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--- |
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language: en |
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tags: |
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- bert |
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- rte |
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- glue |
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- torchdistill |
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- nlp |
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- int8 |
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- neural-compressor |
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- Intel® Neural Compressor |
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- text-classfication |
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- PostTrainingStatic |
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license: apache-2.0 |
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datasets: |
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- rte |
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metrics: |
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- f1 |
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--- |
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# INT8 bert-large-uncased-rte-int8-static |
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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 [Intel® Neural Compressor](https://github.com/intel/neural-compressor). |
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The original fp32 model comes from the fine-tuned model [yoshitomo-matsubara/bert-large-uncased-rte](https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-rte). |
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#### Test result |
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| |INT8|FP32| |
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|---|:---:|:---:| |
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| **Accuracy (eval-f1)** |0.7365|0.7401| |
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| **Model size (MB)** |1244|1349| |
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#### Load with Intel® Neural Compressor: |
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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-large-uncased-rte-int8-static", |
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) |
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``` |
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