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 Tiny 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: 33.24473522796974
  ---
  
  <!-- 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 Tiny PT with Common Voice 11
  
  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5205
  - Wer: 33.2447
  
  ## 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: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - training_steps: 16000
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer     |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 0.3154        | 0.44  | 1000  | 0.4987          | 36.2196 |
  | 0.3252        | 0.88  | 2000  | 0.4586          | 33.6213 |
  | 0.1989        | 1.32  | 3000  | 0.4457          | 32.7455 |
  | 0.3112        | 1.76  | 4000  | 0.4356          | 31.4097 |
  | 0.1329        | 2.2   | 5000  | 0.4348          | 31.1559 |
  | 0.1193        | 2.64  | 6000  | 0.4343          | 31.4046 |
  | 0.0723        | 3.07  | 7000  | 0.4424          | 31.5869 |
  | 0.0698        | 3.51  | 8000  | 0.4497          | 32.0827 |
  | 0.0865        | 3.95  | 9000  | 0.4497          | 31.0945 |
  | 0.0522        | 4.39  | 10000 | 0.4716          | 32.2190 |
  | 0.0542        | 4.83  | 11000 | 0.4761          | 32.6944 |
  | 0.061         | 5.27  | 12000 | 0.4983          | 32.0691 |
  | 0.0459        | 5.71  | 13000 | 0.4985          | 32.4968 |
  | 0.0338        | 6.15  | 14000 | 0.5123          | 33.3129 |
  | 0.0492        | 6.59  | 15000 | 0.5217          | 33.2686 |
  | 0.0194        | 7.03  | 16000 | 0.5205          | 33.2447 |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  