🍻 cheers

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: dima806/deepfake_vs_real_image_detection
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -14,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: ai_real_images
       type: imagefolder
       config: default
       split: train
@@ -30,7 +31,7 @@ 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 imagefolder 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 ai_real_images dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2562
 - Accuracy: 0.9110

all_results.json

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+}

eval_results.json

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runs/Aug22_17-26-15_95d27f699f23/events.out.tfevents.1724347875.95d27f699f23.377.1

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+oid sha256:36afc7e857093bd70327a2030e830660311f25dbf03255c42703fcc6cc9f16ff
+size 411

train_results.json

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+}

trainer_state.json

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