End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9916023604176123
+      value: 0.9918293236495688
 ---
 
 <!-- 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: 0.0485
-- Accuracy: 0.9916
+- Loss: 0.0520
+- Accuracy: 0.9918
 
 ## Model description
 

all_results.json

@@ -1,13 +1,12 @@
-{
-    "epoch": 9.99,
-    "eval_accuracy": 0.9920562868815251,
-    "eval_loss": 0.040971919894218445,
-    "eval_runtime": 208.9955,
-    "eval_samples_per_second": 21.082,
-    "eval_steps_per_second": 3.517,
-    "total_flos": 2.552597644040995e+18,
-    "train_loss": 0.12827744820725312,
-    "train_runtime": 15501.4351,
-    "train_samples_per_second": 6.632,
-    "train_steps_per_second": 0.276
+{
+    "epoch": 9.99,
+    "eval_accuracy": 0.9918293236495688,
+    "eval_loss": 0.0519937239587307,
+    "eval_runtime": 277.9549,
+    "eval_samples_per_second": 15.851,
+    "eval_steps_per_second": 2.644,
+    "train_loss": 0.08735134438306928,
+    "train_runtime": 17846.498,
+    "train_samples_per_second": 5.76,
+    "train_steps_per_second": 0.24
 }

eval_results.json

@@ -1,8 +1,8 @@
-{
-    "epoch": 9.99,
-    "eval_accuracy": 0.9920562868815251,
-    "eval_loss": 0.040971919894218445,
-    "eval_runtime": 208.9955,
-    "eval_samples_per_second": 21.082,
-    "eval_steps_per_second": 3.517
+{
+    "epoch": 9.99,
+    "eval_accuracy": 0.9918293236495688,
+    "eval_loss": 0.0519937239587307,
+    "eval_runtime": 277.9549,
+    "eval_samples_per_second": 15.851,
+    "eval_steps_per_second": 2.644
 }

train_results.json

@@ -1,8 +1,7 @@
-{
-    "epoch": 9.99,
-    "total_flos": 2.552597644040995e+18,
-    "train_loss": 0.12827744820725312,
-    "train_runtime": 15501.4351,
-    "train_samples_per_second": 6.632,
-    "train_steps_per_second": 0.276
+{
+    "epoch": 9.99,
+    "train_loss": 0.08735134438306928,
+    "train_runtime": 17846.498,
+    "train_samples_per_second": 5.76,
+    "train_steps_per_second": 0.24
 }