vuongnhathien commited on
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  1. README.md +3 -2
README.md CHANGED
@@ -2,6 +2,7 @@
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - imagefolder
@@ -14,7 +15,7 @@ model-index:
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  name: Image Classification
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  type: image-classification
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  dataset:
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- name: imagefolder
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  type: imagefolder
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  config: default
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  split: validation
@@ -30,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-batch-32
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- This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6201
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  - Accuracy: 0.8756
 
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224
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  tags:
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+ - image-classification
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  - generated_from_trainer
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  datasets:
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  - imagefolder
 
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  name: Image Classification
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  type: image-classification
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  dataset:
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+ name: vuongnhathien/30VNFoods
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  type: imagefolder
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  config: default
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  split: validation
 
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  # vit-base-batch-32
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+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the vuongnhathien/30VNFoods dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6201
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  - Accuracy: 0.8756