readme: ---
  language:
  - hi
  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 Hi - Sanchit Gandhi
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 11.0
        type: mozilla-foundation/common_voice_11_0
        config: hi
        split: test
        args: 'config: hi, split: test'
      metrics:
      - name: Wer
        type: wer
        value: 65.9189029035808
  ---
  
  <!-- 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 Hi - Sanchit Gandhi
  
  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: 0.5964
  - Wer: 65.9189
  
  ## 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: 16
  - 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: 50
  - training_steps: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer      |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.9954        | 0.02  | 10   | 2.0896          | 111.0937 |
  | 1.4388        | 0.05  | 20   | 1.4497          | 106.8780 |
  | 1.0201        | 0.07  | 30   | 0.9971          | 110.6281 |
  | 0.7901        | 0.1   | 40   | 0.8241          | 80.4199  |
  | 0.6572        | 0.12  | 50   | 0.7474          | 95.7039  |
  | 0.6096        | 0.15  | 60   | 0.6896          | 85.3890  |
  | 0.5228        | 0.17  | 70   | 0.6508          | 75.9672  |
  | 0.5413        | 0.2   | 80   | 0.6219          | 67.5527  |
  | 0.5319        | 0.22  | 90   | 0.6047          | 67.7516  |
  | 0.4952        | 0.24  | 100  | 0.5964          | 65.9189  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  