Collections:
  - Name: QAT
    README: configs/quantization/qat/base/README.md
Models:
  - Name: qat_openvino_resnet18_10e_8xb32_in1k.py
    In Collection: QAT
    Metadata:
      Backend: openvino
      Float Model:
        Config: mmcls::resnet/resnet18_8xb32_in1k.py
        Weights: https://download.openmmlab.com/mmclassification/v0/resnet/resnet18_8xb32_in1k_20210831-fbbb1da6.pth
        Metrics:
          Top 1 Accuracy: 69.90
    Results:
      - Task: Image Classification
        Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 69.98
    Config: configs/quantization/qat/base/qat_openvino_resnet18_10e_8xb32_in1k.py
    Weights: https://download.openmmlab.com/mmrazor/v1/quantization/qat/openvino/qat_openvino_resnet18_8xb32_10e_in1k_20230413_172732-5b9ff01d.pth
