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Upload SenConDeTr

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  1. config.json +102 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "output/own-finetune",
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "SenConDeTr"
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+ ],
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+ "attention_dropout": 0.0,
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+ "auxiliary_loss": false,
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+ "backbone": "resnet50",
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+ "backbone_config": null,
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+ "bbox_cost": 5,
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+ "bbox_loss_coefficient": 5,
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+ "class_cost": 2,
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+ "cls_loss_coefficient": 2,
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+ "d_model": 256,
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+ "decoder_attention_heads": 8,
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+ "decoder_ffn_dim": 2048,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "dice_loss_coefficient": 1,
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+ "dilation": false,
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+ "dropout": 0.1,
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+ "encoder_attention_heads": 8,
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+ "encoder_ffn_dim": 2048,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "focal_alpha": 0.25,
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+ "giou_cost": 2,
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+ "giou_loss_coefficient": 2,
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+ "id2label": {
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+ "0": "no-object",
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+ "1": "Kellogg's Corn Flakes",
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+ "2": "Honey Stars",
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+ "3": "Koko Krunch",
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+ "4": "Fita",
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+ "5": "Mamon",
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+ "6": "Buttercake",
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+ "7": "Wafer",
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+ "8": "Choco Crunchies",
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+ "9": "iHop",
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+ "10": "Butterlicious",
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+ "11": "Pik-nik",
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+ "12": "Pringles",
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+ "13": "Super Fruits",
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+ "14": "Locally Mango",
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+ "15": "Camomille",
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+ "16": "Oishi Prawn",
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+ "17": "Kimchi Noodles",
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+ "18": "Grahams",
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+ "19": "Hansel",
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+ "20": "Danisa",
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+ "21": "Chocolate Chips",
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+ "22": "Fresh Milk",
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+ "23": "Bear brand",
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+ "24": "Chuckie",
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+ "25": "Head"
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+ },
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+ "init_std": 0.02,
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+ "init_xavier_std": 1.0,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "Bear brand": "23",
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+ "Buttercake": "6",
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+ "Butterlicious": "10",
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+ "Camomille": "15",
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+ "Choco Crunchies": "8",
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+ "Chocolate Chips": "21",
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+ "Chuckie": "24",
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+ "Danisa": "20",
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+ "Fita": "4",
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+ "Fresh Milk": "22",
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+ "Grahams": "18",
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+ "Hansel": "19",
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+ "Head": "25",
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+ "Honey Stars": "2",
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+ "Kellogg's Corn Flakes": "1",
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+ "Kimchi Noodles": "17",
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+ "Koko Krunch": "3",
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+ "Locally Mango": "14",
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+ "Mamon": "5",
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+ "Oishi Prawn": "16",
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+ "Pik-nik": "11",
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+ "Pringles": "12",
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+ "Super Fruits": "13",
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+ "Wafer": "7",
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+ "iHop": "9",
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+ "no-object": "0"
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+ },
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+ "mask_loss_coefficient": 1,
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+ "max_position_embeddings": 1024,
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+ "model_type": "conditional_detr",
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+ "num_channels": 3,
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+ "num_hidden_layers": 6,
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+ "num_queries": 300,
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+ "position_embedding_type": "sine",
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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.28.0",
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+ "use_pretrained_backbone": true,
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+ "use_timm_backbone": true
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+ }
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