readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-xlsr-53_toy_train_data_masked_audio
    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_toy_train_data_masked_audio
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6445
  - Wer: 0.4938
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 1000
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.3761        | 1.05  | 250  | 3.4022          | 0.9954 |
  | 3.0858        | 2.1   | 500  | 3.4684          | 0.9954 |
  | 2.6302        | 3.15  | 750  | 1.7989          | 0.9865 |
  | 1.1292        | 4.2   | 1000 | 0.8558          | 0.7355 |
  | 0.8371        | 5.25  | 1250 | 0.7319          | 0.6621 |
  | 0.5992        | 6.3   | 1500 | 0.6848          | 0.6147 |
  | 0.5189        | 7.35  | 1750 | 0.6522          | 0.5742 |
  | 0.454         | 8.4   | 2000 | 0.6601          | 0.5531 |
  | 0.3896        | 9.45  | 2250 | 0.6138          | 0.5439 |
  | 0.3678        | 10.5  | 2500 | 0.6436          | 0.5320 |
  | 0.3232        | 11.55 | 2750 | 0.5920          | 0.5174 |
  | 0.2926        | 12.6  | 3000 | 0.6615          | 0.5107 |
  | 0.3041        | 13.65 | 3250 | 0.6311          | 0.5015 |
  | 0.2882        | 14.7  | 3500 | 0.6182          | 0.5004 |
  | 0.2868        | 15.75 | 3750 | 0.6266          | 0.4943 |
  | 0.2508        | 16.81 | 4000 | 0.6587          | 0.4965 |
  | 0.2563        | 17.86 | 4250 | 0.6634          | 0.4939 |
  | 0.2213        | 18.91 | 4500 | 0.6441          | 0.4925 |
  | 0.2255        | 19.96 | 4750 | 0.6445          | 0.4938 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  