Unable to get metrics on custom data

[SIDD-1991]

Hi

I currently have a custom dataset which i have organized like this

MAIN_FOLDER/yolo/data/tmp/images->train(contains images for training )
MAIN_FOLDER/yolo/data/tmp/images->val(contains images for validation)

MAIN_FOLDER/yolo/data/tmp/labels->train(contains labels for training )
MAIN_FOLDER/yolo/data/tmp/labels->val(contains labels for training )

And below is the contents of my custom file general.yaml which i have placed in:
MAIN_FOLDER/yolo/config/dataset

Below is how my general.yaml looks like

====================================================================
path: MAIN_FOLDER/yolo/data/tmp
train: train
validation: val
class_num: 2
class_list: ['A', 'B']
image_size: [640, 640]
learning_rate: 0.0000001
out_path: runs
exist_ok: True
lucky_number: 10
use_wandb: True
use_tensorboard: False

weight: True # Path to weight or True for auto, False for no pretrained weight

The command i use for training is python lazy.py task=train model=v9-m dataset=general device=gpu weight=False

below is my training config file train.yaml

=============================================================================
task: train

defaults:

• validation: ../validation

epoch: 10

data:
batch_size: 5
image_size: ${image_size}
cpu_num: ${cpu_num}
shuffle: True
pin_memory: True
data_augment:
Mosaic: 1
# MixUp: 1
# HorizontalFlip: 0.5
RandomCrop: 1
RemoveOutliers: 1e-8

optimizer:
type: SGD
args:
lr: 0.00001
weight_decay: 0.0005
momentum: 0.937
nesterov: true

loss:
objective:
BCELoss: 0.5
BoxLoss: 7.5
DFLoss: 1.5
aux:
0.25
matcher:
iou: CIoU
topk: 10
factor:
iou: 6.0
cls: 0.5

scheduler:
type: LinearLR
warmup:
epochs: 3.0
args:
total_iters: ${task.epoch}
start_factor: 1
end_factor: 0.01

ema:
enable: true
decay: 0.995

Any idea what i am doing wrong maybe it isn't even loading my data.