readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - hf-asr-leaderboard
  datasets:
  - common_voice, common_voice_6_1_0
  model-index:
  - name: wav2vec2-large-xls-r-300m-tr
    results: []
  language:
  - tr-TR
  ---
  
  <!-- 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-xls-r-300m-tr
  
  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: 0.2841
  - Wer: 0.2904
  
  ## 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: 3e-05
  - train_batch_size: 7
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 14
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 5.0805        | 4.03  | 1000 | 3.0333          | 1.0    |
  | 1.5733        | 8.06  | 2000 | 0.5545          | 0.5080 |
  | 0.6238        | 12.1  | 3000 | 0.3861          | 0.3977 |
  | 0.4535        | 16.13 | 4000 | 0.3253          | 0.3408 |
  | 0.3682        | 20.16 | 5000 | 0.3042          | 0.3177 |
  | 0.3302        | 24.19 | 6000 | 0.2950          | 0.3015 |
  | 0.2985        | 28.23 | 7000 | 0.2841          | 0.2904 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.10.3
  