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bert-finetuned-ner

This model is a fine-tuned version of bert-base-uncased on the ncbi_disease dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0591

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.1127 1.0 680 0.0593
0.0442 2.0 1360 0.0557
0.0181 3.0 2040 0.0591

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train kalex/bert-finetuned-ner