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: 0.1630
-- Accuracy: 0.9385
+- Loss: 0.1616
+- Accuracy: 0.939
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2281        | 1.0   | 1000 | 0.1982          | 0.929    |
-| 0.132         | 2.0   | 2000 | 0.1674          | 0.9345   |
-| 0.0843        | 3.0   | 3000 | 0.1630          | 0.9385   |
+| 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    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c55d81084e5eb09f29d09c76148186218c6d01d7cdd613ba0e0db9616a26dd29
 size 267844872