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: 0.1830
-- Accuracy: 0.9395
-- Precision: 0.9404
-- Recall: 0.9397
-- F1: 0.9397
+- Loss: 0.1862
+- Accuracy: 0.9400
+- Precision: 0.9412
+- Recall: 0.9401
+- F1: 0.9403
 
 ## Model description
 
@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.6401        | 1.0   | 250  | 0.4404          | 0.8739   | 0.8776    | 0.8746 | 0.8741 |
-| 0.4281        | 2.0   | 500  | 0.2785          | 0.9195   | 0.9221    | 0.9197 | 0.9198 |
-| 0.3803        | 3.0   | 750  | 0.2285          | 0.9245   | 0.9268    | 0.9251 | 0.9249 |
-| 0.3044        | 4.0   | 1000 | 0.1969          | 0.9360   | 0.9379    | 0.9357 | 0.9362 |
-| 0.2596        | 5.0   | 1250 | 0.1830          | 0.9395   | 0.9404    | 0.9397 | 0.9397 |
+| 0.6303        | 1.0   | 250  | 0.4444          | 0.8729   | 0.8811    | 0.8735 | 0.8734 |
+| 0.4303        | 2.0   | 500  | 0.2761          | 0.9135   | 0.9162    | 0.9136 | 0.9136 |
+| 0.3779        | 3.0   | 750  | 0.2324          | 0.9245   | 0.9263    | 0.9252 | 0.9248 |
+| 0.3067        | 4.0   | 1000 | 0.1997          | 0.9360   | 0.9378    | 0.9358 | 0.9363 |
+| 0.2619        | 5.0   | 1250 | 0.1862          | 0.9400   | 0.9412    | 0.9401 | 0.9403 |
 
 
 ### Framework versions