update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8620689655172413
+      value: 0.9655172413793104
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.4872
-- Accuracy: 0.8621
+- Loss: 0.0355
+- Accuracy: 0.9655
 
 ## Model description
 
@@ -53,11 +53,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 128
-- eval_batch_size: 128
+- train_batch_size: 10
+- eval_batch_size: 10
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 512
+- total_train_batch_size: 40
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -67,20 +67,24 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 1.1700          | 0.2759   |
-| No log        | 2.0   | 3    | 1.0351          | 0.3793   |
-| No log        | 3.0   | 5    | 0.9731          | 0.5172   |
-| No log        | 4.0   | 6    | 0.9362          | 0.5172   |
-| No log        | 5.0   | 7    | 0.8890          | 0.5517   |
-| No log        | 6.0   | 9    | 0.7596          | 0.7586   |
-| 0.5024        | 7.0   | 11   | 0.6531          | 0.8621   |
-| 0.5024        | 8.0   | 12   | 0.6170          | 0.8621   |
-| 0.5024        | 9.0   | 13   | 0.5878          | 0.8966   |
-| 0.5024        | 10.0  | 15   | 0.5418          | 0.8621   |
-| 0.5024        | 11.0  | 17   | 0.5122          | 0.8621   |
-| 0.5024        | 12.0  | 18   | 0.5021          | 0.8621   |
-| 0.5024        | 13.0  | 19   | 0.4928          | 0.8621   |
-| 0.3117        | 13.33 | 20   | 0.4872          | 0.8621   |
+| No log        | 0.89  | 6    | 1.0977          | 0.5517   |
+| 1.0215        | 1.93  | 13   | 0.6858          | 0.7931   |
+| 0.6364        | 2.96  | 20   | 0.9383          | 0.6897   |
+| 0.6364        | 4.0   | 27   | 0.2391          | 0.9310   |
+| 0.2716        | 4.89  | 33   | 0.1767          | 0.8966   |
+| 0.2295        | 5.93  | 40   | 0.2729          | 0.9310   |
+| 0.2295        | 6.96  | 47   | 0.1429          | 0.9655   |
+| 0.1311        | 8.0   | 54   | 0.1929          | 0.9655   |
+| 0.1503        | 8.89  | 60   | 0.1718          | 0.9655   |
+| 0.1503        | 9.93  | 67   | 0.1631          | 0.9655   |
+| 0.1554        | 10.96 | 74   | 0.2690          | 0.9655   |
+| 0.1157        | 12.0  | 81   | 0.1331          | 0.9655   |
+| 0.1157        | 12.89 | 87   | 0.0512          | 0.9655   |
+| 0.1093        | 13.93 | 94   | 0.0273          | 1.0      |
+| 0.134         | 14.96 | 101  | 0.0356          | 0.9655   |
+| 0.134         | 16.0  | 108  | 0.0477          | 0.9655   |
+| 0.0926        | 16.89 | 114  | 0.0381          | 0.9655   |
+| 0.1363        | 17.78 | 120  | 0.0355          | 0.9655   |
 
 
 ### Framework versions