| language: | |
| - en | |
| license: mit | |
| tags: | |
| - text-classfication | |
| - int8 | |
| - Intel® Neural Compressor | |
| - neural-compressor | |
| - PostTrainingStatic | |
| datasets: | |
| - glue | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: roberta-base-mrpc-int8-static | |
| results: | |
| - task: | |
| name: Text Classification | |
| type: text-classification | |
| dataset: | |
| name: GLUE MRPC | |
| type: glue | |
| args: mrpc | |
| metrics: | |
| - name: F1 | |
| type: f1 | |
| value: 0.924693520140105 | |
| # INT8 roberta-base-mrpc | |
| ### Post-training static quantization | |
| This is an INT8 PyTorch model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor). | |
| The original fp32 model comes from the fine-tuned model [roberta-base-mrpc](https://huggingface.co/Intel/roberta-base-mrpc). | |
| The calibration dataloader is the train dataloader. The default calibration sampling size 100 isn't divisible exactly by batch size 8, so the real sampling size is 104. | |
| ### Test result | |
| | |INT8|FP32| | |
| |---|:---:|:---:| | |
| | **Accuracy (eval-f1)** |0.9177|0.9138| | |
| | **Model size (MB)** |127|499| | |
| ### Load with Intel® Neural Compressor: | |
| ```python | |
| from neural_compressor.utils.load_huggingface import OptimizedModel | |
| int8_model = OptimizedModel.from_pretrained( | |
| 'Intel/roberta-base-mrpc-int8-static', | |
| ) | |
| ``` | |