readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-small-id
    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-small-id
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4034
  - Wer: 13.6494
  
  ## 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: 64
  - eval_batch_size: 32
  - 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: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.1014        | 4.95  | 500  | 0.2583          | 13.6355 |
  | 0.0058        | 9.9   | 1000 | 0.3169          | 13.2851 |
  | 0.0017        | 14.85 | 1500 | 0.3488          | 13.2251 |
  | 0.001         | 19.8  | 2000 | 0.3639          | 13.3542 |
  | 0.0007        | 24.75 | 2500 | 0.3756          | 13.5018 |
  | 0.0005        | 29.7  | 3000 | 0.3844          | 13.5617 |
  | 0.0005        | 34.65 | 3500 | 0.3922          | 13.6401 |
  | 0.0004        | 39.6  | 4000 | 0.3981          | 13.6032 |
  | 0.0003        | 44.55 | 4500 | 0.4019          | 13.6632 |
  | 0.0003        | 49.5  | 5000 | 0.4034          | 13.6494 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  