nllb-lora-zh2Amis
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: 7.3342
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 |
|---|---|---|---|
| 7.5021 | 1.0 | 204 | 7.4400 |
| 7.45 | 2.0 | 408 | 7.4079 |
| 7.4259 | 3.0 | 612 | 7.3893 |
| 7.4028 | 4.0 | 816 | 7.3751 |
| 7.209 | 5.0 | 1020 | 7.3650 |
| 7.3885 | 6.0 | 1224 | 7.3601 |
| 7.3719 | 7.0 | 1428 | 7.3557 |
| 7.3561 | 8.0 | 1632 | 7.3498 |
| 7.3537 | 9.0 | 1836 | 7.3483 |
| 7.1674 | 10.0 | 2040 | 7.3444 |
| 7.3524 | 11.0 | 2244 | 7.3406 |
| 7.346 | 12.0 | 2448 | 7.3404 |
| 7.341 | 13.0 | 2652 | 7.3391 |
| 7.3439 | 14.0 | 2856 | 7.3368 |
| 7.1556 | 15.0 | 3060 | 7.3360 |
| 7.3315 | 16.0 | 3264 | 7.3355 |
| 7.3223 | 17.0 | 3468 | 7.3345 |
| 7.3127 | 18.0 | 3672 | 7.3339 |
| 7.3179 | 19.0 | 3876 | 7.3342 |
| 7.3164 | 19.9031 | 4060 | 7.3342 |
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