Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9752066115702479
+      value: 0.9512195121951219
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Organika/sdxl-detector](https://huggingface.co/Organika/sdxl-detector) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2485
-- Accuracy: 0.9752
+- Loss: 0.0688
+- Accuracy: 0.9512
 
 ## Model description
 
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0141        | 2.2727 | 50   | 0.2485          | 0.9752   |
+| 0.0004        | 2.0833 | 50   | 0.0688          | 0.9512   |
 
 
 ### Framework versions

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 3.0,
-    "eval_accuracy": 1.0,
-    "eval_loss": 0.000129295774968341,
-    "eval_runtime": 3.1734,
-    "eval_samples_per_second": 38.129,
-    "eval_steps_per_second": 5.042,
+    "eval_accuracy": 0.9752066115702479,
+    "eval_loss": 0.31071361899375916,
+    "eval_runtime": 1.9227,
+    "eval_samples_per_second": 62.934,
+    "eval_steps_per_second": 8.322,
     "total_flos": 1.5982493348118528e+17,
-    "train_loss": 0.07911565561186183,
-    "train_runtime": 65.9385,
-    "train_samples_per_second": 30.938,
-    "train_steps_per_second": 1.001
+    "train_loss": 0.12485574473711578,
+    "train_runtime": 55.5816,
+    "train_samples_per_second": 36.703,
+    "train_steps_per_second": 1.187
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 3.0,
-    "eval_accuracy": 1.0,
-    "eval_loss": 0.000129295774968341,
-    "eval_runtime": 3.1734,
-    "eval_samples_per_second": 38.129,
-    "eval_steps_per_second": 5.042
+    "eval_accuracy": 0.9752066115702479,
+    "eval_loss": 0.31071361899375916,
+    "eval_runtime": 1.9227,
+    "eval_samples_per_second": 62.934,
+    "eval_steps_per_second": 8.322
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:229caa9409e25ff1f3b2271f08fbe14e69b015b83d5549a2028075de87b318d4
+oid sha256:1c0d5afa003852c9e93880ca1baf5ebee5fc86a57f4ce8e517fca7d5664ea23b
 size 347498816

runs/Dec31_08-40-59_3dcd8bc8b582/events.out.tfevents.1735634547.3dcd8bc8b582.14185.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:88d41c0eaea6276d4fd9a0b7a11f24a0e8563919409df48bf964556944e86a30
+size 405

runs/Dec31_08-48-02_3dcd8bc8b582/events.out.tfevents.1735634884.3dcd8bc8b582.17951.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbbb6fe0c4e771767f6d4210f331362f9dbdb104073a6ab96a2a498e24a2b95a
+size 7645

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 3.0,
     "total_flos": 1.5982493348118528e+17,
-    "train_loss": 0.07911565561186183,
-    "train_runtime": 65.9385,
-    "train_samples_per_second": 30.938,
-    "train_steps_per_second": 1.001
+    "train_loss": 0.12485574473711578,
+    "train_runtime": 55.5816,
+    "train_samples_per_second": 36.703,
+    "train_steps_per_second": 1.187
 }

trainer_state.json

@@ -1,5 +1,5 @@
 {
-  "best_metric": 8.1218960986007e-05,
+  "best_metric": 0.2485116571187973,
   "best_model_checkpoint": "finetuned-ai-real-swin/checkpoint-50",
   "epoch": 3.0,
   "eval_steps": 50,
@@ -10,63 +10,63 @@
   "log_history": [
     {
       "epoch": 0.45454545454545453,
-      "grad_norm": 15.097875595092773,
-      "learning_rate": 0.00017272727272727275,
-      "loss": 0.2428,
+      "grad_norm": 0.09391414374113083,
+      "learning_rate": 0.0001787878787878788,
+      "loss": 0.7516,
       "step": 10
     },
     {
       "epoch": 0.9090909090909091,
-      "grad_norm": 2.583950996398926,
-      "learning_rate": 0.00014242424242424243,
-      "loss": 0.032,
+      "grad_norm": 0.2578066289424896,
+      "learning_rate": 0.00014848484848484849,
+      "loss": 0.0201,
       "step": 20
     },
     {
       "epoch": 1.3636363636363638,
-      "grad_norm": 0.0005581710720434785,
+      "grad_norm": 0.00015799676475580782,
       "learning_rate": 0.0001181818181818182,
-      "loss": 0.0741,
+      "loss": 0.0052,
       "step": 30
     },
     {
       "epoch": 1.8181818181818183,
-      "grad_norm": 0.25307825207710266,
+      "grad_norm": 1.3355179362406489e-05,
       "learning_rate": 8.787878787878789e-05,
-      "loss": 0.1721,
+      "loss": 0.0149,
       "step": 40
     },
     {
       "epoch": 2.2727272727272725,
-      "grad_norm": 0.11153484135866165,
+      "grad_norm": 1.1458600759506226,
       "learning_rate": 5.757575757575758e-05,
-      "loss": 0.0009,
+      "loss": 0.0141,
       "step": 50
     },
     {
       "epoch": 2.2727272727272725,
-      "eval_accuracy": 1.0,
-      "eval_loss": 8.1218960986007e-05,
-      "eval_runtime": 2.2287,
-      "eval_samples_per_second": 54.292,
-      "eval_steps_per_second": 7.179,
+      "eval_accuracy": 0.9752066115702479,
+      "eval_loss": 0.2485116571187973,
+      "eval_runtime": 1.6634,
+      "eval_samples_per_second": 72.74,
+      "eval_steps_per_second": 9.619,
       "step": 50
     },
     {
       "epoch": 2.7272727272727275,
-      "grad_norm": 0.003770518582314253,
+      "grad_norm": 0.00010308358469046652,
       "learning_rate": 2.7272727272727273e-05,
-      "loss": 0.0002,
+      "loss": 0.0159,
       "step": 60
     },
     {
       "epoch": 3.0,
       "step": 66,
       "total_flos": 1.5982493348118528e+17,
-      "train_loss": 0.07911565561186183,
-      "train_runtime": 65.9385,
-      "train_samples_per_second": 30.938,
-      "train_steps_per_second": 1.001
+      "train_loss": 0.12485574473711578,
+      "train_runtime": 55.5816,
+      "train_samples_per_second": 36.703,
+      "train_steps_per_second": 1.187
     }
   ],
   "logging_steps": 10,

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aac1e3d03f13e22039e314aa587e786c0df1cabd5fbeb7624e362f11b696d660
+oid sha256:453edbc1a40ec9e9d35d0eac1858488e1bdff22c800823f36c0c43386b9fbebe
 size 5304