north-translation / README.md
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Thirawarit/nllb-200-600M-for-north-translation
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metadata
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
  - generated_from_trainer
model-index:
  - name: north-translation
    results: []

north-translation

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1809

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: 8
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss
6.6535 0.3333 50 6.5107
4.8917 0.6667 100 4.6859
3.3227 1.0 150 3.1355
1.89 1.3333 200 1.7087
0.8322 1.6667 250 0.6969
0.3733 2.0 300 0.3310
0.2401 2.3333 350 0.2457
0.2166 2.6667 400 0.2203
0.2199 3.0 450 0.2098
0.1924 3.3333 500 0.2011
0.2007 3.6667 550 0.1967
0.1901 4.0 600 0.1922
0.1753 4.3333 650 0.1905
0.1523 4.6667 700 0.1882
0.1863 5.0 750 0.1842
0.1432 5.3333 800 0.1851
0.1525 5.6667 850 0.1833
0.1377 6.0 900 0.1812
0.1319 6.3333 950 0.1823
0.1608 6.6667 1000 0.1821
0.1535 7.0 1050 0.1807
0.14 7.3333 1100 0.1811
0.1347 7.6667 1150 0.1812
0.1484 8.0 1200 0.1809

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1