NIHNCATS/NHS-BiomedNLP-BiomedBERT-hypop

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NHS-BiomedNLP-BiomedBERT-hypop

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4277
• —Accuracy: 0.8293
• —Precision: 0.8301
• —Recall: 0.8375
• —F1: 0.8285

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: 3e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 6

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.2.2+cpu
• —Datasets 2.18.0
• —Tokenizers 0.15.2