readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: korean_sentiment_analysis_kcelectra
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # korean_sentiment_analysis_kcelectra
  
  This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/beomi/KcELECTRA-base-v2022) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9718
  - Micro f1 score: 70.7183
  - Auprc: 68.4562
  - Accuracy: 0.7072
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Micro f1 score | Auprc   | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:-------:|:--------:|
  | 1.0543        | 1.0   | 391  | 0.9923          | 65.3061        | 49.6906 | 0.6531   |
  | 0.8573        | 2.0   | 782  | 0.8229          | 69.9901        | 64.4071 | 0.6999   |
  | 0.7217        | 3.0   | 1173 | 0.7961          | 71.0600        | 67.4640 | 0.7106   |
  | 0.6305        | 4.0   | 1564 | 0.8163          | 71.1229        | 68.5191 | 0.7112   |
  | 0.5294        | 5.0   | 1955 | 0.8205          | 71.0150        | 68.7334 | 0.7102   |
  | 0.4689        | 6.0   | 2346 | 0.8716          | 71.1679        | 68.7751 | 0.7117   |
  | 0.433         | 7.0   | 2737 | 0.9086          | 70.9880        | 68.3653 | 0.7099   |
  | 0.419         | 8.0   | 3128 | 0.9290          | 70.6734        | 68.4606 | 0.7067   |
  | 0.3766        | 9.0   | 3519 | 0.9619          | 70.6464        | 68.5132 | 0.7065   |
  | 0.3395        | 10.0  | 3910 | 0.9718          | 70.7183        | 68.4562 | 0.7072   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.6.0
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  