End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5296428571428572
+      value: 0.48717948717948717
 ---
 
 <!-- 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 [google/efficientnet-b2](https://huggingface.co/google/efficientnet-b2) on the image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6920
-- Accuracy: 0.5296
+- Loss: 0.6971
+- Accuracy: 0.4872
 
 ## Model description
 
@@ -61,7 +61,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 1000
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 

all_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 3.0,
-    "eval_accuracy": 0.5296428571428572,
-    "eval_loss": 0.6920002102851868,
-    "eval_runtime": 16.5991,
-    "eval_samples_per_second": 168.683,
-    "eval_steps_per_second": 5.301
+    "epoch": 3.82,
+    "eval_accuracy": 0.48717948717948717,
+    "eval_loss": 0.6970879435539246,
+    "eval_runtime": 6.463,
+    "eval_samples_per_second": 66.378,
+    "eval_steps_per_second": 2.166
 }

config.json

@@ -26,8 +26,8 @@
   "hidden_act": "swish",
   "hidden_dim": 1408,
   "id2label": {
-    "0": "fake",
-    "1": "real"
+    "0": "man",
+    "1": "woman"
   },
   "image_size": 260,
   "in_channels": [
@@ -50,8 +50,8 @@
     3
   ],
   "label2id": {
-    "fake": 0,
-    "real": 1
+    "man": 0,
+    "woman": 1
   },
   "model_type": "efficientnet",
   "num_block_repeats": [

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 3.0,
-    "eval_accuracy": 0.5296428571428572,
-    "eval_loss": 0.6920002102851868,
-    "eval_runtime": 16.5991,
-    "eval_samples_per_second": 168.683,
-    "eval_steps_per_second": 5.301
+    "epoch": 3.82,
+    "eval_accuracy": 0.48717948717948717,
+    "eval_loss": 0.6970879435539246,
+    "eval_runtime": 6.463,
+    "eval_samples_per_second": 66.378,
+    "eval_steps_per_second": 2.166
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 31151640

training_args.bin

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