readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: whisper_final_havest
    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_havest
  
  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: 0.0287
  - Train Accuracy: 0.0346
  - Validation Loss: 0.6219
  - Validation Accuracy: 0.0314
  - Epoch: 29
  
  ## 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 |
  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
  | 5.0949     | 0.0116         | 4.4444          | 0.0124              | 0     |
  | 4.3242     | 0.0130         | 4.0648          | 0.0140              | 1     |
  | 3.9308     | 0.0145         | 3.6837          | 0.0157              | 2     |
  | 3.5552     | 0.0159         | 3.3410          | 0.0171              | 3     |
  | 3.1591     | 0.0175         | 2.8089          | 0.0198              | 4     |
  | 2.2408     | 0.0221         | 1.7104          | 0.0255              | 5     |
  | 1.4220     | 0.0261         | 1.2181          | 0.0279              | 6     |
  | 1.0460     | 0.0280         | 0.9912          | 0.0290              | 7     |
  | 0.8363     | 0.0291         | 0.8645          | 0.0296              | 8     |
  | 0.6967     | 0.0299         | 0.7748          | 0.0301              | 9     |
  | 0.5942     | 0.0305         | 0.7201          | 0.0304              | 10    |
  | 0.5151     | 0.0309         | 0.6675          | 0.0307              | 11    |
  | 0.4496     | 0.0314         | 0.6382          | 0.0308              | 12    |
  | 0.3951     | 0.0318         | 0.6060          | 0.0310              | 13    |
  | 0.3473     | 0.0321         | 0.5945          | 0.0311              | 14    |
  | 0.3053     | 0.0324         | 0.5752          | 0.0312              | 15    |
  | 0.2684     | 0.0327         | 0.5700          | 0.0313              | 16    |
  | 0.2355     | 0.0330         | 0.5651          | 0.0313              | 17    |
  | 0.2065     | 0.0332         | 0.5619          | 0.0313              | 18    |
  | 0.1785     | 0.0334         | 0.5522          | 0.0314              | 19    |
  | 0.1535     | 0.0337         | 0.5609          | 0.0313              | 20    |
  | 0.1310     | 0.0339         | 0.5590          | 0.0314              | 21    |
  | 0.1115     | 0.0340         | 0.5695          | 0.0313              | 22    |
  | 0.0951     | 0.0342         | 0.5723          | 0.0314              | 23    |
  | 0.0787     | 0.0343         | 0.5796          | 0.0314              | 24    |
  | 0.0649     | 0.0344         | 0.5967          | 0.0313              | 25    |
  | 0.0539     | 0.0345         | 0.6019          | 0.0313              | 26    |
  | 0.0441     | 0.0346         | 0.6113          | 0.0313              | 27    |
  | 0.0364     | 0.0346         | 0.6110          | 0.0314              | 28    |
  | 0.0287     | 0.0346         | 0.6219          | 0.0314              | 29    |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - TensorFlow 2.9.2
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  