distilbert-base-uncased-textclassification

README.md

@@ -17,8 +17,8 @@ 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: 0.2509
-- Accuracy: 0.9290
+- Loss: 0.2255
+- Accuracy: 0.9339
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.22          | 1.0   | 1563 | 0.1256          | 0.9574   |
-| 0.1437        | 2.0   | 3126 | 0.2509          | 0.9290   |
+| 0.2185        | 1.0   | 1563 | 0.2064          | 0.9226   |
+| 0.1439        | 2.0   | 3126 | 0.2255          | 0.9339   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bc10c6b873c2b6a2d9cc724ccc4925fd1a253dbf75fe19997ba33ad30fd1af06
 size 267832560