results
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ha on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6147
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7474 | 1.0 | 905 | 2.9363 |
| 2.2482 | 2.0 | 1810 | 2.6665 |
| 2.0734 | 3.0 | 2715 | 2.6147 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.0
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Base model
Helsinki-NLP/opus-mt-en-ha