abaldaniya29
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t5-small-finetuned-wikiSQL

Text2Text Generation

Transformers

PyTorch

TensorBoard

Generated from Trainer

text-generation-inference

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abaldaniya29 commited on Oct 14, 2022

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update model card README.md

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@@ -15,9 +15,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1110
-- Rouge2 Precision: 0.8309
-- Rouge2 Recall: 0.7396
-- Rouge2 Fmeasure: 0.7755
 ## Model description
@@ -48,20 +48,20 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 0.1975        | 1.0   | 4049  | 0.1602          | 0.7881           | 0.7007        | 0.7346          |
-| 0.1643        | 2.0   | 8098  | 0.1371          | 0.807            | 0.7165        | 0.752           |
 | 0.1501        | 3.0   | 12147 | 0.1280          | 0.816            | 0.7247        | 0.7605          |
-| 0.1403        | 4.0   | 16196 | 0.1216          | 0.8213           | 0.7305        | 0.7661          |
-| 0.1317        | 5.0   | 20245 | 0.1176          | 0.8237           | 0.7325        | 0.7683          |
-| 0.1267        | 6.0   | 24294 | 0.1150          | 0.8264           | 0.7344        | 0.7706          |
-| 0.1271        | 7.0   | 28343 | 0.1133          | 0.8287           | 0.7372        | 0.7732          |
-| 0.1199        | 8.0   | 32392 | 0.1121          | 0.8296           | 0.7385        | 0.7743          |
-| 0.1167        | 9.0   | 36441 | 0.1111          | 0.8305           | 0.7392        | 0.7751          |
-| 0.1158        | 10.0  | 40490 | 0.1110          | 0.8309           | 0.7396        | 0.7755          |
 ### Framework versions
-- Transformers 4.22.1
 - Pytorch 1.12.1+cu113
-- Tokenizers 0.12.1

 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1110
+- Rouge2 Precision: 0.8308
+- Rouge2 Recall: 0.7395
+- Rouge2 Fmeasure: 0.7754
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.1975        | 1.0   | 4049  | 0.1602          | 0.788            | 0.7008        | 0.7346          |
+| 0.1643        | 2.0   | 8098  | 0.1371          | 0.8071           | 0.7164        | 0.752           |
 | 0.1501        | 3.0   | 12147 | 0.1280          | 0.816            | 0.7247        | 0.7605          |
+| 0.1403        | 4.0   | 16196 | 0.1216          | 0.8213           | 0.7305        | 0.7662          |
+| 0.1317        | 5.0   | 20245 | 0.1176          | 0.8237           | 0.7325        | 0.7684          |
+| 0.1267        | 6.0   | 24294 | 0.1150          | 0.8264           | 0.7344        | 0.7705          |
+| 0.1271        | 7.0   | 28343 | 0.1133          | 0.8286           | 0.7372        | 0.7732          |
+| 0.1199        | 8.0   | 32392 | 0.1121          | 0.8295           | 0.7384        | 0.7743          |
+| 0.1167        | 9.0   | 36441 | 0.1111          | 0.8305           | 0.7391        | 0.775           |
+| 0.1158        | 10.0  | 40490 | 0.1110          | 0.8308           | 0.7395        | 0.7754          |
 ### Framework versions
+- Transformers 4.23.1
 - Pytorch 1.12.1+cu113
+- Tokenizers 0.13.1