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---
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
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