readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: madatnlp/ke-t5-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/ke-t5-scratch
  
  This model is a fine-tuned version of [madatnlp/ke-t5-math-py](https://huggingface.co/madatnlp/ke-t5-math-py) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.4760
  - Validation Loss: 0.7360
  - Epoch: 36
  
  ## 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-04, '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 |
  |:----------:|:---------------:|:-----:|
  | 4.2751     | 2.1074          | 0     |
  | 2.2716     | 1.7945          | 1     |
  | 1.8889     | 1.5726          | 2     |
  | 1.6760     | 1.3722          | 3     |
  | 1.5021     | 1.3280          | 4     |
  | 1.4369     | 1.2523          | 5     |
  | 1.3352     | 1.0619          | 6     |
  | 1.2749     | 1.1156          | 7     |
  | 1.2170     | 1.0452          | 8     |
  | 1.1713     | 1.0596          | 9     |
  | 1.1410     | 1.0080          | 10    |
  | 1.0884     | 1.0213          | 11    |
  | 1.0508     | 0.9223          | 12    |
  | 0.9933     | 0.9353          | 13    |
  | 0.9871     | 0.8749          | 14    |
  | 0.9251     | 0.9173          | 15    |
  | 0.9282     | 0.8620          | 16    |
  | 0.8849     | 0.8093          | 17    |
  | 0.8613     | 0.7823          | 18    |
  | 0.8322     | 0.8016          | 19    |
  | 0.8070     | 0.8844          | 20    |
  | 0.7737     | 0.7635          | 21    |
  | 0.7465     | 0.8440          | 22    |
  | 0.7178     | 0.7958          | 23    |
  | 0.7036     | 0.7739          | 24    |
  | 0.6813     | 0.7347          | 25    |
  | 0.6597     | 0.7545          | 26    |
  | 0.6427     | 0.7394          | 27    |
  | 0.6154     | 0.7212          | 28    |
  | 0.5892     | 0.7653          | 29    |
  | 0.5696     | 0.7073          | 30    |
  | 0.5644     | 0.6977          | 31    |
  | 0.5307     | 0.6977          | 32    |
  | 0.5159     | 0.7736          | 33    |
  | 0.5131     | 0.8138          | 34    |
  | 0.4812     | 0.7623          | 35    |
  | 0.4760     | 0.7360          | 36    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - TensorFlow 2.8.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  