update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6823104693140795
+      value: 0.6895306859205776
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6572
-- Accuracy: 0.6823
+- Loss: 1.0656
+- Accuracy: 0.6895
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 156  | 0.6915          | 0.4946   |
-| No log        | 2.0   | 312  | 0.6029          | 0.6643   |
-| No log        | 3.0   | 468  | 0.6572          | 0.6823   |
-| 0.6058        | 4.0   | 624  | 0.7877          | 0.6751   |
-| 0.6058        | 5.0   | 780  | 0.8799          | 0.6751   |
+| No log        | 1.0   | 156  | 0.7007          | 0.4874   |
+| No log        | 2.0   | 312  | 0.6289          | 0.6751   |
+| No log        | 3.0   | 468  | 0.7020          | 0.6606   |
+| 0.6146        | 4.0   | 624  | 1.0573          | 0.6570   |
+| 0.6146        | 5.0   | 780  | 1.0656          | 0.6895   |
 
 
 ### Framework versions