readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: layoutlmv2-base-uncased-finetuned-vi-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-vi-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: 4.3332
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 0.33  | 100  | 5.3461          |
  | No log        | 0.66  | 200  | 4.9734          |
  | No log        | 0.99  | 300  | 4.6074          |
  | No log        | 1.32  | 400  | 4.4548          |
  | 4.6355        | 1.65  | 500  | 4.3831          |
  | 4.6355        | 1.98  | 600  | 4.3332          |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.8.0+cu101
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  