End of training

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0462
+- Loss: 0.1465
 - Accuracy: 0.9608
 
 ## Model description

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 2.4,
-    "eval_accuracy": 1.0,
-    "eval_loss": 0.0736517608165741,
-    "eval_runtime": 6.2611,
-    "eval_samples_per_second": 8.146,
-    "eval_steps_per_second": 0.319,
+    "eval_accuracy": 0.9607843137254902,
+    "eval_loss": 0.14648006856441498,
+    "eval_runtime": 5.2353,
+    "eval_samples_per_second": 9.742,
+    "eval_steps_per_second": 0.382,
     "total_flos": 2.759014777430016e+16,
-    "train_loss": 0.16354933049943712,
-    "train_runtime": 347.301,
-    "train_samples_per_second": 3.965,
-    "train_steps_per_second": 0.026
+    "train_loss": 0.222392823961046,
+    "train_runtime": 308.2344,
+    "train_samples_per_second": 4.467,
+    "train_steps_per_second": 0.029
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 2.4,
-    "eval_accuracy": 1.0,
-    "eval_loss": 0.0736517608165741,
-    "eval_runtime": 6.2611,
-    "eval_samples_per_second": 8.146,
-    "eval_steps_per_second": 0.319
+    "eval_accuracy": 0.9607843137254902,
+    "eval_loss": 0.14648006856441498,
+    "eval_runtime": 5.2353,
+    "eval_samples_per_second": 9.742,
+    "eval_steps_per_second": 0.382
 }

runs/Nov16_08-37-41_PC27LEL8/events.out.tfevents.1700142203.PC27LEL8

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e8dfeea2b72a298c68eafe312ee708a61901308dc2b86a56d5d8c6e8be3af86
+size 40

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 2.4,
     "total_flos": 2.759014777430016e+16,
-    "train_loss": 0.16354933049943712,
-    "train_runtime": 347.301,
-    "train_samples_per_second": 3.965,
-    "train_steps_per_second": 0.026
+    "train_loss": 0.222392823961046,
+    "train_runtime": 308.2344,
+    "train_samples_per_second": 4.467,
+    "train_steps_per_second": 0.029
 }

trainer_state.json

@@ -1,5 +1,5 @@
 {
-  "best_metric": 1.0,
+  "best_metric": 0.9607843137254902,
   "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat\\checkpoint-3",
   "epoch": 2.4,
   "eval_steps": 500,
@@ -10,39 +10,39 @@
   "log_history": [
     {
       "epoch": 0.8,
-      "eval_accuracy": 1.0,
-      "eval_loss": 0.0736517608165741,
-      "eval_runtime": 5.4343,
-      "eval_samples_per_second": 9.385,
-      "eval_steps_per_second": 0.368,
+      "eval_accuracy": 0.9607843137254902,
+      "eval_loss": 0.14648006856441498,
+      "eval_runtime": 5.2025,
+      "eval_samples_per_second": 9.803,
+      "eval_steps_per_second": 0.384,
       "step": 3
     },
     {
       "epoch": 1.87,
-      "eval_accuracy": 1.0,
-      "eval_loss": 0.006515962071716785,
-      "eval_runtime": 6.2915,
-      "eval_samples_per_second": 8.106,
-      "eval_steps_per_second": 0.318,
+      "eval_accuracy": 0.9607843137254902,
+      "eval_loss": 0.05166640877723694,
+      "eval_runtime": 5.0657,
+      "eval_samples_per_second": 10.068,
+      "eval_steps_per_second": 0.395,
       "step": 7
     },
     {
       "epoch": 2.4,
-      "eval_accuracy": 1.0,
-      "eval_loss": 0.0047482578083872795,
-      "eval_runtime": 7.5935,
-      "eval_samples_per_second": 6.716,
-      "eval_steps_per_second": 0.263,
+      "eval_accuracy": 0.9607843137254902,
+      "eval_loss": 0.04618089273571968,
+      "eval_runtime": 5.2625,
+      "eval_samples_per_second": 9.691,
+      "eval_steps_per_second": 0.38,
       "step": 9
     },
     {
       "epoch": 2.4,
       "step": 9,
       "total_flos": 2.759014777430016e+16,
-      "train_loss": 0.16354933049943712,
-      "train_runtime": 347.301,
-      "train_samples_per_second": 3.965,
-      "train_steps_per_second": 0.026
+      "train_loss": 0.222392823961046,
+      "train_runtime": 308.2344,
+      "train_samples_per_second": 4.467,
+      "train_steps_per_second": 0.029
     }
   ],
   "logging_steps": 10,