nlbb
This model is a fine-tuned version of Emilio407/nllb-200-1.3B-8bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5492
- Bleu: 5.8345
- Gen Len: 21.9
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: 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
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 13 | 2.5362 | 6.5545 | 20.0 |
| No log | 2.0 | 26 | 2.5492 | 5.8345 | 21.9 |
Framework versions
- PEFT 0.20.0
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
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