End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9657087324725808
+      value: 0.9661252256004442
 ---
 
 <!-- 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 [mansee/swin-tiny-patch4-window7-224](https://huggingface.co/mansee/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1086
-- Accuracy: 0.9657
+- Loss: 0.1087
+- Accuracy: 0.9661
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 3.0,
-    "eval_accuracy": 0.9372483687352492,
-    "eval_loss": 0.17838290333747864,
-    "eval_runtime": 51.4343,
-    "eval_samples_per_second": 140.043,
-    "eval_steps_per_second": 4.394,
-    "total_flos": 4.829589697691566e+18,
-    "train_loss": 0.4650797137551314,
-    "train_runtime": 3147.7418,
-    "train_samples_per_second": 61.783,
-    "train_steps_per_second": 0.482
+    "epoch": 9.99,
+    "eval_accuracy": 0.9661252256004442,
+    "eval_loss": 0.10865508764982224,
+    "eval_runtime": 53.6897,
+    "eval_samples_per_second": 134.16,
+    "eval_steps_per_second": 4.209,
+    "total_flos": 1.6098284322345738e+19,
+    "train_loss": 0.3068045905574037,
+    "train_runtime": 10592.7037,
+    "train_samples_per_second": 61.199,
+    "train_steps_per_second": 0.478
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 3.0,
-    "eval_accuracy": 0.9372483687352492,
-    "eval_loss": 0.17838290333747864,
-    "eval_runtime": 51.4343,
-    "eval_samples_per_second": 140.043,
-    "eval_steps_per_second": 4.394
+    "epoch": 9.99,
+    "eval_accuracy": 0.9661252256004442,
+    "eval_loss": 0.10865508764982224,
+    "eval_runtime": 53.6897,
+    "eval_samples_per_second": 134.16,
+    "eval_steps_per_second": 4.209
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 3.0,
-    "total_flos": 4.829589697691566e+18,
-    "train_loss": 0.4650797137551314,
-    "train_runtime": 3147.7418,
-    "train_samples_per_second": 61.783,
-    "train_steps_per_second": 0.482
+    "epoch": 9.99,
+    "total_flos": 1.6098284322345738e+19,
+    "train_loss": 0.3068045905574037,
+    "train_runtime": 10592.7037,
+    "train_samples_per_second": 61.199,
+    "train_steps_per_second": 0.478
 }