---
language: en
tags:
- bert
- rte
- glue
- torchdistill
- nlp
- int8
- neural-compressor
- Intel® Neural Compressor
- text-classfication
- PostTrainingDynamic
license: apache-2.0
datasets:
- rte
metrics:
- f1
---

# INT8 bert-large-uncased-rte-int8-dynamic

## Post-training dynamic quantization

### PyTorch

This is an INT8  PyTorch model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 

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).

#### Test result

|   |INT8|FP32|
|---|:---:|:---:|
| **Accuracy (eval-f1)** |0.7076|0.7401|
| **Model size (MB)**  |766|1349|

#### Load with Intel® Neural Compressor:

```python
from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification

int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
    "Intel/bert-large-uncased-rte-int8-dynamic",
)
```