update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8274193548387097
+      value: 0.8296774193548387
 ---
 
 <!-- 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: 1.9706
-- Accuracy: 0.8274
+- Loss: 1.7989
+- Accuracy: 0.8297
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.202         | 1.0   | 318  | 3.3225          | 0.7248   |
-| 2.8372        | 2.0   | 636  | 2.2856          | 0.8061   |
-| 2.1626        | 3.0   | 954  | 1.9706          | 0.8274   |
+| 3.8176        | 1.0   | 318  | 3.0133          | 0.7242   |
+| 2.5793        | 2.0   | 636  | 2.0807          | 0.8058   |
+| 1.9738        | 3.0   | 954  | 1.7989          | 0.8297   |
 
 
 ### Framework versions
@@ -71,4 +71,4 @@ The following hyperparameters were used during training:
 - Transformers 4.16.2
 - Pytorch 1.12.1
 - Datasets 1.16.1
-- Tokenizers 0.10.3
+- Tokenizers 0.15.2