readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-large-xlsr-129-turkish-colab
    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-large-xlsr-129-turkish-colab
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-129](https://huggingface.co/facebook/wav2vec2-large-xlsr-129) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3149
  - Wer: 0.4748
  
  ## 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: 5e-05
  - 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: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 6.4837        | 3.67  | 400  | 3.2526          | 1.0    |
  | 3.0896        | 7.34  | 800  | 2.8037          | 1.0    |
  | 1.5604        | 11.01 | 1200 | 0.5688          | 0.6613 |
  | 0.6511        | 14.68 | 1600 | 0.3998          | 0.5580 |
  | 0.4798        | 18.35 | 2000 | 0.3505          | 0.5118 |
  | 0.4047        | 22.02 | 2400 | 0.3273          | 0.4858 |
  | 0.3519        | 25.69 | 2800 | 0.3224          | 0.4796 |
  | 0.343         | 29.36 | 3200 | 0.3149          | 0.4748 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu102
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  