update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9215
+      value: 0.9225
     - name: F1
       type: f1
-      value: 0.9213566593548216
+      value: 0.9225152799408713
 ---
 
 <!-- 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: 0.2330
-- Accuracy: 0.9215
-- F1: 0.9214
+- Loss: 0.2100
+- Accuracy: 0.9225
+- F1: 0.9225
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8664        | 1.0   | 250  | 0.3464          | 0.8975   | 0.8934 |
-| 0.266         | 2.0   | 500  | 0.2330          | 0.9215   | 0.9214 |
+| 0.793         | 1.0   | 250  | 0.2946          | 0.912    | 0.9103 |
+| 0.2423        | 2.0   | 500  | 0.2100          | 0.9225   | 0.9225 |
 
 
 ### Framework versions
 
 - Transformers 4.11.3
-- Pytorch 1.11.0+cu102
+- Pytorch 1.11.0+cu113
 - Datasets 1.16.1
 - Tokenizers 0.10.3