readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: model
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # model
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.0046
  - Wer: 116.8945
  
  ## 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:
  - learning_rate: 1e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 8000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer      |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.5232        | 4.95  | 1000 | 3.6227          | 127.2695 |
  | 0.0538        | 9.9   | 2000 | 4.3761          | 125.3417 |
  | 0.0166        | 14.85 | 3000 | 4.6306          | 114.6863 |
  | 0.0008        | 19.8  | 4000 | 4.7625          | 116.3687 |
  | 0.0022        | 24.75 | 5000 | 4.9290          | 116.0182 |
  | 0.0002        | 29.7  | 6000 | 4.9100          | 118.2264 |
  | 0.0001        | 34.65 | 7000 | 4.9886          | 116.5089 |
  | 0.0001        | 39.6  | 8000 | 5.0046          | 116.8945 |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.0+cu116
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  