update model card README.md

README.md

@@ -16,14 +16,14 @@ model-index:
     dataset:
       name: emotion
       type: emotion
-      args: default
+      args: split
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9245
+      value: 0.9265
     - name: F1
       type: f1
-      value: 0.9246964318251509
+      value: 0.9264826040883781
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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 emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2237
-- Accuracy: 0.9245
-- F1: 0.9247
+- Loss: 0.2108
+- Accuracy: 0.9265
+- F1: 0.9265
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8356        | 1.0   | 250  | 0.3296          | 0.901    | 0.8977 |
-| 0.254         | 2.0   | 500  | 0.2237          | 0.9245   | 0.9247 |
+| 0.8108        | 1.0   | 250  | 0.3101          | 0.903    | 0.8995 |
+| 0.2423        | 2.0   | 500  | 0.2108          | 0.9265   | 0.9265 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.10.0+cu111
-- Datasets 1.16.1
+- Transformers 4.13.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.8.0
 - Tokenizers 0.10.3