update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6931407942238267
+      value: 0.703971119133574
 ---
 
 <!-- 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: 1.0635
-- Accuracy: 0.6931
+- Loss: 2.6688
+- Accuracy: 0.7040
 
 ## Model description
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 311  | 0.6995          | 0.4765   |
-| 0.7138        | 2.0   | 622  | 0.6743          | 0.5812   |
-| 0.7138        | 3.0   | 933  | 0.5930          | 0.6823   |
-| 0.6041        | 4.0   | 1244 | 0.8238          | 0.6606   |
-| 0.3476        | 5.0   | 1555 | 1.0635          | 0.6931   |
+| No log        | 1.0   | 311  | 0.9695          | 0.6859   |
+| 0.315         | 2.0   | 622  | 2.2516          | 0.6498   |
+| 0.315         | 3.0   | 933  | 2.0439          | 0.7076   |
+| 0.1096        | 4.0   | 1244 | 2.5190          | 0.7040   |
+| 0.0368        | 5.0   | 1555 | 2.6688          | 0.7040   |
 
 
 ### Framework versions