Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.923
+      value: 0.926
     - name: F1
       type: f1
-      value: 0.9231688453990665
+      value: 0.9259985819649488
 ---
 
 <!-- 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: 0.2246
-- Accuracy: 0.923
-- F1: 0.9232
+- Loss: 0.2158
+- Accuracy: 0.926
+- F1: 0.9260
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8444        | 1.0   | 250  | 0.3332          | 0.8985   | 0.8979 |
-| 0.2543        | 2.0   | 500  | 0.2246          | 0.923    | 0.9232 |
+| 0.8055        | 1.0   | 250  | 0.3058          | 0.908    | 0.9069 |
+| 0.2451        | 2.0   | 500  | 0.2158          | 0.926    | 0.9260 |
 
 
 ### Framework versions

runs/Jul22_06-01-57_fab0c1e659da/events.out.tfevents.1721628137.fab0c1e659da.629.0

@@ -1,3 +1,3 @@
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