readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: pbwt/th1
    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. -->
  
  # pbwt/th1
  
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.0008
  - Train Sparse Categorical Accuracy: 1.0
  - Validation Loss: 0.0005
  - Validation Sparse Categorical Accuracy: 1.0
  - Epoch: 2
  
  ## 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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
  | 0.1184     | 0.9650                            | 0.0017          | 1.0                                    | 0     |
  | 0.0015     | 1.0                               | 0.0008          | 1.0                                    | 1     |
  | 0.0008     | 1.0                               | 0.0005          | 1.0                                    | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - TensorFlow 2.6.2
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  