Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9041095890410958
+      value: 0.8767123287671232
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.2871
-- Accuracy: 0.9041
+- Loss: 0.3944
+- Accuracy: 0.8767
 
 ## Model description
 
@@ -65,8 +65,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.3274        | 1.9231 | 100  | 0.2865          | 0.8973   |
-| 0.1122        | 3.8462 | 200  | 0.2871          | 0.9041   |
+| 0.1549        | 1.9231 | 100  | 0.2681          | 0.9178   |
+| 0.0406        | 3.8462 | 200  | 0.3944          | 0.8767   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ca062738164ad5034afdf892ff8d82d9f1499509ff31adc0172181d3a7e123a8
 size 343223968

runs/Aug22_17-43-12_95d27f699f23/events.out.tfevents.1724351770.95d27f699f23.377.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0d50f0f689c5726c1beda5bc1e78fe4338ad9c614489f260dc6d1caebe37081
+size 10083