nllb-bt-sample-0
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: 3.4309
- Bleu: 0.9880
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu |
---|---|---|---|---|
4.5077 | 2.5 | 500 | 3.7658 | 0.6291 |
3.5229 | 5.0 | 1000 | 3.4309 | 1.0214 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.13.3
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