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batak_toba_translation_model
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: 1.1374
- Sacrebleu: 38.2568
- Gen Len: 37.038
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: 4
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
|---|---|---|---|---|---|
| 1.3614 | 1.0 | 1650 | 1.2446 | 34.5237 | 37.422 |
| 1.084 | 2.0 | 3300 | 1.1432 | 36.815 | 36.943 |
| 0.9262 | 3.0 | 4950 | 1.1174 | 37.8117 | 37.5185 |
| 0.8112 | 4.0 | 6600 | 1.1249 | 38.2017 | 37.1395 |
| 0.7194 | 5.0 | 8250 | 1.1374 | 38.2568 | 37.038 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.14.1
