update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8267741935483871
+      value: 0.8158064516129032
 ---
 
 <!-- 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: 1.3027
-- Accuracy: 0.8268
+- Loss: 0.1711
+- Accuracy: 0.8158
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.7843        | 1.0   | 318  | 2.1671          | 0.7284   |
-| 1.8628        | 2.0   | 636  | 1.4986          | 0.8074   |
-| 1.434         | 3.0   | 954  | 1.3027          | 0.8268   |
+| 0.6271        | 1.0   | 318  | 0.3618          | 0.6210   |
+| 0.3122        | 2.0   | 636  | 0.2048          | 0.7758   |
+| 0.222         | 3.0   | 954  | 0.1711          | 0.8158   |
 
 
 ### 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 0.15.2
+- Tokenizers 0.10.3