KeyError:"val_loss";训练模型时 [英] KeyError: ''val_loss" when training model
问题描述
我正在使用keras训练模型,并且在fit_generator函数的回调中遇到错误.我总是跑到纪元3rd并得到这个错误
I am training a model with keras and am getting an error in callback in fit_generator function. I always run to epoch 3rd and get this error
annotation_path = 'train2.txt'
log_dir = 'logs/000/'
classes_path = 'model_data/deplao_classes.txt'
anchors_path = 'model_data/yolo_anchors.txt'
class_names = get_classes(classes_path)
num_classes = len(class_names)
anchors = get_anchors(anchors_path)
input_shape = (416,416) # multiple of 32, hw
is_tiny_version = len(anchors)==6 # default setting
if is_tiny_version:
model = create_tiny_model(input_shape, anchors, num_classes,
freeze_body=2, weights_path='model_data/tiny_yolo_weights.h5')
else:
model = create_model(input_shape, anchors, num_classes,
freeze_body=2, weights_path='model_data/yolo_weights.h5') # make sure you know what you freeze
logging = TensorBoard(log_dir=log_dir)
checkpoint = ModelCheckpoint(log_dir + 'ep{epoch:03d}-loss{loss:.3f}-val_loss{val_loss:.3f}.h5',
monitor='val_loss', save_weights_only=True, save_best_only=True, period=3)
reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=3, verbose=1)
early_stopping = EarlyStopping(monitor='val_loss', min_delta=0, patience=10, verbose=1)
[error]
Traceback (most recent call last):
File "train.py", line 194, in <module>
_main()
File "train.py", line 69, in _main
callbacks=[logging, checkpoint])
File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\engine\training_generator.py", line 251, in fit_generator
callbacks.on_epoch_end(epoch, epoch_logs)
File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\callbacks.py", line 79, in on_epoch_end
callback.on_epoch_end(epoch, logs)
File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\callbacks.py", line 429, in on_epoch_end
filepath = self.filepath.format(epoch=epoch + 1, **logs)
KeyError: 'val_loss'
有人能找到问题帮助我吗?
can anyone find out problem to help me?
预先感谢您的帮助.
推荐答案
此回调在迭代3的末尾运行.
This callback runs at the end of iteration 3.
checkpoint = ModelCheckpoint(log_dir + 'ep{epoch:03d}-loss{loss:.3f}-val_loss{val_loss:.3f}.h5',
monitor='val_loss', save_weights_only=True, save_best_only=True, period=3)
错误消息声称执行时,logs
变量中没有val_loss:
The error message is claiming that there is no val_loss in the logs
variable when executing:
filepath = self.filepath.format(epoch=epoch + 1, **logs)
如果在没有validation_data的情况下调用fit,就会发生这种情况.
This would happen if fit is called without validation_data.
我将从简化模型检查点的路径名开始.在名称中包含纪元可能就足够了.
I would start by simplifying the path name for model checkpoint. It is probably enough to include the epoch in the name.
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