readme: ---
  language:
  - tr
  license: apache-2.0
  tags:
  - hf-asr-leaderboard
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: Base Turkish Whisper (BTW)
    results: []
  ---
  
  <!-- 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. -->
  
  # Base Turkish Whisper (BTW)
  
  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Ermetal Meetings dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0009
  - Wer: 0.0
  - Cer: 0.0
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 1000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | 1.8786        | 6.63  | 100  | 1.3510          | 0.7866 | 0.6649 |
  | 0.4559        | 13.32 | 200  | 0.3395          | 0.3590 | 0.2157 |
  | 0.0793        | 19.95 | 300  | 0.0564          | 0.0996 | 0.0531 |
  | 0.0137        | 26.63 | 400  | 0.0120          | 0.0017 | 0.0017 |
  | 0.0042        | 33.32 | 500  | 0.0032          | 0.0    | 0.0    |
  | 0.0021        | 39.95 | 600  | 0.0018          | 0.0    | 0.0    |
  | 0.0014        | 46.63 | 700  | 0.0013          | 0.0    | 0.0    |
  | 0.0012        | 53.32 | 800  | 0.0011          | 0.0    | 0.0    |
  | 0.001         | 59.95 | 900  | 0.0010          | 0.0    | 0.0    |
  | 0.001         | 66.63 | 1000 | 0.0009          | 0.0    | 0.0    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.9.1+cu111
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  