🍻 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
 metrics:
 - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/salmamoori/vit-beans-image-classification/runs/pd1fn72h)
 # vit-fine-tuned-image-classification-beans
 
-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.
+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 beans dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1194
 - Accuracy: 0.9624

all_results.json

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eval_results.json

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runs/Jul10_16-25-38_DESKTOP-LQ1S6KU/events.out.tfevents.1720602614.DESKTOP-LQ1S6KU.42684.1

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+size 411

train_results.json

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+}

trainer_state.json

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