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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/mt5-base |
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tags: |
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- simplification |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: Mt5-neutralization-es |
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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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pipeline_tag: text2text-generation |
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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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should probably proofread and complete it, then remove this comment. --> |
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# Mt5-neutralization-es |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1368 |
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- Bleu: 81.3122 |
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- Gen Len: 17.4896 |
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## Intended uses & limitations |
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Translating Spanish sentences and texts into neutral,"inclusive" language |
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Los alumnos: el alumnado |
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Las enfermeras: el personal sanitario |
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## Training and evaluation data |
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Training and evaluation dataset: Spanish Gender Neutralization dataset |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 440 | 0.1853 | 81.0788 | 18.3125 | |
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| 1.9771 | 2.0 | 880 | 0.1368 | 81.3122 | 17.4896 | |
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### Framework versions |
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- Transformers 4.50.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
