mt-en-et-general
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3172
- Bleu: 26.2681
- Gen Len: 24.626
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: 128
- eval_batch_size: 128
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.4413 | 1.0 | 3236 | 0.3460 | 24.6904 | 24.7215 |
| 0.3559 | 2.0 | 6472 | 0.3294 | 25.1249 | 24.573 |
| 0.3342 | 3.0 | 9708 | 0.3219 | 25.9375 | 24.599 |
| 0.3223 | 4.0 | 12944 | 0.3184 | 26.0347 | 24.629 |
| 0.316 | 5.0 | 16180 | 0.3172 | 26.2681 | 24.626 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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