opus-mt-en-bkm-10e64
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 1.4935
- Bleu: 7.795
- Gen Len: 60.8227
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 279 | 2.2834 | 1.3309 | 68.9546 |
| 3.1609 | 2.0 | 558 | 1.8907 | 4.0661 | 60.289 |
| 3.1609 | 3.0 | 837 | 1.7445 | 5.2814 | 59.5739 |
| 1.9255 | 4.0 | 1116 | 1.6564 | 6.0017 | 61.6317 |
| 1.9255 | 5.0 | 1395 | 1.5978 | 6.5742 | 60.6533 |
| 1.7347 | 6.0 | 1674 | 1.5572 | 7.0291 | 61.3661 |
| 1.7347 | 7.0 | 1953 | 1.5287 | 7.4536 | 60.8991 |
| 1.642 | 8.0 | 2232 | 1.5092 | 7.6945 | 60.6611 |
| 1.5888 | 9.0 | 2511 | 1.4971 | 7.7436 | 60.8317 |
| 1.5888 | 10.0 | 2790 | 1.4935 | 7.795 | 60.8227 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2