readme: ---
  language:
  - pt
  license: apache-2.0
  tags:
  - hf-asr-leaderboard
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Small PT with Common Voice 11
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 11.0
        type: mozilla-foundation/common_voice_11_0
        args: 'config: pt, split: test'
      metrics:
      - name: Wer
        type: wer
        value: 14.380154024398555
  ---
  
  <!-- 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 PT with Common Voice 11
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3487
  - Wer: 14.3802
  
  ## 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: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - training_steps: 10000
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.1202        | 0.88  | 1000  | 0.2225          | 15.5847 |
  | 0.1024        | 1.76  | 2000  | 0.2160          | 15.0651 |
  | 0.0832        | 2.64  | 3000  | 0.2259          | 15.0923 |
  | 0.0081        | 3.51  | 4000  | 0.2519          | 14.7345 |
  | 0.0387        | 4.39  | 5000  | 0.2718          | 14.7311 |
  | 0.0039        | 5.27  | 6000  | 0.3031          | 14.5914 |
  | 0.001         | 6.15  | 7000  | 0.3238          | 14.5710 |
  | 0.0007        | 7.03  | 8000  | 0.3285          | 14.5113 |
  | 0.0009        | 7.91  | 9000  | 0.3467          | 14.3580 |
  | 0.0008        | 8.79  | 10000 | 0.3487          | 14.3802 |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  