Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3486
-- Accuracy: 0.701
-- Precision: 0.7150
-- Recall: 0.7084
-- F1: 0.6938
+- Loss: 1.3480
+- Accuracy: 0.708
+- Precision: 0.7226
+- Recall: 0.7142
+- F1: 0.6994
 
 ## Model description
 
@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 3.5739        | 1.0   | 125  | 3.3357          | 0.285    | 0.2941    | 0.2850 | 0.2516 |
-| 2.3021        | 2.0   | 250  | 2.1181          | 0.539    | 0.5835    | 0.5471 | 0.5192 |
-| 1.832         | 3.0   | 375  | 1.6195          | 0.658    | 0.6774    | 0.6692 | 0.6492 |
-| 1.4719        | 4.0   | 500  | 1.4212          | 0.689    | 0.7076    | 0.6984 | 0.6801 |
-| 1.3378        | 5.0   | 625  | 1.3486          | 0.701    | 0.7150    | 0.7084 | 0.6938 |
+| 3.5765        | 1.0   | 125  | 3.3326          | 0.293    | 0.3422    | 0.2932 | 0.2604 |
+| 2.29          | 2.0   | 250  | 2.1112          | 0.539    | 0.5769    | 0.5460 | 0.5180 |
+| 1.8212        | 3.0   | 375  | 1.6097          | 0.657    | 0.6790    | 0.6674 | 0.6465 |
+| 1.4779        | 4.0   | 500  | 1.4234          | 0.688    | 0.7060    | 0.6974 | 0.6802 |
+| 1.3378        | 5.0   | 625  | 1.3480          | 0.708    | 0.7226    | 0.7142 | 0.6994 |
 
 
 ### Framework versions