🍻 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: 0.4012
 - Accuracy: 0.8630

all_results.json

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 }

eval_results.json

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 }

runs/Aug25_20-19-53_efc4e22f6314/events.out.tfevents.1724617448.efc4e22f6314.169.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:751de3e9486e2a85a0a9eac3ca91e202cc47e627849ea606bb81e776d233292c
+size 411

train_results.json

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+    "train_steps_per_second": 1.173
 }

trainer_state.json

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