readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: large_finetune_M01
    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. -->
  
  # large_finetune_M01
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9064
  - Wer: 0.5667
  
  ## 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: 75
  - num_epochs: 250
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.1813        | 25.0  | 150  | 1.6666          | 0.8667 |
  | 1.0121        | 50.0  | 300  | 1.6864          | 0.7667 |
  | 0.0471        | 75.0  | 450  | 1.1663          | 0.6333 |
  | 0.0524        | 100.0 | 600  | 1.6732          | 0.7    |
  | 0.0205        | 125.0 | 750  | 1.9236          | 0.5667 |
  | 0.0156        | 150.0 | 900  | 1.8241          | 0.5    |
  | 0.0069        | 175.0 | 1050 | 1.6829          | 0.5    |
  | 0.007         | 200.0 | 1200 | 1.9494          | 0.6    |
  | 0.0022        | 225.0 | 1350 | 2.0226          | 0.5667 |
  | 0.0017        | 250.0 | 1500 | 1.9064          | 0.5667 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.2+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  