v0.1

Adadelta: lr=0.99
ExponentialLR: gamma=0.9
batch-size: 16
imgsz: [288, 512]

Epoch: 20 / 100

Train loss: 160.515360: 100%|███████████████████████████████████| 4889/4889 [45:13<00:00, 1.80it/s]
Val loss: 553.028475: 100%|█████████████████████████████████████| 788/788 [02:51<00:00, 4.60it/s]
--- Saving weights to: runs/train/last.pt ---
lr: [0.12036088804466365]

val.py

Val loss: 109.242839 | TP: 28109, TN: 5867, FP1: 700, FP2: 639, FN: 2479 | Accuracy: 0.8990, Precision: 0.9545, Recall: 0.9190: 100%|█████████| 788/788 [02:55<00:00, 4.50it/s]