mbart-traduccion
This model is a fine-tuned version of facebook/mbart-large-50 on Iker/InstructTranslation-EN-ES-Raw. It achieves the following results on the evaluation set:
- Loss: 0.5543
- Bleu: 64.2175
- Gen Len: 82.8185
Model description
More information needed
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 | 146 | 0.6936 | 62.2127 | 79.6096 |
| No log | 2.0 | 292 | 0.5543 | 64.2175 | 82.8185 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
facebook/mbart-large-50