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opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ar on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0027
- Bleu: 9.3993
- Gen Len: 14.8889
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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 21 | 8.1233 | 0.0 | 217.5833 |
| No log | 2.0 | 42 | 7.3522 | 0.1587 | 139.6111 |
| No log | 3.0 | 63 | 6.7128 | 0.2113 | 63.9722 |
| No log | 4.0 | 84 | 6.2283 | 0.2611 | 25.7222 |
| No log | 5.0 | 105 | 5.7868 | 0.2545 | 27.3333 |
| No log | 6.0 | 126 | 5.4596 | 0.4153 | 25.75 |
| No log | 7.0 | 147 | 5.1424 | 0.8436 | 12.6944 |
| No log | 8.0 | 168 | 4.8195 | 0.8365 | 13.3889 |
| No log | 9.0 | 189 | 4.6181 | 1.2564 | 12.3889 |
| No log | 10.0 | 210 | 4.3480 | 1.7124 | 12.9722 |
| No log | 11.0 | 231 | 4.1206 | 3.2404 | 13.4167 |
| No log | 12.0 | 252 | 3.8982 | 2.4371 | 14.4167 |
| No log | 13.0 | 273 | 3.7679 | 3.9697 | 14.2778 |
| No log | 14.0 | 294 | 3.6359 | 4.7946 | 13.8889 |
| No log | 15.0 | 315 | 3.4940 | 5.9909 | 14.75 |
| No log | 16.0 | 336 | 3.3826 | 8.193 | 14.5278 |
| No log | 17.0 | 357 | 3.3084 | 7.5299 | 14.3056 |
| No log | 18.0 | 378 | 3.2302 | 8.5741 | 14.5833 |
| No log | 19.0 | 399 | 3.1751 | 5.9148 | 14.8611 |
| No log | 20.0 | 420 | 3.1242 | 10.389 | 14.3889 |
| No log | 21.0 | 441 | 3.0618 | 10.5285 | 14.6944 |
| No log | 22.0 | 462 | 3.0439 | 11.3953 | 14.6667 |
| No log | 23.0 | 483 | 3.0161 | 10.9885 | 14.8889 |
| 4.3311 | 24.0 | 504 | 3.0184 | 9.6143 | 14.7778 |
| 4.3311 | 25.0 | 525 | 3.0027 | 9.3993 | 14.8889 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
