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@@ -15,7 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # roberta-finetuned-CPV_Spanish
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- This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0465
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  - F1: 0.7918
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  - Coverage Error: 10.2744
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  - Label Ranking Average Precision Score: 0.7973
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- ## Model description
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- More information needed
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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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  # roberta-finetuned-CPV_Spanish
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+ This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on a dataset derived from Spanish Public Procurement documents from 2019. The whole fine-tuning process is available in the following [Kaggle notebook](https://www.kaggle.com/code/marianavasloro/fine-tuned-roberta-for-spanish-cpv-codes).
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0465
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  - F1: 0.7918
 
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  - Coverage Error: 10.2744
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  - Label Ranking Average Precision Score: 0.7973
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  ## Intended uses & limitations
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+ This model only predicts the first two digits of the CPV codes.
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  ## Training and evaluation data
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  ## Training procedure
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  ### Training hyperparameters