Model save

README.md

@@ -3,11 +3,26 @@ license: apache-2.0
 base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
+datasets:
+- imagefolder
 metrics:
 - accuracy
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-eurosat
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8398692810457516
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +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 an unknown dataset.
+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: 0.3378
-- Accuracy: 0.9120
+- Loss: 0.3353
+- Accuracy: 0.8399
 
 ## Model description
 
@@ -37,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 5e-05
 - train_batch_size: 64
 - eval_batch_size: 64
 - seed: 42
@@ -46,22 +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: 10
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0511        | 1.0   | 100  | 0.5181          | 0.8720   |
-| 0.1166        | 2.0   | 200  | 0.4709          | 0.8717   |
-| 0.1189        | 2.99  | 300  | 0.4162          | 0.8839   |
-| 0.1306        | 4.0   | 401  | 0.4251          | 0.8808   |
-| 0.1063        | 5.0   | 501  | 0.4186          | 0.8888   |
-| 0.1188        | 6.0   | 601  | 0.4293          | 0.8843   |
-| 0.1293        | 6.99  | 701  | 0.3595          | 0.9032   |
-| 0.1094        | 8.0   | 802  | 0.3666          | 0.8994   |
-| 0.1047        | 9.0   | 902  | 0.3615          | 0.9022   |
-| 0.0925        | 9.98  | 1000 | 0.3378          | 0.9120   |
+| 0.7396        | 0.93  | 10   | 0.3929          | 0.8497   |
+| 0.2666        | 1.95  | 21   | 0.2897          | 0.8660   |
+| 0.2275        | 2.79  | 30   | 0.3353          | 0.8399   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c17510ef7fd46937c1892a13f9736e512f1b4301cb1395de7ef6b772f105a8c
+oid sha256:4971a38498f5c17f015c67f34cb4fb288db8c6e624241571f4455fe7ce28f2f7
 size 110345908