readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: libri-alpha-0.75-Temp-1-att-take-2
    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. -->
  
  # libri-alpha-0.75-Temp-1-att-take-2
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 44.5402
  - Wer: 0.1081
  
  ## 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: 0.0002
  - 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_ratio: 0.2
  - num_epochs: 40
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 118.8957      | 0.45  | 400  | 46.1043         | 0.1056 |
  | 118.7076      | 0.9   | 800  | 44.1911         | 0.1037 |
  | 106.9074      | 1.35  | 1200 | 42.3038         | 0.1028 |
  | 107.4129      | 1.79  | 1600 | 48.0483         | 0.1030 |
  | 106.3615      | 2.24  | 2000 | 60.1421         | 0.1029 |
  | 106.3024      | 2.69  | 2400 | 48.8849         | 0.1028 |
  | 107.8432      | 3.14  | 2800 | 42.9345         | 0.1072 |
  | 107.6928      | 3.59  | 3200 | 44.5402         | 0.1081 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  