Training completed!

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: 0.2105
-- Accuracy: 0.9255
-- F1: 0.9256
+- Loss: 0.2124
+- Accuracy: 0.926
+- F1: 0.9259
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.799         | 1.0   | 250  | 0.2985          | 0.91     | 0.9095 |
-| 0.2437        | 2.0   | 500  | 0.2105          | 0.9255   | 0.9256 |
+| 0.8302        | 1.0   | 250  | 0.3161          | 0.9085   | 0.9083 |
+| 0.2489        | 2.0   | 500  | 0.2124          | 0.926    | 0.9259 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0.post301
+- Pytorch 2.4.0
 - Datasets 2.19.1
 - Tokenizers 0.19.1