End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.55
+      value: 0.54375
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0649
-- Accuracy: 0.55
+- Loss: 1.6204
+- Accuracy: 0.5437
 
 ## Model description
 
@@ -53,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0006
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42

runs/Sep06_06-09-35_8cf4d9f9e2ee/events.out.tfevents.1725603152.8cf4d9f9e2ee.864.17

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+size 405