readme: ---
  language:
  - be
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Tiny Belarusian
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0 be
        type: mozilla-foundation/common_voice_11_0
        config: be
        split: validation
        args: be
      metrics:
      - name: Wer
        type: wer
        value: 46.52014652014652
  ---
  
  <!-- 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 Belarusian
  
  Repo to test model training
  
  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 be dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4388
  - Wer: 46.5201
  
  ## 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: 0.0001
  - train_batch_size: 32
  - 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: 10
  - training_steps: 300
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 2.5366        | 0.05  | 10   | 1.5402          | 94.5055 |
  | 1.3721        | 0.1   | 20   | 1.0021          | 75.8242 |
  | 0.9921        | 0.15  | 30   | 0.8322          | 75.0916 |
  | 0.9844        | 0.2   | 40   | 0.8080          | 72.8938 |
  | 0.7071        | 0.25  | 50   | 0.7862          | 77.2894 |
  | 0.7998        | 0.3   | 60   | 0.7052          | 68.8645 |
  | 0.6935        | 0.35  | 70   | 0.6781          | 64.2857 |
  | 0.81          | 0.4   | 80   | 0.6341          | 63.5531 |
  | 0.6133        | 0.45  | 90   | 0.6083          | 62.6374 |
  | 0.6675        | 0.5   | 100  | 0.5851          | 62.8205 |
  | 0.5577        | 0.55  | 110  | 0.5651          | 59.3407 |
  | 0.6473        | 0.6   | 120  | 0.5638          | 58.0586 |
  | 0.6018        | 0.65  | 130  | 0.5434          | 53.8462 |
  | 0.5918        | 0.7   | 140  | 0.5385          | 54.9451 |
  | 0.5654        | 0.75  | 150  | 0.5200          | 58.0586 |
  | 0.587         | 0.8   | 160  | 0.4974          | 57.1429 |
  | 0.6157        | 0.85  | 170  | 0.4834          | 53.2967 |
  | 0.6803        | 0.9   | 180  | 0.4852          | 55.8608 |
  | 0.4813        | 0.95  | 190  | 0.4686          | 51.2821 |
  | 0.4952        | 1.0   | 200  | 0.4624          | 51.4652 |
  | 0.3956        | 0.03  | 210  | 0.4690          | 52.0147 |
  | 0.3719        | 0.07  | 220  | 0.4673          | 52.7473 |
  | 0.3168        | 0.1   | 230  | 0.4499          | 51.4652 |
  | 0.3582        | 0.13  | 240  | 0.4525          | 46.8864 |
  | 0.2475        | 0.17  | 250  | 0.4612          | 52.3810 |
  | 0.2988        | 0.2   | 260  | 0.4346          | 49.8168 |
  | 0.2749        | 0.23  | 270  | 0.4249          | 48.9011 |
  | 0.3368        | 0.27  | 280  | 0.4388          | 46.5201 |
  | 0.2574        | 0.3   | 290  | 0.4309          | 46.7033 |
  | 0.2921        | 0.33  | 300  | 0.4282          | 46.7033 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  