How to use config.yaml to train the model in 1.1.1v ?

[vanishingkazen]

cli : anomalib train --config config/config.yaml

the command throw error : error: Validation failed: Subcommand 'train' does not accept nested key 'metrics.threshold.init_args.default_value'

How should I modify my config file to correctly run the command?
this is content of my config.yaml :

model:
class_path: anomalib.models.Cfa
init_args:
backbone: wide_resnet50_2
gamma_c: 1
gamma_d: 1
num_nearest_neighbors: 3
num_hard_negative_features: 3
radius: 1.0e-05

trainer:
max_epochs: 30
callbacks:
- class_path: lightning.pytorch.callbacks.EarlyStopping
init_args:
patience: 5
monitor: pixel_AUROC
mode: max

data:
class_path: anomalib.data.Folder
init_args:
name: LCC-FASD
root: "/data/user001/nvidia/datasets/LCC-FASD"
normal_dir: "normal"
abnormal_dir: "abnormal/"
normal_test_dir: "test"
mask_dir: null
normal_split_ratio: 0
extensions: [".png"]
train_batch_size: 128
eval_batch_size: 32
num_workers: 8
test_split_mode: from_dir
test_split_ratio: 0.2
val_split_mode: same_as_test
val_split_ratio: 0.5
seed: null

metrics:
image:
- F1Score
- AUROC
pixel:
- F1Score
- AUROC
threshold:
class_path: anomalib.metrics.F1AdaptiveThreshold
init_args:
default_value: 0.5