🍻 cheers

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 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. -->
 
 # beans_model
 
-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: 0.0630
 - Model Preparation Time: 0.006

all_results.json

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+}

eval_results.json

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+}

runs/Dec13_18-27-04_f62ed62ea929/events.out.tfevents.1734114587.f62ed62ea929.729.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bdf7b116df56e5c4b284d76769ea7d3dc5cc49c3ca58c0d34b20e76998f73cc7
+size 477

train_results.json

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+}

trainer_state.json

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