BERT
Collection
BERT models of varying flavors
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26 items
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Updated
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/bert-base-uncased-mrpc.
INT8 | FP32 | |
---|---|---|
Accuracy (eval-f1) | 0.9142 | 0.9042 |
Model size (MB) | 107 | 418 |
from optimum.intel import INCModelForSequenceClassification
model_id = "Intel/bert-base-uncased-mrpc-int8-qat"
int8_model = INCModelForSequenceClassification.from_pretrained(model_id)
The following hyperparameters were used during training: