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--- |
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base_model: vinai/bartpho-syllable |
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tags: |
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- text2text-generation |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: nlp_vietnamese_spelling |
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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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# nlp_vietnamese_spelling |
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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: 0.1084 |
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- Sacrebleu: 19.1727 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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: 3 |
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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 | Sacrebleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:| |
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| 1.0565 | 0.25 | 1000 | 0.4944 | 13.1438 | |
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| 0.5878 | 0.5 | 2000 | 0.2775 | 16.2433 | |
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| 0.4367 | 0.75 | 3000 | 0.2222 | 17.0610 | |
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| 0.3627 | 1.0 | 4000 | 0.1793 | 17.9412 | |
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| 0.2672 | 1.25 | 5000 | 0.1533 | 18.3610 | |
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| 0.2305 | 1.5 | 6000 | 0.1429 | 18.4508 | |
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| 0.2164 | 1.75 | 7000 | 0.1296 | 18.8490 | |
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| 0.1948 | 2.01 | 8000 | 0.1205 | 19.0083 | |
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| 0.1537 | 2.26 | 9000 | 0.1167 | 19.0106 | |
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| 0.1491 | 2.51 | 10000 | 0.1131 | 19.0764 | |
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| 0.1414 | 2.76 | 11000 | 0.1084 | 19.1727 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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