🍻 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
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8767123287671232
+      value: 0.9178082191780822
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +31,10 @@ 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 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: 0.3944
-- Accuracy: 0.8767
+- Loss: 0.2681
+- Accuracy: 0.9178
 
 ## Model description
 

all_results.json

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 }

eval_results.json

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 }

runs/Aug22_17-43-12_95d27f699f23/events.out.tfevents.1724352059.95d27f699f23.377.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:870c5215aaed1c99f3db1ce46b0fd96464da2c9f9b49b40c5b6a8c3a855efcf0
+size 411

train_results.json

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+    "train_steps_per_second": 1.169
 }

trainer_state.json

@@ -1,6 +1,6 @@
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