End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9592592592592593
+      value: 0.9622222222222222
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2395
-- Accuracy: 0.9593
+- Loss: 0.2257
+- Accuracy: 0.9622
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2454        | 1.0   | 190  | 0.2395          | 0.9593   |
+| 0.2446        | 1.0   | 190  | 0.2257          | 0.9622   |
 
 
 ### Framework versions

runs/Nov23_06-08-42_0a6ed5afad3f/events.out.tfevents.1700720302.0a6ed5afad3f.1360.1

@@ -0,0 +1,3 @@
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+oid sha256:0db80ed8f3d87f1cf19e976501fd185c41641da35ebcbd0937355a313c108451
+size 411