sunbird-medical-luganda-bidirectional-v3-kaggle
This model is a fine-tuned version of Sunbird/translate-nllb-1.3b-salt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1054
- Bleu: 21.1119
- Chrf: 40.1257
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf |
|---|---|---|---|---|---|
| 0.7411 | 3.5110 | 400 | 1.4134 | 20.4264 | 41.7565 |
| 0.3377 | 7.0176 | 800 | 1.1662 | 18.2353 | 35.6653 |
| 0.2665 | 10.5286 | 1200 | 1.1054 | 21.1119 | 40.1257 |
Framework versions
- PEFT 0.16.0
- Transformers 4.57.3
- Pytorch 2.9.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
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