Update README.md

README.md

@@ -20,16 +20,16 @@ This is an INT8  PyTorch model quantized with [Intel® Neural Compressor](https:
 
 The original fp32 model comes from the fine-tuned model [Intel/bert-base-uncased-mrpc](https://huggingface.co/Intel/bert-base-uncased-mrpc).
 
-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 calibration dataloader is the train dataloader. The calibration sampling size is 1000.
 
-The linear module **bert.encoder.layer.9.output.dense, bert.encoder.layer.10.output.dense** falls back to fp32 to meet the 1% relative accuracy loss.
+The linear module **bert.encoder.layer.9.output.dense** falls back to fp32 to meet the 1% relative accuracy loss.
 
 ### Test result
 
 |   |INT8|FP32|
 |---|:---:|:---:|
-| **Accuracy (eval-f1)** |0.8997|0.9042|
-| **Model size (MB)**  |120|418|
+| **Accuracy (eval-f1)** |0.8959|0.9042|
+| **Model size (MB)**  |119|418|
 
 ### Load with Intel® Neural Compressor: