update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4591194968553459
+      value: 0.4528301886792453
 ---
 
 <!-- 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. -->
 
 # my_awesome_model
 
-This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the glue dataset.
+This model is a fine-tuned version of [gchhablani/fnet-base-finetuned-wnli](https://huggingface.co/gchhablani/fnet-base-finetuned-wnli) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0778
-- Accuracy: 0.4591
+- Loss: 0.7032
+- Accuracy: 0.4528
 
 ## Model description
 
@@ -63,8 +63,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 20   | 1.3644          | 0.4906   |
-| No log        | 2.0   | 40   | 1.0778          | 0.4591   |
+| No log        | 1.0   | 20   | 0.7039          | 0.4623   |
+| No log        | 2.0   | 40   | 0.7032          | 0.4528   |
 
 
 ### Framework versions