End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2700
-- Precision: 0.5833
-- Recall: 0.3244
-- F1: 0.4169
-- Accuracy: 0.9422
+- Loss: 0.2656
+- Precision: 0.5890
+- Recall: 0.3281
+- F1: 0.4214
+- Accuracy: 0.9429
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.2824          | 0.5111    | 0.2345 | 0.3215 | 0.9379   |
-| No log        | 2.0   | 426  | 0.2700          | 0.5833    | 0.3244 | 0.4169 | 0.9422   |
+| No log        | 1.0   | 213  | 0.2730          | 0.5805    | 0.2873 | 0.3844 | 0.9399   |
+| No log        | 2.0   | 426  | 0.2656          | 0.5890    | 0.3281 | 0.4214 | 0.9429   |
 
 
 ### Framework versions