---
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](https://huggingface.co/NazaGara/NER-fine-tuned-BETO) sobre el conll2002 dataset.
Los siguientes son los resultados sobre el conjunto de evaluación:
- 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