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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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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: BARTBana_Translation_Finetune_v0 |
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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_Finetune_v0 |
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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: 2.4266 |
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- Sacrebleu: 2.9607 |
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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: 100 |
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- eval_batch_size: 100 |
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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: 10 |
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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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| 0.8315 | 1.0 | 429 | 0.6994 | 1.5712 | |
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| 0.7319 | 2.0 | 858 | 0.6374 | 2.6693 | |
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| 0.6676 | 3.0 | 1287 | 0.5882 | 4.0478 | |
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| 0.6199 | 4.0 | 1716 | 0.5549 | 4.4905 | |
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| 0.5912 | 5.0 | 2145 | 0.5353 | 5.0681 | |
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| 0.5583 | 6.0 | 2574 | 0.5219 | 5.7212 | |
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| 0.5488 | 7.0 | 3003 | 0.5117 | 6.1119 | |
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| 0.5294 | 8.0 | 3432 | 0.5052 | 5.9770 | |
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| 0.5227 | 9.0 | 3861 | 0.5020 | 6.2340 | |
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| 0.5113 | 10.0 | 4290 | 0.5011 | 6.2681 | |
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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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