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t5-text2sql

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t5
text2text-generation
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text-generation-inference
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update model card README.md

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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:
@@ -12,12 +11,12 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0875
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- - Rouge2 Precision: 0.9048
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- - Rouge2 Recall: 0.2724
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- - Rouge2 Fmeasure: 0.3858
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  ## Model description
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@@ -48,36 +47,36 @@ The following hyperparameters were used during training:
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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 | 0.8173 | 0.0196 | 0.0025 | 0.0045 |
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- | No log | 2.0 | 22 | 0.4331 | 0.2234 | 0.0563 | 0.086 |
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- | No log | 3.0 | 33 | 0.2645 | 0.6389 | 0.2267 | 0.3106 |
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- | No log | 4.0 | 44 | 0.2033 | 0.7816 | 0.2501 | 0.3482 |
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- | No log | 5.0 | 55 | 0.1722 | 0.7949 | 0.247 | 0.3466 |
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- | No log | 6.0 | 66 | 0.1518 | 0.7744 | 0.2423 | 0.3392 |
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- | No log | 7.0 | 77 | 0.1371 | 0.8029 | 0.2409 | 0.3415 |
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- | No log | 8.0 | 88 | 0.1296 | 0.8235 | 0.2594 | 0.3643 |
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- | No log | 9.0 | 99 | 0.1202 | 0.8571 | 0.2628 | 0.3707 |
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- | No log | 10.0 | 110 | 0.1163 | 0.8671 | 0.2647 | 0.373 |
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- | No log | 11.0 | 121 | 0.1108 | 0.8849 | 0.2676 | 0.3771 |
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- | No log | 12.0 | 132 | 0.1063 | 0.8606 | 0.2436 | 0.3519 |
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- | No log | 13.0 | 143 | 0.1026 | 0.8669 | 0.2423 | 0.3519 |
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- | No log | 14.0 | 154 | 0.1024 | 0.8574 | 0.2402 | 0.3484 |
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- | No log | 15.0 | 165 | 0.0994 | 0.8535 | 0.2391 | 0.3471 |
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- | No log | 16.0 | 176 | 0.0984 | 0.8849 | 0.2657 | 0.375 |
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- | No log | 17.0 | 187 | 0.0971 | 0.9008 | 0.2705 | 0.3836 |
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- | No log | 18.0 | 198 | 0.0910 | 0.9008 | 0.2705 | 0.3836 |
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- | No log | 19.0 | 209 | 0.0892 | 0.8645 | 0.2444 | 0.3524 |
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- | No log | 20.0 | 220 | 0.0922 | 0.875 | 0.2529 | 0.3632 |
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- | No log | 21.0 | 231 | 0.0907 | 0.877 | 0.2495 | 0.3606 |
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- | No log | 22.0 | 242 | 0.0922 | 0.9048 | 0.2724 | 0.3858 |
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- | No log | 23.0 | 253 | 0.0919 | 0.9048 | 0.2724 | 0.3858 |
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- | No log | 24.0 | 264 | 0.0909 | 0.877 | 0.2495 | 0.3606 |
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- | No log | 25.0 | 275 | 0.0883 | 0.881 | 0.2504 | 0.362 |
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- | No log | 26.0 | 286 | 0.0884 | 0.877 | 0.2495 | 0.3606 |
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- | No log | 27.0 | 297 | 0.0889 | 0.877 | 0.2495 | 0.3606 |
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- | No log | 28.0 | 308 | 0.0882 | 0.9048 | 0.2724 | 0.3858 |
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- | No log | 29.0 | 319 | 0.0874 | 0.9048 | 0.2724 | 0.3858 |
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- | No log | 30.0 | 330 | 0.0875 | 0.9048 | 0.2724 | 0.3858 |
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  ### Framework versions
 
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  ---
 
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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 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