diegokauer's picture
Training in progress, step 1560
d394ef2
raw
history blame
1.3 kB
{
"_name_or_path": "diegokauer/conditional-detr-coe-int",
"activation_dropout": 0.0,
"activation_function": "relu",
"architectures": [
"ConditionalDetrForObjectDetection"
],
"attention_dropout": 0.0,
"auxiliary_loss": false,
"backbone": "resnet50",
"backbone_config": null,
"bbox_cost": 5,
"bbox_loss_coefficient": 5,
"class_cost": 2,
"cls_loss_coefficient": 2,
"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,
"focal_alpha": 0.25,
"giou_cost": 2,
"giou_loss_coefficient": 2,
"id2label": {
"0": 12,
"1": 4
},
"init_std": 0.02,
"init_xavier_std": 1.0,
"is_encoder_decoder": true,
"label2id": {
"4": 1,
"12": 0
},
"mask_loss_coefficient": 1,
"max_position_embeddings": 1024,
"model_type": "conditional_detr",
"num_channels": 3,
"num_hidden_layers": 6,
"num_queries": 300,
"position_embedding_type": "sine",
"scale_embedding": false,
"torch_dtype": "float32",
"transformers_version": "4.36.2",
"use_pretrained_backbone": true,
"use_timm_backbone": true
}