update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9183870967741935
+      value: 0.9180645161290323
 ---
 
 <!-- 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: 0.7721
-- Accuracy: 0.9184
+- Loss: 0.7720
+- Accuracy: 0.9181
 
 ## Model description
 
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2896        | 1.0   | 318  | 3.2890          | 0.7432   |
-| 2.6284        | 2.0   | 636  | 1.8756          | 0.8377   |
-| 1.5483        | 3.0   | 954  | 1.1572          | 0.8961   |
-| 1.015         | 4.0   | 1272 | 0.8573          | 0.9132   |
-| 0.7953        | 5.0   | 1590 | 0.7721          | 0.9184   |
+| 4.2896        | 1.0   | 318  | 3.2887          | 0.7419   |
+| 2.6282        | 2.0   | 636  | 1.8753          | 0.8371   |
+| 1.548         | 3.0   | 954  | 1.1570          | 0.8961   |
+| 1.0148        | 4.0   | 1272 | 0.8573          | 0.9129   |
+| 0.7952        | 5.0   | 1590 | 0.7720          | 0.9181   |
 
 
 ### Framework versions
 
-- Transformers 4.27.3
-- Pytorch 1.13.1+cu116
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3