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
@@ -31,9 +30,9 @@ 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: 0.4012
+- Loss: 0.4853
 - Accuracy: 0.8630
 
 ## Model description
@@ -66,8 +65,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.398         | 1.9231 | 100  | 0.5323          | 0.7740   |
-| 0.2281        | 3.8462 | 200  | 0.4012          | 0.8630   |
+| 0.3941        | 1.9231 | 100  | 0.4344          | 0.8014   |
+| 0.2366        | 3.8462 | 200  | 0.4853          | 0.8630   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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runs/Aug26_13-04-48_8fb34e2ffb9c/events.out.tfevents.1724677505.8fb34e2ffb9c.600.0

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+size 10083

training_args.bin

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 size 5112