readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: syp1229/bert-base-finetuned-koidiom
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # syp1229/bert-base-finetuned-koidiom
  
  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 2.1288
  - Validation Loss: 1.8307
  - Epoch: 0
  
  ## 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:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 2.1288     | 1.8307          | 0     |
  
  
  ### Framework versions
  
  - Transformers 4.19.1
  - TensorFlow 2.8.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  