readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-extraction-cnndm_fs0.2-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_fs0.2-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: 1.7827
  
  ## 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-06
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 1799
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.8965        | 0.11  | 200  | 2.1313          |
  | 2.2579        | 0.23  | 400  | 1.9594          |
  | 2.1421        | 0.34  | 600  | 1.9014          |
  | 2.0901        | 0.45  | 800  | 1.8741          |
  | 2.0508        | 0.56  | 1000 | 1.8498          |
  | 2.0269        | 0.68  | 1200 | 1.8394          |
  | 2.0047        | 0.79  | 1400 | 1.8227          |
  | 1.9959        | 0.9   | 1600 | 1.8085          |
  | 1.9647        | 1.02  | 1800 | 1.8007          |
  | 1.9629        | 1.13  | 2000 | 1.7903          |
  | 1.9597        | 1.24  | 2200 | 1.7853          |
  | 1.9615        | 1.36  | 2400 | 1.7827          |
  | 1.9778        | 1.47  | 2600 | 1.8071          |
  | 2.0581        | 1.58  | 2800 | 1.8804          |
  | 2.1621        | 1.69  | 3000 | 1.9792          |
  | 2.3313        | 1.81  | 3200 | 2.1481          |
  | 2.4461        | 1.92  | 3400 | 2.1995          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  