update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9406451612903226
+      value: 0.9409677419354838
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,7 +30,7 @@ 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: 0.1004
-- Accuracy: 0.9406
+- Accuracy: 0.9410
 
 ## Model description
 
@@ -61,21 +61,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9035        | 1.0   | 318  | 0.5744          | 0.7316   |
-| 0.4485        | 2.0   | 636  | 0.2864          | 0.8816   |
-| 0.2536        | 3.0   | 954  | 0.1793          | 0.9216   |
+| 0.9037        | 1.0   | 318  | 0.5745          | 0.7326   |
+| 0.4486        | 2.0   | 636  | 0.2866          | 0.8819   |
+| 0.2537        | 3.0   | 954  | 0.1794          | 0.9210   |
 | 0.1762        | 4.0   | 1272 | 0.1387          | 0.9294   |
 | 0.1419        | 5.0   | 1590 | 0.1210          | 0.9358   |
-| 0.1247        | 6.0   | 1908 | 0.1119          | 0.9410   |
+| 0.1247        | 6.0   | 1908 | 0.1119          | 0.9413   |
 | 0.1138        | 7.0   | 2226 | 0.1067          | 0.9387   |
 | 0.1078        | 8.0   | 2544 | 0.1026          | 0.9423   |
 | 0.1043        | 9.0   | 2862 | 0.1010          | 0.9413   |
-| 0.102         | 10.0  | 3180 | 0.1004          | 0.9406   |
+| 0.102         | 10.0  | 3180 | 0.1004          | 0.9410   |
 
 
 ### 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