readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: neg_komrc_train
    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. -->
  
  # neg_komrc_train
  
  This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4016
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 1234
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.277         | 0.51  | 10000 | 0.4016          |
  | 0.1671        | 1.03  | 20000 | 0.4116          |
  | 0.1725        | 1.54  | 30000 | 0.4390          |
  | 0.0868        | 2.06  | 40000 | 0.5147          |
  | 0.0868        | 2.57  | 50000 | 0.5064          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.4
  - Tokenizers 0.10.3
  