update model card README.md

README.md

@@ -29,7 +29,7 @@ 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: 0.7586
+- Loss: 0.9854
 - Accuracy: 0.4286
 
 ## Model description
@@ -50,11 +50,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 200
+- eval_batch_size: 200
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 256
+- total_train_batch_size: 800
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7586          | 0.4286   |
-| No log        | 2.0   | 2    | 0.7734          | 0.2857   |
-| No log        | 3.0   | 3    | 0.7751          | 0.2857   |
+| No log        | 1.0   | 1    | 0.8196          | 0.2857   |
+| No log        | 2.0   | 2    | 0.9640          | 0.4286   |
+| No log        | 3.0   | 3    | 0.9854          | 0.4286   |
 
 
 ### Framework versions