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vietnamese-administrative-map-name-normalization-0.0.1

This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0109
  • Model Preparation Time: 0.006
  • Sacrebleu: 98.1696
  • Cer: 0.0026
  • Wer: 0.0085

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: 3e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 1024
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Model Preparation Time Sacrebleu Cer Wer
0.2144 2.0877 500 0.0313 0.006 95.4947 0.0075 0.0250
0.0539 4.1754 1000 0.0130 0.006 98.1454 0.0032 0.0101

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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