README.md

metadata

library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
  - vietnamese-administrative-map-name-normalization-0-0-1
  - generated_from_trainer
metrics:
  - sacrebleu
  - wer
model-index:
  - name: vietnamese-administrative-map-name-normalization-0.0.1
    results: []

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