End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5666666666666667
+      value: 0.5833333333333334
 ---
 
 <!-- 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: 1.2261
-- Accuracy: 0.5667
+- Loss: 1.2348
+- Accuracy: 0.5833
 
 ## Model description
 

all_results.json

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+    "train_steps_per_second": 0.229
+}

eval_results.json

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+{
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+    "eval_runtime": 1.3572,
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+}

runs/May24_07-47-37_DESKTOP-SKBE9FB/events.out.tfevents.1716558620.DESKTOP-SKBE9FB.15012.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68ee4468da3fa991a76b248d289d4f67d8f302734e4a5ce1f2b94342be29a31a
+size 405

train_results.json

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+{
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+    "train_runtime": 87.3836,
+    "train_samples_per_second": 27.465,
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+}

trainer_state.json

@@ -0,0 +1,132 @@
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+  "is_world_process_zero": true,
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+}