biobert_v1.1_pubmed-finetuned-ner

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biobert_v1.1_pubmed-finetuned-ner

This model is a fine-tuned version of monologg/biobert_v1.1_pubmed on the ncbi_disease dataset. It achieves the following results on the evaluation set:

• Loss: 0.0657
• Precision: 0.8338
• Recall: 0.8933
• F1: 0.8625
• Accuracy: 0.9827

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: 3

Training results

Framework versions

• Transformers 4.8.1
• Pytorch 1.9.0
• Datasets 1.6.2
• Tokenizers 0.10.3