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: 0.2445
-- Accuracy: 0.9201
-- F1: 0.9202
+- Loss: 0.2487
+- Accuracy: 0.9192
+- F1: 0.9192
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2655          | 0.9132   | 0.9131 |
-| 0.3049        | 2.0   | 626  | 0.2445          | 0.9201   | 0.9202 |
+| No log        | 1.0   | 313  | 0.2713          | 0.9118   | 0.9118 |
+| 0.3027        | 2.0   | 626  | 0.2487          | 0.9192   | 0.9192 |
 
 
 ### Framework versions
 
-- Transformers 4.56.1
+- Transformers 4.56.2
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.0
+- Tokenizers 0.22.1