readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - dutch
  - whisper-event
  metrics:
  - wer
  model-index:
  - name: whisper-small-nl
    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-nl
  
  This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3034
  - Wer: 14.5354
  
  ## 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
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 128
  - 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     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.2045        | 2.49  | 1000  | 0.3194          | 16.1628 |
  | 0.0652        | 4.97  | 2000  | 0.3425          | 16.3672 |
  | 0.0167        | 7.46  | 3000  | 0.3915          | 15.8187 |
  | 0.0064        | 9.95  | 4000  | 0.4190          | 15.7298 |
  | 0.1966        | 2.02  | 5000  | 0.3298          | 15.0881 |
  | 0.1912        | 4.04  | 6000  | 0.3266          | 14.8764 |
  | 0.1008        | 7.02  | 7000  | 0.3261          | 14.8086 |
  | 0.0899        | 9.04  | 8000  | 0.3196          | 14.6487 |
  | 0.1126        | 12.02 | 9000  | 0.3283          | 14.5894 |
  | 0.1071        | 14.04 | 10000 | 0.3034          | 14.5354 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  