End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8864902506963789
+      value: 0.8727019498607242
 ---
 
 <!-- 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: 1.0217
-- Accuracy: 0.8865
+- Loss: 0.7304
+- Accuracy: 0.8727
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1604        | 1.0   | 1562 | 0.6115          | 0.8765   |
-| 0.0573        | 2.0   | 3125 | 1.1624          | 0.8731   |
-| 0.1189        | 3.0   | 4686 | 1.0217          | 0.8865   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c48d0ecd62d5c11de9d26ee90fa70d2a8657880f69474a2bc10e1b037c5dd3e1
+oid sha256:d17410834d4210129d2effa57ad068efe933f172b68cdae891135a2d102f3fca
 size 77942388