readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wikisql
  model-index:
  - name: t5-small-finetuned-wikisql-with-cols
    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-with-cols
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset using a (slightly modified) training script by [Manuel Romero](https://huggingface.co/mrm8488).
  It achieves the following results on the evaluation set:
  - Loss: 0.0282
  - Rouge2 Precision: 0.9172
  - Rouge2 Recall: 0.819
  - Rouge2 Fmeasure: 0.8578
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.0557        | 1.0   | 4049  | 0.0384          | 0.9004           | 0.8038        | 0.8417          |
  | 0.0438        | 2.0   | 8098  | 0.0323          | 0.9101           | 0.8121        | 0.8507          |
  | 0.0374        | 3.0   | 12147 | 0.0298          | 0.914            | 0.8162        | 0.8548          |
  | 0.0353        | 4.0   | 16196 | 0.0286          | 0.9169           | 0.8189        | 0.8576          |
  | 0.0343        | 5.0   | 20245 | 0.0282          | 0.9172           | 0.819         | 0.8578          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  