End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5833333333333334
+      value: 0.6944444444444444
 ---
 
 <!-- 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/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0751
-- Accuracy: 0.5833
+- Loss: 0.7415
+- Accuracy: 0.6944
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/May23_14-11-51_2bc4f829fe52/events.out.tfevents.1716474091.2bc4f829fe52.989.17

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+version https://git-lfs.github.com/spec/v1
+oid sha256:87c46a09bcad046f7034f2d1a4aa61bacb0934daf533460d74cf177e89130a61
+size 405

train_results.json

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trainer_state.json

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