readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: kasrahabib/distilbert-base-uncased-trained-on-open-and-closed-source
    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. -->
  
  # kasrahabib/distilbert-base-uncased-trained-on-open-and-closed-source
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.0039
  - Validation Loss: 0.2082
  - Train Precision: 0.9374
  - Train Recall: 0.9714
  - Train F1: 0.9541
  - Epoch: 9
  
  ## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5860, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Epoch |
  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
  | 0.2472     | 0.1604          | 0.8967          | 0.9771       | 0.9352   | 0     |
  | 0.0924     | 0.1266          | 0.9330          | 0.9561       | 0.9444   | 1     |
  | 0.0439     | 0.1281          | 0.9543          | 0.9561       | 0.9552   | 2     |
  | 0.0258     | 0.2058          | 0.8995          | 0.9905       | 0.9428   | 3     |
  | 0.0136     | 0.1767          | 0.9418          | 0.9580       | 0.9499   | 4     |
  | 0.0134     | 0.2637          | 0.8927          | 0.9847       | 0.9365   | 5     |
  | 0.0074     | 0.2197          | 0.9144          | 0.9790       | 0.9456   | 6     |
  | 0.0049     | 0.2140          | 0.9355          | 0.9695       | 0.9522   | 7     |
  | 0.0058     | 0.2117          | 0.9360          | 0.9771       | 0.9561   | 8     |
  | 0.0039     | 0.2082          | 0.9374          | 0.9714       | 0.9541   | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  