Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.934
+      value: 0.9265
     - name: F1
       type: f1
-      value: 0.9339730828701798
+      value: 0.9265682404674209
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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: 0.1518
-- Accuracy: 0.934
-- F1: 0.9340
+- Loss: 0.2060
+- Accuracy: 0.9265
+- F1: 0.9266
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1744        | 1.0   | 250  | 0.1703          | 0.9315   | 0.9315 |
-| 0.1109        | 2.0   | 500  | 0.1518          | 0.934    | 0.9340 |
+| 0.7988        | 1.0   | 250  | 0.3012          | 0.9115   | 0.9115 |
+| 0.2405        | 2.0   | 500  | 0.2060          | 0.9265   | 0.9266 |
 
 
 ### Framework versions

runs/Jun13_18-28-56_DESKTOP-NIL3GKB/events.out.tfevents.1718283537.DESKTOP-NIL3GKB.19928.0

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