readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: libri-alpha-0.25-Temp-1-att
    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-0.25-Temp-1-att
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 41.4611
  - Wer: 0.1002
  
  ## 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: 2e-05
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 115.5029      | 0.45  | 400  | 41.6672         | 0.1012 |
  | 127.311       | 0.9   | 800  | 40.5683         | 0.1009 |
  | 118.505       | 1.35  | 1200 | 41.3756         | 0.1000 |
  | 116.651       | 1.79  | 1600 | 41.1326         | 0.0994 |
  | 121.336       | 2.24  | 2000 | 40.8370         | 0.0996 |
  | 121.9217      | 2.69  | 2400 | 41.6449         | 0.0996 |
  | 123.789       | 3.14  | 2800 | 39.4157         | 0.1003 |
  | 120.0042      | 3.59  | 3200 | 42.2503         | 0.0997 |
  | 125.504       | 4.04  | 3600 | 41.4611         | 0.1002 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  