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: 0.9205
+      value: 0.924
     - name: F1
       type: f1
-      value: 0.9206916294520199
+      value: 0.9239158120971537
 ---
 
 <!-- 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: 0.2235
-- Accuracy: 0.9205
-- F1: 0.9207
+- Loss: 0.2166
+- Accuracy: 0.924
+- F1: 0.9239
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8546        | 1.0   | 250  | 0.3252          | 0.906    | 0.9028 |
-| 0.2551        | 2.0   | 500  | 0.2235          | 0.9205   | 0.9207 |
+| 0.8399        | 1.0   | 250  | 0.3135          | 0.9075   | 0.9041 |
+| 0.2513        | 2.0   | 500  | 0.2166          | 0.924    | 0.9239 |
 
 
 ### Framework versions
 
 - Transformers 4.13.0
-- Pytorch 1.11.0+cu113
-- Datasets 1.16.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.8.0
 - Tokenizers 0.10.3