readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-medium-loz
    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-medium-loz
  
  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: 2.0237
  - Wer: 38.4907
  
  ## 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: 5e-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: 4000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.2252        | 3.11  | 500  | 1.6491          | 50.4707 |
  | 0.0815        | 6.21  | 1000 | 1.8170          | 48.7246 |
  | 0.0417        | 9.32  | 1500 | 1.8765          | 43.2129 |
  | 0.0218        | 12.42 | 2000 | 1.8995          | 40.6316 |
  | 0.0062        | 15.53 | 2500 | 1.9751          | 38.6578 |
  | 0.0024        | 18.63 | 3000 | 2.0062          | 38.5667 |
  | 0.0001        | 21.74 | 3500 | 2.0141          | 38.6274 |
  | 0.0001        | 24.84 | 4000 | 2.0237          | 38.4907 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  