update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9215
+      value: 0.925
     - name: F1
       type: f1
-      value: 0.9217687179837435
+      value: 0.9248243838501188
 ---
 
 <!-- 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: 0.2229
-- Accuracy: 0.9215
-- F1: 0.9218
+- Loss: 0.2258
+- Accuracy: 0.925
+- F1: 0.9248
 
 ## Model description
 
@@ -68,13 +68,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8289        | 1.0   | 250  | 0.3171          | 0.9055   | 0.9036 |
-| 0.2544        | 2.0   | 500  | 0.2229          | 0.9215   | 0.9218 |
+| No log        | 1.0   | 250  | 0.3267          | 0.9035   | 0.9001 |
+| No log        | 2.0   | 500  | 0.2258          | 0.925    | 0.9248 |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
-- Pytorch 2.0.0+cu118
-- Datasets 2.12.0
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
 - Tokenizers 0.13.3