readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - timit_asr
  model-index:
  - name: ascend_with_english
    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_english
  
  This model is a fine-tuned version of [GleamEyeBeast/ascend](https://huggingface.co/GleamEyeBeast/ascend) on the timit_asr dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3049
  - Wer: 0.2251
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 289  | 0.3524          | 0.3016 |
  | 0.4246        | 2.0   | 578  | 0.3132          | 0.2607 |
  | 0.4246        | 3.0   | 867  | 0.3044          | 0.2373 |
  | 0.2008        | 4.0   | 1156 | 0.3075          | 0.2302 |
  | 0.2008        | 5.0   | 1445 | 0.3049          | 0.2251 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  