Model save

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.9619047619047619
     - name: Precision
       type: precision
-      value: 1.0
+      value: 0.9583926593893372
     - name: Recall
       type: recall
-      value: 1.0
+      value: 0.9619047619047619
     - name: F1
       type: f1
-      value: 1.0
+      value: 0.9587351719211175
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +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: 0.0053
-- Accuracy: 1.0
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
+- Loss: 0.0711
+- Accuracy: 0.9619
+- Precision: 0.9584
+- Recall: 0.9619
+- F1: 0.9587
 
 ## Model description
 
@@ -77,17 +77,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
 | 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    |
+| 0.2262        | 0.9888 | 22   | 0.2061          | 0.9365   | 0.8770    | 0.9365 | 0.9058 |
+| 0.1666        | 1.9775 | 44   | 0.1274          | 0.9333   | 0.8769    | 0.9333 | 0.9042 |
+| 0.1168        | 2.9663 | 66   | 0.1054          | 0.9524   | 0.9461    | 0.9524 | 0.9438 |
+| 0.0984        | 4.0    | 89   | 0.0824          | 0.9619   | 0.9591    | 0.9619 | 0.9599 |
+| 0.1028        | 4.9888 | 111  | 0.0814          | 0.9714   | 0.9697    | 0.9714 | 0.9695 |
+| 0.1082        | 5.9775 | 133  | 0.0835          | 0.9492   | 0.9518    | 0.9492 | 0.9329 |
+| 0.0962        | 6.9663 | 155  | 0.0872          | 0.9587   | 0.9578    | 0.9587 | 0.9582 |
+| 0.0799        | 8.0    | 178  | 0.0803          | 0.9587   | 0.9543    | 0.9587 | 0.9546 |
+| 0.0954        | 8.9888 | 200  | 0.0685          | 0.9619   | 0.9584    | 0.9619 | 0.9587 |
+| 0.0771        | 9.8876 | 220  | 0.0711          | 0.9619   | 0.9584    | 0.9619 | 0.9587 |
 
 
 ### Framework versions

model.safetensors

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 size 110342832

runs/Oct25_10-28-31_254845bf780a/events.out.tfevents.1729852157.254845bf780a.231.1

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