marian_trained
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0096
- Bleu: 75.8199
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| No log | 1.0 | 219 | 0.0138 | 69.5877 |
| No log | 1.992 | 436 | 0.0096 | 75.8199 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.6.0
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
Helsinki-NLP/opus-mt-en-fr