Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.933
+      value: 0.925
     - name: F1
       type: f1
-      value: 0.9334738424180911
+      value: 0.9250154637939634
 ---
 
 <!-- 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: 0.1633
-- Accuracy: 0.933
-- F1: 0.9335
+- Loss: 0.2164
+- Accuracy: 0.925
+- F1: 0.9250
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2108        | 1.0   | 250  | 0.1881          | 0.93     | 0.9308 |
-| 0.1392        | 2.0   | 500  | 0.1633          | 0.933    | 0.9335 |
+| 0.7992        | 1.0   | 250  | 0.3137          | 0.9045   | 0.9024 |
+| 0.2436        | 2.0   | 500  | 0.2164          | 0.925    | 0.9250 |
 
 
 ### Framework versions

runs/Nov20_00-39-33_153e3334cd54/events.out.tfevents.1700440774.153e3334cd54.858.0

@@ -1,3 +1,3 @@
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-size 5115
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+size 5838