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: 0.3798
  - Wer: 0.3448
  
  ## 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
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 0.92  | 100  | 3.5932          | 1.0    |
  | No log        | 1.83  | 200  | 3.0185          | 0.9999 |
  | No log        | 2.75  | 300  | 0.9357          | 0.8007 |
  | No log        | 3.67  | 400  | 0.5945          | 0.6318 |
  | 3.1829        | 4.59  | 500  | 0.4931          | 0.5265 |
  | 3.1829        | 5.5   | 600  | 0.4757          | 0.4784 |
  | 3.1829        | 6.42  | 700  | 0.4282          | 0.4540 |
  | 3.1829        | 7.34  | 800  | 0.3995          | 0.4252 |
  | 3.1829        | 8.26  | 900  | 0.4046          | 0.4149 |
  | 0.2215        | 9.17  | 1000 | 0.4048          | 0.3951 |
  | 0.2215        | 10.09 | 1100 | 0.3944          | 0.3865 |
  | 0.2215        | 11.01 | 1200 | 0.3853          | 0.3643 |
  | 0.2215        | 11.93 | 1300 | 0.3950          | 0.3632 |
  | 0.2215        | 12.84 | 1400 | 0.3836          | 0.3506 |
  | 0.1009        | 13.76 | 1500 | 0.3808          | 0.3510 |
  | 0.1009        | 14.68 | 1600 | 0.3807          | 0.3456 |
  
  
  ### Framework versions
  
  - Transformers 4.22.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  