readme: ---
  tags:
  - masked-image-modeling
  - generated_from_trainer
  datasets:
  - hindawi
  model-index:
  - name: swinv2_arocr_tiny_encoder
    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. -->
  
  # swinv2_arocr_tiny_encoder
  
  This model is a fine-tuned version of [/lustre07/scratch/gagan30/arocr/models/swinv2_arocr_tiny/config.json](https://huggingface.co//lustre07/scratch/gagan30/arocr/models/swinv2_arocr_tiny/config.json) on the /lustre07/scratch/gagan30/arocr/Hindawi dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0519
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 1337
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0891        | 1.0   | 8078  | 0.0628          |
  | 0.0465        | 2.0   | 16156 | 0.0595          |
  | 0.0639        | 3.0   | 24234 | 0.0570          |
  | 0.0608        | 4.0   | 32312 | 0.0548          |
  | 0.0487        | 5.0   | 40390 | 0.0554          |
  | 0.059         | 6.0   | 48468 | 0.0533          |
  | 0.0677        | 7.0   | 56546 | 0.0525          |
  | 0.0555        | 8.0   | 64624 | 0.0521          |
  | 0.0502        | 9.0   | 72702 | 0.0520          |
  | 0.0496        | 10.0  | 80780 | 0.0519          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.12.0
  - Datasets 2.7.1
  - Tokenizers 0.11.6
  