update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9183870967741935
+      value: 0.9174193548387096
 ---
 
 <!-- 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: 0.7721
-- Accuracy: 0.9184
+- Loss: 0.7711
+- Accuracy: 0.9174
 
 ## 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  | 3.2890          | 0.7429   |
-| 3.7868        | 2.0   | 636  | 1.8756          | 0.8374   |
-| 3.7868        | 3.0   | 954  | 1.1571          | 0.8961   |
-| 1.6929        | 4.0   | 1272 | 0.8574          | 0.9132   |
-| 0.9057        | 5.0   | 1590 | 0.7721          | 0.9184   |
+| No log        | 1.0   | 318  | 3.2830          | 0.7426   |
+| 3.785         | 2.0   | 636  | 1.8728          | 0.8410   |
+| 3.785         | 3.0   | 954  | 1.1555          | 0.8913   |
+| 1.6902        | 4.0   | 1272 | 0.8530          | 0.9126   |
+| 0.901         | 5.0   | 1590 | 0.7711          | 0.9174   |
 
 
 ### Framework versions