$ python3 ./bin/jack-train.py with config=conf/lp/distmult.yaml
[..]
INFO - jack.core.reader - Preparing training data...
INFO - jack.core.input_module - OnlineInputModule pre-processes data on-the-fly in first epoch and caches results for subsequent epochs! That means, first epoch might be slower.
INFO - jack.core.reader - Number of parameters: 8192400
INFO - jack.core.reader - Start training...
INFO - jack.util.hooks - Epoch 1 Iter 100 train loss 0.6931478554010391
INFO - jack.util.hooks - Epoch 1 Iter 100 ETA: 03:51:09, 18-03-13 15:42:51 (0.02%) ETA(epoch): 00:02:15 (2.26%)
INFO - jack.util.hooks - Epoch 1 Iter 100 Examples/s 3331.16
INFO - jack.util.hooks - Epoch 1 Iter 200 train loss 0.693147538304329
INFO - jack.util.hooks - Epoch 1 Iter 200 ETA: 02:33:24, 18-03-13 14:25:06 (0.05%) ETA(epoch): 00:01:27 (4.52%)
INFO - jack.util.hooks - Epoch 1 Iter 200 Examples/s 3113.81
INFO - jack.util.hooks - Epoch 1 Iter 300 train loss 0.6931469184160233
INFO - jack.util.hooks - Epoch 1 Iter 300 ETA: 02:05:57, 18-03-13 13:57:40 (0.07%) ETA(epoch): 00:01:10 (6.79%)
INFO - jack.util.hooks - Epoch 1 Iter 300 Examples/s 3313.12
INFO - jack.util.hooks - Epoch 1 Iter 400 train loss 0.6931471478939056
INFO - jack.util.hooks - Epoch 1 Iter 400 ETA: 01:51:43, 18-03-13 13:43:28 (0.09%) ETA(epoch): 00:01:01 (9.05%)
INFO - jack.util.hooks - Epoch 1 Iter 400 Examples/s 3407.57
INFO - jack.util.hooks - Epoch 1 Iter 500 train loss 0.6931466555595398
INFO - jack.util.hooks - Epoch 1 Iter 500 ETA: 01:43:06, 18-03-13 13:34:51 (0.11%) ETA(epoch): 00:00:54 (11.31%)
INFO - jack.util.hooks - Epoch 1 Iter 500 Examples/s 3427.17
INFO - jack.util.hooks - Epoch 1 Iter 600 train loss 0.6931470322608948
INFO - jack.util.hooks - Epoch 1 Iter 600 ETA: 01:37:22, 18-03-13 13:29:09 (0.14%) ETA(epoch): 00:00:50 (13.57%)
INFO - jack.util.hooks - Epoch 1 Iter 600 Examples/s 3419.35
INFO - jack.util.hooks - Epoch 1 Iter 700 train loss 0.6931466782093048
INFO - jack.util.hooks - Epoch 1 Iter 700 ETA: 01:33:03, 18-03-13 13:24:50 (0.16%) ETA(epoch): 00:00:47 (15.83%)
INFO - jack.util.hooks - Epoch 1 Iter 700 Examples/s 3501.43
INFO - jack.util.hooks - Epoch 1 Iter 800 train loss 0.693147474527359
INFO - jack.util.hooks - Epoch 1 Iter 800 ETA: 01:30:34, 18-03-13 13:22:23 (0.18%) ETA(epoch): 00:00:44 (18.10%)
DistMult is not really training: