Hi all, DarkForest training code is open source now. Hopefully it will help the community.
https://github.com/facebookresearch/darkforestGo With 4 GPUs, the training procedure gives 56.1% top-1 accuracy in KGS dataset in 3.5 days, and 57.1% top-1 in 6.5 days (see the simple log below). The parameters used are the following: --epoch_size 256000 --GPU 4 --data_augmentation --alpha 0.1 --nthread 4 | Sun Aug 21 21:54:15 2016 | epoch 0001 | ms/batch 721 | train [1pi@1]: 11.230860 [1pi@5]: 30.617970 [3pi@1]: 3.099219 [3pi@5]: 14.042188 [2pi@5]: 18.935938 [2pi@1]: 4.482813 [policy]: 8.361849 | test [1pi@1]: 27.767189 [1pi@5]: 59.403130 [3pi@1]: 5.380469 [3pi@5]: 24.729689 [2pi@5]: 34.030472 [2pi@1]: 8.382812 [policy]: 6.558414 | saved * | Thu Aug 25 10:35:11 2016 | epoch 0381 | ms/batch 719 | train [1pi@1]: 56.226566 [1pi@5]: 87.523834 [3pi@1]: 21.542580 [3pi@5]: 51.992970 [2pi@5]: 68.728127 [2pi@1]: 34.199612 [policy]: 3.736506 | test [1pi@1]: 56.124222 [1pi@5]: 87.432816 [3pi@1]: 21.600000 [3pi@5]: 52.107815 [2pi@5]: 68.922661 [2pi@1]: 34.421875 [policy]: 3.737540 | saved * | Sun Aug 28 00:49:32 2016 | epoch 0661 | ms/batch 721 | train [1pi@1]: 57.075783 [1pi@5]: 88.215240 [3pi@1]: 22.512892 [3pi@5]: 53.472267 [2pi@5]: 70.093361 [2pi@1]: 35.576565 [policy]: 3.638625 | test [1pi@1]: 57.101566 [1pi@5]: 88.271095 [3pi@1]: 22.295313 [3pi@5]: 53.226566 [2pi@5]: 70.085938 [2pi@1]: 35.185940 [policy]: 3.646803 | saved Thanks! Best, Yuandong ---------------------------- Yuandong Tian Research Scientist, Facebook Artificial Intelligence Research (FAIR) Website: https://research.facebook.com/researchers/1517678171821436/yuandong-tian/
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