End of training

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2183
-- Accuracy: 0.915
+- Loss: 0.2188
+- Accuracy: 0.92
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 2.88,
-    "eval_accuracy": 0.935,
-    "eval_loss": 0.17837801575660706,
-    "eval_runtime": 1.3891,
-    "eval_samples_per_second": 143.979,
-    "eval_steps_per_second": 5.039,
+    "eval_accuracy": 0.92,
+    "eval_loss": 0.2187843769788742,
+    "eval_runtime": 1.5181,
+    "eval_samples_per_second": 131.741,
+    "eval_steps_per_second": 4.611,
     "total_flos": 1.1453639724682445e+17,
-    "train_loss": 0.3829680151409573,
-    "train_runtime": 90.7696,
-    "train_samples_per_second": 52.881,
-    "train_steps_per_second": 0.397
+    "train_loss": 0.37877217928568524,
+    "train_runtime": 88.5461,
+    "train_samples_per_second": 54.209,
+    "train_steps_per_second": 0.407
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 2.88,
-    "eval_accuracy": 0.935,
-    "eval_loss": 0.17837801575660706,
-    "eval_runtime": 1.3891,
-    "eval_samples_per_second": 143.979,
-    "eval_steps_per_second": 5.039
+    "eval_accuracy": 0.92,
+    "eval_loss": 0.2187843769788742,
+    "eval_runtime": 1.5181,
+    "eval_samples_per_second": 131.741,
+    "eval_steps_per_second": 4.611
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 2.88,
     "total_flos": 1.1453639724682445e+17,
-    "train_loss": 0.3829680151409573,
-    "train_runtime": 90.7696,
-    "train_samples_per_second": 52.881,
-    "train_steps_per_second": 0.397
+    "train_loss": 0.37877217928568524,
+    "train_runtime": 88.5461,
+    "train_samples_per_second": 54.209,
+    "train_steps_per_second": 0.407
 }

trainer_state.json

@@ -1,6 +1,6 @@
 {
-  "best_metric": 0.935,
-  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-36",
+  "best_metric": 0.92,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-25",
   "epoch": 2.88,
   "eval_steps": 500,
   "global_step": 36,
@@ -11,56 +11,56 @@
     {
       "epoch": 0.8,
       "learning_rate": 4.0625000000000005e-05,
-      "loss": 0.6142,
+      "loss": 0.6077,
       "step": 10
     },
     {
       "epoch": 0.96,
-      "eval_accuracy": 0.835,
-      "eval_loss": 0.36099061369895935,
-      "eval_runtime": 1.583,
-      "eval_samples_per_second": 126.345,
-      "eval_steps_per_second": 4.422,
+      "eval_accuracy": 0.895,
+      "eval_loss": 0.34078389406204224,
+      "eval_runtime": 2.1751,
+      "eval_samples_per_second": 91.949,
+      "eval_steps_per_second": 3.218,
       "step": 12
     },
     {
       "epoch": 1.6,
       "learning_rate": 2.5e-05,
-      "loss": 0.3549,
+      "loss": 0.3469,
       "step": 20
     },
     {
       "epoch": 2.0,
-      "eval_accuracy": 0.9,
-      "eval_loss": 0.20535722374916077,
-      "eval_runtime": 1.3101,
-      "eval_samples_per_second": 152.658,
-      "eval_steps_per_second": 5.343,
+      "eval_accuracy": 0.92,
+      "eval_loss": 0.2187843769788742,
+      "eval_runtime": 1.3428,
+      "eval_samples_per_second": 148.948,
+      "eval_steps_per_second": 5.213,
       "step": 25
     },
     {
       "epoch": 2.4,
       "learning_rate": 9.375000000000001e-06,
-      "loss": 0.2612,
+      "loss": 0.2627,
       "step": 30
     },
     {
       "epoch": 2.88,
-      "eval_accuracy": 0.935,
-      "eval_loss": 0.17837801575660706,
-      "eval_runtime": 1.3262,
-      "eval_samples_per_second": 150.812,
-      "eval_steps_per_second": 5.278,
+      "eval_accuracy": 0.915,
+      "eval_loss": 0.2182500809431076,
+      "eval_runtime": 1.3418,
+      "eval_samples_per_second": 149.051,
+      "eval_steps_per_second": 5.217,
       "step": 36
     },
     {
       "epoch": 2.88,
       "step": 36,
       "total_flos": 1.1453639724682445e+17,
-      "train_loss": 0.3829680151409573,
-      "train_runtime": 90.7696,
-      "train_samples_per_second": 52.881,
-      "train_steps_per_second": 0.397
+      "train_loss": 0.37877217928568524,
+      "train_runtime": 88.5461,
+      "train_samples_per_second": 54.209,
+      "train_steps_per_second": 0.407
     }
   ],
   "logging_steps": 10,