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Update min warmup iterations from 1k to 100 (#6768)

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Glenn Jocher 2022-02-24 23:37:25 +01:00 committed by GitHub
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train.py
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@ -268,7 +268,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
# Start training # Start training
t0 = time.time() t0 = time.time()
nw = max(round(hyp['warmup_epochs'] * nb), 1000) # number of warmup iterations, max(3 epochs, 1k iterations) nw = max(round(hyp['warmup_epochs'] * nb), 100) # number of warmup iterations, max(3 epochs, 100 iterations)
# nw = min(nw, (epochs - start_epoch) / 2 * nb) # limit warmup to < 1/2 of training # nw = min(nw, (epochs - start_epoch) / 2 * nb) # limit warmup to < 1/2 of training
last_opt_step = -1 last_opt_step = -1
maps = np.zeros(nc) # mAP per class maps = np.zeros(nc) # mAP per class