Panda0116/emotion-classification-model

README.md

@@ -18,7 +18,7 @@ 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: 0.1458
+- Loss: 0.1485
 - Accuracy: 0.9425
 
 ## Model description
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| 0.2254        | 1.0   | 1000 | 0.1845          | 0.929    |
+| 0.1297        | 2.0   | 2000 | 0.1589          | 0.9355   |
+| 0.0739        | 3.0   | 3000 | 0.1485          | 0.9425   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:954d1dfc1d2e98c759bba373d81b66c6029b34642d329811461e5222b125c244
 size 267844872