readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: koelectra-base-v3-discriminator-finetuned-klue-v4
    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. -->
  
  # koelectra-base-v3-discriminator-finetuned-klue-v4
  
  This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6219
  
  ## 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: 5e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 5.4979        | 0.33  | 500  | 4.0470          |
  | 3.2001        | 0.65  | 1000 | 2.3172          |
  | 2.215         | 0.98  | 1500 | 1.9043          |
  | 1.7849        | 1.31  | 2000 | 1.7181          |
  | 1.6156        | 1.63  | 2500 | 1.5955          |
  | 1.5295        | 1.96  | 3000 | 1.5071          |
  | 1.2147        | 2.29  | 3500 | 1.5872          |
  | 1.1727        | 2.61  | 4000 | 1.5104          |
  | 1.1467        | 2.94  | 4500 | 1.6059          |
  | 0.9972        | 3.27  | 5000 | 1.6523          |
  | 0.9791        | 3.59  | 5500 | 1.6219          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.12.1
  