readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-large-xlsr-53_toy_train_data_augmented
    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_augmented
  
  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: 0.5016
  - Wer: 0.4656
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.418         | 1.05  | 250  | 3.4171          | 1.0    |
  | 3.0886        | 2.1   | 500  | 3.4681          | 1.0    |
  | 2.9422        | 3.15  | 750  | 2.6151          | 1.0    |
  | 1.3195        | 4.2   | 1000 | 0.8789          | 0.7739 |
  | 0.9154        | 5.25  | 1250 | 0.6364          | 0.6518 |
  | 0.6519        | 6.3   | 1500 | 0.5682          | 0.5949 |
  | 0.5622        | 7.35  | 1750 | 0.5273          | 0.5625 |
  | 0.4965        | 8.4   | 2000 | 0.4891          | 0.5283 |
  | 0.4283        | 9.45  | 2250 | 0.5018          | 0.5260 |
  | 0.4019        | 10.5  | 2500 | 0.5016          | 0.5006 |
  | 0.3585        | 11.55 | 2750 | 0.5047          | 0.5003 |
  | 0.3275        | 12.6  | 3000 | 0.5148          | 0.4866 |
  | 0.3427        | 13.65 | 3250 | 0.5035          | 0.4786 |
  | 0.3229        | 14.7  | 3500 | 0.4855          | 0.4768 |
  | 0.3332        | 15.75 | 3750 | 0.5040          | 0.4769 |
  | 0.2861        | 16.81 | 4000 | 0.5138          | 0.4669 |
  | 0.3029        | 17.86 | 4250 | 0.5133          | 0.4670 |
  | 0.2633        | 18.91 | 4500 | 0.5063          | 0.4637 |
  | 0.2621        | 19.96 | 4750 | 0.5016          | 0.4656 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  