---
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)
```