readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: whisper_werbest
    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_werbest
  
  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: 0.3071
  - Train Accuracy: 0.0324
  - Train Wermet: 1.7931
  - Validation Loss: 0.5766
  - Validation Accuracy: 0.0312
  - Validation Wermet: 1.5663
  - Epoch: 14
  
  ## 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 Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
  |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
  | 5.0795     | 0.0116         | 43.8776      | 4.4395          | 0.0122              | 35.4119           | 0     |
  | 4.3059     | 0.0131         | 29.7976      | 4.0311          | 0.0143              | 26.0070           | 1     |
  | 3.8871     | 0.0148         | 19.3999      | 3.6500          | 0.0158              | 19.2186           | 2     |
  | 3.0943     | 0.0184         | 18.3704      | 2.3327          | 0.0226              | 22.5034           | 3     |
  | 1.8954     | 0.0240         | 16.2471      | 1.4889          | 0.0266              | 14.2782           | 4     |
  | 1.2781     | 0.0269         | 8.4169       | 1.1273          | 0.0283              | 7.4581            | 5     |
  | 0.9797     | 0.0283         | 4.8739       | 0.9481          | 0.0292              | 3.9451            | 6     |
  | 0.8006     | 0.0293         | 2.7433       | 0.8371          | 0.0297              | 2.3065            | 7     |
  | 0.6764     | 0.0299         | 2.1646       | 0.7554          | 0.0301              | 1.3005            | 8     |
  | 0.5820     | 0.0305         | 1.5323       | 0.6980          | 0.0305              | 1.1238            | 9     |
  | 0.5078     | 0.0310         | 1.4328       | 0.6617          | 0.0306              | 1.2793            | 10    |
  | 0.4455     | 0.0314         | 1.4891       | 0.6252          | 0.0309              | 1.6833            | 11    |
  | 0.3927     | 0.0317         | 1.6700       | 0.6123          | 0.0310              | 2.1091            | 12    |
  | 0.3473     | 0.0321         | 1.6245       | 0.5851          | 0.0311              | 1.4109            | 13    |
  | 0.3071     | 0.0324         | 1.7931       | 0.5766          | 0.0312              | 1.5663            | 14    |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  