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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vietnamese-administrative-map-name-normalization-0.0.1
This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/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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