Originalbiobert-v1.1-BioRED-CD-128-32-30

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0001
• Precision: 0.9994
• Recall: 1.0
• F1: 0.9997

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 1
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30.0

Training results

Framework versions

• Transformers 4.11.3
• Pytorch 1.12.0+cu102
• Datasets 2.3.2
• Tokenizers 0.10.3