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README.md
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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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## Intended uses & limitations
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## Training and evaluation data
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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
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