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darija_english
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: 1.5777
- Bleu: 24.9814
- Gen Len: 11.3014
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.2981 | 1.0 | 732 | 1.7868 | 20.7438 | 11.2303 |
| 1.7492 | 2.0 | 1464 | 1.6416 | 23.7724 | 11.0499 |
| 1.2607 | 3.0 | 2196 | 1.5965 | 25.4556 | 10.9768 |
| 1.1246 | 4.0 | 2928 | 1.5797 | 24.9643 | 11.2509 |
| 0.9848 | 5.0 | 3660 | 1.5777 | 24.9814 | 11.3014 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
