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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3839
-- Accuracy: 0.8270
-- F1: 0.8308
-- Precision: 0.8129
-- Recall: 0.8496
+- Loss: 0.4166
+- Accuracy: 0.8070
+- F1: 0.8142
+- Precision: 0.7852
+- Recall: 0.8454
 
 ## Model description
 
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4169        | 1.0   | 1850 | 0.3839          | 0.8270   | 0.8308 | 0.8129    | 0.8496 |
+| 0.4275        | 1.0   | 1850 | 0.4166          | 0.8070   | 0.8142 | 0.7852    | 0.8454 |
 
 
 ### Framework versions