README.md

metadata

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.

The original fp32 model comes from the fine-tuned model 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:

from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification

int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
    "Intel/bert-large-uncased-rte-int8-dynamic",
)