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  ---
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  library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # HowRU-KoELECTRA-Emotion-Classifier
@@ -66,7 +86,6 @@ print(predict("오늘 정말 기분이 좋고 행복한 하루였어!"))
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  ### Training Procedure
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  - **Base Model**: [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator)
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  - **Objective**: Single-label classification
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- - **Precision**: fp16 mixed precision
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  - **Max Length**: 512
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  ### Training Hyperparameters
@@ -117,4 +136,4 @@ print(predict("오늘 정말 기분이 좋고 행복한 하루였어!"))
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  publisher={Hugging Face},
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  howpublished={\url{https://huggingface.co/LimYeri/HowRU-KoELECTRA-Emotion-Classifier}}
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  }
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- ```
 
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  ---
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  library_name: transformers
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+ tags:
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+ - korean
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+ - emotion
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+ - emotion-classification
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+ - nlp
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+ - electra
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+ - koelectra
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+ - sentiment
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+ - sequence-classification
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+ license: mit
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+ datasets:
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+ - LimYeri/kor-diary-emotion_v2
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+ - qowlsdud/CounselGPT
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+ language:
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+ - ko
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+ metrics:
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+ - accuracy
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+ - f1
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+ base_model:
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+ - monologg/koelectra-base-v3-discriminator
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+ pipeline_tag: text-classification
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  ---
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  # HowRU-KoELECTRA-Emotion-Classifier
 
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  ### Training Procedure
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  - **Base Model**: [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator)
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  - **Objective**: Single-label classification
 
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  - **Max Length**: 512
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  ### Training Hyperparameters
 
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  publisher={Hugging Face},
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  howpublished={\url{https://huggingface.co/LimYeri/HowRU-KoELECTRA-Emotion-Classifier}}
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  }
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+ ```