readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: keras-io/sentiment-analysis
    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. -->
  
  # keras-io/sentiment-analysis
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.6865
  - Validation Loss: 0.7002
  - Train Accuracy: 0.4908
  - Epoch: 4
  
  ## 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': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Train Accuracy | Epoch |
  |:----------:|:---------------:|:--------------:|:-----:|
  | 0.6865     | 0.6975          | 0.4908         | 0     |
  | 0.6865     | 0.6973          | 0.4908         | 1     |
  | 0.6865     | 0.6976          | 0.4908         | 2     |
  | 0.6865     | 0.6975          | 0.4908         | 3     |
  | 0.6865     | 0.7002          | 0.4908         | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - TensorFlow 2.7.0
  - Datasets 1.18.2
  - Tokenizers 0.11.0
  