Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: mansee/swin-tiny-patch4-window7-224-img_orientation
+base_model: mansee/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7794067507671326
+      value: 0.7774538386783285
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-tiny-patch4-window7-224-img_orientation
 
-This model is a fine-tuned version of [mansee/swin-tiny-patch4-window7-224-img_orientation](https://huggingface.co/mansee/swin-tiny-patch4-window7-224-img_orientation) on the imagefolder dataset.
+This model is a fine-tuned version of [mansee/swin-tiny-patch4-window7-224](https://huggingface.co/mansee/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4538
-- Accuracy: 0.7794
+- Loss: 0.3917
+- Accuracy: 0.7775
 
 ## Model description
 
@@ -61,27 +61,20 @@ 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: 10
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3217        | 1.0   | 412  | 0.4922          | 0.7533   |
-| 0.3716        | 2.0   | 825  | 0.4986          | 0.7601   |
-| 0.3756        | 3.0   | 1237 | 0.4427          | 0.7762   |
-| 0.3926        | 4.0   | 1650 | 0.4515          | 0.7733   |
-| 0.3859        | 5.0   | 2062 | 0.4394          | 0.7717   |
-| 0.3822        | 6.0   | 2475 | 0.4410          | 0.7784   |
-| 0.3804        | 7.0   | 2887 | 0.4561          | 0.7767   |
-| 0.3231        | 8.0   | 3300 | 0.4505          | 0.7784   |
-| 0.3295        | 9.0   | 3712 | 0.4607          | 0.7789   |
-| 0.321         | 9.99  | 4120 | 0.4538          | 0.7794   |
+| 0.5654        | 1.0   | 506  | 0.4642          | 0.7357   |
+| 0.5194        | 2.0   | 1013 | 0.4098          | 0.7676   |
+| 0.4478        | 3.0   | 1518 | 0.3917          | 0.7775   |
 
 
 ### Framework versions
 
-- Transformers 4.32.1
+- Transformers 4.33.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
 - Tokenizers 0.13.3