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@@ -10,6 +10,10 @@ metrics:
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  model-index:
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  - name: mbart-neutralization
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  results: []
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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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  - Transformers 5.2.0
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  - Pytorch 2.10.0+cu128
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  - Datasets 4.6.0
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- - Tokenizers 0.22.2
 
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  model-index:
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  - name: mbart-neutralization
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  results: []
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+ datasets:
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+ - somosnlp-hackathon-2022/neutral-es
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+ language:
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+ - es
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  ## Model description
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+ This model is designed to convert Spanish gendered text into inclusive language. It was developed as part of a Master’s degree project in Natural Language Processing (NLP).
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  ## Intended uses & limitations
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+ The model was trained on a relatively small dataset, so its performance is limited and the results may not always be reliable. It is intended primarily for educational and experimental purposes.
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  ## Training and evaluation data
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+ The model was trained with this dataset of Spanish Gender Neutralization: https://huggingface.co/datasets/somosnlp-hackathon-2022/neutral-es
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  ## Training procedure
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  - Transformers 5.2.0
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  - Pytorch 2.10.0+cu128
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  - Datasets 4.6.0
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+ - Tokenizers 0.22.2