finetuned_nllb_2
This model is a fine-tuned version of phucthaiv02/finetuned_nllb_2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1710
- Bleu: 21.9912
- Chrf: 43.6751
- Ter: 59.4595
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Ter |
|---|---|---|---|---|---|---|
| 0.1898 | 1.0 | 7893 | 0.1710 | 21.9912 | 43.6751 | 59.4595 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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