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t5-text2sql

Text2Text Generation
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PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
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update model card README.md

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  tags:
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  - generated_from_trainer
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  model-index:
@@ -11,12 +12,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-text2sql
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- This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0869
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- - Rouge2 Precision: 0.9067
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- - Rouge2 Recall: 0.2689
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- - Rouge2 Fmeasure: 0.3837
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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- | No log | 1.0 | 11 | 0.0946 | 0.8968 | 0.2675 | 0.3801 |
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- | No log | 2.0 | 22 | 0.0854 | 0.9048 | 0.2687 | 0.3837 |
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- | No log | 3.0 | 33 | 0.0900 | 0.8967 | 0.2686 | 0.3823 |
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- | No log | 4.0 | 44 | 0.0814 | 0.8948 | 0.2678 | 0.3806 |
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- | No log | 5.0 | 55 | 0.0833 | 0.9028 | 0.2679 | 0.382 |
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- | No log | 6.0 | 66 | 0.0849 | 0.9028 | 0.2679 | 0.382 |
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- | No log | 7.0 | 77 | 0.0850 | 0.8988 | 0.2673 | 0.3814 |
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- | No log | 8.0 | 88 | 0.0823 | 0.9048 | 0.2683 | 0.3828 |
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- | No log | 9.0 | 99 | 0.0795 | 0.881 | 0.2628 | 0.3735 |
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- | No log | 10.0 | 110 | 0.0835 | 0.881 | 0.2628 | 0.3735 |
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- | No log | 11.0 | 121 | 0.0900 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 12.0 | 132 | 0.0826 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 13.0 | 143 | 0.0802 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 14.0 | 154 | 0.0841 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 15.0 | 165 | 0.0869 | 0.881 | 0.2628 | 0.3735 |
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- | No log | 16.0 | 176 | 0.0825 | 0.881 | 0.2628 | 0.3735 |
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- | No log | 17.0 | 187 | 0.0837 | 0.9048 | 0.2683 | 0.3828 |
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- | No log | 18.0 | 198 | 0.0832 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 19.0 | 209 | 0.0805 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 20.0 | 220 | 0.0818 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 21.0 | 231 | 0.0841 | 0.9048 | 0.2689 | 0.3835 |
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- | No log | 22.0 | 242 | 0.0861 | 0.9067 | 0.2693 | 0.3841 |
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- | No log | 23.0 | 253 | 0.0871 | 0.9048 | 0.2683 | 0.3828 |
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- | No log | 24.0 | 264 | 0.0867 | 0.9048 | 0.2683 | 0.3828 |
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- | No log | 25.0 | 275 | 0.0871 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 26.0 | 286 | 0.0866 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 27.0 | 297 | 0.0859 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 28.0 | 308 | 0.0869 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 29.0 | 319 | 0.0869 | 0.9067 | 0.2689 | 0.3837 |
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- | No log | 30.0 | 330 | 0.0869 | 0.9067 | 0.2689 | 0.3837 |
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # t5-text2sql
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0889
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+ - Rouge2 Precision: 0.8929
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+ - Rouge2 Recall: 0.2672
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+ - Rouge2 Fmeasure: 0.3787
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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+ | No log | 1.0 | 11 | 0.8589 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 22 | 0.4345 | 0.2259 | 0.0747 | 0.1027 |
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+ | No log | 3.0 | 33 | 0.2786 | 0.572 | 0.1766 | 0.2511 |
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+ | No log | 4.0 | 44 | 0.2126 | 0.8168 | 0.2423 | 0.3432 |
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+ | No log | 5.0 | 55 | 0.1842 | 0.8435 | 0.2547 | 0.3599 |
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+ | No log | 6.0 | 66 | 0.1630 | 0.8429 | 0.2583 | 0.364 |
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+ | No log | 7.0 | 77 | 0.1462 | 0.8371 | 0.2583 | 0.3625 |
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+ | No log | 8.0 | 88 | 0.1344 | 0.8663 | 0.2666 | 0.377 |
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+ | No log | 9.0 | 99 | 0.1270 | 0.8852 | 0.2821 | 0.3916 |
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+ | No log | 10.0 | 110 | 0.1256 | 0.8587 | 0.2651 | 0.3733 |
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+ | No log | 11.0 | 121 | 0.1160 | 0.8574 | 0.2621 | 0.3696 |
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+ | No log | 12.0 | 132 | 0.1138 | 0.8695 | 0.2637 | 0.3722 |
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+ | No log | 13.0 | 143 | 0.1090 | 0.8698 | 0.2638 | 0.3736 |
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+ | No log | 14.0 | 154 | 0.1071 | 0.877 | 0.2638 | 0.3738 |
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+ | No log | 15.0 | 165 | 0.1010 | 0.8343 | 0.2494 | 0.3538 |
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+ | No log | 16.0 | 176 | 0.1004 | 0.8665 | 0.2601 | 0.3676 |
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+ | No log | 17.0 | 187 | 0.1012 | 0.8705 | 0.2608 | 0.3692 |
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+ | No log | 18.0 | 198 | 0.0975 | 0.8929 | 0.2672 | 0.3787 |
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+ | No log | 19.0 | 209 | 0.0979 | 0.9028 | 0.2808 | 0.3913 |
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+ | No log | 20.0 | 220 | 0.0971 | 0.8574 | 0.2533 | 0.3607 |
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+ | No log | 21.0 | 231 | 0.0948 | 0.849 | 0.2516 | 0.357 |
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+ | No log | 22.0 | 242 | 0.0934 | 0.8779 | 0.2614 | 0.3714 |
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+ | No log | 23.0 | 253 | 0.0944 | 0.8701 | 0.258 | 0.3663 |
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+ | No log | 24.0 | 264 | 0.0934 | 0.9127 | 0.2856 | 0.3986 |
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+ | No log | 25.0 | 275 | 0.0909 | 0.8929 | 0.2672 | 0.3787 |
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+ | No log | 26.0 | 286 | 0.0893 | 0.8929 | 0.2672 | 0.3787 |
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+ | No log | 27.0 | 297 | 0.0884 | 0.9018 | 0.2687 | 0.3806 |
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+ | No log | 28.0 | 308 | 0.0887 | 0.9018 | 0.2687 | 0.3806 |
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+ | No log | 29.0 | 319 | 0.0889 | 0.8929 | 0.2672 | 0.3787 |
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+ | No log | 30.0 | 330 | 0.0889 | 0.8929 | 0.2672 | 0.3787 |
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  ### Framework versions