readme: ---
  language:
  - id
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - google/fleurs
  - indonesian-nlp/librivox-indonesia
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  - cer
  model-index:
  - name: Whisper Medium ID - FLEURS-CV-LBV - Augmented
    results:
    - task:
        type: automatic-speech-recognition
        name: Automatic Speech Recognition
      dataset:
        name: google/fleurs
        type: google/fleurs
        config: id_id
        split: test
      metrics:
      - type: wer
        value: 7.17
        name: WER
      - type: cer
        value: 2.39
        name: CER
    - task:
        type: automatic-speech-recognition
        name: Automatic Speech Recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0
        type: mozilla-foundation/common_voice_11_0
        config: id
        split: test
      metrics:
      - type: wer
        value: 7.59
        name: WER
      - type: cer
        value: 2.33
        name: CER
    - task:
        type: automatic-speech-recognition
        name: Automatic Speech Recognition
      dataset:
        name: indonesian-nlp/librivox-indonesia
        type: indonesian-nlp/librivox-indonesia
        config: ind
        split: test
      metrics:
      - type: wer
        value: 6.07
        name: WER
      - type: cer
        value: 1.84
        name: CER
  ---
  
  <!-- 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 ID - FLEURS-CV-LBV - Augmented
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the following datasets:
  - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0)
  - [google/fleurs](https://huggingface.co/datasets/google/fleurs)
  - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia)
  
  It achieves the following results on the evaluation set (Common Voice 11.0):
  - Loss: 0.2788
  - Wer: 7.6132
  - Cer: 2.3332
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  Training:
  - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (train+validation)
  - [google/fleurs](https://huggingface.co/datasets/google/fleurs) (train+validation)
  - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) (train)
  
  Evaluation:
  - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (test)
  - [google/fleurs](https://huggingface.co/datasets/google/fleurs) (test)
  - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) (test)
  
  ## Training procedure
  
  Datasets were augmented on-the-fly using [audiomentations](https://github.com/iver56/audiomentations) via PitchShift, AddGaussianNoise and TimeStretch transformations at `p=0.3`.
  
  ### 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: 10000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
  | 0.3002        | 1.9   | 1000  | 0.1659          | 8.1850 | 2.5333 |
  | 0.0514        | 3.8   | 2000  | 0.1818          | 8.0559 | 2.5244 |
  | 0.0145        | 5.7   | 3000  | 0.2150          | 7.8945 | 2.5281 |
  | 0.0037        | 7.6   | 4000  | 0.2248          | 7.7100 | 2.3738 |
  | 0.0016        | 9.51  | 5000  | 0.2402          | 7.6224 | 2.3591 |
  | 0.0009        | 11.41 | 6000  | 0.2525          | 7.7654 | 2.3952 |
  | 0.0005        | 13.31 | 7000  | 0.2609          | 7.5994 | 2.3487 |
  | 0.0008        | 15.21 | 8000  | 0.2682          | 7.5855 | 2.3347 |
  | 0.0002        | 17.11 | 9000  | 0.2756          | 7.6178 | 2.3288 |
  | 0.0002        | 19.01 | 10000 | 0.2788          | 7.6132 | 2.3332 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  