readme: ---
  language:
  - de
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_10_0
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base-german
    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-base-german
  
  This model is a fine-tuned version of [wav2vec2-base-german](https://huggingface.co/wav2vec2-base-german) on the MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - DE dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9302
  - Wer: 0.7428
  
  ## 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: 0.0001
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 1024
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.8427        | 1.0   | 451  | 1.0878          | 0.8091 |
  | 0.722         | 2.0   | 902  | 0.9732          | 0.7593 |
  | 0.6589        | 3.0   | 1353 | 0.9302          | 0.7428 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  