Training complete

README.md

@@ -20,11 +20,11 @@ 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: 0.0638
-- Precision: 0.9377
-- Recall: 0.9500
-- F1: 0.9438
-- Accuracy: 0.9858
+- Loss: 0.0622
+- Precision: 0.9325
+- Recall: 0.9504
+- F1: 0.9413
+- Accuracy: 0.9863
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0737        | 1.0   | 1756 | 0.0652          | 0.9077    | 0.9335 | 0.9204 | 0.9817   |
-| 0.0358        | 2.0   | 3512 | 0.0679          | 0.9307    | 0.9450 | 0.9378 | 0.9850   |
-| 0.0209        | 3.0   | 5268 | 0.0638          | 0.9377    | 0.9500 | 0.9438 | 0.9858   |
+| 0.0752        | 1.0   | 1756 | 0.0633          | 0.9163    | 0.9377 | 0.9269 | 0.9828   |
+| 0.0356        | 2.0   | 3512 | 0.0638          | 0.9365    | 0.9482 | 0.9423 | 0.9857   |
+| 0.022         | 3.0   | 5268 | 0.0622          | 0.9325    | 0.9504 | 0.9413 | 0.9863   |
 
 
 ### Framework versions