nllb-finetuned-ar-en
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: 0.6562
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5222 | 1.0 | 515 | 1.2649 |
| 1.2832 | 2.0 | 1030 | 1.1357 |
| 1.1181 | 3.0 | 1545 | 1.0412 |
| 1.0074 | 4.0 | 2060 | 0.9647 |
| 0.8996 | 5.0 | 2575 | 0.8987 |
| 0.8206 | 6.0 | 3090 | 0.8478 |
| 0.7525 | 7.0 | 3605 | 0.8047 |
| 0.6886 | 8.0 | 4120 | 0.7683 |
| 0.6443 | 9.0 | 4635 | 0.7336 |
| 0.5983 | 10.0 | 5150 | 0.7076 |
| 0.5675 | 11.0 | 5665 | 0.6910 |
| 0.5415 | 12.0 | 6180 | 0.6744 |
| 0.524 | 13.0 | 6695 | 0.6652 |
| 0.5028 | 14.0 | 7210 | 0.6578 |
| 0.5028 | 15.0 | 7725 | 0.6562 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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Base model
facebook/nllb-200-distilled-600M