Model save

README.md

@@ -1,6 +1,4 @@
 ---
-license: apache-2.0
-base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7727272727272727
+      value: 0.6818181818181818
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-tiny-patch4-window7-224-finetuned-eurosat-kornia
 
-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 was trained from scratch on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5770
-- Accuracy: 0.7727
+- Loss: 0.6445
+- Accuracy: 0.6818
 
 ## Model description
 
@@ -61,15 +59,17 @@ 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   | 3    | 2.8754          | 0.2727   |
-| No log        | 2.0   | 6    | 0.5872          | 0.7273   |
-| No log        | 3.0   | 9    | 0.5770          | 0.7727   |
+| No log        | 1.0   | 3    | 1.6664          | 0.5455   |
+| No log        | 2.0   | 6    | 0.7899          | 0.7273   |
+| No log        | 3.0   | 9    | 0.7704          | 0.7273   |
+| 0.3108        | 4.0   | 12   | 0.6269          | 0.7273   |
+| 0.3108        | 5.0   | 15   | 0.6445          | 0.6818   |
 
 
 ### Framework versions

model.safetensors

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