Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.36363636363636365
+      value: 1.0
 ---
 
 <!-- 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 [nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat](https://huggingface.co/nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4926
-- Accuracy: 0.3636
+- Loss: 0.2589
+- Accuracy: 1.0
 
 ## 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    | 3.4653          | 0.0      |
-| No log        | 2.0   | 3    | 1.8359          | 0.2727   |
-| No log        | 3.0   | 5    | 1.4926          | 0.3636   |
+| No log        | 1.0   | 1    | 1.4926          | 0.3636   |
+| No log        | 2.0   | 3    | 0.4500          | 1.0      |
+| No log        | 3.0   | 5    | 0.2589          | 1.0      |
 
 
 ### Framework versions

runs/Nov15_16-54-58_842987acb68e/events.out.tfevents.1700067314.842987acb68e.893.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5734
+oid sha256:9093261837f06daa5176f2511b7887bc4860a74634461647fccccd0fe8555adb
+size 6399