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INT8 roberta-base-mrpc

Post-training static quantization

This is an INT8 PyTorch model quantized with Intel® Neural Compressor.

The original fp32 model comes from the fine-tuned model 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:

from neural_compressor.utils.load_huggingface import OptimizedModel
int8_model = OptimizedModel.from_pretrained(
    'Intel/roberta-base-mrpc-int8-static',
)
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Dataset used to train Intel/roberta-base-mrpc-int8-static

Evaluation results