Training is stopped imediatedly after running?

[aidevmin]

I fine tuning YOLOv4 with my custom dataset - 4 classes.

 159 conv   1024       3 x 3/ 1     16 x  16 x 512 ->   16 x  16 x1024 2.416 BF
 160 conv     27       1 x 1/ 1     16 x  16 x1024 ->   16 x  16 x  27 0.014 BF
 161 yolo
[yolo] params: iou loss: ciou (4), iou_norm: 0.07, obj_norm: 1.00, cls_norm: 1.00, delta_norm: 1.00, scale_x_y: 1.05
nms_kind: greedynms (1), beta = 0.600000 
Total BFLOPS 90.259 
avg_outputs = 742510 
 Allocate additional workspace_size = 79.04 MB 
Loading weights from yolov4.weights...
 seen 64, trained: 32032 K-images (500 Kilo-batches_64) 
Done! Loaded 162 layers from weights-file 
Learning Rate: 0.0013, Momentum: 0.949, Decay: 0.0005
 Detection layer: 139 - type = 28 
 Detection layer: 150 - type = 28 
 Detection layer: 161 - type = 28 
Saving weights to ./backup/yolov4_final.weights
 Create 6 permanent cpu-threads 

[stephanecharette]

This repo is no longer maintained. You should use the new hank.ai one and see what error is reported: https://github.com/hank-ai/darknet