readme: ---
  language:
  - vi
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Medium Vi v1 - Shiv Kumar Ganesh
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 11.0
        type: mozilla-foundation/common_voice_11_0
        config: vi
        split: test
        args: vi
      metrics:
      - name: Wer
        type: wer
        value: 34.09738977846019
  ---
  
  <!-- 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 Vi v1 - Shiv Kumar Ganesh
  
  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: 1.0641
  - Wer: 34.0974
  
  ## 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: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 7000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.0005        | 31.0  | 500  | 0.7179          | 33.7464 |
  | 0.0002        | 62.0  | 1000 | 0.7837          | 32.4742 |
  | 0.0001        | 93.0  | 1500 | 0.8267          | 34.2729 |
  | 0.0001        | 124.0 | 2000 | 0.8677          | 35.1722 |
  | 0.0           | 156.0 | 2500 | 0.9045          | 35.3257 |
  | 0.0           | 187.0 | 3000 | 0.9316          | 33.9877 |
  | 0.0           | 218.0 | 3500 | 0.9585          | 34.0097 |
  | 0.0           | 249.0 | 4000 | 0.9846          | 33.3626 |
  | 0.0           | 281.0 | 4500 | 1.0082          | 33.4832 |
  | 0.0           | 312.0 | 5000 | 1.0247          | 33.7026 |
  | 0.0           | 343.0 | 5500 | 1.0391          | 32.8691 |
  | 0.0           | 374.0 | 6000 | 1.0516          | 32.9020 |
  | 0.0           | 406.0 | 6500 | 1.0606          | 33.6477 |
  | 0.0           | 437.0 | 7000 | 1.0641          | 34.0974 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  