Can't go through tutorial on windows....

[DynConcepts]

After much struggling (e.g. installs using pip failing, having to use anaconda) I am stuck at:

`(base) PS C:\repos\github\yolov5> python train.py --img 640 --batch 8 --epochs 30 --data ./data/elephant.yaml --cfg ./models/yolov5s.yaml --weights '' --device 0
Apex recommended for faster mixed precision training: https://github.com/NVIDIA/apex
{'lr0': 0.01, 'momentum': 0.937, 'weight_decay': 0.0005, 'giou': 0.05, 'cls': 0.58, 'cls_pw': 1.0, 'obj': 1.0, 'obj_pw': 1.0, 'iou_t': 0.2, 'anchor_t': 4.0, 'fl_gamma': 0.0, 'hsv_h': 0.014, 'hsv_s': 0.68, 'hsv_v': 0.36, 'degrees': 0.0, 'translate': 0.0, 'scale': 0.5, 'shear': 0.0}
usage: train.py [-h] [--epochs EPOCHS] [--batch-size BATCH_SIZE] [--cfg CFG] [--data DATA]
[--img-size IMG_SIZE [IMG_SIZE ...]] [--rect] [--resume] [--nosave] [--notest] [--evolve]
[--bucket BUCKET] [--cache-images] [--weights WEIGHTS] [--name NAME] [--device DEVICE] [--adam]
[--multi-scale] [--single-cls]
train.py: error: argument --weights: expected one argument
(base) PS C:\repos\github\yolov5>

`

Does anyone have a validated sequence that runs from start to finish on a fresh Windows 10 Virtual Machine [NO CUDA], no assumptions, no pre-requisites...