update model card README.md

README.md

@@ -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: 0.1333
-- Rouge2 Precision: 0.5318
-- Rouge2 Recall: 0.3371
-- Rouge2 Fmeasure: 0.3859
+- Loss: 0.1196
+- Rouge2 Precision: 0.6028
+- Rouge2 Recall: 0.386
+- Rouge2 Fmeasure: 0.4419
 
 ## 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          | 0.455            | 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          |
+| 0.1554        | 1.0   | 1313 | 0.1346          | 0.5174           | 0.3275        | 0.373           |
+| 0.0965        | 2.0   | 2626 | 0.1237          | 0.5887           | 0.3811        | 0.4349          |
+| 0.0843        | 3.0   | 3939 | 0.1203          | 0.5985           | 0.3831        | 0.4387          |
+| 0.0745        | 4.0   | 5252 | 0.1200          | 0.5999           | 0.3865        | 0.4417          |
+| 0.0718        | 5.0   | 6565 | 0.1196          | 0.6028           | 0.386         | 0.4419          |
 
 
 ### Framework versions
 
 - Transformers 4.28.0
-- Pytorch 1.11.0+cu102
+- Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3