readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wikisql
  model-index:
  - name: T5Training
    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. -->
  
  # T5Training
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the wikisql dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0341
  - Rouge2 Precision: 0.9368
  - Rouge2 Recall: 0.8687
  - Rouge2 Fmeasure: 0.896
  
  ## 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 | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.0225        | 1.0   | 4049  | 0.0355          | 0.9325           | 0.8665        | 0.8929          |
  | 0.0182        | 2.0   | 8098  | 0.0359          | 0.9364           | 0.8682        | 0.8956          |
  | 0.016         | 3.0   | 12147 | 0.0354          | 0.9353           | 0.868         | 0.895           |
  | 0.0156        | 4.0   | 16196 | 0.0351          | 0.9366           | 0.8684        | 0.8958          |
  | 0.0177        | 5.0   | 20245 | 0.0341          | 0.9368           | 0.8687        | 0.896           |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  