readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wiselinjayajos/squad_modified_for_t5_qg
  widget:
  - text: "generate question: Python is developed by Guido Van Rossum and released in 1991.</s>"
  model-index:
  - name: t5-end2end-questions-generation
    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-end2end-questions-generation
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5789
  
  ## 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: 0.0001
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.5879        | 0.34  | 100  | 1.9133          |
  | 1.9688        | 0.68  | 200  | 1.7313          |
  | 1.8513        | 1.02  | 300  | 1.6691          |
  | 1.7459        | 1.36  | 400  | 1.6413          |
  | 1.7206        | 1.69  | 500  | 1.6200          |
  | 1.7026        | 2.03  | 600  | 1.6101          |
  | 1.6447        | 2.37  | 700  | 1.5983          |
  | 1.6402        | 2.71  | 800  | 1.5979          |
  | 1.6332        | 3.05  | 900  | 1.5924          |
  | 1.5953        | 3.39  | 1000 | 1.5877          |
  | 1.5922        | 3.73  | 1100 | 1.5854          |
  | 1.5832        | 4.07  | 1200 | 1.5830          |
  | 1.5726        | 4.41  | 1300 | 1.5799          |
  | 1.5587        | 4.75  | 1400 | 1.5789          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  