biobert_v1.1_pubmed-finetuned-ner-finetuned-ner

This model is a fine-tuned version of fidukm34/biobert_v1.1_pubmed-finetuned-ner on the ncbi_disease dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0715
  • Precision: 0.8464
  • Recall: 0.8872
  • F1: 0.8663
  • Accuracy: 0.9829

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: 1

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 340 0.0715 0.8464 0.8872 0.8663 0.9829

Framework versions

  • Transformers 4.8.1
  • Pytorch 1.9.0+cu102
  • Datasets 1.11.0
  • Tokenizers 0.10.3
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