End of training
Browse files- README.md +4 -2
- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +169 -0
    	
        README.md
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| 2 | 
             
            license: apache-2.0
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            base_model: google/vit-large-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:  | 
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                  type: imagefolder
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                  config: default
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                  split: train
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| @@ -30,7 +32,7 @@ should probably proofread and complete it, then remove this comment. --> | |
| 30 |  | 
| 31 | 
             
            # fashion-images-pack-types-vit-large-patch16-224-in21k-v3
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            -
            This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the  | 
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            It achieves the following results on the evaluation set:
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            - Loss: 0.0485
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            - Accuracy: 0.9908
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| 2 | 
             
            license: apache-2.0
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            base_model: google/vit-large-patch16-224-in21k
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            tags:
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            - image-classification
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            - vision
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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: touchtech/fashion-images-pack-types
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                  type: imagefolder
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                  config: default
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                  split: train
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| 32 |  | 
| 33 | 
             
            # fashion-images-pack-types-vit-large-patch16-224-in21k-v3
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| 35 | 
            +
            This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-pack-types dataset.
         | 
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            It achieves the following results on the evaluation set:
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            - Loss: 0.0485
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            - Accuracy: 0.9908
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