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README.md
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license: mit
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---
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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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```
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