diff --git a/exp/kerokero/train.py b/exp/kerokero/train.py
--- a/exp/kerokero/train.py
+++ b/exp/kerokero/train.py
@@ -1,14 +1,16 @@
+import os
+from time import time
 import argparse
 import logging as log
 
 import numpy as np
 from keras.layers import Conv2D,Dropout,Dense,Flatten,MaxPooling2D,BatchNormalization
 from keras.models import Sequential,load_model
+from keras.callbacks import TensorBoard
 
+import config as cfg
 import ftp
 
-log.basicConfig(level=log.INFO,format="%(asctime)s %(levelname)s: %(message)s")
-
 parser=argparse.ArgumentParser()
 parser.add_argument("data")
 parser.add_argument("--load_model")
@@ -82,10 +84,11 @@ with np.load(args.data) as data:
 	testLabels=data["testLabels"]
 log.info("done")
 
+tensorboard = TensorBoard(log_dir=os.path.join(cfg.thisDir,"../logs","{}".format(time())))
 for i in range(args.initial_epoch//10,args.epochs//10):
-	model.fit(trainImages.reshape((-1,224,224,1)),trainLabels,epochs=(i+1)*10,initial_epoch=i*10,batch_size=128,validation_split=0.2)
+	model.fit(trainImages.reshape((-1,224,224,1)),trainLabels,epochs=(i+1)*10,initial_epoch=i*10,batch_size=128,validation_split=0.2,callbacks=[tensorboard])
 	path=args.save_model.format((i+1)*10)
 	log.info("saving model...")
 	model.save(path)
-	if i%2==1: ftp.push(path)
-log.info(model.evaluate(testImages,testLabels))
+	ftp.push(path)
+log.info(model.evaluate(testImages.reshape((-1,224,224,1)),testLabels))