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t5-text2sql

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PyTorch
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t5
text2text-generation
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: 0.3329
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- - Rouge2 Precision: 0.9286
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- - Rouge2 Recall: 0.3749
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- - Rouge2 Fmeasure: 0.5159
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  ## Model description
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@@ -42,32 +42,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 20
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  ### Training results
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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 | 1.9239 | 0.0179 | 0.0039 | 0.0065 |
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- | No log | 2.0 | 22 | 1.0254 | 0.5905 | 0.2378 | 0.3272 |
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- | No log | 3.0 | 33 | 0.7086 | 0.8679 | 0.3524 | 0.4872 |
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- | No log | 4.0 | 44 | 0.5639 | 0.8779 | 0.348 | 0.4874 |
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- | No log | 5.0 | 55 | 0.4922 | 0.8425 | 0.3264 | 0.4583 |
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- | No log | 6.0 | 66 | 0.4356 | 0.8609 | 0.3306 | 0.4665 |
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- | No log | 7.0 | 77 | 0.4279 | 0.9338 | 0.3731 | 0.5156 |
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- | No log | 8.0 | 88 | 0.4056 | 0.9226 | 0.3752 | 0.5163 |
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- | No log | 9.0 | 99 | 0.3803 | 0.9444 | 0.3815 | 0.5255 |
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- | No log | 10.0 | 110 | 0.3655 | 0.9385 | 0.3783 | 0.5209 |
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- | No log | 11.0 | 121 | 0.3657 | 0.9385 | 0.381 | 0.5238 |
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- | No log | 12.0 | 132 | 0.3596 | 0.9544 | 0.3842 | 0.5295 |
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- | No log | 13.0 | 143 | 0.3552 | 0.9563 | 0.3828 | 0.5278 |
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- | No log | 14.0 | 154 | 0.3502 | 0.9286 | 0.3749 | 0.5159 |
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- | No log | 15.0 | 165 | 0.3496 | 0.9286 | 0.3749 | 0.5159 |
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- | No log | 16.0 | 176 | 0.3484 | 0.9246 | 0.3731 | 0.5131 |
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- | No log | 17.0 | 187 | 0.3346 | 0.9603 | 0.3842 | 0.53 |
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- | No log | 18.0 | 198 | 0.3326 | 0.9286 | 0.3749 | 0.5159 |
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- | No log | 19.0 | 209 | 0.3335 | 0.9286 | 0.3749 | 0.5159 |
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- | No log | 20.0 | 220 | 0.3329 | 0.9286 | 0.3749 | 0.5159 |
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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: 0.3872
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+ - Rouge2 Precision: 0.9167
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+ - Rouge2 Recall: 0.4191
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+ - Rouge2 Fmeasure: 0.5619
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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  ### Training results
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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 | 2.0397 | 0.0179 | 0.0033 | 0.0055 |
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+ | No log | 2.0 | 22 | 1.1572 | 0.3278 | 0.158 | 0.2048 |
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+ | No log | 3.0 | 33 | 0.8159 | 0.7687 | 0.3739 | 0.4931 |
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+ | No log | 4.0 | 44 | 0.6403 | 0.8662 | 0.4083 | 0.5439 |
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+ | No log | 5.0 | 55 | 0.5431 | 0.8654 | 0.3959 | 0.5348 |
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+ | No log | 6.0 | 66 | 0.4982 | 0.9156 | 0.4199 | 0.5638 |
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+ | No log | 7.0 | 77 | 0.4647 | 0.9008 | 0.4137 | 0.5542 |
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+ | No log | 8.0 | 88 | 0.4433 | 0.8961 | 0.4119 | 0.5527 |
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+ | No log | 9.0 | 99 | 0.4352 | 0.8929 | 0.4073 | 0.547 |
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+ | No log | 10.0 | 110 | 0.4132 | 0.9167 | 0.4191 | 0.5619 |
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+ | No log | 11.0 | 121 | 0.3973 | 0.9167 | 0.4191 | 0.5619 |
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+ | No log | 12.0 | 132 | 0.3918 | 0.9206 | 0.4227 | 0.567 |
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+ | No log | 13.0 | 143 | 0.3861 | 0.9206 | 0.4227 | 0.567 |
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+ | No log | 14.0 | 154 | 0.3869 | 0.9167 | 0.4191 | 0.5619 |
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+ | No log | 15.0 | 165 | 0.3872 | 0.9167 | 0.4191 | 0.5619 |
 
 
 
 
 
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  ### Framework versions