nllb-200-distilled-600M-en2hi
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: 0.4607
- Bleu: 32.87
- Chrf: 55.18
- Wer: 76.9324
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Wer |
---|---|---|---|---|---|---|
2.5437 | 0.2 | 1000 | 2.3910 | 30.9 | 53.24 | 78.9661 |
0.1806 | 0.4 | 2000 | 0.4908 | 29.37 | 51.74 | 79.6658 |
0.1593 | 0.6 | 3000 | 0.4685 | 32.14 | 54.66 | 77.4741 |
0.1711 | 0.8 | 4000 | 0.4641 | 33.04 | 55.4 | 76.9980 |
0.0829 | 1.0 | 5000 | 0.4607 | 32.87 | 55.18 | 76.9324 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0
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Base model
facebook/nllb-200-distilled-600M