nllb-lora-zh2Paiwan
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.3264
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.4959 | 1.0 | 201 | 7.4363 |
| 7.4622 | 2.0 | 402 | 7.4087 |
| 7.4338 | 3.0 | 603 | 7.3922 |
| 7.4289 | 4.0 | 804 | 7.3816 |
| 7.3944 | 5.0 | 1005 | 7.3703 |
| 7.3907 | 6.0 | 1206 | 7.3608 |
| 7.3872 | 7.0 | 1407 | 7.3555 |
| 7.3554 | 8.0 | 1608 | 7.3516 |
| 7.3666 | 9.0 | 1809 | 7.3456 |
| 7.3666 | 10.0 | 2010 | 7.3418 |
| 7.3431 | 11.0 | 2211 | 7.3382 |
| 7.353 | 12.0 | 2412 | 7.3357 |
| 7.3402 | 13.0 | 2613 | 7.3332 |
| 7.3323 | 14.0 | 2814 | 7.3315 |
| 7.3432 | 15.0 | 3015 | 7.3294 |
| 7.3315 | 16.0 | 3216 | 7.3274 |
| 7.3263 | 17.0 | 3417 | 7.3277 |
| 7.3086 | 18.0 | 3618 | 7.3268 |
| 7.3039 | 19.0 | 3819 | 7.3268 |
| 7.2977 | 20.0 | 4020 | 7.3264 |
Framework versions
- PEFT 0.15.0
- Transformers 4.51.2
- Pytorch 2.2.2+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1
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Base model
facebook/nllb-200-distilled-600M