update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9193548387096774
+      value: 0.9158064516129032
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7763
-- Accuracy: 0.9194
+- Loss: 0.7857
+- Accuracy: 0.9158
 
 ## Model description
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.3118        | 1.0   | 318  | 3.3241          | 0.7168   |
-| 2.6602        | 2.0   | 636  | 1.9017          | 0.8439   |
-| 1.5669        | 3.0   | 954  | 1.1686          | 0.8961   |
-| 1.0194        | 4.0   | 1272 | 0.8620          | 0.9139   |
-| 0.8014        | 5.0   | 1590 | 0.7763          | 0.9194   |
+| 4.2955        | 1.0   | 318  | 3.2896          | 0.7232   |
+| 2.6293        | 2.0   | 636  | 1.8798          | 0.8410   |
+| 1.5527        | 3.0   | 954  | 1.1648          | 0.8881   |
+| 1.0164        | 4.0   | 1272 | 0.8682          | 0.9145   |
+| 0.8043        | 5.0   | 1590 | 0.7857          | 0.9158   |
 
 
 ### Framework versions