| model_name: Resnet50 | |
| liteml_config: 'liteml_config.yaml' | |
| quantization_type: W8A8 static | |
| dataset: ImageNet | |
| notes: Quantized W8A8 Resnet50 model from torchvision | |
| # TODO: move float accuracy somewhere else | |
| top1_float: 0.555 | |
| top5_float: 0.777 | |
| model_name: Resnet50 | |
| liteml_config: 'liteml_config.yaml' | |
| quantization_type: W8A8 static | |
| dataset: ImageNet | |
| notes: Quantized W8A8 Resnet50 model from torchvision | |
| # TODO: move float accuracy somewhere else | |
| top1_float: 0.555 | |
| top5_float: 0.777 | |