readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - sede
  model-index:
  - name: t5-base-sede-txt2sql
    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-base-sede-txt2sql
  
  This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the sede dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1577
  - Bleu Score: 0.5923
  - Parsable Queries Accuracy: 0.0
  - Partial Match F1: 0.0
  - Partial Match F1 No Values: 0.0
  - Partial Match Em: 0.0
  - Partial Match No Values Em: 0.0
  
  ## 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: 2e-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: 100
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Parsable Queries Accuracy | Partial Match F1 | Partial Match F1 No Values | Partial Match Em | Partial Match No Values Em |
  |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------------------------:|:----------------:|:--------------------------:|:----------------:|:--------------------------:|
  | No log        | 1.0   | 95   | 13.2410         | 0.0069     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | No log        | 2.0   | 190  | 7.6317          | 0.0134     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | No log        | 3.0   | 285  | 6.0919          | 0.0058     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | No log        | 4.0   | 380  | 5.4922          | 0.0021     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | No log        | 5.0   | 475  | 4.7151          | 0.0009     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 12.0698       | 6.0   | 570  | 4.1412          | 0.0003     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 12.0698       | 7.0   | 665  | 3.6398          | 0.0003     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 12.0698       | 8.0   | 760  | 3.2643          | 0.0009     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 12.0698       | 9.0   | 855  | 3.0544          | 0.0013     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 12.0698       | 10.0  | 950  | 2.8015          | 0.0043     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 4.696         | 11.0  | 1045 | 2.5552          | 0.0789     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 4.696         | 12.0  | 1140 | 2.3535          | 0.1036     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 4.696         | 13.0  | 1235 | 2.2132          | 0.0050     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 4.696         | 14.0  | 1330 | 2.1084          | 0.1333     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 4.696         | 15.0  | 1425 | 2.0117          | 0.2972     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 3.1348        | 16.0  | 1520 | 1.9333          | 0.2481     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 3.1348        | 17.0  | 1615 | 1.8395          | 0.4149     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 3.1348        | 18.0  | 1710 | 1.7661          | 0.5439     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
  | 3.1348        | 19.0  | 1805 | 1.7101         