metadata
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-neutralizacion-es
results: []
datasets:
- somosnlp-hackathon-2022/neutral-es
mbart-neutralizacion-es
This model is a fine-tuned version of facebook/mbart-large-50 on dataset somosnlp-hackathon-2022/neutral-es. It achieves the following results on the evaluation set:
- Loss: 0.0104
- Bleu: 99.0106
- Gen Len: 18.6146
Model description
Model to neutralize gendered text.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 352 | 0.0304 | 97.1712 | 18.5729 |
| 1.6026 | 2.0 | 704 | 0.0121 | 98.6521 | 18.5729 |
| 0.0232 | 3.0 | 1056 | 0.0104 | 99.0106 | 18.6146 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0