nllb-dry-run
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5119
- Bleu: 3.4640
- Chrf: 18.8077
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: 8e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf |
|---|---|---|---|---|---|
| No log | 0.3125 | 10 | 3.4697 | 2.3857 | 15.3837 |
| No log | 0.625 | 20 | 3.3382 | 3.7821 | 19.2101 |
| No log | 0.9375 | 30 | 3.3116 | 5.8430 | 18.9142 |
| No log | 1.25 | 40 | 3.2531 | 3.6516 | 19.1025 |
| No log | 1.5625 | 50 | 3.5119 | 3.4640 | 18.8077 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.8.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
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facebook/nllb-200-distilled-600M