Delete config.json

config.json

@@ -1,61 +0,0 @@
-{
-  "_name_or_path": "/home/jupyter-anikolaeva/tatr/table-transformer-detection-ifrs",
-  "activation_dropout": 0.0,
-  "activation_function": "relu",
-  "architectures": [
-    "TableTransformerModel"
-  ],
-  "attention_dropout": 0.0,
-  "auxiliary_loss": false,
-  "backbone": "resnet18",
-  "backbone_config": null,
-  "backbone_kwargs": {
-    "in_chans": 3,
-    "out_indices": [
-      1,
-      2,
-      3,
-      4
-    ]
-  },
-  "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 rotated"
-  },
-  "init_std": 0.02,
-  "init_xavier_std": 1.0,
-  "is_encoder_decoder": true,
-  "label2id": {
-    "table": 0,
-    "table rotated": 1
-  },
-  "mask_loss_coefficient": 1,
-  "model_type": "table-transformer",
-  "num_channels": 3,
-  "num_hidden_layers": 6,
-  "num_queries": 15,
-  "position_embedding_type": "sine",
-  "torch_dtype": "float32",
-  "transformers_version": "4.45.0.dev0",
-  "use_pretrained_backbone": true,
-  "use_timm_backbone": true
-}