train66 / config.json
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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
}