update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9183870967741935
+      value: 0.9151612903225806
 ---
 
 <!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7702
-- Accuracy: 0.9184
+- Loss: 0.7773
+- Accuracy: 0.9152
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2897        | 1.0   | 318  | 3.2889          | 0.7419   |
-| 2.6309        | 2.0   | 636  | 1.8796          | 0.8319   |
-| 1.5444        | 3.0   | 954  | 1.1537          | 0.8971   |
-| 1.0098        | 4.0   | 1272 | 0.8560          | 0.9135   |
-| 0.7919        | 5.0   | 1590 | 0.7702          | 0.9184   |
+| 4.293         | 1.0   | 318  | 3.2831          | 0.7432   |
+| 2.6252        | 2.0   | 636  | 1.8743          | 0.8306   |
+| 1.5406        | 3.0   | 954  | 1.1576          | 0.8939   |
+| 1.0105        | 4.0   | 1272 | 0.8626          | 0.9094   |
+| 0.7962        | 5.0   | 1590 | 0.7773          | 0.9152   |
 
 
 ### Framework versions