opus-mt-ar-en-finetuned_augmented_synthetic_1-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: 0.6310
- Bleu: 66.0531
- Gen Len: 62.7622
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 |
|---|---|---|---|---|---|
| 0.9624 | 1.0 | 1043 | 0.7904 | 57.9585 | 65.1449 |
| 0.7619 | 2.0 | 2086 | 0.7172 | 61.4081 | 64.038 |
| 0.674 | 3.0 | 3129 | 0.6844 | 63.0849 | 63.1159 |
| 0.6086 | 4.0 | 4172 | 0.6626 | 64.6547 | 62.3736 |
| 0.5705 | 5.0 | 5215 | 0.6523 | 65.1199 | 62.7662 |
| 0.5317 | 6.0 | 6258 | 0.6415 | 65.6392 | 62.7802 |
| 0.4943 | 7.0 | 7301 | 0.6367 | 65.4163 | 62.5654 |
| 0.4828 | 8.0 | 8344 | 0.6340 | 65.4508 | 62.3506 |
| 0.4579 | 9.0 | 9387 | 0.6317 | 65.8711 | 62.6513 |
| 0.4577 | 10.0 | 10430 | 0.6310 | 66.0531 | 62.7622 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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