Update README.md

README.md

@@ -5,7 +5,7 @@ base_model: microsoft/swin-base-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
-- imagefolder
+- kedimestan/RetinoblastomaHealthyImageDataset
 metrics:
 - accuracy
 model-index:
@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,26 +31,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-base-patch4-window7-224
 
-This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the imagefolder dataset.
-It achieves the following results on the evaluation set:
+Bu model, [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) modelin retinoblastoma veri seti için ince ayar yapılmış versiyonudur.
+Test veri setindeki sonuçları aşağıdaki gibidir:
 - Loss: 0.3809
 - Accuracy: 1.0
 
 ## Model description
 
-More information needed
+Swin tabanlı bir modeldir. 5e-5 öğrenme oranı ile 10 epoch ile eğitim yapıldı. Optimizasyon için Adam kullanıldı. veri seti %80-%20 olacak şekilde sırasyıla eğitim ve test verisetine bölündü.
 
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
@@ -81,4 +70,4 @@ The following hyperparameters were used during training:
 - Transformers 4.44.2
 - Pytorch 2.4.1+cu121
 - Datasets 3.2.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1