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: 2.2260
-- Precision: 0.0015
+- Loss: 2.1824
+- Precision: 0.0008
 - Recall: 0.0026
-- F1: 0.0019
-- Accuracy: 0.1889
+- F1: 0.0012
+- Accuracy: 0.1630
 
 ## Model description
 
@@ -56,7 +56,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.2712        | 1.0   | 14   | 2.2260          | 0.0015    | 0.0026 | 0.0019 | 0.1889   |
+| 2.1922        | 1.0   | 14   | 2.1824          | 0.0008    | 0.0026 | 0.0012 | 0.1630   |
 
 
 ### Framework versions