Calam1
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t5-small-finetuned-wikisql

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

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Calam1 commited on Jul 7, 2023

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update model card README.md

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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1246
-- Rouge2 Precision: 0.8183
-- Rouge2 Recall: 0.726
-- Rouge2 Fmeasure: 0.7622
 ## Model description
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
 | 0.1953        | 1.0   | 4049  | 0.1574          | 0.7939           | 0.7035        | 0.739           |
-| 0.1644        | 2.0   | 8098  | 0.1375          | 0.8082           | 0.7167        | 0.7526          |
-| 0.1517        | 3.0   | 12147 | 0.1296          | 0.8141           | 0.7221        | 0.7583          |
-| 0.146         | 4.0   | 16196 | 0.1256          | 0.8171           | 0.7252        | 0.7613          |
-| 0.1413        | 5.0   | 20245 | 0.1246          | 0.8183           | 0.726         | 0.7622          |
 ### Framework versions

 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1246
+- Rouge2 Precision: 0.8182
+- Rouge2 Recall: 0.7261
+- Rouge2 Fmeasure: 0.7623
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
 | 0.1953        | 1.0   | 4049  | 0.1574          | 0.7939           | 0.7035        | 0.739           |
+| 0.1644        | 2.0   | 8098  | 0.1375          | 0.8082           | 0.7167        | 0.7527          |
+| 0.1517        | 3.0   | 12147 | 0.1296          | 0.8141           | 0.7223        | 0.7584          |
+| 0.146         | 4.0   | 16196 | 0.1256          | 0.817            | 0.7253        | 0.7613          |
+| 0.1413        | 5.0   | 20245 | 0.1246          | 0.8182           | 0.7261        | 0.7623          |
 ### Framework versions