readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: super_large_finetune_CM01
    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. -->
  
  # super_large_finetune_CM01
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 7.2285
  - Wer: 0.7714
  
  ## 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: 0.0001
  - train_batch_size: 15
  - 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: 857
  - num_epochs: 50
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 1.0031        | 5.0   | 1715  | 1.9766          | 0.7857 |
  | 0.2107        | 10.0  | 3430  | 3.8748          | 0.8238 |
  | 0.1393        | 15.0  | 5145  | 4.7403          | 0.7952 |
  | 0.0931        | 20.0  | 6860  | 3.5077          | 0.6667 |
  | 0.0649        | 25.0  | 8575  | 7.7419          | 0.9333 |
  | 0.0592        | 30.0  | 10290 | 5.6440          | 0.7762 |
  | 0.0396        | 35.0  | 12005 | 6.9629          | 0.6810 |
  | 0.03          | 40.0  | 13720 | 7.8282          | 0.7524 |
  | 0.0191        | 45.0  | 15435 | 6.4626          | 0.7429 |
  | 0.0121        | 50.0  | 17150 | 7.2285          | 0.7714 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  