readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: whisper3_0005
    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. -->
  
  # whisper3_0005
  
  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 3.1592
  - Train Accuracy: 0.0175
  - Validation Loss: 2.8062
  - Validation Accuracy: 0.0199
  - 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': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 5.0832     | 0.0116         | 4.4298          | 0.0124              | 0     |
  | 4.3130     | 0.0131         | 4.0733          | 0.0141              | 1     |
  | 3.9211     | 0.0146         | 3.6762          | 0.0157              | 2     |
  | 3.5505     | 0.0159         | 3.3453          | 0.0171              | 3     |
  | 3.1592     | 0.0175         | 2.8062          | 0.0199              | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  