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En-Ts_update
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1258
- Bleu: 40.9729
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: 9
Training results
| Epoch | Training Loss | Validation Loss | Bleu |
|---|---|---|---|
| 1 | 1.650900 | 1.676816 | 31.785027 |
| 2 | 1.365800 | 1.478832 | 35.611479 |
| 3 | 1.205400 | 1.376320 | 38.719939 |
| 4 | 1.022600 | 1.196519 | 38.896970 |
| 5 | 0.972500 | 1.172068 | 39.887214 |
| 6 | 0.917900 | 1.150850 | 40.174857 |
| 7 | 0.896800 | 1.136892 | 40.381562 |
| 8 | 0.857000 | 1.130176 | 40.850785 |
| 9 | 0.831100 | 1.12578 | 40.972992 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
