nllb-fr-dje
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: 1.2285
- Bleu: 29.6795
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 2.8423 | 1.0 | 508 | 1.8073 | 20.0301 |
| 1.7444 | 2.0 | 1017 | 1.4882 | 25.3031 |
| 1.4902 | 3.0 | 1526 | 1.3685 | 27.3325 |
| 1.3532 | 4.0 | 2035 | 1.3004 | 28.0924 |
| 1.2749 | 5.0 | 2544 | 1.2632 | 29.0171 |
| 1.2153 | 6.0 | 3053 | 1.2432 | 29.3495 |
| 1.1793 | 7.0 | 3562 | 1.2323 | 29.5367 |
| 1.1548 | 7.99 | 4064 | 1.2285 | 29.6795 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Base model
facebook/nllb-200-distilled-600M