update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9180645161290323
+      value: 0.9161290322580645
 ---
 
 <!-- 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: 0.7720
-- Accuracy: 0.9181
+- Loss: 0.7754
+- Accuracy: 0.9161
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 3.2887          | 0.7419   |
-| 3.7868        | 2.0   | 636  | 1.8753          | 0.8371   |
-| 3.7868        | 3.0   | 954  | 1.1570          | 0.8961   |
-| 1.6927        | 4.0   | 1272 | 0.8573          | 0.9129   |
-| 0.9056        | 5.0   | 1590 | 0.7720          | 0.9181   |
+| No log        | 1.0   | 318  | 3.2831          | 0.7397   |
+| 3.7864        | 2.0   | 636  | 1.8731          | 0.8345   |
+| 3.7864        | 3.0   | 954  | 1.1580          | 0.89     |
+| 1.6939        | 4.0   | 1272 | 0.8584          | 0.9077   |
+| 0.9053        | 5.0   | 1590 | 0.7754          | 0.9161   |
 
 
 ### Framework versions