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---
language: en
license: mit
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingStatic
- bert
datasets:
- mrpc
- qnli
metrics:
- f1
---
# INT8 BERT base uncased finetuned QNLI
## Post-training static quantization
### PyTorch
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).
The original fp32 model comes from the fine-tuned model [textattack/bert-base-uncased-QNLI](https://huggingface.co/textattack/bert-base-uncased-QNLI).
#### Test result
| |INT8|FP32|
|---|:---:|:---:|
| **Accuracy (eval-f1)** |0.9081|0.9154|
| **Model size (MB)** |133|438|
#### Load with optimum:
```python
from optimum.intel import INCModelForSequenceClassification
model_id = "Intel/bert-base-uncased-QNLI-int8"
int8_model = INCModelForSequenceClassification.from_pretrained(model_id)
```
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