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update model card README.md
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README.md
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: korean_sentiment_analysis_kcelectra
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results: []
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# korean_sentiment_analysis_kcelectra
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This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/beomi/KcELECTRA-base-v2022) on an unknown dataset.
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## Model description
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### Training results
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### Framework versions
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: korean_sentiment_analysis_kcelectra
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results: []
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# korean_sentiment_analysis_kcelectra
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This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/beomi/KcELECTRA-base-v2022) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9718
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- Micro f1 score: 70.7183
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- Auprc: 68.4562
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- Accuracy: 0.7072
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Micro f1 score | Auprc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:-------:|:--------:|
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| 1.0543 | 1.0 | 391 | 0.9923 | 65.3061 | 49.6906 | 0.6531 |
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| 0.8573 | 2.0 | 782 | 0.8229 | 69.9901 | 64.4071 | 0.6999 |
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| 0.7217 | 3.0 | 1173 | 0.7961 | 71.0600 | 67.4640 | 0.7106 |
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| 0.6305 | 4.0 | 1564 | 0.8163 | 71.1229 | 68.5191 | 0.7112 |
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| 0.5294 | 5.0 | 1955 | 0.8205 | 71.0150 | 68.7334 | 0.7102 |
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| 0.4689 | 6.0 | 2346 | 0.8716 | 71.1679 | 68.7751 | 0.7117 |
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| 0.433 | 7.0 | 2737 | 0.9086 | 70.9880 | 68.3653 | 0.7099 |
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| 0.419 | 8.0 | 3128 | 0.9290 | 70.6734 | 68.4606 | 0.7067 |
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| 0.3766 | 9.0 | 3519 | 0.9619 | 70.6464 | 68.5132 | 0.7065 |
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| 0.3395 | 10.0 | 3910 | 0.9718 | 70.7183 | 68.4562 | 0.7072 |
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### Framework versions
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