Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: dima806/deepfake_vs_real_image_detection
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -15,7 +14,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: ai_real_images
+      name: imagefolder
       type: imagefolder
       config: default
       split: train
@@ -23,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8561643835616438
+      value: 0.863013698630137
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # realFake-food
 
-This model is a fine-tuned version of [dima806/deepfake_vs_real_image_detection](https://huggingface.co/dima806/deepfake_vs_real_image_detection) on the ai_real_images dataset.
+This model is a fine-tuned version of [dima806/deepfake_vs_real_image_detection](https://huggingface.co/dima806/deepfake_vs_real_image_detection) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3529
-- Accuracy: 0.8562
+- Loss: 0.4012
+- Accuracy: 0.8630
 
 ## Model description
 
@@ -66,8 +65,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.432         | 1.9231 | 100  | 0.3703          | 0.8219   |
-| 0.1588        | 3.8462 | 200  | 0.3529          | 0.8562   |
+| 0.398         | 1.9231 | 100  | 0.5323          | 0.7740   |
+| 0.2281        | 3.8462 | 200  | 0.4012          | 0.8630   |
 
 
 ### Framework versions

model.safetensors

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 size 343223968

runs/Aug25_20-19-53_efc4e22f6314/events.out.tfevents.1724617232.efc4e22f6314.169.0

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+size 10083

training_args.bin

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 size 5112