biobert-base-cased-v1.2-finetuned-ner

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biobert-base-cased-v1.2-finetuned-ner

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the jnlpba dataset. It achieves the following results on the evaluation set:

• Loss: 0.3655
• Precision: 0.7151
• Recall: 0.8301
• F1: 0.7683
• Accuracy: 0.9050

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
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.1+cu102
• Datasets 1.13.2
• Tokenizers 0.10.3