Training completed!

README.md

@@ -18,9 +18,9 @@ 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: 0.2176
-- Accuracy: 0.924
-- F1: 0.9238
+- Loss: 0.2136
+- Accuracy: 0.925
+- F1: 0.9250
 
 ## Model description
 
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8552        | 1.0   | 250  | 0.3252          | 0.904    | 0.9022 |
-| 0.2518        | 2.0   | 500  | 0.2176          | 0.924    | 0.9238 |
+| 0.8246        | 1.0   | 250  | 0.3131          | 0.9075   | 0.9068 |
+| 0.2531        | 2.0   | 500  | 0.2136          | 0.925    | 0.9250 |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
+- Transformers 4.32.0
 - Pytorch 2.0.1+cu118
 - Datasets 1.16.1
 - Tokenizers 0.13.3