readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - adamlin/question_augmentation
  metrics:
  - rouge
  model-index:
  - name: question-paraphraser
    results:
    - task:
        name: Summarization
        type: summarization
      dataset:
        name: adamlin/question_augmentation
        type: adamlin/question_augmentation
      metrics:
      - name: Rouge1
        type: rouge
        value: 0.5385
  ---
  
  <!-- 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. -->
  
  # question-paraphraser
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the adamlin/question_augmentation dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.5901
  - Rouge1: 0.5385
  - Rouge2: 0.0769
  - Rougel: 0.5586
  - Rougelsum: 0.5586
  - Gen Len: 7.6712
  
  ## 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: 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: 3.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.11.0
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  