readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: ascend_with_timit
    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. -->
  
  # ascend_with_timit
  
  This model is a fine-tuned version of [GleamEyeBeast/ascend_with_timit](https://huggingface.co/GleamEyeBeast/ascend_with_timit) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8013
  - Wer: 0.4781
  - Cer: 0.1727
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
  | 2.4026        | 1.0   | 890  | 1.3419          | 0.9083 | 0.3670 |
  | 1.1926        | 2.0   | 1780 | 0.9730          | 0.6491 | 0.2585 |
  | 0.9104        | 3.0   | 2670 | 0.8483          | 0.5368 | 0.1963 |
  | 0.7718        | 4.0   | 3560 | 0.8122          | 0.4913 | 0.1791 |
  | 0.7013        | 5.0   | 4450 | 0.8013          | 0.4781 | 0.1727 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  