readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: nick_asr_LID
    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. -->
  
  # nick_asr_LID
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Wer: 1.0
  - Cer: 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: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 12
  - total_train_batch_size: 24
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | 50.7955       | 1.0   | 458  | 54.9678         | 1.0    | 1.0    |
  | 29.3958       | 2.0   | 916  | 37.1618         | 0.9928 | 0.9887 |
  | 27.1413       | 3.0   | 1374 | 32.5933         | 0.9856 | 0.9854 |
  | 24.0847       | 4.0   | 1832 | 34.2804         | 0.9784 | 0.9447 |
  | 492.7757      | 5.0   | 2290 | nan             | 0.9736 | 0.9428 |
  | 0.0           | 6.0   | 2748 | nan             | 1.0    | 1.0    |
  | 0.0           | 7.0   | 3206 | nan             | 1.0    | 1.0    |
  | 0.0           | 8.0   | 3664 | nan             | 1.0    | 1.0    |
  | 0.0           | 9.0   | 4122 | nan             | 1.0    | 1.0    |
  | 0.0           | 10.0  | 4580 | nan             | 1.0    | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  