readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: german_pretrained
    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. -->
  
  # german_pretrained
  
  This model is a fine-tuned version of [flozi00/wav2vec-xlsr-german](https://huggingface.co/flozi00/wav2vec-xlsr-german) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.9812
  - Wer: 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: 0.0003
  - 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: 5
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 12.5229       | 5.0   | 5    | 12.9520         | 1.0 |
  | 4.3782        | 10.0  | 10   | 5.5689          | 1.0 |
  | 2.56          | 15.0  | 15   | 4.8410          | 1.0 |
  | 2.2895        | 20.0  | 20   | 4.0380          | 1.0 |
  | 1.872         | 25.0  | 25   | 3.9558          | 1.0 |
  | 1.6992        | 30.0  | 30   | 3.9812          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu102
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  