nllb-200-600M-dzo-eng-30k
This model is a fine-tuned version of kinleyrabgay/nllb-200-600M-dzo-eng on kinleyrabgay/dz_to_en dataset. It achieves the following results on the evaluation set:
- Loss: 0.0678
- Bleu: 63.0623
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.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 | Bleu |
|---|---|---|---|---|
| 0.0688 | 1.0 | 2500 | 0.0644 | 62.0343 |
| 0.0543 | 2.0 | 5000 | 0.0634 | 62.8454 |
| 0.0444 | 3.0 | 7500 | 0.0643 | 63.3940 |
| 0.0377 | 4.0 | 10000 | 0.0658 | 63.4416 |
| 0.0315 | 5.0 | 12500 | 0.0678 | 63.0623 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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