在我的CNN的第57纪元左右,当模型检查点被保存时,我收到一条错误消息:
OSError: Unable to create file (unable to open file: name = 'BestF1_SMOTE_UP_Transf.hdf5'
问题是,在那之前,模特们一直在节省开支。仅仅看一下输出,它在大约15个检查点保存了模型。然后突然停止工作。在
我不知道该怎么做,我被难住了。因为在这一点上它工作得很好。在56到57之间发生了一些事情。一些谷歌搜索的问题我发现有人降低了他们的Keras版本,但这有点激烈。过去几个月我一直在保存模型,没有问题。事实上,我的其他型号现在都很省钱。就这一个。。(如果重要的话,我使用VGGnet作为特性提取器)。在
有问题的文件名和检查点:
^{pr2}$在此处进行完整回溯:
Epoch 00056: val_f1_score improved from 0.92658 to 0.92772, saving model to BestF1_SMOTE_UP_Transf.hdf5
Epoch 57/400
14243/14243 [==============================] - 5s 321us/step - loss: 0.0125 - auroc: 1.0000 - precision: 0.9965 - recall: 0.9980 - f1_score: 0.9973 - val_loss: 0.4475 - val_auroc: 0.9607 - val_precision: 0.9149 - val_recall: 0.9434 - val_f1_score: 0.9289
Epoch 00057: val_f1_score improved from 0.92772 to 0.92892, saving model to BestF1_SMOTE_UP_Transf.hdf5
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-38-9b31dbe220b2> in <module>
9 reduce_lr = ReduceLROnPlateau(monitor='val_f1_score', factor=0.2,patience=5, min_lr=0.0001)
10
---> 11 historynew = model.fit(train_features_vgg,ytrain, batch_size=batch_size,callbacks=[reduce_lr,checkpoint],epochs=400,validation_data=(validation_features_vgg, ytest),verbose=1)
12
~\Anaconda3\envs\Tensorflow\lib\site-packages\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
1037 initial_epoch=initial_epoch,
1038 steps_per_epoch=steps_per_epoch,
-> 1039 validation_steps=validation_steps)
1040
1041 def evaluate(self, x=None, y=None,
~\Anaconda3\envs\Tensorflow\lib\site-packages\keras\engine\training_arrays.py in fit_loop(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)
215 for l, o in zip(out_labels, val_outs):
216 epoch_logs['val_' + l] = o
--> 217 callbacks.on_epoch_end(epoch, epoch_logs)
218 if callback_model.stop_training:
219 break
~\Anaconda3\envs\Tensorflow\lib\site-packages\keras\callbacks.py in on_epoch_end(self, epoch, logs)
77 logs = logs or {}
78 for callback in self.callbacks:
---> 79 callback.on_epoch_end(epoch, logs)
80
81 def on_batch_begin(self, batch, logs=None):
~\Anaconda3\envs\Tensorflow\lib\site-packages\keras\callbacks.py in on_epoch_end(self, epoch, logs)
444 self.model.save_weights(filepath, overwrite=True)
445 else:
--> 446 self.model.save(filepath, overwrite=True)
447 else:
448 if self.verbose > 0:
~\Anaconda3\envs\Tensorflow\lib\site-packages\keras\engine\network.py in save(self, filepath, overwrite, include_optimizer)
1088 raise NotImplementedError
1089 from ..models import save_model
-> 1090 save_model(self, filepath, overwrite, include_optimizer)
1091
1092 def save_weights(self, filepath, overwrite=True):
~\Anaconda3\envs\Tensorflow\lib\site-packages\keras\engine\saving.py in save_model(model, filepath, overwrite, include_optimizer)
377 opened_new_file = False
378
--> 379 f = h5dict(filepath, mode='w')
380
381 try:
~\Anaconda3\envs\Tensorflow\lib\site-packages\keras\utils\io_utils.py in __init__(self, path, mode)
184 self._is_file = False
185 elif isinstance(path, str):
--> 186 self.data = h5py.File(path, mode=mode)
187 self._is_file = True
188 elif isinstance(path, dict):
~\Anaconda3\envs\Tensorflow\lib\site-packages\h5py\_hl\files.py in __init__(self, name, mode, driver, libver, userblock_size, swmr, **kwds)
310 with phil:
311 fapl = make_fapl(driver, libver, **kwds)
--> 312 fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
313
314 if swmr_support:
~\Anaconda3\envs\Tensorflow\lib\site-packages\h5py\_hl\files.py in make_fid(name, mode, userblock_size, fapl, fcpl, swmr)
146 fid = h5f.create(name, h5f.ACC_EXCL, fapl=fapl, fcpl=fcpl)
147 elif mode == 'w':
--> 148 fid = h5f.create(name, h5f.ACC_TRUNC, fapl=fapl, fcpl=fcpl)
149 elif mode == 'a':
150 # Open in append mode (read/write).
h5py\_objects.pyx in h5py._objects.with_phil.wrapper()
h5py\_objects.pyx in h5py._objects.with_phil.wrapper()
h5py\h5f.pyx in h5py.h5f.create()
OSError: Unable to create file (unable to open file: name = 'BestF1_SMOTE_UP_Transf.hdf5', errno = 13, error message = 'Permission denied', flags = 13, o_flags = 302)
目前没有回答
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