update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8303225806451613
+      value: 0.8219354838709677
 ---
 
 <!-- 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: 1.0763
-- Accuracy: 0.8303
+- Loss: 0.1971
+- Accuracy: 0.8219
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.3355        | 1.0   | 318  | 1.7942          | 0.7287   |
-| 1.5445        | 2.0   | 636  | 1.2369          | 0.8090   |
-| 1.1895        | 3.0   | 954  | 1.0763          | 0.8303   |
+| 0.6803        | 1.0   | 318  | 0.4045          | 0.63     |
+| 0.3479        | 2.0   | 636  | 0.2344          | 0.7861   |
+| 0.2495        | 3.0   | 954  | 0.1971          | 0.8219   |
 
 
 ### Framework versions