Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.925
+      value: 0.935
     - name: F1
       type: f1
-      value: 0.9253399186687469
+      value: 0.9351261288854783
 ---
 
 <!-- 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: 0.2195
-- Accuracy: 0.925
-- F1: 0.9253
+- Loss: 0.1507
+- Accuracy: 0.935
+- F1: 0.9351
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7924        | 1.0   | 250  | 0.3130          | 0.904    | 0.9034 |
-| 0.2416        | 2.0   | 500  | 0.2195          | 0.925    | 0.9253 |
+| 0.1728        | 1.0   | 250  | 0.1586          | 0.931    | 0.9316 |
+| 0.1058        | 2.0   | 500  | 0.1507          | 0.935    | 0.9351 |
 
 
 ### Framework versions

runs/Apr09_09-29-27_765ce23d6013/events.out.tfevents.1712654969.765ce23d6013.14214.1

@@ -1,3 +1,3 @@
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+size 6389