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opus-mt-ar-en-finetuned_augmented_synthetic-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: 0.8682
- Bleu: 63.4498
- Gen Len: 59.457
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 |
|---|---|---|---|---|---|
| 0.9549 | 1.0 | 1105 | 1.2644 | 43.0637 | 61.33 |
| 0.7674 | 2.0 | 2210 | 1.0862 | 51.6055 | 60.714 |
| 0.6736 | 3.0 | 3315 | 0.9910 | 56.1642 | 60.434 |
| 0.6011 | 4.0 | 4420 | 0.9463 | 59.6059 | 59.682 |
| 0.5543 | 5.0 | 5525 | 0.9158 | 61.101 | 59.493 |
| 0.5176 | 6.0 | 6630 | 0.8961 | 61.9065 | 59.468 |
| 0.4849 | 7.0 | 7735 | 0.8840 | 62.6833 | 59.5 |
| 0.4692 | 8.0 | 8840 | 0.8727 | 63.0766 | 59.425 |
| 0.464 | 9.0 | 9945 | 0.8709 | 63.3354 | 59.454 |
| 0.4486 | 10.0 | 11050 | 0.8682 | 63.4498 | 59.457 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
