readme: ---
  language:
  - en
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - cuad
  model-index:
  - name: T5-base-cuad-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. -->
  
  # T5-base fine-tuned on CUAD for Legal Contract Review (via QA)
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the cuad dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2209
  
  ## 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: 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.2809        | 1.0   | 2795  | 0.2331          |
  | 0.2459        | 2.0   | 5590  | 0.2253          |
  | 0.2355        | 3.0   | 8385  | 0.2220          |
  | 0.2212        | 4.0   | 11180 | 0.2203          |
  | 0.2068        | 5.0   | 13975 | 0.2197          |
  | 0.2085        | 6.0   | 16770 | 0.2194          |
  | 0.1968        | 7.0   | 19565 | 0.2199          |
  | 0.1906        | 8.0   | 22360 | 0.2200          |
  | 0.1909        | 9.0   | 25155 | 0.2208          |
  | 0.1788        | 10.0  | 27950 | 0.2209          |
  
  
  ### Framework versions
  
  - Transformers 4.16.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  