readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wiki_sql
  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 wiki_sql dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1246
  - Rouge2 Precision: 0.8187
  - Rouge2 Recall: 0.7269
  - Rouge2 Fmeasure: 0.7629
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.1952        | 1.0   | 4049  | 0.1567          | 0.7948           | 0.7057        | 0.7406          |
  | 0.167         | 2.0   | 8098  | 0.1382          | 0.8092           | 0.7171        | 0.7534          |
  | 0.1517        | 3.0   | 12147 | 0.1296          | 0.8145           | 0.7228        | 0.7589          |
  | 0.1433        | 4.0   | 16196 | 0.1260          | 0.8175           | 0.7254        | 0.7617          |
  | 0.1414        | 5.0   | 20245 | 0.1246          | 0.8187           | 0.7269        | 0.7629          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  