readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: kasrahabib/all-MiniLM-L6-v2-trained-on-types-of-nf-req
    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
  
  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: 0.4135
  - Validation Loss: 0.3675
  - Train Precision: 0.9122
  - Train Recall: 0.9122
  - Train F1: 0.9122
  - 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': 1430, '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 |
  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
  | 0.4139     | 0.3683          | 0.9135          | 0.9135       | 0.9135   | 0     |
  | 0.4217     | 0.3686          | 0.9126          | 0.9126       | 0.9126   | 1     |
  | 0.4158     | 0.3677          | 0.9126          | 0.9126       | 0.9126   | 2     |
  | 0.4174     | 0.3673          | 0.9122          | 0.9122       | 0.9122   | 3     |
  | 0.4174     | 0.3682          | 0.9130          | 0.9130       | 0.9130   | 4     |
  | 0.4195     | 0.3680          | 0.9130          | 0.9130       | 0.9130   | 5     |
  | 0.4183     | 0.3677          | 0.9130          | 0.9130       | 0.9130   | 6     |
  | 0.4222     | 0.3688          | 0.9130          | 0.9130       | 0.9130   | 7     |
  | 0.4196     | 0.3679          | 0.9126          | 0.9126       | 0.9126   | 8     |
  | 0.4135     | 0.3675          | 0.9122          | 0.9122       | 0.9122   | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  