update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -15,11 +16,13 @@ model-index:
     dataset:
       name: clinc_oos
       type: clinc_oos
+      config: plus
+      split: validation
       args: plus
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9364516129032258
+      value: 0.9483870967741935
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +32,8 @@ 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: 0.0661
-- Accuracy: 0.9365
+- Loss: 0.2727
+- Accuracy: 0.9484
 
 ## Model description
 
@@ -61,21 +64,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7476        | 1.0   | 318  | 0.4241          | 0.6858   |
-| 0.33          | 2.0   | 636  | 0.1883          | 0.8665   |
-| 0.1795        | 3.0   | 954  | 0.1159          | 0.9110   |
-| 0.1267        | 4.0   | 1272 | 0.0902          | 0.9232   |
-| 0.1032        | 5.0   | 1590 | 0.0793          | 0.9284   |
-| 0.0918        | 6.0   | 1908 | 0.0732          | 0.9339   |
-| 0.0847        | 7.0   | 2226 | 0.0699          | 0.9358   |
-| 0.0804        | 8.0   | 2544 | 0.0678          | 0.9371   |
-| 0.0778        | 9.0   | 2862 | 0.0665          | 0.9371   |
-| 0.0767        | 10.0  | 3180 | 0.0661          | 0.9365   |
+| 3.9942        | 1.0   | 318  | 2.9681          | 0.7403   |
+| 2.2537        | 2.0   | 636  | 1.4738          | 0.8623   |
+| 1.1006        | 3.0   | 954  | 0.7438          | 0.9187   |
+| 0.5532        | 4.0   | 1272 | 0.4604          | 0.9371   |
+| 0.3127        | 5.0   | 1590 | 0.3536          | 0.9397   |
+| 0.2039        | 6.0   | 1908 | 0.3070          | 0.9445   |
+| 0.1516        | 7.0   | 2226 | 0.2874          | 0.9448   |
+| 0.1232        | 8.0   | 2544 | 0.2758          | 0.9490   |
+| 0.1094        | 9.0   | 2862 | 0.2735          | 0.9487   |
+| 0.1012        | 10.0  | 3180 | 0.2727          | 0.9484   |
 
 
 ### Framework versions
 
-- Transformers 4.16.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 1.16.1
+- Datasets 2.14.4
 - Tokenizers 0.13.3