Model save

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-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0491
-- Accuracy: 0.9919
-- Precision: 0.9930
+- Loss: 0.0481
+- Accuracy: 0.9910
+- Precision: 0.9860
 - Recall: 0.9463
-- F1: 0.9691
+- F1: 0.9658
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 279  | 0.0433          | 0.9901   | 0.9859    | 0.9396 | 0.9622 |
-| 0.0558        | 2.0   | 558  | 0.0469          | 0.9928   | 0.9930    | 0.9530 | 0.9726 |
-| 0.0558        | 3.0   | 837  | 0.0491          | 0.9919   | 0.9930    | 0.9463 | 0.9691 |
+| No log        | 1.0   | 279  | 0.0446          | 0.9883   | 0.9658    | 0.9463 | 0.9559 |
+| 0.0571        | 2.0   | 558  | 0.0470          | 0.9919   | 0.9930    | 0.9463 | 0.9691 |
+| 0.0571        | 3.0   | 837  | 0.0481          | 0.9910   | 0.9860    | 0.9463 | 0.9658 |
 
 
 ### Framework versions