readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: BeardedJohn/bert-finetuned-joint_intent_slots_ubb_endava
    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. -->
  
  # BeardedJohn/bert-finetuned-joint_intent_slots_ubb_endava
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 5.1282
  - Train Output 1 Loss: 0.2030
  - Train Output 2 Loss: 4.9252
  - Train Output 1 Accuracy: 0.9719
  - Train Output 2 Accuracy: 0.6116
  - Validation Loss: 4.7179
  - Validation Output 1 Loss: 0.0092
  - Validation Output 2 Loss: 4.7087
  - Validation Output 1 Accuracy: 0.9978
  - Validation Output 2 Accuracy: 0.9997
  - Epoch: 0
  
  ## 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': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Output 1 Loss | Train Output 2 Loss | Train Output 1 Accuracy | Train Output 2 Accuracy | Validation Loss | Validation Output 1 Loss | Validation Output 2 Loss | Validation Output 1 Accuracy | Validation Output 2 Accuracy | Epoch |
  |:----------:|:-------------------:|:-------------------:|:-----------------------:|:-----------------------:|:---------------:|:------------------------:|:------------------------:|:----------------------------:|:----------------------------:|:-----:|
  | 5.1282     | 0.2030              | 4.9252              | 0.9719                  | 0.6116                  | 4.7179          | 0.0092                   | 4.7087                   | 0.9978                       | 0.9997                       | 0     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.9.2
  - Tokenizers 0.13.2
  