readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-finetuned-infovqa
    results:
    - task:
        name: Question Answering
        type: question-answering
  ---
  
  <!-- 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. -->
  
  # bert-base-uncased-finetuned-infovqa
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.8276
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.2765        | 0.23  | 1000 | 3.0678          |
  | 2.9987        | 0.46  | 2000 | 2.9525          |
  | 2.826         | 0.69  | 3000 | 2.7870          |
  | 2.7084        | 0.93  | 4000 | 2.7051          |
  | 2.1286        | 1.16  | 5000 | 2.9286          |
  | 2.0009        | 1.39  | 6000 | 3.1037          |
  | 2.0323        | 1.62  | 7000 | 2.8567          |
  | 1.9905        | 1.85  | 8000 | 2.8276          |
  
  
  ### Framework versions
  
  - Transformers 4.10.0
  - Pytorch 1.8.0+cu101
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  