bbc-to-ind-nmt-v2
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: 1.1318
- Sacrebleu: 37.7411
- Gen Len: 37.2965
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: 8
- 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 |
|---|---|---|---|---|---|
| 3.3872 | 1.0 | 825 | 1.2738 | 33.3267 | 37.8435 |
| 1.1626 | 2.0 | 1650 | 1.1593 | 36.2145 | 37.436 |
| 0.9846 | 3.0 | 2475 | 1.1289 | 37.2589 | 37.0315 |
| 0.8883 | 4.0 | 3300 | 1.1254 | 37.8219 | 37.216 |
| 0.832 | 5.0 | 4125 | 1.1318 | 37.7411 | 37.2965 |
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-reported37.741