Training complete

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: 0.3223
-- Accuracy: 0.9461
+- Loss: 0.3426
+- Accuracy: 0.9481
 
 ## Model description
 
@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.8424        | 1.0   | 318  | 2.0795          | 0.7271   |
-| 1.6103        | 2.0   | 636  | 1.0650          | 0.8577   |
-| 0.8466        | 3.0   | 954  | 0.6074          | 0.9135   |
-| 0.4999        | 4.0   | 1272 | 0.4376          | 0.9310   |
-| 0.3539        | 5.0   | 1590 | 0.3770          | 0.9397   |
-| 0.2899        | 6.0   | 1908 | 0.3515          | 0.9419   |
-| 0.2589        | 7.0   | 2226 | 0.3353          | 0.9448   |
-| 0.2418        | 8.0   | 2544 | 0.3276          | 0.9458   |
-| 0.2319        | 9.0   | 2862 | 0.3234          | 0.9458   |
-| 0.2284        | 10.0  | 3180 | 0.3223          | 0.9461   |
+| 3.8162        | 1.0   | 318  | 2.8321          | 0.7381   |
+| 2.1655        | 2.0   | 636  | 1.4157          | 0.8658   |
+| 1.0801        | 3.0   | 954  | 0.7461          | 0.9142   |
+| 0.568         | 4.0   | 1272 | 0.4911          | 0.9319   |
+| 0.3528        | 5.0   | 1590 | 0.3975          | 0.9397   |
+| 0.2606        | 6.0   | 1908 | 0.3712          | 0.9403   |
+| 0.2195        | 7.0   | 2226 | 0.3510          | 0.9471   |
+| 0.1971        | 8.0   | 2544 | 0.3467          | 0.9468   |
+| 0.1862        | 9.0   | 2862 | 0.3450          | 0.9468   |
+| 0.181         | 10.0  | 3180 | 0.3426          | 0.9481   |
 
 
 ### Framework versions
 
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu124
+- Transformers 4.47.0
+- Pytorch 2.5.1
 - Datasets 3.2.0
 - Tokenizers 0.21.0