🍻 cheers

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - renovation
@@ -14,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: renovation
+      name: renovations
       type: renovation
       config: default
       split: validation
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6529680365296804
+      value: 0.6027397260273972
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-renovation2
 
-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 renovation 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 the renovations dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6878
-- Accuracy: 0.6530
+- Loss: 1.2384
+- Accuracy: 0.6027
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Mar20_02-51-07_afa5dd1e3938/events.out.tfevents.1710904009.afa5dd1e3938.399.4

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+oid sha256:e0cd7291fa42cb2140583152703a5b9128a8b4bb974654ce6c8e010089bbefa3
+size 411

train_results.json

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trainer_state.json

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