update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9195
+      value: 0.9215
     - name: F1
       type: f1
-      value: 0.9192564155135826
+      value: 0.9214993532335518
 ---
 
 <!-- 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: 0.2239
-- Accuracy: 0.9195
-- F1: 0.9193
+- Loss: 0.2185
+- Accuracy: 0.9215
+- F1: 0.9215
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8175        | 1.0   | 250  | 0.3260          | 0.9      | 0.8963 |
-| 0.2559        | 2.0   | 500  | 0.2239          | 0.9195   | 0.9193 |
+| 0.8194        | 1.0   | 250  | 0.3089          | 0.9095   | 0.9084 |
+| 0.2444        | 2.0   | 500  | 0.2185          | 0.9215   | 0.9215 |
 
 
 ### Framework versions
 
 - Transformers 4.16.2
-- Pytorch 2.0.1+cu118
+- Pytorch 2.2.1+cu121
 - Datasets 2.9.0
-- Tokenizers 0.14.0
+- Tokenizers 0.15.2