update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7926605504587156
+      value: 0.8021406727828746
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetune_deberta_small_model
 
-This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the super_glue dataset.
+This model is a fine-tuned version of [nc33/finetune_deberta_small_model](https://huggingface.co/nc33/finetune_deberta_small_model) on the super_glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4789
-- Accuracy: 0.7927
+- Loss: 0.6788
+- Accuracy: 0.8021
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6336        | 1.0   | 590  | 0.5304          | 0.7425   |
-| 0.5098        | 2.0   | 1180 | 0.4992          | 0.7807   |
-| 0.4304        | 3.0   | 1770 | 0.4789          | 0.7927   |
+| 0.3666        | 1.0   | 590  | 0.5625          | 0.8003   |
+| 0.2501        | 2.0   | 1180 | 0.6762          | 0.7976   |
+| 0.2343        | 3.0   | 1770 | 0.6788          | 0.8021   |
 
 
 ### Framework versions