update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9164516129032259
+      value: 0.9161290322580645
 ---
 
 <!-- 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: 0.7754
-- Accuracy: 0.9165
+- Loss: 0.7755
+- Accuracy: 0.9161
 
 ## Model description
 
@@ -61,16 +61,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2893        | 1.0   | 318  | 3.2831          | 0.7397   |
-| 2.6289        | 2.0   | 636  | 1.8731          | 0.8342   |
-| 1.5481        | 3.0   | 954  | 1.1580          | 0.8903   |
-| 1.0137        | 4.0   | 1272 | 0.8584          | 0.9081   |
-| 0.797         | 5.0   | 1590 | 0.7754          | 0.9165   |
+| 4.2893        | 1.0   | 318  | 3.2831          | 0.7403   |
+| 2.629         | 2.0   | 636  | 1.8731          | 0.8348   |
+| 1.5481        | 3.0   | 954  | 1.1581          | 0.8906   |
+| 1.0137        | 4.0   | 1272 | 0.8585          | 0.9077   |
+| 0.797         | 5.0   | 1590 | 0.7755          | 0.9161   |
 
 
 ### Framework versions
 
-- Transformers 4.18.0
-- Pytorch 1.11.0+cu102
-- Datasets 2.1.0
-- Tokenizers 0.12.1
+- Transformers 4.11.3
+- Pytorch 1.11.0
+- Datasets 1.16.1
+- Tokenizers 0.10.3