mbart-large-50-GEC-spanish-cowsl2h
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: 0.2795
- Gleu: 0.5138
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: 9.175332375538101e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 0.05586177114362126
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Gleu |
|---|---|---|---|---|
| No log | 1.0 | 97 | 0.0757 | 0.5037 |
| 47.5108 | 2.0 | 194 | 0.0594 | 0.5868 |
| 0.8048 | 3.0 | 291 | 0.0656 | 0.6126 |
| 0.3084 | 4.0 | 388 | 0.2795 | 0.5138 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2