update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.927
+      value: 0.926
     - name: F1
       type: f1
-      value: 0.926830418243413
+      value: 0.9258424592458041
 ---
 
 <!-- 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: 0.2168
-- Accuracy: 0.927
-- F1: 0.9268
+- Loss: 0.2185
+- Accuracy: 0.926
+- F1: 0.9258
 
 ## Model description
 
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8239        | 1.0   | 250  | 0.3068          | 0.9065   | 0.9039 |
-| 0.2464        | 2.0   | 500  | 0.2168          | 0.927    | 0.9268 |
+| 0.8082        | 1.0   | 250  | 0.3139          | 0.9095   | 0.9073 |
+| 0.2492        | 2.0   | 500  | 0.2185          | 0.926    | 0.9258 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
+- Transformers 4.13.0
 - Pytorch 1.12.1+cu113
 - Datasets 1.16.1
 - Tokenizers 0.10.3