update model card README.md

README.md

@@ -16,12 +16,12 @@ model-index:
       name: clinc_oos
       type: clinc_oos
       config: plus
-      split: train
+      split: validation
       args: plus
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9125806451612903
+      value: 0.9145161290322581
 ---
 
 <!-- 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: 0.7742
-- Accuracy: 0.9126
+- Loss: 0.7732
+- Accuracy: 0.9145
 
 ## Model description
 
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 3.2809          | 0.7429   |
-| 3.7819        | 2.0   | 636  | 1.8772          | 0.8310   |
-| 3.7819        | 3.0   | 954  | 1.1549          | 0.8948   |
-| 1.6894        | 4.0   | 1272 | 0.8587          | 0.9045   |
-| 0.8972        | 5.0   | 1590 | 0.7742          | 0.9126   |
+| No log        | 1.0   | 318  | 3.2831          | 0.7419   |
+| 3.7832        | 2.0   | 636  | 1.8773          | 0.8316   |
+| 3.7832        | 3.0   | 954  | 1.1543          | 0.8961   |
+| 1.6892        | 4.0   | 1272 | 0.8578          | 0.9055   |
+| 0.8962        | 5.0   | 1590 | 0.7732          | 0.9145   |
 
 
 ### Framework versions
 
-- Transformers 4.25.1
-- Pytorch 1.9.0+cu111
-- Datasets 2.9.0
+- Transformers 4.26.1
+- Pytorch 1.8.1+cu111
+- Datasets 2.10.1
 - Tokenizers 0.11.0