Model save

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9940257352941176
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +33,8 @@ 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: 0.0188
-- Accuracy: 0.9940
+- Loss: 0.1338
+- Accuracy: 1.0
 
 ## Model description
 
@@ -53,28 +54,27 @@ 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: 5
+- eval_batch_size: 5
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
+- total_train_batch_size: 20
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0616        | 1.0   | 153  | 0.0168          | 0.9945   |
-| 0.0374        | 2.0   | 306  | 0.0225          | 0.9931   |
-| 0.0263        | 3.0   | 459  | 0.0188          | 0.9940   |
+| No log        | 1.0   | 2    | 0.2998          | 1.0      |
+| No log        | 2.0   | 4    | 0.1338          | 1.0      |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 1.12.1+cu113
-- Datasets 2.17.1
-- Tokenizers 0.14.1
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.0