End of training

README.md

@@ -19,9 +19,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2487
-- Accuracy: 0.9192
-- F1: 0.9192
+- Loss: 0.2501
+- Accuracy: 0.9203
+- F1: 0.9203
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2713          | 0.9118   | 0.9118 |
-| 0.3027        | 2.0   | 626  | 0.2487          | 0.9192   | 0.9192 |
+| No log        | 1.0   | 313  | 0.2672          | 0.9118   | 0.9116 |
+| 0.3065        | 2.0   | 626  | 0.2501          | 0.9203   | 0.9203 |
 
 
 ### Framework versions