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: 0.7987
-- Accuracy: 0.9139
+- Loss: 0.8018
+- Accuracy: 0.9184
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 3.2840          | 0.7239   |
-| 3.7874        | 2.0   | 636  | 1.8854          | 0.8442   |
-| 3.7874        | 3.0   | 954  | 1.1790          | 0.8919   |
-| 1.7111        | 4.0   | 1272 | 0.8840          | 0.9087   |
-| 0.9258        | 5.0   | 1590 | 0.7987          | 0.9139   |
+| 4.3096        | 1.0   | 318  | 3.3105          | 0.7235   |
+| 2.6635        | 2.0   | 636  | 1.9103          | 0.8532   |
+| 1.5844        | 3.0   | 954  | 1.1890          | 0.8881   |
+| 1.0484        | 4.0   | 1272 | 0.8891          | 0.9119   |
+| 0.8253        | 5.0   | 1590 | 0.8018          | 0.9184   |
 
 
 ### Framework versions
 
-- Transformers 4.57.0
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
 - Tokenizers 0.22.1