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opus-mt-ar-en-finetuned_augmented_MTback-ar-to-en
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: 0.8227
- Bleu: 66.3415
- Gen Len: 59.569
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.3965 | 1.0 | 1098 | 1.1276 | 52.6355 | 62.191 |
| 2.0086 | 2.0 | 2196 | 0.9785 | 58.7217 | 61.399 |
| 1.7825 | 3.0 | 3294 | 0.9172 | 61.1046 | 61.316 |
| 1.6434 | 4.0 | 4392 | 0.8788 | 63.501 | 60.232 |
| 1.5295 | 5.0 | 5490 | 0.8571 | 64.7425 | 59.709 |
| 1.4316 | 6.0 | 6588 | 0.8419 | 65.7013 | 59.381 |
| 1.3766 | 7.0 | 7686 | 0.8315 | 65.9805 | 59.585 |
| 1.3241 | 8.0 | 8784 | 0.8254 | 66.2432 | 59.516 |
| 1.2965 | 9.0 | 9882 | 0.8238 | 66.2241 | 59.604 |
| 1.2877 | 10.0 | 10980 | 0.8227 | 66.3415 | 59.569 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
