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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
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Model tree for Irisba/Mt5-neutralization-es
Base model
google/mt5-base