igorktech / nllb-200-tiny-tuned

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Model's Last Updated: July 13 2024

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Model Details of nllb-200-tiny-tuned

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nllb-200-tiny-tuned

This model is a fine-tuned version of igorktech/nllb-pruned-6L-512d-finetuned-v1 on the your_dataset_name dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0980
  • Bleu: 52.9983
  • Chrf++: 73.2746
Model description

More information needed

Intended uses & limitations

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Training and evaluation data

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Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2.0
Training results
Training Loss Epoch Step Validation Loss Bleu Chrf++
0.2285 0.6563 5000 0.1744 37.0851 62.3627
0.1872 1.3125 10000 0.1214 47.5689 69.8186
0.1089 1.9688 15000 0.0980 52.9983 73.2746
Framework versions
  • Transformers 4.42.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

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