End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +18,10 @@ 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"/>](None)
 # vit-base-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: 0.0809
-- Accuracy: 0.9774
+- Loss: 0.0634
+- Accuracy: 0.9925
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Jul03_22-10-39_zznet-server/events.out.tfevents.1720016011.zznet-server.822112.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:222d7c6513f10a7c5c5e2a8e5237cefef520cabb6c3bfdc6cdaa466ec51eca9e
+size 411

train_results.json

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trainer_state.json

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