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: 0.1616
-- Accuracy: 0.935
+- Loss: 0.1565
+- Accuracy: 0.9415
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2257        | 1.0   | 1000 | 0.1921          | 0.928    |
-| 0.1291        | 2.0   | 2000 | 0.1478          | 0.9355   |
-| 0.0804        | 3.0   | 3000 | 0.1616          | 0.935    |
+| 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   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f2fca8eef2e7bbbebcbd8e20ab189aed7367df8779656c4b631bcfc666c2602
+oid sha256:27c2c72676e8b40d3c7554c401ae3c76df6f87da2f87ea159b14d177f25a1046
 size 267844872