YOLOv8m/args.yaml

task: detect
mode: train
model: /scratch/project_2007454/ship_detection/yolo_models/yolov8m.pt
data: /run/nvme/job_15987186/data/processed//yolo_fold4.yaml
epochs: 200
patience: 30
batch: -1
imgsz: 640
save: true
save_period: -1
cache: disk
device: 0
workers: 5
project: /scratch/project_2007454/ship_detection/runs/yolov8m_Adam
name: fold_4
exist_ok: true
pretrained: false
optimizer: Adam
verbose: true
seed: 0
deterministic: true
single_cls: false
image_weights: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
save_hybrid: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
show: false
save_txt: false
save_conf: false
save_crop: false
hide_labels: false
hide_conf: false
vid_stride: 1
line_thickness: 3
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
boxes: true
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: false
opset: null
workspace: 4
nms: false
lr0: 0.001
lrf: 0.01
momentum: 0.9
weight_decay: 0.0
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
fl_gamma: 0.0
label_smoothing: 0.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.25
shear: 0.0
perspective: 0.0
flipud: 0.5
fliplr: 0.5
mosaic: 1.0
mixup: 0.0
copy_paste: 0.0
cfg: null
v5loader: false
tracker: botsort.yaml
save_dir: /scratch/project_2007454/ship_detection/runs/yolov8m_Adam/fold_4