End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.3104
-- Accuracy: 0.9212
-- F1: 0.9211
+- Loss: 0.2569
+- Accuracy: 0.9257
+- F1: 0.9256
 
 ## Model description
 
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2666          | 0.9118   | 0.9118 |
-| 0.2043        | 2.0   | 626  | 0.2748          | 0.9175   | 0.9175 |
-| 0.2043        | 3.0   | 939  | 0.3104          | 0.9212   | 0.9211 |
+| 0.3354        | 1.0   | 625  | 0.2468          | 0.9172   | 0.9171 |
+| 0.1901        | 2.0   | 1250 | 0.2424          | 0.9251   | 0.9251 |
+| 0.1232        | 3.0   | 1875 | 0.2569          | 0.9257   | 0.9256 |
 
 
 ### Framework versions
 
-- Transformers 4.56.1
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.0
+- Tokenizers 0.22.1