config.json

{
  "activation_dropout": 0.0,
  "activation_function": "relu",
  "architectures": [
    "TableTransformerModel"
  ],
  "attention_dropout": 0.1,
  "auxiliary_loss": false,
  "backbone": null,
  "backbone_config": {
    "depths": [
      1,
      1,
      2,
      1
    ],
    "downsample_in_bottleneck": false,
    "downsample_in_first_stage": false,
    "embedding_size": 64,
    "embeddings_size": 10,
    "hidden_act": "relu",
    "hidden_sizes": [
      10,
      20,
      30,
      40
    ],
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1",
      "2": "LABEL_2"
    },
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1,
      "LABEL_2": 2
    },
    "layer_type": "bottleneck",
    "model_type": "resnet",
    "num_channels": 3,
    "out_features": [
      "stage2",
      "stage3",
      "stage4"
    ],
    "out_indices": [
      2,
      3,
      4
    ],
    "stage_names": [
      "stem",
      "stage1",
      "stage2",
      "stage3",
      "stage4"
    ]
  },
  "bbox_cost": 5,
  "bbox_loss_coefficient": 5,
  "class_cost": 1,
  "d_model": 32,
  "decoder_attention_heads": 8,
  "decoder_ffn_dim": 4,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 2,
  "dice_loss_coefficient": 1,
  "dilation": false,
  "dropout": 0.1,
  "dtype": "float32",
  "encoder_attention_heads": 8,
  "encoder_ffn_dim": 4,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 2,
  "eos_coefficient": 0.1,
  "giou_cost": 2,
  "giou_loss_coefficient": 2,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "init_std": 0.02,
  "init_xavier_std": 1.0,
  "is_encoder_decoder": true,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "mask_loss_coefficient": 1,
  "model_type": "table-transformer",
  "num_channels": 3,
  "num_queries": 12,
  "position_embedding_type": "sine",
  "transformers_version": "5.16.0.dev0"
}