Training completed!

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: 0.7872
-- Accuracy: 0.9206
+- Loss: 0.8010
+- Accuracy: 0.9171
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.3047        | 1.0   | 318  | 3.2931          | 0.7255   |
-| 2.6448        | 2.0   | 636  | 1.8849          | 0.8526   |
-| 1.5652        | 3.0   | 954  | 1.1702          | 0.8897   |
-| 1.0288        | 4.0   | 1272 | 0.8717          | 0.9145   |
-| 0.8145        | 5.0   | 1590 | 0.7872          | 0.9206   |
+| 4.316         | 1.0   | 318  | 3.3201          | 0.7303   |
+| 2.6667        | 2.0   | 636  | 1.9148          | 0.8448   |
+| 1.5862        | 3.0   | 954  | 1.1892          | 0.8926   |
+| 1.045         | 4.0   | 1272 | 0.8876          | 0.9129   |
+| 0.8245        | 5.0   | 1590 | 0.8010          | 0.9171   |
 
 
 ### Framework versions

runs/Oct16_22-02-07_c1fe976e3fd2/events.out.tfevents.1729116227.c1fe976e3fd2.788.0

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+size 15474