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--- |
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base_model: vinai/bartpho-syllable |
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library_name: transformers |
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license: mit |
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metrics: |
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- sacrebleu |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BARTBana_Translation_v00 |
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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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# BARTBana_Translation_v00 |
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This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6020 |
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- Sacrebleu: 7.9509 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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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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| 1.2433 | 1.0 | 742 | 0.8630 | 0.8963 | |
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| 1.0005 | 2.0 | 1484 | 0.8077 | 1.7612 | |
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| 0.9144 | 3.0 | 2226 | 0.7620 | 2.8192 | |
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| 0.8945 | 4.0 | 2968 | 0.7246 | 3.6968 | |
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| 0.8435 | 5.0 | 3710 | 0.6943 | 4.8346 | |
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| 0.8251 | 6.0 | 4452 | 0.6687 | 5.5850 | |
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| 0.7872 | 7.0 | 5194 | 0.6513 | 6.1145 | |
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| 0.7674 | 8.0 | 5936 | 0.6385 | 6.5998 | |
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| 0.76 | 9.0 | 6678 | 0.6263 | 7.0741 | |
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| 0.7407 | 10.0 | 7420 | 0.6198 | 7.3214 | |
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| 0.7301 | 11.0 | 8162 | 0.6100 | 7.5060 | |
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| 0.7294 | 12.0 | 8904 | 0.6077 | 7.6978 | |
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| 0.7174 | 13.0 | 9646 | 0.6032 | 7.8715 | |
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| 0.7131 | 14.0 | 10388 | 0.6020 | 7.9509 | |
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| 0.7028 | 15.0 | 11130 | 0.6015 | 7.9382 | |
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### Framework versions |
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- Transformers 4.48.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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