readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: ASR_Phimtailieu_WithLM
    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. -->
  
  # ASR_Phimtailieu_WithLM
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.5235
  - eval_wer: 0.2531
  - eval_runtime: 570.9035
  - eval_samples_per_second: 15.467
  - eval_steps_per_second: 1.934
  - epoch: 2.58
  - step: 39000
  
  ## 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: 4.42184e-05
  - train_batch_size: 4
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 25
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  