Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.8710801393728222
 ---
 
 <!-- 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: 0.5414
-- Accuracy: 1.0
+- Loss: 0.3400
+- Accuracy: 0.8711
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7171          | 0.2      |
-| No log        | 2.0   | 2    | 0.5414          | 1.0      |
-| No log        | 3.0   | 3    | 0.4681          | 1.0      |
+| 0.8451        | 0.99  | 20   | 0.5741          | 0.7875   |
+| 0.4621        | 1.98  | 40   | 0.4579          | 0.8049   |
+| 0.3736        | 2.96  | 60   | 0.3400          | 0.8711   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ecf9019548f369b45aa74e2e56e7c13fb7dfa15641640be78654deabe159261e
+oid sha256:2184164f3f09823b27628f6c3c82193e81e2ddadc6c05452b80e581e092376ca
 size 110348984

runs/Apr08_12-28-18_90600695b4f6/events.out.tfevents.1712579299.90600695b4f6.424.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b58a889be011c880297e7d703c5c0ebbcfdd23133f020540efc03d35370caf3f
-size 5885
+oid sha256:076ab9a3b98ae87d67100a2ff0f37b8a0b47e1ff6b31c4a933113bb417b32069
+size 7695