Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8
+      value: 0.72
 ---
 
 <!-- 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: 0.9539
-- Accuracy: 0.8
+- Loss: 0.9145
+- Accuracy: 0.72
 
 ## Model description
 
@@ -65,11 +65,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.9853          | 0.6      |
-| No log        | 2.0   | 2    | 0.9539          | 0.8      |
-| No log        | 3.0   | 3    | 0.9262          | 0.8      |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.5714 | 1    | 1.0463          | 0.52     |
+| No log        | 1.7143 | 3    | 0.9145          | 0.72     |
 
 
 ### Framework versions

model.safetensors

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 size 110345908

runs/Jul01_17-27-49_bf529328f093/events.out.tfevents.1719854881.bf529328f093.270.2

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