readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - billsum
  model-index:
  - name: t5-ft-billsum
    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-ft-billsum
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2752
  
  ## 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: 10
  - eval_batch_size: 10
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 99   | 2.6250          |
  | No log        | 2.0   | 198  | 2.4587          |
  | No log        | 3.0   | 297  | 2.3865          |
  | No log        | 4.0   | 396  | 2.3431          |
  | No log        | 5.0   | 495  | 2.3226          |
  | 2.7775        | 6.0   | 594  | 2.3019          |
  | 2.7775        | 7.0   | 693  | 2.2882          |
  | 2.7775        | 8.0   | 792  | 2.2802          |
  | 2.7775        | 9.0   | 891  | 2.2764          |
  | 2.7775        | 10.0  | 990  | 2.2752          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.6.0
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  