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End of training
Browse files- README.md +24 -24
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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### Framework versions
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5866
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- Accuracy: 0.702
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- F1: 0.7023
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## Model description
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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: 32
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- eval_batch_size: 32
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.9822 | 1.0 | 104 | 0.7872 | 0.638 | 0.6374 |
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| 0.8237 | 2.0 | 208 | 0.7235 | 0.656 | 0.6552 |
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| 0.7869 | 3.0 | 312 | 0.7140 | 0.658 | 0.6521 |
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| 0.755 | 4.0 | 416 | 0.6894 | 0.678 | 0.6762 |
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| 0.7368 | 5.0 | 520 | 0.6562 | 0.7 | 0.7004 |
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| 0.7164 | 6.0 | 624 | 0.6501 | 0.696 | 0.6951 |
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| 0.7032 | 7.0 | 728 | 0.6437 | 0.708 | 0.7084 |
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| 0.6911 | 8.0 | 832 | 0.6097 | 0.694 | 0.6930 |
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| 0.6759 | 9.0 | 936 | 0.6034 | 0.702 | 0.7019 |
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| 0.6671 | 10.0 | 1040 | 0.6038 | 0.69 | 0.6890 |
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| 0.6573 | 11.0 | 1144 | 0.6016 | 0.704 | 0.7033 |
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| 0.653 | 12.0 | 1248 | 0.5920 | 0.712 | 0.7126 |
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| 0.6364 | 13.0 | 1352 | 0.5950 | 0.708 | 0.7085 |
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| 0.6386 | 14.0 | 1456 | 0.5922 | 0.688 | 0.6864 |
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| 0.6321 | 15.0 | 1560 | 0.5853 | 0.71 | 0.7105 |
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| 0.6193 | 16.0 | 1664 | 0.5936 | 0.69 | 0.6889 |
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| 0.6109 | 17.0 | 1768 | 0.5838 | 0.714 | 0.7145 |
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| 0.612 | 18.0 | 1872 | 0.5838 | 0.716 | 0.7168 |
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| 0.6083 | 19.0 | 1976 | 0.5884 | 0.708 | 0.7077 |
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| 0.5948 | 20.0 | 2080 | 0.5866 | 0.702 | 0.7023 |
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### Framework versions
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model.safetensors
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