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: 0.2469
-- Accuracy: 0.9195
-- F1: 0.9194
+- Loss: 0.2416
+- Accuracy: 0.9207
+- F1: 0.9207
 
 ## 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  | 0.2635          | 0.9125   | 0.9123 |
-| 0.3016        | 2.0   | 626  | 0.2469          | 0.9195   | 0.9194 |
+| No log        | 1.0   | 313  | 0.2717          | 0.9117   | 0.9115 |
+| 0.3091        | 2.0   | 626  | 0.2416          | 0.9207   | 0.9207 |
 
 
 ### Framework versions