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car-detection-bayes
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hyperparameter updates

This commit is contained in:
Glenn Jocher 2019-04-19 12:37:38 +02:00
parent 2643af18b2
commit 6525c76f9c
1 changed files with 12 additions and 10 deletions
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train.py
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@ -11,16 +11,18 @@ from utils.datasets import *
from utils.utils import * from utils.utils import *
# Hyperparameters # Hyperparameters
hyp = {'k': 8.4875, # loss multiple # 0.852 0.94 0.924 0.883 1.33 # results
'xy': 0.079756, # xy loss fraction # 8.52 0.06833 0.01524 0.01509 0.9013 0.1003 0.001325 -3.853 0.8948 0.0004053 # hyp
'wh': 0.010461, # wh loss fraction hyp = {'k': 8.52, # loss multiple
'cls': 0.02105, # cls loss fraction 'xy': 0.06833, # xy loss fraction
'conf': 0.88873, # conf loss fraction 'wh': 0.01524, # wh loss fraction
'iou_t': 0.10, # iou target-anchor training threshold 'cls': 0.01509, # cls loss fraction
'lr0': 0.001, # initial learning rate 'conf': 0.9013, # conf loss fraction
'lrf': -5, # final learning rate = lr0 * (10 ** lrf) 'iou_t': 0.1003, # iou target-anchor training threshold
'momentum': 0.9, # SGD momentum 'lr0': 0.001325, # initial learning rate
'weight_decay': 0.0005, # optimizer weight decay 'lrf': -3.853, # final learning rate = lr0 * (10 ** lrf)
'momentum': 0.8948, # SGD momentum
'weight_decay': 0.0004053, # optimizer weight decay
} }