opus-mt-en-mr-samanantar-finetuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4864
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch 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 |
|---|---|---|---|
| 0.5612 | 1.0 | 5625 | 0.5298 |
| 0.4273 | 2.0 | 11250 | 0.5045 |
| 0.4624 | 3.0 | 16875 | 0.4933 |
| 0.4637 | 4.0 | 22500 | 0.4877 |
| 0.3921 | 5.0 | 28125 | 0.4864 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0