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--- |
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language: en |
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license: mit |
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tags: |
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- text-classfication |
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- int8 |
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- Intel® Neural Compressor |
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- PostTrainingStatic |
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- bert |
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datasets: |
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- mrpc |
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- stsb |
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metrics: |
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- f1 |
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--- |
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# INT8 BERT base uncased finetuned STS-B |
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## Post-training static quantization |
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### PyTorch |
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This is an INT8 PyTorch model quantized with [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor). |
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The original fp32 model comes from the fine-tuned model [textattack/bert-base-uncased-STS-B](https://huggingface.co/textattack/bert-base-uncased-STS-B). |
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#### Test result |
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| |INT8|FP32| |
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|---|:---:|:---:| |
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| **Accuracy (eval-f1)** |0.8755|0.8805| |
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| **Model size (MB)** |118|438| |
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#### Load with optimum: |
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```python |
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from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification |
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int8_model = IncQuantizedModelForSequenceClassification.from_pretrained( |
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'Intel/bert-base-uncased-STS-B-int8', |
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) |
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``` |
