Panda0116/emotion-classification-model

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1606
-- Accuracy: 0.942
+- Loss: 0.1458
+- Accuracy: 0.9425
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2304        | 1.0   | 1000 | 0.2112          | 0.926    |
-| 0.1308        | 2.0   | 2000 | 0.1700          | 0.936    |
-| 0.0862        | 3.0   | 3000 | 0.1606          | 0.942    |
+| 0.2301        | 1.0   | 1000 | 0.1880          | 0.9315   |
+| 0.1331        | 2.0   | 2000 | 0.1659          | 0.9345   |
+| 0.0824        | 3.0   | 3000 | 0.1458          | 0.9425   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dc3d0fd9d6da080ffc2cb5c41e5d022824bbc0bbc2ccad4a536a19878d6d72a
+oid sha256:926fd500bda24719905e2de5c884b2eea6d960f082172b9ce4fcaf4fc182bed1
 size 267844872