End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6956521739130435
+      value: 0.7608695652173914
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8074
-- Accuracy: 0.6957
+- Loss: 0.7654
+- Accuracy: 0.7609
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Dec02_13-56-15_DESKTOP-SKBE9FB/events.out.tfevents.1733169520.DESKTOP-SKBE9FB.11004.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4bad3deebdc874db9f2467a02e867ce28b56c7531e869e93e9e4bc7b18b8b18b
+size 405

train_results.json

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trainer_state.json

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