mbart-neutralization

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mbart-neutralization

This model is a fine-tuned version of facebook/mbart-large-50 on the dataset Spanish Gender Neutralization dataset. It achieves the following results on the evaluation set:

• Loss: 0.0117
• Bleu: 96.8831
• Gen Len: 22.9479

Model description

This model intends to translate sentences from current Spanish to neutralised Spanish.

Intended uses & limitations

This model has been created as an in-class exercice, so the coverage of it can be very limited.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0