indonesian_to_bataknese_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: 1.1479
- Sacrebleu: 31.4299
- Gen Len: 45.1465
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: 8
- 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 |
---|---|---|---|---|---|
1.6013 | 1.0 | 1650 | 1.3829 | 29.312 | 45.592 |
1.2324 | 2.0 | 3300 | 1.2091 | 30.6403 | 45.6005 |
1.0217 | 3.0 | 4950 | 1.1552 | 31.428 | 45.0845 |
0.8984 | 4.0 | 6600 | 1.1470 | 31.4125 | 45.365 |
0.8012 | 5.0 | 8250 | 1.1479 | 31.4299 | 45.1465 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.13.1
- Tokenizers 0.14.1
- Downloads last month
- 7
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for kepinsam/ind-to-bbc-nmt-v1
Base model
facebook/nllb-200-distilled-600MEvaluation results
- Sacrebleu on nusatranslation_mttest set self-reported31.430