readme: ---
  language:
  - tr
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - common_voice
  - generated_from_trainer
  - xls_r_repro_common_voice_tr
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-xls-r-100m-common_voice-tr-ft
    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-xls-r-100m-common_voice-tr-ft
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-100m](https://huggingface.co/facebook/wav2vec2-xls-r-100m) on the COMMON_VOICE - TR dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.4113
  - Wer: 1.0
  - Cer: 1.0
  
  ## 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: 0.0005
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 8
  - total_train_batch_size: 64
  - total_eval_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 50.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
  | 3.1315        | 9.09  | 500  | 3.3832          | 1.0 | 1.0 |
  | 3.1163        | 18.18 | 1000 | 3.4252          | 1.0 | 1.0 |
  | 3.121         | 27.27 | 1500 | 3.4051          | 1.0 | 1.0 |
  | 3.1273        | 36.36 | 2000 | 3.4345          | 1.0 | 1.0 |
  | 3.2257        | 45.45 | 2500 | 3.4097          | 1.0 | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 1.15.2.dev0
  - Tokenizers 0.10.3
  