readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: german_trained
    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_trained
  
  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: 3.9367
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 12.0352       | 5.0   | 5    | 12.6165         | 1.0 |
  | 4.0249        | 10.0  | 10   | 6.6453          | 1.0 |
  | 2.6661        | 15.0  | 15   | 5.7873          | 1.0 |
  | 2.4123        | 20.0  | 20   | 4.3250          | 1.0 |
  | 1.9481        | 25.0  | 25   | 3.9899          | 1.0 |
  | 1.7533        | 30.0  | 30   | 3.9367          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu102
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  