commit files to HF hub
Browse files- README.md +2 -22
- config.json +1 -1
- preprocessor_config.json +7 -2
- pytorch_model.bin +1 -1
- runs/events.out.tfevents.1672190198.deltax +3 -0
README.md
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- huggingpics
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metrics:
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- accuracy
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/cane.jpeg
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example_title: Cane
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/cavallo.jpeg
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example_title: Cavallo
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/elefante.jpeg
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example_title: Elefante
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/farfalla.jpeg
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example_title: Farfalla
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/gallina.jpeg
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example_title: Gallina
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/gatto.jpeg
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example_title: Gatto
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/mucca.jpeg
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example_title: Mucca
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/pecora.jpeg
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example_title: Pecora
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/ragno.jpeg
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example_title: Ragno
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- src: https://huggingface.co/pytholic/vit_classification_huggingface/tree/main/data/scoiattolo.jpeg
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example_title: Scoiattolo
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model-index:
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- name: vit_classification_huggingface
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results:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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# vit_classification_huggingface
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- huggingpics
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metrics:
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- accuracy
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model-index:
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- name: vit_classification_huggingface
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results:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.980894148349762
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---
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# vit_classification_huggingface
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config.json
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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}
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1"
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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"image_mean": [
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"image_std": [
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],
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"resample": 2,
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}
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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pytorch_model.bin
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runs/events.out.tfevents.1672190198.deltax
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