readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-burak-v2.4-large
    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-burak-v2.4-large
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6419
  - Wer: 0.4358
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 4.8354        | 3.51  | 400  | 3.0971          | 1.0    |
  | 1.4155        | 7.02  | 800  | 0.6770          | 0.6790 |
  | 0.4583        | 10.52 | 1200 | 0.6025          | 0.5591 |
  | 0.3014        | 14.03 | 1600 | 0.6563          | 0.5150 |
  | 0.2231        | 17.54 | 2000 | 0.6393          | 0.4892 |
  | 0.1738        | 21.05 | 2400 | 0.6653          | 0.4677 |
  | 0.1451        | 24.56 | 2800 | 0.6167          | 0.4428 |
  | 0.1277        | 28.07 | 3200 | 0.6419          | 0.4358 |
  
  
  ### Framework versions
  
  - Transformers 4.21.3
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  