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opus-mt-tr-en-finetuned-en-to-tr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tr-en on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.9429
- Bleu: 6.471
- Gen Len: 56.1688
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.5266 | 1.0 | 12860 | 2.2526 | 4.5834 | 55.6563 |
| 1.2588 | 2.0 | 25720 | 2.0113 | 5.9203 | 56.3506 |
| 1.1878 | 3.0 | 38580 | 1.9429 | 6.471 | 56.1688 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
