Meli101/biobert-v1.1-text-classifier-corpus-ptc

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biobert-v1.1-text-classifier-corpus-ptc

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: 0.8871
• —Precision: 0.6734
• —Recall: 0.6476
• —Accuracy: 0.7495
• —F1: 0.6556

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: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.17.1
• —Tokenizers 0.15.2