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coco_DBD_finetuned

Object Detection
Transformers
PyTorch
detr
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coco_DBD_finetuned
File size: 2,057 Bytes
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{
  "_name_or_path": "facebook/detr-resnet-50",
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "DetrForObjectDetection"
  ],
  "attention_dropout": 0.0,
  "auxiliary_loss": false,
  "backbone": "resnet50",
  "backbone_config": null,
  "bbox_cost": 5,
  "bbox_loss_coefficient": 5,
  "class_cost": 1,
  "d_model": 256,
  "decoder_attention_heads": 8,
  "decoder_ffn_dim": 2048,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 6,
  "dice_loss_coefficient": 1,
  "dilation": false,
  "dropout": 0.1,
  "encoder_attention_heads": 8,
  "encoder_ffn_dim": 2048,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 6,
  "eos_coefficient": 0.1,
  "giou_cost": 2,
  "giou_loss_coefficient": 2,
  "id2label": {
    "0": "bleeding",
    "1": "blessed",
    "2": "blindness",
    "3": "bloodlust",
    "4": "broken",
    "5": "cursed",
    "6": "deepWound",
    "7": "endurance",
    "8": "exhaustion",
    "9": "exposed",
    "10": "gliph",
    "11": "haste",
    "12": "hearing",
    "13": "hindered",
    "14": "incapacitated",
    "15": "madness",
    "16": "mangled",
    "17": "oblivious",
    "18": "sleepPenalty",
    "19": "undetectable",
    "20": "vision"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "bleeding": 0,
    "blessed": 1,
    "blindness": 2,
    "bloodlust": 3,
    "broken": 4,
    "cursed": 5,
    "deepWound": 6,
    "endurance": 7,
    "exhaustion": 8,
    "exposed": 9,
    "gliph": 10,
    "haste": 11,
    "hearing": 12,
    "hindered": 13,
    "incapacitated": 14,
    "madness": 15,
    "mangled": 16,
    "oblivious": 17,
    "sleepPenalty": 18,
    "undetectable": 19,
    "vision": 20
  },
  "mask_loss_coefficient": 1,
  "max_position_embeddings": 1024,
  "model_type": "detr",
  "num_channels": 3,
  "num_hidden_layers": 6,
  "num_queries": 100,
  "position_embedding_type": "sine",
  "scale_embedding": false,
  "torch_dtype": "float32",
  "transformers_version": "4.26.1",
  "use_pretrained_backbone": true,
  "use_timm_backbone": true
}