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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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- Transformers 4.49.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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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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Disclaimer: this is part of a practical excerise carried out as part of the University course "Machine Traslation" of the Master's Degree in Language Processing and Applied AI to Linguistcs of Universidad de La Rioja.
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0108
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- Bleu: 98.1545
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- Gen Len: 18.8229
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## Intended uses & limitations
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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