Moroccan Darija models
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english-to-darija-2
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ar on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8514
- Bleu: 70.9947
- Gen Len: 9.092
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.6032 | 1.0 | 4651 | 1.4540 | 25.9364 | 8.9697 |
| 1.1191 | 2.0 | 9302 | 1.0805 | 48.0549 | 9.0661 |
| 0.8048 | 3.0 | 13953 | 0.9419 | 61.3646 | 9.1018 |
| 0.5978 | 4.0 | 18604 | 0.8939 | 65.6846 | 9.1161 |
| 0.477 | 5.0 | 23255 | 0.8623 | 68.0005 | 9.1049 |
| 0.4228 | 6.0 | 27906 | 0.8540 | 69.1959 | 9.1276 |
| 0.3534 | 7.0 | 32557 | 0.8479 | 69.944 | 9.0744 |
| 0.305 | 8.0 | 37208 | 0.8473 | 70.55 | 9.0987 |
| 0.2678 | 9.0 | 41859 | 0.8489 | 70.8065 | 9.1166 |
| 0.243 | 10.0 | 46510 | 0.8514 | 70.9947 | 9.092 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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Model tree for ychafiqui/english-to-darija-2
Base model
Helsinki-NLP/opus-mt-tc-big-en-ar