readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: koelectra-small-v3-discriminator-finetuned
    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-small-v3-discriminator-finetuned
  
  This model is a fine-tuned version of [monologg/koelectra-small-v3-discriminator](https://huggingface.co/monologg/koelectra-small-v3-discriminator) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4324
  
  ## 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
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 4.4466        | 1.0   | 702   | 3.0850          |
  | 3.1639        | 2.0   | 1404  | 2.5210          |
  | 2.3734        | 3.0   | 2106  | 2.1738          |
  | 2.0019        | 4.0   | 2808  | 1.7048          |
  | 1.5426        | 5.0   | 3510  | 1.5741          |
  | 1.4233        | 6.0   | 4212  | 1.5246          |
  | 1.3254        | 7.0   | 4914  | 1.4860          |
  | 1.2166        | 8.0   | 5616  | 1.4525          |
  | 1.1515        | 9.0   | 6318  | 1.4354          |
  | 1.0863        | 10.0  | 7020  | 1.4480          |
  | 1.0471        | 11.0  | 7722  | 1.4549          |
  | 0.9938        | 12.0  | 8424  | 1.4586          |
  | 0.9645        | 13.0  | 9126  | 1.4276          |
  | 0.957         | 14.0  | 9828  | 1.4289          |
  | 0.9322        | 15.0  | 10530 | 1.4324          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  