Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9859259259259259
+      value: 0.7727272727272727
 ---
 
 <!-- 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: 0.0446
-- Accuracy: 0.9859
+- Loss: 0.5184
+- Accuracy: 0.7727
 
 ## Model description
 
@@ -67,9 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1099        | 1.0   | 190  | 0.1325          | 0.9607   |
-| 0.0727        | 2.0   | 380  | 0.0611          | 0.9778   |
-| 0.0319        | 3.0   | 570  | 0.0446          | 0.9859   |
+| No log        | 0.67  | 1    | 0.6793          | 0.5      |
+| No log        | 2.0   | 3    | 0.5184          | 0.7727   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 110342832

runs/Jan09_16-59-27_315083aa3976/events.out.tfevents.1704819583.315083aa3976.4375.2

@@ -1,3 +1,3 @@
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