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t5-text2sql_v1

Text2Text Generation
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PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
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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_v1
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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: 0.1192
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- - Rouge2 Precision: 0.7957
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- - Rouge2 Recall: 0.1732
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- - Rouge2 Fmeasure: 0.2797
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  ## Model description
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@@ -47,36 +48,36 @@ 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 | 68 | 0.4893 | 0.5045 | 0.1277 | 0.2011 |
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- | No log | 2.0 | 136 | 0.3149 | 0.6629 | 0.1483 | 0.2391 |
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- | No log | 3.0 | 204 | 0.2463 | 0.7023 | 0.1501 | 0.2438 |
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- | No log | 4.0 | 272 | 0.2131 | 0.7077 | 0.1542 | 0.2491 |
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- | No log | 5.0 | 340 | 0.1964 | 0.7246 | 0.1572 | 0.254 |
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- | No log | 6.0 | 408 | 0.1819 | 0.7362 | 0.1582 | 0.2563 |
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- | No log | 7.0 | 476 | 0.1662 | 0.729 | 0.1588 | 0.2565 |
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- | 0.4062 | 8.0 | 544 | 0.1628 | 0.7666 | 0.166 | 0.2683 |
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- | 0.4062 | 9.0 | 612 | 0.1565 | 0.7486 | 0.1625 | 0.2625 |
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- | 0.4062 | 10.0 | 680 | 0.1522 | 0.756 | 0.1652 | 0.2667 |
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- | 0.4062 | 11.0 | 748 | 0.1436 | 0.741 | 0.1584 | 0.2574 |
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- | 0.4062 | 12.0 | 816 | 0.1450 | 0.7478 | 0.1624 | 0.2627 |
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- | 0.4062 | 13.0 | 884 | 0.1369 | 0.7563 | 0.1672 | 0.2696 |
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- | 0.4062 | 14.0 | 952 | 0.1356 | 0.7508 | 0.163 | 0.2638 |
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- | 0.128 | 15.0 | 1020 | 0.1318 | 0.7606 | 0.1645 | 0.2669 |
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- | 0.128 | 16.0 | 1088 | 0.1325 | 0.7805 | 0.1715 | 0.2768 |
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- | 0.128 | 17.0 | 1156 | 0.1273 | 0.7742 | 0.1688 | 0.2727 |
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- | 0.128 | 18.0 | 1224 | 0.1265 | 0.7842 | 0.1716 | 0.2771 |
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- | 0.128 | 19.0 | 1292 | 0.1264 | 0.7787 | 0.1696 | 0.2741 |
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- | 0.128 | 20.0 | 1360 | 0.1247 | 0.7856 | 0.172 | 0.2776 |
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- | 0.128 | 21.0 | 1428 | 0.1237 | 0.7754 | 0.1688 | 0.2734 |
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- | 0.128 | 22.0 | 1496 | 0.1226 | 0.7835 | 0.1697 | 0.2747 |
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- | 0.0903 | 23.0 | 1564 | 0.1225 | 0.78 | 0.1683 | 0.2725 |
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- | 0.0903 | 24.0 | 1632 | 0.1207 | 0.7824 | 0.17 | 0.2753 |
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- | 0.0903 | 25.0 | 1700 | 0.1208 | 0.7864 | 0.1702 | 0.2756 |
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- | 0.0903 | 26.0 | 1768 | 0.1206 | 0.7885 | 0.1722 | 0.2783 |
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- | 0.0903 | 27.0 | 1836 | 0.1189 | 0.788 | 0.1719 | 0.2778 |
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- | 0.0903 | 28.0 | 1904 | 0.1199 | 0.8001 | 0.1742 | 0.2814 |
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- | 0.0903 | 29.0 | 1972 | 0.1195 | 0.7957 | 0.1732 | 0.2797 |
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- | 0.0753 | 30.0 | 2040 | 0.1192 | 0.7957 | 0.1732 | 0.2797 |
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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_v1
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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: 0.1260
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+ - Rouge2 Precision: 0.7647
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+ - Rouge2 Recall: 0.1682
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+ - Rouge2 Fmeasure: 0.2715
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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 | 0.6880 | 0.5449 | 0.1342 | 0.2115 |
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+ | No log | 2.0 | 136 | 0.3651 | 0.6371 | 0.1381 | 0.2242 |
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+ | No log | 3.0 | 204 | 0.2780 | 0.6573 | 0.143 | 0.2322 |
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+ | No log | 4.0 | 272 | 0.2347 | 0.6729 | 0.144 | 0.2342 |
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+ | No log | 5.0 | 340 | 0.2160 | 0.7186 | 0.1544 | 0.2505 |
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+ | No log | 6.0 | 408 | 0.1963 | 0.7025 | 0.1523 | 0.2465 |
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+ | No log | 7.0 | 476 | 0.1797 | 0.7246 | 0.1564 | 0.2536 |
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+ | 0.5593 | 8.0 | 544 | 0.1781 | 0.7285 | 0.1551 | 0.2521 |
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+ | 0.5593 | 9.0 | 612 | 0.1674 | 0.7353 | 0.1583 | 0.2564 |
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+ | 0.5593 | 10.0 | 680 | 0.1622 | 0.7412 | 0.1585 | 0.2572 |
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+ | 0.5593 | 11.0 | 748 | 0.1525 | 0.7274 | 0.1559 | 0.2528 |
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+ | 0.5593 | 12.0 | 816 | 0.1542 | 0.7399 | 0.158 | 0.2565 |
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+ | 0.5593 | 13.0 | 884 | 0.1462 | 0.7575 | 0.1642 | 0.2655 |
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+ | 0.5593 | 14.0 | 952 | 0.1453 | 0.7599 | 0.1632 | 0.265 |
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+ | 0.1388 | 15.0 | 1020 | 0.1415 | 0.7601 | 0.1635 | 0.2654 |
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+ | 0.1388 | 16.0 | 1088 | 0.1404 | 0.7622 | 0.1644 | 0.2663 |
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+ | 0.1388 | 17.0 | 1156 | 0.1349 | 0.7673 | 0.1646 | 0.2673 |
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+ | 0.1388 | 18.0 | 1224 | 0.1325 | 0.758 | 0.1624 | 0.264 |
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+ | 0.1388 | 19.0 | 1292 | 0.1347 | 0.7713 | 0.1691 | 0.2731 |
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+ | 0.1388 | 20.0 | 1360 | 0.1343 | 0.7664 | 0.1679 | 0.2711 |
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+ | 0.1388 | 21.0 | 1428 | 0.1333 | 0.7547 | 0.1631 | 0.2644 |
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+ | 0.1388 | 22.0 | 1496 | 0.1315 | 0.7649 | 0.1662 | 0.2687 |
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+ | 0.0973 | 23.0 | 1564 | 0.1297 | 0.7615 | 0.1659 | 0.2683 |
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+ | 0.0973 | 24.0 | 1632 | 0.1295 | 0.7588 | 0.1657 | 0.2679 |
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+ | 0.0973 | 25.0 | 1700 | 0.1289 | 0.7636 | 0.1662 | 0.2692 |
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+ | 0.0973 | 26.0 | 1768 | 0.1282 | 0.7689 | 0.1671 | 0.2705 |
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+ | 0.0973 | 27.0 | 1836 | 0.1273 | 0.7675 | 0.1684 | 0.272 |
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+ | 0.0973 | 28.0 | 1904 | 0.1270 | 0.7652 | 0.1672 | 0.2703 |
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+ | 0.0973 | 29.0 | 1972 | 0.1260 | 0.7647 | 0.1682 | 0.2715 |
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+ | 0.0813 | 30.0 | 2040 | 0.1260 | 0.7647 | 0.1682 | 0.2715 |
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  ### Framework versions