blizrys/biobert-v1.1-finetuned-pubmedqa

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biobert-v1.1-finetuned-pubmedqa

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7737
• —Accuracy: 0.7

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.10.2
• —Pytorch 1.9.0+cu102
• —Datasets 1.11.0
• —Tokenizers 0.10.3