Add config from convert_d_fine_original_pytorch_checkpoint_to_hf.py

config.json

@@ -1,10 +1,8 @@
 {
+  "_attn_implementation_autoset": true,
   "activation_dropout": 0.0,
   "activation_function": "silu",
   "anchor_image_size": null,
-  "architectures": [
-    "DFineForObjectDetection"
-  ],
   "attention_dropout": 0.0,
   "auxiliary_loss": true,
   "backbone": null,
@@ -25,6 +23,7 @@
       1024,
       2048
     ],
+    "initializer_range": 0.02,
     "layer_type": "basic",
     "model_type": "hgnet_v2",
     "num_channels": 3,
@@ -334,12 +333,13 @@
   "positional_encoding_temperature": 10000,
   "reg_scale": 4.0,
   "top_prob_values": 4,
-  "torch_dtype": "float32",
   "transformers_version": "4.50.0.dev0",
   "use_focal_loss": true,
   "use_pretrained_backbone": false,
   "use_timm_backbone": false,
   "weight_loss_bbox": 5.0,
+  "weight_loss_ddf": 1.5,
+  "weight_loss_fgl": 0.15,
   "weight_loss_giou": 2.0,
   "weight_loss_vfl": 1.0,
   "with_box_refine": true