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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT
    results: []

roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-biomedical-clinical-es on the CRAFT dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1720
  • Precision: 0.8253
  • Recall: 0.8147
  • F1: 0.8200
  • Accuracy: 0.9660

Model description

This model performs Named Entity Recognition for 6 entity tags: Sequence, Cell, Protein, Gene, Taxon, and Chemical from the CRAFT(Colorado Richly Annotated Full Text) Corpus in English. Entity tags have been normalized and replaced from the original three letter code to a full name e.g. B-Protein, I-Chemical.

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: 3e-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: 4

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.1133 1.0 1360 0.1629 0.7985 0.7782 0.7882 0.9610
0.049 2.0 2720 0.1530 0.8165 0.8084 0.8124 0.9651
0.0306 3.0 4080 0.1603 0.8198 0.8075 0.8136 0.9650
0.0158 4.0 5440 0.1720 0.8253 0.8147 0.8200 0.9660

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.11.6