Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.982620320855615
+      value: 0.6072860962566845
 ---
 
 <!-- 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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0579
-- Accuracy: 0.9826
+- Loss: 3.5524
+- Accuracy: 0.6073
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0816        | 1.0   | 374  | 0.0482          | 0.9833   |
-| 0.0598        | 2.0   | 748  | 0.0632          | 0.9803   |
-| 0.0581        | 3.0   | 1122 | 0.0579          | 0.9826   |
+| 0.0693        | 1.0   | 374  | 1.3280          | 0.6898   |
+| 0.0364        | 2.0   | 748  | 3.0116          | 0.6467   |
+| 0.0302        | 3.0   | 1122 | 3.5524          | 0.6073   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c0d2b36a43bf2c464832d5061e72e4bbdab8bf19206a38a07650eff79c4fea66
+oid sha256:3f561c57bb607b56d41e861c33cec85216d889d6ddefe725c73e7810f9c537fa
 size 110342832