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---
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 import INCModelForSequenceClassification
model_id = "Intel/bert-large-uncased-rte-int8-dynamic"
int8_model = INCModelForSequenceClassification.from_pretrained(model_id)
```
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