README.md

metadata

base_model: NazaGara/NER-fine-tuned-BETO
tags:
  - generated_from_trainer
datasets:
  - conll2002
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: beto-finetuned-ner-1
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: conll2002
          type: conll2002
          config: es
          split: validation
          args: es
        metrics:
          - name: Precision
            type: precision
            value: 0.861199
          - name: Recall
            type: recall
            value: 0.871094
          - name: F1
            type: f1
            value: 0.866118
          - name: Accuracy
            type: accuracy
            value: 0.972756

beto-finetuned-ner-1

Este es modelo resultado de un finetuning de NazaGara/NER-fine-tuned-BETO sobre el conll2002 dataset. Los siguientes son los resultados sobre el conjunto de evaluación:

• Loss: 0.011627381848212506
• Precision: 0.861199
• Recall: 0.871094
• F1: 0.8851
• Accuracy: 0,972756

Model description

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
• weight_decay: 0.001
• num_epochs: 8