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: 0.2255
-- Accuracy: 0.9339
+- Loss: 0.2477
+- Accuracy: 0.9286
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2185        | 1.0   | 1563 | 0.2064          | 0.9226   |
-| 0.1439        | 2.0   | 3126 | 0.2255          | 0.9339   |
+| 0.2267        | 1.0   | 1563 | 0.2099          | 0.9178   |
+| 0.1517        | 2.0   | 3126 | 0.2477          | 0.9286   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18faccbf9c0d7d7d90d7d039a7b44cd98147017551543f9272dc0018fb0e3ff0
+oid sha256:ca077df3e0e369b381525323fb936390eef9d02260118a2d0c2bd9582fcb22b7
 size 267832560