tp,fp_loc指标同时过高，且模型始终没有收敛

[BinXia123]

作者您好，我想问一下为什么会出现tp,fp_loc同时过高现象，是需要调哪些参数吗，以下是我的参数配置以及相关输出结果

hyp:

lr0: 0.001
lrf: 1.0
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
scale: 0.9
translate: 0.1
fliplr: 0.5
mosaic: 1.0
mixup: 0.1
warmup_epochs: 0
no_aug_epochs: 0
burn_epochs: 0

Model:
depth_multiple: 0.33 # model depth multiple
width_multiple: 0.50 # layer channel multiple
Backbone:
name: 'YoloV5'
activation: 'SiLU'
Neck:
name: 'YoloV5'
in_channels: [256, 512, 1024]
out_channels: [256, 512, 1024]
activation: 'SiLU'
Head:
name: 'YoloV5'
activation: 'SiLU'
anchors: [[10,13, 16,30, 33,23],[30,61, 62,45, 59,119],[116,90, 156,198, 373,326]] # P5/32]
Loss:
type: 'ComputeLoss'
cls: 0.3
obj: 0.7
box: 0.05
anchor_t: 4.0

SSOD:
train_domain: True
nms_conf_thres: 0.1

nms_iou_thres: 0.7
teacher_loss_weight: 0.5
cls_loss_weight: 0.3
box_loss_weight: 0.05
obj_loss_weight: 0.7
loss_type: 'ComputeStudentMatchLoss'
ignore_thres_low: 0.4

ignore_thres_high: 0.65
uncertain_aug: True
use_ota: False
multi_label: False
ignore_obj: False
pseudo_label_with_obj: True
pseudo_label_with_bbox: True
pseudo_label_with_cls: False
with_da_loss: False
da_loss_weights: 0.01
epoch_adaptor: True
resample_high_percent: 0.25
resample_low_percent: 0.99
ema_rate: 0.999
cosine_ema: True
imitate_teacher: False

ssod_hyp:
with_gt: False
mosaic: 1.0
cutout: 0.5
autoaugment: 0.5
scale: 0.8
degrees: 0.0
shear: 0.0