Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9586165533786486
+      value: 0.9476209516193522
 ---
 
 <!-- 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: 0.1048
-- Accuracy: 0.9586
+- Loss: 0.1349
+- Accuracy: 0.9476
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1516        | 1.0   | 51   | 0.1048          | 0.9586   |
-| 0.1099        | 2.0   | 102  | 0.1411          | 0.9446   |
-| 0.0999        | 3.0   | 153  | 0.1147          | 0.9552   |
+| 0.2131        | 1.0   | 51   | 0.1843          | 0.9320   |
+| 0.1521        | 2.0   | 102  | 0.1215          | 0.9552   |
+| 0.1318        | 3.0   | 153  | 0.1349          | 0.9476   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ca2183f9c607d87c14e18e55b1d7164a9a53f3cd82de450c2e2ccff744024409
 size 110342832

runs/Feb15_10-05-12_staff/events.out.tfevents.1707963212.staff.1390720.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 8099
+oid sha256:29b09a04a22ee662da98e3f9e4d035e97ed33ffbf762ac11999293c212e69481
+size 8453