Final model after training

README.md

@@ -3,21 +3,20 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
 model-index:
-- name: vit-base-fruit-punch
+- name: vit4fruveg
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# vit-base-fruit-punch
+# vit4fruveg
 
-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 darthraider/fruit-ripeness-detection-dataset dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0004
 - Accuracy: 1.0

training_args.bin

@@ -1,3 +1,3 @@
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-size 5304
+oid sha256:faca7ada2fc59a809a5a2de09780bcc1243216f0217d091cef62fc05ba8d2891
+size 5368