README.md

metadata

language: en
license: mit
tags:
  - text-classfication
  - int8
  - Intel® Neural Compressor
  - QuantizationAwareTraining
datasets:
  - mrpc
metrics:
  - f1

INT8 MiniLM finetuned MRPC

QuantizationAwareTraining

This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor.

The original fp32 model comes from the fine-tuned model Intel/MiniLM-L12-H384-uncased-mrpc.

Test result

	INT8	FP32
Accuracy (eval-f1)	0.9068	0.9097
Model size (MB)	33.1	127

Load with optimum:

from optimum.intel import INCModelForSequenceClassification 

model_id = "Intel/MiniLM-L12-H384-uncased-mrpc-int8-qat"
int8_model = INCModelForSequenceClassification(model_id)

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0
• train_batch_size: 16
• eval_batch_size: 8