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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: 0.2037
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- - Rouge2 Precision: 0.8622
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- - Rouge2 Recall: 0.3895
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- - Rouge2 Fmeasure: 0.5158
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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 | 1.0411 | 0.1107 | 0.0324 | 0.0483 |
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- | No log | 2.0 | 22 | 0.7306 | 0.3176 | 0.132 | 0.1803 |
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- | No log | 3.0 | 33 | 0.5673 | 0.5279 | 0.243 | 0.3215 |
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- | No log | 4.0 | 44 | 0.4535 | 0.7171 | 0.3205 | 0.4264 |
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- | No log | 5.0 | 55 | 0.3911 | 0.7334 | 0.3252 | 0.4335 |
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- | No log | 6.0 | 66 | 0.3657 | 0.7668 | 0.3432 | 0.4565 |
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- | No log | 7.0 | 77 | 0.3265 | 0.7596 | 0.333 | 0.4445 |
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- | No log | 8.0 | 88 | 0.2986 | 0.8095 | 0.3576 | 0.477 |
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- | No log | 9.0 | 99 | 0.2798 | 0.805 | 0.3624 | 0.4818 |
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- | No log | 10.0 | 110 | 0.2619 | 0.8206 | 0.3663 | 0.4879 |
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- | No log | 11.0 | 121 | 0.2454 | 0.8194 | 0.3663 | 0.4878 |
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- | No log | 12.0 | 132 | 0.2379 | 0.8274 | 0.3706 | 0.493 |
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- | No log | 13.0 | 143 | 0.2292 | 0.8359 | 0.3768 | 0.5008 |
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- | No log | 14.0 | 154 | 0.2241 | 0.8707 | 0.3994 | 0.5261 |
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- | No log | 15.0 | 165 | 0.2208 | 0.8618 | 0.3882 | 0.5142 |
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- | No log | 16.0 | 176 | 0.2150 | 0.8618 | 0.3882 | 0.5142 |
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- | No log | 17.0 | 187 | 0.2099 | 0.8618 | 0.3882 | 0.5142 |
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- | No log | 18.0 | 198 | 0.2068 | 0.8622 | 0.3895 | 0.5158 |
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- | No log | 19.0 | 209 | 0.2042 | 0.8622 | 0.3895 | 0.5158 |
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- | No log | 20.0 | 220 | 0.2037 | 0.8622 | 0.3895 | 0.5158 |
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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: 0.2541
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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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  | 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