my-sinhala-english-translator
This model is a fine-tuned version of thilina/mt5-sinhalese-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 3.4371
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 |
|---|---|---|---|---|
| 0.0 | 1.0 | 3973 | nan | 3.4371 |
| 0.0 | 2.0 | 7946 | nan | 3.4371 |
| 0.0 | 3.0 | 11919 | nan | 3.4371 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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thilina/mt5-sinhalese-english