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abaldaniya29
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t5-small-finetuned-wikiSQL

Text2Text Generation
Transformers
PyTorch
TensorBoard
t5
Generated from Trainer
text-generation-inference
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abaldaniya29 commited on
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update model card README.md

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  1. README.md +8 -8
README.md CHANGED
@@ -48,15 +48,15 @@ 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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- | 0.1975 | 1.0 | 4049 | 0.1602 | 0.788 | 0.7008 | 0.7346 |
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- | 0.1643 | 2.0 | 8098 | 0.1371 | 0.8071 | 0.7164 | 0.752 |
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- | 0.1501 | 3.0 | 12147 | 0.1280 | 0.816 | 0.7247 | 0.7605 |
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- | 0.1403 | 4.0 | 16196 | 0.1216 | 0.8213 | 0.7305 | 0.7662 |
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- | 0.1317 | 5.0 | 20245 | 0.1176 | 0.8237 | 0.7325 | 0.7684 |
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- | 0.1267 | 6.0 | 24294 | 0.1150 | 0.8264 | 0.7344 | 0.7705 |
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- | 0.1271 | 7.0 | 28343 | 0.1133 | 0.8286 | 0.7372 | 0.7732 |
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  | 0.1199 | 8.0 | 32392 | 0.1121 | 0.8295 | 0.7384 | 0.7743 |
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- | 0.1167 | 9.0 | 36441 | 0.1111 | 0.8305 | 0.7391 | 0.775 |
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  | 0.1158 | 10.0 | 40490 | 0.1110 | 0.8308 | 0.7395 | 0.7754 |
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  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
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+ | 0.1975 | 1.0 | 4049 | 0.1602 | 0.7879 | 0.7007 | 0.7346 |
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+ | 0.1643 | 2.0 | 8098 | 0.1371 | 0.8068 | 0.7163 | 0.7519 |
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+ | 0.1501 | 3.0 | 12147 | 0.1280 | 0.8158 | 0.7246 | 0.7604 |
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+ | 0.1403 | 4.0 | 16196 | 0.1216 | 0.8211 | 0.7304 | 0.7661 |
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+ | 0.1317 | 5.0 | 20245 | 0.1176 | 0.8236 | 0.7323 | 0.7682 |
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+ | 0.1267 | 6.0 | 24294 | 0.1150 | 0.8263 | 0.7343 | 0.7705 |
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+ | 0.1271 | 7.0 | 28343 | 0.1133 | 0.8286 | 0.7371 | 0.7731 |
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  | 0.1199 | 8.0 | 32392 | 0.1121 | 0.8295 | 0.7384 | 0.7743 |
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+ | 0.1167 | 9.0 | 36441 | 0.1111 | 0.8304 | 0.7391 | 0.775 |
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  | 0.1158 | 10.0 | 40490 | 0.1110 | 0.8308 | 0.7395 | 0.7754 |
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