Training complete

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0717
-- Precision: 0.8057
-- Recall: 0.8122
-- F1: 0.8090
-- Accuracy: 0.9784
+- Loss: 0.0716
+- Precision: 0.8064
+- Recall: 0.8175
+- F1: 0.8119
+- Accuracy: 0.9787
 
 ## Model description
 
@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 231  | 0.0979          | 0.7350    | 0.7877 | 0.7604 | 0.9708   |
-| No log        | 2.0   | 462  | 0.0717          | 0.8057    | 0.8122 | 0.8090 | 0.9784   |
+| No log        | 1.0   | 231  | 0.0922          | 0.7461    | 0.7911 | 0.7680 | 0.9725   |
+| No log        | 2.0   | 462  | 0.0716          | 0.8064    | 0.8175 | 0.8119 | 0.9787   |
 
 
 ### Framework versions

runs/Sep05_11-51-11_83295d15965e/events.out.tfevents.1725537073.83295d15965e.5325.0

@@ -1,3 +1,3 @@
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