darija_englishV2.1
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3635
- Bleu: 32.8666
- Gen Len: 11.7901
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.641 | 1.0 | 1594 | 1.4631 | 29.3791 | 11.6872 |
| 1.2871 | 2.0 | 3188 | 1.3761 | 30.8465 | 12.0999 |
| 1.1067 | 3.0 | 4782 | 1.3503 | 32.7058 | 11.6206 |
| 0.9456 | 4.0 | 6376 | 1.3462 | 32.5581 | 11.8712 |
| 0.8611 | 5.0 | 7970 | 1.3497 | 33.0669 | 11.7258 |
| 0.7806 | 6.0 | 9564 | 1.3601 | 33.2093 | 11.7203 |
| 0.7293 | 7.0 | 11158 | 1.3635 | 32.8666 | 11.7901 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
Helsinki-NLP/opus-mt-ar-en