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train51

Object Detection
Transformers
PyTorch
detr
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train51
File size: 1,858 Bytes 
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{
  "_name_or_path": "facebook/detr-resnet-101",
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "DetrForObjectDetection"
  ],
  "attention_dropout": 0.0,
  "auxiliary_loss": false,
  "backbone": "resnet101",
  "backbone_config": null,
  "bbox_cost": 5,
  "bbox_loss_coefficient": 5,
  "class_cost": 1,
  "classifier_dropout": 0.0,
  "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": "pet_bottle",
    "1": "hm_ldpe",
    "2": "pp_w",
    "3": "ldpe_wrapper",
    "4": "hdpe_bottle",
    "5": "paper",
    "6": "pp",
    "7": "aluminium_foil",
    "8": "multilayer_plastic",
    "9": "ps",
    "10": "cardboard",
    "11": "blister_pack",
    "12": "aluminium_can",
    "13": "tetrapack",
    "14": "others"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "aluminium_can": 12,
    "aluminium_foil": 7,
    "blister_pack": 11,
    "cardboard": 10,
    "hdpe_bottle": 4,
    "hm_ldpe": 1,
    "ldpe_wrapper": 3,
    "multilayer_plastic": 8,
    "others": 14,
    "paper": 5,
    "pet_bottle": 0,
    "pp": 6,
    "pp_w": 2,
    "ps": 9,
    "tetrapack": 13
  },
  "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": "4.32.1",
  "use_pretrained_backbone": true,
  "use_timm_backbone": true
}