tatr-pharma / config.json
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{
"_name_or_path": "microsoft/table-transformer-structure-recognition",
"activation_dropout": 0.0,
"activation_function": "relu",
"architectures": [
"TableTransformerForObjectDetection"
],
"attention_dropout": 0.0,
"auxiliary_loss": false,
"backbone": "resnet18",
"backbone_config": null,
"bbox_cost": 5,
"bbox_loss_coefficient": 5,
"ce_loss_coefficient": 1,
"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": 0.4,
"giou_cost": 2,
"giou_loss_coefficient": 2,
"id2label": {
"0": "table",
"1": "table column",
"2": "table row",
"3": "table column header",
"4": "table projected row header",
"5": "table spanning cell"
},
"init_std": 0.02,
"init_xavier_std": 1.0,
"is_encoder_decoder": true,
"label2id": {
"table": 0,
"table column": 1,
"table column header": 3,
"table projected row header": 4,
"table row": 2,
"table spanning cell": 5
},
"mask_loss_coefficient": 1,
"max_position_embeddings": 1024,
"model_type": "table-transformer",
"num_channels": 3,
"num_hidden_layers": 6,
"num_queries": 125,
"position_embedding_type": "sine",
"scale_embedding": false,
"torch_dtype": "float32",
"transformers_version": "4.27.0.dev0",
"use_pretrained_backbone": true,
"use_timm_backbone": true
}