opus-mt-en-fr-finetuned-en-to-fr_sacreBLEU
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5067
- Bleu: 29.1984
- Gen Len: 33.2819
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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.6809 | 1.0 | 5791 | 1.5771 | 27.976 | 33.3487 |
| 1.535 | 2.0 | 11582 | 1.5210 | 28.8845 | 33.3355 |
| 1.4496 | 3.0 | 17373 | 1.5067 | 29.1984 | 33.2819 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Model tree for apersaud/opus-mt-en-fr-finetuned-en-to-fr_sacreBLEU
Base model
Helsinki-NLP/opus-mt-en-fr