readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  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 an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1110
  - Rouge2 Precision: 0.8308
  - Rouge2 Recall: 0.7395
  - Rouge2 Fmeasure: 0.7754
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.1975        | 1.0   | 4049  | 0.1602          | 0.7879           | 0.7007        | 0.7346          |
  | 0.1643        | 2.0   | 8098  | 0.1371          | 0.8068           | 0.7163        | 0.7519          |
  | 0.1501        | 3.0   | 12147 | 0.1280          | 0.8158           | 0.7246        | 0.7604          |
  | 0.1403        | 4.0   | 16196 | 0.1216          | 0.8211           | 0.7304        | 0.7661          |
  | 0.1317        | 5.0   | 20245 | 0.1176          | 0.8236           | 0.7323        | 0.7682          |
  | 0.1267        | 6.0   | 24294 | 0.1150          | 0.8263           | 0.7343        | 0.7705          |
  | 0.1271        | 7.0   | 28343 | 0.1133          | 0.8286           | 0.7371        | 0.7731          |
  | 0.1199        | 8.0   | 32392 | 0.1121          | 0.8295           | 0.7384        | 0.7743          |
  | 0.1167        | 9.0   | 36441 | 0.1111          | 0.8304           | 0.7391        | 0.775           |
  | 0.1158        | 10.0  | 40490 | 0.1110          | 0.8308           | 0.7395        | 0.7754          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.13.1
  