2022/08/10 14:40:52 - mmengine - INFO - 184378 out of 184378 frames are valid. 2022/08/10 14:41:02 - 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.shared_head.conv1.conv.weight - torch.Size([2304, 4608, 1, 1, 1]): Initialized by user-defined `init_weights` in ACRNHead roi_head.shared_head.conv1.bn.weight - torch.Size([2304]): The value is the same before and after calling `init_weights` of FastRCNN roi_head.shared_head.conv1.bn.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of FastRCNN roi_head.shared_head.conv2.conv.weight - torch.Size([2304, 2304, 1, 3, 3]): Initialized by user-defined `init_weights` in ACRNHead roi_head.shared_head.conv2.bn.weight - torch.Size([2304]): The value is the same before and after calling `init_weights` of FastRCNN roi_head.shared_head.conv2.bn.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of FastRCNN roi_head.bbox_head.fc_cls.weight - torch.Size([81, 2304]): Initialized by user-defined `init_weights` in BBoxHeadAVA roi_head.bbox_head.fc_cls.bias - torch.Size([81]): Initialized by user-defined `init_weights` in BBoxHeadAVA 2022/08/10 14:41:04 - mmengine - INFO - Load checkpoint from https://download.openmmlab.com/mmaction/recognition/slowfast/slowfast_r50_8x8x1_256e_kinetics400_rgb/slowfast_r50_8x8x1_256e_kinetics400_rgb_20200716-73547d2b.pth 2022/08/10 14:41:04 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb by HardDiskBackend. 2022/08/10 14:42:33 - mmengine - INFO - Epoch(train) [1][20/2881] lr: 1.0297e-02 eta: 1 day, 11:33:30 time: 4.4464 data_time: 2.2287 memory: 50370 grad_norm: 1.4110 recall@thr=0.5: 0.3667 prec@thr=0.5: 0.4500 recall@top3: 0.5083 prec@top3: 0.4167 recall@top5: 0.7250 prec@top5: 0.3300 loss_action_cls: 0.1738 loss: 0.1738 2022/08/10 14:42:57 - mmengine - INFO - Epoch(train) [1][40/2881] lr: 1.0609e-02 eta: 22:29:57 time: 1.1843 data_time: 0.0234 memory: 15280 grad_norm: 0.8421 recall@thr=0.5: 0.5296 prec@thr=0.5: 0.5694 recall@top3: 0.4741 prec@top3: 0.4444 recall@top5: 0.8889 prec@top5: 0.4889 loss_action_cls: 0.0966 loss: 0.0966 2022/08/10 14:43:22 - mmengine - INFO - Epoch(train) [1][60/2881] lr: 1.0922e-02 eta: 18:18:10 time: 1.2448 data_time: 0.0251 memory: 15376 grad_norm: 0.8080 recall@thr=0.5: 0.1974 prec@thr=0.5: 0.3421 recall@top3: 0.5614 prec@top3: 0.4912 recall@top5: 0.7281 prec@top5: 0.4105 loss_action_cls: 0.0916 loss: 0.0916 2022/08/10 14:43:42 - mmengine - INFO - Epoch(train) [1][80/2881] lr: 1.1234e-02 eta: 15:40:24 time: 0.9803 data_time: 0.0220 memory: 15280 grad_norm: 0.6307 recall@thr=0.5: 0.4250 prec@thr=0.5: 0.4542 recall@top3: 0.6000 prec@top3: 0.4667 recall@top5: 0.7542 prec@top5: 0.3800 loss_action_cls: 0.0825 loss: 0.0825 2022/08/10 14:44:03 - mmengine - INFO - Epoch(train) [1][100/2881] lr: 1.1547e-02 eta: 14:13:17 time: 1.0605 data_time: 0.0203 memory: 15529 grad_norm: 0.5906 recall@thr=0.5: 0.3278 prec@thr=0.5: 0.5556 recall@top3: 0.7074 prec@top3: 0.5000 recall@top5: 0.9148 prec@top5: 0.4222 loss_action_cls: 0.0733 loss: 0.0733 2022/08/10 14:44:21 - mmengine - INFO - Epoch(train) [1][120/2881] lr: 1.1859e-02 eta: 13:04:12 time: 0.9239 data_time: 0.0211 memory: 15299 grad_norm: 0.4793 recall@thr=0.5: 0.4298 prec@thr=0.5: 0.6053 recall@top3: 0.7544 prec@top3: 0.6316 recall@top5: 0.8246 prec@top5: 0.4211 loss_action_cls: 0.0765 loss: 0.0765 2022/08/10 14:44:38 - mmengine - INFO - Epoch(train) [1][140/2881] lr: 1.2171e-02 eta: 12:09:53 time: 0.8524 data_time: 0.0233 memory: 15299 grad_norm: 0.5570 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.5652 recall@top3: 0.7197 prec@top3: 0.5152 recall@top5: 0.9470 prec@top5: 0.4182 loss_action_cls: 0.0730 loss: 0.0730 2022/08/10 14:44:57 - mmengine - INFO - Epoch(train) [1][160/2881] lr: 1.2484e-02 eta: 11:34:30 time: 0.9431 data_time: 0.0198 memory: 15338 grad_norm: 0.5608 recall@thr=0.5: 0.3898 prec@thr=0.5: 0.5645 recall@top3: 0.5054 prec@top3: 0.5054 recall@top5: 0.8522 prec@top5: 0.5097 loss_action_cls: 0.0649 loss: 0.0649 2022/08/10 14:45:14 - mmengine - INFO - Epoch(train) [1][180/2881] lr: 1.2796e-02 eta: 11:01:43 time: 0.8452 data_time: 0.0195 memory: 15261 grad_norm: 0.5084 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7037 recall@top3: 0.7130 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4667 loss_action_cls: 0.0637 loss: 0.0637 2022/08/10 14:45:32 - mmengine - INFO - Epoch(train) [1][200/2881] lr: 1.3109e-02 eta: 10:36:52 time: 0.8753 data_time: 0.0192 memory: 15280 grad_norm: 0.5501 recall@thr=0.5: 0.3043 prec@thr=0.5: 0.6739 recall@top3: 0.7138 prec@top3: 0.6087 recall@top5: 0.8986 prec@top5: 0.4435 loss_action_cls: 0.0595 loss: 0.0595 2022/08/10 14:45:46 - mmengine - INFO - Epoch(train) [1][220/2881] lr: 1.3421e-02 eta: 10:10:05 time: 0.7276 data_time: 0.0196 memory: 15395 grad_norm: 0.5163 recall@thr=0.5: 0.5076 prec@thr=0.5: 0.5871 recall@top3: 0.6326 prec@top3: 0.4848 recall@top5: 0.8636 prec@top5: 0.4182 loss_action_cls: 0.0624 loss: 0.0624 2022/08/10 14:46:02 - mmengine - INFO - Epoch(train) [1][240/2881] lr: 1.3734e-02 eta: 9:49:20 time: 0.7682 data_time: 0.0192 memory: 15242 grad_norm: 0.4513 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.5294 recall@top3: 0.7941 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0589 loss: 0.0589 2022/08/10 14:46:18 - mmengine - INFO - Epoch(train) [1][260/2881] lr: 1.4046e-02 eta: 9:33:55 time: 0.8279 data_time: 0.0211 memory: 15242 grad_norm: 0.5134 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.7000 recall@top3: 0.6439 prec@top3: 0.6444 recall@top5: 0.8250 prec@top5: 0.5333 loss_action_cls: 0.0622 loss: 0.0622 2022/08/10 14:46:33 - mmengine - INFO - Epoch(train) [1][280/2881] lr: 1.4359e-02 eta: 9:17:37 time: 0.7378 data_time: 0.0195 memory: 15204 grad_norm: 0.4637 recall@thr=0.5: 0.4275 prec@thr=0.5: 0.6304 recall@top3: 0.5761 prec@top3: 0.6087 recall@top5: 0.8188 prec@top5: 0.4957 loss_action_cls: 0.0595 loss: 0.0595 2022/08/10 14:46:50 - mmengine - INFO - Epoch(train) [1][300/2881] lr: 1.4671e-02 eta: 9:07:59 time: 0.8808 data_time: 0.0191 memory: 15548 grad_norm: 0.4016 recall@thr=0.5: 0.4958 prec@thr=0.5: 0.7361 recall@top3: 0.7146 prec@top3: 0.5972 recall@top5: 0.8111 prec@top5: 0.4250 loss_action_cls: 0.0601 loss: 0.0601 2022/08/10 14:47:06 - mmengine - INFO - Epoch(train) [1][320/2881] lr: 1.4984e-02 eta: 8:56:05 time: 0.7657 data_time: 0.0186 memory: 15318 grad_norm: 0.4530 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.6667 recall@top3: 0.7760 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4625 loss_action_cls: 0.0598 loss: 0.0598 2022/08/10 14:47:22 - mmengine - INFO - Epoch(train) [1][340/2881] lr: 1.5296e-02 eta: 8:46:10 time: 0.7868 data_time: 0.0187 memory: 15395 grad_norm: 0.5334 recall@thr=0.5: 0.4911 prec@thr=0.5: 0.5476 recall@top3: 0.6637 prec@top3: 0.5357 recall@top5: 0.8631 prec@top5: 0.4286 loss_action_cls: 0.0618 loss: 0.0618 2022/08/10 14:47:36 - mmengine - INFO - Epoch(train) [1][360/2881] lr: 1.5608e-02 eta: 8:35:17 time: 0.7100 data_time: 0.0195 memory: 15299 grad_norm: 0.4948 recall@thr=0.5: 0.5076 prec@thr=0.5: 0.7197 recall@top3: 0.7500 prec@top3: 0.6970 recall@top5: 0.9015 prec@top5: 0.5000 loss_action_cls: 0.0584 loss: 0.0584 2022/08/10 14:47:52 - mmengine - INFO - Epoch(train) [1][380/2881] lr: 1.5921e-02 eta: 8:28:27 time: 0.8274 data_time: 0.0198 memory: 15338 grad_norm: 0.5289 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.5811 recall@top3: 0.6591 prec@top3: 0.5455 recall@top5: 0.8523 prec@top5: 0.4273 loss_action_cls: 0.0605 loss: 0.0605 2022/08/10 14:48:07 - mmengine - INFO - Epoch(train) [1][400/2881] lr: 1.6233e-02 eta: 8:19:46 time: 0.7213 data_time: 0.0181 memory: 15318 grad_norm: 0.4619 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.8444 recall@top3: 0.6278 prec@top3: 0.6000 recall@top5: 0.8000 prec@top5: 0.4533 loss_action_cls: 0.0648 loss: 0.0648 2022/08/10 14:48:22 - mmengine - INFO - Epoch(train) [1][420/2881] lr: 1.6546e-02 eta: 8:13:23 time: 0.7877 data_time: 0.0244 memory: 15376 grad_norm: 0.4772 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6468 recall@top3: 0.7698 prec@top3: 0.5079 recall@top5: 0.8492 prec@top5: 0.3429 loss_action_cls: 0.0628 loss: 0.0628 2022/08/10 14:48:38 - mmengine - INFO - Epoch(train) [1][440/2881] lr: 1.6858e-02 eta: 8:07:30 time: 0.7851 data_time: 0.0195 memory: 15472 grad_norm: 0.5205 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6771 recall@top3: 0.7083 prec@top3: 0.4167 recall@top5: 0.8021 prec@top5: 0.2875 loss_action_cls: 0.0589 loss: 0.0589 2022/08/10 14:48:53 - mmengine - INFO - Epoch(train) [1][460/2881] lr: 1.7171e-02 eta: 8:01:41 time: 0.7645 data_time: 0.0192 memory: 15223 grad_norm: 0.5095 recall@thr=0.5: 0.8274 prec@thr=0.5: 0.8304 recall@top3: 0.8690 prec@top3: 0.7976 recall@top5: 0.9821 prec@top5: 0.5357 loss_action_cls: 0.0531 loss: 0.0531 2022/08/10 14:49:08 - mmengine - INFO - Epoch(train) [1][480/2881] lr: 1.7483e-02 eta: 7:55:15 time: 0.7103 data_time: 0.0199 memory: 15280 grad_norm: 0.4666 recall@thr=0.5: 0.4470 prec@thr=0.5: 0.5530 recall@top3: 0.6288 prec@top3: 0.5606 recall@top5: 0.8409 prec@top5: 0.4455 loss_action_cls: 0.0534 loss: 0.0534 2022/08/10 14:49:24 - mmengine - INFO - Epoch(train) [1][500/2881] lr: 1.7796e-02 eta: 7:51:27 time: 0.8223 data_time: 0.0199 memory: 15318 grad_norm: 0.5217 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6683 recall@top3: 0.6458 prec@top3: 0.6333 recall@top5: 0.7500 prec@top5: 0.4500 loss_action_cls: 0.0614 loss: 0.0614 2022/08/10 14:49:39 - mmengine - INFO - Epoch(train) [1][520/2881] lr: 1.8108e-02 eta: 7:46:13 time: 0.7298 data_time: 0.0192 memory: 15280 grad_norm: 0.4420 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.7197 recall@top3: 0.6629 prec@top3: 0.5909 recall@top5: 0.7879 prec@top5: 0.4364 loss_action_cls: 0.0611 loss: 0.0611 2022/08/10 14:49:54 - mmengine - INFO - Epoch(train) [1][540/2881] lr: 1.8420e-02 eta: 7:41:39 time: 0.7452 data_time: 0.0237 memory: 15318 grad_norm: 0.4547 recall@thr=0.5: 0.6205 prec@thr=0.5: 0.7404 recall@top3: 0.6910 prec@top3: 0.6667 recall@top5: 0.7705 prec@top5: 0.4615 loss_action_cls: 0.0625 loss: 0.0625 2022/08/10 14:50:09 - mmengine - INFO - Epoch(train) [1][560/2881] lr: 1.8733e-02 eta: 7:37:34 time: 0.7569 data_time: 0.0190 memory: 15376 grad_norm: 0.4279 recall@thr=0.5: 0.5233 prec@thr=0.5: 0.6933 recall@top3: 0.6333 prec@top3: 0.6000 recall@top5: 0.7900 prec@top5: 0.4640 loss_action_cls: 0.0569 loss: 0.0569 2022/08/10 14:50:24 - mmengine - INFO - Epoch(train) [1][580/2881] lr: 1.9045e-02 eta: 7:33:44 time: 0.7553 data_time: 0.0206 memory: 15318 grad_norm: 0.4700 recall@thr=0.5: 0.5268 prec@thr=0.5: 0.6964 recall@top3: 0.6815 prec@top3: 0.6548 recall@top5: 0.8155 prec@top5: 0.4643 loss_action_cls: 0.0568 loss: 0.0568 2022/08/10 14:50:38 - mmengine - INFO - Epoch(train) [1][600/2881] lr: 1.9358e-02 eta: 7:29:26 time: 0.7105 data_time: 0.0186 memory: 15414 grad_norm: 0.4101 recall@thr=0.5: 0.4588 prec@thr=0.5: 0.6096 recall@top3: 0.6509 prec@top3: 0.6140 recall@top5: 0.8868 prec@top5: 0.4947 loss_action_cls: 0.0574 loss: 0.0574 2022/08/10 14:50:54 - mmengine - INFO - Epoch(train) [1][620/2881] lr: 1.9670e-02 eta: 7:26:43 time: 0.7979 data_time: 0.0196 memory: 15567 grad_norm: 0.3801 recall@thr=0.5: 0.4259 prec@thr=0.5: 0.5463 recall@top3: 0.5509 prec@top3: 0.4815 recall@top5: 0.8056 prec@top5: 0.4111 loss_action_cls: 0.0575 loss: 0.0575 2022/08/10 14:51:10 - mmengine - INFO - Epoch(train) [1][640/2881] lr: 1.9983e-02 eta: 7:23:56 time: 0.7831 data_time: 0.0199 memory: 15184 grad_norm: 0.4101 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.6067 recall@top3: 0.7333 prec@top3: 0.5111 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0516 loss: 0.0516 2022/08/10 14:51:23 - mmengine - INFO - Epoch(train) [1][660/2881] lr: 2.0295e-02 eta: 7:19:42 time: 0.6699 data_time: 0.0199 memory: 15376 grad_norm: 0.4389 recall@thr=0.5: 0.4261 prec@thr=0.5: 0.7246 recall@top3: 0.6681 prec@top3: 0.6667 recall@top5: 0.8696 prec@top5: 0.5391 loss_action_cls: 0.0564 loss: 0.0564 2022/08/10 14:51:37 - mmengine - INFO - Epoch(train) [1][680/2881] lr: 2.0608e-02 eta: 7:15:52 time: 0.6819 data_time: 0.0183 memory: 15299 grad_norm: 0.4954 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.5795 recall@top3: 0.6591 prec@top3: 0.5152 recall@top5: 0.8636 prec@top5: 0.4000 loss_action_cls: 0.0579 loss: 0.0579 2022/08/10 14:51:51 - mmengine - INFO - Epoch(train) [1][700/2881] lr: 2.0920e-02 eta: 7:12:21 time: 0.6897 data_time: 0.0202 memory: 15299 grad_norm: 0.4685 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.7826 recall@top3: 0.6304 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.5130 loss_action_cls: 0.0512 loss: 0.0512 2022/08/10 14:52:04 - mmengine - INFO - Epoch(train) [1][720/2881] lr: 2.1232e-02 eta: 7:09:08 time: 0.6988 data_time: 0.0198 memory: 15395 grad_norm: 0.5881 recall@thr=0.5: 0.5247 prec@thr=0.5: 0.4475 recall@top3: 0.5741 prec@top3: 0.4444 recall@top5: 0.7716 prec@top5: 0.3704 loss_action_cls: 0.0586 loss: 0.0586 2022/08/10 14:52:18 - mmengine - INFO - Epoch(train) [1][740/2881] lr: 2.1545e-02 eta: 7:05:48 time: 0.6777 data_time: 0.0186 memory: 15318 grad_norm: 0.4507 recall@thr=0.5: 0.5389 prec@thr=0.5: 0.6278 recall@top3: 0.6722 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.4267 loss_action_cls: 0.0528 loss: 0.0528 2022/08/10 14:52:33 - mmengine - INFO - Epoch(train) [1][760/2881] lr: 2.1857e-02 eta: 7:03:14 time: 0.7257 data_time: 0.0178 memory: 15376 grad_norm: 0.4653 recall@thr=0.5: 0.3364 prec@thr=0.5: 0.5606 recall@top3: 0.7182 prec@top3: 0.5152 recall@top5: 0.9182 prec@top5: 0.4182 loss_action_cls: 0.0578 loss: 0.0578 2022/08/10 14:52:48 - mmengine - INFO - Epoch(train) [1][780/2881] lr: 2.2170e-02 eta: 7:01:37 time: 0.7956 data_time: 0.0209 memory: 15414 grad_norm: 0.4524 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6477 recall@top3: 0.6464 prec@top3: 0.6126 recall@top5: 0.8721 prec@top5: 0.5027 loss_action_cls: 0.0632 loss: 0.0632 2022/08/10 14:53:02 - mmengine - INFO - Epoch(train) [1][800/2881] lr: 2.2482e-02 eta: 6:58:41 time: 0.6773 data_time: 0.0210 memory: 15338 grad_norm: 0.4811 recall@thr=0.5: 0.4246 prec@thr=0.5: 0.5635 recall@top3: 0.6349 prec@top3: 0.4762 recall@top5: 0.7579 prec@top5: 0.3524 loss_action_cls: 0.0546 loss: 0.0546 2022/08/10 14:53:16 - mmengine - INFO - Epoch(train) [1][820/2881] lr: 2.2795e-02 eta: 6:56:17 time: 0.7127 data_time: 0.0184 memory: 15318 grad_norm: 0.4593 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.5994 recall@top3: 0.6250 prec@top3: 0.5513 recall@top5: 0.8109 prec@top5: 0.4538 loss_action_cls: 0.0498 loss: 0.0498 2022/08/10 14:53:31 - mmengine - INFO - Epoch(train) [1][840/2881] lr: 2.3107e-02 eta: 6:54:25 time: 0.7505 data_time: 0.0207 memory: 15242 grad_norm: 0.4800 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.8553 recall@top3: 0.7281 prec@top3: 0.5965 recall@top5: 0.8596 prec@top5: 0.4316 loss_action_cls: 0.0560 loss: 0.0560 2022/08/10 14:53:46 - mmengine - INFO - Epoch(train) [1][860/2881] lr: 2.3420e-02 eta: 6:52:22 time: 0.7271 data_time: 0.0193 memory: 15452 grad_norm: 0.4324 recall@thr=0.5: 0.3424 prec@thr=0.5: 0.3833 recall@top3: 0.5646 prec@top3: 0.4861 recall@top5: 0.8417 prec@top5: 0.4333 loss_action_cls: 0.0566 loss: 0.0566 2022/08/10 14:54:01 - mmengine - INFO - Epoch(train) [1][880/2881] lr: 2.3732e-02 eta: 6:50:50 time: 0.7682 data_time: 0.0205 memory: 15299 grad_norm: 0.3994 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.7667 recall@top3: 0.8067 prec@top3: 0.8000 recall@top5: 0.9200 prec@top5: 0.5520 loss_action_cls: 0.0548 loss: 0.0548 2022/08/10 14:54:17 - mmengine - INFO - Epoch(train) [1][900/2881] lr: 2.4044e-02 eta: 6:49:33 time: 0.7862 data_time: 0.0226 memory: 15625 grad_norm: 0.5155 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5417 recall@top3: 0.5750 prec@top3: 0.4000 recall@top5: 0.6583 prec@top5: 0.2900 loss_action_cls: 0.0548 loss: 0.0548 2022/08/10 14:54:31 - mmengine - INFO - Epoch(train) [1][920/2881] lr: 2.4357e-02 eta: 6:47:34 time: 0.7146 data_time: 0.0186 memory: 15357 grad_norm: 0.4708 recall@thr=0.5: 0.5189 prec@thr=0.5: 0.5833 recall@top3: 0.6856 prec@top3: 0.5606 recall@top5: 0.9735 prec@top5: 0.4636 loss_action_cls: 0.0523 loss: 0.0523 2022/08/10 14:54:47 - mmengine - INFO - Epoch(train) [1][940/2881] lr: 2.4669e-02 eta: 6:46:29 time: 0.7969 data_time: 0.0220 memory: 15280 grad_norm: 0.4224 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.5873 recall@top3: 0.7460 prec@top3: 0.5556 recall@top5: 0.8651 prec@top5: 0.3810 loss_action_cls: 0.0507 loss: 0.0507 2022/08/10 14:55:01 - mmengine - INFO - Epoch(train) [1][960/2881] lr: 2.4982e-02 eta: 6:44:26 time: 0.6929 data_time: 0.0195 memory: 15567 grad_norm: 0.4787 recall@thr=0.5: 0.4861 prec@thr=0.5: 0.5000 recall@top3: 0.7111 prec@top3: 0.5444 recall@top5: 0.8722 prec@top5: 0.4133 loss_action_cls: 0.0545 loss: 0.0545 2022/08/10 14:55:16 - mmengine - INFO - Epoch(train) [1][980/2881] lr: 2.5294e-02 eta: 6:42:47 time: 0.7272 data_time: 0.0194 memory: 15318 grad_norm: 0.5008 recall@thr=0.5: 0.6230 prec@thr=0.5: 0.4960 recall@top3: 0.6825 prec@top3: 0.4762 recall@top5: 0.8651 prec@top5: 0.3619 loss_action_cls: 0.0537 loss: 0.0537 2022/08/10 14:55:30 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 14:55:30 - mmengine - INFO - Epoch(train) [1][1000/2881] lr: 2.5607e-02 eta: 6:41:19 time: 0.7408 data_time: 0.0200 memory: 15452 grad_norm: 0.5604 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.7308 recall@top3: 0.6603 prec@top3: 0.6410 recall@top5: 0.8750 prec@top5: 0.5308 loss_action_cls: 0.0597 loss: 0.0597 2022/08/10 14:55:46 - mmengine - INFO - Epoch(train) [1][1020/2881] lr: 2.5919e-02 eta: 6:40:09 time: 0.7700 data_time: 0.0237 memory: 15376 grad_norm: 0.4773 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7000 recall@top3: 0.7167 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0561 loss: 0.0561 2022/08/10 14:56:00 - mmengine - INFO - Epoch(train) [1][1040/2881] lr: 2.6232e-02 eta: 6:38:25 time: 0.7011 data_time: 0.0225 memory: 15318 grad_norm: 0.4682 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.8160 recall@top3: 0.7900 prec@top3: 0.6267 recall@top5: 0.8567 prec@top5: 0.4160 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 14:56:13 - mmengine - INFO - Epoch(train) [1][1060/2881] lr: 2.6544e-02 eta: 6:36:16 time: 0.6476 data_time: 0.0221 memory: 15280 grad_norm: 0.4751 recall@thr=0.5: 0.5374 prec@thr=0.5: 0.6897 recall@top3: 0.8075 prec@top3: 0.5747 recall@top5: 0.9368 prec@top5: 0.4069 loss_action_cls: 0.0547 loss: 0.0547 2022/08/10 14:56:26 - mmengine - INFO - Epoch(train) [1][1080/2881] lr: 2.6856e-02 eta: 6:34:29 time: 0.6815 data_time: 0.0193 memory: 15261 grad_norm: 0.4888 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.4246 recall@top3: 0.5952 prec@top3: 0.3968 recall@top5: 0.8135 prec@top5: 0.3333 loss_action_cls: 0.0573 loss: 0.0573 2022/08/10 14:56:41 - mmengine - INFO - Epoch(train) [1][1100/2881] lr: 2.7169e-02 eta: 6:33:10 time: 0.7320 data_time: 0.0183 memory: 15357 grad_norm: 0.4304 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7500 recall@top3: 0.6852 prec@top3: 0.5556 recall@top5: 0.8750 prec@top5: 0.4333 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 14:56:55 - mmengine - INFO - Epoch(train) [1][1120/2881] lr: 2.7481e-02 eta: 6:31:49 time: 0.7219 data_time: 0.0183 memory: 15338 grad_norm: 0.4483 recall@thr=0.5: 0.7324 prec@thr=0.5: 0.8333 recall@top3: 0.7618 prec@top3: 0.7059 recall@top5: 0.8549 prec@top5: 0.4824 loss_action_cls: 0.0559 loss: 0.0559 2022/08/10 14:57:09 - mmengine - INFO - Epoch(train) [1][1140/2881] lr: 2.7794e-02 eta: 6:30:09 time: 0.6765 data_time: 0.0209 memory: 15529 grad_norm: 0.4007 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7361 recall@top3: 0.7361 prec@top3: 0.7083 recall@top5: 0.9097 prec@top5: 0.5250 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 14:57:22 - mmengine - INFO - Epoch(train) [1][1160/2881] lr: 2.8106e-02 eta: 6:28:31 time: 0.6760 data_time: 0.0207 memory: 15452 grad_norm: 0.4020 recall@thr=0.5: 0.6033 prec@thr=0.5: 0.6287 recall@top3: 0.6533 prec@top3: 0.6000 recall@top5: 0.9067 prec@top5: 0.5040 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 14:57:36 - mmengine - INFO - Epoch(train) [1][1180/2881] lr: 2.8419e-02 eta: 6:26:48 time: 0.6602 data_time: 0.0214 memory: 15567 grad_norm: 0.4763 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5357 recall@top3: 0.6429 prec@top3: 0.5476 recall@top5: 0.9762 prec@top5: 0.4714 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 14:57:51 - mmengine - INFO - Epoch(train) [1][1200/2881] lr: 2.8731e-02 eta: 6:26:03 time: 0.7782 data_time: 0.0202 memory: 15491 grad_norm: 0.5065 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.6848 recall@top3: 0.7754 prec@top3: 0.6522 recall@top5: 0.9130 prec@top5: 0.4783 loss_action_cls: 0.0556 loss: 0.0556 2022/08/10 14:58:05 - mmengine - INFO - Epoch(train) [1][1220/2881] lr: 2.9044e-02 eta: 6:24:33 time: 0.6765 data_time: 0.0213 memory: 15338 grad_norm: 0.4258 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.6417 recall@top3: 0.7417 prec@top3: 0.4667 recall@top5: 0.9750 prec@top5: 0.3800 loss_action_cls: 0.0517 loss: 0.0517 2022/08/10 14:58:20 - mmengine - INFO - Epoch(train) [1][1240/2881] lr: 2.9356e-02 eta: 6:23:35 time: 0.7436 data_time: 0.0202 memory: 15854 grad_norm: 0.4725 recall@thr=0.5: 0.6031 prec@thr=0.5: 0.7346 recall@top3: 0.7358 prec@top3: 0.6296 recall@top5: 0.8821 prec@top5: 0.4593 loss_action_cls: 0.0535 loss: 0.0535 2022/08/10 14:58:33 - mmengine - INFO - Epoch(train) [1][1260/2881] lr: 2.9668e-02 eta: 6:22:08 time: 0.6749 data_time: 0.0190 memory: 15318 grad_norm: 0.4425 recall@thr=0.5: 0.6267 prec@thr=0.5: 0.5800 recall@top3: 0.7467 prec@top3: 0.6133 recall@top5: 0.9267 prec@top5: 0.4480 loss_action_cls: 0.0519 loss: 0.0519 2022/08/10 14:58:47 - mmengine - INFO - Epoch(train) [1][1280/2881] lr: 2.9981e-02 eta: 6:20:54 time: 0.6979 data_time: 0.0255 memory: 15376 grad_norm: 0.4070 recall@thr=0.5: 0.8011 prec@thr=0.5: 0.8226 recall@top3: 0.9409 prec@top3: 0.7849 recall@top5: 0.9839 prec@top5: 0.4968 loss_action_cls: 0.0471 loss: 0.0471 2022/08/10 14:59:01 - mmengine - INFO - Epoch(train) [1][1300/2881] lr: 3.0293e-02 eta: 6:19:35 time: 0.6845 data_time: 0.0179 memory: 15184 grad_norm: 0.4358 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.6186 recall@top3: 0.6603 prec@top3: 0.6538 recall@top5: 0.8173 prec@top5: 0.5000 loss_action_cls: 0.0571 loss: 0.0571 2022/08/10 14:59:15 - mmengine - INFO - Epoch(train) [1][1320/2881] lr: 3.0606e-02 eta: 6:18:26 time: 0.7008 data_time: 0.0279 memory: 15280 grad_norm: 0.4737 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8333 recall@top3: 0.7604 prec@top3: 0.6042 recall@top5: 0.9271 prec@top5: 0.4625 loss_action_cls: 0.0500 loss: 0.0500 2022/08/10 14:59:28 - mmengine - INFO - Epoch(train) [1][1340/2881] lr: 3.0918e-02 eta: 6:17:07 time: 0.6732 data_time: 0.0200 memory: 15338 grad_norm: 0.4364 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.7391 recall@top3: 0.7935 prec@top3: 0.7101 recall@top5: 0.9420 prec@top5: 0.5130 loss_action_cls: 0.0530 loss: 0.0530 2022/08/10 14:59:43 - mmengine - INFO - Epoch(train) [1][1360/2881] lr: 3.1231e-02 eta: 6:16:12 time: 0.7299 data_time: 0.0211 memory: 15280 grad_norm: 0.3961 recall@thr=0.5: 0.5343 prec@thr=0.5: 0.6373 recall@top3: 0.6520 prec@top3: 0.6275 recall@top5: 0.8529 prec@top5: 0.4941 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 14:59:58 - mmengine - INFO - Epoch(train) [1][1380/2881] lr: 3.1543e-02 eta: 6:15:22 time: 0.7372 data_time: 0.0208 memory: 15338 grad_norm: 0.3310 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.6603 recall@top3: 0.8269 prec@top3: 0.5641 recall@top5: 0.8910 prec@top5: 0.3692 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 15:00:11 - mmengine - INFO - Epoch(train) [1][1400/2881] lr: 3.1856e-02 eta: 6:14:15 time: 0.6904 data_time: 0.0208 memory: 15242 grad_norm: 0.4055 recall@thr=0.5: 0.6974 prec@thr=0.5: 0.8974 recall@top3: 0.8026 prec@top3: 0.7821 recall@top5: 0.9077 prec@top5: 0.5462 loss_action_cls: 0.0522 loss: 0.0522 2022/08/10 15:00:25 - mmengine - INFO - Epoch(train) [1][1420/2881] lr: 3.2168e-02 eta: 6:13:00 time: 0.6684 data_time: 0.0209 memory: 15223 grad_norm: 0.4191 recall@thr=0.5: 0.6285 prec@thr=0.5: 0.8472 recall@top3: 0.8368 prec@top3: 0.7639 recall@top5: 0.9792 prec@top5: 0.5667 loss_action_cls: 0.0518 loss: 0.0518 2022/08/10 15:00:40 - mmengine - INFO - Epoch(train) [1][1440/2881] lr: 3.2480e-02 eta: 6:12:23 time: 0.7622 data_time: 0.0193 memory: 15299 grad_norm: 0.5444 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.8409 recall@top3: 0.8333 prec@top3: 0.5758 recall@top5: 0.9394 prec@top5: 0.4000 loss_action_cls: 0.0537 loss: 0.0537 2022/08/10 15:00:56 - mmengine - INFO - Epoch(train) [1][1460/2881] lr: 3.2793e-02 eta: 6:11:58 time: 0.7937 data_time: 0.0241 memory: 15510 grad_norm: 0.4086 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.8067 recall@top3: 0.8133 prec@top3: 0.5867 recall@top5: 0.8667 prec@top5: 0.3840 loss_action_cls: 0.0544 loss: 0.0544 2022/08/10 15:01:10 - mmengine - INFO - Epoch(train) [1][1480/2881] lr: 3.3105e-02 eta: 6:11:01 time: 0.7064 data_time: 0.0210 memory: 15299 grad_norm: 0.3875 recall@thr=0.5: 0.3815 prec@thr=0.5: 0.4815 recall@top3: 0.7167 prec@top3: 0.5185 recall@top5: 0.9056 prec@top5: 0.4333 loss_action_cls: 0.0510 loss: 0.0510 2022/08/10 15:01:24 - mmengine - INFO - Epoch(train) [1][1500/2881] lr: 3.3418e-02 eta: 6:10:03 time: 0.7005 data_time: 0.0220 memory: 15357 grad_norm: 0.3757 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6569 recall@top3: 0.5980 prec@top3: 0.5686 recall@top5: 0.8235 prec@top5: 0.4824 loss_action_cls: 0.0546 loss: 0.0546 2022/08/10 15:01:37 - mmengine - INFO - Epoch(train) [1][1520/2881] lr: 3.3730e-02 eta: 6:08:48 time: 0.6482 data_time: 0.0205 memory: 15433 grad_norm: 0.4153 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5278 recall@top3: 0.8472 prec@top3: 0.6481 recall@top5: 0.8889 prec@top5: 0.4222 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 15:01:51 - mmengine - INFO - Epoch(train) [1][1540/2881] lr: 3.4043e-02 eta: 6:07:49 time: 0.6912 data_time: 0.0212 memory: 15299 grad_norm: 0.4002 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.6953 recall@top3: 0.7800 prec@top3: 0.7200 recall@top5: 0.9433 prec@top5: 0.5360 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 15:02:04 - mmengine - INFO - Epoch(train) [1][1560/2881] lr: 3.4355e-02 eta: 6:06:42 time: 0.6634 data_time: 0.0212 memory: 15318 grad_norm: 0.3777 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6812 recall@top3: 0.7826 prec@top3: 0.6667 recall@top5: 0.7826 prec@top5: 0.4000 loss_action_cls: 0.0493 loss: 0.0493 2022/08/10 15:02:19 - mmengine - INFO - Epoch(train) [1][1580/2881] lr: 3.4668e-02 eta: 6:06:00 time: 0.7311 data_time: 0.0204 memory: 15433 grad_norm: 0.4017 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7090 recall@top3: 0.8090 prec@top3: 0.7222 recall@top5: 0.9479 prec@top5: 0.5167 loss_action_cls: 0.0516 loss: 0.0516 2022/08/10 15:02:34 - mmengine - INFO - Epoch(train) [1][1600/2881] lr: 3.4980e-02 eta: 6:05:24 time: 0.7486 data_time: 0.0217 memory: 15318 grad_norm: 0.4328 recall@thr=0.5: 0.4071 prec@thr=0.5: 0.6731 recall@top3: 0.6378 prec@top3: 0.5897 recall@top5: 0.7949 prec@top5: 0.4385 loss_action_cls: 0.0507 loss: 0.0507 2022/08/10 15:02:48 - mmengine - INFO - Epoch(train) [1][1620/2881] lr: 3.5292e-02 eta: 6:04:39 time: 0.7210 data_time: 0.0210 memory: 15510 grad_norm: 0.3441 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7870 recall@top3: 0.7500 prec@top3: 0.6944 recall@top5: 0.9120 prec@top5: 0.4944 loss_action_cls: 0.0523 loss: 0.0523 2022/08/10 15:03:02 - mmengine - INFO - Epoch(train) [1][1640/2881] lr: 3.5605e-02 eta: 6:03:43 time: 0.6848 data_time: 0.0210 memory: 15223 grad_norm: 0.3558 recall@thr=0.5: 0.6920 prec@thr=0.5: 0.7319 recall@top3: 0.7826 prec@top3: 0.6667 recall@top5: 0.9638 prec@top5: 0.5043 loss_action_cls: 0.0503 loss: 0.0503 2022/08/10 15:03:15 - mmengine - INFO - Epoch(train) [1][1660/2881] lr: 3.5917e-02 eta: 6:02:40 time: 0.6572 data_time: 0.0214 memory: 15280 grad_norm: 0.4622 recall@thr=0.5: 0.6862 prec@thr=0.5: 0.8621 recall@top3: 0.8080 prec@top3: 0.7126 recall@top5: 0.9845 prec@top5: 0.5241 loss_action_cls: 0.0485 loss: 0.0485 2022/08/10 15:03:30 - mmengine - INFO - Epoch(train) [1][1680/2881] lr: 3.6230e-02 eta: 6:02:00 time: 0.7288 data_time: 0.0227 memory: 15261 grad_norm: 0.4472 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8981 recall@top3: 0.8519 prec@top3: 0.7037 recall@top5: 0.9537 prec@top5: 0.4778 loss_action_cls: 0.0540 loss: 0.0540 2022/08/10 15:03:44 - mmengine - INFO - Epoch(train) [1][1700/2881] lr: 3.6542e-02 eta: 6:01:15 time: 0.7089 data_time: 0.0234 memory: 15223 grad_norm: 0.4887 recall@thr=0.5: 0.4841 prec@thr=0.5: 0.5873 recall@top3: 0.7063 prec@top3: 0.5714 recall@top5: 0.8413 prec@top5: 0.4190 loss_action_cls: 0.0529 loss: 0.0529 2022/08/10 15:03:58 - mmengine - INFO - Epoch(train) [1][1720/2881] lr: 3.6855e-02 eta: 6:00:33 time: 0.7170 data_time: 0.0208 memory: 15299 grad_norm: 0.4139 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.6889 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.9556 prec@top5: 0.4267 loss_action_cls: 0.0542 loss: 0.0542 2022/08/10 15:04:13 - mmengine - INFO - Epoch(train) [1][1740/2881] lr: 3.7167e-02 eta: 5:59:57 time: 0.7356 data_time: 0.0237 memory: 15318 grad_norm: 0.3709 recall@thr=0.5: 0.2373 prec@thr=0.5: 0.4118 recall@top3: 0.4157 prec@top3: 0.3922 recall@top5: 0.7461 prec@top5: 0.3647 loss_action_cls: 0.0505 loss: 0.0505 2022/08/10 15:04:27 - mmengine - INFO - Epoch(train) [1][1760/2881] lr: 3.7480e-02 eta: 5:59:22 time: 0.7354 data_time: 0.0226 memory: 15338 grad_norm: 0.3938 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.8547 recall@top3: 0.7980 prec@top3: 0.7733 recall@top5: 0.8773 prec@top5: 0.5200 loss_action_cls: 0.0511 loss: 0.0511 2022/08/10 15:04:41 - mmengine - INFO - Epoch(train) [1][1780/2881] lr: 3.7792e-02 eta: 5:58:31 time: 0.6804 data_time: 0.0234 memory: 15242 grad_norm: 0.3689 recall@thr=0.5: 0.3780 prec@thr=0.5: 0.4732 recall@top3: 0.5952 prec@top3: 0.5238 recall@top5: 0.7679 prec@top5: 0.4143 loss_action_cls: 0.0538 loss: 0.0538 2022/08/10 15:05:00 - mmengine - INFO - Epoch(train) [1][1800/2881] lr: 3.8104e-02 eta: 5:58:58 time: 0.9380 data_time: 0.0205 memory: 15299 grad_norm: 0.3465 recall@thr=0.5: 0.5900 prec@thr=0.5: 0.5750 recall@top3: 0.6261 prec@top3: 0.5778 recall@top5: 0.8867 prec@top5: 0.5067 loss_action_cls: 0.0446 loss: 0.0446 2022/08/10 15:05:13 - mmengine - INFO - Epoch(train) [1][1820/2881] lr: 3.8417e-02 eta: 5:58:02 time: 0.6655 data_time: 0.0213 memory: 15414 grad_norm: 0.3942 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6714 recall@top3: 0.8651 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.4762 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 15:05:27 - mmengine - INFO - Epoch(train) [1][1840/2881] lr: 3.8729e-02 eta: 5:57:21 time: 0.7087 data_time: 0.0252 memory: 15280 grad_norm: 0.3968 recall@thr=0.5: 0.5637 prec@thr=0.5: 0.7157 recall@top3: 0.7353 prec@top3: 0.7647 recall@top5: 0.8627 prec@top5: 0.5529 loss_action_cls: 0.0511 loss: 0.0511 2022/08/10 15:05:41 - mmengine - INFO - Epoch(train) [1][1860/2881] lr: 3.9042e-02 eta: 5:56:35 time: 0.6899 data_time: 0.0205 memory: 15395 grad_norm: 0.3671 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.5778 recall@top3: 0.6583 prec@top3: 0.5556 recall@top5: 0.9667 prec@top5: 0.4467 loss_action_cls: 0.0497 loss: 0.0497 2022/08/10 15:05:55 - mmengine - INFO - Epoch(train) [1][1880/2881] lr: 3.9354e-02 eta: 5:55:49 time: 0.6900 data_time: 0.0257 memory: 15261 grad_norm: 0.4242 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.5784 recall@top3: 0.7794 prec@top3: 0.5686 recall@top5: 0.9559 prec@top5: 0.4235 loss_action_cls: 0.0494 loss: 0.0494 2022/08/10 15:06:10 - mmengine - INFO - Epoch(train) [1][1900/2881] lr: 3.9667e-02 eta: 5:55:22 time: 0.7530 data_time: 0.0219 memory: 15433 grad_norm: 0.4233 recall@thr=0.5: 0.6261 prec@thr=0.5: 0.7174 recall@top3: 0.7130 prec@top3: 0.6377 recall@top5: 0.8138 prec@top5: 0.4435 loss_action_cls: 0.0546 loss: 0.0546 2022/08/10 15:06:24 - mmengine - INFO - Epoch(train) [1][1920/2881] lr: 3.9979e-02 eta: 5:54:41 time: 0.7032 data_time: 0.0225 memory: 15299 grad_norm: 0.3458 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.5290 recall@top3: 0.7464 prec@top3: 0.6522 recall@top5: 0.8768 prec@top5: 0.4609 loss_action_cls: 0.0530 loss: 0.0530 2022/08/10 15:06:37 - mmengine - INFO - Epoch(train) [1][1940/2881] lr: 4.0292e-02 eta: 5:53:52 time: 0.6704 data_time: 0.0222 memory: 15357 grad_norm: 0.3527 recall@thr=0.5: 0.7065 prec@thr=0.5: 0.7391 recall@top3: 0.7029 prec@top3: 0.5507 recall@top5: 0.8406 prec@top5: 0.4174 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 15:06:52 - mmengine - INFO - Epoch(train) [1][1960/2881] lr: 4.0604e-02 eta: 5:53:16 time: 0.7172 data_time: 0.0243 memory: 15261 grad_norm: 0.3420 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.5741 recall@top3: 0.5772 prec@top3: 0.4938 recall@top5: 0.8241 prec@top5: 0.4148 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 15:07:06 - mmengine - INFO - Epoch(train) [1][1980/2881] lr: 4.0917e-02 eta: 5:52:37 time: 0.7051 data_time: 0.0260 memory: 15472 grad_norm: 0.3842 recall@thr=0.5: 0.6022 prec@thr=0.5: 0.6183 recall@top3: 0.7043 prec@top3: 0.5806 recall@top5: 0.8710 prec@top5: 0.4387 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 15:07:20 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 15:07:20 - mmengine - INFO - Epoch(train) [1][2000/2881] lr: 4.1229e-02 eta: 5:51:59 time: 0.7049 data_time: 0.0224 memory: 15433 grad_norm: 0.3154 recall@thr=0.5: 0.3590 prec@thr=0.5: 0.4487 recall@top3: 0.5385 prec@top3: 0.5128 recall@top5: 0.7949 prec@top5: 0.4615 loss_action_cls: 0.0491 loss: 0.0491 2022/08/10 15:07:33 - mmengine - INFO - Epoch(train) [1][2020/2881] lr: 4.1541e-02 eta: 5:51:08 time: 0.6544 data_time: 0.0206 memory: 15338 grad_norm: 0.4148 recall@thr=0.5: 0.6701 prec@thr=0.5: 0.8750 recall@top3: 0.7951 prec@top3: 0.7222 recall@top5: 0.9062 prec@top5: 0.5083 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 15:07:49 - mmengine - INFO - Epoch(train) [1][2040/2881] lr: 4.1854e-02 eta: 5:50:52 time: 0.7873 data_time: 0.0220 memory: 15338 grad_norm: 0.3828 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.7302 recall@top3: 0.5968 prec@top3: 0.5556 recall@top5: 0.8016 prec@top5: 0.4762 loss_action_cls: 0.0531 loss: 0.0531 2022/08/10 15:08:04 - mmengine - INFO - Epoch(train) [1][2060/2881] lr: 4.2166e-02 eta: 5:50:35 time: 0.7796 data_time: 0.0243 memory: 15299 grad_norm: 0.3803 recall@thr=0.5: 0.6130 prec@thr=0.5: 0.6771 recall@top3: 0.6906 prec@top3: 0.5833 recall@top5: 0.8865 prec@top5: 0.4500 loss_action_cls: 0.0518 loss: 0.0518 2022/08/10 15:08:21 - mmengine - INFO - Epoch(train) [1][2080/2881] lr: 4.2479e-02 eta: 5:50:30 time: 0.8284 data_time: 0.0227 memory: 15223 grad_norm: 0.3562 recall@thr=0.5: 0.6033 prec@thr=0.5: 0.5375 recall@top3: 0.6533 prec@top3: 0.4500 recall@top5: 0.8400 prec@top5: 0.3500 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 15:08:34 - mmengine - INFO - Epoch(train) [1][2100/2881] lr: 4.2791e-02 eta: 5:49:44 time: 0.6684 data_time: 0.0221 memory: 15280 grad_norm: 0.3810 recall@thr=0.5: 0.6186 prec@thr=0.5: 0.7692 recall@top3: 0.7468 prec@top3: 0.5769 recall@top5: 0.9006 prec@top5: 0.4308 loss_action_cls: 0.0517 loss: 0.0517 2022/08/10 15:08:49 - mmengine - INFO - Epoch(train) [1][2120/2881] lr: 4.3104e-02 eta: 5:49:15 time: 0.7337 data_time: 0.0210 memory: 15242 grad_norm: 0.3730 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.7381 recall@top3: 0.7040 prec@top3: 0.5397 recall@top5: 0.9683 prec@top5: 0.4857 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 15:09:04 - mmengine - INFO - Epoch(train) [1][2140/2881] lr: 4.3416e-02 eta: 5:48:56 time: 0.7692 data_time: 0.0252 memory: 15663 grad_norm: 0.3648 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.6667 recall@top3: 0.6583 prec@top3: 0.5500 recall@top5: 0.8667 prec@top5: 0.4300 loss_action_cls: 0.0519 loss: 0.0519 2022/08/10 15:09:20 - mmengine - INFO - Epoch(train) [1][2160/2881] lr: 4.3729e-02 eta: 5:48:33 time: 0.7570 data_time: 0.0217 memory: 15395 grad_norm: 0.2997 recall@thr=0.5: 0.5795 prec@thr=0.5: 0.7455 recall@top3: 0.6780 prec@top3: 0.6364 recall@top5: 0.9129 prec@top5: 0.4909 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 15:09:40 - mmengine - INFO - Epoch(train) [1][2180/2881] lr: 4.4041e-02 eta: 5:49:13 time: 1.0135 data_time: 0.0231 memory: 15318 grad_norm: 0.3888 recall@thr=0.5: 0.6699 prec@thr=0.5: 0.8718 recall@top3: 0.7756 prec@top3: 0.7179 recall@top5: 0.9423 prec@top5: 0.5538 loss_action_cls: 0.0530 loss: 0.0530 2022/08/10 15:09:53 - mmengine - INFO - Epoch(train) [1][2200/2881] lr: 4.4353e-02 eta: 5:48:32 time: 0.6811 data_time: 0.0241 memory: 15242 grad_norm: 0.3672 recall@thr=0.5: 0.7068 prec@thr=0.5: 0.7623 recall@top3: 0.6728 prec@top3: 0.7037 recall@top5: 0.8673 prec@top5: 0.5556 loss_action_cls: 0.0462 loss: 0.0462 2022/08/10 15:10:07 - mmengine - INFO - Epoch(train) [1][2220/2881] lr: 4.4666e-02 eta: 5:47:52 time: 0.6848 data_time: 0.0217 memory: 15318 grad_norm: 0.3478 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.8141 recall@top3: 0.7885 prec@top3: 0.7051 recall@top5: 0.8718 prec@top5: 0.4692 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 15:10:21 - mmengine - INFO - Epoch(train) [1][2240/2881] lr: 4.4978e-02 eta: 5:47:13 time: 0.6887 data_time: 0.0238 memory: 15338 grad_norm: 0.3354 recall@thr=0.5: 0.4887 prec@thr=0.5: 0.7202 recall@top3: 0.5780 prec@top3: 0.6190 recall@top5: 0.8024 prec@top5: 0.5214 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 15:10:34 - mmengine - INFO - Epoch(train) [1][2260/2881] lr: 4.5291e-02 eta: 5:46:31 time: 0.6689 data_time: 0.0219 memory: 15414 grad_norm: 0.3311 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.5556 recall@top3: 0.7593 prec@top3: 0.5370 recall@top5: 0.8796 prec@top5: 0.3889 loss_action_cls: 0.0510 loss: 0.0510 2022/08/10 15:10:49 - mmengine - INFO - Epoch(train) [1][2280/2881] lr: 4.5603e-02 eta: 5:45:58 time: 0.7085 data_time: 0.0199 memory: 15701 grad_norm: 0.3756 recall@thr=0.5: 0.4435 prec@thr=0.5: 0.6667 recall@top3: 0.6304 prec@top3: 0.5357 recall@top5: 0.8321 prec@top5: 0.4571 loss_action_cls: 0.0493 loss: 0.0493 2022/08/10 15:11:03 - mmengine - INFO - Epoch(train) [1][2300/2881] lr: 4.5916e-02 eta: 5:45:28 time: 0.7203 data_time: 0.0216 memory: 15318 grad_norm: 0.3821 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.6194 recall@top3: 0.7056 prec@top3: 0.5889 recall@top5: 0.8111 prec@top5: 0.4133 loss_action_cls: 0.0525 loss: 0.0525 2022/08/10 15:11:18 - mmengine - INFO - Epoch(train) [1][2320/2881] lr: 4.6228e-02 eta: 5:45:04 time: 0.7465 data_time: 0.0223 memory: 15376 grad_norm: 0.3131 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.6273 recall@top3: 0.7955 prec@top3: 0.6818 recall@top5: 0.9735 prec@top5: 0.5273 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 15:11:32 - mmengine - INFO - Epoch(train) [1][2340/2881] lr: 4.6541e-02 eta: 5:44:34 time: 0.7201 data_time: 0.0228 memory: 15280 grad_norm: 0.3450 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7240 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.9609 prec@top5: 0.4375 loss_action_cls: 0.0552 loss: 0.0552 2022/08/10 15:11:46 - mmengine - INFO - Epoch(train) [1][2360/2881] lr: 4.6853e-02 eta: 5:44:01 time: 0.7027 data_time: 0.0217 memory: 15452 grad_norm: 0.3243 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8175 recall@top3: 0.7135 prec@top3: 0.7460 recall@top5: 0.8810 prec@top5: 0.5619 loss_action_cls: 0.0506 loss: 0.0506 2022/08/10 15:12:01 - mmengine - INFO - Epoch(train) [1][2380/2881] lr: 4.7165e-02 eta: 5:43:35 time: 0.7333 data_time: 0.0212 memory: 15414 grad_norm: 0.3430 recall@thr=0.5: 0.7152 prec@thr=0.5: 0.7980 recall@top3: 0.8237 prec@top3: 0.6768 recall@top5: 0.9121 prec@top5: 0.4545 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 15:12:16 - mmengine - INFO - Epoch(train) [1][2400/2881] lr: 4.7478e-02 eta: 5:43:09 time: 0.7308 data_time: 0.0243 memory: 15261 grad_norm: 0.3601 recall@thr=0.5: 0.5309 prec@thr=0.5: 0.4938 recall@top3: 0.7068 prec@top3: 0.5679 recall@top5: 0.9537 prec@top5: 0.4593 loss_action_cls: 0.0483 loss: 0.0483 2022/08/10 15:12:30 - mmengine - INFO - Epoch(train) [1][2420/2881] lr: 4.7790e-02 eta: 5:42:37 time: 0.7060 data_time: 0.0208 memory: 15395 grad_norm: 0.2852 recall@thr=0.5: 0.7238 prec@thr=0.5: 0.7262 recall@top3: 0.7714 prec@top3: 0.6667 recall@top5: 0.8857 prec@top5: 0.4667 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 15:12:43 - mmengine - INFO - Epoch(train) [1][2440/2881] lr: 4.8103e-02 eta: 5:42:01 time: 0.6837 data_time: 0.0215 memory: 15261 grad_norm: 0.2951 recall@thr=0.5: 0.5772 prec@thr=0.5: 0.8158 recall@top3: 0.6825 prec@top3: 0.6316 recall@top5: 0.8482 prec@top5: 0.4947 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 15:12:57 - mmengine - INFO - Epoch(train) [1][2460/2881] lr: 4.8415e-02 eta: 5:41:27 time: 0.6932 data_time: 0.0232 memory: 15299 grad_norm: 0.3438 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.7029 recall@top3: 0.8551 prec@top3: 0.7101 recall@top5: 0.9457 prec@top5: 0.4783 loss_action_cls: 0.0504 loss: 0.0504 2022/08/10 15:13:11 - mmengine - INFO - Epoch(train) [1][2480/2881] lr: 4.8728e-02 eta: 5:40:55 time: 0.7009 data_time: 0.0263 memory: 15299 grad_norm: 0.3344 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.6891 recall@top3: 0.7692 prec@top3: 0.6538 recall@top5: 0.8974 prec@top5: 0.4692 loss_action_cls: 0.0464 loss: 0.0464 2022/08/10 15:13:25 - mmengine - INFO - Epoch(train) [1][2500/2881] lr: 4.9040e-02 eta: 5:40:21 time: 0.6897 data_time: 0.0218 memory: 15395 grad_norm: 0.3069 recall@thr=0.5: 0.2278 prec@thr=0.5: 0.4278 recall@top3: 0.5000 prec@top3: 0.5111 recall@top5: 0.6333 prec@top5: 0.4000 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 15:13:39 - mmengine - INFO - Epoch(train) [1][2520/2881] lr: 4.9353e-02 eta: 5:39:55 time: 0.7219 data_time: 0.0217 memory: 15433 grad_norm: 0.3612 recall@thr=0.5: 0.4571 prec@thr=0.5: 0.4762 recall@top3: 0.7556 prec@top3: 0.5397 recall@top5: 0.9762 prec@top5: 0.4381 loss_action_cls: 0.0540 loss: 0.0540 2022/08/10 15:13:53 - mmengine - INFO - Epoch(train) [1][2540/2881] lr: 4.9665e-02 eta: 5:39:21 time: 0.6897 data_time: 0.0266 memory: 15357 grad_norm: 0.3674 recall@thr=0.5: 0.6577 prec@thr=0.5: 0.6815 recall@top3: 0.8155 prec@top3: 0.5476 recall@top5: 0.8929 prec@top5: 0.3714 loss_action_cls: 0.0511 loss: 0.0511 2022/08/10 15:14:08 - mmengine - INFO - Epoch(train) [1][2560/2881] lr: 4.9977e-02 eta: 5:38:55 time: 0.7229 data_time: 0.0209 memory: 15414 grad_norm: 0.3193 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6771 recall@top3: 0.7396 prec@top3: 0.7083 recall@top5: 0.9236 prec@top5: 0.5417 loss_action_cls: 0.0524 loss: 0.0524 2022/08/10 15:14:23 - mmengine - INFO - Epoch(train) [1][2580/2881] lr: 5.0290e-02 eta: 5:38:35 time: 0.7523 data_time: 0.0219 memory: 15433 grad_norm: 0.3943 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.6667 recall@top3: 0.7917 prec@top3: 0.6389 recall@top5: 0.9583 prec@top5: 0.4750 loss_action_cls: 0.0495 loss: 0.0495 2022/08/10 15:14:37 - mmengine - INFO - Epoch(train) [1][2600/2881] lr: 5.0602e-02 eta: 5:38:11 time: 0.7303 data_time: 0.0280 memory: 15472 grad_norm: 0.3864 recall@thr=0.5: 0.5772 prec@thr=0.5: 0.5401 recall@top3: 0.6296 prec@top3: 0.4321 recall@top5: 0.7654 prec@top5: 0.3259 loss_action_cls: 0.0518 loss: 0.0518 2022/08/10 15:14:51 - mmengine - INFO - Epoch(train) [1][2620/2881] lr: 5.0915e-02 eta: 5:37:41 time: 0.7011 data_time: 0.0237 memory: 15472 grad_norm: 0.3522 recall@thr=0.5: 0.6149 prec@thr=0.5: 0.6034 recall@top3: 0.7011 prec@top3: 0.5977 recall@top5: 0.8707 prec@top5: 0.4414 loss_action_cls: 0.0505 loss: 0.0505 2022/08/10 15:15:06 - mmengine - INFO - Epoch(train) [1][2640/2881] lr: 5.1227e-02 eta: 5:37:13 time: 0.7142 data_time: 0.0229 memory: 15357 grad_norm: 0.3079 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6833 recall@top3: 0.7958 prec@top3: 0.7000 recall@top5: 0.9125 prec@top5: 0.4800 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 15:15:19 - mmengine - INFO - Epoch(train) [1][2660/2881] lr: 5.1540e-02 eta: 5:36:34 time: 0.6533 data_time: 0.0255 memory: 15242 grad_norm: 0.3431 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.7833 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.9417 prec@top5: 0.4900 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 15:15:33 - mmengine - INFO - Epoch(train) [1][2680/2881] lr: 5.1852e-02 eta: 5:36:04 time: 0.6951 data_time: 0.0213 memory: 15223 grad_norm: 0.3488 recall@thr=0.5: 0.5064 prec@thr=0.5: 0.6667 recall@top3: 0.7115 prec@top3: 0.5513 recall@top5: 0.8974 prec@top5: 0.4308 loss_action_cls: 0.0549 loss: 0.0549 2022/08/10 15:15:46 - mmengine - INFO - Epoch(train) [1][2700/2881] lr: 5.2165e-02 eta: 5:35:28 time: 0.6676 data_time: 0.0208 memory: 15261 grad_norm: 0.3242 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.7292 recall@top3: 0.7014 prec@top3: 0.5833 recall@top5: 0.8542 prec@top5: 0.4417 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 15:16:00 - mmengine - INFO - Epoch(train) [1][2720/2881] lr: 5.2477e-02 eta: 5:34:57 time: 0.6875 data_time: 0.0236 memory: 15280 grad_norm: 0.3477 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.6491 recall@top3: 0.6693 prec@top3: 0.5965 recall@top5: 0.9307 prec@top5: 0.5158 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 15:16:16 - mmengine - INFO - Epoch(train) [1][2740/2881] lr: 5.2789e-02 eta: 5:34:53 time: 0.8293 data_time: 0.0262 memory: 15510 grad_norm: 0.3433 recall@thr=0.5: 0.5720 prec@thr=0.5: 0.7348 recall@top3: 0.6818 prec@top3: 0.6364 recall@top5: 0.9508 prec@top5: 0.5273 loss_action_cls: 0.0514 loss: 0.0514 2022/08/10 15:16:32 - mmengine - INFO - Epoch(train) [1][2760/2881] lr: 5.3102e-02 eta: 5:34:35 time: 0.7600 data_time: 0.0239 memory: 15204 grad_norm: 0.2941 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.7333 recall@top3: 0.8111 prec@top3: 0.6444 recall@top5: 0.9333 prec@top5: 0.4533 loss_action_cls: 0.0507 loss: 0.0507 2022/08/10 15:16:47 - mmengine - INFO - Epoch(train) [1][2780/2881] lr: 5.3414e-02 eta: 5:34:20 time: 0.7719 data_time: 0.0241 memory: 15318 grad_norm: 0.3599 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.7460 recall@top3: 0.8810 prec@top3: 0.6825 recall@top5: 0.9206 prec@top5: 0.4381 loss_action_cls: 0.0505 loss: 0.0505 2022/08/10 15:17:01 - mmengine - INFO - Epoch(train) [1][2800/2881] lr: 5.3727e-02 eta: 5:33:54 time: 0.7130 data_time: 0.0242 memory: 15472 grad_norm: 0.3397 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6944 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.9271 prec@top5: 0.4333 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 15:17:15 - mmengine - INFO - Epoch(train) [1][2820/2881] lr: 5.4039e-02 eta: 5:33:22 time: 0.6809 data_time: 0.0239 memory: 15433 grad_norm: 0.3805 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.7647 recall@top3: 0.8235 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4824 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 15:17:29 - mmengine - INFO - Epoch(train) [1][2840/2881] lr: 5.4352e-02 eta: 5:32:53 time: 0.6934 data_time: 0.0232 memory: 15510 grad_norm: 0.3376 recall@thr=0.5: 0.5861 prec@thr=0.5: 0.7685 recall@top3: 0.6398 prec@top3: 0.5741 recall@top5: 0.9194 prec@top5: 0.5222 loss_action_cls: 0.0479 loss: 0.0479 2022/08/10 15:17:43 - mmengine - INFO - Epoch(train) [1][2860/2881] lr: 5.4664e-02 eta: 5:32:31 time: 0.7343 data_time: 0.0253 memory: 15280 grad_norm: 0.3561 recall@thr=0.5: 0.4781 prec@thr=0.5: 0.7895 recall@top3: 0.7456 prec@top3: 0.6667 recall@top5: 0.8246 prec@top5: 0.4526 loss_action_cls: 0.0499 loss: 0.0499 2022/08/10 15:17:58 - mmengine - INFO - Epoch(train) [1][2880/2881] lr: 5.4977e-02 eta: 5:32:08 time: 0.7288 data_time: 0.0249 memory: 15357 grad_norm: 0.3027 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8246 recall@top3: 0.8816 prec@top3: 0.6140 recall@top5: 0.9605 prec@top5: 0.4105 loss_action_cls: 0.0497 loss: 0.0497 2022/08/10 15:17:59 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 15:17:59 - mmengine - INFO - Epoch(train) [1][2881/2881] lr: 5.4992e-02 eta: 5:32:08 time: 0.7253 data_time: 0.0235 memory: 15108 grad_norm: 0.3009 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6500 recall@top3: 0.7583 prec@top3: 0.6000 recall@top5: 0.8500 prec@top5: 0.4100 loss_action_cls: 0.0488 loss: 0.0488 2022/08/10 15:17:59 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/10 15:19:01 - mmengine - INFO - Epoch(val) [1][20/6282] eta: 4:23:10 time: 2.5216 data_time: 1.8607 memory: 38494 2022/08/10 15:19:01 - mmengine - INFO - Epoch(val) [1][40/6282] eta: 0:04:48 time: 0.0461 data_time: 0.0025 memory: 1670 2022/08/10 15:19:02 - mmengine - INFO - Epoch(val) [1][60/6282] eta: 0:04:56 time: 0.0476 data_time: 0.0029 memory: 1670 2022/08/10 15:19:03 - mmengine - INFO - Epoch(val) [1][80/6282] eta: 0:04:49 time: 0.0467 data_time: 0.0029 memory: 1670 2022/08/10 15:19:04 - mmengine - INFO - Epoch(val) [1][100/6282] eta: 0:04:52 time: 0.0473 data_time: 0.0030 memory: 1670 2022/08/10 15:19:11 - mmengine - INFO - Epoch(val) [1][120/6282] eta: 0:32:54 time: 0.3204 data_time: 0.0046 memory: 38527 2022/08/10 15:19:12 - mmengine - INFO - Epoch(val) [1][140/6282] eta: 0:07:13 time: 0.0706 data_time: 0.0152 memory: 1704 2022/08/10 15:19:13 - mmengine - INFO - Epoch(val) [1][160/6282] eta: 0:05:45 time: 0.0565 data_time: 0.0026 memory: 1704 2022/08/10 15:19:14 - mmengine - INFO - Epoch(val) [1][180/6282] eta: 0:06:14 time: 0.0614 data_time: 0.0028 memory: 1704 2022/08/10 15:19:22 - mmengine - INFO - Epoch(val) [1][200/6282] eta: 0:37:02 time: 0.3655 data_time: 0.0026 memory: 38500 2022/08/10 15:19:24 - mmengine - INFO - Epoch(val) [1][220/6282] eta: 0:12:14 time: 0.1211 data_time: 0.0024 memory: 1677 2022/08/10 15:19:27 - mmengine - INFO - Epoch(val) [1][240/6282] eta: 0:14:22 time: 0.1428 data_time: 0.0851 memory: 1677 2022/08/10 15:19:28 - mmengine - INFO - Epoch(val) [1][260/6282] eta: 0:05:56 time: 0.0592 data_time: 0.0150 memory: 1677 2022/08/10 15:19:30 - mmengine - INFO - Epoch(val) [1][280/6282] eta: 0:06:39 time: 0.0666 data_time: 0.0198 memory: 1677 2022/08/10 15:19:31 - mmengine - INFO - Epoch(val) [1][300/6282] eta: 0:05:55 time: 0.0594 data_time: 0.0029 memory: 1704 2022/08/10 15:19:32 - mmengine - INFO - Epoch(val) [1][320/6282] eta: 0:08:29 time: 0.0855 data_time: 0.0051 memory: 1906 2022/08/10 15:19:34 - mmengine - INFO - Epoch(val) [1][340/6282] eta: 0:07:59 time: 0.0807 data_time: 0.0058 memory: 1774 2022/08/10 15:19:36 - mmengine - INFO - Epoch(val) [1][360/6282] eta: 0:08:20 time: 0.0844 data_time: 0.0073 memory: 1840 2022/08/10 15:19:37 - mmengine - INFO - Epoch(val) [1][380/6282] eta: 0:07:18 time: 0.0744 data_time: 0.0055 memory: 1840 2022/08/10 15:19:39 - mmengine - INFO - Epoch(val) [1][400/6282] eta: 0:08:06 time: 0.0827 data_time: 0.0042 memory: 7305 2022/08/10 15:19:40 - mmengine - INFO - Epoch(val) [1][420/6282] eta: 0:05:44 time: 0.0587 data_time: 0.0049 memory: 1677 2022/08/10 15:19:43 - mmengine - INFO - Epoch(val) [1][440/6282] eta: 0:16:18 time: 0.1674 data_time: 0.0930 memory: 1677 2022/08/10 15:19:45 - mmengine - INFO - Epoch(val) [1][460/6282] eta: 0:07:27 time: 0.0769 data_time: 0.0329 memory: 1677 2022/08/10 15:19:49 - mmengine - INFO - Epoch(val) [1][480/6282] eta: 0:17:49 time: 0.1844 data_time: 0.1389 memory: 1677 2022/08/10 15:19:50 - mmengine - INFO - Epoch(val) [1][500/6282] eta: 0:04:56 time: 0.0513 data_time: 0.0024 memory: 1677 2022/08/10 15:19:51 - mmengine - INFO - Epoch(val) [1][520/6282] eta: 0:04:56 time: 0.0515 data_time: 0.0038 memory: 1677 2022/08/10 15:19:52 - mmengine - INFO - Epoch(val) [1][540/6282] eta: 0:07:22 time: 0.0771 data_time: 0.0039 memory: 1677 2022/08/10 15:19:53 - mmengine - INFO - Epoch(val) [1][560/6282] eta: 0:05:11 time: 0.0544 data_time: 0.0038 memory: 1677 2022/08/10 15:19:55 - mmengine - INFO - Epoch(val) [1][580/6282] eta: 0:05:19 time: 0.0560 data_time: 0.0040 memory: 1677 2022/08/10 15:19:56 - mmengine - INFO - Epoch(val) [1][600/6282] eta: 0:05:29 time: 0.0580 data_time: 0.0041 memory: 1677 2022/08/10 15:20:00 - mmengine - INFO - Epoch(val) [1][620/6282] eta: 0:21:37 time: 0.2292 data_time: 0.0036 memory: 38497 2022/08/10 15:20:03 - mmengine - INFO - Epoch(val) [1][640/6282] eta: 0:11:37 time: 0.1236 data_time: 0.0022 memory: 1674 2022/08/10 15:20:04 - mmengine - INFO - Epoch(val) [1][660/6282] eta: 0:04:05 time: 0.0437 data_time: 0.0023 memory: 1674 2022/08/10 15:20:04 - mmengine - INFO - Epoch(val) [1][680/6282] eta: 0:04:06 time: 0.0440 data_time: 0.0021 memory: 1674 2022/08/10 15:20:05 - mmengine - INFO - Epoch(val) [1][700/6282] eta: 0:04:26 time: 0.0477 data_time: 0.0026 memory: 1674 2022/08/10 15:20:08 - mmengine - INFO - Epoch(val) [1][720/6282] eta: 0:14:01 time: 0.1512 data_time: 0.0064 memory: 1939 2022/08/10 15:20:10 - mmengine - INFO - Epoch(val) [1][740/6282] eta: 0:06:16 time: 0.0680 data_time: 0.0029 memory: 1806 2022/08/10 15:20:12 - mmengine - INFO - Epoch(val) [1][760/6282] eta: 0:09:18 time: 0.1012 data_time: 0.0265 memory: 1774 2022/08/10 15:20:15 - mmengine - INFO - Epoch(val) [1][780/6282] eta: 0:13:38 time: 0.1487 data_time: 0.0801 memory: 1704 2022/08/10 15:20:18 - mmengine - INFO - Epoch(val) [1][800/6282] eta: 0:12:29 time: 0.1368 data_time: 0.0703 memory: 1704 2022/08/10 15:20:20 - mmengine - INFO - Epoch(val) [1][820/6282] eta: 0:08:50 time: 0.0972 data_time: 0.0389 memory: 1704 2022/08/10 15:20:21 - mmengine - INFO - Epoch(val) [1][840/6282] eta: 0:06:25 time: 0.0708 data_time: 0.0065 memory: 1722 2022/08/10 15:20:22 - mmengine - INFO - Epoch(val) [1][860/6282] eta: 0:06:33 time: 0.0725 data_time: 0.0043 memory: 1677 2022/08/10 15:20:24 - mmengine - INFO - Epoch(val) [1][880/6282] eta: 0:05:20 time: 0.0593 data_time: 0.0039 memory: 1677 2022/08/10 15:20:25 - mmengine - INFO - Epoch(val) [1][900/6282] eta: 0:05:21 time: 0.0598 data_time: 0.0048 memory: 1677 2022/08/10 15:20:26 - mmengine - INFO - Epoch(val) [1][920/6282] eta: 0:05:28 time: 0.0614 data_time: 0.0046 memory: 1697 2022/08/10 15:20:27 - mmengine - INFO - Epoch(val) [1][940/6282] eta: 0:05:08 time: 0.0577 data_time: 0.0051 memory: 1670 2022/08/10 15:20:28 - mmengine - INFO - Epoch(val) [1][960/6282] eta: 0:04:31 time: 0.0510 data_time: 0.0041 memory: 1670 2022/08/10 15:20:29 - mmengine - INFO - Epoch(val) [1][980/6282] eta: 0:04:41 time: 0.0531 data_time: 0.0047 memory: 1670 2022/08/10 15:20:30 - mmengine - INFO - Epoch(val) [1][1000/6282] eta: 0:04:53 time: 0.0555 data_time: 0.0044 memory: 1670 2022/08/10 15:20:32 - mmengine - INFO - Epoch(val) [1][1020/6282] eta: 0:07:11 time: 0.0821 data_time: 0.0034 memory: 1670 2022/08/10 15:20:33 - mmengine - INFO - Epoch(val) [1][1040/6282] eta: 0:06:30 time: 0.0745 data_time: 0.0271 memory: 1677 2022/08/10 15:20:36 - mmengine - INFO - Epoch(val) [1][1060/6282] eta: 0:09:28 time: 0.1089 data_time: 0.0608 memory: 1677 2022/08/10 15:20:37 - mmengine - INFO - Epoch(val) [1][1080/6282] eta: 0:06:04 time: 0.0700 data_time: 0.0236 memory: 1677 2022/08/10 15:20:38 - mmengine - INFO - Epoch(val) [1][1100/6282] eta: 0:04:08 time: 0.0480 data_time: 0.0027 memory: 1677 2022/08/10 15:20:39 - mmengine - INFO - Epoch(val) [1][1120/6282] eta: 0:04:20 time: 0.0504 data_time: 0.0029 memory: 1677 2022/08/10 15:20:44 - mmengine - INFO - Epoch(val) [1][1140/6282] eta: 0:23:04 time: 0.2693 data_time: 0.2215 memory: 1677 2022/08/10 15:20:45 - mmengine - INFO - Epoch(val) [1][1160/6282] eta: 0:04:27 time: 0.0521 data_time: 0.0021 memory: 1677 2022/08/10 15:20:48 - mmengine - INFO - Epoch(val) [1][1180/6282] eta: 0:09:57 time: 0.1171 data_time: 0.0676 memory: 1677 2022/08/10 15:20:49 - mmengine - INFO - Epoch(val) [1][1200/6282] eta: 0:05:15 time: 0.0621 data_time: 0.0029 memory: 1747 2022/08/10 15:20:50 - mmengine - INFO - Epoch(val) [1][1220/6282] eta: 0:05:18 time: 0.0629 data_time: 0.0049 memory: 1677 2022/08/10 15:20:53 - mmengine - INFO - Epoch(val) [1][1240/6282] eta: 0:10:24 time: 0.1239 data_time: 0.0443 memory: 1704 2022/08/10 15:20:55 - mmengine - INFO - Epoch(val) [1][1260/6282] eta: 0:10:58 time: 0.1311 data_time: 0.0622 memory: 1704 2022/08/10 15:20:59 - mmengine - INFO - Epoch(val) [1][1280/6282] eta: 0:13:56 time: 0.1672 data_time: 0.0994 memory: 1704 2022/08/10 15:21:01 - mmengine - INFO - Epoch(val) [1][1300/6282] eta: 0:11:16 time: 0.1358 data_time: 0.0634 memory: 1704 2022/08/10 15:21:05 - mmengine - INFO - Epoch(val) [1][1320/6282] eta: 0:13:54 time: 0.1681 data_time: 0.0971 memory: 1704 2022/08/10 15:21:08 - mmengine - INFO - Epoch(val) [1][1340/6282] eta: 0:11:39 time: 0.1415 data_time: 0.0760 memory: 1704 2022/08/10 15:21:11 - mmengine - INFO - Epoch(val) [1][1360/6282] eta: 0:15:03 time: 0.1836 data_time: 0.1178 memory: 1704 2022/08/10 15:21:14 - mmengine - INFO - Epoch(val) [1][1380/6282] eta: 0:11:25 time: 0.1398 data_time: 0.0532 memory: 1704 2022/08/10 15:21:18 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:15:39 time: 0.1925 data_time: 0.1279 memory: 1704 2022/08/10 15:21:21 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:11:19 time: 0.1397 data_time: 0.0764 memory: 1704 2022/08/10 15:21:23 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:08:49 time: 0.1093 data_time: 0.0393 memory: 1715 2022/08/10 15:21:25 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:06:30 time: 0.0809 data_time: 0.0040 memory: 1873 2022/08/10 15:21:26 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:05:28 time: 0.0684 data_time: 0.0050 memory: 1806 2022/08/10 15:21:27 - mmengine - INFO - Epoch(val) [1][1500/6282] eta: 0:05:39 time: 0.0710 data_time: 0.0037 memory: 1806 2022/08/10 15:21:32 - mmengine - INFO - Epoch(val) [1][1520/6282] eta: 0:17:54 time: 0.2257 data_time: 0.0054 memory: 38564 2022/08/10 15:21:34 - mmengine - INFO - Epoch(val) [1][1540/6282] eta: 0:09:46 time: 0.1236 data_time: 0.0054 memory: 1798 2022/08/10 15:21:36 - mmengine - INFO - Epoch(val) [1][1560/6282] eta: 0:06:32 time: 0.0832 data_time: 0.0046 memory: 1798 2022/08/10 15:21:38 - mmengine - INFO - Epoch(val) [1][1580/6282] eta: 0:06:11 time: 0.0790 data_time: 0.0037 memory: 1798 2022/08/10 15:21:39 - mmengine - INFO - Epoch(val) [1][1600/6282] eta: 0:06:09 time: 0.0790 data_time: 0.0038 memory: 1798 2022/08/10 15:21:41 - mmengine - INFO - Epoch(val) [1][1620/6282] eta: 0:06:08 time: 0.0790 data_time: 0.0039 memory: 1798 2022/08/10 15:21:42 - mmengine - INFO - Epoch(val) [1][1640/6282] eta: 0:05:58 time: 0.0771 data_time: 0.0037 memory: 1840 2022/08/10 15:21:44 - mmengine - INFO - Epoch(val) [1][1660/6282] eta: 0:05:01 time: 0.0651 data_time: 0.0028 memory: 1704 2022/08/10 15:21:46 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:09:37 time: 0.1256 data_time: 0.0686 memory: 1704 2022/08/10 15:21:48 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:06:09 time: 0.0805 data_time: 0.0166 memory: 1939 2022/08/10 15:21:49 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:06:29 time: 0.0855 data_time: 0.0095 memory: 1974 2022/08/10 15:21:51 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:04:43 time: 0.0624 data_time: 0.0027 memory: 1704 2022/08/10 15:21:52 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:05:03 time: 0.0670 data_time: 0.0038 memory: 1704 2022/08/10 15:21:54 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:05:15 time: 0.0700 data_time: 0.0039 memory: 1704 2022/08/10 15:21:58 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:18:09 time: 0.2431 data_time: 0.1752 memory: 1806 2022/08/10 15:22:00 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:05:11 time: 0.0697 data_time: 0.0032 memory: 1774 2022/08/10 15:22:01 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:05:21 time: 0.0723 data_time: 0.0043 memory: 1704 2022/08/10 15:22:03 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:08:01 time: 0.1089 data_time: 0.0337 memory: 1704 2022/08/10 15:22:06 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:09:48 time: 0.1338 data_time: 0.0697 memory: 1704 2022/08/10 15:22:08 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:08:33 time: 0.1172 data_time: 0.0519 memory: 1704 2022/08/10 15:22:11 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:10:00 time: 0.1377 data_time: 0.0708 memory: 1704 2022/08/10 15:22:14 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:09:15 time: 0.1279 data_time: 0.0507 memory: 1704 2022/08/10 15:22:15 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:03:59 time: 0.0554 data_time: 0.0035 memory: 1677 2022/08/10 15:22:16 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:04:00 time: 0.0558 data_time: 0.0035 memory: 1677 2022/08/10 15:22:17 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:03:48 time: 0.0534 data_time: 0.0040 memory: 1677 2022/08/10 15:22:18 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:04:11 time: 0.0591 data_time: 0.0037 memory: 1677 2022/08/10 15:22:19 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:04:05 time: 0.0579 data_time: 0.0035 memory: 1677 2022/08/10 15:22:20 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:03:56 time: 0.0559 data_time: 0.0046 memory: 1677 2022/08/10 15:22:22 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:05:03 time: 0.0723 data_time: 0.0046 memory: 1677 2022/08/10 15:22:23 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:03:49 time: 0.0549 data_time: 0.0038 memory: 1677 2022/08/10 15:22:24 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:03:47 time: 0.0547 data_time: 0.0051 memory: 1677 2022/08/10 15:22:25 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:04:01 time: 0.0583 data_time: 0.0045 memory: 1697 2022/08/10 15:22:26 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:03:53 time: 0.0567 data_time: 0.0038 memory: 1677 2022/08/10 15:22:27 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:03:47 time: 0.0554 data_time: 0.0039 memory: 1677 2022/08/10 15:22:29 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:04:02 time: 0.0594 data_time: 0.0050 memory: 1677 2022/08/10 15:22:30 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:03:46 time: 0.0558 data_time: 0.0046 memory: 1677 2022/08/10 15:22:31 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:04:00 time: 0.0594 data_time: 0.0050 memory: 1677 2022/08/10 15:22:33 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:05:35 time: 0.0835 data_time: 0.0048 memory: 1677 2022/08/10 15:22:34 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:03:46 time: 0.0567 data_time: 0.0042 memory: 1698 2022/08/10 15:22:35 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:03:51 time: 0.0580 data_time: 0.0054 memory: 1677 2022/08/10 15:22:36 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:03:50 time: 0.0582 data_time: 0.0042 memory: 1677 2022/08/10 15:22:37 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:03:49 time: 0.0582 data_time: 0.0035 memory: 1677 2022/08/10 15:22:38 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:03:44 time: 0.0573 data_time: 0.0049 memory: 1677 2022/08/10 15:22:40 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:03:46 time: 0.0580 data_time: 0.0039 memory: 1677 2022/08/10 15:22:41 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:03:44 time: 0.0579 data_time: 0.0040 memory: 1677 2022/08/10 15:22:42 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:04:17 time: 0.0666 data_time: 0.0051 memory: 1677 2022/08/10 15:22:43 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:03:41 time: 0.0577 data_time: 0.0039 memory: 1677 2022/08/10 15:22:45 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:04:09 time: 0.0653 data_time: 0.0039 memory: 1704 2022/08/10 15:22:46 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:04:44 time: 0.0749 data_time: 0.0046 memory: 1704 2022/08/10 15:22:48 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:05:08 time: 0.0816 data_time: 0.0132 memory: 1704 2022/08/10 15:22:49 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:05:01 time: 0.0803 data_time: 0.0074 memory: 1774 2022/08/10 15:22:52 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:08:55 time: 0.1430 data_time: 0.0500 memory: 1939 2022/08/10 15:22:54 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:06:05 time: 0.0981 data_time: 0.0304 memory: 1704 2022/08/10 15:22:58 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:10:48 time: 0.1752 data_time: 0.1048 memory: 1704 2022/08/10 15:23:01 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:09:24 time: 0.1532 data_time: 0.0799 memory: 1715 2022/08/10 15:23:04 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:10:14 time: 0.1677 data_time: 0.0917 memory: 1704 2022/08/10 15:23:07 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:09:57 time: 0.1640 data_time: 0.0971 memory: 1704 2022/08/10 15:23:13 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:16:05 time: 0.2664 data_time: 0.0039 memory: 38560 2022/08/10 15:23:15 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:07:19 time: 0.1221 data_time: 0.0043 memory: 1788 2022/08/10 15:23:17 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:04:32 time: 0.0762 data_time: 0.0039 memory: 1788 2022/08/10 15:23:18 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:04:41 time: 0.0791 data_time: 0.0041 memory: 1788 2022/08/10 15:23:22 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:10:00 time: 0.1694 data_time: 0.0045 memory: 1797 2022/08/10 15:23:23 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:03:05 time: 0.0528 data_time: 0.0032 memory: 1677 2022/08/10 15:23:24 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:02:55 time: 0.0502 data_time: 0.0027 memory: 1677 2022/08/10 15:23:25 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:02:52 time: 0.0495 data_time: 0.0022 memory: 1631 2022/08/10 15:23:26 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:02:56 time: 0.0508 data_time: 0.0037 memory: 1677 2022/08/10 15:23:27 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:02:58 time: 0.0518 data_time: 0.0030 memory: 1631 2022/08/10 15:23:28 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:03:54 time: 0.0686 data_time: 0.0046 memory: 1704 2022/08/10 15:23:29 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:03:42 time: 0.0654 data_time: 0.0035 memory: 1704 2022/08/10 15:23:31 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:04:12 time: 0.0747 data_time: 0.0038 memory: 1704 2022/08/10 15:23:35 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:12:35 time: 0.2246 data_time: 0.0057 memory: 38511 2022/08/10 15:23:37 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:03:18 time: 0.0594 data_time: 0.0036 memory: 1688 2022/08/10 15:23:38 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:03:13 time: 0.0583 data_time: 0.0031 memory: 1688 2022/08/10 15:23:39 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:03:01 time: 0.0551 data_time: 0.0029 memory: 1688 2022/08/10 15:23:40 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:02:59 time: 0.0548 data_time: 0.0032 memory: 1688 2022/08/10 15:23:41 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:03:21 time: 0.0618 data_time: 0.0035 memory: 1704 2022/08/10 15:23:43 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:04:21 time: 0.0807 data_time: 0.0062 memory: 1715 2022/08/10 15:23:44 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:03:40 time: 0.0685 data_time: 0.0037 memory: 1774 2022/08/10 15:23:47 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:06:42 time: 0.1257 data_time: 0.0557 memory: 1704 2022/08/10 15:23:48 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:03:31 time: 0.0666 data_time: 0.0125 memory: 1704 2022/08/10 15:23:49 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:03:04 time: 0.0582 data_time: 0.0154 memory: 1677 2022/08/10 15:23:50 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:02:23 time: 0.0457 data_time: 0.0021 memory: 1677 2022/08/10 15:23:51 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:02:31 time: 0.0484 data_time: 0.0026 memory: 1677 2022/08/10 15:23:52 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:02:37 time: 0.0507 data_time: 0.0029 memory: 1677 2022/08/10 15:23:53 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:03:06 time: 0.0606 data_time: 0.0037 memory: 1704 2022/08/10 15:23:55 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:03:28 time: 0.0679 data_time: 0.0053 memory: 1704 2022/08/10 15:23:56 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:03:23 time: 0.0669 data_time: 0.0044 memory: 1704 2022/08/10 15:23:58 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:05:27 time: 0.1083 data_time: 0.0495 memory: 1704 2022/08/10 15:24:00 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:03:33 time: 0.0711 data_time: 0.0033 memory: 1704 2022/08/10 15:24:01 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:03:48 time: 0.0767 data_time: 0.0043 memory: 1695 2022/08/10 15:24:03 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:03:52 time: 0.0784 data_time: 0.0060 memory: 1704 2022/08/10 15:24:04 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:03:21 time: 0.0686 data_time: 0.0034 memory: 1715 2022/08/10 15:24:05 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:03:27 time: 0.0708 data_time: 0.0038 memory: 1704 2022/08/10 15:24:07 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:03:12 time: 0.0664 data_time: 0.0047 memory: 1704 2022/08/10 15:24:08 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:02:52 time: 0.0600 data_time: 0.0035 memory: 1722 2022/08/10 15:24:09 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:02:45 time: 0.0577 data_time: 0.0043 memory: 1677 2022/08/10 15:24:10 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:02:46 time: 0.0586 data_time: 0.0034 memory: 1677 2022/08/10 15:24:12 - mmengine - INFO - Epoch(val) [1][3460/6282] eta: 0:02:56 time: 0.0625 data_time: 0.0043 memory: 1677 2022/08/10 15:24:13 - mmengine - INFO - Epoch(val) [1][3480/6282] eta: 0:03:53 time: 0.0833 data_time: 0.0044 memory: 1722 2022/08/10 15:24:14 - mmengine - INFO - Epoch(val) [1][3500/6282] eta: 0:02:41 time: 0.0579 data_time: 0.0039 memory: 1677 2022/08/10 15:24:15 - mmengine - INFO - Epoch(val) [1][3520/6282] eta: 0:02:31 time: 0.0550 data_time: 0.0039 memory: 1677 2022/08/10 15:24:17 - mmengine - INFO - Epoch(val) [1][3540/6282] eta: 0:03:13 time: 0.0707 data_time: 0.0235 memory: 1677 2022/08/10 15:24:19 - mmengine - INFO - Epoch(val) [1][3560/6282] eta: 0:04:49 time: 0.1063 data_time: 0.0565 memory: 1677 2022/08/10 15:24:24 - mmengine - INFO - Epoch(val) [1][3580/6282] eta: 0:10:07 time: 0.2248 data_time: 0.0229 memory: 38518 2022/08/10 15:24:25 - mmengine - INFO - Epoch(val) [1][3600/6282] eta: 0:02:31 time: 0.0565 data_time: 0.0027 memory: 1696 2022/08/10 15:24:28 - mmengine - INFO - Epoch(val) [1][3620/6282] eta: 0:07:30 time: 0.1694 data_time: 0.0039 memory: 1844 2022/08/10 15:24:29 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:02:34 time: 0.0583 data_time: 0.0037 memory: 1696 2022/08/10 15:24:30 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:02:29 time: 0.0571 data_time: 0.0030 memory: 1696 2022/08/10 15:24:32 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:02:35 time: 0.0599 data_time: 0.0035 memory: 1704 2022/08/10 15:24:33 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:03:05 time: 0.0717 data_time: 0.0033 memory: 1704 2022/08/10 15:24:34 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:02:41 time: 0.0631 data_time: 0.0035 memory: 1704 2022/08/10 15:24:36 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:02:42 time: 0.0641 data_time: 0.0040 memory: 1704 2022/08/10 15:24:37 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:02:51 time: 0.0680 data_time: 0.0049 memory: 1704 2022/08/10 15:24:38 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:02:39 time: 0.0636 data_time: 0.0035 memory: 1704 2022/08/10 15:24:39 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:02:34 time: 0.0621 data_time: 0.0032 memory: 1704 2022/08/10 15:24:41 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:02:42 time: 0.0659 data_time: 0.0038 memory: 1704 2022/08/10 15:24:43 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:03:59 time: 0.0982 data_time: 0.0065 memory: 1704 2022/08/10 15:24:44 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:02:52 time: 0.0711 data_time: 0.0065 memory: 1704 2022/08/10 15:24:46 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:02:48 time: 0.0703 data_time: 0.0058 memory: 1704 2022/08/10 15:24:47 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:02:43 time: 0.0684 data_time: 0.0059 memory: 1704 2022/08/10 15:24:49 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:03:11 time: 0.0812 data_time: 0.0162 memory: 1704 2022/08/10 15:24:50 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:03:22 time: 0.0864 data_time: 0.0222 memory: 1704 2022/08/10 15:24:52 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:03:33 time: 0.0918 data_time: 0.0222 memory: 1715 2022/08/10 15:24:54 - mmengine - INFO - Epoch(val) [1][3980/6282] eta: 0:02:46 time: 0.0723 data_time: 0.0042 memory: 1715 2022/08/10 15:24:55 - mmengine - INFO - Epoch(val) [1][4000/6282] eta: 0:02:41 time: 0.0706 data_time: 0.0043 memory: 1715 2022/08/10 15:24:56 - mmengine - INFO - Epoch(val) [1][4020/6282] eta: 0:02:34 time: 0.0682 data_time: 0.0048 memory: 1704 2022/08/10 15:24:58 - mmengine - INFO - Epoch(val) [1][4040/6282] eta: 0:02:53 time: 0.0773 data_time: 0.0058 memory: 1788 2022/08/10 15:25:00 - mmengine - INFO - Epoch(val) [1][4060/6282] eta: 0:03:05 time: 0.0836 data_time: 0.0051 memory: 1788 2022/08/10 15:25:05 - mmengine - INFO - Epoch(val) [1][4080/6282] eta: 0:10:48 time: 0.2945 data_time: 0.2182 memory: 1788 2022/08/10 15:25:10 - mmengine - INFO - Epoch(val) [1][4100/6282] eta: 0:08:54 time: 0.2448 data_time: 0.1761 memory: 1788 2022/08/10 15:25:19 - mmengine - INFO - Epoch(val) [1][4120/6282] eta: 0:14:53 time: 0.4133 data_time: 0.3402 memory: 1788 2022/08/10 15:25:24 - mmengine - INFO - Epoch(val) [1][4140/6282] eta: 0:09:26 time: 0.2642 data_time: 0.1656 memory: 1788 2022/08/10 15:25:33 - mmengine - INFO - Epoch(val) [1][4160/6282] eta: 0:16:48 time: 0.4755 data_time: 0.4278 memory: 1677 2022/08/10 15:25:39 - mmengine - INFO - Epoch(val) [1][4180/6282] eta: 0:09:46 time: 0.2792 data_time: 0.2330 memory: 1677 2022/08/10 15:25:48 - mmengine - INFO - Epoch(val) [1][4200/6282] eta: 0:16:14 time: 0.4681 data_time: 0.4188 memory: 1677 2022/08/10 15:25:51 - mmengine - INFO - Epoch(val) [1][4220/6282] eta: 0:04:05 time: 0.1191 data_time: 0.0741 memory: 1677 2022/08/10 15:25:52 - mmengine - INFO - Epoch(val) [1][4240/6282] eta: 0:01:45 time: 0.0518 data_time: 0.0026 memory: 3010 2022/08/10 15:25:53 - mmengine - INFO - Epoch(val) [1][4260/6282] eta: 0:01:56 time: 0.0574 data_time: 0.0081 memory: 1676 2022/08/10 15:25:54 - mmengine - INFO - Epoch(val) [1][4280/6282] eta: 0:01:44 time: 0.0524 data_time: 0.0071 memory: 1676 2022/08/10 15:25:55 - mmengine - INFO - Epoch(val) [1][4300/6282] eta: 0:01:36 time: 0.0489 data_time: 0.0029 memory: 1676 2022/08/10 15:25:56 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:01:41 time: 0.0519 data_time: 0.0058 memory: 1676 2022/08/10 15:25:57 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:01:35 time: 0.0490 data_time: 0.0027 memory: 1676 2022/08/10 15:25:58 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:01:52 time: 0.0585 data_time: 0.0039 memory: 1704 2022/08/10 15:26:01 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:04:11 time: 0.1320 data_time: 0.0793 memory: 1704 2022/08/10 15:26:04 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:05:03 time: 0.1615 data_time: 0.1064 memory: 1704 2022/08/10 15:26:06 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:03:10 time: 0.1024 data_time: 0.0486 memory: 1704 2022/08/10 15:26:10 - mmengine - INFO - Epoch(val) [1][4440/6282] eta: 0:06:44 time: 0.2198 data_time: 0.0029 memory: 38530 2022/08/10 15:26:12 - mmengine - INFO - Epoch(val) [1][4460/6282] eta: 0:01:50 time: 0.0605 data_time: 0.0030 memory: 1707 2022/08/10 15:26:14 - mmengine - INFO - Epoch(val) [1][4480/6282] eta: 0:03:34 time: 0.1192 data_time: 0.0635 memory: 1707 2022/08/10 15:26:19 - mmengine - INFO - Epoch(val) [1][4500/6282] eta: 0:06:45 time: 0.2276 data_time: 0.1688 memory: 1707 2022/08/10 15:26:20 - mmengine - INFO - Epoch(val) [1][4520/6282] eta: 0:01:49 time: 0.0624 data_time: 0.0031 memory: 1724 2022/08/10 15:26:25 - mmengine - INFO - Epoch(val) [1][4540/6282] eta: 0:07:49 time: 0.2697 data_time: 0.2225 memory: 1723 2022/08/10 15:26:28 - mmengine - INFO - Epoch(val) [1][4560/6282] eta: 0:03:21 time: 0.1173 data_time: 0.0688 memory: 1678 2022/08/10 15:26:32 - mmengine - INFO - Epoch(val) [1][4580/6282] eta: 0:06:52 time: 0.2426 data_time: 0.1930 memory: 1678 2022/08/10 15:26:35 - mmengine - INFO - Epoch(val) [1][4600/6282] eta: 0:03:39 time: 0.1305 data_time: 0.0855 memory: 1678 2022/08/10 15:26:38 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:04:32 time: 0.1638 data_time: 0.1130 memory: 1678 2022/08/10 15:26:43 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:06:53 time: 0.2516 data_time: 0.1677 memory: 1707 2022/08/10 15:26:45 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:01:40 time: 0.0619 data_time: 0.0030 memory: 1707 2022/08/10 15:26:46 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:02:25 time: 0.0907 data_time: 0.0300 memory: 1707 2022/08/10 15:26:49 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:03:26 time: 0.1307 data_time: 0.0718 memory: 1707 2022/08/10 15:26:51 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:02:21 time: 0.0909 data_time: 0.0118 memory: 7314 2022/08/10 15:26:54 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:03:31 time: 0.1369 data_time: 0.0863 memory: 1688 2022/08/10 15:26:55 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:02:16 time: 0.0897 data_time: 0.0297 memory: 1729 2022/08/10 15:26:56 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:18 time: 0.0525 data_time: 0.0028 memory: 1688 2022/08/10 15:26:58 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:25 time: 0.0580 data_time: 0.0056 memory: 1688 2022/08/10 15:26:59 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:01:23 time: 0.0568 data_time: 0.0028 memory: 1704 2022/08/10 15:27:00 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:01:40 time: 0.0694 data_time: 0.0095 memory: 1704 2022/08/10 15:27:03 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:03:06 time: 0.1312 data_time: 0.0451 memory: 1704 2022/08/10 15:27:06 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:03:37 time: 0.1550 data_time: 0.0963 memory: 1704 2022/08/10 15:27:07 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:01:35 time: 0.0691 data_time: 0.0096 memory: 1704 2022/08/10 15:27:09 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:01:43 time: 0.0763 data_time: 0.0092 memory: 7333 2022/08/10 15:27:10 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:54 time: 0.0853 data_time: 0.0270 memory: 1704 2022/08/10 15:27:14 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:03:26 time: 0.1559 data_time: 0.0938 memory: 1704 2022/08/10 15:27:16 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:02:05 time: 0.0966 data_time: 0.0353 memory: 1704 2022/08/10 15:27:18 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:02:33 time: 0.1194 data_time: 0.0615 memory: 1704 2022/08/10 15:27:19 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:01:22 time: 0.0654 data_time: 0.0103 memory: 1704 2022/08/10 15:27:21 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:01:34 time: 0.0758 data_time: 0.0295 memory: 1677 2022/08/10 15:27:22 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:01:04 time: 0.0528 data_time: 0.0020 memory: 1677 2022/08/10 15:27:25 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:03:38 time: 0.1820 data_time: 0.0953 memory: 1723 2022/08/10 15:27:28 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:02:20 time: 0.1193 data_time: 0.0685 memory: 1677 2022/08/10 15:27:29 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:01:01 time: 0.0531 data_time: 0.0021 memory: 1677 2022/08/10 15:27:30 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:00:54 time: 0.0476 data_time: 0.0028 memory: 1677 2022/08/10 15:27:31 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:01:13 time: 0.0656 data_time: 0.0165 memory: 1677 2022/08/10 15:27:33 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:01:39 time: 0.0899 data_time: 0.0405 memory: 1677 2022/08/10 15:27:34 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:01:02 time: 0.0578 data_time: 0.0071 memory: 1677 2022/08/10 15:27:35 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:00:55 time: 0.0518 data_time: 0.0025 memory: 1677 2022/08/10 15:27:37 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:01:56 time: 0.1117 data_time: 0.0526 memory: 1772 2022/08/10 15:27:39 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:00:58 time: 0.0570 data_time: 0.0068 memory: 1676 2022/08/10 15:27:40 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:00:52 time: 0.0525 data_time: 0.0023 memory: 1697 2022/08/10 15:27:41 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:00:56 time: 0.0578 data_time: 0.0039 memory: 1676 2022/08/10 15:27:42 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:00:49 time: 0.0513 data_time: 0.0029 memory: 1677 2022/08/10 15:27:44 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:01:25 time: 0.0912 data_time: 0.0266 memory: 1677 2022/08/10 15:27:45 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:00:47 time: 0.0519 data_time: 0.0034 memory: 1677 2022/08/10 15:27:46 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:01:04 time: 0.0719 data_time: 0.0163 memory: 1747 2022/08/10 15:27:47 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:00:45 time: 0.0511 data_time: 0.0029 memory: 1677 2022/08/10 15:27:50 - mmengine - INFO - Epoch(val) [1][5420/6282] eta: 0:01:46 time: 0.1234 data_time: 0.0789 memory: 1677 2022/08/10 15:27:53 - mmengine - INFO - Epoch(val) [1][5440/6282] eta: 0:02:37 time: 0.1875 data_time: 0.1435 memory: 1677 2022/08/10 15:27:54 - mmengine - INFO - Epoch(val) [1][5460/6282] eta: 0:00:39 time: 0.0483 data_time: 0.0025 memory: 1677 2022/08/10 15:27:55 - mmengine - INFO - Epoch(val) [1][5480/6282] eta: 0:00:37 time: 0.0468 data_time: 0.0028 memory: 1677 2022/08/10 15:27:56 - mmengine - INFO - Epoch(val) [1][5500/6282] eta: 0:00:37 time: 0.0476 data_time: 0.0024 memory: 1677 2022/08/10 15:28:03 - mmengine - INFO - Epoch(val) [1][5520/6282] eta: 0:04:07 time: 0.3250 data_time: 0.0027 memory: 38508 2022/08/10 15:28:04 - mmengine - INFO - Epoch(val) [1][5540/6282] eta: 0:00:45 time: 0.0616 data_time: 0.0065 memory: 1685 2022/08/10 15:28:05 - mmengine - INFO - Epoch(val) [1][5560/6282] eta: 0:00:39 time: 0.0549 data_time: 0.0034 memory: 1685 2022/08/10 15:28:06 - mmengine - INFO - Epoch(val) [1][5580/6282] eta: 0:00:41 time: 0.0593 data_time: 0.0085 memory: 1685 2022/08/10 15:28:08 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:01:00 time: 0.0882 data_time: 0.0376 memory: 1685 2022/08/10 15:28:09 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:35 time: 0.0530 data_time: 0.0065 memory: 1685 2022/08/10 15:28:11 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:00:49 time: 0.0774 data_time: 0.0269 memory: 1677 2022/08/10 15:28:12 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:31 time: 0.0502 data_time: 0.0022 memory: 1677 2022/08/10 15:28:13 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:31 time: 0.0519 data_time: 0.0027 memory: 1677 2022/08/10 15:28:14 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:39 time: 0.0684 data_time: 0.0217 memory: 1677 2022/08/10 15:28:23 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:04:23 time: 0.4694 data_time: 0.0029 memory: 38515 2022/08/10 15:28:25 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:50 time: 0.0935 data_time: 0.0024 memory: 1693 2022/08/10 15:28:28 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:01:07 time: 0.1294 data_time: 0.0102 memory: 1693 2022/08/10 15:28:29 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:40 time: 0.0810 data_time: 0.0028 memory: 1740 2022/08/10 15:28:31 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:26 time: 0.0549 data_time: 0.0026 memory: 1693 2022/08/10 15:28:32 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:26 time: 0.0572 data_time: 0.0029 memory: 1693 2022/08/10 15:28:33 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:25 time: 0.0578 data_time: 0.0036 memory: 1685 2022/08/10 15:28:35 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:48 time: 0.1155 data_time: 0.0642 memory: 1685 2022/08/10 15:28:36 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:21 time: 0.0525 data_time: 0.0029 memory: 1685 2022/08/10 15:28:38 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:26 time: 0.0706 data_time: 0.0205 memory: 1685 2022/08/10 15:28:39 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:18 time: 0.0506 data_time: 0.0028 memory: 1685 2022/08/10 15:28:40 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:17 time: 0.0513 data_time: 0.0034 memory: 1677 2022/08/10 15:28:41 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:20 time: 0.0626 data_time: 0.0158 memory: 1677 2022/08/10 15:28:42 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:23 time: 0.0772 data_time: 0.0301 memory: 1677 2022/08/10 15:28:44 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:23 time: 0.0821 data_time: 0.0279 memory: 1704 2022/08/10 15:28:46 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:25 time: 0.0966 data_time: 0.0409 memory: 1704 2022/08/10 15:28:47 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:14 time: 0.0595 data_time: 0.0026 memory: 1704 2022/08/10 15:28:49 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:14 time: 0.0674 data_time: 0.0099 memory: 1715 2022/08/10 15:28:50 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:12 time: 0.0634 data_time: 0.0030 memory: 1715 2022/08/10 15:28:53 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:28 time: 0.1571 data_time: 0.0953 memory: 1873 2022/08/10 15:28:56 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:23 time: 0.1440 data_time: 0.0794 memory: 1704 2022/08/10 15:29:00 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:28 time: 0.2018 data_time: 0.1326 memory: 1840 2022/08/10 15:29:02 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:12 time: 0.1065 data_time: 0.0409 memory: 1840 2022/08/10 15:29:08 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:28 time: 0.2800 data_time: 0.2182 memory: 1704 2022/08/10 15:29:12 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:17 time: 0.2176 data_time: 0.1611 memory: 1704 2022/08/10 15:29:15 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:08 time: 0.1439 data_time: 0.0855 memory: 1704 2022/08/10 15:29:19 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:07 time: 0.1830 data_time: 0.1245 memory: 1704 2022/08/10 15:29:21 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:02 time: 0.1261 data_time: 0.0681 memory: 1704 2022/08/10 15:29:24 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.1599 data_time: 0.0958 memory: 1704 2022/08/10 15:34:58 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.2371 2022/08/10 15:35:07 - mmengine - INFO - The best checkpoint with 0.2371 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2022/08/10 15:35:32 - mmengine - INFO - Epoch(train) [2][20/2881] lr: 5.5305e-02 eta: 5:33:11 time: 1.2487 data_time: 0.4800 memory: 15300 grad_norm: 0.3758 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.5641 recall@top3: 0.8462 prec@top3: 0.4359 recall@top5: 0.9231 prec@top5: 0.2923 loss_action_cls: 0.0528 loss: 0.0528 2022/08/10 15:35:50 - mmengine - INFO - Epoch(train) [2][40/2881] lr: 5.5617e-02 eta: 5:33:20 time: 0.9075 data_time: 0.0245 memory: 15452 grad_norm: 0.3295 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.6681 recall@top3: 0.6204 prec@top3: 0.4444 recall@top5: 0.8773 prec@top5: 0.3944 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 15:36:07 - mmengine - INFO - Epoch(train) [2][60/2881] lr: 5.5930e-02 eta: 5:33:18 time: 0.8524 data_time: 0.0313 memory: 15338 grad_norm: 0.2813 recall@thr=0.5: 0.4679 prec@thr=0.5: 0.5128 recall@top3: 0.5513 prec@top3: 0.4872 recall@top5: 0.6859 prec@top5: 0.3769 loss_action_cls: 0.0468 loss: 0.0468 2022/08/10 15:36:22 - mmengine - INFO - Epoch(train) [2][80/2881] lr: 5.6242e-02 eta: 5:32:56 time: 0.7341 data_time: 0.0715 memory: 15261 grad_norm: 0.3140 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.6970 recall@top3: 0.7348 prec@top3: 0.6970 recall@top5: 0.8636 prec@top5: 0.4909 loss_action_cls: 0.0496 loss: 0.0496 2022/08/10 15:36:37 - mmengine - INFO - Epoch(train) [2][100/2881] lr: 5.6554e-02 eta: 5:32:44 time: 0.7937 data_time: 0.0346 memory: 15376 grad_norm: 0.3260 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7235 recall@top3: 0.7076 prec@top3: 0.4848 recall@top5: 0.7712 prec@top5: 0.3364 loss_action_cls: 0.0493 loss: 0.0493 2022/08/10 15:36:54 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 15:36:54 - mmengine - INFO - Epoch(train) [2][120/2881] lr: 5.6867e-02 eta: 5:32:40 time: 0.8388 data_time: 0.0246 memory: 15625 grad_norm: 0.3041 recall@thr=0.5: 0.6161 prec@thr=0.5: 0.6613 recall@top3: 0.6833 prec@top3: 0.6989 recall@top5: 0.7581 prec@top5: 0.4710 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 15:37:09 - mmengine - INFO - Epoch(train) [2][140/2881] lr: 5.7179e-02 eta: 5:32:15 time: 0.7174 data_time: 0.0229 memory: 15242 grad_norm: 0.3626 recall@thr=0.5: 0.5429 prec@thr=0.5: 0.6935 recall@top3: 0.6988 prec@top3: 0.7143 recall@top5: 0.8786 prec@top5: 0.5357 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 15:37:22 - mmengine - INFO - Epoch(train) [2][160/2881] lr: 5.7492e-02 eta: 5:31:43 time: 0.6776 data_time: 0.0328 memory: 15376 grad_norm: 0.3245 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.8220 recall@top3: 0.7803 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4727 loss_action_cls: 0.0531 loss: 0.0531 2022/08/10 15:37:40 - mmengine - INFO - Epoch(train) [2][180/2881] lr: 5.7804e-02 eta: 5:31:51 time: 0.9063 data_time: 0.0200 memory: 15357 grad_norm: 0.3121 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.8039 recall@top3: 0.8578 prec@top3: 0.6863 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 15:37:59 - mmengine - INFO - Epoch(train) [2][200/2881] lr: 5.8117e-02 eta: 5:31:59 time: 0.9149 data_time: 0.0226 memory: 15510 grad_norm: 0.3057 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.6078 recall@top3: 0.8137 prec@top3: 0.6275 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 15:38:17 - mmengine - INFO - Epoch(train) [2][220/2881] lr: 5.8429e-02 eta: 5:32:11 time: 0.9395 data_time: 0.0674 memory: 15318 grad_norm: 0.2947 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8287 recall@top3: 0.7870 prec@top3: 0.7037 recall@top5: 0.8889 prec@top5: 0.5000 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 15:38:40 - mmengine - INFO - Epoch(train) [2][240/2881] lr: 5.8742e-02 eta: 5:32:54 time: 1.1334 data_time: 0.0250 memory: 15491 grad_norm: 0.3281 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6863 recall@top3: 0.6373 prec@top3: 0.5686 recall@top5: 0.8627 prec@top5: 0.4353 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 15:39:00 - mmengine - INFO - Epoch(train) [2][260/2881] lr: 5.9054e-02 eta: 5:33:13 time: 0.9888 data_time: 0.0256 memory: 15433 grad_norm: 0.2887 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8056 recall@top3: 0.7917 prec@top3: 0.6806 recall@top5: 0.9792 prec@top5: 0.5000 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 15:39:25 - mmengine - INFO - Epoch(train) [2][280/2881] lr: 5.9366e-02 eta: 5:34:17 time: 1.2713 data_time: 0.1091 memory: 15625 grad_norm: 0.3188 recall@thr=0.5: 0.7915 prec@thr=0.5: 0.7846 recall@top3: 0.7679 prec@top3: 0.8130 recall@top5: 0.9459 prec@top5: 0.6195 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 15:39:48 - mmengine - INFO - Epoch(train) [2][300/2881] lr: 5.9679e-02 eta: 5:35:03 time: 1.1590 data_time: 0.0216 memory: 15472 grad_norm: 0.2873 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.5250 recall@top3: 0.7167 prec@top3: 0.5333 recall@top5: 0.8542 prec@top5: 0.4000 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 15:40:10 - mmengine - INFO - Epoch(train) [2][320/2881] lr: 5.9991e-02 eta: 5:35:36 time: 1.0895 data_time: 0.0845 memory: 15204 grad_norm: 0.3233 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.7652 recall@top3: 0.8106 prec@top3: 0.6515 recall@top5: 0.8902 prec@top5: 0.4364 loss_action_cls: 0.0464 loss: 0.0464 2022/08/10 15:40:30 - mmengine - INFO - Epoch(train) [2][340/2881] lr: 6.0304e-02 eta: 5:35:52 time: 0.9899 data_time: 0.0259 memory: 15204 grad_norm: 0.3140 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.6765 recall@top3: 0.5588 prec@top3: 0.4902 recall@top5: 0.6961 prec@top5: 0.3529 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 15:41:02 - mmengine - INFO - Epoch(train) [2][360/2881] lr: 6.0616e-02 eta: 5:37:41 time: 1.5772 data_time: 0.0300 memory: 15261 grad_norm: 0.3291 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7639 recall@top3: 0.8264 prec@top3: 0.6250 recall@top5: 0.8889 prec@top5: 0.4083 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 15:41:25 - mmengine - INFO - Epoch(train) [2][380/2881] lr: 6.0929e-02 eta: 5:38:28 time: 1.1914 data_time: 0.0250 memory: 15701 grad_norm: 0.2764 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7639 recall@top3: 0.7431 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0496 loss: 0.0496 2022/08/10 15:41:42 - mmengine - INFO - Epoch(train) [2][400/2881] lr: 6.1241e-02 eta: 5:38:16 time: 0.8219 data_time: 0.0255 memory: 15644 grad_norm: 0.3169 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.6389 recall@top3: 0.7361 prec@top3: 0.5889 recall@top5: 0.8750 prec@top5: 0.4333 loss_action_cls: 0.0505 loss: 0.0505 2022/08/10 15:41:56 - mmengine - INFO - Epoch(train) [2][420/2881] lr: 6.1554e-02 eta: 5:37:44 time: 0.6906 data_time: 0.0235 memory: 15165 grad_norm: 0.3766 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.5606 recall@top3: 0.8636 prec@top3: 0.5152 recall@top5: 0.9091 prec@top5: 0.3364 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 15:42:09 - mmengine - INFO - Epoch(train) [2][440/2881] lr: 6.1866e-02 eta: 5:37:07 time: 0.6592 data_time: 0.0228 memory: 15300 grad_norm: 0.2744 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.6970 recall@top3: 0.6970 prec@top3: 0.6212 recall@top5: 0.8409 prec@top5: 0.4727 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 15:42:23 - mmengine - INFO - Epoch(train) [2][460/2881] lr: 6.2178e-02 eta: 5:36:41 time: 0.7223 data_time: 0.0224 memory: 15433 grad_norm: 0.3216 recall@thr=0.5: 0.3646 prec@thr=0.5: 0.4583 recall@top3: 0.5312 prec@top3: 0.5208 recall@top5: 0.6667 prec@top5: 0.3875 loss_action_cls: 0.0486 loss: 0.0486 2022/08/10 15:42:37 - mmengine - INFO - Epoch(train) [2][480/2881] lr: 6.2491e-02 eta: 5:36:10 time: 0.6956 data_time: 0.0239 memory: 15472 grad_norm: 0.3572 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.6533 recall@top3: 0.7900 prec@top3: 0.6400 recall@top5: 0.9800 prec@top5: 0.4720 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 15:42:51 - mmengine - INFO - Epoch(train) [2][500/2881] lr: 6.2803e-02 eta: 5:35:37 time: 0.6753 data_time: 0.0213 memory: 15491 grad_norm: 0.2864 recall@thr=0.5: 0.5576 prec@thr=0.5: 0.7879 recall@top3: 0.7667 prec@top3: 0.7727 recall@top5: 0.9394 prec@top5: 0.5909 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 15:43:04 - mmengine - INFO - Epoch(train) [2][520/2881] lr: 6.3116e-02 eta: 5:35:05 time: 0.6861 data_time: 0.0206 memory: 15357 grad_norm: 0.3396 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.4653 recall@top3: 0.6840 prec@top3: 0.5139 recall@top5: 0.8333 prec@top5: 0.3833 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 15:43:19 - mmengine - INFO - Epoch(train) [2][540/2881] lr: 6.3428e-02 eta: 5:34:41 time: 0.7353 data_time: 0.0254 memory: 15452 grad_norm: 0.3317 recall@thr=0.5: 0.7125 prec@thr=0.5: 0.8042 recall@top3: 0.7500 prec@top3: 0.6167 recall@top5: 0.9125 prec@top5: 0.4800 loss_action_cls: 0.0446 loss: 0.0446 2022/08/10 15:43:33 - mmengine - INFO - Epoch(train) [2][560/2881] lr: 6.3741e-02 eta: 5:34:09 time: 0.6849 data_time: 0.0203 memory: 15414 grad_norm: 0.2747 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.5417 recall@top3: 0.6583 prec@top3: 0.4889 recall@top5: 0.8333 prec@top5: 0.3933 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 15:43:47 - mmengine - INFO - Epoch(train) [2][580/2881] lr: 6.4053e-02 eta: 5:33:44 time: 0.7280 data_time: 0.0282 memory: 15338 grad_norm: 0.2665 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.6800 recall@top3: 0.7467 prec@top3: 0.6267 recall@top5: 0.9333 prec@top5: 0.4480 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 15:44:02 - mmengine - INFO - Epoch(train) [2][600/2881] lr: 6.4366e-02 eta: 5:33:22 time: 0.7448 data_time: 0.0888 memory: 15204 grad_norm: 0.3287 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6167 recall@top3: 0.6933 prec@top3: 0.5600 recall@top5: 0.8333 prec@top5: 0.4080 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 15:44:16 - mmengine - INFO - Epoch(train) [2][620/2881] lr: 6.4678e-02 eta: 5:32:53 time: 0.6980 data_time: 0.0227 memory: 15318 grad_norm: 0.2924 recall@thr=0.5: 0.8781 prec@thr=0.5: 0.8854 recall@top3: 0.8656 prec@top3: 0.5417 recall@top5: 0.9563 prec@top5: 0.3750 loss_action_cls: 0.0462 loss: 0.0462 2022/08/10 15:44:30 - mmengine - INFO - Epoch(train) [2][640/2881] lr: 6.4990e-02 eta: 5:32:24 time: 0.6953 data_time: 0.0232 memory: 15433 grad_norm: 0.2794 recall@thr=0.5: 0.6772 prec@thr=0.5: 0.7456 recall@top3: 0.7386 prec@top3: 0.5439 recall@top5: 0.9123 prec@top5: 0.4316 loss_action_cls: 0.0520 loss: 0.0520 2022/08/10 15:44:44 - mmengine - INFO - Epoch(train) [2][660/2881] lr: 6.5303e-02 eta: 5:31:53 time: 0.6849 data_time: 0.0223 memory: 15261 grad_norm: 0.2887 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.8492 recall@top3: 0.9206 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5238 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 15:44:58 - mmengine - INFO - Epoch(train) [2][680/2881] lr: 6.5615e-02 eta: 5:31:23 time: 0.6859 data_time: 0.0244 memory: 15338 grad_norm: 0.2804 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7633 recall@top3: 0.6833 prec@top3: 0.7200 recall@top5: 0.8867 prec@top5: 0.5760 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 15:45:11 - mmengine - INFO - Epoch(train) [2][700/2881] lr: 6.5928e-02 eta: 5:30:54 time: 0.6949 data_time: 0.0220 memory: 15548 grad_norm: 0.2935 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.5877 recall@top3: 0.8333 prec@top3: 0.5263 recall@top5: 0.9211 prec@top5: 0.3684 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 15:45:29 - mmengine - INFO - Epoch(train) [2][720/2881] lr: 6.6240e-02 eta: 5:30:52 time: 0.8836 data_time: 0.0254 memory: 15395 grad_norm: 0.2886 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.7857 recall@top3: 0.7698 prec@top3: 0.6667 recall@top5: 0.9246 prec@top5: 0.4571 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 15:45:43 - mmengine - INFO - Epoch(train) [2][740/2881] lr: 6.6553e-02 eta: 5:30:23 time: 0.6928 data_time: 0.0303 memory: 15338 grad_norm: 0.3193 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6667 recall@top3: 0.8056 prec@top3: 0.6481 recall@top5: 0.9352 prec@top5: 0.4556 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 15:45:58 - mmengine - INFO - Epoch(train) [2][760/2881] lr: 6.6865e-02 eta: 5:30:04 time: 0.7658 data_time: 0.0246 memory: 15338 grad_norm: 0.2951 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8417 recall@top3: 0.8083 prec@top3: 0.6833 recall@top5: 0.9083 prec@top5: 0.4800 loss_action_cls: 0.0491 loss: 0.0491 2022/08/10 15:46:13 - mmengine - INFO - Epoch(train) [2][780/2881] lr: 6.7178e-02 eta: 5:29:42 time: 0.7393 data_time: 0.0262 memory: 15433 grad_norm: 0.2785 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.6244 recall@top3: 0.8036 prec@top3: 0.7024 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 15:46:27 - mmengine - INFO - Epoch(train) [2][800/2881] lr: 6.7490e-02 eta: 5:29:15 time: 0.7038 data_time: 0.0245 memory: 15280 grad_norm: 0.2902 recall@thr=0.5: 0.5183 prec@thr=0.5: 0.7556 recall@top3: 0.6378 prec@top3: 0.6333 recall@top5: 0.8561 prec@top5: 0.5267 loss_action_cls: 0.0476 loss: 0.0476 2022/08/10 15:46:42 - mmengine - INFO - Epoch(train) [2][820/2881] lr: 6.7802e-02 eta: 5:28:50 time: 0.7193 data_time: 0.0270 memory: 15433 grad_norm: 0.2900 recall@thr=0.5: 0.5731 prec@thr=0.5: 0.6833 recall@top3: 0.6907 prec@top3: 0.6481 recall@top5: 0.9287 prec@top5: 0.5000 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 15:46:55 - mmengine - INFO - Epoch(train) [2][840/2881] lr: 6.8115e-02 eta: 5:28:22 time: 0.6927 data_time: 0.0214 memory: 15510 grad_norm: 0.3439 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6587 recall@top3: 0.7778 prec@top3: 0.5714 recall@top5: 0.8492 prec@top5: 0.3810 loss_action_cls: 0.0494 loss: 0.0494 2022/08/10 15:47:11 - mmengine - INFO - Epoch(train) [2][860/2881] lr: 6.8427e-02 eta: 5:28:05 time: 0.7777 data_time: 0.0285 memory: 15433 grad_norm: 0.3244 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8083 recall@top3: 0.8250 prec@top3: 0.5833 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 15:47:26 - mmengine - INFO - Epoch(train) [2][880/2881] lr: 6.8740e-02 eta: 5:27:48 time: 0.7746 data_time: 0.0840 memory: 15491 grad_norm: 0.3038 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6692 recall@top3: 0.6917 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.4800 loss_action_cls: 0.0475 loss: 0.0475 2022/08/10 15:47:40 - mmengine - INFO - Epoch(train) [2][900/2881] lr: 6.9052e-02 eta: 5:27:21 time: 0.6987 data_time: 0.0213 memory: 15357 grad_norm: 0.3328 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.7222 recall@top3: 0.7882 prec@top3: 0.6944 recall@top5: 0.8854 prec@top5: 0.4667 loss_action_cls: 0.0513 loss: 0.0513 2022/08/10 15:47:55 - mmengine - INFO - Epoch(train) [2][920/2881] lr: 6.9365e-02 eta: 5:26:56 time: 0.7182 data_time: 0.0211 memory: 15491 grad_norm: 0.2729 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8241 recall@top3: 0.7500 prec@top3: 0.7222 recall@top5: 0.8704 prec@top5: 0.4889 loss_action_cls: 0.0462 loss: 0.0462 2022/08/10 15:48:09 - mmengine - INFO - Epoch(train) [2][940/2881] lr: 6.9677e-02 eta: 5:26:29 time: 0.6962 data_time: 0.0230 memory: 15376 grad_norm: 0.3001 recall@thr=0.5: 0.6160 prec@thr=0.5: 0.6538 recall@top3: 0.6872 prec@top3: 0.6154 recall@top5: 0.8372 prec@top5: 0.4538 loss_action_cls: 0.0490 loss: 0.0490 2022/08/10 15:48:22 - mmengine - INFO - Epoch(train) [2][960/2881] lr: 6.9990e-02 eta: 5:26:00 time: 0.6768 data_time: 0.0241 memory: 15491 grad_norm: 0.3181 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.7879 recall@top3: 0.8598 prec@top3: 0.6818 recall@top5: 0.9318 prec@top5: 0.4545 loss_action_cls: 0.0451 loss: 0.0451 2022/08/10 15:48:36 - mmengine - INFO - Epoch(train) [2][980/2881] lr: 7.0302e-02 eta: 5:25:32 time: 0.6919 data_time: 0.0214 memory: 15414 grad_norm: 0.2719 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.9348 recall@top3: 0.7681 prec@top3: 0.6522 recall@top5: 0.8659 prec@top5: 0.4522 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 15:48:49 - mmengine - INFO - Epoch(train) [2][1000/2881] lr: 7.0614e-02 eta: 5:25:00 time: 0.6568 data_time: 0.0225 memory: 15204 grad_norm: 0.2741 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.7368 recall@top3: 0.7632 prec@top3: 0.6140 recall@top5: 0.9123 prec@top5: 0.4105 loss_action_cls: 0.0457 loss: 0.0457 2022/08/10 15:49:04 - mmengine - INFO - Epoch(train) [2][1020/2881] lr: 7.0927e-02 eta: 5:24:40 time: 0.7425 data_time: 0.0227 memory: 15414 grad_norm: 0.3323 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7588 recall@top3: 0.7719 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4842 loss_action_cls: 0.0508 loss: 0.0508 2022/08/10 15:49:18 - mmengine - INFO - Epoch(train) [2][1040/2881] lr: 7.1239e-02 eta: 5:24:12 time: 0.6907 data_time: 0.0274 memory: 15376 grad_norm: 0.2977 recall@thr=0.5: 0.3385 prec@thr=0.5: 0.4375 recall@top3: 0.6042 prec@top3: 0.4583 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0539 loss: 0.0539 2022/08/10 15:49:32 - mmengine - INFO - Epoch(train) [2][1060/2881] lr: 7.1552e-02 eta: 5:23:46 time: 0.6984 data_time: 0.0225 memory: 15318 grad_norm: 0.3323 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.9035 recall@top3: 0.7026 prec@top3: 0.7193 recall@top5: 0.8754 prec@top5: 0.5579 loss_action_cls: 0.0450 loss: 0.0450 2022/08/10 15:49:46 - mmengine - INFO - Epoch(train) [2][1080/2881] lr: 7.1864e-02 eta: 5:23:20 time: 0.7008 data_time: 0.0229 memory: 15318 grad_norm: 0.2759 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7381 recall@top3: 0.9365 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 15:50:00 - mmengine - INFO - Epoch(train) [2][1100/2881] lr: 7.2177e-02 eta: 5:22:54 time: 0.6933 data_time: 0.0216 memory: 15395 grad_norm: 0.2528 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7153 recall@top3: 0.7500 prec@top3: 0.5556 recall@top5: 0.9479 prec@top5: 0.4333 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 15:50:13 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 15:50:14 - mmengine - INFO - Epoch(train) [2][1120/2881] lr: 7.2489e-02 eta: 5:22:28 time: 0.6980 data_time: 0.0218 memory: 15510 grad_norm: 0.3211 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7222 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.9537 prec@top5: 0.4778 loss_action_cls: 0.0475 loss: 0.0475 2022/08/10 15:50:28 - mmengine - INFO - Epoch(train) [2][1140/2881] lr: 7.2802e-02 eta: 5:22:03 time: 0.7057 data_time: 0.0227 memory: 15261 grad_norm: 0.2833 recall@thr=0.5: 0.6873 prec@thr=0.5: 0.8933 recall@top3: 0.7247 prec@top3: 0.6800 recall@top5: 0.9000 prec@top5: 0.5360 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 15:50:41 - mmengine - INFO - Epoch(train) [2][1160/2881] lr: 7.3114e-02 eta: 5:21:36 time: 0.6823 data_time: 0.0232 memory: 15395 grad_norm: 0.2990 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6889 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.8889 prec@top5: 0.4133 loss_action_cls: 0.0464 loss: 0.0464 2022/08/10 15:50:55 - mmengine - INFO - Epoch(train) [2][1180/2881] lr: 7.3426e-02 eta: 5:21:09 time: 0.6833 data_time: 0.0210 memory: 15318 grad_norm: 0.3554 recall@thr=0.5: 0.5200 prec@thr=0.5: 0.5933 recall@top3: 0.5533 prec@top3: 0.4667 recall@top5: 0.9133 prec@top5: 0.4560 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 15:51:09 - mmengine - INFO - Epoch(train) [2][1200/2881] lr: 7.3739e-02 eta: 5:20:43 time: 0.6984 data_time: 0.0276 memory: 15529 grad_norm: 0.3044 recall@thr=0.5: 0.6205 prec@thr=0.5: 0.5000 recall@top3: 0.6977 prec@top3: 0.4091 recall@top5: 0.8455 prec@top5: 0.3273 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 15:51:23 - mmengine - INFO - Epoch(train) [2][1220/2881] lr: 7.4051e-02 eta: 5:20:18 time: 0.6953 data_time: 0.0268 memory: 15548 grad_norm: 0.2845 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5746 recall@top3: 0.7018 prec@top3: 0.4737 recall@top5: 0.8772 prec@top5: 0.3474 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 15:51:37 - mmengine - INFO - Epoch(train) [2][1240/2881] lr: 7.4364e-02 eta: 5:19:53 time: 0.6991 data_time: 0.0221 memory: 15318 grad_norm: 0.2889 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6458 recall@top3: 0.7708 prec@top3: 0.5000 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 15:51:51 - mmengine - INFO - Epoch(train) [2][1260/2881] lr: 7.4676e-02 eta: 5:19:27 time: 0.6923 data_time: 0.0241 memory: 15510 grad_norm: 0.2952 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.7708 recall@top3: 0.7379 prec@top3: 0.6667 recall@top5: 0.8867 prec@top5: 0.5000 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 15:52:05 - mmengine - INFO - Epoch(train) [2][1280/2881] lr: 7.4989e-02 eta: 5:19:00 time: 0.6831 data_time: 0.0216 memory: 15300 grad_norm: 0.2951 recall@thr=0.5: 0.6895 prec@thr=0.5: 0.8991 recall@top3: 0.8342 prec@top3: 0.7719 recall@top5: 0.9526 prec@top5: 0.5368 loss_action_cls: 0.0486 loss: 0.0486 2022/08/10 15:52:18 - mmengine - INFO - Epoch(train) [2][1300/2881] lr: 7.5301e-02 eta: 5:18:34 time: 0.6857 data_time: 0.0226 memory: 15223 grad_norm: 0.2945 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9167 recall@top3: 0.8657 prec@top3: 0.7778 recall@top5: 0.9676 prec@top5: 0.5333 loss_action_cls: 0.0451 loss: 0.0451 2022/08/10 15:52:33 - mmengine - INFO - Epoch(train) [2][1320/2881] lr: 7.5614e-02 eta: 5:18:13 time: 0.7294 data_time: 0.0237 memory: 15338 grad_norm: 0.2605 recall@thr=0.5: 0.7828 prec@thr=0.5: 0.8384 recall@top3: 0.8030 prec@top3: 0.8081 recall@top5: 0.9318 prec@top5: 0.5758 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 15:52:47 - mmengine - INFO - Epoch(train) [2][1340/2881] lr: 7.5926e-02 eta: 5:17:49 time: 0.6970 data_time: 0.0225 memory: 15165 grad_norm: 0.2832 recall@thr=0.5: 0.7099 prec@thr=0.5: 0.7500 recall@top3: 0.7407 prec@top3: 0.6667 recall@top5: 0.8395 prec@top5: 0.4667 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 15:53:00 - mmengine - INFO - Epoch(train) [2][1360/2881] lr: 7.6239e-02 eta: 5:17:22 time: 0.6789 data_time: 0.0230 memory: 15433 grad_norm: 0.3087 recall@thr=0.5: 0.4964 prec@thr=0.5: 0.7971 recall@top3: 0.6413 prec@top3: 0.6232 recall@top5: 0.8514 prec@top5: 0.4957 loss_action_cls: 0.0479 loss: 0.0479 2022/08/10 15:53:14 - mmengine - INFO - Epoch(train) [2][1380/2881] lr: 7.6551e-02 eta: 5:16:55 time: 0.6774 data_time: 0.0215 memory: 15510 grad_norm: 0.3428 recall@thr=0.5: 0.5567 prec@thr=0.5: 0.6800 recall@top3: 0.6433 prec@top3: 0.5467 recall@top5: 0.8000 prec@top5: 0.4160 loss_action_cls: 0.0529 loss: 0.0529 2022/08/10 15:53:30 - mmengine - INFO - Epoch(train) [2][1400/2881] lr: 7.6863e-02 eta: 5:16:41 time: 0.7900 data_time: 0.0242 memory: 15357 grad_norm: 0.3220 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7018 recall@top3: 0.6930 prec@top3: 0.5614 recall@top5: 0.9298 prec@top5: 0.4526 loss_action_cls: 0.0471 loss: 0.0471 2022/08/10 15:53:48 - mmengine - INFO - Epoch(train) [2][1420/2881] lr: 7.7176e-02 eta: 5:16:43 time: 0.9253 data_time: 0.0252 memory: 15300 grad_norm: 0.2759 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7807 recall@top3: 0.8246 prec@top3: 0.7719 recall@top5: 0.9211 prec@top5: 0.5263 loss_action_cls: 0.0500 loss: 0.0500 2022/08/10 15:54:02 - mmengine - INFO - Epoch(train) [2][1440/2881] lr: 7.7488e-02 eta: 5:16:17 time: 0.6868 data_time: 0.0247 memory: 15318 grad_norm: 0.2515 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.7063 recall@top3: 0.7048 prec@top3: 0.6190 recall@top5: 0.8024 prec@top5: 0.4476 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 15:54:16 - mmengine - INFO - Epoch(train) [2][1460/2881] lr: 7.7801e-02 eta: 5:15:55 time: 0.7142 data_time: 0.0259 memory: 15318 grad_norm: 0.2708 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.8083 recall@top3: 0.8417 prec@top3: 0.7000 recall@top5: 0.9667 prec@top5: 0.4600 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 15:54:30 - mmengine - INFO - Epoch(train) [2][1480/2881] lr: 7.8113e-02 eta: 5:15:30 time: 0.6911 data_time: 0.0237 memory: 15567 grad_norm: 0.3063 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7917 recall@top3: 0.7986 prec@top3: 0.7083 recall@top5: 0.9514 prec@top5: 0.5167 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 15:54:44 - mmengine - INFO - Epoch(train) [2][1500/2881] lr: 7.8426e-02 eta: 5:15:08 time: 0.7148 data_time: 0.0263 memory: 15280 grad_norm: 0.3145 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7118 recall@top3: 0.7500 prec@top3: 0.6806 recall@top5: 0.9444 prec@top5: 0.5000 loss_action_cls: 0.0505 loss: 0.0505 2022/08/10 15:55:01 - mmengine - INFO - Epoch(train) [2][1520/2881] lr: 7.8738e-02 eta: 5:14:59 time: 0.8353 data_time: 0.0225 memory: 15280 grad_norm: 0.3116 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.5900 recall@top3: 0.6027 prec@top3: 0.5067 recall@top5: 0.9053 prec@top5: 0.4560 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 15:55:15 - mmengine - INFO - Epoch(train) [2][1540/2881] lr: 7.9051e-02 eta: 5:14:34 time: 0.6799 data_time: 0.0270 memory: 15395 grad_norm: 0.3143 recall@thr=0.5: 0.6278 prec@thr=0.5: 0.8519 recall@top3: 0.7401 prec@top3: 0.7531 recall@top5: 0.9204 prec@top5: 0.5704 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 15:55:29 - mmengine - INFO - Epoch(train) [2][1560/2881] lr: 7.9363e-02 eta: 5:14:11 time: 0.7067 data_time: 0.0237 memory: 15261 grad_norm: 0.2721 recall@thr=0.5: 0.5307 prec@thr=0.5: 0.6316 recall@top3: 0.8114 prec@top3: 0.7193 recall@top5: 0.9342 prec@top5: 0.5053 loss_action_cls: 0.0431 loss: 0.0431 2022/08/10 15:55:43 - mmengine - INFO - Epoch(train) [2][1580/2881] lr: 7.9675e-02 eta: 5:13:46 time: 0.6878 data_time: 0.0259 memory: 15452 grad_norm: 0.2824 recall@thr=0.5: 0.5517 prec@thr=0.5: 0.6862 recall@top3: 0.6437 prec@top3: 0.6207 recall@top5: 0.8132 prec@top5: 0.4690 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 15:55:58 - mmengine - INFO - Epoch(train) [2][1600/2881] lr: 7.9988e-02 eta: 5:13:30 time: 0.7735 data_time: 0.0305 memory: 15318 grad_norm: 0.2950 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7569 recall@top3: 0.8333 prec@top3: 0.7059 recall@top5: 0.8922 prec@top5: 0.4588 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 15:56:12 - mmengine - INFO - Epoch(train) [2][1620/2881] lr: 8.0300e-02 eta: 5:13:06 time: 0.6949 data_time: 0.0301 memory: 15300 grad_norm: 0.2756 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.8026 recall@top3: 0.7675 prec@top3: 0.7368 recall@top5: 0.9211 prec@top5: 0.5368 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 15:56:26 - mmengine - INFO - Epoch(train) [2][1640/2881] lr: 8.0613e-02 eta: 5:12:44 time: 0.7069 data_time: 0.0233 memory: 15280 grad_norm: 0.2566 recall@thr=0.5: 0.4356 prec@thr=0.5: 0.5530 recall@top3: 0.5265 prec@top3: 0.4394 recall@top5: 0.8068 prec@top5: 0.3909 loss_action_cls: 0.0469 loss: 0.0469 2022/08/10 15:56:40 - mmengine - INFO - Epoch(train) [2][1660/2881] lr: 8.0925e-02 eta: 5:12:22 time: 0.7142 data_time: 0.0265 memory: 15280 grad_norm: 0.2778 recall@thr=0.5: 0.5747 prec@thr=0.5: 0.6839 recall@top3: 0.7184 prec@top3: 0.5517 recall@top5: 0.8448 prec@top5: 0.3862 loss_action_cls: 0.0452 loss: 0.0452 2022/08/10 15:56:54 - mmengine - INFO - Epoch(train) [2][1680/2881] lr: 8.1238e-02 eta: 5:11:55 time: 0.6620 data_time: 0.0210 memory: 15395 grad_norm: 0.2819 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.7515 recall@top3: 0.8333 prec@top3: 0.7273 recall@top5: 0.9545 prec@top5: 0.5182 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 15:57:08 - mmengine - INFO - Epoch(train) [2][1700/2881] lr: 8.1550e-02 eta: 5:11:37 time: 0.7443 data_time: 0.0212 memory: 15433 grad_norm: 0.2831 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6014 recall@top3: 0.7609 prec@top3: 0.6232 recall@top5: 0.8623 prec@top5: 0.4261 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 15:57:24 - mmengine - INFO - Epoch(train) [2][1720/2881] lr: 8.1863e-02 eta: 5:11:23 time: 0.7852 data_time: 0.0241 memory: 15280 grad_norm: 0.2940 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.7232 recall@top3: 0.7500 prec@top3: 0.7500 recall@top5: 0.8988 prec@top5: 0.5571 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 15:57:39 - mmengine - INFO - Epoch(train) [2][1740/2881] lr: 8.2175e-02 eta: 5:11:06 time: 0.7583 data_time: 0.0236 memory: 15338 grad_norm: 0.2907 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.5833 recall@top3: 0.8981 prec@top3: 0.6667 recall@top5: 0.9861 prec@top5: 0.4444 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 15:57:54 - mmengine - INFO - Epoch(train) [2][1760/2881] lr: 8.2487e-02 eta: 5:10:46 time: 0.7333 data_time: 0.0258 memory: 15395 grad_norm: 0.2795 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6842 recall@top3: 0.7333 prec@top3: 0.5439 recall@top5: 0.8404 prec@top5: 0.3789 loss_action_cls: 0.0476 loss: 0.0476 2022/08/10 15:58:08 - mmengine - INFO - Epoch(train) [2][1780/2881] lr: 8.2800e-02 eta: 5:10:26 time: 0.7242 data_time: 0.0256 memory: 15338 grad_norm: 0.2660 recall@thr=0.5: 0.7785 prec@thr=0.5: 0.8441 recall@top3: 0.8027 prec@top3: 0.7419 recall@top5: 0.9070 prec@top5: 0.5097 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 15:58:22 - mmengine - INFO - Epoch(train) [2][1800/2881] lr: 8.3112e-02 eta: 5:10:02 time: 0.6834 data_time: 0.0283 memory: 15300 grad_norm: 0.2707 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7276 recall@top3: 0.7436 prec@top3: 0.6667 recall@top5: 0.9103 prec@top5: 0.5000 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 15:58:36 - mmengine - INFO - Epoch(train) [2][1820/2881] lr: 8.3425e-02 eta: 5:09:39 time: 0.7040 data_time: 0.0226 memory: 15300 grad_norm: 0.2969 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.5741 recall@top3: 0.6574 prec@top3: 0.4259 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 15:58:50 - mmengine - INFO - Epoch(train) [2][1840/2881] lr: 8.3737e-02 eta: 5:09:15 time: 0.6829 data_time: 0.0246 memory: 15280 grad_norm: 0.2809 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.7778 recall@top3: 0.8333 prec@top3: 0.7593 recall@top5: 0.9444 prec@top5: 0.5111 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 15:59:03 - mmengine - INFO - Epoch(train) [2][1860/2881] lr: 8.4050e-02 eta: 5:08:48 time: 0.6595 data_time: 0.0217 memory: 15261 grad_norm: 0.2720 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.6875 recall@top3: 0.7111 prec@top3: 0.6806 recall@top5: 0.9069 prec@top5: 0.5250 loss_action_cls: 0.0471 loss: 0.0471 2022/08/10 15:59:17 - mmengine - INFO - Epoch(train) [2][1880/2881] lr: 8.4362e-02 eta: 5:08:25 time: 0.6938 data_time: 0.0250 memory: 15242 grad_norm: 0.2573 recall@thr=0.5: 0.5719 prec@thr=0.5: 0.6579 recall@top3: 0.6526 prec@top3: 0.4737 recall@top5: 0.8825 prec@top5: 0.3895 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 15:59:31 - mmengine - INFO - Epoch(train) [2][1900/2881] lr: 8.4675e-02 eta: 5:08:02 time: 0.6898 data_time: 0.0224 memory: 15261 grad_norm: 0.2771 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8426 recall@top3: 0.8241 prec@top3: 0.6481 recall@top5: 0.9074 prec@top5: 0.4444 loss_action_cls: 0.0501 loss: 0.0501 2022/08/10 15:59:44 - mmengine - INFO - Epoch(train) [2][1920/2881] lr: 8.4987e-02 eta: 5:07:36 time: 0.6674 data_time: 0.0230 memory: 15414 grad_norm: 0.2790 recall@thr=0.5: 0.5400 prec@thr=0.5: 0.6600 recall@top3: 0.6767 prec@top3: 0.5867 recall@top5: 0.8967 prec@top5: 0.4720 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 15:59:59 - mmengine - INFO - Epoch(train) [2][1940/2881] lr: 8.5299e-02 eta: 5:07:19 time: 0.7516 data_time: 0.0286 memory: 15357 grad_norm: 0.2716 recall@thr=0.5: 0.4638 prec@thr=0.5: 0.5725 recall@top3: 0.5906 prec@top3: 0.4928 recall@top5: 0.8152 prec@top5: 0.4261 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 16:00:12 - mmengine - INFO - Epoch(train) [2][1960/2881] lr: 8.5612e-02 eta: 5:06:52 time: 0.6542 data_time: 0.0223 memory: 15280 grad_norm: 0.2424 recall@thr=0.5: 0.5800 prec@thr=0.5: 0.6800 recall@top3: 0.8133 prec@top3: 0.5733 recall@top5: 0.9467 prec@top5: 0.4160 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 16:00:26 - mmengine - INFO - Epoch(train) [2][1980/2881] lr: 8.5924e-02 eta: 5:06:28 time: 0.6753 data_time: 0.0231 memory: 15414 grad_norm: 0.2897 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8333 recall@top3: 0.8947 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4105 loss_action_cls: 0.0459 loss: 0.0459 2022/08/10 16:00:40 - mmengine - INFO - Epoch(train) [2][2000/2881] lr: 8.6237e-02 eta: 5:06:10 time: 0.7366 data_time: 0.0233 memory: 15280 grad_norm: 0.3174 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6471 recall@top3: 0.8137 prec@top3: 0.5882 recall@top5: 0.9314 prec@top5: 0.4235 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 16:00:54 - mmengine - INFO - Epoch(train) [2][2020/2881] lr: 8.6549e-02 eta: 5:05:45 time: 0.6749 data_time: 0.0212 memory: 15280 grad_norm: 0.2645 recall@thr=0.5: 0.7433 prec@thr=0.5: 0.8767 recall@top3: 0.8733 prec@top3: 0.6267 recall@top5: 0.9633 prec@top5: 0.4240 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 16:01:08 - mmengine - INFO - Epoch(train) [2][2040/2881] lr: 8.6862e-02 eta: 5:05:25 time: 0.7198 data_time: 0.0254 memory: 15472 grad_norm: 0.2783 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6790 recall@top3: 0.8364 prec@top3: 0.6667 recall@top5: 0.9568 prec@top5: 0.4667 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 16:01:22 - mmengine - INFO - Epoch(train) [2][2060/2881] lr: 8.7174e-02 eta: 5:05:00 time: 0.6626 data_time: 0.0269 memory: 15242 grad_norm: 0.2826 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7593 recall@top3: 0.7389 prec@top3: 0.5185 recall@top5: 0.8444 prec@top5: 0.3778 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 16:01:35 - mmengine - INFO - Epoch(train) [2][2080/2881] lr: 8.7487e-02 eta: 5:04:37 time: 0.6878 data_time: 0.0197 memory: 15261 grad_norm: 0.2935 recall@thr=0.5: 0.5969 prec@thr=0.5: 0.8854 recall@top3: 0.7552 prec@top3: 0.6458 recall@top5: 0.9250 prec@top5: 0.5125 loss_action_cls: 0.0500 loss: 0.0500 2022/08/10 16:01:49 - mmengine - INFO - Epoch(train) [2][2100/2881] lr: 8.7799e-02 eta: 5:04:16 time: 0.7086 data_time: 0.0291 memory: 15357 grad_norm: 0.3120 recall@thr=0.5: 0.4398 prec@thr=0.5: 0.6898 recall@top3: 0.6944 prec@top3: 0.6111 recall@top5: 0.9259 prec@top5: 0.5000 loss_action_cls: 0.0499 loss: 0.0499 2022/08/10 16:02:02 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 16:02:03 - mmengine - INFO - Epoch(train) [2][2120/2881] lr: 8.8111e-02 eta: 5:03:53 time: 0.6837 data_time: 0.0225 memory: 15357 grad_norm: 0.2937 recall@thr=0.5: 0.6286 prec@thr=0.5: 0.6508 recall@top3: 0.7524 prec@top3: 0.5556 recall@top5: 0.8667 prec@top5: 0.4095 loss_action_cls: 0.0482 loss: 0.0482 2022/08/10 16:02:18 - mmengine - INFO - Epoch(train) [2][2140/2881] lr: 8.8424e-02 eta: 5:03:33 time: 0.7192 data_time: 0.0242 memory: 15491 grad_norm: 0.3029 recall@thr=0.5: 0.7535 prec@thr=0.5: 0.6319 recall@top3: 0.8021 prec@top3: 0.5139 recall@top5: 0.9479 prec@top5: 0.3667 loss_action_cls: 0.0507 loss: 0.0507 2022/08/10 16:02:31 - mmengine - INFO - Epoch(train) [2][2160/2881] lr: 8.8736e-02 eta: 5:03:10 time: 0.6820 data_time: 0.0247 memory: 15548 grad_norm: 0.2350 recall@thr=0.5: 0.9348 prec@thr=0.5: 0.9167 recall@top3: 0.9638 prec@top3: 0.6957 recall@top5: 0.9783 prec@top5: 0.4261 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:02:45 - mmengine - INFO - Epoch(train) [2][2180/2881] lr: 8.9049e-02 eta: 5:02:47 time: 0.6798 data_time: 0.0225 memory: 15127 grad_norm: 0.2649 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7841 recall@top3: 0.7879 prec@top3: 0.7879 recall@top5: 0.9848 prec@top5: 0.6000 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:02:59 - mmengine - INFO - Epoch(train) [2][2200/2881] lr: 8.9361e-02 eta: 5:02:27 time: 0.7176 data_time: 0.0237 memory: 15261 grad_norm: 0.2775 recall@thr=0.5: 0.4815 prec@thr=0.5: 0.5833 recall@top3: 0.5648 prec@top3: 0.4444 recall@top5: 0.8102 prec@top5: 0.3889 loss_action_cls: 0.0493 loss: 0.0493 2022/08/10 16:03:12 - mmengine - INFO - Epoch(train) [2][2220/2881] lr: 8.9674e-02 eta: 5:02:02 time: 0.6594 data_time: 0.0227 memory: 15357 grad_norm: 0.2398 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8500 recall@top3: 0.8250 prec@top3: 0.6167 recall@top5: 0.9250 prec@top5: 0.4200 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 16:03:27 - mmengine - INFO - Epoch(train) [2][2240/2881] lr: 8.9986e-02 eta: 5:01:41 time: 0.7104 data_time: 0.0286 memory: 15184 grad_norm: 0.2431 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.7826 recall@top3: 0.8841 prec@top3: 0.6812 recall@top5: 0.9710 prec@top5: 0.4522 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 16:03:41 - mmengine - INFO - Epoch(train) [2][2260/2881] lr: 9.0299e-02 eta: 5:01:21 time: 0.7071 data_time: 0.0253 memory: 15472 grad_norm: 0.2543 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.6833 recall@top3: 0.8458 prec@top3: 0.6000 recall@top5: 0.9250 prec@top5: 0.4000 loss_action_cls: 0.0467 loss: 0.0467 2022/08/10 16:03:55 - mmengine - INFO - Epoch(train) [2][2280/2881] lr: 9.0611e-02 eta: 5:01:00 time: 0.7029 data_time: 0.0222 memory: 15300 grad_norm: 0.2607 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.7917 recall@top3: 0.8788 prec@top3: 0.6970 recall@top5: 0.9773 prec@top5: 0.4636 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:04:09 - mmengine - INFO - Epoch(train) [2][2300/2881] lr: 9.0923e-02 eta: 5:00:39 time: 0.7025 data_time: 0.0272 memory: 15357 grad_norm: 0.2838 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.7500 recall@top5: 0.9286 prec@top5: 0.4929 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 16:04:23 - mmengine - INFO - Epoch(train) [2][2320/2881] lr: 9.1236e-02 eta: 5:00:17 time: 0.6900 data_time: 0.0257 memory: 15376 grad_norm: 0.2709 recall@thr=0.5: 0.5247 prec@thr=0.5: 0.7654 recall@top3: 0.6852 prec@top3: 0.5802 recall@top5: 0.8488 prec@top5: 0.4370 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 16:04:36 - mmengine - INFO - Epoch(train) [2][2340/2881] lr: 9.1548e-02 eta: 4:59:56 time: 0.6943 data_time: 0.0223 memory: 15242 grad_norm: 0.2748 recall@thr=0.5: 0.6125 prec@thr=0.5: 0.8083 recall@top3: 0.8083 prec@top3: 0.6500 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0441 loss: 0.0441 2022/08/10 16:04:51 - mmengine - INFO - Epoch(train) [2][2360/2881] lr: 9.1861e-02 eta: 4:59:38 time: 0.7379 data_time: 0.0238 memory: 15318 grad_norm: 0.2779 recall@thr=0.5: 0.8644 prec@thr=0.5: 0.8220 recall@top3: 0.9045 prec@top3: 0.8182 recall@top5: 0.9758 prec@top5: 0.5455 loss_action_cls: 0.0476 loss: 0.0476 2022/08/10 16:05:05 - mmengine - INFO - Epoch(train) [2][2380/2881] lr: 9.2173e-02 eta: 4:59:18 time: 0.7033 data_time: 0.0255 memory: 15376 grad_norm: 0.2765 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.7857 recall@top3: 0.6984 prec@top3: 0.6349 recall@top5: 0.9048 prec@top5: 0.4857 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 16:05:20 - mmengine - INFO - Epoch(train) [2][2400/2881] lr: 9.2486e-02 eta: 4:58:59 time: 0.7208 data_time: 0.0249 memory: 15376 grad_norm: 0.2961 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.6194 recall@top3: 0.7322 prec@top3: 0.6444 recall@top5: 0.8933 prec@top5: 0.4667 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 16:05:33 - mmengine - INFO - Epoch(train) [2][2420/2881] lr: 9.2798e-02 eta: 4:58:36 time: 0.6749 data_time: 0.0224 memory: 15261 grad_norm: 0.2655 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7540 recall@top3: 0.7024 prec@top3: 0.6508 recall@top5: 0.8849 prec@top5: 0.5238 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 16:05:47 - mmengine - INFO - Epoch(train) [2][2440/2881] lr: 9.3111e-02 eta: 4:58:14 time: 0.6917 data_time: 0.0225 memory: 15376 grad_norm: 0.2579 recall@thr=0.5: 0.7454 prec@thr=0.5: 0.7824 recall@top3: 0.8681 prec@top3: 0.7500 recall@top5: 0.9722 prec@top5: 0.5167 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 16:06:01 - mmengine - INFO - Epoch(train) [2][2460/2881] lr: 9.3423e-02 eta: 4:57:55 time: 0.7175 data_time: 0.0235 memory: 15586 grad_norm: 0.2392 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7531 recall@top3: 0.6728 prec@top3: 0.5802 recall@top5: 0.9012 prec@top5: 0.4593 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 16:06:15 - mmengine - INFO - Epoch(train) [2][2480/2881] lr: 9.3735e-02 eta: 4:57:33 time: 0.6803 data_time: 0.0267 memory: 15414 grad_norm: 0.2663 recall@thr=0.5: 0.6300 prec@thr=0.5: 0.5533 recall@top3: 0.7133 prec@top3: 0.5733 recall@top5: 0.8167 prec@top5: 0.4080 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 16:06:29 - mmengine - INFO - Epoch(train) [2][2500/2881] lr: 9.4048e-02 eta: 4:57:12 time: 0.7002 data_time: 0.0237 memory: 15300 grad_norm: 0.2718 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.8095 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.9206 prec@top5: 0.4762 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 16:06:44 - mmengine - INFO - Epoch(train) [2][2520/2881] lr: 9.4360e-02 eta: 4:56:55 time: 0.7400 data_time: 0.0217 memory: 15318 grad_norm: 0.2422 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8587 recall@top3: 0.8188 prec@top3: 0.8551 recall@top5: 0.9420 prec@top5: 0.6000 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 16:06:58 - mmengine - INFO - Epoch(train) [2][2540/2881] lr: 9.4673e-02 eta: 4:56:34 time: 0.6894 data_time: 0.0229 memory: 15357 grad_norm: 0.2756 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.9531 recall@top3: 0.8698 prec@top3: 0.8333 recall@top5: 0.9583 prec@top5: 0.5625 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 16:07:11 - mmengine - INFO - Epoch(train) [2][2560/2881] lr: 9.4985e-02 eta: 4:56:10 time: 0.6661 data_time: 0.0218 memory: 15376 grad_norm: 0.2730 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.6944 recall@top3: 0.7861 prec@top3: 0.4889 recall@top5: 0.9556 prec@top5: 0.3533 loss_action_cls: 0.0492 loss: 0.0492 2022/08/10 16:07:26 - mmengine - INFO - Epoch(train) [2][2580/2881] lr: 9.5298e-02 eta: 4:55:54 time: 0.7495 data_time: 0.0219 memory: 15433 grad_norm: 0.2652 recall@thr=0.5: 0.8352 prec@thr=0.5: 0.8611 recall@top3: 0.9093 prec@top3: 0.7407 recall@top5: 0.9370 prec@top5: 0.4667 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:07:40 - mmengine - INFO - Epoch(train) [2][2600/2881] lr: 9.5610e-02 eta: 4:55:33 time: 0.6902 data_time: 0.0221 memory: 15261 grad_norm: 0.2611 recall@thr=0.5: 0.5617 prec@thr=0.5: 0.6778 recall@top3: 0.7061 prec@top3: 0.6222 recall@top5: 0.8822 prec@top5: 0.4733 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 16:07:53 - mmengine - INFO - Epoch(train) [2][2620/2881] lr: 9.5923e-02 eta: 4:55:11 time: 0.6808 data_time: 0.0211 memory: 15261 grad_norm: 0.2553 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.6849 recall@top3: 0.8016 prec@top3: 0.5714 recall@top5: 0.9444 prec@top5: 0.4381 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 16:08:07 - mmengine - INFO - Epoch(train) [2][2640/2881] lr: 9.6235e-02 eta: 4:54:50 time: 0.6940 data_time: 0.0252 memory: 15261 grad_norm: 0.2460 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7738 recall@top3: 0.8631 prec@top3: 0.4762 recall@top5: 0.9821 prec@top5: 0.3429 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 16:08:27 - mmengine - INFO - Epoch(train) [2][2660/2881] lr: 9.6547e-02 eta: 4:54:53 time: 0.9725 data_time: 0.0236 memory: 15452 grad_norm: 0.2736 recall@thr=0.5: 0.7428 prec@thr=0.5: 0.8696 recall@top3: 0.7971 prec@top3: 0.6812 recall@top5: 0.8986 prec@top5: 0.4696 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 16:08:41 - mmengine - INFO - Epoch(train) [2][2680/2881] lr: 9.6860e-02 eta: 4:54:32 time: 0.6913 data_time: 0.0245 memory: 15433 grad_norm: 0.2414 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.6778 recall@top3: 0.8667 prec@top3: 0.5111 recall@top5: 0.9333 prec@top5: 0.3200 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 16:08:54 - mmengine - INFO - Epoch(train) [2][2700/2881] lr: 9.7172e-02 eta: 4:54:11 time: 0.6888 data_time: 0.0225 memory: 15223 grad_norm: 0.2555 recall@thr=0.5: 0.4130 prec@thr=0.5: 0.6667 recall@top3: 0.5761 prec@top3: 0.5942 recall@top5: 0.8152 prec@top5: 0.4783 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 16:09:09 - mmengine - INFO - Epoch(train) [2][2720/2881] lr: 9.7485e-02 eta: 4:53:54 time: 0.7427 data_time: 0.0225 memory: 15357 grad_norm: 0.2478 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.6875 recall@top3: 0.7708 prec@top3: 0.7083 recall@top5: 0.9167 prec@top5: 0.5167 loss_action_cls: 0.0414 loss: 0.0414 2022/08/10 16:09:23 - mmengine - INFO - Epoch(train) [2][2740/2881] lr: 9.7797e-02 eta: 4:53:32 time: 0.6753 data_time: 0.0285 memory: 15548 grad_norm: 0.2679 recall@thr=0.5: 0.6976 prec@thr=0.5: 0.8214 recall@top3: 0.7952 prec@top3: 0.7857 recall@top5: 0.9839 prec@top5: 0.5929 loss_action_cls: 0.0477 loss: 0.0477 2022/08/10 16:09:36 - mmengine - INFO - Epoch(train) [2][2760/2881] lr: 9.8110e-02 eta: 4:53:10 time: 0.6772 data_time: 0.0218 memory: 15338 grad_norm: 0.2546 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7619 recall@top3: 0.8730 prec@top3: 0.5556 recall@top5: 0.9524 prec@top5: 0.3714 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 16:09:50 - mmengine - INFO - Epoch(train) [2][2780/2881] lr: 9.8422e-02 eta: 4:52:50 time: 0.6955 data_time: 0.0235 memory: 15452 grad_norm: 0.2485 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8864 recall@top3: 0.9508 prec@top3: 0.7424 recall@top5: 1.0000 prec@top5: 0.4818 loss_action_cls: 0.0413 loss: 0.0413 2022/08/10 16:10:05 - mmengine - INFO - Epoch(train) [2][2800/2881] lr: 9.8735e-02 eta: 4:52:32 time: 0.7213 data_time: 0.0210 memory: 15242 grad_norm: 0.2622 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.4841 recall@top3: 0.6825 prec@top3: 0.5079 recall@top5: 0.8730 prec@top5: 0.3810 loss_action_cls: 0.0485 loss: 0.0485 2022/08/10 16:10:19 - mmengine - INFO - Epoch(train) [2][2820/2881] lr: 9.9047e-02 eta: 4:52:13 time: 0.7170 data_time: 0.0311 memory: 15414 grad_norm: 0.2552 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.8194 recall@top3: 0.7292 prec@top3: 0.7083 recall@top5: 0.8646 prec@top5: 0.5167 loss_action_cls: 0.0457 loss: 0.0457 2022/08/10 16:10:33 - mmengine - INFO - Epoch(train) [2][2840/2881] lr: 9.9359e-02 eta: 4:51:52 time: 0.6832 data_time: 0.0219 memory: 15184 grad_norm: 0.2567 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7333 recall@top3: 0.7400 prec@top3: 0.5333 recall@top5: 0.8800 prec@top5: 0.3840 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 16:10:46 - mmengine - INFO - Epoch(train) [2][2860/2881] lr: 9.9672e-02 eta: 4:51:31 time: 0.6910 data_time: 0.0232 memory: 15318 grad_norm: 0.2478 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.9123 recall@top3: 0.8289 prec@top3: 0.7544 recall@top5: 0.8947 prec@top5: 0.5053 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 16:11:02 - mmengine - INFO - Epoch(train) [2][2880/2881] lr: 9.9984e-02 eta: 4:51:16 time: 0.7631 data_time: 0.0230 memory: 15338 grad_norm: 0.2520 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.5458 recall@top3: 0.6500 prec@top3: 0.5167 recall@top5: 0.9000 prec@top5: 0.4100 loss_action_cls: 0.0467 loss: 0.0467 2022/08/10 16:11:02 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 16:11:02 - mmengine - INFO - Epoch(train) [2][2881/2881] lr: 1.0000e-01 eta: 4:51:16 time: 0.7581 data_time: 0.0191 memory: 15012 grad_norm: 0.2540 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.6667 recall@top3: 0.7368 prec@top3: 0.4912 recall@top5: 0.8947 prec@top5: 0.3895 loss_action_cls: 0.0471 loss: 0.0471 2022/08/10 16:11:02 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/10 16:11:12 - mmengine - INFO - Epoch(val) [2][20/6282] eta: 0:06:50 time: 0.0655 data_time: 0.0135 memory: 1670 2022/08/10 16:11:13 - mmengine - INFO - Epoch(val) [2][40/6282] eta: 0:05:30 time: 0.0529 data_time: 0.0032 memory: 1670 2022/08/10 16:11:14 - mmengine - INFO - Epoch(val) [2][60/6282] eta: 0:05:12 time: 0.0502 data_time: 0.0044 memory: 1670 2022/08/10 16:11:15 - mmengine - INFO - Epoch(val) [2][80/6282] eta: 0:05:23 time: 0.0522 data_time: 0.0053 memory: 1670 2022/08/10 16:11:16 - mmengine - INFO - Epoch(val) [2][100/6282] eta: 0:05:36 time: 0.0544 data_time: 0.0063 memory: 1670 2022/08/10 16:11:18 - mmengine - INFO - Epoch(val) [2][120/6282] eta: 0:09:10 time: 0.0893 data_time: 0.0063 memory: 1704 2022/08/10 16:11:19 - mmengine - INFO - Epoch(val) [2][140/6282] eta: 0:07:03 time: 0.0689 data_time: 0.0050 memory: 1704 2022/08/10 16:11:21 - mmengine - INFO - Epoch(val) [2][160/6282] eta: 0:07:36 time: 0.0746 data_time: 0.0048 memory: 1704 2022/08/10 16:11:22 - mmengine - INFO - Epoch(val) [2][180/6282] eta: 0:08:01 time: 0.0789 data_time: 0.0165 memory: 1704 2022/08/10 16:11:25 - mmengine - INFO - Epoch(val) [2][200/6282] eta: 0:11:42 time: 0.1154 data_time: 0.0582 memory: 1704 2022/08/10 16:11:26 - mmengine - INFO - Epoch(val) [2][220/6282] eta: 0:07:18 time: 0.0723 data_time: 0.0228 memory: 1677 2022/08/10 16:11:27 - mmengine - INFO - Epoch(val) [2][240/6282] eta: 0:05:50 time: 0.0579 data_time: 0.0030 memory: 1677 2022/08/10 16:11:28 - mmengine - INFO - Epoch(val) [2][260/6282] eta: 0:05:09 time: 0.0514 data_time: 0.0029 memory: 1677 2022/08/10 16:11:32 - mmengine - INFO - Epoch(val) [2][280/6282] eta: 0:19:19 time: 0.1933 data_time: 0.1398 memory: 1677 2022/08/10 16:11:34 - mmengine - INFO - Epoch(val) [2][300/6282] eta: 0:07:00 time: 0.0703 data_time: 0.0049 memory: 1704 2022/08/10 16:11:35 - mmengine - INFO - Epoch(val) [2][320/6282] eta: 0:07:09 time: 0.0721 data_time: 0.0047 memory: 1906 2022/08/10 16:11:37 - mmengine - INFO - Epoch(val) [2][340/6282] eta: 0:08:42 time: 0.0879 data_time: 0.0062 memory: 1774 2022/08/10 16:11:38 - mmengine - INFO - Epoch(val) [2][360/6282] eta: 0:06:20 time: 0.0642 data_time: 0.0030 memory: 1840 2022/08/10 16:11:39 - mmengine - INFO - Epoch(val) [2][380/6282] eta: 0:06:14 time: 0.0635 data_time: 0.0029 memory: 1840 2022/08/10 16:11:40 - mmengine - INFO - Epoch(val) [2][400/6282] eta: 0:05:29 time: 0.0560 data_time: 0.0029 memory: 1704 2022/08/10 16:11:41 - mmengine - INFO - Epoch(val) [2][420/6282] eta: 0:04:53 time: 0.0501 data_time: 0.0028 memory: 1677 2022/08/10 16:11:42 - mmengine - INFO - Epoch(val) [2][440/6282] eta: 0:04:43 time: 0.0485 data_time: 0.0032 memory: 1677 2022/08/10 16:11:43 - mmengine - INFO - Epoch(val) [2][460/6282] eta: 0:04:59 time: 0.0514 data_time: 0.0041 memory: 1677 2022/08/10 16:11:44 - mmengine - INFO - Epoch(val) [2][480/6282] eta: 0:04:38 time: 0.0481 data_time: 0.0030 memory: 1677 2022/08/10 16:11:45 - mmengine - INFO - Epoch(val) [2][500/6282] eta: 0:04:36 time: 0.0479 data_time: 0.0028 memory: 1677 2022/08/10 16:11:51 - mmengine - INFO - Epoch(val) [2][520/6282] eta: 0:26:39 time: 0.2776 data_time: 0.2280 memory: 1677 2022/08/10 16:11:52 - mmengine - INFO - Epoch(val) [2][540/6282] eta: 0:05:01 time: 0.0525 data_time: 0.0028 memory: 1677 2022/08/10 16:11:53 - mmengine - INFO - Epoch(val) [2][560/6282] eta: 0:04:54 time: 0.0514 data_time: 0.0027 memory: 1677 2022/08/10 16:11:54 - mmengine - INFO - Epoch(val) [2][580/6282] eta: 0:04:50 time: 0.0509 data_time: 0.0025 memory: 1677 2022/08/10 16:11:55 - mmengine - INFO - Epoch(val) [2][600/6282] eta: 0:04:52 time: 0.0514 data_time: 0.0030 memory: 1677 2022/08/10 16:11:56 - mmengine - INFO - Epoch(val) [2][620/6282] eta: 0:04:35 time: 0.0487 data_time: 0.0033 memory: 1677 2022/08/10 16:11:57 - mmengine - INFO - Epoch(val) [2][640/6282] eta: 0:04:58 time: 0.0529 data_time: 0.0042 memory: 1675 2022/08/10 16:11:58 - mmengine - INFO - Epoch(val) [2][660/6282] eta: 0:05:00 time: 0.0534 data_time: 0.0038 memory: 1675 2022/08/10 16:11:59 - mmengine - INFO - Epoch(val) [2][680/6282] eta: 0:04:40 time: 0.0501 data_time: 0.0036 memory: 1675 2022/08/10 16:12:00 - mmengine - INFO - Epoch(val) [2][700/6282] eta: 0:04:56 time: 0.0532 data_time: 0.0030 memory: 1675 2022/08/10 16:12:03 - mmengine - INFO - Epoch(val) [2][720/6282] eta: 0:11:31 time: 0.1243 data_time: 0.0526 memory: 1939 2022/08/10 16:12:06 - mmengine - INFO - Epoch(val) [2][740/6282] eta: 0:15:57 time: 0.1728 data_time: 0.1007 memory: 1807 2022/08/10 16:12:10 - mmengine - INFO - Epoch(val) [2][760/6282] eta: 0:15:40 time: 0.1703 data_time: 0.1019 memory: 1774 2022/08/10 16:12:13 - mmengine - INFO - Epoch(val) [2][780/6282] eta: 0:15:06 time: 0.1647 data_time: 0.0993 memory: 1704 2022/08/10 16:12:16 - mmengine - INFO - Epoch(val) [2][800/6282] eta: 0:13:20 time: 0.1459 data_time: 0.0818 memory: 1704 2022/08/10 16:12:18 - mmengine - INFO - Epoch(val) [2][820/6282] eta: 0:08:05 time: 0.0890 data_time: 0.0327 memory: 1704 2022/08/10 16:12:19 - mmengine - INFO - Epoch(val) [2][840/6282] eta: 0:05:56 time: 0.0655 data_time: 0.0046 memory: 1722 2022/08/10 16:12:20 - mmengine - INFO - Epoch(val) [2][860/6282] eta: 0:05:34 time: 0.0618 data_time: 0.0037 memory: 1677 2022/08/10 16:12:21 - mmengine - INFO - Epoch(val) [2][880/6282] eta: 0:05:25 time: 0.0602 data_time: 0.0050 memory: 1677 2022/08/10 16:12:22 - mmengine - INFO - Epoch(val) [2][900/6282] eta: 0:05:08 time: 0.0573 data_time: 0.0034 memory: 1677 2022/08/10 16:12:24 - mmengine - INFO - Epoch(val) [2][920/6282] eta: 0:05:13 time: 0.0584 data_time: 0.0034 memory: 1697 2022/08/10 16:12:25 - mmengine - INFO - Epoch(val) [2][940/6282] eta: 0:04:46 time: 0.0537 data_time: 0.0040 memory: 1670 2022/08/10 16:12:26 - mmengine - INFO - Epoch(val) [2][960/6282] eta: 0:04:36 time: 0.0519 data_time: 0.0043 memory: 1670 2022/08/10 16:12:27 - mmengine - INFO - Epoch(val) [2][980/6282] eta: 0:05:54 time: 0.0669 data_time: 0.0057 memory: 1670 2022/08/10 16:12:28 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:04:46 time: 0.0543 data_time: 0.0047 memory: 1670 2022/08/10 16:12:29 - mmengine - INFO - Epoch(val) [2][1020/6282] eta: 0:04:54 time: 0.0560 data_time: 0.0044 memory: 1670 2022/08/10 16:12:30 - mmengine - INFO - Epoch(val) [2][1040/6282] eta: 0:05:02 time: 0.0577 data_time: 0.0048 memory: 1677 2022/08/10 16:12:32 - mmengine - INFO - Epoch(val) [2][1060/6282] eta: 0:07:42 time: 0.0886 data_time: 0.0375 memory: 1677 2022/08/10 16:12:34 - mmengine - INFO - Epoch(val) [2][1080/6282] eta: 0:09:34 time: 0.1105 data_time: 0.0576 memory: 1677 2022/08/10 16:12:36 - mmengine - INFO - Epoch(val) [2][1100/6282] eta: 0:04:37 time: 0.0536 data_time: 0.0057 memory: 1677 2022/08/10 16:12:37 - mmengine - INFO - Epoch(val) [2][1120/6282] eta: 0:07:17 time: 0.0848 data_time: 0.0337 memory: 1677 2022/08/10 16:12:38 - mmengine - INFO - Epoch(val) [2][1140/6282] eta: 0:04:32 time: 0.0530 data_time: 0.0037 memory: 1677 2022/08/10 16:12:39 - mmengine - INFO - Epoch(val) [2][1160/6282] eta: 0:04:44 time: 0.0556 data_time: 0.0045 memory: 1677 2022/08/10 16:12:41 - mmengine - INFO - Epoch(val) [2][1180/6282] eta: 0:04:51 time: 0.0571 data_time: 0.0047 memory: 1677 2022/08/10 16:12:42 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:05:12 time: 0.0615 data_time: 0.0064 memory: 1747 2022/08/10 16:12:43 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:05:07 time: 0.0607 data_time: 0.0052 memory: 1677 2022/08/10 16:12:46 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:11:37 time: 0.1384 data_time: 0.0744 memory: 1704 2022/08/10 16:12:49 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:12:16 time: 0.1466 data_time: 0.0760 memory: 1704 2022/08/10 16:12:59 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:42:00 time: 0.5038 data_time: 0.4399 memory: 1704 2022/08/10 16:13:01 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:11:00 time: 0.1325 data_time: 0.0561 memory: 1704 2022/08/10 16:13:05 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:14:20 time: 0.1734 data_time: 0.1023 memory: 1704 2022/08/10 16:13:08 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:12:02 time: 0.1463 data_time: 0.0801 memory: 1704 2022/08/10 16:13:11 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:14:58 time: 0.1826 data_time: 0.1182 memory: 1704 2022/08/10 16:13:14 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:10:33 time: 0.1293 data_time: 0.0683 memory: 1704 2022/08/10 16:13:18 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:14:57 time: 0.1838 data_time: 0.0974 memory: 1704 2022/08/10 16:13:20 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:10:51 time: 0.1340 data_time: 0.0735 memory: 1704 2022/08/10 16:13:22 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:07:50 time: 0.0971 data_time: 0.0280 memory: 1715 2022/08/10 16:13:24 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:05:55 time: 0.0738 data_time: 0.0042 memory: 1873 2022/08/10 16:13:25 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:05:40 time: 0.0708 data_time: 0.0058 memory: 1807 2022/08/10 16:13:27 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:06:03 time: 0.0761 data_time: 0.0075 memory: 1807 2022/08/10 16:13:28 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:05:45 time: 0.0726 data_time: 0.0047 memory: 1798 2022/08/10 16:13:30 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:07:13 time: 0.0914 data_time: 0.0066 memory: 1798 2022/08/10 16:13:32 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:06:59 time: 0.0889 data_time: 0.0064 memory: 1798 2022/08/10 16:13:34 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:06:43 time: 0.0858 data_time: 0.0057 memory: 1798 2022/08/10 16:13:35 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:06:36 time: 0.0846 data_time: 0.0056 memory: 1798 2022/08/10 16:13:37 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:08:11 time: 0.1054 data_time: 0.0060 memory: 1798 2022/08/10 16:13:39 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:05:46 time: 0.0747 data_time: 0.0043 memory: 1840 2022/08/10 16:13:40 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:05:15 time: 0.0683 data_time: 0.0041 memory: 1704 2022/08/10 16:13:42 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:05:02 time: 0.0657 data_time: 0.0048 memory: 1704 2022/08/10 16:13:43 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:05:36 time: 0.0735 data_time: 0.0042 memory: 1939 2022/08/10 16:13:45 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:05:45 time: 0.0757 data_time: 0.0038 memory: 1973 2022/08/10 16:13:46 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:05:00 time: 0.0662 data_time: 0.0045 memory: 1704 2022/08/10 16:13:47 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:05:21 time: 0.0710 data_time: 0.0043 memory: 1704 2022/08/10 16:13:49 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:05:18 time: 0.0707 data_time: 0.0046 memory: 1704 2022/08/10 16:13:50 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:05:40 time: 0.0760 data_time: 0.0045 memory: 1807 2022/08/10 16:13:52 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:05:42 time: 0.0768 data_time: 0.0049 memory: 1774 2022/08/10 16:13:53 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:06:14 time: 0.0843 data_time: 0.0117 memory: 1704 2022/08/10 16:13:57 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:13:09 time: 0.1785 data_time: 0.1127 memory: 1704 2022/08/10 16:14:00 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:10:39 time: 0.1452 data_time: 0.0789 memory: 1704 2022/08/10 16:14:03 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:12:06 time: 0.1659 data_time: 0.1019 memory: 1704 2022/08/10 16:14:06 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:09:26 time: 0.1299 data_time: 0.0614 memory: 1704 2022/08/10 16:14:08 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:09:02 time: 0.1250 data_time: 0.0631 memory: 1704 2022/08/10 16:14:10 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:04:09 time: 0.0578 data_time: 0.0050 memory: 1677 2022/08/10 16:14:11 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:04:07 time: 0.0575 data_time: 0.0043 memory: 1677 2022/08/10 16:14:12 - mmengine - INFO - Epoch(val) [2][2000/6282] eta: 0:04:05 time: 0.0573 data_time: 0.0045 memory: 1677 2022/08/10 16:14:13 - mmengine - INFO - Epoch(val) [2][2020/6282] eta: 0:04:06 time: 0.0578 data_time: 0.0044 memory: 1677 2022/08/10 16:14:14 - mmengine - INFO - Epoch(val) [2][2040/6282] eta: 0:04:14 time: 0.0599 data_time: 0.0051 memory: 1677 2022/08/10 16:14:15 - mmengine - INFO - Epoch(val) [2][2060/6282] eta: 0:04:01 time: 0.0572 data_time: 0.0051 memory: 1677 2022/08/10 16:14:17 - mmengine - INFO - Epoch(val) [2][2080/6282] eta: 0:06:30 time: 0.0929 data_time: 0.0040 memory: 1677 2022/08/10 16:14:19 - mmengine - INFO - Epoch(val) [2][2100/6282] eta: 0:05:04 time: 0.0729 data_time: 0.0266 memory: 1677 2022/08/10 16:14:21 - mmengine - INFO - Epoch(val) [2][2120/6282] eta: 0:07:30 time: 0.1083 data_time: 0.0592 memory: 1677 2022/08/10 16:14:22 - mmengine - INFO - Epoch(val) [2][2140/6282] eta: 0:03:23 time: 0.0492 data_time: 0.0035 memory: 1697 2022/08/10 16:14:23 - mmengine - INFO - Epoch(val) [2][2160/6282] eta: 0:05:12 time: 0.0759 data_time: 0.0283 memory: 1677 2022/08/10 16:14:24 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:03:30 time: 0.0514 data_time: 0.0030 memory: 1677 2022/08/10 16:14:25 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:03:38 time: 0.0536 data_time: 0.0034 memory: 1677 2022/08/10 16:14:27 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:03:45 time: 0.0554 data_time: 0.0044 memory: 1677 2022/08/10 16:14:32 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:18:35 time: 0.2759 data_time: 0.2162 memory: 1677 2022/08/10 16:14:33 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:04:26 time: 0.0664 data_time: 0.0053 memory: 1677 2022/08/10 16:14:35 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:04:08 time: 0.0621 data_time: 0.0051 memory: 1698 2022/08/10 16:14:36 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:04:09 time: 0.0626 data_time: 0.0061 memory: 1677 2022/08/10 16:14:38 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:08:30 time: 0.1288 data_time: 0.0739 memory: 1677 2022/08/10 16:14:40 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:04:49 time: 0.0735 data_time: 0.0264 memory: 1677 2022/08/10 16:14:41 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:04:32 time: 0.0694 data_time: 0.0235 memory: 1677 2022/08/10 16:14:42 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:03:09 time: 0.0487 data_time: 0.0019 memory: 1677 2022/08/10 16:14:43 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:03:12 time: 0.0496 data_time: 0.0026 memory: 1677 2022/08/10 16:14:44 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:03:00 time: 0.0468 data_time: 0.0028 memory: 1677 2022/08/10 16:14:45 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:03:09 time: 0.0494 data_time: 0.0027 memory: 1677 2022/08/10 16:14:51 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:18:37 time: 0.2923 data_time: 0.2353 memory: 1704 2022/08/10 16:14:52 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:04:05 time: 0.0647 data_time: 0.0040 memory: 1704 2022/08/10 16:14:54 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:03:55 time: 0.0623 data_time: 0.0035 memory: 1704 2022/08/10 16:14:55 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:04:17 time: 0.0683 data_time: 0.0043 memory: 1774 2022/08/10 16:14:56 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:04:25 time: 0.0710 data_time: 0.0047 memory: 1939 2022/08/10 16:14:58 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:06:32 time: 0.1054 data_time: 0.0353 memory: 1704 2022/08/10 16:15:06 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:22:19 time: 0.3618 data_time: 0.2967 memory: 1704 2022/08/10 16:15:08 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:07:54 time: 0.1289 data_time: 0.0657 memory: 1715 2022/08/10 16:15:10 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:06:33 time: 0.1074 data_time: 0.0487 memory: 1704 2022/08/10 16:15:13 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:08:51 time: 0.1460 data_time: 0.0823 memory: 1704 2022/08/10 16:15:15 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:04:46 time: 0.0790 data_time: 0.0037 memory: 1788 2022/08/10 16:15:17 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:06:23 time: 0.1064 data_time: 0.0054 memory: 1788 2022/08/10 16:15:19 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:04:43 time: 0.0792 data_time: 0.0053 memory: 1788 2022/08/10 16:15:20 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:04:39 time: 0.0783 data_time: 0.0046 memory: 1788 2022/08/10 16:15:23 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:08:16 time: 0.1403 data_time: 0.0677 memory: 1797 2022/08/10 16:15:24 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:04:06 time: 0.0699 data_time: 0.0218 memory: 1677 2022/08/10 16:15:25 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:03:03 time: 0.0524 data_time: 0.0028 memory: 1677 2022/08/10 16:15:27 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:03:15 time: 0.0561 data_time: 0.0049 memory: 1631 2022/08/10 16:15:28 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:03:02 time: 0.0527 data_time: 0.0033 memory: 1677 2022/08/10 16:15:29 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:03:05 time: 0.0539 data_time: 0.0029 memory: 1631 2022/08/10 16:15:34 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:15:54 time: 0.2790 data_time: 0.2189 memory: 1704 2022/08/10 16:15:36 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:03:42 time: 0.0653 data_time: 0.0032 memory: 1704 2022/08/10 16:15:41 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:16:22 time: 0.2904 data_time: 0.2147 memory: 1704 2022/08/10 16:15:43 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:03:32 time: 0.0631 data_time: 0.0040 memory: 1704 2022/08/10 16:15:44 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:04:44 time: 0.0850 data_time: 0.0039 memory: 1688 2022/08/10 16:15:46 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:03:42 time: 0.0671 data_time: 0.0046 memory: 1688 2022/08/10 16:15:47 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:03:58 time: 0.0721 data_time: 0.0054 memory: 1688 2022/08/10 16:15:48 - mmengine - INFO - Epoch(val) [2][3000/6282] eta: 0:03:17 time: 0.0602 data_time: 0.0037 memory: 1688 2022/08/10 16:15:50 - mmengine - INFO - Epoch(val) [2][3020/6282] eta: 0:03:26 time: 0.0632 data_time: 0.0040 memory: 1704 2022/08/10 16:15:51 - mmengine - INFO - Epoch(val) [2][3040/6282] eta: 0:03:29 time: 0.0646 data_time: 0.0039 memory: 1715 2022/08/10 16:15:52 - mmengine - INFO - Epoch(val) [2][3060/6282] eta: 0:03:36 time: 0.0671 data_time: 0.0038 memory: 1774 2022/08/10 16:15:54 - mmengine - INFO - Epoch(val) [2][3080/6282] eta: 0:03:33 time: 0.0666 data_time: 0.0037 memory: 1704 2022/08/10 16:15:55 - mmengine - INFO - Epoch(val) [2][3100/6282] eta: 0:03:12 time: 0.0605 data_time: 0.0033 memory: 1704 2022/08/10 16:16:02 - mmengine - INFO - Epoch(val) [2][3120/6282] eta: 0:19:46 time: 0.3752 data_time: 0.3010 memory: 1677 2022/08/10 16:16:04 - mmengine - INFO - Epoch(val) [2][3140/6282] eta: 0:03:04 time: 0.0587 data_time: 0.0054 memory: 1677 2022/08/10 16:16:05 - mmengine - INFO - Epoch(val) [2][3160/6282] eta: 0:03:56 time: 0.0757 data_time: 0.0228 memory: 1677 2022/08/10 16:16:06 - mmengine - INFO - Epoch(val) [2][3180/6282] eta: 0:02:58 time: 0.0577 data_time: 0.0046 memory: 1677 2022/08/10 16:16:08 - mmengine - INFO - Epoch(val) [2][3200/6282] eta: 0:04:55 time: 0.0959 data_time: 0.0070 memory: 1704 2022/08/10 16:16:10 - mmengine - INFO - Epoch(val) [2][3220/6282] eta: 0:03:37 time: 0.0711 data_time: 0.0065 memory: 1704 2022/08/10 16:16:11 - mmengine - INFO - Epoch(val) [2][3240/6282] eta: 0:03:41 time: 0.0727 data_time: 0.0066 memory: 1704 2022/08/10 16:16:12 - mmengine - INFO - Epoch(val) [2][3260/6282] eta: 0:03:26 time: 0.0685 data_time: 0.0041 memory: 1704 2022/08/10 16:16:14 - mmengine - INFO - Epoch(val) [2][3280/6282] eta: 0:03:14 time: 0.0646 data_time: 0.0031 memory: 1704 2022/08/10 16:16:15 - mmengine - INFO - Epoch(val) [2][3300/6282] eta: 0:03:29 time: 0.0703 data_time: 0.0035 memory: 1695 2022/08/10 16:16:16 - mmengine - INFO - Epoch(val) [2][3320/6282] eta: 0:03:16 time: 0.0665 data_time: 0.0044 memory: 1704 2022/08/10 16:16:18 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:03:21 time: 0.0685 data_time: 0.0038 memory: 1715 2022/08/10 16:16:20 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:04:14 time: 0.0870 data_time: 0.0048 memory: 1704 2022/08/10 16:16:21 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:03:02 time: 0.0629 data_time: 0.0040 memory: 1704 2022/08/10 16:16:22 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:02:47 time: 0.0580 data_time: 0.0037 memory: 1722 2022/08/10 16:16:23 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:02:43 time: 0.0571 data_time: 0.0037 memory: 1677 2022/08/10 16:16:26 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:06:11 time: 0.1307 data_time: 0.0813 memory: 1677 2022/08/10 16:16:27 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:03:29 time: 0.0742 data_time: 0.0130 memory: 1677 2022/08/10 16:16:29 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:03:21 time: 0.0720 data_time: 0.0146 memory: 1722 2022/08/10 16:16:30 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:02:38 time: 0.0569 data_time: 0.0044 memory: 1677 2022/08/10 16:16:31 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:02:24 time: 0.0523 data_time: 0.0043 memory: 1677 2022/08/10 16:16:32 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:02:21 time: 0.0514 data_time: 0.0030 memory: 1677 2022/08/10 16:16:33 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:02:19 time: 0.0512 data_time: 0.0031 memory: 1677 2022/08/10 16:16:34 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:02:20 time: 0.0522 data_time: 0.0031 memory: 1696 2022/08/10 16:16:36 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:03:47 time: 0.0849 data_time: 0.0035 memory: 1696 2022/08/10 16:16:37 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:03:08 time: 0.0709 data_time: 0.0041 memory: 1845 2022/08/10 16:16:38 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:02:43 time: 0.0620 data_time: 0.0035 memory: 1696 2022/08/10 16:16:40 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:02:53 time: 0.0660 data_time: 0.0043 memory: 1696 2022/08/10 16:16:41 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:03:06 time: 0.0718 data_time: 0.0060 memory: 1704 2022/08/10 16:16:42 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:03:02 time: 0.0707 data_time: 0.0052 memory: 1704 2022/08/10 16:16:44 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:04:08 time: 0.0969 data_time: 0.0269 memory: 1704 2022/08/10 16:16:46 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:03:47 time: 0.0897 data_time: 0.0230 memory: 1704 2022/08/10 16:16:48 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:04:51 time: 0.1155 data_time: 0.0263 memory: 1704 2022/08/10 16:16:50 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:03:12 time: 0.0771 data_time: 0.0065 memory: 1704 2022/08/10 16:16:52 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:03:09 time: 0.0763 data_time: 0.0083 memory: 1704 2022/08/10 16:16:53 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:03:32 time: 0.0862 data_time: 0.0216 memory: 1704 2022/08/10 16:16:55 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:03:30 time: 0.0860 data_time: 0.0196 memory: 1704 2022/08/10 16:16:57 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:03:32 time: 0.0879 data_time: 0.0177 memory: 1704 2022/08/10 16:16:59 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:03:35 time: 0.0895 data_time: 0.0246 memory: 1704 2022/08/10 16:17:00 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:03:40 time: 0.0924 data_time: 0.0289 memory: 1704 2022/08/10 16:17:02 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:03:16 time: 0.0832 data_time: 0.0187 memory: 1704 2022/08/10 16:17:04 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:03:18 time: 0.0849 data_time: 0.0217 memory: 1704 2022/08/10 16:17:05 - mmengine - INFO - Epoch(val) [2][3960/6282] eta: 0:03:03 time: 0.0788 data_time: 0.0075 memory: 1715 2022/08/10 16:17:07 - mmengine - INFO - Epoch(val) [2][3980/6282] eta: 0:03:49 time: 0.0995 data_time: 0.0038 memory: 1715 2022/08/10 16:17:09 - mmengine - INFO - Epoch(val) [2][4000/6282] eta: 0:02:33 time: 0.0673 data_time: 0.0042 memory: 1715 2022/08/10 16:17:10 - mmengine - INFO - Epoch(val) [2][4020/6282] eta: 0:02:28 time: 0.0654 data_time: 0.0043 memory: 1704 2022/08/10 16:17:11 - mmengine - INFO - Epoch(val) [2][4040/6282] eta: 0:02:33 time: 0.0685 data_time: 0.0038 memory: 1788 2022/08/10 16:17:13 - mmengine - INFO - Epoch(val) [2][4060/6282] eta: 0:02:57 time: 0.0797 data_time: 0.0043 memory: 1788 2022/08/10 16:17:14 - mmengine - INFO - Epoch(val) [2][4080/6282] eta: 0:02:47 time: 0.0761 data_time: 0.0038 memory: 1788 2022/08/10 16:17:16 - mmengine - INFO - Epoch(val) [2][4100/6282] eta: 0:02:42 time: 0.0744 data_time: 0.0047 memory: 1788 2022/08/10 16:17:18 - mmengine - INFO - Epoch(val) [2][4120/6282] eta: 0:02:52 time: 0.0799 data_time: 0.0050 memory: 1788 2022/08/10 16:17:19 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:02:23 time: 0.0670 data_time: 0.0039 memory: 1788 2022/08/10 16:17:20 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:01:56 time: 0.0551 data_time: 0.0039 memory: 1677 2022/08/10 16:17:21 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:01:57 time: 0.0558 data_time: 0.0053 memory: 1677 2022/08/10 16:17:22 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:02:00 time: 0.0578 data_time: 0.0043 memory: 1677 2022/08/10 16:17:23 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:01:57 time: 0.0571 data_time: 0.0038 memory: 1677 2022/08/10 16:17:25 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:01:55 time: 0.0567 data_time: 0.0041 memory: 1677 2022/08/10 16:17:26 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:01:56 time: 0.0579 data_time: 0.0043 memory: 1677 2022/08/10 16:17:27 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:02:46 time: 0.0833 data_time: 0.0043 memory: 1677 2022/08/10 16:17:29 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:01:49 time: 0.0553 data_time: 0.0044 memory: 1677 2022/08/10 16:17:30 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:01:52 time: 0.0571 data_time: 0.0043 memory: 1677 2022/08/10 16:17:31 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:01:51 time: 0.0573 data_time: 0.0043 memory: 1677 2022/08/10 16:17:32 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:02:02 time: 0.0639 data_time: 0.0037 memory: 1704 2022/08/10 16:17:33 - mmengine - INFO - Epoch(val) [2][4380/6282] eta: 0:01:59 time: 0.0630 data_time: 0.0036 memory: 1704 2022/08/10 16:17:35 - mmengine - INFO - Epoch(val) [2][4400/6282] eta: 0:01:55 time: 0.0615 data_time: 0.0039 memory: 1704 2022/08/10 16:17:36 - mmengine - INFO - Epoch(val) [2][4420/6282] eta: 0:01:54 time: 0.0614 data_time: 0.0046 memory: 1704 2022/08/10 16:17:37 - mmengine - INFO - Epoch(val) [2][4440/6282] eta: 0:02:11 time: 0.0716 data_time: 0.0046 memory: 1707 2022/08/10 16:17:39 - mmengine - INFO - Epoch(val) [2][4460/6282] eta: 0:02:00 time: 0.0663 data_time: 0.0038 memory: 1707 2022/08/10 16:17:40 - mmengine - INFO - Epoch(val) [2][4480/6282] eta: 0:01:57 time: 0.0651 data_time: 0.0046 memory: 1707 2022/08/10 16:17:41 - mmengine - INFO - Epoch(val) [2][4500/6282] eta: 0:01:59 time: 0.0668 data_time: 0.0044 memory: 1707 2022/08/10 16:17:43 - mmengine - INFO - Epoch(val) [2][4520/6282] eta: 0:01:56 time: 0.0664 data_time: 0.0055 memory: 1724 2022/08/10 16:17:44 - mmengine - INFO - Epoch(val) [2][4540/6282] eta: 0:01:39 time: 0.0570 data_time: 0.0045 memory: 1724 2022/08/10 16:17:45 - mmengine - INFO - Epoch(val) [2][4560/6282] eta: 0:01:40 time: 0.0582 data_time: 0.0048 memory: 1679 2022/08/10 16:17:46 - mmengine - INFO - Epoch(val) [2][4580/6282] eta: 0:01:45 time: 0.0619 data_time: 0.0056 memory: 1679 2022/08/10 16:17:48 - mmengine - INFO - Epoch(val) [2][4600/6282] eta: 0:02:21 time: 0.0842 data_time: 0.0033 memory: 1679 2022/08/10 16:17:49 - mmengine - INFO - Epoch(val) [2][4620/6282] eta: 0:01:41 time: 0.0613 data_time: 0.0037 memory: 1679 2022/08/10 16:17:50 - mmengine - INFO - Epoch(val) [2][4640/6282] eta: 0:01:56 time: 0.0712 data_time: 0.0058 memory: 1707 2022/08/10 16:17:52 - mmengine - INFO - Epoch(val) [2][4660/6282] eta: 0:01:52 time: 0.0691 data_time: 0.0043 memory: 1707 2022/08/10 16:17:53 - mmengine - INFO - Epoch(val) [2][4680/6282] eta: 0:01:50 time: 0.0693 data_time: 0.0046 memory: 1707 2022/08/10 16:17:55 - mmengine - INFO - Epoch(val) [2][4700/6282] eta: 0:01:47 time: 0.0677 data_time: 0.0047 memory: 1707 2022/08/10 16:17:56 - mmengine - INFO - Epoch(val) [2][4720/6282] eta: 0:01:42 time: 0.0659 data_time: 0.0039 memory: 1707 2022/08/10 16:17:57 - mmengine - INFO - Epoch(val) [2][4740/6282] eta: 0:01:34 time: 0.0611 data_time: 0.0055 memory: 1688 2022/08/10 16:17:58 - mmengine - INFO - Epoch(val) [2][4760/6282] eta: 0:01:34 time: 0.0618 data_time: 0.0040 memory: 1729 2022/08/10 16:17:59 - mmengine - INFO - Epoch(val) [2][4780/6282] eta: 0:01:25 time: 0.0571 data_time: 0.0039 memory: 1688 2022/08/10 16:18:01 - mmengine - INFO - Epoch(val) [2][4800/6282] eta: 0:01:29 time: 0.0602 data_time: 0.0038 memory: 1688 2022/08/10 16:18:02 - mmengine - INFO - Epoch(val) [2][4820/6282] eta: 0:01:34 time: 0.0647 data_time: 0.0043 memory: 1704 2022/08/10 16:18:03 - mmengine - INFO - Epoch(val) [2][4840/6282] eta: 0:01:39 time: 0.0688 data_time: 0.0044 memory: 1704 2022/08/10 16:18:05 - mmengine - INFO - Epoch(val) [2][4860/6282] eta: 0:01:34 time: 0.0666 data_time: 0.0038 memory: 1704 2022/08/10 16:18:06 - mmengine - INFO - Epoch(val) [2][4880/6282] eta: 0:01:35 time: 0.0682 data_time: 0.0047 memory: 1704 2022/08/10 16:18:08 - mmengine - INFO - Epoch(val) [2][4900/6282] eta: 0:02:08 time: 0.0927 data_time: 0.0055 memory: 1704 2022/08/10 16:18:09 - mmengine - INFO - Epoch(val) [2][4920/6282] eta: 0:01:28 time: 0.0651 data_time: 0.0038 memory: 1704 2022/08/10 16:18:11 - mmengine - INFO - Epoch(val) [2][4940/6282] eta: 0:01:30 time: 0.0677 data_time: 0.0042 memory: 1704 2022/08/10 16:18:12 - mmengine - INFO - Epoch(val) [2][4960/6282] eta: 0:01:35 time: 0.0722 data_time: 0.0041 memory: 1704 2022/08/10 16:18:13 - mmengine - INFO - Epoch(val) [2][4980/6282] eta: 0:01:31 time: 0.0706 data_time: 0.0052 memory: 1704 2022/08/10 16:18:15 - mmengine - INFO - Epoch(val) [2][5000/6282] eta: 0:01:26 time: 0.0677 data_time: 0.0040 memory: 1704 2022/08/10 16:18:16 - mmengine - INFO - Epoch(val) [2][5020/6282] eta: 0:01:18 time: 0.0619 data_time: 0.0042 memory: 1704 2022/08/10 16:18:17 - mmengine - INFO - Epoch(val) [2][5040/6282] eta: 0:01:10 time: 0.0569 data_time: 0.0057 memory: 1677 2022/08/10 16:18:18 - mmengine - INFO - Epoch(val) [2][5060/6282] eta: 0:01:13 time: 0.0603 data_time: 0.0039 memory: 1677 2022/08/10 16:18:20 - mmengine - INFO - Epoch(val) [2][5080/6282] eta: 0:01:13 time: 0.0614 data_time: 0.0045 memory: 1723 2022/08/10 16:18:21 - mmengine - INFO - Epoch(val) [2][5100/6282] eta: 0:01:09 time: 0.0585 data_time: 0.0045 memory: 1677 2022/08/10 16:18:22 - mmengine - INFO - Epoch(val) [2][5120/6282] eta: 0:01:10 time: 0.0605 data_time: 0.0044 memory: 1677 2022/08/10 16:18:23 - mmengine - INFO - Epoch(val) [2][5140/6282] eta: 0:01:03 time: 0.0553 data_time: 0.0060 memory: 1677 2022/08/10 16:18:24 - mmengine - INFO - Epoch(val) [2][5160/6282] eta: 0:01:03 time: 0.0565 data_time: 0.0036 memory: 1677 2022/08/10 16:18:25 - mmengine - INFO - Epoch(val) [2][5180/6282] eta: 0:01:06 time: 0.0599 data_time: 0.0047 memory: 1677 2022/08/10 16:18:27 - mmengine - INFO - Epoch(val) [2][5200/6282] eta: 0:01:03 time: 0.0591 data_time: 0.0040 memory: 1677 2022/08/10 16:18:28 - mmengine - INFO - Epoch(val) [2][5220/6282] eta: 0:01:29 time: 0.0847 data_time: 0.0044 memory: 1677 2022/08/10 16:18:30 - mmengine - INFO - Epoch(val) [2][5240/6282] eta: 0:01:04 time: 0.0619 data_time: 0.0036 memory: 1773 2022/08/10 16:18:31 - mmengine - INFO - Epoch(val) [2][5260/6282] eta: 0:01:00 time: 0.0596 data_time: 0.0043 memory: 1677 2022/08/10 16:18:32 - mmengine - INFO - Epoch(val) [2][5280/6282] eta: 0:01:00 time: 0.0600 data_time: 0.0035 memory: 1697 2022/08/10 16:18:33 - mmengine - INFO - Epoch(val) [2][5300/6282] eta: 0:00:56 time: 0.0580 data_time: 0.0036 memory: 1677 2022/08/10 16:18:34 - mmengine - INFO - Epoch(val) [2][5320/6282] eta: 0:00:55 time: 0.0574 data_time: 0.0045 memory: 1677 2022/08/10 16:18:35 - mmengine - INFO - Epoch(val) [2][5340/6282] eta: 0:00:54 time: 0.0577 data_time: 0.0035 memory: 1677 2022/08/10 16:18:37 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:00:53 time: 0.0575 data_time: 0.0055 memory: 1677 2022/08/10 16:18:38 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:00:59 time: 0.0660 data_time: 0.0062 memory: 1747 2022/08/10 16:18:39 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:00:51 time: 0.0581 data_time: 0.0044 memory: 1677 2022/08/10 16:18:40 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:00:47 time: 0.0551 data_time: 0.0038 memory: 1677 2022/08/10 16:18:41 - mmengine - INFO - Epoch(val) [2][5440/6282] eta: 0:00:46 time: 0.0549 data_time: 0.0033 memory: 1677 2022/08/10 16:18:42 - mmengine - INFO - Epoch(val) [2][5460/6282] eta: 0:00:44 time: 0.0547 data_time: 0.0049 memory: 1677 2022/08/10 16:18:44 - mmengine - INFO - Epoch(val) [2][5480/6282] eta: 0:00:45 time: 0.0568 data_time: 0.0037 memory: 1677 2022/08/10 16:18:45 - mmengine - INFO - Epoch(val) [2][5500/6282] eta: 0:00:44 time: 0.0565 data_time: 0.0037 memory: 1677 2022/08/10 16:18:46 - mmengine - INFO - Epoch(val) [2][5520/6282] eta: 0:00:48 time: 0.0636 data_time: 0.0041 memory: 1686 2022/08/10 16:18:47 - mmengine - INFO - Epoch(val) [2][5540/6282] eta: 0:00:48 time: 0.0655 data_time: 0.0057 memory: 1686 2022/08/10 16:18:48 - mmengine - INFO - Epoch(val) [2][5560/6282] eta: 0:00:44 time: 0.0618 data_time: 0.0042 memory: 1686 2022/08/10 16:18:50 - mmengine - INFO - Epoch(val) [2][5580/6282] eta: 0:00:42 time: 0.0604 data_time: 0.0049 memory: 1686 2022/08/10 16:18:51 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:00:42 time: 0.0628 data_time: 0.0047 memory: 1686 2022/08/10 16:18:52 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:00:38 time: 0.0588 data_time: 0.0044 memory: 1686 2022/08/10 16:18:53 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:38 time: 0.0602 data_time: 0.0049 memory: 1677 2022/08/10 16:18:55 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:37 time: 0.0595 data_time: 0.0057 memory: 1677 2022/08/10 16:18:56 - mmengine - INFO - Epoch(val) [2][5680/6282] eta: 0:00:34 time: 0.0575 data_time: 0.0035 memory: 1677 2022/08/10 16:18:57 - mmengine - INFO - Epoch(val) [2][5700/6282] eta: 0:00:32 time: 0.0551 data_time: 0.0049 memory: 1677 2022/08/10 16:18:58 - mmengine - INFO - Epoch(val) [2][5720/6282] eta: 0:00:40 time: 0.0719 data_time: 0.0035 memory: 1692 2022/08/10 16:18:59 - mmengine - INFO - Epoch(val) [2][5740/6282] eta: 0:00:32 time: 0.0605 data_time: 0.0044 memory: 1692 2022/08/10 16:19:01 - mmengine - INFO - Epoch(val) [2][5760/6282] eta: 0:00:32 time: 0.0617 data_time: 0.0043 memory: 1692 2022/08/10 16:19:02 - mmengine - INFO - Epoch(val) [2][5780/6282] eta: 0:00:30 time: 0.0613 data_time: 0.0035 memory: 1740 2022/08/10 16:19:03 - mmengine - INFO - Epoch(val) [2][5800/6282] eta: 0:00:31 time: 0.0648 data_time: 0.0054 memory: 1692 2022/08/10 16:19:04 - mmengine - INFO - Epoch(val) [2][5820/6282] eta: 0:00:30 time: 0.0654 data_time: 0.0046 memory: 1692 2022/08/10 16:19:06 - mmengine - INFO - Epoch(val) [2][5840/6282] eta: 0:00:27 time: 0.0620 data_time: 0.0045 memory: 1686 2022/08/10 16:19:07 - mmengine - INFO - Epoch(val) [2][5860/6282] eta: 0:00:26 time: 0.0635 data_time: 0.0077 memory: 1686 2022/08/10 16:19:09 - mmengine - INFO - Epoch(val) [2][5880/6282] eta: 0:00:37 time: 0.0932 data_time: 0.0197 memory: 1686 2022/08/10 16:19:10 - mmengine - INFO - Epoch(val) [2][5900/6282] eta: 0:00:29 time: 0.0770 data_time: 0.0251 memory: 1686 2022/08/10 16:19:12 - mmengine - INFO - Epoch(val) [2][5920/6282] eta: 0:00:24 time: 0.0672 data_time: 0.0179 memory: 1686 2022/08/10 16:19:13 - mmengine - INFO - Epoch(val) [2][5940/6282] eta: 0:00:25 time: 0.0733 data_time: 0.0234 memory: 1677 2022/08/10 16:19:14 - mmengine - INFO - Epoch(val) [2][5960/6282] eta: 0:00:17 time: 0.0530 data_time: 0.0027 memory: 1677 2022/08/10 16:19:15 - mmengine - INFO - Epoch(val) [2][5980/6282] eta: 0:00:16 time: 0.0537 data_time: 0.0038 memory: 1677 2022/08/10 16:19:17 - mmengine - INFO - Epoch(val) [2][6000/6282] eta: 0:00:18 time: 0.0654 data_time: 0.0050 memory: 1704 2022/08/10 16:19:18 - mmengine - INFO - Epoch(val) [2][6020/6282] eta: 0:00:17 time: 0.0675 data_time: 0.0037 memory: 1704 2022/08/10 16:19:19 - mmengine - INFO - Epoch(val) [2][6040/6282] eta: 0:00:15 time: 0.0652 data_time: 0.0039 memory: 1704 2022/08/10 16:19:21 - mmengine - INFO - Epoch(val) [2][6060/6282] eta: 0:00:14 time: 0.0668 data_time: 0.0044 memory: 1715 2022/08/10 16:19:22 - mmengine - INFO - Epoch(val) [2][6080/6282] eta: 0:00:14 time: 0.0740 data_time: 0.0046 memory: 1715 2022/08/10 16:19:24 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:13 time: 0.0720 data_time: 0.0057 memory: 1873 2022/08/10 16:19:25 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:12 time: 0.0796 data_time: 0.0083 memory: 1704 2022/08/10 16:19:27 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:11 time: 0.0815 data_time: 0.0052 memory: 1840 2022/08/10 16:19:28 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:09 time: 0.0785 data_time: 0.0043 memory: 1840 2022/08/10 16:19:30 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:07 time: 0.0740 data_time: 0.0052 memory: 1704 2022/08/10 16:19:31 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:05 time: 0.0627 data_time: 0.0037 memory: 1704 2022/08/10 16:19:34 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:07 time: 0.1246 data_time: 0.0669 memory: 1704 2022/08/10 16:19:35 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:02 time: 0.0674 data_time: 0.0108 memory: 1704 2022/08/10 16:19:37 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:02 time: 0.0911 data_time: 0.0347 memory: 1704 2022/08/10 16:19:39 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.0921 data_time: 0.0023 memory: 1704 2022/08/10 16:24:42 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2458 2022/08/10 16:24:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2022/08/10 16:24:49 - mmengine - INFO - The best checkpoint with 0.2458 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2022/08/10 16:25:05 - mmengine - INFO - Epoch(train) [3][20/2881] lr: 1.0000e-01 eta: 4:50:59 time: 0.7804 data_time: 0.1184 memory: 15261 grad_norm: 0.2737 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.6795 recall@top3: 0.7731 prec@top3: 0.6923 recall@top5: 0.9513 prec@top5: 0.5231 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:25:19 - mmengine - INFO - Epoch(train) [3][40/2881] lr: 9.9999e-02 eta: 4:50:40 time: 0.7138 data_time: 0.0243 memory: 15223 grad_norm: 0.2656 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.6856 recall@top3: 0.8144 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4455 loss_action_cls: 0.0466 loss: 0.0466 2022/08/10 16:25:33 - mmengine - INFO - Epoch(train) [3][60/2881] lr: 9.9998e-02 eta: 4:50:21 time: 0.7092 data_time: 0.0223 memory: 15242 grad_norm: 0.2540 recall@thr=0.5: 0.7894 prec@thr=0.5: 0.8472 recall@top3: 0.8022 prec@top3: 0.7778 recall@top5: 0.9850 prec@top5: 0.5867 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 16:25:47 - mmengine - INFO - Epoch(train) [3][80/2881] lr: 9.9997e-02 eta: 4:50:01 time: 0.6970 data_time: 0.0211 memory: 15376 grad_norm: 0.2524 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.6852 recall@top3: 0.7346 prec@top3: 0.5309 recall@top5: 0.9630 prec@top5: 0.4296 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 16:26:01 - mmengine - INFO - Epoch(train) [3][100/2881] lr: 9.9995e-02 eta: 4:49:43 time: 0.7183 data_time: 0.0292 memory: 15433 grad_norm: 0.2433 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6667 recall@top3: 0.6833 prec@top3: 0.6000 recall@top5: 0.9083 prec@top5: 0.4800 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 16:26:15 - mmengine - INFO - Epoch(train) [3][120/2881] lr: 9.9993e-02 eta: 4:49:22 time: 0.6775 data_time: 0.0217 memory: 15376 grad_norm: 0.2474 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8406 recall@top3: 0.8125 prec@top3: 0.6458 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:26:30 - mmengine - INFO - Epoch(train) [3][140/2881] lr: 9.9991e-02 eta: 4:49:04 time: 0.7233 data_time: 0.0248 memory: 15395 grad_norm: 0.2666 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6917 recall@top3: 0.7750 prec@top3: 0.7167 recall@top5: 0.8625 prec@top5: 0.4900 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 16:26:43 - mmengine - INFO - Epoch(train) [3][160/2881] lr: 9.9988e-02 eta: 4:48:43 time: 0.6802 data_time: 0.0229 memory: 15395 grad_norm: 0.2954 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.7639 prec@top3: 0.7500 recall@top5: 0.8889 prec@top5: 0.5250 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 16:26:57 - mmengine - INFO - Epoch(train) [3][180/2881] lr: 9.9985e-02 eta: 4:48:23 time: 0.6963 data_time: 0.0205 memory: 15414 grad_norm: 0.2885 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7365 recall@top3: 0.8095 prec@top3: 0.7143 recall@top5: 0.9444 prec@top5: 0.5143 loss_action_cls: 0.0478 loss: 0.0478 2022/08/10 16:27:11 - mmengine - INFO - Epoch(train) [3][200/2881] lr: 9.9982e-02 eta: 4:48:04 time: 0.7087 data_time: 0.0266 memory: 15376 grad_norm: 0.2613 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6500 recall@top3: 0.7328 prec@top3: 0.6111 recall@top5: 0.8839 prec@top5: 0.4600 loss_action_cls: 0.0499 loss: 0.0499 2022/08/10 16:27:25 - mmengine - INFO - Epoch(train) [3][220/2881] lr: 9.9978e-02 eta: 4:47:45 time: 0.6997 data_time: 0.0225 memory: 15452 grad_norm: 0.2630 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8070 recall@top3: 0.8772 prec@top3: 0.5789 recall@top5: 0.9825 prec@top5: 0.3895 loss_action_cls: 0.0462 loss: 0.0462 2022/08/10 16:27:37 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 16:27:39 - mmengine - INFO - Epoch(train) [3][240/2881] lr: 9.9973e-02 eta: 4:47:24 time: 0.6787 data_time: 0.0221 memory: 15300 grad_norm: 0.2360 recall@thr=0.5: 0.6967 prec@thr=0.5: 0.7547 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9567 prec@top5: 0.5120 loss_action_cls: 0.0422 loss: 0.0422 2022/08/10 16:27:52 - mmengine - INFO - Epoch(train) [3][260/2881] lr: 9.9969e-02 eta: 4:47:02 time: 0.6616 data_time: 0.0223 memory: 15414 grad_norm: 0.2359 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6095 recall@top3: 0.6952 prec@top3: 0.5429 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 16:28:06 - mmengine - INFO - Epoch(train) [3][280/2881] lr: 9.9964e-02 eta: 4:46:43 time: 0.7050 data_time: 0.0212 memory: 15395 grad_norm: 0.2453 recall@thr=0.5: 0.6936 prec@thr=0.5: 0.7652 recall@top3: 0.7108 prec@top3: 0.5686 recall@top5: 0.9069 prec@top5: 0.4588 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 16:28:20 - mmengine - INFO - Epoch(train) [3][300/2881] lr: 9.9958e-02 eta: 4:46:21 time: 0.6706 data_time: 0.0233 memory: 15184 grad_norm: 0.2628 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.6871 recall@top3: 0.7045 prec@top3: 0.6667 recall@top5: 0.8864 prec@top5: 0.5182 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 16:28:33 - mmengine - INFO - Epoch(train) [3][320/2881] lr: 9.9953e-02 eta: 4:45:59 time: 0.6560 data_time: 0.0222 memory: 15395 grad_norm: 0.2947 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8889 recall@top3: 0.7857 prec@top3: 0.7460 recall@top5: 0.8810 prec@top5: 0.5143 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 16:28:46 - mmengine - INFO - Epoch(train) [3][340/2881] lr: 9.9947e-02 eta: 4:45:38 time: 0.6869 data_time: 0.0202 memory: 15261 grad_norm: 0.3016 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7000 recall@top3: 0.8167 prec@top3: 0.7000 recall@top5: 0.8917 prec@top5: 0.4700 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 16:29:01 - mmengine - INFO - Epoch(train) [3][360/2881] lr: 9.9940e-02 eta: 4:45:20 time: 0.7089 data_time: 0.0265 memory: 15529 grad_norm: 0.2624 recall@thr=0.5: 0.6785 prec@thr=0.5: 0.7639 recall@top3: 0.8174 prec@top3: 0.7222 recall@top5: 0.9792 prec@top5: 0.5417 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 16:29:17 - mmengine - INFO - Epoch(train) [3][380/2881] lr: 9.9933e-02 eta: 4:45:11 time: 0.8433 data_time: 0.0239 memory: 15242 grad_norm: 0.2421 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8947 recall@top3: 0.8860 prec@top3: 0.5439 recall@top5: 0.9737 prec@top5: 0.3684 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 16:29:31 - mmengine - INFO - Epoch(train) [3][400/2881] lr: 9.9926e-02 eta: 4:44:52 time: 0.6922 data_time: 0.0235 memory: 15242 grad_norm: 0.2239 recall@thr=0.5: 0.6264 prec@thr=0.5: 0.7187 recall@top3: 0.7514 prec@top3: 0.6528 recall@top5: 0.8833 prec@top5: 0.4583 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 16:29:45 - mmengine - INFO - Epoch(train) [3][420/2881] lr: 9.9918e-02 eta: 4:44:32 time: 0.6925 data_time: 0.0217 memory: 15318 grad_norm: 0.2316 recall@thr=0.5: 0.7933 prec@thr=0.5: 0.7500 recall@top3: 0.8433 prec@top3: 0.7000 recall@top5: 0.9100 prec@top5: 0.4600 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 16:29:59 - mmengine - INFO - Epoch(train) [3][440/2881] lr: 9.9911e-02 eta: 4:44:12 time: 0.6828 data_time: 0.0232 memory: 15491 grad_norm: 0.2271 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8258 recall@top3: 0.7955 prec@top3: 0.6212 recall@top5: 0.9091 prec@top5: 0.4455 loss_action_cls: 0.0461 loss: 0.0461 2022/08/10 16:30:13 - mmengine - INFO - Epoch(train) [3][460/2881] lr: 9.9902e-02 eta: 4:43:52 time: 0.6885 data_time: 0.0230 memory: 15338 grad_norm: 0.2668 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.6491 recall@top3: 0.8728 prec@top3: 0.6491 recall@top5: 0.9868 prec@top5: 0.4526 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 16:30:27 - mmengine - INFO - Epoch(train) [3][480/2881] lr: 9.9893e-02 eta: 4:43:35 time: 0.7262 data_time: 0.0233 memory: 15491 grad_norm: 0.2548 recall@thr=0.5: 0.6913 prec@thr=0.5: 0.7133 recall@top3: 0.7180 prec@top3: 0.6267 recall@top5: 0.8307 prec@top5: 0.4480 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 16:30:41 - mmengine - INFO - Epoch(train) [3][500/2881] lr: 9.9884e-02 eta: 4:43:16 time: 0.6953 data_time: 0.0233 memory: 15433 grad_norm: 0.2420 recall@thr=0.5: 0.7213 prec@thr=0.5: 0.7040 recall@top3: 0.7902 prec@top3: 0.5977 recall@top5: 0.9397 prec@top5: 0.4345 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 16:30:55 - mmengine - INFO - Epoch(train) [3][520/2881] lr: 9.9875e-02 eta: 4:42:56 time: 0.6859 data_time: 0.0231 memory: 15510 grad_norm: 0.2854 recall@thr=0.5: 0.6788 prec@thr=0.5: 0.5871 recall@top3: 0.7303 prec@top3: 0.5455 recall@top5: 0.9758 prec@top5: 0.4545 loss_action_cls: 0.0489 loss: 0.0489 2022/08/10 16:31:08 - mmengine - INFO - Epoch(train) [3][540/2881] lr: 9.9865e-02 eta: 4:42:35 time: 0.6762 data_time: 0.0228 memory: 15357 grad_norm: 0.2500 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.8167 recall@top3: 0.8083 prec@top3: 0.5500 recall@top5: 0.9208 prec@top5: 0.3900 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 16:31:22 - mmengine - INFO - Epoch(train) [3][560/2881] lr: 9.9855e-02 eta: 4:42:16 time: 0.6994 data_time: 0.0235 memory: 15433 grad_norm: 0.2316 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.6159 recall@top3: 0.8188 prec@top3: 0.6087 recall@top5: 0.9783 prec@top5: 0.4348 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 16:31:36 - mmengine - INFO - Epoch(train) [3][580/2881] lr: 9.9844e-02 eta: 4:41:55 time: 0.6693 data_time: 0.0216 memory: 15318 grad_norm: 0.2370 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.9583 recall@top3: 0.9528 prec@top3: 0.6528 recall@top5: 0.9750 prec@top5: 0.4083 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 16:31:49 - mmengine - INFO - Epoch(train) [3][600/2881] lr: 9.9833e-02 eta: 4:41:36 time: 0.6948 data_time: 0.0244 memory: 15280 grad_norm: 0.2172 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.6410 recall@top3: 0.6538 prec@top3: 0.3846 recall@top5: 0.9103 prec@top5: 0.3231 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 16:32:03 - mmengine - INFO - Epoch(train) [3][620/2881] lr: 9.9822e-02 eta: 4:41:17 time: 0.6923 data_time: 0.0226 memory: 15165 grad_norm: 0.2517 recall@thr=0.5: 0.8588 prec@thr=0.5: 0.8137 recall@top3: 0.8882 prec@top3: 0.6275 recall@top5: 0.9000 prec@top5: 0.3882 loss_action_cls: 0.0452 loss: 0.0452 2022/08/10 16:32:17 - mmengine - INFO - Epoch(train) [3][640/2881] lr: 9.9810e-02 eta: 4:40:57 time: 0.6855 data_time: 0.0228 memory: 15338 grad_norm: 0.2448 recall@thr=0.5: 0.4909 prec@thr=0.5: 0.7424 recall@top3: 0.7515 prec@top3: 0.6061 recall@top5: 0.9818 prec@top5: 0.4818 loss_action_cls: 0.0473 loss: 0.0473 2022/08/10 16:32:32 - mmengine - INFO - Epoch(train) [3][660/2881] lr: 9.9798e-02 eta: 4:40:41 time: 0.7358 data_time: 0.0290 memory: 15395 grad_norm: 0.2745 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.7281 recall@top3: 0.6623 prec@top3: 0.5965 recall@top5: 0.9123 prec@top5: 0.4737 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 16:32:46 - mmengine - INFO - Epoch(train) [3][680/2881] lr: 9.9786e-02 eta: 4:40:21 time: 0.6879 data_time: 0.0219 memory: 15491 grad_norm: 0.2325 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.8333 recall@top3: 0.7333 prec@top3: 0.6889 recall@top5: 0.8444 prec@top5: 0.4933 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 16:33:00 - mmengine - INFO - Epoch(train) [3][700/2881] lr: 9.9773e-02 eta: 4:40:04 time: 0.7165 data_time: 0.0264 memory: 15414 grad_norm: 0.2332 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.9250 recall@top3: 0.9250 prec@top3: 0.7833 recall@top5: 0.9667 prec@top5: 0.5000 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 16:33:14 - mmengine - INFO - Epoch(train) [3][720/2881] lr: 9.9760e-02 eta: 4:39:45 time: 0.7016 data_time: 0.0256 memory: 15357 grad_norm: 0.2305 recall@thr=0.5: 0.7038 prec@thr=0.5: 0.8154 recall@top3: 0.7179 prec@top3: 0.7564 recall@top5: 0.9205 prec@top5: 0.5769 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 16:33:28 - mmengine - INFO - Epoch(train) [3][740/2881] lr: 9.9747e-02 eta: 4:39:25 time: 0.6807 data_time: 0.0239 memory: 15261 grad_norm: 0.2317 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.6439 recall@top3: 0.7742 prec@top3: 0.5152 recall@top5: 0.8606 prec@top5: 0.3636 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 16:33:41 - mmengine - INFO - Epoch(train) [3][760/2881] lr: 9.9733e-02 eta: 4:39:06 time: 0.6869 data_time: 0.0225 memory: 15318 grad_norm: 0.2303 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.7200 recall@top3: 0.8167 prec@top3: 0.6133 recall@top5: 0.9000 prec@top5: 0.4240 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 16:33:55 - mmengine - INFO - Epoch(train) [3][780/2881] lr: 9.9718e-02 eta: 4:38:47 time: 0.6910 data_time: 0.0248 memory: 15300 grad_norm: 0.2354 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7667 recall@top3: 0.7680 prec@top3: 0.7333 recall@top5: 0.9073 prec@top5: 0.5360 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 16:34:09 - mmengine - INFO - Epoch(train) [3][800/2881] lr: 9.9704e-02 eta: 4:38:27 time: 0.6781 data_time: 0.0222 memory: 15357 grad_norm: 0.2560 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7167 recall@top3: 0.7667 prec@top3: 0.5000 recall@top5: 0.9333 prec@top5: 0.3600 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 16:34:23 - mmengine - INFO - Epoch(train) [3][820/2881] lr: 9.9689e-02 eta: 4:38:09 time: 0.7142 data_time: 0.0264 memory: 15338 grad_norm: 0.2617 recall@thr=0.5: 0.7146 prec@thr=0.5: 0.8232 recall@top3: 0.8005 prec@top3: 0.7071 recall@top5: 0.9495 prec@top5: 0.5091 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 16:34:37 - mmengine - INFO - Epoch(train) [3][840/2881] lr: 9.9673e-02 eta: 4:37:50 time: 0.6828 data_time: 0.0212 memory: 15567 grad_norm: 0.2282 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.7197 recall@top3: 0.7576 prec@top3: 0.6515 recall@top5: 0.9091 prec@top5: 0.4455 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 16:34:50 - mmengine - INFO - Epoch(train) [3][860/2881] lr: 9.9658e-02 eta: 4:37:31 time: 0.6951 data_time: 0.0215 memory: 15472 grad_norm: 0.2489 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.6842 recall@top3: 0.7939 prec@top3: 0.6491 recall@top5: 0.9254 prec@top5: 0.4526 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 16:35:04 - mmengine - INFO - Epoch(train) [3][880/2881] lr: 9.9642e-02 eta: 4:37:12 time: 0.6936 data_time: 0.0248 memory: 15318 grad_norm: 0.3224 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.7348 recall@top3: 0.6856 prec@top3: 0.6212 recall@top5: 0.7879 prec@top5: 0.4364 loss_action_cls: 0.0463 loss: 0.0463 2022/08/10 16:35:19 - mmengine - INFO - Epoch(train) [3][900/2881] lr: 9.9625e-02 eta: 4:36:54 time: 0.7116 data_time: 0.0227 memory: 15414 grad_norm: 0.2292 recall@thr=0.5: 0.4318 prec@thr=0.5: 0.7273 recall@top3: 0.7424 prec@top3: 0.6818 recall@top5: 0.8864 prec@top5: 0.5000 loss_action_cls: 0.0480 loss: 0.0480 2022/08/10 16:35:33 - mmengine - INFO - Epoch(train) [3][920/2881] lr: 9.9608e-02 eta: 4:36:37 time: 0.7101 data_time: 0.0234 memory: 15395 grad_norm: 0.2406 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.6067 recall@top3: 0.6778 prec@top3: 0.6222 recall@top5: 0.9444 prec@top5: 0.5200 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 16:35:47 - mmengine - INFO - Epoch(train) [3][940/2881] lr: 9.9591e-02 eta: 4:36:18 time: 0.6904 data_time: 0.0222 memory: 15510 grad_norm: 0.2561 recall@thr=0.5: 0.8049 prec@thr=0.5: 0.6618 recall@top3: 0.8245 prec@top3: 0.4902 recall@top5: 0.9000 prec@top5: 0.3412 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 16:36:00 - mmengine - INFO - Epoch(train) [3][960/2881] lr: 9.9573e-02 eta: 4:35:59 time: 0.6832 data_time: 0.0233 memory: 15376 grad_norm: 0.2278 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8636 recall@top3: 0.8939 prec@top3: 0.7727 recall@top5: 0.9773 prec@top5: 0.5182 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 16:36:13 - mmengine - INFO - Epoch(train) [3][980/2881] lr: 9.9555e-02 eta: 4:35:38 time: 0.6603 data_time: 0.0222 memory: 15338 grad_norm: 0.2236 recall@thr=0.5: 0.7758 prec@thr=0.5: 0.8523 recall@top3: 0.7742 prec@top3: 0.7273 recall@top5: 0.9212 prec@top5: 0.5364 loss_action_cls: 0.0454 loss: 0.0454 2022/08/10 16:36:27 - mmengine - INFO - Epoch(train) [3][1000/2881] lr: 9.9537e-02 eta: 4:35:18 time: 0.6755 data_time: 0.0239 memory: 15300 grad_norm: 0.2427 recall@thr=0.5: 0.4928 prec@thr=0.5: 0.6232 recall@top3: 0.7029 prec@top3: 0.4638 recall@top5: 0.7826 prec@top5: 0.3130 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 16:36:41 - mmengine - INFO - Epoch(train) [3][1020/2881] lr: 9.9518e-02 eta: 4:34:59 time: 0.6869 data_time: 0.0227 memory: 15338 grad_norm: 0.2407 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.6174 recall@top3: 0.7879 prec@top3: 0.6061 recall@top5: 0.8712 prec@top5: 0.4273 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 16:36:54 - mmengine - INFO - Epoch(train) [3][1040/2881] lr: 9.9499e-02 eta: 4:34:39 time: 0.6817 data_time: 0.0217 memory: 15318 grad_norm: 0.2692 recall@thr=0.5: 0.7030 prec@thr=0.5: 0.7182 recall@top3: 0.7508 prec@top3: 0.7121 recall@top5: 0.8394 prec@top5: 0.4727 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 16:37:08 - mmengine - INFO - Epoch(train) [3][1060/2881] lr: 9.9480e-02 eta: 4:34:21 time: 0.7021 data_time: 0.0202 memory: 15510 grad_norm: 0.2413 recall@thr=0.5: 0.5361 prec@thr=0.5: 0.7083 recall@top3: 0.6958 prec@top3: 0.6250 recall@top5: 0.8667 prec@top5: 0.4833 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 16:37:23 - mmengine - INFO - Epoch(train) [3][1080/2881] lr: 9.9460e-02 eta: 4:34:05 time: 0.7245 data_time: 0.0238 memory: 15242 grad_norm: 0.2544 recall@thr=0.5: 0.8341 prec@thr=0.5: 0.9127 recall@top3: 0.8857 prec@top3: 0.8254 recall@top5: 0.9762 prec@top5: 0.5619 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 16:37:37 - mmengine - INFO - Epoch(train) [3][1100/2881] lr: 9.9440e-02 eta: 4:33:46 time: 0.6900 data_time: 0.0239 memory: 15261 grad_norm: 0.2323 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.8125 recall@top3: 0.8160 prec@top3: 0.7361 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:37:51 - mmengine - INFO - Epoch(train) [3][1120/2881] lr: 9.9420e-02 eta: 4:33:30 time: 0.7247 data_time: 0.0217 memory: 15644 grad_norm: 0.2182 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6984 recall@top3: 0.8056 prec@top3: 0.5556 recall@top5: 0.9127 prec@top5: 0.3810 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 16:38:04 - mmengine - INFO - Epoch(train) [3][1140/2881] lr: 9.9399e-02 eta: 4:33:09 time: 0.6573 data_time: 0.0245 memory: 15280 grad_norm: 0.2435 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.5750 recall@top3: 0.6167 prec@top3: 0.5500 recall@top5: 0.8733 prec@top5: 0.4800 loss_action_cls: 0.0487 loss: 0.0487 2022/08/10 16:38:18 - mmengine - INFO - Epoch(train) [3][1160/2881] lr: 9.9377e-02 eta: 4:32:50 time: 0.6877 data_time: 0.0235 memory: 15280 grad_norm: 0.2829 recall@thr=0.5: 0.5442 prec@thr=0.5: 0.7821 recall@top3: 0.6500 prec@top3: 0.6282 recall@top5: 0.8699 prec@top5: 0.5154 loss_action_cls: 0.0481 loss: 0.0481 2022/08/10 16:38:33 - mmengine - INFO - Epoch(train) [3][1180/2881] lr: 9.9356e-02 eta: 4:32:34 time: 0.7287 data_time: 0.0249 memory: 15318 grad_norm: 0.2586 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7778 recall@top3: 0.8704 prec@top3: 0.5370 recall@top5: 0.9815 prec@top5: 0.3667 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 16:38:46 - mmengine - INFO - Epoch(train) [3][1200/2881] lr: 9.9334e-02 eta: 4:32:15 time: 0.6860 data_time: 0.0234 memory: 15242 grad_norm: 0.2404 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.7500 recall@top3: 0.6912 prec@top3: 0.6471 recall@top5: 0.8137 prec@top5: 0.4706 loss_action_cls: 0.0444 loss: 0.0444 2022/08/10 16:39:00 - mmengine - INFO - Epoch(train) [3][1220/2881] lr: 9.9311e-02 eta: 4:31:57 time: 0.7004 data_time: 0.0233 memory: 15318 grad_norm: 0.2339 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.8056 recall@top3: 0.7685 prec@top3: 0.6296 recall@top5: 0.8796 prec@top5: 0.4444 loss_action_cls: 0.0445 loss: 0.0445 2022/08/10 16:39:13 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 16:39:14 - mmengine - INFO - Epoch(train) [3][1240/2881] lr: 9.9289e-02 eta: 4:31:38 time: 0.6719 data_time: 0.0263 memory: 15318 grad_norm: 0.2421 recall@thr=0.5: 0.6207 prec@thr=0.5: 0.6322 recall@top3: 0.9655 prec@top3: 0.7471 recall@top5: 1.0000 prec@top5: 0.4690 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 16:39:30 - mmengine - INFO - Epoch(train) [3][1260/2881] lr: 9.9266e-02 eta: 4:31:26 time: 0.8051 data_time: 0.0212 memory: 15606 grad_norm: 0.2197 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.7281 recall@top3: 0.8070 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4947 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 16:39:44 - mmengine - INFO - Epoch(train) [3][1280/2881] lr: 9.9242e-02 eta: 4:31:08 time: 0.6866 data_time: 0.0223 memory: 15414 grad_norm: 0.2263 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6759 recall@top3: 0.7901 prec@top3: 0.7160 recall@top5: 0.8519 prec@top5: 0.4667 loss_action_cls: 0.0443 loss: 0.0443 2022/08/10 16:39:58 - mmengine - INFO - Epoch(train) [3][1300/2881] lr: 9.9218e-02 eta: 4:30:51 time: 0.7139 data_time: 0.0214 memory: 15414 grad_norm: 0.2326 recall@thr=0.5: 0.7123 prec@thr=0.5: 0.7222 recall@top3: 0.7895 prec@top3: 0.7037 recall@top5: 0.8821 prec@top5: 0.4815 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 16:40:12 - mmengine - INFO - Epoch(train) [3][1320/2881] lr: 9.9194e-02 eta: 4:30:33 time: 0.7037 data_time: 0.0225 memory: 15548 grad_norm: 0.2467 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8182 recall@top3: 0.8220 prec@top3: 0.6061 recall@top5: 0.9470 prec@top5: 0.4364 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 16:40:26 - mmengine - INFO - Epoch(train) [3][1340/2881] lr: 9.9170e-02 eta: 4:30:14 time: 0.6895 data_time: 0.0224 memory: 15414 grad_norm: 0.2294 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7273 recall@top3: 0.7071 prec@top3: 0.6061 recall@top5: 0.8965 prec@top5: 0.4606 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 16:40:40 - mmengine - INFO - Epoch(train) [3][1360/2881] lr: 9.9145e-02 eta: 4:29:57 time: 0.7006 data_time: 0.0223 memory: 15242 grad_norm: 0.2168 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.7654 recall@top3: 0.8272 prec@top3: 0.7160 recall@top5: 0.9198 prec@top5: 0.4889 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 16:40:53 - mmengine - INFO - Epoch(train) [3][1380/2881] lr: 9.9119e-02 eta: 4:29:37 time: 0.6631 data_time: 0.0278 memory: 15567 grad_norm: 0.2432 recall@thr=0.5: 0.5868 prec@thr=0.5: 0.8542 recall@top3: 0.7847 prec@top3: 0.7222 recall@top5: 0.9097 prec@top5: 0.5250 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 16:41:08 - mmengine - INFO - Epoch(train) [3][1400/2881] lr: 9.9094e-02 eta: 4:29:22 time: 0.7440 data_time: 0.0226 memory: 15357 grad_norm: 0.2650 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.9333 recall@top3: 0.8193 prec@top3: 0.8667 recall@top5: 0.9507 prec@top5: 0.6160 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 16:41:23 - mmengine - INFO - Epoch(train) [3][1420/2881] lr: 9.9068e-02 eta: 4:29:06 time: 0.7412 data_time: 0.0229 memory: 15318 grad_norm: 0.2529 recall@thr=0.5: 0.8006 prec@thr=0.5: 0.9077 recall@top3: 0.9256 prec@top3: 0.7381 recall@top5: 0.9732 prec@top5: 0.4786 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 16:41:36 - mmengine - INFO - Epoch(train) [3][1440/2881] lr: 9.9041e-02 eta: 4:28:48 time: 0.6840 data_time: 0.0230 memory: 15318 grad_norm: 0.2448 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7803 recall@top3: 0.7273 prec@top3: 0.6515 recall@top5: 0.9015 prec@top5: 0.5000 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 16:41:50 - mmengine - INFO - Epoch(train) [3][1460/2881] lr: 9.9015e-02 eta: 4:28:29 time: 0.6830 data_time: 0.0229 memory: 15338 grad_norm: 0.2169 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.5000 recall@top3: 0.7917 prec@top3: 0.4833 recall@top5: 0.8250 prec@top5: 0.3100 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 16:42:04 - mmengine - INFO - Epoch(train) [3][1480/2881] lr: 9.8987e-02 eta: 4:28:10 time: 0.6842 data_time: 0.0228 memory: 15472 grad_norm: 0.2296 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.6528 recall@top3: 0.9028 prec@top3: 0.6296 recall@top5: 0.9352 prec@top5: 0.4000 loss_action_cls: 0.0417 loss: 0.0417 2022/08/10 16:42:17 - mmengine - INFO - Epoch(train) [3][1500/2881] lr: 9.8960e-02 eta: 4:27:52 time: 0.6831 data_time: 0.0261 memory: 15261 grad_norm: 0.2479 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7436 recall@top3: 0.7404 prec@top3: 0.6923 recall@top5: 0.8910 prec@top5: 0.5077 loss_action_cls: 0.0474 loss: 0.0474 2022/08/10 16:42:33 - mmengine - INFO - Epoch(train) [3][1520/2881] lr: 9.8932e-02 eta: 4:27:37 time: 0.7573 data_time: 0.0203 memory: 15261 grad_norm: 0.2336 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.6451 recall@top3: 0.8088 prec@top3: 0.6275 recall@top5: 0.9216 prec@top5: 0.4471 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 16:42:47 - mmengine - INFO - Epoch(train) [3][1540/2881] lr: 9.8904e-02 eta: 4:27:20 time: 0.7012 data_time: 0.0257 memory: 15223 grad_norm: 0.2468 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7000 recall@top3: 0.6111 prec@top3: 0.5111 recall@top5: 0.8500 prec@top5: 0.4000 loss_action_cls: 0.0455 loss: 0.0455 2022/08/10 16:43:00 - mmengine - INFO - Epoch(train) [3][1560/2881] lr: 9.8875e-02 eta: 4:27:01 time: 0.6840 data_time: 0.0215 memory: 15338 grad_norm: 0.2226 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.7564 recall@top3: 0.7692 prec@top3: 0.7051 recall@top5: 0.8718 prec@top5: 0.4769 loss_action_cls: 0.0447 loss: 0.0447 2022/08/10 16:43:14 - mmengine - INFO - Epoch(train) [3][1580/2881] lr: 9.8846e-02 eta: 4:26:44 time: 0.6964 data_time: 0.0260 memory: 15261 grad_norm: 0.2193 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.8551 recall@top3: 0.8659 prec@top3: 0.6377 recall@top5: 0.9783 prec@top5: 0.4348 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 16:43:27 - mmengine - INFO - Epoch(train) [3][1600/2881] lr: 9.8817e-02 eta: 4:26:24 time: 0.6598 data_time: 0.0245 memory: 15318 grad_norm: 0.2368 recall@thr=0.5: 0.8299 prec@thr=0.5: 0.7500 recall@top3: 0.8542 prec@top3: 0.7917 recall@top5: 0.9410 prec@top5: 0.5333 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 16:43:42 - mmengine - INFO - Epoch(train) [3][1620/2881] lr: 9.8787e-02 eta: 4:26:09 time: 0.7419 data_time: 0.0272 memory: 15318 grad_norm: 0.2223 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.5617 recall@top3: 0.7160 prec@top3: 0.4568 recall@top5: 0.8889 prec@top5: 0.3481 loss_action_cls: 0.0452 loss: 0.0452 2022/08/10 16:43:57 - mmengine - INFO - Epoch(train) [3][1640/2881] lr: 9.8757e-02 eta: 4:25:52 time: 0.7204 data_time: 0.0235 memory: 15376 grad_norm: 0.2428 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7619 recall@top3: 0.7937 prec@top3: 0.6667 recall@top5: 0.9048 prec@top5: 0.4571 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 16:44:11 - mmengine - INFO - Epoch(train) [3][1660/2881] lr: 9.8727e-02 eta: 4:25:36 time: 0.7210 data_time: 0.0218 memory: 15184 grad_norm: 0.2267 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7051 recall@top3: 0.6827 prec@top3: 0.6538 recall@top5: 0.9103 prec@top5: 0.5385 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 16:44:24 - mmengine - INFO - Epoch(train) [3][1680/2881] lr: 9.8696e-02 eta: 4:25:16 time: 0.6570 data_time: 0.0223 memory: 15452 grad_norm: 0.2162 recall@thr=0.5: 0.6716 prec@thr=0.5: 0.7160 recall@top3: 0.7673 prec@top3: 0.5679 recall@top5: 0.8994 prec@top5: 0.4222 loss_action_cls: 0.0417 loss: 0.0417 2022/08/10 16:44:38 - mmengine - INFO - Epoch(train) [3][1700/2881] lr: 9.8665e-02 eta: 4:24:58 time: 0.6904 data_time: 0.0225 memory: 15357 grad_norm: 0.1989 recall@thr=0.5: 0.7019 prec@thr=0.5: 0.7026 recall@top3: 0.7244 prec@top3: 0.6923 recall@top5: 0.9231 prec@top5: 0.5462 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 16:44:52 - mmengine - INFO - Epoch(train) [3][1720/2881] lr: 9.8634e-02 eta: 4:24:40 time: 0.6935 data_time: 0.0229 memory: 15318 grad_norm: 0.2254 recall@thr=0.5: 0.7155 prec@thr=0.5: 0.7679 recall@top3: 0.8048 prec@top3: 0.5833 recall@top5: 0.9702 prec@top5: 0.4643 loss_action_cls: 0.0440 loss: 0.0440 2022/08/10 16:45:08 - mmengine - INFO - Epoch(train) [3][1740/2881] lr: 9.8602e-02 eta: 4:24:29 time: 0.8065 data_time: 0.0240 memory: 15357 grad_norm: 0.2564 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.6667 recall@top3: 0.8000 prec@top3: 0.5833 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 16:45:22 - mmengine - INFO - Epoch(train) [3][1760/2881] lr: 9.8570e-02 eta: 4:24:11 time: 0.6951 data_time: 0.0229 memory: 15242 grad_norm: 0.2479 recall@thr=0.5: 0.7741 prec@thr=0.5: 0.8148 recall@top3: 0.8306 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0450 loss: 0.0450 2022/08/10 16:45:35 - mmengine - INFO - Epoch(train) [3][1780/2881] lr: 9.8537e-02 eta: 4:23:51 time: 0.6586 data_time: 0.0266 memory: 15357 grad_norm: 0.2192 recall@thr=0.5: 0.6974 prec@thr=0.5: 0.6842 recall@top3: 0.7719 prec@top3: 0.5789 recall@top5: 0.9430 prec@top5: 0.4211 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 16:45:49 - mmengine - INFO - Epoch(train) [3][1800/2881] lr: 9.8504e-02 eta: 4:23:33 time: 0.6855 data_time: 0.0228 memory: 15567 grad_norm: 0.2348 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7982 recall@top3: 0.7632 prec@top3: 0.8070 recall@top5: 0.9298 prec@top5: 0.5895 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 16:46:04 - mmengine - INFO - Epoch(train) [3][1820/2881] lr: 9.8471e-02 eta: 4:23:19 time: 0.7510 data_time: 0.0246 memory: 15433 grad_norm: 0.2291 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.6706 recall@top3: 0.7183 prec@top3: 0.6349 recall@top5: 0.8929 prec@top5: 0.4952 loss_action_cls: 0.0438 loss: 0.0438 2022/08/10 16:46:18 - mmengine - INFO - Epoch(train) [3][1840/2881] lr: 9.8437e-02 eta: 4:23:00 time: 0.6855 data_time: 0.0251 memory: 15280 grad_norm: 0.2184 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.9167 recall@top3: 0.7771 prec@top3: 0.8021 recall@top5: 0.9667 prec@top5: 0.6187 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 16:46:35 - mmengine - INFO - Epoch(train) [3][1860/2881] lr: 9.8403e-02 eta: 4:22:52 time: 0.8550 data_time: 0.0248 memory: 15548 grad_norm: 0.2214 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7692 recall@top3: 0.8365 prec@top3: 0.7308 recall@top5: 0.9615 prec@top5: 0.5077 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 16:46:51 - mmengine - INFO - Epoch(train) [3][1880/2881] lr: 9.8369e-02 eta: 4:22:40 time: 0.7941 data_time: 0.0321 memory: 15433 grad_norm: 0.2150 recall@thr=0.5: 0.6452 prec@thr=0.5: 0.7903 recall@top3: 0.7312 prec@top3: 0.6237 recall@top5: 0.8548 prec@top5: 0.4516 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 16:47:05 - mmengine - INFO - Epoch(train) [3][1900/2881] lr: 9.8334e-02 eta: 4:22:22 time: 0.7004 data_time: 0.0266 memory: 15606 grad_norm: 0.1925 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6700 recall@top3: 0.7233 prec@top3: 0.5600 recall@top5: 0.9067 prec@top5: 0.4400 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 16:47:18 - mmengine - INFO - Epoch(train) [3][1920/2881] lr: 9.8299e-02 eta: 4:22:04 time: 0.6741 data_time: 0.0217 memory: 15318 grad_norm: 0.2288 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.9493 recall@top3: 0.8290 prec@top3: 0.8261 recall@top5: 0.9536 prec@top5: 0.5913 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 16:47:32 - mmengine - INFO - Epoch(train) [3][1940/2881] lr: 9.8264e-02 eta: 4:21:46 time: 0.7051 data_time: 0.0212 memory: 15357 grad_norm: 0.2347 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6133 recall@top3: 0.7750 prec@top3: 0.5333 recall@top5: 0.9500 prec@top5: 0.4100 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 16:47:46 - mmengine - INFO - Epoch(train) [3][1960/2881] lr: 9.8228e-02 eta: 4:21:28 time: 0.6746 data_time: 0.0287 memory: 15644 grad_norm: 0.2173 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.6701 recall@top3: 0.7431 prec@top3: 0.6667 recall@top5: 0.8194 prec@top5: 0.4500 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 16:47:59 - mmengine - INFO - Epoch(train) [3][1980/2881] lr: 9.8192e-02 eta: 4:21:10 time: 0.6880 data_time: 0.0220 memory: 15300 grad_norm: 0.1939 recall@thr=0.5: 0.6207 prec@thr=0.5: 0.7816 recall@top3: 0.7414 prec@top3: 0.7471 recall@top5: 0.8190 prec@top5: 0.4966 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 16:48:14 - mmengine - INFO - Epoch(train) [3][2000/2881] lr: 9.8155e-02 eta: 4:20:53 time: 0.7089 data_time: 0.0229 memory: 15261 grad_norm: 0.2228 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.7879 recall@top3: 0.8712 prec@top3: 0.6364 recall@top5: 0.9015 prec@top5: 0.4000 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 16:48:27 - mmengine - INFO - Epoch(train) [3][2020/2881] lr: 9.8119e-02 eta: 4:20:35 time: 0.6827 data_time: 0.0287 memory: 15472 grad_norm: 0.2108 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6136 recall@top3: 0.7348 prec@top3: 0.6818 recall@top5: 0.8447 prec@top5: 0.4909 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 16:48:41 - mmengine - INFO - Epoch(train) [3][2040/2881] lr: 9.8081e-02 eta: 4:20:16 time: 0.6633 data_time: 0.0231 memory: 15280 grad_norm: 0.2142 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.5486 recall@top3: 0.7431 prec@top3: 0.6111 recall@top5: 0.9271 prec@top5: 0.4750 loss_action_cls: 0.0458 loss: 0.0458 2022/08/10 16:48:54 - mmengine - INFO - Epoch(train) [3][2060/2881] lr: 9.8044e-02 eta: 4:19:57 time: 0.6662 data_time: 0.0227 memory: 15242 grad_norm: 0.2147 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7719 recall@top3: 0.7544 prec@top3: 0.6667 recall@top5: 0.8947 prec@top5: 0.4947 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 16:49:09 - mmengine - INFO - Epoch(train) [3][2080/2881] lr: 9.8006e-02 eta: 4:19:41 time: 0.7340 data_time: 0.0227 memory: 15376 grad_norm: 0.2188 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.7157 recall@top3: 0.8578 prec@top3: 0.6078 recall@top5: 0.9559 prec@top5: 0.4118 loss_action_cls: 0.0453 loss: 0.0453 2022/08/10 16:49:22 - mmengine - INFO - Epoch(train) [3][2100/2881] lr: 9.7967e-02 eta: 4:19:23 time: 0.6778 data_time: 0.0251 memory: 15452 grad_norm: 0.2182 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.9394 recall@top3: 0.8902 prec@top3: 0.8788 recall@top5: 0.9773 prec@top5: 0.5909 loss_action_cls: 0.0449 loss: 0.0449 2022/08/10 16:49:36 - mmengine - INFO - Epoch(train) [3][2120/2881] lr: 9.7929e-02 eta: 4:19:05 time: 0.6875 data_time: 0.0271 memory: 15376 grad_norm: 0.2019 recall@thr=0.5: 0.6101 prec@thr=0.5: 0.7681 recall@top3: 0.7261 prec@top3: 0.6232 recall@top5: 0.8674 prec@top5: 0.4696 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 16:49:51 - mmengine - INFO - Epoch(train) [3][2140/2881] lr: 9.7890e-02 eta: 4:18:50 time: 0.7368 data_time: 0.0234 memory: 15395 grad_norm: 0.2030 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.7628 recall@top3: 0.8622 prec@top3: 0.7308 recall@top5: 0.9551 prec@top5: 0.5000 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 16:50:05 - mmengine - INFO - Epoch(train) [3][2160/2881] lr: 9.7850e-02 eta: 4:18:34 time: 0.7195 data_time: 0.0445 memory: 15357 grad_norm: 0.1967 recall@thr=0.5: 0.7012 prec@thr=0.5: 0.7607 recall@top3: 0.7208 prec@top3: 0.7381 recall@top5: 0.9530 prec@top5: 0.6071 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 16:50:22 - mmengine - INFO - Epoch(train) [3][2180/2881] lr: 9.7811e-02 eta: 4:18:25 time: 0.8556 data_time: 0.0238 memory: 15433 grad_norm: 0.2404 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8000 recall@top3: 0.7625 prec@top3: 0.6333 recall@top5: 0.9208 prec@top5: 0.4800 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 16:50:36 - mmengine - INFO - Epoch(train) [3][2200/2881] lr: 9.7771e-02 eta: 4:18:07 time: 0.6903 data_time: 0.0231 memory: 15261 grad_norm: 0.2494 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.8966 recall@top3: 0.9080 prec@top3: 0.7701 recall@top5: 0.9770 prec@top5: 0.5103 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 16:50:50 - mmengine - INFO - Epoch(train) [3][2220/2881] lr: 9.7730e-02 eta: 4:17:50 time: 0.6973 data_time: 0.0243 memory: 15184 grad_norm: 0.2123 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.8684 recall@top3: 0.7368 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 16:51:02 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 16:51:04 - mmengine - INFO - Epoch(train) [3][2240/2881] lr: 9.7689e-02 eta: 4:17:33 time: 0.6888 data_time: 0.0219 memory: 15318 grad_norm: 0.1983 recall@thr=0.5: 0.5069 prec@thr=0.5: 0.7500 recall@top3: 0.6667 prec@top3: 0.5556 recall@top5: 0.7778 prec@top5: 0.4000 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 16:51:17 - mmengine - INFO - Epoch(train) [3][2260/2881] lr: 9.7648e-02 eta: 4:17:15 time: 0.6921 data_time: 0.0252 memory: 15261 grad_norm: 0.2064 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.7125 recall@top3: 0.7375 prec@top3: 0.7333 recall@top5: 0.9542 prec@top5: 0.5700 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 16:51:31 - mmengine - INFO - Epoch(train) [3][2280/2881] lr: 9.7607e-02 eta: 4:16:57 time: 0.6897 data_time: 0.0214 memory: 15338 grad_norm: 0.2349 recall@thr=0.5: 0.5840 prec@thr=0.5: 0.7308 recall@top3: 0.7641 prec@top3: 0.7692 recall@top5: 0.8981 prec@top5: 0.5538 loss_action_cls: 0.0428 loss: 0.0428 2022/08/10 16:51:45 - mmengine - INFO - Epoch(train) [3][2300/2881] lr: 9.7565e-02 eta: 4:16:40 time: 0.6842 data_time: 0.0211 memory: 15280 grad_norm: 0.2118 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.8627 recall@top3: 0.9020 prec@top3: 0.8039 recall@top5: 0.9216 prec@top5: 0.4941 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 16:51:59 - mmengine - INFO - Epoch(train) [3][2320/2881] lr: 9.7523e-02 eta: 4:16:22 time: 0.6878 data_time: 0.0239 memory: 15242 grad_norm: 0.2188 recall@thr=0.5: 0.6070 prec@thr=0.5: 0.6842 recall@top3: 0.6860 prec@top3: 0.6667 recall@top5: 0.7421 prec@top5: 0.4421 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 16:52:12 - mmengine - INFO - Epoch(train) [3][2340/2881] lr: 9.7480e-02 eta: 4:16:04 time: 0.6773 data_time: 0.0214 memory: 15357 grad_norm: 0.2373 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.8421 recall@top3: 0.8553 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.4526 loss_action_cls: 0.0448 loss: 0.0448 2022/08/10 16:52:26 - mmengine - INFO - Epoch(train) [3][2360/2881] lr: 9.7437e-02 eta: 4:15:47 time: 0.7073 data_time: 0.0222 memory: 15280 grad_norm: 0.2208 recall@thr=0.5: 0.4660 prec@thr=0.5: 0.4506 recall@top3: 0.6204 prec@top3: 0.4938 recall@top5: 0.8272 prec@top5: 0.3926 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 16:52:40 - mmengine - INFO - Epoch(train) [3][2380/2881] lr: 9.7394e-02 eta: 4:15:29 time: 0.6759 data_time: 0.0316 memory: 15300 grad_norm: 0.2107 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.6750 recall@top3: 0.7250 prec@top3: 0.5000 recall@top5: 0.9250 prec@top5: 0.3700 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 16:52:54 - mmengine - INFO - Epoch(train) [3][2400/2881] lr: 9.7351e-02 eta: 4:15:12 time: 0.6894 data_time: 0.0220 memory: 15204 grad_norm: 0.2349 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6333 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.8333 prec@top5: 0.4200 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 16:53:07 - mmengine - INFO - Epoch(train) [3][2420/2881] lr: 9.7307e-02 eta: 4:14:53 time: 0.6608 data_time: 0.0213 memory: 15414 grad_norm: 0.2148 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.7500 recall@top3: 0.7743 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4917 loss_action_cls: 0.0417 loss: 0.0417 2022/08/10 16:53:22 - mmengine - INFO - Epoch(train) [3][2440/2881] lr: 9.7262e-02 eta: 4:14:38 time: 0.7420 data_time: 0.0256 memory: 15242 grad_norm: 0.2050 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7424 recall@top3: 0.7386 prec@top3: 0.6212 recall@top5: 0.9015 prec@top5: 0.4545 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 16:53:37 - mmengine - INFO - Epoch(train) [3][2460/2881] lr: 9.7218e-02 eta: 4:14:23 time: 0.7420 data_time: 0.0266 memory: 15242 grad_norm: 0.2045 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.7971 recall@top3: 0.9130 prec@top3: 0.7681 recall@top5: 0.9565 prec@top5: 0.4957 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 16:53:51 - mmengine - INFO - Epoch(train) [3][2480/2881] lr: 9.7173e-02 eta: 4:14:07 time: 0.7165 data_time: 0.0287 memory: 15376 grad_norm: 0.2380 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.6708 recall@top3: 0.8333 prec@top3: 0.6000 recall@top5: 0.8833 prec@top5: 0.3800 loss_action_cls: 0.0420 loss: 0.0420 2022/08/10 16:54:05 - mmengine - INFO - Epoch(train) [3][2500/2881] lr: 9.7127e-02 eta: 4:13:50 time: 0.7036 data_time: 0.0242 memory: 15529 grad_norm: 0.2223 recall@thr=0.5: 0.8780 prec@thr=0.5: 0.8214 recall@top3: 0.8899 prec@top3: 0.6429 recall@top5: 0.9673 prec@top5: 0.4357 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 16:54:19 - mmengine - INFO - Epoch(train) [3][2520/2881] lr: 9.7082e-02 eta: 4:13:33 time: 0.6985 data_time: 0.0209 memory: 15414 grad_norm: 0.2586 recall@thr=0.5: 0.7939 prec@thr=0.5: 0.8728 recall@top3: 0.9342 prec@top3: 0.8421 recall@top5: 0.9342 prec@top5: 0.5053 loss_action_cls: 0.0436 loss: 0.0436 2022/08/10 16:54:33 - mmengine - INFO - Epoch(train) [3][2540/2881] lr: 9.7035e-02 eta: 4:13:17 time: 0.7097 data_time: 0.0219 memory: 15338 grad_norm: 0.2187 recall@thr=0.5: 0.5159 prec@thr=0.5: 0.7778 recall@top3: 0.7698 prec@top3: 0.6190 recall@top5: 0.8730 prec@top5: 0.4381 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 16:54:47 - mmengine - INFO - Epoch(train) [3][2560/2881] lr: 9.6989e-02 eta: 4:12:59 time: 0.6855 data_time: 0.0246 memory: 15414 grad_norm: 0.2119 recall@thr=0.5: 0.7177 prec@thr=0.5: 0.8586 recall@top3: 0.7894 prec@top3: 0.7879 recall@top5: 0.9182 prec@top5: 0.5697 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 16:55:00 - mmengine - INFO - Epoch(train) [3][2580/2881] lr: 9.6942e-02 eta: 4:12:40 time: 0.6562 data_time: 0.0222 memory: 15606 grad_norm: 0.2090 recall@thr=0.5: 0.9348 prec@thr=0.5: 0.7870 recall@top3: 0.8768 prec@top3: 0.7536 recall@top5: 0.9783 prec@top5: 0.5304 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 16:55:14 - mmengine - INFO - Epoch(train) [3][2600/2881] lr: 9.6895e-02 eta: 4:12:24 time: 0.7083 data_time: 0.0218 memory: 15357 grad_norm: 0.2156 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6333 recall@top3: 0.7033 prec@top3: 0.5333 recall@top5: 0.8400 prec@top5: 0.4100 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 16:55:28 - mmengine - INFO - Epoch(train) [3][2620/2881] lr: 9.6848e-02 eta: 4:12:06 time: 0.6812 data_time: 0.0229 memory: 15318 grad_norm: 0.2077 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.6716 recall@top3: 0.7843 prec@top3: 0.4510 recall@top5: 0.9804 prec@top5: 0.3529 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 16:55:43 - mmengine - INFO - Epoch(train) [3][2640/2881] lr: 9.6800e-02 eta: 4:11:52 time: 0.7406 data_time: 0.0257 memory: 15242 grad_norm: 0.2159 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.8267 recall@top3: 0.8733 prec@top3: 0.7867 recall@top5: 0.9400 prec@top5: 0.5200 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 16:55:56 - mmengine - INFO - Epoch(train) [3][2660/2881] lr: 9.6752e-02 eta: 4:11:34 time: 0.6923 data_time: 0.0320 memory: 15242 grad_norm: 0.2245 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7431 recall@top3: 0.8472 prec@top3: 0.5972 recall@top5: 0.9792 prec@top5: 0.4417 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 16:56:10 - mmengine - INFO - Epoch(train) [3][2680/2881] lr: 9.6703e-02 eta: 4:11:16 time: 0.6663 data_time: 0.0233 memory: 15261 grad_norm: 0.2385 recall@thr=0.5: 0.6126 prec@thr=0.5: 0.7759 recall@top3: 0.7328 prec@top3: 0.7356 recall@top5: 0.9287 prec@top5: 0.5862 loss_action_cls: 0.0442 loss: 0.0442 2022/08/10 16:56:23 - mmengine - INFO - Epoch(train) [3][2700/2881] lr: 9.6654e-02 eta: 4:10:59 time: 0.6847 data_time: 0.0202 memory: 15261 grad_norm: 0.2207 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.8148 recall@top3: 0.8796 prec@top3: 0.7222 recall@top5: 0.9630 prec@top5: 0.4889 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 16:56:38 - mmengine - INFO - Epoch(train) [3][2720/2881] lr: 9.6605e-02 eta: 4:10:42 time: 0.7056 data_time: 0.0242 memory: 15472 grad_norm: 0.2222 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.7101 recall@top3: 0.8225 prec@top3: 0.7246 recall@top5: 0.9565 prec@top5: 0.5043 loss_action_cls: 0.0472 loss: 0.0472 2022/08/10 16:56:52 - mmengine - INFO - Epoch(train) [3][2740/2881] lr: 9.6556e-02 eta: 4:10:27 time: 0.7313 data_time: 0.0253 memory: 15204 grad_norm: 0.2046 recall@thr=0.5: 0.4246 prec@thr=0.5: 0.7302 recall@top3: 0.7063 prec@top3: 0.7143 recall@top5: 0.8135 prec@top5: 0.4952 loss_action_cls: 0.0434 loss: 0.0434 2022/08/10 16:57:06 - mmengine - INFO - Epoch(train) [3][2760/2881] lr: 9.6506e-02 eta: 4:10:09 time: 0.6850 data_time: 0.0208 memory: 15261 grad_norm: 0.2278 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9500 recall@top3: 0.8000 prec@top3: 0.7000 recall@top5: 0.9167 prec@top5: 0.4900 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 16:57:20 - mmengine - INFO - Epoch(train) [3][2780/2881] lr: 9.6456e-02 eta: 4:09:53 time: 0.7153 data_time: 0.0229 memory: 15223 grad_norm: 0.2295 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6333 recall@top3: 0.6750 prec@top3: 0.5000 recall@top5: 0.9167 prec@top5: 0.4200 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 16:57:35 - mmengine - INFO - Epoch(train) [3][2800/2881] lr: 9.6405e-02 eta: 4:09:39 time: 0.7391 data_time: 0.0259 memory: 15300 grad_norm: 0.2345 recall@thr=0.5: 0.6935 prec@thr=0.5: 0.7419 recall@top3: 0.8710 prec@top3: 0.6989 recall@top5: 0.9758 prec@top5: 0.4839 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 16:57:50 - mmengine - INFO - Epoch(train) [3][2820/2881] lr: 9.6354e-02 eta: 4:09:23 time: 0.7299 data_time: 0.0267 memory: 15184 grad_norm: 0.2274 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8674 recall@top3: 0.8182 prec@top3: 0.6818 recall@top5: 0.9697 prec@top5: 0.5091 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 16:58:04 - mmengine - INFO - Epoch(train) [3][2840/2881] lr: 9.6303e-02 eta: 4:09:07 time: 0.7010 data_time: 0.0237 memory: 15338 grad_norm: 0.2295 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.9123 recall@top3: 0.8596 prec@top3: 0.6140 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0437 loss: 0.0437 2022/08/10 16:58:17 - mmengine - INFO - Epoch(train) [3][2860/2881] lr: 9.6251e-02 eta: 4:08:48 time: 0.6569 data_time: 0.0249 memory: 15395 grad_norm: 0.2208 recall@thr=0.5: 0.7717 prec@thr=0.5: 0.7609 recall@top3: 0.8877 prec@top3: 0.7101 recall@top5: 0.9493 prec@top5: 0.4609 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 16:58:31 - mmengine - INFO - Epoch(train) [3][2880/2881] lr: 9.6199e-02 eta: 4:08:31 time: 0.6889 data_time: 0.0201 memory: 15300 grad_norm: 0.2064 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.6754 recall@top3: 0.7851 prec@top3: 0.6667 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 16:58:31 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 16:58:31 - mmengine - INFO - Epoch(train) [3][2881/2881] lr: 9.6197e-02 eta: 4:08:31 time: 0.6915 data_time: 0.0208 memory: 15242 grad_norm: 0.2072 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.8141 recall@top3: 0.8205 prec@top3: 0.6795 recall@top5: 0.9199 prec@top5: 0.4769 loss_action_cls: 0.0423 loss: 0.0423 2022/08/10 16:58:31 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/10 16:58:41 - mmengine - INFO - Epoch(val) [3][20/6282] eta: 0:08:02 time: 0.0770 data_time: 0.0249 memory: 1670 2022/08/10 16:58:42 - mmengine - INFO - Epoch(val) [3][40/6282] eta: 0:05:23 time: 0.0518 data_time: 0.0035 memory: 1670 2022/08/10 16:58:43 - mmengine - INFO - Epoch(val) [3][60/6282] eta: 0:05:08 time: 0.0495 data_time: 0.0035 memory: 1670 2022/08/10 16:58:44 - mmengine - INFO - Epoch(val) [3][80/6282] eta: 0:05:34 time: 0.0539 data_time: 0.0050 memory: 1670 2022/08/10 16:58:45 - mmengine - INFO - Epoch(val) [3][100/6282] eta: 0:05:38 time: 0.0547 data_time: 0.0057 memory: 1670 2022/08/10 16:58:47 - mmengine - INFO - Epoch(val) [3][120/6282] eta: 0:06:30 time: 0.0634 data_time: 0.0039 memory: 1704 2022/08/10 16:58:48 - mmengine - INFO - Epoch(val) [3][140/6282] eta: 0:07:21 time: 0.0719 data_time: 0.0047 memory: 1704 2022/08/10 16:58:50 - mmengine - INFO - Epoch(val) [3][160/6282] eta: 0:07:29 time: 0.0734 data_time: 0.0072 memory: 1704 2022/08/10 16:58:52 - mmengine - INFO - Epoch(val) [3][180/6282] eta: 0:10:38 time: 0.1046 data_time: 0.0054 memory: 1704 2022/08/10 16:58:53 - mmengine - INFO - Epoch(val) [3][200/6282] eta: 0:07:27 time: 0.0737 data_time: 0.0073 memory: 1704 2022/08/10 16:58:55 - mmengine - INFO - Epoch(val) [3][220/6282] eta: 0:06:40 time: 0.0660 data_time: 0.0069 memory: 1677 2022/08/10 16:58:56 - mmengine - INFO - Epoch(val) [3][240/6282] eta: 0:06:31 time: 0.0648 data_time: 0.0052 memory: 1677 2022/08/10 16:58:57 - mmengine - INFO - Epoch(val) [3][260/6282] eta: 0:05:53 time: 0.0587 data_time: 0.0046 memory: 1677 2022/08/10 16:58:58 - mmengine - INFO - Epoch(val) [3][280/6282] eta: 0:06:16 time: 0.0628 data_time: 0.0055 memory: 1677 2022/08/10 16:59:00 - mmengine - INFO - Epoch(val) [3][300/6282] eta: 0:06:55 time: 0.0695 data_time: 0.0052 memory: 1704 2022/08/10 16:59:01 - mmengine - INFO - Epoch(val) [3][320/6282] eta: 0:07:56 time: 0.0799 data_time: 0.0062 memory: 1906 2022/08/10 16:59:03 - mmengine - INFO - Epoch(val) [3][340/6282] eta: 0:07:27 time: 0.0754 data_time: 0.0061 memory: 1774 2022/08/10 16:59:04 - mmengine - INFO - Epoch(val) [3][360/6282] eta: 0:07:28 time: 0.0758 data_time: 0.0044 memory: 1840 2022/08/10 16:59:06 - mmengine - INFO - Epoch(val) [3][380/6282] eta: 0:07:32 time: 0.0767 data_time: 0.0047 memory: 1840 2022/08/10 16:59:07 - mmengine - INFO - Epoch(val) [3][400/6282] eta: 0:06:19 time: 0.0645 data_time: 0.0041 memory: 1704 2022/08/10 16:59:08 - mmengine - INFO - Epoch(val) [3][420/6282] eta: 0:05:33 time: 0.0568 data_time: 0.0039 memory: 1677 2022/08/10 16:59:09 - mmengine - INFO - Epoch(val) [3][440/6282] eta: 0:05:34 time: 0.0573 data_time: 0.0050 memory: 1677 2022/08/10 16:59:11 - mmengine - INFO - Epoch(val) [3][460/6282] eta: 0:05:25 time: 0.0559 data_time: 0.0031 memory: 1677 2022/08/10 16:59:12 - mmengine - INFO - Epoch(val) [3][480/6282] eta: 0:06:35 time: 0.0682 data_time: 0.0039 memory: 1677 2022/08/10 16:59:13 - mmengine - INFO - Epoch(val) [3][500/6282] eta: 0:05:17 time: 0.0550 data_time: 0.0041 memory: 1677 2022/08/10 16:59:14 - mmengine - INFO - Epoch(val) [3][520/6282] eta: 0:05:13 time: 0.0544 data_time: 0.0033 memory: 1677 2022/08/10 16:59:15 - mmengine - INFO - Epoch(val) [3][540/6282] eta: 0:05:09 time: 0.0540 data_time: 0.0029 memory: 1677 2022/08/10 16:59:16 - mmengine - INFO - Epoch(val) [3][560/6282] eta: 0:05:46 time: 0.0605 data_time: 0.0045 memory: 1677 2022/08/10 16:59:18 - mmengine - INFO - Epoch(val) [3][580/6282] eta: 0:05:19 time: 0.0560 data_time: 0.0044 memory: 1677 2022/08/10 16:59:19 - mmengine - INFO - Epoch(val) [3][600/6282] eta: 0:07:17 time: 0.0771 data_time: 0.0267 memory: 1677 2022/08/10 16:59:21 - mmengine - INFO - Epoch(val) [3][620/6282] eta: 0:09:26 time: 0.1000 data_time: 0.0569 memory: 1677 2022/08/10 16:59:22 - mmengine - INFO - Epoch(val) [3][640/6282] eta: 0:06:21 time: 0.0675 data_time: 0.0227 memory: 1675 2022/08/10 16:59:23 - mmengine - INFO - Epoch(val) [3][660/6282] eta: 0:04:03 time: 0.0432 data_time: 0.0022 memory: 1675 2022/08/10 16:59:24 - mmengine - INFO - Epoch(val) [3][680/6282] eta: 0:04:09 time: 0.0445 data_time: 0.0021 memory: 1675 2022/08/10 16:59:25 - mmengine - INFO - Epoch(val) [3][700/6282] eta: 0:04:30 time: 0.0484 data_time: 0.0025 memory: 1675 2022/08/10 16:59:27 - mmengine - INFO - Epoch(val) [3][720/6282] eta: 0:08:48 time: 0.0951 data_time: 0.0261 memory: 1939 2022/08/10 16:59:30 - mmengine - INFO - Epoch(val) [3][740/6282] eta: 0:13:51 time: 0.1501 data_time: 0.0784 memory: 1807 2022/08/10 16:59:32 - mmengine - INFO - Epoch(val) [3][760/6282] eta: 0:09:30 time: 0.1033 data_time: 0.0358 memory: 1774 2022/08/10 16:59:40 - mmengine - INFO - Epoch(val) [3][780/6282] eta: 0:35:20 time: 0.3854 data_time: 0.3158 memory: 1704 2022/08/10 16:59:46 - mmengine - INFO - Epoch(val) [3][800/6282] eta: 0:29:05 time: 0.3183 data_time: 0.2532 memory: 1704 2022/08/10 16:59:50 - mmengine - INFO - Epoch(val) [3][820/6282] eta: 0:16:40 time: 0.1832 data_time: 0.1331 memory: 1704 2022/08/10 16:59:51 - mmengine - INFO - Epoch(val) [3][840/6282] eta: 0:05:23 time: 0.0595 data_time: 0.0028 memory: 1722 2022/08/10 16:59:53 - mmengine - INFO - Epoch(val) [3][860/6282] eta: 0:06:54 time: 0.0765 data_time: 0.0238 memory: 1677 2022/08/10 16:59:54 - mmengine - INFO - Epoch(val) [3][880/6282] eta: 0:05:19 time: 0.0591 data_time: 0.0037 memory: 1677 2022/08/10 16:59:55 - mmengine - INFO - Epoch(val) [3][900/6282] eta: 0:05:02 time: 0.0563 data_time: 0.0038 memory: 1677 2022/08/10 16:59:56 - mmengine - INFO - Epoch(val) [3][920/6282] eta: 0:05:14 time: 0.0586 data_time: 0.0039 memory: 1697 2022/08/10 16:59:57 - mmengine - INFO - Epoch(val) [3][940/6282] eta: 0:04:51 time: 0.0546 data_time: 0.0038 memory: 1670 2022/08/10 16:59:58 - mmengine - INFO - Epoch(val) [3][960/6282] eta: 0:04:46 time: 0.0539 data_time: 0.0048 memory: 1670 2022/08/10 16:59:59 - mmengine - INFO - Epoch(val) [3][980/6282] eta: 0:04:54 time: 0.0556 data_time: 0.0049 memory: 1670 2022/08/10 17:00:01 - mmengine - INFO - Epoch(val) [3][1000/6282] eta: 0:05:04 time: 0.0577 data_time: 0.0038 memory: 1670 2022/08/10 17:00:02 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:05:02 time: 0.0575 data_time: 0.0057 memory: 1670 2022/08/10 17:00:03 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:05:03 time: 0.0579 data_time: 0.0047 memory: 1677 2022/08/10 17:00:04 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:04:56 time: 0.0568 data_time: 0.0040 memory: 1677 2022/08/10 17:00:05 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:06:10 time: 0.0711 data_time: 0.0245 memory: 1677 2022/08/10 17:00:08 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:10:01 time: 0.1161 data_time: 0.0686 memory: 1677 2022/08/10 17:00:09 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:04:41 time: 0.0545 data_time: 0.0032 memory: 1677 2022/08/10 17:00:10 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:06:43 time: 0.0785 data_time: 0.0229 memory: 1677 2022/08/10 17:00:12 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:06:28 time: 0.0758 data_time: 0.0210 memory: 1677 2022/08/10 17:00:13 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:04:51 time: 0.0571 data_time: 0.0032 memory: 1677 2022/08/10 17:00:14 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:04:46 time: 0.0564 data_time: 0.0037 memory: 1747 2022/08/10 17:00:15 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:04:51 time: 0.0577 data_time: 0.0039 memory: 1677 2022/08/10 17:00:18 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:11:34 time: 0.1378 data_time: 0.0790 memory: 1704 2022/08/10 17:00:21 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:12:19 time: 0.1472 data_time: 0.0775 memory: 1704 2022/08/10 17:00:25 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:17:01 time: 0.2043 data_time: 0.1429 memory: 1704 2022/08/10 17:00:28 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:10:17 time: 0.1240 data_time: 0.0603 memory: 1704 2022/08/10 17:00:31 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:14:46 time: 0.1787 data_time: 0.0992 memory: 1704 2022/08/10 17:00:34 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:11:44 time: 0.1426 data_time: 0.0607 memory: 1704 2022/08/10 17:00:37 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:11:59 time: 0.1462 data_time: 0.0833 memory: 1704 2022/08/10 17:00:40 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:10:29 time: 0.1284 data_time: 0.0675 memory: 1704 2022/08/10 17:00:43 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:12:49 time: 0.1575 data_time: 0.0945 memory: 1704 2022/08/10 17:00:46 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:11:38 time: 0.1437 data_time: 0.0654 memory: 1704 2022/08/10 17:00:47 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:06:58 time: 0.0864 data_time: 0.0235 memory: 1715 2022/08/10 17:00:49 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:05:44 time: 0.0714 data_time: 0.0031 memory: 1873 2022/08/10 17:00:50 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:05:27 time: 0.0682 data_time: 0.0049 memory: 1807 2022/08/10 17:00:52 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:05:42 time: 0.0717 data_time: 0.0090 memory: 1807 2022/08/10 17:00:53 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:05:09 time: 0.0649 data_time: 0.0032 memory: 1798 2022/08/10 17:00:59 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:23:28 time: 0.2970 data_time: 0.2175 memory: 1798 2022/08/10 17:01:00 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:06:29 time: 0.0824 data_time: 0.0044 memory: 1798 2022/08/10 17:01:02 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:06:39 time: 0.0849 data_time: 0.0047 memory: 1798 2022/08/10 17:01:04 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:06:10 time: 0.0791 data_time: 0.0044 memory: 1798 2022/08/10 17:01:05 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:06:14 time: 0.0803 data_time: 0.0043 memory: 1798 2022/08/10 17:01:07 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:05:47 time: 0.0748 data_time: 0.0037 memory: 1840 2022/08/10 17:01:08 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:05:27 time: 0.0708 data_time: 0.0042 memory: 1704 2022/08/10 17:01:10 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:05:12 time: 0.0679 data_time: 0.0041 memory: 1704 2022/08/10 17:01:11 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:07:07 time: 0.0933 data_time: 0.0040 memory: 1939 2022/08/10 17:01:13 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:06:02 time: 0.0795 data_time: 0.0050 memory: 1973 2022/08/10 17:01:14 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:05:07 time: 0.0678 data_time: 0.0044 memory: 1704 2022/08/10 17:01:16 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:05:02 time: 0.0668 data_time: 0.0043 memory: 1704 2022/08/10 17:01:17 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:05:16 time: 0.0703 data_time: 0.0045 memory: 1704 2022/08/10 17:01:19 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:05:21 time: 0.0718 data_time: 0.0047 memory: 1807 2022/08/10 17:01:20 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:05:38 time: 0.0759 data_time: 0.0048 memory: 1774 2022/08/10 17:01:22 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:05:57 time: 0.0805 data_time: 0.0096 memory: 1704 2022/08/10 17:01:25 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:12:27 time: 0.1690 data_time: 0.1053 memory: 1704 2022/08/10 17:01:28 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:09:40 time: 0.1318 data_time: 0.0668 memory: 1704 2022/08/10 17:01:32 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:14:17 time: 0.1956 data_time: 0.1108 memory: 1704 2022/08/10 17:01:34 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:07:22 time: 0.1014 data_time: 0.0316 memory: 1704 2022/08/10 17:01:36 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:08:54 time: 0.1230 data_time: 0.0586 memory: 1704 2022/08/10 17:01:37 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:04:04 time: 0.0566 data_time: 0.0043 memory: 1677 2022/08/10 17:01:38 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:03:58 time: 0.0554 data_time: 0.0041 memory: 1677 2022/08/10 17:01:40 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:04:07 time: 0.0578 data_time: 0.0048 memory: 1677 2022/08/10 17:01:41 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:04:18 time: 0.0606 data_time: 0.0050 memory: 1677 2022/08/10 17:01:42 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:04:24 time: 0.0624 data_time: 0.0057 memory: 1677 2022/08/10 17:01:43 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:04:02 time: 0.0574 data_time: 0.0044 memory: 1677 2022/08/10 17:01:46 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:09:12 time: 0.1314 data_time: 0.0665 memory: 1677 2022/08/10 17:01:47 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:05:08 time: 0.0738 data_time: 0.0222 memory: 1677 2022/08/10 17:01:48 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:03:22 time: 0.0488 data_time: 0.0043 memory: 1677 2022/08/10 17:01:50 - mmengine - INFO - Epoch(val) [3][2140/6282] eta: 0:05:35 time: 0.0810 data_time: 0.0289 memory: 1697 2022/08/10 17:01:51 - mmengine - INFO - Epoch(val) [3][2160/6282] eta: 0:04:54 time: 0.0714 data_time: 0.0188 memory: 1677 2022/08/10 17:01:52 - mmengine - INFO - Epoch(val) [3][2180/6282] eta: 0:03:59 time: 0.0584 data_time: 0.0040 memory: 1677 2022/08/10 17:01:54 - mmengine - INFO - Epoch(val) [3][2200/6282] eta: 0:03:55 time: 0.0578 data_time: 0.0046 memory: 1677 2022/08/10 17:01:55 - mmengine - INFO - Epoch(val) [3][2220/6282] eta: 0:03:48 time: 0.0563 data_time: 0.0050 memory: 1677 2022/08/10 17:01:56 - mmengine - INFO - Epoch(val) [3][2240/6282] eta: 0:05:35 time: 0.0831 data_time: 0.0041 memory: 1677 2022/08/10 17:01:58 - mmengine - INFO - Epoch(val) [3][2260/6282] eta: 0:04:11 time: 0.0626 data_time: 0.0046 memory: 1677 2022/08/10 17:01:59 - mmengine - INFO - Epoch(val) [3][2280/6282] eta: 0:04:08 time: 0.0620 data_time: 0.0047 memory: 1698 2022/08/10 17:02:00 - mmengine - INFO - Epoch(val) [3][2300/6282] eta: 0:03:58 time: 0.0599 data_time: 0.0049 memory: 1677 2022/08/10 17:02:01 - mmengine - INFO - Epoch(val) [3][2320/6282] eta: 0:04:24 time: 0.0667 data_time: 0.0054 memory: 1677 2022/08/10 17:02:03 - mmengine - INFO - Epoch(val) [3][2340/6282] eta: 0:03:57 time: 0.0603 data_time: 0.0046 memory: 1677 2022/08/10 17:02:04 - mmengine - INFO - Epoch(val) [3][2360/6282] eta: 0:04:01 time: 0.0617 data_time: 0.0045 memory: 1677 2022/08/10 17:02:05 - mmengine - INFO - Epoch(val) [3][2380/6282] eta: 0:04:12 time: 0.0646 data_time: 0.0070 memory: 1677 2022/08/10 17:02:06 - mmengine - INFO - Epoch(val) [3][2400/6282] eta: 0:03:57 time: 0.0611 data_time: 0.0044 memory: 1677 2022/08/10 17:02:08 - mmengine - INFO - Epoch(val) [3][2420/6282] eta: 0:03:55 time: 0.0610 data_time: 0.0059 memory: 1677 2022/08/10 17:02:09 - mmengine - INFO - Epoch(val) [3][2440/6282] eta: 0:03:55 time: 0.0612 data_time: 0.0041 memory: 1677 2022/08/10 17:02:10 - mmengine - INFO - Epoch(val) [3][2460/6282] eta: 0:04:56 time: 0.0777 data_time: 0.0119 memory: 1704 2022/08/10 17:02:13 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:07:17 time: 0.1152 data_time: 0.0136 memory: 1704 2022/08/10 17:02:14 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:04:46 time: 0.0758 data_time: 0.0051 memory: 1704 2022/08/10 17:02:16 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:05:31 time: 0.0882 data_time: 0.0162 memory: 1774 2022/08/10 17:02:18 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:07:31 time: 0.1206 data_time: 0.0494 memory: 1939 2022/08/10 17:02:22 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:09:23 time: 0.1515 data_time: 0.0862 memory: 1704 2022/08/10 17:02:25 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:11:48 time: 0.1914 data_time: 0.1202 memory: 1704 2022/08/10 17:02:28 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:09:39 time: 0.1574 data_time: 0.0865 memory: 1715 2022/08/10 17:02:32 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:10:01 time: 0.1642 data_time: 0.0760 memory: 1704 2022/08/10 17:02:34 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:08:00 time: 0.1320 data_time: 0.0663 memory: 1704 2022/08/10 17:02:36 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:05:01 time: 0.0832 data_time: 0.0053 memory: 1788 2022/08/10 17:02:38 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:05:11 time: 0.0866 data_time: 0.0067 memory: 1788 2022/08/10 17:02:39 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:04:56 time: 0.0827 data_time: 0.0057 memory: 1788 2022/08/10 17:02:41 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:05:22 time: 0.0906 data_time: 0.0064 memory: 1788 2022/08/10 17:02:43 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:05:06 time: 0.0866 data_time: 0.0074 memory: 1797 2022/08/10 17:02:44 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:03:27 time: 0.0588 data_time: 0.0041 memory: 1677 2022/08/10 17:02:45 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:03:34 time: 0.0611 data_time: 0.0048 memory: 1677 2022/08/10 17:02:47 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:03:31 time: 0.0606 data_time: 0.0043 memory: 1631 2022/08/10 17:02:48 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:03:35 time: 0.0624 data_time: 0.0046 memory: 1677 2022/08/10 17:02:49 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:03:30 time: 0.0613 data_time: 0.0044 memory: 1631 2022/08/10 17:02:51 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:04:01 time: 0.0704 data_time: 0.0043 memory: 1704 2022/08/10 17:02:53 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:05:37 time: 0.0993 data_time: 0.0048 memory: 1704 2022/08/10 17:02:54 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:04:00 time: 0.0710 data_time: 0.0041 memory: 1704 2022/08/10 17:02:55 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:03:38 time: 0.0649 data_time: 0.0046 memory: 1704 2022/08/10 17:02:56 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:03:12 time: 0.0576 data_time: 0.0036 memory: 1688 2022/08/10 17:02:58 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:03:20 time: 0.0604 data_time: 0.0035 memory: 1688 2022/08/10 17:02:59 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:03:22 time: 0.0612 data_time: 0.0043 memory: 1688 2022/08/10 17:03:00 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:03:22 time: 0.0618 data_time: 0.0048 memory: 1688 2022/08/10 17:03:01 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:03:38 time: 0.0671 data_time: 0.0046 memory: 1704 2022/08/10 17:03:03 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:03:50 time: 0.0710 data_time: 0.0049 memory: 1715 2022/08/10 17:03:04 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:03:48 time: 0.0708 data_time: 0.0044 memory: 1774 2022/08/10 17:03:06 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:03:38 time: 0.0682 data_time: 0.0048 memory: 1704 2022/08/10 17:03:07 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:03:23 time: 0.0641 data_time: 0.0047 memory: 1704 2022/08/10 17:03:08 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:02:55 time: 0.0556 data_time: 0.0045 memory: 1677 2022/08/10 17:03:09 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:03:02 time: 0.0580 data_time: 0.0054 memory: 1677 2022/08/10 17:03:10 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:03:05 time: 0.0595 data_time: 0.0048 memory: 1677 2022/08/10 17:03:12 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:04:17 time: 0.0830 data_time: 0.0047 memory: 1677 2022/08/10 17:03:13 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:03:26 time: 0.0671 data_time: 0.0060 memory: 1704 2022/08/10 17:03:15 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:04:39 time: 0.0912 data_time: 0.0313 memory: 1704 2022/08/10 17:03:18 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:05:56 time: 0.1171 data_time: 0.0587 memory: 1704 2022/08/10 17:03:21 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:07:23 time: 0.1466 data_time: 0.0810 memory: 1704 2022/08/10 17:03:22 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:03:58 time: 0.0793 data_time: 0.0049 memory: 1704 2022/08/10 17:03:24 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:03:42 time: 0.0746 data_time: 0.0046 memory: 1695 2022/08/10 17:03:25 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:03:36 time: 0.0730 data_time: 0.0052 memory: 1704 2022/08/10 17:03:27 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:03:34 time: 0.0730 data_time: 0.0055 memory: 1715 2022/08/10 17:03:28 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:03:30 time: 0.0720 data_time: 0.0044 memory: 1704 2022/08/10 17:03:29 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:03:10 time: 0.0657 data_time: 0.0048 memory: 1704 2022/08/10 17:03:30 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:02:53 time: 0.0601 data_time: 0.0039 memory: 1722 2022/08/10 17:03:32 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:02:43 time: 0.0571 data_time: 0.0036 memory: 1677 2022/08/10 17:03:33 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:02:33 time: 0.0540 data_time: 0.0037 memory: 1677 2022/08/10 17:03:34 - mmengine - INFO - Epoch(val) [3][3460/6282] eta: 0:02:51 time: 0.0608 data_time: 0.0039 memory: 1677 2022/08/10 17:03:35 - mmengine - INFO - Epoch(val) [3][3480/6282] eta: 0:02:52 time: 0.0616 data_time: 0.0043 memory: 1722 2022/08/10 17:03:36 - mmengine - INFO - Epoch(val) [3][3500/6282] eta: 0:02:45 time: 0.0595 data_time: 0.0054 memory: 1677 2022/08/10 17:03:38 - mmengine - INFO - Epoch(val) [3][3520/6282] eta: 0:03:38 time: 0.0792 data_time: 0.0039 memory: 1677 2022/08/10 17:03:39 - mmengine - INFO - Epoch(val) [3][3540/6282] eta: 0:02:30 time: 0.0549 data_time: 0.0037 memory: 1677 2022/08/10 17:03:40 - mmengine - INFO - Epoch(val) [3][3560/6282] eta: 0:02:31 time: 0.0558 data_time: 0.0042 memory: 1677 2022/08/10 17:03:41 - mmengine - INFO - Epoch(val) [3][3580/6282] eta: 0:02:39 time: 0.0590 data_time: 0.0047 memory: 1696 2022/08/10 17:03:43 - mmengine - INFO - Epoch(val) [3][3600/6282] eta: 0:04:42 time: 0.1052 data_time: 0.0511 memory: 1696 2022/08/10 17:03:45 - mmengine - INFO - Epoch(val) [3][3620/6282] eta: 0:02:55 time: 0.0658 data_time: 0.0046 memory: 1845 2022/08/10 17:03:46 - mmengine - INFO - Epoch(val) [3][3640/6282] eta: 0:02:55 time: 0.0664 data_time: 0.0122 memory: 1696 2022/08/10 17:03:47 - mmengine - INFO - Epoch(val) [3][3660/6282] eta: 0:02:26 time: 0.0559 data_time: 0.0027 memory: 1696 2022/08/10 17:03:48 - mmengine - INFO - Epoch(val) [3][3680/6282] eta: 0:02:34 time: 0.0594 data_time: 0.0037 memory: 1704 2022/08/10 17:03:50 - mmengine - INFO - Epoch(val) [3][3700/6282] eta: 0:03:49 time: 0.0890 data_time: 0.0043 memory: 1704 2022/08/10 17:03:52 - mmengine - INFO - Epoch(val) [3][3720/6282] eta: 0:03:22 time: 0.0792 data_time: 0.0072 memory: 1704 2022/08/10 17:03:53 - mmengine - INFO - Epoch(val) [3][3740/6282] eta: 0:03:10 time: 0.0750 data_time: 0.0051 memory: 1704 2022/08/10 17:03:55 - mmengine - INFO - Epoch(val) [3][3760/6282] eta: 0:03:23 time: 0.0806 data_time: 0.0148 memory: 1704 2022/08/10 17:03:57 - mmengine - INFO - Epoch(val) [3][3780/6282] eta: 0:03:37 time: 0.0870 data_time: 0.0192 memory: 1704 2022/08/10 17:03:58 - mmengine - INFO - Epoch(val) [3][3800/6282] eta: 0:03:39 time: 0.0886 data_time: 0.0195 memory: 1704 2022/08/10 17:04:00 - mmengine - INFO - Epoch(val) [3][3820/6282] eta: 0:03:45 time: 0.0917 data_time: 0.0246 memory: 1704 2022/08/10 17:04:02 - mmengine - INFO - Epoch(val) [3][3840/6282] eta: 0:04:13 time: 0.1040 data_time: 0.0132 memory: 1704 2022/08/10 17:04:04 - mmengine - INFO - Epoch(val) [3][3860/6282] eta: 0:03:21 time: 0.0831 data_time: 0.0146 memory: 1704 2022/08/10 17:04:06 - mmengine - INFO - Epoch(val) [3][3880/6282] eta: 0:03:37 time: 0.0905 data_time: 0.0220 memory: 1704 2022/08/10 17:04:07 - mmengine - INFO - Epoch(val) [3][3900/6282] eta: 0:03:04 time: 0.0774 data_time: 0.0113 memory: 1704 2022/08/10 17:04:09 - mmengine - INFO - Epoch(val) [3][3920/6282] eta: 0:02:56 time: 0.0747 data_time: 0.0121 memory: 1704 2022/08/10 17:04:10 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:03:07 time: 0.0801 data_time: 0.0146 memory: 1704 2022/08/10 17:04:12 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:02:51 time: 0.0737 data_time: 0.0047 memory: 1715 2022/08/10 17:04:13 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:02:49 time: 0.0735 data_time: 0.0047 memory: 1715 2022/08/10 17:04:15 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:02:35 time: 0.0681 data_time: 0.0043 memory: 1715 2022/08/10 17:04:16 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:02:29 time: 0.0660 data_time: 0.0043 memory: 1704 2022/08/10 17:04:18 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:02:40 time: 0.0717 data_time: 0.0046 memory: 1788 2022/08/10 17:04:19 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:02:58 time: 0.0804 data_time: 0.0044 memory: 1788 2022/08/10 17:04:21 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:02:56 time: 0.0803 data_time: 0.0045 memory: 1788 2022/08/10 17:04:23 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:03:41 time: 0.1015 data_time: 0.0055 memory: 1788 2022/08/10 17:04:24 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:02:52 time: 0.0800 data_time: 0.0045 memory: 1788 2022/08/10 17:04:26 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:02:28 time: 0.0695 data_time: 0.0045 memory: 1788 2022/08/10 17:04:27 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:01:54 time: 0.0540 data_time: 0.0034 memory: 1677 2022/08/10 17:04:28 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:01:53 time: 0.0538 data_time: 0.0057 memory: 1677 2022/08/10 17:04:29 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:01:56 time: 0.0558 data_time: 0.0040 memory: 1677 2022/08/10 17:04:30 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:01:52 time: 0.0548 data_time: 0.0034 memory: 1677 2022/08/10 17:04:31 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:02:03 time: 0.0606 data_time: 0.0056 memory: 1677 2022/08/10 17:04:33 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:01:52 time: 0.0556 data_time: 0.0041 memory: 1677 2022/08/10 17:04:34 - mmengine - INFO - Epoch(val) [3][4280/6282] eta: 0:01:48 time: 0.0544 data_time: 0.0036 memory: 1677 2022/08/10 17:04:35 - mmengine - INFO - Epoch(val) [3][4300/6282] eta: 0:01:47 time: 0.0543 data_time: 0.0039 memory: 1677 2022/08/10 17:04:36 - mmengine - INFO - Epoch(val) [3][4320/6282] eta: 0:01:51 time: 0.0570 data_time: 0.0041 memory: 1677 2022/08/10 17:04:37 - mmengine - INFO - Epoch(val) [3][4340/6282] eta: 0:01:52 time: 0.0581 data_time: 0.0055 memory: 1677 2022/08/10 17:04:38 - mmengine - INFO - Epoch(val) [3][4360/6282] eta: 0:02:04 time: 0.0648 data_time: 0.0043 memory: 1704 2022/08/10 17:04:40 - mmengine - INFO - Epoch(val) [3][4380/6282] eta: 0:02:03 time: 0.0647 data_time: 0.0053 memory: 1704 2022/08/10 17:04:41 - mmengine - INFO - Epoch(val) [3][4400/6282] eta: 0:01:53 time: 0.0604 data_time: 0.0041 memory: 1704 2022/08/10 17:04:43 - mmengine - INFO - Epoch(val) [3][4420/6282] eta: 0:02:42 time: 0.0873 data_time: 0.0042 memory: 1704 2022/08/10 17:04:44 - mmengine - INFO - Epoch(val) [3][4440/6282] eta: 0:02:03 time: 0.0669 data_time: 0.0036 memory: 1707 2022/08/10 17:04:45 - mmengine - INFO - Epoch(val) [3][4460/6282] eta: 0:02:00 time: 0.0663 data_time: 0.0043 memory: 1707 2022/08/10 17:04:47 - mmengine - INFO - Epoch(val) [3][4480/6282] eta: 0:01:57 time: 0.0654 data_time: 0.0044 memory: 1707 2022/08/10 17:04:48 - mmengine - INFO - Epoch(val) [3][4500/6282] eta: 0:02:00 time: 0.0677 data_time: 0.0041 memory: 1707 2022/08/10 17:04:49 - mmengine - INFO - Epoch(val) [3][4520/6282] eta: 0:01:54 time: 0.0650 data_time: 0.0042 memory: 1724 2022/08/10 17:04:50 - mmengine - INFO - Epoch(val) [3][4540/6282] eta: 0:01:38 time: 0.0563 data_time: 0.0046 memory: 1724 2022/08/10 17:04:52 - mmengine - INFO - Epoch(val) [3][4560/6282] eta: 0:01:46 time: 0.0616 data_time: 0.0040 memory: 1679 2022/08/10 17:04:53 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:43 time: 0.0609 data_time: 0.0035 memory: 1679 2022/08/10 17:04:54 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:36 time: 0.0573 data_time: 0.0038 memory: 1679 2022/08/10 17:04:55 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:01:36 time: 0.0579 data_time: 0.0043 memory: 1679 2022/08/10 17:04:56 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:52 time: 0.0686 data_time: 0.0048 memory: 1707 2022/08/10 17:04:58 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:01:50 time: 0.0678 data_time: 0.0040 memory: 1707 2022/08/10 17:04:59 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:51 time: 0.0694 data_time: 0.0041 memory: 1707 2022/08/10 17:05:01 - mmengine - INFO - Epoch(val) [3][4700/6282] eta: 0:01:49 time: 0.0694 data_time: 0.0048 memory: 1707 2022/08/10 17:05:03 - mmengine - INFO - Epoch(val) [3][4720/6282] eta: 0:02:41 time: 0.1037 data_time: 0.0044 memory: 1707 2022/08/10 17:05:04 - mmengine - INFO - Epoch(val) [3][4740/6282] eta: 0:01:32 time: 0.0597 data_time: 0.0035 memory: 1688 2022/08/10 17:05:05 - mmengine - INFO - Epoch(val) [3][4760/6282] eta: 0:01:31 time: 0.0598 data_time: 0.0036 memory: 1729 2022/08/10 17:05:06 - mmengine - INFO - Epoch(val) [3][4780/6282] eta: 0:01:26 time: 0.0576 data_time: 0.0049 memory: 1688 2022/08/10 17:05:07 - mmengine - INFO - Epoch(val) [3][4800/6282] eta: 0:01:31 time: 0.0614 data_time: 0.0039 memory: 1688 2022/08/10 17:05:09 - mmengine - INFO - Epoch(val) [3][4820/6282] eta: 0:01:33 time: 0.0639 data_time: 0.0041 memory: 1704 2022/08/10 17:05:10 - mmengine - INFO - Epoch(val) [3][4840/6282] eta: 0:01:38 time: 0.0685 data_time: 0.0045 memory: 1704 2022/08/10 17:05:11 - mmengine - INFO - Epoch(val) [3][4860/6282] eta: 0:01:36 time: 0.0682 data_time: 0.0052 memory: 1704 2022/08/10 17:05:13 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:34 time: 0.0673 data_time: 0.0048 memory: 1704 2022/08/10 17:05:14 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:30 time: 0.0654 data_time: 0.0041 memory: 1704 2022/08/10 17:05:15 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:01:30 time: 0.0664 data_time: 0.0040 memory: 1704 2022/08/10 17:05:17 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:01:33 time: 0.0696 data_time: 0.0044 memory: 1704 2022/08/10 17:05:18 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:36 time: 0.0731 data_time: 0.0053 memory: 1704 2022/08/10 17:05:20 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:01:31 time: 0.0699 data_time: 0.0044 memory: 1704 2022/08/10 17:05:21 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:01:27 time: 0.0683 data_time: 0.0041 memory: 1704 2022/08/10 17:05:23 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:01:54 time: 0.0906 data_time: 0.0054 memory: 1704 2022/08/10 17:05:24 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:01:09 time: 0.0559 data_time: 0.0045 memory: 1677 2022/08/10 17:05:25 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:01:14 time: 0.0606 data_time: 0.0048 memory: 1677 2022/08/10 17:05:27 - mmengine - INFO - Epoch(val) [3][5080/6282] eta: 0:01:17 time: 0.0643 data_time: 0.0051 memory: 1723 2022/08/10 17:05:28 - mmengine - INFO - Epoch(val) [3][5100/6282] eta: 0:01:11 time: 0.0603 data_time: 0.0038 memory: 1677 2022/08/10 17:05:29 - mmengine - INFO - Epoch(val) [3][5120/6282] eta: 0:01:08 time: 0.0588 data_time: 0.0038 memory: 1677 2022/08/10 17:05:30 - mmengine - INFO - Epoch(val) [3][5140/6282] eta: 0:01:05 time: 0.0576 data_time: 0.0055 memory: 1677 2022/08/10 17:05:31 - mmengine - INFO - Epoch(val) [3][5160/6282] eta: 0:01:09 time: 0.0618 data_time: 0.0058 memory: 1677 2022/08/10 17:05:33 - mmengine - INFO - Epoch(val) [3][5180/6282] eta: 0:01:08 time: 0.0618 data_time: 0.0062 memory: 1677 2022/08/10 17:05:34 - mmengine - INFO - Epoch(val) [3][5200/6282] eta: 0:01:03 time: 0.0586 data_time: 0.0044 memory: 1677 2022/08/10 17:05:35 - mmengine - INFO - Epoch(val) [3][5220/6282] eta: 0:01:00 time: 0.0571 data_time: 0.0047 memory: 1677 2022/08/10 17:05:36 - mmengine - INFO - Epoch(val) [3][5240/6282] eta: 0:01:05 time: 0.0624 data_time: 0.0043 memory: 1773 2022/08/10 17:05:37 - mmengine - INFO - Epoch(val) [3][5260/6282] eta: 0:01:00 time: 0.0589 data_time: 0.0055 memory: 1677 2022/08/10 17:05:39 - mmengine - INFO - Epoch(val) [3][5280/6282] eta: 0:01:02 time: 0.0620 data_time: 0.0051 memory: 1697 2022/08/10 17:05:40 - mmengine - INFO - Epoch(val) [3][5300/6282] eta: 0:00:56 time: 0.0579 data_time: 0.0045 memory: 1677 2022/08/10 17:05:41 - mmengine - INFO - Epoch(val) [3][5320/6282] eta: 0:00:55 time: 0.0576 data_time: 0.0043 memory: 1677 2022/08/10 17:05:43 - mmengine - INFO - Epoch(val) [3][5340/6282] eta: 0:01:16 time: 0.0812 data_time: 0.0038 memory: 1677 2022/08/10 17:05:44 - mmengine - INFO - Epoch(val) [3][5360/6282] eta: 0:00:51 time: 0.0557 data_time: 0.0051 memory: 1677 2022/08/10 17:05:45 - mmengine - INFO - Epoch(val) [3][5380/6282] eta: 0:00:57 time: 0.0640 data_time: 0.0048 memory: 1747 2022/08/10 17:05:46 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:00:50 time: 0.0575 data_time: 0.0040 memory: 1677 2022/08/10 17:05:47 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:47 time: 0.0553 data_time: 0.0042 memory: 1677 2022/08/10 17:05:48 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:00:47 time: 0.0559 data_time: 0.0040 memory: 1677 2022/08/10 17:05:49 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:45 time: 0.0550 data_time: 0.0042 memory: 1677 2022/08/10 17:05:51 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:45 time: 0.0570 data_time: 0.0040 memory: 1677 2022/08/10 17:05:52 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:48 time: 0.0622 data_time: 0.0064 memory: 1677 2022/08/10 17:05:53 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:00:46 time: 0.0614 data_time: 0.0039 memory: 1686 2022/08/10 17:05:54 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:00:44 time: 0.0603 data_time: 0.0040 memory: 1686 2022/08/10 17:05:55 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:44 time: 0.0623 data_time: 0.0044 memory: 1686 2022/08/10 17:05:58 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:01:29 time: 0.1282 data_time: 0.0776 memory: 1686 2022/08/10 17:06:00 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:00:53 time: 0.0783 data_time: 0.0253 memory: 1686 2022/08/10 17:06:01 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:00:34 time: 0.0514 data_time: 0.0027 memory: 1686 2022/08/10 17:06:02 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:00:47 time: 0.0741 data_time: 0.0237 memory: 1677 2022/08/10 17:06:03 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:32 time: 0.0522 data_time: 0.0034 memory: 1677 2022/08/10 17:06:04 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:31 time: 0.0526 data_time: 0.0044 memory: 1677 2022/08/10 17:06:05 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:28 time: 0.0490 data_time: 0.0030 memory: 1677 2022/08/10 17:06:06 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:28 time: 0.0503 data_time: 0.0029 memory: 1692 2022/08/10 17:06:07 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:28 time: 0.0525 data_time: 0.0027 memory: 1692 2022/08/10 17:06:08 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:28 time: 0.0549 data_time: 0.0026 memory: 1692 2022/08/10 17:06:09 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:28 time: 0.0560 data_time: 0.0028 memory: 1740 2022/08/10 17:06:11 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:26 time: 0.0554 data_time: 0.0028 memory: 1692 2022/08/10 17:06:12 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:36 time: 0.0800 data_time: 0.0074 memory: 1692 2022/08/10 17:06:13 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:27 time: 0.0613 data_time: 0.0049 memory: 1686 2022/08/10 17:06:15 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:25 time: 0.0600 data_time: 0.0054 memory: 1686 2022/08/10 17:06:16 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:24 time: 0.0609 data_time: 0.0052 memory: 1686 2022/08/10 17:06:17 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:00:23 time: 0.0611 data_time: 0.0042 memory: 1686 2022/08/10 17:06:18 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:00:20 time: 0.0575 data_time: 0.0047 memory: 1686 2022/08/10 17:06:19 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:18 time: 0.0554 data_time: 0.0054 memory: 1677 2022/08/10 17:06:20 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:17 time: 0.0546 data_time: 0.0038 memory: 1677 2022/08/10 17:06:22 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:00:17 time: 0.0589 data_time: 0.0049 memory: 1677 2022/08/10 17:06:23 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:19 time: 0.0686 data_time: 0.0072 memory: 1704 2022/08/10 17:06:24 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:18 time: 0.0690 data_time: 0.0047 memory: 1704 2022/08/10 17:06:26 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:16 time: 0.0700 data_time: 0.0052 memory: 1704 2022/08/10 17:06:27 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:15 time: 0.0694 data_time: 0.0043 memory: 1715 2022/08/10 17:06:29 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:00:15 time: 0.0784 data_time: 0.0056 memory: 1715 2022/08/10 17:06:30 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:13 time: 0.0732 data_time: 0.0046 memory: 1873 2022/08/10 17:06:32 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:17 time: 0.1066 data_time: 0.0123 memory: 1704 2022/08/10 17:06:34 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:11 time: 0.0826 data_time: 0.0058 memory: 1840 2022/08/10 17:06:36 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:10 time: 0.0834 data_time: 0.0067 memory: 1840 2022/08/10 17:06:37 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:07 time: 0.0774 data_time: 0.0072 memory: 1704 2022/08/10 17:06:39 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:06 time: 0.0735 data_time: 0.0053 memory: 1704 2022/08/10 17:06:40 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:04 time: 0.0698 data_time: 0.0048 memory: 1704 2022/08/10 17:06:41 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:02 time: 0.0643 data_time: 0.0039 memory: 1704 2022/08/10 17:06:43 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:01 time: 0.0666 data_time: 0.0052 memory: 1704 2022/08/10 17:06:44 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0870 data_time: 0.0225 memory: 1704 2022/08/10 17:12:07 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2594 2022/08/10 17:12:07 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2022/08/10 17:12:19 - mmengine - INFO - The best checkpoint with 0.2594 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2022/08/10 17:12:34 - mmengine - INFO - Epoch(train) [4][20/2881] lr: 9.6144e-02 eta: 4:08:15 time: 0.7599 data_time: 0.0779 memory: 15395 grad_norm: 0.2376 recall@thr=0.5: 0.5924 prec@thr=0.5: 0.8371 recall@top3: 0.7667 prec@top3: 0.7273 recall@top5: 0.9174 prec@top5: 0.5455 loss_action_cls: 0.0439 loss: 0.0439 2022/08/10 17:12:47 - mmengine - INFO - Epoch(train) [4][40/2881] lr: 9.6092e-02 eta: 4:07:57 time: 0.6703 data_time: 0.0277 memory: 15242 grad_norm: 0.2369 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.7561 recall@top3: 0.7841 prec@top3: 0.7424 recall@top5: 0.9318 prec@top5: 0.5455 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 17:13:01 - mmengine - INFO - Epoch(train) [4][60/2881] lr: 9.6039e-02 eta: 4:07:40 time: 0.6893 data_time: 0.0231 memory: 15300 grad_norm: 0.2383 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.8241 recall@top3: 0.7407 prec@top3: 0.6111 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0425 loss: 0.0425 2022/08/10 17:13:15 - mmengine - INFO - Epoch(train) [4][80/2881] lr: 9.5985e-02 eta: 4:07:23 time: 0.7042 data_time: 0.0224 memory: 15548 grad_norm: 0.2300 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8262 recall@top3: 0.7381 prec@top3: 0.6984 recall@top5: 0.9405 prec@top5: 0.5714 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 17:13:30 - mmengine - INFO - Epoch(train) [4][100/2881] lr: 9.5932e-02 eta: 4:07:08 time: 0.7295 data_time: 0.0251 memory: 15300 grad_norm: 0.2199 recall@thr=0.5: 0.7730 prec@thr=0.5: 0.9052 recall@top3: 0.8333 prec@top3: 0.8506 recall@top5: 0.9914 prec@top5: 0.6207 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 17:13:44 - mmengine - INFO - Epoch(train) [4][120/2881] lr: 9.5878e-02 eta: 4:06:52 time: 0.7080 data_time: 0.0222 memory: 15452 grad_norm: 0.2403 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.7179 recall@top3: 0.8077 prec@top3: 0.5641 recall@top5: 0.8910 prec@top5: 0.3846 loss_action_cls: 0.0424 loss: 0.0424 2022/08/10 17:13:57 - mmengine - INFO - Epoch(train) [4][140/2881] lr: 9.5823e-02 eta: 4:06:34 time: 0.6672 data_time: 0.0269 memory: 15300 grad_norm: 0.2053 recall@thr=0.5: 0.6437 prec@thr=0.5: 0.7931 recall@top3: 0.8391 prec@top3: 0.6437 recall@top5: 0.9540 prec@top5: 0.4414 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 17:14:11 - mmengine - INFO - Epoch(train) [4][160/2881] lr: 9.5768e-02 eta: 4:06:18 time: 0.7070 data_time: 0.0306 memory: 15433 grad_norm: 0.2342 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.8056 recall@top3: 0.8264 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0411 loss: 0.0411 2022/08/10 17:14:26 - mmengine - INFO - Epoch(train) [4][180/2881] lr: 9.5713e-02 eta: 4:06:02 time: 0.7135 data_time: 0.0255 memory: 15318 grad_norm: 0.2400 recall@thr=0.5: 0.7212 prec@thr=0.5: 0.6474 recall@top3: 0.7917 prec@top3: 0.5897 recall@top5: 0.9263 prec@top5: 0.4308 loss_action_cls: 0.0470 loss: 0.0470 2022/08/10 17:14:40 - mmengine - INFO - Epoch(train) [4][200/2881] lr: 9.5658e-02 eta: 4:05:47 time: 0.7376 data_time: 0.0210 memory: 15242 grad_norm: 0.2087 recall@thr=0.5: 0.5399 prec@thr=0.5: 0.5580 recall@top3: 0.6594 prec@top3: 0.5507 recall@top5: 0.8406 prec@top5: 0.4522 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 17:14:57 - mmengine - INFO - Epoch(train) [4][220/2881] lr: 9.5602e-02 eta: 4:05:36 time: 0.8210 data_time: 0.0225 memory: 15414 grad_norm: 0.1987 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8571 recall@top3: 0.8889 prec@top3: 0.7302 recall@top5: 0.9881 prec@top5: 0.5048 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 17:15:11 - mmengine - INFO - Epoch(train) [4][240/2881] lr: 9.5546e-02 eta: 4:05:20 time: 0.7276 data_time: 0.0244 memory: 15491 grad_norm: 0.1946 recall@thr=0.5: 0.7688 prec@thr=0.5: 0.8548 recall@top3: 0.7527 prec@top3: 0.7957 recall@top5: 0.8925 prec@top5: 0.5742 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 17:15:25 - mmengine - INFO - Epoch(train) [4][260/2881] lr: 9.5490e-02 eta: 4:05:04 time: 0.6898 data_time: 0.0261 memory: 15452 grad_norm: 0.2256 recall@thr=0.5: 0.4733 prec@thr=0.5: 0.5533 recall@top3: 0.6300 prec@top3: 0.5067 recall@top5: 0.7667 prec@top5: 0.4080 loss_action_cls: 0.0457 loss: 0.0457 2022/08/10 17:15:39 - mmengine - INFO - Epoch(train) [4][280/2881] lr: 9.5433e-02 eta: 4:04:47 time: 0.6942 data_time: 0.0237 memory: 15472 grad_norm: 0.2120 recall@thr=0.5: 0.8939 prec@thr=0.5: 0.9015 recall@top3: 0.9318 prec@top3: 0.8333 recall@top5: 0.9697 prec@top5: 0.5273 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 17:15:53 - mmengine - INFO - Epoch(train) [4][300/2881] lr: 9.5376e-02 eta: 4:04:31 time: 0.7184 data_time: 0.0259 memory: 15376 grad_norm: 0.2302 recall@thr=0.5: 0.6693 prec@thr=0.5: 0.7328 recall@top3: 0.7760 prec@top3: 0.6667 recall@top5: 0.9427 prec@top5: 0.5062 loss_action_cls: 0.0456 loss: 0.0456 2022/08/10 17:16:07 - mmengine - INFO - Epoch(train) [4][320/2881] lr: 9.5319e-02 eta: 4:04:13 time: 0.6667 data_time: 0.0240 memory: 15280 grad_norm: 0.2308 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6061 recall@top3: 0.7159 prec@top3: 0.5909 recall@top5: 0.8864 prec@top5: 0.4182 loss_action_cls: 0.0421 loss: 0.0421 2022/08/10 17:16:21 - mmengine - INFO - Epoch(train) [4][340/2881] lr: 9.5261e-02 eta: 4:03:58 time: 0.7215 data_time: 0.0264 memory: 15491 grad_norm: 0.2531 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.8175 recall@top3: 0.7778 prec@top3: 0.6032 recall@top5: 0.8413 prec@top5: 0.4000 loss_action_cls: 0.0465 loss: 0.0465 2022/08/10 17:16:33 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 17:16:35 - mmengine - INFO - Epoch(train) [4][360/2881] lr: 9.5203e-02 eta: 4:03:41 time: 0.6883 data_time: 0.0208 memory: 15204 grad_norm: 0.2266 recall@thr=0.5: 0.5364 prec@thr=0.5: 0.5758 recall@top3: 0.7136 prec@top3: 0.6061 recall@top5: 0.9136 prec@top5: 0.4636 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 17:16:49 - mmengine - INFO - Epoch(train) [4][380/2881] lr: 9.5144e-02 eta: 4:03:23 time: 0.6824 data_time: 0.0241 memory: 15318 grad_norm: 0.2098 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.7803 recall@top3: 0.8826 prec@top3: 0.6667 recall@top5: 0.9886 prec@top5: 0.4636 loss_action_cls: 0.0382 loss: 0.0382 2022/08/10 17:17:03 - mmengine - INFO - Epoch(train) [4][400/2881] lr: 9.5086e-02 eta: 4:03:07 time: 0.7037 data_time: 0.0221 memory: 15433 grad_norm: 0.2043 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.8437 recall@top3: 0.8594 prec@top3: 0.6771 recall@top5: 0.9557 prec@top5: 0.4625 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 17:17:17 - mmengine - INFO - Epoch(train) [4][420/2881] lr: 9.5026e-02 eta: 4:02:51 time: 0.7109 data_time: 0.0232 memory: 15548 grad_norm: 0.1958 recall@thr=0.5: 0.3529 prec@thr=0.5: 0.4216 recall@top3: 0.6863 prec@top3: 0.5882 recall@top5: 0.8137 prec@top5: 0.4235 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 17:17:30 - mmengine - INFO - Epoch(train) [4][440/2881] lr: 9.4967e-02 eta: 4:02:34 time: 0.6699 data_time: 0.0243 memory: 15318 grad_norm: 0.2053 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.6726 recall@top3: 0.8810 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 17:17:44 - mmengine - INFO - Epoch(train) [4][460/2881] lr: 9.4907e-02 eta: 4:02:17 time: 0.6947 data_time: 0.0229 memory: 15376 grad_norm: 0.2193 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.9144 recall@top3: 0.8220 prec@top3: 0.7879 recall@top5: 0.9432 prec@top5: 0.5636 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 17:17:58 - mmengine - INFO - Epoch(train) [4][480/2881] lr: 9.4847e-02 eta: 4:02:00 time: 0.6885 data_time: 0.0221 memory: 15491 grad_norm: 0.2144 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6581 recall@top3: 0.7863 prec@top3: 0.6581 recall@top5: 0.8974 prec@top5: 0.4615 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 17:18:12 - mmengine - INFO - Epoch(train) [4][500/2881] lr: 9.4787e-02 eta: 4:01:44 time: 0.7022 data_time: 0.0275 memory: 15165 grad_norm: 0.2352 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.6367 recall@top3: 0.7567 prec@top3: 0.6000 recall@top5: 0.9133 prec@top5: 0.4320 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 17:18:27 - mmengine - INFO - Epoch(train) [4][520/2881] lr: 9.4726e-02 eta: 4:01:29 time: 0.7436 data_time: 0.0670 memory: 15338 grad_norm: 0.2230 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7431 recall@top3: 0.7014 prec@top3: 0.5972 recall@top5: 0.9167 prec@top5: 0.4750 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 17:18:40 - mmengine - INFO - Epoch(train) [4][540/2881] lr: 9.4665e-02 eta: 4:01:12 time: 0.6784 data_time: 0.0233 memory: 15357 grad_norm: 0.2237 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.5909 recall@top3: 0.7803 prec@top3: 0.5455 recall@top5: 0.7955 prec@top5: 0.3364 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 17:18:54 - mmengine - INFO - Epoch(train) [4][560/2881] lr: 9.4603e-02 eta: 4:00:55 time: 0.6921 data_time: 0.0233 memory: 15433 grad_norm: 0.2405 recall@thr=0.5: 0.7724 prec@thr=0.5: 0.6571 recall@top3: 0.7660 prec@top3: 0.6667 recall@top5: 0.9808 prec@top5: 0.5231 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 17:19:08 - mmengine - INFO - Epoch(train) [4][580/2881] lr: 9.4542e-02 eta: 4:00:38 time: 0.6864 data_time: 0.0300 memory: 15452 grad_norm: 0.2129 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.6713 recall@top3: 0.7338 prec@top3: 0.6481 recall@top5: 0.9120 prec@top5: 0.4833 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 17:19:22 - mmengine - INFO - Epoch(train) [4][600/2881] lr: 9.4480e-02 eta: 4:00:22 time: 0.6928 data_time: 0.0223 memory: 15280 grad_norm: 0.1990 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8889 recall@top3: 0.7817 prec@top3: 0.7302 recall@top5: 0.9286 prec@top5: 0.5238 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 17:19:36 - mmengine - INFO - Epoch(train) [4][620/2881] lr: 9.4417e-02 eta: 4:00:06 time: 0.7217 data_time: 0.0242 memory: 15567 grad_norm: 0.2247 recall@thr=0.5: 0.7644 prec@thr=0.5: 0.8966 recall@top3: 0.8678 prec@top3: 0.8046 recall@top5: 1.0000 prec@top5: 0.5724 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 17:19:50 - mmengine - INFO - Epoch(train) [4][640/2881] lr: 9.4354e-02 eta: 3:59:50 time: 0.6957 data_time: 0.0287 memory: 15472 grad_norm: 0.2259 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.6917 recall@top3: 0.8292 prec@top3: 0.5167 recall@top5: 0.9292 prec@top5: 0.3700 loss_action_cls: 0.0432 loss: 0.0432 2022/08/10 17:20:05 - mmengine - INFO - Epoch(train) [4][660/2881] lr: 9.4291e-02 eta: 3:59:36 time: 0.7543 data_time: 0.0230 memory: 15491 grad_norm: 0.2108 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.9023 recall@top3: 0.8707 prec@top3: 0.7701 recall@top5: 0.9540 prec@top5: 0.5241 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 17:20:19 - mmengine - INFO - Epoch(train) [4][680/2881] lr: 9.4228e-02 eta: 3:59:19 time: 0.6924 data_time: 0.0274 memory: 15261 grad_norm: 0.2095 recall@thr=0.5: 0.7567 prec@thr=0.5: 0.8467 recall@top3: 0.8600 prec@top3: 0.7200 recall@top5: 0.9800 prec@top5: 0.5040 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 17:20:33 - mmengine - INFO - Epoch(train) [4][700/2881] lr: 9.4164e-02 eta: 3:59:03 time: 0.6979 data_time: 0.0246 memory: 15491 grad_norm: 0.2131 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.8175 recall@top3: 0.9008 prec@top3: 0.6984 recall@top5: 0.9484 prec@top5: 0.4476 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 17:20:49 - mmengine - INFO - Epoch(train) [4][720/2881] lr: 9.4100e-02 eta: 3:58:50 time: 0.7903 data_time: 0.0252 memory: 15491 grad_norm: 0.2007 recall@thr=0.5: 0.6402 prec@thr=0.5: 0.7841 recall@top3: 0.7273 prec@top3: 0.7879 recall@top5: 0.8977 prec@top5: 0.5909 loss_action_cls: 0.0417 loss: 0.0417 2022/08/10 17:21:03 - mmengine - INFO - Epoch(train) [4][740/2881] lr: 9.4036e-02 eta: 3:58:34 time: 0.6929 data_time: 0.0219 memory: 15567 grad_norm: 0.2193 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7600 recall@top3: 0.7400 prec@top3: 0.6667 recall@top5: 0.9267 prec@top5: 0.4800 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 17:21:17 - mmengine - INFO - Epoch(train) [4][760/2881] lr: 9.3971e-02 eta: 3:58:18 time: 0.6974 data_time: 0.0291 memory: 15300 grad_norm: 0.2329 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8889 recall@top3: 0.9556 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 17:21:32 - mmengine - INFO - Epoch(train) [4][780/2881] lr: 9.3906e-02 eta: 3:58:03 time: 0.7391 data_time: 0.0209 memory: 15280 grad_norm: 0.2316 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.6615 recall@top3: 0.6677 prec@top3: 0.5833 recall@top5: 0.9146 prec@top5: 0.4875 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 17:21:46 - mmengine - INFO - Epoch(train) [4][800/2881] lr: 9.3841e-02 eta: 3:57:48 time: 0.7269 data_time: 0.0224 memory: 15242 grad_norm: 0.2216 recall@thr=0.5: 0.8121 prec@thr=0.5: 0.8939 recall@top3: 0.8682 prec@top3: 0.7273 recall@top5: 0.9000 prec@top5: 0.4636 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 17:22:01 - mmengine - INFO - Epoch(train) [4][820/2881] lr: 9.3775e-02 eta: 3:57:33 time: 0.7435 data_time: 0.0220 memory: 15376 grad_norm: 0.2009 recall@thr=0.5: 0.6527 prec@thr=0.5: 0.8267 recall@top3: 0.7733 prec@top3: 0.7067 recall@top5: 0.9147 prec@top5: 0.4960 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 17:22:15 - mmengine - INFO - Epoch(train) [4][840/2881] lr: 9.3709e-02 eta: 3:57:18 time: 0.7207 data_time: 0.0251 memory: 15300 grad_norm: 0.2164 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6465 recall@top3: 0.6899 prec@top3: 0.5960 recall@top5: 0.8879 prec@top5: 0.4424 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 17:22:32 - mmengine - INFO - Epoch(train) [4][860/2881] lr: 9.3642e-02 eta: 3:57:07 time: 0.8389 data_time: 0.0206 memory: 15721 grad_norm: 0.2076 recall@thr=0.5: 0.8820 prec@thr=0.5: 0.9422 recall@top3: 0.9412 prec@top3: 0.8707 recall@top5: 0.9776 prec@top5: 0.5469 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 17:22:46 - mmengine - INFO - Epoch(train) [4][880/2881] lr: 9.3576e-02 eta: 3:56:51 time: 0.6919 data_time: 0.0228 memory: 15338 grad_norm: 0.2063 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.5794 recall@top3: 0.7738 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.4095 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 17:23:00 - mmengine - INFO - Epoch(train) [4][900/2881] lr: 9.3509e-02 eta: 3:56:35 time: 0.7093 data_time: 0.0254 memory: 15242 grad_norm: 0.2141 recall@thr=0.5: 0.9474 prec@thr=0.5: 0.9430 recall@top3: 0.9474 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 17:23:14 - mmengine - INFO - Epoch(train) [4][920/2881] lr: 9.3441e-02 eta: 3:56:18 time: 0.6943 data_time: 0.0273 memory: 15261 grad_norm: 0.2105 recall@thr=0.5: 0.8276 prec@thr=0.5: 0.8851 recall@top3: 0.8747 prec@top3: 0.7701 recall@top5: 1.0000 prec@top5: 0.5448 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 17:23:28 - mmengine - INFO - Epoch(train) [4][940/2881] lr: 9.3374e-02 eta: 3:56:02 time: 0.6890 data_time: 0.0248 memory: 15242 grad_norm: 0.2030 recall@thr=0.5: 0.7600 prec@thr=0.5: 0.8067 recall@top3: 0.8200 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.3600 loss_action_cls: 0.0426 loss: 0.0426 2022/08/10 17:23:42 - mmengine - INFO - Epoch(train) [4][960/2881] lr: 9.3306e-02 eta: 3:55:45 time: 0.6839 data_time: 0.0256 memory: 15357 grad_norm: 0.1959 recall@thr=0.5: 0.6780 prec@thr=0.5: 0.6667 recall@top3: 0.8371 prec@top3: 0.6364 recall@top5: 0.9583 prec@top5: 0.4455 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 17:23:56 - mmengine - INFO - Epoch(train) [4][980/2881] lr: 9.3238e-02 eta: 3:55:29 time: 0.7046 data_time: 0.0289 memory: 15663 grad_norm: 0.2280 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.6488 recall@top3: 0.7232 prec@top3: 0.5833 recall@top5: 0.9226 prec@top5: 0.4571 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 17:24:09 - mmengine - INFO - Epoch(train) [4][1000/2881] lr: 9.3169e-02 eta: 3:55:12 time: 0.6900 data_time: 0.0253 memory: 15300 grad_norm: 0.2291 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7778 recall@top3: 0.7937 prec@top3: 0.6349 recall@top5: 0.9524 prec@top5: 0.4667 loss_action_cls: 0.0460 loss: 0.0460 2022/08/10 17:24:24 - mmengine - INFO - Epoch(train) [4][1020/2881] lr: 9.3100e-02 eta: 3:54:57 time: 0.7246 data_time: 0.0240 memory: 15338 grad_norm: 0.2204 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8000 recall@top3: 0.7500 prec@top3: 0.5152 recall@top5: 0.9091 prec@top5: 0.4091 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 17:24:38 - mmengine - INFO - Epoch(train) [4][1040/2881] lr: 9.3031e-02 eta: 3:54:42 time: 0.7242 data_time: 0.0275 memory: 15395 grad_norm: 0.2328 recall@thr=0.5: 0.5735 prec@thr=0.5: 0.8529 recall@top3: 0.8137 prec@top3: 0.7059 recall@top5: 0.9216 prec@top5: 0.5059 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 17:24:52 - mmengine - INFO - Epoch(train) [4][1060/2881] lr: 9.2961e-02 eta: 3:54:26 time: 0.6929 data_time: 0.0277 memory: 15280 grad_norm: 0.2188 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9048 recall@top3: 0.8730 prec@top3: 0.7302 recall@top5: 0.9683 prec@top5: 0.5048 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 17:25:06 - mmengine - INFO - Epoch(train) [4][1080/2881] lr: 9.2891e-02 eta: 3:54:10 time: 0.7044 data_time: 0.0224 memory: 15338 grad_norm: 0.2207 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.7754 recall@top3: 0.8986 prec@top3: 0.5652 recall@top5: 0.9783 prec@top5: 0.3826 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 17:25:20 - mmengine - INFO - Epoch(train) [4][1100/2881] lr: 9.2821e-02 eta: 3:53:53 time: 0.6764 data_time: 0.0240 memory: 15338 grad_norm: 0.2301 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7917 recall@top3: 0.8833 prec@top3: 0.5667 recall@top5: 0.9333 prec@top5: 0.3700 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 17:25:33 - mmengine - INFO - Epoch(train) [4][1120/2881] lr: 9.2751e-02 eta: 3:53:36 time: 0.6775 data_time: 0.0266 memory: 15606 grad_norm: 0.2050 recall@thr=0.5: 0.6811 prec@thr=0.5: 0.9242 recall@top3: 0.7568 prec@top3: 0.8030 recall@top5: 0.9886 prec@top5: 0.6545 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 17:25:48 - mmengine - INFO - Epoch(train) [4][1140/2881] lr: 9.2680e-02 eta: 3:53:20 time: 0.7112 data_time: 0.0265 memory: 15433 grad_norm: 0.2006 recall@thr=0.5: 0.4976 prec@thr=0.5: 0.5476 recall@top3: 0.6405 prec@top3: 0.4762 recall@top5: 0.8345 prec@top5: 0.4143 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 17:26:02 - mmengine - INFO - Epoch(train) [4][1160/2881] lr: 9.2608e-02 eta: 3:53:04 time: 0.6967 data_time: 0.0229 memory: 15395 grad_norm: 0.1985 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.4603 recall@top3: 0.6984 prec@top3: 0.5397 recall@top5: 0.8333 prec@top5: 0.4095 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 17:26:16 - mmengine - INFO - Epoch(train) [4][1180/2881] lr: 9.2537e-02 eta: 3:52:48 time: 0.7119 data_time: 0.0264 memory: 15261 grad_norm: 0.2070 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.7955 recall@top3: 0.8333 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.4818 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 17:26:29 - mmengine - INFO - Epoch(train) [4][1200/2881] lr: 9.2465e-02 eta: 3:52:30 time: 0.6589 data_time: 0.0291 memory: 15223 grad_norm: 0.2075 recall@thr=0.5: 0.6494 prec@thr=0.5: 0.7931 recall@top3: 0.8563 prec@top3: 0.6437 recall@top5: 0.9770 prec@top5: 0.4552 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 17:26:43 - mmengine - INFO - Epoch(train) [4][1220/2881] lr: 9.2393e-02 eta: 3:52:14 time: 0.6984 data_time: 0.0229 memory: 15280 grad_norm: 0.2302 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.9333 recall@top3: 0.9250 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4300 loss_action_cls: 0.0407 loss: 0.0407 2022/08/10 17:26:57 - mmengine - INFO - Epoch(train) [4][1240/2881] lr: 9.2321e-02 eta: 3:51:59 time: 0.7189 data_time: 0.0294 memory: 15433 grad_norm: 0.2181 recall@thr=0.5: 0.5875 prec@thr=0.5: 0.5800 recall@top3: 0.6875 prec@top3: 0.6167 recall@top5: 0.8833 prec@top5: 0.5000 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 17:27:11 - mmengine - INFO - Epoch(train) [4][1260/2881] lr: 9.2248e-02 eta: 3:51:42 time: 0.6894 data_time: 0.0245 memory: 15280 grad_norm: 0.2441 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.7368 recall@top3: 0.7719 prec@top3: 0.6491 recall@top5: 0.8947 prec@top5: 0.4632 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 17:27:25 - mmengine - INFO - Epoch(train) [4][1280/2881] lr: 9.2175e-02 eta: 3:51:26 time: 0.6963 data_time: 0.0226 memory: 15414 grad_norm: 0.2065 recall@thr=0.5: 0.6070 prec@thr=0.5: 0.6774 recall@top3: 0.7065 prec@top3: 0.6344 recall@top5: 0.7694 prec@top5: 0.4258 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 17:27:39 - mmengine - INFO - Epoch(train) [4][1300/2881] lr: 9.2101e-02 eta: 3:51:11 time: 0.7115 data_time: 0.0260 memory: 15338 grad_norm: 0.2221 recall@thr=0.5: 0.8442 prec@thr=0.5: 0.9493 recall@top3: 0.8732 prec@top3: 0.7101 recall@top5: 0.9601 prec@top5: 0.4957 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 17:27:53 - mmengine - INFO - Epoch(train) [4][1320/2881] lr: 9.2028e-02 eta: 3:50:55 time: 0.7042 data_time: 0.0253 memory: 15300 grad_norm: 0.2313 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.7267 recall@top3: 0.7133 prec@top3: 0.6533 recall@top5: 0.8933 prec@top5: 0.5120 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 17:28:10 - mmengine - INFO - Epoch(train) [4][1340/2881] lr: 9.1954e-02 eta: 3:50:44 time: 0.8287 data_time: 0.0223 memory: 15452 grad_norm: 0.2180 recall@thr=0.5: 0.6801 prec@thr=0.5: 0.6989 recall@top3: 0.7903 prec@top3: 0.6559 recall@top5: 0.9704 prec@top5: 0.4839 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 17:28:22 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 17:28:23 - mmengine - INFO - Epoch(train) [4][1360/2881] lr: 9.1879e-02 eta: 3:50:27 time: 0.6778 data_time: 0.0215 memory: 15338 grad_norm: 0.2002 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8596 recall@top3: 0.8289 prec@top3: 0.6842 recall@top5: 0.9342 prec@top5: 0.4842 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 17:28:37 - mmengine - INFO - Epoch(train) [4][1380/2881] lr: 9.1805e-02 eta: 3:50:11 time: 0.6985 data_time: 0.0290 memory: 15452 grad_norm: 0.2045 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.7765 recall@top3: 0.8864 prec@top3: 0.7424 recall@top5: 0.9773 prec@top5: 0.5000 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 17:28:51 - mmengine - INFO - Epoch(train) [4][1400/2881] lr: 9.1730e-02 eta: 3:49:54 time: 0.6869 data_time: 0.0231 memory: 15338 grad_norm: 0.2086 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8532 recall@top3: 0.7778 prec@top3: 0.6032 recall@top5: 0.9048 prec@top5: 0.4381 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 17:29:06 - mmengine - INFO - Epoch(train) [4][1420/2881] lr: 9.1655e-02 eta: 3:49:39 time: 0.7174 data_time: 0.0226 memory: 15338 grad_norm: 0.1932 recall@thr=0.5: 0.7233 prec@thr=0.5: 0.7867 recall@top3: 0.8100 prec@top3: 0.6933 recall@top5: 0.9567 prec@top5: 0.5040 loss_action_cls: 0.0416 loss: 0.0416 2022/08/10 17:29:19 - mmengine - INFO - Epoch(train) [4][1440/2881] lr: 9.1579e-02 eta: 3:49:22 time: 0.6765 data_time: 0.0222 memory: 15472 grad_norm: 0.2084 recall@thr=0.5: 0.8843 prec@thr=0.5: 0.9676 recall@top3: 0.9398 prec@top3: 0.7778 recall@top5: 0.9861 prec@top5: 0.5000 loss_action_cls: 0.0396 loss: 0.0396 2022/08/10 17:29:34 - mmengine - INFO - Epoch(train) [4][1460/2881] lr: 9.1503e-02 eta: 3:49:06 time: 0.7178 data_time: 0.0230 memory: 15548 grad_norm: 0.2185 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8500 recall@top3: 0.8438 prec@top3: 0.7083 recall@top5: 0.8958 prec@top5: 0.4625 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 17:29:50 - mmengine - INFO - Epoch(train) [4][1480/2881] lr: 9.1427e-02 eta: 3:48:56 time: 0.8364 data_time: 0.0281 memory: 15376 grad_norm: 0.1971 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.8596 recall@top3: 0.7807 prec@top3: 0.7368 recall@top5: 0.9649 prec@top5: 0.5368 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 17:30:04 - mmengine - INFO - Epoch(train) [4][1500/2881] lr: 9.1351e-02 eta: 3:48:40 time: 0.7135 data_time: 0.0267 memory: 15606 grad_norm: 0.2006 recall@thr=0.5: 0.7069 prec@thr=0.5: 0.7713 recall@top3: 0.9138 prec@top3: 0.6322 recall@top5: 0.9540 prec@top5: 0.4069 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 17:30:23 - mmengine - INFO - Epoch(train) [4][1520/2881] lr: 9.1274e-02 eta: 3:48:32 time: 0.9059 data_time: 0.2403 memory: 15357 grad_norm: 0.1883 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.8421 recall@top3: 0.7807 prec@top3: 0.7368 recall@top5: 0.9386 prec@top5: 0.5474 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 17:30:37 - mmengine - INFO - Epoch(train) [4][1540/2881] lr: 9.1197e-02 eta: 3:48:16 time: 0.7053 data_time: 0.0219 memory: 15242 grad_norm: 0.2047 recall@thr=0.5: 0.7847 prec@thr=0.5: 0.8403 recall@top3: 0.8576 prec@top3: 0.6250 recall@top5: 0.9201 prec@top5: 0.4083 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 17:30:53 - mmengine - INFO - Epoch(train) [4][1560/2881] lr: 9.1119e-02 eta: 3:48:04 time: 0.8206 data_time: 0.0232 memory: 15414 grad_norm: 0.2136 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8364 recall@top3: 0.8409 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 17:31:07 - mmengine - INFO - Epoch(train) [4][1580/2881] lr: 9.1042e-02 eta: 3:47:48 time: 0.7076 data_time: 0.0218 memory: 15280 grad_norm: 0.2284 recall@thr=0.5: 0.6693 prec@thr=0.5: 0.8533 recall@top3: 0.8047 prec@top3: 0.6933 recall@top5: 0.9420 prec@top5: 0.5120 loss_action_cls: 0.0429 loss: 0.0429 2022/08/10 17:31:22 - mmengine - INFO - Epoch(train) [4][1600/2881] lr: 9.0964e-02 eta: 3:47:34 time: 0.7410 data_time: 0.0273 memory: 15376 grad_norm: 0.2324 recall@thr=0.5: 0.8478 prec@thr=0.5: 0.6942 recall@top3: 0.8478 prec@top3: 0.6232 recall@top5: 0.9130 prec@top5: 0.4000 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 17:31:36 - mmengine - INFO - Epoch(train) [4][1620/2881] lr: 9.0885e-02 eta: 3:47:18 time: 0.7060 data_time: 0.0214 memory: 15452 grad_norm: 0.2049 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.8712 recall@top3: 0.8864 prec@top3: 0.7424 recall@top5: 0.9318 prec@top5: 0.4727 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 17:31:50 - mmengine - INFO - Epoch(train) [4][1640/2881] lr: 9.0807e-02 eta: 3:47:02 time: 0.6970 data_time: 0.0266 memory: 15300 grad_norm: 0.2121 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.6806 recall@top3: 0.7778 prec@top3: 0.5417 recall@top5: 0.8819 prec@top5: 0.3833 loss_action_cls: 0.0430 loss: 0.0430 2022/08/10 17:32:04 - mmengine - INFO - Epoch(train) [4][1660/2881] lr: 9.0728e-02 eta: 3:46:45 time: 0.6776 data_time: 0.0195 memory: 15395 grad_norm: 0.1987 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7222 recall@top3: 0.8532 prec@top3: 0.6984 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 17:32:17 - mmengine - INFO - Epoch(train) [4][1680/2881] lr: 9.0649e-02 eta: 3:46:29 time: 0.6892 data_time: 0.0265 memory: 15376 grad_norm: 0.2009 recall@thr=0.5: 0.6437 prec@thr=0.5: 0.6976 recall@top3: 0.6690 prec@top3: 0.5556 recall@top5: 0.7706 prec@top5: 0.4000 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 17:32:31 - mmengine - INFO - Epoch(train) [4][1700/2881] lr: 9.0569e-02 eta: 3:46:13 time: 0.6986 data_time: 0.0226 memory: 15261 grad_norm: 0.2069 recall@thr=0.5: 0.7035 prec@thr=0.5: 0.7535 recall@top3: 0.8229 prec@top3: 0.6944 recall@top5: 0.9104 prec@top5: 0.4750 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 17:32:45 - mmengine - INFO - Epoch(train) [4][1720/2881] lr: 9.0489e-02 eta: 3:45:57 time: 0.6936 data_time: 0.0224 memory: 15414 grad_norm: 0.2186 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.8684 recall@top3: 0.8158 prec@top3: 0.5614 recall@top5: 0.9868 prec@top5: 0.4105 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 17:32:59 - mmengine - INFO - Epoch(train) [4][1740/2881] lr: 9.0409e-02 eta: 3:45:41 time: 0.6928 data_time: 0.0447 memory: 15300 grad_norm: 0.2285 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.8596 recall@top3: 0.9737 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 17:33:13 - mmengine - INFO - Epoch(train) [4][1760/2881] lr: 9.0329e-02 eta: 3:45:24 time: 0.6861 data_time: 0.0215 memory: 15376 grad_norm: 0.2078 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6000 recall@top3: 0.7208 prec@top3: 0.5667 recall@top5: 0.7833 prec@top5: 0.3800 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 17:33:27 - mmengine - INFO - Epoch(train) [4][1780/2881] lr: 9.0248e-02 eta: 3:45:09 time: 0.7260 data_time: 0.0236 memory: 15280 grad_norm: 0.2041 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.5982 recall@top3: 0.6875 prec@top3: 0.6310 recall@top5: 0.9196 prec@top5: 0.5286 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 17:33:41 - mmengine - INFO - Epoch(train) [4][1800/2881] lr: 9.0167e-02 eta: 3:44:53 time: 0.6964 data_time: 0.0228 memory: 15357 grad_norm: 0.2141 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.6898 recall@top3: 0.6796 prec@top3: 0.7037 recall@top5: 0.9426 prec@top5: 0.5556 loss_action_cls: 0.0408 loss: 0.0408 2022/08/10 17:33:56 - mmengine - INFO - Epoch(train) [4][1820/2881] lr: 9.0086e-02 eta: 3:44:39 time: 0.7583 data_time: 0.0247 memory: 15261 grad_norm: 0.2251 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.7701 recall@top3: 0.8276 prec@top3: 0.7701 recall@top5: 0.8908 prec@top5: 0.5034 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 17:34:10 - mmengine - INFO - Epoch(train) [4][1840/2881] lr: 9.0004e-02 eta: 3:44:22 time: 0.6727 data_time: 0.0230 memory: 15433 grad_norm: 0.2248 recall@thr=0.5: 0.7740 prec@thr=0.5: 0.8385 recall@top3: 0.7849 prec@top3: 0.8437 recall@top5: 0.9719 prec@top5: 0.6437 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 17:34:24 - mmengine - INFO - Epoch(train) [4][1860/2881] lr: 8.9922e-02 eta: 3:44:06 time: 0.6945 data_time: 0.0228 memory: 15376 grad_norm: 0.2064 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8146 recall@top3: 0.8586 prec@top3: 0.7677 recall@top5: 0.9747 prec@top5: 0.5333 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 17:34:38 - mmengine - INFO - Epoch(train) [4][1880/2881] lr: 8.9840e-02 eta: 3:43:50 time: 0.6863 data_time: 0.0276 memory: 15414 grad_norm: 0.1945 recall@thr=0.5: 0.7402 prec@thr=0.5: 0.7696 recall@top3: 0.7990 prec@top3: 0.7451 recall@top5: 0.9583 prec@top5: 0.5471 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 17:34:51 - mmengine - INFO - Epoch(train) [4][1900/2881] lr: 8.9757e-02 eta: 3:43:34 time: 0.6929 data_time: 0.0232 memory: 15414 grad_norm: 0.2287 recall@thr=0.5: 0.8939 prec@thr=0.5: 0.8939 recall@top3: 0.9394 prec@top3: 0.7424 recall@top5: 0.9697 prec@top5: 0.4636 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 17:35:07 - mmengine - INFO - Epoch(train) [4][1920/2881] lr: 8.9675e-02 eta: 3:43:20 time: 0.7627 data_time: 0.0208 memory: 15357 grad_norm: 0.2258 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.6333 recall@top3: 0.8250 prec@top3: 0.6167 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 17:35:21 - mmengine - INFO - Epoch(train) [4][1940/2881] lr: 8.9591e-02 eta: 3:43:04 time: 0.6959 data_time: 0.0252 memory: 15300 grad_norm: 0.2084 recall@thr=0.5: 0.5577 prec@thr=0.5: 0.6154 recall@top3: 0.8013 prec@top3: 0.6410 recall@top5: 0.8526 prec@top5: 0.4154 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 17:35:34 - mmengine - INFO - Epoch(train) [4][1960/2881] lr: 8.9508e-02 eta: 3:42:47 time: 0.6652 data_time: 0.0238 memory: 15395 grad_norm: 0.2081 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8106 recall@top3: 0.8220 prec@top3: 0.6212 recall@top5: 0.9129 prec@top5: 0.4273 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 17:35:48 - mmengine - INFO - Epoch(train) [4][1980/2881] lr: 8.9424e-02 eta: 3:42:31 time: 0.7081 data_time: 0.0262 memory: 15280 grad_norm: 0.2128 recall@thr=0.5: 0.5715 prec@thr=0.5: 0.7507 recall@top3: 0.6535 prec@top3: 0.6528 recall@top5: 0.9083 prec@top5: 0.5500 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 17:36:02 - mmengine - INFO - Epoch(train) [4][2000/2881] lr: 8.9340e-02 eta: 3:42:15 time: 0.6888 data_time: 0.0295 memory: 15433 grad_norm: 0.1981 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6875 recall@top3: 0.7857 prec@top3: 0.7024 recall@top5: 0.9405 prec@top5: 0.5000 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 17:36:15 - mmengine - INFO - Epoch(train) [4][2020/2881] lr: 8.9256e-02 eta: 3:41:59 time: 0.6798 data_time: 0.0259 memory: 15223 grad_norm: 0.1911 recall@thr=0.5: 0.4567 prec@thr=0.5: 0.5250 recall@top3: 0.6683 prec@top3: 0.5167 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 17:36:29 - mmengine - INFO - Epoch(train) [4][2040/2881] lr: 8.9172e-02 eta: 3:41:42 time: 0.6773 data_time: 0.0264 memory: 15338 grad_norm: 0.1959 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7807 recall@top3: 0.7105 prec@top3: 0.5789 recall@top5: 0.8421 prec@top5: 0.4316 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 17:36:43 - mmengine - INFO - Epoch(train) [4][2060/2881] lr: 8.9087e-02 eta: 3:41:26 time: 0.6975 data_time: 0.0271 memory: 15280 grad_norm: 0.2099 recall@thr=0.5: 0.5309 prec@thr=0.5: 0.7037 recall@top3: 0.7346 prec@top3: 0.6420 recall@top5: 0.9383 prec@top5: 0.4963 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 17:36:57 - mmengine - INFO - Epoch(train) [4][2080/2881] lr: 8.9002e-02 eta: 3:41:11 time: 0.7079 data_time: 0.0226 memory: 15338 grad_norm: 0.2081 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6500 recall@top3: 0.7500 prec@top3: 0.6167 recall@top5: 0.9833 prec@top5: 0.5000 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 17:37:11 - mmengine - INFO - Epoch(train) [4][2100/2881] lr: 8.8916e-02 eta: 3:40:54 time: 0.6882 data_time: 0.0228 memory: 15223 grad_norm: 0.2066 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.8620 recall@top3: 0.7917 prec@top3: 0.7292 recall@top5: 0.9062 prec@top5: 0.5062 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 17:37:26 - mmengine - INFO - Epoch(train) [4][2120/2881] lr: 8.8830e-02 eta: 3:40:40 time: 0.7457 data_time: 0.0243 memory: 15338 grad_norm: 0.1907 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7500 recall@top3: 0.8039 prec@top3: 0.6863 recall@top5: 0.8627 prec@top5: 0.4471 loss_action_cls: 0.0435 loss: 0.0435 2022/08/10 17:37:40 - mmengine - INFO - Epoch(train) [4][2140/2881] lr: 8.8744e-02 eta: 3:40:24 time: 0.6891 data_time: 0.0308 memory: 15261 grad_norm: 0.1902 recall@thr=0.5: 0.6469 prec@thr=0.5: 0.9062 recall@top3: 0.7365 prec@top3: 0.7708 recall@top5: 0.9375 prec@top5: 0.6125 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 17:37:57 - mmengine - INFO - Epoch(train) [4][2160/2881] lr: 8.8658e-02 eta: 3:40:14 time: 0.8788 data_time: 0.0291 memory: 15395 grad_norm: 0.2118 recall@thr=0.5: 0.7156 prec@thr=0.5: 0.8118 recall@top3: 0.7511 prec@top3: 0.7527 recall@top5: 0.8849 prec@top5: 0.5419 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 17:38:11 - mmengine - INFO - Epoch(train) [4][2180/2881] lr: 8.8571e-02 eta: 3:39:58 time: 0.6859 data_time: 0.0237 memory: 15414 grad_norm: 0.2107 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8077 recall@top3: 0.7436 prec@top3: 0.5897 recall@top5: 0.9051 prec@top5: 0.4385 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 17:38:27 - mmengine - INFO - Epoch(train) [4][2200/2881] lr: 8.8485e-02 eta: 3:39:46 time: 0.8124 data_time: 0.0246 memory: 15414 grad_norm: 0.2042 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.7972 recall@top3: 0.7833 prec@top3: 0.7222 recall@top5: 0.9383 prec@top5: 0.5400 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 17:38:40 - mmengine - INFO - Epoch(train) [4][2220/2881] lr: 8.8397e-02 eta: 3:39:29 time: 0.6650 data_time: 0.0273 memory: 15338 grad_norm: 0.2186 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.9038 recall@top3: 0.8526 prec@top3: 0.6795 recall@top5: 0.9167 prec@top5: 0.4538 loss_action_cls: 0.0387 loss: 0.0387 2022/08/10 17:38:54 - mmengine - INFO - Epoch(train) [4][2240/2881] lr: 8.8310e-02 eta: 3:39:12 time: 0.6785 data_time: 0.0253 memory: 15242 grad_norm: 0.2186 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6237 recall@top3: 0.7368 prec@top3: 0.5263 recall@top5: 0.8860 prec@top5: 0.4000 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 17:39:08 - mmengine - INFO - Epoch(train) [4][2260/2881] lr: 8.8222e-02 eta: 3:38:57 time: 0.6975 data_time: 0.0253 memory: 15204 grad_norm: 0.1981 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.8016 recall@top3: 0.8730 prec@top3: 0.6508 recall@top5: 1.0000 prec@top5: 0.4476 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 17:39:23 - mmengine - INFO - Epoch(train) [4][2280/2881] lr: 8.8134e-02 eta: 3:38:42 time: 0.7369 data_time: 0.0278 memory: 15184 grad_norm: 0.2002 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7750 recall@top3: 0.8808 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 17:39:36 - mmengine - INFO - Epoch(train) [4][2300/2881] lr: 8.8046e-02 eta: 3:38:26 time: 0.6847 data_time: 0.0210 memory: 15338 grad_norm: 0.2021 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8889 recall@top3: 0.8681 prec@top3: 0.6111 recall@top5: 0.8958 prec@top5: 0.3833 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 17:39:50 - mmengine - INFO - Epoch(train) [4][2320/2881] lr: 8.7957e-02 eta: 3:38:10 time: 0.6969 data_time: 0.0233 memory: 15548 grad_norm: 0.1933 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.5379 recall@top3: 0.6455 prec@top3: 0.5152 recall@top5: 0.8121 prec@top5: 0.4091 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 17:40:04 - mmengine - INFO - Epoch(train) [4][2340/2881] lr: 8.7869e-02 eta: 3:37:54 time: 0.7029 data_time: 0.0241 memory: 15242 grad_norm: 0.2091 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7431 recall@top3: 0.7708 prec@top3: 0.5556 recall@top5: 0.9236 prec@top5: 0.4000 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 17:40:17 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 17:40:19 - mmengine - INFO - Epoch(train) [4][2360/2881] lr: 8.7779e-02 eta: 3:37:40 time: 0.7457 data_time: 0.0270 memory: 15472 grad_norm: 0.2033 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8123 recall@top3: 0.8421 prec@top3: 0.7018 recall@top5: 0.9868 prec@top5: 0.5263 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 17:40:33 - mmengine - INFO - Epoch(train) [4][2380/2881] lr: 8.7690e-02 eta: 3:37:23 time: 0.6714 data_time: 0.0212 memory: 15529 grad_norm: 0.1956 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.6987 recall@top3: 0.8109 prec@top3: 0.6923 recall@top5: 0.9391 prec@top5: 0.4923 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 17:40:47 - mmengine - INFO - Epoch(train) [4][2400/2881] lr: 8.7600e-02 eta: 3:37:08 time: 0.7165 data_time: 0.0241 memory: 15414 grad_norm: 0.1969 recall@thr=0.5: 0.8859 prec@thr=0.5: 0.8942 recall@top3: 0.9308 prec@top3: 0.8205 recall@top5: 0.9718 prec@top5: 0.5231 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 17:41:05 - mmengine - INFO - Epoch(train) [4][2420/2881] lr: 8.7510e-02 eta: 3:36:59 time: 0.9085 data_time: 0.0236 memory: 15452 grad_norm: 0.2040 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7917 recall@top3: 0.7750 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 17:41:19 - mmengine - INFO - Epoch(train) [4][2440/2881] lr: 8.7420e-02 eta: 3:36:43 time: 0.6873 data_time: 0.0239 memory: 15433 grad_norm: 0.2266 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8395 recall@top3: 0.7963 prec@top3: 0.6790 recall@top5: 0.9568 prec@top5: 0.5111 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 17:41:34 - mmengine - INFO - Epoch(train) [4][2460/2881] lr: 8.7329e-02 eta: 3:36:28 time: 0.7351 data_time: 0.0217 memory: 15376 grad_norm: 0.2202 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.9500 recall@top3: 0.8917 prec@top3: 0.8167 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 17:41:51 - mmengine - INFO - Epoch(train) [4][2480/2881] lr: 8.7239e-02 eta: 3:36:18 time: 0.8786 data_time: 0.2036 memory: 15338 grad_norm: 0.2016 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.7609 recall@top3: 0.7536 prec@top3: 0.6232 recall@top5: 0.9312 prec@top5: 0.4783 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 17:42:06 - mmengine - INFO - Epoch(train) [4][2500/2881] lr: 8.7148e-02 eta: 3:36:03 time: 0.7346 data_time: 0.0212 memory: 15338 grad_norm: 0.2069 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.8397 recall@top3: 0.7372 prec@top3: 0.5897 recall@top5: 0.9167 prec@top5: 0.4615 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 17:42:21 - mmengine - INFO - Epoch(train) [4][2520/2881] lr: 8.7056e-02 eta: 3:35:49 time: 0.7345 data_time: 0.0272 memory: 15376 grad_norm: 0.2076 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8529 recall@top3: 0.7745 prec@top3: 0.5686 recall@top5: 0.9216 prec@top5: 0.4235 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 17:42:36 - mmengine - INFO - Epoch(train) [4][2540/2881] lr: 8.6964e-02 eta: 3:35:35 time: 0.7454 data_time: 0.0208 memory: 15261 grad_norm: 0.2011 recall@thr=0.5: 0.9216 prec@thr=0.5: 0.8333 recall@top3: 0.9804 prec@top3: 0.6863 recall@top5: 0.9804 prec@top5: 0.4118 loss_action_cls: 0.0400 loss: 0.0400 2022/08/10 17:42:52 - mmengine - INFO - Epoch(train) [4][2560/2881] lr: 8.6873e-02 eta: 3:35:23 time: 0.8335 data_time: 0.0233 memory: 15376 grad_norm: 0.1887 recall@thr=0.5: 0.6711 prec@thr=0.5: 0.8728 recall@top3: 0.7851 prec@top3: 0.7018 recall@top5: 0.9561 prec@top5: 0.5368 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 17:43:08 - mmengine - INFO - Epoch(train) [4][2580/2881] lr: 8.6780e-02 eta: 3:35:09 time: 0.7659 data_time: 0.0238 memory: 15491 grad_norm: 0.1878 recall@thr=0.5: 0.6472 prec@thr=0.5: 0.7708 recall@top3: 0.7306 prec@top3: 0.6250 recall@top5: 0.8361 prec@top5: 0.4417 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 17:43:21 - mmengine - INFO - Epoch(train) [4][2600/2881] lr: 8.6688e-02 eta: 3:34:54 time: 0.6986 data_time: 0.0285 memory: 15357 grad_norm: 0.1955 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8750 recall@top3: 0.8611 prec@top3: 0.6389 recall@top5: 0.9792 prec@top5: 0.4667 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 17:43:35 - mmengine - INFO - Epoch(train) [4][2620/2881] lr: 8.6595e-02 eta: 3:34:37 time: 0.6870 data_time: 0.0199 memory: 15318 grad_norm: 0.1872 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7143 recall@top3: 0.8333 prec@top3: 0.5714 recall@top5: 0.9048 prec@top5: 0.3714 loss_action_cls: 0.0410 loss: 0.0410 2022/08/10 17:43:49 - mmengine - INFO - Epoch(train) [4][2640/2881] lr: 8.6502e-02 eta: 3:34:21 time: 0.6895 data_time: 0.0226 memory: 15184 grad_norm: 0.1939 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.9015 recall@top3: 0.8750 prec@top3: 0.8788 recall@top5: 0.9773 prec@top5: 0.6091 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 17:44:03 - mmengine - INFO - Epoch(train) [4][2660/2881] lr: 8.6409e-02 eta: 3:34:05 time: 0.6787 data_time: 0.0206 memory: 15414 grad_norm: 0.1928 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.7353 recall@top3: 0.8137 prec@top3: 0.6078 recall@top5: 0.8676 prec@top5: 0.4000 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 17:44:17 - mmengine - INFO - Epoch(train) [4][2680/2881] lr: 8.6315e-02 eta: 3:33:50 time: 0.7121 data_time: 0.0262 memory: 15280 grad_norm: 0.2076 recall@thr=0.5: 0.7768 prec@thr=0.5: 0.9203 recall@top3: 0.7514 prec@top3: 0.8261 recall@top5: 0.9203 prec@top5: 0.6261 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 17:44:30 - mmengine - INFO - Epoch(train) [4][2700/2881] lr: 8.6221e-02 eta: 3:33:33 time: 0.6783 data_time: 0.0234 memory: 15242 grad_norm: 0.2159 recall@thr=0.5: 0.7697 prec@thr=0.5: 0.7879 recall@top3: 0.8197 prec@top3: 0.7576 recall@top5: 0.9621 prec@top5: 0.5636 loss_action_cls: 0.0402 loss: 0.0402 2022/08/10 17:44:46 - mmengine - INFO - Epoch(train) [4][2720/2881] lr: 8.6127e-02 eta: 3:33:20 time: 0.7660 data_time: 0.0239 memory: 15395 grad_norm: 0.2127 recall@thr=0.5: 0.6572 prec@thr=0.5: 0.6341 recall@top3: 0.7659 prec@top3: 0.6232 recall@top5: 0.8449 prec@top5: 0.4348 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 17:45:00 - mmengine - INFO - Epoch(train) [4][2740/2881] lr: 8.6033e-02 eta: 3:33:05 time: 0.7306 data_time: 0.0276 memory: 15548 grad_norm: 0.2015 recall@thr=0.5: 0.8185 prec@thr=0.5: 0.8889 recall@top3: 0.8407 prec@top3: 0.7778 recall@top5: 0.8926 prec@top5: 0.5111 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 17:45:15 - mmengine - INFO - Epoch(train) [4][2760/2881] lr: 8.5938e-02 eta: 3:32:50 time: 0.7159 data_time: 0.0224 memory: 15357 grad_norm: 0.2011 recall@thr=0.5: 0.5590 prec@thr=0.5: 0.6778 recall@top3: 0.6215 prec@top3: 0.5972 recall@top5: 0.8438 prec@top5: 0.4333 loss_action_cls: 0.0409 loss: 0.0409 2022/08/10 17:45:29 - mmengine - INFO - Epoch(train) [4][2780/2881] lr: 8.5843e-02 eta: 3:32:35 time: 0.7389 data_time: 0.0237 memory: 15261 grad_norm: 0.1957 recall@thr=0.5: 0.7897 prec@thr=0.5: 0.8175 recall@top3: 0.8611 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 17:45:44 - mmengine - INFO - Epoch(train) [4][2800/2881] lr: 8.5748e-02 eta: 3:32:21 time: 0.7437 data_time: 0.0273 memory: 15414 grad_norm: 0.1953 recall@thr=0.5: 0.6297 prec@thr=0.5: 0.7971 recall@top3: 0.7087 prec@top3: 0.6667 recall@top5: 0.9072 prec@top5: 0.4957 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 17:45:58 - mmengine - INFO - Epoch(train) [4][2820/2881] lr: 8.5653e-02 eta: 3:32:05 time: 0.7013 data_time: 0.0257 memory: 15223 grad_norm: 0.2159 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8148 recall@top3: 0.7889 prec@top3: 0.6296 recall@top5: 0.8778 prec@top5: 0.4556 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 17:46:13 - mmengine - INFO - Epoch(train) [4][2840/2881] lr: 8.5557e-02 eta: 3:31:50 time: 0.7237 data_time: 0.0317 memory: 15357 grad_norm: 0.1913 recall@thr=0.5: 0.4053 prec@thr=0.5: 0.6742 recall@top3: 0.5833 prec@top3: 0.5606 recall@top5: 0.8864 prec@top5: 0.4909 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 17:46:27 - mmengine - INFO - Epoch(train) [4][2860/2881] lr: 8.5461e-02 eta: 3:31:35 time: 0.7105 data_time: 0.0255 memory: 15223 grad_norm: 0.2047 recall@thr=0.5: 0.8345 prec@thr=0.5: 0.8726 recall@top3: 0.8821 prec@top3: 0.8571 recall@top5: 0.9738 prec@top5: 0.5857 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 17:46:41 - mmengine - INFO - Epoch(train) [4][2880/2881] lr: 8.5365e-02 eta: 3:31:18 time: 0.6820 data_time: 0.0245 memory: 15548 grad_norm: 0.2017 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.8841 recall@top3: 0.8370 prec@top3: 0.7391 recall@top5: 0.9710 prec@top5: 0.5304 loss_action_cls: 0.0419 loss: 0.0419 2022/08/10 17:46:41 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 17:46:41 - mmengine - INFO - Epoch(train) [4][2881/2881] lr: 8.5360e-02 eta: 3:31:18 time: 0.6755 data_time: 0.0228 memory: 14974 grad_norm: 0.2047 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.8873 recall@top3: 0.8529 prec@top3: 0.7647 recall@top5: 0.9216 prec@top5: 0.5059 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 17:46:41 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/10 17:46:53 - mmengine - INFO - Epoch(val) [4][20/6282] eta: 0:06:31 time: 0.0625 data_time: 0.0167 memory: 1670 2022/08/10 17:46:54 - mmengine - INFO - Epoch(val) [4][40/6282] eta: 0:04:40 time: 0.0450 data_time: 0.0028 memory: 1670 2022/08/10 17:46:55 - mmengine - INFO - Epoch(val) [4][60/6282] eta: 0:05:07 time: 0.0494 data_time: 0.0045 memory: 1670 2022/08/10 17:46:57 - mmengine - INFO - Epoch(val) [4][80/6282] eta: 0:06:16 time: 0.0607 data_time: 0.0066 memory: 1670 2022/08/10 17:46:58 - mmengine - INFO - Epoch(val) [4][100/6282] eta: 0:05:34 time: 0.0541 data_time: 0.0041 memory: 1670 2022/08/10 17:46:59 - mmengine - INFO - Epoch(val) [4][120/6282] eta: 0:06:47 time: 0.0661 data_time: 0.0045 memory: 1704 2022/08/10 17:47:00 - mmengine - INFO - Epoch(val) [4][140/6282] eta: 0:07:17 time: 0.0712 data_time: 0.0049 memory: 1704 2022/08/10 17:47:02 - mmengine - INFO - Epoch(val) [4][160/6282] eta: 0:07:31 time: 0.0738 data_time: 0.0059 memory: 1704 2022/08/10 17:47:03 - mmengine - INFO - Epoch(val) [4][180/6282] eta: 0:07:57 time: 0.0783 data_time: 0.0065 memory: 1704 2022/08/10 17:47:05 - mmengine - INFO - Epoch(val) [4][200/6282] eta: 0:07:04 time: 0.0698 data_time: 0.0048 memory: 1704 2022/08/10 17:47:07 - mmengine - INFO - Epoch(val) [4][220/6282] eta: 0:08:55 time: 0.0884 data_time: 0.0037 memory: 1677 2022/08/10 17:47:08 - mmengine - INFO - Epoch(val) [4][240/6282] eta: 0:06:23 time: 0.0634 data_time: 0.0052 memory: 1677 2022/08/10 17:47:09 - mmengine - INFO - Epoch(val) [4][260/6282] eta: 0:06:13 time: 0.0620 data_time: 0.0045 memory: 1677 2022/08/10 17:47:10 - mmengine - INFO - Epoch(val) [4][280/6282] eta: 0:06:26 time: 0.0644 data_time: 0.0051 memory: 1677 2022/08/10 17:47:12 - mmengine - INFO - Epoch(val) [4][300/6282] eta: 0:06:52 time: 0.0689 data_time: 0.0058 memory: 1704 2022/08/10 17:47:13 - mmengine - INFO - Epoch(val) [4][320/6282] eta: 0:07:28 time: 0.0753 data_time: 0.0046 memory: 1906 2022/08/10 17:47:15 - mmengine - INFO - Epoch(val) [4][340/6282] eta: 0:07:21 time: 0.0742 data_time: 0.0049 memory: 1774 2022/08/10 17:47:16 - mmengine - INFO - Epoch(val) [4][360/6282] eta: 0:08:04 time: 0.0818 data_time: 0.0040 memory: 1840 2022/08/10 17:47:20 - mmengine - INFO - Epoch(val) [4][380/6282] eta: 0:15:42 time: 0.1597 data_time: 0.0772 memory: 1840 2022/08/10 17:47:27 - mmengine - INFO - Epoch(val) [4][400/6282] eta: 0:38:30 time: 0.3927 data_time: 0.3316 memory: 1704 2022/08/10 17:47:29 - mmengine - INFO - Epoch(val) [4][420/6282] eta: 0:05:25 time: 0.0555 data_time: 0.0036 memory: 1677 2022/08/10 17:47:30 - mmengine - INFO - Epoch(val) [4][440/6282] eta: 0:06:08 time: 0.0631 data_time: 0.0048 memory: 1677 2022/08/10 17:47:36 - mmengine - INFO - Epoch(val) [4][460/6282] eta: 0:31:14 time: 0.3219 data_time: 0.2666 memory: 1677 2022/08/10 17:47:37 - mmengine - INFO - Epoch(val) [4][480/6282] eta: 0:05:13 time: 0.0541 data_time: 0.0035 memory: 1677 2022/08/10 17:47:38 - mmengine - INFO - Epoch(val) [4][500/6282] eta: 0:05:24 time: 0.0561 data_time: 0.0037 memory: 1677 2022/08/10 17:47:40 - mmengine - INFO - Epoch(val) [4][520/6282] eta: 0:05:16 time: 0.0549 data_time: 0.0034 memory: 1677 2022/08/10 17:47:41 - mmengine - INFO - Epoch(val) [4][540/6282] eta: 0:05:30 time: 0.0575 data_time: 0.0038 memory: 1677 2022/08/10 17:47:42 - mmengine - INFO - Epoch(val) [4][560/6282] eta: 0:05:50 time: 0.0612 data_time: 0.0030 memory: 1677 2022/08/10 17:47:43 - mmengine - INFO - Epoch(val) [4][580/6282] eta: 0:05:27 time: 0.0575 data_time: 0.0036 memory: 1677 2022/08/10 17:47:44 - mmengine - INFO - Epoch(val) [4][600/6282] eta: 0:05:29 time: 0.0580 data_time: 0.0038 memory: 1677 2022/08/10 17:47:45 - mmengine - INFO - Epoch(val) [4][620/6282] eta: 0:05:18 time: 0.0563 data_time: 0.0037 memory: 1677 2022/08/10 17:47:47 - mmengine - INFO - Epoch(val) [4][640/6282] eta: 0:06:07 time: 0.0652 data_time: 0.0060 memory: 1675 2022/08/10 17:47:48 - mmengine - INFO - Epoch(val) [4][660/6282] eta: 0:06:26 time: 0.0687 data_time: 0.0235 memory: 1675 2022/08/10 17:47:50 - mmengine - INFO - Epoch(val) [4][680/6282] eta: 0:09:50 time: 0.1054 data_time: 0.0574 memory: 1675 2022/08/10 17:47:52 - mmengine - INFO - Epoch(val) [4][700/6282] eta: 0:06:58 time: 0.0750 data_time: 0.0202 memory: 1675 2022/08/10 17:47:54 - mmengine - INFO - Epoch(val) [4][720/6282] eta: 0:10:22 time: 0.1118 data_time: 0.0385 memory: 1939 2022/08/10 17:47:57 - mmengine - INFO - Epoch(val) [4][740/6282] eta: 0:13:30 time: 0.1463 data_time: 0.0675 memory: 1807 2022/08/10 17:47:59 - mmengine - INFO - Epoch(val) [4][760/6282] eta: 0:11:33 time: 0.1256 data_time: 0.0554 memory: 1774 2022/08/10 17:48:03 - mmengine - INFO - Epoch(val) [4][780/6282] eta: 0:14:48 time: 0.1615 data_time: 0.0923 memory: 1704 2022/08/10 17:48:05 - mmengine - INFO - Epoch(val) [4][800/6282] eta: 0:12:18 time: 0.1347 data_time: 0.0686 memory: 1704 2022/08/10 17:48:07 - mmengine - INFO - Epoch(val) [4][820/6282] eta: 0:08:12 time: 0.0902 data_time: 0.0320 memory: 1704 2022/08/10 17:48:08 - mmengine - INFO - Epoch(val) [4][840/6282] eta: 0:05:31 time: 0.0610 data_time: 0.0037 memory: 1722 2022/08/10 17:48:10 - mmengine - INFO - Epoch(val) [4][860/6282] eta: 0:05:26 time: 0.0603 data_time: 0.0042 memory: 1677 2022/08/10 17:48:11 - mmengine - INFO - Epoch(val) [4][880/6282] eta: 0:05:35 time: 0.0621 data_time: 0.0049 memory: 1677 2022/08/10 17:48:12 - mmengine - INFO - Epoch(val) [4][900/6282] eta: 0:05:20 time: 0.0596 data_time: 0.0040 memory: 1677 2022/08/10 17:48:13 - mmengine - INFO - Epoch(val) [4][920/6282] eta: 0:05:27 time: 0.0610 data_time: 0.0039 memory: 1697 2022/08/10 17:48:14 - mmengine - INFO - Epoch(val) [4][940/6282] eta: 0:04:48 time: 0.0539 data_time: 0.0045 memory: 1670 2022/08/10 17:48:15 - mmengine - INFO - Epoch(val) [4][960/6282] eta: 0:04:30 time: 0.0508 data_time: 0.0037 memory: 1670 2022/08/10 17:48:17 - mmengine - INFO - Epoch(val) [4][980/6282] eta: 0:06:52 time: 0.0779 data_time: 0.0088 memory: 1670 2022/08/10 17:48:18 - mmengine - INFO - Epoch(val) [4][1000/6282] eta: 0:04:44 time: 0.0539 data_time: 0.0034 memory: 1670 2022/08/10 17:48:21 - mmengine - INFO - Epoch(val) [4][1020/6282] eta: 0:11:17 time: 0.1287 data_time: 0.0815 memory: 1670 2022/08/10 17:48:22 - mmengine - INFO - Epoch(val) [4][1040/6282] eta: 0:06:15 time: 0.0717 data_time: 0.0219 memory: 1677 2022/08/10 17:48:23 - mmengine - INFO - Epoch(val) [4][1060/6282] eta: 0:06:19 time: 0.0728 data_time: 0.0229 memory: 1677 2022/08/10 17:48:25 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:04:53 time: 0.0564 data_time: 0.0038 memory: 1677 2022/08/10 17:48:26 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:04:26 time: 0.0514 data_time: 0.0030 memory: 1677 2022/08/10 17:48:27 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:04:44 time: 0.0551 data_time: 0.0034 memory: 1677 2022/08/10 17:48:28 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:04:44 time: 0.0554 data_time: 0.0036 memory: 1677 2022/08/10 17:48:29 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:04:55 time: 0.0578 data_time: 0.0036 memory: 1677 2022/08/10 17:48:30 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:04:44 time: 0.0557 data_time: 0.0037 memory: 1677 2022/08/10 17:48:31 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:04:41 time: 0.0554 data_time: 0.0031 memory: 1747 2022/08/10 17:48:32 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:05:05 time: 0.0604 data_time: 0.0034 memory: 1677 2022/08/10 17:48:37 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:17:54 time: 0.2131 data_time: 0.1118 memory: 1704 2022/08/10 17:48:40 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:14:34 time: 0.1742 data_time: 0.1129 memory: 1704 2022/08/10 17:48:43 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:13:19 time: 0.1598 data_time: 0.0975 memory: 1704 2022/08/10 17:48:46 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:10:35 time: 0.1276 data_time: 0.0612 memory: 1704 2022/08/10 17:48:49 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:12:35 time: 0.1523 data_time: 0.0662 memory: 1704 2022/08/10 17:48:52 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:10:27 time: 0.1270 data_time: 0.0597 memory: 1704 2022/08/10 17:48:54 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:12:01 time: 0.1465 data_time: 0.0822 memory: 1704 2022/08/10 17:48:57 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:09:12 time: 0.1127 data_time: 0.0387 memory: 1704 2022/08/10 17:49:00 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:11:46 time: 0.1447 data_time: 0.0803 memory: 1704 2022/08/10 17:49:02 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:10:00 time: 0.1235 data_time: 0.0608 memory: 1704 2022/08/10 17:49:03 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:05:33 time: 0.0689 data_time: 0.0033 memory: 1715 2022/08/10 17:49:05 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:05:50 time: 0.0726 data_time: 0.0038 memory: 1873 2022/08/10 17:49:08 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:10:21 time: 0.1295 data_time: 0.0475 memory: 1807 2022/08/10 17:49:09 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:06:00 time: 0.0755 data_time: 0.0105 memory: 1807 2022/08/10 17:49:11 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:05:59 time: 0.0754 data_time: 0.0100 memory: 1798 2022/08/10 17:49:12 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:07:45 time: 0.0982 data_time: 0.0160 memory: 1798 2022/08/10 17:49:14 - mmengine - INFO - Epoch(val) [4][1560/6282] eta: 0:06:40 time: 0.0849 data_time: 0.0056 memory: 1798 2022/08/10 17:49:16 - mmengine - INFO - Epoch(val) [4][1580/6282] eta: 0:08:24 time: 0.1074 data_time: 0.0079 memory: 1798 2022/08/10 17:49:18 - mmengine - INFO - Epoch(val) [4][1600/6282] eta: 0:08:12 time: 0.1053 data_time: 0.0051 memory: 1798 2022/08/10 17:49:20 - mmengine - INFO - Epoch(val) [4][1620/6282] eta: 0:06:35 time: 0.0848 data_time: 0.0053 memory: 1798 2022/08/10 17:49:22 - mmengine - INFO - Epoch(val) [4][1640/6282] eta: 0:05:58 time: 0.0772 data_time: 0.0043 memory: 1840 2022/08/10 17:49:23 - mmengine - INFO - Epoch(val) [4][1660/6282] eta: 0:05:28 time: 0.0710 data_time: 0.0048 memory: 1704 2022/08/10 17:49:24 - mmengine - INFO - Epoch(val) [4][1680/6282] eta: 0:05:14 time: 0.0682 data_time: 0.0041 memory: 1704 2022/08/10 17:49:26 - mmengine - INFO - Epoch(val) [4][1700/6282] eta: 0:05:37 time: 0.0737 data_time: 0.0048 memory: 1939 2022/08/10 17:49:28 - mmengine - INFO - Epoch(val) [4][1720/6282] eta: 0:06:08 time: 0.0807 data_time: 0.0075 memory: 1973 2022/08/10 17:49:29 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:05:15 time: 0.0695 data_time: 0.0041 memory: 1704 2022/08/10 17:49:30 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:05:10 time: 0.0687 data_time: 0.0042 memory: 1704 2022/08/10 17:49:32 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:05:18 time: 0.0707 data_time: 0.0043 memory: 1704 2022/08/10 17:49:33 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:05:38 time: 0.0756 data_time: 0.0059 memory: 1807 2022/08/10 17:49:35 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:05:38 time: 0.0760 data_time: 0.0038 memory: 1774 2022/08/10 17:49:37 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:08:55 time: 0.1206 data_time: 0.0056 memory: 1704 2022/08/10 17:49:39 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:07:57 time: 0.1080 data_time: 0.0429 memory: 1704 2022/08/10 17:49:42 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:10:16 time: 0.1401 data_time: 0.0749 memory: 1704 2022/08/10 17:49:45 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:09:30 time: 0.1303 data_time: 0.0647 memory: 1704 2022/08/10 17:49:48 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:10:01 time: 0.1380 data_time: 0.0685 memory: 1704 2022/08/10 17:49:50 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:07:32 time: 0.1043 data_time: 0.0417 memory: 1704 2022/08/10 17:49:51 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:04:00 time: 0.0557 data_time: 0.0042 memory: 1677 2022/08/10 17:49:52 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:04:01 time: 0.0562 data_time: 0.0052 memory: 1677 2022/08/10 17:49:53 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:03:59 time: 0.0559 data_time: 0.0047 memory: 1677 2022/08/10 17:49:54 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:04:14 time: 0.0597 data_time: 0.0051 memory: 1677 2022/08/10 17:49:55 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:04:17 time: 0.0607 data_time: 0.0061 memory: 1677 2022/08/10 17:49:57 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:05:12 time: 0.0739 data_time: 0.0041 memory: 1677 2022/08/10 17:49:58 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:03:54 time: 0.0557 data_time: 0.0055 memory: 1677 2022/08/10 17:49:59 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:04:00 time: 0.0575 data_time: 0.0046 memory: 1677 2022/08/10 17:50:00 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:03:47 time: 0.0546 data_time: 0.0040 memory: 1677 2022/08/10 17:50:01 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:04:04 time: 0.0591 data_time: 0.0048 memory: 1697 2022/08/10 17:50:03 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:04:05 time: 0.0594 data_time: 0.0043 memory: 1677 2022/08/10 17:50:04 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:04:08 time: 0.0605 data_time: 0.0034 memory: 1677 2022/08/10 17:50:05 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:04:30 time: 0.0662 data_time: 0.0065 memory: 1677 2022/08/10 17:50:06 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:04:00 time: 0.0592 data_time: 0.0053 memory: 1677 2022/08/10 17:50:08 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:04:27 time: 0.0662 data_time: 0.0072 memory: 1677 2022/08/10 17:50:09 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:04:16 time: 0.0638 data_time: 0.0047 memory: 1677 2022/08/10 17:50:10 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:04:19 time: 0.0649 data_time: 0.0064 memory: 1698 2022/08/10 17:50:11 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:03:55 time: 0.0591 data_time: 0.0047 memory: 1677 2022/08/10 17:50:13 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:04:02 time: 0.0612 data_time: 0.0045 memory: 1677 2022/08/10 17:50:14 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:03:50 time: 0.0585 data_time: 0.0042 memory: 1677 2022/08/10 17:50:15 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:03:48 time: 0.0582 data_time: 0.0044 memory: 1677 2022/08/10 17:50:17 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:06:22 time: 0.0981 data_time: 0.0051 memory: 1677 2022/08/10 17:50:18 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:03:47 time: 0.0586 data_time: 0.0047 memory: 1677 2022/08/10 17:50:19 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:03:41 time: 0.0574 data_time: 0.0039 memory: 1677 2022/08/10 17:50:21 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:03:43 time: 0.0581 data_time: 0.0040 memory: 1677 2022/08/10 17:50:22 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:04:54 time: 0.0769 data_time: 0.0138 memory: 1704 2022/08/10 17:50:24 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:04:58 time: 0.0785 data_time: 0.0091 memory: 1704 2022/08/10 17:50:25 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:05:23 time: 0.0857 data_time: 0.0222 memory: 1704 2022/08/10 17:50:27 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:05:47 time: 0.0922 data_time: 0.0233 memory: 1774 2022/08/10 17:50:30 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:07:30 time: 0.1204 data_time: 0.0507 memory: 1939 2022/08/10 17:50:33 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:09:28 time: 0.1527 data_time: 0.0855 memory: 1704 2022/08/10 17:50:36 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:09:11 time: 0.1490 data_time: 0.0828 memory: 1704 2022/08/10 17:50:38 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:06:54 time: 0.1124 data_time: 0.0153 memory: 1715 2022/08/10 17:50:40 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:07:52 time: 0.1290 data_time: 0.0600 memory: 1704 2022/08/10 17:50:43 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:08:59 time: 0.1481 data_time: 0.0796 memory: 1704 2022/08/10 17:50:45 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:05:08 time: 0.0851 data_time: 0.0061 memory: 1788 2022/08/10 17:50:47 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:05:20 time: 0.0890 data_time: 0.0057 memory: 1788 2022/08/10 17:50:49 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:05:18 time: 0.0889 data_time: 0.0071 memory: 1788 2022/08/10 17:50:51 - mmengine - INFO - Epoch(val) [4][2720/6282] eta: 0:05:18 time: 0.0895 data_time: 0.0055 memory: 1788 2022/08/10 17:50:53 - mmengine - INFO - Epoch(val) [4][2740/6282] eta: 0:05:59 time: 0.1014 data_time: 0.0054 memory: 1797 2022/08/10 17:50:54 - mmengine - INFO - Epoch(val) [4][2760/6282] eta: 0:03:30 time: 0.0597 data_time: 0.0047 memory: 1677 2022/08/10 17:50:55 - mmengine - INFO - Epoch(val) [4][2780/6282] eta: 0:03:31 time: 0.0604 data_time: 0.0056 memory: 1677 2022/08/10 17:50:56 - mmengine - INFO - Epoch(val) [4][2800/6282] eta: 0:03:54 time: 0.0675 data_time: 0.0061 memory: 1631 2022/08/10 17:50:57 - mmengine - INFO - Epoch(val) [4][2820/6282] eta: 0:03:22 time: 0.0586 data_time: 0.0048 memory: 1677 2022/08/10 17:50:59 - mmengine - INFO - Epoch(val) [4][2840/6282] eta: 0:03:24 time: 0.0593 data_time: 0.0038 memory: 1631 2022/08/10 17:51:00 - mmengine - INFO - Epoch(val) [4][2860/6282] eta: 0:03:38 time: 0.0640 data_time: 0.0047 memory: 1704 2022/08/10 17:51:01 - mmengine - INFO - Epoch(val) [4][2880/6282] eta: 0:03:57 time: 0.0699 data_time: 0.0046 memory: 1704 2022/08/10 17:51:03 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:04:06 time: 0.0729 data_time: 0.0051 memory: 1704 2022/08/10 17:51:04 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:03:32 time: 0.0633 data_time: 0.0038 memory: 1704 2022/08/10 17:51:05 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:03:27 time: 0.0620 data_time: 0.0034 memory: 1688 2022/08/10 17:51:07 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:05:29 time: 0.0991 data_time: 0.0045 memory: 1688 2022/08/10 17:51:09 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:03:38 time: 0.0661 data_time: 0.0049 memory: 1688 2022/08/10 17:51:10 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:03:42 time: 0.0677 data_time: 0.0048 memory: 1688 2022/08/10 17:51:12 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:04:10 time: 0.0767 data_time: 0.0048 memory: 1704 2022/08/10 17:51:13 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:03:55 time: 0.0725 data_time: 0.0045 memory: 1715 2022/08/10 17:51:16 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:07:01 time: 0.1308 data_time: 0.0665 memory: 1774 2022/08/10 17:51:18 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:05:01 time: 0.0941 data_time: 0.0053 memory: 1704 2022/08/10 17:51:19 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:03:25 time: 0.0647 data_time: 0.0037 memory: 1704 2022/08/10 17:51:20 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:03:38 time: 0.0690 data_time: 0.0193 memory: 1677 2022/08/10 17:51:21 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:02:57 time: 0.0566 data_time: 0.0037 memory: 1677 2022/08/10 17:51:23 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:03:04 time: 0.0590 data_time: 0.0046 memory: 1677 2022/08/10 17:51:24 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:02:53 time: 0.0559 data_time: 0.0047 memory: 1677 2022/08/10 17:51:25 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:03:23 time: 0.0660 data_time: 0.0073 memory: 1704 2022/08/10 17:51:26 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:03:38 time: 0.0713 data_time: 0.0059 memory: 1704 2022/08/10 17:51:28 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:03:22 time: 0.0666 data_time: 0.0058 memory: 1704 2022/08/10 17:51:29 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:03:31 time: 0.0700 data_time: 0.0057 memory: 1704 2022/08/10 17:51:31 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:03:30 time: 0.0700 data_time: 0.0044 memory: 1704 2022/08/10 17:51:32 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:03:45 time: 0.0755 data_time: 0.0041 memory: 1695 2022/08/10 17:51:33 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:03:29 time: 0.0707 data_time: 0.0042 memory: 1704 2022/08/10 17:51:35 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:03:36 time: 0.0736 data_time: 0.0044 memory: 1715 2022/08/10 17:51:37 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:05:28 time: 0.1125 data_time: 0.0043 memory: 1704 2022/08/10 17:51:38 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:03:05 time: 0.0641 data_time: 0.0045 memory: 1704 2022/08/10 17:51:40 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:02:46 time: 0.0579 data_time: 0.0030 memory: 1722 2022/08/10 17:51:41 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:02:45 time: 0.0580 data_time: 0.0037 memory: 1677 2022/08/10 17:51:42 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:02:50 time: 0.0600 data_time: 0.0060 memory: 1677 2022/08/10 17:51:43 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:03:11 time: 0.0678 data_time: 0.0058 memory: 1677 2022/08/10 17:51:45 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:03:01 time: 0.0647 data_time: 0.0047 memory: 1722 2022/08/10 17:51:46 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:02:39 time: 0.0572 data_time: 0.0046 memory: 1677 2022/08/10 17:51:47 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:02:46 time: 0.0604 data_time: 0.0065 memory: 1677 2022/08/10 17:51:48 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:02:41 time: 0.0588 data_time: 0.0053 memory: 1677 2022/08/10 17:51:49 - mmengine - INFO - Epoch(val) [4][3560/6282] eta: 0:02:50 time: 0.0626 data_time: 0.0047 memory: 1677 2022/08/10 17:51:51 - mmengine - INFO - Epoch(val) [4][3580/6282] eta: 0:02:45 time: 0.0613 data_time: 0.0046 memory: 1696 2022/08/10 17:51:52 - mmengine - INFO - Epoch(val) [4][3600/6282] eta: 0:03:03 time: 0.0684 data_time: 0.0054 memory: 1696 2022/08/10 17:51:54 - mmengine - INFO - Epoch(val) [4][3620/6282] eta: 0:03:21 time: 0.0755 data_time: 0.0042 memory: 1845 2022/08/10 17:51:55 - mmengine - INFO - Epoch(val) [4][3640/6282] eta: 0:03:05 time: 0.0702 data_time: 0.0048 memory: 1696 2022/08/10 17:51:57 - mmengine - INFO - Epoch(val) [4][3660/6282] eta: 0:04:20 time: 0.0995 data_time: 0.0054 memory: 1696 2022/08/10 17:51:58 - mmengine - INFO - Epoch(val) [4][3680/6282] eta: 0:03:10 time: 0.0733 data_time: 0.0056 memory: 1704 2022/08/10 17:52:00 - mmengine - INFO - Epoch(val) [4][3700/6282] eta: 0:03:43 time: 0.0866 data_time: 0.0182 memory: 1704 2022/08/10 17:52:02 - mmengine - INFO - Epoch(val) [4][3720/6282] eta: 0:04:04 time: 0.0954 data_time: 0.0284 memory: 1704 2022/08/10 17:52:04 - mmengine - INFO - Epoch(val) [4][3740/6282] eta: 0:03:35 time: 0.0849 data_time: 0.0206 memory: 1704 2022/08/10 17:52:05 - mmengine - INFO - Epoch(val) [4][3760/6282] eta: 0:03:28 time: 0.0828 data_time: 0.0146 memory: 1704 2022/08/10 17:52:07 - mmengine - INFO - Epoch(val) [4][3780/6282] eta: 0:03:34 time: 0.0858 data_time: 0.0167 memory: 1704 2022/08/10 17:52:09 - mmengine - INFO - Epoch(val) [4][3800/6282] eta: 0:03:25 time: 0.0827 data_time: 0.0132 memory: 1704 2022/08/10 17:52:10 - mmengine - INFO - Epoch(val) [4][3820/6282] eta: 0:03:15 time: 0.0793 data_time: 0.0118 memory: 1704 2022/08/10 17:52:12 - mmengine - INFO - Epoch(val) [4][3840/6282] eta: 0:02:54 time: 0.0713 data_time: 0.0044 memory: 1704 2022/08/10 17:52:14 - mmengine - INFO - Epoch(val) [4][3860/6282] eta: 0:04:36 time: 0.1141 data_time: 0.0551 memory: 1704 2022/08/10 17:52:16 - mmengine - INFO - Epoch(val) [4][3880/6282] eta: 0:04:35 time: 0.1147 data_time: 0.0537 memory: 1704 2022/08/10 17:52:18 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:03:19 time: 0.0840 data_time: 0.0281 memory: 1704 2022/08/10 17:52:19 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:02:30 time: 0.0635 data_time: 0.0049 memory: 1704 2022/08/10 17:52:21 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:02:35 time: 0.0662 data_time: 0.0048 memory: 1704 2022/08/10 17:52:22 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:02:42 time: 0.0702 data_time: 0.0050 memory: 1715 2022/08/10 17:52:24 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:02:41 time: 0.0703 data_time: 0.0040 memory: 1715 2022/08/10 17:52:25 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:02:44 time: 0.0721 data_time: 0.0053 memory: 1715 2022/08/10 17:52:26 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:02:32 time: 0.0675 data_time: 0.0040 memory: 1704 2022/08/10 17:52:28 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:02:32 time: 0.0681 data_time: 0.0041 memory: 1788 2022/08/10 17:52:29 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:03:00 time: 0.0813 data_time: 0.0048 memory: 1788 2022/08/10 17:52:31 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:03:05 time: 0.0841 data_time: 0.0065 memory: 1788 2022/08/10 17:52:33 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:02:55 time: 0.0803 data_time: 0.0057 memory: 1788 2022/08/10 17:52:34 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:03:07 time: 0.0866 data_time: 0.0053 memory: 1788 2022/08/10 17:52:36 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:03:10 time: 0.0890 data_time: 0.0067 memory: 1788 2022/08/10 17:52:37 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:02:03 time: 0.0582 data_time: 0.0051 memory: 1677 2022/08/10 17:52:38 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:01:50 time: 0.0526 data_time: 0.0040 memory: 1677 2022/08/10 17:52:39 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:01:51 time: 0.0535 data_time: 0.0043 memory: 1677 2022/08/10 17:52:41 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:01:49 time: 0.0529 data_time: 0.0037 memory: 1677 2022/08/10 17:52:42 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:01:48 time: 0.0529 data_time: 0.0037 memory: 1677 2022/08/10 17:52:43 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:01:55 time: 0.0569 data_time: 0.0039 memory: 1677 2022/08/10 17:52:44 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:01:51 time: 0.0557 data_time: 0.0035 memory: 1677 2022/08/10 17:52:45 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:01:47 time: 0.0545 data_time: 0.0045 memory: 1677 2022/08/10 17:52:47 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:02:53 time: 0.0885 data_time: 0.0072 memory: 1677 2022/08/10 17:52:48 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:01:52 time: 0.0578 data_time: 0.0043 memory: 1677 2022/08/10 17:52:49 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:02:03 time: 0.0642 data_time: 0.0041 memory: 1704 2022/08/10 17:52:55 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:08:46 time: 0.2769 data_time: 0.2150 memory: 1704 2022/08/10 17:52:56 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:02:03 time: 0.0655 data_time: 0.0039 memory: 1704 2022/08/10 17:52:58 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:02:49 time: 0.0908 data_time: 0.0066 memory: 1704 2022/08/10 17:52:59 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:02:04 time: 0.0677 data_time: 0.0041 memory: 1707 2022/08/10 17:53:01 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:02:16 time: 0.0748 data_time: 0.0156 memory: 1707 2022/08/10 17:53:02 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:01:57 time: 0.0650 data_time: 0.0064 memory: 1707 2022/08/10 17:53:03 - mmengine - INFO - Epoch(val) [4][4500/6282] eta: 0:01:53 time: 0.0638 data_time: 0.0036 memory: 1707 2022/08/10 17:53:04 - mmengine - INFO - Epoch(val) [4][4520/6282] eta: 0:01:48 time: 0.0615 data_time: 0.0038 memory: 1724 2022/08/10 17:53:06 - mmengine - INFO - Epoch(val) [4][4540/6282] eta: 0:01:36 time: 0.0555 data_time: 0.0037 memory: 1724 2022/08/10 17:53:07 - mmengine - INFO - Epoch(val) [4][4560/6282] eta: 0:01:39 time: 0.0580 data_time: 0.0051 memory: 1679 2022/08/10 17:53:08 - mmengine - INFO - Epoch(val) [4][4580/6282] eta: 0:01:39 time: 0.0587 data_time: 0.0046 memory: 1679 2022/08/10 17:53:09 - mmengine - INFO - Epoch(val) [4][4600/6282] eta: 0:01:27 time: 0.0517 data_time: 0.0035 memory: 1679 2022/08/10 17:53:10 - mmengine - INFO - Epoch(val) [4][4620/6282] eta: 0:01:32 time: 0.0556 data_time: 0.0035 memory: 1679 2022/08/10 17:53:11 - mmengine - INFO - Epoch(val) [4][4640/6282] eta: 0:01:47 time: 0.0656 data_time: 0.0046 memory: 1707 2022/08/10 17:53:13 - mmengine - INFO - Epoch(val) [4][4660/6282] eta: 0:01:47 time: 0.0666 data_time: 0.0040 memory: 1707 2022/08/10 17:53:14 - mmengine - INFO - Epoch(val) [4][4680/6282] eta: 0:01:49 time: 0.0684 data_time: 0.0042 memory: 1707 2022/08/10 17:53:15 - mmengine - INFO - Epoch(val) [4][4700/6282] eta: 0:01:38 time: 0.0626 data_time: 0.0036 memory: 1707 2022/08/10 17:53:17 - mmengine - INFO - Epoch(val) [4][4720/6282] eta: 0:02:38 time: 0.1015 data_time: 0.0038 memory: 1707 2022/08/10 17:53:19 - mmengine - INFO - Epoch(val) [4][4740/6282] eta: 0:01:27 time: 0.0570 data_time: 0.0031 memory: 1688 2022/08/10 17:53:20 - mmengine - INFO - Epoch(val) [4][4760/6282] eta: 0:01:34 time: 0.0622 data_time: 0.0043 memory: 1729 2022/08/10 17:53:21 - mmengine - INFO - Epoch(val) [4][4780/6282] eta: 0:01:25 time: 0.0567 data_time: 0.0041 memory: 1688 2022/08/10 17:53:22 - mmengine - INFO - Epoch(val) [4][4800/6282] eta: 0:01:33 time: 0.0628 data_time: 0.0038 memory: 1688 2022/08/10 17:53:23 - mmengine - INFO - Epoch(val) [4][4820/6282] eta: 0:01:30 time: 0.0619 data_time: 0.0041 memory: 1704 2022/08/10 17:53:25 - mmengine - INFO - Epoch(val) [4][4840/6282] eta: 0:01:35 time: 0.0664 data_time: 0.0038 memory: 1704 2022/08/10 17:53:26 - mmengine - INFO - Epoch(val) [4][4860/6282] eta: 0:01:35 time: 0.0669 data_time: 0.0041 memory: 1704 2022/08/10 17:53:27 - mmengine - INFO - Epoch(val) [4][4880/6282] eta: 0:01:28 time: 0.0630 data_time: 0.0039 memory: 1704 2022/08/10 17:53:29 - mmengine - INFO - Epoch(val) [4][4900/6282] eta: 0:01:32 time: 0.0672 data_time: 0.0049 memory: 1704 2022/08/10 17:53:30 - mmengine - INFO - Epoch(val) [4][4920/6282] eta: 0:01:25 time: 0.0629 data_time: 0.0034 memory: 1704 2022/08/10 17:53:37 - mmengine - INFO - Epoch(val) [4][4940/6282] eta: 0:07:34 time: 0.3390 data_time: 0.2646 memory: 1704 2022/08/10 17:53:38 - mmengine - INFO - Epoch(val) [4][4960/6282] eta: 0:01:37 time: 0.0739 data_time: 0.0104 memory: 1704 2022/08/10 17:53:40 - mmengine - INFO - Epoch(val) [4][4980/6282] eta: 0:01:33 time: 0.0714 data_time: 0.0064 memory: 1704 2022/08/10 17:53:41 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:01:35 time: 0.0748 data_time: 0.0113 memory: 1704 2022/08/10 17:53:42 - mmengine - INFO - Epoch(val) [4][5020/6282] eta: 0:01:23 time: 0.0662 data_time: 0.0059 memory: 1704 2022/08/10 17:53:44 - mmengine - INFO - Epoch(val) [4][5040/6282] eta: 0:01:09 time: 0.0561 data_time: 0.0041 memory: 1677 2022/08/10 17:53:45 - mmengine - INFO - Epoch(val) [4][5060/6282] eta: 0:01:13 time: 0.0604 data_time: 0.0036 memory: 1677 2022/08/10 17:53:46 - mmengine - INFO - Epoch(val) [4][5080/6282] eta: 0:01:09 time: 0.0582 data_time: 0.0035 memory: 1723 2022/08/10 17:53:47 - mmengine - INFO - Epoch(val) [4][5100/6282] eta: 0:01:05 time: 0.0556 data_time: 0.0031 memory: 1677 2022/08/10 17:53:48 - mmengine - INFO - Epoch(val) [4][5120/6282] eta: 0:01:00 time: 0.0522 data_time: 0.0031 memory: 1677 2022/08/10 17:53:49 - mmengine - INFO - Epoch(val) [4][5140/6282] eta: 0:00:52 time: 0.0456 data_time: 0.0025 memory: 1677 2022/08/10 17:53:50 - mmengine - INFO - Epoch(val) [4][5160/6282] eta: 0:00:57 time: 0.0513 data_time: 0.0031 memory: 1677 2022/08/10 17:53:52 - mmengine - INFO - Epoch(val) [4][5180/6282] eta: 0:01:17 time: 0.0706 data_time: 0.0220 memory: 1677 2022/08/10 17:53:53 - mmengine - INFO - Epoch(val) [4][5200/6282] eta: 0:01:02 time: 0.0575 data_time: 0.0070 memory: 1677 2022/08/10 17:53:58 - mmengine - INFO - Epoch(val) [4][5220/6282] eta: 0:04:48 time: 0.2714 data_time: 0.2201 memory: 1677 2022/08/10 17:53:59 - mmengine - INFO - Epoch(val) [4][5240/6282] eta: 0:00:59 time: 0.0568 data_time: 0.0027 memory: 1773 2022/08/10 17:54:00 - mmengine - INFO - Epoch(val) [4][5260/6282] eta: 0:00:56 time: 0.0551 data_time: 0.0034 memory: 1677 2022/08/10 17:54:02 - mmengine - INFO - Epoch(val) [4][5280/6282] eta: 0:00:59 time: 0.0593 data_time: 0.0036 memory: 1697 2022/08/10 17:54:03 - mmengine - INFO - Epoch(val) [4][5300/6282] eta: 0:00:52 time: 0.0536 data_time: 0.0029 memory: 1677 2022/08/10 17:54:04 - mmengine - INFO - Epoch(val) [4][5320/6282] eta: 0:00:51 time: 0.0532 data_time: 0.0034 memory: 1677 2022/08/10 17:54:05 - mmengine - INFO - Epoch(val) [4][5340/6282] eta: 0:00:54 time: 0.0577 data_time: 0.0050 memory: 1677 2022/08/10 17:54:06 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:00:48 time: 0.0523 data_time: 0.0035 memory: 1677 2022/08/10 17:54:07 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:00:55 time: 0.0620 data_time: 0.0046 memory: 1747 2022/08/10 17:54:08 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:00:46 time: 0.0529 data_time: 0.0031 memory: 1677 2022/08/10 17:54:09 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:49 time: 0.0569 data_time: 0.0042 memory: 1677 2022/08/10 17:54:10 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:45 time: 0.0541 data_time: 0.0044 memory: 1677 2022/08/10 17:54:11 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:00:43 time: 0.0530 data_time: 0.0044 memory: 1677 2022/08/10 17:54:13 - mmengine - INFO - Epoch(val) [4][5480/6282] eta: 0:00:45 time: 0.0570 data_time: 0.0049 memory: 1677 2022/08/10 17:54:14 - mmengine - INFO - Epoch(val) [4][5500/6282] eta: 0:00:42 time: 0.0548 data_time: 0.0043 memory: 1677 2022/08/10 17:54:15 - mmengine - INFO - Epoch(val) [4][5520/6282] eta: 0:00:46 time: 0.0609 data_time: 0.0041 memory: 1686 2022/08/10 17:54:17 - mmengine - INFO - Epoch(val) [4][5540/6282] eta: 0:01:03 time: 0.0862 data_time: 0.0045 memory: 1686 2022/08/10 17:54:18 - mmengine - INFO - Epoch(val) [4][5560/6282] eta: 0:00:46 time: 0.0637 data_time: 0.0061 memory: 1686 2022/08/10 17:54:19 - mmengine - INFO - Epoch(val) [4][5580/6282] eta: 0:00:41 time: 0.0587 data_time: 0.0048 memory: 1686 2022/08/10 17:54:20 - mmengine - INFO - Epoch(val) [4][5600/6282] eta: 0:00:41 time: 0.0603 data_time: 0.0050 memory: 1686 2022/08/10 17:54:21 - mmengine - INFO - Epoch(val) [4][5620/6282] eta: 0:00:38 time: 0.0577 data_time: 0.0039 memory: 1686 2022/08/10 17:54:24 - mmengine - INFO - Epoch(val) [4][5640/6282] eta: 0:01:21 time: 0.1272 data_time: 0.0769 memory: 1677 2022/08/10 17:54:27 - mmengine - INFO - Epoch(val) [4][5660/6282] eta: 0:01:22 time: 0.1322 data_time: 0.0806 memory: 1677 2022/08/10 17:54:28 - mmengine - INFO - Epoch(val) [4][5680/6282] eta: 0:00:28 time: 0.0470 data_time: 0.0024 memory: 1677 2022/08/10 17:54:29 - mmengine - INFO - Epoch(val) [4][5700/6282] eta: 0:00:27 time: 0.0479 data_time: 0.0027 memory: 1677 2022/08/10 17:54:30 - mmengine - INFO - Epoch(val) [4][5720/6282] eta: 0:00:28 time: 0.0511 data_time: 0.0038 memory: 1692 2022/08/10 17:54:31 - mmengine - INFO - Epoch(val) [4][5740/6282] eta: 0:00:29 time: 0.0547 data_time: 0.0031 memory: 1692 2022/08/10 17:54:32 - mmengine - INFO - Epoch(val) [4][5760/6282] eta: 0:00:32 time: 0.0631 data_time: 0.0042 memory: 1692 2022/08/10 17:54:33 - mmengine - INFO - Epoch(val) [4][5780/6282] eta: 0:00:32 time: 0.0639 data_time: 0.0043 memory: 1740 2022/08/10 17:54:35 - mmengine - INFO - Epoch(val) [4][5800/6282] eta: 0:00:30 time: 0.0634 data_time: 0.0045 memory: 1692 2022/08/10 17:54:36 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:29 time: 0.0637 data_time: 0.0041 memory: 1692 2022/08/10 17:54:37 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:36 time: 0.0816 data_time: 0.0039 memory: 1686 2022/08/10 17:54:39 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:25 time: 0.0599 data_time: 0.0043 memory: 1686 2022/08/10 17:54:40 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:23 time: 0.0596 data_time: 0.0037 memory: 1686 2022/08/10 17:54:41 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:24 time: 0.0630 data_time: 0.0054 memory: 1686 2022/08/10 17:54:42 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:20 time: 0.0572 data_time: 0.0055 memory: 1686 2022/08/10 17:54:43 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:20 time: 0.0598 data_time: 0.0070 memory: 1677 2022/08/10 17:54:45 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:18 time: 0.0576 data_time: 0.0050 memory: 1677 2022/08/10 17:54:46 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:17 time: 0.0569 data_time: 0.0041 memory: 1677 2022/08/10 17:54:47 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:20 time: 0.0733 data_time: 0.0057 memory: 1704 2022/08/10 17:54:49 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:17 time: 0.0652 data_time: 0.0041 memory: 1704 2022/08/10 17:54:50 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:16 time: 0.0662 data_time: 0.0041 memory: 1704 2022/08/10 17:54:52 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:19 time: 0.0858 data_time: 0.0255 memory: 1715 2022/08/10 17:54:54 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:23 time: 0.1181 data_time: 0.0536 memory: 1715 2022/08/10 17:54:55 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:12 time: 0.0678 data_time: 0.0072 memory: 1873 2022/08/10 17:54:57 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:13 time: 0.0827 data_time: 0.0035 memory: 1704 2022/08/10 17:54:58 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:09 time: 0.0701 data_time: 0.0040 memory: 1840 2022/08/10 17:55:00 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:08 time: 0.0677 data_time: 0.0025 memory: 1840 2022/08/10 17:55:01 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:06 time: 0.0637 data_time: 0.0035 memory: 1704 2022/08/10 17:55:02 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:04 time: 0.0589 data_time: 0.0033 memory: 1704 2022/08/10 17:55:03 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:03 time: 0.0599 data_time: 0.0030 memory: 1704 2022/08/10 17:55:05 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:02 time: 0.0595 data_time: 0.0029 memory: 1704 2022/08/10 17:55:06 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:01 time: 0.0723 data_time: 0.0173 memory: 1704 2022/08/10 17:55:08 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0869 data_time: 0.0040 memory: 1704 2022/08/10 18:00:07 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.2674 2022/08/10 18:00:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2022/08/10 18:00:13 - mmengine - INFO - The best checkpoint with 0.2674 mAP/mAP@0.5IOU at 5 epoch is saved to best_mAP/mAP@0.5IOU_epoch_5.pth. 2022/08/10 18:00:29 - mmengine - INFO - Epoch(train) [5][20/2881] lr: 8.5264e-02 eta: 3:31:04 time: 0.7850 data_time: 0.1111 memory: 15357 grad_norm: 0.2074 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8333 recall@top3: 0.8426 prec@top3: 0.6667 recall@top5: 0.8981 prec@top5: 0.4222 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 18:00:42 - mmengine - INFO - Epoch(train) [5][40/2881] lr: 8.5167e-02 eta: 3:30:47 time: 0.6699 data_time: 0.0235 memory: 15395 grad_norm: 0.1934 recall@thr=0.5: 0.8827 prec@thr=0.5: 0.8827 recall@top3: 0.9136 prec@top3: 0.8272 recall@top5: 0.9506 prec@top5: 0.5185 loss_action_cls: 0.0399 loss: 0.0399 2022/08/10 18:00:56 - mmengine - INFO - Epoch(train) [5][60/2881] lr: 8.5070e-02 eta: 3:30:31 time: 0.7032 data_time: 0.0223 memory: 15510 grad_norm: 0.1992 recall@thr=0.5: 0.8590 prec@thr=0.5: 0.7853 recall@top3: 0.8622 prec@top3: 0.7821 recall@top5: 0.9551 prec@top5: 0.5385 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 18:01:10 - mmengine - INFO - Epoch(train) [5][80/2881] lr: 8.4973e-02 eta: 3:30:16 time: 0.7011 data_time: 0.0239 memory: 15318 grad_norm: 0.2088 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.7717 recall@top3: 0.8478 prec@top3: 0.7391 recall@top5: 0.9565 prec@top5: 0.5217 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:01:24 - mmengine - INFO - Epoch(train) [5][100/2881] lr: 8.4875e-02 eta: 3:29:59 time: 0.6685 data_time: 0.0263 memory: 15510 grad_norm: 0.2024 recall@thr=0.5: 0.8854 prec@thr=0.5: 0.8646 recall@top3: 0.8698 prec@top3: 0.7083 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0356 loss: 0.0356 2022/08/10 18:01:37 - mmengine - INFO - Epoch(train) [5][120/2881] lr: 8.4777e-02 eta: 3:29:42 time: 0.6630 data_time: 0.0230 memory: 15318 grad_norm: 0.1965 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.7368 recall@top3: 0.9649 prec@top3: 0.6667 recall@top5: 0.9649 prec@top5: 0.4000 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 18:01:51 - mmengine - INFO - Epoch(train) [5][140/2881] lr: 8.4679e-02 eta: 3:29:26 time: 0.6826 data_time: 0.0232 memory: 15376 grad_norm: 0.1962 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7417 recall@top3: 0.7250 prec@top3: 0.6833 recall@top5: 0.8750 prec@top5: 0.5100 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 18:02:04 - mmengine - INFO - Epoch(train) [5][160/2881] lr: 8.4581e-02 eta: 3:29:10 time: 0.6753 data_time: 0.0213 memory: 15146 grad_norm: 0.1994 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7333 recall@top3: 0.9067 prec@top3: 0.5467 recall@top5: 0.9400 prec@top5: 0.3520 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 18:02:19 - mmengine - INFO - Epoch(train) [5][180/2881] lr: 8.4482e-02 eta: 3:28:55 time: 0.7323 data_time: 0.0242 memory: 15452 grad_norm: 0.2228 recall@thr=0.5: 0.5133 prec@thr=0.5: 0.8000 recall@top3: 0.7133 prec@top3: 0.6667 recall@top5: 0.9467 prec@top5: 0.5520 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 18:02:33 - mmengine - INFO - Epoch(train) [5][200/2881] lr: 8.4383e-02 eta: 3:28:40 time: 0.6994 data_time: 0.0297 memory: 15357 grad_norm: 0.2324 recall@thr=0.5: 0.6700 prec@thr=0.5: 0.6433 recall@top3: 0.7333 prec@top3: 0.6267 recall@top5: 0.8700 prec@top5: 0.4640 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 18:02:47 - mmengine - INFO - Epoch(train) [5][220/2881] lr: 8.4284e-02 eta: 3:28:25 time: 0.7204 data_time: 0.0217 memory: 15338 grad_norm: 0.1983 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.9216 recall@top3: 0.8676 prec@top3: 0.6863 recall@top5: 0.9559 prec@top5: 0.4471 loss_action_cls: 0.0403 loss: 0.0403 2022/08/10 18:03:02 - mmengine - INFO - Epoch(train) [5][240/2881] lr: 8.4185e-02 eta: 3:28:11 time: 0.7637 data_time: 0.0272 memory: 15759 grad_norm: 0.1996 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7424 recall@top3: 0.7061 prec@top3: 0.5606 recall@top5: 0.8333 prec@top5: 0.4182 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 18:03:16 - mmengine - INFO - Epoch(train) [5][260/2881] lr: 8.4085e-02 eta: 3:27:55 time: 0.6990 data_time: 0.0236 memory: 15529 grad_norm: 0.2058 recall@thr=0.5: 0.6479 prec@thr=0.5: 0.7229 recall@top3: 0.9035 prec@top3: 0.6389 recall@top5: 0.9549 prec@top5: 0.4250 loss_action_cls: 0.0393 loss: 0.0393 2022/08/10 18:03:31 - mmengine - INFO - Epoch(train) [5][280/2881] lr: 8.3986e-02 eta: 3:27:40 time: 0.7271 data_time: 0.0235 memory: 15318 grad_norm: 0.1968 recall@thr=0.5: 0.5200 prec@thr=0.5: 0.6667 recall@top3: 0.5733 prec@top3: 0.5600 recall@top5: 0.8200 prec@top5: 0.4960 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 18:03:45 - mmengine - INFO - Epoch(train) [5][300/2881] lr: 8.3885e-02 eta: 3:27:24 time: 0.6804 data_time: 0.0213 memory: 15395 grad_norm: 0.1919 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9583 recall@top3: 0.8993 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 18:03:59 - mmengine - INFO - Epoch(train) [5][320/2881] lr: 8.3785e-02 eta: 3:27:09 time: 0.7083 data_time: 0.0220 memory: 15529 grad_norm: 0.2145 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.7454 recall@top3: 0.7500 prec@top3: 0.5926 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 18:04:15 - mmengine - INFO - Epoch(train) [5][340/2881] lr: 8.3684e-02 eta: 3:26:57 time: 0.8215 data_time: 0.0269 memory: 15414 grad_norm: 0.1972 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8750 recall@top3: 0.9479 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 18:04:29 - mmengine - INFO - Epoch(train) [5][360/2881] lr: 8.3584e-02 eta: 3:26:41 time: 0.6804 data_time: 0.0236 memory: 15318 grad_norm: 0.2070 recall@thr=0.5: 0.7206 prec@thr=0.5: 0.7794 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4706 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 18:04:42 - mmengine - INFO - Epoch(train) [5][380/2881] lr: 8.3483e-02 eta: 3:26:24 time: 0.6680 data_time: 0.0229 memory: 15433 grad_norm: 0.1886 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8021 recall@top3: 0.7847 prec@top3: 0.6528 recall@top5: 0.9306 prec@top5: 0.4917 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 18:04:56 - mmengine - INFO - Epoch(train) [5][400/2881] lr: 8.3381e-02 eta: 3:26:08 time: 0.6886 data_time: 0.0220 memory: 15395 grad_norm: 0.2169 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7372 recall@top3: 0.8462 prec@top3: 0.6667 recall@top5: 0.9679 prec@top5: 0.4692 loss_action_cls: 0.0433 loss: 0.0433 2022/08/10 18:05:10 - mmengine - INFO - Epoch(train) [5][420/2881] lr: 8.3280e-02 eta: 3:25:53 time: 0.7178 data_time: 0.0270 memory: 15376 grad_norm: 0.1879 recall@thr=0.5: 0.7126 prec@thr=0.5: 0.7460 recall@top3: 0.7701 prec@top3: 0.5747 recall@top5: 0.8879 prec@top5: 0.4276 loss_action_cls: 0.0383 loss: 0.0383 2022/08/10 18:05:25 - mmengine - INFO - Epoch(train) [5][440/2881] lr: 8.3178e-02 eta: 3:25:38 time: 0.7200 data_time: 0.0197 memory: 15338 grad_norm: 0.2032 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7895 recall@top3: 0.8377 prec@top3: 0.7368 recall@top5: 0.8860 prec@top5: 0.4737 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 18:05:38 - mmengine - INFO - Epoch(train) [5][460/2881] lr: 8.3076e-02 eta: 3:25:22 time: 0.6730 data_time: 0.0298 memory: 15357 grad_norm: 0.2070 recall@thr=0.5: 0.8533 prec@thr=0.5: 0.8533 recall@top3: 0.9467 prec@top3: 0.8133 recall@top5: 0.9800 prec@top5: 0.5120 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 18:05:50 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 18:05:53 - mmengine - INFO - Epoch(train) [5][480/2881] lr: 8.2973e-02 eta: 3:25:07 time: 0.7353 data_time: 0.0254 memory: 15472 grad_norm: 0.2010 recall@thr=0.5: 0.5688 prec@thr=0.5: 0.7826 recall@top3: 0.6449 prec@top3: 0.6377 recall@top5: 0.8913 prec@top5: 0.5130 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 18:06:06 - mmengine - INFO - Epoch(train) [5][500/2881] lr: 8.2871e-02 eta: 3:24:51 time: 0.6730 data_time: 0.0270 memory: 15184 grad_norm: 0.2067 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.8561 recall@top3: 0.8295 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0378 loss: 0.0378 2022/08/10 18:06:20 - mmengine - INFO - Epoch(train) [5][520/2881] lr: 8.2768e-02 eta: 3:24:36 time: 0.7060 data_time: 0.0309 memory: 15414 grad_norm: 0.2043 recall@thr=0.5: 0.8733 prec@thr=0.5: 0.8167 recall@top3: 0.8733 prec@top3: 0.6333 recall@top5: 0.9467 prec@top5: 0.4400 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 18:06:34 - mmengine - INFO - Epoch(train) [5][540/2881] lr: 8.2665e-02 eta: 3:24:19 time: 0.6723 data_time: 0.0247 memory: 15318 grad_norm: 0.1910 recall@thr=0.5: 0.7006 prec@thr=0.5: 0.7259 recall@top3: 0.6698 prec@top3: 0.6790 recall@top5: 0.8920 prec@top5: 0.5556 loss_action_cls: 0.0427 loss: 0.0427 2022/08/10 18:06:49 - mmengine - INFO - Epoch(train) [5][560/2881] lr: 8.2561e-02 eta: 3:24:05 time: 0.7434 data_time: 0.0235 memory: 15280 grad_norm: 0.1990 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.7619 recall@top3: 0.7873 prec@top3: 0.6984 recall@top5: 0.9286 prec@top5: 0.5238 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 18:07:04 - mmengine - INFO - Epoch(train) [5][580/2881] lr: 8.2458e-02 eta: 3:23:51 time: 0.7550 data_time: 0.0224 memory: 15357 grad_norm: 0.1975 recall@thr=0.5: 0.7402 prec@thr=0.5: 0.7647 recall@top3: 0.8333 prec@top3: 0.6765 recall@top5: 0.9608 prec@top5: 0.4706 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 18:07:18 - mmengine - INFO - Epoch(train) [5][600/2881] lr: 8.2354e-02 eta: 3:23:36 time: 0.7187 data_time: 0.0208 memory: 15318 grad_norm: 0.1968 recall@thr=0.5: 0.6910 prec@thr=0.5: 0.8090 recall@top3: 0.7014 prec@top3: 0.6667 recall@top5: 0.9479 prec@top5: 0.5583 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 18:07:32 - mmengine - INFO - Epoch(train) [5][620/2881] lr: 8.2250e-02 eta: 3:23:20 time: 0.6892 data_time: 0.0230 memory: 15300 grad_norm: 0.1890 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7302 recall@top3: 0.7619 prec@top3: 0.6825 recall@top5: 0.9008 prec@top5: 0.5048 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 18:07:46 - mmengine - INFO - Epoch(train) [5][640/2881] lr: 8.2146e-02 eta: 3:23:05 time: 0.7010 data_time: 0.0248 memory: 15338 grad_norm: 0.2043 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8394 recall@top3: 0.8611 prec@top3: 0.6556 recall@top5: 0.9389 prec@top5: 0.4467 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 18:08:00 - mmengine - INFO - Epoch(train) [5][660/2881] lr: 8.2041e-02 eta: 3:22:50 time: 0.7137 data_time: 0.0222 memory: 15223 grad_norm: 0.2202 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.8182 recall@top3: 0.8220 prec@top3: 0.8030 recall@top5: 0.9205 prec@top5: 0.5545 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 18:08:14 - mmengine - INFO - Epoch(train) [5][680/2881] lr: 8.1936e-02 eta: 3:22:34 time: 0.6929 data_time: 0.0238 memory: 15300 grad_norm: 0.1904 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.6994 recall@top3: 0.6577 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.5071 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 18:08:28 - mmengine - INFO - Epoch(train) [5][700/2881] lr: 8.1831e-02 eta: 3:22:19 time: 0.7136 data_time: 0.0240 memory: 15338 grad_norm: 0.1873 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.8310 recall@top3: 0.7063 prec@top3: 0.7143 recall@top5: 0.8651 prec@top5: 0.5238 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 18:08:42 - mmengine - INFO - Epoch(train) [5][720/2881] lr: 8.1726e-02 eta: 3:22:03 time: 0.6785 data_time: 0.0229 memory: 15242 grad_norm: 0.2073 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.9000 recall@top3: 0.8250 prec@top3: 0.8000 recall@top5: 0.9458 prec@top5: 0.5700 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 18:08:55 - mmengine - INFO - Epoch(train) [5][740/2881] lr: 8.1621e-02 eta: 3:21:46 time: 0.6636 data_time: 0.0201 memory: 15452 grad_norm: 0.2086 recall@thr=0.5: 0.6712 prec@thr=0.5: 0.8030 recall@top3: 0.7053 prec@top3: 0.7121 recall@top5: 0.8773 prec@top5: 0.5545 loss_action_cls: 0.0418 loss: 0.0418 2022/08/10 18:09:09 - mmengine - INFO - Epoch(train) [5][760/2881] lr: 8.1515e-02 eta: 3:21:31 time: 0.6985 data_time: 0.0231 memory: 15376 grad_norm: 0.2042 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7000 recall@top3: 0.9500 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.3800 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 18:09:23 - mmengine - INFO - Epoch(train) [5][780/2881] lr: 8.1409e-02 eta: 3:21:15 time: 0.6896 data_time: 0.0216 memory: 15376 grad_norm: 0.2321 recall@thr=0.5: 0.8917 prec@thr=0.5: 0.8583 recall@top3: 0.9167 prec@top3: 0.7667 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 18:09:37 - mmengine - INFO - Epoch(train) [5][800/2881] lr: 8.1303e-02 eta: 3:21:00 time: 0.7126 data_time: 0.0218 memory: 15376 grad_norm: 0.2139 recall@thr=0.5: 0.8161 prec@thr=0.5: 0.8592 recall@top3: 0.8793 prec@top3: 0.8736 recall@top5: 0.9483 prec@top5: 0.5724 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 18:09:52 - mmengine - INFO - Epoch(train) [5][820/2881] lr: 8.1197e-02 eta: 3:20:45 time: 0.7113 data_time: 0.0218 memory: 15357 grad_norm: 0.1869 recall@thr=0.5: 0.8371 prec@thr=0.5: 0.9697 recall@top3: 0.9394 prec@top3: 0.8182 recall@top5: 1.0000 prec@top5: 0.5364 loss_action_cls: 0.0372 loss: 0.0372 2022/08/10 18:10:06 - mmengine - INFO - Epoch(train) [5][840/2881] lr: 8.1090e-02 eta: 3:20:30 time: 0.7462 data_time: 0.0280 memory: 15433 grad_norm: 0.2059 recall@thr=0.5: 0.6452 prec@thr=0.5: 0.7262 recall@top3: 0.7405 prec@top3: 0.5952 recall@top5: 0.9750 prec@top5: 0.4857 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 18:10:21 - mmengine - INFO - Epoch(train) [5][860/2881] lr: 8.0983e-02 eta: 3:20:15 time: 0.7119 data_time: 0.0289 memory: 15280 grad_norm: 0.1931 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8333 recall@top3: 0.9167 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 18:10:35 - mmengine - INFO - Epoch(train) [5][880/2881] lr: 8.0876e-02 eta: 3:20:00 time: 0.7255 data_time: 0.0248 memory: 15357 grad_norm: 0.2167 recall@thr=0.5: 0.7631 prec@thr=0.5: 0.8363 recall@top3: 0.7827 prec@top3: 0.7500 recall@top5: 0.8637 prec@top5: 0.5071 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 18:10:49 - mmengine - INFO - Epoch(train) [5][900/2881] lr: 8.0769e-02 eta: 3:19:45 time: 0.6868 data_time: 0.0241 memory: 15338 grad_norm: 0.1974 recall@thr=0.5: 0.4307 prec@thr=0.5: 0.6316 recall@top3: 0.5640 prec@top3: 0.5614 recall@top5: 0.7702 prec@top5: 0.4211 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 18:11:02 - mmengine - INFO - Epoch(train) [5][920/2881] lr: 8.0661e-02 eta: 3:19:28 time: 0.6741 data_time: 0.0224 memory: 15452 grad_norm: 0.2122 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6389 recall@top3: 0.7593 prec@top3: 0.5370 recall@top5: 0.8704 prec@top5: 0.3778 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 18:11:16 - mmengine - INFO - Epoch(train) [5][940/2881] lr: 8.0553e-02 eta: 3:19:13 time: 0.6968 data_time: 0.0238 memory: 15318 grad_norm: 0.1955 recall@thr=0.5: 0.7787 prec@thr=0.5: 0.9107 recall@top3: 0.8373 prec@top3: 0.7467 recall@top5: 0.9487 prec@top5: 0.5280 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 18:11:30 - mmengine - INFO - Epoch(train) [5][960/2881] lr: 8.0445e-02 eta: 3:18:57 time: 0.6913 data_time: 0.0300 memory: 15300 grad_norm: 0.2124 recall@thr=0.5: 0.7421 prec@thr=0.5: 0.8214 recall@top3: 0.8373 prec@top3: 0.7460 recall@top5: 0.9167 prec@top5: 0.5048 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 18:11:45 - mmengine - INFO - Epoch(train) [5][980/2881] lr: 8.0337e-02 eta: 3:18:43 time: 0.7414 data_time: 0.0227 memory: 15472 grad_norm: 0.2201 recall@thr=0.5: 0.5125 prec@thr=0.5: 0.7667 recall@top3: 0.7417 prec@top3: 0.6500 recall@top5: 0.9125 prec@top5: 0.5000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 18:11:59 - mmengine - INFO - Epoch(train) [5][1000/2881] lr: 8.0229e-02 eta: 3:18:27 time: 0.6785 data_time: 0.0221 memory: 15376 grad_norm: 0.2206 recall@thr=0.5: 0.7428 prec@thr=0.5: 0.7681 recall@top3: 0.8551 prec@top3: 0.6812 recall@top5: 0.9891 prec@top5: 0.4870 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 18:12:12 - mmengine - INFO - Epoch(train) [5][1020/2881] lr: 8.0120e-02 eta: 3:18:11 time: 0.6841 data_time: 0.0232 memory: 15414 grad_norm: 0.1907 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7917 recall@top3: 0.8333 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0398 loss: 0.0398 2022/08/10 18:12:26 - mmengine - INFO - Epoch(train) [5][1040/2881] lr: 8.0011e-02 eta: 3:17:55 time: 0.6757 data_time: 0.0220 memory: 15414 grad_norm: 0.1950 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9427 recall@top3: 0.9688 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0339 loss: 0.0339 2022/08/10 18:12:40 - mmengine - INFO - Epoch(train) [5][1060/2881] lr: 7.9902e-02 eta: 3:17:40 time: 0.7016 data_time: 0.0241 memory: 15395 grad_norm: 0.1957 recall@thr=0.5: 0.7367 prec@thr=0.5: 0.8200 recall@top3: 0.8267 prec@top3: 0.7333 recall@top5: 0.9233 prec@top5: 0.5040 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 18:12:54 - mmengine - INFO - Epoch(train) [5][1080/2881] lr: 7.9792e-02 eta: 3:17:25 time: 0.7212 data_time: 0.0253 memory: 15261 grad_norm: 0.1985 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7708 recall@top3: 0.8125 prec@top3: 0.6528 recall@top5: 0.9375 prec@top5: 0.4667 loss_action_cls: 0.0412 loss: 0.0412 2022/08/10 18:13:08 - mmengine - INFO - Epoch(train) [5][1100/2881] lr: 7.9683e-02 eta: 3:17:09 time: 0.6967 data_time: 0.0221 memory: 15452 grad_norm: 0.1947 recall@thr=0.5: 0.7885 prec@thr=0.5: 0.8205 recall@top3: 0.8141 prec@top3: 0.7436 recall@top5: 0.9359 prec@top5: 0.5154 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 18:13:23 - mmengine - INFO - Epoch(train) [5][1120/2881] lr: 7.9573e-02 eta: 3:16:55 time: 0.7443 data_time: 0.0237 memory: 15491 grad_norm: 0.1947 recall@thr=0.5: 0.6280 prec@thr=0.5: 0.7083 recall@top3: 0.8375 prec@top3: 0.7143 recall@top5: 0.9411 prec@top5: 0.5071 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 18:13:37 - mmengine - INFO - Epoch(train) [5][1140/2881] lr: 7.9463e-02 eta: 3:16:39 time: 0.6920 data_time: 0.0217 memory: 15318 grad_norm: 0.1994 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.4514 recall@top3: 0.6424 prec@top3: 0.5139 recall@top5: 0.8090 prec@top5: 0.3833 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 18:13:51 - mmengine - INFO - Epoch(train) [5][1160/2881] lr: 7.9353e-02 eta: 3:16:24 time: 0.7066 data_time: 0.0251 memory: 15472 grad_norm: 0.2103 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.4375 recall@top3: 0.6354 prec@top3: 0.4792 recall@top5: 0.7917 prec@top5: 0.3625 loss_action_cls: 0.0394 loss: 0.0394 2022/08/10 18:14:05 - mmengine - INFO - Epoch(train) [5][1180/2881] lr: 7.9242e-02 eta: 3:16:09 time: 0.7053 data_time: 0.0209 memory: 15452 grad_norm: 0.2083 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8148 recall@top3: 0.8611 prec@top3: 0.7531 recall@top5: 0.9815 prec@top5: 0.5259 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 18:14:20 - mmengine - INFO - Epoch(train) [5][1200/2881] lr: 7.9132e-02 eta: 3:15:54 time: 0.7289 data_time: 0.0232 memory: 15414 grad_norm: 0.2058 recall@thr=0.5: 0.5265 prec@thr=0.5: 0.6136 recall@top3: 0.7462 prec@top3: 0.6061 recall@top5: 0.7879 prec@top5: 0.3909 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:14:33 - mmengine - INFO - Epoch(train) [5][1220/2881] lr: 7.9021e-02 eta: 3:15:38 time: 0.6863 data_time: 0.0222 memory: 15242 grad_norm: 0.1989 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6667 recall@top3: 0.8016 prec@top3: 0.5873 recall@top5: 0.9841 prec@top5: 0.4476 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 18:14:47 - mmengine - INFO - Epoch(train) [5][1240/2881] lr: 7.8910e-02 eta: 3:15:22 time: 0.6748 data_time: 0.0217 memory: 15318 grad_norm: 0.1859 recall@thr=0.5: 0.7202 prec@thr=0.5: 0.7827 recall@top3: 0.8036 prec@top3: 0.7262 recall@top5: 0.9107 prec@top5: 0.4929 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 18:15:01 - mmengine - INFO - Epoch(train) [5][1260/2881] lr: 7.8798e-02 eta: 3:15:07 time: 0.7065 data_time: 0.0226 memory: 15261 grad_norm: 0.2005 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7917 recall@top3: 0.8667 prec@top3: 0.6667 recall@top5: 0.9833 prec@top5: 0.4700 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:15:15 - mmengine - INFO - Epoch(train) [5][1280/2881] lr: 7.8687e-02 eta: 3:14:52 time: 0.6896 data_time: 0.0242 memory: 15414 grad_norm: 0.2176 recall@thr=0.5: 0.8292 prec@thr=0.5: 0.8333 recall@top3: 0.8792 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4700 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 18:15:29 - mmengine - INFO - Epoch(train) [5][1300/2881] lr: 7.8575e-02 eta: 3:14:37 time: 0.7153 data_time: 0.0235 memory: 15376 grad_norm: 0.1937 recall@thr=0.5: 0.7257 prec@thr=0.5: 0.7708 recall@top3: 0.8090 prec@top3: 0.6389 recall@top5: 0.9479 prec@top5: 0.4667 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 18:15:43 - mmengine - INFO - Epoch(train) [5][1320/2881] lr: 7.8463e-02 eta: 3:14:21 time: 0.6902 data_time: 0.0254 memory: 15300 grad_norm: 0.1975 recall@thr=0.5: 0.7299 prec@thr=0.5: 0.8276 recall@top3: 0.7931 prec@top3: 0.6552 recall@top5: 0.9310 prec@top5: 0.4897 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 18:15:57 - mmengine - INFO - Epoch(train) [5][1340/2881] lr: 7.8351e-02 eta: 3:14:05 time: 0.6797 data_time: 0.0216 memory: 15510 grad_norm: 0.1959 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7255 recall@top3: 0.7647 prec@top3: 0.5882 recall@top5: 0.8235 prec@top5: 0.4000 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 18:16:12 - mmengine - INFO - Epoch(train) [5][1360/2881] lr: 7.8239e-02 eta: 3:13:51 time: 0.7463 data_time: 0.0230 memory: 15204 grad_norm: 0.1904 recall@thr=0.5: 0.7325 prec@thr=0.5: 0.7018 recall@top3: 0.8377 prec@top3: 0.7368 recall@top5: 0.9868 prec@top5: 0.4947 loss_action_cls: 0.0415 loss: 0.0415 2022/08/10 18:16:26 - mmengine - INFO - Epoch(train) [5][1380/2881] lr: 7.8126e-02 eta: 3:13:36 time: 0.7025 data_time: 0.0241 memory: 15261 grad_norm: 0.2133 recall@thr=0.5: 0.6718 prec@thr=0.5: 0.8205 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9282 prec@top5: 0.5077 loss_action_cls: 0.0397 loss: 0.0397 2022/08/10 18:16:40 - mmengine - INFO - Epoch(train) [5][1400/2881] lr: 7.8013e-02 eta: 3:13:21 time: 0.7138 data_time: 0.0236 memory: 15338 grad_norm: 0.2065 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.8144 recall@top3: 0.7235 prec@top3: 0.6970 recall@top5: 0.9129 prec@top5: 0.5273 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 18:16:54 - mmengine - INFO - Epoch(train) [5][1420/2881] lr: 7.7900e-02 eta: 3:13:05 time: 0.6889 data_time: 0.0221 memory: 15376 grad_norm: 0.2224 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7531 recall@top3: 0.7901 prec@top3: 0.5556 recall@top5: 0.9259 prec@top5: 0.4000 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 18:17:08 - mmengine - INFO - Epoch(train) [5][1440/2881] lr: 7.7787e-02 eta: 3:12:50 time: 0.7251 data_time: 0.0218 memory: 15548 grad_norm: 0.2111 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.7550 recall@top3: 0.7983 prec@top3: 0.6833 recall@top5: 0.9267 prec@top5: 0.5000 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 18:17:22 - mmengine - INFO - Epoch(train) [5][1460/2881] lr: 7.7674e-02 eta: 3:12:35 time: 0.7146 data_time: 0.0242 memory: 15280 grad_norm: 0.2282 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.7955 recall@top3: 0.8523 prec@top3: 0.6818 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 18:17:34 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 18:17:36 - mmengine - INFO - Epoch(train) [5][1480/2881] lr: 7.7560e-02 eta: 3:12:20 time: 0.6990 data_time: 0.0207 memory: 15318 grad_norm: 0.1926 recall@thr=0.5: 0.6375 prec@thr=0.5: 0.8667 recall@top3: 0.6750 prec@top3: 0.5333 recall@top5: 0.7750 prec@top5: 0.4000 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 18:17:51 - mmengine - INFO - Epoch(train) [5][1500/2881] lr: 7.7446e-02 eta: 3:12:05 time: 0.7070 data_time: 0.0235 memory: 15338 grad_norm: 0.1944 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8571 recall@top3: 0.8611 prec@top3: 0.7460 recall@top5: 0.9683 prec@top5: 0.5143 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 18:18:04 - mmengine - INFO - Epoch(train) [5][1520/2881] lr: 7.7332e-02 eta: 3:11:49 time: 0.6881 data_time: 0.0217 memory: 15318 grad_norm: 0.2002 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.8529 recall@top3: 0.8873 prec@top3: 0.7059 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 18:18:18 - mmengine - INFO - Epoch(train) [5][1540/2881] lr: 7.7218e-02 eta: 3:11:33 time: 0.6733 data_time: 0.0218 memory: 15318 grad_norm: 0.1913 recall@thr=0.5: 0.7465 prec@thr=0.5: 0.8542 recall@top3: 0.7812 prec@top3: 0.7778 recall@top5: 0.9653 prec@top5: 0.5833 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 18:18:33 - mmengine - INFO - Epoch(train) [5][1560/2881] lr: 7.7103e-02 eta: 3:11:19 time: 0.7461 data_time: 0.0238 memory: 15357 grad_norm: 0.2007 recall@thr=0.5: 0.8297 prec@thr=0.5: 0.8514 recall@top3: 0.8587 prec@top3: 0.6812 recall@top5: 0.9674 prec@top5: 0.4522 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 18:18:47 - mmengine - INFO - Epoch(train) [5][1580/2881] lr: 7.6989e-02 eta: 3:11:04 time: 0.7236 data_time: 0.0223 memory: 15548 grad_norm: 0.1958 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8843 recall@top3: 0.8333 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4778 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 18:19:02 - mmengine - INFO - Epoch(train) [5][1600/2881] lr: 7.6874e-02 eta: 3:10:50 time: 0.7281 data_time: 0.0203 memory: 15414 grad_norm: 0.1893 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.8690 recall@top3: 0.7897 prec@top3: 0.6984 recall@top5: 0.8849 prec@top5: 0.4857 loss_action_cls: 0.0384 loss: 0.0384 2022/08/10 18:19:16 - mmengine - INFO - Epoch(train) [5][1620/2881] lr: 7.6759e-02 eta: 3:10:35 time: 0.7152 data_time: 0.0276 memory: 15242 grad_norm: 0.2025 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.7396 recall@top3: 0.7431 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.4583 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 18:19:31 - mmengine - INFO - Epoch(train) [5][1640/2881] lr: 7.6644e-02 eta: 3:10:20 time: 0.7445 data_time: 0.0233 memory: 15606 grad_norm: 0.2106 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.9601 recall@top3: 0.9638 prec@top3: 0.8406 recall@top5: 1.0000 prec@top5: 0.5304 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 18:19:45 - mmengine - INFO - Epoch(train) [5][1660/2881] lr: 7.6528e-02 eta: 3:10:05 time: 0.6857 data_time: 0.0237 memory: 15376 grad_norm: 0.2064 recall@thr=0.5: 0.7118 prec@thr=0.5: 0.8681 recall@top3: 0.8785 prec@top3: 0.8194 recall@top5: 0.9861 prec@top5: 0.5583 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 18:19:59 - mmengine - INFO - Epoch(train) [5][1680/2881] lr: 7.6413e-02 eta: 3:09:50 time: 0.7253 data_time: 0.0230 memory: 15376 grad_norm: 0.1887 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.7949 recall@top3: 0.7468 prec@top3: 0.6538 recall@top5: 0.9808 prec@top5: 0.5385 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 18:20:13 - mmengine - INFO - Epoch(train) [5][1700/2881] lr: 7.6297e-02 eta: 3:09:34 time: 0.6873 data_time: 0.0307 memory: 15395 grad_norm: 0.2173 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.8627 recall@top3: 0.9412 prec@top3: 0.7059 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0389 loss: 0.0389 2022/08/10 18:20:27 - mmengine - INFO - Epoch(train) [5][1720/2881] lr: 7.6181e-02 eta: 3:09:19 time: 0.7128 data_time: 0.0218 memory: 15242 grad_norm: 0.1924 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7063 recall@top3: 0.8571 prec@top3: 0.5714 recall@top5: 0.9524 prec@top5: 0.3714 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 18:20:41 - mmengine - INFO - Epoch(train) [5][1740/2881] lr: 7.6064e-02 eta: 3:09:04 time: 0.6988 data_time: 0.0263 memory: 15338 grad_norm: 0.2045 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8070 recall@top3: 0.7281 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 18:20:55 - mmengine - INFO - Epoch(train) [5][1760/2881] lr: 7.5948e-02 eta: 3:08:49 time: 0.7105 data_time: 0.0218 memory: 15395 grad_norm: 0.2068 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.7692 recall@top3: 0.7853 prec@top3: 0.6923 recall@top5: 0.9263 prec@top5: 0.4923 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 18:21:09 - mmengine - INFO - Epoch(train) [5][1780/2881] lr: 7.5831e-02 eta: 3:08:33 time: 0.6809 data_time: 0.0229 memory: 15472 grad_norm: 0.1967 recall@thr=0.5: 0.5673 prec@thr=0.5: 0.5994 recall@top3: 0.6519 prec@top3: 0.5897 recall@top5: 0.9359 prec@top5: 0.4923 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 18:21:23 - mmengine - INFO - Epoch(train) [5][1800/2881] lr: 7.5715e-02 eta: 3:08:18 time: 0.6821 data_time: 0.0230 memory: 15395 grad_norm: 0.1926 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.7756 recall@top3: 0.8141 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.4385 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 18:21:37 - mmengine - INFO - Epoch(train) [5][1820/2881] lr: 7.5598e-02 eta: 3:08:03 time: 0.7129 data_time: 0.0229 memory: 15357 grad_norm: 0.2081 recall@thr=0.5: 0.7568 prec@thr=0.5: 0.8395 recall@top3: 0.8432 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5481 loss_action_cls: 0.0385 loss: 0.0385 2022/08/10 18:21:51 - mmengine - INFO - Epoch(train) [5][1840/2881] lr: 7.5480e-02 eta: 3:07:47 time: 0.7033 data_time: 0.0225 memory: 15300 grad_norm: 0.1963 recall@thr=0.5: 0.8370 prec@thr=0.5: 0.8768 recall@top3: 0.7754 prec@top3: 0.7246 recall@top5: 0.8913 prec@top5: 0.5043 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 18:22:05 - mmengine - INFO - Epoch(train) [5][1860/2881] lr: 7.5363e-02 eta: 3:07:32 time: 0.6952 data_time: 0.0221 memory: 15338 grad_norm: 0.1992 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.9074 recall@top3: 0.9352 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 18:22:18 - mmengine - INFO - Epoch(train) [5][1880/2881] lr: 7.5246e-02 eta: 3:07:16 time: 0.6769 data_time: 0.0236 memory: 15472 grad_norm: 0.1900 recall@thr=0.5: 0.7528 prec@thr=0.5: 0.8111 recall@top3: 0.7900 prec@top3: 0.7556 recall@top5: 0.9250 prec@top5: 0.5533 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 18:22:32 - mmengine - INFO - Epoch(train) [5][1900/2881] lr: 7.5128e-02 eta: 3:07:01 time: 0.6805 data_time: 0.0227 memory: 15280 grad_norm: 0.2062 recall@thr=0.5: 0.7300 prec@thr=0.5: 0.8867 recall@top3: 0.8033 prec@top3: 0.7733 recall@top5: 0.9500 prec@top5: 0.5680 loss_action_cls: 0.0392 loss: 0.0392 2022/08/10 18:22:46 - mmengine - INFO - Epoch(train) [5][1920/2881] lr: 7.5010e-02 eta: 3:06:45 time: 0.6844 data_time: 0.0204 memory: 15300 grad_norm: 0.2125 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7240 recall@top3: 0.9375 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 18:23:00 - mmengine - INFO - Epoch(train) [5][1940/2881] lr: 7.4892e-02 eta: 3:06:30 time: 0.7123 data_time: 0.0237 memory: 15261 grad_norm: 0.2064 recall@thr=0.5: 0.6853 prec@thr=0.5: 0.8141 recall@top3: 0.8981 prec@top3: 0.7436 recall@top5: 0.9769 prec@top5: 0.5000 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 18:23:14 - mmengine - INFO - Epoch(train) [5][1960/2881] lr: 7.4773e-02 eta: 3:06:15 time: 0.7079 data_time: 0.0327 memory: 15472 grad_norm: 0.1932 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.8250 recall@top3: 0.8708 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0326 loss: 0.0326 2022/08/10 18:23:28 - mmengine - INFO - Epoch(train) [5][1980/2881] lr: 7.4655e-02 eta: 3:05:59 time: 0.6805 data_time: 0.0214 memory: 15338 grad_norm: 0.2082 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.5588 recall@top3: 0.6127 prec@top3: 0.5490 recall@top5: 0.8284 prec@top5: 0.4706 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:23:42 - mmengine - INFO - Epoch(train) [5][2000/2881] lr: 7.4536e-02 eta: 3:05:44 time: 0.7132 data_time: 0.0250 memory: 15280 grad_norm: 0.2275 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8417 recall@top3: 0.8667 prec@top3: 0.7333 recall@top5: 0.9125 prec@top5: 0.4700 loss_action_cls: 0.0377 loss: 0.0377 2022/08/10 18:23:57 - mmengine - INFO - Epoch(train) [5][2020/2881] lr: 7.4417e-02 eta: 3:05:30 time: 0.7444 data_time: 0.0255 memory: 15318 grad_norm: 0.2168 recall@thr=0.5: 0.6065 prec@thr=0.5: 0.8148 recall@top3: 0.8750 prec@top3: 0.8333 recall@top5: 0.9352 prec@top5: 0.5444 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 18:24:11 - mmengine - INFO - Epoch(train) [5][2040/2881] lr: 7.4298e-02 eta: 3:05:15 time: 0.6872 data_time: 0.0284 memory: 15318 grad_norm: 0.1946 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6111 recall@top3: 0.8333 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:24:24 - mmengine - INFO - Epoch(train) [5][2060/2881] lr: 7.4179e-02 eta: 3:04:59 time: 0.6911 data_time: 0.0260 memory: 15223 grad_norm: 0.1946 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8264 recall@top3: 0.8160 prec@top3: 0.7917 recall@top5: 0.9444 prec@top5: 0.5750 loss_action_cls: 0.0401 loss: 0.0401 2022/08/10 18:24:39 - mmengine - INFO - Epoch(train) [5][2080/2881] lr: 7.4060e-02 eta: 3:04:44 time: 0.7057 data_time: 0.0253 memory: 15510 grad_norm: 0.1916 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7600 recall@top3: 0.8867 prec@top3: 0.6667 recall@top5: 0.9800 prec@top5: 0.4560 loss_action_cls: 0.0406 loss: 0.0406 2022/08/10 18:24:52 - mmengine - INFO - Epoch(train) [5][2100/2881] lr: 7.3940e-02 eta: 3:04:29 time: 0.6892 data_time: 0.0231 memory: 15357 grad_norm: 0.1991 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.7402 recall@top3: 0.7059 prec@top3: 0.5686 recall@top5: 0.8333 prec@top5: 0.4118 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 18:25:06 - mmengine - INFO - Epoch(train) [5][2120/2881] lr: 7.3820e-02 eta: 3:04:13 time: 0.6914 data_time: 0.0204 memory: 15338 grad_norm: 0.1918 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.8109 recall@top3: 0.7788 prec@top3: 0.7436 recall@top5: 0.9519 prec@top5: 0.5538 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 18:25:21 - mmengine - INFO - Epoch(train) [5][2140/2881] lr: 7.3700e-02 eta: 3:03:59 time: 0.7338 data_time: 0.0233 memory: 15300 grad_norm: 0.1996 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7373 recall@top3: 0.8067 prec@top3: 0.6267 recall@top5: 0.9400 prec@top5: 0.4480 loss_action_cls: 0.0395 loss: 0.0395 2022/08/10 18:25:35 - mmengine - INFO - Epoch(train) [5][2160/2881] lr: 7.3580e-02 eta: 3:03:43 time: 0.6907 data_time: 0.0243 memory: 15491 grad_norm: 0.1939 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8786 recall@top3: 0.8643 prec@top3: 0.8190 recall@top5: 0.9905 prec@top5: 0.5829 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 18:25:48 - mmengine - INFO - Epoch(train) [5][2180/2881] lr: 7.3460e-02 eta: 3:03:28 time: 0.6913 data_time: 0.0247 memory: 15204 grad_norm: 0.2111 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7083 recall@top3: 0.8485 prec@top3: 0.5758 recall@top5: 0.9848 prec@top5: 0.4091 loss_action_cls: 0.0366 loss: 0.0366 2022/08/10 18:26:02 - mmengine - INFO - Epoch(train) [5][2200/2881] lr: 7.3340e-02 eta: 3:03:12 time: 0.6784 data_time: 0.0228 memory: 15529 grad_norm: 0.1936 recall@thr=0.5: 0.7469 prec@thr=0.5: 0.7562 recall@top3: 0.8025 prec@top3: 0.5802 recall@top5: 0.9815 prec@top5: 0.4148 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 18:26:16 - mmengine - INFO - Epoch(train) [5][2220/2881] lr: 7.3219e-02 eta: 3:02:57 time: 0.7121 data_time: 0.0223 memory: 15204 grad_norm: 0.1920 recall@thr=0.5: 0.7532 prec@thr=0.5: 0.8173 recall@top3: 0.8878 prec@top3: 0.7564 recall@top5: 0.9808 prec@top5: 0.5077 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 18:26:31 - mmengine - INFO - Epoch(train) [5][2240/2881] lr: 7.3098e-02 eta: 3:02:43 time: 0.7330 data_time: 0.0239 memory: 15529 grad_norm: 0.1997 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.7800 recall@top3: 0.7400 prec@top3: 0.8133 recall@top5: 0.9033 prec@top5: 0.5920 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:26:46 - mmengine - INFO - Epoch(train) [5][2260/2881] lr: 7.2977e-02 eta: 3:02:28 time: 0.7386 data_time: 0.0282 memory: 15338 grad_norm: 0.1857 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.7717 recall@top3: 0.8333 prec@top3: 0.6167 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 18:26:59 - mmengine - INFO - Epoch(train) [5][2280/2881] lr: 7.2856e-02 eta: 3:02:12 time: 0.6638 data_time: 0.0233 memory: 15452 grad_norm: 0.1846 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.9198 recall@top3: 0.7469 prec@top3: 0.7407 recall@top5: 0.9259 prec@top5: 0.5481 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 18:27:13 - mmengine - INFO - Epoch(train) [5][2300/2881] lr: 7.2735e-02 eta: 3:01:58 time: 0.7199 data_time: 0.0235 memory: 15376 grad_norm: 0.1974 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8750 recall@top3: 0.8229 prec@top3: 0.5833 recall@top5: 0.9688 prec@top5: 0.4250 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 18:27:27 - mmengine - INFO - Epoch(train) [5][2320/2881] lr: 7.2613e-02 eta: 3:01:42 time: 0.6831 data_time: 0.0285 memory: 15338 grad_norm: 0.2052 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8039 recall@top3: 0.7745 prec@top3: 0.4706 recall@top5: 0.9804 prec@top5: 0.3882 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 18:27:41 - mmengine - INFO - Epoch(train) [5][2340/2881] lr: 7.2492e-02 eta: 3:01:26 time: 0.6793 data_time: 0.0240 memory: 15376 grad_norm: 0.1901 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8715 recall@top3: 0.8611 prec@top3: 0.8194 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 18:27:55 - mmengine - INFO - Epoch(train) [5][2360/2881] lr: 7.2370e-02 eta: 3:01:12 time: 0.7401 data_time: 0.0225 memory: 15682 grad_norm: 0.1973 recall@thr=0.5: 0.7283 prec@thr=0.5: 0.6812 recall@top3: 0.8333 prec@top3: 0.6087 recall@top5: 0.9601 prec@top5: 0.4435 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 18:28:11 - mmengine - INFO - Epoch(train) [5][2380/2881] lr: 7.2248e-02 eta: 3:00:58 time: 0.7642 data_time: 0.0224 memory: 15357 grad_norm: 0.1823 recall@thr=0.5: 0.7242 prec@thr=0.5: 0.8124 recall@top3: 0.7812 prec@top3: 0.8172 recall@top5: 0.9269 prec@top5: 0.5935 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 18:28:26 - mmengine - INFO - Epoch(train) [5][2400/2881] lr: 7.2126e-02 eta: 3:00:44 time: 0.7468 data_time: 0.0231 memory: 15740 grad_norm: 0.1955 recall@thr=0.5: 0.5193 prec@thr=0.5: 0.7105 recall@top3: 0.6509 prec@top3: 0.6140 recall@top5: 0.9351 prec@top5: 0.5053 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 18:28:40 - mmengine - INFO - Epoch(train) [5][2420/2881] lr: 7.2003e-02 eta: 3:00:29 time: 0.6948 data_time: 0.0226 memory: 15491 grad_norm: 0.2011 recall@thr=0.5: 0.7891 prec@thr=0.5: 0.8949 recall@top3: 0.8457 prec@top3: 0.7101 recall@top5: 0.9188 prec@top5: 0.4870 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 18:28:53 - mmengine - INFO - Epoch(train) [5][2440/2881] lr: 7.1881e-02 eta: 3:00:13 time: 0.6798 data_time: 0.0231 memory: 15759 grad_norm: 0.1882 recall@thr=0.5: 0.6467 prec@thr=0.5: 0.7333 recall@top3: 0.8400 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 18:29:07 - mmengine - INFO - Epoch(train) [5][2460/2881] lr: 7.1758e-02 eta: 2:59:58 time: 0.7080 data_time: 0.0228 memory: 15376 grad_norm: 0.1843 recall@thr=0.5: 0.8179 prec@thr=0.5: 0.8782 recall@top3: 0.8436 prec@top3: 0.8077 recall@top5: 0.9731 prec@top5: 0.5385 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:29:18 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 18:29:21 - mmengine - INFO - Epoch(train) [5][2480/2881] lr: 7.1635e-02 eta: 2:59:43 time: 0.6854 data_time: 0.0246 memory: 15300 grad_norm: 0.2088 recall@thr=0.5: 0.5865 prec@thr=0.5: 0.7292 recall@top3: 0.7901 prec@top3: 0.6875 recall@top5: 0.9193 prec@top5: 0.4875 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:29:35 - mmengine - INFO - Epoch(train) [5][2500/2881] lr: 7.1512e-02 eta: 2:59:27 time: 0.6833 data_time: 0.0220 memory: 15338 grad_norm: 0.1962 recall@thr=0.5: 0.7792 prec@thr=0.5: 0.8875 recall@top3: 0.8075 prec@top3: 0.7667 recall@top5: 0.9350 prec@top5: 0.5700 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 18:29:48 - mmengine - INFO - Epoch(train) [5][2520/2881] lr: 7.1389e-02 eta: 2:59:12 time: 0.6842 data_time: 0.0231 memory: 15261 grad_norm: 0.1877 recall@thr=0.5: 0.7817 prec@thr=0.5: 0.7540 recall@top3: 0.8373 prec@top3: 0.6825 recall@top5: 0.9048 prec@top5: 0.4476 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 18:30:02 - mmengine - INFO - Epoch(train) [5][2540/2881] lr: 7.1266e-02 eta: 2:58:57 time: 0.7033 data_time: 0.0229 memory: 15414 grad_norm: 0.1880 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.5750 recall@top3: 0.6958 prec@top3: 0.5167 recall@top5: 0.9125 prec@top5: 0.4100 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 18:30:17 - mmengine - INFO - Epoch(train) [5][2560/2881] lr: 7.1143e-02 eta: 2:58:42 time: 0.7030 data_time: 0.0215 memory: 15376 grad_norm: 0.1952 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7879 recall@top3: 0.8447 prec@top3: 0.6515 recall@top5: 0.9356 prec@top5: 0.4364 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 18:30:31 - mmengine - INFO - Epoch(train) [5][2580/2881] lr: 7.1019e-02 eta: 2:58:27 time: 0.7263 data_time: 0.0218 memory: 15414 grad_norm: 0.2063 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8167 recall@top3: 0.9417 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.4600 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:30:45 - mmengine - INFO - Epoch(train) [5][2600/2881] lr: 7.0895e-02 eta: 2:58:11 time: 0.6787 data_time: 0.0227 memory: 15204 grad_norm: 0.2022 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.9015 recall@top3: 0.9091 prec@top3: 0.7727 recall@top5: 0.9697 prec@top5: 0.5000 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 18:30:59 - mmengine - INFO - Epoch(train) [5][2620/2881] lr: 7.0771e-02 eta: 2:57:56 time: 0.6959 data_time: 0.0240 memory: 15223 grad_norm: 0.1905 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7857 recall@top3: 0.8214 prec@top3: 0.6508 recall@top5: 0.9643 prec@top5: 0.4857 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 18:31:13 - mmengine - INFO - Epoch(train) [5][2640/2881] lr: 7.0647e-02 eta: 2:57:42 time: 0.7370 data_time: 0.0233 memory: 15376 grad_norm: 0.1933 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7103 recall@top3: 0.8889 prec@top3: 0.6032 recall@top5: 0.9365 prec@top5: 0.3905 loss_action_cls: 0.0364 loss: 0.0364 2022/08/10 18:31:27 - mmengine - INFO - Epoch(train) [5][2660/2881] lr: 7.0523e-02 eta: 2:57:26 time: 0.6689 data_time: 0.0233 memory: 15414 grad_norm: 0.1984 recall@thr=0.5: 0.9074 prec@thr=0.5: 0.8457 recall@top3: 0.9136 prec@top3: 0.6790 recall@top5: 0.9506 prec@top5: 0.4222 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 18:31:41 - mmengine - INFO - Epoch(train) [5][2680/2881] lr: 7.0399e-02 eta: 2:57:11 time: 0.7253 data_time: 0.0247 memory: 15318 grad_norm: 0.1910 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8571 recall@top3: 0.7698 prec@top3: 0.7460 recall@top5: 0.8770 prec@top5: 0.4952 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 18:31:55 - mmengine - INFO - Epoch(train) [5][2700/2881] lr: 7.0274e-02 eta: 2:56:56 time: 0.7103 data_time: 0.0224 memory: 15510 grad_norm: 0.1999 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8241 recall@top3: 0.8019 prec@top3: 0.7222 recall@top5: 0.9796 prec@top5: 0.5556 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 18:32:09 - mmengine - INFO - Epoch(train) [5][2720/2881] lr: 7.0149e-02 eta: 2:56:41 time: 0.6696 data_time: 0.0217 memory: 15261 grad_norm: 0.2091 recall@thr=0.5: 0.6543 prec@thr=0.5: 0.6173 recall@top3: 0.7716 prec@top3: 0.6420 recall@top5: 0.9630 prec@top5: 0.4741 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 18:32:22 - mmengine - INFO - Epoch(train) [5][2740/2881] lr: 7.0025e-02 eta: 2:56:25 time: 0.6751 data_time: 0.0230 memory: 15300 grad_norm: 0.2023 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8627 recall@top3: 0.8039 prec@top3: 0.5882 recall@top5: 0.9608 prec@top5: 0.4471 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:32:36 - mmengine - INFO - Epoch(train) [5][2760/2881] lr: 6.9900e-02 eta: 2:56:10 time: 0.6988 data_time: 0.0232 memory: 15414 grad_norm: 0.1980 recall@thr=0.5: 0.7550 prec@thr=0.5: 0.7208 recall@top3: 0.8592 prec@top3: 0.7167 recall@top5: 0.8942 prec@top5: 0.4600 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 18:32:51 - mmengine - INFO - Epoch(train) [5][2780/2881] lr: 6.9775e-02 eta: 2:55:56 time: 0.7468 data_time: 0.0224 memory: 15548 grad_norm: 0.1878 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.8596 recall@top3: 0.8465 prec@top3: 0.7368 recall@top5: 0.9649 prec@top5: 0.5158 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 18:33:05 - mmengine - INFO - Epoch(train) [5][2800/2881] lr: 6.9649e-02 eta: 2:55:41 time: 0.6977 data_time: 0.0231 memory: 15280 grad_norm: 0.2105 recall@thr=0.5: 0.7257 prec@thr=0.5: 0.8958 recall@top3: 0.8403 prec@top3: 0.7222 recall@top5: 0.9792 prec@top5: 0.5250 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 18:33:19 - mmengine - INFO - Epoch(train) [5][2820/2881] lr: 6.9524e-02 eta: 2:55:25 time: 0.6782 data_time: 0.0237 memory: 15338 grad_norm: 0.2116 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.6839 recall@top3: 0.7425 prec@top3: 0.6207 recall@top5: 0.8345 prec@top5: 0.4207 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 18:33:32 - mmengine - INFO - Epoch(train) [5][2840/2881] lr: 6.9398e-02 eta: 2:55:09 time: 0.6733 data_time: 0.0271 memory: 15433 grad_norm: 0.2124 recall@thr=0.5: 0.8413 prec@thr=0.5: 0.8492 recall@top3: 0.8492 prec@top3: 0.6825 recall@top5: 0.9683 prec@top5: 0.4857 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 18:33:46 - mmengine - INFO - Epoch(train) [5][2860/2881] lr: 6.9273e-02 eta: 2:54:54 time: 0.6918 data_time: 0.0224 memory: 15491 grad_norm: 0.1955 recall@thr=0.5: 0.5507 prec@thr=0.5: 0.5797 recall@top3: 0.6594 prec@top3: 0.5217 recall@top5: 0.7826 prec@top5: 0.3652 loss_action_cls: 0.0380 loss: 0.0380 2022/08/10 18:34:00 - mmengine - INFO - Epoch(train) [5][2880/2881] lr: 6.9147e-02 eta: 2:54:39 time: 0.7048 data_time: 0.0237 memory: 15395 grad_norm: 0.1958 recall@thr=0.5: 0.6701 prec@thr=0.5: 0.7569 recall@top3: 0.8125 prec@top3: 0.5833 recall@top5: 0.9479 prec@top5: 0.4167 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 18:34:02 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 18:34:02 - mmengine - INFO - Epoch(train) [5][2881/2881] lr: 6.9140e-02 eta: 2:54:39 time: 0.7218 data_time: 0.0246 memory: 15089 grad_norm: 0.1953 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7469 recall@top3: 0.6944 prec@top3: 0.5926 recall@top5: 0.8179 prec@top5: 0.4222 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 18:34:02 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/10 18:34:11 - mmengine - INFO - Epoch(val) [5][20/6282] eta: 0:07:30 time: 0.0720 data_time: 0.0222 memory: 1670 2022/08/10 18:34:12 - mmengine - INFO - Epoch(val) [5][40/6282] eta: 0:05:15 time: 0.0506 data_time: 0.0031 memory: 1670 2022/08/10 18:34:14 - mmengine - INFO - Epoch(val) [5][60/6282] eta: 0:07:43 time: 0.0745 data_time: 0.0034 memory: 1670 2022/08/10 18:34:15 - mmengine - INFO - Epoch(val) [5][80/6282] eta: 0:05:24 time: 0.0523 data_time: 0.0044 memory: 1670 2022/08/10 18:34:16 - mmengine - INFO - Epoch(val) [5][100/6282] eta: 0:05:24 time: 0.0525 data_time: 0.0054 memory: 1670 2022/08/10 18:34:17 - mmengine - INFO - Epoch(val) [5][120/6282] eta: 0:06:10 time: 0.0602 data_time: 0.0030 memory: 1704 2022/08/10 18:34:18 - mmengine - INFO - Epoch(val) [5][140/6282] eta: 0:06:40 time: 0.0652 data_time: 0.0037 memory: 1704 2022/08/10 18:34:20 - mmengine - INFO - Epoch(val) [5][160/6282] eta: 0:06:53 time: 0.0676 data_time: 0.0046 memory: 1704 2022/08/10 18:34:21 - mmengine - INFO - Epoch(val) [5][180/6282] eta: 0:09:38 time: 0.0947 data_time: 0.0044 memory: 1704 2022/08/10 18:34:23 - mmengine - INFO - Epoch(val) [5][200/6282] eta: 0:07:26 time: 0.0734 data_time: 0.0066 memory: 1704 2022/08/10 18:34:25 - mmengine - INFO - Epoch(val) [5][220/6282] eta: 0:08:36 time: 0.0852 data_time: 0.0049 memory: 1677 2022/08/10 18:34:26 - mmengine - INFO - Epoch(val) [5][240/6282] eta: 0:06:14 time: 0.0620 data_time: 0.0037 memory: 1677 2022/08/10 18:34:27 - mmengine - INFO - Epoch(val) [5][260/6282] eta: 0:05:33 time: 0.0554 data_time: 0.0033 memory: 1677 2022/08/10 18:34:28 - mmengine - INFO - Epoch(val) [5][280/6282] eta: 0:05:28 time: 0.0547 data_time: 0.0030 memory: 1677 2022/08/10 18:34:29 - mmengine - INFO - Epoch(val) [5][300/6282] eta: 0:06:03 time: 0.0608 data_time: 0.0041 memory: 1704 2022/08/10 18:34:31 - mmengine - INFO - Epoch(val) [5][320/6282] eta: 0:07:09 time: 0.0721 data_time: 0.0042 memory: 1906 2022/08/10 18:34:32 - mmengine - INFO - Epoch(val) [5][340/6282] eta: 0:07:43 time: 0.0781 data_time: 0.0078 memory: 1774 2022/08/10 18:34:34 - mmengine - INFO - Epoch(val) [5][360/6282] eta: 0:07:21 time: 0.0746 data_time: 0.0055 memory: 1840 2022/08/10 18:34:36 - mmengine - INFO - Epoch(val) [5][380/6282] eta: 0:09:21 time: 0.0951 data_time: 0.0047 memory: 1840 2022/08/10 18:34:37 - mmengine - INFO - Epoch(val) [5][400/6282] eta: 0:06:38 time: 0.0677 data_time: 0.0051 memory: 1704 2022/08/10 18:34:38 - mmengine - INFO - Epoch(val) [5][420/6282] eta: 0:05:11 time: 0.0531 data_time: 0.0035 memory: 1677 2022/08/10 18:34:39 - mmengine - INFO - Epoch(val) [5][440/6282] eta: 0:05:09 time: 0.0530 data_time: 0.0038 memory: 1677 2022/08/10 18:34:40 - mmengine - INFO - Epoch(val) [5][460/6282] eta: 0:05:16 time: 0.0544 data_time: 0.0031 memory: 1677 2022/08/10 18:34:41 - mmengine - INFO - Epoch(val) [5][480/6282] eta: 0:05:05 time: 0.0526 data_time: 0.0036 memory: 1677 2022/08/10 18:34:42 - mmengine - INFO - Epoch(val) [5][500/6282] eta: 0:05:14 time: 0.0543 data_time: 0.0037 memory: 1677 2022/08/10 18:34:44 - mmengine - INFO - Epoch(val) [5][520/6282] eta: 0:05:21 time: 0.0558 data_time: 0.0037 memory: 1677 2022/08/10 18:34:45 - mmengine - INFO - Epoch(val) [5][540/6282] eta: 0:05:33 time: 0.0581 data_time: 0.0039 memory: 1677 2022/08/10 18:34:46 - mmengine - INFO - Epoch(val) [5][560/6282] eta: 0:06:10 time: 0.0647 data_time: 0.0044 memory: 1677 2022/08/10 18:34:47 - mmengine - INFO - Epoch(val) [5][580/6282] eta: 0:05:25 time: 0.0570 data_time: 0.0042 memory: 1677 2022/08/10 18:34:48 - mmengine - INFO - Epoch(val) [5][600/6282] eta: 0:05:28 time: 0.0578 data_time: 0.0040 memory: 1677 2022/08/10 18:34:49 - mmengine - INFO - Epoch(val) [5][620/6282] eta: 0:04:59 time: 0.0530 data_time: 0.0036 memory: 1677 2022/08/10 18:34:50 - mmengine - INFO - Epoch(val) [5][640/6282] eta: 0:04:55 time: 0.0524 data_time: 0.0035 memory: 1675 2022/08/10 18:34:51 - mmengine - INFO - Epoch(val) [5][660/6282] eta: 0:04:38 time: 0.0495 data_time: 0.0031 memory: 1675 2022/08/10 18:34:52 - mmengine - INFO - Epoch(val) [5][680/6282] eta: 0:04:50 time: 0.0518 data_time: 0.0038 memory: 1675 2022/08/10 18:34:54 - mmengine - INFO - Epoch(val) [5][700/6282] eta: 0:05:26 time: 0.0585 data_time: 0.0043 memory: 1675 2022/08/10 18:34:56 - mmengine - INFO - Epoch(val) [5][720/6282] eta: 0:10:54 time: 0.1177 data_time: 0.0495 memory: 1939 2022/08/10 18:35:03 - mmengine - INFO - Epoch(val) [5][740/6282] eta: 0:33:12 time: 0.3595 data_time: 0.2866 memory: 1807 2022/08/10 18:35:07 - mmengine - INFO - Epoch(val) [5][760/6282] eta: 0:15:53 time: 0.1726 data_time: 0.1026 memory: 1774 2022/08/10 18:35:09 - mmengine - INFO - Epoch(val) [5][780/6282] eta: 0:10:50 time: 0.1181 data_time: 0.0503 memory: 1704 2022/08/10 18:35:12 - mmengine - INFO - Epoch(val) [5][800/6282] eta: 0:12:24 time: 0.1357 data_time: 0.0359 memory: 1704 2022/08/10 18:35:14 - mmengine - INFO - Epoch(val) [5][820/6282] eta: 0:08:05 time: 0.0888 data_time: 0.0320 memory: 1704 2022/08/10 18:35:15 - mmengine - INFO - Epoch(val) [5][840/6282] eta: 0:05:26 time: 0.0600 data_time: 0.0030 memory: 1722 2022/08/10 18:35:16 - mmengine - INFO - Epoch(val) [5][860/6282] eta: 0:05:19 time: 0.0590 data_time: 0.0041 memory: 1677 2022/08/10 18:35:17 - mmengine - INFO - Epoch(val) [5][880/6282] eta: 0:05:17 time: 0.0588 data_time: 0.0042 memory: 1677 2022/08/10 18:35:18 - mmengine - INFO - Epoch(val) [5][900/6282] eta: 0:05:19 time: 0.0593 data_time: 0.0040 memory: 1677 2022/08/10 18:35:20 - mmengine - INFO - Epoch(val) [5][920/6282] eta: 0:05:37 time: 0.0630 data_time: 0.0053 memory: 1697 2022/08/10 18:35:21 - mmengine - INFO - Epoch(val) [5][940/6282] eta: 0:05:21 time: 0.0602 data_time: 0.0036 memory: 1670 2022/08/10 18:35:22 - mmengine - INFO - Epoch(val) [5][960/6282] eta: 0:06:40 time: 0.0752 data_time: 0.0038 memory: 1670 2022/08/10 18:35:23 - mmengine - INFO - Epoch(val) [5][980/6282] eta: 0:04:45 time: 0.0539 data_time: 0.0044 memory: 1670 2022/08/10 18:35:25 - mmengine - INFO - Epoch(val) [5][1000/6282] eta: 0:05:05 time: 0.0578 data_time: 0.0048 memory: 1670 2022/08/10 18:35:26 - mmengine - INFO - Epoch(val) [5][1020/6282] eta: 0:05:02 time: 0.0575 data_time: 0.0046 memory: 1670 2022/08/10 18:35:27 - mmengine - INFO - Epoch(val) [5][1040/6282] eta: 0:05:04 time: 0.0580 data_time: 0.0049 memory: 1677 2022/08/10 18:35:28 - mmengine - INFO - Epoch(val) [5][1060/6282] eta: 0:05:04 time: 0.0582 data_time: 0.0041 memory: 1677 2022/08/10 18:35:29 - mmengine - INFO - Epoch(val) [5][1080/6282] eta: 0:05:00 time: 0.0578 data_time: 0.0055 memory: 1677 2022/08/10 18:35:30 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:05:21 time: 0.0621 data_time: 0.0048 memory: 1677 2022/08/10 18:35:32 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:05:11 time: 0.0603 data_time: 0.0039 memory: 1677 2022/08/10 18:35:37 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:23:58 time: 0.2798 data_time: 0.1980 memory: 1677 2022/08/10 18:35:38 - mmengine - INFO - Epoch(val) [5][1160/6282] eta: 0:05:02 time: 0.0590 data_time: 0.0034 memory: 1677 2022/08/10 18:35:40 - mmengine - INFO - Epoch(val) [5][1180/6282] eta: 0:04:52 time: 0.0573 data_time: 0.0034 memory: 1677 2022/08/10 18:35:41 - mmengine - INFO - Epoch(val) [5][1200/6282] eta: 0:05:54 time: 0.0698 data_time: 0.0036 memory: 1747 2022/08/10 18:35:42 - mmengine - INFO - Epoch(val) [5][1220/6282] eta: 0:05:00 time: 0.0594 data_time: 0.0034 memory: 1677 2022/08/10 18:35:46 - mmengine - INFO - Epoch(val) [5][1240/6282] eta: 0:15:35 time: 0.1856 data_time: 0.0923 memory: 1704 2022/08/10 18:35:49 - mmengine - INFO - Epoch(val) [5][1260/6282] eta: 0:12:09 time: 0.1453 data_time: 0.0817 memory: 1704 2022/08/10 18:35:52 - mmengine - INFO - Epoch(val) [5][1280/6282] eta: 0:15:24 time: 0.1849 data_time: 0.1194 memory: 1704 2022/08/10 18:35:55 - mmengine - INFO - Epoch(val) [5][1300/6282] eta: 0:12:12 time: 0.1470 data_time: 0.0647 memory: 1704 2022/08/10 18:35:59 - mmengine - INFO - Epoch(val) [5][1320/6282] eta: 0:14:48 time: 0.1791 data_time: 0.1101 memory: 1704 2022/08/10 18:36:02 - mmengine - INFO - Epoch(val) [5][1340/6282] eta: 0:11:33 time: 0.1403 data_time: 0.0739 memory: 1704 2022/08/10 18:36:05 - mmengine - INFO - Epoch(val) [5][1360/6282] eta: 0:13:57 time: 0.1701 data_time: 0.1002 memory: 1704 2022/08/10 18:36:08 - mmengine - INFO - Epoch(val) [5][1380/6282] eta: 0:10:59 time: 0.1346 data_time: 0.0710 memory: 1704 2022/08/10 18:36:11 - mmengine - INFO - Epoch(val) [5][1400/6282] eta: 0:12:06 time: 0.1488 data_time: 0.0779 memory: 1704 2022/08/10 18:36:13 - mmengine - INFO - Epoch(val) [5][1420/6282] eta: 0:10:04 time: 0.1243 data_time: 0.0623 memory: 1704 2022/08/10 18:36:15 - mmengine - INFO - Epoch(val) [5][1440/6282] eta: 0:07:33 time: 0.0937 data_time: 0.0269 memory: 1715 2022/08/10 18:36:17 - mmengine - INFO - Epoch(val) [5][1460/6282] eta: 0:05:50 time: 0.0727 data_time: 0.0050 memory: 1873 2022/08/10 18:36:18 - mmengine - INFO - Epoch(val) [5][1480/6282] eta: 0:05:35 time: 0.0698 data_time: 0.0040 memory: 1807 2022/08/10 18:36:20 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:05:29 time: 0.0689 data_time: 0.0035 memory: 1807 2022/08/10 18:36:21 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:05:50 time: 0.0736 data_time: 0.0044 memory: 1798 2022/08/10 18:36:23 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:07:01 time: 0.0890 data_time: 0.0057 memory: 1798 2022/08/10 18:36:24 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:06:33 time: 0.0833 data_time: 0.0043 memory: 1798 2022/08/10 18:36:26 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:06:35 time: 0.0841 data_time: 0.0050 memory: 1798 2022/08/10 18:36:28 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:06:31 time: 0.0837 data_time: 0.0056 memory: 1798 2022/08/10 18:36:30 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:06:50 time: 0.0880 data_time: 0.0055 memory: 1798 2022/08/10 18:36:31 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:06:10 time: 0.0797 data_time: 0.0058 memory: 1840 2022/08/10 18:36:33 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:05:23 time: 0.0700 data_time: 0.0040 memory: 1704 2022/08/10 18:36:34 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:05:00 time: 0.0653 data_time: 0.0040 memory: 1704 2022/08/10 18:36:35 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:05:47 time: 0.0758 data_time: 0.0049 memory: 1939 2022/08/10 18:36:37 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:05:51 time: 0.0770 data_time: 0.0040 memory: 1973 2022/08/10 18:36:39 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:05:57 time: 0.0786 data_time: 0.0040 memory: 1704 2022/08/10 18:36:40 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:05:12 time: 0.0691 data_time: 0.0045 memory: 1704 2022/08/10 18:36:41 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:05:13 time: 0.0696 data_time: 0.0042 memory: 1704 2022/08/10 18:36:43 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:05:25 time: 0.0727 data_time: 0.0045 memory: 1807 2022/08/10 18:36:44 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:05:35 time: 0.0752 data_time: 0.0047 memory: 1774 2022/08/10 18:36:46 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:05:19 time: 0.0719 data_time: 0.0045 memory: 1704 2022/08/10 18:36:48 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:10:04 time: 0.1366 data_time: 0.0774 memory: 1704 2022/08/10 18:36:51 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:10:05 time: 0.1375 data_time: 0.0685 memory: 1704 2022/08/10 18:36:55 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:12:02 time: 0.1648 data_time: 0.1019 memory: 1704 2022/08/10 18:36:57 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:08:23 time: 0.1155 data_time: 0.0509 memory: 1704 2022/08/10 18:36:59 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:08:40 time: 0.1199 data_time: 0.0465 memory: 1704 2022/08/10 18:37:00 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:03:57 time: 0.0549 data_time: 0.0038 memory: 1677 2022/08/10 18:37:01 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:04:00 time: 0.0559 data_time: 0.0049 memory: 1677 2022/08/10 18:37:03 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:04:09 time: 0.0582 data_time: 0.0047 memory: 1677 2022/08/10 18:37:04 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:04:10 time: 0.0588 data_time: 0.0043 memory: 1677 2022/08/10 18:37:05 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:04:11 time: 0.0593 data_time: 0.0039 memory: 1677 2022/08/10 18:37:06 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:04:04 time: 0.0580 data_time: 0.0050 memory: 1677 2022/08/10 18:37:07 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:04:02 time: 0.0578 data_time: 0.0045 memory: 1677 2022/08/10 18:37:08 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:03:51 time: 0.0554 data_time: 0.0044 memory: 1677 2022/08/10 18:37:10 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:05:35 time: 0.0805 data_time: 0.0049 memory: 1677 2022/08/10 18:37:12 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:05:27 time: 0.0790 data_time: 0.0100 memory: 1697 2022/08/10 18:37:13 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:04:13 time: 0.0615 data_time: 0.0049 memory: 1677 2022/08/10 18:37:14 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:04:10 time: 0.0612 data_time: 0.0050 memory: 1677 2022/08/10 18:37:15 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:04:09 time: 0.0610 data_time: 0.0047 memory: 1677 2022/08/10 18:37:16 - mmengine - INFO - Epoch(val) [5][2220/6282] eta: 0:04:01 time: 0.0595 data_time: 0.0051 memory: 1677 2022/08/10 18:37:18 - mmengine - INFO - Epoch(val) [5][2240/6282] eta: 0:04:09 time: 0.0618 data_time: 0.0048 memory: 1677 2022/08/10 18:37:19 - mmengine - INFO - Epoch(val) [5][2260/6282] eta: 0:04:04 time: 0.0607 data_time: 0.0037 memory: 1677 2022/08/10 18:37:20 - mmengine - INFO - Epoch(val) [5][2280/6282] eta: 0:04:06 time: 0.0617 data_time: 0.0055 memory: 1698 2022/08/10 18:37:22 - mmengine - INFO - Epoch(val) [5][2300/6282] eta: 0:05:17 time: 0.0798 data_time: 0.0048 memory: 1677 2022/08/10 18:37:23 - mmengine - INFO - Epoch(val) [5][2320/6282] eta: 0:03:51 time: 0.0585 data_time: 0.0046 memory: 1677 2022/08/10 18:37:24 - mmengine - INFO - Epoch(val) [5][2340/6282] eta: 0:04:03 time: 0.0619 data_time: 0.0056 memory: 1677 2022/08/10 18:37:25 - mmengine - INFO - Epoch(val) [5][2360/6282] eta: 0:03:54 time: 0.0597 data_time: 0.0054 memory: 1677 2022/08/10 18:37:27 - mmengine - INFO - Epoch(val) [5][2380/6282] eta: 0:03:52 time: 0.0595 data_time: 0.0044 memory: 1677 2022/08/10 18:37:28 - mmengine - INFO - Epoch(val) [5][2400/6282] eta: 0:04:00 time: 0.0618 data_time: 0.0056 memory: 1677 2022/08/10 18:37:29 - mmengine - INFO - Epoch(val) [5][2420/6282] eta: 0:03:46 time: 0.0586 data_time: 0.0049 memory: 1677 2022/08/10 18:37:30 - mmengine - INFO - Epoch(val) [5][2440/6282] eta: 0:03:54 time: 0.0611 data_time: 0.0041 memory: 1677 2022/08/10 18:37:32 - mmengine - INFO - Epoch(val) [5][2460/6282] eta: 0:05:28 time: 0.0858 data_time: 0.0083 memory: 1704 2022/08/10 18:37:33 - mmengine - INFO - Epoch(val) [5][2480/6282] eta: 0:04:50 time: 0.0764 data_time: 0.0057 memory: 1704 2022/08/10 18:37:35 - mmengine - INFO - Epoch(val) [5][2500/6282] eta: 0:05:17 time: 0.0839 data_time: 0.0158 memory: 1704 2022/08/10 18:37:37 - mmengine - INFO - Epoch(val) [5][2520/6282] eta: 0:05:07 time: 0.0818 data_time: 0.0113 memory: 1774 2022/08/10 18:37:39 - mmengine - INFO - Epoch(val) [5][2540/6282] eta: 0:06:05 time: 0.0978 data_time: 0.0304 memory: 1939 2022/08/10 18:37:42 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:09:10 time: 0.1480 data_time: 0.0632 memory: 1704 2022/08/10 18:37:45 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:10:38 time: 0.1726 data_time: 0.1054 memory: 1704 2022/08/10 18:37:48 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:09:22 time: 0.1527 data_time: 0.0835 memory: 1715 2022/08/10 18:37:52 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:10:50 time: 0.1777 data_time: 0.0891 memory: 1704 2022/08/10 18:37:55 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:09:03 time: 0.1492 data_time: 0.0835 memory: 1704 2022/08/10 18:37:56 - mmengine - INFO - Epoch(val) [5][2660/6282] eta: 0:04:51 time: 0.0806 data_time: 0.0051 memory: 1788 2022/08/10 18:37:58 - mmengine - INFO - Epoch(val) [5][2680/6282] eta: 0:05:13 time: 0.0870 data_time: 0.0063 memory: 1788 2022/08/10 18:38:00 - mmengine - INFO - Epoch(val) [5][2700/6282] eta: 0:05:00 time: 0.0840 data_time: 0.0051 memory: 1788 2022/08/10 18:38:02 - mmengine - INFO - Epoch(val) [5][2720/6282] eta: 0:04:55 time: 0.0831 data_time: 0.0050 memory: 1788 2022/08/10 18:38:03 - mmengine - INFO - Epoch(val) [5][2740/6282] eta: 0:04:58 time: 0.0842 data_time: 0.0047 memory: 1797 2022/08/10 18:38:04 - mmengine - INFO - Epoch(val) [5][2760/6282] eta: 0:03:15 time: 0.0556 data_time: 0.0043 memory: 1677 2022/08/10 18:38:05 - mmengine - INFO - Epoch(val) [5][2780/6282] eta: 0:03:25 time: 0.0588 data_time: 0.0052 memory: 1677 2022/08/10 18:38:07 - mmengine - INFO - Epoch(val) [5][2800/6282] eta: 0:03:27 time: 0.0595 data_time: 0.0035 memory: 1631 2022/08/10 18:38:08 - mmengine - INFO - Epoch(val) [5][2820/6282] eta: 0:03:23 time: 0.0589 data_time: 0.0042 memory: 1677 2022/08/10 18:38:09 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:03:42 time: 0.0645 data_time: 0.0042 memory: 1631 2022/08/10 18:38:11 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:04:46 time: 0.0838 data_time: 0.0049 memory: 1704 2022/08/10 18:38:12 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:04:15 time: 0.0750 data_time: 0.0068 memory: 1704 2022/08/10 18:38:14 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:04:52 time: 0.0866 data_time: 0.0056 memory: 1704 2022/08/10 18:38:15 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:03:31 time: 0.0629 data_time: 0.0039 memory: 1704 2022/08/10 18:38:17 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:03:26 time: 0.0618 data_time: 0.0046 memory: 1688 2022/08/10 18:38:18 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:03:32 time: 0.0640 data_time: 0.0046 memory: 1688 2022/08/10 18:38:19 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:03:24 time: 0.0620 data_time: 0.0045 memory: 1688 2022/08/10 18:38:20 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:03:27 time: 0.0633 data_time: 0.0044 memory: 1688 2022/08/10 18:38:22 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:03:33 time: 0.0654 data_time: 0.0044 memory: 1704 2022/08/10 18:38:23 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:03:35 time: 0.0665 data_time: 0.0042 memory: 1715 2022/08/10 18:38:24 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:03:46 time: 0.0702 data_time: 0.0047 memory: 1774 2022/08/10 18:38:26 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:04:36 time: 0.0863 data_time: 0.0037 memory: 1704 2022/08/10 18:38:27 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:03:26 time: 0.0650 data_time: 0.0042 memory: 1704 2022/08/10 18:38:29 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:02:54 time: 0.0553 data_time: 0.0046 memory: 1677 2022/08/10 18:38:30 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:02:51 time: 0.0546 data_time: 0.0042 memory: 1677 2022/08/10 18:38:31 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:03:28 time: 0.0669 data_time: 0.0070 memory: 1677 2022/08/10 18:38:32 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:03:17 time: 0.0638 data_time: 0.0103 memory: 1677 2022/08/10 18:38:34 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:03:24 time: 0.0663 data_time: 0.0042 memory: 1704 2022/08/10 18:38:35 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:03:51 time: 0.0757 data_time: 0.0066 memory: 1704 2022/08/10 18:38:37 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:04:47 time: 0.0945 data_time: 0.0038 memory: 1704 2022/08/10 18:38:38 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:03:23 time: 0.0674 data_time: 0.0039 memory: 1704 2022/08/10 18:38:40 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:03:34 time: 0.0714 data_time: 0.0048 memory: 1704 2022/08/10 18:38:41 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:03:42 time: 0.0748 data_time: 0.0041 memory: 1695 2022/08/10 18:38:43 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:03:25 time: 0.0694 data_time: 0.0041 memory: 1704 2022/08/10 18:38:44 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:03:31 time: 0.0720 data_time: 0.0040 memory: 1715 2022/08/10 18:38:46 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:03:23 time: 0.0697 data_time: 0.0039 memory: 1704 2022/08/10 18:38:47 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:03:15 time: 0.0675 data_time: 0.0057 memory: 1704 2022/08/10 18:38:49 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:04:10 time: 0.0869 data_time: 0.0041 memory: 1722 2022/08/10 18:38:50 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:02:45 time: 0.0578 data_time: 0.0042 memory: 1677 2022/08/10 18:38:51 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:02:44 time: 0.0579 data_time: 0.0055 memory: 1677 2022/08/10 18:38:52 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:02:58 time: 0.0631 data_time: 0.0044 memory: 1677 2022/08/10 18:38:53 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:02:52 time: 0.0615 data_time: 0.0043 memory: 1722 2022/08/10 18:38:55 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:02:37 time: 0.0565 data_time: 0.0036 memory: 1677 2022/08/10 18:38:56 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:02:27 time: 0.0534 data_time: 0.0042 memory: 1677 2022/08/10 18:38:57 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:02:33 time: 0.0560 data_time: 0.0042 memory: 1677 2022/08/10 18:38:58 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:03:45 time: 0.0830 data_time: 0.0042 memory: 1677 2022/08/10 18:39:00 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:02:37 time: 0.0582 data_time: 0.0049 memory: 1696 2022/08/10 18:39:01 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:03:01 time: 0.0677 data_time: 0.0046 memory: 1696 2022/08/10 18:39:02 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:03:11 time: 0.0721 data_time: 0.0046 memory: 1845 2022/08/10 18:39:04 - mmengine - INFO - Epoch(val) [5][3640/6282] eta: 0:02:50 time: 0.0644 data_time: 0.0047 memory: 1696 2022/08/10 18:39:05 - mmengine - INFO - Epoch(val) [5][3660/6282] eta: 0:03:09 time: 0.0723 data_time: 0.0080 memory: 1696 2022/08/10 18:39:07 - mmengine - INFO - Epoch(val) [5][3680/6282] eta: 0:03:01 time: 0.0698 data_time: 0.0062 memory: 1704 2022/08/10 18:39:08 - mmengine - INFO - Epoch(val) [5][3700/6282] eta: 0:03:19 time: 0.0771 data_time: 0.0106 memory: 1704 2022/08/10 18:39:10 - mmengine - INFO - Epoch(val) [5][3720/6282] eta: 0:04:16 time: 0.1001 data_time: 0.0125 memory: 1704 2022/08/10 18:39:12 - mmengine - INFO - Epoch(val) [5][3740/6282] eta: 0:02:55 time: 0.0690 data_time: 0.0066 memory: 1704 2022/08/10 18:39:13 - mmengine - INFO - Epoch(val) [5][3760/6282] eta: 0:02:56 time: 0.0702 data_time: 0.0050 memory: 1704 2022/08/10 18:39:15 - mmengine - INFO - Epoch(val) [5][3780/6282] eta: 0:04:21 time: 0.1046 data_time: 0.0080 memory: 1704 2022/08/10 18:39:16 - mmengine - INFO - Epoch(val) [5][3800/6282] eta: 0:02:57 time: 0.0715 data_time: 0.0041 memory: 1704 2022/08/10 18:39:18 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:03:26 time: 0.0839 data_time: 0.0177 memory: 1704 2022/08/10 18:39:20 - mmengine - INFO - Epoch(val) [5][3840/6282] eta: 0:03:12 time: 0.0788 data_time: 0.0113 memory: 1704 2022/08/10 18:39:22 - mmengine - INFO - Epoch(val) [5][3860/6282] eta: 0:04:22 time: 0.1085 data_time: 0.0149 memory: 1704 2022/08/10 18:39:23 - mmengine - INFO - Epoch(val) [5][3880/6282] eta: 0:02:53 time: 0.0721 data_time: 0.0049 memory: 1704 2022/08/10 18:39:25 - mmengine - INFO - Epoch(val) [5][3900/6282] eta: 0:02:47 time: 0.0703 data_time: 0.0054 memory: 1704 2022/08/10 18:39:26 - mmengine - INFO - Epoch(val) [5][3920/6282] eta: 0:03:01 time: 0.0768 data_time: 0.0155 memory: 1704 2022/08/10 18:39:28 - mmengine - INFO - Epoch(val) [5][3940/6282] eta: 0:03:24 time: 0.0875 data_time: 0.0231 memory: 1704 2022/08/10 18:39:30 - mmengine - INFO - Epoch(val) [5][3960/6282] eta: 0:03:03 time: 0.0790 data_time: 0.0096 memory: 1715 2022/08/10 18:39:31 - mmengine - INFO - Epoch(val) [5][3980/6282] eta: 0:02:59 time: 0.0778 data_time: 0.0059 memory: 1715 2022/08/10 18:39:33 - mmengine - INFO - Epoch(val) [5][4000/6282] eta: 0:03:33 time: 0.0936 data_time: 0.0048 memory: 1715 2022/08/10 18:39:34 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:02:29 time: 0.0659 data_time: 0.0045 memory: 1704 2022/08/10 18:39:36 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:02:37 time: 0.0702 data_time: 0.0041 memory: 1788 2022/08/10 18:39:37 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:02:59 time: 0.0808 data_time: 0.0044 memory: 1788 2022/08/10 18:39:39 - mmengine - INFO - Epoch(val) [5][4080/6282] eta: 0:03:03 time: 0.0832 data_time: 0.0061 memory: 1788 2022/08/10 18:39:41 - mmengine - INFO - Epoch(val) [5][4100/6282] eta: 0:03:04 time: 0.0847 data_time: 0.0096 memory: 1788 2022/08/10 18:39:42 - mmengine - INFO - Epoch(val) [5][4120/6282] eta: 0:02:55 time: 0.0811 data_time: 0.0048 memory: 1788 2022/08/10 18:39:44 - mmengine - INFO - Epoch(val) [5][4140/6282] eta: 0:02:28 time: 0.0692 data_time: 0.0042 memory: 1788 2022/08/10 18:39:45 - mmengine - INFO - Epoch(val) [5][4160/6282] eta: 0:02:01 time: 0.0575 data_time: 0.0035 memory: 1677 2022/08/10 18:39:47 - mmengine - INFO - Epoch(val) [5][4180/6282] eta: 0:02:46 time: 0.0792 data_time: 0.0039 memory: 1677 2022/08/10 18:39:48 - mmengine - INFO - Epoch(val) [5][4200/6282] eta: 0:01:50 time: 0.0533 data_time: 0.0037 memory: 1677 2022/08/10 18:39:49 - mmengine - INFO - Epoch(val) [5][4220/6282] eta: 0:01:52 time: 0.0544 data_time: 0.0044 memory: 1677 2022/08/10 18:39:50 - mmengine - INFO - Epoch(val) [5][4240/6282] eta: 0:01:54 time: 0.0560 data_time: 0.0049 memory: 1677 2022/08/10 18:39:51 - mmengine - INFO - Epoch(val) [5][4260/6282] eta: 0:02:01 time: 0.0599 data_time: 0.0041 memory: 1677 2022/08/10 18:39:52 - mmengine - INFO - Epoch(val) [5][4280/6282] eta: 0:01:51 time: 0.0555 data_time: 0.0042 memory: 1677 2022/08/10 18:39:53 - mmengine - INFO - Epoch(val) [5][4300/6282] eta: 0:01:56 time: 0.0590 data_time: 0.0043 memory: 1677 2022/08/10 18:39:54 - mmengine - INFO - Epoch(val) [5][4320/6282] eta: 0:01:50 time: 0.0562 data_time: 0.0042 memory: 1677 2022/08/10 18:39:56 - mmengine - INFO - Epoch(val) [5][4340/6282] eta: 0:01:49 time: 0.0561 data_time: 0.0044 memory: 1677 2022/08/10 18:39:57 - mmengine - INFO - Epoch(val) [5][4360/6282] eta: 0:02:46 time: 0.0867 data_time: 0.0042 memory: 1704 2022/08/10 18:39:59 - mmengine - INFO - Epoch(val) [5][4380/6282] eta: 0:01:59 time: 0.0627 data_time: 0.0042 memory: 1704 2022/08/10 18:40:00 - mmengine - INFO - Epoch(val) [5][4400/6282] eta: 0:01:59 time: 0.0637 data_time: 0.0041 memory: 1704 2022/08/10 18:40:01 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:02:01 time: 0.0655 data_time: 0.0045 memory: 1704 2022/08/10 18:40:03 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:02:03 time: 0.0671 data_time: 0.0042 memory: 1707 2022/08/10 18:40:04 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:01:56 time: 0.0641 data_time: 0.0040 memory: 1707 2022/08/10 18:40:05 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:02:00 time: 0.0668 data_time: 0.0045 memory: 1707 2022/08/10 18:40:06 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:01:58 time: 0.0664 data_time: 0.0043 memory: 1707 2022/08/10 18:40:08 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:02:39 time: 0.0905 data_time: 0.0043 memory: 1724 2022/08/10 18:40:09 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:39 time: 0.0570 data_time: 0.0045 memory: 1724 2022/08/10 18:40:11 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:44 time: 0.0608 data_time: 0.0046 memory: 1679 2022/08/10 18:40:12 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:39 time: 0.0587 data_time: 0.0040 memory: 1679 2022/08/10 18:40:13 - mmengine - INFO - Epoch(val) [5][4600/6282] eta: 0:01:33 time: 0.0557 data_time: 0.0037 memory: 1679 2022/08/10 18:40:14 - mmengine - INFO - Epoch(val) [5][4620/6282] eta: 0:01:41 time: 0.0613 data_time: 0.0044 memory: 1679 2022/08/10 18:40:16 - mmengine - INFO - Epoch(val) [5][4640/6282] eta: 0:01:51 time: 0.0682 data_time: 0.0051 memory: 1707 2022/08/10 18:40:17 - mmengine - INFO - Epoch(val) [5][4660/6282] eta: 0:01:48 time: 0.0669 data_time: 0.0038 memory: 1707 2022/08/10 18:40:19 - mmengine - INFO - Epoch(val) [5][4680/6282] eta: 0:02:30 time: 0.0937 data_time: 0.0043 memory: 1707 2022/08/10 18:40:20 - mmengine - INFO - Epoch(val) [5][4700/6282] eta: 0:01:47 time: 0.0681 data_time: 0.0046 memory: 1707 2022/08/10 18:40:22 - mmengine - INFO - Epoch(val) [5][4720/6282] eta: 0:01:55 time: 0.0739 data_time: 0.0058 memory: 1707 2022/08/10 18:40:27 - mmengine - INFO - Epoch(val) [5][4740/6282] eta: 0:06:49 time: 0.2654 data_time: 0.2085 memory: 1688 2022/08/10 18:40:29 - mmengine - INFO - Epoch(val) [5][4760/6282] eta: 0:02:15 time: 0.0891 data_time: 0.0045 memory: 1729 2022/08/10 18:40:30 - mmengine - INFO - Epoch(val) [5][4780/6282] eta: 0:01:27 time: 0.0581 data_time: 0.0046 memory: 1688 2022/08/10 18:40:31 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:38 time: 0.0662 data_time: 0.0043 memory: 1688 2022/08/10 18:40:32 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:01:31 time: 0.0628 data_time: 0.0045 memory: 1704 2022/08/10 18:40:34 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:39 time: 0.0687 data_time: 0.0044 memory: 1704 2022/08/10 18:40:35 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:34 time: 0.0668 data_time: 0.0049 memory: 1704 2022/08/10 18:40:37 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:01:34 time: 0.0675 data_time: 0.0052 memory: 1704 2022/08/10 18:40:38 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:35 time: 0.0693 data_time: 0.0047 memory: 1704 2022/08/10 18:40:39 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:32 time: 0.0682 data_time: 0.0054 memory: 1704 2022/08/10 18:40:41 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:02:07 time: 0.0951 data_time: 0.0061 memory: 1704 2022/08/10 18:40:43 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:34 time: 0.0713 data_time: 0.0046 memory: 1704 2022/08/10 18:40:44 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:32 time: 0.0713 data_time: 0.0046 memory: 1704 2022/08/10 18:40:46 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:01:30 time: 0.0703 data_time: 0.0042 memory: 1704 2022/08/10 18:40:47 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:01:17 time: 0.0615 data_time: 0.0041 memory: 1704 2022/08/10 18:40:48 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:01:10 time: 0.0566 data_time: 0.0057 memory: 1677 2022/08/10 18:40:49 - mmengine - INFO - Epoch(val) [5][5060/6282] eta: 0:01:14 time: 0.0607 data_time: 0.0046 memory: 1677 2022/08/10 18:40:50 - mmengine - INFO - Epoch(val) [5][5080/6282] eta: 0:01:17 time: 0.0643 data_time: 0.0042 memory: 1723 2022/08/10 18:40:52 - mmengine - INFO - Epoch(val) [5][5100/6282] eta: 0:01:14 time: 0.0631 data_time: 0.0046 memory: 1677 2022/08/10 18:40:53 - mmengine - INFO - Epoch(val) [5][5120/6282] eta: 0:01:08 time: 0.0592 data_time: 0.0039 memory: 1677 2022/08/10 18:40:54 - mmengine - INFO - Epoch(val) [5][5140/6282] eta: 0:01:01 time: 0.0542 data_time: 0.0043 memory: 1677 2022/08/10 18:40:55 - mmengine - INFO - Epoch(val) [5][5160/6282] eta: 0:01:04 time: 0.0578 data_time: 0.0038 memory: 1677 2022/08/10 18:40:56 - mmengine - INFO - Epoch(val) [5][5180/6282] eta: 0:01:04 time: 0.0583 data_time: 0.0032 memory: 1677 2022/08/10 18:40:57 - mmengine - INFO - Epoch(val) [5][5200/6282] eta: 0:01:02 time: 0.0579 data_time: 0.0033 memory: 1677 2022/08/10 18:40:59 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:01:01 time: 0.0576 data_time: 0.0035 memory: 1677 2022/08/10 18:41:00 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:01:05 time: 0.0626 data_time: 0.0051 memory: 1773 2022/08/10 18:41:02 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:01:29 time: 0.0871 data_time: 0.0037 memory: 1677 2022/08/10 18:41:03 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:01:00 time: 0.0608 data_time: 0.0039 memory: 1697 2022/08/10 18:41:04 - mmengine - INFO - Epoch(val) [5][5300/6282] eta: 0:01:00 time: 0.0614 data_time: 0.0056 memory: 1677 2022/08/10 18:41:05 - mmengine - INFO - Epoch(val) [5][5320/6282] eta: 0:00:54 time: 0.0568 data_time: 0.0038 memory: 1677 2022/08/10 18:41:06 - mmengine - INFO - Epoch(val) [5][5340/6282] eta: 0:00:56 time: 0.0602 data_time: 0.0054 memory: 1677 2022/08/10 18:41:07 - mmengine - INFO - Epoch(val) [5][5360/6282] eta: 0:00:50 time: 0.0550 data_time: 0.0041 memory: 1677 2022/08/10 18:41:09 - mmengine - INFO - Epoch(val) [5][5380/6282] eta: 0:00:58 time: 0.0654 data_time: 0.0046 memory: 1747 2022/08/10 18:41:10 - mmengine - INFO - Epoch(val) [5][5400/6282] eta: 0:00:52 time: 0.0597 data_time: 0.0047 memory: 1677 2022/08/10 18:41:11 - mmengine - INFO - Epoch(val) [5][5420/6282] eta: 0:00:49 time: 0.0576 data_time: 0.0037 memory: 1677 2022/08/10 18:41:12 - mmengine - INFO - Epoch(val) [5][5440/6282] eta: 0:00:45 time: 0.0542 data_time: 0.0045 memory: 1677 2022/08/10 18:41:13 - mmengine - INFO - Epoch(val) [5][5460/6282] eta: 0:00:45 time: 0.0554 data_time: 0.0053 memory: 1677 2022/08/10 18:41:15 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:00:46 time: 0.0575 data_time: 0.0040 memory: 1677 2022/08/10 18:41:16 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:00:44 time: 0.0571 data_time: 0.0051 memory: 1677 2022/08/10 18:41:17 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:43 time: 0.0573 data_time: 0.0043 memory: 1686 2022/08/10 18:41:18 - mmengine - INFO - Epoch(val) [5][5540/6282] eta: 0:00:49 time: 0.0674 data_time: 0.0051 memory: 1686 2022/08/10 18:41:19 - mmengine - INFO - Epoch(val) [5][5560/6282] eta: 0:00:45 time: 0.0631 data_time: 0.0049 memory: 1686 2022/08/10 18:41:21 - mmengine - INFO - Epoch(val) [5][5580/6282] eta: 0:01:00 time: 0.0867 data_time: 0.0049 memory: 1686 2022/08/10 18:41:22 - mmengine - INFO - Epoch(val) [5][5600/6282] eta: 0:00:39 time: 0.0580 data_time: 0.0044 memory: 1686 2022/08/10 18:41:23 - mmengine - INFO - Epoch(val) [5][5620/6282] eta: 0:00:37 time: 0.0568 data_time: 0.0044 memory: 1686 2022/08/10 18:41:25 - mmengine - INFO - Epoch(val) [5][5640/6282] eta: 0:00:36 time: 0.0565 data_time: 0.0039 memory: 1677 2022/08/10 18:41:26 - mmengine - INFO - Epoch(val) [5][5660/6282] eta: 0:00:35 time: 0.0564 data_time: 0.0038 memory: 1677 2022/08/10 18:41:27 - mmengine - INFO - Epoch(val) [5][5680/6282] eta: 0:00:33 time: 0.0555 data_time: 0.0051 memory: 1677 2022/08/10 18:41:28 - mmengine - INFO - Epoch(val) [5][5700/6282] eta: 0:00:31 time: 0.0541 data_time: 0.0047 memory: 1677 2022/08/10 18:41:29 - mmengine - INFO - Epoch(val) [5][5720/6282] eta: 0:00:33 time: 0.0591 data_time: 0.0044 memory: 1692 2022/08/10 18:41:30 - mmengine - INFO - Epoch(val) [5][5740/6282] eta: 0:00:34 time: 0.0642 data_time: 0.0050 memory: 1692 2022/08/10 18:41:32 - mmengine - INFO - Epoch(val) [5][5760/6282] eta: 0:00:35 time: 0.0686 data_time: 0.0057 memory: 1692 2022/08/10 18:41:33 - mmengine - INFO - Epoch(val) [5][5780/6282] eta: 0:00:34 time: 0.0689 data_time: 0.0053 memory: 1740 2022/08/10 18:41:35 - mmengine - INFO - Epoch(val) [5][5800/6282] eta: 0:00:31 time: 0.0662 data_time: 0.0049 memory: 1692 2022/08/10 18:41:36 - mmengine - INFO - Epoch(val) [5][5820/6282] eta: 0:00:31 time: 0.0688 data_time: 0.0062 memory: 1692 2022/08/10 18:41:37 - mmengine - INFO - Epoch(val) [5][5840/6282] eta: 0:00:27 time: 0.0612 data_time: 0.0044 memory: 1686 2022/08/10 18:41:38 - mmengine - INFO - Epoch(val) [5][5860/6282] eta: 0:00:23 time: 0.0557 data_time: 0.0033 memory: 1686 2022/08/10 18:41:39 - mmengine - INFO - Epoch(val) [5][5880/6282] eta: 0:00:24 time: 0.0619 data_time: 0.0053 memory: 1686 2022/08/10 18:41:41 - mmengine - INFO - Epoch(val) [5][5900/6282] eta: 0:00:22 time: 0.0589 data_time: 0.0042 memory: 1686 2022/08/10 18:41:42 - mmengine - INFO - Epoch(val) [5][5920/6282] eta: 0:00:29 time: 0.0815 data_time: 0.0048 memory: 1686 2022/08/10 18:41:43 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:17 time: 0.0513 data_time: 0.0033 memory: 1677 2022/08/10 18:41:44 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:16 time: 0.0525 data_time: 0.0032 memory: 1677 2022/08/10 18:41:45 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:15 time: 0.0512 data_time: 0.0034 memory: 1677 2022/08/10 18:41:47 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:17 time: 0.0623 data_time: 0.0033 memory: 1704 2022/08/10 18:41:48 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:17 time: 0.0652 data_time: 0.0039 memory: 1704 2022/08/10 18:41:49 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:15 time: 0.0647 data_time: 0.0038 memory: 1704 2022/08/10 18:41:51 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:14 time: 0.0675 data_time: 0.0037 memory: 1715 2022/08/10 18:41:52 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:15 time: 0.0760 data_time: 0.0068 memory: 1715 2022/08/10 18:41:53 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:12 time: 0.0675 data_time: 0.0042 memory: 1873 2022/08/10 18:41:55 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:11 time: 0.0688 data_time: 0.0033 memory: 1704 2022/08/10 18:41:56 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:10 time: 0.0724 data_time: 0.0033 memory: 1840 2022/08/10 18:41:58 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:08 time: 0.0711 data_time: 0.0039 memory: 1840 2022/08/10 18:41:59 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:06 time: 0.0664 data_time: 0.0034 memory: 1704 2022/08/10 18:42:00 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:04 time: 0.0588 data_time: 0.0032 memory: 1704 2022/08/10 18:42:02 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:04 time: 0.0676 data_time: 0.0029 memory: 1704 2022/08/10 18:42:03 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:02 time: 0.0588 data_time: 0.0027 memory: 1704 2022/08/10 18:42:04 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:01 time: 0.0570 data_time: 0.0026 memory: 1704 2022/08/10 18:42:05 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0635 data_time: 0.0026 memory: 1704 2022/08/10 18:47:02 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.2703 2022/08/10 18:47:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_5.pth is removed 2022/08/10 18:47:09 - mmengine - INFO - The best checkpoint with 0.2703 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2022/08/10 18:47:24 - mmengine - INFO - Epoch(train) [6][20/2881] lr: 6.9014e-02 eta: 2:54:24 time: 0.7707 data_time: 0.1171 memory: 15165 grad_norm: 0.1947 recall@thr=0.5: 0.7535 prec@thr=0.5: 0.8229 recall@top3: 0.9132 prec@top3: 0.7917 recall@top5: 0.9653 prec@top5: 0.5167 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 18:47:38 - mmengine - INFO - Epoch(train) [6][40/2881] lr: 6.8888e-02 eta: 2:54:09 time: 0.6899 data_time: 0.0220 memory: 15376 grad_norm: 0.1964 recall@thr=0.5: 0.7720 prec@thr=0.5: 0.8233 recall@top3: 0.8307 prec@top3: 0.6400 recall@top5: 0.9533 prec@top5: 0.4560 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 18:47:52 - mmengine - INFO - Epoch(train) [6][60/2881] lr: 6.8762e-02 eta: 2:53:54 time: 0.7114 data_time: 0.0207 memory: 15223 grad_norm: 0.1836 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8214 recall@top3: 0.8810 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 18:48:06 - mmengine - INFO - Epoch(train) [6][80/2881] lr: 6.8636e-02 eta: 2:53:39 time: 0.6930 data_time: 0.0257 memory: 15395 grad_norm: 0.2038 recall@thr=0.5: 0.7867 prec@thr=0.5: 0.9200 recall@top3: 0.8467 prec@top3: 0.8267 recall@top5: 0.9133 prec@top5: 0.5440 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 18:48:20 - mmengine - INFO - Epoch(train) [6][100/2881] lr: 6.8509e-02 eta: 2:53:23 time: 0.6854 data_time: 0.0219 memory: 15242 grad_norm: 0.1894 recall@thr=0.5: 0.7271 prec@thr=0.5: 0.8125 recall@top3: 0.7667 prec@top3: 0.5625 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 18:48:34 - mmengine - INFO - Epoch(train) [6][120/2881] lr: 6.8382e-02 eta: 2:53:08 time: 0.7058 data_time: 0.0211 memory: 15318 grad_norm: 0.1844 recall@thr=0.5: 1.0000 prec@thr=0.5: 1.0000 recall@top3: 0.9583 prec@top3: 0.8889 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 18:48:48 - mmengine - INFO - Epoch(train) [6][140/2881] lr: 6.8256e-02 eta: 2:52:54 time: 0.7152 data_time: 0.0242 memory: 15300 grad_norm: 0.1855 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.8095 recall@top3: 0.7659 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:49:03 - mmengine - INFO - Epoch(train) [6][160/2881] lr: 6.8129e-02 eta: 2:52:39 time: 0.7317 data_time: 0.0220 memory: 15395 grad_norm: 0.2064 recall@thr=0.5: 0.8009 prec@thr=0.5: 0.8796 recall@top3: 0.8472 prec@top3: 0.8148 recall@top5: 0.9537 prec@top5: 0.5667 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 18:49:16 - mmengine - INFO - Epoch(train) [6][180/2881] lr: 6.8002e-02 eta: 2:52:24 time: 0.6826 data_time: 0.0220 memory: 15395 grad_norm: 0.2004 recall@thr=0.5: 0.5401 prec@thr=0.5: 0.6994 recall@top3: 0.7377 prec@top3: 0.6173 recall@top5: 0.8395 prec@top5: 0.4296 loss_action_cls: 0.0405 loss: 0.0405 2022/08/10 18:49:30 - mmengine - INFO - Epoch(train) [6][200/2881] lr: 6.7874e-02 eta: 2:52:08 time: 0.6910 data_time: 0.0220 memory: 15223 grad_norm: 0.2092 recall@thr=0.5: 0.7306 prec@thr=0.5: 0.7986 recall@top3: 0.7583 prec@top3: 0.6944 recall@top5: 0.9222 prec@top5: 0.5250 loss_action_cls: 0.0368 loss: 0.0368 2022/08/10 18:49:44 - mmengine - INFO - Epoch(train) [6][220/2881] lr: 6.7747e-02 eta: 2:51:53 time: 0.7025 data_time: 0.0222 memory: 15376 grad_norm: 0.1985 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.8542 prec@top3: 0.6458 recall@top5: 0.9219 prec@top5: 0.4375 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 18:49:58 - mmengine - INFO - Epoch(train) [6][240/2881] lr: 6.7619e-02 eta: 2:51:38 time: 0.6707 data_time: 0.0228 memory: 15338 grad_norm: 0.1945 recall@thr=0.5: 0.8135 prec@thr=0.5: 0.7603 recall@top3: 0.8690 prec@top3: 0.7778 recall@top5: 0.9762 prec@top5: 0.5524 loss_action_cls: 0.0381 loss: 0.0381 2022/08/10 18:50:13 - mmengine - INFO - Epoch(train) [6][260/2881] lr: 6.7492e-02 eta: 2:51:23 time: 0.7403 data_time: 0.0225 memory: 15376 grad_norm: 0.1894 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8860 recall@top3: 0.8114 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4842 loss_action_cls: 0.0339 loss: 0.0339 2022/08/10 18:50:27 - mmengine - INFO - Epoch(train) [6][280/2881] lr: 6.7364e-02 eta: 2:51:09 time: 0.7195 data_time: 0.0252 memory: 15395 grad_norm: 0.1988 recall@thr=0.5: 0.4949 prec@thr=0.5: 0.6957 recall@top3: 0.7116 prec@top3: 0.6957 recall@top5: 0.8551 prec@top5: 0.5130 loss_action_cls: 0.0404 loss: 0.0404 2022/08/10 18:50:41 - mmengine - INFO - Epoch(train) [6][300/2881] lr: 6.7236e-02 eta: 2:50:54 time: 0.7159 data_time: 0.0236 memory: 15376 grad_norm: 0.1823 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9111 recall@top3: 1.0000 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0305 loss: 0.0305 2022/08/10 18:50:56 - mmengine - INFO - Epoch(train) [6][320/2881] lr: 6.7108e-02 eta: 2:50:39 time: 0.7217 data_time: 0.0252 memory: 15300 grad_norm: 0.1991 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.8442 recall@top3: 0.8659 prec@top3: 0.7971 recall@top5: 0.9565 prec@top5: 0.5391 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 18:51:09 - mmengine - INFO - Epoch(train) [6][340/2881] lr: 6.6980e-02 eta: 2:50:23 time: 0.6517 data_time: 0.0224 memory: 15261 grad_norm: 0.2038 recall@thr=0.5: 0.8488 prec@thr=0.5: 0.9198 recall@top3: 0.9167 prec@top3: 0.7531 recall@top5: 0.9907 prec@top5: 0.4889 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 18:51:24 - mmengine - INFO - Epoch(train) [6][360/2881] lr: 6.6852e-02 eta: 2:50:09 time: 0.7450 data_time: 0.0315 memory: 15280 grad_norm: 0.2059 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.9414 recall@top3: 0.8642 prec@top3: 0.6543 recall@top5: 0.9259 prec@top5: 0.4370 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:51:49 - mmengine - INFO - Epoch(train) [6][380/2881] lr: 6.6723e-02 eta: 2:50:05 time: 1.2703 data_time: 0.0649 memory: 15280 grad_norm: 0.2014 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8636 recall@top3: 0.9242 prec@top3: 0.6667 recall@top5: 0.9773 prec@top5: 0.4364 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 18:52:03 - mmengine - INFO - Epoch(train) [6][400/2881] lr: 6.6595e-02 eta: 2:49:50 time: 0.7046 data_time: 0.0322 memory: 15300 grad_norm: 0.2062 recall@thr=0.5: 0.8636 prec@thr=0.5: 0.7765 recall@top3: 0.9318 prec@top3: 0.6818 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 18:52:17 - mmengine - INFO - Epoch(train) [6][420/2881] lr: 6.6466e-02 eta: 2:49:35 time: 0.6838 data_time: 0.0307 memory: 15280 grad_norm: 0.2049 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.7138 recall@top3: 0.6674 prec@top3: 0.5652 recall@top5: 0.8406 prec@top5: 0.4435 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 18:52:31 - mmengine - INFO - Epoch(train) [6][440/2881] lr: 6.6337e-02 eta: 2:49:19 time: 0.6931 data_time: 0.0210 memory: 15586 grad_norm: 0.2019 recall@thr=0.5: 0.6297 prec@thr=0.5: 0.6585 recall@top3: 0.6907 prec@top3: 0.6829 recall@top5: 0.9382 prec@top5: 0.5366 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 18:52:44 - mmengine - INFO - Epoch(train) [6][460/2881] lr: 6.6209e-02 eta: 2:49:04 time: 0.6823 data_time: 0.0269 memory: 15300 grad_norm: 0.2360 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6947 recall@top3: 0.6272 prec@top3: 0.5789 recall@top5: 0.8421 prec@top5: 0.4737 loss_action_cls: 0.0388 loss: 0.0388 2022/08/10 18:52:58 - mmengine - INFO - Epoch(train) [6][480/2881] lr: 6.6080e-02 eta: 2:48:49 time: 0.6869 data_time: 0.0228 memory: 15261 grad_norm: 0.2012 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8519 recall@top3: 0.8198 prec@top3: 0.8025 recall@top5: 0.9926 prec@top5: 0.6222 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 18:53:11 - mmengine - INFO - Epoch(train) [6][500/2881] lr: 6.5950e-02 eta: 2:48:33 time: 0.6619 data_time: 0.0216 memory: 15452 grad_norm: 0.1937 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7273 recall@top3: 0.8598 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.4182 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 18:53:25 - mmengine - INFO - Epoch(train) [6][520/2881] lr: 6.5821e-02 eta: 2:48:18 time: 0.6865 data_time: 0.0228 memory: 15529 grad_norm: 0.2003 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.6863 recall@top3: 0.8235 prec@top3: 0.4706 recall@top5: 0.9412 prec@top5: 0.3176 loss_action_cls: 0.0363 loss: 0.0363 2022/08/10 18:53:39 - mmengine - INFO - Epoch(train) [6][540/2881] lr: 6.5692e-02 eta: 2:48:02 time: 0.6828 data_time: 0.0232 memory: 15300 grad_norm: 0.2003 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8333 recall@top3: 0.8095 prec@top3: 0.7302 recall@top5: 0.9683 prec@top5: 0.5333 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 18:53:53 - mmengine - INFO - Epoch(train) [6][560/2881] lr: 6.5562e-02 eta: 2:47:47 time: 0.6989 data_time: 0.0218 memory: 15318 grad_norm: 0.2200 recall@thr=0.5: 0.8678 prec@thr=0.5: 0.8534 recall@top3: 0.8759 prec@top3: 0.7356 recall@top5: 0.9552 prec@top5: 0.5034 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 18:54:06 - mmengine - INFO - Epoch(train) [6][580/2881] lr: 6.5433e-02 eta: 2:47:32 time: 0.6709 data_time: 0.0268 memory: 15242 grad_norm: 0.2069 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.9167 recall@top3: 0.8750 prec@top3: 0.7738 recall@top5: 0.9643 prec@top5: 0.5214 loss_action_cls: 0.0356 loss: 0.0356 2022/08/10 18:54:16 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 18:54:20 - mmengine - INFO - Epoch(train) [6][600/2881] lr: 6.5303e-02 eta: 2:47:16 time: 0.6840 data_time: 0.0215 memory: 15280 grad_norm: 0.2146 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.9762 recall@top3: 0.9167 prec@top3: 0.8730 recall@top5: 1.0000 prec@top5: 0.5810 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 18:54:34 - mmengine - INFO - Epoch(train) [6][620/2881] lr: 6.5173e-02 eta: 2:47:02 time: 0.7261 data_time: 0.0294 memory: 15261 grad_norm: 0.1954 recall@thr=0.5: 0.5644 prec@thr=0.5: 0.8111 recall@top3: 0.7911 prec@top3: 0.6000 recall@top5: 0.8844 prec@top5: 0.4267 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 18:54:48 - mmengine - INFO - Epoch(train) [6][640/2881] lr: 6.5043e-02 eta: 2:46:46 time: 0.6906 data_time: 0.0236 memory: 15242 grad_norm: 0.1914 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7440 recall@top3: 0.7768 prec@top3: 0.5714 recall@top5: 0.8839 prec@top5: 0.4071 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 18:55:03 - mmengine - INFO - Epoch(train) [6][660/2881] lr: 6.4913e-02 eta: 2:46:33 time: 0.7651 data_time: 0.0268 memory: 15300 grad_norm: 0.2144 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.7276 recall@top3: 0.7724 prec@top3: 0.7179 recall@top5: 0.8974 prec@top5: 0.5077 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 18:55:17 - mmengine - INFO - Epoch(train) [6][680/2881] lr: 6.4783e-02 eta: 2:46:18 time: 0.6941 data_time: 0.0227 memory: 15338 grad_norm: 0.2092 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.6701 recall@top3: 0.8819 prec@top3: 0.6250 recall@top5: 0.9306 prec@top5: 0.4000 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 18:55:31 - mmengine - INFO - Epoch(train) [6][700/2881] lr: 6.4653e-02 eta: 2:46:02 time: 0.6924 data_time: 0.0288 memory: 15357 grad_norm: 0.1944 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.7273 recall@top3: 0.7348 prec@top3: 0.6061 recall@top5: 0.8409 prec@top5: 0.4000 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 18:55:45 - mmengine - INFO - Epoch(train) [6][720/2881] lr: 6.4522e-02 eta: 2:45:47 time: 0.7026 data_time: 0.0211 memory: 15280 grad_norm: 0.1981 recall@thr=0.5: 0.7270 prec@thr=0.5: 0.8161 recall@top3: 0.8391 prec@top3: 0.6552 recall@top5: 0.9511 prec@top5: 0.4621 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 18:55:59 - mmengine - INFO - Epoch(train) [6][740/2881] lr: 6.4392e-02 eta: 2:45:32 time: 0.6874 data_time: 0.0234 memory: 15204 grad_norm: 0.1935 recall@thr=0.5: 0.4348 prec@thr=0.5: 0.6014 recall@top3: 0.6522 prec@top3: 0.6522 recall@top5: 0.8370 prec@top5: 0.4870 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 18:56:14 - mmengine - INFO - Epoch(train) [6][760/2881] lr: 6.4261e-02 eta: 2:45:18 time: 0.7356 data_time: 0.0236 memory: 15318 grad_norm: 0.1832 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.7061 recall@top3: 0.8202 prec@top3: 0.6491 recall@top5: 0.9254 prec@top5: 0.4421 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 18:56:28 - mmengine - INFO - Epoch(train) [6][780/2881] lr: 6.4131e-02 eta: 2:45:03 time: 0.7170 data_time: 0.0278 memory: 15338 grad_norm: 0.1867 recall@thr=0.5: 0.6959 prec@thr=0.5: 0.8696 recall@top3: 0.7302 prec@top3: 0.7536 recall@top5: 0.9379 prec@top5: 0.5913 loss_action_cls: 0.0355 loss: 0.0355 2022/08/10 18:56:42 - mmengine - INFO - Epoch(train) [6][800/2881] lr: 6.4000e-02 eta: 2:44:48 time: 0.6934 data_time: 0.0212 memory: 15338 grad_norm: 0.1864 recall@thr=0.5: 0.7038 prec@thr=0.5: 0.8144 recall@top3: 0.7833 prec@top3: 0.6364 recall@top5: 0.8962 prec@top5: 0.4636 loss_action_cls: 0.0346 loss: 0.0346 2022/08/10 18:56:57 - mmengine - INFO - Epoch(train) [6][820/2881] lr: 6.3869e-02 eta: 2:44:34 time: 0.7597 data_time: 0.0222 memory: 15395 grad_norm: 0.1950 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8021 recall@top3: 0.8021 prec@top3: 0.6458 recall@top5: 0.8750 prec@top5: 0.4250 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 18:57:11 - mmengine - INFO - Epoch(train) [6][840/2881] lr: 6.3738e-02 eta: 2:44:19 time: 0.6812 data_time: 0.0223 memory: 15318 grad_norm: 0.1996 recall@thr=0.5: 0.9259 prec@thr=0.5: 0.8315 recall@top3: 0.8796 prec@top3: 0.8704 recall@top5: 1.0000 prec@top5: 0.6111 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 18:57:26 - mmengine - INFO - Epoch(train) [6][860/2881] lr: 6.3607e-02 eta: 2:44:04 time: 0.7460 data_time: 0.0228 memory: 15433 grad_norm: 0.2004 recall@thr=0.5: 0.5841 prec@thr=0.5: 0.7652 recall@top3: 0.6227 prec@top3: 0.5909 recall@top5: 0.8220 prec@top5: 0.5000 loss_action_cls: 0.0386 loss: 0.0386 2022/08/10 18:57:39 - mmengine - INFO - Epoch(train) [6][880/2881] lr: 6.3476e-02 eta: 2:43:49 time: 0.6941 data_time: 0.0313 memory: 15376 grad_norm: 0.1918 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.7333 recall@top3: 0.8611 prec@top3: 0.6778 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 18:57:53 - mmengine - INFO - Epoch(train) [6][900/2881] lr: 6.3344e-02 eta: 2:43:34 time: 0.6827 data_time: 0.0229 memory: 15376 grad_norm: 0.2132 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7544 recall@top3: 0.7544 prec@top3: 0.6316 recall@top5: 0.8509 prec@top5: 0.4316 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 18:58:06 - mmengine - INFO - Epoch(train) [6][920/2881] lr: 6.3213e-02 eta: 2:43:18 time: 0.6636 data_time: 0.0232 memory: 15625 grad_norm: 0.2069 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.7500 recall@top3: 0.7636 prec@top3: 0.6818 recall@top5: 0.8894 prec@top5: 0.5000 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 18:58:21 - mmengine - INFO - Epoch(train) [6][940/2881] lr: 6.3081e-02 eta: 2:43:04 time: 0.7435 data_time: 0.0238 memory: 15280 grad_norm: 0.1934 recall@thr=0.5: 0.7173 prec@thr=0.5: 0.9383 recall@top3: 0.9272 prec@top3: 0.7531 recall@top5: 0.9877 prec@top5: 0.4963 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 18:58:35 - mmengine - INFO - Epoch(train) [6][960/2881] lr: 6.2950e-02 eta: 2:42:49 time: 0.7096 data_time: 0.0221 memory: 15338 grad_norm: 0.1923 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.5795 recall@top3: 0.8258 prec@top3: 0.5303 recall@top5: 0.9545 prec@top5: 0.3818 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 18:58:49 - mmengine - INFO - Epoch(train) [6][980/2881] lr: 6.2818e-02 eta: 2:42:34 time: 0.6801 data_time: 0.0222 memory: 15376 grad_norm: 0.2001 recall@thr=0.5: 0.6450 prec@thr=0.5: 0.7750 recall@top3: 0.8450 prec@top3: 0.6833 recall@top5: 0.9900 prec@top5: 0.4900 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 18:59:05 - mmengine - INFO - Epoch(train) [6][1000/2881] lr: 6.2686e-02 eta: 2:42:20 time: 0.7874 data_time: 0.0217 memory: 15433 grad_norm: 0.1883 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.9000 recall@top3: 0.9167 prec@top3: 0.6444 recall@top5: 0.9167 prec@top5: 0.3867 loss_action_cls: 0.0359 loss: 0.0359 2022/08/10 18:59:19 - mmengine - INFO - Epoch(train) [6][1020/2881] lr: 6.2554e-02 eta: 2:42:06 time: 0.7064 data_time: 0.0235 memory: 15644 grad_norm: 0.2125 recall@thr=0.5: 0.7135 prec@thr=0.5: 0.8359 recall@top3: 0.7240 prec@top3: 0.6562 recall@top5: 0.8854 prec@top5: 0.4687 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 18:59:33 - mmengine - INFO - Epoch(train) [6][1040/2881] lr: 6.2422e-02 eta: 2:41:50 time: 0.6959 data_time: 0.0249 memory: 15242 grad_norm: 0.1924 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7731 recall@top3: 0.9167 prec@top3: 0.6296 recall@top5: 0.9537 prec@top5: 0.4000 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 18:59:48 - mmengine - INFO - Epoch(train) [6][1060/2881] lr: 6.2290e-02 eta: 2:41:36 time: 0.7415 data_time: 0.0222 memory: 15357 grad_norm: 0.1807 recall@thr=0.5: 0.8063 prec@thr=0.5: 0.7984 recall@top3: 0.8635 prec@top3: 0.7619 recall@top5: 0.9492 prec@top5: 0.5238 loss_action_cls: 0.0326 loss: 0.0326 2022/08/10 19:00:02 - mmengine - INFO - Epoch(train) [6][1080/2881] lr: 6.2158e-02 eta: 2:41:21 time: 0.7162 data_time: 0.0242 memory: 15338 grad_norm: 0.2027 recall@thr=0.5: 0.8365 prec@thr=0.5: 0.8730 recall@top3: 0.7603 prec@top3: 0.8254 recall@top5: 0.9667 prec@top5: 0.6667 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 19:00:16 - mmengine - INFO - Epoch(train) [6][1100/2881] lr: 6.2026e-02 eta: 2:41:06 time: 0.6853 data_time: 0.0231 memory: 15357 grad_norm: 0.1895 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.8478 recall@top3: 0.8442 prec@top3: 0.6667 recall@top5: 0.9565 prec@top5: 0.4522 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 19:00:30 - mmengine - INFO - Epoch(train) [6][1120/2881] lr: 6.1893e-02 eta: 2:40:51 time: 0.6955 data_time: 0.0253 memory: 15433 grad_norm: 0.1859 recall@thr=0.5: 0.7931 prec@thr=0.5: 0.8080 recall@top3: 0.8420 prec@top3: 0.7701 recall@top5: 0.9195 prec@top5: 0.5172 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 19:00:43 - mmengine - INFO - Epoch(train) [6][1140/2881] lr: 6.1761e-02 eta: 2:40:36 time: 0.6821 data_time: 0.0210 memory: 15338 grad_norm: 0.1956 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7045 recall@top3: 0.6970 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.5545 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 19:00:57 - mmengine - INFO - Epoch(train) [6][1160/2881] lr: 6.1629e-02 eta: 2:40:21 time: 0.6917 data_time: 0.0232 memory: 15280 grad_norm: 0.1953 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.7900 recall@top3: 0.8867 prec@top3: 0.6400 recall@top5: 0.9800 prec@top5: 0.4320 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 19:01:11 - mmengine - INFO - Epoch(train) [6][1180/2881] lr: 6.1496e-02 eta: 2:40:05 time: 0.6762 data_time: 0.0207 memory: 15223 grad_norm: 0.1941 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8636 recall@top3: 0.8258 prec@top3: 0.8182 recall@top5: 0.9242 prec@top5: 0.5636 loss_action_cls: 0.0326 loss: 0.0326 2022/08/10 19:01:25 - mmengine - INFO - Epoch(train) [6][1200/2881] lr: 6.1363e-02 eta: 2:39:51 time: 0.7163 data_time: 0.0222 memory: 15261 grad_norm: 0.2178 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.7500 recall@top3: 0.7210 prec@top3: 0.6812 recall@top5: 0.9348 prec@top5: 0.5565 loss_action_cls: 0.0379 loss: 0.0379 2022/08/10 19:01:39 - mmengine - INFO - Epoch(train) [6][1220/2881] lr: 6.1230e-02 eta: 2:39:36 time: 0.6975 data_time: 0.0246 memory: 15357 grad_norm: 0.2099 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.7071 recall@top3: 0.7556 prec@top3: 0.6984 recall@top5: 0.9524 prec@top5: 0.5429 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:01:53 - mmengine - INFO - Epoch(train) [6][1240/2881] lr: 6.1098e-02 eta: 2:39:21 time: 0.6927 data_time: 0.0233 memory: 15204 grad_norm: 0.2030 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.6296 recall@top3: 0.9352 prec@top3: 0.5370 recall@top5: 1.0000 prec@top5: 0.3556 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 19:02:08 - mmengine - INFO - Epoch(train) [6][1260/2881] lr: 6.0965e-02 eta: 2:39:07 time: 0.7541 data_time: 0.0216 memory: 15567 grad_norm: 0.2040 recall@thr=0.5: 0.7526 prec@thr=0.5: 0.8158 recall@top3: 0.7526 prec@top3: 0.6667 recall@top5: 0.9219 prec@top5: 0.5263 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 19:02:23 - mmengine - INFO - Epoch(train) [6][1280/2881] lr: 6.0832e-02 eta: 2:38:52 time: 0.7417 data_time: 0.0308 memory: 15395 grad_norm: 0.1993 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8772 recall@top3: 0.8596 prec@top3: 0.8246 recall@top5: 0.9825 prec@top5: 0.5684 loss_action_cls: 0.0290 loss: 0.0290 2022/08/10 19:02:37 - mmengine - INFO - Epoch(train) [6][1300/2881] lr: 6.0698e-02 eta: 2:38:38 time: 0.7378 data_time: 0.0239 memory: 15318 grad_norm: 0.2040 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.7500 recall@top3: 0.8768 prec@top3: 0.7681 recall@top5: 0.9420 prec@top5: 0.5130 loss_action_cls: 0.0354 loss: 0.0354 2022/08/10 19:02:51 - mmengine - INFO - Epoch(train) [6][1320/2881] lr: 6.0565e-02 eta: 2:38:23 time: 0.6810 data_time: 0.0256 memory: 15414 grad_norm: 0.2030 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7917 recall@top3: 0.8183 prec@top3: 0.7333 recall@top5: 0.8833 prec@top5: 0.5000 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 19:03:05 - mmengine - INFO - Epoch(train) [6][1340/2881] lr: 6.0432e-02 eta: 2:38:08 time: 0.6960 data_time: 0.0225 memory: 15280 grad_norm: 0.2005 recall@thr=0.5: 0.8200 prec@thr=0.5: 0.8107 recall@top3: 0.8633 prec@top3: 0.7067 recall@top5: 0.9600 prec@top5: 0.4960 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:03:18 - mmengine - INFO - Epoch(train) [6][1360/2881] lr: 6.0299e-02 eta: 2:37:52 time: 0.6747 data_time: 0.0226 memory: 15338 grad_norm: 0.1920 recall@thr=0.5: 0.8904 prec@thr=0.5: 0.8553 recall@top3: 0.8904 prec@top3: 0.6842 recall@top5: 0.9561 prec@top5: 0.4526 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 19:03:32 - mmengine - INFO - Epoch(train) [6][1380/2881] lr: 6.0165e-02 eta: 2:37:37 time: 0.6545 data_time: 0.0213 memory: 15300 grad_norm: 0.1875 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7431 recall@top3: 0.7847 prec@top3: 0.6667 recall@top5: 0.9201 prec@top5: 0.4833 loss_action_cls: 0.0336 loss: 0.0336 2022/08/10 19:03:47 - mmengine - INFO - Epoch(train) [6][1400/2881] lr: 6.0032e-02 eta: 2:37:23 time: 0.7718 data_time: 0.0271 memory: 15414 grad_norm: 0.1857 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7381 recall@top3: 0.7500 prec@top3: 0.6508 recall@top5: 0.9246 prec@top5: 0.4857 loss_action_cls: 0.0370 loss: 0.0370 2022/08/10 19:04:01 - mmengine - INFO - Epoch(train) [6][1420/2881] lr: 5.9898e-02 eta: 2:37:08 time: 0.6900 data_time: 0.0232 memory: 15338 grad_norm: 0.1925 recall@thr=0.5: 0.5950 prec@thr=0.5: 0.7750 recall@top3: 0.8100 prec@top3: 0.6167 recall@top5: 0.8633 prec@top5: 0.4100 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 19:04:15 - mmengine - INFO - Epoch(train) [6][1440/2881] lr: 5.9765e-02 eta: 2:36:53 time: 0.7176 data_time: 0.0257 memory: 15338 grad_norm: 0.1744 recall@thr=0.5: 0.6779 prec@thr=0.5: 0.6951 recall@top3: 0.6775 prec@top3: 0.6078 recall@top5: 0.8858 prec@top5: 0.4647 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 19:04:29 - mmengine - INFO - Epoch(train) [6][1460/2881] lr: 5.9631e-02 eta: 2:36:38 time: 0.7007 data_time: 0.0250 memory: 15338 grad_norm: 0.2046 recall@thr=0.5: 0.6882 prec@thr=0.5: 0.7957 recall@top3: 0.8226 prec@top3: 0.6022 recall@top5: 0.9570 prec@top5: 0.4065 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 19:04:42 - mmengine - INFO - Epoch(train) [6][1480/2881] lr: 5.9497e-02 eta: 2:36:22 time: 0.6573 data_time: 0.0213 memory: 15395 grad_norm: 0.1898 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.6522 recall@top3: 0.6739 prec@top3: 0.5507 recall@top5: 0.9275 prec@top5: 0.4522 loss_action_cls: 0.0360 loss: 0.0360 2022/08/10 19:04:57 - mmengine - INFO - Epoch(train) [6][1500/2881] lr: 5.9363e-02 eta: 2:36:08 time: 0.7376 data_time: 0.0191 memory: 15510 grad_norm: 0.2071 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.7738 recall@top3: 0.9048 prec@top3: 0.6825 recall@top5: 0.9167 prec@top5: 0.4190 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 19:05:11 - mmengine - INFO - Epoch(train) [6][1520/2881] lr: 5.9229e-02 eta: 2:35:53 time: 0.7093 data_time: 0.0257 memory: 15548 grad_norm: 0.2035 recall@thr=0.5: 0.7326 prec@thr=0.5: 0.7536 recall@top3: 0.7949 prec@top3: 0.6667 recall@top5: 0.9826 prec@top5: 0.5043 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 19:05:25 - mmengine - INFO - Epoch(train) [6][1540/2881] lr: 5.9095e-02 eta: 2:35:38 time: 0.7067 data_time: 0.0213 memory: 15376 grad_norm: 0.1910 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.9259 recall@top3: 0.8296 prec@top3: 0.7901 recall@top5: 0.9389 prec@top5: 0.5630 loss_action_cls: 0.0373 loss: 0.0373 2022/08/10 19:05:39 - mmengine - INFO - Epoch(train) [6][1560/2881] lr: 5.8961e-02 eta: 2:35:23 time: 0.6947 data_time: 0.0217 memory: 15510 grad_norm: 0.1970 recall@thr=0.5: 0.4342 prec@thr=0.5: 0.6316 recall@top3: 0.6667 prec@top3: 0.5088 recall@top5: 0.8684 prec@top5: 0.3789 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 19:05:53 - mmengine - INFO - Epoch(train) [6][1580/2881] lr: 5.8827e-02 eta: 2:35:08 time: 0.6901 data_time: 0.0237 memory: 15318 grad_norm: 0.1978 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.9105 recall@top3: 0.9321 prec@top3: 0.6173 recall@top5: 0.9753 prec@top5: 0.4000 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 19:06:04 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 19:06:08 - mmengine - INFO - Epoch(train) [6][1600/2881] lr: 5.8693e-02 eta: 2:34:54 time: 0.7298 data_time: 0.0254 memory: 15529 grad_norm: 0.1867 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.7647 recall@top3: 0.8284 prec@top3: 0.6863 recall@top5: 0.9216 prec@top5: 0.4588 loss_action_cls: 0.0369 loss: 0.0369 2022/08/10 19:06:23 - mmengine - INFO - Epoch(train) [6][1620/2881] lr: 5.8559e-02 eta: 2:34:40 time: 0.7711 data_time: 0.0283 memory: 15433 grad_norm: 0.1950 recall@thr=0.5: 0.6507 prec@thr=0.5: 0.8437 recall@top3: 0.6951 prec@top3: 0.7083 recall@top5: 0.9139 prec@top5: 0.5917 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 19:06:37 - mmengine - INFO - Epoch(train) [6][1640/2881] lr: 5.8424e-02 eta: 2:34:25 time: 0.6924 data_time: 0.0223 memory: 15376 grad_norm: 0.1899 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.8768 recall@top3: 0.9275 prec@top3: 0.6232 recall@top5: 0.9420 prec@top5: 0.3826 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 19:06:51 - mmengine - INFO - Epoch(train) [6][1660/2881] lr: 5.8290e-02 eta: 2:34:10 time: 0.6912 data_time: 0.0221 memory: 15318 grad_norm: 0.1926 recall@thr=0.5: 0.6968 prec@thr=0.5: 0.7949 recall@top3: 0.7551 prec@top3: 0.7308 recall@top5: 0.8468 prec@top5: 0.5077 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 19:07:05 - mmengine - INFO - Epoch(train) [6][1680/2881] lr: 5.8155e-02 eta: 2:33:55 time: 0.7209 data_time: 0.0235 memory: 15491 grad_norm: 0.1937 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7899 recall@top3: 0.7065 prec@top3: 0.7246 recall@top5: 0.9058 prec@top5: 0.5652 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 19:07:19 - mmengine - INFO - Epoch(train) [6][1700/2881] lr: 5.8021e-02 eta: 2:33:40 time: 0.6718 data_time: 0.0244 memory: 15318 grad_norm: 0.2017 recall@thr=0.5: 0.7190 prec@thr=0.5: 0.8333 recall@top3: 0.8667 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0339 loss: 0.0339 2022/08/10 19:07:32 - mmengine - INFO - Epoch(train) [6][1720/2881] lr: 5.7886e-02 eta: 2:33:25 time: 0.6728 data_time: 0.0209 memory: 15165 grad_norm: 0.1975 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.8200 recall@top3: 0.8500 prec@top3: 0.8000 recall@top5: 0.9200 prec@top5: 0.5360 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 19:07:46 - mmengine - INFO - Epoch(train) [6][1740/2881] lr: 5.7752e-02 eta: 2:33:09 time: 0.6696 data_time: 0.0230 memory: 15204 grad_norm: 0.2021 recall@thr=0.5: 0.6667 prec@thr=0.5: 1.0000 recall@top3: 0.8571 prec@top3: 0.7143 recall@top5: 0.9683 prec@top5: 0.4952 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 19:08:01 - mmengine - INFO - Epoch(train) [6][1760/2881] lr: 5.7617e-02 eta: 2:32:55 time: 0.7496 data_time: 0.0238 memory: 15318 grad_norm: 0.2037 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.6944 recall@top3: 0.8160 prec@top3: 0.6944 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 19:08:15 - mmengine - INFO - Epoch(train) [6][1780/2881] lr: 5.7482e-02 eta: 2:32:40 time: 0.7098 data_time: 0.0244 memory: 15338 grad_norm: 0.1942 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.6905 recall@top3: 0.8016 prec@top3: 0.6825 recall@top5: 0.9325 prec@top5: 0.4952 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 19:08:29 - mmengine - INFO - Epoch(train) [6][1800/2881] lr: 5.7347e-02 eta: 2:32:25 time: 0.6927 data_time: 0.0221 memory: 15261 grad_norm: 0.1883 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8509 recall@top3: 0.8860 prec@top3: 0.7193 recall@top5: 0.9649 prec@top5: 0.4737 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:08:43 - mmengine - INFO - Epoch(train) [6][1820/2881] lr: 5.7213e-02 eta: 2:32:11 time: 0.7435 data_time: 0.0240 memory: 15338 grad_norm: 0.1922 recall@thr=0.5: 0.6821 prec@thr=0.5: 0.8025 recall@top3: 0.8241 prec@top3: 0.7160 recall@top5: 0.9475 prec@top5: 0.5111 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 19:08:57 - mmengine - INFO - Epoch(train) [6][1840/2881] lr: 5.7078e-02 eta: 2:31:56 time: 0.6868 data_time: 0.0247 memory: 15300 grad_norm: 0.1941 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8667 recall@top3: 0.8667 prec@top3: 0.7067 recall@top5: 0.9400 prec@top5: 0.4720 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 19:09:11 - mmengine - INFO - Epoch(train) [6][1860/2881] lr: 5.6943e-02 eta: 2:31:41 time: 0.7109 data_time: 0.0216 memory: 15280 grad_norm: 0.2002 recall@thr=0.5: 0.6801 prec@thr=0.5: 0.6763 recall@top3: 0.7846 prec@top3: 0.6282 recall@top5: 0.9250 prec@top5: 0.4692 loss_action_cls: 0.0326 loss: 0.0326 2022/08/10 19:09:26 - mmengine - INFO - Epoch(train) [6][1880/2881] lr: 5.6808e-02 eta: 2:31:27 time: 0.7122 data_time: 0.0241 memory: 15395 grad_norm: 0.1875 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8190 recall@top3: 0.7615 prec@top3: 0.7126 recall@top5: 0.9425 prec@top5: 0.5448 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 19:09:40 - mmengine - INFO - Epoch(train) [6][1900/2881] lr: 5.6673e-02 eta: 2:31:12 time: 0.6972 data_time: 0.0253 memory: 15395 grad_norm: 0.1986 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8519 recall@top3: 0.7389 prec@top3: 0.6667 recall@top5: 0.9568 prec@top5: 0.5185 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 19:09:54 - mmengine - INFO - Epoch(train) [6][1920/2881] lr: 5.6538e-02 eta: 2:30:57 time: 0.7343 data_time: 0.0248 memory: 15338 grad_norm: 0.1987 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8159 recall@top3: 0.8188 prec@top3: 0.6522 recall@top5: 0.9348 prec@top5: 0.4609 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 19:10:08 - mmengine - INFO - Epoch(train) [6][1940/2881] lr: 5.6402e-02 eta: 2:30:42 time: 0.6954 data_time: 0.0227 memory: 15338 grad_norm: 0.2022 recall@thr=0.5: 0.8736 prec@thr=0.5: 0.7902 recall@top3: 0.8678 prec@top3: 0.6437 recall@top5: 0.9655 prec@top5: 0.4414 loss_action_cls: 0.0375 loss: 0.0375 2022/08/10 19:10:22 - mmengine - INFO - Epoch(train) [6][1960/2881] lr: 5.6267e-02 eta: 2:30:27 time: 0.6944 data_time: 0.0235 memory: 15280 grad_norm: 0.1868 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8611 recall@top3: 0.9340 prec@top3: 0.8056 recall@top5: 0.9792 prec@top5: 0.5167 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 19:10:36 - mmengine - INFO - Epoch(train) [6][1980/2881] lr: 5.6132e-02 eta: 2:30:12 time: 0.7025 data_time: 0.0224 memory: 15491 grad_norm: 0.1854 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7917 recall@top3: 0.8889 prec@top3: 0.5972 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 19:10:50 - mmengine - INFO - Epoch(train) [6][2000/2881] lr: 5.5997e-02 eta: 2:29:58 time: 0.6970 data_time: 0.0216 memory: 15510 grad_norm: 0.1869 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.8141 recall@top3: 0.8654 prec@top3: 0.7692 recall@top5: 0.9872 prec@top5: 0.5154 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 19:11:05 - mmengine - INFO - Epoch(train) [6][2020/2881] lr: 5.5861e-02 eta: 2:29:43 time: 0.7269 data_time: 0.0247 memory: 15433 grad_norm: 0.1951 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.8472 recall@top3: 0.7986 prec@top3: 0.6944 recall@top5: 0.9375 prec@top5: 0.5000 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 19:11:19 - mmengine - INFO - Epoch(train) [6][2040/2881] lr: 5.5726e-02 eta: 2:29:29 time: 0.7305 data_time: 0.0311 memory: 15663 grad_norm: 0.1950 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8508 recall@top3: 0.8902 prec@top3: 0.7424 recall@top5: 0.9773 prec@top5: 0.4909 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 19:11:33 - mmengine - INFO - Epoch(train) [6][2060/2881] lr: 5.5590e-02 eta: 2:29:13 time: 0.6839 data_time: 0.0265 memory: 15338 grad_norm: 0.1943 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7807 recall@top3: 0.8070 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0339 loss: 0.0339 2022/08/10 19:11:47 - mmengine - INFO - Epoch(train) [6][2080/2881] lr: 5.5455e-02 eta: 2:28:58 time: 0.6860 data_time: 0.0226 memory: 15376 grad_norm: 0.1865 recall@thr=0.5: 0.8530 prec@thr=0.5: 0.9470 recall@top3: 0.8909 prec@top3: 0.8182 recall@top5: 0.9568 prec@top5: 0.5455 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 19:12:01 - mmengine - INFO - Epoch(train) [6][2100/2881] lr: 5.5319e-02 eta: 2:28:43 time: 0.6990 data_time: 0.0263 memory: 15510 grad_norm: 0.1842 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7982 recall@top3: 0.8158 prec@top3: 0.6842 recall@top5: 0.9298 prec@top5: 0.4737 loss_action_cls: 0.0390 loss: 0.0390 2022/08/10 19:12:15 - mmengine - INFO - Epoch(train) [6][2120/2881] lr: 5.5184e-02 eta: 2:28:29 time: 0.7237 data_time: 0.0232 memory: 15357 grad_norm: 0.1844 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8772 recall@top3: 0.9211 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0336 loss: 0.0336 2022/08/10 19:12:29 - mmengine - INFO - Epoch(train) [6][2140/2881] lr: 5.5048e-02 eta: 2:28:14 time: 0.6966 data_time: 0.0232 memory: 15357 grad_norm: 0.1886 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7760 recall@top3: 0.7500 prec@top3: 0.7200 recall@top5: 0.9267 prec@top5: 0.5440 loss_action_cls: 0.0346 loss: 0.0346 2022/08/10 19:12:43 - mmengine - INFO - Epoch(train) [6][2160/2881] lr: 5.4913e-02 eta: 2:27:59 time: 0.6802 data_time: 0.0228 memory: 15414 grad_norm: 0.2043 recall@thr=0.5: 0.9275 prec@thr=0.5: 0.8514 recall@top3: 0.9130 prec@top3: 0.8261 recall@top5: 0.9855 prec@top5: 0.5391 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 19:12:56 - mmengine - INFO - Epoch(train) [6][2180/2881] lr: 5.4777e-02 eta: 2:27:44 time: 0.6899 data_time: 0.0227 memory: 15567 grad_norm: 0.1876 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8083 recall@top3: 0.9500 prec@top3: 0.6667 recall@top5: 0.9750 prec@top5: 0.4100 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 19:13:10 - mmengine - INFO - Epoch(train) [6][2200/2881] lr: 5.4641e-02 eta: 2:27:29 time: 0.7000 data_time: 0.0225 memory: 15300 grad_norm: 0.1905 recall@thr=0.5: 0.8067 prec@thr=0.5: 0.9033 recall@top3: 0.8333 prec@top3: 0.8400 recall@top5: 0.9867 prec@top5: 0.6080 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 19:13:25 - mmengine - INFO - Epoch(train) [6][2220/2881] lr: 5.4506e-02 eta: 2:27:14 time: 0.7106 data_time: 0.0214 memory: 15395 grad_norm: 0.1820 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.7302 recall@top3: 0.8929 prec@top3: 0.6825 recall@top5: 0.9683 prec@top5: 0.4476 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 19:13:39 - mmengine - INFO - Epoch(train) [6][2240/2881] lr: 5.4370e-02 eta: 2:27:00 time: 0.7276 data_time: 0.0244 memory: 15261 grad_norm: 0.1915 recall@thr=0.5: 0.6840 prec@thr=0.5: 0.9133 recall@top3: 0.7440 prec@top3: 0.7333 recall@top5: 0.9100 prec@top5: 0.5600 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:13:53 - mmengine - INFO - Epoch(train) [6][2260/2881] lr: 5.4234e-02 eta: 2:26:45 time: 0.6889 data_time: 0.0228 memory: 15300 grad_norm: 0.1958 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8810 recall@top3: 0.7921 prec@top3: 0.7937 recall@top5: 0.9532 prec@top5: 0.6000 loss_action_cls: 0.0365 loss: 0.0365 2022/08/10 19:14:07 - mmengine - INFO - Epoch(train) [6][2280/2881] lr: 5.4098e-02 eta: 2:26:30 time: 0.7157 data_time: 0.0304 memory: 15300 grad_norm: 0.1873 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.7368 recall@top3: 0.8596 prec@top3: 0.5439 recall@top5: 0.9211 prec@top5: 0.3579 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 19:14:21 - mmengine - INFO - Epoch(train) [6][2300/2881] lr: 5.3962e-02 eta: 2:26:15 time: 0.6870 data_time: 0.0228 memory: 15280 grad_norm: 0.1877 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7333 recall@top3: 0.8083 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4500 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 19:14:35 - mmengine - INFO - Epoch(train) [6][2320/2881] lr: 5.3826e-02 eta: 2:26:00 time: 0.6873 data_time: 0.0237 memory: 15376 grad_norm: 0.1949 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.6703 recall@top3: 0.6920 prec@top3: 0.5362 recall@top5: 0.8551 prec@top5: 0.4261 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 19:14:49 - mmengine - INFO - Epoch(train) [6][2340/2881] lr: 5.3691e-02 eta: 2:25:45 time: 0.6934 data_time: 0.0228 memory: 15300 grad_norm: 0.1912 recall@thr=0.5: 0.6982 prec@thr=0.5: 0.8158 recall@top3: 0.8035 prec@top3: 0.7193 recall@top5: 0.9193 prec@top5: 0.5158 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 19:15:03 - mmengine - INFO - Epoch(train) [6][2360/2881] lr: 5.3555e-02 eta: 2:25:31 time: 0.7246 data_time: 0.0263 memory: 15395 grad_norm: 0.1960 recall@thr=0.5: 0.7428 prec@thr=0.5: 0.8659 recall@top3: 0.7935 prec@top3: 0.7536 recall@top5: 0.9493 prec@top5: 0.5565 loss_action_cls: 0.0391 loss: 0.0391 2022/08/10 19:15:17 - mmengine - INFO - Epoch(train) [6][2380/2881] lr: 5.3419e-02 eta: 2:25:16 time: 0.6966 data_time: 0.0246 memory: 15338 grad_norm: 0.1917 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.9306 recall@top3: 0.7926 prec@top3: 0.7963 recall@top5: 0.9611 prec@top5: 0.6000 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 19:15:30 - mmengine - INFO - Epoch(train) [6][2400/2881] lr: 5.3283e-02 eta: 2:25:00 time: 0.6722 data_time: 0.0234 memory: 15242 grad_norm: 0.1914 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.6708 recall@top3: 0.8458 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0371 loss: 0.0371 2022/08/10 19:15:45 - mmengine - INFO - Epoch(train) [6][2420/2881] lr: 5.3147e-02 eta: 2:24:46 time: 0.7177 data_time: 0.0247 memory: 15280 grad_norm: 0.1898 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7460 recall@top3: 0.7937 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0357 loss: 0.0357 2022/08/10 19:16:00 - mmengine - INFO - Epoch(train) [6][2440/2881] lr: 5.3011e-02 eta: 2:24:32 time: 0.7413 data_time: 0.0263 memory: 15414 grad_norm: 0.1904 recall@thr=0.5: 0.6762 prec@thr=0.5: 0.8968 recall@top3: 0.8905 prec@top3: 0.8254 recall@top5: 0.9333 prec@top5: 0.5333 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 19:16:13 - mmengine - INFO - Epoch(train) [6][2460/2881] lr: 5.2874e-02 eta: 2:24:17 time: 0.6891 data_time: 0.0242 memory: 15261 grad_norm: 0.1926 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7803 recall@top3: 0.8826 prec@top3: 0.7879 recall@top5: 0.9773 prec@top5: 0.5364 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 19:16:27 - mmengine - INFO - Epoch(train) [6][2480/2881] lr: 5.2738e-02 eta: 2:24:02 time: 0.6926 data_time: 0.0230 memory: 15280 grad_norm: 0.1831 recall@thr=0.5: 0.9012 prec@thr=0.5: 0.8395 recall@top3: 0.9444 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4519 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 19:16:41 - mmengine - INFO - Epoch(train) [6][2500/2881] lr: 5.2602e-02 eta: 2:23:47 time: 0.7058 data_time: 0.0223 memory: 15414 grad_norm: 0.2110 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6491 recall@top3: 0.8158 prec@top3: 0.6842 recall@top5: 0.8947 prec@top5: 0.4526 loss_action_cls: 0.0376 loss: 0.0376 2022/08/10 19:16:56 - mmengine - INFO - Epoch(train) [6][2520/2881] lr: 5.2466e-02 eta: 2:23:32 time: 0.7149 data_time: 0.0227 memory: 15376 grad_norm: 0.1995 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7562 recall@top3: 0.8025 prec@top3: 0.6049 recall@top5: 0.9630 prec@top5: 0.4667 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 19:17:09 - mmengine - INFO - Epoch(train) [6][2540/2881] lr: 5.2330e-02 eta: 2:23:17 time: 0.6659 data_time: 0.0247 memory: 15376 grad_norm: 0.1852 recall@thr=0.5: 0.6549 prec@thr=0.5: 0.7843 recall@top3: 0.7863 prec@top3: 0.6275 recall@top5: 0.9569 prec@top5: 0.4941 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 19:17:22 - mmengine - INFO - Epoch(train) [6][2560/2881] lr: 5.2194e-02 eta: 2:23:02 time: 0.6701 data_time: 0.0214 memory: 15433 grad_norm: 0.1965 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.7645 recall@top3: 0.9275 prec@top3: 0.5797 recall@top5: 0.9710 prec@top5: 0.3739 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 19:17:36 - mmengine - INFO - Epoch(train) [6][2580/2881] lr: 5.2058e-02 eta: 2:22:47 time: 0.6917 data_time: 0.0241 memory: 15261 grad_norm: 0.1911 recall@thr=0.5: 0.7883 prec@thr=0.5: 0.7483 recall@top3: 0.7775 prec@top3: 0.7333 recall@top5: 0.9367 prec@top5: 0.5700 loss_action_cls: 0.0317 loss: 0.0317 2022/08/10 19:17:47 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 19:17:51 - mmengine - INFO - Epoch(train) [6][2600/2881] lr: 5.1921e-02 eta: 2:22:32 time: 0.7133 data_time: 0.0234 memory: 15472 grad_norm: 0.1877 recall@thr=0.5: 0.8447 prec@thr=0.5: 0.8220 recall@top3: 0.8258 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 19:18:04 - mmengine - INFO - Epoch(train) [6][2620/2881] lr: 5.1785e-02 eta: 2:22:17 time: 0.6864 data_time: 0.0224 memory: 15395 grad_norm: 0.1950 recall@thr=0.5: 0.8879 prec@thr=0.5: 0.8678 recall@top3: 0.8661 prec@top3: 0.8161 recall@top5: 1.0000 prec@top5: 0.5862 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 19:18:18 - mmengine - INFO - Epoch(train) [6][2640/2881] lr: 5.1649e-02 eta: 2:22:02 time: 0.6861 data_time: 0.0225 memory: 15395 grad_norm: 0.1938 recall@thr=0.5: 0.8844 prec@thr=0.5: 0.8269 recall@top3: 0.8898 prec@top3: 0.7419 recall@top5: 1.0000 prec@top5: 0.5161 loss_action_cls: 0.0307 loss: 0.0307 2022/08/10 19:18:32 - mmengine - INFO - Epoch(train) [6][2660/2881] lr: 5.1513e-02 eta: 2:21:47 time: 0.6849 data_time: 0.0209 memory: 15606 grad_norm: 0.1919 recall@thr=0.5: 0.7804 prec@thr=0.5: 0.7123 recall@top3: 0.8196 prec@top3: 0.7451 recall@top5: 0.9882 prec@top5: 0.5588 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 19:18:46 - mmengine - INFO - Epoch(train) [6][2680/2881] lr: 5.1377e-02 eta: 2:21:32 time: 0.7196 data_time: 0.0229 memory: 15338 grad_norm: 0.1906 recall@thr=0.5: 0.7717 prec@thr=0.5: 0.9022 recall@top3: 0.8877 prec@top3: 0.8261 recall@top5: 0.9493 prec@top5: 0.5391 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 19:19:00 - mmengine - INFO - Epoch(train) [6][2700/2881] lr: 5.1240e-02 eta: 2:21:17 time: 0.6761 data_time: 0.0248 memory: 15414 grad_norm: 0.1908 recall@thr=0.5: 0.7516 prec@thr=0.5: 0.7903 recall@top3: 0.7194 prec@top3: 0.6882 recall@top5: 0.9441 prec@top5: 0.5677 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 19:19:14 - mmengine - INFO - Epoch(train) [6][2720/2881] lr: 5.1104e-02 eta: 2:21:02 time: 0.6979 data_time: 0.0209 memory: 15510 grad_norm: 0.1852 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.9216 recall@top3: 0.8039 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.5294 loss_action_cls: 0.0307 loss: 0.0307 2022/08/10 19:19:29 - mmengine - INFO - Epoch(train) [6][2740/2881] lr: 5.0968e-02 eta: 2:20:48 time: 0.7598 data_time: 0.0246 memory: 15376 grad_norm: 0.1887 recall@thr=0.5: 0.8702 prec@thr=0.5: 0.9167 recall@top3: 0.8762 prec@top3: 0.7262 recall@top5: 0.9881 prec@top5: 0.5071 loss_action_cls: 0.0374 loss: 0.0374 2022/08/10 19:19:43 - mmengine - INFO - Epoch(train) [6][2760/2881] lr: 5.0831e-02 eta: 2:20:34 time: 0.7204 data_time: 0.0232 memory: 15357 grad_norm: 0.1823 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8095 recall@top3: 0.8968 prec@top3: 0.7778 recall@top5: 0.9603 prec@top5: 0.4952 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 19:19:57 - mmengine - INFO - Epoch(train) [6][2780/2881] lr: 5.0695e-02 eta: 2:20:19 time: 0.6975 data_time: 0.0210 memory: 15376 grad_norm: 0.2074 recall@thr=0.5: 0.8155 prec@thr=0.5: 0.8393 recall@top3: 0.9226 prec@top3: 0.7619 recall@top5: 0.9762 prec@top5: 0.4929 loss_action_cls: 0.0306 loss: 0.0306 2022/08/10 19:20:11 - mmengine - INFO - Epoch(train) [6][2800/2881] lr: 5.0559e-02 eta: 2:20:04 time: 0.6850 data_time: 0.0230 memory: 15491 grad_norm: 0.2086 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7917 recall@top3: 0.7708 prec@top3: 0.5278 recall@top5: 0.8021 prec@top5: 0.3333 loss_action_cls: 0.0351 loss: 0.0351 2022/08/10 19:20:25 - mmengine - INFO - Epoch(train) [6][2820/2881] lr: 5.0423e-02 eta: 2:19:50 time: 0.7216 data_time: 0.0239 memory: 15376 grad_norm: 0.1963 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.7949 recall@top3: 0.8141 prec@top3: 0.7564 recall@top5: 0.9487 prec@top5: 0.5385 loss_action_cls: 0.0362 loss: 0.0362 2022/08/10 19:20:39 - mmengine - INFO - Epoch(train) [6][2840/2881] lr: 5.0286e-02 eta: 2:19:35 time: 0.7029 data_time: 0.0241 memory: 15567 grad_norm: 0.1964 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8095 recall@top3: 0.8810 prec@top3: 0.7302 recall@top5: 0.9087 prec@top5: 0.4571 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 19:20:53 - mmengine - INFO - Epoch(train) [6][2860/2881] lr: 5.0150e-02 eta: 2:19:20 time: 0.6802 data_time: 0.0234 memory: 15357 grad_norm: 0.1955 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8030 recall@top3: 0.8939 prec@top3: 0.5758 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 19:21:06 - mmengine - INFO - Epoch(train) [6][2880/2881] lr: 5.0014e-02 eta: 2:19:05 time: 0.6761 data_time: 0.0227 memory: 15395 grad_norm: 0.2040 recall@thr=0.5: 0.8200 prec@thr=0.5: 0.8467 recall@top3: 0.9600 prec@top3: 0.7733 recall@top5: 1.0000 prec@top5: 0.4880 loss_action_cls: 0.0339 loss: 0.0339 2022/08/10 19:21:07 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 19:21:07 - mmengine - INFO - Epoch(train) [6][2881/2881] lr: 5.0007e-02 eta: 2:19:05 time: 0.6746 data_time: 0.0236 memory: 15012 grad_norm: 0.2038 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.7540 recall@top3: 0.8254 prec@top3: 0.7460 recall@top5: 0.9048 prec@top5: 0.5048 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 19:21:07 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/10 19:21:18 - mmengine - INFO - Epoch(val) [6][20/6282] eta: 0:09:32 time: 0.0915 data_time: 0.0184 memory: 1670 2022/08/10 19:21:19 - mmengine - INFO - Epoch(val) [6][40/6282] eta: 0:05:10 time: 0.0498 data_time: 0.0041 memory: 1670 2022/08/10 19:21:20 - mmengine - INFO - Epoch(val) [6][60/6282] eta: 0:05:21 time: 0.0517 data_time: 0.0044 memory: 1670 2022/08/10 19:21:21 - mmengine - INFO - Epoch(val) [6][80/6282] eta: 0:05:42 time: 0.0552 data_time: 0.0050 memory: 1670 2022/08/10 19:21:22 - mmengine - INFO - Epoch(val) [6][100/6282] eta: 0:05:21 time: 0.0520 data_time: 0.0045 memory: 1670 2022/08/10 19:21:23 - mmengine - INFO - Epoch(val) [6][120/6282] eta: 0:06:48 time: 0.0663 data_time: 0.0047 memory: 1704 2022/08/10 19:21:25 - mmengine - INFO - Epoch(val) [6][140/6282] eta: 0:08:47 time: 0.0860 data_time: 0.0066 memory: 1704 2022/08/10 19:21:27 - mmengine - INFO - Epoch(val) [6][160/6282] eta: 0:07:36 time: 0.0745 data_time: 0.0067 memory: 1704 2022/08/10 19:21:29 - mmengine - INFO - Epoch(val) [6][180/6282] eta: 0:10:20 time: 0.1016 data_time: 0.0077 memory: 1704 2022/08/10 19:21:30 - mmengine - INFO - Epoch(val) [6][200/6282] eta: 0:06:59 time: 0.0690 data_time: 0.0046 memory: 1704 2022/08/10 19:21:31 - mmengine - INFO - Epoch(val) [6][220/6282] eta: 0:06:28 time: 0.0641 data_time: 0.0045 memory: 1677 2022/08/10 19:21:33 - mmengine - INFO - Epoch(val) [6][240/6282] eta: 0:06:33 time: 0.0652 data_time: 0.0058 memory: 1677 2022/08/10 19:21:34 - mmengine - INFO - Epoch(val) [6][260/6282] eta: 0:05:55 time: 0.0590 data_time: 0.0037 memory: 1677 2022/08/10 19:21:35 - mmengine - INFO - Epoch(val) [6][280/6282] eta: 0:06:01 time: 0.0603 data_time: 0.0048 memory: 1677 2022/08/10 19:21:37 - mmengine - INFO - Epoch(val) [6][300/6282] eta: 0:07:04 time: 0.0710 data_time: 0.0048 memory: 1704 2022/08/10 19:21:38 - mmengine - INFO - Epoch(val) [6][320/6282] eta: 0:07:44 time: 0.0779 data_time: 0.0048 memory: 1906 2022/08/10 19:21:40 - mmengine - INFO - Epoch(val) [6][340/6282] eta: 0:08:14 time: 0.0832 data_time: 0.0119 memory: 1774 2022/08/10 19:21:42 - mmengine - INFO - Epoch(val) [6][360/6282] eta: 0:09:02 time: 0.0916 data_time: 0.0047 memory: 1840 2022/08/10 19:21:43 - mmengine - INFO - Epoch(val) [6][380/6282] eta: 0:07:16 time: 0.0740 data_time: 0.0046 memory: 1840 2022/08/10 19:21:44 - mmengine - INFO - Epoch(val) [6][400/6282] eta: 0:06:11 time: 0.0631 data_time: 0.0041 memory: 1704 2022/08/10 19:21:46 - mmengine - INFO - Epoch(val) [6][420/6282] eta: 0:06:14 time: 0.0639 data_time: 0.0042 memory: 1677 2022/08/10 19:21:47 - mmengine - INFO - Epoch(val) [6][440/6282] eta: 0:05:31 time: 0.0567 data_time: 0.0051 memory: 1677 2022/08/10 19:21:48 - mmengine - INFO - Epoch(val) [6][460/6282] eta: 0:05:09 time: 0.0532 data_time: 0.0041 memory: 1677 2022/08/10 19:21:49 - mmengine - INFO - Epoch(val) [6][480/6282] eta: 0:05:16 time: 0.0545 data_time: 0.0040 memory: 1677 2022/08/10 19:21:50 - mmengine - INFO - Epoch(val) [6][500/6282] eta: 0:05:13 time: 0.0543 data_time: 0.0034 memory: 1677 2022/08/10 19:21:51 - mmengine - INFO - Epoch(val) [6][520/6282] eta: 0:05:23 time: 0.0562 data_time: 0.0030 memory: 1677 2022/08/10 19:21:52 - mmengine - INFO - Epoch(val) [6][540/6282] eta: 0:06:08 time: 0.0642 data_time: 0.0041 memory: 1677 2022/08/10 19:21:54 - mmengine - INFO - Epoch(val) [6][560/6282] eta: 0:05:36 time: 0.0589 data_time: 0.0045 memory: 1677 2022/08/10 19:21:55 - mmengine - INFO - Epoch(val) [6][580/6282] eta: 0:05:36 time: 0.0591 data_time: 0.0049 memory: 1677 2022/08/10 19:21:56 - mmengine - INFO - Epoch(val) [6][600/6282] eta: 0:05:29 time: 0.0579 data_time: 0.0040 memory: 1677 2022/08/10 19:21:57 - mmengine - INFO - Epoch(val) [6][620/6282] eta: 0:04:53 time: 0.0519 data_time: 0.0034 memory: 1677 2022/08/10 19:21:58 - mmengine - INFO - Epoch(val) [6][640/6282] eta: 0:05:25 time: 0.0578 data_time: 0.0046 memory: 1675 2022/08/10 19:21:59 - mmengine - INFO - Epoch(val) [6][660/6282] eta: 0:05:10 time: 0.0553 data_time: 0.0043 memory: 1675 2022/08/10 19:22:00 - mmengine - INFO - Epoch(val) [6][680/6282] eta: 0:05:13 time: 0.0560 data_time: 0.0046 memory: 1675 2022/08/10 19:22:02 - mmengine - INFO - Epoch(val) [6][700/6282] eta: 0:05:15 time: 0.0565 data_time: 0.0037 memory: 1675 2022/08/10 19:22:04 - mmengine - INFO - Epoch(val) [6][720/6282] eta: 0:12:43 time: 0.1373 data_time: 0.0554 memory: 1939 2022/08/10 19:22:08 - mmengine - INFO - Epoch(val) [6][740/6282] eta: 0:17:15 time: 0.1869 data_time: 0.1132 memory: 1807 2022/08/10 19:22:11 - mmengine - INFO - Epoch(val) [6][760/6282] eta: 0:13:14 time: 0.1439 data_time: 0.0728 memory: 1774 2022/08/10 19:22:14 - mmengine - INFO - Epoch(val) [6][780/6282] eta: 0:13:04 time: 0.1427 data_time: 0.0556 memory: 1704 2022/08/10 19:22:16 - mmengine - INFO - Epoch(val) [6][800/6282] eta: 0:10:25 time: 0.1142 data_time: 0.0511 memory: 1704 2022/08/10 19:22:18 - mmengine - INFO - Epoch(val) [6][820/6282] eta: 0:07:25 time: 0.0816 data_time: 0.0278 memory: 1704 2022/08/10 19:22:19 - mmengine - INFO - Epoch(val) [6][840/6282] eta: 0:05:26 time: 0.0600 data_time: 0.0037 memory: 1722 2022/08/10 19:22:20 - mmengine - INFO - Epoch(val) [6][860/6282] eta: 0:05:30 time: 0.0610 data_time: 0.0041 memory: 1677 2022/08/10 19:22:21 - mmengine - INFO - Epoch(val) [6][880/6282] eta: 0:05:44 time: 0.0638 data_time: 0.0046 memory: 1677 2022/08/10 19:22:23 - mmengine - INFO - Epoch(val) [6][900/6282] eta: 0:05:18 time: 0.0591 data_time: 0.0049 memory: 1677 2022/08/10 19:22:24 - mmengine - INFO - Epoch(val) [6][920/6282] eta: 0:05:13 time: 0.0585 data_time: 0.0035 memory: 1697 2022/08/10 19:22:25 - mmengine - INFO - Epoch(val) [6][940/6282] eta: 0:05:02 time: 0.0567 data_time: 0.0049 memory: 1670 2022/08/10 19:22:26 - mmengine - INFO - Epoch(val) [6][960/6282] eta: 0:04:49 time: 0.0544 data_time: 0.0046 memory: 1670 2022/08/10 19:22:27 - mmengine - INFO - Epoch(val) [6][980/6282] eta: 0:04:39 time: 0.0527 data_time: 0.0038 memory: 1670 2022/08/10 19:22:28 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:04:51 time: 0.0553 data_time: 0.0037 memory: 1670 2022/08/10 19:22:29 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:04:42 time: 0.0536 data_time: 0.0050 memory: 1670 2022/08/10 19:22:30 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:04:55 time: 0.0563 data_time: 0.0048 memory: 1677 2022/08/10 19:22:32 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:05:11 time: 0.0597 data_time: 0.0046 memory: 1677 2022/08/10 19:22:33 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:05:05 time: 0.0587 data_time: 0.0046 memory: 1677 2022/08/10 19:22:34 - mmengine - INFO - Epoch(val) [6][1100/6282] eta: 0:05:00 time: 0.0580 data_time: 0.0040 memory: 1677 2022/08/10 19:22:36 - mmengine - INFO - Epoch(val) [6][1120/6282] eta: 0:07:14 time: 0.0841 data_time: 0.0054 memory: 1677 2022/08/10 19:22:37 - mmengine - INFO - Epoch(val) [6][1140/6282] eta: 0:05:04 time: 0.0593 data_time: 0.0048 memory: 1677 2022/08/10 19:22:38 - mmengine - INFO - Epoch(val) [6][1160/6282] eta: 0:04:50 time: 0.0567 data_time: 0.0037 memory: 1677 2022/08/10 19:22:39 - mmengine - INFO - Epoch(val) [6][1180/6282] eta: 0:04:53 time: 0.0575 data_time: 0.0036 memory: 1677 2022/08/10 19:22:40 - mmengine - INFO - Epoch(val) [6][1200/6282] eta: 0:05:08 time: 0.0606 data_time: 0.0047 memory: 1747 2022/08/10 19:22:41 - mmengine - INFO - Epoch(val) [6][1220/6282] eta: 0:04:54 time: 0.0581 data_time: 0.0038 memory: 1677 2022/08/10 19:22:45 - mmengine - INFO - Epoch(val) [6][1240/6282] eta: 0:15:12 time: 0.1811 data_time: 0.1039 memory: 1704 2022/08/10 19:22:48 - mmengine - INFO - Epoch(val) [6][1260/6282] eta: 0:10:50 time: 0.1296 data_time: 0.0616 memory: 1704 2022/08/10 19:22:51 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:15:21 time: 0.1843 data_time: 0.1228 memory: 1704 2022/08/10 19:22:54 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:12:14 time: 0.1475 data_time: 0.0830 memory: 1704 2022/08/10 19:22:58 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:15:31 time: 0.1878 data_time: 0.1196 memory: 1704 2022/08/10 19:23:01 - mmengine - INFO - Epoch(val) [6][1340/6282] eta: 0:12:11 time: 0.1480 data_time: 0.0849 memory: 1704 2022/08/10 19:23:05 - mmengine - INFO - Epoch(val) [6][1360/6282] eta: 0:16:03 time: 0.1957 data_time: 0.1302 memory: 1704 2022/08/10 19:23:08 - mmengine - INFO - Epoch(val) [6][1380/6282] eta: 0:11:06 time: 0.1360 data_time: 0.0709 memory: 1704 2022/08/10 19:23:11 - mmengine - INFO - Epoch(val) [6][1400/6282] eta: 0:11:36 time: 0.1427 data_time: 0.0786 memory: 1704 2022/08/10 19:23:13 - mmengine - INFO - Epoch(val) [6][1420/6282] eta: 0:09:38 time: 0.1190 data_time: 0.0573 memory: 1704 2022/08/10 19:23:14 - mmengine - INFO - Epoch(val) [6][1440/6282] eta: 0:05:48 time: 0.0720 data_time: 0.0044 memory: 1715 2022/08/10 19:23:16 - mmengine - INFO - Epoch(val) [6][1460/6282] eta: 0:05:59 time: 0.0746 data_time: 0.0045 memory: 1873 2022/08/10 19:23:17 - mmengine - INFO - Epoch(val) [6][1480/6282] eta: 0:05:33 time: 0.0694 data_time: 0.0045 memory: 1807 2022/08/10 19:23:19 - mmengine - INFO - Epoch(val) [6][1500/6282] eta: 0:07:44 time: 0.0972 data_time: 0.0043 memory: 1807 2022/08/10 19:23:21 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:05:46 time: 0.0728 data_time: 0.0045 memory: 1798 2022/08/10 19:23:22 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:07:14 time: 0.0915 data_time: 0.0075 memory: 1798 2022/08/10 19:23:24 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:06:31 time: 0.0830 data_time: 0.0049 memory: 1798 2022/08/10 19:23:26 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:06:42 time: 0.0856 data_time: 0.0077 memory: 1798 2022/08/10 19:23:28 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:06:28 time: 0.0829 data_time: 0.0048 memory: 1798 2022/08/10 19:23:29 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:06:40 time: 0.0860 data_time: 0.0047 memory: 1798 2022/08/10 19:23:31 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:05:45 time: 0.0744 data_time: 0.0041 memory: 1840 2022/08/10 19:23:32 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:05:16 time: 0.0686 data_time: 0.0034 memory: 1704 2022/08/10 19:23:33 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:04:57 time: 0.0645 data_time: 0.0039 memory: 1704 2022/08/10 19:23:35 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:05:35 time: 0.0733 data_time: 0.0036 memory: 1939 2022/08/10 19:23:36 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:05:48 time: 0.0764 data_time: 0.0046 memory: 1973 2022/08/10 19:23:38 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:04:54 time: 0.0649 data_time: 0.0037 memory: 1704 2022/08/10 19:23:39 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:05:17 time: 0.0703 data_time: 0.0048 memory: 1704 2022/08/10 19:23:41 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:07:20 time: 0.0978 data_time: 0.0054 memory: 1704 2022/08/10 19:23:43 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:05:29 time: 0.0735 data_time: 0.0046 memory: 1807 2022/08/10 19:23:44 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:05:31 time: 0.0743 data_time: 0.0046 memory: 1774 2022/08/10 19:23:46 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:06:14 time: 0.0843 data_time: 0.0089 memory: 1704 2022/08/10 19:23:49 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:12:50 time: 0.1743 data_time: 0.1124 memory: 1704 2022/08/10 19:23:52 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:10:59 time: 0.1499 data_time: 0.0872 memory: 1704 2022/08/10 19:23:56 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:12:15 time: 0.1677 data_time: 0.1052 memory: 1704 2022/08/10 19:23:58 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:08:21 time: 0.1149 data_time: 0.0465 memory: 1704 2022/08/10 19:24:00 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:08:27 time: 0.1168 data_time: 0.0537 memory: 1704 2022/08/10 19:24:01 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:04:05 time: 0.0568 data_time: 0.0036 memory: 1677 2022/08/10 19:24:03 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:05:19 time: 0.0742 data_time: 0.0053 memory: 1677 2022/08/10 19:24:04 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:04:04 time: 0.0570 data_time: 0.0053 memory: 1677 2022/08/10 19:24:06 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:05:14 time: 0.0737 data_time: 0.0055 memory: 1677 2022/08/10 19:24:07 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:04:03 time: 0.0574 data_time: 0.0055 memory: 1677 2022/08/10 19:24:08 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:04:01 time: 0.0571 data_time: 0.0036 memory: 1677 2022/08/10 19:24:09 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:03:56 time: 0.0563 data_time: 0.0046 memory: 1677 2022/08/10 19:24:10 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:03:53 time: 0.0558 data_time: 0.0047 memory: 1677 2022/08/10 19:24:11 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:04:18 time: 0.0621 data_time: 0.0109 memory: 1677 2022/08/10 19:24:13 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:04:02 time: 0.0585 data_time: 0.0034 memory: 1697 2022/08/10 19:24:14 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:03:58 time: 0.0578 data_time: 0.0039 memory: 1677 2022/08/10 19:24:15 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:04:08 time: 0.0605 data_time: 0.0040 memory: 1677 2022/08/10 19:24:16 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:03:57 time: 0.0583 data_time: 0.0044 memory: 1677 2022/08/10 19:24:17 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:03:50 time: 0.0568 data_time: 0.0045 memory: 1677 2022/08/10 19:24:18 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:03:56 time: 0.0586 data_time: 0.0049 memory: 1677 2022/08/10 19:24:20 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:04:02 time: 0.0604 data_time: 0.0046 memory: 1677 2022/08/10 19:24:21 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:03:57 time: 0.0593 data_time: 0.0047 memory: 1698 2022/08/10 19:24:22 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:03:49 time: 0.0577 data_time: 0.0043 memory: 1677 2022/08/10 19:24:23 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:03:54 time: 0.0593 data_time: 0.0038 memory: 1677 2022/08/10 19:24:25 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:05:00 time: 0.0763 data_time: 0.0047 memory: 1677 2022/08/10 19:24:26 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:04:02 time: 0.0618 data_time: 0.0063 memory: 1677 2022/08/10 19:24:27 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:04:08 time: 0.0637 data_time: 0.0054 memory: 1677 2022/08/10 19:24:29 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:04:17 time: 0.0664 data_time: 0.0071 memory: 1677 2022/08/10 19:24:30 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:03:51 time: 0.0600 data_time: 0.0056 memory: 1677 2022/08/10 19:24:31 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:03:56 time: 0.0615 data_time: 0.0057 memory: 1677 2022/08/10 19:24:33 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:04:58 time: 0.0780 data_time: 0.0113 memory: 1704 2022/08/10 19:24:35 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:08:47 time: 0.1387 data_time: 0.0522 memory: 1704 2022/08/10 19:24:37 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:05:27 time: 0.0866 data_time: 0.0222 memory: 1704 2022/08/10 19:24:39 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:05:46 time: 0.0921 data_time: 0.0225 memory: 1774 2022/08/10 19:24:41 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:05:22 time: 0.0862 data_time: 0.0170 memory: 1939 2022/08/10 19:24:44 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:11:03 time: 0.1784 data_time: 0.1159 memory: 1704 2022/08/10 19:24:47 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:09:12 time: 0.1492 data_time: 0.0743 memory: 1704 2022/08/10 19:24:51 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:10:40 time: 0.1741 data_time: 0.1074 memory: 1715 2022/08/10 19:24:53 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:08:26 time: 0.1383 data_time: 0.0726 memory: 1704 2022/08/10 19:24:56 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:08:58 time: 0.1479 data_time: 0.0589 memory: 1704 2022/08/10 19:24:58 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:04:53 time: 0.0812 data_time: 0.0062 memory: 1788 2022/08/10 19:25:00 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:05:01 time: 0.0838 data_time: 0.0052 memory: 1788 2022/08/10 19:25:01 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:05:02 time: 0.0845 data_time: 0.0062 memory: 1788 2022/08/10 19:25:03 - mmengine - INFO - Epoch(val) [6][2720/6282] eta: 0:05:17 time: 0.0891 data_time: 0.0061 memory: 1788 2022/08/10 19:25:05 - mmengine - INFO - Epoch(val) [6][2740/6282] eta: 0:05:32 time: 0.0940 data_time: 0.0052 memory: 1797 2022/08/10 19:25:07 - mmengine - INFO - Epoch(val) [6][2760/6282] eta: 0:05:29 time: 0.0936 data_time: 0.0123 memory: 1677 2022/08/10 19:25:08 - mmengine - INFO - Epoch(val) [6][2780/6282] eta: 0:03:51 time: 0.0660 data_time: 0.0058 memory: 1677 2022/08/10 19:25:10 - mmengine - INFO - Epoch(val) [6][2800/6282] eta: 0:03:50 time: 0.0661 data_time: 0.0052 memory: 1631 2022/08/10 19:25:11 - mmengine - INFO - Epoch(val) [6][2820/6282] eta: 0:03:47 time: 0.0658 data_time: 0.0059 memory: 1677 2022/08/10 19:25:12 - mmengine - INFO - Epoch(val) [6][2840/6282] eta: 0:03:35 time: 0.0627 data_time: 0.0064 memory: 1631 2022/08/10 19:25:14 - mmengine - INFO - Epoch(val) [6][2860/6282] eta: 0:03:56 time: 0.0690 data_time: 0.0052 memory: 1704 2022/08/10 19:25:15 - mmengine - INFO - Epoch(val) [6][2880/6282] eta: 0:04:02 time: 0.0712 data_time: 0.0047 memory: 1704 2022/08/10 19:25:17 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:04:13 time: 0.0751 data_time: 0.0062 memory: 1704 2022/08/10 19:25:18 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:04:49 time: 0.0861 data_time: 0.0042 memory: 1704 2022/08/10 19:25:19 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:03:14 time: 0.0583 data_time: 0.0037 memory: 1688 2022/08/10 19:25:21 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:03:20 time: 0.0602 data_time: 0.0037 memory: 1688 2022/08/10 19:25:22 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:03:17 time: 0.0599 data_time: 0.0041 memory: 1688 2022/08/10 19:25:23 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:03:11 time: 0.0583 data_time: 0.0034 memory: 1688 2022/08/10 19:25:24 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:03:22 time: 0.0620 data_time: 0.0040 memory: 1704 2022/08/10 19:25:26 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:04:08 time: 0.0768 data_time: 0.0058 memory: 1715 2022/08/10 19:25:27 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:03:47 time: 0.0706 data_time: 0.0041 memory: 1774 2022/08/10 19:25:29 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:03:43 time: 0.0699 data_time: 0.0053 memory: 1704 2022/08/10 19:25:31 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:05:17 time: 0.0996 data_time: 0.0046 memory: 1704 2022/08/10 19:25:32 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:03:07 time: 0.0592 data_time: 0.0050 memory: 1677 2022/08/10 19:25:33 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:03:21 time: 0.0642 data_time: 0.0062 memory: 1677 2022/08/10 19:25:34 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:03:20 time: 0.0643 data_time: 0.0063 memory: 1677 2022/08/10 19:25:36 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:03:25 time: 0.0663 data_time: 0.0042 memory: 1677 2022/08/10 19:25:37 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:03:38 time: 0.0708 data_time: 0.0056 memory: 1704 2022/08/10 19:25:39 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:03:52 time: 0.0758 data_time: 0.0087 memory: 1704 2022/08/10 19:25:40 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:03:29 time: 0.0688 data_time: 0.0042 memory: 1704 2022/08/10 19:25:42 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:04:39 time: 0.0925 data_time: 0.0055 memory: 1704 2022/08/10 19:25:43 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:03:23 time: 0.0679 data_time: 0.0035 memory: 1704 2022/08/10 19:25:45 - mmengine - INFO - Epoch(val) [6][3300/6282] eta: 0:03:46 time: 0.0760 data_time: 0.0039 memory: 1695 2022/08/10 19:25:46 - mmengine - INFO - Epoch(val) [6][3320/6282] eta: 0:03:35 time: 0.0729 data_time: 0.0061 memory: 1704 2022/08/10 19:25:48 - mmengine - INFO - Epoch(val) [6][3340/6282] eta: 0:03:36 time: 0.0735 data_time: 0.0054 memory: 1715 2022/08/10 19:25:49 - mmengine - INFO - Epoch(val) [6][3360/6282] eta: 0:03:39 time: 0.0752 data_time: 0.0055 memory: 1704 2022/08/10 19:25:50 - mmengine - INFO - Epoch(val) [6][3380/6282] eta: 0:03:06 time: 0.0642 data_time: 0.0035 memory: 1704 2022/08/10 19:25:52 - mmengine - INFO - Epoch(val) [6][3400/6282] eta: 0:02:53 time: 0.0601 data_time: 0.0039 memory: 1722 2022/08/10 19:25:54 - mmengine - INFO - Epoch(val) [6][3420/6282] eta: 0:05:05 time: 0.1066 data_time: 0.0041 memory: 1677 2022/08/10 19:25:55 - mmengine - INFO - Epoch(val) [6][3440/6282] eta: 0:02:31 time: 0.0533 data_time: 0.0042 memory: 1677 2022/08/10 19:25:56 - mmengine - INFO - Epoch(val) [6][3460/6282] eta: 0:02:47 time: 0.0595 data_time: 0.0040 memory: 1677 2022/08/10 19:25:57 - mmengine - INFO - Epoch(val) [6][3480/6282] eta: 0:02:51 time: 0.0611 data_time: 0.0038 memory: 1722 2022/08/10 19:25:58 - mmengine - INFO - Epoch(val) [6][3500/6282] eta: 0:02:33 time: 0.0551 data_time: 0.0034 memory: 1677 2022/08/10 19:25:59 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:02:21 time: 0.0513 data_time: 0.0040 memory: 1677 2022/08/10 19:26:00 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:02:18 time: 0.0506 data_time: 0.0035 memory: 1677 2022/08/10 19:26:02 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:02:27 time: 0.0543 data_time: 0.0035 memory: 1677 2022/08/10 19:26:03 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:36 time: 0.0581 data_time: 0.0042 memory: 1696 2022/08/10 19:26:05 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:04:36 time: 0.1030 data_time: 0.0045 memory: 1696 2022/08/10 19:26:06 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:03:28 time: 0.0782 data_time: 0.0075 memory: 1845 2022/08/10 19:26:08 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:03:05 time: 0.0704 data_time: 0.0051 memory: 1696 2022/08/10 19:26:09 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:03:12 time: 0.0732 data_time: 0.0056 memory: 1696 2022/08/10 19:26:11 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:03:09 time: 0.0728 data_time: 0.0060 memory: 1704 2022/08/10 19:26:12 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:03:36 time: 0.0837 data_time: 0.0180 memory: 1704 2022/08/10 19:26:14 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:03:37 time: 0.0849 data_time: 0.0180 memory: 1704 2022/08/10 19:26:16 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:04:47 time: 0.1131 data_time: 0.0063 memory: 1704 2022/08/10 19:26:18 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:02:55 time: 0.0697 data_time: 0.0043 memory: 1704 2022/08/10 19:26:20 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:04:09 time: 0.0996 data_time: 0.0355 memory: 1704 2022/08/10 19:26:22 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:03:34 time: 0.0863 data_time: 0.0169 memory: 1704 2022/08/10 19:26:23 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:03:55 time: 0.0956 data_time: 0.0262 memory: 1704 2022/08/10 19:26:26 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:04:14 time: 0.1044 data_time: 0.0251 memory: 1704 2022/08/10 19:26:28 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:04:11 time: 0.1039 data_time: 0.0051 memory: 1704 2022/08/10 19:26:29 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:02:48 time: 0.0702 data_time: 0.0057 memory: 1704 2022/08/10 19:26:31 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:02:55 time: 0.0739 data_time: 0.0113 memory: 1704 2022/08/10 19:26:32 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:02:56 time: 0.0748 data_time: 0.0126 memory: 1704 2022/08/10 19:26:33 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:02:51 time: 0.0734 data_time: 0.0116 memory: 1704 2022/08/10 19:26:35 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:02:38 time: 0.0684 data_time: 0.0036 memory: 1715 2022/08/10 19:26:36 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:02:46 time: 0.0724 data_time: 0.0040 memory: 1715 2022/08/10 19:26:38 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:02:33 time: 0.0673 data_time: 0.0042 memory: 1715 2022/08/10 19:26:39 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:02:25 time: 0.0642 data_time: 0.0041 memory: 1704 2022/08/10 19:26:40 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:02:29 time: 0.0667 data_time: 0.0037 memory: 1788 2022/08/10 19:26:42 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:02:54 time: 0.0786 data_time: 0.0044 memory: 1788 2022/08/10 19:26:43 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:02:53 time: 0.0790 data_time: 0.0044 memory: 1788 2022/08/10 19:26:45 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:03:08 time: 0.0864 data_time: 0.0052 memory: 1788 2022/08/10 19:26:48 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:04:20 time: 0.1206 data_time: 0.0054 memory: 1788 2022/08/10 19:26:49 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:02:39 time: 0.0742 data_time: 0.0056 memory: 1788 2022/08/10 19:26:50 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:02:04 time: 0.0587 data_time: 0.0048 memory: 1677 2022/08/10 19:26:51 - mmengine - INFO - Epoch(val) [6][4180/6282] eta: 0:01:56 time: 0.0557 data_time: 0.0044 memory: 1677 2022/08/10 19:26:53 - mmengine - INFO - Epoch(val) [6][4200/6282] eta: 0:01:56 time: 0.0559 data_time: 0.0042 memory: 1677 2022/08/10 19:26:54 - mmengine - INFO - Epoch(val) [6][4220/6282] eta: 0:02:02 time: 0.0596 data_time: 0.0072 memory: 1677 2022/08/10 19:26:55 - mmengine - INFO - Epoch(val) [6][4240/6282] eta: 0:01:54 time: 0.0562 data_time: 0.0037 memory: 1677 2022/08/10 19:26:56 - mmengine - INFO - Epoch(val) [6][4260/6282] eta: 0:01:51 time: 0.0552 data_time: 0.0041 memory: 1677 2022/08/10 19:26:57 - mmengine - INFO - Epoch(val) [6][4280/6282] eta: 0:01:52 time: 0.0561 data_time: 0.0034 memory: 1677 2022/08/10 19:26:58 - mmengine - INFO - Epoch(val) [6][4300/6282] eta: 0:01:45 time: 0.0534 data_time: 0.0034 memory: 1677 2022/08/10 19:26:59 - mmengine - INFO - Epoch(val) [6][4320/6282] eta: 0:01:45 time: 0.0540 data_time: 0.0041 memory: 1677 2022/08/10 19:27:00 - mmengine - INFO - Epoch(val) [6][4340/6282] eta: 0:01:44 time: 0.0536 data_time: 0.0033 memory: 1677 2022/08/10 19:27:02 - mmengine - INFO - Epoch(val) [6][4360/6282] eta: 0:02:01 time: 0.0634 data_time: 0.0041 memory: 1704 2022/08/10 19:27:03 - mmengine - INFO - Epoch(val) [6][4380/6282] eta: 0:02:00 time: 0.0632 data_time: 0.0048 memory: 1704 2022/08/10 19:27:04 - mmengine - INFO - Epoch(val) [6][4400/6282] eta: 0:01:56 time: 0.0619 data_time: 0.0046 memory: 1704 2022/08/10 19:27:06 - mmengine - INFO - Epoch(val) [6][4420/6282] eta: 0:02:53 time: 0.0933 data_time: 0.0044 memory: 1704 2022/08/10 19:27:07 - mmengine - INFO - Epoch(val) [6][4440/6282] eta: 0:02:07 time: 0.0692 data_time: 0.0042 memory: 1707 2022/08/10 19:27:09 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:02:04 time: 0.0681 data_time: 0.0040 memory: 1707 2022/08/10 19:27:10 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:02:03 time: 0.0683 data_time: 0.0047 memory: 1707 2022/08/10 19:27:12 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:02:09 time: 0.0726 data_time: 0.0054 memory: 1707 2022/08/10 19:27:13 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:02:23 time: 0.0813 data_time: 0.0197 memory: 1724 2022/08/10 19:27:14 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:39 time: 0.0572 data_time: 0.0043 memory: 1724 2022/08/10 19:27:16 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:46 time: 0.0617 data_time: 0.0053 memory: 1679 2022/08/10 19:27:17 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:41 time: 0.0595 data_time: 0.0052 memory: 1679 2022/08/10 19:27:18 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:01:30 time: 0.0536 data_time: 0.0034 memory: 1679 2022/08/10 19:27:19 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:38 time: 0.0593 data_time: 0.0046 memory: 1679 2022/08/10 19:27:20 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:01:51 time: 0.0678 data_time: 0.0046 memory: 1707 2022/08/10 19:27:23 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:03:01 time: 0.1120 data_time: 0.0044 memory: 1707 2022/08/10 19:27:24 - mmengine - INFO - Epoch(val) [6][4680/6282] eta: 0:01:57 time: 0.0735 data_time: 0.0074 memory: 1707 2022/08/10 19:27:25 - mmengine - INFO - Epoch(val) [6][4700/6282] eta: 0:01:42 time: 0.0646 data_time: 0.0037 memory: 1707 2022/08/10 19:27:27 - mmengine - INFO - Epoch(val) [6][4720/6282] eta: 0:01:47 time: 0.0689 data_time: 0.0046 memory: 1707 2022/08/10 19:27:28 - mmengine - INFO - Epoch(val) [6][4740/6282] eta: 0:01:32 time: 0.0602 data_time: 0.0037 memory: 1688 2022/08/10 19:27:29 - mmengine - INFO - Epoch(val) [6][4760/6282] eta: 0:01:35 time: 0.0627 data_time: 0.0047 memory: 1729 2022/08/10 19:27:30 - mmengine - INFO - Epoch(val) [6][4780/6282] eta: 0:01:26 time: 0.0578 data_time: 0.0046 memory: 1688 2022/08/10 19:27:32 - mmengine - INFO - Epoch(val) [6][4800/6282] eta: 0:02:18 time: 0.0937 data_time: 0.0040 memory: 1688 2022/08/10 19:27:34 - mmengine - INFO - Epoch(val) [6][4820/6282] eta: 0:01:35 time: 0.0653 data_time: 0.0049 memory: 1704 2022/08/10 19:27:35 - mmengine - INFO - Epoch(val) [6][4840/6282] eta: 0:01:36 time: 0.0666 data_time: 0.0047 memory: 1704 2022/08/10 19:27:36 - mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:35 time: 0.0674 data_time: 0.0049 memory: 1704 2022/08/10 19:27:38 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:30 time: 0.0643 data_time: 0.0040 memory: 1704 2022/08/10 19:27:39 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:32 time: 0.0669 data_time: 0.0037 memory: 1704 2022/08/10 19:27:40 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:33 time: 0.0686 data_time: 0.0048 memory: 1704 2022/08/10 19:27:42 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:34 time: 0.0705 data_time: 0.0049 memory: 1704 2022/08/10 19:27:44 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:02:07 time: 0.0964 data_time: 0.0040 memory: 1704 2022/08/10 19:27:45 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:41 time: 0.0781 data_time: 0.0048 memory: 1704 2022/08/10 19:27:47 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:01:32 time: 0.0720 data_time: 0.0053 memory: 1704 2022/08/10 19:27:48 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:01:18 time: 0.0624 data_time: 0.0040 memory: 1704 2022/08/10 19:27:49 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:01:13 time: 0.0588 data_time: 0.0056 memory: 1677 2022/08/10 19:27:50 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:01:12 time: 0.0597 data_time: 0.0038 memory: 1677 2022/08/10 19:27:52 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:01:14 time: 0.0620 data_time: 0.0042 memory: 1723 2022/08/10 19:27:53 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:01:12 time: 0.0612 data_time: 0.0041 memory: 1677 2022/08/10 19:27:54 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:01:11 time: 0.0616 data_time: 0.0033 memory: 1677 2022/08/10 19:27:55 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:01:07 time: 0.0592 data_time: 0.0047 memory: 1677 2022/08/10 19:27:56 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:01:04 time: 0.0575 data_time: 0.0042 memory: 1677 2022/08/10 19:27:58 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:01:03 time: 0.0577 data_time: 0.0044 memory: 1677 2022/08/10 19:27:59 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:01:10 time: 0.0652 data_time: 0.0100 memory: 1677 2022/08/10 19:28:00 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:01:02 time: 0.0590 data_time: 0.0040 memory: 1677 2022/08/10 19:28:01 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:01:04 time: 0.0618 data_time: 0.0036 memory: 1773 2022/08/10 19:28:03 - mmengine - INFO - Epoch(val) [6][5260/6282] eta: 0:01:01 time: 0.0600 data_time: 0.0044 memory: 1677 2022/08/10 19:28:04 - mmengine - INFO - Epoch(val) [6][5280/6282] eta: 0:01:00 time: 0.0604 data_time: 0.0037 memory: 1697 2022/08/10 19:28:05 - mmengine - INFO - Epoch(val) [6][5300/6282] eta: 0:01:10 time: 0.0717 data_time: 0.0042 memory: 1677 2022/08/10 19:28:06 - mmengine - INFO - Epoch(val) [6][5320/6282] eta: 0:00:59 time: 0.0615 data_time: 0.0050 memory: 1677 2022/08/10 19:28:08 - mmengine - INFO - Epoch(val) [6][5340/6282] eta: 0:00:53 time: 0.0571 data_time: 0.0044 memory: 1677 2022/08/10 19:28:09 - mmengine - INFO - Epoch(val) [6][5360/6282] eta: 0:00:52 time: 0.0569 data_time: 0.0039 memory: 1677 2022/08/10 19:28:10 - mmengine - INFO - Epoch(val) [6][5380/6282] eta: 0:01:01 time: 0.0678 data_time: 0.0099 memory: 1747 2022/08/10 19:28:11 - mmengine - INFO - Epoch(val) [6][5400/6282] eta: 0:00:50 time: 0.0575 data_time: 0.0048 memory: 1677 2022/08/10 19:28:12 - mmengine - INFO - Epoch(val) [6][5420/6282] eta: 0:00:50 time: 0.0583 data_time: 0.0053 memory: 1677 2022/08/10 19:28:14 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:47 time: 0.0560 data_time: 0.0041 memory: 1677 2022/08/10 19:28:15 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:45 time: 0.0551 data_time: 0.0043 memory: 1677 2022/08/10 19:28:16 - mmengine - INFO - Epoch(val) [6][5480/6282] eta: 0:01:08 time: 0.0849 data_time: 0.0059 memory: 1677 2022/08/10 19:28:17 - mmengine - INFO - Epoch(val) [6][5500/6282] eta: 0:00:44 time: 0.0571 data_time: 0.0041 memory: 1677 2022/08/10 19:28:19 - mmengine - INFO - Epoch(val) [6][5520/6282] eta: 0:00:45 time: 0.0600 data_time: 0.0050 memory: 1686 2022/08/10 19:28:20 - mmengine - INFO - Epoch(val) [6][5540/6282] eta: 0:00:49 time: 0.0661 data_time: 0.0055 memory: 1686 2022/08/10 19:28:21 - mmengine - INFO - Epoch(val) [6][5560/6282] eta: 0:00:43 time: 0.0601 data_time: 0.0042 memory: 1686 2022/08/10 19:28:23 - mmengine - INFO - Epoch(val) [6][5580/6282] eta: 0:00:50 time: 0.0722 data_time: 0.0196 memory: 1686 2022/08/10 19:28:24 - mmengine - INFO - Epoch(val) [6][5600/6282] eta: 0:00:41 time: 0.0608 data_time: 0.0043 memory: 1686 2022/08/10 19:28:25 - mmengine - INFO - Epoch(val) [6][5620/6282] eta: 0:00:37 time: 0.0570 data_time: 0.0047 memory: 1686 2022/08/10 19:28:26 - mmengine - INFO - Epoch(val) [6][5640/6282] eta: 0:00:36 time: 0.0574 data_time: 0.0046 memory: 1677 2022/08/10 19:28:27 - mmengine - INFO - Epoch(val) [6][5660/6282] eta: 0:00:32 time: 0.0522 data_time: 0.0042 memory: 1677 2022/08/10 19:28:28 - mmengine - INFO - Epoch(val) [6][5680/6282] eta: 0:00:32 time: 0.0539 data_time: 0.0052 memory: 1677 2022/08/10 19:28:29 - mmengine - INFO - Epoch(val) [6][5700/6282] eta: 0:00:31 time: 0.0536 data_time: 0.0040 memory: 1677 2022/08/10 19:28:31 - mmengine - INFO - Epoch(val) [6][5720/6282] eta: 0:00:31 time: 0.0560 data_time: 0.0034 memory: 1692 2022/08/10 19:28:32 - mmengine - INFO - Epoch(val) [6][5740/6282] eta: 0:00:32 time: 0.0606 data_time: 0.0042 memory: 1692 2022/08/10 19:28:33 - mmengine - INFO - Epoch(val) [6][5760/6282] eta: 0:00:32 time: 0.0623 data_time: 0.0034 memory: 1692 2022/08/10 19:28:34 - mmengine - INFO - Epoch(val) [6][5780/6282] eta: 0:00:32 time: 0.0653 data_time: 0.0047 memory: 1740 2022/08/10 19:28:36 - mmengine - INFO - Epoch(val) [6][5800/6282] eta: 0:00:42 time: 0.0873 data_time: 0.0049 memory: 1692 2022/08/10 19:28:37 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:31 time: 0.0685 data_time: 0.0056 memory: 1692 2022/08/10 19:28:39 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:27 time: 0.0622 data_time: 0.0048 memory: 1686 2022/08/10 19:28:40 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:25 time: 0.0602 data_time: 0.0045 memory: 1686 2022/08/10 19:28:41 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:24 time: 0.0602 data_time: 0.0047 memory: 1686 2022/08/10 19:28:42 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:23 time: 0.0606 data_time: 0.0038 memory: 1686 2022/08/10 19:28:43 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:21 time: 0.0581 data_time: 0.0037 memory: 1686 2022/08/10 19:28:45 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:18 time: 0.0553 data_time: 0.0041 memory: 1677 2022/08/10 19:28:46 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:18 time: 0.0586 data_time: 0.0055 memory: 1677 2022/08/10 19:28:47 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:16 time: 0.0552 data_time: 0.0037 memory: 1677 2022/08/10 19:28:48 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:19 time: 0.0682 data_time: 0.0054 memory: 1704 2022/08/10 19:28:50 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:19 time: 0.0734 data_time: 0.0067 memory: 1704 2022/08/10 19:28:51 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:18 time: 0.0762 data_time: 0.0055 memory: 1704 2022/08/10 19:28:53 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:17 time: 0.0780 data_time: 0.0060 memory: 1715 2022/08/10 19:28:54 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:15 time: 0.0762 data_time: 0.0067 memory: 1715 2022/08/10 19:28:56 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:18 time: 0.1002 data_time: 0.0064 memory: 1873 2022/08/10 19:28:58 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:11 time: 0.0735 data_time: 0.0048 memory: 1704 2022/08/10 19:28:59 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:10 time: 0.0768 data_time: 0.0052 memory: 1840 2022/08/10 19:29:01 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:09 time: 0.0744 data_time: 0.0040 memory: 1840 2022/08/10 19:29:02 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:06 time: 0.0676 data_time: 0.0037 memory: 1704 2022/08/10 19:29:03 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:04 time: 0.0599 data_time: 0.0030 memory: 1704 2022/08/10 19:29:05 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:03 time: 0.0599 data_time: 0.0029 memory: 1704 2022/08/10 19:29:06 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:02 time: 0.0611 data_time: 0.0042 memory: 1704 2022/08/10 19:29:07 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:01 time: 0.0569 data_time: 0.0025 memory: 1704 2022/08/10 19:29:08 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0637 data_time: 0.0025 memory: 1704 2022/08/10 19:34:03 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.2738 2022/08/10 19:34:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2022/08/10 19:34:09 - mmengine - INFO - The best checkpoint with 0.2738 mAP/mAP@0.5IOU at 7 epoch is saved to best_mAP/mAP@0.5IOU_epoch_7.pth. 2022/08/10 19:34:24 - mmengine - INFO - Epoch(train) [7][20/2881] lr: 4.9871e-02 eta: 2:18:49 time: 0.7408 data_time: 0.0968 memory: 15644 grad_norm: 0.2065 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.9825 recall@top3: 0.9211 prec@top3: 0.6842 recall@top5: 0.9868 prec@top5: 0.4632 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 19:34:38 - mmengine - INFO - Epoch(train) [7][40/2881] lr: 4.9734e-02 eta: 2:18:34 time: 0.6864 data_time: 0.0208 memory: 15472 grad_norm: 0.1911 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7026 recall@top3: 0.7308 prec@top3: 0.6282 recall@top5: 0.9487 prec@top5: 0.5077 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 19:34:52 - mmengine - INFO - Epoch(train) [7][60/2881] lr: 4.9598e-02 eta: 2:18:19 time: 0.6992 data_time: 0.0213 memory: 15606 grad_norm: 0.1894 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7344 recall@top3: 0.8510 prec@top3: 0.7083 recall@top5: 0.9750 prec@top5: 0.5125 loss_action_cls: 0.0309 loss: 0.0309 2022/08/10 19:35:06 - mmengine - INFO - Epoch(train) [7][80/2881] lr: 4.9462e-02 eta: 2:18:04 time: 0.6960 data_time: 0.0253 memory: 15223 grad_norm: 0.1907 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7625 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.8833 prec@top5: 0.4400 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 19:35:19 - mmengine - INFO - Epoch(train) [7][100/2881] lr: 4.9325e-02 eta: 2:17:50 time: 0.6893 data_time: 0.0220 memory: 15223 grad_norm: 0.1926 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8571 recall@top3: 0.8274 prec@top3: 0.7381 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 19:35:33 - mmengine - INFO - Epoch(train) [7][120/2881] lr: 4.9189e-02 eta: 2:17:35 time: 0.6831 data_time: 0.0207 memory: 15338 grad_norm: 0.1910 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.9074 recall@top3: 0.8944 prec@top3: 0.7778 recall@top5: 0.9889 prec@top5: 0.5333 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:35:47 - mmengine - INFO - Epoch(train) [7][140/2881] lr: 4.9053e-02 eta: 2:17:20 time: 0.6949 data_time: 0.0214 memory: 15280 grad_norm: 0.2015 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8194 recall@top3: 0.8438 prec@top3: 0.7778 recall@top5: 0.9549 prec@top5: 0.5333 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 19:36:01 - mmengine - INFO - Epoch(train) [7][160/2881] lr: 4.8916e-02 eta: 2:17:05 time: 0.7069 data_time: 0.0206 memory: 15548 grad_norm: 0.1915 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8333 recall@top3: 0.8730 prec@top3: 0.7619 recall@top5: 0.9286 prec@top5: 0.4952 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:36:15 - mmengine - INFO - Epoch(train) [7][180/2881] lr: 4.8780e-02 eta: 2:16:50 time: 0.6903 data_time: 0.0214 memory: 15242 grad_norm: 0.1925 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.8864 recall@top3: 0.8182 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.5000 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 19:36:29 - mmengine - INFO - Epoch(train) [7][200/2881] lr: 4.8644e-02 eta: 2:16:35 time: 0.6930 data_time: 0.0221 memory: 15357 grad_norm: 0.1776 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7456 recall@top3: 0.7368 prec@top3: 0.5439 recall@top5: 0.8246 prec@top5: 0.3684 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 19:36:43 - mmengine - INFO - Epoch(train) [7][220/2881] lr: 4.8508e-02 eta: 2:16:21 time: 0.7298 data_time: 0.0244 memory: 15433 grad_norm: 0.1921 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.8160 recall@top3: 0.8299 prec@top3: 0.7222 recall@top5: 0.9479 prec@top5: 0.4833 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 19:36:57 - mmengine - INFO - Epoch(train) [7][240/2881] lr: 4.8371e-02 eta: 2:16:06 time: 0.6834 data_time: 0.0230 memory: 15261 grad_norm: 0.2051 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7302 recall@top3: 0.8056 prec@top3: 0.5238 recall@top5: 0.9048 prec@top5: 0.3714 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 19:37:11 - mmengine - INFO - Epoch(train) [7][260/2881] lr: 4.8235e-02 eta: 2:15:51 time: 0.6889 data_time: 0.0216 memory: 15338 grad_norm: 0.1971 recall@thr=0.5: 0.8907 prec@thr=0.5: 0.8603 recall@top3: 0.8833 prec@top3: 0.8333 recall@top5: 0.9662 prec@top5: 0.5588 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 19:37:25 - mmengine - INFO - Epoch(train) [7][280/2881] lr: 4.8099e-02 eta: 2:15:36 time: 0.7120 data_time: 0.0249 memory: 15204 grad_norm: 0.1935 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.7917 recall@top3: 0.8875 prec@top3: 0.6167 recall@top5: 0.9750 prec@top5: 0.4200 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:37:39 - mmengine - INFO - Epoch(train) [7][300/2881] lr: 4.7963e-02 eta: 2:15:21 time: 0.6954 data_time: 0.0222 memory: 15395 grad_norm: 0.2017 recall@thr=0.5: 0.9097 prec@thr=0.5: 0.9306 recall@top3: 0.8854 prec@top3: 0.8750 recall@top5: 0.9792 prec@top5: 0.5750 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 19:37:54 - mmengine - INFO - Epoch(train) [7][320/2881] lr: 4.7827e-02 eta: 2:15:07 time: 0.7400 data_time: 0.0245 memory: 15338 grad_norm: 0.1949 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.8854 recall@top3: 0.8594 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 19:38:08 - mmengine - INFO - Epoch(train) [7][340/2881] lr: 4.7690e-02 eta: 2:14:52 time: 0.7010 data_time: 0.0219 memory: 15338 grad_norm: 0.1900 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.8793 recall@top3: 0.8546 prec@top3: 0.7356 recall@top5: 0.9862 prec@top5: 0.5241 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 19:38:21 - mmengine - INFO - Epoch(train) [7][360/2881] lr: 4.7554e-02 eta: 2:14:37 time: 0.6733 data_time: 0.0225 memory: 15300 grad_norm: 0.2062 recall@thr=0.5: 0.7425 prec@thr=0.5: 0.7150 recall@top3: 0.8350 prec@top3: 0.6667 recall@top5: 0.9750 prec@top5: 0.5000 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 19:38:35 - mmengine - INFO - Epoch(train) [7][380/2881] lr: 4.7418e-02 eta: 2:14:23 time: 0.7079 data_time: 0.0232 memory: 15357 grad_norm: 0.1962 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.7250 recall@top3: 0.9000 prec@top3: 0.6167 recall@top5: 1.0000 prec@top5: 0.4100 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 19:38:49 - mmengine - INFO - Epoch(train) [7][400/2881] lr: 4.7282e-02 eta: 2:14:08 time: 0.6939 data_time: 0.0213 memory: 15261 grad_norm: 0.1989 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8611 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9815 prec@top5: 0.4333 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 19:39:03 - mmengine - INFO - Epoch(train) [7][420/2881] lr: 4.7146e-02 eta: 2:13:53 time: 0.6792 data_time: 0.0254 memory: 15300 grad_norm: 0.1988 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7333 recall@top3: 0.7778 prec@top3: 0.6889 recall@top5: 0.8778 prec@top5: 0.4800 loss_action_cls: 0.0295 loss: 0.0295 2022/08/10 19:39:17 - mmengine - INFO - Epoch(train) [7][440/2881] lr: 4.7010e-02 eta: 2:13:38 time: 0.7230 data_time: 0.0217 memory: 15452 grad_norm: 0.1938 recall@thr=0.5: 0.8895 prec@thr=0.5: 0.8858 recall@top3: 0.8870 prec@top3: 0.7654 recall@top5: 1.0000 prec@top5: 0.5407 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 19:39:31 - mmengine - INFO - Epoch(train) [7][460/2881] lr: 4.6874e-02 eta: 2:13:23 time: 0.6847 data_time: 0.0261 memory: 15338 grad_norm: 0.1966 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7583 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.9417 prec@top5: 0.4500 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 19:39:45 - mmengine - INFO - Epoch(train) [7][480/2881] lr: 4.6738e-02 eta: 2:13:09 time: 0.6979 data_time: 0.0225 memory: 15510 grad_norm: 0.1902 recall@thr=0.5: 0.6184 prec@thr=0.5: 0.7982 recall@top3: 0.8070 prec@top3: 0.7193 recall@top5: 0.8947 prec@top5: 0.4947 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 19:39:59 - mmengine - INFO - Epoch(train) [7][500/2881] lr: 4.6602e-02 eta: 2:12:54 time: 0.6937 data_time: 0.0219 memory: 15184 grad_norm: 0.1889 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8333 recall@top3: 0.8421 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0317 loss: 0.0317 2022/08/10 19:40:12 - mmengine - INFO - Epoch(train) [7][520/2881] lr: 4.6466e-02 eta: 2:12:39 time: 0.6650 data_time: 0.0234 memory: 15491 grad_norm: 0.1970 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6481 recall@top3: 0.8519 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3778 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 19:40:27 - mmengine - INFO - Epoch(train) [7][540/2881] lr: 4.6330e-02 eta: 2:12:24 time: 0.7110 data_time: 0.0219 memory: 15280 grad_norm: 0.1851 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.9038 recall@top3: 0.8045 prec@top3: 0.7308 recall@top5: 0.9071 prec@top5: 0.5000 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 19:40:41 - mmengine - INFO - Epoch(train) [7][560/2881] lr: 4.6194e-02 eta: 2:12:10 time: 0.7334 data_time: 0.0269 memory: 15395 grad_norm: 0.1871 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.7533 recall@top3: 0.8467 prec@top3: 0.7200 recall@top5: 0.9533 prec@top5: 0.4960 loss_action_cls: 0.0303 loss: 0.0303 2022/08/10 19:40:55 - mmengine - INFO - Epoch(train) [7][580/2881] lr: 4.6058e-02 eta: 2:11:55 time: 0.6824 data_time: 0.0211 memory: 15318 grad_norm: 0.1976 recall@thr=0.5: 0.8676 prec@thr=0.5: 0.9216 recall@top3: 0.9706 prec@top3: 0.8627 recall@top5: 1.0000 prec@top5: 0.5412 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 19:41:09 - mmengine - INFO - Epoch(train) [7][600/2881] lr: 4.5922e-02 eta: 2:11:40 time: 0.6981 data_time: 0.0235 memory: 15223 grad_norm: 0.1992 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7971 recall@top3: 0.8080 prec@top3: 0.7101 recall@top5: 0.9130 prec@top5: 0.4957 loss_action_cls: 0.0345 loss: 0.0345 2022/08/10 19:41:23 - mmengine - INFO - Epoch(train) [7][620/2881] lr: 4.5786e-02 eta: 2:11:25 time: 0.7055 data_time: 0.0316 memory: 15300 grad_norm: 0.1880 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8333 recall@top3: 0.8704 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 19:41:36 - mmengine - INFO - Epoch(train) [7][640/2881] lr: 4.5651e-02 eta: 2:11:10 time: 0.6717 data_time: 0.0235 memory: 15357 grad_norm: 0.1866 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8485 recall@top3: 0.8068 prec@top3: 0.7424 recall@top5: 0.9773 prec@top5: 0.5727 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 19:41:51 - mmengine - INFO - Epoch(train) [7][660/2881] lr: 4.5515e-02 eta: 2:10:56 time: 0.7434 data_time: 0.0221 memory: 15261 grad_norm: 0.1996 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9524 recall@top3: 0.8651 prec@top3: 0.7460 recall@top5: 0.8889 prec@top5: 0.4571 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 19:42:05 - mmengine - INFO - Epoch(train) [7][680/2881] lr: 4.5379e-02 eta: 2:10:41 time: 0.6898 data_time: 0.0253 memory: 15433 grad_norm: 0.1990 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.7464 recall@top3: 0.7971 prec@top3: 0.7101 recall@top5: 0.9783 prec@top5: 0.5304 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 19:42:19 - mmengine - INFO - Epoch(train) [7][700/2881] lr: 4.5243e-02 eta: 2:10:26 time: 0.6881 data_time: 0.0246 memory: 15491 grad_norm: 0.1971 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7731 recall@top3: 0.7407 prec@top3: 0.5556 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 19:42:29 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 19:42:34 - mmengine - INFO - Epoch(train) [7][720/2881] lr: 4.5108e-02 eta: 2:10:12 time: 0.7853 data_time: 0.0278 memory: 15510 grad_norm: 0.1960 recall@thr=0.5: 0.8406 prec@thr=0.5: 0.9275 recall@top3: 0.9565 prec@top3: 0.8116 recall@top5: 0.9855 prec@top5: 0.5043 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 19:42:49 - mmengine - INFO - Epoch(train) [7][740/2881] lr: 4.4972e-02 eta: 2:09:58 time: 0.7193 data_time: 0.0291 memory: 15357 grad_norm: 0.1883 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9167 recall@top3: 0.9417 prec@top3: 0.6833 recall@top5: 0.9833 prec@top5: 0.4300 loss_action_cls: 0.0326 loss: 0.0326 2022/08/10 19:43:02 - mmengine - INFO - Epoch(train) [7][760/2881] lr: 4.4836e-02 eta: 2:09:43 time: 0.6820 data_time: 0.0213 memory: 15376 grad_norm: 0.2068 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8278 recall@top3: 0.8373 prec@top3: 0.7778 recall@top5: 0.8968 prec@top5: 0.5048 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 19:43:16 - mmengine - INFO - Epoch(train) [7][780/2881] lr: 4.4701e-02 eta: 2:09:28 time: 0.6709 data_time: 0.0220 memory: 15357 grad_norm: 0.1940 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.9120 recall@top3: 0.8796 prec@top3: 0.7778 recall@top5: 0.9676 prec@top5: 0.5222 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 19:43:30 - mmengine - INFO - Epoch(train) [7][800/2881] lr: 4.4565e-02 eta: 2:09:13 time: 0.6999 data_time: 0.0257 memory: 15280 grad_norm: 0.1954 recall@thr=0.5: 0.7628 prec@thr=0.5: 0.7115 recall@top3: 0.8782 prec@top3: 0.7179 recall@top5: 0.9615 prec@top5: 0.4769 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:43:44 - mmengine - INFO - Epoch(train) [7][820/2881] lr: 4.4430e-02 eta: 2:08:58 time: 0.7037 data_time: 0.0260 memory: 15433 grad_norm: 0.2000 recall@thr=0.5: 0.8629 prec@thr=0.5: 0.9194 recall@top3: 0.9247 prec@top3: 0.6559 recall@top5: 0.9839 prec@top5: 0.4323 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:43:58 - mmengine - INFO - Epoch(train) [7][840/2881] lr: 4.4294e-02 eta: 2:08:44 time: 0.6880 data_time: 0.0230 memory: 15318 grad_norm: 0.2015 recall@thr=0.5: 0.6267 prec@thr=0.5: 0.7267 recall@top3: 0.7400 prec@top3: 0.7067 recall@top5: 0.9267 prec@top5: 0.5280 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 19:44:11 - mmengine - INFO - Epoch(train) [7][860/2881] lr: 4.4159e-02 eta: 2:08:29 time: 0.6777 data_time: 0.0218 memory: 15318 grad_norm: 0.1942 recall@thr=0.5: 0.6898 prec@thr=0.5: 0.8333 recall@top3: 0.8148 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 19:44:25 - mmengine - INFO - Epoch(train) [7][880/2881] lr: 4.4024e-02 eta: 2:08:14 time: 0.6908 data_time: 0.0227 memory: 15376 grad_norm: 0.2034 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8194 recall@top3: 0.8519 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 19:44:39 - mmengine - INFO - Epoch(train) [7][900/2881] lr: 4.3888e-02 eta: 2:07:59 time: 0.7113 data_time: 0.0221 memory: 15338 grad_norm: 0.1936 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7246 recall@top3: 0.8188 prec@top3: 0.6957 recall@top5: 0.9420 prec@top5: 0.4870 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 19:44:53 - mmengine - INFO - Epoch(train) [7][920/2881] lr: 4.3753e-02 eta: 2:07:44 time: 0.6903 data_time: 0.0247 memory: 15338 grad_norm: 0.1957 recall@thr=0.5: 0.9136 prec@thr=0.5: 0.8674 recall@top3: 0.9364 prec@top3: 0.8030 recall@top5: 0.9758 prec@top5: 0.5091 loss_action_cls: 0.0302 loss: 0.0302 2022/08/10 19:45:07 - mmengine - INFO - Epoch(train) [7][940/2881] lr: 4.3618e-02 eta: 2:07:30 time: 0.7007 data_time: 0.0219 memory: 15357 grad_norm: 0.1941 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.9356 recall@top3: 0.8106 prec@top3: 0.8485 recall@top5: 0.9659 prec@top5: 0.6273 loss_action_cls: 0.0303 loss: 0.0303 2022/08/10 19:45:21 - mmengine - INFO - Epoch(train) [7][960/2881] lr: 4.3483e-02 eta: 2:07:15 time: 0.6865 data_time: 0.0226 memory: 15338 grad_norm: 0.1902 recall@thr=0.5: 0.8849 prec@thr=0.5: 0.8992 recall@top3: 0.8889 prec@top3: 0.7460 recall@top5: 0.9286 prec@top5: 0.4762 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 19:45:35 - mmengine - INFO - Epoch(train) [7][980/2881] lr: 4.3348e-02 eta: 2:07:00 time: 0.6952 data_time: 0.0244 memory: 15433 grad_norm: 0.1878 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.7583 recall@top3: 0.8833 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4100 loss_action_cls: 0.0295 loss: 0.0295 2022/08/10 19:45:49 - mmengine - INFO - Epoch(train) [7][1000/2881] lr: 4.3213e-02 eta: 2:06:45 time: 0.6999 data_time: 0.0250 memory: 15261 grad_norm: 0.2039 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.9643 recall@top3: 0.9524 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 19:46:02 - mmengine - INFO - Epoch(train) [7][1020/2881] lr: 4.3077e-02 eta: 2:06:30 time: 0.6807 data_time: 0.0255 memory: 15280 grad_norm: 0.2010 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.7879 recall@top3: 0.7121 prec@top3: 0.5606 recall@top5: 0.8598 prec@top5: 0.4364 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 19:46:16 - mmengine - INFO - Epoch(train) [7][1040/2881] lr: 4.2943e-02 eta: 2:06:15 time: 0.6754 data_time: 0.0227 memory: 15318 grad_norm: 0.2023 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8188 recall@top3: 0.8623 prec@top3: 0.5942 recall@top5: 0.9420 prec@top5: 0.4000 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 19:46:31 - mmengine - INFO - Epoch(train) [7][1060/2881] lr: 4.2808e-02 eta: 2:06:01 time: 0.7453 data_time: 0.0276 memory: 15395 grad_norm: 0.2041 recall@thr=0.5: 0.8659 prec@thr=0.5: 0.7580 recall@top3: 0.8007 prec@top3: 0.7536 recall@top5: 0.9710 prec@top5: 0.5739 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:46:45 - mmengine - INFO - Epoch(train) [7][1080/2881] lr: 4.2673e-02 eta: 2:05:46 time: 0.6929 data_time: 0.0219 memory: 15491 grad_norm: 0.1993 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9010 recall@top3: 0.9583 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 19:46:59 - mmengine - INFO - Epoch(train) [7][1100/2881] lr: 4.2538e-02 eta: 2:05:32 time: 0.6973 data_time: 0.0251 memory: 15376 grad_norm: 0.1961 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8444 recall@top3: 0.9222 prec@top3: 0.7556 recall@top5: 0.9778 prec@top5: 0.4800 loss_action_cls: 0.0309 loss: 0.0309 2022/08/10 19:47:13 - mmengine - INFO - Epoch(train) [7][1120/2881] lr: 4.2403e-02 eta: 2:05:17 time: 0.7133 data_time: 0.0245 memory: 15280 grad_norm: 0.1864 recall@thr=0.5: 0.7399 prec@thr=0.5: 0.8535 recall@top3: 0.8510 prec@top3: 0.8182 recall@top5: 0.9621 prec@top5: 0.5636 loss_action_cls: 0.0305 loss: 0.0305 2022/08/10 19:47:27 - mmengine - INFO - Epoch(train) [7][1140/2881] lr: 4.2268e-02 eta: 2:05:02 time: 0.7025 data_time: 0.0271 memory: 15491 grad_norm: 0.1922 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.8116 recall@top3: 0.8406 prec@top3: 0.6232 recall@top5: 0.9420 prec@top5: 0.4435 loss_action_cls: 0.0348 loss: 0.0348 2022/08/10 19:47:41 - mmengine - INFO - Epoch(train) [7][1160/2881] lr: 4.2134e-02 eta: 2:04:48 time: 0.7122 data_time: 0.0204 memory: 15414 grad_norm: 0.1884 recall@thr=0.5: 0.9365 prec@thr=0.5: 0.9841 recall@top3: 0.9206 prec@top3: 0.8889 recall@top5: 1.0000 prec@top5: 0.5905 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 19:47:55 - mmengine - INFO - Epoch(train) [7][1180/2881] lr: 4.1999e-02 eta: 2:04:33 time: 0.7117 data_time: 0.0280 memory: 15261 grad_norm: 0.2028 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.8467 recall@top3: 0.9200 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4240 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 19:48:10 - mmengine - INFO - Epoch(train) [7][1200/2881] lr: 4.1865e-02 eta: 2:04:19 time: 0.7223 data_time: 0.0281 memory: 15376 grad_norm: 0.1948 recall@thr=0.5: 0.7928 prec@thr=0.5: 0.9139 recall@top3: 0.8511 prec@top3: 0.7667 recall@top5: 0.9733 prec@top5: 0.5267 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 19:48:24 - mmengine - INFO - Epoch(train) [7][1220/2881] lr: 4.1730e-02 eta: 2:04:04 time: 0.7212 data_time: 0.0278 memory: 15261 grad_norm: 0.1860 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8333 recall@top3: 0.7500 prec@top3: 0.5926 recall@top5: 0.9167 prec@top5: 0.4111 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 19:48:39 - mmengine - INFO - Epoch(train) [7][1240/2881] lr: 4.1596e-02 eta: 2:03:50 time: 0.7111 data_time: 0.0207 memory: 15338 grad_norm: 0.1973 recall@thr=0.5: 0.7257 prec@thr=0.5: 0.8403 recall@top3: 0.8368 prec@top3: 0.6944 recall@top5: 0.9444 prec@top5: 0.4833 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 19:48:53 - mmengine - INFO - Epoch(train) [7][1260/2881] lr: 4.1462e-02 eta: 2:03:35 time: 0.7009 data_time: 0.0271 memory: 15491 grad_norm: 0.2093 recall@thr=0.5: 0.7922 prec@thr=0.5: 0.8200 recall@top3: 0.8311 prec@top3: 0.8222 recall@top5: 0.9444 prec@top5: 0.5733 loss_action_cls: 0.0349 loss: 0.0349 2022/08/10 19:49:06 - mmengine - INFO - Epoch(train) [7][1280/2881] lr: 4.1327e-02 eta: 2:03:20 time: 0.6629 data_time: 0.0213 memory: 15261 grad_norm: 0.2013 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7576 recall@top3: 0.8485 prec@top3: 0.6818 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 19:49:20 - mmengine - INFO - Epoch(train) [7][1300/2881] lr: 4.1193e-02 eta: 2:03:05 time: 0.7185 data_time: 0.0247 memory: 15357 grad_norm: 0.2007 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8729 recall@top3: 0.7215 prec@top3: 0.7639 recall@top5: 0.9014 prec@top5: 0.6000 loss_action_cls: 0.0361 loss: 0.0361 2022/08/10 19:49:34 - mmengine - INFO - Epoch(train) [7][1320/2881] lr: 4.1059e-02 eta: 2:02:51 time: 0.6839 data_time: 0.0263 memory: 15204 grad_norm: 0.1990 recall@thr=0.5: 0.6994 prec@thr=0.5: 0.8244 recall@top3: 0.6815 prec@top3: 0.6310 recall@top5: 0.9315 prec@top5: 0.5286 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 19:49:48 - mmengine - INFO - Epoch(train) [7][1340/2881] lr: 4.0925e-02 eta: 2:02:36 time: 0.7238 data_time: 0.0270 memory: 15395 grad_norm: 0.1832 recall@thr=0.5: 0.6142 prec@thr=0.5: 0.7037 recall@top3: 0.7562 prec@top3: 0.7160 recall@top5: 0.9630 prec@top5: 0.5556 loss_action_cls: 0.0307 loss: 0.0307 2022/08/10 19:50:02 - mmengine - INFO - Epoch(train) [7][1360/2881] lr: 4.0791e-02 eta: 2:02:21 time: 0.6861 data_time: 0.0214 memory: 15395 grad_norm: 0.1898 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8177 recall@top3: 0.8438 prec@top3: 0.6458 recall@top5: 0.9062 prec@top5: 0.4000 loss_action_cls: 0.0317 loss: 0.0317 2022/08/10 19:50:17 - mmengine - INFO - Epoch(train) [7][1380/2881] lr: 4.0657e-02 eta: 2:02:07 time: 0.7229 data_time: 0.0330 memory: 15376 grad_norm: 0.2075 recall@thr=0.5: 0.8369 prec@thr=0.5: 0.8384 recall@top3: 0.8384 prec@top3: 0.7576 recall@top5: 0.9449 prec@top5: 0.5455 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 19:50:33 - mmengine - INFO - Epoch(train) [7][1400/2881] lr: 4.0523e-02 eta: 2:01:53 time: 0.8007 data_time: 0.0223 memory: 15338 grad_norm: 0.2034 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.9697 recall@top3: 0.8485 prec@top3: 0.8182 recall@top5: 1.0000 prec@top5: 0.5909 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 19:50:46 - mmengine - INFO - Epoch(train) [7][1420/2881] lr: 4.0389e-02 eta: 2:01:38 time: 0.6687 data_time: 0.0236 memory: 15472 grad_norm: 0.1881 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7315 recall@top3: 0.8380 prec@top3: 0.6852 recall@top5: 0.8935 prec@top5: 0.4444 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 19:51:00 - mmengine - INFO - Epoch(train) [7][1440/2881] lr: 4.0256e-02 eta: 2:01:24 time: 0.7249 data_time: 0.0219 memory: 15452 grad_norm: 0.2035 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7179 recall@top3: 0.9295 prec@top3: 0.7308 recall@top5: 0.9679 prec@top5: 0.4538 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 19:51:15 - mmengine - INFO - Epoch(train) [7][1460/2881] lr: 4.0122e-02 eta: 2:01:09 time: 0.7354 data_time: 0.0283 memory: 15414 grad_norm: 0.1944 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.9043 recall@top3: 0.8241 prec@top3: 0.7778 recall@top5: 0.9722 prec@top5: 0.5630 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 19:51:30 - mmengine - INFO - Epoch(train) [7][1480/2881] lr: 3.9988e-02 eta: 2:00:55 time: 0.7200 data_time: 0.0281 memory: 15261 grad_norm: 0.1887 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7843 recall@top3: 0.7451 prec@top3: 0.5686 recall@top5: 0.9216 prec@top5: 0.4353 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 19:51:43 - mmengine - INFO - Epoch(train) [7][1500/2881] lr: 3.9855e-02 eta: 2:00:40 time: 0.6673 data_time: 0.0246 memory: 15338 grad_norm: 0.1987 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.8250 prec@top3: 0.7500 recall@top5: 0.9750 prec@top5: 0.5200 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 19:51:57 - mmengine - INFO - Epoch(train) [7][1520/2881] lr: 3.9721e-02 eta: 2:00:26 time: 0.7294 data_time: 0.0232 memory: 15529 grad_norm: 0.1917 recall@thr=0.5: 0.6857 prec@thr=0.5: 0.8333 recall@top3: 0.7810 prec@top3: 0.5714 recall@top5: 0.8794 prec@top5: 0.4000 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 19:52:11 - mmengine - INFO - Epoch(train) [7][1540/2881] lr: 3.9588e-02 eta: 2:00:11 time: 0.6905 data_time: 0.0247 memory: 15357 grad_norm: 0.1926 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6957 recall@top3: 0.7899 prec@top3: 0.6812 recall@top5: 0.9783 prec@top5: 0.4783 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 19:52:24 - mmengine - INFO - Epoch(train) [7][1560/2881] lr: 3.9455e-02 eta: 1:59:56 time: 0.6580 data_time: 0.0217 memory: 15414 grad_norm: 0.2037 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.9394 recall@top3: 0.8106 prec@top3: 0.6970 recall@top5: 0.9394 prec@top5: 0.4909 loss_action_cls: 0.0295 loss: 0.0295 2022/08/10 19:52:38 - mmengine - INFO - Epoch(train) [7][1580/2881] lr: 3.9321e-02 eta: 1:59:41 time: 0.6901 data_time: 0.0220 memory: 15433 grad_norm: 0.1964 recall@thr=0.5: 0.8226 prec@thr=0.5: 0.9086 recall@top3: 0.8871 prec@top3: 0.9140 recall@top5: 0.9839 prec@top5: 0.6194 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 19:52:56 - mmengine - INFO - Epoch(train) [7][1600/2881] lr: 3.9188e-02 eta: 1:59:28 time: 0.9057 data_time: 0.0269 memory: 15395 grad_norm: 0.2066 recall@thr=0.5: 0.6821 prec@thr=0.5: 0.7399 recall@top3: 0.8327 prec@top3: 0.7381 recall@top5: 0.9929 prec@top5: 0.5571 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 19:53:10 - mmengine - INFO - Epoch(train) [7][1620/2881] lr: 3.9055e-02 eta: 1:59:14 time: 0.6856 data_time: 0.0214 memory: 15414 grad_norm: 0.1927 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8561 recall@top3: 0.9091 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.3909 loss_action_cls: 0.0303 loss: 0.0303 2022/08/10 19:53:24 - mmengine - INFO - Epoch(train) [7][1640/2881] lr: 3.8922e-02 eta: 1:58:59 time: 0.6917 data_time: 0.0216 memory: 15433 grad_norm: 0.1919 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7648 recall@top3: 0.7889 prec@top3: 0.7037 recall@top5: 0.9583 prec@top5: 0.5333 loss_action_cls: 0.0339 loss: 0.0339 2022/08/10 19:53:38 - mmengine - INFO - Epoch(train) [7][1660/2881] lr: 3.8789e-02 eta: 1:58:44 time: 0.6910 data_time: 0.0262 memory: 15357 grad_norm: 0.1971 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8571 recall@top3: 0.9048 prec@top3: 0.7619 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 19:53:52 - mmengine - INFO - Epoch(train) [7][1680/2881] lr: 3.8657e-02 eta: 1:58:29 time: 0.7081 data_time: 0.0235 memory: 15548 grad_norm: 0.1920 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.6104 recall@top3: 0.8125 prec@top3: 0.6528 recall@top5: 0.9583 prec@top5: 0.4750 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 19:54:06 - mmengine - INFO - Epoch(train) [7][1700/2881] lr: 3.8524e-02 eta: 1:58:15 time: 0.6970 data_time: 0.0237 memory: 15452 grad_norm: 0.1967 recall@thr=0.5: 0.8681 prec@thr=0.5: 0.9722 recall@top3: 0.9306 prec@top3: 0.7639 recall@top5: 0.9896 prec@top5: 0.5000 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 19:54:15 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 19:54:20 - mmengine - INFO - Epoch(train) [7][1720/2881] lr: 3.8391e-02 eta: 1:58:00 time: 0.6949 data_time: 0.0241 memory: 15376 grad_norm: 0.2017 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.8476 recall@top3: 0.8214 prec@top3: 0.8095 recall@top5: 0.9103 prec@top5: 0.5714 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 19:54:33 - mmengine - INFO - Epoch(train) [7][1740/2881] lr: 3.8259e-02 eta: 1:57:45 time: 0.6807 data_time: 0.0247 memory: 15318 grad_norm: 0.1907 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8102 recall@top3: 0.9444 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 19:54:48 - mmengine - INFO - Epoch(train) [7][1760/2881] lr: 3.8126e-02 eta: 1:57:31 time: 0.7097 data_time: 0.0238 memory: 15548 grad_norm: 0.1977 recall@thr=0.5: 0.6451 prec@thr=0.5: 0.7994 recall@top3: 0.8210 prec@top3: 0.6790 recall@top5: 0.9321 prec@top5: 0.4815 loss_action_cls: 0.0290 loss: 0.0290 2022/08/10 19:55:02 - mmengine - INFO - Epoch(train) [7][1780/2881] lr: 3.7994e-02 eta: 1:57:16 time: 0.7092 data_time: 0.0255 memory: 15300 grad_norm: 0.1897 recall@thr=0.5: 0.9143 prec@thr=0.5: 0.9524 recall@top3: 0.9286 prec@top3: 0.8476 recall@top5: 0.9714 prec@top5: 0.5371 loss_action_cls: 0.0329 loss: 0.0329 2022/08/10 19:55:16 - mmengine - INFO - Epoch(train) [7][1800/2881] lr: 3.7862e-02 eta: 1:57:01 time: 0.7071 data_time: 0.0259 memory: 15414 grad_norm: 0.1913 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.6635 recall@top3: 0.8397 prec@top3: 0.6410 recall@top5: 0.9167 prec@top5: 0.4308 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 19:55:30 - mmengine - INFO - Epoch(train) [7][1820/2881] lr: 3.7730e-02 eta: 1:56:47 time: 0.6941 data_time: 0.0236 memory: 15472 grad_norm: 0.1947 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8968 recall@top3: 0.8492 prec@top3: 0.8254 recall@top5: 0.9762 prec@top5: 0.5905 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 19:55:43 - mmengine - INFO - Epoch(train) [7][1840/2881] lr: 3.7597e-02 eta: 1:56:31 time: 0.6538 data_time: 0.0234 memory: 15318 grad_norm: 0.2014 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8056 recall@top3: 0.7931 prec@top3: 0.6111 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 19:55:57 - mmengine - INFO - Epoch(train) [7][1860/2881] lr: 3.7465e-02 eta: 1:56:17 time: 0.6951 data_time: 0.0240 memory: 15491 grad_norm: 0.1897 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.8788 recall@top3: 0.8068 prec@top3: 0.7879 recall@top5: 0.9697 prec@top5: 0.5818 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 19:56:11 - mmengine - INFO - Epoch(train) [7][1880/2881] lr: 3.7334e-02 eta: 1:56:02 time: 0.7299 data_time: 0.0223 memory: 15567 grad_norm: 0.1972 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.8782 recall@top3: 0.8013 prec@top3: 0.6667 recall@top5: 0.9551 prec@top5: 0.4923 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 19:56:25 - mmengine - INFO - Epoch(train) [7][1900/2881] lr: 3.7202e-02 eta: 1:55:47 time: 0.6659 data_time: 0.0225 memory: 15280 grad_norm: 0.2007 recall@thr=0.5: 0.8155 prec@thr=0.5: 0.7560 recall@top3: 0.8185 prec@top3: 0.7381 recall@top5: 0.9256 prec@top5: 0.5143 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 19:56:39 - mmengine - INFO - Epoch(train) [7][1920/2881] lr: 3.7070e-02 eta: 1:55:33 time: 0.7112 data_time: 0.0212 memory: 15452 grad_norm: 0.2041 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8246 recall@top3: 0.9386 prec@top3: 0.8246 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 19:56:53 - mmengine - INFO - Epoch(train) [7][1940/2881] lr: 3.6938e-02 eta: 1:55:18 time: 0.7150 data_time: 0.0244 memory: 15491 grad_norm: 0.1992 recall@thr=0.5: 0.7968 prec@thr=0.5: 0.7514 recall@top3: 0.8273 prec@top3: 0.7407 recall@top5: 0.9403 prec@top5: 0.5167 loss_action_cls: 0.0319 loss: 0.0319 2022/08/10 19:57:07 - mmengine - INFO - Epoch(train) [7][1960/2881] lr: 3.6807e-02 eta: 1:55:04 time: 0.6873 data_time: 0.0205 memory: 15395 grad_norm: 0.1973 recall@thr=0.5: 0.9314 prec@thr=0.5: 0.9804 recall@top3: 0.9314 prec@top3: 0.6078 recall@top5: 0.9853 prec@top5: 0.4000 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 19:57:21 - mmengine - INFO - Epoch(train) [7][1980/2881] lr: 3.6675e-02 eta: 1:54:49 time: 0.6942 data_time: 0.0240 memory: 15376 grad_norm: 0.2027 recall@thr=0.5: 0.8289 prec@thr=0.5: 0.9386 recall@top3: 0.8465 prec@top3: 0.8596 recall@top5: 1.0000 prec@top5: 0.6105 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 19:57:35 - mmengine - INFO - Epoch(train) [7][2000/2881] lr: 3.6544e-02 eta: 1:54:34 time: 0.7081 data_time: 0.0236 memory: 15280 grad_norm: 0.1953 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.7583 recall@top3: 0.7417 prec@top3: 0.6333 recall@top5: 0.9083 prec@top5: 0.4600 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 19:57:49 - mmengine - INFO - Epoch(train) [7][2020/2881] lr: 3.6413e-02 eta: 1:54:20 time: 0.6931 data_time: 0.0220 memory: 15300 grad_norm: 0.2017 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.7803 recall@top3: 0.8561 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.4727 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 19:58:03 - mmengine - INFO - Epoch(train) [7][2040/2881] lr: 3.6282e-02 eta: 1:54:05 time: 0.7163 data_time: 0.0225 memory: 15472 grad_norm: 0.2032 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.8141 recall@top3: 0.8744 prec@top3: 0.7051 recall@top5: 0.9590 prec@top5: 0.4692 loss_action_cls: 0.0367 loss: 0.0367 2022/08/10 19:58:17 - mmengine - INFO - Epoch(train) [7][2060/2881] lr: 3.6151e-02 eta: 1:53:50 time: 0.6985 data_time: 0.0250 memory: 15472 grad_norm: 0.1944 recall@thr=0.5: 0.7747 prec@thr=0.5: 0.8704 recall@top3: 0.8241 prec@top3: 0.6173 recall@top5: 0.9877 prec@top5: 0.4667 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 19:58:32 - mmengine - INFO - Epoch(train) [7][2080/2881] lr: 3.6020e-02 eta: 1:53:36 time: 0.7470 data_time: 0.0218 memory: 15357 grad_norm: 0.1962 recall@thr=0.5: 0.7328 prec@thr=0.5: 0.8046 recall@top3: 0.8477 prec@top3: 0.7816 recall@top5: 0.9799 prec@top5: 0.5448 loss_action_cls: 0.0352 loss: 0.0352 2022/08/10 19:58:46 - mmengine - INFO - Epoch(train) [7][2100/2881] lr: 3.5889e-02 eta: 1:53:21 time: 0.6806 data_time: 0.0238 memory: 15280 grad_norm: 0.1838 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.9228 recall@top3: 0.9298 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0319 loss: 0.0319 2022/08/10 19:59:00 - mmengine - INFO - Epoch(train) [7][2120/2881] lr: 3.5758e-02 eta: 1:53:07 time: 0.6997 data_time: 0.0229 memory: 15529 grad_norm: 0.1970 recall@thr=0.5: 0.7356 prec@thr=0.5: 0.7992 recall@top3: 0.7659 prec@top3: 0.7121 recall@top5: 0.9379 prec@top5: 0.5273 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 19:59:14 - mmengine - INFO - Epoch(train) [7][2140/2881] lr: 3.5628e-02 eta: 1:52:52 time: 0.7002 data_time: 0.0257 memory: 15452 grad_norm: 0.1948 recall@thr=0.5: 0.7311 prec@thr=0.5: 0.7803 recall@top3: 0.8712 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 19:59:27 - mmengine - INFO - Epoch(train) [7][2160/2881] lr: 3.5497e-02 eta: 1:52:37 time: 0.6847 data_time: 0.0261 memory: 15586 grad_norm: 0.1912 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.8000 recall@top3: 0.7644 prec@top3: 0.5909 recall@top5: 0.9364 prec@top5: 0.4636 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 19:59:41 - mmengine - INFO - Epoch(train) [7][2180/2881] lr: 3.5367e-02 eta: 1:52:22 time: 0.6811 data_time: 0.0226 memory: 15376 grad_norm: 0.2019 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.9123 recall@top3: 0.9474 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.4632 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 19:59:55 - mmengine - INFO - Epoch(train) [7][2200/2881] lr: 3.5237e-02 eta: 1:52:08 time: 0.6807 data_time: 0.0323 memory: 15395 grad_norm: 0.1960 recall@thr=0.5: 0.8287 prec@thr=0.5: 0.9537 recall@top3: 0.9861 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 20:00:09 - mmengine - INFO - Epoch(train) [7][2220/2881] lr: 3.5106e-02 eta: 1:51:53 time: 0.7225 data_time: 0.0213 memory: 15280 grad_norm: 0.1989 recall@thr=0.5: 0.8014 prec@thr=0.5: 0.7847 recall@top3: 0.8847 prec@top3: 0.6250 recall@top5: 0.9833 prec@top5: 0.4250 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 20:00:22 - mmengine - INFO - Epoch(train) [7][2240/2881] lr: 3.4976e-02 eta: 1:51:38 time: 0.6633 data_time: 0.0233 memory: 15452 grad_norm: 0.1926 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.7940 recall@top3: 0.8095 prec@top3: 0.6905 recall@top5: 0.9554 prec@top5: 0.5071 loss_action_cls: 0.0309 loss: 0.0309 2022/08/10 20:00:37 - mmengine - INFO - Epoch(train) [7][2260/2881] lr: 3.4846e-02 eta: 1:51:24 time: 0.7189 data_time: 0.0229 memory: 15529 grad_norm: 0.2037 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.9405 recall@top3: 0.8571 prec@top3: 0.6905 recall@top5: 0.9762 prec@top5: 0.5000 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 20:00:51 - mmengine - INFO - Epoch(train) [7][2280/2881] lr: 3.4716e-02 eta: 1:51:09 time: 0.7134 data_time: 0.0238 memory: 15491 grad_norm: 0.2032 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.8778 recall@top3: 0.9333 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.3867 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 20:01:05 - mmengine - INFO - Epoch(train) [7][2300/2881] lr: 3.4587e-02 eta: 1:50:55 time: 0.6869 data_time: 0.0225 memory: 15452 grad_norm: 0.2078 recall@thr=0.5: 0.7873 prec@thr=0.5: 0.8307 recall@top3: 0.7993 prec@top3: 0.8267 recall@top5: 0.9307 prec@top5: 0.5920 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 20:01:19 - mmengine - INFO - Epoch(train) [7][2320/2881] lr: 3.4457e-02 eta: 1:50:40 time: 0.6989 data_time: 0.0230 memory: 15261 grad_norm: 0.1979 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.7667 recall@top3: 0.8667 prec@top3: 0.6133 recall@top5: 0.9733 prec@top5: 0.4240 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 20:01:33 - mmengine - INFO - Epoch(train) [7][2340/2881] lr: 3.4328e-02 eta: 1:50:25 time: 0.7244 data_time: 0.0251 memory: 15184 grad_norm: 0.1997 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.6746 recall@top3: 0.6627 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 20:01:47 - mmengine - INFO - Epoch(train) [7][2360/2881] lr: 3.4198e-02 eta: 1:50:11 time: 0.6907 data_time: 0.0254 memory: 15338 grad_norm: 0.2071 recall@thr=0.5: 0.8565 prec@thr=0.5: 0.8796 recall@top3: 0.8935 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0343 loss: 0.0343 2022/08/10 20:02:01 - mmengine - INFO - Epoch(train) [7][2380/2881] lr: 3.4069e-02 eta: 1:49:56 time: 0.7041 data_time: 0.0239 memory: 15395 grad_norm: 0.2038 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.9286 recall@top3: 0.8810 prec@top3: 0.7778 recall@top5: 0.9524 prec@top5: 0.5238 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 20:02:14 - mmengine - INFO - Epoch(train) [7][2400/2881] lr: 3.3940e-02 eta: 1:49:41 time: 0.6612 data_time: 0.0219 memory: 15318 grad_norm: 0.1887 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.8167 recall@top3: 0.9000 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 20:02:29 - mmengine - INFO - Epoch(train) [7][2420/2881] lr: 3.3811e-02 eta: 1:49:27 time: 0.7126 data_time: 0.0228 memory: 15586 grad_norm: 0.1853 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.7764 recall@top3: 0.8229 prec@top3: 0.6389 recall@top5: 0.9444 prec@top5: 0.4500 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 20:02:43 - mmengine - INFO - Epoch(train) [7][2440/2881] lr: 3.3682e-02 eta: 1:49:12 time: 0.7137 data_time: 0.0239 memory: 15433 grad_norm: 0.1931 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7807 recall@top3: 0.7267 prec@top3: 0.6933 recall@top5: 0.9800 prec@top5: 0.5600 loss_action_cls: 0.0358 loss: 0.0358 2022/08/10 20:02:57 - mmengine - INFO - Epoch(train) [7][2460/2881] lr: 3.3553e-02 eta: 1:48:57 time: 0.6838 data_time: 0.0219 memory: 15567 grad_norm: 0.1986 recall@thr=0.5: 0.6411 prec@thr=0.5: 0.8333 recall@top3: 0.7095 prec@top3: 0.6786 recall@top5: 0.9077 prec@top5: 0.5429 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 20:03:10 - mmengine - INFO - Epoch(train) [7][2480/2881] lr: 3.3424e-02 eta: 1:48:43 time: 0.6802 data_time: 0.0239 memory: 15357 grad_norm: 0.2017 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.8125 recall@top3: 0.8438 prec@top3: 0.5208 recall@top5: 0.8750 prec@top5: 0.3375 loss_action_cls: 0.0337 loss: 0.0337 2022/08/10 20:03:24 - mmengine - INFO - Epoch(train) [7][2500/2881] lr: 3.3296e-02 eta: 1:48:28 time: 0.6898 data_time: 0.0225 memory: 15204 grad_norm: 0.1986 recall@thr=0.5: 0.8397 prec@thr=0.5: 0.8849 recall@top3: 0.8778 prec@top3: 0.7302 recall@top5: 0.9841 prec@top5: 0.5143 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 20:03:38 - mmengine - INFO - Epoch(train) [7][2520/2881] lr: 3.3168e-02 eta: 1:48:13 time: 0.6794 data_time: 0.0210 memory: 15300 grad_norm: 0.1949 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8000 recall@top3: 0.8389 prec@top3: 0.6778 recall@top5: 0.9667 prec@top5: 0.4600 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 20:03:51 - mmengine - INFO - Epoch(train) [7][2540/2881] lr: 3.3039e-02 eta: 1:47:58 time: 0.6958 data_time: 0.0243 memory: 15395 grad_norm: 0.1965 recall@thr=0.5: 0.7526 prec@thr=0.5: 0.8385 recall@top3: 0.8307 prec@top3: 0.5729 recall@top5: 0.9844 prec@top5: 0.4312 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 20:04:05 - mmengine - INFO - Epoch(train) [7][2560/2881] lr: 3.2911e-02 eta: 1:47:44 time: 0.6661 data_time: 0.0328 memory: 15338 grad_norm: 0.1977 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8571 recall@top3: 0.9048 prec@top3: 0.7778 recall@top5: 0.9524 prec@top5: 0.5048 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 20:04:19 - mmengine - INFO - Epoch(train) [7][2580/2881] lr: 3.2783e-02 eta: 1:47:29 time: 0.6901 data_time: 0.0216 memory: 15300 grad_norm: 0.2068 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.9833 recall@top3: 0.9167 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 20:04:32 - mmengine - INFO - Epoch(train) [7][2600/2881] lr: 3.2655e-02 eta: 1:47:14 time: 0.6906 data_time: 0.0272 memory: 15165 grad_norm: 0.2013 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.7963 recall@top3: 0.7870 prec@top3: 0.6481 recall@top5: 0.9815 prec@top5: 0.4667 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 20:04:47 - mmengine - INFO - Epoch(train) [7][2620/2881] lr: 3.2527e-02 eta: 1:47:00 time: 0.7131 data_time: 0.0221 memory: 15338 grad_norm: 0.2077 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8715 recall@top3: 0.7896 prec@top3: 0.8056 recall@top5: 0.9375 prec@top5: 0.6000 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 20:05:01 - mmengine - INFO - Epoch(train) [7][2640/2881] lr: 3.2400e-02 eta: 1:46:45 time: 0.7069 data_time: 0.0271 memory: 15452 grad_norm: 0.2084 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8202 recall@top3: 0.8684 prec@top3: 0.6842 recall@top5: 0.9649 prec@top5: 0.4526 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 20:05:14 - mmengine - INFO - Epoch(train) [7][2660/2881] lr: 3.2272e-02 eta: 1:46:30 time: 0.6696 data_time: 0.0285 memory: 15395 grad_norm: 0.1973 recall@thr=0.5: 0.6992 prec@thr=0.5: 0.7803 recall@top3: 0.6939 prec@top3: 0.7121 recall@top5: 0.8712 prec@top5: 0.5636 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:05:28 - mmengine - INFO - Epoch(train) [7][2680/2881] lr: 3.2145e-02 eta: 1:46:15 time: 0.6728 data_time: 0.0244 memory: 15318 grad_norm: 0.1949 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7807 recall@top3: 0.7500 prec@top3: 0.5789 recall@top5: 0.9342 prec@top5: 0.4421 loss_action_cls: 0.0309 loss: 0.0309 2022/08/10 20:05:42 - mmengine - INFO - Epoch(train) [7][2700/2881] lr: 3.2018e-02 eta: 1:46:01 time: 0.6967 data_time: 0.0288 memory: 15318 grad_norm: 0.1905 recall@thr=0.5: 0.6780 prec@thr=0.5: 0.6515 recall@top3: 0.6780 prec@top3: 0.5606 recall@top5: 0.8030 prec@top5: 0.3909 loss_action_cls: 0.0334 loss: 0.0334 2022/08/10 20:05:52 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 20:05:56 - mmengine - INFO - Epoch(train) [7][2720/2881] lr: 3.1890e-02 eta: 1:45:46 time: 0.7123 data_time: 0.0220 memory: 15433 grad_norm: 0.1917 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.9365 recall@top3: 0.7460 prec@top3: 0.6349 recall@top5: 0.9365 prec@top5: 0.4857 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:06:16 - mmengine - INFO - Epoch(train) [7][2740/2881] lr: 3.1763e-02 eta: 1:45:34 time: 0.9812 data_time: 0.0239 memory: 15357 grad_norm: 0.2021 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9233 recall@top3: 0.9067 prec@top3: 0.7733 recall@top5: 0.9900 prec@top5: 0.5200 loss_action_cls: 0.0350 loss: 0.0350 2022/08/10 20:06:30 - mmengine - INFO - Epoch(train) [7][2760/2881] lr: 3.1637e-02 eta: 1:45:20 time: 0.7161 data_time: 0.0321 memory: 15452 grad_norm: 0.1938 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.9120 recall@top3: 0.8611 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 20:06:43 - mmengine - INFO - Epoch(train) [7][2780/2881] lr: 3.1510e-02 eta: 1:45:05 time: 0.6724 data_time: 0.0239 memory: 15376 grad_norm: 0.1960 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8772 recall@top3: 0.8596 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 20:06:57 - mmengine - INFO - Epoch(train) [7][2800/2881] lr: 3.1383e-02 eta: 1:44:50 time: 0.6733 data_time: 0.0264 memory: 15395 grad_norm: 0.1919 recall@thr=0.5: 0.5923 prec@thr=0.5: 0.7756 recall@top3: 0.6962 prec@top3: 0.7436 recall@top5: 0.9103 prec@top5: 0.6077 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 20:07:10 - mmengine - INFO - Epoch(train) [7][2820/2881] lr: 3.1257e-02 eta: 1:44:35 time: 0.6578 data_time: 0.0226 memory: 15261 grad_norm: 0.1963 recall@thr=0.5: 0.8086 prec@thr=0.5: 0.8210 recall@top3: 0.7716 prec@top3: 0.6049 recall@top5: 0.9630 prec@top5: 0.4741 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 20:07:24 - mmengine - INFO - Epoch(train) [7][2840/2881] lr: 3.1131e-02 eta: 1:44:20 time: 0.7094 data_time: 0.0218 memory: 15395 grad_norm: 0.1962 recall@thr=0.5: 0.6738 prec@thr=0.5: 0.6286 recall@top3: 0.7905 prec@top3: 0.6000 recall@top5: 0.9143 prec@top5: 0.4229 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 20:07:39 - mmengine - INFO - Epoch(train) [7][2860/2881] lr: 3.1004e-02 eta: 1:44:06 time: 0.7394 data_time: 0.0267 memory: 15433 grad_norm: 0.1838 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.9583 recall@top3: 0.9375 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 20:07:53 - mmengine - INFO - Epoch(train) [7][2880/2881] lr: 3.0878e-02 eta: 1:43:52 time: 0.7293 data_time: 0.0283 memory: 15433 grad_norm: 0.1970 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8000 recall@top3: 0.8667 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0326 loss: 0.0326 2022/08/10 20:07:54 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 20:07:54 - mmengine - INFO - Epoch(train) [7][2881/2881] lr: 3.0872e-02 eta: 1:43:52 time: 0.7247 data_time: 0.0242 memory: 14936 grad_norm: 0.1969 recall@thr=0.5: 0.7814 prec@thr=0.5: 0.8578 recall@top3: 0.8598 prec@top3: 0.8431 recall@top5: 0.9618 prec@top5: 0.5765 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 20:07:54 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/10 20:08:05 - mmengine - INFO - Epoch(val) [7][20/6282] eta: 0:07:25 time: 0.0711 data_time: 0.0184 memory: 1670 2022/08/10 20:08:06 - mmengine - INFO - Epoch(val) [7][40/6282] eta: 0:05:18 time: 0.0511 data_time: 0.0034 memory: 1670 2022/08/10 20:08:07 - mmengine - INFO - Epoch(val) [7][60/6282] eta: 0:05:37 time: 0.0543 data_time: 0.0044 memory: 1670 2022/08/10 20:08:09 - mmengine - INFO - Epoch(val) [7][80/6282] eta: 0:05:39 time: 0.0547 data_time: 0.0042 memory: 1670 2022/08/10 20:08:10 - mmengine - INFO - Epoch(val) [7][100/6282] eta: 0:05:51 time: 0.0569 data_time: 0.0059 memory: 1670 2022/08/10 20:08:12 - mmengine - INFO - Epoch(val) [7][120/6282] eta: 0:09:51 time: 0.0960 data_time: 0.0194 memory: 1704 2022/08/10 20:08:14 - mmengine - INFO - Epoch(val) [7][140/6282] eta: 0:11:00 time: 0.1076 data_time: 0.0445 memory: 1704 2022/08/10 20:08:15 - mmengine - INFO - Epoch(val) [7][160/6282] eta: 0:07:16 time: 0.0714 data_time: 0.0093 memory: 1704 2022/08/10 20:08:17 - mmengine - INFO - Epoch(val) [7][180/6282] eta: 0:07:18 time: 0.0718 data_time: 0.0050 memory: 1704 2022/08/10 20:08:18 - mmengine - INFO - Epoch(val) [7][200/6282] eta: 0:06:54 time: 0.0682 data_time: 0.0050 memory: 1704 2022/08/10 20:08:19 - mmengine - INFO - Epoch(val) [7][220/6282] eta: 0:06:17 time: 0.0623 data_time: 0.0056 memory: 1677 2022/08/10 20:08:21 - mmengine - INFO - Epoch(val) [7][240/6282] eta: 0:06:30 time: 0.0647 data_time: 0.0047 memory: 1677 2022/08/10 20:08:22 - mmengine - INFO - Epoch(val) [7][260/6282] eta: 0:06:10 time: 0.0616 data_time: 0.0035 memory: 1677 2022/08/10 20:08:23 - mmengine - INFO - Epoch(val) [7][280/6282] eta: 0:06:14 time: 0.0624 data_time: 0.0049 memory: 1677 2022/08/10 20:08:24 - mmengine - INFO - Epoch(val) [7][300/6282] eta: 0:06:44 time: 0.0676 data_time: 0.0058 memory: 1704 2022/08/10 20:08:27 - mmengine - INFO - Epoch(val) [7][320/6282] eta: 0:10:58 time: 0.1104 data_time: 0.0142 memory: 1906 2022/08/10 20:08:28 - mmengine - INFO - Epoch(val) [7][340/6282] eta: 0:08:21 time: 0.0844 data_time: 0.0220 memory: 1774 2022/08/10 20:08:30 - mmengine - INFO - Epoch(val) [7][360/6282] eta: 0:08:23 time: 0.0851 data_time: 0.0114 memory: 1840 2022/08/10 20:08:31 - mmengine - INFO - Epoch(val) [7][380/6282] eta: 0:07:11 time: 0.0730 data_time: 0.0048 memory: 1840 2022/08/10 20:08:33 - mmengine - INFO - Epoch(val) [7][400/6282] eta: 0:06:24 time: 0.0654 data_time: 0.0046 memory: 1704 2022/08/10 20:08:34 - mmengine - INFO - Epoch(val) [7][420/6282] eta: 0:05:27 time: 0.0558 data_time: 0.0036 memory: 1677 2022/08/10 20:08:35 - mmengine - INFO - Epoch(val) [7][440/6282] eta: 0:05:29 time: 0.0564 data_time: 0.0044 memory: 1677 2022/08/10 20:08:37 - mmengine - INFO - Epoch(val) [7][460/6282] eta: 0:07:46 time: 0.0800 data_time: 0.0051 memory: 1677 2022/08/10 20:08:38 - mmengine - INFO - Epoch(val) [7][480/6282] eta: 0:05:12 time: 0.0539 data_time: 0.0035 memory: 1677 2022/08/10 20:08:39 - mmengine - INFO - Epoch(val) [7][500/6282] eta: 0:05:15 time: 0.0546 data_time: 0.0041 memory: 1677 2022/08/10 20:08:40 - mmengine - INFO - Epoch(val) [7][520/6282] eta: 0:05:16 time: 0.0550 data_time: 0.0038 memory: 1677 2022/08/10 20:08:41 - mmengine - INFO - Epoch(val) [7][540/6282] eta: 0:05:23 time: 0.0563 data_time: 0.0033 memory: 1677 2022/08/10 20:08:42 - mmengine - INFO - Epoch(val) [7][560/6282] eta: 0:05:39 time: 0.0593 data_time: 0.0048 memory: 1677 2022/08/10 20:08:43 - mmengine - INFO - Epoch(val) [7][580/6282] eta: 0:05:44 time: 0.0604 data_time: 0.0046 memory: 1677 2022/08/10 20:08:45 - mmengine - INFO - Epoch(val) [7][600/6282] eta: 0:05:26 time: 0.0575 data_time: 0.0032 memory: 1677 2022/08/10 20:08:46 - mmengine - INFO - Epoch(val) [7][620/6282] eta: 0:05:04 time: 0.0538 data_time: 0.0038 memory: 1677 2022/08/10 20:08:47 - mmengine - INFO - Epoch(val) [7][640/6282] eta: 0:04:54 time: 0.0522 data_time: 0.0033 memory: 1675 2022/08/10 20:08:49 - mmengine - INFO - Epoch(val) [7][660/6282] eta: 0:08:49 time: 0.0943 data_time: 0.0254 memory: 1675 2022/08/10 20:08:50 - mmengine - INFO - Epoch(val) [7][680/6282] eta: 0:07:02 time: 0.0754 data_time: 0.0173 memory: 1675 2022/08/10 20:08:52 - mmengine - INFO - Epoch(val) [7][700/6282] eta: 0:06:55 time: 0.0744 data_time: 0.0248 memory: 1675 2022/08/10 20:08:54 - mmengine - INFO - Epoch(val) [7][720/6282] eta: 0:09:47 time: 0.1057 data_time: 0.0373 memory: 1939 2022/08/10 20:08:57 - mmengine - INFO - Epoch(val) [7][740/6282] eta: 0:14:40 time: 0.1590 data_time: 0.0878 memory: 1807 2022/08/10 20:09:00 - mmengine - INFO - Epoch(val) [7][760/6282] eta: 0:14:03 time: 0.1527 data_time: 0.0722 memory: 1774 2022/08/10 20:09:03 - mmengine - INFO - Epoch(val) [7][780/6282] eta: 0:13:57 time: 0.1522 data_time: 0.0809 memory: 1704 2022/08/10 20:09:05 - mmengine - INFO - Epoch(val) [7][800/6282] eta: 0:10:33 time: 0.1155 data_time: 0.0517 memory: 1704 2022/08/10 20:09:07 - mmengine - INFO - Epoch(val) [7][820/6282] eta: 0:08:16 time: 0.0909 data_time: 0.0356 memory: 1704 2022/08/10 20:09:08 - mmengine - INFO - Epoch(val) [7][840/6282] eta: 0:05:43 time: 0.0632 data_time: 0.0054 memory: 1722 2022/08/10 20:09:10 - mmengine - INFO - Epoch(val) [7][860/6282] eta: 0:06:29 time: 0.0719 data_time: 0.0038 memory: 1677 2022/08/10 20:09:11 - mmengine - INFO - Epoch(val) [7][880/6282] eta: 0:05:14 time: 0.0583 data_time: 0.0046 memory: 1677 2022/08/10 20:09:12 - mmengine - INFO - Epoch(val) [7][900/6282] eta: 0:05:13 time: 0.0583 data_time: 0.0057 memory: 1677 2022/08/10 20:09:14 - mmengine - INFO - Epoch(val) [7][920/6282] eta: 0:07:48 time: 0.0874 data_time: 0.0034 memory: 1697 2022/08/10 20:09:15 - mmengine - INFO - Epoch(val) [7][940/6282] eta: 0:04:46 time: 0.0537 data_time: 0.0039 memory: 1670 2022/08/10 20:09:18 - mmengine - INFO - Epoch(val) [7][960/6282] eta: 0:10:52 time: 0.1226 data_time: 0.0779 memory: 1670 2022/08/10 20:09:19 - mmengine - INFO - Epoch(val) [7][980/6282] eta: 0:06:03 time: 0.0685 data_time: 0.0257 memory: 1670 2022/08/10 20:09:20 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:06:04 time: 0.0690 data_time: 0.0235 memory: 1670 2022/08/10 20:09:21 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:04:19 time: 0.0494 data_time: 0.0032 memory: 1670 2022/08/10 20:09:22 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:04:37 time: 0.0529 data_time: 0.0041 memory: 1677 2022/08/10 20:09:23 - mmengine - INFO - Epoch(val) [7][1060/6282] eta: 0:04:49 time: 0.0553 data_time: 0.0043 memory: 1677 2022/08/10 20:09:25 - mmengine - INFO - Epoch(val) [7][1080/6282] eta: 0:04:57 time: 0.0571 data_time: 0.0050 memory: 1677 2022/08/10 20:09:26 - mmengine - INFO - Epoch(val) [7][1100/6282] eta: 0:05:02 time: 0.0584 data_time: 0.0032 memory: 1677 2022/08/10 20:09:27 - mmengine - INFO - Epoch(val) [7][1120/6282] eta: 0:05:13 time: 0.0608 data_time: 0.0042 memory: 1677 2022/08/10 20:09:29 - mmengine - INFO - Epoch(val) [7][1140/6282] eta: 0:07:03 time: 0.0823 data_time: 0.0048 memory: 1677 2022/08/10 20:09:30 - mmengine - INFO - Epoch(val) [7][1160/6282] eta: 0:05:05 time: 0.0597 data_time: 0.0042 memory: 1677 2022/08/10 20:09:31 - mmengine - INFO - Epoch(val) [7][1180/6282] eta: 0:04:51 time: 0.0571 data_time: 0.0038 memory: 1677 2022/08/10 20:09:32 - mmengine - INFO - Epoch(val) [7][1200/6282] eta: 0:04:54 time: 0.0580 data_time: 0.0036 memory: 1747 2022/08/10 20:09:33 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:05:07 time: 0.0607 data_time: 0.0043 memory: 1677 2022/08/10 20:09:37 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:14:21 time: 0.1708 data_time: 0.1075 memory: 1704 2022/08/10 20:09:40 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:14:05 time: 0.1684 data_time: 0.0750 memory: 1704 2022/08/10 20:09:43 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:13:30 time: 0.1620 data_time: 0.0974 memory: 1704 2022/08/10 20:09:46 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:12:06 time: 0.1459 data_time: 0.0807 memory: 1704 2022/08/10 20:09:50 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:15:21 time: 0.1856 data_time: 0.1195 memory: 1704 2022/08/10 20:09:53 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:13:18 time: 0.1615 data_time: 0.0954 memory: 1704 2022/08/10 20:09:56 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:13:02 time: 0.1589 data_time: 0.0946 memory: 1704 2022/08/10 20:10:00 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:13:35 time: 0.1664 data_time: 0.0861 memory: 1704 2022/08/10 20:10:02 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:09:27 time: 0.1163 data_time: 0.0522 memory: 1704 2022/08/10 20:10:05 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:10:50 time: 0.1339 data_time: 0.0704 memory: 1704 2022/08/10 20:10:07 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:06:58 time: 0.0864 data_time: 0.0206 memory: 1715 2022/08/10 20:10:08 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:05:54 time: 0.0735 data_time: 0.0039 memory: 1873 2022/08/10 20:10:09 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:05:42 time: 0.0714 data_time: 0.0056 memory: 1807 2022/08/10 20:10:11 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:05:53 time: 0.0739 data_time: 0.0048 memory: 1807 2022/08/10 20:10:12 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:05:44 time: 0.0723 data_time: 0.0045 memory: 1798 2022/08/10 20:10:14 - mmengine - INFO - Epoch(val) [7][1540/6282] eta: 0:06:50 time: 0.0866 data_time: 0.0052 memory: 1798 2022/08/10 20:10:16 - mmengine - INFO - Epoch(val) [7][1560/6282] eta: 0:06:36 time: 0.0840 data_time: 0.0049 memory: 1798 2022/08/10 20:10:17 - mmengine - INFO - Epoch(val) [7][1580/6282] eta: 0:06:23 time: 0.0815 data_time: 0.0048 memory: 1798 2022/08/10 20:10:19 - mmengine - INFO - Epoch(val) [7][1600/6282] eta: 0:06:40 time: 0.0855 data_time: 0.0061 memory: 1798 2022/08/10 20:10:21 - mmengine - INFO - Epoch(val) [7][1620/6282] eta: 0:08:21 time: 0.1077 data_time: 0.0063 memory: 1798 2022/08/10 20:10:23 - mmengine - INFO - Epoch(val) [7][1640/6282] eta: 0:05:36 time: 0.0724 data_time: 0.0037 memory: 1840 2022/08/10 20:10:24 - mmengine - INFO - Epoch(val) [7][1660/6282] eta: 0:05:20 time: 0.0693 data_time: 0.0035 memory: 1704 2022/08/10 20:10:25 - mmengine - INFO - Epoch(val) [7][1680/6282] eta: 0:04:59 time: 0.0650 data_time: 0.0040 memory: 1704 2022/08/10 20:10:27 - mmengine - INFO - Epoch(val) [7][1700/6282] eta: 0:05:29 time: 0.0720 data_time: 0.0041 memory: 1939 2022/08/10 20:10:28 - mmengine - INFO - Epoch(val) [7][1720/6282] eta: 0:05:40 time: 0.0747 data_time: 0.0037 memory: 1973 2022/08/10 20:10:30 - mmengine - INFO - Epoch(val) [7][1740/6282] eta: 0:05:33 time: 0.0735 data_time: 0.0065 memory: 1704 2022/08/10 20:10:32 - mmengine - INFO - Epoch(val) [7][1760/6282] eta: 0:07:48 time: 0.1036 data_time: 0.0201 memory: 1704 2022/08/10 20:10:34 - mmengine - INFO - Epoch(val) [7][1780/6282] eta: 0:06:53 time: 0.0919 data_time: 0.0258 memory: 1704 2022/08/10 20:10:35 - mmengine - INFO - Epoch(val) [7][1800/6282] eta: 0:05:57 time: 0.0797 data_time: 0.0122 memory: 1807 2022/08/10 20:10:37 - mmengine - INFO - Epoch(val) [7][1820/6282] eta: 0:05:29 time: 0.0739 data_time: 0.0042 memory: 1774 2022/08/10 20:10:39 - mmengine - INFO - Epoch(val) [7][1840/6282] eta: 0:06:39 time: 0.0899 data_time: 0.0194 memory: 1704 2022/08/10 20:10:42 - mmengine - INFO - Epoch(val) [7][1860/6282] eta: 0:12:43 time: 0.1726 data_time: 0.0863 memory: 1704 2022/08/10 20:10:45 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:11:25 time: 0.1558 data_time: 0.0757 memory: 1704 2022/08/10 20:10:48 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:11:23 time: 0.1559 data_time: 0.0904 memory: 1704 2022/08/10 20:10:51 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:11:07 time: 0.1531 data_time: 0.0825 memory: 1704 2022/08/10 20:10:55 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:11:21 time: 0.1570 data_time: 0.0869 memory: 1704 2022/08/10 20:10:56 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:05:03 time: 0.0701 data_time: 0.0248 memory: 1677 2022/08/10 20:10:57 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:03:27 time: 0.0483 data_time: 0.0027 memory: 1677 2022/08/10 20:10:58 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:03:35 time: 0.0503 data_time: 0.0030 memory: 1677 2022/08/10 20:10:59 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:03:37 time: 0.0511 data_time: 0.0033 memory: 1677 2022/08/10 20:11:00 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:03:39 time: 0.0518 data_time: 0.0041 memory: 1677 2022/08/10 20:11:01 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:03:55 time: 0.0557 data_time: 0.0034 memory: 1677 2022/08/10 20:11:02 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:04:03 time: 0.0578 data_time: 0.0051 memory: 1677 2022/08/10 20:11:03 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:03:54 time: 0.0560 data_time: 0.0065 memory: 1677 2022/08/10 20:11:05 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:05:14 time: 0.0756 data_time: 0.0040 memory: 1677 2022/08/10 20:11:06 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:03:56 time: 0.0571 data_time: 0.0045 memory: 1697 2022/08/10 20:11:07 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:03:53 time: 0.0567 data_time: 0.0046 memory: 1677 2022/08/10 20:11:08 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:03:57 time: 0.0579 data_time: 0.0047 memory: 1677 2022/08/10 20:11:10 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:04:31 time: 0.0665 data_time: 0.0041 memory: 1677 2022/08/10 20:11:11 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:03:47 time: 0.0560 data_time: 0.0043 memory: 1677 2022/08/10 20:11:12 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:03:54 time: 0.0579 data_time: 0.0041 memory: 1677 2022/08/10 20:11:13 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:03:56 time: 0.0588 data_time: 0.0048 memory: 1677 2022/08/10 20:11:14 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:04:02 time: 0.0605 data_time: 0.0049 memory: 1698 2022/08/10 20:11:16 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:05:26 time: 0.0819 data_time: 0.0043 memory: 1677 2022/08/10 20:11:17 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:04:05 time: 0.0619 data_time: 0.0039 memory: 1677 2022/08/10 20:11:19 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:03:46 time: 0.0573 data_time: 0.0041 memory: 1677 2022/08/10 20:11:20 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:04:08 time: 0.0634 data_time: 0.0070 memory: 1677 2022/08/10 20:11:21 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:04:01 time: 0.0618 data_time: 0.0050 memory: 1677 2022/08/10 20:11:23 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:05:27 time: 0.0843 data_time: 0.0338 memory: 1677 2022/08/10 20:11:24 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:04:25 time: 0.0688 data_time: 0.0203 memory: 1677 2022/08/10 20:11:26 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:04:38 time: 0.0725 data_time: 0.0238 memory: 1677 2022/08/10 20:11:27 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:05:33 time: 0.0873 data_time: 0.0034 memory: 1704 2022/08/10 20:11:29 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:04:43 time: 0.0746 data_time: 0.0057 memory: 1704 2022/08/10 20:11:30 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:04:46 time: 0.0757 data_time: 0.0079 memory: 1704 2022/08/10 20:11:32 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:06:00 time: 0.0959 data_time: 0.0242 memory: 1774 2022/08/10 20:11:34 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:06:52 time: 0.1102 data_time: 0.0407 memory: 1939 2022/08/10 20:11:39 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:14:19 time: 0.2308 data_time: 0.1442 memory: 1704 2022/08/10 20:11:42 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:10:26 time: 0.1693 data_time: 0.1050 memory: 1704 2022/08/10 20:11:45 - mmengine - INFO - Epoch(val) [7][2600/6282] eta: 0:09:06 time: 0.1484 data_time: 0.0793 memory: 1715 2022/08/10 20:11:49 - mmengine - INFO - Epoch(val) [7][2620/6282] eta: 0:10:16 time: 0.1684 data_time: 0.0991 memory: 1704 2022/08/10 20:11:52 - mmengine - INFO - Epoch(val) [7][2640/6282] eta: 0:08:19 time: 0.1372 data_time: 0.0692 memory: 1704 2022/08/10 20:11:53 - mmengine - INFO - Epoch(val) [7][2660/6282] eta: 0:04:55 time: 0.0815 data_time: 0.0054 memory: 1788 2022/08/10 20:11:55 - mmengine - INFO - Epoch(val) [7][2680/6282] eta: 0:05:20 time: 0.0891 data_time: 0.0126 memory: 1788 2022/08/10 20:11:57 - mmengine - INFO - Epoch(val) [7][2700/6282] eta: 0:06:36 time: 0.1107 data_time: 0.0367 memory: 1788 2022/08/10 20:12:00 - mmengine - INFO - Epoch(val) [7][2720/6282] eta: 0:06:48 time: 0.1146 data_time: 0.0123 memory: 1788 2022/08/10 20:12:01 - mmengine - INFO - Epoch(val) [7][2740/6282] eta: 0:05:00 time: 0.0848 data_time: 0.0056 memory: 1797 2022/08/10 20:12:02 - mmengine - INFO - Epoch(val) [7][2760/6282] eta: 0:03:17 time: 0.0560 data_time: 0.0046 memory: 1677 2022/08/10 20:12:04 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:03:32 time: 0.0606 data_time: 0.0055 memory: 1677 2022/08/10 20:12:05 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:03:36 time: 0.0621 data_time: 0.0041 memory: 1631 2022/08/10 20:12:06 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:03:25 time: 0.0594 data_time: 0.0055 memory: 1677 2022/08/10 20:12:07 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:03:31 time: 0.0616 data_time: 0.0044 memory: 1631 2022/08/10 20:12:09 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:04:11 time: 0.0736 data_time: 0.0059 memory: 1704 2022/08/10 20:12:11 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:06:07 time: 0.1080 data_time: 0.0040 memory: 1704 2022/08/10 20:12:12 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:04:06 time: 0.0728 data_time: 0.0050 memory: 1704 2022/08/10 20:12:14 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:03:40 time: 0.0657 data_time: 0.0043 memory: 1704 2022/08/10 20:12:15 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:03:34 time: 0.0641 data_time: 0.0051 memory: 1688 2022/08/10 20:12:16 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:03:29 time: 0.0630 data_time: 0.0048 memory: 1688 2022/08/10 20:12:17 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:03:12 time: 0.0584 data_time: 0.0035 memory: 1688 2022/08/10 20:12:19 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:03:16 time: 0.0599 data_time: 0.0037 memory: 1688 2022/08/10 20:12:20 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:03:53 time: 0.0716 data_time: 0.0075 memory: 1704 2022/08/10 20:12:21 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:03:39 time: 0.0678 data_time: 0.0040 memory: 1715 2022/08/10 20:12:23 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:03:52 time: 0.0720 data_time: 0.0041 memory: 1774 2022/08/10 20:12:24 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:03:30 time: 0.0658 data_time: 0.0038 memory: 1704 2022/08/10 20:12:25 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:03:14 time: 0.0611 data_time: 0.0040 memory: 1704 2022/08/10 20:12:26 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:02:46 time: 0.0526 data_time: 0.0033 memory: 1677 2022/08/10 20:12:28 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:02:55 time: 0.0558 data_time: 0.0047 memory: 1677 2022/08/10 20:12:29 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:03:02 time: 0.0585 data_time: 0.0055 memory: 1677 2022/08/10 20:12:30 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:04:20 time: 0.0841 data_time: 0.0043 memory: 1677 2022/08/10 20:12:32 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:03:35 time: 0.0701 data_time: 0.0075 memory: 1704 2022/08/10 20:12:33 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:03:49 time: 0.0750 data_time: 0.0068 memory: 1704 2022/08/10 20:12:35 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:03:44 time: 0.0739 data_time: 0.0074 memory: 1704 2022/08/10 20:12:38 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:07:25 time: 0.1476 data_time: 0.0862 memory: 1704 2022/08/10 20:12:40 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:04:28 time: 0.0894 data_time: 0.0146 memory: 1704 2022/08/10 20:12:41 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:03:48 time: 0.0766 data_time: 0.0059 memory: 1695 2022/08/10 20:12:43 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:03:26 time: 0.0697 data_time: 0.0038 memory: 1704 2022/08/10 20:12:44 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:03:31 time: 0.0720 data_time: 0.0042 memory: 1715 2022/08/10 20:12:45 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:03:19 time: 0.0682 data_time: 0.0038 memory: 1704 2022/08/10 20:12:47 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:03:08 time: 0.0650 data_time: 0.0042 memory: 1704 2022/08/10 20:12:48 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:03:49 time: 0.0796 data_time: 0.0043 memory: 1722 2022/08/10 20:12:49 - mmengine - INFO - Epoch(val) [7][3420/6282] eta: 0:02:34 time: 0.0540 data_time: 0.0041 memory: 1677 2022/08/10 20:12:50 - mmengine - INFO - Epoch(val) [7][3440/6282] eta: 0:02:35 time: 0.0549 data_time: 0.0037 memory: 1677 2022/08/10 20:12:52 - mmengine - INFO - Epoch(val) [7][3460/6282] eta: 0:02:49 time: 0.0602 data_time: 0.0034 memory: 1677 2022/08/10 20:12:53 - mmengine - INFO - Epoch(val) [7][3480/6282] eta: 0:02:42 time: 0.0579 data_time: 0.0033 memory: 1722 2022/08/10 20:12:54 - mmengine - INFO - Epoch(val) [7][3500/6282] eta: 0:02:28 time: 0.0533 data_time: 0.0037 memory: 1677 2022/08/10 20:12:55 - mmengine - INFO - Epoch(val) [7][3520/6282] eta: 0:02:25 time: 0.0527 data_time: 0.0051 memory: 1677 2022/08/10 20:12:56 - mmengine - INFO - Epoch(val) [7][3540/6282] eta: 0:02:30 time: 0.0548 data_time: 0.0036 memory: 1677 2022/08/10 20:12:57 - mmengine - INFO - Epoch(val) [7][3560/6282] eta: 0:02:32 time: 0.0559 data_time: 0.0048 memory: 1677 2022/08/10 20:12:58 - mmengine - INFO - Epoch(val) [7][3580/6282] eta: 0:02:33 time: 0.0570 data_time: 0.0036 memory: 1696 2022/08/10 20:13:00 - mmengine - INFO - Epoch(val) [7][3600/6282] eta: 0:04:36 time: 0.1029 data_time: 0.0045 memory: 1696 2022/08/10 20:13:02 - mmengine - INFO - Epoch(val) [7][3620/6282] eta: 0:03:15 time: 0.0735 data_time: 0.0046 memory: 1845 2022/08/10 20:13:03 - mmengine - INFO - Epoch(val) [7][3640/6282] eta: 0:02:52 time: 0.0652 data_time: 0.0041 memory: 1696 2022/08/10 20:13:04 - mmengine - INFO - Epoch(val) [7][3660/6282] eta: 0:02:42 time: 0.0621 data_time: 0.0044 memory: 1696 2022/08/10 20:13:06 - mmengine - INFO - Epoch(val) [7][3680/6282] eta: 0:02:52 time: 0.0664 data_time: 0.0053 memory: 1704 2022/08/10 20:13:07 - mmengine - INFO - Epoch(val) [7][3700/6282] eta: 0:03:07 time: 0.0727 data_time: 0.0056 memory: 1704 2022/08/10 20:13:09 - mmengine - INFO - Epoch(val) [7][3720/6282] eta: 0:03:05 time: 0.0723 data_time: 0.0052 memory: 1704 2022/08/10 20:13:12 - mmengine - INFO - Epoch(val) [7][3740/6282] eta: 0:06:31 time: 0.1541 data_time: 0.0653 memory: 1704 2022/08/10 20:13:14 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:04:03 time: 0.0967 data_time: 0.0364 memory: 1704 2022/08/10 20:13:15 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:03:43 time: 0.0895 data_time: 0.0295 memory: 1704 2022/08/10 20:13:18 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:05:30 time: 0.1330 data_time: 0.0650 memory: 1704 2022/08/10 20:13:20 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:04:17 time: 0.1044 data_time: 0.0246 memory: 1704 2022/08/10 20:13:22 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:02:52 time: 0.0705 data_time: 0.0043 memory: 1704 2022/08/10 20:13:23 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:03:21 time: 0.0830 data_time: 0.0147 memory: 1704 2022/08/10 20:13:25 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:03:25 time: 0.0854 data_time: 0.0204 memory: 1704 2022/08/10 20:13:27 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:03:10 time: 0.0799 data_time: 0.0162 memory: 1704 2022/08/10 20:13:28 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:03:18 time: 0.0841 data_time: 0.0220 memory: 1704 2022/08/10 20:13:30 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:03:36 time: 0.0925 data_time: 0.0268 memory: 1704 2022/08/10 20:13:32 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:02:51 time: 0.0737 data_time: 0.0049 memory: 1715 2022/08/10 20:13:33 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:02:53 time: 0.0752 data_time: 0.0040 memory: 1715 2022/08/10 20:13:35 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:02:44 time: 0.0720 data_time: 0.0039 memory: 1715 2022/08/10 20:13:36 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:02:38 time: 0.0699 data_time: 0.0041 memory: 1704 2022/08/10 20:13:37 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:02:44 time: 0.0732 data_time: 0.0040 memory: 1788 2022/08/10 20:13:39 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:02:56 time: 0.0795 data_time: 0.0043 memory: 1788 2022/08/10 20:13:41 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:04:13 time: 0.1152 data_time: 0.0063 memory: 1788 2022/08/10 20:13:43 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:02:46 time: 0.0763 data_time: 0.0057 memory: 1788 2022/08/10 20:13:46 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:04:40 time: 0.1299 data_time: 0.0573 memory: 1788 2022/08/10 20:13:47 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:02:36 time: 0.0729 data_time: 0.0104 memory: 1788 2022/08/10 20:13:48 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:02:29 time: 0.0702 data_time: 0.0210 memory: 1677 2022/08/10 20:13:49 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:01:49 time: 0.0520 data_time: 0.0029 memory: 1677 2022/08/10 20:13:51 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:01:50 time: 0.0533 data_time: 0.0043 memory: 1677 2022/08/10 20:13:52 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:01:53 time: 0.0550 data_time: 0.0038 memory: 1677 2022/08/10 20:13:53 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:01:50 time: 0.0542 data_time: 0.0036 memory: 1677 2022/08/10 20:13:54 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:01:56 time: 0.0575 data_time: 0.0043 memory: 1677 2022/08/10 20:13:55 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:01:52 time: 0.0564 data_time: 0.0040 memory: 1677 2022/08/10 20:13:56 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:01:53 time: 0.0570 data_time: 0.0051 memory: 1677 2022/08/10 20:13:57 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:01:45 time: 0.0538 data_time: 0.0037 memory: 1677 2022/08/10 20:13:58 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:01:53 time: 0.0583 data_time: 0.0043 memory: 1677 2022/08/10 20:14:01 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:03:25 time: 0.1068 data_time: 0.0041 memory: 1704 2022/08/10 20:14:02 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:01:57 time: 0.0618 data_time: 0.0041 memory: 1704 2022/08/10 20:14:03 - mmengine - INFO - Epoch(val) [7][4400/6282] eta: 0:01:57 time: 0.0623 data_time: 0.0039 memory: 1704 2022/08/10 20:14:04 - mmengine - INFO - Epoch(val) [7][4420/6282] eta: 0:02:02 time: 0.0657 data_time: 0.0049 memory: 1704 2022/08/10 20:14:06 - mmengine - INFO - Epoch(val) [7][4440/6282] eta: 0:02:07 time: 0.0693 data_time: 0.0043 memory: 1707 2022/08/10 20:14:07 - mmengine - INFO - Epoch(val) [7][4460/6282] eta: 0:02:04 time: 0.0683 data_time: 0.0042 memory: 1707 2022/08/10 20:14:08 - mmengine - INFO - Epoch(val) [7][4480/6282] eta: 0:01:59 time: 0.0666 data_time: 0.0047 memory: 1707 2022/08/10 20:14:10 - mmengine - INFO - Epoch(val) [7][4500/6282] eta: 0:02:13 time: 0.0749 data_time: 0.0098 memory: 1707 2022/08/10 20:14:11 - mmengine - INFO - Epoch(val) [7][4520/6282] eta: 0:01:50 time: 0.0628 data_time: 0.0035 memory: 1724 2022/08/10 20:14:14 - mmengine - INFO - Epoch(val) [7][4540/6282] eta: 0:03:40 time: 0.1263 data_time: 0.0620 memory: 1724 2022/08/10 20:14:15 - mmengine - INFO - Epoch(val) [7][4560/6282] eta: 0:01:35 time: 0.0555 data_time: 0.0040 memory: 1679 2022/08/10 20:14:16 - mmengine - INFO - Epoch(val) [7][4580/6282] eta: 0:01:30 time: 0.0530 data_time: 0.0029 memory: 1679 2022/08/10 20:14:17 - mmengine - INFO - Epoch(val) [7][4600/6282] eta: 0:01:32 time: 0.0551 data_time: 0.0040 memory: 1679 2022/08/10 20:14:18 - mmengine - INFO - Epoch(val) [7][4620/6282] eta: 0:01:31 time: 0.0552 data_time: 0.0036 memory: 1679 2022/08/10 20:14:19 - mmengine - INFO - Epoch(val) [7][4640/6282] eta: 0:01:52 time: 0.0683 data_time: 0.0040 memory: 1707 2022/08/10 20:14:21 - mmengine - INFO - Epoch(val) [7][4660/6282] eta: 0:02:00 time: 0.0743 data_time: 0.0047 memory: 1707 2022/08/10 20:14:22 - mmengine - INFO - Epoch(val) [7][4680/6282] eta: 0:01:55 time: 0.0720 data_time: 0.0051 memory: 1707 2022/08/10 20:14:24 - mmengine - INFO - Epoch(val) [7][4700/6282] eta: 0:02:20 time: 0.0890 data_time: 0.0041 memory: 1707 2022/08/10 20:14:26 - mmengine - INFO - Epoch(val) [7][4720/6282] eta: 0:01:47 time: 0.0686 data_time: 0.0045 memory: 1707 2022/08/10 20:14:27 - mmengine - INFO - Epoch(val) [7][4740/6282] eta: 0:01:28 time: 0.0577 data_time: 0.0039 memory: 1688 2022/08/10 20:14:28 - mmengine - INFO - Epoch(val) [7][4760/6282] eta: 0:01:31 time: 0.0603 data_time: 0.0038 memory: 1729 2022/08/10 20:14:29 - mmengine - INFO - Epoch(val) [7][4780/6282] eta: 0:01:22 time: 0.0551 data_time: 0.0036 memory: 1688 2022/08/10 20:14:30 - mmengine - INFO - Epoch(val) [7][4800/6282] eta: 0:01:34 time: 0.0635 data_time: 0.0040 memory: 1688 2022/08/10 20:14:32 - mmengine - INFO - Epoch(val) [7][4820/6282] eta: 0:01:27 time: 0.0599 data_time: 0.0037 memory: 1704 2022/08/10 20:14:33 - mmengine - INFO - Epoch(val) [7][4840/6282] eta: 0:01:37 time: 0.0679 data_time: 0.0037 memory: 1704 2022/08/10 20:14:35 - mmengine - INFO - Epoch(val) [7][4860/6282] eta: 0:02:04 time: 0.0878 data_time: 0.0043 memory: 1704 2022/08/10 20:14:36 - mmengine - INFO - Epoch(val) [7][4880/6282] eta: 0:01:28 time: 0.0629 data_time: 0.0044 memory: 1704 2022/08/10 20:14:37 - mmengine - INFO - Epoch(val) [7][4900/6282] eta: 0:01:33 time: 0.0677 data_time: 0.0042 memory: 1704 2022/08/10 20:14:39 - mmengine - INFO - Epoch(val) [7][4920/6282] eta: 0:01:30 time: 0.0667 data_time: 0.0047 memory: 1704 2022/08/10 20:14:40 - mmengine - INFO - Epoch(val) [7][4940/6282] eta: 0:01:38 time: 0.0736 data_time: 0.0057 memory: 1704 2022/08/10 20:14:42 - mmengine - INFO - Epoch(val) [7][4960/6282] eta: 0:01:35 time: 0.0725 data_time: 0.0041 memory: 1704 2022/08/10 20:14:43 - mmengine - INFO - Epoch(val) [7][4980/6282] eta: 0:01:35 time: 0.0732 data_time: 0.0044 memory: 1704 2022/08/10 20:14:44 - mmengine - INFO - Epoch(val) [7][5000/6282] eta: 0:01:28 time: 0.0690 data_time: 0.0046 memory: 1704 2022/08/10 20:14:46 - mmengine - INFO - Epoch(val) [7][5020/6282] eta: 0:01:48 time: 0.0864 data_time: 0.0051 memory: 1704 2022/08/10 20:14:47 - mmengine - INFO - Epoch(val) [7][5040/6282] eta: 0:01:07 time: 0.0543 data_time: 0.0036 memory: 1677 2022/08/10 20:14:48 - mmengine - INFO - Epoch(val) [7][5060/6282] eta: 0:01:14 time: 0.0611 data_time: 0.0038 memory: 1677 2022/08/10 20:14:50 - mmengine - INFO - Epoch(val) [7][5080/6282] eta: 0:01:21 time: 0.0680 data_time: 0.0046 memory: 1723 2022/08/10 20:14:51 - mmengine - INFO - Epoch(val) [7][5100/6282] eta: 0:01:06 time: 0.0566 data_time: 0.0041 memory: 1677 2022/08/10 20:14:52 - mmengine - INFO - Epoch(val) [7][5120/6282] eta: 0:01:09 time: 0.0602 data_time: 0.0046 memory: 1677 2022/08/10 20:14:53 - mmengine - INFO - Epoch(val) [7][5140/6282] eta: 0:01:04 time: 0.0567 data_time: 0.0049 memory: 1677 2022/08/10 20:14:55 - mmengine - INFO - Epoch(val) [7][5160/6282] eta: 0:01:07 time: 0.0598 data_time: 0.0037 memory: 1677 2022/08/10 20:14:56 - mmengine - INFO - Epoch(val) [7][5180/6282] eta: 0:01:07 time: 0.0611 data_time: 0.0053 memory: 1677 2022/08/10 20:14:57 - mmengine - INFO - Epoch(val) [7][5200/6282] eta: 0:01:02 time: 0.0579 data_time: 0.0045 memory: 1677 2022/08/10 20:14:58 - mmengine - INFO - Epoch(val) [7][5220/6282] eta: 0:01:03 time: 0.0601 data_time: 0.0046 memory: 1677 2022/08/10 20:14:59 - mmengine - INFO - Epoch(val) [7][5240/6282] eta: 0:01:04 time: 0.0616 data_time: 0.0036 memory: 1773 2022/08/10 20:15:01 - mmengine - INFO - Epoch(val) [7][5260/6282] eta: 0:01:32 time: 0.0907 data_time: 0.0035 memory: 1677 2022/08/10 20:15:02 - mmengine - INFO - Epoch(val) [7][5280/6282] eta: 0:00:59 time: 0.0589 data_time: 0.0035 memory: 1697 2022/08/10 20:15:04 - mmengine - INFO - Epoch(val) [7][5300/6282] eta: 0:00:57 time: 0.0583 data_time: 0.0038 memory: 1677 2022/08/10 20:15:06 - mmengine - INFO - Epoch(val) [7][5320/6282] eta: 0:01:54 time: 0.1193 data_time: 0.0716 memory: 1677 2022/08/10 20:15:08 - mmengine - INFO - Epoch(val) [7][5340/6282] eta: 0:01:48 time: 0.1149 data_time: 0.0616 memory: 1677 2022/08/10 20:15:09 - mmengine - INFO - Epoch(val) [7][5360/6282] eta: 0:00:48 time: 0.0522 data_time: 0.0034 memory: 1677 2022/08/10 20:15:11 - mmengine - INFO - Epoch(val) [7][5380/6282] eta: 0:00:58 time: 0.0649 data_time: 0.0058 memory: 1747 2022/08/10 20:15:12 - mmengine - INFO - Epoch(val) [7][5400/6282] eta: 0:00:52 time: 0.0592 data_time: 0.0048 memory: 1677 2022/08/10 20:15:13 - mmengine - INFO - Epoch(val) [7][5420/6282] eta: 0:00:49 time: 0.0580 data_time: 0.0045 memory: 1677 2022/08/10 20:15:14 - mmengine - INFO - Epoch(val) [7][5440/6282] eta: 0:00:46 time: 0.0552 data_time: 0.0040 memory: 1677 2022/08/10 20:15:15 - mmengine - INFO - Epoch(val) [7][5460/6282] eta: 0:00:45 time: 0.0552 data_time: 0.0047 memory: 1677 2022/08/10 20:15:16 - mmengine - INFO - Epoch(val) [7][5480/6282] eta: 0:00:45 time: 0.0571 data_time: 0.0043 memory: 1677 2022/08/10 20:15:18 - mmengine - INFO - Epoch(val) [7][5500/6282] eta: 0:01:03 time: 0.0810 data_time: 0.0044 memory: 1677 2022/08/10 20:15:19 - mmengine - INFO - Epoch(val) [7][5520/6282] eta: 0:00:47 time: 0.0626 data_time: 0.0049 memory: 1686 2022/08/10 20:15:21 - mmengine - INFO - Epoch(val) [7][5540/6282] eta: 0:00:54 time: 0.0739 data_time: 0.0036 memory: 1686 2022/08/10 20:15:22 - mmengine - INFO - Epoch(val) [7][5560/6282] eta: 0:00:41 time: 0.0569 data_time: 0.0037 memory: 1686 2022/08/10 20:15:25 - mmengine - INFO - Epoch(val) [7][5580/6282] eta: 0:01:36 time: 0.1374 data_time: 0.0906 memory: 1686 2022/08/10 20:15:26 - mmengine - INFO - Epoch(val) [7][5600/6282] eta: 0:00:53 time: 0.0781 data_time: 0.0267 memory: 1686 2022/08/10 20:15:28 - mmengine - INFO - Epoch(val) [7][5620/6282] eta: 0:01:03 time: 0.0966 data_time: 0.0436 memory: 1686 2022/08/10 20:15:30 - mmengine - INFO - Epoch(val) [7][5640/6282] eta: 0:00:49 time: 0.0770 data_time: 0.0237 memory: 1677 2022/08/10 20:15:31 - mmengine - INFO - Epoch(val) [7][5660/6282] eta: 0:00:47 time: 0.0770 data_time: 0.0039 memory: 1677 2022/08/10 20:15:32 - mmengine - INFO - Epoch(val) [7][5680/6282] eta: 0:00:34 time: 0.0574 data_time: 0.0047 memory: 1677 2022/08/10 20:15:33 - mmengine - INFO - Epoch(val) [7][5700/6282] eta: 0:00:31 time: 0.0544 data_time: 0.0045 memory: 1677 2022/08/10 20:15:35 - mmengine - INFO - Epoch(val) [7][5720/6282] eta: 0:00:35 time: 0.0625 data_time: 0.0046 memory: 1692 2022/08/10 20:15:36 - mmengine - INFO - Epoch(val) [7][5740/6282] eta: 0:00:32 time: 0.0604 data_time: 0.0047 memory: 1692 2022/08/10 20:15:37 - mmengine - INFO - Epoch(val) [7][5760/6282] eta: 0:00:34 time: 0.0658 data_time: 0.0052 memory: 1692 2022/08/10 20:15:39 - mmengine - INFO - Epoch(val) [7][5780/6282] eta: 0:00:35 time: 0.0703 data_time: 0.0049 memory: 1740 2022/08/10 20:15:40 - mmengine - INFO - Epoch(val) [7][5800/6282] eta: 0:00:30 time: 0.0641 data_time: 0.0040 memory: 1692 2022/08/10 20:15:42 - mmengine - INFO - Epoch(val) [7][5820/6282] eta: 0:00:56 time: 0.1217 data_time: 0.0563 memory: 1692 2022/08/10 20:15:44 - mmengine - INFO - Epoch(val) [7][5840/6282] eta: 0:00:34 time: 0.0779 data_time: 0.0279 memory: 1686 2022/08/10 20:15:45 - mmengine - INFO - Epoch(val) [7][5860/6282] eta: 0:00:30 time: 0.0721 data_time: 0.0211 memory: 1686 2022/08/10 20:15:47 - mmengine - INFO - Epoch(val) [7][5880/6282] eta: 0:00:23 time: 0.0572 data_time: 0.0031 memory: 1686 2022/08/10 20:15:48 - mmengine - INFO - Epoch(val) [7][5900/6282] eta: 0:00:22 time: 0.0598 data_time: 0.0049 memory: 1686 2022/08/10 20:15:49 - mmengine - INFO - Epoch(val) [7][5920/6282] eta: 0:00:20 time: 0.0554 data_time: 0.0041 memory: 1686 2022/08/10 20:15:50 - mmengine - INFO - Epoch(val) [7][5940/6282] eta: 0:00:20 time: 0.0592 data_time: 0.0054 memory: 1677 2022/08/10 20:15:51 - mmengine - INFO - Epoch(val) [7][5960/6282] eta: 0:00:18 time: 0.0582 data_time: 0.0042 memory: 1677 2022/08/10 20:15:53 - mmengine - INFO - Epoch(val) [7][5980/6282] eta: 0:00:20 time: 0.0664 data_time: 0.0055 memory: 1677 2022/08/10 20:15:54 - mmengine - INFO - Epoch(val) [7][6000/6282] eta: 0:00:19 time: 0.0690 data_time: 0.0047 memory: 1704 2022/08/10 20:15:55 - mmengine - INFO - Epoch(val) [7][6020/6282] eta: 0:00:18 time: 0.0699 data_time: 0.0055 memory: 1704 2022/08/10 20:15:57 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:16 time: 0.0702 data_time: 0.0044 memory: 1704 2022/08/10 20:15:58 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:15 time: 0.0705 data_time: 0.0052 memory: 1715 2022/08/10 20:16:00 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:14 time: 0.0738 data_time: 0.0062 memory: 1715 2022/08/10 20:16:02 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:19 time: 0.1068 data_time: 0.0060 memory: 1873 2022/08/10 20:16:03 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:12 time: 0.0757 data_time: 0.0067 memory: 1704 2022/08/10 20:16:05 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:12 time: 0.0851 data_time: 0.0065 memory: 1840 2022/08/10 20:16:07 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:09 time: 0.0782 data_time: 0.0060 memory: 1840 2022/08/10 20:16:08 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:07 time: 0.0714 data_time: 0.0044 memory: 1704 2022/08/10 20:16:09 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:05 time: 0.0652 data_time: 0.0037 memory: 1704 2022/08/10 20:16:11 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:04 time: 0.0651 data_time: 0.0042 memory: 1704 2022/08/10 20:16:12 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:02 time: 0.0625 data_time: 0.0038 memory: 1704 2022/08/10 20:16:13 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:01 time: 0.0601 data_time: 0.0036 memory: 1704 2022/08/10 20:16:14 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0680 data_time: 0.0031 memory: 1704 2022/08/10 20:21:04 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.2746 2022/08/10 20:21:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_7.pth is removed 2022/08/10 20:21:10 - mmengine - INFO - The best checkpoint with 0.2746 mAP/mAP@0.5IOU at 8 epoch is saved to best_mAP/mAP@0.5IOU_epoch_8.pth. 2022/08/10 20:21:26 - mmengine - INFO - Epoch(train) [8][20/2881] lr: 3.0746e-02 eta: 1:43:37 time: 0.7758 data_time: 0.1116 memory: 15184 grad_norm: 0.1916 recall@thr=0.5: 0.7770 prec@thr=0.5: 0.9167 recall@top3: 0.8063 prec@top3: 0.7619 recall@top5: 0.9111 prec@top5: 0.5429 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 20:21:39 - mmengine - INFO - Epoch(train) [8][40/2881] lr: 3.0621e-02 eta: 1:43:22 time: 0.6634 data_time: 0.0276 memory: 15338 grad_norm: 0.1954 recall@thr=0.5: 0.6994 prec@thr=0.5: 0.7568 recall@top3: 0.7519 prec@top3: 0.6543 recall@top5: 0.9364 prec@top5: 0.5111 loss_action_cls: 0.0294 loss: 0.0294 2022/08/10 20:21:53 - mmengine - INFO - Epoch(train) [8][60/2881] lr: 3.0495e-02 eta: 1:43:07 time: 0.6800 data_time: 0.0228 memory: 15261 grad_norm: 0.2003 recall@thr=0.5: 0.7428 prec@thr=0.5: 0.8080 recall@top3: 0.7428 prec@top3: 0.7101 recall@top5: 0.9022 prec@top5: 0.5478 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 20:22:06 - mmengine - INFO - Epoch(train) [8][80/2881] lr: 3.0370e-02 eta: 1:42:52 time: 0.6713 data_time: 0.0229 memory: 15280 grad_norm: 0.2063 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8299 recall@top3: 0.9583 prec@top3: 0.6389 recall@top5: 0.9792 prec@top5: 0.3917 loss_action_cls: 0.0295 loss: 0.0295 2022/08/10 20:22:20 - mmengine - INFO - Epoch(train) [8][100/2881] lr: 3.0244e-02 eta: 1:42:38 time: 0.6725 data_time: 0.0224 memory: 15261 grad_norm: 0.2018 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.9318 recall@top3: 0.7841 prec@top3: 0.6515 recall@top5: 0.9432 prec@top5: 0.4636 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 20:22:34 - mmengine - INFO - Epoch(train) [8][120/2881] lr: 3.0119e-02 eta: 1:42:23 time: 0.7184 data_time: 0.0220 memory: 15357 grad_norm: 0.1938 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8788 recall@top3: 0.9545 prec@top3: 0.6212 recall@top5: 0.9697 prec@top5: 0.3818 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 20:22:48 - mmengine - INFO - Epoch(train) [8][140/2881] lr: 2.9994e-02 eta: 1:42:09 time: 0.7167 data_time: 0.0295 memory: 15376 grad_norm: 0.1990 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8380 recall@top3: 0.8241 prec@top3: 0.5926 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 20:23:03 - mmengine - INFO - Epoch(train) [8][160/2881] lr: 2.9869e-02 eta: 1:41:54 time: 0.7100 data_time: 0.0223 memory: 15433 grad_norm: 0.2089 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.7444 recall@top3: 0.8722 prec@top3: 0.6889 recall@top5: 0.9778 prec@top5: 0.4800 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 20:23:16 - mmengine - INFO - Epoch(train) [8][180/2881] lr: 2.9745e-02 eta: 1:41:39 time: 0.6640 data_time: 0.0257 memory: 15357 grad_norm: 0.1926 recall@thr=0.5: 0.6627 prec@thr=0.5: 0.7659 recall@top3: 0.8452 prec@top3: 0.7143 recall@top5: 0.9881 prec@top5: 0.5143 loss_action_cls: 0.0290 loss: 0.0290 2022/08/10 20:23:30 - mmengine - INFO - Epoch(train) [8][200/2881] lr: 2.9620e-02 eta: 1:41:25 time: 0.6950 data_time: 0.0249 memory: 15376 grad_norm: 0.1862 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.7417 recall@top3: 0.7250 prec@top3: 0.6167 recall@top5: 0.9333 prec@top5: 0.4900 loss_action_cls: 0.0335 loss: 0.0335 2022/08/10 20:23:44 - mmengine - INFO - Epoch(train) [8][220/2881] lr: 2.9496e-02 eta: 1:41:10 time: 0.6992 data_time: 0.0206 memory: 15300 grad_norm: 0.1930 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6181 recall@top3: 0.8264 prec@top3: 0.6806 recall@top5: 0.9583 prec@top5: 0.4833 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 20:23:57 - mmengine - INFO - Epoch(train) [8][240/2881] lr: 2.9371e-02 eta: 1:40:55 time: 0.6710 data_time: 0.0245 memory: 15414 grad_norm: 0.1973 recall@thr=0.5: 0.8144 prec@thr=0.5: 0.8636 recall@top3: 0.8333 prec@top3: 0.7727 recall@top5: 0.9697 prec@top5: 0.5545 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 20:24:12 - mmengine - INFO - Epoch(train) [8][260/2881] lr: 2.9247e-02 eta: 1:40:41 time: 0.7102 data_time: 0.0214 memory: 15395 grad_norm: 0.2001 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.8385 recall@top3: 0.8469 prec@top3: 0.7708 recall@top5: 0.9094 prec@top5: 0.5250 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 20:24:25 - mmengine - INFO - Epoch(train) [8][280/2881] lr: 2.9123e-02 eta: 1:40:26 time: 0.6905 data_time: 0.0284 memory: 15452 grad_norm: 0.1951 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7037 recall@top3: 0.8117 prec@top3: 0.6790 recall@top5: 0.8951 prec@top5: 0.4667 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:24:39 - mmengine - INFO - Epoch(train) [8][300/2881] lr: 2.9000e-02 eta: 1:40:11 time: 0.6928 data_time: 0.0229 memory: 15472 grad_norm: 0.2002 recall@thr=0.5: 0.9201 prec@thr=0.5: 0.9896 recall@top3: 0.9062 prec@top3: 0.9167 recall@top5: 1.0000 prec@top5: 0.6250 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 20:24:54 - mmengine - INFO - Epoch(train) [8][320/2881] lr: 2.8876e-02 eta: 1:39:57 time: 0.7235 data_time: 0.0314 memory: 15682 grad_norm: 0.1876 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.7429 recall@top3: 0.7619 prec@top3: 0.7778 recall@top5: 0.9524 prec@top5: 0.5905 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 20:25:07 - mmengine - INFO - Epoch(train) [8][340/2881] lr: 2.8752e-02 eta: 1:39:42 time: 0.6911 data_time: 0.0249 memory: 15204 grad_norm: 0.2001 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8750 recall@top3: 0.8542 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0270 loss: 0.0270 2022/08/10 20:25:22 - mmengine - INFO - Epoch(train) [8][360/2881] lr: 2.8629e-02 eta: 1:39:28 time: 0.7288 data_time: 0.0202 memory: 15338 grad_norm: 0.2010 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.8750 recall@top3: 0.8625 prec@top3: 0.7833 recall@top5: 0.9375 prec@top5: 0.5100 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 20:25:35 - mmengine - INFO - Epoch(train) [8][380/2881] lr: 2.8506e-02 eta: 1:39:13 time: 0.6620 data_time: 0.0242 memory: 15261 grad_norm: 0.2080 recall@thr=0.5: 0.8864 prec@thr=0.5: 0.8788 recall@top3: 0.8750 prec@top3: 0.7273 recall@top5: 0.9015 prec@top5: 0.4545 loss_action_cls: 0.0302 loss: 0.0302 2022/08/10 20:25:49 - mmengine - INFO - Epoch(train) [8][400/2881] lr: 2.8383e-02 eta: 1:38:58 time: 0.6805 data_time: 0.0217 memory: 15338 grad_norm: 0.1975 recall@thr=0.5: 0.7011 prec@thr=0.5: 0.7759 recall@top3: 0.8391 prec@top3: 0.6552 recall@top5: 0.9655 prec@top5: 0.4690 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 20:26:02 - mmengine - INFO - Epoch(train) [8][420/2881] lr: 2.8260e-02 eta: 1:38:44 time: 0.6704 data_time: 0.0232 memory: 15223 grad_norm: 0.2051 recall@thr=0.5: 0.7686 prec@thr=0.5: 0.8529 recall@top3: 0.7431 prec@top3: 0.7451 recall@top5: 0.9588 prec@top5: 0.5882 loss_action_cls: 0.0346 loss: 0.0346 2022/08/10 20:26:16 - mmengine - INFO - Epoch(train) [8][440/2881] lr: 2.8138e-02 eta: 1:38:29 time: 0.6851 data_time: 0.0228 memory: 15261 grad_norm: 0.1935 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9000 recall@top3: 1.0000 prec@top3: 0.8167 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 20:26:30 - mmengine - INFO - Epoch(train) [8][460/2881] lr: 2.8015e-02 eta: 1:38:14 time: 0.6926 data_time: 0.0209 memory: 15204 grad_norm: 0.1958 recall@thr=0.5: 0.5736 prec@thr=0.5: 0.7292 recall@top3: 0.7507 prec@top3: 0.6944 recall@top5: 0.9375 prec@top5: 0.5333 loss_action_cls: 0.0347 loss: 0.0347 2022/08/10 20:26:44 - mmengine - INFO - Epoch(train) [8][480/2881] lr: 2.7893e-02 eta: 1:38:00 time: 0.7017 data_time: 0.0213 memory: 15357 grad_norm: 0.1946 recall@thr=0.5: 0.9115 prec@thr=0.5: 0.8927 recall@top3: 0.9068 prec@top3: 0.7708 recall@top5: 0.9896 prec@top5: 0.5187 loss_action_cls: 0.0248 loss: 0.0248 2022/08/10 20:26:58 - mmengine - INFO - Epoch(train) [8][500/2881] lr: 2.7771e-02 eta: 1:37:45 time: 0.6939 data_time: 0.0241 memory: 15280 grad_norm: 0.2025 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.7803 recall@top3: 0.7424 prec@top3: 0.6667 recall@top5: 0.8939 prec@top5: 0.4727 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 20:27:13 - mmengine - INFO - Epoch(train) [8][520/2881] lr: 2.7649e-02 eta: 1:37:31 time: 0.7396 data_time: 0.0252 memory: 15376 grad_norm: 0.2034 recall@thr=0.5: 0.8514 prec@thr=0.5: 0.9783 recall@top3: 0.9167 prec@top3: 0.7971 recall@top5: 1.0000 prec@top5: 0.5304 loss_action_cls: 0.0302 loss: 0.0302 2022/08/10 20:27:27 - mmengine - INFO - Epoch(train) [8][540/2881] lr: 2.7527e-02 eta: 1:37:16 time: 0.7048 data_time: 0.0254 memory: 15357 grad_norm: 0.2008 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8333 recall@top3: 0.8542 prec@top3: 0.6528 recall@top5: 0.9722 prec@top5: 0.4500 loss_action_cls: 0.0294 loss: 0.0294 2022/08/10 20:27:40 - mmengine - INFO - Epoch(train) [8][560/2881] lr: 2.7405e-02 eta: 1:37:02 time: 0.6737 data_time: 0.0222 memory: 15491 grad_norm: 0.2031 recall@thr=0.5: 0.9236 prec@thr=0.5: 0.9167 recall@top3: 0.8785 prec@top3: 0.8750 recall@top5: 1.0000 prec@top5: 0.6083 loss_action_cls: 0.0265 loss: 0.0265 2022/08/10 20:27:55 - mmengine - INFO - Epoch(train) [8][580/2881] lr: 2.7283e-02 eta: 1:36:47 time: 0.7272 data_time: 0.0281 memory: 15357 grad_norm: 0.1940 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.8986 recall@top3: 0.9130 prec@top3: 0.7246 recall@top5: 0.9783 prec@top5: 0.4696 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 20:28:08 - mmengine - INFO - Epoch(train) [8][600/2881] lr: 2.7162e-02 eta: 1:36:33 time: 0.6875 data_time: 0.0232 memory: 15395 grad_norm: 0.1868 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8333 recall@top3: 0.8025 prec@top3: 0.7037 recall@top5: 0.9259 prec@top5: 0.5037 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 20:28:22 - mmengine - INFO - Epoch(train) [8][620/2881] lr: 2.7041e-02 eta: 1:36:18 time: 0.6979 data_time: 0.0220 memory: 15395 grad_norm: 0.2053 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.9365 recall@top3: 0.9008 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5524 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 20:28:36 - mmengine - INFO - Epoch(train) [8][640/2881] lr: 2.6920e-02 eta: 1:36:03 time: 0.6728 data_time: 0.0233 memory: 15414 grad_norm: 0.2034 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.9542 recall@top3: 0.9292 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 20:28:50 - mmengine - INFO - Epoch(train) [8][660/2881] lr: 2.6799e-02 eta: 1:35:49 time: 0.7113 data_time: 0.0232 memory: 15223 grad_norm: 0.1910 recall@thr=0.5: 0.7382 prec@thr=0.5: 0.9167 recall@top3: 0.8597 prec@top3: 0.8194 recall@top5: 0.9625 prec@top5: 0.5750 loss_action_cls: 0.0261 loss: 0.0261 2022/08/10 20:29:05 - mmengine - INFO - Epoch(train) [8][680/2881] lr: 2.6678e-02 eta: 1:35:35 time: 0.7524 data_time: 0.0229 memory: 15797 grad_norm: 0.2025 recall@thr=0.5: 0.8304 prec@thr=0.5: 0.8839 recall@top3: 0.8869 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.4429 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 20:29:19 - mmengine - INFO - Epoch(train) [8][700/2881] lr: 2.6558e-02 eta: 1:35:20 time: 0.7131 data_time: 0.0277 memory: 15414 grad_norm: 0.1884 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7743 recall@top3: 0.8438 prec@top3: 0.7222 recall@top5: 0.9792 prec@top5: 0.5250 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 20:29:33 - mmengine - INFO - Epoch(train) [8][720/2881] lr: 2.6438e-02 eta: 1:35:06 time: 0.6979 data_time: 0.0220 memory: 15548 grad_norm: 0.1971 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7454 recall@top3: 0.7778 prec@top3: 0.6296 recall@top5: 0.8333 prec@top5: 0.4111 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 20:29:47 - mmengine - INFO - Epoch(train) [8][740/2881] lr: 2.6318e-02 eta: 1:34:51 time: 0.6858 data_time: 0.0261 memory: 15414 grad_norm: 0.1964 recall@thr=0.5: 0.7473 prec@thr=0.5: 0.7903 recall@top3: 0.8398 prec@top3: 0.6989 recall@top5: 0.9624 prec@top5: 0.4968 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 20:30:02 - mmengine - INFO - Epoch(train) [8][760/2881] lr: 2.6198e-02 eta: 1:34:37 time: 0.7284 data_time: 0.0262 memory: 15376 grad_norm: 0.1918 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7281 recall@top3: 0.8070 prec@top3: 0.6842 recall@top5: 0.8947 prec@top5: 0.4737 loss_action_cls: 0.0346 loss: 0.0346 2022/08/10 20:30:16 - mmengine - INFO - Epoch(train) [8][780/2881] lr: 2.6078e-02 eta: 1:34:22 time: 0.7004 data_time: 0.0268 memory: 15548 grad_norm: 0.1905 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8306 recall@top3: 0.8507 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 20:30:29 - mmengine - INFO - Epoch(train) [8][800/2881] lr: 2.5958e-02 eta: 1:34:07 time: 0.6606 data_time: 0.0222 memory: 15280 grad_norm: 0.1981 recall@thr=0.5: 0.7684 prec@thr=0.5: 0.7675 recall@top3: 0.8430 prec@top3: 0.7018 recall@top5: 0.9632 prec@top5: 0.5158 loss_action_cls: 0.0274 loss: 0.0274 2022/08/10 20:30:43 - mmengine - INFO - Epoch(train) [8][820/2881] lr: 2.5839e-02 eta: 1:33:53 time: 0.7086 data_time: 0.0214 memory: 15395 grad_norm: 0.1989 recall@thr=0.5: 0.9365 prec@thr=0.5: 0.9881 recall@top3: 0.9683 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 20:30:52 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 20:30:57 - mmengine - INFO - Epoch(train) [8][840/2881] lr: 2.5720e-02 eta: 1:33:38 time: 0.6781 data_time: 0.0243 memory: 15280 grad_norm: 0.1886 recall@thr=0.5: 0.9286 prec@thr=0.5: 0.9365 recall@top3: 0.9286 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0279 loss: 0.0279 2022/08/10 20:31:10 - mmengine - INFO - Epoch(train) [8][860/2881] lr: 2.5600e-02 eta: 1:33:23 time: 0.6851 data_time: 0.0225 memory: 15452 grad_norm: 0.2047 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.9236 recall@top3: 0.8542 prec@top3: 0.7083 recall@top5: 0.9722 prec@top5: 0.5083 loss_action_cls: 0.0306 loss: 0.0306 2022/08/10 20:31:24 - mmengine - INFO - Epoch(train) [8][880/2881] lr: 2.5482e-02 eta: 1:33:09 time: 0.6967 data_time: 0.0255 memory: 15242 grad_norm: 0.1960 recall@thr=0.5: 0.7939 prec@thr=0.5: 0.8070 recall@top3: 0.8640 prec@top3: 0.6491 recall@top5: 0.9386 prec@top5: 0.4421 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 20:31:38 - mmengine - INFO - Epoch(train) [8][900/2881] lr: 2.5363e-02 eta: 1:32:54 time: 0.7076 data_time: 0.0233 memory: 15357 grad_norm: 0.1931 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7018 recall@top3: 0.6754 prec@top3: 0.5439 recall@top5: 0.7719 prec@top5: 0.3789 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:31:52 - mmengine - INFO - Epoch(train) [8][920/2881] lr: 2.5244e-02 eta: 1:32:40 time: 0.6902 data_time: 0.0228 memory: 15376 grad_norm: 0.2000 recall@thr=0.5: 0.8770 prec@thr=0.5: 0.8532 recall@top3: 0.8532 prec@top3: 0.7937 recall@top5: 0.9841 prec@top5: 0.5714 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 20:32:06 - mmengine - INFO - Epoch(train) [8][940/2881] lr: 2.5126e-02 eta: 1:32:25 time: 0.7096 data_time: 0.0226 memory: 15433 grad_norm: 0.2029 recall@thr=0.5: 0.9100 prec@thr=0.5: 0.8167 recall@top3: 0.9100 prec@top3: 0.7733 recall@top5: 0.9800 prec@top5: 0.5120 loss_action_cls: 0.0295 loss: 0.0295 2022/08/10 20:32:20 - mmengine - INFO - Epoch(train) [8][960/2881] lr: 2.5008e-02 eta: 1:32:10 time: 0.6648 data_time: 0.0269 memory: 15376 grad_norm: 0.2017 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8827 recall@top3: 0.8506 prec@top3: 0.7160 recall@top5: 0.9463 prec@top5: 0.5037 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 20:32:34 - mmengine - INFO - Epoch(train) [8][980/2881] lr: 2.4890e-02 eta: 1:31:56 time: 0.7252 data_time: 0.0260 memory: 15261 grad_norm: 0.1990 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.8413 recall@top3: 0.8452 prec@top3: 0.8413 recall@top5: 1.0000 prec@top5: 0.6095 loss_action_cls: 0.0319 loss: 0.0319 2022/08/10 20:32:48 - mmengine - INFO - Epoch(train) [8][1000/2881] lr: 2.4772e-02 eta: 1:31:41 time: 0.6906 data_time: 0.0229 memory: 15433 grad_norm: 0.1888 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8182 recall@top3: 0.9015 prec@top3: 0.6364 recall@top5: 0.9167 prec@top5: 0.3909 loss_action_cls: 0.0274 loss: 0.0274 2022/08/10 20:33:02 - mmengine - INFO - Epoch(train) [8][1020/2881] lr: 2.4655e-02 eta: 1:31:27 time: 0.7235 data_time: 0.0243 memory: 15242 grad_norm: 0.1904 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8659 recall@top3: 0.8913 prec@top3: 0.6957 recall@top5: 1.0000 prec@top5: 0.4870 loss_action_cls: 0.0319 loss: 0.0319 2022/08/10 20:33:16 - mmengine - INFO - Epoch(train) [8][1040/2881] lr: 2.4537e-02 eta: 1:31:12 time: 0.6916 data_time: 0.0229 memory: 15184 grad_norm: 0.1970 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.8000 recall@top3: 0.8400 prec@top3: 0.6267 recall@top5: 0.9800 prec@top5: 0.4480 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 20:33:30 - mmengine - INFO - Epoch(train) [8][1060/2881] lr: 2.4420e-02 eta: 1:30:58 time: 0.6848 data_time: 0.0234 memory: 15280 grad_norm: 0.2025 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8158 recall@top3: 0.7675 prec@top3: 0.5439 recall@top5: 0.9123 prec@top5: 0.4000 loss_action_cls: 0.0309 loss: 0.0309 2022/08/10 20:33:45 - mmengine - INFO - Epoch(train) [8][1080/2881] lr: 2.4303e-02 eta: 1:30:43 time: 0.7370 data_time: 0.0272 memory: 15338 grad_norm: 0.1870 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7569 recall@top3: 0.7986 prec@top3: 0.6250 recall@top5: 0.9097 prec@top5: 0.4417 loss_action_cls: 0.0290 loss: 0.0290 2022/08/10 20:33:59 - mmengine - INFO - Epoch(train) [8][1100/2881] lr: 2.4186e-02 eta: 1:30:29 time: 0.7047 data_time: 0.0217 memory: 15414 grad_norm: 0.2010 recall@thr=0.5: 0.8294 prec@thr=0.5: 0.9637 recall@top3: 0.8735 prec@top3: 0.9118 recall@top5: 0.9882 prec@top5: 0.6294 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 20:34:13 - mmengine - INFO - Epoch(train) [8][1120/2881] lr: 2.4069e-02 eta: 1:30:14 time: 0.6992 data_time: 0.0250 memory: 15261 grad_norm: 0.2097 recall@thr=0.5: 0.6920 prec@thr=0.5: 0.8261 recall@top3: 0.8406 prec@top3: 0.7101 recall@top5: 0.9783 prec@top5: 0.5217 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:34:26 - mmengine - INFO - Epoch(train) [8][1140/2881] lr: 2.3953e-02 eta: 1:30:00 time: 0.6759 data_time: 0.0272 memory: 15300 grad_norm: 0.2076 recall@thr=0.5: 0.8397 prec@thr=0.5: 0.7885 recall@top3: 0.8782 prec@top3: 0.6282 recall@top5: 0.9744 prec@top5: 0.4462 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 20:34:40 - mmengine - INFO - Epoch(train) [8][1160/2881] lr: 2.3837e-02 eta: 1:29:45 time: 0.6900 data_time: 0.0228 memory: 15318 grad_norm: 0.2015 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.7955 recall@top3: 0.8258 prec@top3: 0.7424 recall@top5: 0.9697 prec@top5: 0.5182 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 20:34:54 - mmengine - INFO - Epoch(train) [8][1180/2881] lr: 2.3721e-02 eta: 1:29:31 time: 0.7134 data_time: 0.0248 memory: 15357 grad_norm: 0.1900 recall@thr=0.5: 0.7740 prec@thr=0.5: 0.8967 recall@top3: 0.8007 prec@top3: 0.8400 recall@top5: 0.9253 prec@top5: 0.5920 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 20:35:08 - mmengine - INFO - Epoch(train) [8][1200/2881] lr: 2.3605e-02 eta: 1:29:16 time: 0.6949 data_time: 0.0225 memory: 15318 grad_norm: 0.1973 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.8028 recall@top3: 0.7561 prec@top3: 0.7222 recall@top5: 0.9778 prec@top5: 0.5800 loss_action_cls: 0.0291 loss: 0.0291 2022/08/10 20:35:23 - mmengine - INFO - Epoch(train) [8][1220/2881] lr: 2.3489e-02 eta: 1:29:02 time: 0.7135 data_time: 0.0260 memory: 15280 grad_norm: 0.1920 recall@thr=0.5: 0.5302 prec@thr=0.5: 0.7381 recall@top3: 0.8032 prec@top3: 0.6984 recall@top5: 0.9722 prec@top5: 0.5524 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 20:35:36 - mmengine - INFO - Epoch(train) [8][1240/2881] lr: 2.3374e-02 eta: 1:28:47 time: 0.6959 data_time: 0.0223 memory: 15338 grad_norm: 0.2022 recall@thr=0.5: 0.7040 prec@thr=0.5: 0.7867 recall@top3: 0.8100 prec@top3: 0.7867 recall@top5: 0.9260 prec@top5: 0.5600 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 20:35:51 - mmengine - INFO - Epoch(train) [8][1260/2881] lr: 2.3258e-02 eta: 1:28:33 time: 0.7134 data_time: 0.0220 memory: 15280 grad_norm: 0.1994 recall@thr=0.5: 0.8640 prec@thr=0.5: 0.8684 recall@top3: 0.8947 prec@top3: 0.6140 recall@top5: 0.9868 prec@top5: 0.4105 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 20:36:05 - mmengine - INFO - Epoch(train) [8][1280/2881] lr: 2.3143e-02 eta: 1:28:18 time: 0.7219 data_time: 0.0315 memory: 15280 grad_norm: 0.1956 recall@thr=0.5: 0.9022 prec@thr=0.5: 0.8188 recall@top3: 0.9022 prec@top3: 0.7246 recall@top5: 0.9130 prec@top5: 0.4435 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 20:36:19 - mmengine - INFO - Epoch(train) [8][1300/2881] lr: 2.3028e-02 eta: 1:28:04 time: 0.6966 data_time: 0.0228 memory: 15414 grad_norm: 0.2094 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.8761 recall@top3: 0.9274 prec@top3: 0.7350 recall@top5: 0.9872 prec@top5: 0.4769 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 20:36:33 - mmengine - INFO - Epoch(train) [8][1320/2881] lr: 2.2914e-02 eta: 1:27:49 time: 0.7077 data_time: 0.0234 memory: 15529 grad_norm: 0.2069 recall@thr=0.5: 0.6763 prec@thr=0.5: 0.8246 recall@top3: 0.7421 prec@top3: 0.6491 recall@top5: 0.9649 prec@top5: 0.5263 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 20:36:47 - mmengine - INFO - Epoch(train) [8][1340/2881] lr: 2.2799e-02 eta: 1:27:35 time: 0.6861 data_time: 0.0284 memory: 15491 grad_norm: 0.1899 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8431 recall@top3: 0.8382 prec@top3: 0.6275 recall@top5: 0.9559 prec@top5: 0.4471 loss_action_cls: 0.0353 loss: 0.0353 2022/08/10 20:37:01 - mmengine - INFO - Epoch(train) [8][1360/2881] lr: 2.2685e-02 eta: 1:27:20 time: 0.7101 data_time: 0.0225 memory: 15510 grad_norm: 0.1956 recall@thr=0.5: 0.8423 prec@thr=0.5: 0.8878 recall@top3: 0.8154 prec@top3: 0.7564 recall@top5: 0.9269 prec@top5: 0.5308 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 20:37:15 - mmengine - INFO - Epoch(train) [8][1380/2881] lr: 2.2571e-02 eta: 1:27:06 time: 0.7123 data_time: 0.0249 memory: 15414 grad_norm: 0.1978 recall@thr=0.5: 0.7725 prec@thr=0.5: 0.9203 recall@top3: 0.8891 prec@top3: 0.8116 recall@top5: 0.9826 prec@top5: 0.5565 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 20:37:29 - mmengine - INFO - Epoch(train) [8][1400/2881] lr: 2.2457e-02 eta: 1:26:51 time: 0.6968 data_time: 0.0240 memory: 15414 grad_norm: 0.2021 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.9359 recall@top3: 0.8750 prec@top3: 0.7564 recall@top5: 0.9583 prec@top5: 0.4923 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 20:37:43 - mmengine - INFO - Epoch(train) [8][1420/2881] lr: 2.2343e-02 eta: 1:26:37 time: 0.6974 data_time: 0.0239 memory: 15357 grad_norm: 0.2000 recall@thr=0.5: 0.8860 prec@thr=0.5: 0.9211 recall@top3: 0.9211 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 20:37:57 - mmengine - INFO - Epoch(train) [8][1440/2881] lr: 2.2230e-02 eta: 1:26:22 time: 0.6931 data_time: 0.0268 memory: 15414 grad_norm: 0.2093 recall@thr=0.5: 0.8447 prec@thr=0.5: 0.8788 recall@top3: 0.8674 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0291 loss: 0.0291 2022/08/10 20:38:11 - mmengine - INFO - Epoch(train) [8][1460/2881] lr: 2.2117e-02 eta: 1:26:08 time: 0.7109 data_time: 0.0279 memory: 15414 grad_norm: 0.1925 recall@thr=0.5: 0.7421 prec@thr=0.5: 0.7619 recall@top3: 0.8056 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.3905 loss_action_cls: 0.0309 loss: 0.0309 2022/08/10 20:38:26 - mmengine - INFO - Epoch(train) [8][1480/2881] lr: 2.2004e-02 eta: 1:25:53 time: 0.7182 data_time: 0.0235 memory: 15452 grad_norm: 0.1895 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6716 recall@top3: 0.7500 prec@top3: 0.6765 recall@top5: 0.9216 prec@top5: 0.5118 loss_action_cls: 0.0277 loss: 0.0277 2022/08/10 20:38:40 - mmengine - INFO - Epoch(train) [8][1500/2881] lr: 2.1891e-02 eta: 1:25:39 time: 0.7151 data_time: 0.0242 memory: 15510 grad_norm: 0.1989 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9167 recall@top3: 1.0000 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 20:38:54 - mmengine - INFO - Epoch(train) [8][1520/2881] lr: 2.1778e-02 eta: 1:25:24 time: 0.6868 data_time: 0.0229 memory: 15338 grad_norm: 0.1954 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.8200 recall@top3: 0.8067 prec@top3: 0.6267 recall@top5: 0.8733 prec@top5: 0.4080 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 20:39:08 - mmengine - INFO - Epoch(train) [8][1540/2881] lr: 2.1666e-02 eta: 1:25:10 time: 0.7136 data_time: 0.0245 memory: 15318 grad_norm: 0.2081 recall@thr=0.5: 0.8474 prec@thr=0.5: 0.9430 recall@top3: 0.9263 prec@top3: 0.7895 recall@top5: 0.9789 prec@top5: 0.5053 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:39:22 - mmengine - INFO - Epoch(train) [8][1560/2881] lr: 2.1554e-02 eta: 1:24:55 time: 0.6823 data_time: 0.0210 memory: 15548 grad_norm: 0.1924 recall@thr=0.5: 0.8226 prec@thr=0.5: 0.8952 recall@top3: 0.8280 prec@top3: 0.6667 recall@top5: 0.9301 prec@top5: 0.4581 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 20:39:37 - mmengine - INFO - Epoch(train) [8][1580/2881] lr: 2.1442e-02 eta: 1:24:41 time: 0.7645 data_time: 0.0267 memory: 15280 grad_norm: 0.1960 recall@thr=0.5: 0.6988 prec@thr=0.5: 0.8148 recall@top3: 0.7975 prec@top3: 0.6667 recall@top5: 0.9111 prec@top5: 0.4815 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 20:39:52 - mmengine - INFO - Epoch(train) [8][1600/2881] lr: 2.1330e-02 eta: 1:24:27 time: 0.7240 data_time: 0.0268 memory: 15261 grad_norm: 0.1979 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8704 recall@top3: 0.9306 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0342 loss: 0.0342 2022/08/10 20:40:07 - mmengine - INFO - Epoch(train) [8][1620/2881] lr: 2.1218e-02 eta: 1:24:13 time: 0.7670 data_time: 0.0252 memory: 15261 grad_norm: 0.1965 recall@thr=0.5: 0.8406 prec@thr=0.5: 0.7971 recall@top3: 0.8514 prec@top3: 0.6232 recall@top5: 0.9710 prec@top5: 0.4348 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 20:40:21 - mmengine - INFO - Epoch(train) [8][1640/2881] lr: 2.1107e-02 eta: 1:23:58 time: 0.6874 data_time: 0.0215 memory: 15318 grad_norm: 0.2064 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.8667 recall@top3: 0.8442 prec@top3: 0.8116 recall@top5: 0.9783 prec@top5: 0.5826 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 20:40:36 - mmengine - INFO - Epoch(train) [8][1660/2881] lr: 2.0996e-02 eta: 1:23:44 time: 0.7556 data_time: 0.0263 memory: 15338 grad_norm: 0.1988 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.6452 recall@top3: 0.7798 prec@top3: 0.5833 recall@top5: 0.9226 prec@top5: 0.3929 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 20:40:49 - mmengine - INFO - Epoch(train) [8][1680/2881] lr: 2.0885e-02 eta: 1:23:29 time: 0.6833 data_time: 0.0225 memory: 15338 grad_norm: 0.1902 recall@thr=0.5: 0.7520 prec@thr=0.5: 0.8529 recall@top3: 0.8500 prec@top3: 0.8039 recall@top5: 0.9176 prec@top5: 0.5412 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 20:41:03 - mmengine - INFO - Epoch(train) [8][1700/2881] lr: 2.0774e-02 eta: 1:23:14 time: 0.6555 data_time: 0.0224 memory: 15338 grad_norm: 0.1962 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7917 recall@top3: 0.8519 prec@top3: 0.7222 recall@top5: 0.9537 prec@top5: 0.5000 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 20:41:17 - mmengine - INFO - Epoch(train) [8][1720/2881] lr: 2.0664e-02 eta: 1:23:00 time: 0.7045 data_time: 0.0216 memory: 15625 grad_norm: 0.1996 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8000 recall@top3: 0.9750 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 20:41:31 - mmengine - INFO - Epoch(train) [8][1740/2881] lr: 2.0553e-02 eta: 1:22:46 time: 0.7088 data_time: 0.0225 memory: 15300 grad_norm: 0.1940 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6667 recall@top3: 0.7460 prec@top3: 0.7143 recall@top5: 0.9683 prec@top5: 0.5619 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 20:41:44 - mmengine - INFO - Epoch(train) [8][1760/2881] lr: 2.0443e-02 eta: 1:22:31 time: 0.6758 data_time: 0.0221 memory: 15318 grad_norm: 0.1960 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.7652 recall@top3: 0.8409 prec@top3: 0.6212 recall@top5: 0.9470 prec@top5: 0.4273 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 20:41:59 - mmengine - INFO - Epoch(train) [8][1780/2881] lr: 2.0334e-02 eta: 1:22:16 time: 0.7174 data_time: 0.0260 memory: 15548 grad_norm: 0.1902 recall@thr=0.5: 0.8108 prec@thr=0.5: 0.8925 recall@top3: 0.8301 prec@top3: 0.7742 recall@top5: 0.9554 prec@top5: 0.5677 loss_action_cls: 0.0303 loss: 0.0303 2022/08/10 20:42:12 - mmengine - INFO - Epoch(train) [8][1800/2881] lr: 2.0224e-02 eta: 1:22:02 time: 0.6861 data_time: 0.0205 memory: 15433 grad_norm: 0.2018 recall@thr=0.5: 0.6912 prec@thr=0.5: 0.7351 recall@top3: 0.7070 prec@top3: 0.5965 recall@top5: 0.9693 prec@top5: 0.4737 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 20:42:26 - mmengine - INFO - Epoch(train) [8][1820/2881] lr: 2.0115e-02 eta: 1:21:47 time: 0.6834 data_time: 0.0244 memory: 15204 grad_norm: 0.1978 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8371 recall@top3: 0.8864 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4818 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 20:42:35 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 20:42:40 - mmengine - INFO - Epoch(train) [8][1840/2881] lr: 2.0005e-02 eta: 1:21:33 time: 0.6833 data_time: 0.0233 memory: 15338 grad_norm: 0.1966 recall@thr=0.5: 0.8642 prec@thr=0.5: 0.9043 recall@top3: 0.9506 prec@top3: 0.7284 recall@top5: 0.9753 prec@top5: 0.4519 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:42:54 - mmengine - INFO - Epoch(train) [8][1860/2881] lr: 1.9896e-02 eta: 1:21:18 time: 0.7091 data_time: 0.0235 memory: 15280 grad_norm: 0.2027 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7632 recall@top3: 0.8421 prec@top3: 0.7719 recall@top5: 0.9298 prec@top5: 0.5263 loss_action_cls: 0.0333 loss: 0.0333 2022/08/10 20:43:09 - mmengine - INFO - Epoch(train) [8][1880/2881] lr: 1.9788e-02 eta: 1:21:04 time: 0.7425 data_time: 0.0222 memory: 15300 grad_norm: 0.2063 recall@thr=0.5: 0.8989 prec@thr=0.5: 0.9138 recall@top3: 0.8747 prec@top3: 0.7701 recall@top5: 0.9632 prec@top5: 0.5310 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 20:43:23 - mmengine - INFO - Epoch(train) [8][1900/2881] lr: 1.9679e-02 eta: 1:20:49 time: 0.7004 data_time: 0.0226 memory: 15318 grad_norm: 0.2021 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.7719 recall@top3: 0.8509 prec@top3: 0.6842 recall@top5: 0.9386 prec@top5: 0.4632 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 20:43:37 - mmengine - INFO - Epoch(train) [8][1920/2881] lr: 1.9571e-02 eta: 1:20:35 time: 0.6916 data_time: 0.0227 memory: 15357 grad_norm: 0.1994 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9083 recall@top3: 0.9000 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0306 loss: 0.0306 2022/08/10 20:43:50 - mmengine - INFO - Epoch(train) [8][1940/2881] lr: 1.9463e-02 eta: 1:20:20 time: 0.6719 data_time: 0.0237 memory: 15300 grad_norm: 0.1948 recall@thr=0.5: 0.7980 prec@thr=0.5: 0.8662 recall@top3: 0.9192 prec@top3: 0.7980 recall@top5: 0.9444 prec@top5: 0.4970 loss_action_cls: 0.0270 loss: 0.0270 2022/08/10 20:44:04 - mmengine - INFO - Epoch(train) [8][1960/2881] lr: 1.9355e-02 eta: 1:20:06 time: 0.6752 data_time: 0.0229 memory: 15433 grad_norm: 0.1886 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9206 recall@top3: 0.7810 prec@top3: 0.7302 recall@top5: 0.9262 prec@top5: 0.5429 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 20:44:18 - mmengine - INFO - Epoch(train) [8][1980/2881] lr: 1.9247e-02 eta: 1:19:51 time: 0.7276 data_time: 0.0238 memory: 15414 grad_norm: 0.1982 recall@thr=0.5: 0.9618 prec@thr=0.5: 0.8819 recall@top3: 0.9896 prec@top3: 0.7778 recall@top5: 0.9896 prec@top5: 0.4667 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 20:44:32 - mmengine - INFO - Epoch(train) [8][2000/2881] lr: 1.9140e-02 eta: 1:19:37 time: 0.6834 data_time: 0.0225 memory: 15395 grad_norm: 0.2007 recall@thr=0.5: 0.9467 prec@thr=0.5: 0.8867 recall@top3: 0.9267 prec@top3: 0.6933 recall@top5: 0.9467 prec@top5: 0.4320 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 20:44:46 - mmengine - INFO - Epoch(train) [8][2020/2881] lr: 1.9033e-02 eta: 1:19:22 time: 0.6981 data_time: 0.0243 memory: 15318 grad_norm: 0.1951 recall@thr=0.5: 0.8551 prec@thr=0.5: 0.9058 recall@top3: 0.9094 prec@top3: 0.7246 recall@top5: 1.0000 prec@top5: 0.4870 loss_action_cls: 0.0269 loss: 0.0269 2022/08/10 20:45:00 - mmengine - INFO - Epoch(train) [8][2040/2881] lr: 1.8926e-02 eta: 1:19:08 time: 0.6990 data_time: 0.0232 memory: 15376 grad_norm: 0.1955 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.9216 recall@top3: 0.7892 prec@top3: 0.7647 recall@top5: 0.8873 prec@top5: 0.5294 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 20:45:14 - mmengine - INFO - Epoch(train) [8][2060/2881] lr: 1.8819e-02 eta: 1:18:53 time: 0.7224 data_time: 0.0255 memory: 15261 grad_norm: 0.2010 recall@thr=0.5: 0.8494 prec@thr=0.5: 0.7949 recall@top3: 0.9455 prec@top3: 0.7308 recall@top5: 1.0000 prec@top5: 0.4692 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 20:45:29 - mmengine - INFO - Epoch(train) [8][2080/2881] lr: 1.8713e-02 eta: 1:18:39 time: 0.7238 data_time: 0.0229 memory: 15318 grad_norm: 0.2019 recall@thr=0.5: 0.8136 prec@thr=0.5: 0.8788 recall@top3: 0.8477 prec@top3: 0.7727 recall@top5: 0.9402 prec@top5: 0.5273 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 20:45:43 - mmengine - INFO - Epoch(train) [8][2100/2881] lr: 1.8607e-02 eta: 1:18:25 time: 0.7149 data_time: 0.0216 memory: 15338 grad_norm: 0.1882 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.9825 recall@top3: 0.8596 prec@top3: 0.7544 recall@top5: 0.9474 prec@top5: 0.5158 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 20:45:57 - mmengine - INFO - Epoch(train) [8][2120/2881] lr: 1.8501e-02 eta: 1:18:10 time: 0.7229 data_time: 0.0286 memory: 15338 grad_norm: 0.1912 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8295 recall@top3: 0.8167 prec@top3: 0.7524 recall@top5: 0.9405 prec@top5: 0.5371 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 20:46:12 - mmengine - INFO - Epoch(train) [8][2140/2881] lr: 1.8395e-02 eta: 1:17:56 time: 0.7205 data_time: 0.0240 memory: 15414 grad_norm: 0.2001 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.9500 recall@top3: 0.8625 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 20:46:26 - mmengine - INFO - Epoch(train) [8][2160/2881] lr: 1.8290e-02 eta: 1:17:41 time: 0.6854 data_time: 0.0255 memory: 15376 grad_norm: 0.2022 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8194 recall@top3: 0.8380 prec@top3: 0.6481 recall@top5: 0.9583 prec@top5: 0.4667 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 20:46:40 - mmengine - INFO - Epoch(train) [8][2180/2881] lr: 1.8184e-02 eta: 1:17:27 time: 0.7226 data_time: 0.0200 memory: 15318 grad_norm: 0.1899 recall@thr=0.5: 0.7827 prec@thr=0.5: 0.8595 recall@top3: 0.7887 prec@top3: 0.8095 recall@top5: 0.9583 prec@top5: 0.5929 loss_action_cls: 0.0341 loss: 0.0341 2022/08/10 20:46:54 - mmengine - INFO - Epoch(train) [8][2200/2881] lr: 1.8079e-02 eta: 1:17:12 time: 0.6930 data_time: 0.0223 memory: 15280 grad_norm: 0.2045 recall@thr=0.5: 0.7141 prec@thr=0.5: 0.8718 recall@top3: 0.8295 prec@top3: 0.7051 recall@top5: 0.9654 prec@top5: 0.5077 loss_action_cls: 0.0344 loss: 0.0344 2022/08/10 20:47:08 - mmengine - INFO - Epoch(train) [8][2220/2881] lr: 1.7974e-02 eta: 1:16:58 time: 0.6854 data_time: 0.0229 memory: 15318 grad_norm: 0.1987 recall@thr=0.5: 0.6197 prec@thr=0.5: 0.8030 recall@top3: 0.7697 prec@top3: 0.6970 recall@top5: 0.9773 prec@top5: 0.5364 loss_action_cls: 0.0317 loss: 0.0317 2022/08/10 20:47:22 - mmengine - INFO - Epoch(train) [8][2240/2881] lr: 1.7870e-02 eta: 1:16:43 time: 0.7430 data_time: 0.0238 memory: 15357 grad_norm: 0.1995 recall@thr=0.5: 0.9356 prec@thr=0.5: 0.8712 recall@top3: 0.9205 prec@top3: 0.6212 recall@top5: 0.9886 prec@top5: 0.4182 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 20:47:37 - mmengine - INFO - Epoch(train) [8][2260/2881] lr: 1.7766e-02 eta: 1:16:29 time: 0.7074 data_time: 0.0244 memory: 15395 grad_norm: 0.1940 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.9583 recall@top3: 0.8792 prec@top3: 0.8500 recall@top5: 0.9750 prec@top5: 0.5800 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 20:47:51 - mmengine - INFO - Epoch(train) [8][2280/2881] lr: 1.7662e-02 eta: 1:16:15 time: 0.7166 data_time: 0.0232 memory: 15357 grad_norm: 0.1955 recall@thr=0.5: 0.9697 prec@thr=0.5: 0.8447 recall@top3: 0.9318 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 20:48:05 - mmengine - INFO - Epoch(train) [8][2300/2881] lr: 1.7558e-02 eta: 1:16:00 time: 0.6990 data_time: 0.0243 memory: 15395 grad_norm: 0.1945 recall@thr=0.5: 0.8674 prec@thr=0.5: 0.8364 recall@top3: 0.8636 prec@top3: 0.8030 recall@top5: 0.9545 prec@top5: 0.5364 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 20:48:19 - mmengine - INFO - Epoch(train) [8][2320/2881] lr: 1.7454e-02 eta: 1:15:46 time: 0.6971 data_time: 0.0230 memory: 15452 grad_norm: 0.1982 recall@thr=0.5: 0.8661 prec@thr=0.5: 0.9333 recall@top3: 0.8522 prec@top3: 0.8889 recall@top5: 0.9756 prec@top5: 0.6333 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 20:48:33 - mmengine - INFO - Epoch(train) [8][2340/2881] lr: 1.7351e-02 eta: 1:15:31 time: 0.6982 data_time: 0.0264 memory: 15242 grad_norm: 0.1950 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9417 recall@top3: 0.8750 prec@top3: 0.7667 recall@top5: 0.9667 prec@top5: 0.5100 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 20:48:46 - mmengine - INFO - Epoch(train) [8][2360/2881] lr: 1.7248e-02 eta: 1:15:17 time: 0.6826 data_time: 0.0213 memory: 15223 grad_norm: 0.2013 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.8043 recall@top3: 0.9275 prec@top3: 0.6087 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0267 loss: 0.0267 2022/08/10 20:49:00 - mmengine - INFO - Epoch(train) [8][2380/2881] lr: 1.7145e-02 eta: 1:15:02 time: 0.6651 data_time: 0.0231 memory: 15300 grad_norm: 0.1935 recall@thr=0.5: 0.9028 prec@thr=0.5: 0.7257 recall@top3: 0.9347 prec@top3: 0.6528 recall@top5: 1.0000 prec@top5: 0.4417 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 20:49:14 - mmengine - INFO - Epoch(train) [8][2400/2881] lr: 1.7042e-02 eta: 1:14:48 time: 0.7285 data_time: 0.0254 memory: 15433 grad_norm: 0.1950 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.7982 recall@top3: 0.8728 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.4947 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 20:49:28 - mmengine - INFO - Epoch(train) [8][2420/2881] lr: 1.6940e-02 eta: 1:14:33 time: 0.6899 data_time: 0.0273 memory: 15280 grad_norm: 0.1988 recall@thr=0.5: 0.7700 prec@thr=0.5: 0.7433 recall@top3: 0.7767 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.5700 loss_action_cls: 0.0302 loss: 0.0302 2022/08/10 20:49:44 - mmengine - INFO - Epoch(train) [8][2440/2881] lr: 1.6838e-02 eta: 1:14:19 time: 0.8130 data_time: 0.0261 memory: 15529 grad_norm: 0.1908 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8827 recall@top3: 0.8549 prec@top3: 0.7407 recall@top5: 0.9630 prec@top5: 0.5185 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 20:49:59 - mmengine - INFO - Epoch(train) [8][2460/2881] lr: 1.6736e-02 eta: 1:14:05 time: 0.7081 data_time: 0.0274 memory: 15242 grad_norm: 0.1901 recall@thr=0.5: 0.9361 prec@thr=0.5: 0.9028 recall@top3: 0.9167 prec@top3: 0.8444 recall@top5: 0.9778 prec@top5: 0.5400 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 20:50:12 - mmengine - INFO - Epoch(train) [8][2480/2881] lr: 1.6634e-02 eta: 1:13:50 time: 0.6909 data_time: 0.0226 memory: 15318 grad_norm: 0.1948 recall@thr=0.5: 0.7306 prec@thr=0.5: 0.8639 recall@top3: 0.8278 prec@top3: 0.8111 recall@top5: 0.9667 prec@top5: 0.5733 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 20:50:26 - mmengine - INFO - Epoch(train) [8][2500/2881] lr: 1.6533e-02 eta: 1:13:36 time: 0.7041 data_time: 0.0244 memory: 15452 grad_norm: 0.1975 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9259 recall@top3: 0.9306 prec@top3: 0.8519 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 20:50:41 - mmengine - INFO - Epoch(train) [8][2520/2881] lr: 1.6432e-02 eta: 1:13:21 time: 0.7069 data_time: 0.0297 memory: 15414 grad_norm: 0.1875 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.9206 recall@top3: 0.8810 prec@top3: 0.8254 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 20:50:55 - mmengine - INFO - Epoch(train) [8][2540/2881] lr: 1.6331e-02 eta: 1:13:07 time: 0.7077 data_time: 0.0179 memory: 15300 grad_norm: 0.1928 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8083 recall@top3: 0.8667 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0332 loss: 0.0332 2022/08/10 20:51:08 - mmengine - INFO - Epoch(train) [8][2560/2881] lr: 1.6230e-02 eta: 1:12:52 time: 0.6792 data_time: 0.0221 memory: 15491 grad_norm: 0.1961 recall@thr=0.5: 0.9023 prec@thr=0.5: 0.8420 recall@top3: 0.8793 prec@top3: 0.7816 recall@top5: 1.0000 prec@top5: 0.5448 loss_action_cls: 0.0319 loss: 0.0319 2022/08/10 20:51:22 - mmengine - INFO - Epoch(train) [8][2580/2881] lr: 1.6130e-02 eta: 1:12:38 time: 0.6876 data_time: 0.0234 memory: 15414 grad_norm: 0.1934 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7895 recall@top3: 0.8070 prec@top3: 0.7018 recall@top5: 0.9211 prec@top5: 0.4947 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 20:51:37 - mmengine - INFO - Epoch(train) [8][2600/2881] lr: 1.6029e-02 eta: 1:12:23 time: 0.7245 data_time: 0.0272 memory: 15414 grad_norm: 0.1940 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8250 recall@top3: 0.7542 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 20:51:50 - mmengine - INFO - Epoch(train) [8][2620/2881] lr: 1.5930e-02 eta: 1:12:09 time: 0.6590 data_time: 0.0231 memory: 15261 grad_norm: 0.1980 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.7639 recall@top3: 0.9722 prec@top3: 0.5972 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 20:52:04 - mmengine - INFO - Epoch(train) [8][2640/2881] lr: 1.5830e-02 eta: 1:11:54 time: 0.7258 data_time: 0.0206 memory: 15491 grad_norm: 0.1956 recall@thr=0.5: 0.5720 prec@thr=0.5: 0.7576 recall@top3: 0.6856 prec@top3: 0.5758 recall@top5: 0.8485 prec@top5: 0.4364 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 20:52:18 - mmengine - INFO - Epoch(train) [8][2660/2881] lr: 1.5731e-02 eta: 1:11:40 time: 0.6879 data_time: 0.0248 memory: 15376 grad_norm: 0.2040 recall@thr=0.5: 0.9022 prec@thr=0.5: 0.9348 recall@top3: 0.9239 prec@top3: 0.8116 recall@top5: 0.9384 prec@top5: 0.4957 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 20:52:32 - mmengine - INFO - Epoch(train) [8][2680/2881] lr: 1.5631e-02 eta: 1:11:25 time: 0.6938 data_time: 0.0229 memory: 15433 grad_norm: 0.2012 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.5833 recall@top3: 0.8116 prec@top3: 0.5362 recall@top5: 0.9058 prec@top5: 0.3652 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 20:52:47 - mmengine - INFO - Epoch(train) [8][2700/2881] lr: 1.5533e-02 eta: 1:11:11 time: 0.7698 data_time: 0.0320 memory: 15338 grad_norm: 0.1996 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7675 recall@top3: 0.8596 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 20:53:02 - mmengine - INFO - Epoch(train) [8][2720/2881] lr: 1.5434e-02 eta: 1:10:57 time: 0.7496 data_time: 0.0259 memory: 15491 grad_norm: 0.1899 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.5937 recall@top3: 0.6667 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.0267 loss: 0.0267 2022/08/10 20:53:16 - mmengine - INFO - Epoch(train) [8][2740/2881] lr: 1.5336e-02 eta: 1:10:42 time: 0.6793 data_time: 0.0214 memory: 15184 grad_norm: 0.1927 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8083 recall@top3: 0.8042 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0250 loss: 0.0250 2022/08/10 20:53:30 - mmengine - INFO - Epoch(train) [8][2760/2881] lr: 1.5237e-02 eta: 1:10:28 time: 0.6820 data_time: 0.0241 memory: 15223 grad_norm: 0.1941 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8825 recall@top3: 0.9325 prec@top3: 0.8730 recall@top5: 0.9841 prec@top5: 0.5619 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 20:53:44 - mmengine - INFO - Epoch(train) [8][2780/2881] lr: 1.5140e-02 eta: 1:10:14 time: 0.7467 data_time: 0.0215 memory: 15567 grad_norm: 0.1991 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.9000 recall@top3: 0.9111 prec@top3: 0.8222 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 20:53:59 - mmengine - INFO - Epoch(train) [8][2800/2881] lr: 1.5042e-02 eta: 1:09:59 time: 0.7070 data_time: 0.0224 memory: 15376 grad_norm: 0.1974 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8333 recall@top3: 0.9038 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.4615 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 20:54:12 - mmengine - INFO - Epoch(train) [8][2820/2881] lr: 1.4945e-02 eta: 1:09:44 time: 0.6535 data_time: 0.0231 memory: 15300 grad_norm: 0.2034 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.9167 recall@top3: 0.8630 prec@top3: 0.7963 recall@top5: 0.9407 prec@top5: 0.5333 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 20:54:20 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 20:54:25 - mmengine - INFO - Epoch(train) [8][2840/2881] lr: 1.4848e-02 eta: 1:09:30 time: 0.6888 data_time: 0.0211 memory: 15338 grad_norm: 0.2022 recall@thr=0.5: 0.9077 prec@thr=0.5: 0.9077 recall@top3: 0.8542 prec@top3: 0.8810 recall@top5: 0.9911 prec@top5: 0.6214 loss_action_cls: 0.0305 loss: 0.0305 2022/08/10 20:54:39 - mmengine - INFO - Epoch(train) [8][2860/2881] lr: 1.4751e-02 eta: 1:09:15 time: 0.6863 data_time: 0.0294 memory: 15357 grad_norm: 0.1962 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.9242 recall@top3: 0.8409 prec@top3: 0.6970 recall@top5: 0.9470 prec@top5: 0.4818 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 20:54:52 - mmengine - INFO - Epoch(train) [8][2880/2881] lr: 1.4654e-02 eta: 1:09:01 time: 0.6641 data_time: 0.0193 memory: 15242 grad_norm: 0.2010 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9457 recall@top3: 1.0000 prec@top3: 0.8116 recall@top5: 1.0000 prec@top5: 0.4870 loss_action_cls: 0.0305 loss: 0.0305 2022/08/10 20:54:53 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 20:54:53 - mmengine - INFO - Epoch(train) [8][2881/2881] lr: 1.4649e-02 eta: 1:09:01 time: 0.6630 data_time: 0.0207 memory: 15070 grad_norm: 0.2006 recall@thr=0.5: 0.8625 prec@thr=0.5: 0.8403 recall@top3: 0.8125 prec@top3: 0.7639 recall@top5: 0.9333 prec@top5: 0.5667 loss_action_cls: 0.0307 loss: 0.0307 2022/08/10 20:54:53 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/10 20:55:03 - mmengine - INFO - Epoch(val) [8][20/6282] eta: 0:06:52 time: 0.0658 data_time: 0.0149 memory: 1670 2022/08/10 20:55:04 - mmengine - INFO - Epoch(val) [8][40/6282] eta: 0:05:26 time: 0.0523 data_time: 0.0037 memory: 1670 2022/08/10 20:55:05 - mmengine - INFO - Epoch(val) [8][60/6282] eta: 0:05:18 time: 0.0511 data_time: 0.0035 memory: 1670 2022/08/10 20:55:06 - mmengine - INFO - Epoch(val) [8][80/6282] eta: 0:05:24 time: 0.0524 data_time: 0.0034 memory: 1670 2022/08/10 20:55:07 - mmengine - INFO - Epoch(val) [8][100/6282] eta: 0:05:33 time: 0.0539 data_time: 0.0032 memory: 1670 2022/08/10 20:55:08 - mmengine - INFO - Epoch(val) [8][120/6282] eta: 0:06:17 time: 0.0612 data_time: 0.0034 memory: 1704 2022/08/10 20:55:11 - mmengine - INFO - Epoch(val) [8][140/6282] eta: 0:13:03 time: 0.1275 data_time: 0.0675 memory: 1704 2022/08/10 20:55:12 - mmengine - INFO - Epoch(val) [8][160/6282] eta: 0:07:28 time: 0.0732 data_time: 0.0148 memory: 1704 2022/08/10 20:55:14 - mmengine - INFO - Epoch(val) [8][180/6282] eta: 0:07:33 time: 0.0743 data_time: 0.0066 memory: 1704 2022/08/10 20:55:15 - mmengine - INFO - Epoch(val) [8][200/6282] eta: 0:06:47 time: 0.0670 data_time: 0.0054 memory: 1704 2022/08/10 20:55:17 - mmengine - INFO - Epoch(val) [8][220/6282] eta: 0:07:54 time: 0.0783 data_time: 0.0228 memory: 1677 2022/08/10 20:55:18 - mmengine - INFO - Epoch(val) [8][240/6282] eta: 0:05:59 time: 0.0595 data_time: 0.0041 memory: 1677 2022/08/10 20:55:19 - mmengine - INFO - Epoch(val) [8][260/6282] eta: 0:06:03 time: 0.0603 data_time: 0.0051 memory: 1677 2022/08/10 20:55:20 - mmengine - INFO - Epoch(val) [8][280/6282] eta: 0:06:13 time: 0.0622 data_time: 0.0046 memory: 1677 2022/08/10 20:55:22 - mmengine - INFO - Epoch(val) [8][300/6282] eta: 0:06:49 time: 0.0684 data_time: 0.0045 memory: 1704 2022/08/10 20:55:24 - mmengine - INFO - Epoch(val) [8][320/6282] eta: 0:09:17 time: 0.0935 data_time: 0.0128 memory: 1906 2022/08/10 20:55:25 - mmengine - INFO - Epoch(val) [8][340/6282] eta: 0:07:57 time: 0.0803 data_time: 0.0090 memory: 1774 2022/08/10 20:55:27 - mmengine - INFO - Epoch(val) [8][360/6282] eta: 0:10:24 time: 0.1054 data_time: 0.0356 memory: 1840 2022/08/10 20:55:30 - mmengine - INFO - Epoch(val) [8][380/6282] eta: 0:13:36 time: 0.1383 data_time: 0.0761 memory: 1840 2022/08/10 20:55:32 - mmengine - INFO - Epoch(val) [8][400/6282] eta: 0:10:02 time: 0.1025 data_time: 0.0469 memory: 1704 2022/08/10 20:55:34 - mmengine - INFO - Epoch(val) [8][420/6282] eta: 0:09:55 time: 0.1015 data_time: 0.0213 memory: 1677 2022/08/10 20:55:35 - mmengine - INFO - Epoch(val) [8][440/6282] eta: 0:05:24 time: 0.0555 data_time: 0.0047 memory: 1677 2022/08/10 20:55:37 - mmengine - INFO - Epoch(val) [8][460/6282] eta: 0:05:35 time: 0.0576 data_time: 0.0047 memory: 1677 2022/08/10 20:55:38 - mmengine - INFO - Epoch(val) [8][480/6282] eta: 0:05:22 time: 0.0556 data_time: 0.0047 memory: 1677 2022/08/10 20:55:39 - mmengine - INFO - Epoch(val) [8][500/6282] eta: 0:05:10 time: 0.0537 data_time: 0.0037 memory: 1677 2022/08/10 20:55:40 - mmengine - INFO - Epoch(val) [8][520/6282] eta: 0:05:17 time: 0.0551 data_time: 0.0034 memory: 1677 2022/08/10 20:55:41 - mmengine - INFO - Epoch(val) [8][540/6282] eta: 0:05:33 time: 0.0581 data_time: 0.0043 memory: 1677 2022/08/10 20:55:42 - mmengine - INFO - Epoch(val) [8][560/6282] eta: 0:05:35 time: 0.0587 data_time: 0.0039 memory: 1677 2022/08/10 20:55:44 - mmengine - INFO - Epoch(val) [8][580/6282] eta: 0:06:03 time: 0.0638 data_time: 0.0041 memory: 1677 2022/08/10 20:55:45 - mmengine - INFO - Epoch(val) [8][600/6282] eta: 0:05:56 time: 0.0627 data_time: 0.0047 memory: 1677 2022/08/10 20:55:46 - mmengine - INFO - Epoch(val) [8][620/6282] eta: 0:05:08 time: 0.0544 data_time: 0.0047 memory: 1677 2022/08/10 20:55:47 - mmengine - INFO - Epoch(val) [8][640/6282] eta: 0:05:03 time: 0.0538 data_time: 0.0037 memory: 1675 2022/08/10 20:55:48 - mmengine - INFO - Epoch(val) [8][660/6282] eta: 0:04:52 time: 0.0521 data_time: 0.0034 memory: 1675 2022/08/10 20:55:49 - mmengine - INFO - Epoch(val) [8][680/6282] eta: 0:05:08 time: 0.0551 data_time: 0.0039 memory: 1675 2022/08/10 20:55:50 - mmengine - INFO - Epoch(val) [8][700/6282] eta: 0:05:29 time: 0.0590 data_time: 0.0045 memory: 1675 2022/08/10 20:55:53 - mmengine - INFO - Epoch(val) [8][720/6282] eta: 0:13:03 time: 0.1410 data_time: 0.0729 memory: 1939 2022/08/10 20:55:57 - mmengine - INFO - Epoch(val) [8][740/6282] eta: 0:18:04 time: 0.1958 data_time: 0.1236 memory: 1807 2022/08/10 20:56:00 - mmengine - INFO - Epoch(val) [8][760/6282] eta: 0:14:13 time: 0.1546 data_time: 0.0865 memory: 1774 2022/08/10 20:56:03 - mmengine - INFO - Epoch(val) [8][780/6282] eta: 0:15:14 time: 0.1662 data_time: 0.1016 memory: 1704 2022/08/10 20:56:07 - mmengine - INFO - Epoch(val) [8][800/6282] eta: 0:15:41 time: 0.1717 data_time: 0.1062 memory: 1704 2022/08/10 20:56:09 - mmengine - INFO - Epoch(val) [8][820/6282] eta: 0:09:35 time: 0.1054 data_time: 0.0517 memory: 1704 2022/08/10 20:56:10 - mmengine - INFO - Epoch(val) [8][840/6282] eta: 0:05:00 time: 0.0553 data_time: 0.0034 memory: 1722 2022/08/10 20:56:12 - mmengine - INFO - Epoch(val) [8][860/6282] eta: 0:09:16 time: 0.1027 data_time: 0.0507 memory: 1677 2022/08/10 20:56:13 - mmengine - INFO - Epoch(val) [8][880/6282] eta: 0:05:25 time: 0.0602 data_time: 0.0033 memory: 1677 2022/08/10 20:56:15 - mmengine - INFO - Epoch(val) [8][900/6282] eta: 0:05:41 time: 0.0634 data_time: 0.0052 memory: 1677 2022/08/10 20:56:16 - mmengine - INFO - Epoch(val) [8][920/6282] eta: 0:05:08 time: 0.0575 data_time: 0.0035 memory: 1697 2022/08/10 20:56:17 - mmengine - INFO - Epoch(val) [8][940/6282] eta: 0:04:54 time: 0.0551 data_time: 0.0050 memory: 1670 2022/08/10 20:56:18 - mmengine - INFO - Epoch(val) [8][960/6282] eta: 0:06:44 time: 0.0761 data_time: 0.0041 memory: 1670 2022/08/10 20:56:20 - mmengine - INFO - Epoch(val) [8][980/6282] eta: 0:04:39 time: 0.0527 data_time: 0.0039 memory: 1670 2022/08/10 20:56:21 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:04:59 time: 0.0567 data_time: 0.0057 memory: 1670 2022/08/10 20:56:22 - mmengine - INFO - Epoch(val) [8][1020/6282] eta: 0:04:56 time: 0.0564 data_time: 0.0041 memory: 1670 2022/08/10 20:56:23 - mmengine - INFO - Epoch(val) [8][1040/6282] eta: 0:04:51 time: 0.0557 data_time: 0.0044 memory: 1677 2022/08/10 20:56:24 - mmengine - INFO - Epoch(val) [8][1060/6282] eta: 0:05:18 time: 0.0610 data_time: 0.0064 memory: 1677 2022/08/10 20:56:25 - mmengine - INFO - Epoch(val) [8][1080/6282] eta: 0:04:57 time: 0.0572 data_time: 0.0047 memory: 1677 2022/08/10 20:56:26 - mmengine - INFO - Epoch(val) [8][1100/6282] eta: 0:05:00 time: 0.0580 data_time: 0.0046 memory: 1677 2022/08/10 20:56:28 - mmengine - INFO - Epoch(val) [8][1120/6282] eta: 0:06:09 time: 0.0715 data_time: 0.0230 memory: 1677 2022/08/10 20:56:30 - mmengine - INFO - Epoch(val) [8][1140/6282] eta: 0:09:57 time: 0.1162 data_time: 0.0649 memory: 1677 2022/08/10 20:56:32 - mmengine - INFO - Epoch(val) [8][1160/6282] eta: 0:08:12 time: 0.0962 data_time: 0.0454 memory: 1677 2022/08/10 20:56:33 - mmengine - INFO - Epoch(val) [8][1180/6282] eta: 0:04:39 time: 0.0548 data_time: 0.0036 memory: 1677 2022/08/10 20:56:35 - mmengine - INFO - Epoch(val) [8][1200/6282] eta: 0:06:11 time: 0.0731 data_time: 0.0044 memory: 1747 2022/08/10 20:56:36 - mmengine - INFO - Epoch(val) [8][1220/6282] eta: 0:05:08 time: 0.0610 data_time: 0.0042 memory: 1677 2022/08/10 20:56:39 - mmengine - INFO - Epoch(val) [8][1240/6282] eta: 0:13:57 time: 0.1661 data_time: 0.0992 memory: 1704 2022/08/10 20:56:42 - mmengine - INFO - Epoch(val) [8][1260/6282] eta: 0:12:17 time: 0.1469 data_time: 0.0813 memory: 1704 2022/08/10 20:56:46 - mmengine - INFO - Epoch(val) [8][1280/6282] eta: 0:15:23 time: 0.1846 data_time: 0.0868 memory: 1704 2022/08/10 20:56:49 - mmengine - INFO - Epoch(val) [8][1300/6282] eta: 0:14:19 time: 0.1726 data_time: 0.1100 memory: 1704 2022/08/10 20:56:54 - mmengine - INFO - Epoch(val) [8][1320/6282] eta: 0:18:48 time: 0.2275 data_time: 0.1623 memory: 1704 2022/08/10 20:56:57 - mmengine - INFO - Epoch(val) [8][1340/6282] eta: 0:11:32 time: 0.1401 data_time: 0.0541 memory: 1704 2022/08/10 20:57:00 - mmengine - INFO - Epoch(val) [8][1360/6282] eta: 0:14:40 time: 0.1789 data_time: 0.1157 memory: 1704 2022/08/10 20:57:03 - mmengine - INFO - Epoch(val) [8][1380/6282] eta: 0:10:56 time: 0.1340 data_time: 0.0720 memory: 1704 2022/08/10 20:57:06 - mmengine - INFO - Epoch(val) [8][1400/6282] eta: 0:13:05 time: 0.1609 data_time: 0.0823 memory: 1704 2022/08/10 20:57:08 - mmengine - INFO - Epoch(val) [8][1420/6282] eta: 0:08:37 time: 0.1065 data_time: 0.0435 memory: 1704 2022/08/10 20:57:10 - mmengine - INFO - Epoch(val) [8][1440/6282] eta: 0:07:14 time: 0.0897 data_time: 0.0233 memory: 1715 2022/08/10 20:57:12 - mmengine - INFO - Epoch(val) [8][1460/6282] eta: 0:06:09 time: 0.0765 data_time: 0.0043 memory: 1873 2022/08/10 20:57:13 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:05:33 time: 0.0695 data_time: 0.0042 memory: 1807 2022/08/10 20:57:15 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:05:44 time: 0.0721 data_time: 0.0043 memory: 1807 2022/08/10 20:57:16 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:05:26 time: 0.0686 data_time: 0.0049 memory: 1798 2022/08/10 20:57:18 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:06:46 time: 0.0858 data_time: 0.0045 memory: 1798 2022/08/10 20:57:20 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:08:23 time: 0.1066 data_time: 0.0050 memory: 1798 2022/08/10 20:57:21 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:06:16 time: 0.0800 data_time: 0.0044 memory: 1798 2022/08/10 20:57:23 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:06:32 time: 0.0837 data_time: 0.0047 memory: 1798 2022/08/10 20:57:25 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:06:28 time: 0.0833 data_time: 0.0054 memory: 1798 2022/08/10 20:57:26 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:05:48 time: 0.0750 data_time: 0.0043 memory: 1840 2022/08/10 20:57:28 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:05:25 time: 0.0704 data_time: 0.0052 memory: 1704 2022/08/10 20:57:29 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:05:12 time: 0.0678 data_time: 0.0049 memory: 1704 2022/08/10 20:57:31 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:05:36 time: 0.0735 data_time: 0.0042 memory: 1939 2022/08/10 20:57:32 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:05:45 time: 0.0758 data_time: 0.0046 memory: 1973 2022/08/10 20:57:33 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:04:58 time: 0.0658 data_time: 0.0035 memory: 1704 2022/08/10 20:57:35 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:07:20 time: 0.0975 data_time: 0.0045 memory: 1704 2022/08/10 20:57:37 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:05:35 time: 0.0746 data_time: 0.0043 memory: 1704 2022/08/10 20:57:39 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:08:02 time: 0.1076 data_time: 0.0454 memory: 1807 2022/08/10 20:57:41 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:06:03 time: 0.0814 data_time: 0.0132 memory: 1774 2022/08/10 20:57:42 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:05:11 time: 0.0700 data_time: 0.0035 memory: 1704 2022/08/10 20:57:45 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:10:41 time: 0.1452 data_time: 0.0726 memory: 1704 2022/08/10 20:57:47 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:08:50 time: 0.1206 data_time: 0.0572 memory: 1704 2022/08/10 20:57:51 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:11:36 time: 0.1589 data_time: 0.0968 memory: 1704 2022/08/10 20:57:53 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:08:57 time: 0.1233 data_time: 0.0525 memory: 1704 2022/08/10 20:57:55 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:08:16 time: 0.1144 data_time: 0.0274 memory: 1704 2022/08/10 20:57:57 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:05:19 time: 0.0739 data_time: 0.0122 memory: 1677 2022/08/10 20:57:58 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:05:10 time: 0.0722 data_time: 0.0258 memory: 1677 2022/08/10 20:57:59 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:04:02 time: 0.0566 data_time: 0.0053 memory: 1677 2022/08/10 20:58:00 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:03:58 time: 0.0559 data_time: 0.0034 memory: 1677 2022/08/10 20:58:02 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:04:18 time: 0.0609 data_time: 0.0041 memory: 1677 2022/08/10 20:58:03 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:04:07 time: 0.0587 data_time: 0.0056 memory: 1677 2022/08/10 20:58:04 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:04:25 time: 0.0632 data_time: 0.0038 memory: 1677 2022/08/10 20:58:05 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:03:58 time: 0.0571 data_time: 0.0047 memory: 1677 2022/08/10 20:58:06 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:03:53 time: 0.0561 data_time: 0.0051 memory: 1677 2022/08/10 20:58:08 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:03:50 time: 0.0556 data_time: 0.0040 memory: 1697 2022/08/10 20:58:09 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:04:01 time: 0.0586 data_time: 0.0047 memory: 1677 2022/08/10 20:58:10 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:03:56 time: 0.0576 data_time: 0.0044 memory: 1677 2022/08/10 20:58:11 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:04:24 time: 0.0648 data_time: 0.0047 memory: 1677 2022/08/10 20:58:12 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:03:41 time: 0.0546 data_time: 0.0039 memory: 1677 2022/08/10 20:58:14 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:05:39 time: 0.0839 data_time: 0.0273 memory: 1677 2022/08/10 20:58:16 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:05:03 time: 0.0756 data_time: 0.0231 memory: 1677 2022/08/10 20:58:17 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:03:45 time: 0.0563 data_time: 0.0045 memory: 1698 2022/08/10 20:58:18 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:03:27 time: 0.0520 data_time: 0.0034 memory: 1677 2022/08/10 20:58:19 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:03:53 time: 0.0590 data_time: 0.0048 memory: 1677 2022/08/10 20:58:20 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:04:49 time: 0.0733 data_time: 0.0200 memory: 1677 2022/08/10 20:58:22 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:03:56 time: 0.0604 data_time: 0.0051 memory: 1677 2022/08/10 20:58:23 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:03:56 time: 0.0606 data_time: 0.0040 memory: 1677 2022/08/10 20:58:24 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:05:19 time: 0.0823 data_time: 0.0121 memory: 1677 2022/08/10 20:58:26 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:03:46 time: 0.0588 data_time: 0.0050 memory: 1677 2022/08/10 20:58:27 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:04:03 time: 0.0633 data_time: 0.0053 memory: 1677 2022/08/10 20:58:28 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:04:56 time: 0.0776 data_time: 0.0116 memory: 1704 2022/08/10 20:58:30 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:05:31 time: 0.0871 data_time: 0.0163 memory: 1704 2022/08/10 20:58:32 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:05:22 time: 0.0854 data_time: 0.0169 memory: 1704 2022/08/10 20:58:34 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:05:35 time: 0.0892 data_time: 0.0181 memory: 1774 2022/08/10 20:58:36 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:07:49 time: 0.1254 data_time: 0.0268 memory: 1939 2022/08/10 20:58:39 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:09:06 time: 0.1469 data_time: 0.0823 memory: 1704 2022/08/10 20:58:43 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:11:52 time: 0.1925 data_time: 0.1242 memory: 1704 2022/08/10 20:58:46 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:09:40 time: 0.1576 data_time: 0.0885 memory: 1715 2022/08/10 20:58:50 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:10:17 time: 0.1686 data_time: 0.1013 memory: 1704 2022/08/10 20:58:52 - mmengine - INFO - Epoch(val) [8][2640/6282] eta: 0:08:49 time: 0.1453 data_time: 0.0801 memory: 1704 2022/08/10 20:58:55 - mmengine - INFO - Epoch(val) [8][2660/6282] eta: 0:08:07 time: 0.1347 data_time: 0.0041 memory: 1788 2022/08/10 20:58:57 - mmengine - INFO - Epoch(val) [8][2680/6282] eta: 0:05:07 time: 0.0853 data_time: 0.0054 memory: 1788 2022/08/10 20:58:59 - mmengine - INFO - Epoch(val) [8][2700/6282] eta: 0:05:10 time: 0.0867 data_time: 0.0095 memory: 1788 2022/08/10 20:59:00 - mmengine - INFO - Epoch(val) [8][2720/6282] eta: 0:05:03 time: 0.0852 data_time: 0.0059 memory: 1788 2022/08/10 20:59:02 - mmengine - INFO - Epoch(val) [8][2740/6282] eta: 0:04:53 time: 0.0830 data_time: 0.0047 memory: 1797 2022/08/10 20:59:03 - mmengine - INFO - Epoch(val) [8][2760/6282] eta: 0:03:19 time: 0.0565 data_time: 0.0043 memory: 1677 2022/08/10 20:59:05 - mmengine - INFO - Epoch(val) [8][2780/6282] eta: 0:04:30 time: 0.0774 data_time: 0.0036 memory: 1677 2022/08/10 20:59:06 - mmengine - INFO - Epoch(val) [8][2800/6282] eta: 0:03:19 time: 0.0572 data_time: 0.0041 memory: 1631 2022/08/10 20:59:09 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:08:20 time: 0.1445 data_time: 0.0932 memory: 1677 2022/08/10 20:59:11 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:06:03 time: 0.1056 data_time: 0.0527 memory: 1631 2022/08/10 20:59:13 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:04:44 time: 0.0831 data_time: 0.0226 memory: 1704 2022/08/10 20:59:14 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:04:07 time: 0.0726 data_time: 0.0060 memory: 1704 2022/08/10 20:59:15 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:04:09 time: 0.0737 data_time: 0.0049 memory: 1704 2022/08/10 20:59:17 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:03:34 time: 0.0638 data_time: 0.0048 memory: 1704 2022/08/10 20:59:18 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:03:24 time: 0.0612 data_time: 0.0041 memory: 1688 2022/08/10 20:59:19 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:03:22 time: 0.0608 data_time: 0.0046 memory: 1688 2022/08/10 20:59:20 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:03:21 time: 0.0610 data_time: 0.0038 memory: 1688 2022/08/10 20:59:22 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:03:21 time: 0.0613 data_time: 0.0043 memory: 1688 2022/08/10 20:59:23 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:03:27 time: 0.0637 data_time: 0.0040 memory: 1704 2022/08/10 20:59:24 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:03:54 time: 0.0723 data_time: 0.0046 memory: 1715 2022/08/10 20:59:26 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:03:40 time: 0.0685 data_time: 0.0039 memory: 1774 2022/08/10 20:59:27 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:03:36 time: 0.0675 data_time: 0.0045 memory: 1704 2022/08/10 20:59:28 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:03:35 time: 0.0678 data_time: 0.0051 memory: 1704 2022/08/10 20:59:30 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:03:02 time: 0.0576 data_time: 0.0048 memory: 1677 2022/08/10 20:59:31 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:02:58 time: 0.0569 data_time: 0.0053 memory: 1677 2022/08/10 20:59:32 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:03:00 time: 0.0577 data_time: 0.0043 memory: 1677 2022/08/10 20:59:33 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:03:08 time: 0.0609 data_time: 0.0051 memory: 1677 2022/08/10 20:59:35 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:05:16 time: 0.1026 data_time: 0.0050 memory: 1704 2022/08/10 20:59:37 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:03:43 time: 0.0728 data_time: 0.0062 memory: 1704 2022/08/10 20:59:39 - mmengine - INFO - Epoch(val) [8][3240/6282] eta: 0:07:05 time: 0.1399 data_time: 0.0799 memory: 1704 2022/08/10 20:59:41 - mmengine - INFO - Epoch(val) [8][3260/6282] eta: 0:04:42 time: 0.0935 data_time: 0.0346 memory: 1704 2022/08/10 20:59:43 - mmengine - INFO - Epoch(val) [8][3280/6282] eta: 0:04:44 time: 0.0948 data_time: 0.0287 memory: 1704 2022/08/10 20:59:45 - mmengine - INFO - Epoch(val) [8][3300/6282] eta: 0:04:28 time: 0.0899 data_time: 0.0191 memory: 1695 2022/08/10 20:59:46 - mmengine - INFO - Epoch(val) [8][3320/6282] eta: 0:03:29 time: 0.0707 data_time: 0.0041 memory: 1704 2022/08/10 20:59:48 - mmengine - INFO - Epoch(val) [8][3340/6282] eta: 0:03:45 time: 0.0767 data_time: 0.0059 memory: 1715 2022/08/10 20:59:50 - mmengine - INFO - Epoch(val) [8][3360/6282] eta: 0:03:43 time: 0.0765 data_time: 0.0097 memory: 1704 2022/08/10 20:59:51 - mmengine - INFO - Epoch(val) [8][3380/6282] eta: 0:03:09 time: 0.0653 data_time: 0.0033 memory: 1704 2022/08/10 20:59:52 - mmengine - INFO - Epoch(val) [8][3400/6282] eta: 0:03:26 time: 0.0715 data_time: 0.0180 memory: 1722 2022/08/10 20:59:53 - mmengine - INFO - Epoch(val) [8][3420/6282] eta: 0:02:33 time: 0.0537 data_time: 0.0032 memory: 1677 2022/08/10 20:59:55 - mmengine - INFO - Epoch(val) [8][3440/6282] eta: 0:02:55 time: 0.0616 data_time: 0.0042 memory: 1677 2022/08/10 20:59:56 - mmengine - INFO - Epoch(val) [8][3460/6282] eta: 0:02:56 time: 0.0624 data_time: 0.0039 memory: 1677 2022/08/10 20:59:57 - mmengine - INFO - Epoch(val) [8][3480/6282] eta: 0:02:52 time: 0.0615 data_time: 0.0039 memory: 1722 2022/08/10 20:59:58 - mmengine - INFO - Epoch(val) [8][3500/6282] eta: 0:02:32 time: 0.0550 data_time: 0.0035 memory: 1677 2022/08/10 20:59:59 - mmengine - INFO - Epoch(val) [8][3520/6282] eta: 0:02:29 time: 0.0542 data_time: 0.0041 memory: 1677 2022/08/10 21:00:00 - mmengine - INFO - Epoch(val) [8][3540/6282] eta: 0:02:38 time: 0.0577 data_time: 0.0042 memory: 1677 2022/08/10 21:00:02 - mmengine - INFO - Epoch(val) [8][3560/6282] eta: 0:02:35 time: 0.0571 data_time: 0.0040 memory: 1677 2022/08/10 21:00:03 - mmengine - INFO - Epoch(val) [8][3580/6282] eta: 0:02:34 time: 0.0572 data_time: 0.0038 memory: 1696 2022/08/10 21:00:04 - mmengine - INFO - Epoch(val) [8][3600/6282] eta: 0:02:59 time: 0.0668 data_time: 0.0047 memory: 1696 2022/08/10 21:00:06 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:03:14 time: 0.0733 data_time: 0.0045 memory: 1845 2022/08/10 21:00:07 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:03:00 time: 0.0682 data_time: 0.0047 memory: 1696 2022/08/10 21:00:08 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:53 time: 0.0662 data_time: 0.0046 memory: 1696 2022/08/10 21:00:10 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:03:05 time: 0.0712 data_time: 0.0053 memory: 1704 2022/08/10 21:00:11 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:03:39 time: 0.0848 data_time: 0.0211 memory: 1704 2022/08/10 21:00:13 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:03:41 time: 0.0864 data_time: 0.0181 memory: 1704 2022/08/10 21:00:15 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:04:00 time: 0.0947 data_time: 0.0150 memory: 1704 2022/08/10 21:00:17 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:03:32 time: 0.0841 data_time: 0.0179 memory: 1704 2022/08/10 21:00:19 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:04:10 time: 0.1000 data_time: 0.0327 memory: 1704 2022/08/10 21:00:20 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:03:36 time: 0.0871 data_time: 0.0209 memory: 1704 2022/08/10 21:00:22 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:03:59 time: 0.0972 data_time: 0.0276 memory: 1704 2022/08/10 21:00:24 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:03:30 time: 0.0861 data_time: 0.0178 memory: 1704 2022/08/10 21:00:26 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:02:53 time: 0.0718 data_time: 0.0055 memory: 1704 2022/08/10 21:00:27 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:03:26 time: 0.0858 data_time: 0.0190 memory: 1704 2022/08/10 21:00:29 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:02:57 time: 0.0744 data_time: 0.0090 memory: 1704 2022/08/10 21:00:31 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:03:22 time: 0.0857 data_time: 0.0238 memory: 1704 2022/08/10 21:00:32 - mmengine - INFO - Epoch(val) [8][3940/6282] eta: 0:03:01 time: 0.0774 data_time: 0.0156 memory: 1704 2022/08/10 21:00:34 - mmengine - INFO - Epoch(val) [8][3960/6282] eta: 0:03:00 time: 0.0779 data_time: 0.0086 memory: 1715 2022/08/10 21:00:35 - mmengine - INFO - Epoch(val) [8][3980/6282] eta: 0:03:06 time: 0.0809 data_time: 0.0056 memory: 1715 2022/08/10 21:00:37 - mmengine - INFO - Epoch(val) [8][4000/6282] eta: 0:02:35 time: 0.0681 data_time: 0.0036 memory: 1715 2022/08/10 21:00:38 - mmengine - INFO - Epoch(val) [8][4020/6282] eta: 0:02:32 time: 0.0673 data_time: 0.0038 memory: 1704 2022/08/10 21:00:39 - mmengine - INFO - Epoch(val) [8][4040/6282] eta: 0:02:41 time: 0.0720 data_time: 0.0046 memory: 1788 2022/08/10 21:00:41 - mmengine - INFO - Epoch(val) [8][4060/6282] eta: 0:03:02 time: 0.0821 data_time: 0.0053 memory: 1788 2022/08/10 21:00:43 - mmengine - INFO - Epoch(val) [8][4080/6282] eta: 0:02:58 time: 0.0809 data_time: 0.0045 memory: 1788 2022/08/10 21:00:45 - mmengine - INFO - Epoch(val) [8][4100/6282] eta: 0:03:43 time: 0.1026 data_time: 0.0051 memory: 1788 2022/08/10 21:00:46 - mmengine - INFO - Epoch(val) [8][4120/6282] eta: 0:02:54 time: 0.0806 data_time: 0.0043 memory: 1788 2022/08/10 21:00:48 - mmengine - INFO - Epoch(val) [8][4140/6282] eta: 0:02:29 time: 0.0698 data_time: 0.0045 memory: 1788 2022/08/10 21:00:49 - mmengine - INFO - Epoch(val) [8][4160/6282] eta: 0:01:58 time: 0.0561 data_time: 0.0036 memory: 1677 2022/08/10 21:00:50 - mmengine - INFO - Epoch(val) [8][4180/6282] eta: 0:01:50 time: 0.0526 data_time: 0.0043 memory: 1677 2022/08/10 21:00:51 - mmengine - INFO - Epoch(val) [8][4200/6282] eta: 0:01:53 time: 0.0545 data_time: 0.0044 memory: 1677 2022/08/10 21:00:52 - mmengine - INFO - Epoch(val) [8][4220/6282] eta: 0:01:52 time: 0.0546 data_time: 0.0034 memory: 1677 2022/08/10 21:00:53 - mmengine - INFO - Epoch(val) [8][4240/6282] eta: 0:01:56 time: 0.0572 data_time: 0.0042 memory: 1677 2022/08/10 21:00:55 - mmengine - INFO - Epoch(val) [8][4260/6282] eta: 0:03:07 time: 0.0928 data_time: 0.0082 memory: 1677 2022/08/10 21:00:56 - mmengine - INFO - Epoch(val) [8][4280/6282] eta: 0:01:50 time: 0.0554 data_time: 0.0053 memory: 1677 2022/08/10 21:00:57 - mmengine - INFO - Epoch(val) [8][4300/6282] eta: 0:01:53 time: 0.0571 data_time: 0.0050 memory: 1677 2022/08/10 21:00:59 - mmengine - INFO - Epoch(val) [8][4320/6282] eta: 0:01:50 time: 0.0563 data_time: 0.0043 memory: 1677 2022/08/10 21:01:00 - mmengine - INFO - Epoch(val) [8][4340/6282] eta: 0:01:50 time: 0.0568 data_time: 0.0036 memory: 1677 2022/08/10 21:01:01 - mmengine - INFO - Epoch(val) [8][4360/6282] eta: 0:02:03 time: 0.0642 data_time: 0.0040 memory: 1704 2022/08/10 21:01:02 - mmengine - INFO - Epoch(val) [8][4380/6282] eta: 0:02:01 time: 0.0638 data_time: 0.0044 memory: 1704 2022/08/10 21:01:04 - mmengine - INFO - Epoch(val) [8][4400/6282] eta: 0:01:55 time: 0.0616 data_time: 0.0043 memory: 1704 2022/08/10 21:01:05 - mmengine - INFO - Epoch(val) [8][4420/6282] eta: 0:02:14 time: 0.0722 data_time: 0.0160 memory: 1704 2022/08/10 21:01:08 - mmengine - INFO - Epoch(val) [8][4440/6282] eta: 0:03:50 time: 0.1249 data_time: 0.0393 memory: 1707 2022/08/10 21:01:09 - mmengine - INFO - Epoch(val) [8][4460/6282] eta: 0:02:01 time: 0.0666 data_time: 0.0045 memory: 1707 2022/08/10 21:01:10 - mmengine - INFO - Epoch(val) [8][4480/6282] eta: 0:01:56 time: 0.0646 data_time: 0.0040 memory: 1707 2022/08/10 21:01:12 - mmengine - INFO - Epoch(val) [8][4500/6282] eta: 0:02:02 time: 0.0688 data_time: 0.0038 memory: 1707 2022/08/10 21:01:13 - mmengine - INFO - Epoch(val) [8][4520/6282] eta: 0:01:58 time: 0.0671 data_time: 0.0046 memory: 1724 2022/08/10 21:01:14 - mmengine - INFO - Epoch(val) [8][4540/6282] eta: 0:01:37 time: 0.0560 data_time: 0.0034 memory: 1724 2022/08/10 21:01:15 - mmengine - INFO - Epoch(val) [8][4560/6282] eta: 0:02:00 time: 0.0700 data_time: 0.0093 memory: 1679 2022/08/10 21:01:17 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:41 time: 0.0599 data_time: 0.0055 memory: 1679 2022/08/10 21:01:18 - mmengine - INFO - Epoch(val) [8][4600/6282] eta: 0:01:32 time: 0.0549 data_time: 0.0037 memory: 1679 2022/08/10 21:01:19 - mmengine - INFO - Epoch(val) [8][4620/6282] eta: 0:01:36 time: 0.0579 data_time: 0.0040 memory: 1679 2022/08/10 21:01:20 - mmengine - INFO - Epoch(val) [8][4640/6282] eta: 0:01:52 time: 0.0684 data_time: 0.0042 memory: 1707 2022/08/10 21:01:22 - mmengine - INFO - Epoch(val) [8][4660/6282] eta: 0:01:52 time: 0.0693 data_time: 0.0046 memory: 1707 2022/08/10 21:01:24 - mmengine - INFO - Epoch(val) [8][4680/6282] eta: 0:02:32 time: 0.0952 data_time: 0.0049 memory: 1707 2022/08/10 21:01:25 - mmengine - INFO - Epoch(val) [8][4700/6282] eta: 0:01:46 time: 0.0675 data_time: 0.0052 memory: 1707 2022/08/10 21:01:26 - mmengine - INFO - Epoch(val) [8][4720/6282] eta: 0:01:43 time: 0.0665 data_time: 0.0038 memory: 1707 2022/08/10 21:01:27 - mmengine - INFO - Epoch(val) [8][4740/6282] eta: 0:01:29 time: 0.0577 data_time: 0.0034 memory: 1688 2022/08/10 21:01:29 - mmengine - INFO - Epoch(val) [8][4760/6282] eta: 0:01:34 time: 0.0620 data_time: 0.0034 memory: 1729 2022/08/10 21:01:30 - mmengine - INFO - Epoch(val) [8][4780/6282] eta: 0:01:24 time: 0.0562 data_time: 0.0039 memory: 1688 2022/08/10 21:01:31 - mmengine - INFO - Epoch(val) [8][4800/6282] eta: 0:01:31 time: 0.0619 data_time: 0.0034 memory: 1688 2022/08/10 21:01:32 - mmengine - INFO - Epoch(val) [8][4820/6282] eta: 0:01:31 time: 0.0627 data_time: 0.0046 memory: 1704 2022/08/10 21:01:34 - mmengine - INFO - Epoch(val) [8][4840/6282] eta: 0:01:37 time: 0.0674 data_time: 0.0041 memory: 1704 2022/08/10 21:01:36 - mmengine - INFO - Epoch(val) [8][4860/6282] eta: 0:03:02 time: 0.1284 data_time: 0.0360 memory: 1704 2022/08/10 21:01:38 - mmengine - INFO - Epoch(val) [8][4880/6282] eta: 0:01:59 time: 0.0855 data_time: 0.0261 memory: 1704 2022/08/10 21:01:40 - mmengine - INFO - Epoch(val) [8][4900/6282] eta: 0:02:13 time: 0.0966 data_time: 0.0336 memory: 1704 2022/08/10 21:01:41 - mmengine - INFO - Epoch(val) [8][4920/6282] eta: 0:01:46 time: 0.0783 data_time: 0.0173 memory: 1704 2022/08/10 21:01:43 - mmengine - INFO - Epoch(val) [8][4940/6282] eta: 0:01:33 time: 0.0694 data_time: 0.0039 memory: 1704 2022/08/10 21:01:44 - mmengine - INFO - Epoch(val) [8][4960/6282] eta: 0:01:37 time: 0.0737 data_time: 0.0044 memory: 1704 2022/08/10 21:01:46 - mmengine - INFO - Epoch(val) [8][4980/6282] eta: 0:01:32 time: 0.0713 data_time: 0.0042 memory: 1704 2022/08/10 21:01:48 - mmengine - INFO - Epoch(val) [8][5000/6282] eta: 0:01:56 time: 0.0911 data_time: 0.0057 memory: 1704 2022/08/10 21:01:49 - mmengine - INFO - Epoch(val) [8][5020/6282] eta: 0:01:19 time: 0.0627 data_time: 0.0041 memory: 1704 2022/08/10 21:01:50 - mmengine - INFO - Epoch(val) [8][5040/6282] eta: 0:01:10 time: 0.0567 data_time: 0.0037 memory: 1677 2022/08/10 21:01:51 - mmengine - INFO - Epoch(val) [8][5060/6282] eta: 0:01:12 time: 0.0594 data_time: 0.0043 memory: 1677 2022/08/10 21:01:52 - mmengine - INFO - Epoch(val) [8][5080/6282] eta: 0:01:15 time: 0.0628 data_time: 0.0055 memory: 1723 2022/08/10 21:01:54 - mmengine - INFO - Epoch(val) [8][5100/6282] eta: 0:01:11 time: 0.0606 data_time: 0.0048 memory: 1677 2022/08/10 21:01:55 - mmengine - INFO - Epoch(val) [8][5120/6282] eta: 0:01:26 time: 0.0743 data_time: 0.0081 memory: 1677 2022/08/10 21:01:56 - mmengine - INFO - Epoch(val) [8][5140/6282] eta: 0:01:03 time: 0.0559 data_time: 0.0054 memory: 1677 2022/08/10 21:01:57 - mmengine - INFO - Epoch(val) [8][5160/6282] eta: 0:01:07 time: 0.0605 data_time: 0.0044 memory: 1677 2022/08/10 21:01:59 - mmengine - INFO - Epoch(val) [8][5180/6282] eta: 0:01:04 time: 0.0587 data_time: 0.0048 memory: 1677 2022/08/10 21:02:01 - mmengine - INFO - Epoch(val) [8][5200/6282] eta: 0:02:20 time: 0.1298 data_time: 0.0552 memory: 1677 2022/08/10 21:02:03 - mmengine - INFO - Epoch(val) [8][5220/6282] eta: 0:01:13 time: 0.0695 data_time: 0.0213 memory: 1677 2022/08/10 21:02:04 - mmengine - INFO - Epoch(val) [8][5240/6282] eta: 0:01:01 time: 0.0588 data_time: 0.0059 memory: 1773 2022/08/10 21:02:05 - mmengine - INFO - Epoch(val) [8][5260/6282] eta: 0:01:15 time: 0.0743 data_time: 0.0227 memory: 1677 2022/08/10 21:02:07 - mmengine - INFO - Epoch(val) [8][5280/6282] eta: 0:01:01 time: 0.0618 data_time: 0.0032 memory: 1697 2022/08/10 21:02:08 - mmengine - INFO - Epoch(val) [8][5300/6282] eta: 0:00:57 time: 0.0590 data_time: 0.0032 memory: 1677 2022/08/10 21:02:09 - mmengine - INFO - Epoch(val) [8][5320/6282] eta: 0:00:52 time: 0.0551 data_time: 0.0041 memory: 1677 2022/08/10 21:02:10 - mmengine - INFO - Epoch(val) [8][5340/6282] eta: 0:00:54 time: 0.0578 data_time: 0.0037 memory: 1677 2022/08/10 21:02:11 - mmengine - INFO - Epoch(val) [8][5360/6282] eta: 0:00:51 time: 0.0556 data_time: 0.0036 memory: 1677 2022/08/10 21:02:12 - mmengine - INFO - Epoch(val) [8][5380/6282] eta: 0:00:54 time: 0.0599 data_time: 0.0031 memory: 1747 2022/08/10 21:02:14 - mmengine - INFO - Epoch(val) [8][5400/6282] eta: 0:00:51 time: 0.0582 data_time: 0.0041 memory: 1677 2022/08/10 21:02:15 - mmengine - INFO - Epoch(val) [8][5420/6282] eta: 0:01:17 time: 0.0897 data_time: 0.0043 memory: 1677 2022/08/10 21:02:16 - mmengine - INFO - Epoch(val) [8][5440/6282] eta: 0:00:45 time: 0.0541 data_time: 0.0050 memory: 1677 2022/08/10 21:02:18 - mmengine - INFO - Epoch(val) [8][5460/6282] eta: 0:00:47 time: 0.0572 data_time: 0.0047 memory: 1677 2022/08/10 21:02:19 - mmengine - INFO - Epoch(val) [8][5480/6282] eta: 0:00:47 time: 0.0588 data_time: 0.0047 memory: 1677 2022/08/10 21:02:20 - mmengine - INFO - Epoch(val) [8][5500/6282] eta: 0:00:43 time: 0.0556 data_time: 0.0061 memory: 1677 2022/08/10 21:02:22 - mmengine - INFO - Epoch(val) [8][5520/6282] eta: 0:01:36 time: 0.1272 data_time: 0.0741 memory: 1686 2022/08/10 21:02:24 - mmengine - INFO - Epoch(val) [8][5540/6282] eta: 0:00:54 time: 0.0736 data_time: 0.0178 memory: 1686 2022/08/10 21:02:25 - mmengine - INFO - Epoch(val) [8][5560/6282] eta: 0:00:44 time: 0.0615 data_time: 0.0083 memory: 1686 2022/08/10 21:02:27 - mmengine - INFO - Epoch(val) [8][5580/6282] eta: 0:00:53 time: 0.0765 data_time: 0.0255 memory: 1686 2022/08/10 21:02:28 - mmengine - INFO - Epoch(val) [8][5600/6282] eta: 0:00:37 time: 0.0555 data_time: 0.0030 memory: 1686 2022/08/10 21:02:29 - mmengine - INFO - Epoch(val) [8][5620/6282] eta: 0:00:38 time: 0.0574 data_time: 0.0040 memory: 1686 2022/08/10 21:02:30 - mmengine - INFO - Epoch(val) [8][5640/6282] eta: 0:00:36 time: 0.0561 data_time: 0.0045 memory: 1677 2022/08/10 21:02:31 - mmengine - INFO - Epoch(val) [8][5660/6282] eta: 0:00:34 time: 0.0552 data_time: 0.0038 memory: 1677 2022/08/10 21:02:32 - mmengine - INFO - Epoch(val) [8][5680/6282] eta: 0:00:32 time: 0.0537 data_time: 0.0032 memory: 1677 2022/08/10 21:02:33 - mmengine - INFO - Epoch(val) [8][5700/6282] eta: 0:00:32 time: 0.0553 data_time: 0.0041 memory: 1677 2022/08/10 21:02:35 - mmengine - INFO - Epoch(val) [8][5720/6282] eta: 0:00:35 time: 0.0637 data_time: 0.0064 memory: 1692 2022/08/10 21:02:36 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:45 time: 0.0833 data_time: 0.0037 memory: 1692 2022/08/10 21:02:38 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:32 time: 0.0622 data_time: 0.0038 memory: 1692 2022/08/10 21:02:39 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:29 time: 0.0591 data_time: 0.0034 memory: 1740 2022/08/10 21:02:41 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:59 time: 0.1240 data_time: 0.0699 memory: 1692 2022/08/10 21:02:43 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:50 time: 0.1091 data_time: 0.0547 memory: 1692 2022/08/10 21:02:45 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:32 time: 0.0729 data_time: 0.0203 memory: 1686 2022/08/10 21:02:46 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:26 time: 0.0638 data_time: 0.0093 memory: 1686 2022/08/10 21:02:48 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:33 time: 0.0828 data_time: 0.0040 memory: 1686 2022/08/10 21:02:49 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:23 time: 0.0625 data_time: 0.0052 memory: 1686 2022/08/10 21:02:51 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:27 time: 0.0768 data_time: 0.0193 memory: 1686 2022/08/10 21:02:52 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:18 time: 0.0533 data_time: 0.0030 memory: 1677 2022/08/10 21:02:53 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:18 time: 0.0565 data_time: 0.0034 memory: 1677 2022/08/10 21:02:54 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:16 time: 0.0547 data_time: 0.0049 memory: 1677 2022/08/10 21:02:56 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:21 time: 0.0776 data_time: 0.0096 memory: 1704 2022/08/10 21:02:57 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:19 time: 0.0729 data_time: 0.0055 memory: 1704 2022/08/10 21:02:58 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:16 time: 0.0679 data_time: 0.0054 memory: 1704 2022/08/10 21:03:00 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:22 time: 0.1022 data_time: 0.0166 memory: 1715 2022/08/10 21:03:02 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:00:17 time: 0.0886 data_time: 0.0228 memory: 1715 2022/08/10 21:03:04 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:12 time: 0.0686 data_time: 0.0033 memory: 1873 2022/08/10 21:03:05 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:12 time: 0.0743 data_time: 0.0054 memory: 1704 2022/08/10 21:03:07 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:11 time: 0.0788 data_time: 0.0040 memory: 1840 2022/08/10 21:03:08 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:08 time: 0.0736 data_time: 0.0043 memory: 1840 2022/08/10 21:03:09 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:06 time: 0.0653 data_time: 0.0036 memory: 1704 2022/08/10 21:03:11 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:04 time: 0.0601 data_time: 0.0031 memory: 1704 2022/08/10 21:03:12 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:04 time: 0.0805 data_time: 0.0034 memory: 1704 2022/08/10 21:03:13 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:02 time: 0.0604 data_time: 0.0035 memory: 1704 2022/08/10 21:03:15 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:01 time: 0.0659 data_time: 0.0028 memory: 1704 2022/08/10 21:03:16 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0650 data_time: 0.0029 memory: 1704 2022/08/10 21:07:57 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.2760 2022/08/10 21:07:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_8.pth is removed 2022/08/10 21:08:03 - mmengine - INFO - The best checkpoint with 0.2760 mAP/mAP@0.5IOU at 9 epoch is saved to best_mAP/mAP@0.5IOU_epoch_9.pth. 2022/08/10 21:08:19 - mmengine - INFO - Epoch(train) [9][20/2881] lr: 1.4553e-02 eta: 1:08:46 time: 0.8162 data_time: 0.1471 memory: 15414 grad_norm: 0.1827 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7333 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.8833 prec@top5: 0.4300 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 21:08:32 - mmengine - INFO - Epoch(train) [9][40/2881] lr: 1.4457e-02 eta: 1:08:31 time: 0.6638 data_time: 0.0226 memory: 15357 grad_norm: 0.1997 recall@thr=0.5: 0.8952 prec@thr=0.5: 0.8817 recall@top3: 0.8790 prec@top3: 0.8172 recall@top5: 0.9785 prec@top5: 0.5613 loss_action_cls: 0.0272 loss: 0.0272 2022/08/10 21:08:46 - mmengine - INFO - Epoch(train) [9][60/2881] lr: 1.4361e-02 eta: 1:08:17 time: 0.7055 data_time: 0.0209 memory: 15318 grad_norm: 0.1937 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8333 recall@top3: 0.8750 prec@top3: 0.7639 recall@top5: 1.0000 prec@top5: 0.5083 loss_action_cls: 0.0259 loss: 0.0259 2022/08/10 21:09:00 - mmengine - INFO - Epoch(train) [9][80/2881] lr: 1.4266e-02 eta: 1:08:02 time: 0.7013 data_time: 0.0249 memory: 15223 grad_norm: 0.1950 recall@thr=0.5: 0.8526 prec@thr=0.5: 0.8372 recall@top3: 0.8558 prec@top3: 0.7179 recall@top5: 0.9615 prec@top5: 0.5000 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 21:09:14 - mmengine - INFO - Epoch(train) [9][100/2881] lr: 1.4171e-02 eta: 1:07:48 time: 0.6670 data_time: 0.0218 memory: 15223 grad_norm: 0.1862 recall@thr=0.5: 0.8864 prec@thr=0.5: 0.9129 recall@top3: 0.9167 prec@top3: 0.7879 recall@top5: 0.9697 prec@top5: 0.5000 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:09:28 - mmengine - INFO - Epoch(train) [9][120/2881] lr: 1.4076e-02 eta: 1:07:33 time: 0.6886 data_time: 0.0224 memory: 15204 grad_norm: 0.2019 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8167 recall@top3: 0.8583 prec@top3: 0.7000 recall@top5: 0.8917 prec@top5: 0.4400 loss_action_cls: 0.0303 loss: 0.0303 2022/08/10 21:09:42 - mmengine - INFO - Epoch(train) [9][140/2881] lr: 1.3981e-02 eta: 1:07:19 time: 0.7025 data_time: 0.0255 memory: 15165 grad_norm: 0.1988 recall@thr=0.5: 0.8009 prec@thr=0.5: 0.8380 recall@top3: 0.9352 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0330 loss: 0.0330 2022/08/10 21:09:55 - mmengine - INFO - Epoch(train) [9][160/2881] lr: 1.3887e-02 eta: 1:07:04 time: 0.6620 data_time: 0.0216 memory: 15567 grad_norm: 0.1944 recall@thr=0.5: 0.8295 prec@thr=0.5: 0.9318 recall@top3: 0.9432 prec@top3: 0.8333 recall@top5: 0.9659 prec@top5: 0.5182 loss_action_cls: 0.0257 loss: 0.0257 2022/08/10 21:10:09 - mmengine - INFO - Epoch(train) [9][180/2881] lr: 1.3793e-02 eta: 1:06:50 time: 0.6983 data_time: 0.0246 memory: 15414 grad_norm: 0.1923 recall@thr=0.5: 0.8393 prec@thr=0.5: 0.8214 recall@top3: 0.9196 prec@top3: 0.7500 recall@top5: 0.9821 prec@top5: 0.4929 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 21:10:23 - mmengine - INFO - Epoch(train) [9][200/2881] lr: 1.3699e-02 eta: 1:06:35 time: 0.6949 data_time: 0.0236 memory: 15395 grad_norm: 0.1943 recall@thr=0.5: 0.8006 prec@thr=0.5: 0.9286 recall@top3: 0.8256 prec@top3: 0.7619 recall@top5: 0.8964 prec@top5: 0.5071 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 21:10:37 - mmengine - INFO - Epoch(train) [9][220/2881] lr: 1.3605e-02 eta: 1:06:21 time: 0.6938 data_time: 0.0218 memory: 15491 grad_norm: 0.1913 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8594 recall@top3: 0.8344 prec@top3: 0.8125 recall@top5: 0.9219 prec@top5: 0.5562 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 21:10:50 - mmengine - INFO - Epoch(train) [9][240/2881] lr: 1.3512e-02 eta: 1:06:06 time: 0.6769 data_time: 0.0230 memory: 15338 grad_norm: 0.1978 recall@thr=0.5: 0.6010 prec@thr=0.5: 0.7451 recall@top3: 0.8245 prec@top3: 0.6863 recall@top5: 0.9490 prec@top5: 0.4941 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 21:11:04 - mmengine - INFO - Epoch(train) [9][260/2881] lr: 1.3419e-02 eta: 1:05:52 time: 0.6920 data_time: 0.0330 memory: 15318 grad_norm: 0.1989 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.7472 recall@top3: 0.7750 prec@top3: 0.7667 recall@top5: 0.8806 prec@top5: 0.5400 loss_action_cls: 0.0279 loss: 0.0279 2022/08/10 21:11:18 - mmengine - INFO - Epoch(train) [9][280/2881] lr: 1.3326e-02 eta: 1:05:37 time: 0.7066 data_time: 0.0197 memory: 15204 grad_norm: 0.1950 recall@thr=0.5: 0.6200 prec@thr=0.5: 0.7133 recall@top3: 0.7667 prec@top3: 0.7200 recall@top5: 0.9200 prec@top5: 0.5280 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 21:11:31 - mmengine - INFO - Epoch(train) [9][300/2881] lr: 1.3233e-02 eta: 1:05:23 time: 0.6582 data_time: 0.0219 memory: 15165 grad_norm: 0.1993 recall@thr=0.5: 0.7809 prec@thr=0.5: 0.8519 recall@top3: 0.7901 prec@top3: 0.7407 recall@top5: 0.9907 prec@top5: 0.5630 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 21:11:45 - mmengine - INFO - Epoch(train) [9][320/2881] lr: 1.3141e-02 eta: 1:05:08 time: 0.6929 data_time: 0.0228 memory: 15300 grad_norm: 0.1934 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8509 recall@top3: 0.9211 prec@top3: 0.7368 recall@top5: 0.9737 prec@top5: 0.4632 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 21:11:59 - mmengine - INFO - Epoch(train) [9][340/2881] lr: 1.3049e-02 eta: 1:04:54 time: 0.7096 data_time: 0.0274 memory: 15452 grad_norm: 0.1968 recall@thr=0.5: 0.8193 prec@thr=0.5: 0.9089 recall@top3: 0.9432 prec@top3: 0.7917 recall@top5: 0.9937 prec@top5: 0.5125 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 21:12:13 - mmengine - INFO - Epoch(train) [9][360/2881] lr: 1.2958e-02 eta: 1:04:39 time: 0.6629 data_time: 0.0206 memory: 15510 grad_norm: 0.1968 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8333 recall@top3: 1.0000 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0306 loss: 0.0306 2022/08/10 21:12:28 - mmengine - INFO - Epoch(train) [9][380/2881] lr: 1.2866e-02 eta: 1:04:25 time: 0.7761 data_time: 0.0220 memory: 15472 grad_norm: 0.1958 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.8056 recall@top3: 0.8819 prec@top3: 0.6528 recall@top5: 0.9236 prec@top5: 0.4083 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 21:12:42 - mmengine - INFO - Epoch(train) [9][400/2881] lr: 1.2775e-02 eta: 1:04:11 time: 0.6843 data_time: 0.0229 memory: 15357 grad_norm: 0.1938 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.8333 recall@top3: 0.8750 prec@top3: 0.6429 recall@top5: 0.9821 prec@top5: 0.4429 loss_action_cls: 0.0279 loss: 0.0279 2022/08/10 21:12:56 - mmengine - INFO - Epoch(train) [9][420/2881] lr: 1.2684e-02 eta: 1:03:56 time: 0.7052 data_time: 0.0233 memory: 15529 grad_norm: 0.1954 recall@thr=0.5: 0.8651 prec@thr=0.5: 0.8730 recall@top3: 1.0000 prec@top3: 0.7302 recall@top5: 1.0000 prec@top5: 0.4381 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 21:13:10 - mmengine - INFO - Epoch(train) [9][440/2881] lr: 1.2594e-02 eta: 1:03:42 time: 0.7085 data_time: 0.0293 memory: 15529 grad_norm: 0.1946 recall@thr=0.5: 0.7742 prec@thr=0.5: 0.8167 recall@top3: 0.8258 prec@top3: 0.7833 recall@top5: 0.8858 prec@top5: 0.5100 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 21:13:24 - mmengine - INFO - Epoch(train) [9][460/2881] lr: 1.2503e-02 eta: 1:03:27 time: 0.6821 data_time: 0.0195 memory: 15338 grad_norm: 0.1947 recall@thr=0.5: 0.7528 prec@thr=0.5: 0.8472 recall@top3: 0.7833 prec@top3: 0.7222 recall@top5: 0.8611 prec@top5: 0.4800 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 21:13:39 - mmengine - INFO - Epoch(train) [9][480/2881] lr: 1.2413e-02 eta: 1:03:13 time: 0.7761 data_time: 0.0242 memory: 15529 grad_norm: 0.1988 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.7500 recall@top3: 0.8058 prec@top3: 0.6667 recall@top5: 0.9458 prec@top5: 0.5100 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:13:53 - mmengine - INFO - Epoch(train) [9][500/2881] lr: 1.2324e-02 eta: 1:02:59 time: 0.6801 data_time: 0.0225 memory: 15491 grad_norm: 0.2048 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8636 recall@top3: 0.7538 prec@top3: 0.7424 recall@top5: 0.8485 prec@top5: 0.5182 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 21:14:07 - mmengine - INFO - Epoch(train) [9][520/2881] lr: 1.2234e-02 eta: 1:02:44 time: 0.6912 data_time: 0.0216 memory: 15548 grad_norm: 0.1966 recall@thr=0.5: 0.7851 prec@thr=0.5: 0.8947 recall@top3: 0.8377 prec@top3: 0.6667 recall@top5: 0.9079 prec@top5: 0.4421 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 21:14:21 - mmengine - INFO - Epoch(train) [9][540/2881] lr: 1.2145e-02 eta: 1:02:30 time: 0.7172 data_time: 0.0287 memory: 15318 grad_norm: 0.1962 recall@thr=0.5: 0.8080 prec@thr=0.5: 0.8733 recall@top3: 0.8627 prec@top3: 0.8667 recall@top5: 0.9553 prec@top5: 0.5840 loss_action_cls: 0.0272 loss: 0.0272 2022/08/10 21:14:35 - mmengine - INFO - Epoch(train) [9][560/2881] lr: 1.2056e-02 eta: 1:02:15 time: 0.6913 data_time: 0.0225 memory: 15395 grad_norm: 0.1991 recall@thr=0.5: 0.8732 prec@thr=0.5: 0.8116 recall@top3: 0.8514 prec@top3: 0.5652 recall@top5: 0.9130 prec@top5: 0.3826 loss_action_cls: 0.0262 loss: 0.0262 2022/08/10 21:14:49 - mmengine - INFO - Epoch(train) [9][580/2881] lr: 1.1967e-02 eta: 1:02:01 time: 0.7319 data_time: 0.0239 memory: 15223 grad_norm: 0.1936 recall@thr=0.5: 0.8631 prec@thr=0.5: 0.8810 recall@top3: 0.9048 prec@top3: 0.5238 recall@top5: 0.9464 prec@top5: 0.3429 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 21:15:04 - mmengine - INFO - Epoch(train) [9][600/2881] lr: 1.1879e-02 eta: 1:01:46 time: 0.7062 data_time: 0.0242 memory: 15491 grad_norm: 0.1931 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.8788 recall@top3: 0.9242 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 21:15:17 - mmengine - INFO - Epoch(train) [9][620/2881] lr: 1.1791e-02 eta: 1:01:32 time: 0.6926 data_time: 0.0238 memory: 15452 grad_norm: 0.1987 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.6731 recall@top3: 0.6218 prec@top3: 0.5385 recall@top5: 0.8462 prec@top5: 0.4462 loss_action_cls: 0.0327 loss: 0.0327 2022/08/10 21:15:32 - mmengine - INFO - Epoch(train) [9][640/2881] lr: 1.1703e-02 eta: 1:01:18 time: 0.7036 data_time: 0.0284 memory: 15452 grad_norm: 0.1947 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8816 recall@top3: 0.8860 prec@top3: 0.7368 recall@top5: 0.9342 prec@top5: 0.4737 loss_action_cls: 0.0274 loss: 0.0274 2022/08/10 21:15:46 - mmengine - INFO - Epoch(train) [9][660/2881] lr: 1.1616e-02 eta: 1:01:03 time: 0.7009 data_time: 0.0217 memory: 15376 grad_norm: 0.1984 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8421 recall@top3: 0.8991 prec@top3: 0.7895 recall@top5: 0.9518 prec@top5: 0.5158 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 21:16:00 - mmengine - INFO - Epoch(train) [9][680/2881] lr: 1.1528e-02 eta: 1:00:49 time: 0.7374 data_time: 0.0278 memory: 15357 grad_norm: 0.1934 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.7976 recall@top3: 0.9206 prec@top3: 0.6508 recall@top5: 0.9841 prec@top5: 0.4190 loss_action_cls: 0.0267 loss: 0.0267 2022/08/10 21:16:14 - mmengine - INFO - Epoch(train) [9][700/2881] lr: 1.1442e-02 eta: 1:00:34 time: 0.6785 data_time: 0.0216 memory: 15300 grad_norm: 0.1940 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.8974 recall@top3: 0.7577 prec@top3: 0.7692 recall@top5: 0.9013 prec@top5: 0.5692 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 21:16:28 - mmengine - INFO - Epoch(train) [9][720/2881] lr: 1.1355e-02 eta: 1:00:20 time: 0.6920 data_time: 0.0215 memory: 15433 grad_norm: 0.2007 recall@thr=0.5: 0.7728 prec@thr=0.5: 0.7895 recall@top3: 0.8342 prec@top3: 0.7018 recall@top5: 0.9737 prec@top5: 0.5158 loss_action_cls: 0.0290 loss: 0.0290 2022/08/10 21:16:42 - mmengine - INFO - Epoch(train) [9][740/2881] lr: 1.1269e-02 eta: 1:00:05 time: 0.6934 data_time: 0.0237 memory: 15280 grad_norm: 0.2010 recall@thr=0.5: 0.7374 prec@thr=0.5: 0.8448 recall@top3: 0.8287 prec@top3: 0.7011 recall@top5: 0.9626 prec@top5: 0.5241 loss_action_cls: 0.0266 loss: 0.0266 2022/08/10 21:16:57 - mmengine - INFO - Epoch(train) [9][760/2881] lr: 1.1182e-02 eta: 0:59:51 time: 0.7490 data_time: 0.0220 memory: 15395 grad_norm: 0.1988 recall@thr=0.5: 0.6772 prec@thr=0.5: 0.8920 recall@top3: 0.7636 prec@top3: 0.6420 recall@top5: 0.8802 prec@top5: 0.4593 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 21:17:10 - mmengine - INFO - Epoch(train) [9][780/2881] lr: 1.1097e-02 eta: 0:59:37 time: 0.6844 data_time: 0.0233 memory: 15261 grad_norm: 0.2092 recall@thr=0.5: 0.9352 prec@thr=0.5: 0.9398 recall@top3: 0.9722 prec@top3: 0.7593 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 21:17:24 - mmengine - INFO - Epoch(train) [9][800/2881] lr: 1.1011e-02 eta: 0:59:22 time: 0.7068 data_time: 0.0223 memory: 15376 grad_norm: 0.1986 recall@thr=0.5: 0.8121 prec@thr=0.5: 0.8795 recall@top3: 0.8121 prec@top3: 0.8333 recall@top5: 0.9591 prec@top5: 0.6273 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 21:17:38 - mmengine - INFO - Epoch(train) [9][820/2881] lr: 1.0926e-02 eta: 0:59:08 time: 0.6976 data_time: 0.0251 memory: 15663 grad_norm: 0.1943 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.9444 recall@top3: 0.9815 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0277 loss: 0.0277 2022/08/10 21:17:53 - mmengine - INFO - Epoch(train) [9][840/2881] lr: 1.0841e-02 eta: 0:58:54 time: 0.7565 data_time: 0.0234 memory: 15452 grad_norm: 0.1992 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8194 recall@top3: 0.8889 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 21:18:07 - mmengine - INFO - Epoch(train) [9][860/2881] lr: 1.0757e-02 eta: 0:58:39 time: 0.6984 data_time: 0.0237 memory: 15414 grad_norm: 0.2054 recall@thr=0.5: 0.8324 prec@thr=0.5: 0.9118 recall@top3: 0.8716 prec@top3: 0.8235 recall@top5: 0.9598 prec@top5: 0.5588 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 21:18:22 - mmengine - INFO - Epoch(train) [9][880/2881] lr: 1.0672e-02 eta: 0:58:25 time: 0.7050 data_time: 0.0232 memory: 15414 grad_norm: 0.1962 recall@thr=0.5: 0.7071 prec@thr=0.5: 0.7460 recall@top3: 0.7929 prec@top3: 0.6984 recall@top5: 0.9270 prec@top5: 0.5048 loss_action_cls: 0.0340 loss: 0.0340 2022/08/10 21:18:36 - mmengine - INFO - Epoch(train) [9][900/2881] lr: 1.0588e-02 eta: 0:58:10 time: 0.7156 data_time: 0.0267 memory: 15223 grad_norm: 0.1921 recall@thr=0.5: 0.9074 prec@thr=0.5: 0.8889 recall@top3: 0.9198 prec@top3: 0.7407 recall@top5: 0.9691 prec@top5: 0.4815 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 21:18:50 - mmengine - INFO - Epoch(train) [9][920/2881] lr: 1.0504e-02 eta: 0:57:56 time: 0.7093 data_time: 0.0264 memory: 15395 grad_norm: 0.1951 recall@thr=0.5: 0.7322 prec@thr=0.5: 0.8333 recall@top3: 0.8195 prec@top3: 0.6897 recall@top5: 0.9069 prec@top5: 0.4621 loss_action_cls: 0.0323 loss: 0.0323 2022/08/10 21:19:03 - mmengine - INFO - Epoch(train) [9][940/2881] lr: 1.0421e-02 eta: 0:57:41 time: 0.6657 data_time: 0.0221 memory: 15357 grad_norm: 0.1991 recall@thr=0.5: 0.8651 prec@thr=0.5: 0.9190 recall@top3: 0.9325 prec@top3: 0.7937 recall@top5: 1.0000 prec@top5: 0.5238 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 21:19:11 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 21:19:17 - mmengine - INFO - Epoch(train) [9][960/2881] lr: 1.0338e-02 eta: 0:57:27 time: 0.6675 data_time: 0.0238 memory: 15414 grad_norm: 0.1968 recall@thr=0.5: 0.8287 prec@thr=0.5: 0.9537 recall@top3: 0.9444 prec@top3: 0.8519 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0279 loss: 0.0279 2022/08/10 21:19:32 - mmengine - INFO - Epoch(train) [9][980/2881] lr: 1.0255e-02 eta: 0:57:13 time: 0.7559 data_time: 0.0246 memory: 15223 grad_norm: 0.1966 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8298 recall@top3: 0.7947 prec@top3: 0.7018 recall@top5: 0.9421 prec@top5: 0.5368 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 21:19:46 - mmengine - INFO - Epoch(train) [9][1000/2881] lr: 1.0172e-02 eta: 0:56:58 time: 0.6845 data_time: 0.0213 memory: 15184 grad_norm: 0.1933 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.8772 recall@top3: 0.7474 prec@top3: 0.6316 recall@top5: 0.9263 prec@top5: 0.4842 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 21:20:00 - mmengine - INFO - Epoch(train) [9][1020/2881] lr: 1.0090e-02 eta: 0:56:44 time: 0.7054 data_time: 0.0220 memory: 15261 grad_norm: 0.1928 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7353 recall@top3: 0.7843 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 21:20:14 - mmengine - INFO - Epoch(train) [9][1040/2881] lr: 1.0008e-02 eta: 0:56:29 time: 0.7358 data_time: 0.0255 memory: 15529 grad_norm: 0.1919 recall@thr=0.5: 0.7990 prec@thr=0.5: 0.8824 recall@top3: 0.8529 prec@top3: 0.5686 recall@top5: 0.8971 prec@top5: 0.3765 loss_action_cls: 0.0279 loss: 0.0279 2022/08/10 21:20:29 - mmengine - INFO - Epoch(train) [9][1060/2881] lr: 9.9266e-03 eta: 0:56:15 time: 0.7202 data_time: 0.0224 memory: 15395 grad_norm: 0.1946 recall@thr=0.5: 0.8570 prec@thr=0.5: 0.8871 recall@top3: 0.8409 prec@top3: 0.7742 recall@top5: 0.9710 prec@top5: 0.5613 loss_action_cls: 0.0267 loss: 0.0267 2022/08/10 21:20:43 - mmengine - INFO - Epoch(train) [9][1080/2881] lr: 9.8452e-03 eta: 0:56:01 time: 0.6997 data_time: 0.0219 memory: 15414 grad_norm: 0.2002 recall@thr=0.5: 0.8200 prec@thr=0.5: 0.8807 recall@top3: 0.8800 prec@top3: 0.8400 recall@top5: 0.9800 prec@top5: 0.5760 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 21:20:57 - mmengine - INFO - Epoch(train) [9][1100/2881] lr: 9.7641e-03 eta: 0:55:46 time: 0.7132 data_time: 0.0226 memory: 15472 grad_norm: 0.1966 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.7465 recall@top3: 0.8014 prec@top3: 0.6806 recall@top5: 0.9111 prec@top5: 0.4833 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 21:21:11 - mmengine - INFO - Epoch(train) [9][1120/2881] lr: 9.6834e-03 eta: 0:55:32 time: 0.7167 data_time: 0.0231 memory: 15300 grad_norm: 0.1938 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.8596 recall@top3: 0.9649 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.3789 loss_action_cls: 0.0302 loss: 0.0302 2022/08/10 21:21:25 - mmengine - INFO - Epoch(train) [9][1140/2881] lr: 9.6029e-03 eta: 0:55:17 time: 0.6823 data_time: 0.0220 memory: 15586 grad_norm: 0.2029 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7976 recall@top3: 0.8135 prec@top3: 0.7619 recall@top5: 0.9325 prec@top5: 0.5429 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 21:21:39 - mmengine - INFO - Epoch(train) [9][1160/2881] lr: 9.5227e-03 eta: 0:55:03 time: 0.6938 data_time: 0.0259 memory: 15261 grad_norm: 0.2033 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9111 recall@top3: 0.9222 prec@top3: 0.6000 recall@top5: 0.9778 prec@top5: 0.3867 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 21:21:53 - mmengine - INFO - Epoch(train) [9][1180/2881] lr: 9.4429e-03 eta: 0:54:49 time: 0.7198 data_time: 0.0295 memory: 15357 grad_norm: 0.2028 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8269 recall@top3: 0.8077 prec@top3: 0.6282 recall@top5: 0.9103 prec@top5: 0.4385 loss_action_cls: 0.0277 loss: 0.0277 2022/08/10 21:22:07 - mmengine - INFO - Epoch(train) [9][1200/2881] lr: 9.3633e-03 eta: 0:54:34 time: 0.6838 data_time: 0.0221 memory: 15357 grad_norm: 0.1978 recall@thr=0.5: 0.7125 prec@thr=0.5: 0.8667 recall@top3: 0.8750 prec@top3: 0.8167 recall@top5: 0.9875 prec@top5: 0.5600 loss_action_cls: 0.0316 loss: 0.0316 2022/08/10 21:22:21 - mmengine - INFO - Epoch(train) [9][1220/2881] lr: 9.2840e-03 eta: 0:54:20 time: 0.7140 data_time: 0.0235 memory: 15338 grad_norm: 0.1958 recall@thr=0.5: 0.8944 prec@thr=0.5: 0.8148 recall@top3: 0.9130 prec@top3: 0.5926 recall@top5: 0.9889 prec@top5: 0.4000 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 21:22:35 - mmengine - INFO - Epoch(train) [9][1240/2881] lr: 9.2051e-03 eta: 0:54:05 time: 0.6982 data_time: 0.0234 memory: 15491 grad_norm: 0.1934 recall@thr=0.5: 0.8292 prec@thr=0.5: 0.8896 recall@top3: 0.8986 prec@top3: 0.7917 recall@top5: 0.9625 prec@top5: 0.5333 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 21:22:49 - mmengine - INFO - Epoch(train) [9][1260/2881] lr: 9.1264e-03 eta: 0:53:51 time: 0.6879 data_time: 0.0225 memory: 15414 grad_norm: 0.2027 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8974 recall@top3: 0.8718 prec@top3: 0.6410 recall@top5: 0.9103 prec@top5: 0.4154 loss_action_cls: 0.0318 loss: 0.0318 2022/08/10 21:23:03 - mmengine - INFO - Epoch(train) [9][1280/2881] lr: 9.0480e-03 eta: 0:53:36 time: 0.6945 data_time: 0.0248 memory: 15261 grad_norm: 0.2020 recall@thr=0.5: 0.6954 prec@thr=0.5: 0.8391 recall@top3: 0.8592 prec@top3: 0.7586 recall@top5: 0.9425 prec@top5: 0.5103 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 21:23:18 - mmengine - INFO - Epoch(train) [9][1300/2881] lr: 8.9700e-03 eta: 0:53:22 time: 0.7335 data_time: 0.0242 memory: 15376 grad_norm: 0.1964 recall@thr=0.5: 0.7408 prec@thr=0.5: 0.9083 recall@top3: 0.8725 prec@top3: 0.8167 recall@top5: 0.9550 prec@top5: 0.5500 loss_action_cls: 0.0319 loss: 0.0319 2022/08/10 21:23:31 - mmengine - INFO - Epoch(train) [9][1320/2881] lr: 8.8922e-03 eta: 0:53:08 time: 0.6823 data_time: 0.0221 memory: 15510 grad_norm: 0.1927 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8640 recall@top3: 0.8816 prec@top3: 0.7719 recall@top5: 0.9759 prec@top5: 0.5263 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 21:23:45 - mmengine - INFO - Epoch(train) [9][1340/2881] lr: 8.8148e-03 eta: 0:52:53 time: 0.6935 data_time: 0.0221 memory: 15548 grad_norm: 0.1930 recall@thr=0.5: 0.7731 prec@thr=0.5: 0.9145 recall@top3: 0.8308 prec@top3: 0.8632 recall@top5: 0.9325 prec@top5: 0.5949 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 21:23:59 - mmengine - INFO - Epoch(train) [9][1360/2881] lr: 8.7377e-03 eta: 0:52:39 time: 0.6911 data_time: 0.0240 memory: 15184 grad_norm: 0.2062 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.7679 recall@top3: 0.8601 prec@top3: 0.7024 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 21:24:13 - mmengine - INFO - Epoch(train) [9][1380/2881] lr: 8.6608e-03 eta: 0:52:24 time: 0.6942 data_time: 0.0212 memory: 15357 grad_norm: 0.2102 recall@thr=0.5: 0.8118 prec@thr=0.5: 0.6989 recall@top3: 0.9086 prec@top3: 0.4946 recall@top5: 0.9382 prec@top5: 0.3161 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 21:24:27 - mmengine - INFO - Epoch(train) [9][1400/2881] lr: 8.5843e-03 eta: 0:52:10 time: 0.7201 data_time: 0.0241 memory: 15376 grad_norm: 0.1926 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7917 recall@top3: 0.7917 prec@top3: 0.7167 recall@top5: 0.9667 prec@top5: 0.5400 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 21:24:41 - mmengine - INFO - Epoch(train) [9][1420/2881] lr: 8.5081e-03 eta: 0:51:56 time: 0.6937 data_time: 0.0223 memory: 15357 grad_norm: 0.2034 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.7849 recall@top3: 0.7710 prec@top3: 0.6129 recall@top5: 0.9194 prec@top5: 0.4581 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 21:24:55 - mmengine - INFO - Epoch(train) [9][1440/2881] lr: 8.4322e-03 eta: 0:51:41 time: 0.6939 data_time: 0.0226 memory: 15338 grad_norm: 0.1932 recall@thr=0.5: 0.8649 prec@thr=0.5: 0.8644 recall@top3: 0.8305 prec@top3: 0.7586 recall@top5: 0.9483 prec@top5: 0.5310 loss_action_cls: 0.0264 loss: 0.0264 2022/08/10 21:25:09 - mmengine - INFO - Epoch(train) [9][1460/2881] lr: 8.3566e-03 eta: 0:51:27 time: 0.6924 data_time: 0.0232 memory: 15395 grad_norm: 0.2005 recall@thr=0.5: 0.6694 prec@thr=0.5: 0.6344 recall@top3: 0.7876 prec@top3: 0.5376 recall@top5: 0.8844 prec@top5: 0.3742 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 21:25:23 - mmengine - INFO - Epoch(train) [9][1480/2881] lr: 8.2813e-03 eta: 0:51:12 time: 0.7311 data_time: 0.0243 memory: 15701 grad_norm: 0.2000 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.9020 recall@top3: 0.8725 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5294 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 21:25:37 - mmengine - INFO - Epoch(train) [9][1500/2881] lr: 8.2063e-03 eta: 0:50:58 time: 0.6978 data_time: 0.0242 memory: 15357 grad_norm: 0.1937 recall@thr=0.5: 0.5921 prec@thr=0.5: 0.8571 recall@top3: 0.7317 prec@top3: 0.7302 recall@top5: 1.0000 prec@top5: 0.6190 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 21:25:51 - mmengine - INFO - Epoch(train) [9][1520/2881] lr: 8.1317e-03 eta: 0:50:44 time: 0.6973 data_time: 0.0222 memory: 15395 grad_norm: 0.1986 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9211 recall@top3: 0.9298 prec@top3: 0.7544 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 21:26:05 - mmengine - INFO - Epoch(train) [9][1540/2881] lr: 8.0573e-03 eta: 0:50:29 time: 0.6952 data_time: 0.0229 memory: 15184 grad_norm: 0.2020 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9043 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4370 loss_action_cls: 0.0302 loss: 0.0302 2022/08/10 21:26:19 - mmengine - INFO - Epoch(train) [9][1560/2881] lr: 7.9833e-03 eta: 0:50:15 time: 0.7148 data_time: 0.0234 memory: 15204 grad_norm: 0.1966 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.8235 recall@top3: 0.8725 prec@top3: 0.4902 recall@top5: 0.9412 prec@top5: 0.3294 loss_action_cls: 0.0263 loss: 0.0263 2022/08/10 21:26:33 - mmengine - INFO - Epoch(train) [9][1580/2881] lr: 7.9095e-03 eta: 0:50:00 time: 0.6900 data_time: 0.0221 memory: 15338 grad_norm: 0.1945 recall@thr=0.5: 0.6182 prec@thr=0.5: 0.6515 recall@top3: 0.7197 prec@top3: 0.5909 recall@top5: 0.9182 prec@top5: 0.4636 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 21:26:48 - mmengine - INFO - Epoch(train) [9][1600/2881] lr: 7.8361e-03 eta: 0:49:46 time: 0.7313 data_time: 0.0269 memory: 15414 grad_norm: 0.2048 recall@thr=0.5: 0.8944 prec@thr=0.5: 0.8611 recall@top3: 0.9639 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0294 loss: 0.0294 2022/08/10 21:27:02 - mmengine - INFO - Epoch(train) [9][1620/2881] lr: 7.7630e-03 eta: 0:49:32 time: 0.7013 data_time: 0.0225 memory: 15433 grad_norm: 0.2009 recall@thr=0.5: 0.9062 prec@thr=0.5: 1.0000 recall@top3: 0.9479 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 21:27:16 - mmengine - INFO - Epoch(train) [9][1640/2881] lr: 7.6902e-03 eta: 0:49:17 time: 0.7064 data_time: 0.0221 memory: 15357 grad_norm: 0.1950 recall@thr=0.5: 0.8869 prec@thr=0.5: 0.9262 recall@top3: 0.8869 prec@top3: 0.8690 recall@top5: 0.9762 prec@top5: 0.5929 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 21:27:30 - mmengine - INFO - Epoch(train) [9][1660/2881] lr: 7.6178e-03 eta: 0:49:03 time: 0.6953 data_time: 0.0237 memory: 15357 grad_norm: 0.1896 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7298 recall@top3: 0.6026 prec@top3: 0.6140 recall@top5: 0.7939 prec@top5: 0.5158 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 21:27:44 - mmengine - INFO - Epoch(train) [9][1680/2881] lr: 7.5456e-03 eta: 0:48:48 time: 0.6831 data_time: 0.0237 memory: 15318 grad_norm: 0.1967 recall@thr=0.5: 0.8952 prec@thr=0.5: 0.8413 recall@top3: 0.9175 prec@top3: 0.6984 recall@top5: 0.9762 prec@top5: 0.4667 loss_action_cls: 0.0254 loss: 0.0254 2022/08/10 21:27:58 - mmengine - INFO - Epoch(train) [9][1700/2881] lr: 7.4737e-03 eta: 0:48:34 time: 0.7043 data_time: 0.0223 memory: 15318 grad_norm: 0.2051 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.8333 recall@top3: 0.8816 prec@top3: 0.6491 recall@top5: 0.9825 prec@top5: 0.4526 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 21:28:12 - mmengine - INFO - Epoch(train) [9][1720/2881] lr: 7.4022e-03 eta: 0:48:19 time: 0.6909 data_time: 0.0242 memory: 15127 grad_norm: 0.2065 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.8542 recall@top3: 0.7882 prec@top3: 0.7500 recall@top5: 0.9375 prec@top5: 0.5583 loss_action_cls: 0.0331 loss: 0.0331 2022/08/10 21:28:26 - mmengine - INFO - Epoch(train) [9][1740/2881] lr: 7.3310e-03 eta: 0:48:05 time: 0.7118 data_time: 0.0237 memory: 15300 grad_norm: 0.1871 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.6806 recall@top5: 0.9514 prec@top5: 0.4667 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 21:28:40 - mmengine - INFO - Epoch(train) [9][1760/2881] lr: 7.2601e-03 eta: 0:47:51 time: 0.7149 data_time: 0.0226 memory: 15433 grad_norm: 0.1949 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8333 recall@top3: 0.8438 prec@top3: 0.5417 recall@top5: 0.9271 prec@top5: 0.3750 loss_action_cls: 0.0263 loss: 0.0263 2022/08/10 21:28:54 - mmengine - INFO - Epoch(train) [9][1780/2881] lr: 7.1895e-03 eta: 0:47:36 time: 0.6820 data_time: 0.0226 memory: 15414 grad_norm: 0.1959 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.8512 recall@top3: 0.8601 prec@top3: 0.6905 recall@top5: 0.9821 prec@top5: 0.4786 loss_action_cls: 0.0269 loss: 0.0269 2022/08/10 21:29:08 - mmengine - INFO - Epoch(train) [9][1800/2881] lr: 7.1193e-03 eta: 0:47:22 time: 0.6954 data_time: 0.0242 memory: 15376 grad_norm: 0.1949 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7292 recall@top3: 0.8750 prec@top3: 0.6528 recall@top5: 0.9861 prec@top5: 0.4583 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 21:29:21 - mmengine - INFO - Epoch(train) [9][1820/2881] lr: 7.0493e-03 eta: 0:47:07 time: 0.6722 data_time: 0.0226 memory: 15300 grad_norm: 0.2026 recall@thr=0.5: 0.6920 prec@thr=0.5: 0.7609 recall@top3: 0.7464 prec@top3: 0.7826 recall@top5: 0.9420 prec@top5: 0.5913 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 21:29:35 - mmengine - INFO - Epoch(train) [9][1840/2881] lr: 6.9797e-03 eta: 0:46:53 time: 0.6923 data_time: 0.0226 memory: 15395 grad_norm: 0.2060 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8042 recall@top3: 0.8417 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 21:29:49 - mmengine - INFO - Epoch(train) [9][1860/2881] lr: 6.9104e-03 eta: 0:46:39 time: 0.7036 data_time: 0.0245 memory: 15395 grad_norm: 0.2054 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.8913 recall@top3: 0.8203 prec@top3: 0.8261 recall@top5: 0.9783 prec@top5: 0.6174 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:30:03 - mmengine - INFO - Epoch(train) [9][1880/2881] lr: 6.8414e-03 eta: 0:46:24 time: 0.6998 data_time: 0.0218 memory: 15395 grad_norm: 0.1931 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7843 recall@top3: 0.9412 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 21:30:18 - mmengine - INFO - Epoch(train) [9][1900/2881] lr: 6.7728e-03 eta: 0:46:10 time: 0.7480 data_time: 0.0263 memory: 15338 grad_norm: 0.1969 recall@thr=0.5: 0.6100 prec@thr=0.5: 0.8000 recall@top3: 0.8800 prec@top3: 0.7200 recall@top5: 1.0000 prec@top5: 0.4880 loss_action_cls: 0.0272 loss: 0.0272 2022/08/10 21:30:31 - mmengine - INFO - Epoch(train) [9][1920/2881] lr: 6.7044e-03 eta: 0:45:55 time: 0.6734 data_time: 0.0231 memory: 15701 grad_norm: 0.1987 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.7667 recall@top3: 0.8922 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 21:30:45 - mmengine - INFO - Epoch(train) [9][1940/2881] lr: 6.6364e-03 eta: 0:45:41 time: 0.6821 data_time: 0.0224 memory: 15357 grad_norm: 0.1950 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8889 recall@top3: 0.8854 prec@top3: 0.7639 recall@top5: 0.9583 prec@top5: 0.5083 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 21:30:54 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 21:30:59 - mmengine - INFO - Epoch(train) [9][1960/2881] lr: 6.5687e-03 eta: 0:45:27 time: 0.7076 data_time: 0.0220 memory: 15357 grad_norm: 0.1896 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.8380 recall@top3: 0.8657 prec@top3: 0.6574 recall@top5: 0.9306 prec@top5: 0.4278 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 21:31:13 - mmengine - INFO - Epoch(train) [9][1980/2881] lr: 6.5013e-03 eta: 0:45:12 time: 0.6821 data_time: 0.0245 memory: 15223 grad_norm: 0.1936 recall@thr=0.5: 0.8954 prec@thr=0.5: 0.9397 recall@top3: 0.8517 prec@top3: 0.8621 recall@top5: 0.9828 prec@top5: 0.6276 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:31:26 - mmengine - INFO - Epoch(train) [9][2000/2881] lr: 6.4343e-03 eta: 0:44:58 time: 0.6685 data_time: 0.0251 memory: 15223 grad_norm: 0.1997 recall@thr=0.5: 0.8526 prec@thr=0.5: 0.8173 recall@top3: 0.8397 prec@top3: 0.6410 recall@top5: 0.9872 prec@top5: 0.4692 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 21:31:41 - mmengine - INFO - Epoch(train) [9][2020/2881] lr: 6.3675e-03 eta: 0:44:43 time: 0.7482 data_time: 0.0284 memory: 15318 grad_norm: 0.1902 recall@thr=0.5: 0.8514 prec@thr=0.5: 0.9275 recall@top3: 0.8986 prec@top3: 0.7971 recall@top5: 0.9384 prec@top5: 0.5043 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:31:56 - mmengine - INFO - Epoch(train) [9][2040/2881] lr: 6.3011e-03 eta: 0:44:29 time: 0.7142 data_time: 0.0291 memory: 15472 grad_norm: 0.2015 recall@thr=0.5: 0.9318 prec@thr=0.5: 0.9015 recall@top3: 0.9167 prec@top3: 0.8030 recall@top5: 0.9583 prec@top5: 0.5091 loss_action_cls: 0.0272 loss: 0.0272 2022/08/10 21:32:10 - mmengine - INFO - Epoch(train) [9][2060/2881] lr: 6.2351e-03 eta: 0:44:15 time: 0.7086 data_time: 0.0236 memory: 15548 grad_norm: 0.1979 recall@thr=0.5: 0.8591 prec@thr=0.5: 0.8710 recall@top3: 0.8810 prec@top3: 0.8175 recall@top5: 0.9782 prec@top5: 0.5381 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 21:32:24 - mmengine - INFO - Epoch(train) [9][2080/2881] lr: 6.1693e-03 eta: 0:44:00 time: 0.6979 data_time: 0.0210 memory: 15242 grad_norm: 0.1978 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8042 recall@top3: 0.7958 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.5000 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 21:32:38 - mmengine - INFO - Epoch(train) [9][2100/2881] lr: 6.1039e-03 eta: 0:43:46 time: 0.7236 data_time: 0.0239 memory: 15395 grad_norm: 0.1938 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.8510 recall@top3: 0.6784 prec@top3: 0.6275 recall@top5: 0.9118 prec@top5: 0.5294 loss_action_cls: 0.0328 loss: 0.0328 2022/08/10 21:32:52 - mmengine - INFO - Epoch(train) [9][2120/2881] lr: 6.0388e-03 eta: 0:43:32 time: 0.7082 data_time: 0.0290 memory: 15472 grad_norm: 0.1929 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7857 recall@top3: 0.8413 prec@top3: 0.6349 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0264 loss: 0.0264 2022/08/10 21:33:06 - mmengine - INFO - Epoch(train) [9][2140/2881] lr: 5.9740e-03 eta: 0:43:17 time: 0.6780 data_time: 0.0216 memory: 15300 grad_norm: 0.1928 recall@thr=0.5: 0.9205 prec@thr=0.5: 0.8674 recall@top3: 0.9205 prec@top3: 0.6667 recall@top5: 0.9280 prec@top5: 0.4091 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 21:33:21 - mmengine - INFO - Epoch(train) [9][2160/2881] lr: 5.9096e-03 eta: 0:43:03 time: 0.7377 data_time: 0.0243 memory: 15529 grad_norm: 0.2045 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.7246 recall@top3: 0.7536 prec@top3: 0.6087 recall@top5: 0.8551 prec@top5: 0.4174 loss_action_cls: 0.0277 loss: 0.0277 2022/08/10 21:33:34 - mmengine - INFO - Epoch(train) [9][2180/2881] lr: 5.8454e-03 eta: 0:42:48 time: 0.6775 data_time: 0.0246 memory: 15395 grad_norm: 0.1980 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9087 recall@top3: 0.8571 prec@top3: 0.6825 recall@top5: 0.9524 prec@top5: 0.4762 loss_action_cls: 0.0305 loss: 0.0305 2022/08/10 21:33:49 - mmengine - INFO - Epoch(train) [9][2200/2881] lr: 5.7817e-03 eta: 0:42:34 time: 0.7334 data_time: 0.0241 memory: 15357 grad_norm: 0.2028 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.9053 recall@top3: 0.9318 prec@top3: 0.8182 recall@top5: 1.0000 prec@top5: 0.5455 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 21:34:03 - mmengine - INFO - Epoch(train) [9][2220/2881] lr: 5.7182e-03 eta: 0:42:20 time: 0.6859 data_time: 0.0234 memory: 15586 grad_norm: 0.1992 recall@thr=0.5: 0.7992 prec@thr=0.5: 0.7727 recall@top3: 0.8977 prec@top3: 0.8030 recall@top5: 0.9470 prec@top5: 0.5182 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 21:34:17 - mmengine - INFO - Epoch(train) [9][2240/2881] lr: 5.6551e-03 eta: 0:42:05 time: 0.7384 data_time: 0.0243 memory: 15300 grad_norm: 0.1979 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.9091 recall@top3: 0.8447 prec@top3: 0.7576 recall@top5: 0.9242 prec@top5: 0.5091 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 21:34:32 - mmengine - INFO - Epoch(train) [9][2260/2881] lr: 5.5923e-03 eta: 0:41:51 time: 0.7101 data_time: 0.0283 memory: 15395 grad_norm: 0.2022 recall@thr=0.5: 0.6268 prec@thr=0.5: 0.8457 recall@top3: 0.6594 prec@top3: 0.6377 recall@top5: 0.8841 prec@top5: 0.5217 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 21:34:45 - mmengine - INFO - Epoch(train) [9][2280/2881] lr: 5.5298e-03 eta: 0:41:37 time: 0.6767 data_time: 0.0221 memory: 15300 grad_norm: 0.1992 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.6825 recall@top3: 0.7508 prec@top3: 0.5397 recall@top5: 0.9294 prec@top5: 0.4095 loss_action_cls: 0.0338 loss: 0.0338 2022/08/10 21:34:59 - mmengine - INFO - Epoch(train) [9][2300/2881] lr: 5.4676e-03 eta: 0:41:22 time: 0.7173 data_time: 0.0241 memory: 15376 grad_norm: 0.2028 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.8696 recall@top3: 0.7971 prec@top3: 0.7826 recall@top5: 0.9348 prec@top5: 0.5652 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 21:35:13 - mmengine - INFO - Epoch(train) [9][2320/2881] lr: 5.4058e-03 eta: 0:41:08 time: 0.6890 data_time: 0.0253 memory: 15452 grad_norm: 0.2029 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7885 recall@top3: 0.8622 prec@top3: 0.8077 recall@top5: 1.0000 prec@top5: 0.5615 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 21:35:28 - mmengine - INFO - Epoch(train) [9][2340/2881] lr: 5.3443e-03 eta: 0:40:53 time: 0.7189 data_time: 0.0232 memory: 15414 grad_norm: 0.1942 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8788 recall@top3: 0.8674 prec@top3: 0.7424 recall@top5: 0.9886 prec@top5: 0.5364 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 21:35:41 - mmengine - INFO - Epoch(train) [9][2360/2881] lr: 5.2832e-03 eta: 0:40:39 time: 0.6930 data_time: 0.0248 memory: 15242 grad_norm: 0.1955 recall@thr=0.5: 0.7508 prec@thr=0.5: 0.9000 recall@top3: 0.8092 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 21:35:56 - mmengine - INFO - Epoch(train) [9][2380/2881] lr: 5.2224e-03 eta: 0:40:25 time: 0.7044 data_time: 0.0444 memory: 15510 grad_norm: 0.1935 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7917 recall@top3: 0.8068 prec@top3: 0.8182 recall@top5: 0.8864 prec@top5: 0.5545 loss_action_cls: 0.0273 loss: 0.0273 2022/08/10 21:36:10 - mmengine - INFO - Epoch(train) [9][2400/2881] lr: 5.1619e-03 eta: 0:40:10 time: 0.7243 data_time: 0.0241 memory: 15491 grad_norm: 0.1961 recall@thr=0.5: 0.7715 prec@thr=0.5: 0.8430 recall@top3: 0.7796 prec@top3: 0.7742 recall@top5: 0.9516 prec@top5: 0.5806 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 21:36:24 - mmengine - INFO - Epoch(train) [9][2420/2881] lr: 5.1017e-03 eta: 0:39:56 time: 0.6980 data_time: 0.0282 memory: 15318 grad_norm: 0.2003 recall@thr=0.5: 0.6633 prec@thr=0.5: 0.6733 recall@top3: 0.7600 prec@top3: 0.5600 recall@top5: 0.8600 prec@top5: 0.3920 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 21:36:38 - mmengine - INFO - Epoch(train) [9][2440/2881] lr: 5.0419e-03 eta: 0:39:42 time: 0.7014 data_time: 0.0201 memory: 15261 grad_norm: 0.1949 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8292 recall@top3: 0.8542 prec@top3: 0.6333 recall@top5: 0.9833 prec@top5: 0.4600 loss_action_cls: 0.0279 loss: 0.0279 2022/08/10 21:36:52 - mmengine - INFO - Epoch(train) [9][2460/2881] lr: 4.9824e-03 eta: 0:39:27 time: 0.6896 data_time: 0.0224 memory: 15184 grad_norm: 0.1884 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8860 recall@top3: 0.9474 prec@top3: 0.5789 recall@top5: 0.9649 prec@top5: 0.3579 loss_action_cls: 0.0269 loss: 0.0269 2022/08/10 21:37:06 - mmengine - INFO - Epoch(train) [9][2480/2881] lr: 4.9233e-03 eta: 0:39:13 time: 0.7201 data_time: 0.0236 memory: 15261 grad_norm: 0.1911 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8533 recall@top3: 0.9333 prec@top3: 0.6933 recall@top5: 1.0000 prec@top5: 0.4480 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 21:37:21 - mmengine - INFO - Epoch(train) [9][2500/2881] lr: 4.8645e-03 eta: 0:38:59 time: 0.7236 data_time: 0.0261 memory: 15433 grad_norm: 0.1988 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.8673 recall@top3: 0.7994 prec@top3: 0.7037 recall@top5: 0.9907 prec@top5: 0.5407 loss_action_cls: 0.0269 loss: 0.0269 2022/08/10 21:37:34 - mmengine - INFO - Epoch(train) [9][2520/2881] lr: 4.8060e-03 eta: 0:38:44 time: 0.6781 data_time: 0.0226 memory: 15242 grad_norm: 0.2000 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7917 recall@top3: 0.9000 prec@top3: 0.7333 recall@top5: 0.9583 prec@top5: 0.4800 loss_action_cls: 0.0302 loss: 0.0302 2022/08/10 21:37:48 - mmengine - INFO - Epoch(train) [9][2540/2881] lr: 4.7479e-03 eta: 0:38:30 time: 0.6990 data_time: 0.0289 memory: 15300 grad_norm: 0.1931 recall@thr=0.5: 0.8590 prec@thr=0.5: 0.8269 recall@top3: 0.9071 prec@top3: 0.7436 recall@top5: 0.9904 prec@top5: 0.5000 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 21:38:02 - mmengine - INFO - Epoch(train) [9][2560/2881] lr: 4.6901e-03 eta: 0:38:15 time: 0.6879 data_time: 0.0226 memory: 15395 grad_norm: 0.1957 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7442 recall@top3: 0.8333 prec@top3: 0.7101 recall@top5: 0.9710 prec@top5: 0.4957 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 21:38:16 - mmengine - INFO - Epoch(train) [9][2580/2881] lr: 4.6326e-03 eta: 0:38:01 time: 0.7004 data_time: 0.0226 memory: 15318 grad_norm: 0.1945 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8583 recall@top3: 0.8583 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.3700 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 21:38:30 - mmengine - INFO - Epoch(train) [9][2600/2881] lr: 4.5755e-03 eta: 0:37:47 time: 0.7033 data_time: 0.0235 memory: 15338 grad_norm: 0.1981 recall@thr=0.5: 0.5768 prec@thr=0.5: 0.7101 recall@top3: 0.6768 prec@top3: 0.6377 recall@top5: 0.9348 prec@top5: 0.5652 loss_action_cls: 0.0291 loss: 0.0291 2022/08/10 21:38:44 - mmengine - INFO - Epoch(train) [9][2620/2881] lr: 4.5187e-03 eta: 0:37:32 time: 0.6832 data_time: 0.0227 memory: 15376 grad_norm: 0.1959 recall@thr=0.5: 0.8657 prec@thr=0.5: 0.8796 recall@top3: 0.9074 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 21:38:57 - mmengine - INFO - Epoch(train) [9][2640/2881] lr: 4.4622e-03 eta: 0:37:18 time: 0.6826 data_time: 0.0236 memory: 15261 grad_norm: 0.1913 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7302 recall@top3: 0.8175 prec@top3: 0.6190 recall@top5: 0.8968 prec@top5: 0.4095 loss_action_cls: 0.0290 loss: 0.0290 2022/08/10 21:39:12 - mmengine - INFO - Epoch(train) [9][2660/2881] lr: 4.4061e-03 eta: 0:37:03 time: 0.7154 data_time: 0.0239 memory: 15300 grad_norm: 0.2128 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.8636 recall@top3: 0.8939 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 21:39:26 - mmengine - INFO - Epoch(train) [9][2680/2881] lr: 4.3503e-03 eta: 0:36:49 time: 0.7369 data_time: 0.0257 memory: 15338 grad_norm: 0.1955 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7809 recall@top3: 0.8395 prec@top3: 0.6914 recall@top5: 0.9815 prec@top5: 0.5185 loss_action_cls: 0.0294 loss: 0.0294 2022/08/10 21:39:40 - mmengine - INFO - Epoch(train) [9][2700/2881] lr: 4.2949e-03 eta: 0:36:35 time: 0.6916 data_time: 0.0245 memory: 15261 grad_norm: 0.1992 recall@thr=0.5: 0.6758 prec@thr=0.5: 0.6970 recall@top3: 0.8485 prec@top3: 0.7121 recall@top5: 0.9182 prec@top5: 0.4636 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:39:54 - mmengine - INFO - Epoch(train) [9][2720/2881] lr: 4.2398e-03 eta: 0:36:20 time: 0.6842 data_time: 0.0216 memory: 15318 grad_norm: 0.1990 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9053 recall@top3: 0.9242 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 21:40:08 - mmengine - INFO - Epoch(train) [9][2740/2881] lr: 4.1850e-03 eta: 0:36:06 time: 0.7037 data_time: 0.0218 memory: 15338 grad_norm: 0.2010 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.8250 recall@top3: 0.8267 prec@top3: 0.7500 recall@top5: 0.9667 prec@top5: 0.5500 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 21:40:22 - mmengine - INFO - Epoch(train) [9][2760/2881] lr: 4.1306e-03 eta: 0:35:52 time: 0.7120 data_time: 0.0249 memory: 15318 grad_norm: 0.2021 recall@thr=0.5: 0.8819 prec@thr=0.5: 0.8611 recall@top3: 0.9236 prec@top3: 0.6528 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 21:40:36 - mmengine - INFO - Epoch(train) [9][2780/2881] lr: 4.0765e-03 eta: 0:35:37 time: 0.6727 data_time: 0.0213 memory: 15300 grad_norm: 0.1958 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.8889 recall@top3: 0.8472 prec@top3: 0.7222 recall@top5: 0.9201 prec@top5: 0.4833 loss_action_cls: 0.0309 loss: 0.0309 2022/08/10 21:40:50 - mmengine - INFO - Epoch(train) [9][2800/2881] lr: 4.0228e-03 eta: 0:35:23 time: 0.7274 data_time: 0.0263 memory: 15261 grad_norm: 0.2012 recall@thr=0.5: 0.8851 prec@thr=0.5: 0.9080 recall@top3: 0.8937 prec@top3: 0.7931 recall@top5: 0.9310 prec@top5: 0.5034 loss_action_cls: 0.0252 loss: 0.0252 2022/08/10 21:41:04 - mmengine - INFO - Epoch(train) [9][2820/2881] lr: 3.9694e-03 eta: 0:35:08 time: 0.6966 data_time: 0.0219 memory: 15223 grad_norm: 0.1997 recall@thr=0.5: 0.7261 prec@thr=0.5: 0.7217 recall@top3: 0.8232 prec@top3: 0.5652 recall@top5: 0.9406 prec@top5: 0.4087 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:41:18 - mmengine - INFO - Epoch(train) [9][2840/2881] lr: 3.9163e-03 eta: 0:34:54 time: 0.6948 data_time: 0.0249 memory: 15548 grad_norm: 0.1938 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8409 recall@top3: 0.8159 prec@top3: 0.7273 recall@top5: 0.8939 prec@top5: 0.5000 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 21:41:33 - mmengine - INFO - Epoch(train) [9][2860/2881] lr: 3.8636e-03 eta: 0:34:40 time: 0.7215 data_time: 0.0213 memory: 15318 grad_norm: 0.1968 recall@thr=0.5: 0.8007 prec@thr=0.5: 0.8696 recall@top3: 0.8442 prec@top3: 0.7971 recall@top5: 0.9384 prec@top5: 0.5391 loss_action_cls: 0.0295 loss: 0.0295 2022/08/10 21:41:47 - mmengine - INFO - Epoch(train) [9][2880/2881] lr: 3.8112e-03 eta: 0:34:25 time: 0.7171 data_time: 0.0237 memory: 15567 grad_norm: 0.1991 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.7982 recall@top3: 0.9211 prec@top3: 0.8421 recall@top5: 0.9825 prec@top5: 0.5368 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 21:41:48 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 21:41:48 - mmengine - INFO - Epoch(train) [9][2881/2881] lr: 3.8086e-03 eta: 0:34:25 time: 0.7175 data_time: 0.0240 memory: 15070 grad_norm: 0.1975 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7540 recall@top3: 0.8571 prec@top3: 0.6508 recall@top5: 0.9365 prec@top5: 0.4286 loss_action_cls: 0.0324 loss: 0.0324 2022/08/10 21:41:48 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/10 21:42:00 - mmengine - INFO - Epoch(val) [9][20/6282] eta: 0:10:12 time: 0.0978 data_time: 0.0244 memory: 1670 2022/08/10 21:42:01 - mmengine - INFO - Epoch(val) [9][40/6282] eta: 0:05:38 time: 0.0543 data_time: 0.0041 memory: 1670 2022/08/10 21:42:02 - mmengine - INFO - Epoch(val) [9][60/6282] eta: 0:05:45 time: 0.0555 data_time: 0.0040 memory: 1670 2022/08/10 21:42:03 - mmengine - INFO - Epoch(val) [9][80/6282] eta: 0:05:50 time: 0.0566 data_time: 0.0050 memory: 1670 2022/08/10 21:42:04 - mmengine - INFO - Epoch(val) [9][100/6282] eta: 0:05:37 time: 0.0545 data_time: 0.0053 memory: 1670 2022/08/10 21:42:06 - mmengine - INFO - Epoch(val) [9][120/6282] eta: 0:07:03 time: 0.0688 data_time: 0.0046 memory: 1704 2022/08/10 21:42:07 - mmengine - INFO - Epoch(val) [9][140/6282] eta: 0:07:43 time: 0.0755 data_time: 0.0058 memory: 1704 2022/08/10 21:42:09 - mmengine - INFO - Epoch(val) [9][160/6282] eta: 0:08:09 time: 0.0799 data_time: 0.0054 memory: 1704 2022/08/10 21:42:11 - mmengine - INFO - Epoch(val) [9][180/6282] eta: 0:09:53 time: 0.0972 data_time: 0.0058 memory: 1704 2022/08/10 21:42:12 - mmengine - INFO - Epoch(val) [9][200/6282] eta: 0:07:08 time: 0.0705 data_time: 0.0063 memory: 1704 2022/08/10 21:42:13 - mmengine - INFO - Epoch(val) [9][220/6282] eta: 0:06:00 time: 0.0594 data_time: 0.0044 memory: 1677 2022/08/10 21:42:15 - mmengine - INFO - Epoch(val) [9][240/6282] eta: 0:06:21 time: 0.0632 data_time: 0.0040 memory: 1677 2022/08/10 21:42:16 - mmengine - INFO - Epoch(val) [9][260/6282] eta: 0:05:35 time: 0.0557 data_time: 0.0049 memory: 1677 2022/08/10 21:42:17 - mmengine - INFO - Epoch(val) [9][280/6282] eta: 0:06:03 time: 0.0606 data_time: 0.0049 memory: 1677 2022/08/10 21:42:19 - mmengine - INFO - Epoch(val) [9][300/6282] eta: 0:07:11 time: 0.0722 data_time: 0.0094 memory: 1704 2022/08/10 21:42:20 - mmengine - INFO - Epoch(val) [9][320/6282] eta: 0:08:36 time: 0.0866 data_time: 0.0127 memory: 1906 2022/08/10 21:42:22 - mmengine - INFO - Epoch(val) [9][340/6282] eta: 0:10:40 time: 0.1077 data_time: 0.0113 memory: 1774 2022/08/10 21:42:24 - mmengine - INFO - Epoch(val) [9][360/6282] eta: 0:07:09 time: 0.0725 data_time: 0.0041 memory: 1840 2022/08/10 21:42:25 - mmengine - INFO - Epoch(val) [9][380/6282] eta: 0:07:20 time: 0.0746 data_time: 0.0057 memory: 1840 2022/08/10 21:42:27 - mmengine - INFO - Epoch(val) [9][400/6282] eta: 0:06:16 time: 0.0640 data_time: 0.0036 memory: 1704 2022/08/10 21:42:28 - mmengine - INFO - Epoch(val) [9][420/6282] eta: 0:05:24 time: 0.0553 data_time: 0.0033 memory: 1677 2022/08/10 21:42:29 - mmengine - INFO - Epoch(val) [9][440/6282] eta: 0:05:11 time: 0.0533 data_time: 0.0041 memory: 1677 2022/08/10 21:42:30 - mmengine - INFO - Epoch(val) [9][460/6282] eta: 0:05:22 time: 0.0554 data_time: 0.0041 memory: 1677 2022/08/10 21:42:31 - mmengine - INFO - Epoch(val) [9][480/6282] eta: 0:05:20 time: 0.0552 data_time: 0.0043 memory: 1677 2022/08/10 21:42:33 - mmengine - INFO - Epoch(val) [9][500/6282] eta: 0:07:20 time: 0.0761 data_time: 0.0035 memory: 1677 2022/08/10 21:42:34 - mmengine - INFO - Epoch(val) [9][520/6282] eta: 0:05:41 time: 0.0592 data_time: 0.0054 memory: 1677 2022/08/10 21:42:35 - mmengine - INFO - Epoch(val) [9][540/6282] eta: 0:06:01 time: 0.0629 data_time: 0.0044 memory: 1677 2022/08/10 21:42:36 - mmengine - INFO - Epoch(val) [9][560/6282] eta: 0:05:37 time: 0.0589 data_time: 0.0043 memory: 1677 2022/08/10 21:42:37 - mmengine - INFO - Epoch(val) [9][580/6282] eta: 0:05:17 time: 0.0556 data_time: 0.0038 memory: 1677 2022/08/10 21:42:39 - mmengine - INFO - Epoch(val) [9][600/6282] eta: 0:05:53 time: 0.0622 data_time: 0.0049 memory: 1677 2022/08/10 21:42:40 - mmengine - INFO - Epoch(val) [9][620/6282] eta: 0:04:58 time: 0.0526 data_time: 0.0043 memory: 1677 2022/08/10 21:42:41 - mmengine - INFO - Epoch(val) [9][640/6282] eta: 0:04:51 time: 0.0517 data_time: 0.0042 memory: 1675 2022/08/10 21:42:42 - mmengine - INFO - Epoch(val) [9][660/6282] eta: 0:04:56 time: 0.0527 data_time: 0.0035 memory: 1675 2022/08/10 21:42:43 - mmengine - INFO - Epoch(val) [9][680/6282] eta: 0:07:25 time: 0.0795 data_time: 0.0032 memory: 1675 2022/08/10 21:42:44 - mmengine - INFO - Epoch(val) [9][700/6282] eta: 0:05:21 time: 0.0575 data_time: 0.0041 memory: 1675 2022/08/10 21:42:47 - mmengine - INFO - Epoch(val) [9][720/6282] eta: 0:12:55 time: 0.1395 data_time: 0.0691 memory: 1939 2022/08/10 21:42:51 - mmengine - INFO - Epoch(val) [9][740/6282] eta: 0:17:07 time: 0.1854 data_time: 0.1116 memory: 1807 2022/08/10 21:42:54 - mmengine - INFO - Epoch(val) [9][760/6282] eta: 0:11:41 time: 0.1271 data_time: 0.0549 memory: 1774 2022/08/10 21:42:56 - mmengine - INFO - Epoch(val) [9][780/6282] eta: 0:12:02 time: 0.1312 data_time: 0.0459 memory: 1704 2022/08/10 21:42:59 - mmengine - INFO - Epoch(val) [9][800/6282] eta: 0:11:25 time: 0.1250 data_time: 0.0598 memory: 1704 2022/08/10 21:43:00 - mmengine - INFO - Epoch(val) [9][820/6282] eta: 0:08:10 time: 0.0898 data_time: 0.0320 memory: 1704 2022/08/10 21:43:02 - mmengine - INFO - Epoch(val) [9][840/6282] eta: 0:05:33 time: 0.0612 data_time: 0.0039 memory: 1722 2022/08/10 21:43:03 - mmengine - INFO - Epoch(val) [9][860/6282] eta: 0:05:29 time: 0.0609 data_time: 0.0046 memory: 1677 2022/08/10 21:43:04 - mmengine - INFO - Epoch(val) [9][880/6282] eta: 0:05:15 time: 0.0584 data_time: 0.0038 memory: 1677 2022/08/10 21:43:05 - mmengine - INFO - Epoch(val) [9][900/6282] eta: 0:05:24 time: 0.0603 data_time: 0.0049 memory: 1677 2022/08/10 21:43:06 - mmengine - INFO - Epoch(val) [9][920/6282] eta: 0:05:19 time: 0.0596 data_time: 0.0043 memory: 1697 2022/08/10 21:43:08 - mmengine - INFO - Epoch(val) [9][940/6282] eta: 0:04:45 time: 0.0535 data_time: 0.0041 memory: 1670 2022/08/10 21:43:09 - mmengine - INFO - Epoch(val) [9][960/6282] eta: 0:04:44 time: 0.0534 data_time: 0.0042 memory: 1670 2022/08/10 21:43:10 - mmengine - INFO - Epoch(val) [9][980/6282] eta: 0:04:44 time: 0.0536 data_time: 0.0037 memory: 1670 2022/08/10 21:43:11 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:04:59 time: 0.0567 data_time: 0.0048 memory: 1670 2022/08/10 21:43:12 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:04:52 time: 0.0557 data_time: 0.0038 memory: 1670 2022/08/10 21:43:13 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:04:44 time: 0.0543 data_time: 0.0035 memory: 1677 2022/08/10 21:43:14 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:05:00 time: 0.0575 data_time: 0.0038 memory: 1677 2022/08/10 21:43:15 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:05:17 time: 0.0610 data_time: 0.0044 memory: 1677 2022/08/10 21:43:17 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:05:02 time: 0.0583 data_time: 0.0045 memory: 1677 2022/08/10 21:43:18 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:05:02 time: 0.0585 data_time: 0.0039 memory: 1677 2022/08/10 21:43:19 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:05:28 time: 0.0639 data_time: 0.0040 memory: 1677 2022/08/10 21:43:20 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:05:04 time: 0.0594 data_time: 0.0046 memory: 1677 2022/08/10 21:43:21 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:04:51 time: 0.0572 data_time: 0.0033 memory: 1677 2022/08/10 21:43:23 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:04:56 time: 0.0584 data_time: 0.0048 memory: 1747 2022/08/10 21:43:24 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:05:02 time: 0.0599 data_time: 0.0048 memory: 1677 2022/08/10 21:43:27 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:13:40 time: 0.1627 data_time: 0.0977 memory: 1704 2022/08/10 21:43:30 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:12:23 time: 0.1481 data_time: 0.0649 memory: 1704 2022/08/10 21:43:34 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:15:33 time: 0.1867 data_time: 0.1241 memory: 1704 2022/08/10 21:43:37 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:11:55 time: 0.1437 data_time: 0.0783 memory: 1704 2022/08/10 21:43:40 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:15:35 time: 0.1886 data_time: 0.0836 memory: 1704 2022/08/10 21:43:43 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:11:39 time: 0.1416 data_time: 0.0754 memory: 1704 2022/08/10 21:43:47 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:15:07 time: 0.1843 data_time: 0.1201 memory: 1704 2022/08/10 21:43:50 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:10:30 time: 0.1287 data_time: 0.0668 memory: 1704 2022/08/10 21:43:52 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:11:16 time: 0.1386 data_time: 0.0745 memory: 1704 2022/08/10 21:43:55 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:10:24 time: 0.1284 data_time: 0.0641 memory: 1704 2022/08/10 21:43:57 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:07:07 time: 0.0883 data_time: 0.0209 memory: 1715 2022/08/10 21:43:58 - mmengine - INFO - Epoch(val) [9][1460/6282] eta: 0:06:26 time: 0.0801 data_time: 0.0051 memory: 1873 2022/08/10 21:44:00 - mmengine - INFO - Epoch(val) [9][1480/6282] eta: 0:05:50 time: 0.0731 data_time: 0.0062 memory: 1807 2022/08/10 21:44:01 - mmengine - INFO - Epoch(val) [9][1500/6282] eta: 0:05:35 time: 0.0701 data_time: 0.0042 memory: 1807 2022/08/10 21:44:03 - mmengine - INFO - Epoch(val) [9][1520/6282] eta: 0:05:37 time: 0.0710 data_time: 0.0037 memory: 1798 2022/08/10 21:44:04 - mmengine - INFO - Epoch(val) [9][1540/6282] eta: 0:06:50 time: 0.0865 data_time: 0.0052 memory: 1798 2022/08/10 21:44:06 - mmengine - INFO - Epoch(val) [9][1560/6282] eta: 0:06:32 time: 0.0831 data_time: 0.0054 memory: 1798 2022/08/10 21:44:08 - mmengine - INFO - Epoch(val) [9][1580/6282] eta: 0:06:31 time: 0.0832 data_time: 0.0047 memory: 1798 2022/08/10 21:44:09 - mmengine - INFO - Epoch(val) [9][1600/6282] eta: 0:06:53 time: 0.0883 data_time: 0.0045 memory: 1798 2022/08/10 21:44:11 - mmengine - INFO - Epoch(val) [9][1620/6282] eta: 0:06:33 time: 0.0843 data_time: 0.0047 memory: 1798 2022/08/10 21:44:13 - mmengine - INFO - Epoch(val) [9][1640/6282] eta: 0:07:33 time: 0.0977 data_time: 0.0035 memory: 1840 2022/08/10 21:44:15 - mmengine - INFO - Epoch(val) [9][1660/6282] eta: 0:05:31 time: 0.0717 data_time: 0.0043 memory: 1704 2022/08/10 21:44:16 - mmengine - INFO - Epoch(val) [9][1680/6282] eta: 0:05:06 time: 0.0667 data_time: 0.0045 memory: 1704 2022/08/10 21:44:17 - mmengine - INFO - Epoch(val) [9][1700/6282] eta: 0:05:25 time: 0.0711 data_time: 0.0038 memory: 1939 2022/08/10 21:44:19 - mmengine - INFO - Epoch(val) [9][1720/6282] eta: 0:06:18 time: 0.0830 data_time: 0.0040 memory: 1973 2022/08/10 21:44:20 - mmengine - INFO - Epoch(val) [9][1740/6282] eta: 0:05:12 time: 0.0689 data_time: 0.0049 memory: 1704 2022/08/10 21:44:22 - mmengine - INFO - Epoch(val) [9][1760/6282] eta: 0:05:28 time: 0.0727 data_time: 0.0051 memory: 1704 2022/08/10 21:44:24 - mmengine - INFO - Epoch(val) [9][1780/6282] eta: 0:06:24 time: 0.0855 data_time: 0.0046 memory: 1704 2022/08/10 21:44:25 - mmengine - INFO - Epoch(val) [9][1800/6282] eta: 0:05:31 time: 0.0740 data_time: 0.0042 memory: 1807 2022/08/10 21:44:26 - mmengine - INFO - Epoch(val) [9][1820/6282] eta: 0:05:31 time: 0.0742 data_time: 0.0039 memory: 1774 2022/08/10 21:44:28 - mmengine - INFO - Epoch(val) [9][1840/6282] eta: 0:06:42 time: 0.0907 data_time: 0.0200 memory: 1704 2022/08/10 21:44:32 - mmengine - INFO - Epoch(val) [9][1860/6282] eta: 0:12:56 time: 0.1756 data_time: 0.1136 memory: 1704 2022/08/10 21:44:35 - mmengine - INFO - Epoch(val) [9][1880/6282] eta: 0:11:38 time: 0.1587 data_time: 0.0692 memory: 1704 2022/08/10 21:44:38 - mmengine - INFO - Epoch(val) [9][1900/6282] eta: 0:10:21 time: 0.1419 data_time: 0.0779 memory: 1704 2022/08/10 21:44:41 - mmengine - INFO - Epoch(val) [9][1920/6282] eta: 0:10:41 time: 0.1470 data_time: 0.0692 memory: 1704 2022/08/10 21:44:43 - mmengine - INFO - Epoch(val) [9][1940/6282] eta: 0:08:22 time: 0.1157 data_time: 0.0522 memory: 1704 2022/08/10 21:44:45 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:05:49 time: 0.0809 data_time: 0.0038 memory: 1677 2022/08/10 21:44:46 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:04:00 time: 0.0560 data_time: 0.0041 memory: 1677 2022/08/10 21:44:47 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:04:14 time: 0.0593 data_time: 0.0049 memory: 1677 2022/08/10 21:44:48 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:04:28 time: 0.0631 data_time: 0.0045 memory: 1677 2022/08/10 21:44:50 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:04:06 time: 0.0582 data_time: 0.0047 memory: 1677 2022/08/10 21:44:51 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:03:58 time: 0.0564 data_time: 0.0046 memory: 1677 2022/08/10 21:44:52 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:03:48 time: 0.0544 data_time: 0.0044 memory: 1677 2022/08/10 21:44:53 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:03:38 time: 0.0522 data_time: 0.0034 memory: 1677 2022/08/10 21:44:54 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:03:28 time: 0.0501 data_time: 0.0032 memory: 1677 2022/08/10 21:44:55 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:05:12 time: 0.0755 data_time: 0.0035 memory: 1697 2022/08/10 21:44:56 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:03:37 time: 0.0527 data_time: 0.0032 memory: 1677 2022/08/10 21:44:57 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:03:45 time: 0.0549 data_time: 0.0039 memory: 1677 2022/08/10 21:44:59 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:04:33 time: 0.0669 data_time: 0.0059 memory: 1677 2022/08/10 21:45:00 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:03:45 time: 0.0556 data_time: 0.0040 memory: 1677 2022/08/10 21:45:01 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:04:00 time: 0.0594 data_time: 0.0047 memory: 1677 2022/08/10 21:45:02 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:04:05 time: 0.0611 data_time: 0.0050 memory: 1677 2022/08/10 21:45:04 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:03:51 time: 0.0579 data_time: 0.0043 memory: 1698 2022/08/10 21:45:05 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:03:53 time: 0.0586 data_time: 0.0069 memory: 1677 2022/08/10 21:45:06 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:05:39 time: 0.0857 data_time: 0.0057 memory: 1677 2022/08/10 21:45:08 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:03:52 time: 0.0589 data_time: 0.0046 memory: 1677 2022/08/10 21:45:09 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:04:06 time: 0.0627 data_time: 0.0053 memory: 1677 2022/08/10 21:45:10 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:04:09 time: 0.0638 data_time: 0.0058 memory: 1677 2022/08/10 21:45:11 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:04:04 time: 0.0630 data_time: 0.0056 memory: 1677 2022/08/10 21:45:13 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:03:53 time: 0.0604 data_time: 0.0046 memory: 1677 2022/08/10 21:45:14 - mmengine - INFO - Epoch(val) [9][2440/6282] eta: 0:03:48 time: 0.0594 data_time: 0.0041 memory: 1677 2022/08/10 21:45:16 - mmengine - INFO - Epoch(val) [9][2460/6282] eta: 0:05:10 time: 0.0812 data_time: 0.0141 memory: 1704 2022/08/10 21:45:17 - mmengine - INFO - Epoch(val) [9][2480/6282] eta: 0:05:33 time: 0.0877 data_time: 0.0161 memory: 1704 2022/08/10 21:45:19 - mmengine - INFO - Epoch(val) [9][2500/6282] eta: 0:06:38 time: 0.1054 data_time: 0.0151 memory: 1704 2022/08/10 21:45:21 - mmengine - INFO - Epoch(val) [9][2520/6282] eta: 0:05:15 time: 0.0840 data_time: 0.0120 memory: 1774 2022/08/10 21:45:24 - mmengine - INFO - Epoch(val) [9][2540/6282] eta: 0:07:56 time: 0.1273 data_time: 0.0582 memory: 1939 2022/08/10 21:45:26 - mmengine - INFO - Epoch(val) [9][2560/6282] eta: 0:08:51 time: 0.1428 data_time: 0.0793 memory: 1704 2022/08/10 21:45:30 - mmengine - INFO - Epoch(val) [9][2580/6282] eta: 0:11:31 time: 0.1868 data_time: 0.1225 memory: 1704 2022/08/10 21:45:33 - mmengine - INFO - Epoch(val) [9][2600/6282] eta: 0:08:49 time: 0.1437 data_time: 0.0777 memory: 1715 2022/08/10 21:45:37 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:10:36 time: 0.1739 data_time: 0.1066 memory: 1704 2022/08/10 21:45:39 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:08:31 time: 0.1403 data_time: 0.0654 memory: 1704 2022/08/10 21:45:41 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:04:46 time: 0.0792 data_time: 0.0050 memory: 1788 2022/08/10 21:45:43 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:05:15 time: 0.0877 data_time: 0.0061 memory: 1788 2022/08/10 21:45:44 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:05:02 time: 0.0845 data_time: 0.0051 memory: 1788 2022/08/10 21:45:46 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:04:59 time: 0.0842 data_time: 0.0059 memory: 1788 2022/08/10 21:45:48 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:05:13 time: 0.0886 data_time: 0.0062 memory: 1797 2022/08/10 21:45:49 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:03:49 time: 0.0653 data_time: 0.0055 memory: 1677 2022/08/10 21:45:51 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:03:52 time: 0.0664 data_time: 0.0065 memory: 1677 2022/08/10 21:45:52 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:03:41 time: 0.0637 data_time: 0.0058 memory: 1631 2022/08/10 21:45:53 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:03:50 time: 0.0665 data_time: 0.0058 memory: 1677 2022/08/10 21:45:54 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:03:28 time: 0.0604 data_time: 0.0048 memory: 1631 2022/08/10 21:45:56 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:03:51 time: 0.0677 data_time: 0.0047 memory: 1704 2022/08/10 21:45:57 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:04:01 time: 0.0710 data_time: 0.0041 memory: 1704 2022/08/10 21:45:59 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:06:01 time: 0.1069 data_time: 0.0092 memory: 1704 2022/08/10 21:46:01 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:03:29 time: 0.0624 data_time: 0.0047 memory: 1704 2022/08/10 21:46:02 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:03:09 time: 0.0567 data_time: 0.0034 memory: 1688 2022/08/10 21:46:03 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:03:18 time: 0.0598 data_time: 0.0043 memory: 1688 2022/08/10 21:46:04 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:03:11 time: 0.0579 data_time: 0.0033 memory: 1688 2022/08/10 21:46:05 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:03:20 time: 0.0610 data_time: 0.0042 memory: 1688 2022/08/10 21:46:07 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:03:29 time: 0.0641 data_time: 0.0041 memory: 1704 2022/08/10 21:46:08 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:03:37 time: 0.0671 data_time: 0.0045 memory: 1715 2022/08/10 21:46:10 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:04:10 time: 0.0778 data_time: 0.0038 memory: 1774 2022/08/10 21:46:11 - mmengine - INFO - Epoch(val) [9][3080/6282] eta: 0:03:53 time: 0.0728 data_time: 0.0053 memory: 1704 2022/08/10 21:46:12 - mmengine - INFO - Epoch(val) [9][3100/6282] eta: 0:03:45 time: 0.0710 data_time: 0.0063 memory: 1704 2022/08/10 21:46:14 - mmengine - INFO - Epoch(val) [9][3120/6282] eta: 0:03:17 time: 0.0624 data_time: 0.0058 memory: 1677 2022/08/10 21:46:15 - mmengine - INFO - Epoch(val) [9][3140/6282] eta: 0:03:20 time: 0.0639 data_time: 0.0056 memory: 1677 2022/08/10 21:46:16 - mmengine - INFO - Epoch(val) [9][3160/6282] eta: 0:03:15 time: 0.0626 data_time: 0.0053 memory: 1677 2022/08/10 21:46:17 - mmengine - INFO - Epoch(val) [9][3180/6282] eta: 0:03:11 time: 0.0616 data_time: 0.0062 memory: 1677 2022/08/10 21:46:20 - mmengine - INFO - Epoch(val) [9][3200/6282] eta: 0:05:34 time: 0.1086 data_time: 0.0059 memory: 1704 2022/08/10 21:46:21 - mmengine - INFO - Epoch(val) [9][3220/6282] eta: 0:03:38 time: 0.0715 data_time: 0.0053 memory: 1704 2022/08/10 21:46:22 - mmengine - INFO - Epoch(val) [9][3240/6282] eta: 0:03:27 time: 0.0682 data_time: 0.0044 memory: 1704 2022/08/10 21:46:24 - mmengine - INFO - Epoch(val) [9][3260/6282] eta: 0:03:33 time: 0.0706 data_time: 0.0074 memory: 1704 2022/08/10 21:46:25 - mmengine - INFO - Epoch(val) [9][3280/6282] eta: 0:03:24 time: 0.0682 data_time: 0.0034 memory: 1704 2022/08/10 21:46:27 - mmengine - INFO - Epoch(val) [9][3300/6282] eta: 0:03:40 time: 0.0738 data_time: 0.0041 memory: 1695 2022/08/10 21:46:28 - mmengine - INFO - Epoch(val) [9][3320/6282] eta: 0:03:20 time: 0.0676 data_time: 0.0040 memory: 1704 2022/08/10 21:46:30 - mmengine - INFO - Epoch(val) [9][3340/6282] eta: 0:03:36 time: 0.0736 data_time: 0.0044 memory: 1715 2022/08/10 21:46:31 - mmengine - INFO - Epoch(val) [9][3360/6282] eta: 0:03:34 time: 0.0736 data_time: 0.0048 memory: 1704 2022/08/10 21:46:32 - mmengine - INFO - Epoch(val) [9][3380/6282] eta: 0:03:12 time: 0.0663 data_time: 0.0038 memory: 1704 2022/08/10 21:46:34 - mmengine - INFO - Epoch(val) [9][3400/6282] eta: 0:02:48 time: 0.0586 data_time: 0.0036 memory: 1722 2022/08/10 21:46:35 - mmengine - INFO - Epoch(val) [9][3420/6282] eta: 0:02:38 time: 0.0553 data_time: 0.0032 memory: 1677 2022/08/10 21:46:36 - mmengine - INFO - Epoch(val) [9][3440/6282] eta: 0:02:42 time: 0.0572 data_time: 0.0039 memory: 1677 2022/08/10 21:46:37 - mmengine - INFO - Epoch(val) [9][3460/6282] eta: 0:02:45 time: 0.0588 data_time: 0.0034 memory: 1677 2022/08/10 21:46:39 - mmengine - INFO - Epoch(val) [9][3480/6282] eta: 0:04:14 time: 0.0910 data_time: 0.0041 memory: 1722 2022/08/10 21:46:40 - mmengine - INFO - Epoch(val) [9][3500/6282] eta: 0:02:30 time: 0.0540 data_time: 0.0044 memory: 1677 2022/08/10 21:46:41 - mmengine - INFO - Epoch(val) [9][3520/6282] eta: 0:02:23 time: 0.0520 data_time: 0.0041 memory: 1677 2022/08/10 21:46:42 - mmengine - INFO - Epoch(val) [9][3540/6282] eta: 0:02:23 time: 0.0525 data_time: 0.0038 memory: 1677 2022/08/10 21:46:43 - mmengine - INFO - Epoch(val) [9][3560/6282] eta: 0:02:29 time: 0.0550 data_time: 0.0035 memory: 1677 2022/08/10 21:46:44 - mmengine - INFO - Epoch(val) [9][3580/6282] eta: 0:02:27 time: 0.0547 data_time: 0.0041 memory: 1696 2022/08/10 21:46:46 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:03:07 time: 0.0698 data_time: 0.0053 memory: 1696 2022/08/10 21:46:47 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:03:19 time: 0.0751 data_time: 0.0052 memory: 1845 2022/08/10 21:46:49 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:04:01 time: 0.0914 data_time: 0.0067 memory: 1696 2022/08/10 21:46:50 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:03:14 time: 0.0740 data_time: 0.0068 memory: 1696 2022/08/10 21:46:52 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:03:17 time: 0.0760 data_time: 0.0061 memory: 1704 2022/08/10 21:46:54 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:03:33 time: 0.0826 data_time: 0.0153 memory: 1704 2022/08/10 21:46:55 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:03:46 time: 0.0886 data_time: 0.0195 memory: 1704 2022/08/10 21:46:57 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:03:36 time: 0.0852 data_time: 0.0153 memory: 1704 2022/08/10 21:46:59 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:04:02 time: 0.0963 data_time: 0.0218 memory: 1704 2022/08/10 21:47:01 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:03:34 time: 0.0856 data_time: 0.0194 memory: 1704 2022/08/10 21:47:03 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:04:05 time: 0.0989 data_time: 0.0302 memory: 1704 2022/08/10 21:47:05 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:03:42 time: 0.0902 data_time: 0.0218 memory: 1704 2022/08/10 21:47:06 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:03:43 time: 0.0916 data_time: 0.0241 memory: 1704 2022/08/10 21:47:08 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:03:26 time: 0.0854 data_time: 0.0178 memory: 1704 2022/08/10 21:47:10 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:03:52 time: 0.0969 data_time: 0.0082 memory: 1704 2022/08/10 21:47:12 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:03:00 time: 0.0756 data_time: 0.0092 memory: 1704 2022/08/10 21:47:13 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:02:44 time: 0.0695 data_time: 0.0061 memory: 1704 2022/08/10 21:47:14 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:02:33 time: 0.0654 data_time: 0.0047 memory: 1704 2022/08/10 21:47:16 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:02:44 time: 0.0708 data_time: 0.0059 memory: 1715 2022/08/10 21:47:17 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:02:34 time: 0.0673 data_time: 0.0035 memory: 1715 2022/08/10 21:47:18 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:02:29 time: 0.0654 data_time: 0.0037 memory: 1715 2022/08/10 21:47:20 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:02:40 time: 0.0708 data_time: 0.0059 memory: 1704 2022/08/10 21:47:21 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:02:32 time: 0.0682 data_time: 0.0035 memory: 1788 2022/08/10 21:47:23 - mmengine - INFO - Epoch(val) [9][4060/6282] eta: 0:02:53 time: 0.0780 data_time: 0.0047 memory: 1788 2022/08/10 21:47:24 - mmengine - INFO - Epoch(val) [9][4080/6282] eta: 0:02:54 time: 0.0795 data_time: 0.0047 memory: 1788 2022/08/10 21:47:26 - mmengine - INFO - Epoch(val) [9][4100/6282] eta: 0:02:53 time: 0.0797 data_time: 0.0048 memory: 1788 2022/08/10 21:47:28 - mmengine - INFO - Epoch(val) [9][4120/6282] eta: 0:02:59 time: 0.0831 data_time: 0.0054 memory: 1788 2022/08/10 21:47:30 - mmengine - INFO - Epoch(val) [9][4140/6282] eta: 0:03:24 time: 0.0954 data_time: 0.0110 memory: 1788 2022/08/10 21:47:31 - mmengine - INFO - Epoch(val) [9][4160/6282] eta: 0:02:05 time: 0.0590 data_time: 0.0047 memory: 1677 2022/08/10 21:47:32 - mmengine - INFO - Epoch(val) [9][4180/6282] eta: 0:02:01 time: 0.0578 data_time: 0.0046 memory: 1677 2022/08/10 21:47:33 - mmengine - INFO - Epoch(val) [9][4200/6282] eta: 0:01:55 time: 0.0554 data_time: 0.0037 memory: 1677 2022/08/10 21:47:34 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:01:58 time: 0.0574 data_time: 0.0044 memory: 1677 2022/08/10 21:47:35 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:02:00 time: 0.0592 data_time: 0.0050 memory: 1677 2022/08/10 21:47:36 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:01:49 time: 0.0541 data_time: 0.0034 memory: 1677 2022/08/10 21:47:37 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:01:48 time: 0.0542 data_time: 0.0033 memory: 1677 2022/08/10 21:47:39 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:02:00 time: 0.0607 data_time: 0.0061 memory: 1677 2022/08/10 21:47:40 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:01:47 time: 0.0550 data_time: 0.0058 memory: 1677 2022/08/10 21:47:41 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:01:47 time: 0.0553 data_time: 0.0033 memory: 1677 2022/08/10 21:47:42 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:02:02 time: 0.0635 data_time: 0.0036 memory: 1704 2022/08/10 21:47:43 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:01:56 time: 0.0614 data_time: 0.0041 memory: 1704 2022/08/10 21:47:45 - mmengine - INFO - Epoch(val) [9][4400/6282] eta: 0:01:58 time: 0.0630 data_time: 0.0044 memory: 1704 2022/08/10 21:47:46 - mmengine - INFO - Epoch(val) [9][4420/6282] eta: 0:01:59 time: 0.0642 data_time: 0.0040 memory: 1704 2022/08/10 21:47:47 - mmengine - INFO - Epoch(val) [9][4440/6282] eta: 0:02:04 time: 0.0673 data_time: 0.0043 memory: 1707 2022/08/10 21:47:49 - mmengine - INFO - Epoch(val) [9][4460/6282] eta: 0:02:39 time: 0.0874 data_time: 0.0037 memory: 1707 2022/08/10 21:47:50 - mmengine - INFO - Epoch(val) [9][4480/6282] eta: 0:01:58 time: 0.0657 data_time: 0.0039 memory: 1707 2022/08/10 21:47:52 - mmengine - INFO - Epoch(val) [9][4500/6282] eta: 0:02:07 time: 0.0716 data_time: 0.0056 memory: 1707 2022/08/10 21:47:53 - mmengine - INFO - Epoch(val) [9][4520/6282] eta: 0:01:58 time: 0.0675 data_time: 0.0044 memory: 1724 2022/08/10 21:47:54 - mmengine - INFO - Epoch(val) [9][4540/6282] eta: 0:01:44 time: 0.0599 data_time: 0.0047 memory: 1724 2022/08/10 21:47:56 - mmengine - INFO - Epoch(val) [9][4560/6282] eta: 0:01:37 time: 0.0568 data_time: 0.0038 memory: 1679 2022/08/10 21:47:57 - mmengine - INFO - Epoch(val) [9][4580/6282] eta: 0:01:39 time: 0.0587 data_time: 0.0038 memory: 1679 2022/08/10 21:47:58 - mmengine - INFO - Epoch(val) [9][4600/6282] eta: 0:01:32 time: 0.0552 data_time: 0.0045 memory: 1679 2022/08/10 21:47:59 - mmengine - INFO - Epoch(val) [9][4620/6282] eta: 0:01:36 time: 0.0579 data_time: 0.0038 memory: 1679 2022/08/10 21:48:00 - mmengine - INFO - Epoch(val) [9][4640/6282] eta: 0:01:52 time: 0.0688 data_time: 0.0046 memory: 1707 2022/08/10 21:48:02 - mmengine - INFO - Epoch(val) [9][4660/6282] eta: 0:01:46 time: 0.0656 data_time: 0.0040 memory: 1707 2022/08/10 21:48:03 - mmengine - INFO - Epoch(val) [9][4680/6282] eta: 0:01:47 time: 0.0670 data_time: 0.0036 memory: 1707 2022/08/10 21:48:04 - mmengine - INFO - Epoch(val) [9][4700/6282] eta: 0:01:44 time: 0.0658 data_time: 0.0041 memory: 1707 2022/08/10 21:48:07 - mmengine - INFO - Epoch(val) [9][4720/6282] eta: 0:03:19 time: 0.1280 data_time: 0.0675 memory: 1707 2022/08/10 21:48:08 - mmengine - INFO - Epoch(val) [9][4740/6282] eta: 0:01:49 time: 0.0707 data_time: 0.0170 memory: 1688 2022/08/10 21:48:10 - mmengine - INFO - Epoch(val) [9][4760/6282] eta: 0:01:35 time: 0.0629 data_time: 0.0054 memory: 1729 2022/08/10 21:48:11 - mmengine - INFO - Epoch(val) [9][4780/6282] eta: 0:01:27 time: 0.0579 data_time: 0.0036 memory: 1688 2022/08/10 21:48:12 - mmengine - INFO - Epoch(val) [9][4800/6282] eta: 0:01:32 time: 0.0627 data_time: 0.0042 memory: 1688 2022/08/10 21:48:13 - mmengine - INFO - Epoch(val) [9][4820/6282] eta: 0:01:32 time: 0.0635 data_time: 0.0045 memory: 1704 2022/08/10 21:48:15 - mmengine - INFO - Epoch(val) [9][4840/6282] eta: 0:01:39 time: 0.0692 data_time: 0.0050 memory: 1704 2022/08/10 21:48:16 - mmengine - INFO - Epoch(val) [9][4860/6282] eta: 0:01:34 time: 0.0663 data_time: 0.0048 memory: 1704 2022/08/10 21:48:17 - mmengine - INFO - Epoch(val) [9][4880/6282] eta: 0:01:34 time: 0.0671 data_time: 0.0050 memory: 1704 2022/08/10 21:48:19 - mmengine - INFO - Epoch(val) [9][4900/6282] eta: 0:01:42 time: 0.0744 data_time: 0.0055 memory: 1704 2022/08/10 21:48:20 - mmengine - INFO - Epoch(val) [9][4920/6282] eta: 0:01:30 time: 0.0665 data_time: 0.0055 memory: 1704 2022/08/10 21:48:22 - mmengine - INFO - Epoch(val) [9][4940/6282] eta: 0:01:30 time: 0.0677 data_time: 0.0036 memory: 1704 2022/08/10 21:48:23 - mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:38 time: 0.0742 data_time: 0.0047 memory: 1704 2022/08/10 21:48:25 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:34 time: 0.0722 data_time: 0.0045 memory: 1704 2022/08/10 21:48:26 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:01:25 time: 0.0671 data_time: 0.0043 memory: 1704 2022/08/10 21:48:29 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:02:59 time: 0.1422 data_time: 0.0744 memory: 1704 2022/08/10 21:48:30 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:01:32 time: 0.0742 data_time: 0.0261 memory: 1677 2022/08/10 21:48:32 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:01:32 time: 0.0754 data_time: 0.0198 memory: 1677 2022/08/10 21:48:33 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:01:17 time: 0.0643 data_time: 0.0054 memory: 1723 2022/08/10 21:48:34 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:01:08 time: 0.0580 data_time: 0.0049 memory: 1677 2022/08/10 21:48:35 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:01:07 time: 0.0579 data_time: 0.0044 memory: 1677 2022/08/10 21:48:36 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:01:02 time: 0.0551 data_time: 0.0040 memory: 1677 2022/08/10 21:48:38 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:01:06 time: 0.0590 data_time: 0.0044 memory: 1677 2022/08/10 21:48:40 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:01:56 time: 0.1056 data_time: 0.0073 memory: 1677 2022/08/10 21:48:41 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:01:03 time: 0.0587 data_time: 0.0040 memory: 1677 2022/08/10 21:48:42 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:01:03 time: 0.0600 data_time: 0.0060 memory: 1677 2022/08/10 21:48:43 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:01:04 time: 0.0623 data_time: 0.0045 memory: 1773 2022/08/10 21:48:45 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:01:01 time: 0.0602 data_time: 0.0049 memory: 1677 2022/08/10 21:48:46 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:01:02 time: 0.0627 data_time: 0.0047 memory: 1697 2022/08/10 21:48:47 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:00:59 time: 0.0606 data_time: 0.0058 memory: 1677 2022/08/10 21:48:48 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:00:55 time: 0.0577 data_time: 0.0046 memory: 1677 2022/08/10 21:48:50 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:00:58 time: 0.0624 data_time: 0.0058 memory: 1677 2022/08/10 21:48:51 - mmengine - INFO - Epoch(val) [9][5360/6282] eta: 0:00:52 time: 0.0573 data_time: 0.0042 memory: 1677 2022/08/10 21:48:52 - mmengine - INFO - Epoch(val) [9][5380/6282] eta: 0:00:56 time: 0.0625 data_time: 0.0046 memory: 1747 2022/08/10 21:48:53 - mmengine - INFO - Epoch(val) [9][5400/6282] eta: 0:00:51 time: 0.0585 data_time: 0.0052 memory: 1677 2022/08/10 21:48:54 - mmengine - INFO - Epoch(val) [9][5420/6282] eta: 0:00:51 time: 0.0597 data_time: 0.0048 memory: 1677 2022/08/10 21:48:55 - mmengine - INFO - Epoch(val) [9][5440/6282] eta: 0:00:46 time: 0.0549 data_time: 0.0041 memory: 1677 2022/08/10 21:48:57 - mmengine - INFO - Epoch(val) [9][5460/6282] eta: 0:00:47 time: 0.0574 data_time: 0.0042 memory: 1677 2022/08/10 21:48:58 - mmengine - INFO - Epoch(val) [9][5480/6282] eta: 0:00:47 time: 0.0589 data_time: 0.0046 memory: 1677 2022/08/10 21:48:59 - mmengine - INFO - Epoch(val) [9][5500/6282] eta: 0:00:55 time: 0.0705 data_time: 0.0074 memory: 1677 2022/08/10 21:49:00 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:47 time: 0.0626 data_time: 0.0040 memory: 1686 2022/08/10 21:49:02 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:46 time: 0.0623 data_time: 0.0039 memory: 1686 2022/08/10 21:49:03 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:44 time: 0.0610 data_time: 0.0043 memory: 1686 2022/08/10 21:49:04 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:41 time: 0.0595 data_time: 0.0043 memory: 1686 2022/08/10 21:49:05 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:43 time: 0.0642 data_time: 0.0066 memory: 1686 2022/08/10 21:49:07 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:39 time: 0.0595 data_time: 0.0039 memory: 1686 2022/08/10 21:49:08 - mmengine - INFO - Epoch(val) [9][5640/6282] eta: 0:00:35 time: 0.0550 data_time: 0.0037 memory: 1677 2022/08/10 21:49:09 - mmengine - INFO - Epoch(val) [9][5660/6282] eta: 0:00:33 time: 0.0532 data_time: 0.0034 memory: 1677 2022/08/10 21:49:10 - mmengine - INFO - Epoch(val) [9][5680/6282] eta: 0:00:32 time: 0.0536 data_time: 0.0042 memory: 1677 2022/08/10 21:49:11 - mmengine - INFO - Epoch(val) [9][5700/6282] eta: 0:00:30 time: 0.0521 data_time: 0.0037 memory: 1677 2022/08/10 21:49:12 - mmengine - INFO - Epoch(val) [9][5720/6282] eta: 0:00:32 time: 0.0579 data_time: 0.0036 memory: 1692 2022/08/10 21:49:13 - mmengine - INFO - Epoch(val) [9][5740/6282] eta: 0:00:31 time: 0.0589 data_time: 0.0034 memory: 1692 2022/08/10 21:49:15 - mmengine - INFO - Epoch(val) [9][5760/6282] eta: 0:00:33 time: 0.0642 data_time: 0.0055 memory: 1692 2022/08/10 21:49:16 - mmengine - INFO - Epoch(val) [9][5780/6282] eta: 0:00:31 time: 0.0620 data_time: 0.0039 memory: 1740 2022/08/10 21:49:17 - mmengine - INFO - Epoch(val) [9][5800/6282] eta: 0:00:31 time: 0.0656 data_time: 0.0037 memory: 1692 2022/08/10 21:49:18 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:29 time: 0.0639 data_time: 0.0039 memory: 1692 2022/08/10 21:49:20 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:28 time: 0.0651 data_time: 0.0079 memory: 1686 2022/08/10 21:49:21 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:25 time: 0.0614 data_time: 0.0047 memory: 1686 2022/08/10 21:49:22 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:25 time: 0.0624 data_time: 0.0044 memory: 1686 2022/08/10 21:49:23 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:23 time: 0.0606 data_time: 0.0047 memory: 1686 2022/08/10 21:49:25 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:25 time: 0.0699 data_time: 0.0040 memory: 1686 2022/08/10 21:49:26 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:17 time: 0.0524 data_time: 0.0038 memory: 1677 2022/08/10 21:49:27 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:17 time: 0.0553 data_time: 0.0042 memory: 1677 2022/08/10 21:49:28 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:16 time: 0.0552 data_time: 0.0047 memory: 1677 2022/08/10 21:49:29 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:19 time: 0.0682 data_time: 0.0045 memory: 1704 2022/08/10 21:49:31 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:19 time: 0.0726 data_time: 0.0054 memory: 1704 2022/08/10 21:49:32 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:17 time: 0.0736 data_time: 0.0053 memory: 1704 2022/08/10 21:49:34 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:17 time: 0.0767 data_time: 0.0056 memory: 1715 2022/08/10 21:49:36 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:16 time: 0.0821 data_time: 0.0075 memory: 1715 2022/08/10 21:49:37 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:14 time: 0.0777 data_time: 0.0052 memory: 1873 2022/08/10 21:49:39 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:13 time: 0.0805 data_time: 0.0052 memory: 1704 2022/08/10 21:49:40 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:11 time: 0.0809 data_time: 0.0040 memory: 1840 2022/08/10 21:49:42 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:09 time: 0.0785 data_time: 0.0037 memory: 1840 2022/08/10 21:49:43 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:07 time: 0.0712 data_time: 0.0054 memory: 1704 2022/08/10 21:49:45 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:05 time: 0.0623 data_time: 0.0036 memory: 1704 2022/08/10 21:49:46 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:03 time: 0.0608 data_time: 0.0032 memory: 1704 2022/08/10 21:49:47 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:02 time: 0.0591 data_time: 0.0028 memory: 1704 2022/08/10 21:49:48 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:01 time: 0.0573 data_time: 0.0026 memory: 1704 2022/08/10 21:49:50 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0644 data_time: 0.0026 memory: 1704 2022/08/10 21:54:27 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.2760 2022/08/10 21:54:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_9.pth is removed 2022/08/10 21:54:33 - mmengine - INFO - The best checkpoint with 0.2760 mAP/mAP@0.5IOU at 10 epoch is saved to best_mAP/mAP@0.5IOU_epoch_10.pth. 2022/08/10 21:54:48 - mmengine - INFO - Epoch(train) [10][20/2881] lr: 3.7566e-03 eta: 0:34:10 time: 0.7707 data_time: 0.0977 memory: 15472 grad_norm: 0.1884 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8397 recall@top3: 0.8897 prec@top3: 0.6410 recall@top5: 0.9654 prec@top5: 0.4385 loss_action_cls: 0.0303 loss: 0.0303 2022/08/10 21:55:02 - mmengine - INFO - Epoch(train) [10][40/2881] lr: 3.7050e-03 eta: 0:33:56 time: 0.6849 data_time: 0.0247 memory: 15376 grad_norm: 0.1932 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8730 recall@top3: 0.9286 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4286 loss_action_cls: 0.0314 loss: 0.0314 2022/08/10 21:55:15 - mmengine - INFO - Epoch(train) [10][60/2881] lr: 3.6536e-03 eta: 0:33:41 time: 0.6691 data_time: 0.0219 memory: 15433 grad_norm: 0.1958 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8254 recall@top3: 0.8968 prec@top3: 0.6984 recall@top5: 0.9762 prec@top5: 0.4667 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 21:55:23 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 21:55:29 - mmengine - INFO - Epoch(train) [10][80/2881] lr: 3.6027e-03 eta: 0:33:27 time: 0.7033 data_time: 0.0218 memory: 15433 grad_norm: 0.1913 recall@thr=0.5: 0.9286 prec@thr=0.5: 1.0000 recall@top3: 0.9325 prec@top3: 0.8254 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 21:55:43 - mmengine - INFO - Epoch(train) [10][100/2881] lr: 3.5520e-03 eta: 0:33:13 time: 0.6735 data_time: 0.0217 memory: 15395 grad_norm: 0.1984 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8750 recall@top3: 0.8704 prec@top3: 0.6111 recall@top5: 0.9630 prec@top5: 0.4222 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 21:55:56 - mmengine - INFO - Epoch(train) [10][120/2881] lr: 3.5017e-03 eta: 0:32:58 time: 0.6646 data_time: 0.0217 memory: 15300 grad_norm: 0.1967 recall@thr=0.5: 0.4802 prec@thr=0.5: 0.5952 recall@top3: 0.6508 prec@top3: 0.5714 recall@top5: 0.8770 prec@top5: 0.4381 loss_action_cls: 0.0260 loss: 0.0260 2022/08/10 21:56:10 - mmengine - INFO - Epoch(train) [10][140/2881] lr: 3.4518e-03 eta: 0:32:44 time: 0.7169 data_time: 0.0259 memory: 15414 grad_norm: 0.1845 recall@thr=0.5: 0.9308 prec@thr=0.5: 0.9848 recall@top3: 0.9652 prec@top3: 0.9192 recall@top5: 0.9939 prec@top5: 0.5758 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 21:56:24 - mmengine - INFO - Epoch(train) [10][160/2881] lr: 3.4022e-03 eta: 0:32:30 time: 0.6892 data_time: 0.0214 memory: 15318 grad_norm: 0.2038 recall@thr=0.5: 0.9042 prec@thr=0.5: 0.9271 recall@top3: 0.8313 prec@top3: 0.7222 recall@top5: 0.9833 prec@top5: 0.5417 loss_action_cls: 0.0303 loss: 0.0303 2022/08/10 21:56:37 - mmengine - INFO - Epoch(train) [10][180/2881] lr: 3.3530e-03 eta: 0:32:15 time: 0.6572 data_time: 0.0214 memory: 15242 grad_norm: 0.1957 recall@thr=0.5: 0.8967 prec@thr=0.5: 0.8433 recall@top3: 0.9133 prec@top3: 0.7333 recall@top5: 0.9900 prec@top5: 0.4880 loss_action_cls: 0.0307 loss: 0.0307 2022/08/10 21:56:51 - mmengine - INFO - Epoch(train) [10][200/2881] lr: 3.3041e-03 eta: 0:32:01 time: 0.7045 data_time: 0.0234 memory: 15280 grad_norm: 0.1972 recall@thr=0.5: 0.9601 prec@thr=0.5: 0.9130 recall@top3: 0.9601 prec@top3: 0.8261 recall@top5: 1.0000 prec@top5: 0.5217 loss_action_cls: 0.0272 loss: 0.0272 2022/08/10 21:57:05 - mmengine - INFO - Epoch(train) [10][220/2881] lr: 3.2555e-03 eta: 0:31:46 time: 0.6897 data_time: 0.0255 memory: 15452 grad_norm: 0.1933 recall@thr=0.5: 0.8635 prec@thr=0.5: 0.9122 recall@top3: 0.8263 prec@top3: 0.8974 recall@top5: 0.9904 prec@top5: 0.6769 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 21:57:19 - mmengine - INFO - Epoch(train) [10][240/2881] lr: 3.2073e-03 eta: 0:31:32 time: 0.6794 data_time: 0.0223 memory: 15548 grad_norm: 0.2037 recall@thr=0.5: 0.6995 prec@thr=0.5: 0.7707 recall@top3: 0.7500 prec@top3: 0.5455 recall@top5: 0.8434 prec@top5: 0.3879 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 21:57:33 - mmengine - INFO - Epoch(train) [10][260/2881] lr: 3.1594e-03 eta: 0:31:18 time: 0.7143 data_time: 0.0231 memory: 15357 grad_norm: 0.1940 recall@thr=0.5: 0.7034 prec@thr=0.5: 0.8147 recall@top3: 0.8088 prec@top3: 0.6373 recall@top5: 0.9191 prec@top5: 0.4529 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 21:57:47 - mmengine - INFO - Epoch(train) [10][280/2881] lr: 3.1119e-03 eta: 0:31:03 time: 0.6981 data_time: 0.0237 memory: 15395 grad_norm: 0.1965 recall@thr=0.5: 0.7596 prec@thr=0.5: 0.7885 recall@top3: 0.8558 prec@top3: 0.7436 recall@top5: 0.8846 prec@top5: 0.4692 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 21:58:01 - mmengine - INFO - Epoch(train) [10][300/2881] lr: 3.0648e-03 eta: 0:30:49 time: 0.6928 data_time: 0.0229 memory: 15300 grad_norm: 0.1907 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7833 recall@top3: 0.8167 prec@top3: 0.6833 recall@top5: 0.9708 prec@top5: 0.5000 loss_action_cls: 0.0265 loss: 0.0265 2022/08/10 21:58:14 - mmengine - INFO - Epoch(train) [10][320/2881] lr: 3.0180e-03 eta: 0:30:34 time: 0.6550 data_time: 0.0235 memory: 15433 grad_norm: 0.1911 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.9500 recall@top3: 1.0000 prec@top3: 0.8667 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 21:58:28 - mmengine - INFO - Epoch(train) [10][340/2881] lr: 2.9715e-03 eta: 0:30:20 time: 0.7082 data_time: 0.0230 memory: 15357 grad_norm: 0.2056 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8296 recall@top3: 0.8102 prec@top3: 0.7037 recall@top5: 0.9120 prec@top5: 0.5000 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 21:58:43 - mmengine - INFO - Epoch(train) [10][360/2881] lr: 2.9254e-03 eta: 0:30:06 time: 0.7205 data_time: 0.0229 memory: 15701 grad_norm: 0.1865 recall@thr=0.5: 0.7897 prec@thr=0.5: 0.8651 recall@top3: 0.8452 prec@top3: 0.6508 recall@top5: 0.9167 prec@top5: 0.4381 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 21:58:57 - mmengine - INFO - Epoch(train) [10][380/2881] lr: 2.8796e-03 eta: 0:29:51 time: 0.7057 data_time: 0.0221 memory: 15165 grad_norm: 0.1930 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9000 recall@top3: 0.8625 prec@top3: 0.6833 recall@top5: 0.8958 prec@top5: 0.4300 loss_action_cls: 0.0236 loss: 0.0236 2022/08/10 21:59:11 - mmengine - INFO - Epoch(train) [10][400/2881] lr: 2.8342e-03 eta: 0:29:37 time: 0.7068 data_time: 0.0242 memory: 15548 grad_norm: 0.2025 recall@thr=0.5: 0.7394 prec@thr=0.5: 0.9318 recall@top3: 0.8348 prec@top3: 0.7121 recall@top5: 0.9773 prec@top5: 0.5273 loss_action_cls: 0.0295 loss: 0.0295 2022/08/10 21:59:25 - mmengine - INFO - Epoch(train) [10][420/2881] lr: 2.7891e-03 eta: 0:29:23 time: 0.6978 data_time: 0.0255 memory: 15606 grad_norm: 0.2016 recall@thr=0.5: 0.9008 prec@thr=0.5: 0.8690 recall@top3: 0.9246 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4762 loss_action_cls: 0.0252 loss: 0.0252 2022/08/10 21:59:38 - mmengine - INFO - Epoch(train) [10][440/2881] lr: 2.7444e-03 eta: 0:29:08 time: 0.6806 data_time: 0.0208 memory: 15376 grad_norm: 0.1937 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8208 recall@top3: 0.8875 prec@top3: 0.7500 recall@top5: 0.9167 prec@top5: 0.4700 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 21:59:52 - mmengine - INFO - Epoch(train) [10][460/2881] lr: 2.7001e-03 eta: 0:28:54 time: 0.7046 data_time: 0.0225 memory: 15280 grad_norm: 0.1921 recall@thr=0.5: 0.7735 prec@thr=0.5: 0.9012 recall@top3: 0.8469 prec@top3: 0.6790 recall@top5: 0.9759 prec@top5: 0.4741 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 22:00:06 - mmengine - INFO - Epoch(train) [10][480/2881] lr: 2.6560e-03 eta: 0:28:40 time: 0.6971 data_time: 0.0220 memory: 15433 grad_norm: 0.1963 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.9130 recall@top3: 0.8804 prec@top3: 0.7536 recall@top5: 0.9783 prec@top5: 0.5130 loss_action_cls: 0.0310 loss: 0.0310 2022/08/10 22:00:20 - mmengine - INFO - Epoch(train) [10][500/2881] lr: 2.6124e-03 eta: 0:28:25 time: 0.6810 data_time: 0.0221 memory: 15376 grad_norm: 0.1954 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9048 recall@top3: 0.8631 prec@top3: 0.6667 recall@top5: 0.9048 prec@top5: 0.4286 loss_action_cls: 0.0267 loss: 0.0267 2022/08/10 22:00:35 - mmengine - INFO - Epoch(train) [10][520/2881] lr: 2.5691e-03 eta: 0:28:11 time: 0.7297 data_time: 0.0230 memory: 15548 grad_norm: 0.1920 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.6905 recall@top3: 0.6984 prec@top3: 0.6349 recall@top5: 0.8452 prec@top5: 0.4667 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 22:00:49 - mmengine - INFO - Epoch(train) [10][540/2881] lr: 2.5261e-03 eta: 0:27:57 time: 0.7346 data_time: 0.0243 memory: 15376 grad_norm: 0.1951 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.8651 recall@top3: 0.9087 prec@top3: 0.7143 recall@top5: 0.9683 prec@top5: 0.4762 loss_action_cls: 0.0274 loss: 0.0274 2022/08/10 22:01:04 - mmengine - INFO - Epoch(train) [10][560/2881] lr: 2.4835e-03 eta: 0:27:42 time: 0.7272 data_time: 0.0249 memory: 15452 grad_norm: 0.1976 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.8125 recall@top3: 0.7946 prec@top3: 0.7857 recall@top5: 0.9107 prec@top5: 0.5500 loss_action_cls: 0.0270 loss: 0.0270 2022/08/10 22:01:18 - mmengine - INFO - Epoch(train) [10][580/2881] lr: 2.4413e-03 eta: 0:27:28 time: 0.6842 data_time: 0.0222 memory: 15433 grad_norm: 0.2011 recall@thr=0.5: 0.8025 prec@thr=0.5: 0.7250 recall@top3: 0.8967 prec@top3: 0.6833 recall@top5: 0.9750 prec@top5: 0.4600 loss_action_cls: 0.0290 loss: 0.0290 2022/08/10 22:01:32 - mmengine - INFO - Epoch(train) [10][600/2881] lr: 2.3994e-03 eta: 0:27:14 time: 0.6990 data_time: 0.0220 memory: 15318 grad_norm: 0.2016 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8750 recall@top3: 0.8935 prec@top3: 0.7407 recall@top5: 0.9861 prec@top5: 0.5000 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 22:01:46 - mmengine - INFO - Epoch(train) [10][620/2881] lr: 2.3578e-03 eta: 0:26:59 time: 0.7424 data_time: 0.0260 memory: 15261 grad_norm: 0.1921 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.7875 recall@top3: 0.9250 prec@top3: 0.7000 recall@top5: 0.9417 prec@top5: 0.4300 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 22:02:01 - mmengine - INFO - Epoch(train) [10][640/2881] lr: 2.3167e-03 eta: 0:26:45 time: 0.7248 data_time: 0.0288 memory: 15414 grad_norm: 0.1935 recall@thr=0.5: 0.8364 prec@thr=0.5: 0.8951 recall@top3: 0.9198 prec@top3: 0.8272 recall@top5: 0.9877 prec@top5: 0.5481 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 22:02:14 - mmengine - INFO - Epoch(train) [10][660/2881] lr: 2.2758e-03 eta: 0:26:31 time: 0.6799 data_time: 0.0223 memory: 15376 grad_norm: 0.2004 recall@thr=0.5: 0.7473 prec@thr=0.5: 0.8567 recall@top3: 0.8080 prec@top3: 0.7467 recall@top5: 0.9867 prec@top5: 0.5680 loss_action_cls: 0.0264 loss: 0.0264 2022/08/10 22:02:29 - mmengine - INFO - Epoch(train) [10][680/2881] lr: 2.2353e-03 eta: 0:26:16 time: 0.7130 data_time: 0.0226 memory: 15395 grad_norm: 0.1944 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.7632 recall@top3: 0.9737 prec@top3: 0.4211 recall@top5: 1.0000 prec@top5: 0.2632 loss_action_cls: 0.0260 loss: 0.0260 2022/08/10 22:02:44 - mmengine - INFO - Epoch(train) [10][700/2881] lr: 2.1952e-03 eta: 0:26:02 time: 0.7509 data_time: 0.0255 memory: 15452 grad_norm: 0.1980 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.8611 recall@top3: 0.9537 prec@top3: 0.8148 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0266 loss: 0.0266 2022/08/10 22:02:58 - mmengine - INFO - Epoch(train) [10][720/2881] lr: 2.1555e-03 eta: 0:25:48 time: 0.6996 data_time: 0.0248 memory: 15395 grad_norm: 0.1983 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.9118 recall@top3: 0.9118 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0270 loss: 0.0270 2022/08/10 22:03:12 - mmengine - INFO - Epoch(train) [10][740/2881] lr: 2.1160e-03 eta: 0:25:33 time: 0.6928 data_time: 0.0234 memory: 15491 grad_norm: 0.2002 recall@thr=0.5: 0.8091 prec@thr=0.5: 0.7903 recall@top3: 0.9005 prec@top3: 0.7097 recall@top5: 0.9462 prec@top5: 0.4581 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 22:03:25 - mmengine - INFO - Epoch(train) [10][760/2881] lr: 2.0770e-03 eta: 0:25:19 time: 0.6928 data_time: 0.0240 memory: 15300 grad_norm: 0.1900 recall@thr=0.5: 0.7185 prec@thr=0.5: 0.9383 recall@top3: 0.8290 prec@top3: 0.7160 recall@top5: 0.9451 prec@top5: 0.5037 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 22:03:39 - mmengine - INFO - Epoch(train) [10][780/2881] lr: 2.0383e-03 eta: 0:25:04 time: 0.6878 data_time: 0.0226 memory: 15261 grad_norm: 0.1972 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.8507 recall@top3: 0.8958 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0283 loss: 0.0283 2022/08/10 22:03:53 - mmengine - INFO - Epoch(train) [10][800/2881] lr: 1.9999e-03 eta: 0:24:50 time: 0.7089 data_time: 0.0224 memory: 15472 grad_norm: 0.1953 recall@thr=0.5: 0.7009 prec@thr=0.5: 0.8312 recall@top3: 0.8162 prec@top3: 0.8291 recall@top5: 0.9594 prec@top5: 0.5846 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 22:04:08 - mmengine - INFO - Epoch(train) [10][820/2881] lr: 1.9620e-03 eta: 0:24:36 time: 0.7386 data_time: 0.0271 memory: 15414 grad_norm: 0.1961 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8389 recall@top3: 0.8556 prec@top3: 0.6444 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0265 loss: 0.0265 2022/08/10 22:04:22 - mmengine - INFO - Epoch(train) [10][840/2881] lr: 1.9243e-03 eta: 0:24:21 time: 0.7108 data_time: 0.0255 memory: 15510 grad_norm: 0.1962 recall@thr=0.5: 0.9735 prec@thr=0.5: 0.9508 recall@top3: 0.9167 prec@top3: 0.7727 recall@top5: 1.0000 prec@top5: 0.5273 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 22:04:36 - mmengine - INFO - Epoch(train) [10][860/2881] lr: 1.8871e-03 eta: 0:24:07 time: 0.6895 data_time: 0.0227 memory: 15357 grad_norm: 0.1950 recall@thr=0.5: 0.7862 prec@thr=0.5: 0.7971 recall@top3: 0.7754 prec@top3: 0.7101 recall@top5: 0.9783 prec@top5: 0.5478 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 22:04:50 - mmengine - INFO - Epoch(train) [10][880/2881] lr: 1.8501e-03 eta: 0:23:53 time: 0.6709 data_time: 0.0228 memory: 15395 grad_norm: 0.2054 recall@thr=0.5: 0.9105 prec@thr=0.5: 0.8246 recall@top3: 0.8737 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 22:05:04 - mmengine - INFO - Epoch(train) [10][900/2881] lr: 1.8136e-03 eta: 0:23:38 time: 0.7001 data_time: 0.0239 memory: 15242 grad_norm: 0.1946 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.7756 recall@top3: 0.9327 prec@top3: 0.6667 recall@top5: 0.9808 prec@top5: 0.4308 loss_action_cls: 0.0315 loss: 0.0315 2022/08/10 22:05:17 - mmengine - INFO - Epoch(train) [10][920/2881] lr: 1.7774e-03 eta: 0:23:24 time: 0.6905 data_time: 0.0242 memory: 15338 grad_norm: 0.2072 recall@thr=0.5: 0.6450 prec@thr=0.5: 0.8275 recall@top3: 0.7700 prec@top3: 0.7667 recall@top5: 0.8717 prec@top5: 0.5500 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 22:05:32 - mmengine - INFO - Epoch(train) [10][940/2881] lr: 1.7415e-03 eta: 0:23:10 time: 0.7079 data_time: 0.0243 memory: 15280 grad_norm: 0.2017 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.9298 recall@top3: 0.8684 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5789 loss_action_cls: 0.0320 loss: 0.0320 2022/08/10 22:05:46 - mmengine - INFO - Epoch(train) [10][960/2881] lr: 1.7061e-03 eta: 0:22:55 time: 0.6950 data_time: 0.0325 memory: 15338 grad_norm: 0.2011 recall@thr=0.5: 0.6414 prec@thr=0.5: 0.6782 recall@top3: 0.7793 prec@top3: 0.6782 recall@top5: 0.9425 prec@top5: 0.4897 loss_action_cls: 0.0247 loss: 0.0247 2022/08/10 22:05:59 - mmengine - INFO - Epoch(train) [10][980/2881] lr: 1.6709e-03 eta: 0:22:41 time: 0.6970 data_time: 0.0198 memory: 15318 grad_norm: 0.1948 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.8214 recall@top3: 0.9127 prec@top3: 0.7778 recall@top5: 0.9841 prec@top5: 0.5143 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 22:06:13 - mmengine - INFO - Epoch(train) [10][1000/2881] lr: 1.6362e-03 eta: 0:22:27 time: 0.6748 data_time: 0.0233 memory: 15433 grad_norm: 0.1977 recall@thr=0.5: 0.8187 prec@thr=0.5: 0.8333 recall@top3: 0.8507 prec@top3: 0.7333 recall@top5: 0.9867 prec@top5: 0.5360 loss_action_cls: 0.0273 loss: 0.0273 2022/08/10 22:06:28 - mmengine - INFO - Epoch(train) [10][1020/2881] lr: 1.6018e-03 eta: 0:22:12 time: 0.7294 data_time: 0.0267 memory: 15414 grad_norm: 0.1996 recall@thr=0.5: 0.9118 prec@thr=0.5: 0.7647 recall@top3: 0.9118 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 22:06:42 - mmengine - INFO - Epoch(train) [10][1040/2881] lr: 1.5677e-03 eta: 0:21:58 time: 0.7259 data_time: 0.0268 memory: 15510 grad_norm: 0.2022 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.8631 recall@top3: 0.8363 prec@top3: 0.7738 recall@top5: 0.9018 prec@top5: 0.5143 loss_action_cls: 0.0267 loss: 0.0267 2022/08/10 22:06:56 - mmengine - INFO - Epoch(train) [10][1060/2881] lr: 1.5340e-03 eta: 0:21:44 time: 0.6883 data_time: 0.0231 memory: 15376 grad_norm: 0.1953 recall@thr=0.5: 0.9021 prec@thr=0.5: 0.9465 recall@top3: 0.9215 prec@top3: 0.9028 recall@top5: 0.9694 prec@top5: 0.5833 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 22:07:04 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 22:07:10 - mmengine - INFO - Epoch(train) [10][1080/2881] lr: 1.5007e-03 eta: 0:21:29 time: 0.7017 data_time: 0.0242 memory: 15395 grad_norm: 0.2013 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8106 recall@top3: 0.7879 prec@top3: 0.6970 recall@top5: 0.8864 prec@top5: 0.4727 loss_action_cls: 0.0307 loss: 0.0307 2022/08/10 22:07:24 - mmengine - INFO - Epoch(train) [10][1100/2881] lr: 1.4678e-03 eta: 0:21:15 time: 0.7187 data_time: 0.0240 memory: 15395 grad_norm: 0.1982 recall@thr=0.5: 0.9174 prec@thr=0.5: 0.9239 recall@top3: 0.8746 prec@top3: 0.7971 recall@top5: 0.9391 prec@top5: 0.5304 loss_action_cls: 0.0261 loss: 0.0261 2022/08/10 22:07:38 - mmengine - INFO - Epoch(train) [10][1120/2881] lr: 1.4351e-03 eta: 0:21:01 time: 0.6782 data_time: 0.0266 memory: 15280 grad_norm: 0.2001 recall@thr=0.5: 0.7656 prec@thr=0.5: 0.8125 recall@top3: 0.8802 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 22:07:52 - mmengine - INFO - Epoch(train) [10][1140/2881] lr: 1.4029e-03 eta: 0:20:46 time: 0.6900 data_time: 0.0279 memory: 15300 grad_norm: 0.1976 recall@thr=0.5: 0.8173 prec@thr=0.5: 0.8800 recall@top3: 0.8280 prec@top3: 0.8267 recall@top5: 0.9640 prec@top5: 0.5600 loss_action_cls: 0.0291 loss: 0.0291 2022/08/10 22:08:05 - mmengine - INFO - Epoch(train) [10][1160/2881] lr: 1.3710e-03 eta: 0:20:32 time: 0.6875 data_time: 0.0243 memory: 15280 grad_norm: 0.1978 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7901 recall@top3: 0.8395 prec@top3: 0.6790 recall@top5: 0.9012 prec@top5: 0.4370 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 22:08:20 - mmengine - INFO - Epoch(train) [10][1180/2881] lr: 1.3395e-03 eta: 0:20:18 time: 0.7210 data_time: 0.0229 memory: 15338 grad_norm: 0.1990 recall@thr=0.5: 0.9222 prec@thr=0.5: 1.0000 recall@top3: 0.9278 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0271 loss: 0.0271 2022/08/10 22:08:35 - mmengine - INFO - Epoch(train) [10][1200/2881] lr: 1.3083e-03 eta: 0:20:03 time: 0.7447 data_time: 0.0284 memory: 15414 grad_norm: 0.1935 recall@thr=0.5: 0.8654 prec@thr=0.5: 0.8782 recall@top3: 0.8526 prec@top3: 0.6795 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 22:08:48 - mmengine - INFO - Epoch(train) [10][1220/2881] lr: 1.2775e-03 eta: 0:19:49 time: 0.6802 data_time: 0.0231 memory: 15338 grad_norm: 0.1943 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9750 recall@top3: 0.8237 prec@top3: 0.8205 recall@top5: 0.9487 prec@top5: 0.5846 loss_action_cls: 0.0262 loss: 0.0262 2022/08/10 22:09:02 - mmengine - INFO - Epoch(train) [10][1240/2881] lr: 1.2471e-03 eta: 0:19:35 time: 0.6994 data_time: 0.0222 memory: 15376 grad_norm: 0.2034 recall@thr=0.5: 0.7936 prec@thr=0.5: 0.8295 recall@top3: 0.7603 prec@top3: 0.6923 recall@top5: 0.9295 prec@top5: 0.5308 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 22:09:16 - mmengine - INFO - Epoch(train) [10][1260/2881] lr: 1.2170e-03 eta: 0:19:20 time: 0.6836 data_time: 0.0221 memory: 15300 grad_norm: 0.2057 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6071 recall@top3: 0.8095 prec@top3: 0.4762 recall@top5: 0.8571 prec@top5: 0.3143 loss_action_cls: 0.0311 loss: 0.0311 2022/08/10 22:09:30 - mmengine - INFO - Epoch(train) [10][1280/2881] lr: 1.1873e-03 eta: 0:19:06 time: 0.6990 data_time: 0.0230 memory: 15548 grad_norm: 0.2027 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.9333 recall@top3: 1.0000 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 22:09:45 - mmengine - INFO - Epoch(train) [10][1300/2881] lr: 1.1580e-03 eta: 0:18:52 time: 0.7359 data_time: 0.0230 memory: 15644 grad_norm: 0.2016 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8636 recall@top3: 0.9053 prec@top3: 0.6667 recall@top5: 0.9697 prec@top5: 0.4455 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 22:09:59 - mmengine - INFO - Epoch(train) [10][1320/2881] lr: 1.1290e-03 eta: 0:18:37 time: 0.6953 data_time: 0.0221 memory: 15433 grad_norm: 0.1890 recall@thr=0.5: 0.8728 prec@thr=0.5: 0.8421 recall@top3: 0.9079 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0269 loss: 0.0269 2022/08/10 22:10:13 - mmengine - INFO - Epoch(train) [10][1340/2881] lr: 1.1004e-03 eta: 0:18:23 time: 0.7092 data_time: 0.0215 memory: 15433 grad_norm: 0.1934 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.9118 recall@top3: 0.9216 prec@top3: 0.7255 recall@top5: 0.9804 prec@top5: 0.4706 loss_action_cls: 0.0300 loss: 0.0300 2022/08/10 22:10:27 - mmengine - INFO - Epoch(train) [10][1360/2881] lr: 1.0721e-03 eta: 0:18:09 time: 0.7242 data_time: 0.0217 memory: 15567 grad_norm: 0.1955 recall@thr=0.5: 0.8988 prec@thr=0.5: 0.8671 recall@top3: 0.8810 prec@top3: 0.8492 recall@top5: 0.9881 prec@top5: 0.5905 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 22:10:41 - mmengine - INFO - Epoch(train) [10][1380/2881] lr: 1.0442e-03 eta: 0:17:54 time: 0.7097 data_time: 0.0219 memory: 15548 grad_norm: 0.1938 recall@thr=0.5: 0.7713 prec@thr=0.5: 0.8102 recall@top3: 0.7718 prec@top3: 0.7222 recall@top5: 0.9120 prec@top5: 0.5333 loss_action_cls: 0.0293 loss: 0.0293 2022/08/10 22:10:56 - mmengine - INFO - Epoch(train) [10][1400/2881] lr: 1.0167e-03 eta: 0:17:40 time: 0.7075 data_time: 0.0248 memory: 15357 grad_norm: 0.1887 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.8977 recall@top3: 0.9545 prec@top3: 0.8636 recall@top5: 1.0000 prec@top5: 0.5455 loss_action_cls: 0.0257 loss: 0.0257 2022/08/10 22:11:10 - mmengine - INFO - Epoch(train) [10][1420/2881] lr: 9.8953e-04 eta: 0:17:26 time: 0.7043 data_time: 0.0222 memory: 15376 grad_norm: 0.1906 recall@thr=0.5: 0.7848 prec@thr=0.5: 0.9053 recall@top3: 0.9030 prec@top3: 0.7424 recall@top5: 0.9818 prec@top5: 0.5000 loss_action_cls: 0.0264 loss: 0.0264 2022/08/10 22:11:24 - mmengine - INFO - Epoch(train) [10][1440/2881] lr: 9.6273e-04 eta: 0:17:11 time: 0.6991 data_time: 0.0221 memory: 15395 grad_norm: 0.1911 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.8788 recall@top3: 0.8939 prec@top3: 0.8030 recall@top5: 0.9545 prec@top5: 0.5273 loss_action_cls: 0.0274 loss: 0.0274 2022/08/10 22:11:38 - mmengine - INFO - Epoch(train) [10][1460/2881] lr: 9.3629e-04 eta: 0:16:57 time: 0.7165 data_time: 0.0225 memory: 15261 grad_norm: 0.1957 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.8246 recall@top3: 0.9386 prec@top3: 0.7018 recall@top5: 0.9737 prec@top5: 0.4421 loss_action_cls: 0.0284 loss: 0.0284 2022/08/10 22:11:52 - mmengine - INFO - Epoch(train) [10][1480/2881] lr: 9.1022e-04 eta: 0:16:43 time: 0.6895 data_time: 0.0229 memory: 15491 grad_norm: 0.1999 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7368 recall@top3: 0.9123 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0292 loss: 0.0292 2022/08/10 22:12:06 - mmengine - INFO - Epoch(train) [10][1500/2881] lr: 8.8451e-04 eta: 0:16:28 time: 0.6958 data_time: 0.0218 memory: 15300 grad_norm: 0.1892 recall@thr=0.5: 0.8973 prec@thr=0.5: 0.9200 recall@top3: 0.9013 prec@top3: 0.7600 recall@top5: 1.0000 prec@top5: 0.5360 loss_action_cls: 0.0253 loss: 0.0253 2022/08/10 22:12:21 - mmengine - INFO - Epoch(train) [10][1520/2881] lr: 8.5917e-04 eta: 0:16:14 time: 0.7445 data_time: 0.0225 memory: 15567 grad_norm: 0.1928 recall@thr=0.5: 0.9016 prec@thr=0.5: 0.9127 recall@top3: 0.9254 prec@top3: 0.7937 recall@top5: 0.9905 prec@top5: 0.5238 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 22:12:34 - mmengine - INFO - Epoch(train) [10][1540/2881] lr: 8.3419e-04 eta: 0:16:00 time: 0.6879 data_time: 0.0235 memory: 15357 grad_norm: 0.1923 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8437 recall@top3: 0.9531 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.4125 loss_action_cls: 0.0286 loss: 0.0286 2022/08/10 22:12:49 - mmengine - INFO - Epoch(train) [10][1560/2881] lr: 8.0958e-04 eta: 0:15:45 time: 0.7088 data_time: 0.0248 memory: 15376 grad_norm: 0.1989 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.9683 recall@top3: 0.8730 prec@top3: 0.7619 recall@top5: 0.9841 prec@top5: 0.5143 loss_action_cls: 0.0262 loss: 0.0262 2022/08/10 22:13:02 - mmengine - INFO - Epoch(train) [10][1580/2881] lr: 7.8534e-04 eta: 0:15:31 time: 0.6940 data_time: 0.0233 memory: 15223 grad_norm: 0.1917 recall@thr=0.5: 0.7622 prec@thr=0.5: 0.8889 recall@top3: 0.7689 prec@top3: 0.7778 recall@top5: 0.9233 prec@top5: 0.5867 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 22:13:16 - mmengine - INFO - Epoch(train) [10][1600/2881] lr: 7.6145e-04 eta: 0:15:17 time: 0.6997 data_time: 0.0234 memory: 15242 grad_norm: 0.2003 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7955 recall@top3: 0.7121 prec@top3: 0.6970 recall@top5: 0.9659 prec@top5: 0.5364 loss_action_cls: 0.0322 loss: 0.0322 2022/08/10 22:13:31 - mmengine - INFO - Epoch(train) [10][1620/2881] lr: 7.3794e-04 eta: 0:15:02 time: 0.7190 data_time: 0.0240 memory: 15300 grad_norm: 0.1927 recall@thr=0.5: 0.7428 prec@thr=0.5: 0.8551 recall@top3: 0.8442 prec@top3: 0.8261 recall@top5: 0.9710 prec@top5: 0.5913 loss_action_cls: 0.0266 loss: 0.0266 2022/08/10 22:13:45 - mmengine - INFO - Epoch(train) [10][1640/2881] lr: 7.1479e-04 eta: 0:14:48 time: 0.7102 data_time: 0.0230 memory: 15261 grad_norm: 0.1886 recall@thr=0.5: 0.8533 prec@thr=0.5: 0.8033 recall@top3: 0.8800 prec@top3: 0.7200 recall@top5: 1.0000 prec@top5: 0.5040 loss_action_cls: 0.0257 loss: 0.0257 2022/08/10 22:13:59 - mmengine - INFO - Epoch(train) [10][1660/2881] lr: 6.9201e-04 eta: 0:14:34 time: 0.7107 data_time: 0.0212 memory: 15491 grad_norm: 0.1964 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.9467 recall@top3: 0.9067 prec@top3: 0.8000 recall@top5: 0.9900 prec@top5: 0.5440 loss_action_cls: 0.0261 loss: 0.0261 2022/08/10 22:14:13 - mmengine - INFO - Epoch(train) [10][1680/2881] lr: 6.6959e-04 eta: 0:14:19 time: 0.6906 data_time: 0.0229 memory: 15472 grad_norm: 0.2076 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8580 recall@top3: 0.8735 prec@top3: 0.7037 recall@top5: 0.9537 prec@top5: 0.4593 loss_action_cls: 0.0313 loss: 0.0313 2022/08/10 22:14:27 - mmengine - INFO - Epoch(train) [10][1700/2881] lr: 6.4754e-04 eta: 0:14:05 time: 0.6969 data_time: 0.0227 memory: 15318 grad_norm: 0.1941 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.9306 recall@top3: 0.9167 prec@top3: 0.7407 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0264 loss: 0.0264 2022/08/10 22:14:42 - mmengine - INFO - Epoch(train) [10][1720/2881] lr: 6.2586e-04 eta: 0:13:51 time: 0.7233 data_time: 0.0225 memory: 15204 grad_norm: 0.1983 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8250 recall@top3: 0.8267 prec@top3: 0.8000 recall@top5: 0.9167 prec@top5: 0.5500 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 22:14:56 - mmengine - INFO - Epoch(train) [10][1740/2881] lr: 6.0454e-04 eta: 0:13:36 time: 0.7033 data_time: 0.0289 memory: 15376 grad_norm: 0.1980 recall@thr=0.5: 0.8694 prec@thr=0.5: 0.8583 recall@top3: 0.9278 prec@top3: 0.7333 recall@top5: 0.9889 prec@top5: 0.4867 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 22:15:09 - mmengine - INFO - Epoch(train) [10][1760/2881] lr: 5.8360e-04 eta: 0:13:22 time: 0.6585 data_time: 0.0224 memory: 15414 grad_norm: 0.1999 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8437 recall@top3: 0.7882 prec@top3: 0.7083 recall@top5: 0.8750 prec@top5: 0.4833 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 22:15:23 - mmengine - INFO - Epoch(train) [10][1780/2881] lr: 5.6301e-04 eta: 0:13:08 time: 0.7004 data_time: 0.0251 memory: 15338 grad_norm: 0.1974 recall@thr=0.5: 0.9420 prec@thr=0.5: 0.8841 recall@top3: 0.9130 prec@top3: 0.7826 recall@top5: 1.0000 prec@top5: 0.5217 loss_action_cls: 0.0263 loss: 0.0263 2022/08/10 22:15:37 - mmengine - INFO - Epoch(train) [10][1800/2881] lr: 5.4280e-04 eta: 0:12:53 time: 0.7068 data_time: 0.0229 memory: 15242 grad_norm: 0.2012 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8116 recall@top3: 0.8007 prec@top3: 0.6087 recall@top5: 0.9239 prec@top5: 0.4348 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 22:15:51 - mmengine - INFO - Epoch(train) [10][1820/2881] lr: 5.2295e-04 eta: 0:12:39 time: 0.6887 data_time: 0.0232 memory: 15204 grad_norm: 0.1885 recall@thr=0.5: 0.7867 prec@thr=0.5: 0.8333 recall@top3: 0.8467 prec@top3: 0.7467 recall@top5: 0.9667 prec@top5: 0.5040 loss_action_cls: 0.0258 loss: 0.0258 2022/08/10 22:16:06 - mmengine - INFO - Epoch(train) [10][1840/2881] lr: 5.0348e-04 eta: 0:12:25 time: 0.7467 data_time: 0.0221 memory: 15357 grad_norm: 0.1937 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8759 recall@top3: 0.7722 prec@top3: 0.8148 recall@top5: 0.9722 prec@top5: 0.6667 loss_action_cls: 0.0273 loss: 0.0273 2022/08/10 22:16:19 - mmengine - INFO - Epoch(train) [10][1860/2881] lr: 4.8436e-04 eta: 0:12:10 time: 0.6533 data_time: 0.0232 memory: 15318 grad_norm: 0.1983 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7614 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9545 prec@top5: 0.5182 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 22:16:33 - mmengine - INFO - Epoch(train) [10][1880/2881] lr: 4.6562e-04 eta: 0:11:56 time: 0.7230 data_time: 0.0232 memory: 15318 grad_norm: 0.1987 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.9444 recall@top3: 0.9444 prec@top3: 0.8413 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0246 loss: 0.0246 2022/08/10 22:16:48 - mmengine - INFO - Epoch(train) [10][1900/2881] lr: 4.4725e-04 eta: 0:11:42 time: 0.7259 data_time: 0.0297 memory: 15452 grad_norm: 0.2068 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.7372 recall@top3: 0.7468 prec@top3: 0.6667 recall@top5: 0.8974 prec@top5: 0.4615 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 22:17:02 - mmengine - INFO - Epoch(train) [10][1920/2881] lr: 4.2924e-04 eta: 0:11:27 time: 0.6988 data_time: 0.0219 memory: 15491 grad_norm: 0.1922 recall@thr=0.5: 0.6840 prec@thr=0.5: 0.8437 recall@top3: 0.7431 prec@top3: 0.6806 recall@top5: 0.8924 prec@top5: 0.4833 loss_action_cls: 0.0308 loss: 0.0308 2022/08/10 22:17:16 - mmengine - INFO - Epoch(train) [10][1940/2881] lr: 4.1160e-04 eta: 0:11:13 time: 0.7107 data_time: 0.0243 memory: 15338 grad_norm: 0.2001 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8480 recall@top3: 0.7868 prec@top3: 0.7549 recall@top5: 0.9412 prec@top5: 0.5412 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 22:17:30 - mmengine - INFO - Epoch(train) [10][1960/2881] lr: 3.9433e-04 eta: 0:10:59 time: 0.6996 data_time: 0.0228 memory: 15586 grad_norm: 0.1964 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.9167 recall@top3: 0.9208 prec@top3: 0.7833 recall@top5: 0.9833 prec@top5: 0.5200 loss_action_cls: 0.0263 loss: 0.0263 2022/08/10 22:17:44 - mmengine - INFO - Epoch(train) [10][1980/2881] lr: 3.7743e-04 eta: 0:10:44 time: 0.7287 data_time: 0.0264 memory: 15567 grad_norm: 0.2005 recall@thr=0.5: 0.8136 prec@thr=0.5: 0.9402 recall@top3: 0.8242 prec@top3: 0.8788 recall@top5: 0.9591 prec@top5: 0.6364 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 22:17:58 - mmengine - INFO - Epoch(train) [10][2000/2881] lr: 3.6090e-04 eta: 0:10:30 time: 0.6913 data_time: 0.0220 memory: 15300 grad_norm: 0.1945 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9638 recall@top3: 0.9420 prec@top3: 0.8406 recall@top5: 1.0000 prec@top5: 0.5478 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 22:18:12 - mmengine - INFO - Epoch(train) [10][2020/2881] lr: 3.4474e-04 eta: 0:10:16 time: 0.7071 data_time: 0.0235 memory: 15529 grad_norm: 0.1956 recall@thr=0.5: 0.6819 prec@thr=0.5: 0.7083 recall@top3: 0.7375 prec@top3: 0.6111 recall@top5: 0.9583 prec@top5: 0.4917 loss_action_cls: 0.0272 loss: 0.0272 2022/08/10 22:18:26 - mmengine - INFO - Epoch(train) [10][2040/2881] lr: 3.2894e-04 eta: 0:10:01 time: 0.6960 data_time: 0.0285 memory: 15242 grad_norm: 0.1987 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.6750 recall@top3: 0.7292 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.5400 loss_action_cls: 0.0274 loss: 0.0274 2022/08/10 22:18:40 - mmengine - INFO - Epoch(train) [10][2060/2881] lr: 3.1352e-04 eta: 0:09:47 time: 0.6800 data_time: 0.0222 memory: 15472 grad_norm: 0.1978 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8400 recall@top3: 0.9000 prec@top3: 0.8667 recall@top5: 0.9250 prec@top5: 0.5400 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 22:18:48 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 22:18:54 - mmengine - INFO - Epoch(train) [10][2080/2881] lr: 2.9846e-04 eta: 0:09:33 time: 0.6857 data_time: 0.0266 memory: 15280 grad_norm: 0.1947 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8030 recall@top3: 0.8485 prec@top3: 0.7273 recall@top5: 0.9167 prec@top5: 0.4727 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 22:19:07 - mmengine - INFO - Epoch(train) [10][2100/2881] lr: 2.8378e-04 eta: 0:09:18 time: 0.6897 data_time: 0.0233 memory: 15586 grad_norm: 0.1953 recall@thr=0.5: 0.9638 prec@thr=0.5: 0.8986 recall@top3: 0.9384 prec@top3: 0.6957 recall@top5: 1.0000 prec@top5: 0.4609 loss_action_cls: 0.0299 loss: 0.0299 2022/08/10 22:19:21 - mmengine - INFO - Epoch(train) [10][2120/2881] lr: 2.6946e-04 eta: 0:09:04 time: 0.6688 data_time: 0.0215 memory: 15300 grad_norm: 0.1950 recall@thr=0.5: 0.8935 prec@thr=0.5: 0.9120 recall@top3: 0.9537 prec@top3: 0.7407 recall@top5: 0.9815 prec@top5: 0.4667 loss_action_cls: 0.0250 loss: 0.0250 2022/08/10 22:19:35 - mmengine - INFO - Epoch(train) [10][2140/2881] lr: 2.5551e-04 eta: 0:08:50 time: 0.7302 data_time: 0.0276 memory: 15338 grad_norm: 0.1963 recall@thr=0.5: 0.7065 prec@thr=0.5: 0.7790 recall@top3: 0.7029 prec@top3: 0.7971 recall@top5: 0.8804 prec@top5: 0.5739 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 22:19:49 - mmengine - INFO - Epoch(train) [10][2160/2881] lr: 2.4193e-04 eta: 0:08:35 time: 0.7000 data_time: 0.0222 memory: 15529 grad_norm: 0.2019 recall@thr=0.5: 0.6360 prec@thr=0.5: 0.8800 recall@top3: 0.7640 prec@top3: 0.6667 recall@top5: 0.9253 prec@top5: 0.4960 loss_action_cls: 0.0321 loss: 0.0321 2022/08/10 22:20:03 - mmengine - INFO - Epoch(train) [10][2180/2881] lr: 2.2873e-04 eta: 0:08:21 time: 0.6934 data_time: 0.0265 memory: 15433 grad_norm: 0.1924 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6974 recall@top3: 0.7982 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4737 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 22:20:16 - mmengine - INFO - Epoch(train) [10][2200/2881] lr: 2.1589e-04 eta: 0:08:07 time: 0.6628 data_time: 0.0227 memory: 15395 grad_norm: 0.2019 recall@thr=0.5: 0.8042 prec@thr=0.5: 0.9000 recall@top3: 0.8875 prec@top3: 0.7333 recall@top5: 0.9250 prec@top5: 0.4700 loss_action_cls: 0.0266 loss: 0.0266 2022/08/10 22:20:30 - mmengine - INFO - Epoch(train) [10][2220/2881] lr: 2.0342e-04 eta: 0:07:53 time: 0.6997 data_time: 0.0252 memory: 15280 grad_norm: 0.1922 recall@thr=0.5: 0.8506 prec@thr=0.5: 0.8944 recall@top3: 0.8539 prec@top3: 0.8444 recall@top5: 0.9167 prec@top5: 0.5600 loss_action_cls: 0.0301 loss: 0.0301 2022/08/10 22:20:44 - mmengine - INFO - Epoch(train) [10][2240/2881] lr: 1.9132e-04 eta: 0:07:38 time: 0.6859 data_time: 0.0236 memory: 15452 grad_norm: 0.1943 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.9621 recall@top3: 0.9167 prec@top3: 0.8636 recall@top5: 0.9432 prec@top5: 0.5364 loss_action_cls: 0.0264 loss: 0.0264 2022/08/10 22:20:57 - mmengine - INFO - Epoch(train) [10][2260/2881] lr: 1.7959e-04 eta: 0:07:24 time: 0.6653 data_time: 0.0229 memory: 15338 grad_norm: 0.1973 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7980 recall@top3: 0.8207 prec@top3: 0.6465 recall@top5: 0.9520 prec@top5: 0.4485 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 22:21:11 - mmengine - INFO - Epoch(train) [10][2280/2881] lr: 1.6824e-04 eta: 0:07:10 time: 0.6814 data_time: 0.0226 memory: 15414 grad_norm: 0.1880 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8681 recall@top3: 0.8021 prec@top3: 0.8194 recall@top5: 0.9514 prec@top5: 0.6000 loss_action_cls: 0.0233 loss: 0.0233 2022/08/10 22:21:25 - mmengine - INFO - Epoch(train) [10][2300/2881] lr: 1.5725e-04 eta: 0:06:55 time: 0.6731 data_time: 0.0220 memory: 15357 grad_norm: 0.1964 recall@thr=0.5: 0.8816 prec@thr=0.5: 0.8947 recall@top3: 0.8772 prec@top3: 0.7018 recall@top5: 0.9825 prec@top5: 0.4947 loss_action_cls: 0.0294 loss: 0.0294 2022/08/10 22:21:38 - mmengine - INFO - Epoch(train) [10][2320/2881] lr: 1.4663e-04 eta: 0:06:41 time: 0.6652 data_time: 0.0219 memory: 15529 grad_norm: 0.1966 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.9474 recall@top3: 0.8947 prec@top3: 0.7719 recall@top5: 0.9474 prec@top5: 0.5053 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 22:21:52 - mmengine - INFO - Epoch(train) [10][2340/2881] lr: 1.3639e-04 eta: 0:06:27 time: 0.7138 data_time: 0.0217 memory: 15261 grad_norm: 0.2028 recall@thr=0.5: 0.7877 prec@thr=0.5: 0.9012 recall@top3: 0.8284 prec@top3: 0.7654 recall@top5: 0.9667 prec@top5: 0.5556 loss_action_cls: 0.0287 loss: 0.0287 2022/08/10 22:22:06 - mmengine - INFO - Epoch(train) [10][2360/2881] lr: 1.2651e-04 eta: 0:06:12 time: 0.6689 data_time: 0.0320 memory: 15452 grad_norm: 0.1995 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8654 prec@top3: 0.6282 recall@top5: 0.9423 prec@top5: 0.4000 loss_action_cls: 0.0277 loss: 0.0277 2022/08/10 22:22:19 - mmengine - INFO - Epoch(train) [10][2380/2881] lr: 1.1701e-04 eta: 0:05:58 time: 0.6782 data_time: 0.0222 memory: 15338 grad_norm: 0.1994 recall@thr=0.5: 0.8420 prec@thr=0.5: 0.8218 recall@top3: 0.8879 prec@top3: 0.7126 recall@top5: 0.9655 prec@top5: 0.4759 loss_action_cls: 0.0325 loss: 0.0325 2022/08/10 22:22:34 - mmengine - INFO - Epoch(train) [10][2400/2881] lr: 1.0787e-04 eta: 0:05:44 time: 0.7255 data_time: 0.0259 memory: 15261 grad_norm: 0.2023 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.8467 recall@top3: 0.8800 prec@top3: 0.7200 recall@top5: 0.9867 prec@top5: 0.4880 loss_action_cls: 0.0247 loss: 0.0247 2022/08/10 22:22:47 - mmengine - INFO - Epoch(train) [10][2420/2881] lr: 9.9109e-05 eta: 0:05:29 time: 0.6877 data_time: 0.0246 memory: 15300 grad_norm: 0.1949 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8167 recall@top3: 0.8958 prec@top3: 0.7167 recall@top5: 0.9833 prec@top5: 0.4900 loss_action_cls: 0.0304 loss: 0.0304 2022/08/10 22:23:01 - mmengine - INFO - Epoch(train) [10][2440/2881] lr: 9.0717e-05 eta: 0:05:15 time: 0.6778 data_time: 0.0242 memory: 15414 grad_norm: 0.1926 recall@thr=0.5: 0.8314 prec@thr=0.5: 0.8905 recall@top3: 0.8719 prec@top3: 0.8762 recall@top5: 0.9657 prec@top5: 0.5829 loss_action_cls: 0.0265 loss: 0.0265 2022/08/10 22:23:15 - mmengine - INFO - Epoch(train) [10][2460/2881] lr: 8.2695e-05 eta: 0:05:01 time: 0.6846 data_time: 0.0243 memory: 15318 grad_norm: 0.1932 recall@thr=0.5: 0.5426 prec@thr=0.5: 0.6667 recall@top3: 0.7380 prec@top3: 0.6296 recall@top5: 0.8778 prec@top5: 0.4556 loss_action_cls: 0.0298 loss: 0.0298 2022/08/10 22:23:29 - mmengine - INFO - Epoch(train) [10][2480/2881] lr: 7.5044e-05 eta: 0:04:46 time: 0.6970 data_time: 0.0234 memory: 15318 grad_norm: 0.1961 recall@thr=0.5: 0.9722 prec@thr=0.5: 0.9306 recall@top3: 0.9556 prec@top3: 0.9556 recall@top5: 0.9889 prec@top5: 0.6000 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 22:23:42 - mmengine - INFO - Epoch(train) [10][2500/2881] lr: 6.7764e-05 eta: 0:04:32 time: 0.6792 data_time: 0.0226 memory: 15357 grad_norm: 0.1914 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.8542 recall@top3: 0.8160 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.4500 loss_action_cls: 0.0278 loss: 0.0278 2022/08/10 22:23:56 - mmengine - INFO - Epoch(train) [10][2520/2881] lr: 6.0856e-05 eta: 0:04:18 time: 0.7093 data_time: 0.0229 memory: 15261 grad_norm: 0.1938 recall@thr=0.5: 0.7404 prec@thr=0.5: 0.8269 recall@top3: 0.9038 prec@top3: 0.6923 recall@top5: 0.9519 prec@top5: 0.4462 loss_action_cls: 0.0289 loss: 0.0289 2022/08/10 22:24:10 - mmengine - INFO - Epoch(train) [10][2540/2881] lr: 5.4318e-05 eta: 0:04:03 time: 0.6862 data_time: 0.0213 memory: 15338 grad_norm: 0.1933 recall@thr=0.5: 0.7728 prec@thr=0.5: 0.8596 recall@top3: 0.8263 prec@top3: 0.7544 recall@top5: 0.9439 prec@top5: 0.5368 loss_action_cls: 0.0277 loss: 0.0277 2022/08/10 22:24:25 - mmengine - INFO - Epoch(train) [10][2560/2881] lr: 4.8152e-05 eta: 0:03:49 time: 0.7207 data_time: 0.0219 memory: 15357 grad_norm: 0.1952 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7833 recall@top3: 0.9167 prec@top3: 0.6167 recall@top5: 0.9500 prec@top5: 0.3900 loss_action_cls: 0.0285 loss: 0.0285 2022/08/10 22:24:38 - mmengine - INFO - Epoch(train) [10][2580/2881] lr: 4.2357e-05 eta: 0:03:35 time: 0.6676 data_time: 0.0226 memory: 15242 grad_norm: 0.2012 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9524 recall@top3: 0.8429 prec@top3: 0.9048 recall@top5: 1.0000 prec@top5: 0.6667 loss_action_cls: 0.0275 loss: 0.0275 2022/08/10 22:24:52 - mmengine - INFO - Epoch(train) [10][2600/2881] lr: 3.6933e-05 eta: 0:03:20 time: 0.7047 data_time: 0.0244 memory: 15472 grad_norm: 0.1941 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.8365 recall@top3: 0.9615 prec@top3: 0.6795 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0297 loss: 0.0297 2022/08/10 22:25:06 - mmengine - INFO - Epoch(train) [10][2620/2881] lr: 3.1881e-05 eta: 0:03:06 time: 0.7095 data_time: 0.0246 memory: 15433 grad_norm: 0.1927 recall@thr=0.5: 0.7286 prec@thr=0.5: 0.7937 recall@top3: 0.7190 prec@top3: 0.6984 recall@top5: 0.9405 prec@top5: 0.5714 loss_action_cls: 0.0261 loss: 0.0261 2022/08/10 22:25:20 - mmengine - INFO - Epoch(train) [10][2640/2881] lr: 2.7200e-05 eta: 0:02:52 time: 0.6856 data_time: 0.0226 memory: 15223 grad_norm: 0.1944 recall@thr=0.5: 0.9733 prec@thr=0.5: 0.9400 recall@top3: 0.9667 prec@top3: 0.7333 recall@top5: 0.9867 prec@top5: 0.4560 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 22:25:34 - mmengine - INFO - Epoch(train) [10][2660/2881] lr: 2.2890e-05 eta: 0:02:38 time: 0.7055 data_time: 0.0232 memory: 15261 grad_norm: 0.1986 recall@thr=0.5: 0.7660 prec@thr=0.5: 0.8237 recall@top3: 0.8686 prec@top3: 0.7308 recall@top5: 0.9647 prec@top5: 0.5000 loss_action_cls: 0.0266 loss: 0.0266 2022/08/10 22:25:48 - mmengine - INFO - Epoch(train) [10][2680/2881] lr: 1.8952e-05 eta: 0:02:23 time: 0.7095 data_time: 0.0241 memory: 15452 grad_norm: 0.1972 recall@thr=0.5: 0.8561 prec@thr=0.5: 0.8684 recall@top3: 0.9263 prec@top3: 0.6842 recall@top5: 0.9895 prec@top5: 0.4526 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 22:26:02 - mmengine - INFO - Epoch(train) [10][2700/2881] lr: 1.5385e-05 eta: 0:02:09 time: 0.6923 data_time: 0.0229 memory: 15261 grad_norm: 0.1981 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8810 recall@top3: 0.8571 prec@top3: 0.6667 recall@top5: 0.9683 prec@top5: 0.4667 loss_action_cls: 0.0312 loss: 0.0312 2022/08/10 22:26:17 - mmengine - INFO - Epoch(train) [10][2720/2881] lr: 1.2189e-05 eta: 0:01:55 time: 0.7254 data_time: 0.0255 memory: 15204 grad_norm: 0.1980 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.8250 recall@top3: 0.8167 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.5100 loss_action_cls: 0.0281 loss: 0.0281 2022/08/10 22:26:32 - mmengine - INFO - Epoch(train) [10][2740/2881] lr: 9.3656e-06 eta: 0:01:40 time: 0.7528 data_time: 0.0261 memory: 15529 grad_norm: 0.1896 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7833 recall@top3: 0.8042 prec@top3: 0.6833 recall@top5: 0.8958 prec@top5: 0.4600 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 22:26:46 - mmengine - INFO - Epoch(train) [10][2760/2881] lr: 6.9133e-06 eta: 0:01:26 time: 0.7356 data_time: 0.0253 memory: 15318 grad_norm: 0.1950 recall@thr=0.5: 0.8449 prec@thr=0.5: 0.8478 recall@top3: 0.8565 prec@top3: 0.7681 recall@top5: 0.9804 prec@top5: 0.5391 loss_action_cls: 0.0268 loss: 0.0268 2022/08/10 22:27:00 - mmengine - INFO - Epoch(train) [10][2780/2881] lr: 4.8324e-06 eta: 0:01:12 time: 0.6714 data_time: 0.0225 memory: 15280 grad_norm: 0.1989 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.8529 recall@top3: 0.7451 prec@top3: 0.6471 recall@top5: 0.9314 prec@top5: 0.5059 loss_action_cls: 0.0296 loss: 0.0296 2022/08/10 22:27:15 - mmengine - INFO - Epoch(train) [10][2800/2881] lr: 3.1232e-06 eta: 0:00:57 time: 0.7403 data_time: 0.0239 memory: 15491 grad_norm: 0.1892 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.9123 recall@top3: 0.9035 prec@top3: 0.8246 recall@top5: 0.9868 prec@top5: 0.5579 loss_action_cls: 0.0288 loss: 0.0288 2022/08/10 22:27:28 - mmengine - INFO - Epoch(train) [10][2820/2881] lr: 1.7855e-06 eta: 0:00:43 time: 0.6895 data_time: 0.0242 memory: 15280 grad_norm: 0.2013 recall@thr=0.5: 0.8033 prec@thr=0.5: 0.8233 recall@top3: 0.8700 prec@top3: 0.7867 recall@top5: 0.9733 prec@top5: 0.5440 loss_action_cls: 0.0277 loss: 0.0277 2022/08/10 22:27:42 - mmengine - INFO - Epoch(train) [10][2840/2881] lr: 8.1935e-07 eta: 0:00:29 time: 0.6819 data_time: 0.0227 memory: 15242 grad_norm: 0.1931 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9000 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0280 loss: 0.0280 2022/08/10 22:27:56 - mmengine - INFO - Epoch(train) [10][2860/2881] lr: 2.2481e-07 eta: 0:00:15 time: 0.6869 data_time: 0.0236 memory: 15223 grad_norm: 0.2000 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.8080 recall@top3: 0.8152 prec@top3: 0.7246 recall@top5: 0.9891 prec@top5: 0.5304 loss_action_cls: 0.0282 loss: 0.0282 2022/08/10 22:28:09 - mmengine - INFO - Epoch(train) [10][2880/2881] lr: 1.8579e-09 eta: 0:00:00 time: 0.6859 data_time: 0.0251 memory: 15338 grad_norm: 0.2021 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7895 recall@top3: 0.8246 prec@top3: 0.7368 recall@top5: 0.9211 prec@top5: 0.4842 loss_action_cls: 0.0272 loss: 0.0272 2022/08/10 22:28:10 - mmengine - INFO - Exp name: slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb_20220810_144021 2022/08/10 22:28:10 - mmengine - INFO - Epoch(train) [10][2881/2881] lr: 4.6449e-10 eta: 0:00:00 time: 0.6838 data_time: 0.0228 memory: 15165 grad_norm: 0.2011 recall@thr=0.5: 0.8558 prec@thr=0.5: 0.8462 recall@top3: 0.8686 prec@top3: 0.7051 recall@top5: 0.9647 prec@top5: 0.4769 loss_action_cls: 0.0276 loss: 0.0276 2022/08/10 22:28:10 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/10 22:28:20 - mmengine - INFO - Epoch(val) [10][20/6282] eta: 0:07:19 time: 0.0703 data_time: 0.0199 memory: 1670 2022/08/10 22:28:21 - mmengine - INFO - Epoch(val) [10][40/6282] eta: 0:05:20 time: 0.0514 data_time: 0.0038 memory: 1670 2022/08/10 22:28:22 - mmengine - INFO - Epoch(val) [10][60/6282] eta: 0:05:20 time: 0.0514 data_time: 0.0041 memory: 1670 2022/08/10 22:28:24 - mmengine - INFO - Epoch(val) [10][80/6282] eta: 0:07:36 time: 0.0737 data_time: 0.0056 memory: 1670 2022/08/10 22:28:25 - mmengine - INFO - Epoch(val) [10][100/6282] eta: 0:05:30 time: 0.0535 data_time: 0.0046 memory: 1670 2022/08/10 22:28:26 - mmengine - INFO - Epoch(val) [10][120/6282] eta: 0:06:25 time: 0.0626 data_time: 0.0048 memory: 1704 2022/08/10 22:28:27 - mmengine - INFO - Epoch(val) [10][140/6282] eta: 0:07:17 time: 0.0712 data_time: 0.0049 memory: 1704 2022/08/10 22:28:29 - mmengine - INFO - Epoch(val) [10][160/6282] eta: 0:07:11 time: 0.0705 data_time: 0.0055 memory: 1704 2022/08/10 22:28:30 - mmengine - INFO - Epoch(val) [10][180/6282] eta: 0:07:45 time: 0.0763 data_time: 0.0048 memory: 1704 2022/08/10 22:28:32 - mmengine - INFO - Epoch(val) [10][200/6282] eta: 0:07:29 time: 0.0739 data_time: 0.0071 memory: 1704 2022/08/10 22:28:33 - mmengine - INFO - Epoch(val) [10][220/6282] eta: 0:06:12 time: 0.0614 data_time: 0.0046 memory: 1677 2022/08/10 22:28:34 - mmengine - INFO - Epoch(val) [10][240/6282] eta: 0:06:26 time: 0.0640 data_time: 0.0057 memory: 1677 2022/08/10 22:28:36 - mmengine - INFO - Epoch(val) [10][260/6282] eta: 0:08:34 time: 0.0855 data_time: 0.0044 memory: 1677 2022/08/10 22:28:37 - mmengine - INFO - Epoch(val) [10][280/6282] eta: 0:06:14 time: 0.0623 data_time: 0.0041 memory: 1677 2022/08/10 22:28:39 - mmengine - INFO - Epoch(val) [10][300/6282] eta: 0:06:44 time: 0.0676 data_time: 0.0057 memory: 1704 2022/08/10 22:28:40 - mmengine - INFO - Epoch(val) [10][320/6282] eta: 0:07:42 time: 0.0776 data_time: 0.0044 memory: 1906 2022/08/10 22:28:42 - mmengine - INFO - Epoch(val) [10][340/6282] eta: 0:08:03 time: 0.0813 data_time: 0.0110 memory: 1774 2022/08/10 22:28:44 - mmengine - INFO - Epoch(val) [10][360/6282] eta: 0:08:53 time: 0.0901 data_time: 0.0185 memory: 1840 2022/08/10 22:28:45 - mmengine - INFO - Epoch(val) [10][380/6282] eta: 0:07:22 time: 0.0750 data_time: 0.0035 memory: 1840 2022/08/10 22:28:47 - mmengine - INFO - Epoch(val) [10][400/6282] eta: 0:08:53 time: 0.0906 data_time: 0.0048 memory: 1704 2022/08/10 22:28:48 - mmengine - INFO - Epoch(val) [10][420/6282] eta: 0:05:35 time: 0.0573 data_time: 0.0046 memory: 1677 2022/08/10 22:28:49 - mmengine - INFO - Epoch(val) [10][440/6282] eta: 0:05:33 time: 0.0571 data_time: 0.0048 memory: 1677 2022/08/10 22:28:50 - mmengine - INFO - Epoch(val) [10][460/6282] eta: 0:05:21 time: 0.0552 data_time: 0.0048 memory: 1677 2022/08/10 22:28:51 - mmengine - INFO - Epoch(val) [10][480/6282] eta: 0:05:07 time: 0.0530 data_time: 0.0041 memory: 1677 2022/08/10 22:28:53 - mmengine - INFO - Epoch(val) [10][500/6282] eta: 0:05:30 time: 0.0571 data_time: 0.0034 memory: 1677 2022/08/10 22:28:54 - mmengine - INFO - Epoch(val) [10][520/6282] eta: 0:05:19 time: 0.0555 data_time: 0.0042 memory: 1677 2022/08/10 22:28:55 - mmengine - INFO - Epoch(val) [10][540/6282] eta: 0:05:23 time: 0.0563 data_time: 0.0032 memory: 1677 2022/08/10 22:28:56 - mmengine - INFO - Epoch(val) [10][560/6282] eta: 0:05:43 time: 0.0600 data_time: 0.0048 memory: 1677 2022/08/10 22:28:57 - mmengine - INFO - Epoch(val) [10][580/6282] eta: 0:06:07 time: 0.0645 data_time: 0.0044 memory: 1677 2022/08/10 22:28:59 - mmengine - INFO - Epoch(val) [10][600/6282] eta: 0:05:39 time: 0.0597 data_time: 0.0037 memory: 1677 2022/08/10 22:29:00 - mmengine - INFO - Epoch(val) [10][620/6282] eta: 0:04:44 time: 0.0502 data_time: 0.0035 memory: 1677 2022/08/10 22:29:01 - mmengine - INFO - Epoch(val) [10][640/6282] eta: 0:04:57 time: 0.0527 data_time: 0.0032 memory: 1675 2022/08/10 22:29:02 - mmengine - INFO - Epoch(val) [10][660/6282] eta: 0:04:52 time: 0.0520 data_time: 0.0037 memory: 1675 2022/08/10 22:29:03 - mmengine - INFO - Epoch(val) [10][680/6282] eta: 0:05:08 time: 0.0550 data_time: 0.0052 memory: 1675 2022/08/10 22:29:04 - mmengine - INFO - Epoch(val) [10][700/6282] eta: 0:05:04 time: 0.0546 data_time: 0.0034 memory: 1675 2022/08/10 22:29:07 - mmengine - INFO - Epoch(val) [10][720/6282] eta: 0:13:03 time: 0.1408 data_time: 0.0689 memory: 1939 2022/08/10 22:29:10 - mmengine - INFO - Epoch(val) [10][740/6282] eta: 0:17:17 time: 0.1872 data_time: 0.0934 memory: 1807 2022/08/10 22:29:13 - mmengine - INFO - Epoch(val) [10][760/6282] eta: 0:13:47 time: 0.1499 data_time: 0.0817 memory: 1774 2022/08/10 22:29:16 - mmengine - INFO - Epoch(val) [10][780/6282] eta: 0:12:55 time: 0.1410 data_time: 0.0744 memory: 1704 2022/08/10 22:29:19 - mmengine - INFO - Epoch(val) [10][800/6282] eta: 0:11:01 time: 0.1206 data_time: 0.0574 memory: 1704 2022/08/10 22:29:21 - mmengine - INFO - Epoch(val) [10][820/6282] eta: 0:09:42 time: 0.1067 data_time: 0.0277 memory: 1704 2022/08/10 22:29:22 - mmengine - INFO - Epoch(val) [10][840/6282] eta: 0:05:30 time: 0.0607 data_time: 0.0042 memory: 1722 2022/08/10 22:29:23 - mmengine - INFO - Epoch(val) [10][860/6282] eta: 0:05:43 time: 0.0633 data_time: 0.0040 memory: 1677 2022/08/10 22:29:24 - mmengine - INFO - Epoch(val) [10][880/6282] eta: 0:05:19 time: 0.0592 data_time: 0.0039 memory: 1677 2022/08/10 22:29:26 - mmengine - INFO - Epoch(val) [10][900/6282] eta: 0:05:27 time: 0.0608 data_time: 0.0042 memory: 1677 2022/08/10 22:29:27 - mmengine - INFO - Epoch(val) [10][920/6282] eta: 0:05:26 time: 0.0608 data_time: 0.0047 memory: 1697 2022/08/10 22:29:28 - mmengine - INFO - Epoch(val) [10][940/6282] eta: 0:04:49 time: 0.0541 data_time: 0.0042 memory: 1670 2022/08/10 22:29:29 - mmengine - INFO - Epoch(val) [10][960/6282] eta: 0:04:44 time: 0.0534 data_time: 0.0034 memory: 1670 2022/08/10 22:29:30 - mmengine - INFO - Epoch(val) [10][980/6282] eta: 0:04:44 time: 0.0537 data_time: 0.0042 memory: 1670 2022/08/10 22:29:32 - mmengine - INFO - Epoch(val) [10][1000/6282] eta: 0:06:51 time: 0.0778 data_time: 0.0037 memory: 1670 2022/08/10 22:29:33 - mmengine - INFO - Epoch(val) [10][1020/6282] eta: 0:04:59 time: 0.0569 data_time: 0.0040 memory: 1670 2022/08/10 22:29:34 - mmengine - INFO - Epoch(val) [10][1040/6282] eta: 0:05:01 time: 0.0576 data_time: 0.0046 memory: 1677 2022/08/10 22:29:35 - mmengine - INFO - Epoch(val) [10][1060/6282] eta: 0:05:01 time: 0.0578 data_time: 0.0052 memory: 1677 2022/08/10 22:29:36 - mmengine - INFO - Epoch(val) [10][1080/6282] eta: 0:05:13 time: 0.0603 data_time: 0.0044 memory: 1677 2022/08/10 22:29:38 - mmengine - INFO - Epoch(val) [10][1100/6282] eta: 0:04:48 time: 0.0556 data_time: 0.0036 memory: 1677 2022/08/10 22:29:39 - mmengine - INFO - Epoch(val) [10][1120/6282] eta: 0:05:19 time: 0.0618 data_time: 0.0050 memory: 1677 2022/08/10 22:29:40 - mmengine - INFO - Epoch(val) [10][1140/6282] eta: 0:04:45 time: 0.0554 data_time: 0.0034 memory: 1677 2022/08/10 22:29:41 - mmengine - INFO - Epoch(val) [10][1160/6282] eta: 0:04:55 time: 0.0576 data_time: 0.0042 memory: 1677 2022/08/10 22:29:42 - mmengine - INFO - Epoch(val) [10][1180/6282] eta: 0:04:57 time: 0.0584 data_time: 0.0035 memory: 1677 2022/08/10 22:29:44 - mmengine - INFO - Epoch(val) [10][1200/6282] eta: 0:08:03 time: 0.0951 data_time: 0.0050 memory: 1747 2022/08/10 22:29:45 - mmengine - INFO - Epoch(val) [10][1220/6282] eta: 0:05:24 time: 0.0642 data_time: 0.0038 memory: 1677 2022/08/10 22:29:49 - mmengine - INFO - Epoch(val) [10][1240/6282] eta: 0:13:15 time: 0.1578 data_time: 0.0951 memory: 1704 2022/08/10 22:29:52 - mmengine - INFO - Epoch(val) [10][1260/6282] eta: 0:12:28 time: 0.1490 data_time: 0.0829 memory: 1704 2022/08/10 22:29:55 - mmengine - INFO - Epoch(val) [10][1280/6282] eta: 0:15:41 time: 0.1882 data_time: 0.0905 memory: 1704 2022/08/10 22:29:58 - mmengine - INFO - Epoch(val) [10][1300/6282] eta: 0:11:59 time: 0.1444 data_time: 0.0801 memory: 1704 2022/08/10 22:30:02 - mmengine - INFO - Epoch(val) [10][1320/6282] eta: 0:15:00 time: 0.1815 data_time: 0.1153 memory: 1704 2022/08/10 22:30:05 - mmengine - INFO - Epoch(val) [10][1340/6282] eta: 0:12:27 time: 0.1513 data_time: 0.0877 memory: 1704 2022/08/10 22:30:08 - mmengine - INFO - Epoch(val) [10][1360/6282] eta: 0:14:33 time: 0.1774 data_time: 0.1126 memory: 1704 2022/08/10 22:30:11 - mmengine - INFO - Epoch(val) [10][1380/6282] eta: 0:12:08 time: 0.1486 data_time: 0.0896 memory: 1704 2022/08/10 22:30:14 - mmengine - INFO - Epoch(val) [10][1400/6282] eta: 0:11:22 time: 0.1397 data_time: 0.0758 memory: 1704 2022/08/10 22:30:17 - mmengine - INFO - Epoch(val) [10][1420/6282] eta: 0:09:51 time: 0.1217 data_time: 0.0586 memory: 1704 2022/08/10 22:30:19 - mmengine - INFO - Epoch(val) [10][1440/6282] eta: 0:07:19 time: 0.0908 data_time: 0.0178 memory: 1715 2022/08/10 22:30:20 - mmengine - INFO - Epoch(val) [10][1460/6282] eta: 0:06:10 time: 0.0768 data_time: 0.0063 memory: 1873 2022/08/10 22:30:21 - mmengine - INFO - Epoch(val) [10][1480/6282] eta: 0:05:35 time: 0.0698 data_time: 0.0041 memory: 1807 2022/08/10 22:30:23 - mmengine - INFO - Epoch(val) [10][1500/6282] eta: 0:06:04 time: 0.0761 data_time: 0.0053 memory: 1807 2022/08/10 22:30:24 - mmengine - INFO - Epoch(val) [10][1520/6282] eta: 0:05:50 time: 0.0736 data_time: 0.0046 memory: 1798 2022/08/10 22:30:26 - mmengine - INFO - Epoch(val) [10][1540/6282] eta: 0:06:56 time: 0.0877 data_time: 0.0052 memory: 1798 2022/08/10 22:30:28 - mmengine - INFO - Epoch(val) [10][1560/6282] eta: 0:06:31 time: 0.0829 data_time: 0.0043 memory: 1798 2022/08/10 22:30:30 - mmengine - INFO - Epoch(val) [10][1580/6282] eta: 0:08:03 time: 0.1027 data_time: 0.0045 memory: 1798 2022/08/10 22:30:32 - mmengine - INFO - Epoch(val) [10][1600/6282] eta: 0:06:21 time: 0.0816 data_time: 0.0047 memory: 1798 2022/08/10 22:30:33 - mmengine - INFO - Epoch(val) [10][1620/6282] eta: 0:07:15 time: 0.0934 data_time: 0.0060 memory: 1798 2022/08/10 22:30:35 - mmengine - INFO - Epoch(val) [10][1640/6282] eta: 0:05:41 time: 0.0735 data_time: 0.0044 memory: 1840 2022/08/10 22:30:36 - mmengine - INFO - Epoch(val) [10][1660/6282] eta: 0:05:22 time: 0.0699 data_time: 0.0041 memory: 1704 2022/08/10 22:30:38 - mmengine - INFO - Epoch(val) [10][1680/6282] eta: 0:05:01 time: 0.0654 data_time: 0.0038 memory: 1704 2022/08/10 22:30:39 - mmengine - INFO - Epoch(val) [10][1700/6282] eta: 0:05:34 time: 0.0730 data_time: 0.0040 memory: 1939 2022/08/10 22:30:41 - mmengine - INFO - Epoch(val) [10][1720/6282] eta: 0:05:46 time: 0.0760 data_time: 0.0042 memory: 1973 2022/08/10 22:30:42 - mmengine - INFO - Epoch(val) [10][1740/6282] eta: 0:05:00 time: 0.0662 data_time: 0.0043 memory: 1704 2022/08/10 22:30:44 - mmengine - INFO - Epoch(val) [10][1760/6282] eta: 0:07:30 time: 0.0997 data_time: 0.0050 memory: 1704 2022/08/10 22:30:45 - mmengine - INFO - Epoch(val) [10][1780/6282] eta: 0:05:28 time: 0.0729 data_time: 0.0045 memory: 1704 2022/08/10 22:30:47 - mmengine - INFO - Epoch(val) [10][1800/6282] eta: 0:05:28 time: 0.0732 data_time: 0.0037 memory: 1807 2022/08/10 22:30:48 - mmengine - INFO - Epoch(val) [10][1820/6282] eta: 0:05:27 time: 0.0735 data_time: 0.0042 memory: 1774 2022/08/10 22:30:50 - mmengine - INFO - Epoch(val) [10][1840/6282] eta: 0:06:20 time: 0.0858 data_time: 0.0158 memory: 1704 2022/08/10 22:30:54 - mmengine - INFO - Epoch(val) [10][1860/6282] eta: 0:13:46 time: 0.1869 data_time: 0.1052 memory: 1704 2022/08/10 22:30:57 - mmengine - INFO - Epoch(val) [10][1880/6282] eta: 0:10:16 time: 0.1401 data_time: 0.0756 memory: 1704 2022/08/10 22:31:00 - mmengine - INFO - Epoch(val) [10][1900/6282] eta: 0:12:12 time: 0.1671 data_time: 0.1047 memory: 1704 2022/08/10 22:31:02 - mmengine - INFO - Epoch(val) [10][1920/6282] eta: 0:08:43 time: 0.1200 data_time: 0.0495 memory: 1704 2022/08/10 22:31:05 - mmengine - INFO - Epoch(val) [10][1940/6282] eta: 0:07:43 time: 0.1067 data_time: 0.0222 memory: 1704 2022/08/10 22:31:06 - mmengine - INFO - Epoch(val) [10][1960/6282] eta: 0:04:14 time: 0.0589 data_time: 0.0048 memory: 1677 2022/08/10 22:31:07 - mmengine - INFO - Epoch(val) [10][1980/6282] eta: 0:04:04 time: 0.0568 data_time: 0.0049 memory: 1677 2022/08/10 22:31:08 - mmengine - INFO - Epoch(val) [10][2000/6282] eta: 0:04:23 time: 0.0616 data_time: 0.0065 memory: 1677 2022/08/10 22:31:09 - mmengine - INFO - Epoch(val) [10][2020/6282] eta: 0:04:09 time: 0.0585 data_time: 0.0046 memory: 1677 2022/08/10 22:31:11 - mmengine - INFO - Epoch(val) [10][2040/6282] eta: 0:04:17 time: 0.0607 data_time: 0.0050 memory: 1677 2022/08/10 22:31:12 - mmengine - INFO - Epoch(val) [10][2060/6282] eta: 0:04:06 time: 0.0585 data_time: 0.0048 memory: 1677 2022/08/10 22:31:13 - mmengine - INFO - Epoch(val) [10][2080/6282] eta: 0:04:10 time: 0.0595 data_time: 0.0049 memory: 1677 2022/08/10 22:31:14 - mmengine - INFO - Epoch(val) [10][2100/6282] eta: 0:04:03 time: 0.0583 data_time: 0.0048 memory: 1677 2022/08/10 22:31:15 - mmengine - INFO - Epoch(val) [10][2120/6282] eta: 0:03:50 time: 0.0554 data_time: 0.0043 memory: 1677 2022/08/10 22:31:17 - mmengine - INFO - Epoch(val) [10][2140/6282] eta: 0:05:37 time: 0.0815 data_time: 0.0045 memory: 1697 2022/08/10 22:31:18 - mmengine - INFO - Epoch(val) [10][2160/6282] eta: 0:03:52 time: 0.0563 data_time: 0.0042 memory: 1677 2022/08/10 22:31:19 - mmengine - INFO - Epoch(val) [10][2180/6282] eta: 0:03:58 time: 0.0582 data_time: 0.0041 memory: 1677 2022/08/10 22:31:20 - mmengine - INFO - Epoch(val) [10][2200/6282] eta: 0:03:52 time: 0.0569 data_time: 0.0042 memory: 1677 2022/08/10 22:31:21 - mmengine - INFO - Epoch(val) [10][2220/6282] eta: 0:03:49 time: 0.0566 data_time: 0.0038 memory: 1677 2022/08/10 22:31:23 - mmengine - INFO - Epoch(val) [10][2240/6282] eta: 0:04:03 time: 0.0601 data_time: 0.0053 memory: 1677 2022/08/10 22:31:24 - mmengine - INFO - Epoch(val) [10][2260/6282] eta: 0:04:12 time: 0.0627 data_time: 0.0057 memory: 1677 2022/08/10 22:31:25 - mmengine - INFO - Epoch(val) [10][2280/6282] eta: 0:03:51 time: 0.0578 data_time: 0.0038 memory: 1698 2022/08/10 22:31:26 - mmengine - INFO - Epoch(val) [10][2300/6282] eta: 0:03:43 time: 0.0561 data_time: 0.0035 memory: 1677 2022/08/10 22:31:28 - mmengine - INFO - Epoch(val) [10][2320/6282] eta: 0:05:21 time: 0.0811 data_time: 0.0039 memory: 1677 2022/08/10 22:31:29 - mmengine - INFO - Epoch(val) [10][2340/6282] eta: 0:03:45 time: 0.0571 data_time: 0.0044 memory: 1677 2022/08/10 22:31:30 - mmengine - INFO - Epoch(val) [10][2360/6282] eta: 0:04:02 time: 0.0619 data_time: 0.0037 memory: 1677 2022/08/10 22:31:31 - mmengine - INFO - Epoch(val) [10][2380/6282] eta: 0:04:03 time: 0.0624 data_time: 0.0042 memory: 1677 2022/08/10 22:31:33 - mmengine - INFO - Epoch(val) [10][2400/6282] eta: 0:04:30 time: 0.0697 data_time: 0.0063 memory: 1677 2022/08/10 22:31:34 - mmengine - INFO - Epoch(val) [10][2420/6282] eta: 0:03:55 time: 0.0610 data_time: 0.0051 memory: 1677 2022/08/10 22:31:35 - mmengine - INFO - Epoch(val) [10][2440/6282] eta: 0:03:57 time: 0.0619 data_time: 0.0050 memory: 1677 2022/08/10 22:31:37 - mmengine - INFO - Epoch(val) [10][2460/6282] eta: 0:05:08 time: 0.0807 data_time: 0.0141 memory: 1704 2022/08/10 22:31:39 - mmengine - INFO - Epoch(val) [10][2480/6282] eta: 0:05:33 time: 0.0878 data_time: 0.0173 memory: 1704 2022/08/10 22:31:41 - mmengine - INFO - Epoch(val) [10][2500/6282] eta: 0:06:36 time: 0.1047 data_time: 0.0129 memory: 1704 2022/08/10 22:31:42 - mmengine - INFO - Epoch(val) [10][2520/6282] eta: 0:04:36 time: 0.0736 data_time: 0.0040 memory: 1774 2022/08/10 22:31:45 - mmengine - INFO - Epoch(val) [10][2540/6282] eta: 0:07:24 time: 0.1188 data_time: 0.0467 memory: 1939 2022/08/10 22:31:48 - mmengine - INFO - Epoch(val) [10][2560/6282] eta: 0:09:07 time: 0.1470 data_time: 0.0880 memory: 1704 2022/08/10 22:31:51 - mmengine - INFO - Epoch(val) [10][2580/6282] eta: 0:11:25 time: 0.1852 data_time: 0.1207 memory: 1704 2022/08/10 22:31:54 - mmengine - INFO - Epoch(val) [10][2600/6282] eta: 0:09:13 time: 0.1504 data_time: 0.0700 memory: 1715 2022/08/10 22:31:58 - mmengine - INFO - Epoch(val) [10][2620/6282] eta: 0:10:19 time: 0.1693 data_time: 0.1039 memory: 1704 2022/08/10 22:32:01 - mmengine - INFO - Epoch(val) [10][2640/6282] eta: 0:09:04 time: 0.1494 data_time: 0.0827 memory: 1704 2022/08/10 22:32:02 - mmengine - INFO - Epoch(val) [10][2660/6282] eta: 0:04:55 time: 0.0817 data_time: 0.0064 memory: 1788 2022/08/10 22:32:05 - mmengine - INFO - Epoch(val) [10][2680/6282] eta: 0:06:42 time: 0.1117 data_time: 0.0100 memory: 1788 2022/08/10 22:32:06 - mmengine - INFO - Epoch(val) [10][2700/6282] eta: 0:04:58 time: 0.0833 data_time: 0.0055 memory: 1788 2022/08/10 22:32:08 - mmengine - INFO - Epoch(val) [10][2720/6282] eta: 0:05:12 time: 0.0878 data_time: 0.0061 memory: 1788 2022/08/10 22:32:10 - mmengine - INFO - Epoch(val) [10][2740/6282] eta: 0:05:04 time: 0.0860 data_time: 0.0061 memory: 1797 2022/08/10 22:32:11 - mmengine - INFO - Epoch(val) [10][2760/6282] eta: 0:03:33 time: 0.0607 data_time: 0.0049 memory: 1677 2022/08/10 22:32:12 - mmengine - INFO - Epoch(val) [10][2780/6282] eta: 0:03:45 time: 0.0645 data_time: 0.0063 memory: 1677 2022/08/10 22:32:14 - mmengine - INFO - Epoch(val) [10][2800/6282] eta: 0:03:51 time: 0.0664 data_time: 0.0045 memory: 1631 2022/08/10 22:32:15 - mmengine - INFO - Epoch(val) [10][2820/6282] eta: 0:05:04 time: 0.0880 data_time: 0.0053 memory: 1677 2022/08/10 22:32:17 - mmengine - INFO - Epoch(val) [10][2840/6282] eta: 0:03:44 time: 0.0652 data_time: 0.0050 memory: 1631 2022/08/10 22:32:18 - mmengine - INFO - Epoch(val) [10][2860/6282] eta: 0:03:53 time: 0.0684 data_time: 0.0055 memory: 1704 2022/08/10 22:32:19 - mmengine - INFO - Epoch(val) [10][2880/6282] eta: 0:03:53 time: 0.0685 data_time: 0.0039 memory: 1704 2022/08/10 22:32:21 - mmengine - INFO - Epoch(val) [10][2900/6282] eta: 0:04:02 time: 0.0718 data_time: 0.0041 memory: 1704 2022/08/10 22:32:22 - mmengine - INFO - Epoch(val) [10][2920/6282] eta: 0:03:24 time: 0.0607 data_time: 0.0035 memory: 1704 2022/08/10 22:32:23 - mmengine - INFO - Epoch(val) [10][2940/6282] eta: 0:03:11 time: 0.0574 data_time: 0.0053 memory: 1688 2022/08/10 22:32:25 - mmengine - INFO - Epoch(val) [10][2960/6282] eta: 0:03:18 time: 0.0596 data_time: 0.0040 memory: 1688 2022/08/10 22:32:26 - mmengine - INFO - Epoch(val) [10][2980/6282] eta: 0:03:13 time: 0.0586 data_time: 0.0041 memory: 1688 2022/08/10 22:32:27 - mmengine - INFO - Epoch(val) [10][3000/6282] eta: 0:03:14 time: 0.0593 data_time: 0.0035 memory: 1688 2022/08/10 22:32:29 - mmengine - INFO - Epoch(val) [10][3020/6282] eta: 0:04:42 time: 0.0865 data_time: 0.0039 memory: 1704 2022/08/10 22:32:30 - mmengine - INFO - Epoch(val) [10][3040/6282] eta: 0:03:41 time: 0.0682 data_time: 0.0052 memory: 1715 2022/08/10 22:32:31 - mmengine - INFO - Epoch(val) [10][3060/6282] eta: 0:03:46 time: 0.0704 data_time: 0.0042 memory: 1774 2022/08/10 22:32:33 - mmengine - INFO - Epoch(val) [10][3080/6282] eta: 0:04:00 time: 0.0751 data_time: 0.0050 memory: 1704 2022/08/10 22:32:34 - mmengine - INFO - Epoch(val) [10][3100/6282] eta: 0:03:40 time: 0.0692 data_time: 0.0049 memory: 1704 2022/08/10 22:32:36 - mmengine - INFO - Epoch(val) [10][3120/6282] eta: 0:03:16 time: 0.0623 data_time: 0.0055 memory: 1677 2022/08/10 22:32:37 - mmengine - INFO - Epoch(val) [10][3140/6282] eta: 0:03:18 time: 0.0632 data_time: 0.0061 memory: 1677 2022/08/10 22:32:38 - mmengine - INFO - Epoch(val) [10][3160/6282] eta: 0:03:12 time: 0.0615 data_time: 0.0064 memory: 1677 2022/08/10 22:32:39 - mmengine - INFO - Epoch(val) [10][3180/6282] eta: 0:03:12 time: 0.0619 data_time: 0.0049 memory: 1677 2022/08/10 22:32:41 - mmengine - INFO - Epoch(val) [10][3200/6282] eta: 0:04:57 time: 0.0966 data_time: 0.0062 memory: 1704 2022/08/10 22:32:43 - mmengine - INFO - Epoch(val) [10][3220/6282] eta: 0:03:41 time: 0.0724 data_time: 0.0060 memory: 1704 2022/08/10 22:32:44 - mmengine - INFO - Epoch(val) [10][3240/6282] eta: 0:03:46 time: 0.0745 data_time: 0.0061 memory: 1704 2022/08/10 22:32:46 - mmengine - INFO - Epoch(val) [10][3260/6282] eta: 0:03:24 time: 0.0676 data_time: 0.0045 memory: 1704 2022/08/10 22:32:47 - mmengine - INFO - Epoch(val) [10][3280/6282] eta: 0:03:36 time: 0.0722 data_time: 0.0046 memory: 1704 2022/08/10 22:32:49 - mmengine - INFO - Epoch(val) [10][3300/6282] eta: 0:03:36 time: 0.0725 data_time: 0.0041 memory: 1695 2022/08/10 22:32:50 - mmengine - INFO - Epoch(val) [10][3320/6282] eta: 0:03:26 time: 0.0697 data_time: 0.0039 memory: 1704 2022/08/10 22:32:51 - mmengine - INFO - Epoch(val) [10][3340/6282] eta: 0:03:37 time: 0.0738 data_time: 0.0041 memory: 1715 2022/08/10 22:32:54 - mmengine - INFO - Epoch(val) [10][3360/6282] eta: 0:05:17 time: 0.1085 data_time: 0.0051 memory: 1704 2022/08/10 22:32:55 - mmengine - INFO - Epoch(val) [10][3380/6282] eta: 0:03:08 time: 0.0649 data_time: 0.0044 memory: 1704 2022/08/10 22:32:56 - mmengine - INFO - Epoch(val) [10][3400/6282] eta: 0:02:51 time: 0.0595 data_time: 0.0040 memory: 1722 2022/08/10 22:32:57 - mmengine - INFO - Epoch(val) [10][3420/6282] eta: 0:02:35 time: 0.0542 data_time: 0.0036 memory: 1677 2022/08/10 22:32:58 - mmengine - INFO - Epoch(val) [10][3440/6282] eta: 0:02:33 time: 0.0540 data_time: 0.0030 memory: 1677 2022/08/10 22:32:59 - mmengine - INFO - Epoch(val) [10][3460/6282] eta: 0:02:44 time: 0.0584 data_time: 0.0034 memory: 1677 2022/08/10 22:33:01 - mmengine - INFO - Epoch(val) [10][3480/6282] eta: 0:02:49 time: 0.0607 data_time: 0.0034 memory: 1722 2022/08/10 22:33:02 - mmengine - INFO - Epoch(val) [10][3500/6282] eta: 0:02:40 time: 0.0579 data_time: 0.0050 memory: 1677 2022/08/10 22:33:03 - mmengine - INFO - Epoch(val) [10][3520/6282] eta: 0:02:36 time: 0.0567 data_time: 0.0065 memory: 1677 2022/08/10 22:33:04 - mmengine - INFO - Epoch(val) [10][3540/6282] eta: 0:03:25 time: 0.0749 data_time: 0.0045 memory: 1677 2022/08/10 22:33:06 - mmengine - INFO - Epoch(val) [10][3560/6282] eta: 0:02:28 time: 0.0547 data_time: 0.0038 memory: 1677 2022/08/10 22:33:07 - mmengine - INFO - Epoch(val) [10][3580/6282] eta: 0:02:27 time: 0.0545 data_time: 0.0041 memory: 1696 2022/08/10 22:33:08 - mmengine - INFO - Epoch(val) [10][3600/6282] eta: 0:02:54 time: 0.0651 data_time: 0.0051 memory: 1696 2022/08/10 22:33:09 - mmengine - INFO - Epoch(val) [10][3620/6282] eta: 0:03:20 time: 0.0752 data_time: 0.0041 memory: 1845 2022/08/10 22:33:11 - mmengine - INFO - Epoch(val) [10][3640/6282] eta: 0:03:02 time: 0.0689 data_time: 0.0062 memory: 1696 2022/08/10 22:33:12 - mmengine - INFO - Epoch(val) [10][3660/6282] eta: 0:03:07 time: 0.0715 data_time: 0.0059 memory: 1696 2022/08/10 22:33:14 - mmengine - INFO - Epoch(val) [10][3680/6282] eta: 0:03:20 time: 0.0771 data_time: 0.0117 memory: 1704 2022/08/10 22:33:16 - mmengine - INFO - Epoch(val) [10][3700/6282] eta: 0:04:15 time: 0.0989 data_time: 0.0077 memory: 1704 2022/08/10 22:33:18 - mmengine - INFO - Epoch(val) [10][3720/6282] eta: 0:03:31 time: 0.0827 data_time: 0.0136 memory: 1704 2022/08/10 22:33:19 - mmengine - INFO - Epoch(val) [10][3740/6282] eta: 0:03:53 time: 0.0920 data_time: 0.0269 memory: 1704 2022/08/10 22:33:21 - mmengine - INFO - Epoch(val) [10][3760/6282] eta: 0:03:34 time: 0.0849 data_time: 0.0188 memory: 1704 2022/08/10 22:33:23 - mmengine - INFO - Epoch(val) [10][3780/6282] eta: 0:04:11 time: 0.1007 data_time: 0.0328 memory: 1704 2022/08/10 22:33:25 - mmengine - INFO - Epoch(val) [10][3800/6282] eta: 0:03:49 time: 0.0925 data_time: 0.0242 memory: 1704 2022/08/10 22:33:27 - mmengine - INFO - Epoch(val) [10][3820/6282] eta: 0:04:04 time: 0.0992 data_time: 0.0328 memory: 1704 2022/08/10 22:33:29 - mmengine - INFO - Epoch(val) [10][3840/6282] eta: 0:03:49 time: 0.0941 data_time: 0.0268 memory: 1704 2022/08/10 22:33:30 - mmengine - INFO - Epoch(val) [10][3860/6282] eta: 0:03:09 time: 0.0784 data_time: 0.0134 memory: 1704 2022/08/10 22:33:32 - mmengine - INFO - Epoch(val) [10][3880/6282] eta: 0:03:20 time: 0.0835 data_time: 0.0209 memory: 1704 2022/08/10 22:33:34 - mmengine - INFO - Epoch(val) [10][3900/6282] eta: 0:03:55 time: 0.0988 data_time: 0.0091 memory: 1704 2022/08/10 22:33:35 - mmengine - INFO - Epoch(val) [10][3920/6282] eta: 0:02:36 time: 0.0662 data_time: 0.0070 memory: 1704 2022/08/10 22:33:37 - mmengine - INFO - Epoch(val) [10][3940/6282] eta: 0:02:33 time: 0.0654 data_time: 0.0048 memory: 1704 2022/08/10 22:33:38 - mmengine - INFO - Epoch(val) [10][3960/6282] eta: 0:02:41 time: 0.0697 data_time: 0.0044 memory: 1715 2022/08/10 22:33:40 - mmengine - INFO - Epoch(val) [10][3980/6282] eta: 0:02:40 time: 0.0699 data_time: 0.0039 memory: 1715 2022/08/10 22:33:41 - mmengine - INFO - Epoch(val) [10][4000/6282] eta: 0:02:32 time: 0.0670 data_time: 0.0044 memory: 1715 2022/08/10 22:33:42 - mmengine - INFO - Epoch(val) [10][4020/6282] eta: 0:02:22 time: 0.0630 data_time: 0.0036 memory: 1704 2022/08/10 22:33:44 - mmengine - INFO - Epoch(val) [10][4040/6282] eta: 0:02:36 time: 0.0697 data_time: 0.0039 memory: 1788 2022/08/10 22:33:45 - mmengine - INFO - Epoch(val) [10][4060/6282] eta: 0:03:36 time: 0.0974 data_time: 0.0040 memory: 1788 2022/08/10 22:33:47 - mmengine - INFO - Epoch(val) [10][4080/6282] eta: 0:02:51 time: 0.0777 data_time: 0.0043 memory: 1788 2022/08/10 22:33:49 - mmengine - INFO - Epoch(val) [10][4100/6282] eta: 0:02:49 time: 0.0777 data_time: 0.0054 memory: 1788 2022/08/10 22:33:50 - mmengine - INFO - Epoch(val) [10][4120/6282] eta: 0:02:56 time: 0.0816 data_time: 0.0048 memory: 1788 2022/08/10 22:33:52 - mmengine - INFO - Epoch(val) [10][4140/6282] eta: 0:02:46 time: 0.0779 data_time: 0.0062 memory: 1788 2022/08/10 22:33:53 - mmengine - INFO - Epoch(val) [10][4160/6282] eta: 0:02:08 time: 0.0607 data_time: 0.0051 memory: 1677 2022/08/10 22:33:54 - mmengine - INFO - Epoch(val) [10][4180/6282] eta: 0:01:55 time: 0.0552 data_time: 0.0044 memory: 1677 2022/08/10 22:33:55 - mmengine - INFO - Epoch(val) [10][4200/6282] eta: 0:01:59 time: 0.0576 data_time: 0.0037 memory: 1677 2022/08/10 22:33:57 - mmengine - INFO - Epoch(val) [10][4220/6282] eta: 0:02:45 time: 0.0803 data_time: 0.0038 memory: 1677 2022/08/10 22:33:58 - mmengine - INFO - Epoch(val) [10][4240/6282] eta: 0:01:53 time: 0.0555 data_time: 0.0040 memory: 1677 2022/08/10 22:33:59 - mmengine - INFO - Epoch(val) [10][4260/6282] eta: 0:01:55 time: 0.0572 data_time: 0.0038 memory: 1677 2022/08/10 22:34:00 - mmengine - INFO - Epoch(val) [10][4280/6282] eta: 0:01:54 time: 0.0571 data_time: 0.0042 memory: 1677 2022/08/10 22:34:01 - mmengine - INFO - Epoch(val) [10][4300/6282] eta: 0:01:43 time: 0.0524 data_time: 0.0034 memory: 1677 2022/08/10 22:34:02 - mmengine - INFO - Epoch(val) [10][4320/6282] eta: 0:01:46 time: 0.0545 data_time: 0.0038 memory: 1677 2022/08/10 22:34:04 - mmengine - INFO - Epoch(val) [10][4340/6282] eta: 0:01:55 time: 0.0593 data_time: 0.0050 memory: 1677 2022/08/10 22:34:05 - mmengine - INFO - Epoch(val) [10][4360/6282] eta: 0:01:58 time: 0.0618 data_time: 0.0046 memory: 1704 2022/08/10 22:34:06 - mmengine - INFO - Epoch(val) [10][4380/6282] eta: 0:01:57 time: 0.0620 data_time: 0.0046 memory: 1704 2022/08/10 22:34:08 - mmengine - INFO - Epoch(val) [10][4400/6282] eta: 0:02:40 time: 0.0851 data_time: 0.0041 memory: 1704 2022/08/10 22:34:09 - mmengine - INFO - Epoch(val) [10][4420/6282] eta: 0:01:57 time: 0.0632 data_time: 0.0043 memory: 1704 2022/08/10 22:34:11 - mmengine - INFO - Epoch(val) [10][4440/6282] eta: 0:02:10 time: 0.0707 data_time: 0.0056 memory: 1707 2022/08/10 22:34:12 - mmengine - INFO - Epoch(val) [10][4460/6282] eta: 0:02:04 time: 0.0686 data_time: 0.0050 memory: 1707 2022/08/10 22:34:13 - mmengine - INFO - Epoch(val) [10][4480/6282] eta: 0:02:05 time: 0.0698 data_time: 0.0047 memory: 1707 2022/08/10 22:34:15 - mmengine - INFO - Epoch(val) [10][4500/6282] eta: 0:02:11 time: 0.0740 data_time: 0.0065 memory: 1707 2022/08/10 22:34:16 - mmengine - INFO - Epoch(val) [10][4520/6282] eta: 0:01:58 time: 0.0671 data_time: 0.0043 memory: 1724 2022/08/10 22:34:17 - mmengine - INFO - Epoch(val) [10][4540/6282] eta: 0:01:45 time: 0.0603 data_time: 0.0047 memory: 1724 2022/08/10 22:34:19 - mmengine - INFO - Epoch(val) [10][4560/6282] eta: 0:01:40 time: 0.0585 data_time: 0.0044 memory: 1679 2022/08/10 22:34:20 - mmengine - INFO - Epoch(val) [10][4580/6282] eta: 0:01:43 time: 0.0607 data_time: 0.0050 memory: 1679 2022/08/10 22:34:21 - mmengine - INFO - Epoch(val) [10][4600/6282] eta: 0:02:13 time: 0.0791 data_time: 0.0042 memory: 1679 2022/08/10 22:34:23 - mmengine - INFO - Epoch(val) [10][4620/6282] eta: 0:01:35 time: 0.0574 data_time: 0.0040 memory: 1679 2022/08/10 22:34:24 - mmengine - INFO - Epoch(val) [10][4640/6282] eta: 0:01:57 time: 0.0715 data_time: 0.0048 memory: 1707 2022/08/10 22:34:25 - mmengine - INFO - Epoch(val) [10][4660/6282] eta: 0:01:48 time: 0.0670 data_time: 0.0043 memory: 1707 2022/08/10 22:34:27 - mmengine - INFO - Epoch(val) [10][4680/6282] eta: 0:01:50 time: 0.0690 data_time: 0.0042 memory: 1707 2022/08/10 22:34:28 - mmengine - INFO - Epoch(val) [10][4700/6282] eta: 0:01:41 time: 0.0644 data_time: 0.0038 memory: 1707 2022/08/10 22:34:29 - mmengine - INFO - Epoch(val) [10][4720/6282] eta: 0:01:42 time: 0.0658 data_time: 0.0037 memory: 1707 2022/08/10 22:34:30 - mmengine - INFO - Epoch(val) [10][4740/6282] eta: 0:01:30 time: 0.0590 data_time: 0.0047 memory: 1688 2022/08/10 22:34:32 - mmengine - INFO - Epoch(val) [10][4760/6282] eta: 0:02:12 time: 0.0872 data_time: 0.0038 memory: 1729 2022/08/10 22:34:33 - mmengine - INFO - Epoch(val) [10][4780/6282] eta: 0:01:30 time: 0.0605 data_time: 0.0053 memory: 1688 2022/08/10 22:34:35 - mmengine - INFO - Epoch(val) [10][4800/6282] eta: 0:01:34 time: 0.0638 data_time: 0.0037 memory: 1688 2022/08/10 22:34:36 - mmengine - INFO - Epoch(val) [10][4820/6282] eta: 0:01:34 time: 0.0647 data_time: 0.0047 memory: 1704 2022/08/10 22:34:37 - mmengine - INFO - Epoch(val) [10][4840/6282] eta: 0:01:38 time: 0.0683 data_time: 0.0041 memory: 1704 2022/08/10 22:34:39 - mmengine - INFO - Epoch(val) [10][4860/6282] eta: 0:01:32 time: 0.0649 data_time: 0.0044 memory: 1704 2022/08/10 22:34:40 - mmengine - INFO - Epoch(val) [10][4880/6282] eta: 0:01:33 time: 0.0665 data_time: 0.0045 memory: 1704 2022/08/10 22:34:41 - mmengine - INFO - Epoch(val) [10][4900/6282] eta: 0:01:33 time: 0.0674 data_time: 0.0041 memory: 1704 2022/08/10 22:34:43 - mmengine - INFO - Epoch(val) [10][4920/6282] eta: 0:01:29 time: 0.0658 data_time: 0.0043 memory: 1704 2022/08/10 22:34:45 - mmengine - INFO - Epoch(val) [10][4940/6282] eta: 0:02:10 time: 0.0974 data_time: 0.0054 memory: 1704 2022/08/10 22:34:46 - mmengine - INFO - Epoch(val) [10][4960/6282] eta: 0:01:36 time: 0.0731 data_time: 0.0043 memory: 1704 2022/08/10 22:34:48 - mmengine - INFO - Epoch(val) [10][4980/6282] eta: 0:01:34 time: 0.0725 data_time: 0.0039 memory: 1704 2022/08/10 22:34:49 - mmengine - INFO - Epoch(val) [10][5000/6282] eta: 0:01:28 time: 0.0688 data_time: 0.0050 memory: 1704 2022/08/10 22:34:50 - mmengine - INFO - Epoch(val) [10][5020/6282] eta: 0:01:22 time: 0.0650 data_time: 0.0044 memory: 1704 2022/08/10 22:34:51 - mmengine - INFO - Epoch(val) [10][5040/6282] eta: 0:01:09 time: 0.0561 data_time: 0.0050 memory: 1677 2022/08/10 22:34:53 - mmengine - INFO - Epoch(val) [10][5060/6282] eta: 0:01:16 time: 0.0624 data_time: 0.0053 memory: 1677 2022/08/10 22:34:54 - mmengine - INFO - Epoch(val) [10][5080/6282] eta: 0:01:18 time: 0.0656 data_time: 0.0038 memory: 1723 2022/08/10 22:34:55 - mmengine - INFO - Epoch(val) [10][5100/6282] eta: 0:01:09 time: 0.0588 data_time: 0.0050 memory: 1677 2022/08/10 22:34:56 - mmengine - INFO - Epoch(val) [10][5120/6282] eta: 0:01:06 time: 0.0573 data_time: 0.0041 memory: 1677 2022/08/10 22:34:57 - mmengine - INFO - Epoch(val) [10][5140/6282] eta: 0:01:03 time: 0.0553 data_time: 0.0042 memory: 1677 2022/08/10 22:34:59 - mmengine - INFO - Epoch(val) [10][5160/6282] eta: 0:01:30 time: 0.0803 data_time: 0.0050 memory: 1677 2022/08/10 22:35:00 - mmengine - INFO - Epoch(val) [10][5180/6282] eta: 0:01:05 time: 0.0593 data_time: 0.0052 memory: 1677 2022/08/10 22:35:01 - mmengine - INFO - Epoch(val) [10][5200/6282] eta: 0:01:04 time: 0.0592 data_time: 0.0041 memory: 1677 2022/08/10 22:35:03 - mmengine - INFO - Epoch(val) [10][5220/6282] eta: 0:01:00 time: 0.0572 data_time: 0.0042 memory: 1677 2022/08/10 22:35:04 - mmengine - INFO - Epoch(val) [10][5240/6282] eta: 0:01:20 time: 0.0771 data_time: 0.0048 memory: 1773 2022/08/10 22:35:05 - mmengine - INFO - Epoch(val) [10][5260/6282] eta: 0:01:01 time: 0.0597 data_time: 0.0041 memory: 1677 2022/08/10 22:35:07 - mmengine - INFO - Epoch(val) [10][5280/6282] eta: 0:00:59 time: 0.0596 data_time: 0.0036 memory: 1697 2022/08/10 22:35:08 - mmengine - INFO - Epoch(val) [10][5300/6282] eta: 0:00:58 time: 0.0595 data_time: 0.0041 memory: 1677 2022/08/10 22:35:09 - mmengine - INFO - Epoch(val) [10][5320/6282] eta: 0:00:54 time: 0.0564 data_time: 0.0045 memory: 1677 2022/08/10 22:35:10 - mmengine - INFO - Epoch(val) [10][5340/6282] eta: 0:01:14 time: 0.0789 data_time: 0.0037 memory: 1677 2022/08/10 22:35:12 - mmengine - INFO - Epoch(val) [10][5360/6282] eta: 0:00:51 time: 0.0558 data_time: 0.0041 memory: 1677 2022/08/10 22:35:13 - mmengine - INFO - Epoch(val) [10][5380/6282] eta: 0:00:58 time: 0.0649 data_time: 0.0041 memory: 1747 2022/08/10 22:35:14 - mmengine - INFO - Epoch(val) [10][5400/6282] eta: 0:00:52 time: 0.0591 data_time: 0.0038 memory: 1677 2022/08/10 22:35:15 - mmengine - INFO - Epoch(val) [10][5420/6282] eta: 0:00:51 time: 0.0594 data_time: 0.0054 memory: 1677 2022/08/10 22:35:16 - mmengine - INFO - Epoch(val) [10][5440/6282] eta: 0:00:48 time: 0.0573 data_time: 0.0065 memory: 1677 2022/08/10 22:35:18 - mmengine - INFO - Epoch(val) [10][5460/6282] eta: 0:00:44 time: 0.0542 data_time: 0.0039 memory: 1677 2022/08/10 22:35:19 - mmengine - INFO - Epoch(val) [10][5480/6282] eta: 0:00:46 time: 0.0586 data_time: 0.0040 memory: 1677 2022/08/10 22:35:20 - mmengine - INFO - Epoch(val) [10][5500/6282] eta: 0:00:44 time: 0.0564 data_time: 0.0048 memory: 1677 2022/08/10 22:35:22 - mmengine - INFO - Epoch(val) [10][5520/6282] eta: 0:01:05 time: 0.0854 data_time: 0.0055 memory: 1686 2022/08/10 22:35:23 - mmengine - INFO - Epoch(val) [10][5540/6282] eta: 0:00:47 time: 0.0638 data_time: 0.0055 memory: 1686 2022/08/10 22:35:24 - mmengine - INFO - Epoch(val) [10][5560/6282] eta: 0:00:50 time: 0.0699 data_time: 0.0100 memory: 1686 2022/08/10 22:35:25 - mmengine - INFO - Epoch(val) [10][5580/6282] eta: 0:00:41 time: 0.0592 data_time: 0.0044 memory: 1686 2022/08/10 22:35:27 - mmengine - INFO - Epoch(val) [10][5600/6282] eta: 0:00:41 time: 0.0615 data_time: 0.0045 memory: 1686 2022/08/10 22:35:28 - mmengine - INFO - Epoch(val) [10][5620/6282] eta: 0:00:38 time: 0.0580 data_time: 0.0043 memory: 1686 2022/08/10 22:35:29 - mmengine - INFO - Epoch(val) [10][5640/6282] eta: 0:00:37 time: 0.0576 data_time: 0.0034 memory: 1677 2022/08/10 22:35:30 - mmengine - INFO - Epoch(val) [10][5660/6282] eta: 0:00:34 time: 0.0549 data_time: 0.0034 memory: 1677 2022/08/10 22:35:31 - mmengine - INFO - Epoch(val) [10][5680/6282] eta: 0:00:31 time: 0.0524 data_time: 0.0039 memory: 1677 2022/08/10 22:35:32 - mmengine - INFO - Epoch(val) [10][5700/6282] eta: 0:00:31 time: 0.0537 data_time: 0.0038 memory: 1677 2022/08/10 22:35:34 - mmengine - INFO - Epoch(val) [10][5720/6282] eta: 0:00:45 time: 0.0810 data_time: 0.0035 memory: 1692 2022/08/10 22:35:35 - mmengine - INFO - Epoch(val) [10][5740/6282] eta: 0:00:32 time: 0.0605 data_time: 0.0047 memory: 1692 2022/08/10 22:35:36 - mmengine - INFO - Epoch(val) [10][5760/6282] eta: 0:00:32 time: 0.0629 data_time: 0.0043 memory: 1692 2022/08/10 22:35:38 - mmengine - INFO - Epoch(val) [10][5780/6282] eta: 0:00:32 time: 0.0650 data_time: 0.0043 memory: 1740 2022/08/10 22:35:39 - mmengine - INFO - Epoch(val) [10][5800/6282] eta: 0:00:30 time: 0.0641 data_time: 0.0038 memory: 1692 2022/08/10 22:35:40 - mmengine - INFO - Epoch(val) [10][5820/6282] eta: 0:00:29 time: 0.0642 data_time: 0.0045 memory: 1692 2022/08/10 22:35:41 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:26 time: 0.0598 data_time: 0.0038 memory: 1686 2022/08/10 22:35:43 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:26 time: 0.0622 data_time: 0.0055 memory: 1686 2022/08/10 22:35:44 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:35 time: 0.0881 data_time: 0.0055 memory: 1686 2022/08/10 22:35:46 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:23 time: 0.0609 data_time: 0.0051 memory: 1686 2022/08/10 22:35:47 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:21 time: 0.0581 data_time: 0.0051 memory: 1686 2022/08/10 22:35:48 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:18 time: 0.0530 data_time: 0.0047 memory: 1677 2022/08/10 22:35:49 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:17 time: 0.0531 data_time: 0.0038 memory: 1677 2022/08/10 22:35:50 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:16 time: 0.0537 data_time: 0.0034 memory: 1677 2022/08/10 22:35:51 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:18 time: 0.0657 data_time: 0.0043 memory: 1704 2022/08/10 22:35:53 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:18 time: 0.0719 data_time: 0.0060 memory: 1704 2022/08/10 22:35:54 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:18 time: 0.0781 data_time: 0.0073 memory: 1704 2022/08/10 22:35:56 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:16 time: 0.0760 data_time: 0.0058 memory: 1715 2022/08/10 22:35:58 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:20 time: 0.1014 data_time: 0.0047 memory: 1715 2022/08/10 22:36:00 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:14 time: 0.0780 data_time: 0.0084 memory: 1873 2022/08/10 22:36:01 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:12 time: 0.0775 data_time: 0.0060 memory: 1704 2022/08/10 22:36:03 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:12 time: 0.0857 data_time: 0.0107 memory: 1840 2022/08/10 22:36:04 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:10 time: 0.0826 data_time: 0.0036 memory: 1840 2022/08/10 22:36:06 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:06 time: 0.0682 data_time: 0.0039 memory: 1704 2022/08/10 22:36:07 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:05 time: 0.0627 data_time: 0.0045 memory: 1704 2022/08/10 22:36:09 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:05 time: 0.0879 data_time: 0.0047 memory: 1704 2022/08/10 22:36:10 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:02 time: 0.0609 data_time: 0.0030 memory: 1704 2022/08/10 22:36:11 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:01 time: 0.0574 data_time: 0.0026 memory: 1704 2022/08/10 22:36:13 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0635 data_time: 0.0025 memory: 1704 2022/08/10 22:40:44 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.2763 2022/08/10 22:40:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/acrn_slowfast_acrn_kinetics_pretrained_r50_8x8x1_cosine_10e_ava22_rgb/best_mAP/mAP@0.5IOU_epoch_10.pth is removed 2022/08/10 22:40:50 - mmengine - INFO - The best checkpoint with 0.2763 mAP/mAP@0.5IOU at 11 epoch is saved to best_mAP/mAP@0.5IOU_epoch_11.pth.