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: 0.5326
-- Accuracy: 0.8529
-- F1: 0.8997
+- Loss: 0.5575
+- Accuracy: 0.8358
+- F1: 0.8862
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5726        | 1.0   | 230  | 0.4435          | 0.8039   | 0.8667 |
-| 0.3639        | 2.0   | 460  | 0.4053          | 0.8456   | 0.8919 |
-| 0.2098        | 3.0   | 690  | 0.5326          | 0.8529   | 0.8997 |
+| 0.5723        | 1.0   | 230  | 0.4800          | 0.7696   | 0.8503 |
+| 0.3686        | 2.0   | 460  | 0.4845          | 0.8186   | 0.8775 |
+| 0.2087        | 3.0   | 690  | 0.5575          | 0.8358   | 0.8862 |
 
 
 ### Framework versions

model.safetensors

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runs/May31_23-58-30_DESKTOP-E3PR3AO/events.out.tfevents.1717167512.DESKTOP-E3PR3AO.7692.0

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