mbart-contratos-en-es
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9995
- Bleu: 23.0528
- Gen Len: 31.7222
Model description
Ejercicio de evaluaci贸n de la asignatura Traducci贸n Autom谩tica del M谩ster de Procesamiento del Lenguaje
Intended uses & limitations
Ejercicio de evaluaci贸n de la asignatura Traducci贸n Autom谩tica del M谩ster de Procesamiento del Lenguaje
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: 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 | 7 | 3.1586 | 18.5859 | 29.7222 |
| No log | 2.0 | 14 | 2.9995 | 23.0528 | 31.7222 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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Base model
facebook/mbart-large-50