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Upload DetrForObjectDetection

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Files changed (2) hide show
  1. config.json +105 -24
  2. model.safetensors +2 -2
config.json CHANGED
@@ -1,17 +1,109 @@
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  {
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- "_name_or_path": "microsoft/table-transformer-structure-recognition",
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  "activation_dropout": 0.0,
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  "activation_function": "relu",
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  "architectures": [
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- "TableTransformerForObjectDetection"
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  ],
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  "attention_dropout": 0.0,
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  "auxiliary_loss": false,
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- "backbone": "resnet18",
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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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- "ce_loss_coefficient": 1,
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  "class_cost": 1,
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  "d_model": 256,
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  "decoder_attention_heads": 8,
@@ -19,44 +111,33 @@
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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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  "encoder_layers": 6,
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- "eos_coefficient": 0.4,
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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": "table",
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- "1": "table column",
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- "2": "table row",
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- "3": "table column header",
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- "4": "table projected row header",
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- "5": "table spanning cell"
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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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- "table": 0,
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- "table column": 1,
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- "table column header": 3,
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- "table projected row header": 4,
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- "table row": 2,
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- "table spanning cell": 5
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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": "table-transformer",
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  "num_channels": 3,
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  "num_hidden_layers": 6,
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- "num_queries": 125,
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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": "4.35.2",
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- "use_pretrained_backbone": true,
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- "use_timm_backbone": true
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  }
 
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  {
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+ "_name_or_path": "facebook/detr-resnet-50",
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  "activation_dropout": 0.0,
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  "activation_function": "relu",
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  "architectures": [
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+ "DetrForObjectDetection"
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  ],
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  "attention_dropout": 0.0,
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  "auxiliary_loss": false,
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+ "do_sample": false,
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+ "id2label": {
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+ },
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  "bbox_cost": 5,
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  "bbox_loss_coefficient": 5,
 
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  "class_cost": 1,
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  "d_model": 256,
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  "decoder_attention_heads": 8,
 
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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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  "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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+ "eos_coefficient": 0.1,
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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": "LABEL_0"
 
 
 
 
 
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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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+ "LABEL_0": 0
 
 
 
 
 
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  },
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  "mask_loss_coefficient": 1,
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+ "model_type": "detr",
 
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  "num_channels": 3,
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  "num_hidden_layers": 6,
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+ "num_queries": 100,
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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": "4.35.2",
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+ "use_pretrained_backbone": null,
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+ "use_timm_backbone": false
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  }
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