Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9265
+      value: 0.9215
     - name: F1
       type: f1
-      value: 0.9263788432528864
+      value: 0.9217558757695911
 ---
 
 <!-- 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: 0.2201
-- Accuracy: 0.9265
-- F1: 0.9264
+- Loss: 0.2218
+- Accuracy: 0.9215
+- F1: 0.9218
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8405        | 1.0   | 250  | 0.3278          | 0.904    | 0.9028 |
-| 0.2562        | 2.0   | 500  | 0.2201          | 0.9265   | 0.9264 |
+| 0.8244        | 1.0   | 250  | 0.3173          | 0.906    | 0.9053 |
+| 0.2469        | 2.0   | 500  | 0.2218          | 0.9215   | 0.9218 |
 
 
 ### Framework versions

runs/Apr11_07-24-41_2c636d413912/events.out.tfevents.1712820321.2c636d413912.284.0

@@ -1,3 +1,3 @@
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+size 6330