ind-to-bbc-nmt-v4
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the nusatranslation_mt dataset. It achieves the following results on the evaluation set:
- Loss: 1.2930
- Sacrebleu: 30.3825
- Gen Len: 45.3035
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
|---|---|---|---|---|---|
| 5.3256 | 1.0 | 207 | 2.9469 | 25.3735 | 44.648 |
| 2.2418 | 2.0 | 414 | 1.5816 | 28.6826 | 45.3055 |
| 1.4644 | 3.0 | 621 | 1.3598 | 30.2304 | 45.373 |
| 1.2707 | 4.0 | 828 | 1.3034 | 30.4544 | 45.2655 |
| 1.2046 | 5.0 | 1035 | 1.2930 | 30.3825 | 45.3035 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1
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Base model
facebook/nllb-200-distilled-600MEvaluation results
- Sacrebleu on nusatranslation_mttest set self-reported30.383