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End of training
917a964
metadata
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
  - generated_from_trainer
datasets:
  - nusatranslation_mt
metrics:
  - sacrebleu
model-index:
  - name: indonesian_to_bataknese_translation_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: nusatranslation_mt
          type: nusatranslation_mt
          config: nusatranslation_mt_btk_ind_source
          split: test
          args: nusatranslation_mt_btk_ind_source
        metrics:
          - name: Sacrebleu
            type: sacrebleu
            value: 31.4299

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