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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: vietnamese-correction-203 |
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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-correction-203 |
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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: 0.1838 |
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- Sacrebleu: 27.6927 |
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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: 0.0001 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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 | Sacrebleu | |
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|:-------------:|:------:|:-----:|:---------------:|:---------:| |
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| 0.3565 | 0.7529 | 2000 | 0.1943 | 26.5749 | |
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| 0.1717 | 1.5059 | 4000 | 0.1713 | 27.1811 | |
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| 0.116 | 2.2588 | 6000 | 0.1705 | 27.3551 | |
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| 0.076 | 3.0118 | 8000 | 0.1582 | 27.5668 | |
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| 0.0418 | 3.7647 | 10000 | 0.1674 | 27.5994 | |
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| 0.0278 | 4.5176 | 12000 | 0.1839 | 27.6218 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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