readme: ---
  license: cc-by-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: layoutlmv2-base-uncased-finetuned-infovqa
    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. -->
  
  # layoutlmv2-base-uncased-finetuned-infovqa
  
  This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0870
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 250500
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.8677        | 0.16  | 500  | 3.2829          |
  | 3.0395        | 0.33  | 1000 | 2.8431          |
  | 2.561         | 0.49  | 1500 | 2.5633          |
  | 2.41          | 0.65  | 2000 | 2.3548          |
  | 2.247         | 0.82  | 2500 | 2.2983          |
  | 2.1538        | 0.98  | 3000 | 2.2059          |
  | 1.7           | 1.14  | 3500 | 2.2006          |
  | 1.5705        | 1.31  | 4000 | 2.2736          |
  | 1.604         | 1.47  | 4500 | 2.1415          |
  | 1.5509        | 1.63  | 5000 | 2.0853          |
  | 1.5053        | 1.79  | 5500 | 2.1389          |
  | 1.4787        | 1.96  | 6000 | 2.0870          |
  
  
  ### Framework versions
  
  - Transformers 4.12.2
  - Pytorch 1.8.0+cu101
  - Datasets 1.14.0
  - Tokenizers 0.10.3
  