Training completed!

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9275
+      value: 0.9385
     - name: F1
       type: f1
-      value: 0.9277246104975109
+      value: 0.9385716561531253
 ---
 
 <!-- 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: 0.2124
-- Accuracy: 0.9275
-- F1: 0.9277
+- Loss: 0.1638
+- Accuracy: 0.9385
+- F1: 0.9386
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8104        | 1.0   | 250  | 0.3004          | 0.9125   | 0.9123 |
-| 0.2425        | 2.0   | 500  | 0.2124          | 0.9275   | 0.9277 |
+| 0.0923        | 1.0   | 250  | 0.1700          | 0.936    | 0.9367 |
+| 0.068         | 2.0   | 500  | 0.1638          | 0.9385   | 0.9386 |
 
 
 ### Framework versions

runs/Mar09_15-51-23_bc7c0c4985d5/events.out.tfevents.1709999485.bc7c0c4985d5.5404.2

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