update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9755555555555555
+      value: 0.9618518518518518
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ 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 image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0706
-- Accuracy: 0.9756
+- Loss: 0.1199
+- Accuracy: 0.9619
 
 ## Model description
 
@@ -50,11 +50,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 128
+- eval_batch_size: 128
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
+- total_train_batch_size: 512
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2292        | 1.0   | 190  | 0.1030          | 0.9704   |
-| 0.1582        | 2.0   | 380  | 0.0802          | 0.9744   |
-| 0.1463        | 3.0   | 570  | 0.0706          | 0.9756   |
+| 0.3627        | 0.99  | 47   | 0.1988          | 0.9389   |
+| 0.2202        | 1.99  | 94   | 0.1280          | 0.9604   |
+| 0.1948        | 2.99  | 141  | 0.1199          | 0.9619   |
 
 
 ### Framework versions