CRAFT model Fine Tunning via custom data no improvements and {'precision': 0, 'recall': 0.0, 'hmean': 0} on validation data

[sankalpsahu27]

I'm using my custom data to finetune it, while the training loss seems to be around 0.15 or nearby but the validation data has the {'precision': 0, 'recall': 0.0, 'hmean': 0} I thought that my data has some wrong annotations so tried the ICDAR dataset still has the same results {'precision': 0, 'recall': 0.0, 'hmean': 0}. can you help me what to do
used this command :python3 train.py --yaml=custom_data_train
the yaml file content :
wandb_opt: False

results_dir: "./exp/"
vis_test_dir: "./vis_result/"

data_root_dir: "E:/train lic plate/CRAFT_DATA"
score_gt_dir: None # "/data/ICDAR2015_official_supervision"
mode: "weak_supervision"

train:
backbone : vgg
use_synthtext: False # If you want to combine SynthText in train time as CRAFT did, you can turn on this option
synth_data_dir: "/data/SynthText/"
synth_ratio: 5
real_dataset: custom
ckpt_path: "./pretrained_model/CRAFT_clr_amp_29500.pth"
eval_interval: 1000
batch_size: 5
st_iter: 0
end_iter: 25000
lr: 0.0001
lr_decay: 7500
gamma: 0.2
weight_decay: 0.00001
num_workers: 0 # On single gpu, train.py execution only works when num worker = 0 / On multi-gpu, you can set num_worker > 0 to speed up
amp: True
loss: 2
neg_rto: 0.3
n_min_neg: 5000
data:
vis_opt: False
pseudo_vis_opt: False
output_size: 768
do_not_care_label: ['###', '']
mean: [0.485, 0.456, 0.406]
variance: [0.229, 0.224, 0.225]
enlarge_region : [0.5, 0.5] # x axis, y axis
enlarge_affinity: [0.5, 0.5]
gauss_init_size: 200
gauss_sigma: 40
watershed:
version: "skimage"
sure_fg_th: 0.75
sure_bg_th: 0.05
syn_sample: -1
custom_sample: -1
syn_aug:
random_scale:
range: [1.0, 1.5, 2.0]
option: False
random_rotate:
max_angle: 20
option: False
random_crop:
version: "random_resize_crop_synth"
option: True
random_horizontal_flip:
option: False
random_colorjitter:
brightness: 0.2
contrast: 0.2
saturation: 0.2
hue: 0.2
option: True
custom_aug:
random_scale:
range: [ 1.0, 1.5, 2.0 ]
option: False
random_rotate:
max_angle: 20
option: True
random_crop:
version: "random_resize_crop"
scale: [0.03, 0.4]
ratio: [0.75, 1.33]
rnd_threshold: 1.0
option: True
random_horizontal_flip:
option: True
random_colorjitter:
brightness: 0.2
contrast: 0.2
saturation: 0.2
hue: 0.2
option: True

test:
trained_model : null
custom_data:
test_set_size: 500
test_data_dir: "E:/train lic plate/CRAFT_DATA"
text_threshold: 0.75
low_text: 0.5
link_threshold: 0.2
canvas_size: 2240
mag_ratio: 1.75
poly: False
cuda: True
vis_opt: False
please help me where and what I'm doing wrong.