En-Tn_update
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-tn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.13002
- Bleu: 39.1470
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Epoch | Training Loss | Validation Loss | Bleu |
|---|---|---|---|
| 1 | 1.929300 | 1.884056 | 29.762382 |
| 2 | 1.637300 | 1.605588 | 32.846868 |
| 3 | 1.500000 | 1.457442 | 34.307484 |
| 4 | 1.402400 | 1.356578 | 35.423774 |
| 5 | 1.324000 | 1.276492 | 36.553368 |
| 6 | 1.251300 | 1.221768 | 37.464270 |
| 7 | 1.224700 | 1.181320 | 38.157490 |
| 8 | 1.193200 | 1.152997 | 38.800566 |
| 9 | 1.166700 | 1.136147 | 38.985707 |
| 10 | 1.142500 | 1.130020 | 39.209327 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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