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--- |
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library_name: transformers |
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license: mit |
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base_model: vinai/bartpho-syllable |
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tags: |
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- vietnamese-administrative-map-name-normalization-0-0-1 |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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- wer |
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model-index: |
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- name: vietnamese-administrative-map-name-normalization-0.0.1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# vietnamese-administrative-map-name-normalization-0.0.1 |
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This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0109 |
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- Model Preparation Time: 0.006 |
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- Sacrebleu: 98.1696 |
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- Cer: 0.0026 |
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- Wer: 0.0085 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Sacrebleu | Cer | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------:|:------:|:------:| |
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| 0.2144 | 2.0877 | 500 | 0.0313 | 0.006 | 95.4947 | 0.0075 | 0.0250 | |
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| 0.0539 | 4.1754 | 1000 | 0.0130 | 0.006 | 98.1454 | 0.0032 | 0.0101 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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