readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - qg_squad
  model-index:
  - name: t5-small-finetuned-qgsquad-qgen
    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-small-finetuned-qgsquad-qgen
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the qg_squad dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4039
  - Rouge4 Precision: 0.0931
  - Rouge4 Recall: 0.0834
  - Rouge4 Fmeasure: 0.0843
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge4 Precision | Rouge4 Recall | Rouge4 Fmeasure |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.4325        | 1.0   | 4733  | 0.3960          | 0.0984           | 0.0867        | 0.0889          |
  | 0.4137        | 2.0   | 9466  | 0.3863          | 0.1061           | 0.0946        | 0.0963          |
  | 0.3914        | 3.0   | 14199 | 0.3806          | 0.1051           | 0.0938        | 0.0955          |
  | 0.3946        | 4.0   | 18932 | 0.3786          | 0.1084           | 0.097         | 0.0986          |
  | 0.3857        | 5.0   | 23665 | 0.3784          | 0.1101           | 0.0991        | 0.1007          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  