update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.925
+      value: 0.9365
     - name: F1
       type: f1
-      value: 0.9248266171365837
+      value: 0.9367821456551674
 ---
 
 <!-- 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: 0.2224
-- Accuracy: 0.925
-- F1: 0.9248
+- Loss: 0.1599
+- Accuracy: 0.9365
+- F1: 0.9368
 
 ## Model description
 
@@ -60,14 +60,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8663        | 1.0   | 250  | 0.3235          | 0.904    | 0.9004 |
-| 0.2552        | 2.0   | 500  | 0.2224          | 0.925    | 0.9248 |
+| 0.8194        | 1.0   | 250  | 0.2847          | 0.909    | 0.9071 |
+| 0.2166        | 2.0   | 500  | 0.1735          | 0.936    | 0.9361 |
+| 0.1453        | 3.0   | 750  | 0.1599          | 0.9365   | 0.9368 |
 
 
 ### Framework versions