readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: PromptGenerator_5_topic_finetuned
    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. -->
  
  # PromptGenerator_5_topic_finetuned
  
  This model is a fine-tuned version of [kmkarakaya/turkishReviews-ds](https://huggingface.co/kmkarakaya/turkishReviews-ds) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 1.6861
  - Train Sparse Categorical Accuracy: 0.8150
  - Validation Loss: 1.9777
  - Validation Sparse Categorical Accuracy: 0.7250
  - Epoch: 4
  
  ## 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 |
  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
  | 3.0394     | 0.5171                            | 2.7152          | 0.5841                                 | 0     |
  | 2.5336     | 0.6247                            | 2.4440          | 0.6318                                 | 1     |
  | 2.2002     | 0.6958                            | 2.2557          | 0.6659                                 | 2     |
  | 1.9241     | 0.7608                            | 2.1059          | 0.6932                                 | 3     |
  | 1.6861     | 0.8150                            | 1.9777          | 0.7250                                 | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - TensorFlow 2.8.2
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  