|
--- |
|
license: apache-2.0 |
|
tags: |
|
- int8 |
|
- Intel® Neural Compressor |
|
- PostTrainingStatic |
|
datasets: |
|
- squad |
|
metrics: |
|
- f1 |
|
--- |
|
|
|
# INT8 DistilBERT base uncased finetuned on Squad |
|
|
|
### Post-training static quantization |
|
|
|
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 [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad). |
|
|
|
The calibration dataloader is the train dataloader. The default calibration sampling size 300 isn't divisible exactly by batch size 8, so the real sampling size is 304. |
|
|
|
The linear module **distilbert.transformer.layer.1.ffn.lin2** falls back to fp32 to meet the 1% relative accuracy loss. |
|
|
|
### Test result |
|
|
|
| |INT8|FP32| |
|
|---|:---:|:---:| |
|
| **Accuracy (eval-f1)** |86.1069|86.8374| |
|
| **Model size (MB)** |74.7|265| |
|
|
|
### Load with Intel® Neural Compressor: |
|
|
|
```python |
|
from neural_compressor.utils.load_huggingface import OptimizedModel |
|
int8_model = OptimizedModel.from_pretrained( |
|
'Intel/distilbert-base-uncased-distilled-squad-int8-static', |
|
) |
|
``` |
|
|
