readme: ---
  tags:
  - masked-image-modeling
  - generated_from_trainer
  datasets:
  - shamila
  model-index:
  - name: swinv2-base-512
    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-base-512
  
  This model was trained from scratch on the /lustre07/scratch/gagan30/arocr/Shamila dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0139
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 1337
  - distributed_type: multi-GPU
  - num_devices: 4
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 32
  - total_eval_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 0.9887        | 1.0   | 139819 | 1.0138          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1
  - Datasets 2.7.1
  - Tokenizers 0.11.6
  