readme: ---
  language:
  - de
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-large-xlsr-53-german-cv8-dropout
    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-53-german-cv8-dropout
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - DE dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1111
  - Wer: 0.1117
  
  ## 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: 32
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.2081        | 1.0   | 6815  | 0.1784          | 0.1910 |
  | 0.1686        | 2.0   | 13630 | 0.1621          | 0.1725 |
  | 0.1515        | 3.0   | 20445 | 0.1569          | 0.1649 |
  | 0.1426        | 4.0   | 27260 | 0.1466          | 0.1681 |
  | 0.135         | 5.0   | 34075 | 0.1357          | 0.1410 |
  | 0.1093        | 6.0   | 40890 | 0.1313          | 0.1436 |
  | 0.1           | 7.0   | 47705 | 0.1242          | 0.1250 |
  | 0.0999        | 8.0   | 54520 | 0.1191          | 0.1218 |
  | 0.084         | 9.0   | 61335 | 0.1134          | 0.1164 |
  | 0.0752        | 10.0  | 68150 | 0.1111          | 0.1117 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  