metadata
language:
- en
license: apache-2.0
tags:
- text-classfication
- int8
- Intel® Neural Compressor
- PostTrainingDynamic
- onnx
datasets:
- glue
metrics:
- f1
model-index:
- name: bart-large-mrpc-int8-dynamic
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
metrics:
- name: F1
type: f1
value: 0.9050847457627118
INT8 bart-large-mrpc
Post-training dynamic quantization
PyTorch
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 bart-large-mrpc.
Test result
INT8 | FP32 | |
---|---|---|
Accuracy (eval-f1) | 0.9051 | 0.9120 |
Model size (MB) | 547 | 1556.48 |
Load with optimum:
from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
'Intel/bart-large-mrpc-int8-dynamic',
)
ONNX
This is an INT8 ONNX model quantized with Intel® Neural Compressor.
The original fp32 model comes from the fine-tuned model bart-large-mrpc.
Test result
INT8 | FP32 | |
---|---|---|
Accuracy (eval-f1) | 0.9236 | 0.9120 |
Model size (MB) | 764 | 1555 |
Load ONNX model:
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained('Intel/bart-large-mrpc-int8-dynamic')