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t5-text2sql_v1

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t5
text2text-generation
Generated from Trainer
text-generation-inference
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t5-text2sql_v1 / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5-text2sql_v1
    results: []

t5-text2sql_v1

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0733
  • Rouge2 Precision: 0.913
  • Rouge2 Recall: 0.4038
  • Rouge2 Fmeasure: 0.5257

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
No log 1.0 11 1.9724 0.0946 0.0257 0.0385
No log 2.0 22 1.2952 0.0925 0.0263 0.039
No log 3.0 33 0.8639 0.1083 0.0263 0.0409
No log 4.0 44 0.5684 0.2212 0.0923 0.1248
No log 5.0 55 0.3793 0.4327 0.1813 0.2445
No log 6.0 66 0.2920 0.6667 0.3112 0.4008
No log 7.0 77 0.2351 0.7234 0.309 0.409
No log 8.0 88 0.2055 0.7374 0.3117 0.414
No log 9.0 99 0.1787 0.7306 0.3002 0.4029
No log 10.0 110 0.1540 0.7773 0.3267 0.4352
No log 11.0 121 0.1406 0.7676 0.319 0.4246
No log 12.0 132 0.1299 0.8478 0.3723 0.4887
No log 13.0 143 0.1172 0.8202 0.3533 0.4675
No log 14.0 154 0.1133 0.8543 0.3802 0.4976
No log 15.0 165 0.1049 0.8543 0.3802 0.4976
No log 16.0 176 0.0988 0.8252 0.3448 0.4603
No log 17.0 187 0.0921 0.8702 0.385 0.5037
No log 18.0 198 0.0877 0.8591 0.3684 0.4878
No log 19.0 209 0.0878 0.8591 0.3654 0.4849
No log 20.0 220 0.0849 0.8591 0.3654 0.4849
No log 21.0 231 0.0806 0.882 0.3761 0.4974
No log 22.0 242 0.0791 0.9232 0.4083 0.532
No log 23.0 253 0.0794 0.8974 0.3869 0.5098
No log 24.0 264 0.0773 0.9198 0.4104 0.5338
No log 25.0 275 0.0744 0.9232 0.4083 0.532
No log 26.0 286 0.0735 0.9232 0.4083 0.532
No log 27.0 297 0.0742 0.9272 0.4115 0.5359
No log 28.0 308 0.0740 0.913 0.4038 0.5257
No log 29.0 319 0.0734 0.913 0.4038 0.5257
No log 30.0 330 0.0733 0.913 0.4038 0.5257

Framework versions

  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1