readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wikisql
  model-index:
  - name: t5-small-finetuned-wikisql
    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-wikisql
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1245
  - Rouge2 Precision: 0.8183
  - Rouge2 Recall: 0.7262
  - Rouge2 Fmeasure: 0.7625
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.1954        | 1.0   | 4049  | 0.1575          | 0.7935           | 0.7032        | 0.7386          |
  | 0.1643        | 2.0   | 8098  | 0.1374          | 0.8084           | 0.7168        | 0.7528          |
  | 0.1517        | 3.0   | 12147 | 0.1296          | 0.8136           | 0.7221        | 0.7581          |
  | 0.1459        | 4.0   | 16196 | 0.1256          | 0.817            | 0.7254        | 0.7614          |
  | 0.1414        | 5.0   | 20245 | 0.1245          | 0.8183           | 0.7262        | 0.7625          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  