine - INFO - Epoch(val) [10][2420/6282] eta: 0:03:50 time: 0.0597 data_time: 0.0056 memory: 736 2022/08/09 03:02:16 - mmengine - INFO - Epoch(val) [10][2440/6282] eta: 0:03:57 time: 0.0617 data_time: 0.0068 memory: 736 2022/08/09 03:02:18 - mmengine - INFO - Epoch(val) [10][2460/6282] eta: 0:05:45 time: 0.0903 data_time: 0.0297 memory: 806 2022/08/09 03:02:20 - mmengine - INFO - Epoch(val) [10][2480/6282] eta: 0:05:04 time: 0.0801 data_time: 0.0169 memory: 806 2022/08/09 03:02:22 - mmengine - INFO - Epoch(val) [10][2500/6282] eta: 0:05:43 time: 0.0909 data_time: 0.0312 memory: 806 2022/08/09 03:02:23 - mmengine - INFO - Epoch(val) [10][2520/6282] eta: 0:04:52 time: 0.0776 data_time: 0.0198 memory: 806 2022/08/09 03:02:26 - mmengine - INFO - Epoch(val) [10][2540/6282] eta: 0:07:44 time: 0.1241 data_time: 0.0656 memory: 806 2022/08/09 03:02:29 - mmengine - INFO - Epoch(val) [10][2560/6282] eta: 0:08:43 time: 0.1406 data_time: 0.0843 memory: 806 2022/08/09 03:02:32 - mmengine - INFO - Epoch(val) [10][2580/6282] eta: 0:11:17 time: 0.1829 data_time: 0.1252 memory: 806 2022/08/09 03:02:35 - mmengine - INFO - Epoch(val) [10][2600/6282] eta: 0:09:04 time: 0.1480 data_time: 0.0654 memory: 806 2022/08/09 03:02:39 - mmengine - INFO - Epoch(val) [10][2620/6282] eta: 0:10:19 time: 0.1693 data_time: 0.1091 memory: 806 2022/08/09 03:02:41 - mmengine - INFO - Epoch(val) [10][2640/6282] eta: 0:07:44 time: 0.1274 data_time: 0.0623 memory: 806 2022/08/09 03:02:43 - mmengine - INFO - Epoch(val) [10][2660/6282] eta: 0:05:14 time: 0.0869 data_time: 0.0103 memory: 899 2022/08/09 03:02:44 - mmengine - INFO - Epoch(val) [10][2680/6282] eta: 0:04:30 time: 0.0751 data_time: 0.0051 memory: 899 2022/08/09 03:02:46 - mmengine - INFO - Epoch(val) [10][2700/6282] eta: 0:04:49 time: 0.0809 data_time: 0.0067 memory: 899 2022/08/09 03:02:48 - mmengine - INFO - Epoch(val) [10][2720/6282] eta: 0:05:13 time: 0.0881 data_time: 0.0092 memory: 899 2022/08/09 03:02:49 - mmengine - INFO - Epoch(val) [10][2740/6282] eta: 0:04:51 time: 0.0823 data_time: 0.0077 memory: 899 2022/08/09 03:02:51 - mmengine - INFO - Epoch(val) [10][2760/6282] eta: 0:03:37 time: 0.0619 data_time: 0.0054 memory: 741 2022/08/09 03:02:52 - mmengine - INFO - Epoch(val) [10][2780/6282] eta: 0:03:31 time: 0.0604 data_time: 0.0049 memory: 741 2022/08/09 03:02:54 - mmengine - INFO - Epoch(val) [10][2800/6282] eta: 0:04:58 time: 0.0859 data_time: 0.0062 memory: 741 2022/08/09 03:02:55 - mmengine - INFO - Epoch(val) [10][2820/6282] eta: 0:03:39 time: 0.0635 data_time: 0.0062 memory: 741 2022/08/09 03:02:56 - mmengine - INFO - Epoch(val) [10][2840/6282] eta: 0:03:17 time: 0.0574 data_time: 0.0055 memory: 741 2022/08/09 03:02:57 - mmengine - INFO - Epoch(val) [10][2860/6282] eta: 0:03:43 time: 0.0655 data_time: 0.0052 memory: 806 2022/08/09 03:02:59 - mmengine - INFO - Epoch(val) [10][2880/6282] eta: 0:03:32 time: 0.0624 data_time: 0.0044 memory: 806 2022/08/09 03:03:00 - mmengine - INFO - Epoch(val) [10][2900/6282] eta: 0:03:30 time: 0.0624 data_time: 0.0042 memory: 806 2022/08/09 03:03:01 - mmengine - INFO - Epoch(val) [10][2920/6282] eta: 0:03:18 time: 0.0589 data_time: 0.0057 memory: 806 2022/08/09 03:03:02 - mmengine - INFO - Epoch(val) [10][2940/6282] eta: 0:02:59 time: 0.0536 data_time: 0.0046 memory: 769 2022/08/09 03:03:03 - mmengine - INFO - Epoch(val) [10][2960/6282] eta: 0:03:08 time: 0.0568 data_time: 0.0042 memory: 769 2022/08/09 03:03:04 - mmengine - INFO - Epoch(val) [10][2980/6282] eta: 0:02:55 time: 0.0533 data_time: 0.0037 memory: 769 2022/08/09 03:03:05 - mmengine - INFO - Epoch(val) [10][3000/6282] eta: 0:02:54 time: 0.0532 data_time: 0.0039 memory: 769 2022/08/09 03:03:07 - mmengine - INFO - Epoch(val) [10][3020/6282] eta: 0:03:13 time: 0.0592 data_time: 0.0041 memory: 806 2022/08/09 03:03:08 - mmengine - INFO - Epoch(val) [10][3040/6282] eta: 0:03:37 time: 0.0670 data_time: 0.0052 memory: 806 2022/08/09 03:03:09 - mmengine - INFO - Epoch(val) [10][3060/6282] eta: 0:03:40 time: 0.0684 data_time: 0.0057 memory: 806 2022/08/09 03:03:11 - mmengine - INFO - Epoch(val) [10][3080/6282] eta: 0:03:27 time: 0.0649 data_time: 0.0049 memory: 806 2022/08/09 03:03:12 - mmengine - INFO - Epoch(val) [10][3100/6282] eta: 0:03:26 time: 0.0648 data_time: 0.0061 memory: 806 2022/08/09 03:03:14 - mmengine - INFO - Epoch(val) [10][3120/6282] eta: 0:04:18 time: 0.0816 data_time: 0.0052 memory: 741 2022/08/09 03:03:15 - mmengine - INFO - Epoch(val) [10][3140/6282] eta: 0:03:23 time: 0.0648 data_time: 0.0072 memory: 741 2022/08/09 03:03:16 - mmengine - INFO - Epoch(val) [10][3160/6282] eta: 0:03:10 time: 0.0610 data_time: 0.0058 memory: 741 2022/08/09 03:03:17 - mmengine - INFO - Epoch(val) [10][3180/6282] eta: 0:03:11 time: 0.0619 data_time: 0.0085 memory: 741 2022/08/09 03:03:19 - mmengine - INFO - Epoch(val) [10][3200/6282] eta: 0:03:36 time: 0.0703 data_time: 0.0100 memory: 806 2022/08/09 03:03:20 - mmengine - INFO - Epoch(val) [10][3220/6282] eta: 0:04:03 time: 0.0795 data_time: 0.0153 memory: 806 2022/08/09 03:03:22 - mmengine - INFO - Epoch(val) [10][3240/6282] eta: 0:03:31 time: 0.0695 data_time: 0.0051 memory: 806 2022/08/09 03:03:23 - mmengine - INFO - Epoch(val) [10][3260/6282] eta: 0:03:33 time: 0.0707 data_time: 0.0101 memory: 806 2022/08/09 03:03:25 - mmengine - INFO - Epoch(val) [10][3280/6282] eta: 0:03:11 time: 0.0638 data_time: 0.0050 memory: 806 2022/08/09 03:03:26 - mmengine - INFO - Epoch(val) [10][3300/6282] eta: 0:03:07 time: 0.0627 data_time: 0.0041 memory: 806 2022/08/09 03:03:27 - mmengine - INFO - Epoch(val) [10][3320/6282] eta: 0:03:13 time: 0.0653 data_time: 0.0056 memory: 806 2022/08/09 03:03:28 - mmengine - INFO - Epoch(val) [10][3340/6282] eta: 0:03:08 time: 0.0641 data_time: 0.0046 memory: 806 2022/08/09 03:03:30 - mmengine - INFO - Epoch(val) [10][3360/6282] eta: 0:03:17 time: 0.0675 data_time: 0.0052 memory: 806 2022/08/09 03:03:31 - mmengine - INFO - Epoch(val) [10][3380/6282] eta: 0:03:01 time: 0.0624 data_time: 0.0042 memory: 806 2022/08/09 03:03:32 - mmengine - INFO - Epoch(val) [10][3400/6282] eta: 0:02:42 time: 0.0563 data_time: 0.0048 memory: 736 2022/08/09 03:03:34 - mmengine - INFO - Epoch(val) [10][3420/6282] eta: 0:03:44 time: 0.0785 data_time: 0.0043 memory: 736 2022/08/09 03:03:35 - mmengine - INFO - Epoch(val) [10][3440/6282] eta: 0:02:26 time: 0.0515 data_time: 0.0054 memory: 736 2022/08/09 03:03:36 - mmengine - INFO - Epoch(val) [10][3460/6282] eta: 0:02:27 time: 0.0523 data_time: 0.0044 memory: 736 2022/08/09 03:03:37 - mmengine - INFO - Epoch(val) [10][3480/6282] eta: 0:02:24 time: 0.0514 data_time: 0.0042 memory: 736 2022/08/09 03:03:38 - mmengine - INFO - Epoch(val) [10][3500/6282] eta: 0:02:20 time: 0.0505 data_time: 0.0037 memory: 736 2022/08/09 03:03:39 - mmengine - INFO - Epoch(val) [10][3520/6282] eta: 0:02:18 time: 0.0503 data_time: 0.0037 memory: 736 2022/08/09 03:03:40 - mmengine - INFO - Epoch(val) [10][3540/6282] eta: 0:02:18 time: 0.0507 data_time: 0.0038 memory: 736 2022/08/09 03:03:41 - mmengine - INFO - Epoch(val) [10][3560/6282] eta: 0:02:19 time: 0.0514 data_time: 0.0042 memory: 736 2022/08/09 03:03:42 - mmengine - INFO - Epoch(val) [10][3580/6282] eta: 0:02:32 time: 0.0566 data_time: 0.0056 memory: 786 2022/08/09 03:03:43 - mmengine - INFO - Epoch(val) [10][3600/6282] eta: 0:02:58 time: 0.0667 data_time: 0.0055 memory: 786 2022/08/09 03:03:45 - mmengine - INFO - Epoch(val) [10][3620/6282] eta: 0:02:55 time: 0.0660 data_time: 0.0071 memory: 786 2022/08/09 03:03:46 - mmengine - INFO - Epoch(val) [10][3640/6282] eta: 0:02:45 time: 0.0626 data_time: 0.0053 memory: 786 2022/08/09 03:03:48 - mmengine - INFO - Epoch(val) [10][3660/6282] eta: 0:04:04 time: 0.0931 data_time: 0.0081 memory: 786 2022/08/09 03:03:49 - mmengine - INFO - Epoch(val) [10][3680/6282] eta: 0:03:17 time: 0.0761 data_time: 0.0084 memory: 806 2022/08/09 03:03:51 - mmengine - INFO - Epoch(val) [10][3700/6282] eta: 0:03:27 time: 0.0802 data_time: 0.0169 memory: 806 2022/08/09 03:03:53 - mmengine - INFO - Epoch(val) [10][3720/6282] eta: 0:03:49 time: 0.0898 data_time: 0.0263 memory: 806 2022/08/09 03:03:54 - mmengine - INFO - Epoch(val) [10][3740/6282] eta: 0:03:27 time: 0.0818 data_time: 0.0175 memory: 806 2022/08/09 03:03:56 - mmengine - INFO - Epoch(val) [10][3760/6282] eta: 0:03:50 time: 0.0914 data_time: 0.0320 memory: 806 2022/08/09 03:03:58 - mmengine - INFO - Epoch(val) [10][3780/6282] eta: 0:03:28 time: 0.0835 data_time: 0.0230 memory: 806 2022/08/09 03:04:00 - mmengine - INFO - Epoch(val) [10][3800/6282] eta: 0:03:27 time: 0.0835 data_time: 0.0192 memory: 806 2022/08/09 03:04:02 - mmengine - INFO - Epoch(val) [10][3820/6282] eta: 0:04:12 time: 0.1024 data_time: 0.0204 memory: 806 2022/08/09 03:04:03 - mmengine - INFO - Epoch(val) [10][3840/6282] eta: 0:03:03 time: 0.0753 data_time: 0.0108 memory: 806 2022/08/09 03:04:05 - mmengine - INFO - Epoch(val) [10][3860/6282] eta: 0:03:17 time: 0.0816 data_time: 0.0212 memory: 806 2022/08/09 03:04:07 - mmengine - INFO - Epoch(val) [10][3880/6282] eta: 0:03:41 time: 0.0921 data_time: 0.0267 memory: 806 2022/08/09 03:04:08 - mmengine - INFO - Epoch(val) [10][3900/6282] eta: 0:02:45 time: 0.0696 data_time: 0.0072 memory: 806 2022/08/09 03:04:10 - mmengine - INFO - Epoch(val) [10][3920/6282] eta: 0:02:59 time: 0.0760 data_time: 0.0140 memory: 806 2022/08/09 03:04:11 - mmengine - INFO - Epoch(val) [10][3940/6282] eta: 0:02:43 time: 0.0698 data_time: 0.0089 memory: 806 2022/08/09 03:04:13 - mmengine - INFO - Epoch(val) [10][3960/6282] eta: 0:03:28 time: 0.0898 data_time: 0.0051 memory: 806 2022/08/09 03:04:14 - mmengine - INFO - Epoch(val) [10][3980/6282] eta: 0:02:20 time: 0.0609 data_time: 0.0037 memory: 806 2022/08/09 03:04:15 - mmengine - INFO - Epoch(val) [10][4000/6282] eta: 0:02:13 time: 0.0587 data_time: 0.0037 memory: 806 2022/08/09 03:04:16 - mmengine - INFO - Epoch(val) [10][4020/6282] eta: 0:02:16 time: 0.0601 data_time: 0.0035 memory: 806 2022/08/09 03:04:18 - mmengine - INFO - Epoch(val) [10][4040/6282] eta: 0:02:19 time: 0.0620 data_time: 0.0038 memory: 899 2022/08/09 03:04:19 - mmengine - INFO - Epoch(val) [10][4060/6282] eta: 0:02:37 time: 0.0708 data_time: 0.0046 memory: 899 2022/08/09 03:04:21 - mmengine - INFO - Epoch(val) [10][4080/6282] eta: 0:02:36 time: 0.0713 data_time: 0.0054 memory: 899 2022/08/09 03:04:22 - mmengine - INFO - Epoch(val) [10][4100/6282] eta: 0:02:45 time: 0.0759 data_time: 0.0058 memory: 899 2022/08/09 03:04:24 - mmengine - INFO - Epoch(val) [10][4120/6282] eta: 0:02:58 time: 0.0823 data_time: 0.0066 memory: 899 2022/08/09 03:04:25 - mmengine - INFO - Epoch(val) [10][4140/6282] eta: 0:02:32 time: 0.0713 data_time: 0.0059 memory: 899 2022/08/09 03:04:26 - mmengine - INFO - Epoch(val) [10][4160/6282] eta: 0:01:55 time: 0.0544 data_time: 0.0040 memory: 736 2022/08/09 03:04:27 - mmengine - INFO - Epoch(val) [10][4180/6282] eta: 0:01:56 time: 0.0555 data_time: 0.0044 memory: 736 2022/08/09 03:04:29 - mmengine - INFO - Epoch(val) [10][4200/6282] eta: 0:01:53 time: 0.0545 data_time: 0.0052 memory: 736 2022/08/09 03:04:30 - mmengine - INFO - Epoch(val) [10][4220/6282] eta: 0:01:53 time: 0.0548 data_time: 0.0051 memory: 736 2022/08/09 03:04:31 - mmengine - INFO - Epoch(val) [10][4240/6282] eta: 0:01:51 time: 0.0547 data_time: 0.0046 memory: 736 2022/08/09 03:04:32 - mmengine - INFO - Epoch(val) [10][4260/6282] eta: 0:01:50 time: 0.0549 data_time: 0.0042 memory: 735 2022/08/09 03:04:33 - mmengine - INFO - Epoch(val) [10][4280/6282] eta: 0:02:33 time: 0.0768 data_time: 0.0039 memory: 735 2022/08/09 03:04:34 - mmengine - INFO - Epoch(val) [10][4300/6282] eta: 0:01:39 time: 0.0501 data_time: 0.0034 memory: 735 2022/08/09 03:04:35 - mmengine - INFO - Epoch(val) [10][4320/6282] eta: 0:01:40 time: 0.0514 data_time: 0.0045 memory: 735 2022/08/09 03:04:36 - mmengine - INFO - Epoch(val) [10][4340/6282] eta: 0:01:35 time: 0.0494 data_time: 0.0033 memory: 735 2022/08/09 03:04:38 - mmengine - INFO - Epoch(val) [10][4360/6282] eta: 0:01:59 time: 0.0623 data_time: 0.0044 memory: 806 2022/08/09 03:04:39 - mmengine - INFO - Epoch(val) [10][4380/6282] eta: 0:01:59 time: 0.0628 data_time: 0.0042 memory: 806 2022/08/09 03:04:40 - mmengine - INFO - Epoch(val) [10][4400/6282] eta: 0:01:56 time: 0.0619 data_time: 0.0050 memory: 806 2022/08/09 03:04:41 - mmengine - INFO - Epoch(val) [10][4420/6282] eta: 0:01:58 time: 0.0634 data_time: 0.0053 memory: 806 2022/08/09 03:04:43 - mmengine - INFO - Epoch(val) [10][4440/6282] eta: 0:02:00 time: 0.0656 data_time: 0.0058 memory: 814 2022/08/09 03:04:44 - mmengine - INFO - Epoch(val) [10][4460/6282] eta: 0:02:00 time: 0.0663 data_time: 0.0048 memory: 814 2022/08/09 03:04:46 - mmengine - INFO - Epoch(val) [10][4480/6282] eta: 0:02:04 time: 0.0692 data_time: 0.0052 memory: 814 2022/08/09 03:04:47 - mmengine - INFO - Epoch(val) [10][4500/6282] eta: 0:02:06 time: 0.0711 data_time: 0.0052 memory: 814 2022/08/09 03:04:48 - mmengine - INFO - Epoch(val) [10][4520/6282] eta: 0:01:57 time: 0.0667 data_time: 0.0056 memory: 814 2022/08/09 03:04:49 - mmengine - INFO - Epoch(val) [10][4540/6282] eta: 0:01:38 time: 0.0565 data_time: 0.0055 memory: 742 2022/08/09 03:04:51 - mmengine - INFO - Epoch(val) [10][4560/6282] eta: 0:01:32 time: 0.0537 data_time: 0.0052 memory: 742 2022/08/09 03:04:52 - mmengine - INFO - Epoch(val) [10][4580/6282] eta: 0:01:33 time: 0.0551 data_time: 0.0047 memory: 742 2022/08/09 03:04:53 - mmengine - INFO - Epoch(val) [10][4600/6282] eta: 0:01:33 time: 0.0555 data_time: 0.0049 memory: 742 2022/08/09 03:04:54 - mmengine - INFO - Epoch(val) [10][4620/6282] eta: 0:01:29 time: 0.0540 data_time: 0.0047 memory: 742 2022/08/09 03:04:55 - mmengine - INFO - Epoch(val) [10][4640/6282] eta: 0:01:41 time: 0.0619 data_time: 0.0043 memory: 814 2022/08/09 03:04:56 - mmengine - INFO - Epoch(val) [10][4660/6282] eta: 0:01:44 time: 0.0644 data_time: 0.0042 memory: 814 2022/08/09 03:04:58 - mmengine - INFO - Epoch(val) [10][4680/6282] eta: 0:01:40 time: 0.0625 data_time: 0.0039 memory: 814 2022/08/09 03:04:59 - mmengine - INFO - Epoch(val) [10][4700/6282] eta: 0:01:39 time: 0.0631 data_time: 0.0046 memory: 814 2022/08/09 03:05:00 - mmengine - INFO - Epoch(val) [10][4720/6282] eta: 0:01:40 time: 0.0643 data_time: 0.0050 memory: 814 2022/08/09 03:05:02 - mmengine - INFO - Epoch(val) [10][4740/6282] eta: 0:01:49 time: 0.0710 data_time: 0.0044 memory: 766 2022/08/09 03:05:03 - mmengine - INFO - Epoch(val) [10][4760/6282] eta: 0:01:32 time: 0.0610 data_time: 0.0061 memory: 766 2022/08/09 03:05:04 - mmengine - INFO - Epoch(val) [10][4780/6282] eta: 0:01:27 time: 0.0580 data_time: 0.0052 memory: 766 2022/08/09 03:05:05 - mmengine - INFO - Epoch(val) [10][4800/6282] eta: 0:01:24 time: 0.0570 data_time: 0.0049 memory: 766 2022/08/09 03:05:06 - mmengine - INFO - Epoch(val) [10][4820/6282] eta: 0:01:29 time: 0.0615 data_time: 0.0050 memory: 806 2022/08/09 03:05:08 - mmengine - INFO - Epoch(val) [10][4840/6282] eta: 0:01:31 time: 0.0634 data_time: 0.0054 memory: 806 2022/08/09 03:05:09 - mmengine - INFO - Epoch(val) [10][4860/6282] eta: 0:01:29 time: 0.0626 data_time: 0.0052 memory: 806 2022/08/09 03:05:10 - mmengine - INFO - Epoch(val) [10][4880/6282] eta: 0:01:26 time: 0.0619 data_time: 0.0044 memory: 806 2022/08/09 03:05:11 - mmengine - INFO - Epoch(val) [10][4900/6282] eta: 0:01:27 time: 0.0636 data_time: 0.0052 memory: 806 2022/08/09 03:05:13 - mmengine - INFO - Epoch(val) [10][4920/6282] eta: 0:01:58 time: 0.0869 data_time: 0.0045 memory: 809 2022/08/09 03:05:14 - mmengine - INFO - Epoch(val) [10][4940/6282] eta: 0:01:25 time: 0.0634 data_time: 0.0045 memory: 809 2022/08/09 03:05:16 - mmengine - INFO - Epoch(val) [10][4960/6282] eta: 0:01:26 time: 0.0657 data_time: 0.0054 memory: 809 2022/08/09 03:05:17 - mmengine - INFO - Epoch(val) [10][4980/6282] eta: 0:01:28 time: 0.0676 data_time: 0.0049 memory: 809 2022/08/09 03:05:19 - mmengine - INFO - Epoch(val) [10][5000/6282] eta: 0:01:28 time: 0.0694 data_time: 0.0059 memory: 809 2022/08/09 03:05:20 - mmengine - INFO - Epoch(val) [10][5020/6282] eta: 0:01:20 time: 0.0635 data_time: 0.0051 memory: 809 2022/08/09 03:05:21 - mmengine - INFO - Epoch(val) [10][5040/6282] eta: 0:01:10 time: 0.0571 data_time: 0.0044 memory: 741 2022/08/09 03:05:22 - mmengine - INFO - Epoch(val) [10][5060/6282] eta: 0:01:10 time: 0.0578 data_time: 0.0048 memory: 741 2022/08/09 03:05:23 - mmengine - INFO - Epoch(val) [10][5080/6282] eta: 0:01:09 time: 0.0577 data_time: 0.0056 memory: 741 2022/08/09 03:05:25 - mmengine - INFO - Epoch(val) [10][5100/6282] eta: 0:01:10 time: 0.0593 data_time: 0.0064 memory: 741 2022/08/09 03:05:26 - mmengine - INFO - Epoch(val) [10][5120/6282] eta: 0:01:06 time: 0.0575 data_time: 0.0042 memory: 741 2022/08/09 03:05:27 - mmengine - INFO - Epoch(val) [10][5140/6282] eta: 0:01:04 time: 0.0564 data_time: 0.0049 memory: 736 2022/08/09 03:05:28 - mmengine - INFO - Epoch(val) [10][5160/6282] eta: 0:01:22 time: 0.0734 data_time: 0.0213 memory: 736 2022/08/09 03:05:29 - mmengine - INFO - Epoch(val) [10][5180/6282] eta: 0:01:00 time: 0.0550 data_time: 0.0049 memory: 736 2022/08/09 03:05:31 - mmengine - INFO - Epoch(val) [10][5200/6282] eta: 0:01:01 time: 0.0571 data_time: 0.0046 memory: 736 2022/08/09 03:05:32 - mmengine - INFO - Epoch(val) [10][5220/6282] eta: 0:00:59 time: 0.0561 data_time: 0.0046 memory: 736 2022/08/09 03:05:33 - mmengine - INFO - Epoch(val) [10][5240/6282] eta: 0:01:24 time: 0.0815 data_time: 0.0059 memory: 735 2022/08/09 03:05:34 - mmengine - INFO - Epoch(val) [10][5260/6282] eta: 0:00:56 time: 0.0549 data_time: 0.0057 memory: 735 2022/08/09 03:05:36 - mmengine - INFO - Epoch(val) [10][5280/6282] eta: 0:00:56 time: 0.0563 data_time: 0.0064 memory: 735 2022/08/09 03:05:37 - mmengine - INFO - Epoch(val) [10][5300/6282] eta: 0:00:54 time: 0.0559 data_time: 0.0051 memory: 735 2022/08/09 03:05:38 - mmengine - INFO - Epoch(val) [10][5320/6282] eta: 0:00:54 time: 0.0571 data_time: 0.0062 memory: 736 2022/08/09 03:05:39 - mmengine - INFO - Epoch(val) [10][5340/6282] eta: 0:00:53 time: 0.0566 data_time: 0.0061 memory: 736 2022/08/09 03:05:40 - mmengine - INFO - Epoch(val) [10][5360/6282] eta: 0:00:54 time: 0.0586 data_time: 0.0055 memory: 736 2022/08/09 03:05:41 - mmengine - INFO - Epoch(val) [10][5380/6282] eta: 0:00:52 time: 0.0579 data_time: 0.0048 memory: 736 2022/08/09 03:05:42 - mmengine - INFO - Epoch(val) [10][5400/6282] eta: 0:00:50 time: 0.0576 data_time: 0.0048 memory: 736 2022/08/09 03:05:44 - mmengine - INFO - Epoch(val) [10][5420/6282] eta: 0:00:48 time: 0.0560 data_time: 0.0056 memory: 736 2022/08/09 03:05:45 - mmengine - INFO - Epoch(val) [10][5440/6282] eta: 0:00:46 time: 0.0558 data_time: 0.0051 memory: 736 2022/08/09 03:05:46 - mmengine - INFO - Epoch(val) [10][5460/6282] eta: 0:00:46 time: 0.0567 data_time: 0.0055 memory: 736 2022/08/09 03:05:47 - mmengine - INFO - Epoch(val) [10][5480/6282] eta: 0:00:44 time: 0.0561 data_time: 0.0060 memory: 736 2022/08/09 03:05:49 - mmengine - INFO - Epoch(val) [10][5500/6282] eta: 0:01:05 time: 0.0841 data_time: 0.0055 memory: 736 2022/08/09 03:05:50 - mmengine - INFO - Epoch(val) [10][5520/6282] eta: 0:00:45 time: 0.0594 data_time: 0.0051 memory: 761 2022/08/09 03:05:51 - mmengine - INFO - 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mmengine - INFO - Epoch(val) [10][5720/6282] eta: 0:00:30 time: 0.0544 data_time: 0.0046 memory: 777 2022/08/09 03:06:02 - mmengine - INFO - Epoch(val) [10][5740/6282] eta: 0:00:32 time: 0.0598 data_time: 0.0069 memory: 777 2022/08/09 03:06:04 - mmengine - INFO - Epoch(val) [10][5760/6282] eta: 0:00:43 time: 0.0832 data_time: 0.0057 memory: 777 2022/08/09 03:06:05 - mmengine - INFO - Epoch(val) [10][5780/6282] eta: 0:00:29 time: 0.0582 data_time: 0.0044 memory: 777 2022/08/09 03:06:06 - mmengine - INFO - Epoch(val) [10][5800/6282] eta: 0:00:28 time: 0.0586 data_time: 0.0047 memory: 777 2022/08/09 03:06:08 - mmengine - INFO - Epoch(val) [10][5820/6282] eta: 0:00:27 time: 0.0600 data_time: 0.0064 memory: 777 2022/08/09 03:06:09 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:26 time: 0.0596 data_time: 0.0047 memory: 761 2022/08/09 03:06:10 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:24 time: 0.0575 data_time: 0.0047 memory: 761 2022/08/09 03:06:11 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:23 time: 0.0577 data_time: 0.0046 memory: 761 2022/08/09 03:06:12 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:22 time: 0.0588 data_time: 0.0058 memory: 761 2022/08/09 03:06:13 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:19 time: 0.0544 data_time: 0.0057 memory: 761 2022/08/09 03:06:14 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:18 time: 0.0548 data_time: 0.0044 memory: 736 2022/08/09 03:06:16 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:19 time: 0.0592 data_time: 0.0057 memory: 736 2022/08/09 03:06:17 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:18 time: 0.0620 data_time: 0.0083 memory: 736 2022/08/09 03:06:18 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:19 time: 0.0690 data_time: 0.0066 memory: 806 2022/08/09 03:06:20 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:19 time: 0.0740 data_time: 0.0064 memory: 806 2022/08/09 03:06:21 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:16 time: 0.0698 data_time: 0.0069 memory: 806 2022/08/09 03:06:23 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:20 time: 0.0944 data_time: 0.0058 memory: 806 2022/08/09 03:06:24 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:14 time: 0.0704 data_time: 0.0060 memory: 806 2022/08/09 03:06:26 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:12 time: 0.0667 data_time: 0.0048 memory: 806 2022/08/09 03:06:27 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:10 time: 0.0645 data_time: 0.0050 memory: 806 2022/08/09 03:06:28 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:08 time: 0.0626 data_time: 0.0049 memory: 806 2022/08/09 03:06:30 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:07 time: 0.0603 data_time: 0.0045 memory: 806 2022/08/09 03:06:31 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:05 time: 0.0559 data_time: 0.0035 memory: 806 2022/08/09 03:06:32 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:04 time: 0.0544 data_time: 0.0032 memory: 806 2022/08/09 03:06:33 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:03 time: 0.0538 data_time: 0.0031 memory: 806 2022/08/09 03:06:34 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:02 time: 0.0532 data_time: 0.0027 memory: 806 2022/08/09 03:06:35 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:01 time: 0.0530 data_time: 0.0026 memory: 806 2022/08/09 03:06:36 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0524 data_time: 0.0024 memory: 806 2022/08/09 03:10:34 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.2516 2022/08/09 03:10:50 - mmengine - INFO - Epoch(train) [11][20/2881] lr: 1.0000e-02 eta: 5:17:39 time: 0.7949 data_time: 0.1471 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.8532 prec@thr=0.5: 0.7341 recall@top3: 0.8175 prec@top3: 0.6984 recall@top5: 0.9603 prec@top5: 0.5238 loss_action_cls: 0.0374 loss: 0.0374 2022/08/09 03:11:03 - mmengine - INFO - Epoch(train) [11][40/2881] lr: 1.0000e-02 eta: 5:17:26 time: 0.6446 data_time: 0.0233 memory: 13802 grad_norm: 0.1448 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.8067 recall@top3: 0.9867 prec@top3: 0.6267 recall@top5: 1.0000 prec@top5: 0.3840 loss_action_cls: 0.0343 loss: 0.0343 2022/08/09 03:11:16 - mmengine - INFO - Epoch(train) [11][60/2881] lr: 1.0000e-02 eta: 5:17:12 time: 0.6442 data_time: 0.0250 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.9298 recall@top3: 0.9737 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0338 loss: 0.0338 2022/08/09 03:11:29 - mmengine - INFO - Epoch(train) [11][80/2881] lr: 1.0000e-02 eta: 5:16:58 time: 0.6364 data_time: 0.0249 memory: 13802 grad_norm: 0.1563 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7800 recall@top3: 0.7867 prec@top3: 0.5333 recall@top5: 0.9200 prec@top5: 0.3840 loss_action_cls: 0.0356 loss: 0.0356 2022/08/09 03:11:41 - mmengine - INFO - Epoch(train) [11][100/2881] lr: 1.0000e-02 eta: 5:16:44 time: 0.6106 data_time: 0.0243 memory: 13802 grad_norm: 0.1541 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7292 recall@top3: 0.8299 prec@top3: 0.6389 recall@top5: 0.9410 prec@top5: 0.4500 loss_action_cls: 0.0355 loss: 0.0355 2022/08/09 03:11:54 - mmengine - INFO - Epoch(train) [11][120/2881] lr: 1.0000e-02 eta: 5:16:30 time: 0.6399 data_time: 0.0204 memory: 13802 grad_norm: 0.1481 recall@thr=0.5: 0.7631 prec@thr=0.5: 0.8440 recall@top3: 0.7750 prec@top3: 0.7738 recall@top5: 0.9345 prec@top5: 0.5857 loss_action_cls: 0.0353 loss: 0.0353 2022/08/09 03:12:06 - mmengine - INFO - Epoch(train) [11][140/2881] lr: 1.0000e-02 eta: 5:16:17 time: 0.6366 data_time: 0.0267 memory: 13802 grad_norm: 0.1494 recall@thr=0.5: 0.8304 prec@thr=0.5: 0.8185 recall@top3: 0.8690 prec@top3: 0.7500 recall@top5: 0.9226 prec@top5: 0.4929 loss_action_cls: 0.0394 loss: 0.0394 2022/08/09 03:12:19 - mmengine - INFO - Epoch(train) [11][160/2881] lr: 1.0000e-02 eta: 5:16:03 time: 0.6295 data_time: 0.0202 memory: 13802 grad_norm: 0.1538 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8000 recall@top3: 0.8500 prec@top3: 0.7000 recall@top5: 0.9000 prec@top5: 0.4500 loss_action_cls: 0.0338 loss: 0.0338 2022/08/09 03:12:32 - mmengine - INFO - Epoch(train) [11][180/2881] lr: 1.0000e-02 eta: 5:15:49 time: 0.6353 data_time: 0.0210 memory: 13802 grad_norm: 0.1548 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7976 recall@top3: 0.8929 prec@top3: 0.6905 recall@top5: 0.9107 prec@top5: 0.4286 loss_action_cls: 0.0332 loss: 0.0332 2022/08/09 03:12:38 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 03:12:45 - mmengine - INFO - Epoch(train) [11][200/2881] lr: 1.0000e-02 eta: 5:15:35 time: 0.6323 data_time: 0.0216 memory: 13802 grad_norm: 0.1537 recall@thr=0.5: 0.8300 prec@thr=0.5: 0.9467 recall@top3: 0.9167 prec@top3: 0.8667 recall@top5: 0.9733 prec@top5: 0.5600 loss_action_cls: 0.0362 loss: 0.0362 2022/08/09 03:12:57 - mmengine - INFO - Epoch(train) [11][220/2881] lr: 1.0000e-02 eta: 5:15:21 time: 0.6373 data_time: 0.0286 memory: 13802 grad_norm: 0.1562 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8785 recall@top3: 0.7847 prec@top3: 0.6806 recall@top5: 0.9757 prec@top5: 0.5333 loss_action_cls: 0.0316 loss: 0.0316 2022/08/09 03:13:10 - mmengine - INFO - Epoch(train) [11][240/2881] lr: 1.0000e-02 eta: 5:15:07 time: 0.6279 data_time: 0.0203 memory: 13802 grad_norm: 0.1559 recall@thr=0.5: 0.6763 prec@thr=0.5: 0.9423 recall@top3: 0.8558 prec@top3: 0.8462 recall@top5: 0.9904 prec@top5: 0.6077 loss_action_cls: 0.0390 loss: 0.0390 2022/08/09 03:13:23 - mmengine - INFO - Epoch(train) [11][260/2881] lr: 1.0000e-02 eta: 5:14:54 time: 0.6443 data_time: 0.0229 memory: 13802 grad_norm: 0.1532 recall@thr=0.5: 0.7096 prec@thr=0.5: 0.9040 recall@top3: 0.7980 prec@top3: 0.7677 recall@top5: 0.9394 prec@top5: 0.5455 loss_action_cls: 0.0316 loss: 0.0316 2022/08/09 03:13:35 - mmengine - INFO - Epoch(train) [11][280/2881] lr: 1.0000e-02 eta: 5:14:40 time: 0.6331 data_time: 0.0216 memory: 13802 grad_norm: 0.1569 recall@thr=0.5: 0.7768 prec@thr=0.5: 0.8696 recall@top3: 0.8783 prec@top3: 0.7536 recall@top5: 0.9783 prec@top5: 0.5217 loss_action_cls: 0.0308 loss: 0.0308 2022/08/09 03:13:48 - mmengine - INFO - Epoch(train) [11][300/2881] lr: 1.0000e-02 eta: 5:14:26 time: 0.6303 data_time: 0.0234 memory: 13802 grad_norm: 0.1515 recall@thr=0.5: 0.8563 prec@thr=0.5: 0.8678 recall@top3: 0.9655 prec@top3: 0.7471 recall@top5: 1.0000 prec@top5: 0.4621 loss_action_cls: 0.0308 loss: 0.0308 2022/08/09 03:14:00 - mmengine - INFO - Epoch(train) [11][320/2881] lr: 1.0000e-02 eta: 5:14:12 time: 0.6140 data_time: 0.0259 memory: 13802 grad_norm: 0.1547 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.9444 recall@top3: 0.8750 prec@top3: 0.7222 recall@top5: 0.9352 prec@top5: 0.4778 loss_action_cls: 0.0321 loss: 0.0321 2022/08/09 03:14:14 - mmengine - INFO - Epoch(train) [11][340/2881] lr: 1.0000e-02 eta: 5:13:59 time: 0.6763 data_time: 0.0225 memory: 13802 grad_norm: 0.1529 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.7910 recall@top3: 0.6923 prec@top3: 0.6410 recall@top5: 0.8397 prec@top5: 0.4692 loss_action_cls: 0.0316 loss: 0.0316 2022/08/09 03:14:26 - mmengine - INFO - Epoch(train) [11][360/2881] lr: 1.0000e-02 eta: 5:13:45 time: 0.6365 data_time: 0.0227 memory: 13802 grad_norm: 0.1610 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.6920 recall@top3: 0.7246 prec@top3: 0.4493 recall@top5: 0.9348 prec@top5: 0.3391 loss_action_cls: 0.0344 loss: 0.0344 2022/08/09 03:14:39 - mmengine - INFO - Epoch(train) [11][380/2881] lr: 1.0000e-02 eta: 5:13:32 time: 0.6287 data_time: 0.0227 memory: 13802 grad_norm: 0.1486 recall@thr=0.5: 0.7694 prec@thr=0.5: 0.8750 recall@top3: 0.8204 prec@top3: 0.7778 recall@top5: 0.9565 prec@top5: 0.5556 loss_action_cls: 0.0357 loss: 0.0357 2022/08/09 03:14:52 - mmengine - INFO - Epoch(train) [11][400/2881] lr: 1.0000e-02 eta: 5:13:18 time: 0.6467 data_time: 0.0201 memory: 13802 grad_norm: 0.1611 recall@thr=0.5: 0.7656 prec@thr=0.5: 0.7917 recall@top3: 0.8646 prec@top3: 0.6667 recall@top5: 0.9531 prec@top5: 0.4625 loss_action_cls: 0.0354 loss: 0.0354 2022/08/09 03:15:05 - mmengine - INFO - Epoch(train) [11][420/2881] lr: 1.0000e-02 eta: 5:13:04 time: 0.6378 data_time: 0.0215 memory: 13802 grad_norm: 0.1546 recall@thr=0.5: 0.7994 prec@thr=0.5: 0.8148 recall@top3: 0.9475 prec@top3: 0.6790 recall@top5: 0.9568 prec@top5: 0.4148 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 03:15:17 - mmengine - INFO - Epoch(train) [11][440/2881] lr: 1.0000e-02 eta: 5:12:51 time: 0.6417 data_time: 0.0231 memory: 13802 grad_norm: 0.1566 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8571 recall@top3: 0.9048 prec@top3: 0.7460 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0347 loss: 0.0347 2022/08/09 03:15:30 - mmengine - INFO - Epoch(train) [11][460/2881] lr: 1.0000e-02 eta: 5:12:37 time: 0.6335 data_time: 0.0221 memory: 13802 grad_norm: 0.1518 recall@thr=0.5: 0.8100 prec@thr=0.5: 0.8633 recall@top3: 0.8633 prec@top3: 0.7333 recall@top5: 0.9700 prec@top5: 0.5120 loss_action_cls: 0.0318 loss: 0.0318 2022/08/09 03:15:43 - mmengine - INFO - Epoch(train) [11][480/2881] lr: 1.0000e-02 eta: 5:12:23 time: 0.6364 data_time: 0.0235 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.9638 recall@top3: 0.8768 prec@top3: 0.8116 recall@top5: 0.9710 prec@top5: 0.5478 loss_action_cls: 0.0335 loss: 0.0335 2022/08/09 03:15:56 - mmengine - INFO - Epoch(train) [11][500/2881] lr: 1.0000e-02 eta: 5:12:10 time: 0.6428 data_time: 0.0215 memory: 13802 grad_norm: 0.1600 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.8397 recall@top3: 0.8590 prec@top3: 0.7692 recall@top5: 0.9615 prec@top5: 0.5231 loss_action_cls: 0.0326 loss: 0.0326 2022/08/09 03:16:08 - mmengine - INFO - Epoch(train) [11][520/2881] lr: 1.0000e-02 eta: 5:11:56 time: 0.6343 data_time: 0.0248 memory: 13802 grad_norm: 0.1525 recall@thr=0.5: 0.8800 prec@thr=0.5: 0.9400 recall@top3: 0.9333 prec@top3: 0.8133 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0317 loss: 0.0317 2022/08/09 03:16:21 - mmengine - INFO - Epoch(train) [11][540/2881] lr: 1.0000e-02 eta: 5:11:42 time: 0.6201 data_time: 0.0207 memory: 13802 grad_norm: 0.1528 recall@thr=0.5: 0.7725 prec@thr=0.5: 0.8551 recall@top3: 0.9101 prec@top3: 0.7246 recall@top5: 0.9913 prec@top5: 0.4783 loss_action_cls: 0.0364 loss: 0.0364 2022/08/09 03:16:33 - mmengine - INFO - Epoch(train) [11][560/2881] lr: 1.0000e-02 eta: 5:11:28 time: 0.6140 data_time: 0.0212 memory: 13802 grad_norm: 0.1580 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8095 recall@top3: 0.9018 prec@top3: 0.7381 recall@top5: 0.9673 prec@top5: 0.4786 loss_action_cls: 0.0283 loss: 0.0283 2022/08/09 03:16:46 - mmengine - INFO - Epoch(train) [11][580/2881] lr: 1.0000e-02 eta: 5:11:14 time: 0.6278 data_time: 0.0235 memory: 13802 grad_norm: 0.1591 recall@thr=0.5: 0.8218 prec@thr=0.5: 0.8910 recall@top3: 0.8218 prec@top3: 0.7949 recall@top5: 0.9551 prec@top5: 0.5769 loss_action_cls: 0.0364 loss: 0.0364 2022/08/09 03:16:58 - mmengine - INFO - Epoch(train) [11][600/2881] lr: 1.0000e-02 eta: 5:11:00 time: 0.6283 data_time: 0.0219 memory: 13802 grad_norm: 0.1544 recall@thr=0.5: 0.7724 prec@thr=0.5: 0.7885 recall@top3: 0.7468 prec@top3: 0.6923 recall@top5: 0.8590 prec@top5: 0.4923 loss_action_cls: 0.0330 loss: 0.0330 2022/08/09 03:17:11 - mmengine - INFO - Epoch(train) [11][620/2881] lr: 1.0000e-02 eta: 5:10:46 time: 0.6336 data_time: 0.0240 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8222 recall@top3: 0.7917 prec@top3: 0.6444 recall@top5: 0.9444 prec@top5: 0.4600 loss_action_cls: 0.0340 loss: 0.0340 2022/08/09 03:17:24 - mmengine - INFO - Epoch(train) [11][640/2881] lr: 1.0000e-02 eta: 5:10:32 time: 0.6298 data_time: 0.0217 memory: 13802 grad_norm: 0.1522 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.8867 recall@top3: 0.7567 prec@top3: 0.7200 recall@top5: 0.9367 prec@top5: 0.5600 loss_action_cls: 0.0338 loss: 0.0338 2022/08/09 03:17:36 - mmengine - INFO - Epoch(train) [11][660/2881] lr: 1.0000e-02 eta: 5:10:19 time: 0.6404 data_time: 0.0265 memory: 13802 grad_norm: 0.1605 recall@thr=0.5: 0.8906 prec@thr=0.5: 0.8750 recall@top3: 0.9531 prec@top3: 0.8542 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0319 loss: 0.0319 2022/08/09 03:17:49 - mmengine - INFO - Epoch(train) [11][680/2881] lr: 1.0000e-02 eta: 5:10:05 time: 0.6332 data_time: 0.0218 memory: 13802 grad_norm: 0.1555 recall@thr=0.5: 0.8244 prec@thr=0.5: 0.9226 recall@top3: 0.8631 prec@top3: 0.7619 recall@top5: 0.9345 prec@top5: 0.5071 loss_action_cls: 0.0362 loss: 0.0362 2022/08/09 03:18:02 - mmengine - INFO - Epoch(train) [11][700/2881] lr: 1.0000e-02 eta: 5:09:51 time: 0.6280 data_time: 0.0217 memory: 13802 grad_norm: 0.1588 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8333 recall@top3: 0.8854 prec@top3: 0.6806 recall@top5: 0.9653 prec@top5: 0.4500 loss_action_cls: 0.0336 loss: 0.0336 2022/08/09 03:18:14 - mmengine - INFO - Epoch(train) [11][720/2881] lr: 1.0000e-02 eta: 5:09:37 time: 0.6354 data_time: 0.0212 memory: 13802 grad_norm: 0.1604 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.9242 recall@top3: 0.8561 prec@top3: 0.7424 recall@top5: 0.9583 prec@top5: 0.5182 loss_action_cls: 0.0333 loss: 0.0333 2022/08/09 03:18:27 - mmengine - INFO - Epoch(train) [11][740/2881] lr: 1.0000e-02 eta: 5:09:24 time: 0.6326 data_time: 0.0243 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7833 recall@top3: 0.8333 prec@top3: 0.7000 recall@top5: 0.8833 prec@top5: 0.4600 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 03:18:40 - mmengine - INFO - Epoch(train) [11][760/2881] lr: 1.0000e-02 eta: 5:09:10 time: 0.6356 data_time: 0.0230 memory: 13802 grad_norm: 0.1561 recall@thr=0.5: 0.6506 prec@thr=0.5: 0.6730 recall@top3: 0.7713 prec@top3: 0.7126 recall@top5: 0.8897 prec@top5: 0.5034 loss_action_cls: 0.0328 loss: 0.0328 2022/08/09 03:18:52 - mmengine - INFO - Epoch(train) [11][780/2881] lr: 1.0000e-02 eta: 5:08:56 time: 0.6283 data_time: 0.0213 memory: 13802 grad_norm: 0.1553 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7381 recall@top3: 0.8571 prec@top3: 0.5873 recall@top5: 0.9524 prec@top5: 0.3905 loss_action_cls: 0.0333 loss: 0.0333 2022/08/09 03:19:05 - mmengine - INFO - Epoch(train) [11][800/2881] lr: 1.0000e-02 eta: 5:08:42 time: 0.6351 data_time: 0.0224 memory: 13802 grad_norm: 0.1669 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8929 recall@top3: 0.8690 prec@top3: 0.7143 recall@top5: 0.9405 prec@top5: 0.4714 loss_action_cls: 0.0358 loss: 0.0358 2022/08/09 03:19:18 - mmengine - INFO - Epoch(train) [11][820/2881] lr: 1.0000e-02 eta: 5:08:29 time: 0.6381 data_time: 0.0217 memory: 13802 grad_norm: 0.1598 recall@thr=0.5: 0.7992 prec@thr=0.5: 0.8030 recall@top3: 0.8864 prec@top3: 0.6515 recall@top5: 0.9432 prec@top5: 0.4182 loss_action_cls: 0.0332 loss: 0.0332 2022/08/09 03:19:30 - mmengine - INFO - Epoch(train) [11][840/2881] lr: 1.0000e-02 eta: 5:08:15 time: 0.6293 data_time: 0.0267 memory: 13802 grad_norm: 0.1562 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8264 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0343 loss: 0.0343 2022/08/09 03:19:43 - mmengine - INFO - Epoch(train) [11][860/2881] lr: 1.0000e-02 eta: 5:08:01 time: 0.6354 data_time: 0.0269 memory: 13802 grad_norm: 0.1556 recall@thr=0.5: 0.7747 prec@thr=0.5: 0.7533 recall@top3: 0.7600 prec@top3: 0.6800 recall@top5: 0.9093 prec@top5: 0.4960 loss_action_cls: 0.0324 loss: 0.0324 2022/08/09 03:19:56 - mmengine - INFO - Epoch(train) [11][880/2881] lr: 1.0000e-02 eta: 5:07:47 time: 0.6431 data_time: 0.0281 memory: 13802 grad_norm: 0.1617 recall@thr=0.5: 0.8863 prec@thr=0.5: 0.8726 recall@top3: 0.8917 prec@top3: 0.7500 recall@top5: 0.9857 prec@top5: 0.5214 loss_action_cls: 0.0364 loss: 0.0364 2022/08/09 03:20:08 - mmengine - INFO - Epoch(train) [11][900/2881] lr: 1.0000e-02 eta: 5:07:33 time: 0.6174 data_time: 0.0232 memory: 13802 grad_norm: 0.1576 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8492 recall@top3: 0.9250 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4200 loss_action_cls: 0.0341 loss: 0.0341 2022/08/09 03:20:21 - mmengine - INFO - Epoch(train) [11][920/2881] lr: 1.0000e-02 eta: 5:07:20 time: 0.6272 data_time: 0.0198 memory: 13802 grad_norm: 0.1582 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.8333 recall@top3: 0.7788 prec@top3: 0.6923 recall@top5: 0.9135 prec@top5: 0.5077 loss_action_cls: 0.0350 loss: 0.0350 2022/08/09 03:20:34 - mmengine - INFO - Epoch(train) [11][940/2881] lr: 1.0000e-02 eta: 5:07:06 time: 0.6428 data_time: 0.0205 memory: 13802 grad_norm: 0.1643 recall@thr=0.5: 0.8939 prec@thr=0.5: 0.8561 recall@top3: 0.8939 prec@top3: 0.6818 recall@top5: 0.9697 prec@top5: 0.4636 loss_action_cls: 0.0350 loss: 0.0350 2022/08/09 03:20:46 - mmengine - INFO - Epoch(train) [11][960/2881] lr: 1.0000e-02 eta: 5:06:52 time: 0.6397 data_time: 0.0226 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.8365 prec@thr=0.5: 0.9167 recall@top3: 0.9006 prec@top3: 0.7692 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 03:20:59 - mmengine - INFO - Epoch(train) [11][980/2881] lr: 1.0000e-02 eta: 5:06:38 time: 0.6076 data_time: 0.0217 memory: 13802 grad_norm: 0.1594 recall@thr=0.5: 0.9420 prec@thr=0.5: 0.9420 recall@top3: 0.9783 prec@top3: 0.8261 recall@top5: 1.0000 prec@top5: 0.5130 loss_action_cls: 0.0326 loss: 0.0326 2022/08/09 03:21:11 - mmengine - INFO - Epoch(train) [11][1000/2881] lr: 1.0000e-02 eta: 5:06:24 time: 0.6263 data_time: 0.0217 memory: 13802 grad_norm: 0.1546 recall@thr=0.5: 0.8913 prec@thr=0.5: 0.9058 recall@top3: 0.9565 prec@top3: 0.6377 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0367 loss: 0.0367 2022/08/09 03:21:23 - mmengine - INFO - Epoch(train) [11][1020/2881] lr: 1.0000e-02 eta: 5:06:10 time: 0.6078 data_time: 0.0232 memory: 13802 grad_norm: 0.1608 recall@thr=0.5: 0.7357 prec@thr=0.5: 0.8452 recall@top3: 0.8250 prec@top3: 0.7500 recall@top5: 0.9643 prec@top5: 0.5357 loss_action_cls: 0.0325 loss: 0.0325 2022/08/09 03:21:36 - mmengine - INFO - Epoch(train) [11][1040/2881] lr: 1.0000e-02 eta: 5:05:56 time: 0.6338 data_time: 0.0247 memory: 13802 grad_norm: 0.1637 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.7464 recall@top3: 0.8913 prec@top3: 0.6522 recall@top5: 0.9565 prec@top5: 0.4087 loss_action_cls: 0.0359 loss: 0.0359 2022/08/09 03:21:49 - mmengine - INFO - Epoch(train) [11][1060/2881] lr: 1.0000e-02 eta: 5:05:43 time: 0.6304 data_time: 0.0219 memory: 13802 grad_norm: 0.1592 recall@thr=0.5: 0.7299 prec@thr=0.5: 0.8621 recall@top3: 0.7874 prec@top3: 0.6092 recall@top5: 0.9253 prec@top5: 0.4483 loss_action_cls: 0.0293 loss: 0.0293 2022/08/09 03:22:01 - mmengine - INFO - Epoch(train) [11][1080/2881] lr: 1.0000e-02 eta: 5:05:29 time: 0.6345 data_time: 0.0217 memory: 13802 grad_norm: 0.1564 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7333 recall@top3: 0.8667 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0348 loss: 0.0348 2022/08/09 03:22:13 - mmengine - INFO - Epoch(train) [11][1100/2881] lr: 1.0000e-02 eta: 5:05:15 time: 0.6066 data_time: 0.0243 memory: 13802 grad_norm: 0.1587 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8596 recall@top3: 0.9386 prec@top3: 0.6842 recall@top5: 0.9693 prec@top5: 0.4316 loss_action_cls: 0.0289 loss: 0.0289 2022/08/09 03:22:26 - mmengine - INFO - Epoch(train) [11][1120/2881] lr: 1.0000e-02 eta: 5:05:01 time: 0.6389 data_time: 0.0256 memory: 13802 grad_norm: 0.1649 recall@thr=0.5: 0.8465 prec@thr=0.5: 0.7675 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0322 loss: 0.0322 2022/08/09 03:22:39 - mmengine - INFO - Epoch(train) [11][1140/2881] lr: 1.0000e-02 eta: 5:04:47 time: 0.6388 data_time: 0.0259 memory: 13802 grad_norm: 0.1532 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8083 recall@top3: 0.7667 prec@top3: 0.6444 recall@top5: 0.9222 prec@top5: 0.4867 loss_action_cls: 0.0316 loss: 0.0316 2022/08/09 03:22:52 - mmengine - INFO - Epoch(train) [11][1160/2881] lr: 1.0000e-02 eta: 5:04:34 time: 0.6343 data_time: 0.0228 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.8933 prec@thr=0.5: 0.8433 recall@top3: 0.8967 prec@top3: 0.7467 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0310 loss: 0.0310 2022/08/09 03:23:04 - mmengine - INFO - Epoch(train) [11][1180/2881] lr: 1.0000e-02 eta: 5:04:20 time: 0.6311 data_time: 0.0209 memory: 13802 grad_norm: 0.1532 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8222 recall@top3: 0.9056 prec@top3: 0.6889 recall@top5: 0.9778 prec@top5: 0.4667 loss_action_cls: 0.0323 loss: 0.0323 2022/08/09 03:23:11 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 03:23:17 - mmengine - INFO - Epoch(train) [11][1200/2881] lr: 1.0000e-02 eta: 5:04:06 time: 0.6373 data_time: 0.0240 memory: 13802 grad_norm: 0.1569 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.7895 recall@top3: 0.8509 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4526 loss_action_cls: 0.0317 loss: 0.0317 2022/08/09 03:23:30 - mmengine - INFO - Epoch(train) [11][1220/2881] lr: 1.0000e-02 eta: 5:03:52 time: 0.6328 data_time: 0.0240 memory: 13802 grad_norm: 0.1597 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.8389 recall@top3: 0.7678 prec@top3: 0.7333 recall@top5: 0.9367 prec@top5: 0.5467 loss_action_cls: 0.0337 loss: 0.0337 2022/08/09 03:23:42 - mmengine - INFO - Epoch(train) [11][1240/2881] lr: 1.0000e-02 eta: 5:03:39 time: 0.6410 data_time: 0.0224 memory: 13802 grad_norm: 0.1562 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8278 recall@top3: 0.8222 prec@top3: 0.7333 recall@top5: 0.9778 prec@top5: 0.5333 loss_action_cls: 0.0349 loss: 0.0349 2022/08/09 03:23:55 - mmengine - INFO - Epoch(train) [11][1260/2881] lr: 1.0000e-02 eta: 5:03:25 time: 0.6318 data_time: 0.0227 memory: 13802 grad_norm: 0.1547 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6979 recall@top3: 0.8229 prec@top3: 0.6667 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.0335 loss: 0.0335 2022/08/09 03:24:08 - mmengine - INFO - Epoch(train) [11][1280/2881] lr: 1.0000e-02 eta: 5:03:11 time: 0.6309 data_time: 0.0212 memory: 13802 grad_norm: 0.1589 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8810 recall@top3: 0.8333 prec@top3: 0.6190 recall@top5: 0.9167 prec@top5: 0.4286 loss_action_cls: 0.0386 loss: 0.0386 2022/08/09 03:24:21 - mmengine - INFO - Epoch(train) [11][1300/2881] lr: 1.0000e-02 eta: 5:02:58 time: 0.6441 data_time: 0.0218 memory: 13802 grad_norm: 0.1565 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8696 recall@top3: 0.8587 prec@top3: 0.7246 recall@top5: 0.9457 prec@top5: 0.4783 loss_action_cls: 0.0348 loss: 0.0348 2022/08/09 03:24:33 - mmengine - INFO - Epoch(train) [11][1320/2881] lr: 1.0000e-02 eta: 5:02:44 time: 0.6285 data_time: 0.0219 memory: 13802 grad_norm: 0.1642 recall@thr=0.5: 0.8267 prec@thr=0.5: 0.7867 recall@top3: 0.9333 prec@top3: 0.6533 recall@top5: 1.0000 prec@top5: 0.4320 loss_action_cls: 0.0347 loss: 0.0347 2022/08/09 03:24:46 - mmengine - INFO - Epoch(train) [11][1340/2881] lr: 1.0000e-02 eta: 5:02:30 time: 0.6375 data_time: 0.0250 memory: 13802 grad_norm: 0.1560 recall@thr=0.5: 0.6525 prec@thr=0.5: 0.7368 recall@top3: 0.7485 prec@top3: 0.6078 recall@top5: 0.9093 prec@top5: 0.4706 loss_action_cls: 0.0324 loss: 0.0324 2022/08/09 03:24:59 - mmengine - INFO - Epoch(train) [11][1360/2881] lr: 1.0000e-02 eta: 5:02:17 time: 0.6421 data_time: 0.0229 memory: 13802 grad_norm: 0.1596 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.7917 recall@top3: 0.8594 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0350 loss: 0.0350 2022/08/09 03:25:11 - mmengine - INFO - Epoch(train) [11][1380/2881] lr: 1.0000e-02 eta: 5:02:03 time: 0.6321 data_time: 0.0193 memory: 13802 grad_norm: 0.1565 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8583 recall@top3: 0.8958 prec@top3: 0.8000 recall@top5: 0.9875 prec@top5: 0.5400 loss_action_cls: 0.0298 loss: 0.0298 2022/08/09 03:25:24 - mmengine - INFO - Epoch(train) [11][1400/2881] lr: 1.0000e-02 eta: 5:01:49 time: 0.6190 data_time: 0.0224 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.8400 recall@top3: 0.8500 prec@top3: 0.7467 recall@top5: 0.9267 prec@top5: 0.4960 loss_action_cls: 0.0361 loss: 0.0361 2022/08/09 03:25:37 - mmengine - INFO - Epoch(train) [11][1420/2881] lr: 1.0000e-02 eta: 5:01:36 time: 0.6605 data_time: 0.0227 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.9118 recall@top3: 0.9706 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0325 loss: 0.0325 2022/08/09 03:25:50 - mmengine - INFO - Epoch(train) [11][1440/2881] lr: 1.0000e-02 eta: 5:01:22 time: 0.6311 data_time: 0.0237 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7958 recall@top3: 0.8750 prec@top3: 0.7833 recall@top5: 0.9417 prec@top5: 0.5000 loss_action_cls: 0.0318 loss: 0.0318 2022/08/09 03:26:02 - mmengine - INFO - Epoch(train) [11][1460/2881] lr: 1.0000e-02 eta: 5:01:08 time: 0.6229 data_time: 0.0211 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.9706 prec@thr=0.5: 0.8676 recall@top3: 0.9706 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.3882 loss_action_cls: 0.0309 loss: 0.0309 2022/08/09 03:26:14 - mmengine - INFO - Epoch(train) [11][1480/2881] lr: 1.0000e-02 eta: 5:00:54 time: 0.6135 data_time: 0.0208 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.7280 prec@thr=0.5: 0.9226 recall@top3: 0.8887 prec@top3: 0.7738 recall@top5: 0.9738 prec@top5: 0.5357 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:26:27 - mmengine - INFO - Epoch(train) [11][1500/2881] lr: 1.0000e-02 eta: 5:00:41 time: 0.6337 data_time: 0.0233 memory: 13802 grad_norm: 0.1585 recall@thr=0.5: 0.7788 prec@thr=0.5: 0.9006 recall@top3: 0.8141 prec@top3: 0.7821 recall@top5: 0.9712 prec@top5: 0.5538 loss_action_cls: 0.0310 loss: 0.0310 2022/08/09 03:26:39 - mmengine - INFO - Epoch(train) [11][1520/2881] lr: 1.0000e-02 eta: 5:00:27 time: 0.6180 data_time: 0.0222 memory: 13802 grad_norm: 0.1595 recall@thr=0.5: 0.9015 prec@thr=0.5: 0.9015 recall@top3: 0.9167 prec@top3: 0.6515 recall@top5: 0.9773 prec@top5: 0.4364 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 03:26:52 - mmengine - INFO - Epoch(train) [11][1540/2881] lr: 1.0000e-02 eta: 5:00:13 time: 0.6316 data_time: 0.0277 memory: 13802 grad_norm: 0.1610 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8750 recall@top3: 0.8792 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0299 loss: 0.0299 2022/08/09 03:27:05 - mmengine - INFO - Epoch(train) [11][1560/2881] lr: 1.0000e-02 eta: 4:59:59 time: 0.6420 data_time: 0.0211 memory: 13802 grad_norm: 0.1566 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8182 recall@top3: 0.8447 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0313 loss: 0.0313 2022/08/09 03:27:18 - mmengine - INFO - Epoch(train) [11][1580/2881] lr: 1.0000e-02 eta: 4:59:46 time: 0.6375 data_time: 0.0261 memory: 13802 grad_norm: 0.1615 recall@thr=0.5: 0.8090 prec@thr=0.5: 0.9201 recall@top3: 0.9062 prec@top3: 0.8056 recall@top5: 0.9549 prec@top5: 0.5167 loss_action_cls: 0.0357 loss: 0.0357 2022/08/09 03:27:30 - mmengine - INFO - Epoch(train) [11][1600/2881] lr: 1.0000e-02 eta: 4:59:31 time: 0.6035 data_time: 0.0239 memory: 13802 grad_norm: 0.1640 recall@thr=0.5: 0.8944 prec@thr=0.5: 0.8889 recall@top3: 0.8889 prec@top3: 0.7111 recall@top5: 0.9833 prec@top5: 0.4933 loss_action_cls: 0.0348 loss: 0.0348 2022/08/09 03:27:43 - mmengine - INFO - Epoch(train) [11][1620/2881] lr: 1.0000e-02 eta: 4:59:18 time: 0.6406 data_time: 0.0226 memory: 13802 grad_norm: 0.1624 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4300 loss_action_cls: 0.0346 loss: 0.0346 2022/08/09 03:27:55 - mmengine - INFO - Epoch(train) [11][1640/2881] lr: 1.0000e-02 eta: 4:59:04 time: 0.6369 data_time: 0.0231 memory: 13802 grad_norm: 0.1612 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6458 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4625 loss_action_cls: 0.0318 loss: 0.0318 2022/08/09 03:28:08 - mmengine - INFO - Epoch(train) [11][1660/2881] lr: 1.0000e-02 eta: 4:58:50 time: 0.6287 data_time: 0.0223 memory: 13802 grad_norm: 0.1531 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8472 recall@top3: 1.0000 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0300 loss: 0.0300 2022/08/09 03:28:21 - mmengine - INFO - Epoch(train) [11][1680/2881] lr: 1.0000e-02 eta: 4:58:37 time: 0.6463 data_time: 0.0211 memory: 13802 grad_norm: 0.1650 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.9444 recall@top3: 0.8194 prec@top3: 0.7407 recall@top5: 0.9306 prec@top5: 0.5222 loss_action_cls: 0.0330 loss: 0.0330 2022/08/09 03:28:33 - mmengine - INFO - Epoch(train) [11][1700/2881] lr: 1.0000e-02 eta: 4:58:23 time: 0.6306 data_time: 0.0233 memory: 13802 grad_norm: 0.1587 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.8796 recall@top3: 0.8806 prec@top3: 0.8704 recall@top5: 0.9639 prec@top5: 0.5778 loss_action_cls: 0.0347 loss: 0.0347 2022/08/09 03:28:46 - mmengine - INFO - Epoch(train) [11][1720/2881] lr: 1.0000e-02 eta: 4:58:10 time: 0.6359 data_time: 0.0216 memory: 13802 grad_norm: 0.1597 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8712 recall@top3: 0.8561 prec@top3: 0.7121 recall@top5: 0.9545 prec@top5: 0.4727 loss_action_cls: 0.0361 loss: 0.0361 2022/08/09 03:28:59 - mmengine - INFO - Epoch(train) [11][1740/2881] lr: 1.0000e-02 eta: 4:57:56 time: 0.6399 data_time: 0.0217 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8917 recall@top3: 0.8917 prec@top3: 0.6500 recall@top5: 0.9417 prec@top5: 0.4200 loss_action_cls: 0.0346 loss: 0.0346 2022/08/09 03:29:11 - mmengine - INFO - Epoch(train) [11][1760/2881] lr: 1.0000e-02 eta: 4:57:42 time: 0.6285 data_time: 0.0216 memory: 13802 grad_norm: 0.1638 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.7899 recall@top3: 0.9058 prec@top3: 0.6232 recall@top5: 0.9710 prec@top5: 0.4261 loss_action_cls: 0.0319 loss: 0.0319 2022/08/09 03:29:24 - mmengine - INFO - Epoch(train) [11][1780/2881] lr: 1.0000e-02 eta: 4:57:28 time: 0.6141 data_time: 0.0252 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.6944 recall@top3: 0.8270 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4762 loss_action_cls: 0.0355 loss: 0.0355 2022/08/09 03:29:36 - mmengine - INFO - Epoch(train) [11][1800/2881] lr: 1.0000e-02 eta: 4:57:15 time: 0.6355 data_time: 0.0212 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7763 recall@top3: 0.8070 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4526 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:29:49 - mmengine - INFO - Epoch(train) [11][1820/2881] lr: 1.0000e-02 eta: 4:57:01 time: 0.6342 data_time: 0.0226 memory: 13802 grad_norm: 0.1593 recall@thr=0.5: 0.8203 prec@thr=0.5: 0.8974 recall@top3: 0.9115 prec@top3: 0.8021 recall@top5: 0.9635 prec@top5: 0.5187 loss_action_cls: 0.0325 loss: 0.0325 2022/08/09 03:30:02 - mmengine - INFO - Epoch(train) [11][1840/2881] lr: 1.0000e-02 eta: 4:56:47 time: 0.6338 data_time: 0.0218 memory: 13802 grad_norm: 0.1695 recall@thr=0.5: 0.7006 prec@thr=0.5: 0.8302 recall@top3: 0.7377 prec@top3: 0.7037 recall@top5: 0.9753 prec@top5: 0.5333 loss_action_cls: 0.0396 loss: 0.0396 2022/08/09 03:30:14 - mmengine - INFO - Epoch(train) [11][1860/2881] lr: 1.0000e-02 eta: 4:56:34 time: 0.6325 data_time: 0.0209 memory: 13802 grad_norm: 0.1626 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8196 recall@top3: 0.8676 prec@top3: 0.7647 recall@top5: 0.9412 prec@top5: 0.5176 loss_action_cls: 0.0365 loss: 0.0365 2022/08/09 03:30:27 - mmengine - INFO - Epoch(train) [11][1880/2881] lr: 1.0000e-02 eta: 4:56:20 time: 0.6406 data_time: 0.0242 memory: 13802 grad_norm: 0.1640 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8235 recall@top3: 0.8529 prec@top3: 0.5686 recall@top5: 0.9853 prec@top5: 0.3882 loss_action_cls: 0.0318 loss: 0.0318 2022/08/09 03:30:40 - mmengine - INFO - Epoch(train) [11][1900/2881] lr: 1.0000e-02 eta: 4:56:06 time: 0.6271 data_time: 0.0225 memory: 13802 grad_norm: 0.1561 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8454 recall@top3: 0.7306 prec@top3: 0.6389 recall@top5: 0.9194 prec@top5: 0.4889 loss_action_cls: 0.0320 loss: 0.0320 2022/08/09 03:30:52 - mmengine - INFO - Epoch(train) [11][1920/2881] lr: 1.0000e-02 eta: 4:55:52 time: 0.6134 data_time: 0.0226 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.7660 recall@top3: 0.8333 prec@top3: 0.6282 recall@top5: 0.9744 prec@top5: 0.4615 loss_action_cls: 0.0379 loss: 0.0379 2022/08/09 03:31:05 - mmengine - INFO - Epoch(train) [11][1940/2881] lr: 1.0000e-02 eta: 4:55:38 time: 0.6297 data_time: 0.0219 memory: 13802 grad_norm: 0.1550 recall@thr=0.5: 0.7233 prec@thr=0.5: 0.7600 recall@top3: 0.8000 prec@top3: 0.6533 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0347 loss: 0.0347 2022/08/09 03:31:17 - mmengine - INFO - Epoch(train) [11][1960/2881] lr: 1.0000e-02 eta: 4:55:25 time: 0.6334 data_time: 0.0285 memory: 13802 grad_norm: 0.1520 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.7982 recall@top3: 0.7982 prec@top3: 0.6842 recall@top5: 0.9298 prec@top5: 0.4737 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 03:31:29 - mmengine - INFO - Epoch(train) [11][1980/2881] lr: 1.0000e-02 eta: 4:55:11 time: 0.6048 data_time: 0.0238 memory: 13802 grad_norm: 0.1584 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.8768 recall@top3: 0.8768 prec@top3: 0.6377 recall@top5: 0.9529 prec@top5: 0.4174 loss_action_cls: 0.0338 loss: 0.0338 2022/08/09 03:31:42 - mmengine - INFO - Epoch(train) [11][2000/2881] lr: 1.0000e-02 eta: 4:54:57 time: 0.6260 data_time: 0.0213 memory: 13802 grad_norm: 0.1610 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.9491 recall@top3: 0.8889 prec@top3: 0.6111 recall@top5: 0.9722 prec@top5: 0.4111 loss_action_cls: 0.0328 loss: 0.0328 2022/08/09 03:31:54 - mmengine - INFO - Epoch(train) [11][2020/2881] lr: 1.0000e-02 eta: 4:54:43 time: 0.6058 data_time: 0.0230 memory: 13802 grad_norm: 0.1611 recall@thr=0.5: 0.8660 prec@thr=0.5: 0.9383 recall@top3: 0.8679 prec@top3: 0.7778 recall@top5: 0.9383 prec@top5: 0.5185 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:32:07 - mmengine - INFO - Epoch(train) [11][2040/2881] lr: 1.0000e-02 eta: 4:54:29 time: 0.6530 data_time: 0.0219 memory: 13802 grad_norm: 0.1669 recall@thr=0.5: 0.7328 prec@thr=0.5: 0.6887 recall@top3: 0.7721 prec@top3: 0.5196 recall@top5: 0.8897 prec@top5: 0.3647 loss_action_cls: 0.0340 loss: 0.0340 2022/08/09 03:32:20 - mmengine - INFO - Epoch(train) [11][2060/2881] lr: 1.0000e-02 eta: 4:54:16 time: 0.6306 data_time: 0.0219 memory: 13802 grad_norm: 0.1577 recall@thr=0.5: 0.7181 prec@thr=0.5: 0.6522 recall@top3: 0.7978 prec@top3: 0.5942 recall@top5: 0.8681 prec@top5: 0.4000 loss_action_cls: 0.0313 loss: 0.0313 2022/08/09 03:32:32 - mmengine - INFO - Epoch(train) [11][2080/2881] lr: 1.0000e-02 eta: 4:54:01 time: 0.6033 data_time: 0.0210 memory: 13802 grad_norm: 0.1595 recall@thr=0.5: 0.7862 prec@thr=0.5: 0.8152 recall@top3: 0.7717 prec@top3: 0.7101 recall@top5: 0.9710 prec@top5: 0.5652 loss_action_cls: 0.0361 loss: 0.0361 2022/08/09 03:32:45 - mmengine - INFO - Epoch(train) [11][2100/2881] lr: 1.0000e-02 eta: 4:53:48 time: 0.6346 data_time: 0.0223 memory: 13802 grad_norm: 0.1633 recall@thr=0.5: 0.4924 prec@thr=0.5: 0.7847 recall@top3: 0.6646 prec@top3: 0.6667 recall@top5: 0.8389 prec@top5: 0.5083 loss_action_cls: 0.0341 loss: 0.0341 2022/08/09 03:32:57 - mmengine - INFO - Epoch(train) [11][2120/2881] lr: 1.0000e-02 eta: 4:53:34 time: 0.6295 data_time: 0.0211 memory: 13802 grad_norm: 0.1620 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8519 recall@top3: 0.8352 prec@top3: 0.7901 recall@top5: 0.9685 prec@top5: 0.5407 loss_action_cls: 0.0309 loss: 0.0309 2022/08/09 03:33:10 - mmengine - INFO - Epoch(train) [11][2140/2881] lr: 1.0000e-02 eta: 4:53:20 time: 0.6341 data_time: 0.0254 memory: 13802 grad_norm: 0.1685 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8768 recall@top3: 0.9348 prec@top3: 0.6232 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0340 loss: 0.0340 2022/08/09 03:33:22 - mmengine - INFO - Epoch(train) [11][2160/2881] lr: 1.0000e-02 eta: 4:53:06 time: 0.6060 data_time: 0.0210 memory: 13802 grad_norm: 0.1692 recall@thr=0.5: 0.5507 prec@thr=0.5: 0.6014 recall@top3: 0.6341 prec@top3: 0.4638 recall@top5: 0.8696 prec@top5: 0.3652 loss_action_cls: 0.0331 loss: 0.0331 2022/08/09 03:33:35 - mmengine - INFO - Epoch(train) [11][2180/2881] lr: 1.0000e-02 eta: 4:52:53 time: 0.6315 data_time: 0.0266 memory: 13802 grad_norm: 0.1559 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.8810 recall@top3: 0.8889 prec@top3: 0.6508 recall@top5: 0.9683 prec@top5: 0.4286 loss_action_cls: 0.0322 loss: 0.0322 2022/08/09 03:33:41 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 03:33:47 - mmengine - INFO - Epoch(train) [11][2200/2881] lr: 1.0000e-02 eta: 4:52:39 time: 0.6363 data_time: 0.0220 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8750 recall@top3: 0.9236 prec@top3: 0.7917 recall@top5: 0.9896 prec@top5: 0.5167 loss_action_cls: 0.0320 loss: 0.0320 2022/08/09 03:33:59 - mmengine - INFO - Epoch(train) [11][2220/2881] lr: 1.0000e-02 eta: 4:52:25 time: 0.6052 data_time: 0.0204 memory: 13802 grad_norm: 0.1573 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7750 recall@top3: 0.8583 prec@top3: 0.6833 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0315 loss: 0.0315 2022/08/09 03:34:12 - mmengine - INFO - Epoch(train) [11][2240/2881] lr: 1.0000e-02 eta: 4:52:11 time: 0.6297 data_time: 0.0218 memory: 13802 grad_norm: 0.1583 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.7645 recall@top3: 0.8152 prec@top3: 0.6522 recall@top5: 0.9457 prec@top5: 0.4348 loss_action_cls: 0.0338 loss: 0.0338 2022/08/09 03:34:24 - mmengine - INFO - Epoch(train) [11][2260/2881] lr: 1.0000e-02 eta: 4:51:57 time: 0.6155 data_time: 0.0227 memory: 13802 grad_norm: 0.1614 recall@thr=0.5: 0.6738 prec@thr=0.5: 0.7500 recall@top3: 0.7821 prec@top3: 0.5476 recall@top5: 0.9024 prec@top5: 0.3929 loss_action_cls: 0.0317 loss: 0.0317 2022/08/09 03:34:37 - mmengine - INFO - Epoch(train) [11][2280/2881] lr: 1.0000e-02 eta: 4:51:43 time: 0.6163 data_time: 0.0217 memory: 13802 grad_norm: 0.1626 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.9167 recall@top3: 0.9130 prec@top3: 0.7536 recall@top5: 1.0000 prec@top5: 0.4957 loss_action_cls: 0.0316 loss: 0.0316 2022/08/09 03:34:49 - mmengine - INFO - Epoch(train) [11][2300/2881] lr: 1.0000e-02 eta: 4:51:30 time: 0.6334 data_time: 0.0264 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.7599 prec@thr=0.5: 0.8302 recall@top3: 0.8068 prec@top3: 0.6543 recall@top5: 0.9043 prec@top5: 0.4667 loss_action_cls: 0.0358 loss: 0.0358 2022/08/09 03:35:02 - mmengine - INFO - Epoch(train) [11][2320/2881] lr: 1.0000e-02 eta: 4:51:16 time: 0.6398 data_time: 0.0221 memory: 13802 grad_norm: 0.1670 recall@thr=0.5: 0.8114 prec@thr=0.5: 0.8254 recall@top3: 0.8026 prec@top3: 0.6491 recall@top5: 0.9430 prec@top5: 0.4947 loss_action_cls: 0.0360 loss: 0.0360 2022/08/09 03:35:14 - mmengine - INFO - Epoch(train) [11][2340/2881] lr: 1.0000e-02 eta: 4:51:02 time: 0.6101 data_time: 0.0223 memory: 13802 grad_norm: 0.1536 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.8194 prec@top3: 0.7500 recall@top5: 0.9549 prec@top5: 0.5500 loss_action_cls: 0.0330 loss: 0.0330 2022/08/09 03:35:27 - mmengine - INFO - Epoch(train) [11][2360/2881] lr: 1.0000e-02 eta: 4:50:48 time: 0.6297 data_time: 0.0218 memory: 13802 grad_norm: 0.1666 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.8182 recall@top3: 0.8523 prec@top3: 0.6515 recall@top5: 0.9432 prec@top5: 0.4455 loss_action_cls: 0.0315 loss: 0.0315 2022/08/09 03:35:40 - mmengine - INFO - Epoch(train) [11][2380/2881] lr: 1.0000e-02 eta: 4:50:35 time: 0.6317 data_time: 0.0208 memory: 13802 grad_norm: 0.1602 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7639 recall@top3: 0.8222 prec@top3: 0.5889 recall@top5: 0.9472 prec@top5: 0.4400 loss_action_cls: 0.0331 loss: 0.0331 2022/08/09 03:35:52 - mmengine - INFO - Epoch(train) [11][2400/2881] lr: 1.0000e-02 eta: 4:50:21 time: 0.6083 data_time: 0.0227 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.8103 prec@thr=0.5: 0.8937 recall@top3: 0.8707 prec@top3: 0.8391 recall@top5: 0.9540 prec@top5: 0.5586 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:36:11 - mmengine - INFO - Epoch(train) [11][2420/2881] lr: 1.0000e-02 eta: 4:50:12 time: 0.9575 data_time: 0.0298 memory: 13802 grad_norm: 0.1673 recall@thr=0.5: 0.9282 prec@thr=0.5: 0.9454 recall@top3: 0.8534 prec@top3: 0.8276 recall@top5: 0.9655 prec@top5: 0.5793 loss_action_cls: 0.0264 loss: 0.0264 2022/08/09 03:36:24 - mmengine - INFO - Epoch(train) [11][2440/2881] lr: 1.0000e-02 eta: 4:49:59 time: 0.6403 data_time: 0.0309 memory: 13802 grad_norm: 0.1697 recall@thr=0.5: 0.9412 prec@thr=0.5: 0.9412 recall@top3: 1.0000 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.3647 loss_action_cls: 0.0304 loss: 0.0304 2022/08/09 03:36:36 - mmengine - INFO - Epoch(train) [11][2460/2881] lr: 1.0000e-02 eta: 4:49:45 time: 0.6330 data_time: 0.0229 memory: 13802 grad_norm: 0.1629 recall@thr=0.5: 0.6732 prec@thr=0.5: 0.7899 recall@top3: 0.8196 prec@top3: 0.6957 recall@top5: 0.9167 prec@top5: 0.4870 loss_action_cls: 0.0344 loss: 0.0344 2022/08/09 03:36:49 - mmengine - INFO - Epoch(train) [11][2480/2881] lr: 1.0000e-02 eta: 4:49:32 time: 0.6271 data_time: 0.0229 memory: 13802 grad_norm: 0.1639 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8500 recall@top3: 0.8304 prec@top3: 0.7738 recall@top5: 0.9673 prec@top5: 0.5571 loss_action_cls: 0.0298 loss: 0.0298 2022/08/09 03:37:01 - mmengine - INFO - Epoch(train) [11][2500/2881] lr: 1.0000e-02 eta: 4:49:18 time: 0.6264 data_time: 0.0233 memory: 13802 grad_norm: 0.1676 recall@thr=0.5: 0.8833 prec@thr=0.5: 0.8967 recall@top3: 0.9100 prec@top3: 0.7200 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0320 loss: 0.0320 2022/08/09 03:37:14 - mmengine - INFO - Epoch(train) [11][2520/2881] lr: 1.0000e-02 eta: 4:49:04 time: 0.6281 data_time: 0.0225 memory: 13802 grad_norm: 0.1621 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.7708 recall@top3: 0.8542 prec@top3: 0.6146 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 03:37:27 - mmengine - INFO - Epoch(train) [11][2540/2881] lr: 1.0000e-02 eta: 4:48:51 time: 0.6373 data_time: 0.0215 memory: 13802 grad_norm: 0.1561 recall@thr=0.5: 0.8802 prec@thr=0.5: 1.0000 recall@top3: 0.9531 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0285 loss: 0.0285 2022/08/09 03:37:39 - mmengine - INFO - Epoch(train) [11][2560/2881] lr: 1.0000e-02 eta: 4:48:36 time: 0.6099 data_time: 0.0295 memory: 13802 grad_norm: 0.1682 recall@thr=0.5: 0.7060 prec@thr=0.5: 0.7533 recall@top3: 0.7973 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5440 loss_action_cls: 0.0343 loss: 0.0343 2022/08/09 03:37:52 - mmengine - INFO - Epoch(train) [11][2580/2881] lr: 1.0000e-02 eta: 4:48:23 time: 0.6284 data_time: 0.0221 memory: 13802 grad_norm: 0.1666 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8860 recall@top3: 0.9254 prec@top3: 0.8070 recall@top5: 0.9649 prec@top5: 0.5158 loss_action_cls: 0.0286 loss: 0.0286 2022/08/09 03:38:04 - mmengine - INFO - Epoch(train) [11][2600/2881] lr: 1.0000e-02 eta: 4:48:09 time: 0.6078 data_time: 0.0220 memory: 13802 grad_norm: 0.1701 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8185 recall@top3: 0.8819 prec@top3: 0.7130 recall@top5: 0.9907 prec@top5: 0.4889 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 03:38:16 - mmengine - INFO - Epoch(train) [11][2620/2881] lr: 1.0000e-02 eta: 4:47:55 time: 0.6311 data_time: 0.0223 memory: 13802 grad_norm: 0.1633 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8590 recall@top3: 0.8590 prec@top3: 0.6410 recall@top5: 0.9615 prec@top5: 0.4462 loss_action_cls: 0.0369 loss: 0.0369 2022/08/09 03:38:29 - mmengine - INFO - Epoch(train) [11][2640/2881] lr: 1.0000e-02 eta: 4:47:41 time: 0.6305 data_time: 0.0219 memory: 13802 grad_norm: 0.1693 recall@thr=0.5: 0.9130 prec@thr=0.5: 0.8913 recall@top3: 0.9710 prec@top3: 0.7246 recall@top5: 1.0000 prec@top5: 0.4522 loss_action_cls: 0.0339 loss: 0.0339 2022/08/09 03:38:41 - mmengine - INFO - Epoch(train) [11][2660/2881] lr: 1.0000e-02 eta: 4:47:28 time: 0.6275 data_time: 0.0206 memory: 13802 grad_norm: 0.1626 recall@thr=0.5: 0.7079 prec@thr=0.5: 0.8968 recall@top3: 0.8159 prec@top3: 0.6667 recall@top5: 0.9651 prec@top5: 0.4952 loss_action_cls: 0.0302 loss: 0.0302 2022/08/09 03:38:54 - mmengine - INFO - Epoch(train) [11][2680/2881] lr: 1.0000e-02 eta: 4:47:14 time: 0.6317 data_time: 0.0218 memory: 13802 grad_norm: 0.1650 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8235 recall@top3: 0.7892 prec@top3: 0.7255 recall@top5: 0.9461 prec@top5: 0.5412 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:39:07 - mmengine - INFO - Epoch(train) [11][2700/2881] lr: 1.0000e-02 eta: 4:47:00 time: 0.6285 data_time: 0.0204 memory: 13802 grad_norm: 0.1613 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0322 loss: 0.0322 2022/08/09 03:39:20 - mmengine - INFO - Epoch(train) [11][2720/2881] lr: 1.0000e-02 eta: 4:46:47 time: 0.6470 data_time: 0.0244 memory: 13802 grad_norm: 0.1563 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.8929 recall@top3: 0.8373 prec@top3: 0.7937 recall@top5: 1.0000 prec@top5: 0.5810 loss_action_cls: 0.0309 loss: 0.0309 2022/08/09 03:39:32 - mmengine - INFO - Epoch(train) [11][2740/2881] lr: 1.0000e-02 eta: 4:46:33 time: 0.6044 data_time: 0.0209 memory: 13802 grad_norm: 0.1704 recall@thr=0.5: 0.9386 prec@thr=0.5: 0.9561 recall@top3: 0.8860 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5684 loss_action_cls: 0.0358 loss: 0.0358 2022/08/09 03:39:44 - mmengine - INFO - Epoch(train) [11][2760/2881] lr: 1.0000e-02 eta: 4:46:19 time: 0.6276 data_time: 0.0232 memory: 13802 grad_norm: 0.1561 recall@thr=0.5: 0.8067 prec@thr=0.5: 0.8933 recall@top3: 0.8433 prec@top3: 0.6800 recall@top5: 0.9733 prec@top5: 0.4880 loss_action_cls: 0.0342 loss: 0.0342 2022/08/09 03:39:57 - mmengine - INFO - Epoch(train) [11][2780/2881] lr: 1.0000e-02 eta: 4:46:06 time: 0.6424 data_time: 0.0228 memory: 13802 grad_norm: 0.1691 recall@thr=0.5: 0.8413 prec@thr=0.5: 0.9048 recall@top3: 0.9127 prec@top3: 0.6984 recall@top5: 0.9603 prec@top5: 0.4476 loss_action_cls: 0.0323 loss: 0.0323 2022/08/09 03:40:10 - mmengine - INFO - Epoch(train) [11][2800/2881] lr: 1.0000e-02 eta: 4:45:52 time: 0.6291 data_time: 0.0219 memory: 13802 grad_norm: 0.1668 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.9118 recall@top3: 0.8627 prec@top3: 0.7451 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0314 loss: 0.0314 2022/08/09 03:40:22 - mmengine - INFO - Epoch(train) [11][2820/2881] lr: 1.0000e-02 eta: 4:45:38 time: 0.6320 data_time: 0.0217 memory: 13802 grad_norm: 0.1651 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6930 recall@top3: 0.7982 prec@top3: 0.7368 recall@top5: 0.9123 prec@top5: 0.5053 loss_action_cls: 0.0383 loss: 0.0383 2022/08/09 03:40:34 - mmengine - INFO - Epoch(train) [11][2840/2881] lr: 1.0000e-02 eta: 4:45:24 time: 0.6051 data_time: 0.0221 memory: 13802 grad_norm: 0.1636 recall@thr=0.5: 0.7793 prec@thr=0.5: 0.8391 recall@top3: 0.8259 prec@top3: 0.7471 recall@top5: 0.9661 prec@top5: 0.5172 loss_action_cls: 0.0342 loss: 0.0342 2022/08/09 03:40:47 - mmengine - INFO - Epoch(train) [11][2860/2881] lr: 1.0000e-02 eta: 4:45:11 time: 0.6359 data_time: 0.0213 memory: 13802 grad_norm: 0.1595 recall@thr=0.5: 0.8090 prec@thr=0.5: 0.8299 recall@top3: 0.8090 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.5250 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:40:59 - mmengine - INFO - Epoch(train) [11][2880/2881] lr: 1.0000e-02 eta: 4:44:56 time: 0.5995 data_time: 0.0221 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.8495 prec@thr=0.5: 0.9597 recall@top3: 0.9194 prec@top3: 0.8602 recall@top5: 0.9919 prec@top5: 0.5677 loss_action_cls: 0.0325 loss: 0.0325 2022/08/09 03:41:00 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 03:41:00 - mmengine - INFO - Epoch(train) [11][2881/2881] lr: 1.0000e-02 eta: 4:44:56 time: 0.5981 data_time: 0.0204 memory: 13802 grad_norm: 0.1628 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.7572 recall@top3: 0.7536 prec@top3: 0.6522 recall@top5: 0.9565 prec@top5: 0.4870 loss_action_cls: 0.0331 loss: 0.0331 2022/08/09 03:41:00 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/08/09 03:41:08 - mmengine - INFO - Epoch(val) [11][20/6282] eta: 0:07:09 time: 0.0685 data_time: 0.0240 memory: 721 2022/08/09 03:41:09 - mmengine - INFO - Epoch(val) [11][40/6282] eta: 0:05:12 time: 0.0501 data_time: 0.0043 memory: 721 2022/08/09 03:41:10 - mmengine - INFO - Epoch(val) [11][60/6282] eta: 0:05:13 time: 0.0504 data_time: 0.0048 memory: 721 2022/08/09 03:41:11 - mmengine - INFO - Epoch(val) [11][80/6282] eta: 0:05:17 time: 0.0512 data_time: 0.0039 memory: 721 2022/08/09 03:41:12 - mmengine - INFO - Epoch(val) [11][100/6282] eta: 0:07:49 time: 0.0759 data_time: 0.0048 memory: 721 2022/08/09 03:41:13 - mmengine - INFO - Epoch(val) [11][120/6282] eta: 0:06:12 time: 0.0604 data_time: 0.0047 memory: 806 2022/08/09 03:41:15 - mmengine - INFO - Epoch(val) [11][140/6282] eta: 0:06:29 time: 0.0634 data_time: 0.0045 memory: 806 2022/08/09 03:41:16 - mmengine - INFO - Epoch(val) [11][160/6282] eta: 0:07:02 time: 0.0690 data_time: 0.0053 memory: 806 2022/08/09 03:41:17 - mmengine - INFO - Epoch(val) [11][180/6282] eta: 0:07:00 time: 0.0690 data_time: 0.0058 memory: 806 2022/08/09 03:41:19 - mmengine - INFO - Epoch(val) [11][200/6282] eta: 0:07:12 time: 0.0711 data_time: 0.0063 memory: 806 2022/08/09 03:41:20 - mmengine - INFO - Epoch(val) [11][220/6282] eta: 0:06:01 time: 0.0596 data_time: 0.0047 memory: 736 2022/08/09 03:41:21 - mmengine - INFO - Epoch(val) [11][240/6282] eta: 0:05:40 time: 0.0564 data_time: 0.0047 memory: 736 2022/08/09 03:41:22 - mmengine - INFO - Epoch(val) [11][260/6282] eta: 0:05:54 time: 0.0589 data_time: 0.0069 memory: 736 2022/08/09 03:41:24 - mmengine - INFO - Epoch(val) [11][280/6282] eta: 0:07:53 time: 0.0788 data_time: 0.0046 memory: 736 2022/08/09 03:41:25 - mmengine - INFO - Epoch(val) [11][300/6282] eta: 0:06:27 time: 0.0648 data_time: 0.0049 memory: 806 2022/08/09 03:41:27 - mmengine - INFO - Epoch(val) [11][320/6282] eta: 0:07:40 time: 0.0772 data_time: 0.0129 memory: 806 2022/08/09 03:41:28 - mmengine - INFO - Epoch(val) [11][340/6282] eta: 0:07:44 time: 0.0782 data_time: 0.0159 memory: 806 2022/08/09 03:41:30 - mmengine - INFO - Epoch(val) [11][360/6282] eta: 0:07:51 time: 0.0795 data_time: 0.0145 memory: 806 2022/08/09 03:41:32 - mmengine - INFO - Epoch(val) [11][380/6282] eta: 0:07:37 time: 0.0776 data_time: 0.0123 memory: 806 2022/08/09 03:41:33 - mmengine - INFO - Epoch(val) [11][400/6282] eta: 0:06:25 time: 0.0655 data_time: 0.0085 memory: 806 2022/08/09 03:41:34 - mmengine - INFO - Epoch(val) [11][420/6282] eta: 0:05:46 time: 0.0591 data_time: 0.0064 memory: 741 2022/08/09 03:41:35 - mmengine - INFO - Epoch(val) [11][440/6282] eta: 0:05:30 time: 0.0566 data_time: 0.0064 memory: 741 2022/08/09 03:41:37 - mmengine - INFO - Epoch(val) [11][460/6282] eta: 0:07:37 time: 0.0786 data_time: 0.0049 memory: 741 2022/08/09 03:41:38 - mmengine - INFO - Epoch(val) [11][480/6282] eta: 0:05:29 time: 0.0568 data_time: 0.0049 memory: 741 2022/08/09 03:41:39 - mmengine - INFO - Epoch(val) [11][500/6282] eta: 0:05:17 time: 0.0548 data_time: 0.0046 memory: 741 2022/08/09 03:41:40 - mmengine - INFO - Epoch(val) [11][520/6282] eta: 0:04:51 time: 0.0506 data_time: 0.0041 memory: 736 2022/08/09 03:41:41 - mmengine - INFO - Epoch(val) [11][540/6282] eta: 0:04:55 time: 0.0515 data_time: 0.0041 memory: 736 2022/08/09 03:41:42 - mmengine - INFO - Epoch(val) [11][560/6282] eta: 0:04:57 time: 0.0521 data_time: 0.0039 memory: 736 2022/08/09 03:41:43 - mmengine - INFO - Epoch(val) [11][580/6282] eta: 0:05:16 time: 0.0556 data_time: 0.0055 memory: 736 2022/08/09 03:41:44 - mmengine - INFO - Epoch(val) [11][600/6282] eta: 0:05:16 time: 0.0557 data_time: 0.0061 memory: 736 2022/08/09 03:41:45 - mmengine - INFO - Epoch(val) [11][620/6282] eta: 0:04:57 time: 0.0525 data_time: 0.0044 memory: 736 2022/08/09 03:41:47 - mmengine - INFO - Epoch(val) [11][640/6282] eta: 0:04:59 time: 0.0530 data_time: 0.0042 memory: 733 2022/08/09 03:41:48 - mmengine - INFO - Epoch(val) [11][660/6282] eta: 0:04:54 time: 0.0524 data_time: 0.0040 memory: 733 2022/08/09 03:41:49 - mmengine - INFO - Epoch(val) [11][680/6282] eta: 0:04:47 time: 0.0514 data_time: 0.0052 memory: 733 2022/08/09 03:41:50 - mmengine - INFO - Epoch(val) [11][700/6282] eta: 0:04:22 time: 0.0470 data_time: 0.0033 memory: 733 2022/08/09 03:41:52 - mmengine - INFO - Epoch(val) [11][720/6282] eta: 0:11:43 time: 0.1264 data_time: 0.0718 memory: 806 2022/08/09 03:41:56 - mmengine - INFO - Epoch(val) [11][740/6282] eta: 0:17:30 time: 0.1896 data_time: 0.1307 memory: 806 2022/08/09 03:41:59 - mmengine - INFO - Epoch(val) [11][760/6282] eta: 0:13:50 time: 0.1505 data_time: 0.0495 memory: 806 2022/08/09 03:42:03 - mmengine - INFO - Epoch(val) [11][780/6282] eta: 0:16:30 time: 0.1800 data_time: 0.1154 memory: 806 2022/08/09 03:42:05 - mmengine - INFO - Epoch(val) [11][800/6282] eta: 0:11:17 time: 0.1237 data_time: 0.0602 memory: 806 2022/08/09 03:42:07 - mmengine - INFO - Epoch(val) [11][820/6282] eta: 0:09:24 time: 0.1033 data_time: 0.0457 memory: 806 2022/08/09 03:42:08 - mmengine - INFO - Epoch(val) [11][840/6282] eta: 0:04:56 time: 0.0545 data_time: 0.0042 memory: 736 2022/08/09 03:42:09 - mmengine - INFO - Epoch(val) [11][860/6282] eta: 0:05:02 time: 0.0558 data_time: 0.0049 memory: 736 2022/08/09 03:42:10 - mmengine - INFO - Epoch(val) [11][880/6282] eta: 0:05:06 time: 0.0567 data_time: 0.0054 memory: 736 2022/08/09 03:42:12 - mmengine - INFO - Epoch(val) [11][900/6282] eta: 0:05:02 time: 0.0562 data_time: 0.0048 memory: 736 2022/08/09 03:42:13 - mmengine - INFO - Epoch(val) [11][920/6282] eta: 0:05:12 time: 0.0584 data_time: 0.0051 memory: 736 2022/08/09 03:42:14 - mmengine - INFO - Epoch(val) [11][940/6282] eta: 0:04:33 time: 0.0513 data_time: 0.0047 memory: 721 2022/08/09 03:42:15 - mmengine - INFO - Epoch(val) [11][960/6282] eta: 0:04:45 time: 0.0537 data_time: 0.0048 memory: 721 2022/08/09 03:42:16 - mmengine - INFO - Epoch(val) [11][980/6282] eta: 0:04:49 time: 0.0546 data_time: 0.0055 memory: 721 2022/08/09 03:42:18 - mmengine - INFO - Epoch(val) [11][1000/6282] eta: 0:07:25 time: 0.0844 data_time: 0.0058 memory: 721 2022/08/09 03:42:19 - mmengine - INFO - Epoch(val) [11][1020/6282] eta: 0:04:52 time: 0.0557 data_time: 0.0062 memory: 736 2022/08/09 03:42:20 - mmengine - INFO - Epoch(val) [11][1040/6282] eta: 0:05:02 time: 0.0577 data_time: 0.0044 memory: 736 2022/08/09 03:42:21 - mmengine - INFO - Epoch(val) [11][1060/6282] eta: 0:04:57 time: 0.0570 data_time: 0.0053 memory: 736 2022/08/09 03:42:22 - mmengine - INFO - Epoch(val) [11][1080/6282] eta: 0:04:49 time: 0.0556 data_time: 0.0048 memory: 736 2022/08/09 03:42:23 - mmengine - INFO - Epoch(val) [11][1100/6282] eta: 0:05:00 time: 0.0579 data_time: 0.0048 memory: 736 2022/08/09 03:42:25 - mmengine - INFO - Epoch(val) [11][1120/6282] eta: 0:05:14 time: 0.0610 data_time: 0.0056 memory: 736 2022/08/09 03:42:26 - mmengine - INFO - Epoch(val) [11][1140/6282] eta: 0:04:26 time: 0.0518 data_time: 0.0047 memory: 736 2022/08/09 03:42:27 - mmengine - INFO - Epoch(val) [11][1160/6282] eta: 0:04:32 time: 0.0533 data_time: 0.0052 memory: 736 2022/08/09 03:42:28 - mmengine - INFO - Epoch(val) [11][1180/6282] eta: 0:06:38 time: 0.0782 data_time: 0.0043 memory: 736 2022/08/09 03:42:29 - mmengine - INFO - Epoch(val) [11][1200/6282] eta: 0:04:20 time: 0.0514 data_time: 0.0044 memory: 736 2022/08/09 03:42:30 - mmengine - INFO - Epoch(val) [11][1220/6282] eta: 0:04:26 time: 0.0526 data_time: 0.0052 memory: 736 2022/08/09 03:42:34 - mmengine - INFO - Epoch(val) [11][1240/6282] eta: 0:13:54 time: 0.1655 data_time: 0.1070 memory: 806 2022/08/09 03:42:37 - mmengine - INFO - Epoch(val) [11][1260/6282] eta: 0:12:17 time: 0.1468 data_time: 0.0819 memory: 806 2022/08/09 03:42:40 - mmengine - INFO - Epoch(val) [11][1280/6282] eta: 0:14:36 time: 0.1753 data_time: 0.1137 memory: 806 2022/08/09 03:42:43 - mmengine - INFO - Epoch(val) [11][1300/6282] eta: 0:12:52 time: 0.1550 data_time: 0.0970 memory: 806 2022/08/09 03:42:47 - mmengine - INFO - Epoch(val) [11][1320/6282] eta: 0:14:46 time: 0.1787 data_time: 0.0971 memory: 806 2022/08/09 03:42:50 - mmengine - INFO - Epoch(val) [11][1340/6282] eta: 0:12:10 time: 0.1477 data_time: 0.0861 memory: 806 2022/08/09 03:42:53 - mmengine - INFO - Epoch(val) [11][1360/6282] eta: 0:14:41 time: 0.1791 data_time: 0.1234 memory: 806 2022/08/09 03:42:56 - mmengine - INFO - Epoch(val) [11][1380/6282] eta: 0:11:09 time: 0.1366 data_time: 0.0764 memory: 806 2022/08/09 03:42:59 - mmengine - INFO - Epoch(val) [11][1400/6282] eta: 0:12:10 time: 0.1497 data_time: 0.0901 memory: 806 2022/08/09 03:43:02 - mmengine - INFO - Epoch(val) [11][1420/6282] eta: 0:10:01 time: 0.1237 data_time: 0.0615 memory: 806 2022/08/09 03:43:04 - mmengine - INFO - Epoch(val) [11][1440/6282] eta: 0:07:53 time: 0.0979 data_time: 0.0353 memory: 806 2022/08/09 03:43:05 - mmengine - INFO - Epoch(val) [11][1460/6282] eta: 0:05:21 time: 0.0667 data_time: 0.0055 memory: 806 2022/08/09 03:43:07 - mmengine - INFO - Epoch(val) [11][1480/6282] eta: 0:06:49 time: 0.0854 data_time: 0.0051 memory: 806 2022/08/09 03:43:08 - mmengine - INFO - Epoch(val) [11][1500/6282] eta: 0:05:17 time: 0.0663 data_time: 0.0065 memory: 806 2022/08/09 03:43:09 - mmengine - INFO - Epoch(val) [11][1520/6282] eta: 0:05:23 time: 0.0679 data_time: 0.0051 memory: 909 2022/08/09 03:43:11 - mmengine - INFO - Epoch(val) [11][1540/6282] eta: 0:06:02 time: 0.0764 data_time: 0.0057 memory: 909 2022/08/09 03:43:12 - mmengine - INFO - Epoch(val) [11][1560/6282] eta: 0:06:00 time: 0.0764 data_time: 0.0047 memory: 909 2022/08/09 03:43:14 - mmengine - INFO - Epoch(val) [11][1580/6282] eta: 0:06:17 time: 0.0802 data_time: 0.0058 memory: 909 2022/08/09 03:43:16 - mmengine - INFO - Epoch(val) [11][1600/6282] eta: 0:06:13 time: 0.0798 data_time: 0.0059 memory: 909 2022/08/09 03:43:17 - mmengine - INFO - Epoch(val) [11][1620/6282] eta: 0:06:19 time: 0.0815 data_time: 0.0067 memory: 909 2022/08/09 03:43:18 - mmengine - INFO - Epoch(val) [11][1640/6282] eta: 0:04:27 time: 0.0577 data_time: 0.0038 memory: 806 2022/08/09 03:43:20 - mmengine - INFO - Epoch(val) [11][1660/6282] eta: 0:04:39 time: 0.0606 data_time: 0.0045 memory: 806 2022/08/09 03:43:21 - mmengine - INFO - Epoch(val) [11][1680/6282] eta: 0:04:38 time: 0.0606 data_time: 0.0042 memory: 806 2022/08/09 03:43:22 - mmengine - INFO - Epoch(val) [11][1700/6282] eta: 0:04:28 time: 0.0587 data_time: 0.0038 memory: 806 2022/08/09 03:43:23 - mmengine - INFO - Epoch(val) [11][1720/6282] eta: 0:04:54 time: 0.0645 data_time: 0.0054 memory: 806 2022/08/09 03:43:25 - mmengine - INFO - Epoch(val) [11][1740/6282] eta: 0:05:10 time: 0.0683 data_time: 0.0072 memory: 806 2022/08/09 03:43:27 - mmengine - INFO - Epoch(val) [11][1760/6282] eta: 0:06:40 time: 0.0886 data_time: 0.0057 memory: 806 2022/08/09 03:43:28 - mmengine - INFO - Epoch(val) [11][1780/6282] eta: 0:05:12 time: 0.0695 data_time: 0.0059 memory: 806 2022/08/09 03:43:29 - mmengine - INFO - Epoch(val) [11][1800/6282] eta: 0:04:43 time: 0.0632 data_time: 0.0041 memory: 806 2022/08/09 03:43:30 - mmengine - INFO - Epoch(val) [11][1820/6282] eta: 0:04:33 time: 0.0613 data_time: 0.0042 memory: 806 2022/08/09 03:43:32 - mmengine - INFO - Epoch(val) [11][1840/6282] eta: 0:06:20 time: 0.0856 data_time: 0.0261 memory: 806 2022/08/09 03:43:36 - mmengine - INFO - Epoch(val) [11][1860/6282] eta: 0:13:03 time: 0.1772 data_time: 0.1188 memory: 806 2022/08/09 03:43:39 - mmengine - INFO - Epoch(val) [11][1880/6282] eta: 0:10:15 time: 0.1399 data_time: 0.0805 memory: 806 2022/08/09 03:43:42 - mmengine - INFO - Epoch(val) [11][1900/6282] eta: 0:11:41 time: 0.1601 data_time: 0.1009 memory: 806 2022/08/09 03:43:44 - mmengine - INFO - Epoch(val) [11][1920/6282] eta: 0:08:34 time: 0.1180 data_time: 0.0556 memory: 806 2022/08/09 03:43:47 - mmengine - INFO - Epoch(val) [11][1940/6282] eta: 0:10:36 time: 0.1466 data_time: 0.0610 memory: 806 2022/08/09 03:43:48 - mmengine - INFO - Epoch(val) [11][1960/6282] eta: 0:04:02 time: 0.0562 data_time: 0.0059 memory: 741 2022/08/09 03:43:49 - mmengine - INFO - Epoch(val) [11][1980/6282] eta: 0:04:01 time: 0.0561 data_time: 0.0055 memory: 741 2022/08/09 03:43:50 - mmengine - INFO - Epoch(val) [11][2000/6282] eta: 0:03:57 time: 0.0555 data_time: 0.0046 memory: 741 2022/08/09 03:43:52 - mmengine - INFO - Epoch(val) [11][2020/6282] eta: 0:04:00 time: 0.0565 data_time: 0.0052 memory: 741 2022/08/09 03:43:53 - mmengine - INFO - Epoch(val) [11][2040/6282] eta: 0:04:00 time: 0.0566 data_time: 0.0053 memory: 741 2022/08/09 03:43:54 - mmengine - INFO - Epoch(val) [11][2060/6282] eta: 0:03:57 time: 0.0562 data_time: 0.0050 memory: 741 2022/08/09 03:43:55 - mmengine - INFO - Epoch(val) [11][2080/6282] eta: 0:03:57 time: 0.0565 data_time: 0.0045 memory: 741 2022/08/09 03:43:56 - mmengine - INFO - Epoch(val) [11][2100/6282] eta: 0:04:37 time: 0.0665 data_time: 0.0095 memory: 741 2022/08/09 03:43:58 - mmengine - INFO - Epoch(val) [11][2120/6282] eta: 0:04:00 time: 0.0577 data_time: 0.0061 memory: 741 2022/08/09 03:43:59 - mmengine - INFO - Epoch(val) [11][2140/6282] eta: 0:03:56 time: 0.0572 data_time: 0.0047 memory: 741 2022/08/09 03:44:00 - mmengine - INFO - Epoch(val) [11][2160/6282] eta: 0:03:57 time: 0.0576 data_time: 0.0044 memory: 736 2022/08/09 03:44:01 - mmengine - INFO - Epoch(val) [11][2180/6282] eta: 0:03:48 time: 0.0558 data_time: 0.0049 memory: 736 2022/08/09 03:44:02 - mmengine - INFO - Epoch(val) [11][2200/6282] eta: 0:03:47 time: 0.0557 data_time: 0.0061 memory: 736 2022/08/09 03:44:03 - mmengine - INFO - Epoch(val) [11][2220/6282] eta: 0:03:49 time: 0.0564 data_time: 0.0064 memory: 736 2022/08/09 03:44:04 - mmengine - INFO - Epoch(val) [11][2240/6282] eta: 0:03:40 time: 0.0544 data_time: 0.0041 memory: 736 2022/08/09 03:44:05 - mmengine - INFO - Epoch(val) [11][2260/6282] eta: 0:03:41 time: 0.0550 data_time: 0.0057 memory: 741 2022/08/09 03:44:07 - mmengine - INFO - Epoch(val) [11][2280/6282] eta: 0:05:25 time: 0.0813 data_time: 0.0045 memory: 741 2022/08/09 03:44:08 - mmengine - INFO - Epoch(val) [11][2300/6282] eta: 0:03:42 time: 0.0558 data_time: 0.0050 memory: 741 2022/08/09 03:44:09 - mmengine - INFO - Epoch(val) [11][2320/6282] eta: 0:03:58 time: 0.0603 data_time: 0.0056 memory: 741 2022/08/09 03:44:11 - mmengine - INFO - Epoch(val) [11][2340/6282] eta: 0:03:49 time: 0.0582 data_time: 0.0057 memory: 741 2022/08/09 03:44:12 - mmengine - INFO - Epoch(val) [11][2360/6282] eta: 0:03:39 time: 0.0560 data_time: 0.0044 memory: 736 2022/08/09 03:44:13 - mmengine - INFO - Epoch(val) [11][2380/6282] eta: 0:03:42 time: 0.0571 data_time: 0.0049 memory: 736 2022/08/09 03:44:14 - mmengine - INFO - Epoch(val) [11][2400/6282] eta: 0:03:38 time: 0.0562 data_time: 0.0052 memory: 736 2022/08/09 03:44:15 - mmengine - INFO - Epoch(val) [11][2420/6282] eta: 0:03:43 time: 0.0578 data_time: 0.0040 memory: 736 2022/08/09 03:44:16 - mmengine - INFO - Epoch(val) [11][2440/6282] eta: 0:03:35 time: 0.0560 data_time: 0.0049 memory: 736 2022/08/09 03:44:18 - mmengine - INFO - Epoch(val) [11][2460/6282] eta: 0:05:16 time: 0.0828 data_time: 0.0194 memory: 806 2022/08/09 03:44:20 - mmengine - INFO - Epoch(val) [11][2480/6282] eta: 0:05:23 time: 0.0851 data_time: 0.0269 memory: 806 2022/08/09 03:44:21 - mmengine - INFO - Epoch(val) [11][2500/6282] eta: 0:05:13 time: 0.0830 data_time: 0.0225 memory: 806 2022/08/09 03:44:23 - mmengine - INFO - Epoch(val) [11][2520/6282] eta: 0:05:20 time: 0.0853 data_time: 0.0256 memory: 806 2022/08/09 03:44:26 - mmengine - INFO - Epoch(val) [11][2540/6282] eta: 0:07:41 time: 0.1234 data_time: 0.0667 memory: 806 2022/08/09 03:44:28 - mmengine - INFO - Epoch(val) [11][2560/6282] eta: 0:09:01 time: 0.1455 data_time: 0.0762 memory: 806 2022/08/09 03:44:32 - mmengine - INFO - Epoch(val) [11][2580/6282] eta: 0:11:19 time: 0.1836 data_time: 0.1249 memory: 806 2022/08/09 03:44:35 - mmengine - INFO - Epoch(val) [11][2600/6282] eta: 0:08:50 time: 0.1442 data_time: 0.0818 memory: 806 2022/08/09 03:44:38 - mmengine - INFO - Epoch(val) [11][2620/6282] eta: 0:09:39 time: 0.1581 data_time: 0.0734 memory: 806 2022/08/09 03:44:41 - mmengine - INFO - Epoch(val) [11][2640/6282] eta: 0:07:38 time: 0.1259 data_time: 0.0642 memory: 806 2022/08/09 03:44:42 - mmengine - INFO - Epoch(val) [11][2660/6282] eta: 0:04:30 time: 0.0746 data_time: 0.0058 memory: 899 2022/08/09 03:44:44 - mmengine - INFO - Epoch(val) [11][2680/6282] eta: 0:04:58 time: 0.0827 data_time: 0.0094 memory: 899 2022/08/09 03:44:46 - mmengine - INFO - Epoch(val) [11][2700/6282] eta: 0:04:53 time: 0.0820 data_time: 0.0067 memory: 899 2022/08/09 03:44:47 - mmengine - INFO - Epoch(val) [11][2720/6282] eta: 0:05:14 time: 0.0883 data_time: 0.0067 memory: 899 2022/08/09 03:44:49 - mmengine - INFO - Epoch(val) [11][2740/6282] eta: 0:04:48 time: 0.0814 data_time: 0.0064 memory: 899 2022/08/09 03:44:51 - mmengine - INFO - Epoch(val) [11][2760/6282] eta: 0:05:01 time: 0.0855 data_time: 0.0062 memory: 741 2022/08/09 03:44:52 - mmengine - INFO - Epoch(val) [11][2780/6282] eta: 0:03:39 time: 0.0627 data_time: 0.0052 memory: 741 2022/08/09 03:44:53 - mmengine - INFO - Epoch(val) [11][2800/6282] eta: 0:03:20 time: 0.0576 data_time: 0.0057 memory: 741 2022/08/09 03:44:54 - mmengine - INFO - Epoch(val) [11][2820/6282] eta: 0:03:06 time: 0.0538 data_time: 0.0034 memory: 741 2022/08/09 03:44:55 - mmengine - INFO - Epoch(val) [11][2840/6282] eta: 0:02:55 time: 0.0511 data_time: 0.0046 memory: 741 2022/08/09 03:44:56 - mmengine - INFO - Epoch(val) [11][2860/6282] eta: 0:03:25 time: 0.0601 data_time: 0.0050 memory: 806 2022/08/09 03:44:58 - mmengine - INFO - Epoch(val) [11][2880/6282] eta: 0:03:39 time: 0.0646 data_time: 0.0047 memory: 806 2022/08/09 03:44:59 - mmengine - INFO - Epoch(val) [11][2900/6282] eta: 0:03:31 time: 0.0625 data_time: 0.0054 memory: 806 2022/08/09 03:45:00 - mmengine - INFO - Epoch(val) [11][2920/6282] eta: 0:03:10 time: 0.0567 data_time: 0.0037 memory: 806 2022/08/09 03:45:01 - mmengine - INFO - Epoch(val) [11][2940/6282] eta: 0:02:55 time: 0.0525 data_time: 0.0039 memory: 769 2022/08/09 03:45:03 - mmengine - INFO - Epoch(val) [11][2960/6282] eta: 0:04:58 time: 0.0899 data_time: 0.0041 memory: 769 2022/08/09 03:45:04 - mmengine - INFO - Epoch(val) [11][2980/6282] eta: 0:02:55 time: 0.0531 data_time: 0.0038 memory: 769 2022/08/09 03:45:05 - mmengine - INFO - Epoch(val) [11][3000/6282] eta: 0:03:03 time: 0.0560 data_time: 0.0039 memory: 769 2022/08/09 03:45:07 - mmengine - INFO - Epoch(val) [11][3020/6282] eta: 0:03:31 time: 0.0649 data_time: 0.0042 memory: 806 2022/08/09 03:45:08 - mmengine - INFO - Epoch(val) [11][3040/6282] eta: 0:03:33 time: 0.0659 data_time: 0.0053 memory: 806 2022/08/09 03:45:09 - mmengine - INFO - Epoch(val) [11][3060/6282] eta: 0:03:36 time: 0.0672 data_time: 0.0052 memory: 806 2022/08/09 03:45:11 - mmengine - INFO - Epoch(val) [11][3080/6282] eta: 0:03:41 time: 0.0692 data_time: 0.0057 memory: 806 2022/08/09 03:45:12 - mmengine - INFO - Epoch(val) [11][3100/6282] eta: 0:03:34 time: 0.0674 data_time: 0.0080 memory: 806 2022/08/09 03:45:13 - mmengine - INFO - Epoch(val) [11][3120/6282] eta: 0:03:11 time: 0.0607 data_time: 0.0064 memory: 741 2022/08/09 03:45:14 - mmengine - INFO - Epoch(val) [11][3140/6282] eta: 0:02:59 time: 0.0571 data_time: 0.0064 memory: 741 2022/08/09 03:45:16 - mmengine - INFO - Epoch(val) [11][3160/6282] eta: 0:03:08 time: 0.0604 data_time: 0.0044 memory: 741 2022/08/09 03:45:17 - mmengine - INFO - Epoch(val) [11][3180/6282] eta: 0:04:20 time: 0.0840 data_time: 0.0063 memory: 741 2022/08/09 03:45:19 - mmengine - INFO - Epoch(val) [11][3200/6282] eta: 0:03:22 time: 0.0657 data_time: 0.0059 memory: 806 2022/08/09 03:45:20 - mmengine - INFO - Epoch(val) [11][3220/6282] eta: 0:03:18 time: 0.0648 data_time: 0.0050 memory: 806 2022/08/09 03:45:21 - mmengine - INFO - Epoch(val) [11][3240/6282] eta: 0:03:19 time: 0.0655 data_time: 0.0066 memory: 806 2022/08/09 03:45:23 - mmengine - INFO - Epoch(val) [11][3260/6282] eta: 0:03:10 time: 0.0630 data_time: 0.0053 memory: 806 2022/08/09 03:45:24 - mmengine - INFO - Epoch(val) [11][3280/6282] eta: 0:03:12 time: 0.0641 data_time: 0.0046 memory: 806 2022/08/09 03:45:25 - mmengine - INFO - Epoch(val) [11][3300/6282] eta: 0:03:04 time: 0.0618 data_time: 0.0049 memory: 806 2022/08/09 03:45:26 - mmengine - INFO - Epoch(val) [11][3320/6282] eta: 0:03:16 time: 0.0662 data_time: 0.0049 memory: 806 2022/08/09 03:45:28 - mmengine - INFO - Epoch(val) [11][3340/6282] eta: 0:03:19 time: 0.0679 data_time: 0.0051 memory: 806 2022/08/09 03:45:29 - mmengine - INFO - Epoch(val) [11][3360/6282] eta: 0:03:02 time: 0.0624 data_time: 0.0048 memory: 806 2022/08/09 03:45:30 - mmengine - INFO - Epoch(val) [11][3380/6282] eta: 0:02:52 time: 0.0594 data_time: 0.0046 memory: 806 2022/08/09 03:45:31 - mmengine - INFO - Epoch(val) [11][3400/6282] eta: 0:02:28 time: 0.0516 data_time: 0.0044 memory: 736 2022/08/09 03:45:32 - mmengine - INFO - Epoch(val) [11][3420/6282] eta: 0:02:27 time: 0.0516 data_time: 0.0050 memory: 736 2022/08/09 03:45:33 - mmengine - INFO - Epoch(val) [11][3440/6282] eta: 0:02:23 time: 0.0506 data_time: 0.0039 memory: 736 2022/08/09 03:45:34 - mmengine - INFO - Epoch(val) [11][3460/6282] eta: 0:02:30 time: 0.0532 data_time: 0.0045 memory: 736 2022/08/09 03:45:35 - mmengine - INFO - Epoch(val) [11][3480/6282] eta: 0:02:20 time: 0.0500 data_time: 0.0031 memory: 736 2022/08/09 03:45:36 - mmengine - INFO - Epoch(val) [11][3500/6282] eta: 0:02:31 time: 0.0544 data_time: 0.0042 memory: 736 2022/08/09 03:45:38 - mmengine - INFO - Epoch(val) [11][3520/6282] eta: 0:02:25 time: 0.0528 data_time: 0.0039 memory: 736 2022/08/09 03:45:39 - mmengine - INFO - Epoch(val) [11][3540/6282] eta: 0:02:20 time: 0.0512 data_time: 0.0040 memory: 736 2022/08/09 03:45:40 - mmengine - INFO - Epoch(val) [11][3560/6282] eta: 0:02:27 time: 0.0542 data_time: 0.0042 memory: 736 2022/08/09 03:45:41 - mmengine - INFO - Epoch(val) [11][3580/6282] eta: 0:02:44 time: 0.0608 data_time: 0.0054 memory: 786 2022/08/09 03:45:42 - mmengine - INFO - Epoch(val) [11][3600/6282] eta: 0:02:57 time: 0.0663 data_time: 0.0058 memory: 786 2022/08/09 03:45:44 - mmengine - INFO - Epoch(val) [11][3620/6282] eta: 0:02:50 time: 0.0641 data_time: 0.0063 memory: 786 2022/08/09 03:45:45 - mmengine - INFO - Epoch(val) [11][3640/6282] eta: 0:02:44 time: 0.0624 data_time: 0.0068 memory: 786 2022/08/09 03:45:46 - mmengine - INFO - Epoch(val) [11][3660/6282] eta: 0:02:38 time: 0.0604 data_time: 0.0049 memory: 786 2022/08/09 03:45:47 - mmengine - INFO - Epoch(val) [11][3680/6282] eta: 0:02:48 time: 0.0649 data_time: 0.0039 memory: 806 2022/08/09 03:45:49 - mmengine - INFO - Epoch(val) [11][3700/6282] eta: 0:03:54 time: 0.0906 data_time: 0.0297 memory: 806 2022/08/09 03:45:51 - mmengine - INFO - Epoch(val) [11][3720/6282] eta: 0:03:25 time: 0.0801 data_time: 0.0180 memory: 806 2022/08/09 03:45:53 - mmengine - INFO - Epoch(val) [11][3740/6282] eta: 0:03:57 time: 0.0934 data_time: 0.0293 memory: 806 2022/08/09 03:45:54 - mmengine - INFO - Epoch(val) [11][3760/6282] eta: 0:03:34 time: 0.0849 data_time: 0.0231 memory: 806 2022/08/09 03:45:56 - mmengine - INFO - Epoch(val) [11][3780/6282] eta: 0:03:37 time: 0.0868 data_time: 0.0240 memory: 806 2022/08/09 03:45:58 - mmengine - INFO - Epoch(val) [11][3800/6282] eta: 0:04:02 time: 0.0978 data_time: 0.0199 memory: 806 2022/08/09 03:46:00 - mmengine - INFO - Epoch(val) [11][3820/6282] eta: 0:03:51 time: 0.0940 data_time: 0.0323 memory: 806 2022/08/09 03:46:02 - mmengine - INFO - Epoch(val) [11][3840/6282] eta: 0:03:18 time: 0.0812 data_time: 0.0174 memory: 806 2022/08/09 03:46:03 - mmengine - INFO - Epoch(val) [11][3860/6282] eta: 0:03:34 time: 0.0886 data_time: 0.0231 memory: 806 2022/08/09 03:46:05 - mmengine - INFO - Epoch(val) [11][3880/6282] eta: 0:03:03 time: 0.0765 data_time: 0.0150 memory: 806 2022/08/09 03:46:06 - mmengine - INFO - Epoch(val) [11][3900/6282] eta: 0:02:58 time: 0.0749 data_time: 0.0129 memory: 806 2022/08/09 03:46:08 - mmengine - INFO - Epoch(val) [11][3920/6282] eta: 0:02:44 time: 0.0696 data_time: 0.0094 memory: 806 2022/08/09 03:46:09 - mmengine - INFO - Epoch(val) [11][3940/6282] eta: 0:02:49 time: 0.0722 data_time: 0.0115 memory: 806 2022/08/09 03:46:11 - mmengine - INFO - Epoch(val) [11][3960/6282] eta: 0:02:25 time: 0.0625 data_time: 0.0051 memory: 806 2022/08/09 03:46:12 - mmengine - INFO - Epoch(val) [11][3980/6282] eta: 0:02:18 time: 0.0602 data_time: 0.0042 memory: 806 2022/08/09 03:46:13 - mmengine - INFO - Epoch(val) [11][4000/6282] eta: 0:02:14 time: 0.0591 data_time: 0.0039 memory: 806 2022/08/09 03:46:14 - mmengine - INFO - Epoch(val) [11][4020/6282] eta: 0:02:16 time: 0.0605 data_time: 0.0039 memory: 806 2022/08/09 03:46:15 - mmengine - INFO - Epoch(val) [11][4040/6282] eta: 0:02:17 time: 0.0612 data_time: 0.0040 memory: 899 2022/08/09 03:46:17 - mmengine - INFO - Epoch(val) [11][4060/6282] eta: 0:03:38 time: 0.0982 data_time: 0.0045 memory: 899 2022/08/09 03:46:19 - mmengine - INFO - Epoch(val) [11][4080/6282] eta: 0:02:41 time: 0.0733 data_time: 0.0048 memory: 899 2022/08/09 03:46:21 - mmengine - INFO - Epoch(val) [11][4100/6282] eta: 0:02:52 time: 0.0789 data_time: 0.0060 memory: 899 2022/08/09 03:46:22 - mmengine - INFO - Epoch(val) [11][4120/6282] eta: 0:02:51 time: 0.0794 data_time: 0.0063 memory: 899 2022/08/09 03:46:24 - mmengine - INFO - Epoch(val) [11][4140/6282] eta: 0:02:27 time: 0.0690 data_time: 0.0069 memory: 899 2022/08/09 03:46:25 - mmengine - INFO - Epoch(val) [11][4160/6282] eta: 0:02:00 time: 0.0568 data_time: 0.0058 memory: 736 2022/08/09 03:46:26 - mmengine - INFO - Epoch(val) [11][4180/6282] eta: 0:01:59 time: 0.0566 data_time: 0.0041 memory: 736 2022/08/09 03:46:27 - mmengine - INFO - Epoch(val) [11][4200/6282] eta: 0:01:58 time: 0.0569 data_time: 0.0048 memory: 736 2022/08/09 03:46:28 - mmengine - INFO - Epoch(val) [11][4220/6282] eta: 0:01:55 time: 0.0561 data_time: 0.0047 memory: 736 2022/08/09 03:46:29 - mmengine - INFO - Epoch(val) [11][4240/6282] eta: 0:01:51 time: 0.0544 data_time: 0.0051 memory: 736 2022/08/09 03:46:30 - mmengine - INFO - Epoch(val) [11][4260/6282] eta: 0:01:43 time: 0.0513 data_time: 0.0038 memory: 735 2022/08/09 03:46:31 - mmengine - INFO - Epoch(val) [11][4280/6282] eta: 0:01:38 time: 0.0492 data_time: 0.0032 memory: 735 2022/08/09 03:46:32 - mmengine - INFO - Epoch(val) [11][4300/6282] eta: 0:01:40 time: 0.0507 data_time: 0.0033 memory: 735 2022/08/09 03:46:33 - mmengine - INFO - Epoch(val) [11][4320/6282] eta: 0:01:38 time: 0.0503 data_time: 0.0035 memory: 735 2022/08/09 03:46:34 - mmengine - INFO - Epoch(val) [11][4340/6282] eta: 0:01:41 time: 0.0522 data_time: 0.0043 memory: 735 2022/08/09 03:46:36 - mmengine - INFO - Epoch(val) [11][4360/6282] eta: 0:01:59 time: 0.0623 data_time: 0.0051 memory: 806 2022/08/09 03:46:37 - mmengine - INFO - Epoch(val) [11][4380/6282] eta: 0:02:45 time: 0.0868 data_time: 0.0046 memory: 806 2022/08/09 03:46:39 - mmengine - INFO - Epoch(val) [11][4400/6282] eta: 0:01:52 time: 0.0599 data_time: 0.0051 memory: 806 2022/08/09 03:46:40 - mmengine - INFO - Epoch(val) [11][4420/6282] eta: 0:01:55 time: 0.0619 data_time: 0.0053 memory: 806 2022/08/09 03:46:41 - mmengine - INFO - Epoch(val) [11][4440/6282] eta: 0:01:59 time: 0.0651 data_time: 0.0047 memory: 814 2022/08/09 03:46:42 - mmengine - INFO - Epoch(val) [11][4460/6282] eta: 0:02:03 time: 0.0679 data_time: 0.0051 memory: 814 2022/08/09 03:46:44 - mmengine - INFO - Epoch(val) [11][4480/6282] eta: 0:01:59 time: 0.0663 data_time: 0.0050 memory: 814 2022/08/09 03:46:45 - mmengine - INFO - Epoch(val) [11][4500/6282] eta: 0:01:56 time: 0.0652 data_time: 0.0044 memory: 814 2022/08/09 03:46:46 - mmengine - INFO - Epoch(val) [11][4520/6282] eta: 0:01:52 time: 0.0638 data_time: 0.0062 memory: 814 2022/08/09 03:46:48 - mmengine - INFO - Epoch(val) [11][4540/6282] eta: 0:01:36 time: 0.0556 data_time: 0.0049 memory: 742 2022/08/09 03:46:49 - mmengine - INFO - Epoch(val) [11][4560/6282] eta: 0:01:35 time: 0.0552 data_time: 0.0053 memory: 742 2022/08/09 03:46:50 - mmengine - INFO - Epoch(val) [11][4580/6282] eta: 0:01:31 time: 0.0540 data_time: 0.0045 memory: 742 2022/08/09 03:46:51 - mmengine - INFO - Epoch(val) [11][4600/6282] eta: 0:01:31 time: 0.0544 data_time: 0.0041 memory: 742 2022/08/09 03:46:52 - mmengine - INFO - Epoch(val) [11][4620/6282] eta: 0:01:30 time: 0.0547 data_time: 0.0055 memory: 742 2022/08/09 03:46:53 - mmengine - INFO - Epoch(val) [11][4640/6282] eta: 0:01:42 time: 0.0623 data_time: 0.0043 memory: 814 2022/08/09 03:46:54 - mmengine - INFO - Epoch(val) [11][4660/6282] eta: 0:01:41 time: 0.0629 data_time: 0.0042 memory: 814 2022/08/09 03:46:56 - mmengine - INFO - Epoch(val) [11][4680/6282] eta: 0:01:41 time: 0.0632 data_time: 0.0040 memory: 814 2022/08/09 03:46:58 - mmengine - INFO - Epoch(val) [11][4700/6282] eta: 0:02:34 time: 0.0978 data_time: 0.0067 memory: 814 2022/08/09 03:46:59 - mmengine - INFO - Epoch(val) [11][4720/6282] eta: 0:01:44 time: 0.0668 data_time: 0.0052 memory: 814 2022/08/09 03:47:00 - mmengine - INFO - Epoch(val) [11][4740/6282] eta: 0:01:29 time: 0.0579 data_time: 0.0055 memory: 766 2022/08/09 03:47:01 - mmengine - INFO - Epoch(val) [11][4760/6282] eta: 0:01:27 time: 0.0577 data_time: 0.0048 memory: 766 2022/08/09 03:47:03 - mmengine - INFO - Epoch(val) [11][4780/6282] eta: 0:01:26 time: 0.0576 data_time: 0.0056 memory: 766 2022/08/09 03:47:04 - mmengine - INFO - Epoch(val) [11][4800/6282] eta: 0:01:25 time: 0.0575 data_time: 0.0047 memory: 766 2022/08/09 03:47:05 - mmengine - INFO - Epoch(val) [11][4820/6282] eta: 0:01:25 time: 0.0585 data_time: 0.0049 memory: 806 2022/08/09 03:47:06 - mmengine - INFO - Epoch(val) [11][4840/6282] eta: 0:01:30 time: 0.0627 data_time: 0.0046 memory: 806 2022/08/09 03:47:07 - mmengine - INFO - Epoch(val) [11][4860/6282] eta: 0:01:29 time: 0.0628 data_time: 0.0048 memory: 806 2022/08/09 03:47:09 - mmengine - INFO - Epoch(val) [11][4880/6282] eta: 0:01:30 time: 0.0643 data_time: 0.0049 memory: 806 2022/08/09 03:47:10 - mmengine - INFO - Epoch(val) [11][4900/6282] eta: 0:01:31 time: 0.0661 data_time: 0.0043 memory: 806 2022/08/09 03:47:11 - mmengine - INFO - Epoch(val) [11][4920/6282] eta: 0:01:24 time: 0.0620 data_time: 0.0039 memory: 809 2022/08/09 03:47:13 - mmengine - INFO - Epoch(val) [11][4940/6282] eta: 0:01:25 time: 0.0640 data_time: 0.0048 memory: 809 2022/08/09 03:47:14 - mmengine - INFO - Epoch(val) [11][4960/6282] eta: 0:01:28 time: 0.0667 data_time: 0.0047 memory: 809 2022/08/09 03:47:15 - mmengine - INFO - Epoch(val) [11][4980/6282] eta: 0:01:25 time: 0.0657 data_time: 0.0049 memory: 809 2022/08/09 03:47:17 - mmengine - INFO - Epoch(val) [11][5000/6282] eta: 0:01:58 time: 0.0926 data_time: 0.0051 memory: 809 2022/08/09 03:47:18 - mmengine - INFO - Epoch(val) [11][5020/6282] eta: 0:01:19 time: 0.0634 data_time: 0.0047 memory: 809 2022/08/09 03:47:19 - mmengine - INFO - Epoch(val) [11][5040/6282] eta: 0:01:04 time: 0.0521 data_time: 0.0040 memory: 741 2022/08/09 03:47:21 - mmengine - INFO - Epoch(val) [11][5060/6282] eta: 0:01:13 time: 0.0602 data_time: 0.0062 memory: 741 2022/08/09 03:47:22 - mmengine - INFO - Epoch(val) [11][5080/6282] eta: 0:01:07 time: 0.0559 data_time: 0.0051 memory: 741 2022/08/09 03:47:23 - mmengine - INFO - Epoch(val) [11][5100/6282] eta: 0:01:05 time: 0.0553 data_time: 0.0042 memory: 741 2022/08/09 03:47:24 - mmengine - INFO - Epoch(val) [11][5120/6282] eta: 0:01:06 time: 0.0569 data_time: 0.0052 memory: 741 2022/08/09 03:47:25 - mmengine - INFO - Epoch(val) [11][5140/6282] eta: 0:01:02 time: 0.0545 data_time: 0.0050 memory: 736 2022/08/09 03:47:26 - mmengine - INFO - Epoch(val) [11][5160/6282] eta: 0:01:03 time: 0.0570 data_time: 0.0051 memory: 736 2022/08/09 03:47:28 - mmengine - INFO - Epoch(val) [11][5180/6282] eta: 0:01:29 time: 0.0816 data_time: 0.0057 memory: 736 2022/08/09 03:47:29 - mmengine - INFO - Epoch(val) [11][5200/6282] eta: 0:00:58 time: 0.0545 data_time: 0.0059 memory: 736 2022/08/09 03:47:30 - mmengine - INFO - Epoch(val) [11][5220/6282] eta: 0:00:58 time: 0.0551 data_time: 0.0054 memory: 736 2022/08/09 03:47:31 - mmengine - INFO - Epoch(val) [11][5240/6282] eta: 0:00:57 time: 0.0549 data_time: 0.0049 memory: 735 2022/08/09 03:47:32 - mmengine - INFO - Epoch(val) [11][5260/6282] eta: 0:00:57 time: 0.0559 data_time: 0.0046 memory: 735 2022/08/09 03:47:33 - mmengine - INFO - Epoch(val) [11][5280/6282] eta: 0:00:55 time: 0.0552 data_time: 0.0055 memory: 735 2022/08/09 03:47:35 - mmengine - INFO - Epoch(val) [11][5300/6282] eta: 0:00:55 time: 0.0561 data_time: 0.0047 memory: 735 2022/08/09 03:47:36 - mmengine - INFO - Epoch(val) [11][5320/6282] eta: 0:00:53 time: 0.0555 data_time: 0.0043 memory: 736 2022/08/09 03:47:37 - mmengine - INFO - Epoch(val) [11][5340/6282] eta: 0:00:50 time: 0.0540 data_time: 0.0044 memory: 736 2022/08/09 03:47:38 - mmengine - INFO - Epoch(val) [11][5360/6282] eta: 0:00:48 time: 0.0529 data_time: 0.0043 memory: 736 2022/08/09 03:47:39 - mmengine - INFO - Epoch(val) [11][5380/6282] eta: 0:00:51 time: 0.0567 data_time: 0.0048 memory: 736 2022/08/09 03:47:40 - mmengine - INFO - Epoch(val) [11][5400/6282] eta: 0:00:47 time: 0.0542 data_time: 0.0048 memory: 736 2022/08/09 03:47:41 - mmengine - INFO - Epoch(val) [11][5420/6282] eta: 0:00:48 time: 0.0566 data_time: 0.0060 memory: 736 2022/08/09 03:47:42 - mmengine - INFO - Epoch(val) [11][5440/6282] eta: 0:00:48 time: 0.0572 data_time: 0.0060 memory: 736 2022/08/09 03:47:44 - mmengine - INFO - Epoch(val) [11][5460/6282] eta: 0:00:45 time: 0.0548 data_time: 0.0039 memory: 736 2022/08/09 03:47:45 - mmengine - INFO - Epoch(val) [11][5480/6282] eta: 0:00:44 time: 0.0559 data_time: 0.0055 memory: 736 2022/08/09 03:47:46 - mmengine - INFO - Epoch(val) [11][5500/6282] eta: 0:00:42 time: 0.0546 data_time: 0.0047 memory: 736 2022/08/09 03:47:48 - mmengine - INFO - Epoch(val) [11][5520/6282] eta: 0:01:05 time: 0.0856 data_time: 0.0051 memory: 761 2022/08/09 03:47:49 - mmengine - INFO - Epoch(val) [11][5540/6282] eta: 0:00:42 time: 0.0577 data_time: 0.0052 memory: 761 2022/08/09 03:47:50 - mmengine - INFO - Epoch(val) [11][5560/6282] eta: 0:00:40 time: 0.0557 data_time: 0.0050 memory: 761 2022/08/09 03:47:51 - mmengine - INFO - Epoch(val) [11][5580/6282] eta: 0:00:39 time: 0.0562 data_time: 0.0060 memory: 761 2022/08/09 03:47:52 - mmengine - INFO - Epoch(val) [11][5600/6282] eta: 0:00:37 time: 0.0549 data_time: 0.0047 memory: 761 2022/08/09 03:47:53 - mmengine - INFO - Epoch(val) [11][5620/6282] eta: 0:00:35 time: 0.0540 data_time: 0.0048 memory: 761 2022/08/09 03:47:54 - mmengine - INFO - Epoch(val) [11][5640/6282] eta: 0:00:33 time: 0.0520 data_time: 0.0036 memory: 736 2022/08/09 03:47:55 - mmengine - INFO - Epoch(val) [11][5660/6282] eta: 0:00:32 time: 0.0525 data_time: 0.0041 memory: 736 2022/08/09 03:47:56 - mmengine - INFO - Epoch(val) [11][5680/6282] eta: 0:00:31 time: 0.0524 data_time: 0.0036 memory: 736 2022/08/09 03:47:57 - mmengine - INFO - Epoch(val) [11][5700/6282] eta: 0:00:32 time: 0.0550 data_time: 0.0053 memory: 736 2022/08/09 03:47:59 - mmengine - INFO - Epoch(val) [11][5720/6282] eta: 0:00:30 time: 0.0535 data_time: 0.0049 memory: 777 2022/08/09 03:48:00 - mmengine - INFO - Epoch(val) [11][5740/6282] eta: 0:00:33 time: 0.0626 data_time: 0.0053 memory: 777 2022/08/09 03:48:01 - mmengine - INFO - Epoch(val) [11][5760/6282] eta: 0:00:31 time: 0.0610 data_time: 0.0051 memory: 777 2022/08/09 03:48:02 - mmengine - INFO - Epoch(val) [11][5780/6282] eta: 0:00:28 time: 0.0569 data_time: 0.0052 memory: 777 2022/08/09 03:48:03 - mmengine - INFO - Epoch(val) [11][5800/6282] eta: 0:00:28 time: 0.0599 data_time: 0.0047 memory: 777 2022/08/09 03:48:05 - mmengine - INFO - Epoch(val) [11][5820/6282] eta: 0:00:27 time: 0.0600 data_time: 0.0042 memory: 777 2022/08/09 03:48:06 - mmengine - INFO - Epoch(val) [11][5840/6282] eta: 0:00:25 time: 0.0585 data_time: 0.0067 memory: 761 2022/08/09 03:48:07 - mmengine - INFO - Epoch(val) [11][5860/6282] eta: 0:00:34 time: 0.0821 data_time: 0.0048 memory: 761 2022/08/09 03:48:09 - mmengine - INFO - Epoch(val) [11][5880/6282] eta: 0:00:22 time: 0.0570 data_time: 0.0040 memory: 761 2022/08/09 03:48:10 - mmengine - INFO - Epoch(val) [11][5900/6282] eta: 0:00:22 time: 0.0577 data_time: 0.0048 memory: 761 2022/08/09 03:48:11 - mmengine - INFO - Epoch(val) [11][5920/6282] eta: 0:00:19 time: 0.0530 data_time: 0.0033 memory: 761 2022/08/09 03:48:12 - mmengine - INFO - Epoch(val) [11][5940/6282] eta: 0:00:18 time: 0.0533 data_time: 0.0043 memory: 736 2022/08/09 03:48:13 - mmengine - INFO - Epoch(val) [11][5960/6282] eta: 0:00:18 time: 0.0570 data_time: 0.0053 memory: 736 2022/08/09 03:48:14 - mmengine - INFO - Epoch(val) [11][5980/6282] eta: 0:00:18 time: 0.0599 data_time: 0.0061 memory: 736 2022/08/09 03:48:16 - mmengine - INFO - Epoch(val) [11][6000/6282] eta: 0:00:18 time: 0.0666 data_time: 0.0055 memory: 806 2022/08/09 03:48:17 - mmengine - INFO - Epoch(val) [11][6020/6282] eta: 0:00:17 time: 0.0670 data_time: 0.0053 memory: 806 2022/08/09 03:48:18 - mmengine - INFO - Epoch(val) [11][6040/6282] eta: 0:00:15 time: 0.0657 data_time: 0.0048 memory: 806 2022/08/09 03:48:20 - mmengine - INFO - Epoch(val) [11][6060/6282] eta: 0:00:15 time: 0.0699 data_time: 0.0056 memory: 806 2022/08/09 03:48:21 - mmengine - INFO - Epoch(val) [11][6080/6282] eta: 0:00:13 time: 0.0657 data_time: 0.0058 memory: 806 2022/08/09 03:48:22 - mmengine - INFO - Epoch(val) [11][6100/6282] eta: 0:00:12 time: 0.0685 data_time: 0.0068 memory: 806 2022/08/09 03:48:24 - mmengine - INFO - Epoch(val) [11][6120/6282] eta: 0:00:11 time: 0.0718 data_time: 0.0133 memory: 806 2022/08/09 03:48:26 - mmengine - INFO - Epoch(val) [11][6140/6282] eta: 0:00:11 time: 0.0826 data_time: 0.0265 memory: 806 2022/08/09 03:48:27 - mmengine - INFO - Epoch(val) [11][6160/6282] eta: 0:00:10 time: 0.0831 data_time: 0.0036 memory: 806 2022/08/09 03:48:28 - mmengine - INFO - Epoch(val) [11][6180/6282] eta: 0:00:06 time: 0.0602 data_time: 0.0037 memory: 806 2022/08/09 03:48:29 - mmengine - INFO - Epoch(val) [11][6200/6282] eta: 0:00:04 time: 0.0546 data_time: 0.0029 memory: 806 2022/08/09 03:48:31 - mmengine - INFO - Epoch(val) [11][6220/6282] eta: 0:00:03 time: 0.0534 data_time: 0.0029 memory: 806 2022/08/09 03:48:32 - mmengine - INFO - Epoch(val) [11][6240/6282] eta: 0:00:02 time: 0.0535 data_time: 0.0029 memory: 806 2022/08/09 03:48:33 - mmengine - INFO - Epoch(val) [11][6260/6282] eta: 0:00:01 time: 0.0534 data_time: 0.0029 memory: 806 2022/08/09 03:48:34 - mmengine - INFO - Epoch(val) [11][6280/6282] eta: 0:00:00 time: 0.0530 data_time: 0.0026 memory: 806 2022/08/09 03:52:14 - mmengine - INFO - Epoch(val) [11][6282/6282] mAP/mAP@0.5IOU: 0.2574 2022/08/09 03:52:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8/best_mAP/mAP@0.5IOU_epoch_8.pth is removed 2022/08/09 03:52:18 - mmengine - INFO - The best checkpoint with 0.2574 mAP/mAP@0.5IOU at 12 epoch is saved to best_mAP/mAP@0.5IOU_epoch_12.pth. 2022/08/09 03:52:32 - mmengine - INFO - Epoch(train) [12][20/2881] lr: 1.0000e-02 eta: 4:44:43 time: 0.7245 data_time: 0.1261 memory: 13802 grad_norm: 0.1567 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7675 recall@top3: 0.8167 prec@top3: 0.6500 recall@top5: 0.8500 prec@top5: 0.4100 loss_action_cls: 0.0275 loss: 0.0275 2022/08/09 03:52:45 - mmengine - INFO - Epoch(train) [12][40/2881] lr: 1.0000e-02 eta: 4:44:29 time: 0.6259 data_time: 0.0249 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8571 recall@top3: 0.7976 prec@top3: 0.5476 recall@top5: 0.9821 prec@top5: 0.3857 loss_action_cls: 0.0300 loss: 0.0300 2022/08/09 03:52:57 - mmengine - INFO - Epoch(train) [12][60/2881] lr: 1.0000e-02 eta: 4:44:15 time: 0.6077 data_time: 0.0218 memory: 13802 grad_norm: 0.1665 recall@thr=0.5: 0.7433 prec@thr=0.5: 0.8400 recall@top3: 0.8267 prec@top3: 0.6133 recall@top5: 0.9867 prec@top5: 0.4640 loss_action_cls: 0.0335 loss: 0.0335 2022/08/09 03:53:10 - mmengine - INFO - Epoch(train) [12][80/2881] lr: 1.0000e-02 eta: 4:44:02 time: 0.6563 data_time: 0.0217 memory: 13802 grad_norm: 0.1564 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7647 recall@top3: 0.7451 prec@top3: 0.5294 recall@top5: 0.9412 prec@top5: 0.3647 loss_action_cls: 0.0345 loss: 0.0345 2022/08/09 03:53:22 - mmengine - INFO - Epoch(train) [12][100/2881] lr: 1.0000e-02 eta: 4:43:48 time: 0.6069 data_time: 0.0223 memory: 13802 grad_norm: 0.1574 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.8788 recall@top3: 0.8295 prec@top3: 0.6970 recall@top5: 0.9886 prec@top5: 0.5091 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:53:35 - mmengine - INFO - Epoch(train) [12][120/2881] lr: 1.0000e-02 eta: 4:43:34 time: 0.6334 data_time: 0.0224 memory: 13802 grad_norm: 0.1652 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6635 recall@top3: 0.6706 prec@top3: 0.5714 recall@top5: 0.8730 prec@top5: 0.4571 loss_action_cls: 0.0344 loss: 0.0344 2022/08/09 03:53:48 - mmengine - INFO - Epoch(train) [12][140/2881] lr: 1.0000e-02 eta: 4:43:21 time: 0.6286 data_time: 0.0211 memory: 13802 grad_norm: 0.1608 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9133 recall@top3: 0.8667 prec@top3: 0.7600 recall@top5: 0.9600 prec@top5: 0.5280 loss_action_cls: 0.0312 loss: 0.0312 2022/08/09 03:54:00 - mmengine - INFO - Epoch(train) [12][160/2881] lr: 1.0000e-02 eta: 4:43:07 time: 0.6342 data_time: 0.0221 memory: 13802 grad_norm: 0.1638 recall@thr=0.5: 0.7049 prec@thr=0.5: 0.7743 recall@top3: 0.8438 prec@top3: 0.5694 recall@top5: 0.8681 prec@top5: 0.3583 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 03:54:13 - mmengine - INFO - Epoch(train) [12][180/2881] lr: 1.0000e-02 eta: 4:42:54 time: 0.6358 data_time: 0.0219 memory: 13802 grad_norm: 0.1650 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6562 recall@top3: 0.7500 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0355 loss: 0.0355 2022/08/09 03:54:25 - mmengine - INFO - Epoch(train) [12][200/2881] lr: 1.0000e-02 eta: 4:42:40 time: 0.6059 data_time: 0.0220 memory: 13802 grad_norm: 0.1622 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.9667 recall@top3: 0.9000 prec@top3: 0.8000 recall@top5: 0.9875 prec@top5: 0.5500 loss_action_cls: 0.0299 loss: 0.0299 2022/08/09 03:54:38 - mmengine - INFO - Epoch(train) [12][220/2881] lr: 1.0000e-02 eta: 4:42:26 time: 0.6579 data_time: 0.0219 memory: 13802 grad_norm: 0.1657 recall@thr=0.5: 0.9137 prec@thr=0.5: 0.9608 recall@top3: 0.9137 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 03:54:51 - mmengine - INFO - Epoch(train) [12][240/2881] lr: 1.0000e-02 eta: 4:42:13 time: 0.6413 data_time: 0.0251 memory: 13802 grad_norm: 0.1655 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8611 recall@top3: 0.8380 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0329 loss: 0.0329 2022/08/09 03:55:04 - mmengine - INFO - Epoch(train) [12][260/2881] lr: 1.0000e-02 eta: 4:41:59 time: 0.6443 data_time: 0.0224 memory: 13802 grad_norm: 0.1639 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.8433 recall@top3: 0.7880 prec@top3: 0.7067 recall@top5: 0.8907 prec@top5: 0.5040 loss_action_cls: 0.0286 loss: 0.0286 2022/08/09 03:55:16 - mmengine - INFO - Epoch(train) [12][280/2881] lr: 1.0000e-02 eta: 4:41:45 time: 0.6041 data_time: 0.0227 memory: 13802 grad_norm: 0.1661 recall@thr=0.5: 0.9222 prec@thr=0.5: 0.9556 recall@top3: 0.9389 prec@top3: 0.6222 recall@top5: 0.9778 prec@top5: 0.4000 loss_action_cls: 0.0322 loss: 0.0322 2022/08/09 03:55:29 - mmengine - INFO - Epoch(train) [12][300/2881] lr: 1.0000e-02 eta: 4:41:32 time: 0.6409 data_time: 0.0221 memory: 13802 grad_norm: 0.1645 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9615 recall@top3: 0.8910 prec@top3: 0.8462 recall@top5: 1.0000 prec@top5: 0.5846 loss_action_cls: 0.0321 loss: 0.0321 2022/08/09 03:55:34 - mmengine - INFO - Exp name: slowfast_kinetics_pretrained_r50_8x8x1_20e_ava_rgb_bs8_20220808_194515 2022/08/09 03:55:42 - mmengine - INFO - Epoch(train) [12][320/2881] lr: 1.0000e-02 eta: 4:41:18 time: 0.6339 data_time: 0.0210 memory: 13802 grad_norm: 0.1619 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8571 recall@top3: 0.8770 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4762 loss_action_cls: 0.0327 loss: 0.0327 2022/08/09 03:55:54 - mmengine - INFO - Epoch(train) [12][340/2881] lr: 1.0000e-02 eta: 4:41:05 time: 0.6293 data_time: 0.0230 memory: 13802 grad_norm: 0.1632 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8158 recall@top3: 0.7939 prec@top3: 0.7018 recall@top5: 0.9693 prec@top5: 0.5158 loss_action_cls: 0.0359 loss: 0.0359 2022/08/09 03:56:07 - mmengine - INFO - Epoch(train) [12][360/2881] lr: 1.0000e-02 eta: 4:40:51 time: 0.6225 data_time: 0.0248 memory: 13802 grad_norm: 0.1674 recall@thr=0.5: 0.8522 prec@thr=0.5: 0.8495 recall@top3: 0.8468 prec@top3: 0.7204 recall@top5: 1.0000 prec@top5: 0.5226 loss_action_cls: 0.0382 loss: 0.0382 2022/08/09 03:56:19 - mmengine - INFO - Epoch(train) [12][380/2881] lr: 1.0000e-02 eta: 4:40:37 time: 0.6276 data_time: 0.0220 memory: 13802 grad_norm: 0.1626 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8958 recall@top3: 0.8472 prec@top3: 0.8056 recall@top5: 0.9896 prec@top5: 0.5833 loss_action_cls: 0.0324 loss: 0.0324 2022/08/09 03:56:32 - mmengine - INFO - Epoch(train) [12][400/2881] lr: 1.0000e-02 eta: 4:40:24 time: 0.6334 data_time: 0.0218 memory: 13802 grad_norm: 0.1615 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8039 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.9804 prec@top5: 0.4235 loss_action_cls: 0.0333 loss: 0.0333 2022/08/09 03:56:45 - mmengine - INFO - Epoch(train) [12][420/2881] lr: 1.0000e-02 eta: 4:40:10 time: 0.6350 data_time: 0.0219 memory: 13802 grad_norm: 0.1648 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8785 recall@top3: 0.8208 prec@top3: 0.6389 recall@top5: 0.8993 prec@top5: 0.4500 loss_action_cls: 0.0351 loss: 0.0351 2022/08/09 03:56:57 - mmengine - INFO - Epoch(train) [12][440/2881] lr: 1.0000e-02 eta: 4:39:56 time: 0.6318 data_time: 0.0205 memory: 13802 grad_norm: 0.1598 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.9167 recall@top3: 0.9130 prec@top3: 0.8551 recall@top5: 0.9855 prec@top5: 0.5565 loss_action_cls: 0.0327 loss: 0.0327 2022/08/09 03:57:10 - mmengine - INFO - Epoch(train) [12][460/2881] lr: 1.0000e-02 eta: 4:39:43 time: 0.6591 data_time: 0.0562 memory: 13802 grad_norm: 0.1652 recall@thr=0.5: 0.8659 prec@thr=0.5: 0.9603 recall@top3: 0.8786 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0309 loss: 0.0309 2022/08/09 03:57:23 - mmengine - INFO - Epoch(train) [12][480/2881] lr: 1.0000e-02 eta: 4:39:30 time: 0.6445 data_time: 0.0218 memory: 13802 grad_norm: 0.1681 recall@thr=0.5: 0.9231 prec@thr=0.5: 0.8846 recall@top3: 0.9359 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.4692 loss_action_cls: 0.0304 loss: 0.0304 2022/08/09 03:57:36 - mmengine - INFO - Epoch(train) [12][500/2881] lr: 1.0000e-02 eta: 4:39:16 time: 0.6345 data_time: 0.0227 memory: 13802 grad_norm: 0.1667 recall@thr=0.5: 0.7804 prec@thr=0.5: 0.7843 recall@top3: 0.8255 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.5176 loss_action_cls: 0.0360 loss: 0.0360 2022/08/09 03:57:49 - mmengine - INFO - Epoch(train) [12][520/2881] lr: 1.0000e-02 eta: 4:39:03 time: 0.6394 data_time: 0.0232 memory: 13802 grad_norm: 0.1667 recall@thr=0.5: 0.7380 prec@thr=0.5: 0.7113 recall@top3: 0.7593 prec@top3: 0.6400 recall@top5: 0.9240 prec@top5: 0.4880 loss_action_cls: 0.0369 loss: 0.0369 2022/08/09 03:58:01 - mmengine - INFO - Epoch(train) [12][540/2881] lr: 1.0000e-02 eta: 4:38:49 time: 0.6353 data_time: 0.0214 memory: 13802 grad_norm: 0.1643 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.8333 recall@top3: 0.8400 prec@top3: 0.6533 recall@top5: 0.9400 prec@top5: 0.4560 loss_action_cls: 0.0334 loss: 0.0334 2022/08/09 03:58:14 - mmengine - INFO - Epoch(train) [12][560/2881] lr: 1.0000e-02 eta: 4:38:36 time: 0.6241 data_time: 0.0215 memory: 13802 grad_norm: 0.1607 recall@thr=0.5: 0.8010 prec@thr=0.5: 0.7292 recall@top3: 0.8635 prec@top3: 0.5833 recall@top5: 0.9750 prec@top5: 0.4125 loss_action_cls: 0.0362 loss: 0.0362 2022/08/09 03:58:26 - mmengine - INFO - Epoch(train) [12][580/2881] lr: 1.0000e-02 eta: 4:38:22 time: 0.6052 data_time: 0.0212 memory: 13802 grad_norm: 0.1654 recall@thr=0.5: 0.8986 prec@thr=0.5: 0.9275 recall@top3: 0.8841 prec@top3: 0.5797 recall@top5: 0.9710 prec@top5: 0.4000 loss_action_cls: 0.0324 loss: 0.0324 2022/08/09 03:58:39 - mmengine - INFO - Epoch(train) [12][600/2881] lr: 1.0000e-02 eta: 4:38:08 time: 0.6348 data_time: 0.0219 memory: 13802 grad_norm: 0.1615 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9012 recall@top3: 0.8631 prec@top3: 0.7143 recall@top5: 0.9821 prec@top5: 0.5143 loss_action_cls: 0.0329 loss: 0.0329 2022/08/09 03:58:51 - mmengine - INFO - Epoch(train) [12][620/2881] lr: 1.0000e-02 eta: 4:37:54 time: 0.6347 data_time: 0.0248 memory: 13802 grad_norm: 0.1651 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8421 recall@top3: 0.8509 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0354 loss: 0.0354 2022/08/09 03:59:04 - mmengine - INFO - Epoch(train) [12][640/2881] lr: 1.0000e-02 eta: 4:37:41 time: 0.6382 data_time: 0.0229 memory: 13802 grad_norm: 0.1652 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.8015 recall@top3: 0.7843 prec@top3: 0.7451 recall@top5: 0.9436 prec@top5: 0.5412 loss_action_cls: 0.0322 loss: 0.0322 2022/08/09 03:59:16 - mmengine - INFO - Epoch(train) [12][660/2881] lr: 1.0000e-02 eta: 4:37:27 time: 0.6148 data_time: 0.0316 memory: 13802 grad_norm: 0.1701 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7262 recall@top3: 0.7857 prec@top3: 0.6508 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0336 loss: 0.0336 2022/08/09 03:59:29 - mmengine - INFO - Epoch(train) [12][680/2881] lr: 1.0000e-02 eta: 4:37:13 time: 0.6331 data_time: 0.0218 memory: 13802 grad_norm: 0.1705 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8141 recall@top3: 0.7981 prec@top3: 0.7436 recall@top5: 0.9519 prec@top5: 0.5615 loss_action_cls: 0.0291 loss: 0.0291 2022/08/09 03:59:42 - mmengine - INFO - Epoch(train) [12][700/2881] lr: 1.0000e-02 eta: 4:37:00 time: 0.6375 data_time: 0.0218 memory: 13802 grad_norm: 0.1645 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8283 recall@top3: 0.8083 prec@top3: 0.8000 recall@top5: 0.9833 prec@top5: 0.6000 loss_action_cls: 0.0346 loss: 0.0346 2022/08/09 03:59:54 - mmengine - INFO - Epoch(train) [12][720/2881] lr: 1.0000e-02 eta: 4:36:46 time: 0.6049 data_time: 0.0215 memory: 13802 grad_norm: 0.1644 recall@thr=0.5: 0.8353 prec@thr=0.5: 0.8929 recall@top3: 0.9107 prec@top3: 0.8333 recall@top5: 0.9563 prec@top5: 0.5286 loss_action_cls: 0.0319 loss: 0.0319 2022/08/09 04:00:07 - mmengine - INFO - Epoch(train) [12][740/2881] lr: 1.0000e-02 eta: 4:36:32 time: 0.6297 data_time: 0.0205 memory: 13802 grad_norm: 0.1734 recall@thr=0.5: 0.7694 prec@thr=0.5: 0.9500 recall@top3: 0.8417 prec@top3: 0.7037 recall@top5: 0.9556 prec@top5: 0.5111 loss_action_cls: 0.0353 loss: 0.0353 2022/08/09 04:00:19 - mmengine - INFO - Epoch(train) [12][760/2881] lr: 1.0000e-02 eta: 4:36:19 time: 0.6362 data_time: 0.0229 memory: 13802 grad_norm: 0.1647 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6786 recall@top3: 0.7262 prec@top3: 0.5476 recall@top5: 0.8095 prec@top5: 0.3857 loss_action_cls: 0.0317 loss: 0.0317 2022/08/09 04:00:32 - mmengine - INFO - Epoch(train) [12][780/2881] lr: 1.0000e-02 eta: 4:36:05 time: 0.6350 data_time: 0.0223 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.8297 prec@thr=0.5: 0.8986 recall@top3: 0.8406 prec@top3: 0.5797 recall@top5: 0.9855 prec@top5: 0.4348 loss_action_cls: 0.0321 loss: 0.0321 2022/08/09 04:00:44 - mmengine - INFO - Epoch(train) [12][800/2881] lr: 1.0000e-02 eta: 4:35:51 time: 0.6045 data_time: 0.0218 memory: 13802 grad_norm: 0.1630 recall@thr=0.5: 0.7841 prec@thr=0.5: 0.8977 recall@top3: 0.8864 prec@top3: 0.7727 recall@top5: 0.9205 prec@top5: 0.4909 loss_action_cls: 0.0313 loss: 0.0313 2022/08/09 04:00:57 - mmengine - INFO - Epoch(train) [12][820/2881] lr: 1.0000e-02 eta: 4:35:38 time: 0.6307 data_time: 0.0214 memory: 13802 grad_norm: 0.1633 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6583 recall@top3: 0.8000 prec@top3: 0.6167 recall@top5: 0.8708 prec@top5: 0.4200 loss_action_cls: 0.0323 loss: 0.0323 2022/08/09 04:01:09 - mmengine - INFO - Epoch(train) [12][840/2881] lr: 1.0000e-02 eta: 4:35:24 time: 0.6152 data_time: 0.0252 memory: 13802 grad_norm: 0.1575 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8583 recall@top3: 0.8458 prec@top3: 0.6167 recall@top5: 0.9042 prec@top5: 0.4100 loss_action_cls: 0.0304 loss: 0.0304 2022/08/09 04:01:22 - mmengine - INFO - Epoch(train) [12][860/2881] lr: 1.0000e-02 eta: 4:35:10 time: 0.6406 data_time: 0.0239 memory: 13802 grad_norm: 0.1719 recall@thr=0.5: 0.7847 prec@thr=0.5: 0.8819 recall@top3: 0.8646 prec@top3: 0.6389 recall@top5: 0.9306 prec@top5: 0.4250 loss_action_cls: 0.0365 loss: 0.0365 2022/08/09 04:01:34 - mmengine - INFO - Epoch(train) [12][880/2881] lr: 1.0000e-02 eta: 4:34:57 time: 0.6307 data_time: 0.0223 memory: 13802 grad_norm: 0.1655 recall@thr=0.5: 0.7853 prec@thr=0.5: 0.8885 recall@top3: 0.8378 prec@top3: 0.8333 recall@top5: 0.9487 prec@top5: 0.5923 loss_action_cls: 0.0345 loss: 0.0345 2022/08/09 04:01:47 - mmengine - INFO - Epoch(train) [12][900/2881] lr: 1.0000e-02 eta: 4:34:43 time: 0.6269 data_time: 0.0211 memory: 13802 grad_norm: 0.1674 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.8333 recall@top3: 0.8373 prec@top3: 0.7460 recall@top5: 0.9405 prec@top5: 0.5238 loss_action_cls: 0.0347 loss: 0.0347 2022/08/09 04:02:00 - mmengine - INFO - Epoch(train) [12][920/2881] lr: 1.0000e-02 eta: 4:34:30 time: 0.6336 data_time: 0.0219 memory: 13802 grad_norm: 0.1655 recall@thr=0.5: 0.8740 prec@thr=0.5: 0.9867 recall@top3: 0.8813 prec@top3: 0.8800 recall@top5: 0.9687 prec@top5: 0.5920 loss_action_cls: 0.0375 loss: 0.0375 2022/08/09 04:02:12 - mmengine - INFO - Epoch(train) [12][940/2881] lr: 1.0000e-02 eta: 4:34:16 time: 0.6292 data_time: 0.0303 memory: 13802 grad_norm: 0.1601 recall@thr=0.5: 0.7091 prec@thr=0.5: 0.8333 recall@top3: 0.8152 prec@top3: 0.6818 recall@top5: 0.9227 prec@top5: 0.4818 loss_action_cls: 0.0321 loss: 0.0321 2022/08/09 04:02:24 - mmengine - INFO - Epoch(train) [12][960/2881] lr: 1.0000e-02 eta: 4:34:02 time: 0.6060 data_time: 0.0221 memory: 13802 grad_norm: 0.1616 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.5867 recall@top3: 0.7467 prec@top3: 0.5200 recall@top5: 0.8533 prec@top5: 0.3600 loss_action_cls: 0.0336 loss: 0.0336 2022/08/09 04:02:37 - mmengine - INFO - Epoch(train) [12][980/2881] lr: 1.0000e-02 eta: 4:33:48 time: 0.6295 data_time: 0.0208 memory: 13802 grad_norm: 0.1669 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.9118 recall@top3: 0.8725 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0350 loss: 0.0350 2022/08/09 04:02:50 - mmengine - INFO - Epoch(train) [12][1000/2881] lr: 1.0000e-02 eta: 4:33:35 time: 0.6376 data_time: 0.0244 memory: 13802 grad_norm: 0.1629 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9370 recall@top3: 0.9290 prec@top3: 0.6914 recall@top5: 0.9753 prec@top5: 0.4519 loss_action_cls: 0.0281 loss: 0.0281 2022/08/09 04:03:02 - mmengine - INFO - Epoch(train) [12][1020/2881] lr: 1.0000e-02 eta: 4:33:21 time: 0.6133 data_time: 0.0268 memory: 13802 grad_norm: 0.1632 recall@thr=0.5: 0.4386 prec@thr=0.5: 0.6140 recall@top3: 0.7193 prec@top3: 0.5439 recall@top5: 0.8860 prec@top5: 0.4105 loss_action_cls: 0.0352 loss: 0.0352 2022/08/09 04:03:15 - mmengine - INFO -