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: 0.2180
-- Accuracy: 0.923
-- F1: 0.9229
+- Loss: 0.2097
+- Accuracy: 0.9295
+- F1: 0.9296
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8347        | 1.0   | 250  | 0.3156          | 0.9065   | 0.9051 |
-| 0.2497        | 2.0   | 500  | 0.2180          | 0.923    | 0.9229 |
+| 0.7784        | 1.0   | 250  | 0.2976          | 0.913    | 0.9128 |
+| 0.2351        | 2.0   | 500  | 0.2097          | 0.9295   | 0.9296 |
 
 
 ### Framework versions

runs/Sep18_04-44-25_e18f4b079d07/events.out.tfevents.1726634671.e18f4b079d07.429.0

@@ -1,3 +1,3 @@
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+size 6640