cheers again

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
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans-tutorial
 
-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: 0.0180
 - Accuracy: 0.9925

all_results.json

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eval_results.json

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runs/Jan25_01-39-43_4ad255d5f204/events.out.tfevents.1706146951.4ad255d5f204.683.1

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+oid sha256:1c1f9bab5e81f6c635c8a7f2742335bac3e9078d114d2f6397888631f617fd51
+size 411

train_results.json

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+}

trainer_state.json

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