readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: kasrahabib/all-MiniLM-L6-v2-trained-on-types-of-nf-req-second-on-promise
    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-types-of-nf-req-second-on-promise
  
  This model is a fine-tuned version of [kasrahabib/all-MiniLM-L6-v2-trained-on-types-of-nf-req](https://huggingface.co/kasrahabib/all-MiniLM-L6-v2-trained-on-types-of-nf-req) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.4251
  - Validation Loss: 0.3736
  - Train Precision: 0.9076
  - Train Recall: 0.9076
  - Train F1: 0.9076
  - 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': 230, '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 |
  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
  | 0.7083     | 0.5605          | 0.8451          | 0.8451       | 0.8451   | 0     |
  | 0.6171     | 0.5189          | 0.8696          | 0.8696       | 0.8696   | 1     |
  | 0.5649     | 0.4827          | 0.8886          | 0.8886       | 0.8886   | 2     |
  | 0.5209     | 0.4462          | 0.8832          | 0.8832       | 0.8832   | 3     |
  | 0.4894     | 0.4114          | 0.8913          | 0.8913       | 0.8913   | 4     |
  | 0.4641     | 0.4014          | 0.9049          | 0.9049       | 0.9049   | 5     |
  | 0.4459     | 0.3890          | 0.9049          | 0.9049       | 0.9049   | 6     |
  | 0.4392     | 0.3806          | 0.9076          | 0.9076       | 0.9076   | 7     |
  | 0.4267     | 0.3733          | 0.9103          | 0.9103       | 0.9103   | 8     |
  | 0.4251     | 0.3736          | 0.9076          | 0.9076       | 0.9076   | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  