update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9190322580645162
+      value: 0.9129032258064517
 ---
 
 <!-- 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: 0.7672
-- Accuracy: 0.9190
+- Loss: 0.7752
+- Accuracy: 0.9129
 
 ## Model description
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2783        | 1.0   | 318  | 3.2650          | 0.7313   |
-| 2.6071        | 2.0   | 636  | 1.8574          | 0.8513   |
-| 1.5315        | 3.0   | 954  | 1.1484          | 0.8955   |
-| 1.0035        | 4.0   | 1272 | 0.8516          | 0.9161   |
-| 0.7864        | 5.0   | 1590 | 0.7672          | 0.9190   |
+| 4.3211        | 1.0   | 318  | 3.3313          | 0.7235   |
+| 2.6568        | 2.0   | 636  | 1.9016          | 0.8452   |
+| 1.5575        | 3.0   | 954  | 1.1668          | 0.8955   |
+| 1.0094        | 4.0   | 1272 | 0.8619          | 0.9087   |
+| 0.7914        | 5.0   | 1590 | 0.7752          | 0.9129   |
 
 
 ### Framework versions