Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.920751633986928
+      value: 0.9117647058823529
 ---
 
 <!-- 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: 0.2175
-- Accuracy: 0.9208
+- Loss: 0.2755
+- Accuracy: 0.9118
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4278        | 1.0   | 86   | 0.3300          | 0.8889   |
-| 0.3466        | 2.0   | 172  | 0.2321          | 0.9281   |
-| 0.3432        | 3.0   | 258  | 0.2175          | 0.9208   |
+| 0.4799        | 1.0   | 86   | 0.3544          | 0.8824   |
+| 0.3613        | 2.0   | 172  | 0.2977          | 0.9003   |
+| 0.2909        | 3.0   | 258  | 0.2755          | 0.9118   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 110364364

runs/Apr19_11-37-55_ipurwadi.local/events.out.tfevents.1713501482.ipurwadi.local.94438.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+size 11914