End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8727019498607242
+      value: 0.8704735376044568
 ---
 
 <!-- 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 [shi-labs/nat-mini-in1k-224](https://huggingface.co/shi-labs/nat-mini-in1k-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7304
-- Accuracy: 0.8727
+- Loss: 0.6286
+- Accuracy: 0.8705
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1019        | 1.0   | 1562 | 0.3526          | 0.8976   |
-| 0.0679        | 2.0   | 3125 | 0.6288          | 0.8837   |
-| 0.0461        | 3.0   | 4686 | 0.7304          | 0.8727   |
+| 0.1151        | 1.0   | 1562 | 0.2480          | 0.9242   |
+| 0.0453        | 2.0   | 3125 | 0.5128          | 0.8816   |
+| 0.0466        | 3.0   | 4686 | 0.6286          | 0.8705   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f961b5f660f44972a85829d5a2a9d4967fde06f191404173ccba0e546a45a4c4
+oid sha256:450132da9d680de252ab53298c3bb57635d1353020cc179187c59a87aaccfb82
 size 77942388