Create README.md

README.md

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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
+