readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: whisper_havest_0010
    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_havest_0010
  
  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: 5.1222
  - Train Accuracy: 0.0117
  - Train Do Wer: 1.0
  - Validation Loss: 5.1600
  - Validation Accuracy: 0.0117
  - Validation Do Wer: 1.0
  - 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': '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 | Train Do Wer | Validation Loss | Validation Accuracy | Validation Do Wer | Epoch |
  |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
  | 9.9191     | 0.0046         | 1.0          | 8.5836          | 0.0067              | 1.0               | 0     |
  | 8.0709     | 0.0083         | 1.0          | 7.4667          | 0.0089              | 1.0               | 1     |
  | 7.1652     | 0.0100         | 1.0          | 6.8204          | 0.0112              | 1.0               | 2     |
  | 6.7196     | 0.0114         | 1.0          | 6.5192          | 0.0114              | 1.0               | 3     |
  | 6.4115     | 0.0115         | 1.0          | 6.2357          | 0.0115              | 1.0               | 4     |
  | 6.1085     | 0.0115         | 1.0          | 5.9657          | 0.0115              | 1.0               | 5     |
  | 5.8206     | 0.0115         | 1.0          | 5.7162          | 0.0115              | 1.0               | 6     |
  | 5.5567     | 0.0115         | 1.0          | 5.4963          | 0.0115              | 1.0               | 7     |
  | 5.3223     | 0.0116         | 1.0          | 5.3096          | 0.0116              | 1.0               | 8     |
  | 5.1222     | 0.0117         | 1.0          | 5.1600          | 0.0117              | 1.0               | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  