update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.0064516129032258064
+      value: 0.9174193548387096
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: nan
-- Accuracy: 0.0065
+- Loss: 0.7668
+- Accuracy: 0.9174
 
 ## Model description
 
@@ -65,10 +65,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
 | 4.2879        | 1.0   | 318  | 3.2751          | 0.7248   |
-| 2.6117        | 2.0   | 636  | 1.8616          | 0.8374   |
-| 1.5352        | 3.0   | 954  | 1.1480          | 0.8977   |
-| 1.002         | 4.0   | 1272 | 0.8499          | 0.9123   |
-| 0.8017        | 5.0   | 1590 | nan             | 0.0065   |
+| 2.6115        | 2.0   | 636  | 1.8613          | 0.8374   |
+| 1.5334        | 3.0   | 954  | 1.1454          | 0.8981   |
+| 0.9992        | 4.0   | 1272 | 0.8480          | 0.9132   |
+| 0.7856        | 5.0   | 1590 | 0.7668          | 0.9174   |
 
 
 ### Framework versions