readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: hsohn3/mayo-bert-visit-uncased-wordlevel-block512-batch4-ep50
    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/mayo-bert-visit-uncased-wordlevel-block512-batch4-ep50
  
  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: 1.0832
  - Epoch: 49
  
  ## 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 |
  |:----------:|:-----:|
  | 4.1266     | 0     |
  | 3.5212     | 1     |
  | 3.4780     | 2     |
  | 3.4533     | 3     |
  | 3.4376     | 4     |
  | 3.4325     | 5     |
  | 3.4276     | 6     |
  | 3.4119     | 7     |
  | 3.3654     | 8     |
  | 3.2948     | 9     |
  | 3.2422     | 10    |
  | 3.2069     | 11    |
  | 3.1736     | 12    |
  | 3.1292     | 13    |
  | 3.0781     | 14    |
  | 3.0138     | 15    |
  | 2.9582     | 16    |
  | 2.8954     | 17    |
  | 2.7166     | 18    |
  | 2.4073     | 19    |
  | 2.1573     | 20    |
  | 1.9469     | 21    |
  | 1.7981     | 22    |
  | 1.7012     | 23    |
  | 1.6145     | 24    |
  | 1.5482     | 25    |
  | 1.4866     | 26    |
  | 1.4336     | 27    |
  | 1.3815     | 28    |
  | 1.3483     | 29    |
  | 1.3087     | 30    |
  | 1.2814     | 31    |
  | 1.2548     | 32    |
  | 1.2373     | 33    |
  | 1.2216     | 34    |
  | 1.2080     | 35    |
  | 1.1907     | 36    |
  | 1.1820     | 37    |
  | 1.1650     | 38    |
  | 1.1622     | 39    |
  | 1.1498     | 40    |
  | 1.1347     | 41    |
  | 1.1299     | 42    |
  | 1.1197     | 43    |
  | 1.1100     | 44    |
  | 1.1094     | 45    |
  | 1.1033     | 46    |
  | 1.0943     | 47    |
  | 1.0918     | 48    |
  | 1.0832     | 49    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - TensorFlow 2.8.2
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  