readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: whisper_wermet_nosup_0015
    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_wermet_nosup_0015
  
  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: 0.2807
  - Train Accuracy: 0.0326
  - Train Wermet: 5.9455
  - Validation Loss: 0.5636
  - Validation Accuracy: 0.0313
  - Validation Wermet: 5.3382
  - 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 |
  |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
  | 5.0860     | 0.0116         | 45.4352      | 4.4455          | 0.0124              | 36.1611           | 0     |
  | 4.3098     | 0.0131         | 29.4890      | 4.0321          | 0.0144              | 24.9514           | 1     |
  | 3.6711     | 0.0160         | 25.7380      | 2.7995          | 0.0205              | 32.2126           | 2     |
  | 2.2582     | 0.0224         | 31.5946      | 1.6772          | 0.0257              | 23.9282           | 3     |
  | 1.4268     | 0.0262         | 23.3380      | 1.2097          | 0.0279              | 18.7331           | 4     |
  | 1.0613     | 0.0279         | 13.6764      | 0.9972          | 0.0289              | 10.7707           | 5     |
  | 0.8545     | 0.0290         | 9.2746       | 0.8605          | 0.0296              | 6.5566            | 6     |
  | 0.7144     | 0.0297         | 7.4723       | 0.7768          | 0.0300              | 5.4825            | 7     |
  | 0.6116     | 0.0303         | 6.9092       | 0.7125          | 0.0304              | 6.5220            | 8     |
  | 0.5307     | 0.0308         | 6.4113       | 0.6640          | 0.0306              | 5.7589            | 9     |
  | 0.4647     | 0.0312         | 5.5865       | 0.6338          | 0.0309              | 4.8846            | 10    |
  | 0.4085     | 0.0316         | 5.9874       | 0.6035          | 0.0310              | 3.8731            | 11    |
  | 0.3602     | 0.0320         | 5.5558       | 0.5838          | 0.0311              | 6.3441            | 12    |
  | 0.3184     | 0.0323         | 6.2887       | 0.5690          | 0.0312              | 3.9274            | 13    |
  | 0.2807     | 0.0326         | 5.9455       | 0.5636          | 0.0313              | 5.3382            | 14    |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  