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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bartpho-finetuned-qa |
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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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# bartpho-finetuned-qa |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0573 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.1591 | 0.4032 | 100 | 0.0943 | |
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| 0.1181 | 0.8065 | 200 | 0.0841 | |
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| 0.0846 | 1.2097 | 300 | 0.0676 | |
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| 0.0641 | 1.6129 | 400 | 0.0597 | |
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| 0.0512 | 2.0161 | 500 | 0.0573 | |
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| 0.0354 | 2.4194 | 600 | 0.0617 | |
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| 0.0327 | 2.8226 | 700 | 0.0573 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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