readme: ---
  language:
  - tr
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - common_voice
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-common_voice-tr-demo
    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. -->
  
  # wav2vec2-common_voice-tr-demo
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the COMMON_VOICE - TR dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3815
  - Wer: 0.3493
  
  ## 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: 0.0003
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - 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
  - num_epochs: 15.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.92  | 100  | 3.5559          | 1.0    |
  | No log        | 1.83  | 200  | 3.0161          | 0.9999 |
  | No log        | 2.75  | 300  | 0.8587          | 0.7443 |
  | No log        | 3.67  | 400  | 0.5855          | 0.6121 |
  | 3.1095        | 4.59  | 500  | 0.4841          | 0.5204 |
  | 3.1095        | 5.5   | 600  | 0.4533          | 0.4923 |
  | 3.1095        | 6.42  | 700  | 0.4157          | 0.4342 |
  | 3.1095        | 7.34  | 800  | 0.4304          | 0.4334 |
  | 3.1095        | 8.26  | 900  | 0.4097          | 0.4068 |
  | 0.2249        | 9.17  | 1000 | 0.4049          | 0.3881 |
  | 0.2249        | 10.09 | 1100 | 0.3993          | 0.3809 |
  | 0.2249        | 11.01 | 1200 | 0.3855          | 0.3782 |
  | 0.2249        | 11.93 | 1300 | 0.3923          | 0.3713 |
  | 0.2249        | 12.84 | 1400 | 0.3833          | 0.3591 |
  | 0.1029        | 13.76 | 1500 | 0.3811          | 0.3570 |
  | 0.1029        | 14.68 | 1600 | 0.3834          | 0.3499 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.12.0a0+2c916ef
  - Datasets 2.2.2
  - Tokenizers 0.10.3
  