Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.927
+      value: 0.923
     - name: F1
       type: f1
-      value: 0.9269791960799137
+      value: 0.92322486663891
 ---
 
 <!-- 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: 0.2133
-- Accuracy: 0.927
-- F1: 0.9270
+- Loss: 0.2123
+- Accuracy: 0.923
+- F1: 0.9232
 
 ## Model description
 
@@ -69,13 +69,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8355        | 1.0   | 250  | 0.3113          | 0.9075   | 0.9071 |
-| 0.2473        | 2.0   | 500  | 0.2133          | 0.927    | 0.9270 |
+| 0.7754        | 1.0   | 250  | 0.2915          | 0.916    | 0.9153 |
+| 0.235         | 2.0   | 500  | 0.2123          | 0.923    | 0.9232 |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu118
 - Datasets 2.18.0
 - Tokenizers 0.15.2

runs/Apr14_23-48-33_YOUNGKIM-PC2/events.out.tfevents.1713106114.YOUNGKIM-PC2.27204.0

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