opus-mt-fr-yat
This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.7630
- Bert score: 0.6005
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: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bert score |
|---|---|---|---|---|
| No log | 1.0 | 62 | 7.7730 | 0.5980 |
| No log | 2.0 | 124 | 6.9707 | 0.5976 |
| No log | 3.0 | 186 | 6.7630 | 0.6005 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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