opus-mt-en-bkm-Final-60
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: 1.5584
- Bleu: 9.354
- Gen Len: 40.6029
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 |
|---|---|---|---|---|---|
| 3.4876 | 1.0 | 601 | 2.2031 | 2.3601 | 50.4173 |
| 2.2475 | 2.0 | 1202 | 1.9329 | 4.8587 | 40.8697 |
| 2.0162 | 3.0 | 1803 | 1.7959 | 5.9413 | 39.0495 |
| 1.8926 | 4.0 | 2404 | 1.7144 | 6.9033 | 40.8797 |
| 1.71 | 5.0 | 3005 | 1.6537 | 7.7651 | 40.4224 |
| 1.6501 | 6.0 | 3606 | 1.6161 | 8.441 | 41.3464 |
| 1.6053 | 7.0 | 4207 | 1.5869 | 8.812 | 40.534 |
| 1.554 | 8.0 | 4808 | 1.5725 | 9.2092 | 40.4813 |
| 1.5409 | 9.0 | 5409 | 1.5608 | 9.3966 | 40.9083 |
| 1.5049 | 10.0 | 6010 | 1.5584 | 9.354 | 40.6029 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Helsinki-NLP/opus-mt-en-ro