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mt-sq-sv-finetuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-sq-sv on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2250
- Bleu: 47.0111
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: 5e-06
- train_batch_size: 24
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| 1.7042 | 1.0 | 4219 | 1.4806 | 41.9650 |
| 1.5537 | 2.0 | 8438 | 1.3955 | 43.1524 |
| 1.4352 | 3.0 | 12657 | 1.3142 | 44.4373 |
| 1.3346 | 4.0 | 16876 | 1.2793 | 45.2265 |
| 1.2847 | 5.0 | 21095 | 1.2597 | 45.8071 |
| 1.2821 | 6.0 | 25314 | 1.2454 | 46.3737 |
| 1.2342 | 7.0 | 29533 | 1.2363 | 46.6308 |
| 1.2092 | 8.0 | 33752 | 1.2301 | 46.8227 |
| 1.1766 | 9.0 | 37971 | 1.2260 | 46.9719 |
| 1.1836 | 10.0 | 42190 | 1.2250 | 47.0111 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1
