End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4618
-- Accuracy: 0.8529
-- F1: 0.8976
+- Loss: 0.4707
+- Accuracy: 0.8505
+- F1: 0.8961
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5261        | 1.0   | 230  | 0.3967          | 0.8162   | 0.8677 |
-| 0.2972        | 2.0   | 460  | 0.4065          | 0.8333   | 0.8855 |
-| 0.1588        | 3.0   | 690  | 0.4618          | 0.8529   | 0.8976 |
+| 0.5734        | 1.0   | 230  | 0.4219          | 0.8260   | 0.8757 |
+| 0.3508        | 2.0   | 460  | 0.3693          | 0.8382   | 0.8870 |
+| 0.1863        | 3.0   | 690  | 0.4707          | 0.8505   | 0.8961 |
 
 
 ### Framework versions

model.safetensors

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runs/May31_23-16-45_DESKTOP-E3PR3AO/events.out.tfevents.1717165009.DESKTOP-E3PR3AO.2288.0

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