En-Nso_update3
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-nso on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4218
- Bleu: 24.5765
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 3.6568 | 1.0 | 867 | 3.0185 | 18.4004 |
| 2.7574 | 2.0 | 1734 | 2.7774 | 20.3167 |
| 2.4522 | 3.0 | 2601 | 2.6436 | 22.1868 |
| 2.3298 | 4.0 | 3468 | 2.5732 | 22.6221 |
| 2.1563 | 5.0 | 4335 | 2.5225 | 22.6937 |
| 2.0177 | 6.0 | 5202 | 2.4917 | 23.2204 |
| 1.9407 | 7.0 | 6069 | 2.4656 | 23.3616 |
| 1.8758 | 8.0 | 6936 | 2.4509 | 23.5496 |
| 1.8167 | 9.0 | 7803 | 2.4426 | 23.6263 |
| 1.7566 | 10.0 | 8670 | 2.4345 | 24.0730 |
| 1.7254 | 11.0 | 9537 | 2.4281 | 24.1627 |
| 1.7088 | 12.0 | 10404 | 2.4252 | 24.1109 |
| 1.6731 | 13.0 | 11271 | 2.4226 | 24.1018 |
| 1.6574 | 14.0 | 12138 | 2.4211 | 23.9186 |
| 1.6481 | 15.0 | 13005 | 2.4218 | 24.1323 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1