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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  language: es
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- license: gpl-3.0
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  tags:
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  - PyTorch
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  - Transformers
@@ -36,12 +36,6 @@ for ent in ner_pipe(example):
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  print(ent)
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  ```
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- ```
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- {'entity_group': 'LOC', 'score': 0.99795026, 'word': ' Sigüeiro', 'start': 22, 'end': 30}
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- {'entity_group': 'LOC', 'score': 0.997823, 'word': ' Camino de Santiago', 'start': 38, 'end': 56}
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- {'entity_group': 'ORG', 'score': 0.98481846, 'word': ' Ministerio de Industria y Competitividad', 'start': 85, 'end': 125}
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- ```
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-
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  ## Model performance
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  entity|precision|recall|f1
@@ -50,9 +44,7 @@ PER|0.965|0.924|0.944
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  ORG|0.900|0.701|0.788
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  LOC|0.982|0.985|0.983
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  MISC|0.798|0.874|0.834
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- micro avg|0.964|0.968|0.966
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- macro avg|0.911|0.871|0.887
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- weighted avg|0.965|0.968|0.966
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  ## Training procedure
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  ---
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  language: es
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+ license: gpl
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  tags:
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  - PyTorch
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  - Transformers
 
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  print(ent)
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  ```
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  ## Model performance
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  entity|precision|recall|f1
 
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  ORG|0.900|0.701|0.788
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  LOC|0.982|0.985|0.983
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  MISC|0.798|0.874|0.834
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+ Overall|0.964|0.968|0.966
 
 
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  ## Training procedure
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config.json ADDED
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+ {
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+ "_name_or_path": "PlanTL-GOB-ES/roberta-base-bne",
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+ "architectures": [
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+ "RobertaForTokenClassification"
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+ "id2label": {
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+ "3": "B-PER",
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+ "layer_norm_eps": 1e-05,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ }
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