End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8431372549019608
+      value: 0.8627450980392157
 ---
 
 <!-- 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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5611
-- Accuracy: 0.8431
+- Loss: 0.5809
+- Accuracy: 0.8627
 
 ## Model description
 

all_results.json

@@ -1,12 +1,12 @@
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 }

eval_results.json

@@ -1,8 +1,8 @@
 {
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 }

runs/Jun11_10-42-52_DESKTOP-SKBE9FB/events.out.tfevents.1718124614.DESKTOP-SKBE9FB.7440.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8878b5a14d13863675e696e4d7fd6911316bc3549fe17230b14ce3c0c394da1c
+size 411

train_results.json

@@ -1,7 +1,7 @@
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+    "train_steps_per_second": 0.504
 }

trainer_state.json

@@ -1,6 +1,6 @@
 {
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+  "best_model_checkpoint": "vit-base-patch16-224-ve-U10-12\\checkpoint-94",
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