readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: tf_bert_uncased_emotion_detection
    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. -->
  
  # tf_bert_uncased_emotion_detection
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.0659
  - Train Accuracy: 0.9661
  - Validation Loss: 0.1150
  - Validation Accuracy: 0.9370
  - 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': 5e-05, 'decay_steps': 6000, '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-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 0.3703     | 0.8683         | 0.1511          | 0.9315              | 0     |
  | 0.1208     | 0.9414         | 0.1145          | 0.9380              | 1     |
  | 0.0820     | 0.9561         | 0.1150          | 0.9370              | 2     |
  | 0.0656     | 0.9681         | 0.1150          | 0.9370              | 3     |
  | 0.0643     | 0.9671         | 0.1150          | 0.9370              | 4     |
  | 0.0652     | 0.9697         | 0.1150          | 0.9370              | 5     |
  | 0.0646     | 0.9689         | 0.1150          | 0.9370              | 6     |
  | 0.0651     | 0.9678         | 0.1150          | 0.9370              | 7     |
  | 0.0651     | 0.9691         | 0.1150          | 0.9370              | 8     |
  | 0.0659     | 0.9661         | 0.1150          | 0.9370              | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - TensorFlow 2.9.2
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  