readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - cuad
  model-index:
  - name: bert-small-finetuned-cuad-longer
    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. -->
  
  # bert-small-finetuned-cuad-longer
  
  This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the cuad dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0617
  
  ## 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: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0601        | 1.0   | 8702  | 0.0404          |
  | 0.0551        | 2.0   | 17404 | 0.0394          |
  | 0.0428        | 3.0   | 26106 | 0.0481          |
  | 0.0375        | 4.0   | 34808 | 0.0425          |
  | 0.0403        | 5.0   | 43510 | 0.0551          |
  | 0.0246        | 6.0   | 52212 | 0.0588          |
  | 0.0284        | 7.0   | 60914 | 0.0557          |
  | 0.0303        | 8.0   | 69616 | 0.0543          |
  | 0.0239        | 9.0   | 78318 | 0.0634          |
  | 0.0207        | 10.0  | 87020 | 0.0617          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  