readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: kasrahabib/model_L6V2_Final_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/model_L6V2_Final_trained_on_open_and_closed_source
  
  This model is a fine-tuned version of [kasrahabib/all-MiniLM-L6-v2-finetunned-fnfreq-clf-promise-finetunned-fnfreq-clf-promise-third](https://huggingface.co/kasrahabib/all-MiniLM-L6-v2-finetunned-fnfreq-clf-promise-finetunned-fnfreq-clf-promise-third) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.0060
  - Validation Loss: 0.1285
  - Train Precision: 0.9504
  - Train Recall: 0.9866
  - Train F1: 0.9682
  - 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 |
  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
  | 0.1108     | 0.0862          | 0.9503          | 0.9847       | 0.9672   | 0     |
  | 0.0607     | 0.0720          | 0.9698          | 0.9790       | 0.9744   | 1     |
  | 0.0405     | 0.1524          | 0.9121          | 0.9905       | 0.9497   | 2     |
  | 0.0293     | 0.1266          | 0.9236          | 0.9924       | 0.9568   | 3     |
  | 0.0169     | 0.1214          | 0.9485          | 0.9847       | 0.9663   | 4     |
  | 0.0204     | 0.1036          | 0.9505          | 0.9905       | 0.9701   | 5     |
  | 0.0112     | 0.1043          | 0.9607          | 0.9809       | 0.9707   | 6     |
  | 0.0088     | 0.1281          | 0.9454          | 0.9905       | 0.9674   | 7     |
  | 0.0082     | 0.1379          | 0.9402          | 0.9905       | 0.9647   | 8     |
  | 0.0060     | 0.1285          | 0.9504          | 0.9866       | 0.9682   | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  