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detr-resnet-50_finetuned_cppe5

Object Detection
Transformers
PyTorch
detr
Generated from Trainer
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detr-resnet-50_finetuned_cppe5
File size: 1,410 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,
  "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": "Coverall",
    "1": "Face_Shield",
    "2": "Gloves",
    "3": "Goggles",
    "4": "Mask"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "Coverall": 0,
    "Face_Shield": 1,
    "Gloves": 2,
    "Goggles": 3,
    "Mask": 4
  },
  "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": "4.34.0",
  "use_pretrained_backbone": true,
  "use_timm_backbone": true
}