End of training

README.md

@@ -19,10 +19,10 @@ 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: 0.3184
-- Precision: 0.8894
-- Recall: 0.8897
-- F1: 0.8894
+- Loss: 0.3179
+- Precision: 0.8880
+- Recall: 0.8902
+- F1: 0.8891
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|
-| 0.3301        | 0.9990 | 512  | 0.3780          | 0.8509    | 0.8697 | 0.8514 |
-| 0.3103        | 2.0    | 1025 | 0.2916          | 0.8907    | 0.8848 | 0.8870 |
-| 0.1607        | 2.9971 | 1536 | 0.3184          | 0.8894    | 0.8897 | 0.8894 |
+| 0.3727        | 0.9990 | 512  | 0.3047          | 0.8582    | 0.8804 | 0.8546 |
+| 0.2802        | 2.0    | 1025 | 0.3083          | 0.8914    | 0.8780 | 0.8837 |
+| 0.1985        | 2.9971 | 1536 | 0.3179          | 0.8880    | 0.8902 | 0.8891 |
 
 
 ### Framework versions