ind-to-bbc-nmt-v8 / README.md
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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: ind-to-bbc-nmt-v8
    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: 31.404

ind-to-bbc-nmt-v8

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: 1.1714
  • Sacrebleu: 31.404
  • Gen Len: 45.259

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: 32
  • 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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Sacrebleu Gen Len
5.9718 1.0 207 3.5105 24.1454 44.5145
2.5392 2.0 414 1.6246 28.1486 45.45
1.46 3.0 621 1.3187 30.5425 45.375
1.2013 4.0 828 1.2437 31.2443 45.2075
1.0869 5.0 1035 1.2084 31.0749 45.3445
1.0083 6.0 1242 1.1851 31.167 45.35
0.9563 7.0 1449 1.1811 31.2377 45.344
0.9149 8.0 1656 1.1719 31.2539 45.343
0.8881 9.0 1863 1.1738 31.5399 45.145
0.872 10.0 2070 1.1714 31.404 45.259

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.14.6
  • Tokenizers 0.19.1