End of training

README.md

@@ -18,9 +18,9 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4072
-- Accuracy: 0.8176
-- F1: 0.8227
+- Loss: 0.4202
+- Accuracy: 0.8081
+- F1: 0.8103
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 0.3517        | 1.0   | 6787  | 0.4096          | 0.8138   | 0.8231 |
-| 0.3602        | 2.0   | 13574 | 0.4072          | 0.8176   | 0.8227 |
+| 0.4914        | 1.0   | 6787  | 0.4638          | 0.7912   | 0.8062 |
+| 0.4207        | 2.0   | 13574 | 0.4202          | 0.8081   | 0.8103 |
 
 
 ### Framework versions