🍻 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: 0.8082191780821918
+      value: 0.821917808219178
 ---
 
 <!-- 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: 0.4612
-- Accuracy: 0.8082
+- Loss: 0.4000
+- Accuracy: 0.8219
 
 ## Model description
 

all_results.json

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eval_results.json

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 }

runs/Aug23_12-38-04_ae625ff6b526/events.out.tfevents.1724424987.ae625ff6b526.515.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:00616c021517846282f44a87422410ad99f118ed766cf097f1d565cb824b2c99
+size 411

train_results.json

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 }

trainer_state.json

@@ -1,6 +1,6 @@
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+  "best_model_checkpoint": "realFake-food/checkpoint-100",
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