Fix bias warmup LR init (#8356)
Per https://github.com/ultralytics/yolov5/issues/8352pull/8359/head
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b0814c9521
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8ebf569d14
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train.py
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train.py
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@ -335,7 +335,7 @@ def train(hyp, opt, device, callbacks): # hyp is path/to/hyp.yaml or hyp dictio
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accumulate = max(1, np.interp(ni, xi, [1, nbs / batch_size]).round())
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for j, x in enumerate(optimizer.param_groups):
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# bias lr falls from 0.1 to lr0, all other lrs rise from 0.0 to lr0
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x['lr'] = np.interp(ni, xi, [hyp['warmup_bias_lr'] if j == 2 else 0.0, x['initial_lr'] * lf(epoch)])
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x['lr'] = np.interp(ni, xi, [hyp['warmup_bias_lr'] if j == 0 else 0.0, x['initial_lr'] * lf(epoch)])
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if 'momentum' in x:
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x['momentum'] = np.interp(ni, xi, [hyp['warmup_momentum'], hyp['momentum']])
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