readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-extraction-cnndm_fs0.1-all
    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-extraction-cnndm_fs0.1-all
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7159
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 1799
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.2503        | 0.45  | 200  | 1.8495          |
  | 1.9367        | 0.9   | 400  | 1.7930          |
  | 1.8669        | 1.35  | 600  | 1.7704          |
  | 1.8371        | 1.81  | 800  | 1.7481          |
  | 1.8051        | 2.26  | 1000 | 1.7362          |
  | 1.7843        | 2.71  | 1200 | 1.7345          |
  | 1.7669        | 3.16  | 1400 | 1.7159          |
  | 1.8786        | 3.61  | 1600 | 1.9442          |
  | 2.0554        | 4.06  | 1800 | 1.9691          |
  | 2.0521        | 4.51  | 2000 | 1.9731          |
  | 2.0579        | 4.97  | 2200 | 1.9744          |
  | 2.0514        | 5.42  | 2400 | 1.9743          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  