sudo-s
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exper_batch_16_e4

Image Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

sudo-s commited on Jun 26, 2022

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update model card README.md

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@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
@@ -14,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 # exper_batch_16_e4
-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 None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3598
 - Accuracy: 0.9059

 ---
 license: apache-2.0
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
 # exper_batch_16_e4
+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 sudo-s/herbier_mesuem1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3598
 - Accuracy: 0.9059