ValorantTracker / data.yaml
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_wandb:
value:
cli_version: 0.19.2
m: []
python_version: 3.11.11
t:
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"2":
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"4": 3.11.11
"5": 0.19.2
"8":
- 5
"12": 0.19.2
"13": linux-x86_64
artifact_alias:
value: latest
batch_size:
value: 16
bbox_interval:
value: -1
bucket:
value: ""
cache:
value: ram
cfg:
value: ./models/custom_yolov5s.yaml
cos_lr:
value: false
data:
value: /content/yolov5/data.yaml
device:
value: ""
entity:
value: null
epochs:
value: 100
evolve:
value: null
exist_ok:
value: false
freeze:
value:
- 0
hyp:
value:
anchor_t: 4
box: 0.05
cls: 0.5
cls_pw: 1
copy_paste: 0
degrees: 0
fl_gamma: 0
fliplr: 0.5
flipud: 0
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
iou_t: 0.2
lr0: 0.01
lrf: 0.01
mixup: 0
momentum: 0.937
mosaic: 1
obj: 1
obj_pw: 1
perspective: 0
scale: 0.5
shear: 0
translate: 0.1
warmup_bias_lr: 0.1
warmup_epochs: 3
warmup_momentum: 0.8
weight_decay: 0.0005
image_weights:
value: false
imgsz:
value: 416
label_smoothing:
value: 0
local_rank:
value: -1
multi_scale:
value: false
name:
value: yolov5s_results
noautoanchor:
value: false
noplots:
value: false
nosave:
value: false
noval:
value: false
optimizer:
value: SGD
patience:
value: 100
project:
value: runs/train
quad:
value: false
rect:
value: false
resume:
value: false
save_dir:
value: runs/train/yolov5s_results2
save_period:
value: -1
seed:
value: 0
single_cls:
value: false
sync_bn:
value: false
upload_dataset:
value: false
weights:
value: ""
workers:
value: 8
train: train/images
val: valid/images
test: test/images
nc: 1
names: ['0']