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mbart_finetuned_dialect_translation_4
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0133
- Bleu: 99.3104
- Gen Len: 13.927
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0974 | 1.0 | 1250 | 0.0568 | 97.9989 | 13.9344 |
| 0.0393 | 2.0 | 2500 | 0.0253 | 98.7299 | 13.9272 |
| 0.0245 | 3.0 | 3750 | 0.0133 | 99.3104 | 13.927 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
