Model save

README.md

@@ -2,14 +2,9 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- image-feature-extraction
-- image-to-text
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: vit-finetune-scrap
   results: []
@@ -20,10 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-finetune-scrap
 
-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 d071696/scraps1 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.6106
-- Accuracy: 0.9667
+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.
 
 ## Model description
 

model.safetensors

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runs/Mar22_10-48-05_X5C922065N/events.out.tfevents.1711100891.X5C922065N.52576.4

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training_args.bin

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