readme: ---
  tags:
  - generated_from_trainer
  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 [TingChenChang/t5-end2end-questions-generation](https://huggingface.co/TingChenChang/t5-end2end-questions-generation) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5291
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.5711        | 0.4   | 100  | 1.6119          |
  | 1.5353        | 0.8   | 200  | 1.6052          |
  | 1.502         | 1.2   | 300  | 1.6082          |
  | 1.4525        | 1.6   | 400  | 1.5918          |
  | 1.4463        | 2.0   | 500  | 1.5847          |
  | 1.3885        | 2.4   | 600  | 1.6236          |
  | 1.4029        | 2.8   | 700  | 1.5962          |
  | 1.3947        | 3.2   | 800  | 1.5932          |
  | 1.3685        | 3.6   | 900  | 1.5898          |
  | 1.3926        | 4.0   | 1000 | 1.5624          |
  | 1.4666        | 4.4   | 1100 | 1.5535          |
  | 1.4573        | 4.8   | 1200 | 1.5483          |
  | 1.4342        | 5.2   | 1300 | 1.5449          |
  | 1.4281        | 5.6   | 1400 | 1.5347          |
  | 1.4031        | 6.0   | 1500 | 1.5456          |
  | 1.375         | 6.4   | 1600 | 1.5375          |
  | 1.3867        | 6.8   | 1700 | 1.5393          |
  | 1.3763        | 7.2   | 1800 | 1.5401          |
  | 1.357         | 7.6   | 1900 | 1.5361          |
  | 1.3568        | 8.0   | 2000 | 1.5295          |
  | 1.3503        | 8.4   | 2100 | 1.5377          |
  | 1.3335        | 8.8   | 2200 | 1.5353          |
  | 1.3416        | 9.2   | 2300 | 1.5288          |
  | 1.3179        | 9.6   | 2400 | 1.5324          |
  | 1.3276        | 10.0  | 2500 | 1.5291          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu102
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  