Model save
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README.md
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@@ -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
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tags:
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- image-classification, screenshots detection
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- generated_from_trainer
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metrics:
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- accuracy
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# Screenshots_detection_to_classification
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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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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metrics:
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- accuracy
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# Screenshots_detection_to_classification
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2538
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- Accuracy: 0.9524
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## Model description
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