优化一些训练参数，行不行还不知道

train.h

@@ -28,7 +28,7 @@ class Train
 {
 public:
     Train(Size size=COMPILE_MAX_BOARD_LEN, uint32_t state_c=2, uint32_t n_thread=6, double lr=4e-3, double c_lr=1, double temp=1, uint32_t n_simulate=400,
-          uint32_t c_puct=5, double virtual_loss=3, uint32_t buffer_size=10000, uint32_t batch_size=256, uint32_t epochs=20, double kl_targ=0.02, uint32_t check_freq=10, uint32_t n_game=2000) :
+          uint32_t c_puct=5, double virtual_loss=3, uint32_t buffer_size=10000, uint32_t batch_size=256, uint32_t epochs=20, double kl_targ=0.02, uint32_t check_freq=30, uint32_t n_game=2000) :
             nogo(size), network(best_path, true, state_c, size, size*size), mcts(&network, n_thread, c_puct, temp, n_simulate, virtual_loss, size*size, true),
             state_c(state_c), n_thread(n_thread), c_puct(c_puct), virtual_loss(virtual_loss), temp(temp), n_simulate(n_simulate),
             N(buffer_size), lr(lr), c_lr(c_lr), batch_size(batch_size), epochs(epochs), kl_targ(kl_targ), check_freq(check_freq), n_game(n_game),