From e7240d5bfa73b441c85672b8fae9255640cfc336 Mon Sep 17 00:00:00 2001 From: txh18 Date: Sat, 30 Jan 2016 16:43:16 +0800 Subject: like data of twitter from choose2 to choose --- nerv/examples/lmptb/grulm_ptb_main.lua | 2 +- nerv/examples/lmptb/lstmlm_ptb_main.lua | 2 +- nerv/examples/lmptb/rnnlm_ptb_main.lua | 37 +++++++++++++++++++++++++++++++++ 3 files changed, 39 insertions(+), 2 deletions(-) diff --git a/nerv/examples/lmptb/grulm_ptb_main.lua b/nerv/examples/lmptb/grulm_ptb_main.lua index 838a665..4a3f39f 100644 --- a/nerv/examples/lmptb/grulm_ptb_main.lua +++ b/nerv/examples/lmptb/grulm_ptb_main.lua @@ -260,7 +260,7 @@ global_conf = { elseif (set == "twitter") then data_dir = root_dir .. '/twitter_new/DATA' -train_fn = data_dir .. '/twitter.choose2.adds' +train_fn = data_dir .. '/twitter.choose.adds' valid_fn = data_dir .. '/twitter.valid.adds' test_fn = data_dir .. '/comm.test.choose-ppl.adds' vocab_fn = data_dir .. '/twitter.choose.train.vocab' diff --git a/nerv/examples/lmptb/lstmlm_ptb_main.lua b/nerv/examples/lmptb/lstmlm_ptb_main.lua index 5794476..b576834 100644 --- a/nerv/examples/lmptb/lstmlm_ptb_main.lua +++ b/nerv/examples/lmptb/lstmlm_ptb_main.lua @@ -277,7 +277,7 @@ global_conf = { hidden_size = 300, layer_num = 1, chunk_size = 15, - batch_size = 20, + batch_size = 32, max_iter = 35, lr_decay = 1.003, decay_iter = 10, diff --git a/nerv/examples/lmptb/rnnlm_ptb_main.lua b/nerv/examples/lmptb/rnnlm_ptb_main.lua index dc011fb..a1d9471 100644 --- a/nerv/examples/lmptb/rnnlm_ptb_main.lua +++ b/nerv/examples/lmptb/rnnlm_ptb_main.lua @@ -197,6 +197,43 @@ global_conf = { work_dir_base = root_dir .. '/ptb/EXP-nerv/rnnlm_tnn' } +elseif (set == "twitter") then + +data_dir = root_dir .. '/twitter_new/DATA' +train_fn = data_dir .. '/twitter.choose.adds' +valid_fn = data_dir .. '/twitter.valid.adds' +test_fn = data_dir .. '/comm.test.choose-ppl.adds' +vocab_fn = data_dir .. '/twitter.choose.train.vocab' + +--qdata_dir = root_dir .. '/ptb/questionGen/gen' + +global_conf = { + lrate = 0.15, wcost = 1e-5, momentum = 0, clip_t = 5, + cumat_type = nerv.CuMatrixFloat, + mmat_type = nerv.MMatrixFloat, + nn_act_default = 0, + + hidden_size = 300, + layer_num = 1, + chunk_size = 15, + batch_size = 32, + max_iter = 30, + lr_decay = 1.003, + decay_iter = 10, + param_random = function() return (math.random() / 5 - 0.1) end, + dropout_str = "0.5", + + train_fn = train_fn, + valid_fn = valid_fn, + test_fn = test_fn, + vocab_fn = vocab_fn, + max_sen_len = 32, + sche_log_pre = "[SCHEDULER]:", + log_w_num = 40000, --give a message when log_w_num words have been processed + timer = nerv.Timer(), + work_dir_base = root_dir .. '/twitter_new/EXP-nerv/rnnlm_v1.0' +} + elseif (set == "msr_sc") then data_dir = '/home/slhome/txh18/workspace/sentenceCompletion/DATA_PV2' -- cgit v1.2.3