readme: ---
  license: apache-2.0
  language: ar
  datasets:
  - AymanMansour/SDN-Dialect-Dataset
  - arbml/sudanese_dialect_speech
  - arabic_speech_corpus
  tags:
  - generated_from_trainer
  
  metrics:
  - wer 
  model-index:
  - name: openai/whisper-small
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: SDN-Dialect-Dataset
        type: AymanMansour/SDN-Dialect-Dataset
        args: 'config: hi, split: test'
      metrics:
      - name: Wer
        type: wer
        value: 56.3216
  ---
  
  <!-- 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. -->
  
  # openai/whisper-small
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5091
  - Wer: 56.3216
  
  ## 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: 64
  - 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: 500
  - training_steps: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.0157        | 13.0  | 1000 | 1.1631          | 65.9101 |
  | 0.0025        | 26.0  | 2000 | 1.3416          | 58.5066 |
  | 0.0009        | 39.01 | 3000 | 1.4238          | 56.6398 |
  | 0.0004        | 52.01 | 4000 | 1.4800          | 56.3004 |
  | 0.0002        | 65.01 | 5000 | 1.5091          | 56.3216 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  