readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: whisper_final_09
    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. -->
  
  # whisper_final_09
  
  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: 0.0816
  - Train Accuracy: 0.0343
  - Validation Loss: 0.5877
  - Validation Accuracy: 0.0313
  - Epoch: 24
  
  ## 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     |
  | 2.2581     | 0.0220         | 1.7622          | 0.0252              | 5     |
  | 1.4671     | 0.0259         | 1.2711          | 0.0276              | 6     |
  | 1.0779     | 0.0278         | 1.0220          | 0.0288              | 7     |
  | 0.8591     | 0.0290         | 0.8836          | 0.0295              | 8     |
  | 0.7159     | 0.0297         | 0.7918          | 0.0300              | 9     |
  | 0.6105     | 0.0304         | 0.7276          | 0.0303              | 10    |
  | 0.5287     | 0.0309         | 0.6850          | 0.0306              | 11    |
  | 0.4614     | 0.0313         | 0.6472          | 0.0308              | 12    |
  | 0.4049     | 0.0317         | 0.6199          | 0.0310              | 13    |
  | 0.3562     | 0.0320         | 0.6019          | 0.0311              | 14    |
  | 0.3139     | 0.0324         | 0.5868          | 0.0311              | 15    |
  | 0.2766     | 0.0326         | 0.5751          | 0.0312              | 16    |
  | 0.2438     | 0.0329         | 0.5701          | 0.0312              | 17    |
  | 0.2116     | 0.0332         | 0.5686          | 0.0313              | 18    |
  | 0.1844     | 0.0334         | 0.5619          | 0.0313              | 19    |
  | 0.1593     | 0.0336         | 0.5710          | 0.0313              | 20    |
  | 0.1363     | 0.0338         | 0.5656          | 0.0314              | 21    |
  | 0.1160     | 0.0340         | 0.5763          | 0.0313              | 22    |
  | 0.0981     | 0.0341         | 0.5806          | 0.0313              | 23    |
  | 0.0816     | 0.0343         | 0.5877          | 0.0313              | 24    |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  