Recognition Loss: 0.000000 ?

[1145520074]

Train Epoch: 1 [800/928 (86%)] Loss: 0.022387 IOU Loss: 0.012452 CLS Loss: 0.009935 Recognition Loss: 0.000000
epoch : 1
loss : 0.029173220796831722
precious : 0.0
recall : 0.0
hmean : 0.0
val_precious : 0.0
val_recall : 0.0
val_hmean : 0.0
Saving current best: model_best.pth.tar ...

It is strange? my config is :
{
"name": "FOTS",
"cuda": true,
"gpus": [0],
"data_loader": {
"dataset":"icdar2015",
"data_dir": "/data/zhaoxiang/Data/icdar2015/",
"batch_size": 32,
"shuffle": true,
"workers": 4
},
"validation": {
"validation_split": 0.1,
"shuffle": true
},

 "lr_scheduler_type": "ExponentialLR",
 "lr_scheduler_freq": 10000,
 "lr_scheduler": {
         "gamma": 0.94
 },

 "optimizer_type": "Adam",
 "optimizer": {
     "lr": 0.0001,
     "weight_decay": 1e-5
 },
 "loss": "FOTSLoss",
 "metrics": ["fots_metric"],
 "trainer": {
     "epochs": 100000,
     "save_dir": "saved/",
     "save_freq": 10,
     "verbosity": 2,
     "monitor": "hmean",
     "monitor_mode": "max"
 },
 "arch": "FOTSModel",
 "model": {
     "mode": "detection"
 }

}

Thanks very much

[xansar]

maybe because your mode is 'detection'. set it to 'united'