mbart-neutralization
This model is a fine-tuned version of facebook/mbart-large-50 on on the following dataset: hackathon-pln-es/neutral-es. It achieves the following results on the evaluation set:
- Loss: 0.0181
- Bleu: 98.7341
- Gen Len: 18.4896
Model description
Used and trained as part of the Master's Degree in NLP of Universidad de la Rioja 2023-2024
Intended uses & limitations
More information needed
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 440 | 0.0307 | 91.2911 | 18.25 |
| 0.2343 | 2.0 | 880 | 0.0181 | 98.7341 | 18.4896 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for Tinaenhugging/mbart-neutralization
Base model
facebook/mbart-large-50