End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5454545454545454
+      value: 0.6363636363636364
 ---
 
 <!-- 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 [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: 0.7230
-- Accuracy: 0.5455
+- Loss: 0.6086
+- Accuracy: 0.6364
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 6.67,
-    "eval_accuracy": 0.7727272727272727,
-    "eval_loss": 0.5183508396148682,
-    "eval_runtime": 0.2841,
-    "eval_samples_per_second": 77.444,
-    "eval_steps_per_second": 3.52,
+    "eval_accuracy": 0.6363636363636364,
+    "eval_loss": 0.6085681319236755,
+    "eval_runtime": 0.3092,
+    "eval_samples_per_second": 71.149,
+    "eval_steps_per_second": 3.234,
     "total_flos": 3.136825810015027e+16,
-    "train_loss": 0.45044398307800293,
-    "train_runtime": 50.9956,
-    "train_samples_per_second": 37.062,
-    "train_steps_per_second": 0.196
+    "train_loss": 0.5420242786407471,
+    "train_runtime": 52.7601,
+    "train_samples_per_second": 35.823,
+    "train_steps_per_second": 0.19
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 6.67,
-    "eval_accuracy": 0.7727272727272727,
-    "eval_loss": 0.5183508396148682,
-    "eval_runtime": 0.2841,
-    "eval_samples_per_second": 77.444,
-    "eval_steps_per_second": 3.52
+    "eval_accuracy": 0.6363636363636364,
+    "eval_loss": 0.6085681319236755,
+    "eval_runtime": 0.3092,
+    "eval_samples_per_second": 71.149,
+    "eval_steps_per_second": 3.234
 }

runs/Jan09_17-05-46_315083aa3976/events.out.tfevents.1704820034.315083aa3976.4375.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bae91a03413552636490bfec06dd3a6875cb2b4457285896c1575becc5ab26ab
+size 405

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 6.67,
     "total_flos": 3.136825810015027e+16,
-    "train_loss": 0.45044398307800293,
-    "train_runtime": 50.9956,
-    "train_samples_per_second": 37.062,
-    "train_steps_per_second": 0.196
+    "train_loss": 0.5420242786407471,
+    "train_runtime": 52.7601,
+    "train_samples_per_second": 35.823,
+    "train_steps_per_second": 0.19
 }

trainer_state.json

@@ -1,5 +1,5 @@
 {
-  "best_metric": 0.7727272727272727,
+  "best_metric": 0.6363636363636364,
   "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat-kornia/checkpoint-1",
   "epoch": 6.666666666666667,
   "eval_steps": 500,
@@ -10,81 +10,81 @@
   "log_history": [
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