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adalbertojunior
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test-medner

Token Classification
Transformers
PyTorch
bert
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Eval Results
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test-ner-4

This model is a fine-tuned version of pucpr/biobertpt-all on the adalbertojunior/substance_quantity dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0001
  • Precision: 1.0
  • Recall: 1.0
  • F1: 1.0
  • Accuracy: 1.0

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: 5e-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: 3.0

Training results

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.11.0
  • Tokenizers 0.14.1
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pucpr/biobertpt-all
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Dataset used to train adalbertojunior/test-medner

Evaluation results

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