readme: ---
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - multilingual_librispeech
  - generated_from_trainer
  datasets:
  - multilingual_librispeech
  model-index:
  - name: wav2vec2-100m-mls-german-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. -->
  
  # wav2vec2-100m-mls-german-ft
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-100m](https://huggingface.co/facebook/wav2vec2-xls-r-100m) on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.9325
  - 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: 5e-05
  - 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: 1000
  - num_epochs: 100.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 8.2135        | 14.29 | 500  | 8.4258          | 1.0 |
  | 3.0031        | 28.57 | 1000 | 2.9839          | 1.0 |
  | 2.9661        | 42.86 | 1500 | 2.9402          | 1.0 |
  | 2.9584        | 57.14 | 2000 | 2.9354          | 1.0 |
  | 2.936         | 71.43 | 2500 | 2.9341          | 1.0 |
  | 2.9344        | 85.71 | 3000 | 2.9323          | 1.0 |
  | 2.9674        | 100.0 | 3500 | 2.9325          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 1.15.2.dev0
  - Tokenizers 0.10.3
  