End of training

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1646
-- Precision: 0.0188
-- Recall: 0.0512
-- F1: 0.0275
-- Accuracy: 0.2470
+- Loss: 2.3019
+- Precision: 0.0022
+- Recall: 0.0102
+- F1: 0.0036
+- Accuracy: 0.0435
 
 ## Model description
 
@@ -56,7 +56,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.1758        | 1.0   | 14   | 2.1646          | 0.0188    | 0.0512 | 0.0275 | 0.2470   |
+| 2.3138        | 1.0   | 14   | 2.3019          | 0.0022    | 0.0102 | 0.0036 | 0.0435   |
 
 
 ### Framework versions