readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: madatnlp/sk-kogptv2-kormath-causal
    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. -->
  
  # madatnlp/sk-kogptv2-kormath-causal
  
  This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.3184
  - Validation Loss: 1.4046
  - Epoch: 15
  
  ## 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': 'Adam', 'learning_rate': 2.2999999e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 2.7142     | 1.8683          | 0     |
  | 1.6077     | 1.4417          | 1     |
  | 1.2458     | 1.3161          | 2     |
  | 1.0396     | 1.2704          | 3     |
  | 0.8848     | 1.2818          | 4     |
  | 0.7634     | 1.2579          | 5     |
  | 0.6699     | 1.2724          | 6     |
  | 0.5948     | 1.2718          | 7     |
  | 0.5306     | 1.3300          | 8     |
  | 0.4832     | 1.3377          | 9     |
  | 0.4401     | 1.3038          | 10    |
  | 0.4053     | 1.3622          | 11    |
  | 0.3782     | 1.3577          | 12    |
  | 0.3550     | 1.3696          | 13    |
  | 0.3347     | 1.3682          | 14    |
  | 0.3184     | 1.4046          | 15    |
  
  
  ### Framework versions
  
  - Transformers 4.19.1
  - TensorFlow 2.8.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  