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: 0.9151612903225806
+      value: 0.9203225806451613
 ---
 
 <!-- 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: 0.7768
-- Accuracy: 0.9152
+- Loss: 0.7589
+- Accuracy: 0.9203
 
 ## Model description
 
@@ -61,16 +64,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2864        | 1.0   | 318  | 3.2818          | 0.7426   |
-| 2.6248        | 2.0   | 636  | 1.8740          | 0.8345   |
-| 1.5431        | 3.0   | 954  | 1.1592          | 0.8923   |
-| 1.0115        | 4.0   | 1272 | 0.8597          | 0.9106   |
-| 0.7998        | 5.0   | 1590 | 0.7768          | 0.9152   |
+| 4.2904        | 1.0   | 318  | 3.2686          | 0.7297   |
+| 2.6005        | 2.0   | 636  | 1.8534          | 0.8442   |
+| 1.5214        | 3.0   | 954  | 1.1378          | 0.8997   |
+| 0.9944        | 4.0   | 1272 | 0.8399          | 0.9145   |
+| 0.7763        | 5.0   | 1590 | 0.7589          | 0.9203   |
 
 
 ### 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