Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5437269730463448
+      value: 0.5471785922047702
 ---
 
 <!-- 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 [therealcyberlord/stanford-car-vit-patch16](https://huggingface.co/therealcyberlord/stanford-car-vit-patch16) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4401
-- Accuracy: 0.5437
+- Loss: 1.4653
+- Accuracy: 0.5472
 
 ## Model description
 
@@ -54,11 +54,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0005
-- train_batch_size: 512
-- eval_batch_size: 512
+- train_batch_size: 1024
+- eval_batch_size: 1024
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 2048
+- total_train_batch_size: 4096
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1

model.safetensors

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runs/Jan29_14-05-35_82bfe6444a1c/events.out.tfevents.1738159537.82bfe6444a1c.55842.0

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