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mt-no-sv-finetuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-no-sv on the None dataset. It achieves the following results on the Tatoeba.Nor.Swe evaluation set:
- Loss: 0.5130
- Bleu: 66.4015
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: 5e-06
- train_batch_size: 24
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.085 | 1.0 | 10268 | 0.5365 | 65.9489 |
| 1.0258 | 2.0 | 20536 | 0.5221 | 66.0704 |
| 0.9783 | 3.0 | 30804 | 0.5147 | 66.4690 |
| 0.9578 | 4.0 | 41072 | 0.5130 | 66.4015 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1
