readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-finetuned-spider
    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-spider
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1914
  - Rouge2 Precision: 0.6349
  - Rouge2 Recall: 0.3964
  - Rouge2 Fmeasure: 0.4619
  
  ## 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: 5
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.2912        | 1.0   | 1120  | 0.2631          | 0.5653           | 0.3537        | 0.4118          |
  | 0.2967        | 2.0   | 2240  | 0.2465          | 0.5758           | 0.363         | 0.4209          |
  | 0.3106        | 3.0   | 3360  | 0.2372          | 0.5858           | 0.367         | 0.427           |
  | 0.2993        | 4.0   | 4480  | 0.2340          | 0.5995           | 0.3791        | 0.4403          |
  | 0.2702        | 5.0   | 5600  | 0.2204          | 0.6035           | 0.3786        | 0.4401          |
  | 0.2624        | 6.0   | 6720  | 0.2159          | 0.6094           | 0.3807        | 0.4435          |
  | 0.2463        | 7.0   | 7840  | 0.2121          | 0.6207           | 0.3911        | 0.4544          |
  | 0.2427        | 8.0   | 8960  | 0.2053          | 0.6198           | 0.3886        | 0.452           |
  | 0.2336        | 9.0   | 10080 | 0.2014          | 0.6217           | 0.3871        | 0.4518          |
  | 0.2256        | 10.0  | 11200 | 0.1980          | 0.6298           | 0.394         | 0.4589          |
  | 0.2212        | 11.0  | 12320 | 0.1960          | 0.6304           | 0.3936        | 0.4589          |
  | 0.2141        | 12.0  | 13440 | 0.1962          | 0.63             | 0.3939        | 0.4586          |
  | 0.2069        | 13.0  | 14560 | 0.1921          | 0.6328           | 0.3942        | 0.4594          |
  | 0.2096        | 14.0  | 15680 | 0.1915          | 0.632            | 0.3953        | 0.46            |
  | 0.2115        | 15.0  | 16800 | 0.1914          | 0.6349           | 0.3964        | 0.4619          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  