FYP19
/

t5-small-finetuned-sql3

Text2Text Generation

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text-generation-inference

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FYP19 commited on Jun 3, 2023

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@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1327
-- Rouge2 Precision: 0.5324
-- Rouge2 Recall: 0.3365
-- Rouge2 Fmeasure: 0.3854
 ## Model description
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| No log        | 1.0   | 438  | 0.1740          | 0.4579           | 0.2878        | 0.3286          |
-| 0.29          | 2.0   | 876  | 0.1478          | 0.5047           | 0.3177        | 0.3643          |
-| 0.1503        | 3.0   | 1314 | 0.1381          | 0.5218           | 0.3263        | 0.3754          |
-| 0.1271        | 4.0   | 1752 | 0.1343          | 0.5151           | 0.3299        | 0.3749          |
-| 0.1153        | 5.0   | 2190 | 0.1327          | 0.5324           | 0.3365        | 0.3854          |
 ### Framework versions
-- Transformers 4.26.1
-- Pytorch 1.13.1+cu116
-- Datasets 2.10.0
-- Tokenizers 0.13.2

 This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1333
+- Rouge2 Precision: 0.5318
+- Rouge2 Recall: 0.3371
+- Rouge2 Fmeasure: 0.3859
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| No log        | 1.0   | 438  | 0.1740          | 0.455            | 0.2876        | 0.3275          |
+| 0.2895        | 2.0   | 876  | 0.1479          | 0.5068           | 0.3184        | 0.3652          |
+| 0.1504        | 3.0   | 1314 | 0.1387          | 0.5213           | 0.3234        | 0.373           |
+| 0.1275        | 4.0   | 1752 | 0.1349          | 0.5219           | 0.3334        | 0.3796          |
+| 0.1158        | 5.0   | 2190 | 0.1333          | 0.5318           | 0.3371        | 0.3859          |
 ### Framework versions
+- Transformers 4.28.0
+- Pytorch 1.11.0+cu102
+- Datasets 2.12.0
+- Tokenizers 0.13.3