readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: openai/whisper-large-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. -->
  
  # openai/whisper-large-v2
  
  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0925
  - Wer: 41.4086
  
  ## 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: 4
  - 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: 10000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.5216        | 1.04  | 1000  | 0.7054          | 58.7611 |
  | 0.0872        | 3.02  | 2000  | 0.7803          | 60.1400 |
  | 0.1073        | 4.06  | 3000  | 0.8312          | 61.0522 |
  | 0.0617        | 6.04  | 4000  | 0.8583          | 48.2181 |
  | 0.0053        | 8.02  | 5000  | 0.9135          | 41.8328 |
  | 0.0049        | 9.06  | 6000  | 0.9697          | 43.3814 |
  | 0.0044        | 11.04 | 7000  | 0.9863          | 41.9813 |
  | 0.0006        | 13.02 | 8000  | 1.0359          | 42.7662 |
  | 0.0019        | 14.06 | 9000  | 1.0714          | 41.3449 |
  | 0.0007        | 16.04 | 10000 | 1.0925          | 41.4086 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  