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: 0.1565
-- Accuracy: 0.9415
+- Loss: 0.1606
+- Accuracy: 0.942
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.225         | 1.0   | 1000 | 0.1815          | 0.9295   |
-| 0.1279        | 2.0   | 2000 | 0.1561          | 0.933    |
-| 0.0795        | 3.0   | 3000 | 0.1565          | 0.9415   |
+| 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    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7bf30133ec52f77b31bf8d9126d9d7021bfc9b1bd68e4dc14f8e87ff0402d281
 size 267844872