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--- |
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license: cc-by-sa-4.0 |
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base_model: klue/bert-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: category4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# category4 |
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2658 |
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- Train Accuracy: 1.0 |
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- Validation Loss: 0.3699 |
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- Validation Accuracy: 0.9485 |
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- Epoch: 5 |
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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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- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 3.5847 | 0.1529 | 3.1016 | 0.3402 | 0 | |
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| 2.5797 | 0.5701 | 2.1027 | 0.7216 | 1 | |
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| 1.5816 | 0.8793 | 1.1963 | 0.9175 | 2 | |
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| 0.8647 | 0.9690 | 0.7416 | 0.9381 | 3 | |
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| 0.4668 | 0.9954 | 0.5027 | 0.9485 | 4 | |
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| 0.2658 | 1.0 | 0.3699 | 0.9485 | 5 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.12.0 |
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- Tokenizers 0.13.3 |
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