Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: microsoft/swin-tiny-patch4-window7-224
+base_model: nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8181818181818182
+      value: 0.36363636363636365
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-tiny-patch4-window7-224-finetuned-eurosat
 
-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.
+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: 0.6673
-- Accuracy: 0.8182
+- Loss: 1.4926
+- Accuracy: 0.3636
 
 ## Model description
 
@@ -61,14 +61,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.6673          | 0.8182   |
-| No log        | 2.0   | 3    | 0.7712          | 0.3636   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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 size 110367448

runs/Nov15_16-53-27_842987acb68e/events.out.tfevents.1700067220.842987acb68e.893.2

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