Training completed!

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: 0.8010
-- Accuracy: 0.9171
+- Loss: 0.7933
+- Accuracy: 0.9177
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 3.3201          | 0.7303   |
-| 3.8165        | 2.0   | 636  | 1.9148          | 0.8448   |
-| 3.8165        | 3.0   | 954  | 1.1892          | 0.8926   |
-| 1.7335        | 4.0   | 1272 | 0.8876          | 0.9129   |
-| 0.9335        | 5.0   | 1590 | 0.8010          | 0.9171   |
+| No log        | 1.0   | 318  | 3.3006          | 0.7197   |
+| 3.8014        | 2.0   | 636  | 1.8926          | 0.8471   |
+| 3.8014        | 3.0   | 954  | 1.1771          | 0.8932   |
+| 1.7154        | 4.0   | 1272 | 0.8791          | 0.9116   |
+| 0.9218        | 5.0   | 1590 | 0.7933          | 0.9177   |
 
 
 ### Framework versions

model.safetensors

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 size 268290900

runs/Jul10_22-28-25_4ec4bb7b829d/events.out.tfevents.1720650814.4ec4bb7b829d.2854.0

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