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t5-text2sql_v1

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

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@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2541
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- - Rouge2 Precision: 0.8524
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- - Rouge2 Recall: 0.3329
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- - Rouge2 Fmeasure: 0.462
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  ## Model description
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@@ -48,26 +48,26 @@ 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 | 3.1289 | 0.0456 | 0.0134 | 0.0207 |
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- | No log | 2.0 | 22 | 2.0536 | 0.0472 | 0.0134 | 0.0208 |
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- | No log | 3.0 | 33 | 1.4151 | 0.0519 | 0.0149 | 0.0231 |
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- | No log | 4.0 | 44 | 0.9640 | 0.0484 | 0.0134 | 0.0209 |
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- | No log | 5.0 | 55 | 0.7020 | 0.4762 | 0.1867 | 0.2605 |
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- | No log | 6.0 | 66 | 0.5500 | 0.6708 | 0.2613 | 0.3658 |
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- | No log | 7.0 | 77 | 0.4783 | 0.7633 | 0.2985 | 0.415 |
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- | No log | 8.0 | 88 | 0.3953 | 0.8121 | 0.3085 | 0.4324 |
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- | No log | 9.0 | 99 | 0.3533 | 0.8308 | 0.3189 | 0.4461 |
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- | No log | 10.0 | 110 | 0.3330 | 0.8068 | 0.2979 | 0.4262 |
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- | No log | 11.0 | 121 | 0.3071 | 0.8378 | 0.323 | 0.4534 |
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- | No log | 12.0 | 132 | 0.2937 | 0.8218 | 0.3121 | 0.4404 |
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- | No log | 13.0 | 143 | 0.2794 | 0.8414 | 0.3305 | 0.4577 |
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- | No log | 14.0 | 154 | 0.2741 | 0.8671 | 0.336 | 0.4669 |
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- | No log | 15.0 | 165 | 0.2690 | 0.8635 | 0.337 | 0.4678 |
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- | No log | 16.0 | 176 | 0.2627 | 0.8446 | 0.3341 | 0.462 |
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- | No log | 17.0 | 187 | 0.2583 | 0.8379 | 0.3322 | 0.4589 |
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- | No log | 18.0 | 198 | 0.2563 | 0.8527 | 0.339 | 0.4684 |
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- | No log | 19.0 | 209 | 0.2544 | 0.8524 | 0.3329 | 0.462 |
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- | No log | 20.0 | 220 | 0.2541 | 0.8524 | 0.3329 | 0.462 |
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  ### Framework versions
 
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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: 0.2426
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+ - Rouge2 Precision: 0.7507
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+ - Rouge2 Recall: 0.2125
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+ - Rouge2 Fmeasure: 0.33
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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 | 68 | 0.9486 | 0.583 | 0.1837 | 0.2781 |
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+ | No log | 2.0 | 136 | 0.5544 | 0.6286 | 0.1739 | 0.2718 |
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+ | No log | 3.0 | 204 | 0.4408 | 0.6653 | 0.1854 | 0.2892 |
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+ | No log | 4.0 | 272 | 0.3656 | 0.6999 | 0.1959 | 0.3048 |
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+ | No log | 5.0 | 340 | 0.3403 | 0.7304 | 0.2022 | 0.3157 |
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+ | No log | 6.0 | 408 | 0.3162 | 0.7358 | 0.2044 | 0.3188 |
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+ | No log | 7.0 | 476 | 0.2889 | 0.7331 | 0.2033 | 0.317 |
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+ | 0.7496 | 8.0 | 544 | 0.2918 | 0.7219 | 0.2013 | 0.3137 |
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+ | 0.7496 | 9.0 | 612 | 0.2745 | 0.73 | 0.2045 | 0.3182 |
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+ | 0.7496 | 10.0 | 680 | 0.2699 | 0.7365 | 0.204 | 0.3185 |
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+ | 0.7496 | 11.0 | 748 | 0.2626 | 0.7418 | 0.2071 | 0.3228 |
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+ | 0.7496 | 12.0 | 816 | 0.2623 | 0.7316 | 0.2059 | 0.3204 |
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+ | 0.7496 | 13.0 | 884 | 0.2513 | 0.7476 | 0.21 | 0.3269 |
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+ | 0.7496 | 14.0 | 952 | 0.2507 | 0.7417 | 0.2109 | 0.3275 |
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+ | 0.2318 | 15.0 | 1020 | 0.2457 | 0.7378 | 0.2071 | 0.3224 |
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+ | 0.2318 | 16.0 | 1088 | 0.2414 | 0.7384 | 0.2077 | 0.323 |
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+ | 0.2318 | 17.0 | 1156 | 0.2420 | 0.7555 | 0.2134 | 0.3316 |
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+ | 0.2318 | 18.0 | 1224 | 0.2439 | 0.7493 | 0.2104 | 0.3273 |
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+ | 0.2318 | 19.0 | 1292 | 0.2415 | 0.7514 | 0.2121 | 0.3296 |
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+ | 0.2318 | 20.0 | 1360 | 0.2426 | 0.7507 | 0.2125 | 0.33 |
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  ### Framework versions