readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: madatnlp/ket5-config-scratch
    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/ket5-config-scratch
  
  This model is a fine-tuned version of [madatnlp/ket5-config-scratch](https://huggingface.co/madatnlp/ket5-config-scratch) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.3667
  - Validation Loss: 1.4931
  - Epoch: 18
  
  ## 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': 1e-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 |
  |:----------:|:---------------:|:-----:|
  | 1.4117     | 1.5494          | 0     |
  | 1.4012     | 1.5838          | 1     |
  | 1.4056     | 1.5710          | 2     |
  | 1.4133     | 1.5190          | 3     |
  | 1.3887     | 1.4858          | 4     |
  | 1.3951     | 1.4920          | 5     |
  | 1.3889     | 1.5038          | 6     |
  | 1.3804     | 1.5079          | 7     |
  | 1.3991     | 1.4368          | 8     |
  | 1.3852     | 1.4974          | 9     |
  | 1.3971     | 1.5164          | 10    |
  | 1.3853     | 1.5632          | 11    |
  | 1.3719     | 1.5163          | 12    |
  | 1.3805     | 1.4271          | 13    |
  | 1.3818     | 1.5078          | 14    |
  | 1.3741     | 1.4687          | 15    |
  | 1.3796     | 1.4623          | 16    |
  | 1.3701     | 1.5326          | 17    |
  | 1.3667     | 1.4931          | 18    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - TensorFlow 2.8.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  