Update README.md

README.md

@@ -1,3 +1,39 @@
 ---
 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',
+)
+```