readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - squad_modified_for_t5_qg
  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: 1.5679
  
  ## 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: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.5866        | 0.34  | 100  | 1.9116          |
  | 1.9674        | 0.68  | 200  | 1.7280          |
  | 1.8487        | 1.02  | 300  | 1.6650          |
  | 1.7429        | 1.36  | 400  | 1.6400          |
  | 1.7148        | 1.69  | 500  | 1.6214          |
  | 1.695         | 2.03  | 600  | 1.6076          |
  | 1.6321        | 2.37  | 700  | 1.5979          |
  | 1.6276        | 2.71  | 800  | 1.5910          |
  | 1.6171        | 3.05  | 900  | 1.5875          |
  | 1.5712        | 3.39  | 1000 | 1.5898          |
  | 1.5702        | 3.73  | 1100 | 1.5749          |
  | 1.5594        | 4.07  | 1200 | 1.5798          |
  | 1.5352        | 4.41  | 1300 | 1.5733          |
  | 1.5228        | 4.75  | 1400 | 1.5733          |
  | 1.524         | 5.08  | 1500 | 1.5727          |
  | 1.4954        | 5.42  | 1600 | 1.5699          |
  | 1.4866        | 5.76  | 1700 | 1.5696          |
  | 1.5089        | 6.1   | 1800 | 1.5696          |
  | 1.4771        | 6.44  | 1900 | 1.5736          |
  | 1.4772        | 6.78  | 2000 | 1.5679          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  