readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: hsohn3/cchs-bert-visit-uncased-wordlevel-block512-batch4-ep30
    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. -->
  
  # hsohn3/cchs-bert-visit-uncased-wordlevel-block512-batch4-ep30
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.6958
  - Epoch: 29
  
  ## 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 | Epoch |
  |:----------:|:-----:|
  | 3.8594     | 0     |
  | 3.0596     | 1     |
  | 3.0244     | 2     |
  | 3.0092     | 3     |
  | 2.9900     | 4     |
  | 2.9930     | 5     |
  | 2.9806     | 6     |
  | 2.9839     | 7     |
  | 2.9784     | 8     |
  | 2.9755     | 9     |
  | 2.9733     | 10    |
  | 2.9670     | 11    |
  | 2.9607     | 12    |
  | 2.9569     | 13    |
  | 2.9176     | 14    |
  | 2.8893     | 15    |
  | 2.8539     | 16    |
  | 2.8335     | 17    |
  | 2.8110     | 18    |
  | 2.7907     | 19    |
  | 2.7756     | 20    |
  | 2.7486     | 21    |
  | 2.7169     | 22    |
  | 2.6725     | 23    |
  | 2.6094     | 24    |
  | 2.5099     | 25    |
  | 2.3102     | 26    |
  | 2.0934     | 27    |
  | 1.8858     | 28    |
  | 1.6958     | 29    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  