mbart-neutralization
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: 0.0113
- Bleu: 98.4772
- Gen Len: 18.5104
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: 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 |
440 |
0.0239 |
97.9539 |
18.5938 |
| 0.2284 |
2.0 |
880 |
0.0113 |
98.4772 |
18.5104 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
