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: 0.4069
-- Accuracy: 0.887
-- F1: 0.8846
+- Loss: 0.2797
+- Accuracy: 0.9225
+- F1: 0.9224
 
 ## Model description
 
@@ -52,13 +52,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.3763        | 1.0   | 250  | 0.7892          | 0.7495   | 0.6965 |
-| 0.5264        | 2.0   | 500  | 0.4069          | 0.887    | 0.8846 |
+| 1.1417        | 1.0   | 250  | 0.4755          | 0.871    | 0.8686 |
+| 0.3535        | 2.0   | 500  | 0.2797          | 0.9225   | 0.9224 |
 
 
 ### Framework versions
 
-- Transformers 4.46.2
+- Transformers 4.46.3
 - Pytorch 2.5.1+cu121
-- Datasets 3.1.0
 - Tokenizers 0.20.3

runs/Dec06_16-31-45_57c58e459140/events.out.tfevents.1733503440.57c58e459140.803.1

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