Training finish!

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: 0.0711
-- Precision: 0.8851
-- Recall: 0.9216
-- F1: 0.9030
-- Accuracy: 0.9802
+- Loss: 0.0719
+- Precision: 0.8805
+- Recall: 0.9236
+- F1: 0.9015
+- Accuracy: 0.9807
 
 ## Model description
 
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2275        | 1.0   | 878  | 0.0711          | 0.8851    | 0.9216 | 0.9030 | 0.9802   |
+| 0.2227        | 1.0   | 878  | 0.0719          | 0.8805    | 0.9236 | 0.9015 | 0.9807   |
 
 
 ### Framework versions