readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: FYP2022
    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. -->
  
  # FYP2022
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.6016
  - Train Sparse Categorical Accuracy: 0.7503
  - Train Sparse Top 3 Categorical Accuracy: 0.9901
  - Epoch: 5
  
  ## 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', 'clipnorm': 1.0, '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 | Train Sparse Categorical Accuracy | Train Sparse Top 3 Categorical Accuracy | Epoch |
  |:----------:|:---------------------------------:|:---------------------------------------:|:-----:|
  | 0.9433     | 0.5975                            | 0.9523                                  | 0     |
  | 0.8257     | 0.6498                            | 0.9704                                  | 1     |
  | 0.7625     | 0.6765                            | 0.9778                                  | 2     |
  | 0.7062     | 0.7014                            | 0.9832                                  | 3     |
  | 0.6526     | 0.7263                            | 0.9872                                  | 4     |
  | 0.6016     | 0.7503                            | 0.9901                                  | 5     |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - TensorFlow 2.8.0
  - Tokenizers 0.12.1
  