readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: wav2vec2-base_toy_train_data_random_low_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_low_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: 1.3227
  - Wer: 0.7288
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.0795        | 2.1   | 500  | 3.2227          | 0.9982 |
  | 1.21          | 4.2   | 1000 | 1.3713          | 0.8879 |
  | 0.742         | 6.3   | 1500 | 1.2660          | 0.8296 |
  | 0.5877        | 8.4   | 2000 | 1.2921          | 0.7794 |
  | 0.4823        | 10.5  | 2500 | 1.2899          | 0.7565 |
  | 0.4036        | 12.6  | 3000 | 1.3486          | 0.7494 |
  | 0.391         | 14.7  | 3500 | 1.2701          | 0.7466 |
  | 0.3426        | 16.81 | 4000 | 1.3570          | 0.7279 |
  | 0.3015        | 18.91 | 4500 | 1.3227          | 0.7288 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  