readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: madatnlp/skgpt-base-kormath
    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/skgpt-base-kormath
  
  This model is a fine-tuned version of [madatnlp/sk-kogptv2-kormath-causal](https://huggingface.co/madatnlp/sk-kogptv2-kormath-causal) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.4912
  - Validation Loss: 1.1109
  - Epoch: 25
  
  ## 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': 5.3799995e-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 |
  |:----------:|:---------------:|:-----:|
  | 2.0777     | 1.5042          | 0     |
  | 1.4350     | 1.1904          | 1     |
  | 1.3248     | 1.2871          | 2     |
  | 1.1661     | 1.4441          | 3     |
  | 1.0920     | 1.0973          | 4     |
  | 1.0431     | 1.3860          | 5     |
  | 0.9541     | 1.2228          | 6     |
  | 0.9315     | 1.0385          | 7     |
  | 0.8875     | 1.2156          | 8     |
  | 0.8838     | 1.0195          | 9     |
  | 0.8029     | 1.1956          | 10    |
  | 0.7533     | 1.1139          | 11    |
  | 0.7526     | 1.4868          | 12    |
  | 0.6986     | 1.1045          | 13    |
  | 0.6999     | 1.1083          | 14    |
  | 0.6462     | 1.0082          | 15    |
  | 0.6325     | 1.0643          | 16    |
  | 0.6350     | 1.0729          | 17    |
  | 0.6373     | 1.0455          | 18    |
  | 0.5922     | 1.2834          | 19    |
  | 0.5606     | 1.1031          | 20    |
  | 0.5241     | 1.3085          | 21    |
  | 0.5394     | 1.2911          | 22    |
  | 0.5486     | 1.2407          | 23    |
  | 0.5239     | 1.2075          | 24    |
  | 0.4912     | 1.1109          | 25    |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - TensorFlow 2.8.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  