Panda0116/emotion-classification-model

README.md

@@ -19,7 +19,7 @@ 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: 0.1616
-- Accuracy: 0.939
+- Accuracy: 0.935
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2325        | 1.0   | 1000 | 0.1928          | 0.9325   |
-| 0.1354        | 2.0   | 2000 | 0.1595          | 0.934    |
-| 0.0858        | 3.0   | 3000 | 0.1616          | 0.939    |
+| 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    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e8335e6478fc1e649485a02e1cd40d0a203bf85c4d68242523237251df6409a4
+oid sha256:4899d99cef6f8066c677b338c0f24a811fcc15eb70cfc02684b12b1c886047ba
 size 267844872