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End of training

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  1. README.md +2 -3
README.md CHANGED
@@ -3,7 +3,6 @@ library_name: transformers
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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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
@@ -19,7 +18,7 @@ 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: tom_and_jerry
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  type: imagefolder
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  config: default
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  split: validation
@@ -44,7 +43,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-tom-jerry-model
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- 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 tom_and_jerry dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0403
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  - Accuracy: 0.9916
 
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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  tags:
 
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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: imagefolder
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  type: imagefolder
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  config: default
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  split: validation
 
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  # vit-tom-jerry-model
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+ 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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0403
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  - Accuracy: 0.9916