End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9090909090909091
+      value: 1.0
 ---
 
 <!-- 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: 0.1977
-- Accuracy: 0.9091
+- Loss: 0.3618
+- Accuracy: 1.0
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
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+    "eval_loss": 0.3617951273918152,
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+    "eval_samples_per_second": 89.346,
+    "eval_steps_per_second": 8.122,
     "total_flos": 2.36131895365632e+16,
-    "train_loss": 0.22537971337636312,
-    "train_runtime": 44.8569,
-    "train_samples_per_second": 31.768,
-    "train_steps_per_second": 0.334
+    "train_loss": 0.21186696688334147,
+    "train_runtime": 60.0525,
+    "train_samples_per_second": 23.729,
+    "train_steps_per_second": 0.25
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 10.0,
-    "eval_accuracy": 0.9090909090909091,
-    "eval_loss": 0.4038909077644348,
-    "eval_runtime": 0.1558,
-    "eval_samples_per_second": 70.603,
-    "eval_steps_per_second": 6.418
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.3617951273918152,
+    "eval_runtime": 0.1231,
+    "eval_samples_per_second": 89.346,
+    "eval_steps_per_second": 8.122
 }

runs/Nov16_01-23-50_c1961c408f85/events.out.tfevents.1700097900.c1961c408f85.2395.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a09ecb02ad4ef867cce0d3c3e2d3287637f8cdaf6141234c7fcb2b780238c66
+size 405

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 10.0,
     "total_flos": 2.36131895365632e+16,
-    "train_loss": 0.22537971337636312,
-    "train_runtime": 44.8569,
-    "train_samples_per_second": 31.768,
-    "train_steps_per_second": 0.334
+    "train_loss": 0.21186696688334147,
+    "train_runtime": 60.0525,
+    "train_samples_per_second": 23.729,
+    "train_steps_per_second": 0.25
 }

trainer_state.json

@@ -1,5 +1,5 @@
 {
-  "best_metric": 0.9090909090909091,
+  "best_metric": 1.0,
   "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-7",
   "epoch": 10.0,
   "eval_steps": 500,
@@ -10,108 +10,108 @@
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