readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base_toy_train_data_random_high_pass
    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-base_toy_train_data_random_high_pass
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2841
  - Wer: 0.7222
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.061         | 2.1   | 500  | 3.0551          | 1.0    |
  | 1.1294        | 4.2   | 1000 | 1.3102          | 0.8777 |
  | 0.7051        | 6.3   | 1500 | 1.2081          | 0.8092 |
  | 0.5421        | 8.4   | 2000 | 1.2280          | 0.7684 |
  | 0.448         | 10.5  | 2500 | 1.2459          | 0.7506 |
  | 0.3777        | 12.6  | 3000 | 1.3533          | 0.7631 |
  | 0.3611        | 14.7  | 3500 | 1.2058          | 0.7291 |
  | 0.3177        | 16.81 | 4000 | 1.3168          | 0.7185 |
  | 0.279         | 18.91 | 4500 | 1.2841          | 0.7222 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  