update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9205
+      value: 0.927
     - name: F1
       type: f1
-      value: 0.9206019254208612
+      value: 0.9270602530979738
 ---
 
 <!-- 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: 0.2320
-- Accuracy: 0.9205
-- F1: 0.9206
+- Loss: 0.2208
+- Accuracy: 0.927
+- F1: 0.9271
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8454        | 1.0   | 250  | 0.3371          | 0.9025   | 0.8990 |
-| 0.2626        | 2.0   | 500  | 0.2320          | 0.9205   | 0.9206 |
+| 0.8117        | 1.0   | 250  | 0.3174          | 0.9025   | 0.8986 |
+| 0.2508        | 2.0   | 500  | 0.2208          | 0.927    | 0.9271 |
 
 
 ### Framework versions
 
 - Transformers 4.16.2
-- Pytorch 2.0.1+cu118
-- Datasets 2.13.1
-- Tokenizers 0.13.3
+- Pytorch 2.1.0+cu121
+- Datasets 1.16.1
+- Tokenizers 0.15.0