
# 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.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
    'Intel/bert-base-uncased-QNLI-int8',
)
```
{"language": "en", "license": "mit", "tags": ["text-classfication", "int8", "Intel\u00ae Neural Compressor", "PostTrainingStatic", "bert"], "datasets": ["mrpc", "qnli"], "metrics": ["f1"]}
transformers pytorch bert text-classification text-classfication int8 Intel® Neural Compressor PostTrainingStatic en dataset:mrpc dataset:qnli license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #text-classfication #int8 #Intel® Neural Compressor #PostTrainingStatic #en #dataset-mrpc #dataset-qnli #license-mit #autotrain_compatible #endpoints_compatible #region-us 

INT8 BERT base uncased finetuned QNLI
=====================================


Post-training static quantization
---------------------------------


### PyTorch


This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model textattack/bert-base-uncased-QNLI.


#### Test result



#### Load with optimum:



### PyTorch


This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model textattack/bert-base-uncased-QNLI. #### Test result #### Load with optimum:
TAGS
#transformers #pytorch #bert #text-classification #text-classfication #int8 #Intel® Neural Compressor #PostTrainingStatic #en #dataset-mrpc #dataset-qnli #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### PyTorch


This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.


The original fp32 model comes from the fine-tuned model textattack/bert-base-uncased-QNLI. #### Test result #### Load with optimum: