End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 datasets:
 - arrow
@@ -15,7 +17,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: arrow
+      name: acidtib/tcg-magic-cards
       type: arrow
       config: default
       split: validation
@@ -31,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tcg-magic-classifier
 
-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 arrow 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 acidtib/tcg-magic-cards dataset.
 It achieves the following results on the evaluation set:
 - Loss: 7.9836
 - Accuracy: 0.2545

all_results.json

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eval_results.json

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runs/Oct23_00-54-45_pop-os/events.out.tfevents.1729668341.pop-os.162283.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3e2cc982742d1bcaf4293554263cf965b557272b9439437012382ef228c53e3d
+size 411

train_results.json

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+}

trainer_state.json

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