Mt5-neutralization-es

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1368
• Bleu: 81.3122
• Gen Len: 17.4896

Intended uses & limitations

Translating Spanish sentences and texts into neutral,"inclusive" language Los alumnos: el alumnado Las enfermeras: el personal sanitario

Training and evaluation data

Training and evaluation dataset: Spanish Gender Neutralization dataset

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

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	440	0.1853	81.0788	18.3125
1.9771	2.0	880	0.1368	81.3122	17.4896

Framework versions

• Transformers 4.50.1
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1