readme: ---
  language:
  - sr
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Medium Serbian - Drishti Sharma
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 11.0
        type: mozilla-foundation/common_voice_11_0
        config: sr
        split: test
        args: sr
      metrics:
      - name: Wer
        type: wer
        value: 11.614730878186968
  ---
  
  <!-- 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 Medium Serbian - Drishti Sharma
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3873
  - Wer: 11.6147
  
  ## 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: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - training_steps: 800
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.1691        | 1.89  | 100  | 0.2398          | 13.5977 |
  | 0.0571        | 3.77  | 200  | 0.2419          | 12.7479 |
  | 0.0225        | 5.66  | 300  | 0.2869          | 12.2218 |
  | 0.0108        | 7.55  | 400  | 0.3085          | 12.2622 |
  | 0.0121        | 9.43  | 500  | 0.3478          | 11.6147 |
  | 0.0015        | 11.32 | 600  | 0.3702          | 11.5338 |
  | 0.0005        | 13.21 | 700  | 0.3839          | 11.6147 |
  | 0.0005        | 15.09 | 800  | 0.3873          | 11.6147 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  