bbc-to-ind-nmt-v3
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: 1.1424
- Sacrebleu: 37.0979
- Gen Len: 37.248
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: 16
- 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 |
|---|---|---|---|---|---|
| 4.2762 | 1.0 | 413 | 1.5344 | 30.2931 | 37.92 |
| 1.3119 | 2.0 | 826 | 1.1962 | 35.3764 | 37.3035 |
| 1.0696 | 3.0 | 1239 | 1.1529 | 36.5225 | 37.204 |
| 0.9763 | 4.0 | 1652 | 1.1420 | 36.8954 | 37.0565 |
| 0.9298 | 5.0 | 2065 | 1.1424 | 37.0979 | 37.248 |
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-reported37.098