fastai2/learner.py
def after_epoch(self):
        "Store and log the loss/metric values"
        self.learn.final_record = self.log[1:].copy()
        self.values.append(self.learn.final_record)
        if self.add_time: self.log.append(format_time(time.time() - self.start_epoch))
        self.logger(self.log)
        self.iters.append(self.smooth_loss.count)
Store and log the loss/metric values
Store and log the loss/metric values
Store and log the loss / metric values
def after_epoch(self):
        self.learn.final_record = self.log[1:].copy()
        self.values.append(self.learn.final_record)
        if self.add_time: self.log.append(format_time(time.time() - self.start_epoch))
        self.logger(self.log)
        self.iters.append(self.smooth_loss.count)
def after_epoch ( self ) : self . learn . final_record = self . log [ 1 : ] . copy ( ) self . values . append ( self . learn . final_record ) if self . add_time : self . log . append ( format_time ( time . time ( ) - self . start_epoch ) ) self . logger ( self . log ) self . iters . append ( self . smooth_loss . count )
Store and log the loss/metric values
Store and log the loss / metric values
"Store and log the loss/metric values"
self