OpusMT_Bahnaric
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0433
- Sacrebleu: 0.5498
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: 64
- eval_batch_size: 64
- 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 | Sacrebleu |
|---|---|---|---|---|
| 0.7246 | 1.0 | 812 | 1.0812 | 0.3490 |
| 0.6607 | 2.0 | 1624 | 1.0433 | 0.5498 |
| 0.64 | 3.0 | 2436 | 1.0316 | 0.5357 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Model tree for FiveC/OpusMT_Bahnaric
Base model
Helsinki-NLP/opus-mt-en-vi