readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-tiny-v2
    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. -->
  
  # whisper-tiny-v2
  
  This model is a fine-tuned version of [roseman/whisper-tiny-ckb](https://huggingface.co/roseman/whisper-tiny-ckb) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0055
  - Wer: 50.9922
  
  ## 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: 4
  - eval_batch_size: 64
  - 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: 70000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.0181        | 4.0   | 10000 | 0.6723          | 54.6795 |
  | 0.0039        | 8.01  | 20000 | 0.7814          | 52.9841 |
  | 0.0025        | 12.01 | 30000 | 0.8667          | 52.7750 |
  | 0.0002        | 16.02 | 40000 | 0.9316          | 52.5431 |
  | 0.0009        | 20.02 | 50000 | 0.9454          | 51.6042 |
  | 0.0           | 24.02 | 60000 | 0.9938          | 51.0872 |
  | 0.0           | 28.03 | 70000 | 1.0055          | 50.9922 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  