BigBigBe/news_classifier
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: monologg/koelectra-base-v3-discriminator
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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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# ynat-model
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This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4085
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- Accuracy: 0.8608
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---
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library_name: transformers
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language:
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- ko
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license: apache-2.0
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base_model: monologg/koelectra-base-v3-discriminator
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tags:
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- text_calssification
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- KoELECTRA
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- Korean-NLP
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- topic-classification
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- news-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# ynat-model
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This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the klue_ynat dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4085
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- Accuracy: 0.8608
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