readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: kasrahabib/all-MiniLM-L6-v2-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/all-MiniLM-L6-v2-trained-on-open-and-closed-source
  
  This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.0080
  - Validation Loss: 0.1430
  - Train Precision: 0.9485
  - Train Recall: 0.9847
  - Train F1: 0.9663
  - 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 |
  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
  | 0.2148     | 0.1044          | 0.9416          | 0.9847       | 0.9627   | 0     |
  | 0.0731     | 0.1017          | 0.9465          | 0.9790       | 0.9625   | 1     |
  | 0.0387     | 0.1205          | 0.9655          | 0.9599       | 0.9627   | 2     |
  | 0.0307     | 0.1533          | 0.9171          | 0.9924       | 0.9533   | 3     |
  | 0.0211     | 0.1160          | 0.9676          | 0.9676       | 0.9676   | 4     |
  | 0.0163     | 0.1295          | 0.9483          | 0.9809       | 0.9644   | 5     |
  | 0.0136     | 0.1321          | 0.9452          | 0.9866       | 0.9655   | 6     |
  | 0.0111     | 0.1406          | 0.9451          | 0.9847       | 0.9645   | 7     |
  | 0.0076     | 0.1393          | 0.9502          | 0.9828       | 0.9662   | 8     |
  | 0.0080     | 0.1430          | 0.9485          | 0.9847       | 0.9663   | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  