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--- |
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base_model: vinai/bartpho-word-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bartpho-word-base-ed-with-tpl-ed-tpl-v3 |
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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-word-base-ed-with-tpl-ed-tpl-v3 |
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This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0267 |
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- F1 Micro: 0.8050 |
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- Recall Micro: 0.8024 |
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- Precision Micro: 0.8075 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:| |
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| No log | 0.9987 | 393 | 0.0270 | 0.7861 | 0.7727 | 0.8000 | |
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| 0.0654 | 2.0 | 787 | 0.0262 | 0.7755 | 0.7798 | 0.7713 | |
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| 0.0247 | 2.9987 | 1180 | 0.0246 | 0.7892 | 0.7816 | 0.7969 | |
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| 0.0197 | 4.0 | 1574 | 0.0233 | 0.8078 | 0.7949 | 0.8210 | |
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| 0.0197 | 4.9987 | 1967 | 0.0235 | 0.8064 | 0.8018 | 0.8110 | |
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| 0.016 | 6.0 | 2361 | 0.0262 | 0.8027 | 0.7951 | 0.8104 | |
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| 0.0123 | 6.9987 | 2754 | 0.0261 | 0.8080 | 0.8067 | 0.8093 | |
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| 0.0102 | 7.9898 | 3144 | 0.0267 | 0.8050 | 0.8024 | 0.8075 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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