update model card README.md

README.md

@@ -25,7 +25,7 @@ model-index:
       value: 0.9265
     - name: F1
       type: f1
-      value: 0.9262994960409763
+      value: 0.9265277328493297
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ 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: 0.2148
+- Loss: 0.2240
 - Accuracy: 0.9265
-- F1: 0.9263
+- F1: 0.9265
 
 ## Model description
 
@@ -68,13 +68,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8512        | 1.0   | 250  | 0.3214          | 0.9075   | 0.9056 |
-| 0.2486        | 2.0   | 500  | 0.2148          | 0.9265   | 0.9263 |
+| 0.8488        | 1.0   | 250  | 0.3268          | 0.9055   | 0.9031 |
+| 0.2532        | 2.0   | 500  | 0.2240          | 0.9265   | 0.9265 |
 
 
 ### Framework versions
 
-- Transformers 4.21.0
+- Transformers 4.21.1
 - Pytorch 1.12.0+cu113
 - Datasets 2.4.0
 - Tokenizers 0.12.1