readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: kasrahabib/all-MiniLM-L6-v2-finetunned-90percentile-384embd-kmeans-propogated
    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-finetunned-90percentile-384embd-kmeans-propogated
  
  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: 0.0070
  - Validation Loss: 0.1409
  - Train Precision: 0.9618
  - Train Recall: 0.9758
  - Train F1: 0.9688
  - 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': 4140, '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 |
  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
  | 0.2455     | 0.1360          | 0.9231          | 0.9879       | 0.9544   | 0     |
  | 0.0735     | 0.1060          | 0.9640          | 0.9734       | 0.9687   | 1     |
  | 0.0450     | 0.1178          | 0.9485          | 0.9806       | 0.9643   | 2     |
  | 0.0286     | 0.1038          | 0.9599          | 0.9855       | 0.9725   | 3     |
  | 0.0194     | 0.1229          | 0.9684          | 0.9661       | 0.9673   | 4     |
  | 0.0183     | 0.1307          | 0.9617          | 0.9734       | 0.9675   | 5     |
  | 0.0113     | 0.1295          | 0.9618          | 0.9758       | 0.9688   | 6     |
  | 0.0101     | 0.1397          | 0.9508          | 0.9831       | 0.9667   | 7     |
  | 0.0093     | 0.1417          | 0.9618          | 0.9758       | 0.9688   | 8     |
  | 0.0070     | 0.1409          | 0.9618          | 0.9758       | 0.9688   | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  