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--- |
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base_model: NazaGara/NER-fine-tuned-BETO |
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tags: |
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- generated_from_trainer |
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datasets: |
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- conll2002 |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: beto-finetuned-ner-1 |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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name: conll2002 |
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type: conll2002 |
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config: es |
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split: validation |
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args: es |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.861199 |
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- name: Recall |
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type: recall |
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value: 0.871094 |
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- name: F1 |
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type: f1 |
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value: 0.866118 |
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- name: Accuracy |
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type: accuracy |
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value: 0.972756 |
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--- |
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# beto-finetuned-ner-1 |
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Este es modelo resultado de un finetuning de |
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[NazaGara/NER-fine-tuned-BETO](https://huggingface.co/NazaGara/NER-fine-tuned-BETO) sobre el conll2002 dataset. |
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Los siguientes son los resultados sobre el conjunto de evaluación: |
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- Loss: 0.011627381848212506 |
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- Precision: 0.861199 |
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- Recall: 0.871094 |
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- F1: 0.8851 |
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- Accuracy: 0,972756 |
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## Model description |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- weight_decay: 0.001 |
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- num_epochs: 8 |
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