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log_maxalpha_0.05.txt
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log_maxalpha_0.05.txt
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2017-07-26 16:59:44,464 [doc2vec] : collecting all words and their counts
2017-07-26 16:59:44,557 [doc2vec] : PROGRESS: at sentence #0, processed 0 words, keeping 0 word types
2017-07-26 16:59:44,950 [doc2vec] : PROGRESS: at sentence #10000, processed 317372 words, keeping 37330 word types
2017-07-26 16:59:45,320 [doc2vec] : PROGRESS: at sentence #20000, processed 642820 words, keeping 60292 word types
2017-07-26 16:59:45,689 [doc2vec] : PROGRESS: at sentence #30000, processed 954072 words, keeping 78070 word types
2017-07-26 16:59:46,031 [doc2vec] : PROGRESS: at sentence #40000, processed 1246727 words, keeping 92614 word types
2017-07-26 16:59:46,413 [doc2vec] : PROGRESS: at sentence #50000, processed 1582017 words, keeping 108273 word types
2017-07-26 16:59:46,831 [doc2vec] : PROGRESS: at sentence #60000, processed 1898143 words, keeping 121889 word types
2017-07-26 16:59:47,219 [doc2vec] : PROGRESS: at sentence #70000, processed 2219053 words, keeping 135001 word types
2017-07-26 16:59:47,601 [doc2vec] : PROGRESS: at sentence #80000, processed 2539367 words, keeping 147384 word types
2017-07-26 16:59:47,978 [doc2vec] : PROGRESS: at sentence #90000, processed 2864484 words, keeping 157924 word types
2017-07-26 16:59:48,324 [doc2vec] : collected 170094 word types from a corpus of 3180173 raw words and 100000 sentences
2017-07-26 16:59:48,324 [doc2vec] : Loading a fresh vocabulary
2017-07-26 16:59:48,425 [doc2vec] : min_count=5 retains 30432 unique words (17% of original 170094, drops 139662)
2017-07-26 16:59:48,425 [doc2vec] : min_count=5 leaves 2979628 word corpus (93% of original 3180173, drops 200545)
2017-07-26 16:59:48,486 [doc2vec] : deleting the raw counts dictionary of 170094 items
2017-07-26 16:59:48,493 [doc2vec] : sample=0.001 downsamples 53 most-common words
2017-07-26 16:59:48,493 [doc2vec] : downsampling leaves estimated 2326357 word corpus (78.1% of prior 2979628)
2017-07-26 16:59:48,493 [doc2vec] : estimated required memory for 30432 words and 300 dimensions: 130857600 bytes
2017-07-26 16:59:48,522 [doc2vec] : constructing a huffman tree from 30432 words
2017-07-26 16:59:49,241 [doc2vec] : built huffman tree with maximum node depth 19
2017-07-26 16:59:49,290 [doc2vec] : resetting layer weights
2017-07-26 16:59:49,632 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
2017-07-26 16:59:50,644 [doc2vec] : PROGRESS: at 12.88% examples, 297304 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:51,645 [doc2vec] : PROGRESS: at 28.32% examples, 329972 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:52,650 [doc2vec] : PROGRESS: at 44.12% examples, 336673 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:53,681 [doc2vec] : PROGRESS: at 60.17% examples, 344682 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:54,710 [doc2vec] : PROGRESS: at 76.26% examples, 349487 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:55,720 [doc2vec] : PROGRESS: at 92.51% examples, 353877 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:56,106 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 16:59:56,107 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 16:59:56,117 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 16:59:56,126 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 16:59:56,152 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 16:59:56,157 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 16:59:56,162 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 16:59:56,162 [doc2vec] : training on 3180173 raw words (2326960 effective words) took 6.5s, 356560 effective words/s
2017-07-26 16:59:56,163 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 1: latest training loss is 8382980.000000
2017-07-26 16:59:57,221 [doc2vec] : PROGRESS: at 13.19% examples, 290705 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:58,224 [doc2vec] : PROGRESS: at 29.42% examples, 332725 words/s, in_qsize 0, out_qsize 0
2017-07-26 16:59:59,237 [doc2vec] : PROGRESS: at 45.31% examples, 339860 words/s, in_qsize 0, out_qsize 2
2017-07-26 17:00:00,243 [doc2vec] : PROGRESS: at 61.80% examples, 350697 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:01,252 [doc2vec] : PROGRESS: at 75.66% examples, 345579 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:02,286 [doc2vec] : PROGRESS: at 91.23% examples, 346911 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:02,757 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:02,757 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:02,758 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:02,760 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:02,772 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:02,784 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:02,797 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:02,800 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:02,800 [doc2vec] : training on 3180173 raw words (2326644 effective words) took 6.6s, 350679 effective words/s
2017-07-26 17:00:02,800 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 2: latest training loss is 9314768.000000
2017-07-26 17:00:03,812 [doc2vec] : PROGRESS: at 12.31% examples, 282756 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:04,827 [doc2vec] : PROGRESS: at 27.16% examples, 316797 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:05,837 [doc2vec] : PROGRESS: at 43.00% examples, 324866 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:06,882 [doc2vec] : PROGRESS: at 58.22% examples, 331108 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:07,900 [doc2vec] : PROGRESS: at 74.10% examples, 337910 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:08,930 [doc2vec] : PROGRESS: at 90.20% examples, 343051 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:09,441 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:09,452 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:09,460 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:09,487 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:09,495 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:09,501 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:09,501 [doc2vec] : training on 3180173 raw words (2326401 effective words) took 6.7s, 347343 effective words/s
2017-07-26 17:00:09,501 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 3: latest training loss is 9695628.000000
2017-07-26 17:00:10,516 [doc2vec] : PROGRESS: at 11.01% examples, 253169 words/s, in_qsize 0, out_qsize 1
2017-07-26 17:00:11,550 [doc2vec] : PROGRESS: at 27.16% examples, 313759 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:12,595 [doc2vec] : PROGRESS: at 45.24% examples, 337865 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:13,604 [doc2vec] : PROGRESS: at 61.80% examples, 348882 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:14,605 [doc2vec] : PROGRESS: at 77.84% examples, 354583 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:15,619 [doc2vec] : PROGRESS: at 93.47% examples, 355480 words/s, in_qsize 0, out_qsize 1
2017-07-26 17:00:15,967 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:15,968 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:15,977 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:15,987 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:16,016 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:16,021 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:16,026 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:16,026 [doc2vec] : training on 3180173 raw words (2325751 effective words) took 6.5s, 356690 effective words/s
2017-07-26 17:00:16,026 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 4: latest training loss is 9800970.000000
2017-07-26 17:00:17,041 [doc2vec] : PROGRESS: at 12.31% examples, 281482 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:18,090 [doc2vec] : PROGRESS: at 27.88% examples, 318008 words/s, in_qsize 0, out_qsize 1
2017-07-26 17:00:19,110 [doc2vec] : PROGRESS: at 44.02% examples, 329112 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:20,128 [doc2vec] : PROGRESS: at 60.55% examples, 341658 words/s, in_qsize 0, out_qsize 1
2017-07-26 17:00:21,142 [doc2vec] : PROGRESS: at 76.26% examples, 346575 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:22,142 [doc2vec] : PROGRESS: at 92.14% examples, 350781 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:22,556 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:22,556 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:22,556 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:22,556 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:22,556 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:22,557 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:22,557 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:22,557 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:22,557 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:22,557 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:22,557 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:22,560 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:22,568 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:22,595 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:22,614 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:22,623 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:22,623 [doc2vec] : training on 3180173 raw words (2326038 effective words) took 6.6s, 352710 effective words/s
2017-07-26 17:00:22,624 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 5: latest training loss is 9851732.000000
2017-07-26 17:00:23,676 [doc2vec] : PROGRESS: at 13.19% examples, 292563 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:24,685 [doc2vec] : PROGRESS: at 29.00% examples, 329209 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:25,706 [doc2vec] : PROGRESS: at 46.16% examples, 346241 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:26,759 [doc2vec] : PROGRESS: at 62.05% examples, 347841 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:27,769 [doc2vec] : PROGRESS: at 78.12% examples, 353087 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:28,802 [doc2vec] : PROGRESS: at 94.22% examples, 354178 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:29,097 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:29,097 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:29,098 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:29,105 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:29,117 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:29,136 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:29,142 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:29,142 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:29,143 [doc2vec] : training on 3180173 raw words (2325598 effective words) took 6.5s, 356937 effective words/s
2017-07-26 17:00:29,143 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 6: latest training loss is 10716296.000000
2017-07-26 17:00:30,148 [doc2vec] : PROGRESS: at 12.03% examples, 277094 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:31,162 [doc2vec] : PROGRESS: at 28.02% examples, 325036 words/s, in_qsize 0, out_qsize 1
2017-07-26 17:00:32,170 [doc2vec] : PROGRESS: at 45.24% examples, 345007 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:33,177 [doc2vec] : PROGRESS: at 61.12% examples, 351204 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:34,193 [doc2vec] : PROGRESS: at 77.30% examples, 355464 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:35,204 [doc2vec] : PROGRESS: at 92.51% examples, 355202 words/s, in_qsize 1, out_qsize 0
2017-07-26 17:00:35,640 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:35,641 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:35,641 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:35,642 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:35,649 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:35,664 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:35,681 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:35,682 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:35,686 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:35,686 [doc2vec] : training on 3180173 raw words (2326174 effective words) took 6.5s, 355664 effective words/s
2017-07-26 17:00:35,686 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 7: latest training loss is 10940231.000000
2017-07-26 17:00:36,698 [doc2vec] : PROGRESS: at 13.19% examples, 303970 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:37,700 [doc2vec] : PROGRESS: at 29.42% examples, 340489 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:38,702 [doc2vec] : PROGRESS: at 45.62% examples, 348817 words/s, in_qsize 0, out_qsize 1
2017-07-26 17:00:39,706 [doc2vec] : PROGRESS: at 61.80% examples, 355877 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:40,740 [doc2vec] : PROGRESS: at 78.12% examples, 359473 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:41,745 [doc2vec] : PROGRESS: at 94.22% examples, 361213 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:42,011 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:42,011 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:42,011 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:42,011 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:42,011 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:42,011 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:42,012 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:42,012 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:42,012 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:42,012 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:42,012 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:42,019 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:42,031 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:42,050 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:42,051 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:42,055 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:42,056 [doc2vec] : training on 3180173 raw words (2326232 effective words) took 6.4s, 365370 effective words/s
2017-07-26 17:00:42,056 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 8: latest training loss is 10656052.000000
2017-07-26 17:00:43,074 [doc2vec] : PROGRESS: at 12.31% examples, 280883 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:44,086 [doc2vec] : PROGRESS: at 26.14% examples, 305714 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:45,156 [doc2vec] : PROGRESS: at 42.98% examples, 318188 words/s, in_qsize 0, out_qsize 3
2017-07-26 17:00:46,157 [doc2vec] : PROGRESS: at 58.22% examples, 329553 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:47,178 [doc2vec] : PROGRESS: at 74.10% examples, 336385 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:48,179 [doc2vec] : PROGRESS: at 90.20% examples, 343428 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:48,696 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:48,697 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:48,705 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:48,735 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:48,737 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:48,744 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:48,755 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:48,756 [doc2vec] : training on 3180173 raw words (2326730 effective words) took 6.7s, 347444 effective words/s
2017-07-26 17:00:48,756 [doc2vec] : training model with 16 workers on 30432 vocabulary and 300 features, using sg=0 hs=1 sample=0.001 negative=5 window=5
After epoch 9: latest training loss is 10707312.000000
2017-07-26 17:00:49,807 [doc2vec] : PROGRESS: at 13.19% examples, 292646 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:50,845 [doc2vec] : PROGRESS: at 30.09% examples, 335247 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:51,883 [doc2vec] : PROGRESS: at 46.16% examples, 341138 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:52,887 [doc2vec] : PROGRESS: at 61.80% examples, 346296 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:53,892 [doc2vec] : PROGRESS: at 77.59% examples, 350869 words/s, in_qsize 0, out_qsize 0
2017-07-26 17:00:54,911 [doc2vec] : PROGRESS: at 93.45% examples, 353221 words/s, in_qsize 0, out_qsize 1
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 15 more threads
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 14 more threads
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 13 more threads
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 12 more threads
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 11 more threads
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 10 more threads
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 9 more threads
2017-07-26 17:00:55,216 [doc2vec] : worker thread finished; awaiting finish of 8 more threads
2017-07-26 17:00:55,217 [doc2vec] : worker thread finished; awaiting finish of 7 more threads
2017-07-26 17:00:55,217 [doc2vec] : worker thread finished; awaiting finish of 6 more threads
2017-07-26 17:00:55,217 [doc2vec] : worker thread finished; awaiting finish of 5 more threads
2017-07-26 17:00:55,231 [doc2vec] : worker thread finished; awaiting finish of 4 more threads
2017-07-26 17:00:55,242 [doc2vec] : worker thread finished; awaiting finish of 3 more threads
2017-07-26 17:00:55,259 [doc2vec] : worker thread finished; awaiting finish of 2 more threads
2017-07-26 17:00:55,268 [doc2vec] : worker thread finished; awaiting finish of 1 more threads
2017-07-26 17:00:55,268 [doc2vec] : worker thread finished; awaiting finish of 0 more threads
2017-07-26 17:00:55,268 [doc2vec] : training on 3180173 raw words (2325860 effective words) took 6.5s, 357295 effective words/s
After epoch 10: latest training loss is 10796318.000000