Model save

README.md

@@ -8,6 +8,9 @@ datasets:
 - imagefolder
 metrics:
 - accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-eurosat
   results:
@@ -24,6 +27,15 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 1.0
+    - name: Precision
+      type: precision
+      value: 1.0
+    - name: Recall
+      type: recall
+      value: 1.0
+    - name: F1
+      type: f1
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +45,11 @@ 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: 0.0764
+- Loss: 0.0022
 - Accuracy: 1.0
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
 
 ## Model description
 
@@ -66,13 +81,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9231 | 3    | 0.4630          | 0.6591   |
-| No log        | 1.8462 | 6    | 0.2474          | 0.9091   |
-| No log        | 2.7692 | 9    | 0.0764          | 1.0      |
-| 0.3656        | 4.0    | 13   | 0.0394          | 1.0      |
-| 0.3656        | 4.6154 | 15   | 0.0374          | 1.0      |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 0.9231 | 3    | 0.1306          | 0.9318   | 0.9386    | 0.9318 | 0.9303 |
+| No log        | 1.8462 | 6    | 0.0053          | 1.0      | 1.0       | 1.0    | 1.0    |
+| No log        | 2.7692 | 9    | 0.0017          | 1.0      | 1.0       | 1.0    | 1.0    |
+| 0.0353        | 4.0    | 13   | 0.0021          | 1.0      | 1.0       | 1.0    | 1.0    |
+| 0.0353        | 4.6154 | 15   | 0.0022          | 1.0      | 1.0       | 1.0    | 1.0    |
 
 
 ### Framework versions

model.safetensors

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 size 110342832

runs/Oct24_07-24-26_7919de6d5c0a/events.out.tfevents.1729755735.7919de6d5c0a.285.3

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 version https://git-lfs.github.com/spec/v1
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