Challenging America word-gap prediction

Guess a word in a gap. [ver. 3.0.0]

# submitter when ver. description dev-0 PerplexityHashed test-A PerplexityHashed
747 Patyk 2024-04-24 11:15 3.0.0 first try N/A N/A
746 Pierzyński 2024-04-24 11:10 3.0.0 s442333kenlm5 kenlm N/A N/A
745 Czerniak 2024-04-24 01:12 3.0.0 Test submittion N/A N/A
744 Serba 2024-04-24 01:12 3.0.0 first submission n-grams N/A N/A
743 Dudziak 2024-04-23 19:34 3.0.0 ngrams test n-grams N/A N/A
742 Dudziak 2024-04-23 18:53 3.0.0 fourgram test n-grams N/A N/A
741 Kaszuba 2024-04-23 01:27 3.0.0 test trigram N/A N/A
740 Poliakov 2024-04-23 01:10 3.0.0 interpolation model n-grams N/A N/A
739 Zaręba 2024-04-23 01:10 3.0.0 lab5 modeljezyk N/A N/A
738 Zaręba 2024-04-23 00:59 3.0.0 lab5 modeljezyk test trigram N/A N/A
737 Zaręba 2024-04-23 00:58 3.0.0 lab5 modeljezyk test N/A N/A
736 Zaręba 2024-04-23 00:50 3.0.0 lab5 modeljezyk test trigram N/A N/A
735 Zaręba 2024-04-23 00:38 3.0.0 lab5 modeljezyk trigram N/A N/A
734 Zaręba 2024-04-23 00:37 3.0.0 lab5 modeljezyk trigram N/A N/A
733 Zaręba 2024-04-23 00:09 3.0.0 lab5 modeljezyk trigram N/A N/A
732 Henyk 2024-04-22 22:13 3.0.0 First outputs kenlm N/A N/A
731 Henyk 2024-04-22 21:13 3.0.0 First outputs kenlm N/A N/A
730 Lidwin 2024-04-17 10:21 3.0.0 Challenging America word-gap prediction n-grams N/A N/A
729 Lidwin 2024-04-14 14:57 3.0.0 Challenging America word-gap prediction n-grams N/A N/A
728 Lidwin 2024-04-14 14:53 3.0.0 Challenging America word-gap prediction n-grams N/A N/A
412 s444383 2023-09-29 13:26 3.0.0 2 bigram 771.30 804.54
389 s444383 2023-09-29 13:14 3.0.0 first commit bigram 664.30 711.96
25 Marcin Kostrzewski 2023-09-25 10:16 3.0.0 GRU, both left and right context used, embedding_size=128, hidden_size=256, gru_layers=4, epochs=10 161.69 175.95
407 Marcin Kostrzewski 2023-09-24 23:57 3.0.0 gpt-2, no fine tuning, rightcontext gpt2 717.83 772.76
81 Marcin Kostrzewski 2023-09-24 23:30 3.0.0 gpt-2, fine tuned with both left and right context, inference using left context gpt2 fine-tuned 232.55 262.79
727 Marcin Kostrzewski 2023-09-24 23:27 3.0.0 gpt-2, fine tuned with both left and right context, inference using left context gpt2 fine-tuned N/A N/A
180 Marcin Kostrzewski 2023-07-24 20:40 3.0.0 8_1 hidden_size=128 296.96 342.72
178 Marcin Kostrzewski 2023-07-24 20:40 3.0.0 8_1 hidden_size=512 295.64 340.18
147 s478815 2023-07-02 15:37 3.0.0 gpt-2, left gpt2 247.38 312.41
105 s478815 2023-07-02 14:55 3.0.0 gpt-2, fine tuning gpt2 230.07 279.51
512 Wiktor Bombola 2023-07-02 10:53 3.0.0 Zad9 hexagram neural-network bow 1589.14 1620.44
471 Wiktor Bombola 2023-07-01 08:52 3.0.0 gpt-finetuned with left context left-to-right gpt2 fine-tuned 1049.69 1048.83
138 Cezary 2023-07-01 06:31 3.0.0 fine tune gpt2 using left context top=15 gpt2 fine-tuned 274.76 309.08
419 Jakub Eichner 2023-06-30 19:50 3.0.0 Flan T5 zero shot solution transformer t5 722.50 817.70
514 Wiktor Bombola 2023-06-30 12:13 3.0.0 Zadanie 7 bigram model neural-network bigram 1640.99 1626.02
513 Wiktor Bombola 2023-06-30 12:11 3.0.0 Zadanie 7 bigram model neural-network bigram 1640.99 1626.02
284 Adam Wojdyła 2023-06-30 08:38 3.0.0 gpt2 finetuned, top=50, l+r context, 25000 train size top=50 neural-network 425.72 458.49
40 s444455 2023-06-29 23:48 3.0.0 gpt2 182.00 203.53
565 s478840 2023-06-29 21:45 3.0.0 s478840 28307.01 33091.12
451 Marcin Kostrzewski 2023-06-29 19:35 3.0.0 gpt-2, fine tuned with both left and right context, inference using left context gpt2 fine-tuned 985.08 977.20
726 Marcin Kostrzewski 2023-06-29 19:23 3.0.0 gpt-2, fine tuned with both left and right context, inference using left context gpt2 fine-tuned N/A N/A
725 Marcin Kostrzewski 2023-06-29 18:25 3.0.0 gpt-2, fine tuned with both left and right context, inference using left context gpt2 fine-tuned N/A N/A
724 Wiktor Bombola 2023-06-29 17:20 3.0.0 const wildcard 1032.10 N/A
723 Wiktor Bombola 2023-06-29 17:04 3.0.0 asdf 2734.50 N/A
722 Wiktor Bombola 2023-06-29 16:39 3.0.0 gpt version 2700.38 N/A
42 [anonymized] 2023-06-29 13:13 3.0.0 gpt2 finetuned gpt2 fine-tuned 197.06 214.52
350 s478840 2023-06-28 23:21 3.0.0 s478840 batch-size=8000 embed-size=150 vocab-size=30000 neural-network bigram 507.70 569.03
173 s478840 2023-06-28 21:38 3.0.0 s478840 gpt2 fine-tuned 295.46 332.90
119 s478840 2023-06-28 19:43 3.0.0 s478840 253.48 290.36
470 Wiktor Bombola 2023-06-28 19:35 3.0.0 test-calculated 1043.67 1042.73
511 Wiktor Bombola 2023-06-28 19:31 3.0.0 zad8-trigram 1043.67 1595.91
510 Wiktor Bombola 2023-06-28 19:15 3.0.0 trigram fixed probs !=1 1752.13 1595.91
509 Wiktor Bombola 2023-06-28 17:46 3.0.0 const wildcard 1031.72 1595.91
508 Wiktor Bombola 2023-06-28 17:21 3.0.0 asdf 1731.59 1595.91
507 Wiktor Bombola 2023-06-28 16:52 3.0.0 zad8-trigram-infile 1575.26 1595.91
506 Wiktor Bombola 2023-06-28 16:46 3.0.0 zad8-trigram 1575.26 1595.91
134 Adam Wojdyła 2023-06-28 15:51 3.0.0 s444507 top=30 neural-network 260.29 303.80
47 Jakub Eichner 2023-06-28 15:09 3.0.0 GPT-2 fine tuning word gap prediction v2 top=30 200.54 226.59
107 Jakub 2023-06-28 09:21 3.0.0 x oputput N/A 280.90
721 Jakub 2023-06-28 09:19 3.0.0 Fix output N/A N/A
720 Jakub 2023-06-28 09:14 3.0.0 Fixed output N/A N/A
719 Jakub 2023-06-28 09:11 3.0.0 Fixed output N/A N/A
718 Jakub 2023-06-28 09:10 3.0.0 Fixed output t5 N/A N/A
717 Jakub 2023-06-28 09:07 3.0.0 Updated inference t5 N/A N/A
376 Jakub 2023-06-28 08:38 3.0.0 Fix formatting t5 N/A 670.53
716 Jakub 2023-06-28 08:37 3.0.0 Fix output t5 N/A N/A
715 Jakub 2023-06-28 08:36 3.0.0 Fix output t5 N/A N/A
714 Jakub 2023-06-28 08:34 3.0.0 Remove double words at teh beginning t5 N/A N/A
713 Jakub 2023-06-28 08:29 3.0.0 Remove double words t5 N/A N/A
712 Jakub 2023-06-28 08:23 3.0.0 Flan t-5 reults t5 N/A N/A
444 s444465 2023-06-27 22:17 3.0.0 s444465 bigram neural model fixed v2 batch_size=2500 embed_size=200 epochs=5 learning-rate=1.0e-3 vocab_size=40000 neural-network bigram 787.58 934.09
483 s444465 2023-06-27 21:46 3.0.0 s444465 bigram neural model fixed batch_size=2500 embed_size=200 epochs=5 learning-rate=1.0e-3 vocab_size=40000 neural-network bigram 979.22 1155.04
482 s444465 2023-06-27 21:42 3.0.0 s444465 bigram neural model fixed bigram 979.22 1155.04
8 Jakub 2023-06-27 20:07 3.0.0 Updated input truncation N/A 85.17
10 Jakub 2023-06-27 19:09 3.0.0 Fix formatting fine-tuned roberta-base N/A 108.46
711 Jakub 2023-06-27 19:08 3.0.0 Truncated inputs fine-tuned roberta-base N/A N/A
20 Jakub 2023-06-27 17:52 3.0.0 Fix out formatting v3 fine-tuned roberta-base N/A 140.33
585 Jakub 2023-06-27 17:39 3.0.0 Fix out formatting fine-tuned roberta-base N/A Infinity
710 Jakub 2023-06-27 17:36 3.0.0 Fix output formatting fine-tuned roberta-base N/A N/A
709 Jakub 2023-06-27 17:24 3.0.0 First finetuned model fine-tuned roberta-base N/A N/A
31 [anonymized] 2023-06-26 21:55 3.0.0 gpt-2 left context out files left-to-right gpt2 transformer-decoder 165.54 185.64
46 s478839 2023-06-25 11:29 3.0.0 gpt2-fine-tuned top=30 train_dataset=50000 gpt2 fine-tuned 200.50 226.54
45 s478839 2023-06-24 22:05 3.0.0 gpt2-fine-tuned top=30 train_dataset=50000 gpt2 fine-tuned N/A 226.54
35 s478873 2023-06-24 20:29 3.0.0 s478873 gpt-2-file-tuned top_k=30 neural-network gpt2 fine-tuned 167.13 195.24
50 s478839 2023-06-24 20:00 3.0.0 gpt2-fine-tuned top=30 train_dataset=10000 gpt2 fine-tuned N/A 232.89
521 s478815 2023-06-20 21:04 3.0.0 s478815 zad4-2 bigram 1773.49 1829.31
117 s478815 2023-06-20 19:43 3.0.0 s478815 trigram 262.11 289.83
373 s444354 2023-06-17 12:25 3.0.0 gpt right context 512.49 650.59
372 s444354 2023-06-17 12:20 3.0.0 gpt right context 210.92 650.59
371 s444354 2023-06-17 12:17 3.0.0 gpt right context 229.46 650.59
174 444498 2023-06-16 23:33 3.0.0 gpt2 fine tuning 291.98 333.79
370 s444354 2023-06-16 23:27 3.0.0 gpt right context N/A 650.59
95 s444354 2023-06-16 22:55 3.0.0 gpt fine tune 230.88 272.09
708 s444354 2023-06-16 22:48 3.0.0 gpt right context N/A N/A
39 s444391 2023-06-16 22:01 3.0.0 fine-tuned gpt2 embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network fine-tuned 182.00 203.53
38 [anonymized] 2023-06-16 10:44 3.0.0 zad 13-1 182.00 203.53
158 Adam Wojdyła 2023-06-16 06:33 3.0.0 gpt2 top=10 neural-network 277.28 318.25
115 s444455 2023-06-15 21:00 3.0.0 12 268.65 287.19
566 Marcin Kostrzewski 2023-06-15 20:58 3.0.0 444409 GPT2 gpt2 38887.42 39655.75
707 Marcin Kostrzewski 2023-06-15 20:24 3.0.0 444409 GPT2 gpt2 N/A N/A
116 [anonymized] 2023-06-15 18:48 3.0.0 zad 12-2 268.65 287.20
706 Marcin Kostrzewski 2023-06-15 18:29 3.0.0 444409 GPT2 N/A N/A
136 [anonymized] 2023-06-15 17:44 3.0.0 Neural network with changed parameters batch_size=6000 embed_size=200 epochs=1 learning-rate=1.0e-2 vocab_size=2500 gpt2-large 266.63 307.54
37 Jakub Adamski 2023-06-15 13:31 3.0.0 gpt2 finetuning top=50 neural-network gpt2 182.00 203.53
276 s443930 2023-06-15 12:02 3.0.0 zadanie12-2-2 395.08 452.53
99 s444018 2023-06-15 10:47 3.0.0 s444018, transformer, decoder, right context top=25 gpt2 transformer-decoder 232.64 272.80
211 s444391 2023-06-14 22:20 3.0.0 lstm lab10 submission embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 480.73 375.17
32 s478873 2023-06-14 21:20 3.0.0 s478873 right-context top_k=30 neural-network gpt2 163.32 186.02
122 [anonymized] 2023-06-14 21:06 3.0.0 GPT-2 transfer-learning on reversed right context gpt2 271.09 292.21
16 Jakub Adamski 2023-06-14 15:53 3.0.0 nn trigram neural-network trigram 118.45 132.60
15 s444391 2023-06-14 10:05 3.0.0 Embeddings and bow solution embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 118.45 132.60
705 s444354 2023-06-14 08:42 3.0.0 gpt right context N/A N/A
410 s444354 2023-06-14 08:06 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=256 HIDDEN-SIZE=128 learning-rate=1.0e-4 vocab_size=40000 neural-network trigram 760.93 800.64
391 s444354 2023-06-14 08:06 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=256 HIDDEN-SIZE=256 learning-rate=1.0e-4 vocab_size=40000 neural-network trigram 684.67 715.52
267 s444417 2023-06-14 08:03 3.0.0 simple bigram bigram 408.71 441.15
479 s444354 2023-06-13 23:59 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=256 learning-rate=1.0e-4 vocab_size=40000 neural-network trigram 1129.08 1136.57
18 s444354 2023-06-13 21:05 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=750 learning-rate=1.0e-4 vocab_size=5000 123.73 138.03
121 s478855 2023-06-13 20:55 3.0.0 s478855 decoder right context 250.28 291.73
13 s444455 2023-06-12 23:24 3.0.0 embeddings, bov 119.72 130.68
374 s444417 2023-06-12 20:14 3.0.0 gpt, right context transformer-decoder 635.73 660.25
237 Mikołaj Pokrywka 2023-06-12 17:52 3.0.0 gorgot to add files 431.38 397.80
114 s444356 2023-06-12 11:14 3.0.0 transformer, decoder, only right context, fine tuning GPT-2 top=20 transformer-decoder 268.65 287.19
14 [anonymized] 2023-06-11 17:15 3.0.0 zad9 118.45 132.60
495 s444465 2023-06-11 14:16 3.0.0 444465 simple trigram prediction 1021.19 1188.03
48 s443930 2023-06-10 20:59 3.0.0 zadanie12-1 210.11 231.20
499 s444465 2023-06-10 16:52 3.0.0 s444465 bigram neural model batch_size=2500 embed_size=200 epochs=5 learning-rate=1.0e-3 vocab_size=40000 neural-network bigram 1116.73 1302.80
704 s444465 2023-06-10 16:25 3.0.0 s444465 bigram neural model 1116.73 N/A
150 [anonymized] 2023-06-10 15:31 3.0.0 zad 12 gpt2 266.94 314.41
703 s444465 2023-06-10 14:25 3.0.0 s444465 batch_size=1000 embed_size=300 epochs=5 hidden_size=150 learning-rate=1.0e-3 vocab_size=30000 neural-network trigram 239.80 N/A
120 Kamil Guttmann 2023-06-10 12:13 3.0.0 gpt-2, left+right context, zero-shot topk=150 gpt2 just-inference 252.00 291.50
86 s444501 2023-06-09 19:28 3.0.0 444501 gpt2 left+right context top=50 neural-network gpt2 229.46 268.68
584 Jakub 2023-06-09 00:34 3.0.0 nn, trigram, previous and next batch-size=5000 embed-size=100 epochs=1 topk=150 vocab-size=20000 neural-network trigram gpt2 transformer-decoder N/A Infinity
583 Jakub 2023-06-09 00:27 3.0.0 nn, trigram, previous and next batch-size=5000 embed-size=100 epochs=1 topk=150 vocab-size=20000 neural-network trigram gpt2 transformer-decoder N/A Infinity
702 Jakub 2023-06-09 00:25 3.0.0 nn, trigram, previous and next batch-size=5000 embed-size=100 epochs=1 topk=150 vocab-size=20000 neural-network trigram gpt2 transformer-decoder N/A N/A
582 Jakub 2023-06-09 00:11 3.0.0 nn, trigram, previous and next batch-size=5000 embed-size=100 epochs=1 topk=150 vocab-size=20000 neural-network trigram gpt2 transformer-decoder N/A Infinity
581 Jakub 2023-06-09 00:02 3.0.0 nn, trigram, previous and next batch-size=5000 embed-size=100 epochs=1 topk=150 vocab-size=20000 neural-network trigram gpt2 transformer-decoder 2071.99 Infinity
148 s444455 2023-06-08 21:47 3.0.0 gpt2 top=20 neural-network gpt2 264.48 312.53
91 s444391 2023-06-08 21:45 3.0.0 Gpt2 left-context embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 255.11 270.39
701 s444391 2023-06-08 21:44 3.0.0 Gpt2 left-context embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network N/A N/A
64 s478839 2023-06-08 21:38 3.0.0 gpt2 top=30 neural-network gpt2 N/A 250.27
129 s444354 2023-06-08 21:26 3.0.0 GPT2 247.64 296.49
402 s478839 2023-06-08 21:10 3.0.0 gpt2 top=10 neural-network gpt2 684.20 745.30
155 Mikołaj Pokrywka 2023-06-08 19:12 3.0.0 siup 290.31 316.31
172 [anonymized] 2023-06-08 19:08 3.0.0 478831 batch_size=6000 embed_size=200 epochs=1 learning-rate=1.0e-2 vocab_size=2500 281.29 331.71
43 [anonymized] 2023-06-08 18:03 3.0.0 s444421 top=10 gpt2 190.53 215.47
151 Jakub Adamski 2023-06-08 17:36 3.0.0 gpt2-left top=50 neural-network gpt2 266.94 314.51
33 s478873 2023-06-08 16:18 3.0.0 s478873 top_k=30 neural-network gpt2 165.88 186.29
75 s444452 2023-06-08 16:14 3.0.0 lstm lstm 234.01 257.14
700 [anonymized] 2023-06-08 15:36 3.0.0 478831 batch_size=6000 embed_size=200 epochs=1 learning-rate=1.0e-2 vocab_size=2500 gpt2 N/A N/A
275 s443930 2023-06-08 14:37 3.0.0 zadanie12-2 395.08 452.53
71 Martyna Druminska 2023-06-08 12:25 3.0.0 new 225.75 252.80
160 s444386 2023-06-08 12:20 3.0.0 gpt2 gpt2 286.78 318.75
153 s444501 2023-06-08 12:11 3.0.0 444501 gpt2-small left context top=50 neural-network gpt2 266.94 314.51
52 Mikołaj Pokrywka 2023-06-08 11:07 3.0.0 all done 216.26 239.28
699 Martyna Druminska 2023-06-08 11:02 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=200 700.81 N/A
698 Martyna Druminska 2023-06-08 11:02 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=100 700.81 N/A
697 Martyna Druminska 2023-06-08 11:02 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=1000 700.81 N/A
70 Martyna Druminska 2023-06-08 11:02 3.0.0 Prześlij pliki do 'dev-0' N/A 252.80
696 Martyna Druminska 2023-06-08 10:35 3.0.0 Prześlij pliki do 'test-A' HIDDENLAYER=200 700.81 N/A
695 Martyna Druminska 2023-06-08 10:35 3.0.0 Prześlij pliki do 'test-A' HIDDENLAYER=100 700.81 N/A
694 Martyna Druminska 2023-06-08 10:35 3.0.0 Prześlij pliki do 'test-A' HIDDENLAYER=1000 700.81 N/A
69 Martyna Druminska 2023-06-08 10:35 3.0.0 Prześlij pliki do 'test-A' N/A 252.80
693 Martyna Druminska 2023-06-08 10:18 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=200 700.81 N/A
692 Martyna Druminska 2023-06-08 10:18 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=100 700.81 N/A
691 Martyna Druminska 2023-06-08 10:18 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=1000 700.81 N/A
68 Martyna Druminska 2023-06-08 10:18 3.0.0 Prześlij pliki do 'dev-0' N/A 252.80
690 Martyna Druminska 2023-06-08 10:02 3.0.0 Usuń 'dev-0/out.tsv' N/A N/A
689 Martyna Druminska 2023-06-08 10:02 3.0.0 Usuń 'dev-0/out.tsv' HIDDENLAYER=200 700.81 N/A
688 Martyna Druminska 2023-06-08 10:02 3.0.0 Usuń 'dev-0/out.tsv' HIDDENLAYER=100 700.81 N/A
687 Martyna Druminska 2023-06-08 10:02 3.0.0 Usuń 'dev-0/out.tsv' HIDDENLAYER=1000 700.81 N/A
686 Martyna Druminska 2023-06-08 10:00 3.0.0 Prześlij pliki do 'dev-0' N/A N/A
685 Martyna Druminska 2023-06-08 10:00 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=200 700.81 N/A
684 Martyna Druminska 2023-06-08 10:00 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=100 700.81 N/A
683 Martyna Druminska 2023-06-08 10:00 3.0.0 Prześlij pliki do 'dev-0' HIDDENLAYER=1000 700.81 N/A
682 Martyna Druminska 2023-06-08 09:20 3.0.0 gpt N/A N/A
681 Martyna Druminska 2023-06-08 09:20 3.0.0 gpt HIDDENLAYER=200 700.81 N/A
680 Martyna Druminska 2023-06-08 09:20 3.0.0 gpt HIDDENLAYER=100 700.81 N/A
679 Martyna Druminska 2023-06-08 09:20 3.0.0 gpt HIDDENLAYER=1000 700.81 N/A
678 Martyna Druminska 2023-06-08 09:11 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram N/A N/A
677 Martyna Druminska 2023-06-08 09:11 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 HIDDENLAYER=200 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram 700.81 N/A
676 Martyna Druminska 2023-06-08 09:11 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 HIDDENLAYER=100 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram 700.81 N/A
675 Martyna Druminska 2023-06-08 09:11 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 HIDDENLAYER=1000 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram 700.81 N/A
674 s444501 2023-06-08 01:13 3.0.0 444501 gpt2-small left context zeroshot top=600 neural-network gpt2 226.60 N/A
152 s444501 2023-06-08 01:13 3.0.0 444501 gpt2-small left context zeroshot top=50 neural-network gpt2 266.94 314.51
98 s444501 2023-06-08 01:13 3.0.0 444501 gpt2-small left context zeroshot top=200 neural-network gpt2 242.33 272.46
78 s444501 2023-06-08 01:13 3.0.0 444501 gpt2-small left context zeroshot top=400 neural-network gpt2 231.45 257.93
109 s478855 2023-06-07 22:39 3.0.0 s478855 decoder 239.18 283.52
673 Martyna Druminska 2023-06-07 21:05 3.0.0 Prześlij pliki do 'test-A' N/A N/A
672 Martyna Druminska 2023-06-07 21:05 3.0.0 Prześlij pliki do 'test-A' HIDDENLAYER=200 700.81 N/A
671 Martyna Druminska 2023-06-07 21:05 3.0.0 Prześlij pliki do 'test-A' HIDDENLAYER=100 700.81 N/A
670 Martyna Druminska 2023-06-07 21:05 3.0.0 Prześlij pliki do 'test-A' HIDDENLAYER=1000 700.81 N/A
176 Cezary 2023-06-07 19:34 3.0.0 gpt2 top=15 gpt2 transformer-decoder 288.76 337.71
21 s409771 2023-06-07 19:14 3.0.0 gpt2-large gpt2-large 126.73 142.89
125 s444452 2023-06-07 18:50 3.0.0 gpt2 gpt2-large 245.00 292.67
146 s444415 2023-06-07 16:33 3.0.0 gpt2 lab 12 final gpt2-large 268.56 312.24
145 s444415 2023-06-07 16:20 3.0.0 gpt2 lab 12 v3 gpt2 Infinity 312.24
29 s444517 2023-06-07 14:41 3.0.0 gpt-2, only left-context gpt2 transformer-decoder 165.36 183.70
28 s444018 2023-06-07 14:35 3.0.0 s444018 top_k=25 gpt2 transformer-decoder 162.04 181.24
30 s444356 2023-06-07 13:55 3.0.0 transformer, decoder, left context top=20 transformer-decoder 165.26 185.39
163 s444417 2023-06-07 12:38 3.0.0 gpt-2, left context transformer-decoder 273.43 323.60
165 Kamil Guttmann 2023-06-07 12:22 3.0.0 gpt-2, left context, zero-shot topk=150 gpt2 just-inference 268.51 324.27
580 Kamil Guttmann 2023-06-07 12:01 3.0.0 gpt-2, left context, zero-shot topk=150 gpt2 just-inference 274.54 Infinity
159 s444386 2023-06-07 11:00 3.0.0 gpt-2 test gpt2 N/A 318.75
200 Cezary 2023-06-07 06:01 3.0.0 GRU lab 10 batch_size=15000 embed_size=200 epochs=1 hidden_size=190 l_context=15 learning-rate=1.0e-3 top=10 vocab_size=20000 lstm 318.99 358.50
326 s444391 2023-06-07 02:51 3.0.0 lstm lab10 submission embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 480.73 515.25
195 [anonymized] 2023-06-06 22:46 3.0.0 314.80 355.17
118 s444354 2023-06-06 22:20 3.0.0 LSTM, 10 right / 10 left context window embed_size=300 hidden_size=500 learning-rate=1.0e-4 vocab-size=5000 273.33 290.31
124 s444417 2023-06-06 22:10 3.0.0 nn lstm, epoch:1, l_ctx, r_ctx = 10 batch_size=5000 embed_size=200 vocab_size=5000 lstm 277.70 292.47
245 s444354 2023-06-06 22:09 3.0.0 LSTM, vocab-size: 500, embed-size: 300, hidden-layer:500 embed_size=300 epochs=1 hidden_size=750 learning-rate=1.0e-4 vocab_size=5000 374.37 407.04
219 s409771 2023-06-06 21:38 3.0.0 lstm, left context lstm 359.23 383.83
205 s444455 2023-06-06 21:18 3.0.0 trigram model embed_size=300 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 324.69 363.34
234 s444415 2023-06-06 21:07 3.0.0 lstm lab10 v4 lstm 356.93 397.05
502 s444415 2023-06-06 20:40 3.0.0 lstm lab10 v3 lstm 1366.37 1421.55
500 s444415 2023-06-06 20:30 3.0.0 lstm lab10 v2 lstm 1303.55 1315.75
57 ked 2023-06-06 20:10 3.0.0 bidirectional lstm with left-right context batch_size=4096 embed_size=150 hidden_size=1024 learning_rate=1.0e-4 vocab_size=20000 neural-network lstm 214.06 242.86
217 [anonymized] 2023-06-06 19:32 3.0.0 s444421 batch-size=1024 embed-size=200 lstm_size=150 vocab-size=1000 lstm 344.82 383.04
536 [anonymized] 2023-06-06 12:01 3.0.0 lstm 1 layer 100 epochs lstm 3042.17 3308.79
227 s444386 2023-06-06 11:30 3.0.0 lstm lstm 353.73 389.94
221 s444386 2023-06-06 11:25 3.0.0 lstm lstm 348.40 384.55
231 s444386 2023-06-06 10:10 3.0.0 lstm lstm 5137.00 394.92
669 s444386 2023-06-06 10:05 3.0.0 lstm lstm 5137.00 N/A
469 s444386 2023-06-06 10:00 3.0.0 lstm lstm 5137.00 1025.13
453 [anonymized] 2023-06-06 05:28 3.0.0 younger model test lstm 1021.98 1022.34
477 [anonymized] 2023-06-06 05:11 3.0.0 lstm first try lstm 1084.15 1091.10
228 Kamil Guttmann 2023-06-05 23:30 3.0.0 bilstm, left context batch-size=64 embed-size=50 epochs=1 learning-rate=1.0e-3 lstm-size=300 topk=200 vocab-size=5000 bilstm 353.20 390.31
239 Kamil Guttmann 2023-06-05 23:22 3.0.0 bilstm, left context batch-size=64 embed-size=50 epochs=1 learning-rate=1.0e-3 lstm-size=250 topk=200 vocab-size=5000 bilstm 369.57 403.05
208 s444517 2023-06-05 16:19 3.0.0 lstm, one direction, left context lstm 339.06 368.42
399 s444386 2023-06-05 15:41 3.0.0 lstm lstm 5137.00 741.12
230 s444386 2023-06-05 15:29 3.0.0 lstm lstm 5137.00 394.72
223 Mikołaj Pokrywka 2023-06-04 15:12 3.0.0 zad 10 done 344.75 386.51
251 s443930 2023-06-04 15:07 3.0.0 tetragram tetragram 385.42 416.99
229 s443930 2023-06-04 15:03 3.0.0 zad10 context-length=10 embed-size=50 hidden-dim=25 vocab-size=1000 352.48 391.87
224 s443930 2023-06-04 15:03 3.0.0 zad10 context-length=5 embed-size=50 hidden-dim=25 vocab-size=1000 351.13 388.41
157 s443930 2023-06-04 15:03 3.0.0 zad10 context-length=10 embed-size=200 hidden-dim=150 vocab-size=20000 294.13 317.58
233 s444356 2023-06-04 09:27 3.0.0 neural network, lstm batch-size=64 dropout=0.2 embed-size=100 epochs=1 hidden-size=128 learning-rate=1.0e-3 top=500 vocab-size=80000 neural-network lstm 363.17 396.95
23 s478815 2023-06-02 19:15 3.0.0 neural network 138.20 149.96
468 Wiktor Bombola 2023-06-02 12:28 3.0.0 change the standarization method of output, wildcard 1023.93 1024.24
552 Wiktor Bombola 2023-06-02 11:37 3.0.0 zad 7 prediction using only previous word 5340.29 5773.59
72 Martyna Druminska 2023-05-31 19:50 3.0.0 Zaktualizuj 'gonito.yaml' 227.23 253.07
27 s478873 2023-05-31 09:26 3.0.0 s478873 batch-size=5000 embed-size=100 epochs=1 hidden_size=100 top=100 vocab-size=10000 neural-network bow 164.88 180.53
192 s444452 2023-05-31 08:24 3.0.0 bag of words neural-network bow 344.26 354.14
34 Jakub Eichner 2023-05-31 08:17 3.0.0 Bag of words NN 170.75 188.60
90 s444455 2023-05-31 00:48 3.0.0 embeddings, bov embed_size=300 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 257.20 270.39
100 s444391 2023-05-31 00:45 3.0.0 Embeddings and bow solution final results embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 256.80 273.37
92 [anonymized] 2023-05-31 00:45 3.0.0 embeddings, bov 255.11 270.77
103 s444391 2023-05-31 00:33 3.0.0 Embeddings and bow solution embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network N/A 275.06
83 s444386 2023-05-30 23:04 3.0.0 neural bag-of-words bow 226.70 264.30
259 s444391 2023-05-30 22:58 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network N/A 425.63
244 s444354 2023-05-30 22:55 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=750 learning-rate=1.0e-4 vocab_size=5000 374.37 407.04
243 s444391 2023-05-30 22:49 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network N/A 407.04
19 s444018 2023-05-30 22:47 3.0.0 s444018 batch-size=10000 dropout=0.3 embed-size=300 hidden-size=1000 second-hidden-size=500 vocab-size=12500 neural-network bow 126.63 139.63
668 Martyna Druminska 2023-05-30 22:37 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 HIDDENLAYER=1000 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram 700.81 N/A
667 Martyna Druminska 2023-05-30 22:37 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 HIDDENLAYER=100 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram 700.81 N/A
666 Martyna Druminska 2023-05-30 22:37 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 HIDDENLAYER=200 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram 700.81 N/A
49 Martyna Druminska 2023-05-30 22:37 3.0.0 trigram model batch_size=800 embed_size=300 epochs=1 hidden_size=128 learning-rate=1.0e-4 vocab_size=38000 neural-network trigram N/A 232.67
258 s444391 2023-05-30 22:04 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 390.25 424.44
285 s444391 2023-05-30 21:42 3.0.0 trigram model embed_size=300 epochs=1 hidden_size=300 learning-rate=1.0e-4 vocab_size=5000 neural-network 423.46 458.77
142 s444415 2023-05-30 21:17 3.0.0 Nn ngram model pre top=500 neural-network n-grams bow 268.50 311.66
126 Jakub Adamski 2023-05-30 21:14 3.0.0 nn-trigram-tanh-bow 264.80 294.01
355 s444415 2023-05-30 21:14 3.0.0 nn model prepro neural-network n-grams bow 525.76 590.78
59 s444386 2023-05-30 20:39 3.0.0 nn with bag of words neural-network bow 218.85 243.69
161 s444415 2023-05-30 20:16 3.0.0 Nn ngram model lower vocab v2 neural-network n-grams bow 277.11 318.89
194 s444415 2023-05-30 20:12 3.0.0 Neural network bow lower vocab neural-network n-grams bow 305.08 355.06
216 Jakub Adamski 2023-05-30 19:41 3.0.0 lstm 344.56 380.25
177 s444386 2023-05-30 19:30 3.0.0 bag-of-words 264.05 339.02
356 s444415 2023-05-30 19:22 3.0.0 Nn ngram model top=10 neural-network n-grams bow 524.23 592.25
516 s444386 2023-05-30 19:20 3.0.0 bag-of-words 1691.10 1661.01
130 s444415 2023-05-30 19:13 3.0.0 Nn ngram model top=600 neural-network n-grams bow 262.42 300.73
171 s444415 2023-05-30 19:08 3.0.0 Nn ngram model top=300 neural-network n-grams 283.37 331.20
214 s444415 2023-05-30 19:04 3.0.0 Nn ngram model v6 neural-network n-grams 328.34 377.28
294 s444415 2023-05-30 19:01 3.0.0 Nn ngram model v5 neural-network n-grams 410.74 475.73
62 s444386 2023-05-30 18:09 3.0.0 bag-of-words neural-network bow 221.05 246.45
65 s444386 2023-05-30 17:59 3.0.0 bag-of-words 224.44 251.36
85 s444386 2023-05-30 17:52 3.0.0 bag-of-words 238.89 267.66
254 s444415 2023-05-30 17:48 3.0.0 Nn ngram model v4 neural-network n-grams 377.46 422.46
111 s444386 2023-05-30 17:47 3.0.0 bag-of-words 264.05 285.96
341 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=5 embed-size=140 learning-rate=1e-3 vocab-size=20000 533.75 558.09
327 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=10 embed-size=100 learning-rate=1e-3 vocab-size=10000 496.46 519.02
323 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=5 embed-size=140 learning-rate=1e-4 vocab-size=20000 485.65 512.96
322 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=10 embed-size=140 learning-rate=1e-3 vocab-size=20000 489.16 510.91
321 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=10000 context-length=10 embed-size=140 learning-rate=1e-4 vocab-size=20000 485.60 510.39
318 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=10 embed-size=300 learning-rate=1e-3 vocab-size=20000 481.32 505.13
317 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=10 embed-size=140 learning-rate=1e-4 vocab-size=20000 478.55 504.85
315 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=10 embed-size=140 learning-rate=1e-2 vocab-size=20000 483.35 502.12
314 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=10 embed-size=30 learning-rate=1e-3 vocab-size=1000 478.76 501.18
293 s443930 2023-05-30 17:04 3.0.0 Update outputs batch-size=5000 context-length=70 embed-size=140 learning-rate=1e-4 vocab-size=20000 454.83 473.56
9 s478846 2023-05-30 15:49 3.0.0 neural solution neural-network n-grams bow 96.29 105.79
154 s444386 2023-05-30 15:37 3.0.0 bag-of-words 298.25 316.09
17 s444356 2023-05-30 14:53 3.0.0 neural network, bag of words batch-size=10000 context-size=25 dropout=0.3 embed-size=200 epochs=1 hidden-size=1000 hidden-size_2=500 learning-rate=1.0e-3 [...] neural-network bow 125.69 134.70
143 s444386 2023-05-30 14:50 3.0.0 bag-of-words 279.87 311.92
665 Jakub Adamski 2023-05-30 14:44 3.0.0 lstm N/A N/A
170 s444386 2023-05-30 14:43 3.0.0 bag-of-words 296.27 329.63
664 Jakub Adamski 2023-05-30 14:40 3.0.0 lstm N/A N/A
41 Jakub Adamski 2023-05-30 14:14 3.0.0 nn-trigram 187.98 210.78
445 Jakub Adamski 2023-05-30 14:07 3.0.0 nn-trigram 935.24 942.35
22 s444417 2023-05-30 12:04 3.0.0 nn, vocab_size: 1500, embed_size: 200, batch_size: 5000, epoch:1, hl, l_ctx, r_ctx = 10 batch_size=5000 embed_size=200 vocab_size=15000 neural-network 130.41 143.54
11 s444501 2023-05-30 11:50 3.0.0 s444501 neural with bagging bagging_left_ctx=25 bagging_right_ctx=25 batch_size=4000 embed_size=300 epochs=1 hidden_size=150 learning-rate=1.0e-4 ngram_left_ctx=7 [...] neural-network 115.59 126.69
363 s444415 2023-05-30 10:50 3.0.0 Nn ngram model v3 neural-network n-grams 585.39 613.00
51 s444517 2023-05-30 10:43 3.0.0 trigram, vocab_size=5000, embed_size=150, batch_size=12500 neural-network trigram 215.12 234.42
365 s444415 2023-05-30 10:02 3.0.0 Nn ngram model v2 n-grams 587.84 613.49
364 s444415 2023-05-30 09:38 3.0.0 Nn ngram model neural-network n-grams 587.95 613.26
396 Jakub Adamski 2023-05-30 09:36 3.0.0 Trigram 616.35 737.65
401 Jakub Adamski 2023-05-30 07:36 3.0.0 Trigram 616.61 744.37
236 Mikołaj Pokrywka 2023-05-29 15:05 3.0.0 remove gonito yaml 431.38 397.80
235 Mikołaj Pokrywka 2023-05-29 15:00 3.0.0 Zajęcia 8 batch-size=6400,12800 epochs=1,2,3,4 learning-rate=0.0001,0.00001 training-set=100000-lines neural-network trigram 431.38 397.80
452 s444415 2023-05-29 13:54 3.0.0 Neural network trigram neural-network trigram 1016.11 1016.42
213 s444356 2023-05-29 10:57 3.0.0 neural network, bag of words batch-size=2500 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=1.0e-3 top=300 vocab-size=20000 neural-network bow 331.54 377.06
403 Jakub Adamski 2023-05-28 18:32 3.0.0 Trigram 650.19 757.07
36 s444517 2023-05-28 12:28 3.0.0 Neural network with context(left context 20 words, 3 previous words, 1 word after, 50k lines from input file) neural-network n-grams bow 179.79 198.41
359 s444354 2023-05-28 00:59 3.0.0 neurl-network bigram epochs=1 learning-rate=1.0e-3 neural-network bigram 512.49 600.70
56 s444354 2023-05-27 22:38 3.0.0 rerun with smoothing 214.99 240.33
663 s444354 2023-05-27 22:34 3.0.0 rerun with smoothing 214.99 N/A
662 s444354 2023-05-27 22:22 3.0.0 tetragrams-added 214.99 N/A
96 444498 2023-05-27 14:03 3.0.0 lab8 neural network solution top=200 242.33 272.46
76 444498 2023-05-27 14:03 3.0.0 lab8 neural network solution top=400 231.45 257.93
66 444498 2023-05-27 14:03 3.0.0 lab8 neural network solution top=600 226.60 252.52
24 s409771 2023-05-26 23:32 3.0.0 neural network, bag of words, l-context=10, r-context=5, batch-size=30_000, embed-size=300 neural-network bow 152.85 175.20
503 444498 2023-05-26 17:19 3.0.0 zajecia7 1206.03 1421.71
55 444498 2023-05-26 17:13 3.0.0 trigram, tetragram 210.92 239.79
579 444498 2023-05-26 17:03 3.0.0 trigram Infinity Infinity
12 s478846 2023-05-26 13:16 3.0.0 Neural network using embeddings neural-network bow 116.84 130.59
26 ked 2023-05-25 23:12 3.0.0 zad9_v3 neural-network 154.46 177.87
281 [anonymized] 2023-05-25 18:40 3.0.0 trigram 397.60 455.94
408 ked 2023-05-25 10:55 3.0.0 simple bigram redone corr 702.17 786.01
156 ked 2023-05-25 09:32 3.0.0 neural trigram fixed batch_size=512, 1024, 4096 embed_size=150 hidden_size=256, 1024 learning_rate=0.0001, 0.001 vocab_size=20000 neural-network 300.66 316.80
269 ked 2023-05-25 09:29 3.0.0 neural bigram fixed batch_size=5000 embed_size=150 vocab_size=20000 neural-network 394.97 446.29
578 Jakub Adamski 2023-05-24 11:40 3.0.0 Trigram Infinity Infinity
406 Jakub Adamski 2023-05-24 08:59 3.0.0 Trigram fixed 654.54 771.32
94 Jakub Eichner 2023-05-24 08:26 3.0.0 Bigram simple solution bigram challenging-america 240.31 272.06
553 Jakub Adamski 2023-05-24 07:39 3.0.0 Trigram improved 6374.19 6313.78
253 s444383 2023-05-15 10:16 3.0.0 bigram 380.26 420.77
353 s444383 2023-05-15 10:13 3.0.0 bigram 517.57 573.32
661 s444383 2023-05-15 09:29 3.0.0 bigram N/A N/A
660 s444383 2023-05-15 09:18 3.0.0 bigram N/A N/A
144 s478839 2023-05-10 23:11 3.0.0 s478839 batch_size=3000 embed_size=200 epochs=1 hidden_size=100 num_of_top=10 top=100 vocab_size=15000 neural-network trigram 272.53 312.09
123 s478839 2023-05-10 23:11 3.0.0 s478839 batch_size=3000 embed_size=200 epochs=1 hidden_size=100 num_of_top=10 top=200 vocab_size=15000 neural-network trigram 257.85 292.28
110 s478839 2023-05-10 23:11 3.0.0 s478839 batch_size=3000 embed_size=200 epochs=1 hidden_size=100 num_of_top=10 top=300 vocab_size=15000 neural-network trigram 251.88 284.56
188 s478873 2023-05-10 21:00 3.0.0 s478873 batch-size=1000 embed-size=500 EMBED_SIZE=300 epochs=1 vocab-size=2000 neural-network trigram 312.82 351.22
187 s478873 2023-05-10 21:00 3.0.0 s478873 batch-size=1000 embed-size=500 EMBED_SIZE=500 epochs=1 vocab-size=2000 neural-network trigram 314.40 348.95
186 s478873 2023-05-10 21:00 3.0.0 s478873 batch-size=1000 embed-size=500 EMBED_SIZE=200 epochs=1 vocab-size=2000 neural-network trigram 319.56 348.85
108 s478840 2023-05-10 20:25 3.0.0 s478840 batch-size=1500 embed-size=250 hidden-size=100 top=200 vocab-size=20000 neural-network trigram 246.31 281.23
88 s478840 2023-05-10 20:25 3.0.0 s478840 batch-size=1500 embed-size=250 hidden-size=100 top=400 vocab-size=20000 neural-network trigram 236.41 269.43
82 s478840 2023-05-10 20:25 3.0.0 s478840 batch-size=1500 embed-size=250 hidden-size=100 top=600 vocab-size=20000 neural-network trigram 232.15 263.30
382 s444354 2023-05-10 17:25 3.0.0 trigram lr=0.0001 vocab=40000 hiddensize=[128,256] embed-size=300 embed_size=300 epochs=1 hidden_size=256 learning-rate=1.0e-4 vocab_size=40000 neural-network trigram 640.26 691.03
102 s444018 2023-05-10 17:13 3.0.0 s444018 batch-size=2000 context-size=-2 embed-size=300 hidden-size=150 learning-rate=1.0e-4 top=200 vocab-size=25000 neural-network trigram 242.91 273.85
80 s444018 2023-05-10 17:13 3.0.0 s444018 batch-size=2000 context-size=-2 embed-size=300 hidden-size=150 learning-rate=1.0e-4 top=400 vocab-size=25000 neural-network trigram 231.35 258.18
74 s444018 2023-05-10 17:13 3.0.0 s444018 batch-size=2000 context-size=-2 embed-size=300 hidden-size=150 learning-rate=1.0e-4 top=600 vocab-size=25000 neural-network trigram 226.93 253.19
311 Adam Wojdyła 2023-05-10 09:41 3.0.0 trigram nn lr 0.1 emb=200 vocab=10k batch=6k hiddensize=100 batch-size=5000 embed-size=150 learningrate=1 vocab-size=15000 neural-network bigram 431.23 490.64
310 Adam Wojdyła 2023-05-10 09:41 3.0.0 trigram nn lr 0.1 emb=200 vocab=10k batch=6k hiddensize=100 batch-size=5000 embed-size=150 learningrate=0_001 vocab-size=15000 neural-network bigram 429.63 489.84
309 Adam Wojdyła 2023-05-10 09:41 3.0.0 trigram nn lr 0.1 emb=200 vocab=10k batch=6k hiddensize=100 batch-size=5000 embed-size=150 learningrate=0_1 vocab-size=15000 neural-network bigram 430.41 487.35
308 Adam Wojdyła 2023-05-10 09:41 3.0.0 trigram nn lr 0.1 emb=200 vocab=10k batch=6k hiddensize=100 batch-size=5000 embed-size=150 learningrate=0_0001 vocab-size=15000 neural-network bigram 427.98 487.02
303 Adam Wojdyła 2023-05-10 09:41 3.0.0 trigram nn lr 0.1 emb=200 vocab=10k batch=6k hiddensize=100 batch-size=5000 embed-size=150 learningrate=0_01 vocab-size=15000 neural-network bigram 427.79 480.29
58 Cezary 2023-05-10 07:51 3.0.0 This is my trigram nn solution batch_size=15000 embed_size=200 epochs=1 hidden_size=190 learning-rate=1.0e-3 top=10 vocab_size=20000 neural-network trigram 217.53 243.43
260 Jakub 2023-05-10 07:49 3.0.0 nn, trigram, previous and next out-embed-100 batch-size=10000 embed-size=- 100 - 500 - 1000 epochs=1 topk=10 vocab-size=20000 neural-network trigram 389.81 430.91
212 Jakub 2023-05-10 07:49 3.0.0 nn, trigram, previous and next out-embed-500 batch-size=10000 embed-size=- 100 - 500 - 1000 epochs=1 topk=10 vocab-size=20000 neural-network trigram 347.24 376.99
189 s478855 2023-05-09 21:57 3.0.0 s478855 BATCH_SIZE=2000 EMBED_SIZE=100 VOCAB_SIZE=10000 neural-network trigram 316.24 351.82
135 s478855 2023-05-09 21:57 3.0.0 s478855 BATCH_SIZE=2000 EMBED_SIZE=400 VOCAB_SIZE=10000 neural-network trigram 276.40 304.11
127 s478855 2023-05-09 21:57 3.0.0 s478855 BATCH_SIZE=2000 EMBED_SIZE=200 VOCAB_SIZE=10000 neural-network trigram 271.96 294.89
101 s444018 2023-05-09 21:26 3.0.0 s444018 top=200 242.91 273.85
79 s444018 2023-05-09 21:26 3.0.0 s444018 top=400 231.35 258.18
73 s444018 2023-05-09 21:26 3.0.0 s444018 top=600 226.93 253.19
567 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=5000 embed-size=100 epochs=1 hidden-layer=False learning-rate=1e-2 optimizer=Adam vocab-size=20000 neural-network trigram adam 63326.44 74084.21
270 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=5000 embed-size=100 epochs=2 hidden-layer=True learning-rate=1e-3 optimizer=Adam vocab-size=10000 neural-network trigram adam 406.17 446.54
249 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=5000 embed-size=100 epochs=1 hidden-layer=False learning-rate=1e-4 optimizer=Adam vocab-size=20000 neural-network trigram adam 389.04 413.63
247 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=5000 embed-size=100 epochs=1 hidden-layer=False learning-rate=1e-2 optimizer=Adagrad vocab-size=20000 neural-network trigram adam 384.42 411.31
242 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=5000 embed-size=100 epochs=1 hidden-layer=True learning-rate=1e-3 optimizer=Adam vocab-size=10000 neural-network trigram adam 383.27 406.92
209 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=1000 embed-size=100 epochs=1 hidden-layer=False learning-rate=1e-3 optimizer=Adam vocab-size=20000 neural-network trigram adam 347.11 368.50
204 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=10000 embed-size=100 epochs=1 hidden-layer=False learning-rate=1e-3 optimizer=Adam vocab-size=20000 neural-network trigram adam 339.31 362.71
198 s443930 2023-05-09 20:18 3.0.0 Zajęcia 8 batch-size=5000 embed-size=100 epochs=1 hidden-layer=False learning-rate=1e-3 optimizer=Adam vocab-size=20000 neural-network trigram adam 334.24 356.58
659 Mikołaj Pokrywka 2023-05-09 20:13 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=1 learning-rate=0dot00001 training-set=100000-lines neural-network trigram 526.98 N/A
342 Mikołaj Pokrywka 2023-05-09 20:13 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=1 learning-rate=0dot00001 training-set=100000-lines neural-network trigram N/A 561.23
226 Mikołaj Pokrywka 2023-05-09 20:13 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=12800 epochs=1 learning-rate=0dot0001 training-set=100000-lines neural-network trigram 347.67 388.41
203 Mikołaj Pokrywka 2023-05-09 20:13 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=1 learning-rate=0dot0001 training-set=100000-lines neural-network trigram 324.85 361.47
169 Mikołaj Pokrywka 2023-05-09 20:13 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=2 learning-rate=0dot0001 training-set=100000-lines neural-network trigram 292.90 327.95
141 Mikołaj Pokrywka 2023-05-09 20:13 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=3 learning-rate=0dot0001 training-set=100000-lines neural-network trigram 276.94 311.58
133 Mikołaj Pokrywka 2023-05-09 20:13 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=4 learning-rate=0dot0001 training-set=100000-lines neural-network trigram 267.06 300.97
225 Mikołaj Pokrywka 2023-05-09 20:08 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=1 learning-rate=0.0001 training-set=100000-lines neural-network trigram 347.67 388.41
202 Mikołaj Pokrywka 2023-05-09 20:08 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=1 learning-rate=0dot0001 training-set=100000-lines neural-network trigram N/A 361.47
168 Mikołaj Pokrywka 2023-05-09 20:08 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=2 learning-rate=0.0001 training-set=100000-lines neural-network trigram 292.90 327.95
140 Mikołaj Pokrywka 2023-05-09 20:08 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=3 learning-rate=0.0001 training-set=100000-lines neural-network trigram 276.94 311.58
132 Mikołaj Pokrywka 2023-05-09 20:08 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=4 learning-rate=0.0001 training-set=100000-lines neural-network trigram 267.06 300.97
201 Mikołaj Pokrywka 2023-05-09 20:01 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=1 learning-rate=0.0001 training-set=100000-lines neural-network trigram 347.67 388.41
167 Mikołaj Pokrywka 2023-05-09 20:01 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=2 learning-rate=0.0001 training-set=100000-lines neural-network trigram 292.90 327.95
139 Mikołaj Pokrywka 2023-05-09 20:01 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=3 learning-rate=0.0001 training-set=100000-lines neural-network trigram 276.94 311.58
131 Mikołaj Pokrywka 2023-05-09 20:01 3.0.0 Zajęcia 8 batch-size=6400,12800 batch_size=6400 epochs=4 learning-rate=0.0001 training-set=100000-lines neural-network trigram 267.06 300.97
283 [anonymized] 2023-05-09 19:59 3.0.0 trigram batch-size=2000 embed-size=200 embed_size=400 hidden_size=100 vocab-size=10000 neural-network trigram 415.19 458.31
280 [anonymized] 2023-05-09 19:59 3.0.0 trigram batch-size=2000 embed-size=200 embed_size=300 hidden_size=100 vocab-size=10000 neural-network trigram 418.78 455.83
273 [anonymized] 2023-05-09 19:59 3.0.0 trigram batch-size=2000 embed-size=200 embed_size=200 hidden_size=100 vocab-size=10000 neural-network trigram 415.57 449.20
207 Jakub Eichner 2023-05-09 19:48 3.0.0 Trigram Neural Network Solution batch_size=5000 context_size=2 embed_size=200 epochs=2 hidden_size=100 learning-rate=2.0e-3 top_k=200 vocab_size=20000 neural-network 323.47 368.39
137 Kamil Guttmann 2023-05-09 17:59 3.0.0 nn, trigram, predict from next two tokens batch-size=5000 embed-size=100 epochs=1 hidden_size=500 topk=150 vocab-size=20000 neural-network trigram 287.54 307.65
113 Kamil Guttmann 2023-05-09 17:59 3.0.0 nn, trigram, predict from next two tokens batch-size=5000 embed-size=100 epochs=1 hidden_size=1024 topk=150 vocab-size=20000 neural-network trigram 265.70 287.08
112 Kamil Guttmann 2023-05-09 17:59 3.0.0 nn, trigram, predict from next two tokens batch-size=5000 embed-size=100 epochs=1 hidden_size=2048 topk=150 vocab-size=20000 neural-network trigram 259.62 286.56
104 Kamil Guttmann 2023-05-09 17:59 3.0.0 nn, trigram, predict from next two tokens batch-size=5000 embed-size=100 embed_size=256 epochs=1 hidden_size=2048 topk=150 vocab-size=20000 neural-network trigram 250.85 275.80
563 Jakub Adamski 2023-05-09 13:51 3.0.0 Trigram regression 10006.89 10041.36
210 s444476 2023-05-08 22:26 3.0.0 trigram nn done HIDDENLAYER=100 341.24 373.09
196 s444476 2023-05-08 22:26 3.0.0 trigram nn done HIDDENLAYER=1000 319.69 355.85
307 s444452 2023-05-08 16:48 3.0.0 neural trigrams EMBDEDSIZE=200 463.17 486.35
306 s444452 2023-05-08 16:48 3.0.0 neural trigrams EMBDEDSIZE=150 461.59 485.85
305 s444452 2023-05-08 16:48 3.0.0 neural trigrams EMBDEDSIZE=100 462.03 485.76
63 s478846 2023-05-08 12:50 3.0.0 Neural trigram solution HIDDENLAYERSIZE=2000 neural-network trigram 231.52 248.42
60 s478846 2023-05-08 12:50 3.0.0 Neural trigram solution HIDDENLAYERSIZE=500 neural-network trigram 227.52 244.86
252 s444356 2023-05-07 21:22 3.0.0 neural network, trigram batch-size=1000 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=1.0e-3 top=50 vocab-size=20000 neural-network trigram 365.74 417.79
222 s444356 2023-05-07 21:22 3.0.0 neural network, trigram batch-size=1000 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=1.0e-3 top=100 vocab-size=20000 neural-network trigram 339.86 385.95
199 s444356 2023-05-07 21:22 3.0.0 neural network, trigram batch-size=1000 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=1.0e-3 top=200 vocab-size=20000 neural-network trigram 317.91 357.01
190 s444356 2023-05-07 21:22 3.0.0 neural network, trigram batch-size=5000 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=1.0e-3 top=300 vocab-size=20000 neural-network trigram 313.50 353.34
184 s444356 2023-05-07 21:22 3.0.0 neural network, trigram batch-size=1000 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=1.0e-3 top=300 vocab-size=20000 neural-network trigram 302.20 346.43
183 s444356 2023-05-07 21:22 3.0.0 neural network, trigram batch-size=2500 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=1.0e-3 top=300 vocab-size=20000 neural-network trigram 305.08 344.46
97 s444501 2023-05-07 20:59 3.0.0 trigram neural 444501 batch_size=2000 embed_size=300 epochs=1 hidden_size=150 learning-rate=1.0e-4 top=200 vocab_size=25000 neural-network trigram 242.33 272.46
77 s444501 2023-05-07 20:59 3.0.0 trigram neural 444501 batch_size=2000 embed_size=300 epochs=1 hidden_size=150 learning-rate=1.0e-4 top=400 vocab_size=25000 neural-network trigram 231.45 257.93
67 s444501 2023-05-07 20:59 3.0.0 trigram neural 444501 batch_size=2000 embed_size=300 epochs=1 hidden_size=150 learning-rate=1.0e-4 top=600 vocab_size=25000 neural-network trigram 226.60 252.52
191 s444356 2023-05-05 22:51 3.0.0 neural network, trigram batch-size=1000 context-size=2 embed-size=200 epochs=1 hidden-size=100 Learning-rate=2.0e-3 top=300 vocab-size=20000 neural-network trigram 311.38 353.70
246 [anonymized] 2023-05-05 17:20 3.0.0 Trigram nn 382.63 411.25
430 s478840 2023-04-29 11:16 3.0.0 s478840 741.81 882.51
268 Cezary 2023-04-28 13:19 3.0.0 Bigramn nn neural-network bigram 388.14 441.29
541 Wiktor Bombola 2023-04-28 11:38 3.0.0 simple nn model zad7 4621.88 4462.41
562 Jakub Adamski 2023-04-28 09:00 3.0.0 Bigram regression 10083.91 10022.76
340 Adam Wojdyła 2023-04-28 07:59 3.0.0 s444507 batch-size=5000 embed-size=150 vocab-size=15000 neural-network bigram 532.26 557.26
381 s444354 2023-04-28 07:57 3.0.0 s444354 bigrams neural-network bigram trigram 640.26 691.03
344 s478873 2023-04-28 07:35 3.0.0 s478873 batch-size=2000 embed-size=100 epochs=1 vocab-size=10000 neural-network bigram 497.68 561.58
447 s444415 2023-04-28 07:33 3.0.0 lab 7 nn bigram batch_size=4000 embed_size=250 epochs=1 learning-rate=1.0e-2 vocab_size=3000 bigram 826.73 947.55
561 Jakub Adamski 2023-04-28 07:33 3.0.0 Bigram regression 9956.13 10000.14
409 s478873 2023-04-28 07:02 3.0.0 s478873 neural-network bigram 691.01 800.61
395 [anonymized] 2023-04-27 23:53 3.0.0 s478841 - nn bigram neural-network bigram 655.65 731.00
434 s444018 2023-04-27 23:44 3.0.0 bigram neural network #2 850.31 892.10
433 s444018 2023-04-27 23:36 3.0.0 bigram neural network 850.69 890.82
394 [anonymized] 2023-04-27 23:33 3.0.0 First model again 655.65 731.00
400 [anonymized] 2023-04-27 23:24 3.0.0 No mods but stopped training 667.67 741.67
290 s478839 2023-04-27 22:56 3.0.0 s478839 neural-network bigram 410.34 471.21
375 s478855 2023-04-27 22:45 3.0.0 s478855 batch-size=6000 embed-size=100 vocab-size=10000 neural-network bigram 601.95 667.90
333 s478839 2023-04-27 22:25 3.0.0 s478839 463.68 532.15
501 [anonymized] 2023-04-27 22:13 3.0.0 Just cleaned text 1376.70 1404.97
361 s444018 2023-04-27 22:07 3.0.0 kenLM 583.71 606.41
504 [anonymized] 2023-04-27 22:02 3.0.0 Vocabulary from sentences only 1525.59 1562.43
358 s478839 2023-04-27 21:52 3.0.0 s478839 551.63 599.16
343 s478873 2023-04-27 21:46 3.0.0 s478873 neural-network bigram 497.68 561.58
128 s409771 2023-04-27 20:37 3.0.0 neural network neural-network bigram 263.66 294.94
347 s444386 2023-04-27 19:53 3.0.0 Neural network bigram model bigram 504.48 565.89
367 [anonymized] 2023-04-27 19:36 3.0.0 bigram, nn batch-size=2500 embed-size=100 epochs=1 vocab-size=10000 neural-network bigram 550.51 618.84
185 s444356 2023-04-27 19:35 3.0.0 neural network, bigram batch-size=5000 embed-size=1000 epochs=1 top=300 vocab-size=30000 neural-network bigram 302.93 347.59
325 [anonymized] 2023-04-27 19:00 3.0.0 s478831 bigram 466.22 515.08
166 s444517 2023-04-27 18:13 3.0.0 Neural-network bigram more words in output neural-network bigram 287.21 325.07
240 s443930 2023-04-27 18:00 3.0.0 Zajęcia 7 - Zadanie 1 epochs=1 learning-rate=1.0e-3 neural-network bigram adam 378.31 404.44
197 s444356 2023-04-27 17:12 3.0.0 neural network, bigram batch-size=5000 embed-size=100 epochs=1 vocab-size=20000 neural-network bigram 316.27 356.11
93 Jakub Eichner 2023-04-27 17:08 3.0.0 RegLog simple solution challenging-america 240.31 272.06
164 Kamil Guttmann 2023-04-27 16:48 3.0.0 nn, bigram, 20k vocab, 100 embed, 5k batch, top150 batch-size=5000 embedding-size=20000 epochs=1 topk=150 vocab-size=20000 neural-network bigram 285.73 323.67
393 [anonymized] 2023-04-27 13:50 3.0.0 first nn test results 655.65 731.00
354 s444501 2023-04-27 09:35 3.0.0 s444501 neural bigram epochs=1 learning-rate=1.0e-3 neural-network bigram 510.88 584.51
232 s444452 2023-04-27 07:14 3.0.0 Neural bigrams bigram 360.94 396.30
256 s444476 2023-04-26 19:01 3.0.0 Neural Network Bigrams bigram 379.65 422.76
380 s444354 2023-04-26 16:06 3.0.0 My solution 640.26 691.03
261 s478846 2023-04-26 16:04 3.0.0 bigram neuron solution neural-network bigram 393.45 432.05
241 s444517 2023-04-26 14:23 3.0.0 neural network with changed parameters, preprocessed neural-network bigram 358.65 405.63
337 s444417 2023-04-26 13:09 3.0.0 bigram neural neural-network bigram 485.49 540.81
454 Jakub Eichner 2023-04-26 06:19 3.0.0 kenlm solution challenging-america 930.37 1023.11
362 Adam Wojdyła 2023-04-26 06:16 3.0.0 kenlm trigram 585.16 607.40
366 s409771 2023-04-25 20:38 3.0.0 kenlm kenlm 587.13 617.71
455 s444517 2023-04-25 17:26 3.0.0 KenLM kenlm 930.37 1023.41
346 s444386 2023-04-25 15:48 3.0.0 neural bigram 504.48 565.89
658 s444386 2023-04-25 15:28 3.0.0 neural bigrams N/A N/A
288 s444452 2023-04-24 21:03 3.0.0 neural bigrams 1 413.49 468.11
106 s409771 2023-04-23 21:09 3.0.0 trigram, left and right context trigram 248.34 279.95
206 s409771 2023-04-23 19:41 3.0.0 trigram solution trigram 326.67 367.57
262 s444517 2023-04-23 12:11 3.0.0 neural network some params adjusted neural-network 383.65 433.05
405 s478855 2023-04-23 08:27 3.0.0 s478855 tetragram 747.31 770.87
429 s478855 2023-04-23 08:17 3.0.0 s478855 747.31 871.40
345 Adam Wojdyła 2023-04-23 08:00 3.0.0 trigram left context interpolation smoothing 521.69 565.13
220 Adam Wojdyła 2023-04-23 07:47 3.0.0 trigram l+r final 335.02 383.93
84 s478839 2023-04-23 07:33 3.0.0 s478839 235.74 265.93
441 Adam Wojdyła 2023-04-23 07:32 3.0.0 tetragram 830.38 923.00
313 Martyna Druminska 2023-04-23 07:28 3.0.0 Prześlij pliki do 'test-A' 448.72 499.11
538 Jakub Adamski 2023-04-23 07:26 3.0.0 Tetragram 3974.10 4044.83
549 Jakub Adamski 2023-04-23 07:12 3.0.0 Trigram 5250.87 5414.22
330 Martyna Druminska 2023-04-23 05:27 3.0.0 Prześlij pliki do 'dev-0' 475.49 526.24
657 Adam Wojdyła 2023-04-23 01:47 3.0.0 trigram 335.02 N/A
339 [anonymized] 2023-04-22 23:56 3.0.0 trigram 486.66 551.61
87 s478873 2023-04-22 22:58 3.0.0 s478873 tetragram 237.91 268.80
336 Martyna Druminska 2023-04-22 22:53 3.0.0 Prześlij pliki do 'dev-0' 482.58 537.87
334 Martyna Druminska 2023-04-22 22:44 3.0.0 Prześlij pliki do 'test-A' 479.94 532.32
656 Martyna Druminska 2023-04-22 22:33 3.0.0 Prześlij pliki do 'test-A' 731.99 N/A
53 [anonymized] 2023-04-22 22:15 3.0.0 s478831 216.45 239.65
398 Martyna Druminska 2023-04-22 21:49 3.0.0 dfdfv 731.99 741.10
384 Adam Wojdyła 2023-04-22 20:41 3.0.0 tetragram left only 612.09 692.91
175 Kamil Guttmann 2023-04-22 20:09 3.0.0 tetragram, left, tuned lambdas, top_150 tetragram 294.77 336.28
320 Kamil Guttmann 2023-04-22 19:33 3.0.0 tetragram left context tetragram 441.92 509.11
61 s444018 2023-04-22 19:27 3.0.0 tetragram solution + '-\n' 218.84 246.28
319 s444517 2023-04-22 17:44 3.0.0 trigram left context trigram 461.67 506.27
282 Adam Wojdyła 2023-04-22 15:21 3.0.0 trigram full context no smoothing 373.03 456.30
291 Adam Wojdyła 2023-04-22 14:24 3.0.0 trigram left context final - fix 405.40 471.89
655 Adam Wojdyła 2023-04-22 14:13 3.0.0 trigram left context final 405.40 N/A
519 Adam Wojdyła 2023-04-22 01:18 3.0.0 trigram left only trigram 1387.27 1746.24
149 s444356 2023-04-21 19:16 3.0.0 tetragram, left and right context tetragram challenging-america 281.24 312.55
179 s444356 2023-04-21 18:59 3.0.0 tetragram, left and right context tetragram challenging-america 296.65 340.24
515 Adam Wojdyła 2023-04-20 20:34 3.0.0 trigram 1575.09 1630.19
89 s478846 2023-04-20 07:51 3.0.0 trigram solution trigram 241.65 269.49
193 s444417 2023-04-19 12:25 3.0.0 tri-gram model n-grams trigram 319.81 354.40
44 ked 2023-04-15 00:55 3.0.0 449288 tetragram model 192.56 217.10
250 s443930 2023-04-13 19:42 3.0.0 vocab > 25k prob all left context only 385.42 416.99
272 Mikołaj Pokrywka 2023-04-13 19:35 3.0.0 4gram left context 415.43 448.41
329 s443930 2023-04-13 07:42 3.0.0 v>25k p<-25k left only 478.92 526.24
439 Mikołaj Pokrywka 2023-04-13 07:33 3.0.0 tetragram N/A 917.41
480 s443930 2023-04-12 20:53 3.0.0 v>10k p=50k left only 1092.38 1141.87
533 s443930 2023-04-12 20:33 3.0.0 4gram left only 2831.40 3030.81
440 Mikołaj Pokrywka 2023-04-12 18:58 3.0.0 4gram 884.31 920.36
554 s443930 2023-04-12 18:36 3.0.0 4gram left only 6160.51 6499.18
378 444498 2023-04-12 09:13 3.0.0 bigram solution 640.26 691.03
379 s444354 2023-04-11 12:16 3.0.0 added test set evaluation 640.26 691.03
475 Adam Wojdyła 2023-04-10 16:53 3.0.0 bigram final bigram 1003.67 1072.06
478 Adam Wojdyła 2023-04-10 16:47 3.0.0 bigram fixed v5 1007.59 1100.94
474 Adam Wojdyła 2023-04-10 16:41 3.0.0 bigram fixed v4 1003.67 1072.06
54 s444501 2023-04-10 15:36 3.0.0 s444501 tetragram 210.92 239.79
496 s444465 2023-04-09 16:13 3.0.0 Bigram model solution 1186.80 1218.88
411 s478840 2023-04-08 09:44 3.0.0 s478840 708.10 800.68
446 s478873 2023-04-05 16:13 3.0.0 s478873 bigram 5141.26 945.01
654 s478873 2023-04-05 16:07 3.0.0 s478873 5141.26 N/A
653 Jakub 2023-04-05 12:56 3.0.0 Fix wrong test data challenging-america 2071.99 N/A
652 Jakub 2023-04-05 10:58 3.0.0 New results challenging-america N/A N/A
577 Martyna Druminska 2023-04-05 10:56 3.0.0 zxdcdxc Infinity Infinity
296 [anonymized] 2023-04-05 10:49 3.0.0 dev0 bigram 421.55 476.65
392 s444452 2023-04-05 10:37 3.0.0 trigrams 618.07 722.18
304 s444415 2023-04-05 10:35 3.0.0 Bigram bigram 435.03 483.09
523 s478839 2023-04-05 10:17 3.0.0 s478839 N/A 1924.40
331 [anonymized] 2023-04-05 09:31 3.0.0 bigram smoothing data fix bigram 469.28 526.85
651 s478873 2023-04-05 09:08 3.0.0 s478873 5141.26 N/A
650 s478873 2023-04-05 08:57 3.0.0 s478873 5141.26 N/A
649 s444354 2023-04-05 08:42 3.0.0 transformer 640.26 N/A
527 s444018 2023-04-05 08:28 3.0.0 s444018 2014.97 2337.24
481 s443930 2023-04-05 08:25 3.0.0 Add test-A/out 1153.61 1144.88
524 Mikołaj Pokrywka 2023-04-05 08:23 3.0.0 second try 2265.56 2117.10
428 s478855 2023-04-05 08:23 3.0.0 s478855 bigram N/A 871.40
576 [anonymized] 2023-04-05 08:22 3.0.0 478841 - double bigram bigram Infinity Infinity
518 s478815 2023-04-05 08:21 3.0.0 bigram 1738.06 1712.76
397 Kamil Guttmann 2023-04-05 08:20 3.0.0 Bigrams v2 700.48 739.85
517 s478815 2023-04-04 20:57 3.0.0 zad2p challenging-america N/A 1701.45
525 Jakub Adamski 2023-04-04 20:44 3.0.0 Bigram solution 1937.68 2213.73
542 [anonymized] 2023-04-04 20:41 3.0.0 s444421 5060.94 5054.60
324 s444455 2023-04-04 20:41 3.0.0 450.31 514.32
575 Martyna Druminska 2023-04-04 20:32 3.0.0 cxvz Infinity Infinity
360 s478846 2023-04-04 20:31 3.0.0 bigram solution 5030.56 604.96
299 s444391 2023-04-04 20:12 3.0.0 add output files 417.80 477.62
332 s478846 2023-04-04 20:12 3.0.0 bigram solution 5030.56 529.43
520 Mikołaj Pokrywka 2023-04-04 20:01 3.0.0 first try bigram 1777.89 1760.43
348 s478846 2023-04-04 19:58 3.0.0 bigram solution 5030.56 566.27
574 Martyna Druminska 2023-04-04 19:50 3.0.0 cxvz Infinity Infinity
420 Kamil Guttmann 2023-04-04 19:41 3.0.0 Bigrams first try 813.62 825.56
277 s444452 2023-04-04 19:13 3.0.0 bigrams 408.85 453.98
648 Martyna Druminska 2023-04-04 18:34 3.0.0 cxvz N/A N/A
522 s444386 2023-04-04 18:23 3.0.0 s444386 1715.41 1903.69
385 s444517 2023-04-04 18:00 3.0.0 zad 4_2 676.39 699.79
526 s444386 2023-04-04 16:26 3.0.0 s444386 2054.05 2251.95
383 s444417 2023-04-04 16:01 3.0.0 bigram bert bigram bert N/A 692.24
302 s444476 2023-04-04 14:50 3.0.0 bigram solution bigram 423.77 479.71
449 s444501 2023-04-03 16:48 3.0.0 s444501 872.09 964.56
295 s444356 2023-03-31 19:19 3.0.0 bigram challenging-america 416.90 476.53
301 s444356 2023-03-31 19:03 3.0.0 bigram challenging-america 417.54 477.98
300 s444356 2023-03-31 18:19 3.0.0 bigram challenging-america 418.42 477.94
647 Martyna Druminska 2023-03-29 17:37 3.0.0 dfgedv 3498.81 N/A
646 s478840 2023-03-29 11:56 3.0.0 s478840 6492.60 N/A
645 s444455 2023-03-29 11:35 3.0.0 . 2791.21 N/A
644 s444455 2023-03-29 11:15 3.0.0 z1v4 2829.22 N/A
530 s443930 2023-03-29 11:12 3.0.0 Add .gitignore 2810.79 2717.38
529 s444452 2023-03-29 11:09 3.0.0 second solution 2491.87 2544.09
543 s444465 2023-03-29 10:57 3.0.0 444465 first solution 4880.78 5151.61
548 s444476 2023-03-29 10:49 3.0.0 Solution 5137.00 5392.48
497 444498 2023-03-29 10:32 3.0.0 solution word gap tylka 1181.17 1221.55
546 [anonymized] 2023-03-29 10:31 3.0.0 s444421 5032.83 5353.27
573 s444452 2023-03-29 10:30 3.0.0 trivial solution Infinity Infinity
643 Wiktor Bombola 2023-03-29 10:17 3.0.0 simple prediction 8659.81 N/A
572 [anonymized] 2023-03-29 10:05 3.0.0 test Infinity Infinity
642 s444455 2023-03-29 10:04 3.0.0 zad1vol3 2811.12 N/A
641 s478873 2023-03-29 10:01 3.0.0 s478873 5141.26 N/A
640 s444455 2023-03-29 10:00 3.0.0 zad1 vol2 2798.33 N/A
639 s444455 2023-03-29 09:57 3.0.0 zad1 2826.23 N/A
638 s444356 2023-03-29 09:55 3.0.0 done challenging-america 5219.75 N/A
555 s478839 2023-03-29 09:54 3.0.0 s478839 6851.67 7343.77
637 Martyna Druminska 2023-03-29 09:53 3.0.0 fgfdb N/A N/A
636 s444356 2023-03-29 09:51 3.0.0 done challenging-america N/A N/A
635 s444356 2023-03-29 09:48 3.0.0 done challenging-america N/A N/A
531 s444018 2023-03-29 09:44 3.0.0 s444018 2833.96 2960.56
634 s478815 2023-03-29 09:41 3.0.0 s478815 challenging-america 2421.96 N/A
633 s444354 2023-03-29 09:40 3.0.0 eeeee 5601.35 N/A
632 s478815 2023-03-29 09:39 3.0.0 s478815 N/A N/A
551 s444417 2023-03-29 09:38 3.0.0 if United 5377.48 5606.89
547 s444386 2023-03-29 09:37 3.0.0 zad 5137.00 5392.48
528 s409771 2023-03-29 09:36 3.0.0 first submission 2378.19 2355.35
631 Jakub 2023-03-29 09:35 3.0.0 Updated rand distribs 4275.28 N/A
540 [anonymized] 2023-03-29 09:33 3.0.0 simple solution 4199.53 4245.04
505 s444517 2023-03-29 09:33 3.0.0 zadanie 4_1 1553.08 1589.54
476 s444383 2023-03-29 09:31 3.0.0 init3 N/A 1083.26
630 Jakub 2023-03-29 09:31 3.0.0 Rand distribs 4343.27 N/A
559 s478839 2023-03-29 09:31 3.0.0 s478839 8580.14 8509.62
560 s444383 2023-03-29 09:29 3.0.0 init2 N/A 9100.12
629 Jakub Eichner 2023-03-29 09:29 3.0.0 Wspaniale szacowanie & model predykcyjny 2779.92 N/A
534 ked 2023-03-29 09:26 3.0.0 zad1 2924.54 3067.07
628 Jakub 2023-03-29 09:25 3.0.0 Overcome infinity 4112.00 N/A
627 Jakub 2023-03-29 09:22 3.0.0 My briliant solution Infinity N/A
427 s444383 2023-03-29 09:22 3.0.0 init N/A 870.81
545 [anonymized] 2023-03-29 09:22 3.0.0 random mod results 4893.98 5250.39
539 Jakub Adamski 2023-03-29 09:20 3.0.0 Proste rozwiązanie 4199.53 4245.04
558 s444501 2023-03-29 09:18 3.0.0 s444501 7976.73 7946.32
557 s444501 2023-03-29 09:14 3.0.0 s444501 7976.73 7946.32
556 s444501 2023-03-29 09:06 3.0.0 s444501 N/A 7946.32
544 Kamil Guttmann 2023-03-29 09:04 3.0.0 Simple rules 4889.69 5244.34
550 s444501 2023-03-29 09:00 3.0.0 s444501 N/A 5574.23
532 Mikołaj Pokrywka 2023-03-29 08:58 3.0.0 Test s444463 2853.34 2981.35
425 [anonymized] 2022-06-29 11:29 3.0.0 s434695 kenlm kenlm 833.52 852.54
351 [anonymized] 2022-06-28 11:41 3.0.0 s434695 neural-network bigram 506.72 570.80
266 [anonymized] 2022-06-26 18:43 3.0.0 434695 smoothing plusalpha plusaplha 391.43 436.81
298 [anonymized] 2022-06-26 17:59 3.0.0 434695 n-gram n-grams 419.16 477.08
626 [name not given] 2022-06-20 08:30 3.0.0 434742 out-best gpt2 N/A N/A
625 [name not given] 2022-06-20 08:30 3.0.0 434742 out-old2 gpt2 N/A N/A
624 [name not given] 2022-06-20 08:30 3.0.0 434742 out-old3 gpt2 N/A N/A
623 [name not given] 2022-06-20 08:30 3.0.0 434742 out-old gpt2 435.21 N/A
622 [name not given] 2022-06-20 08:24 3.0.0 434742 out-best gpt2 N/A N/A
621 [name not given] 2022-06-20 08:24 3.0.0 434742 out-old2 gpt2 N/A N/A
620 [name not given] 2022-06-20 08:24 3.0.0 434742 out-old gpt2 435.21 N/A
619 [name not given] 2022-06-19 23:29 3.0.0 434742 out-old2 gpt2 N/A N/A
618 [name not given] 2022-06-19 23:29 3.0.0 434742 out-old gpt2 435.21 N/A
418 [name not given] 2022-06-19 23:29 3.0.0 434742 gpt2 N/A 816.39
617 [name not given] 2022-06-19 23:26 3.0.0 434742 out-old2 gpt2 N/A N/A
616 [name not given] 2022-06-19 23:26 3.0.0 434742 out-old gpt2 435.21 N/A
417 [name not given] 2022-06-19 23:26 3.0.0 434742 gpt2 N/A 816.39
615 [name not given] 2022-06-19 22:47 3.0.0 434742 out-old gpt2 fine-tuned 435.21 N/A
416 [name not given] 2022-06-19 22:47 3.0.0 434742 gpt2 fine-tuned N/A 816.39
338 [name not given] 2022-06-19 20:19 3.0.0 434742 gpt2 435.21 541.78
614 [name not given] 2022-06-19 20:15 3.0.0 434742 gpt2 435.21 N/A
450 Anna Nowak 2022-06-19 11:34 3.0.0 gpt test gpt2 846.38 967.01
613 Anna Nowak 2022-06-10 21:21 3.0.0 gpt 434760 N/A N/A
612 Anna Nowak 2022-06-10 21:18 3.0.0 s434760 gpt gpt2 N/A N/A
611 Anna Nowak 2022-06-10 21:01 3.0.0 434650 GPT-2 final test gpt2 N/A N/A
610 Anna Nowak 2022-06-10 20:57 3.0.0 434650 GPT-2 gpt2 N/A N/A
571 Anna Nowak 2022-06-09 19:02 3.0.0 434760 gpt2 (last try with line breaks) gpt2 844.62 Infinity
570 Anna Nowak 2022-06-09 18:47 3.0.0 GPT-2 LF gpt2 844.62 Infinity
569 Anna Nowak 2022-06-09 18:40 3.0.0 434760 GPT-2 (LF) gpt2 844.62 Infinity
568 Anna Nowak 2022-06-09 17:35 3.0.0 434760 gpt-2 844.62 Infinity
292 [anonymized] 2022-06-06 09:29 3.0.0 434780 lstm ensemble 439.93 473.36
498 Anna Nowak 2022-05-30 19:10 3.0.0 434760 lstm lstm 1214.68 1289.99
357 zrostek 2022-05-29 22:19 3.0.0 470619 lstm ensemble 557.35 597.73
609 zrostek 2022-05-29 21:59 3.0.0 470619 lstm ensemble 557.35 N/A
181 Łukasz Jędyk 2022-05-29 10:25 3.0.0 434708 lstm ensemble 313.22 343.21
257 Łukasz Jędyk 2022-05-28 13:38 3.0.0 434708 gru 380.07 423.74
279 Piotr 2022-05-09 19:39 3.0.0 440058 neural network neural-network bigram 411.07 454.57
424 Piotr 2022-05-09 19:17 3.0.0 440058 kenlm kenlm 833.52 852.54
312 [name not given] 2022-05-08 22:21 3.0.0 434742 neural-network bigram 435.21 493.60
316 MaciejSobkowiak 2022-05-08 21:53 3.0.0 Bigram model neural-network bigram 445.15 502.94
443 [anonymized] 2022-05-08 21:50 3.0.0 s430705 neural-network bigram 882.94 923.80
352 s434788 2022-05-08 21:46 3.0.0 434788 nn bigram neural-network bigram 507.89 571.79
278 [anonymized] 2022-05-08 17:33 3.0.0 434732 neural-network bigram 411.07 454.57
442 [name not given] 2022-05-08 15:25 3.0.0 s470611 neural-network bigram 882.90 923.80
271 [anonymized] 2022-05-07 14:40 3.0.0 426206 neural-network bigram 399.61 447.01
286 [anonymized] 2022-05-07 12:56 3.0.0 s426206 neural-network bigram 406.60 463.01
274 Przemek 2022-05-07 12:20 3.0.0 434766 neural neural-network bigram 402.11 452.53
404 Łukasz Jędyk 2022-05-02 11:41 3.0.0 434708 neural-network trigram 733.77 761.47
438 Wojciech Jarmosz 2022-05-02 00:53 3.0.0 neural bigrams v2 neural-network bigram 803.71 912.78
608 Wojciech Jarmosz 2022-05-02 00:39 3.0.0 neural bigrams v2 neural-network bigram 803.71 N/A
490 Piotr Kopycki 2022-05-01 22:24 3.0.0 470629 neural-network trigram 960.15 961.09
494 Wojciech Jarmosz 2022-05-01 22:02 3.0.0 neural bigrams neural-network bigram 912.83 1024.80
486 Anna Nowak 2022-05-01 09:22 3.0.0 434760, bigram neural-network final neural-network bigram 398.85 453.65
564 Anna Nowak 2022-04-30 10:07 3.0.0 v3 neural-network bigram 12469.19 16664.84
535 Anna Nowak 2022-04-29 11:03 3.0.0 434760 - nn bigrams neural-network bigram 2632.19 3239.03
537 Anna Nowak 2022-04-29 07:37 3.0.0 434760 neural-network bigram 2772.19 3382.41
491 [anonymized] 2022-04-25 21:19 3.0.0 426206 kenlm 995.83 997.07
488 [anonymized] 2022-04-25 15:11 3.0.0 434732 kenlm 801.28 825.75
487 [name not given] 2022-04-25 13:50 3.0.0 s470611 kenlm 795.46 819.20
489 [anonymized] 2022-04-24 23:18 3.0.0 440054 kenlm 884.90 906.41
492 [anonymized] 2022-04-24 21:58 3.0.0 s434804 v3 kenlm 1001.84 1003.73
607 [anonymized] 2022-04-24 21:10 3.0.0 s434804 v2 N/A N/A
493 Anna Nowak 2022-04-24 18:33 3.0.0 434760 v2 kenlm 1015.60 1017.27
485 Anna Nowak 2022-04-24 15:52 3.0.0 434760 NaN NaN
415 MaciejSobkowiak 2022-04-23 23:47 3.0.0 s434784 kenlm 793.79 816.16
414 [name not given] 2022-04-23 22:31 3.0.0 434742 kenlm 793.79 816.16
328 [name not given] 2022-04-23 22:17 3.0.0 434742 kenlm 485.93 524.59
435 Wojciech Jarmosz 2022-04-23 21:29 3.0.0 s434704 kenlm 873.87 896.43
369 Jakub Pietrzak 2022-04-23 21:15 3.0.0 470628 kenlm 611.46 646.24
466 [anonymized] 2022-04-23 19:38 3.0.0 434780 kenlm 910.33 926.88
413 Jakub Pogodziński 2022-04-23 17:20 3.0.0 s437622 kenlm kenlm 792.81 816.08
238 [anonymized] 2022-04-23 15:45 3.0.0 434780 goodturing 369.12 402.22
423 Przemek 2022-04-23 15:32 3.0.0 kenlm 434766 kenlm 833.52 852.54
422 Łukasz Jędyk 2022-04-22 16:25 3.0.0 434708 kenlm 812.12 833.33
467 Łukasz Jędyk 2022-04-21 20:30 3.0.0 434708 kenlm 954.74 963.04
464 [name not given] 2022-04-12 19:02 3.0.0 s434742 n-grams plusaplha 485.93 524.59
461 MaciejSobkowiak 2022-04-12 18:18 3.0.0 s434784 wygładzenie plusaplha 400.10 441.86
484 Anna Nowak 2022-04-12 09:55 3.0.0 434760 v3 1156.64 1178.05
472 Anna Nowak 2022-04-12 08:43 3.0.0 434760 v2 interpolation 1066.28 1065.77
473 Anna Nowak 2022-04-12 08:33 3.0.0 434760 1067.53 1068.31
463 [anonymized] 2022-04-11 18:28 3.0.0 test n-grams 27.76 519.82
465 [anonymized] 2022-04-11 09:17 3.0.0 426206 n-grams goodturing 588.51 642.02
460 Jakub Pogodziński 2022-04-11 09:17 3.0.0 437622 alpha n-grams goodturing 381.39 427.45
462 s434788 2022-04-11 08:15 3.0.0 434788 plusalpha v_2 plusaplha 432.82 473.60
459 [name not given] 2022-04-10 23:14 3.0.0 434742 n-grams 341.57 379.56
458 MaciejSobkowiak 2022-04-10 22:59 3.0.0 s434784 n-grams 341.53 379.52
457 s434788 2022-04-10 22:44 3.0.0 434788 plusalpha plusaplha NaN NaN
426 zrostek 2022-04-10 21:13 3.0.0 470619 backoff 794.13 859.56
390 Piotr Kopycki 2022-04-10 21:01 3.0.0 470629 plusaplha 644.09 714.72
387 Piotr 2022-04-10 20:55 3.0.0 440058 plusaplha 694.55 710.19
287 Piotr 2022-04-10 19:51 3.0.0 440058 n-grams 426.60 467.30
335 [anonymized] 2022-04-10 19:34 3.0.0 s434804 n-grams plusaplha 488.34 533.82
368 [anonymized] 2022-04-10 19:19 3.0.0 s430705 plusalpha n-grams goodturing 557.09 628.51
436 [anonymized] 2022-04-10 19:13 3.0.0 434732 plusaplha 775.76 905.71
182 Przemek 2022-04-10 18:49 3.0.0 434766 plusalpha plusaplha 309.95 343.70
265 [name not given] 2022-04-10 17:19 3.0.0 s470611 n-grams backoff 391.43 436.81
421 Wojciech Jarmosz 2022-04-10 12:57 3.0.0 s434704 n-grams plusaplha goodturing 759.20 828.47
248 Jakub Pietrzak 2022-04-09 20:59 3.0.0 470628 n-grams plusaplha 364.70 412.64
218 Łukasz Jędyk 2022-04-09 17:02 3.0.0 434708 plusalpha n-grams plusaplha 345.11 383.72
255 Jakub Pietrzak 2022-04-09 11:38 3.0.0 470628 n-grams 373.67 422.47
349 [anonymized] 2022-04-05 17:11 3.0.0 440054 n-grams 510.57 568.10
386 [anonymized] 2022-04-04 16:53 3.0.0 426206 n-grams 579.65 702.13
162 [anonymized] 2022-04-04 16:44 3.0.0 434749: n-gramowy model oparty na 3-gram (fill in the middle) + backoff to 2-gram + backoff to 2-gram reversed + alpha smoothing n-grams backoff 287.28 322.06
215 [anonymized] 2022-04-03 21:45 3.0.0 434780 n-grams 341.53 379.52
448 Wojciech Jarmosz 2022-04-03 19:44 3.0.0 s434704 n-grams 864.09 962.91
289 Przemek 2022-04-03 18:44 3.0.0 434766 n-grams 425.15 468.41
437 [anonymized] 2022-04-03 18:16 3.0.0 434732 n-grams 776.79 907.06
264 Jakub Pogodziński 2022-04-03 18:14 3.0.0 437622 n-grams 387.11 434.55
297 [name not given] 2022-04-03 18:11 3.0.0 s470611 n-grams 419.16 477.08
431 [anonymized] 2022-04-03 18:00 3.0.0 s430705 n-grams 770.18 887.49
263 [anonymized] 2022-04-03 17:48 3.0.0 init n-grams 387.11 434.55
432 [anonymized] 2022-04-03 17:22 3.0.0 s434804 n-grams 776.13 887.65
377 Łukasz Jędyk 2022-04-03 12:06 3.0.0 434708 n-grams 583.60 688.65
388 zrostek 2022-04-01 13:45 3.0.0 470619 n-grams 649.87 710.90
3 kubapok 2021-12-15 21:44 3.0.0 challam-roberta-without-date checkpoint 1325000 49.82 56.64
2 kubapok 2021-12-15 21:29 3.0.0 challam-roberta-with-date day_of_year checkpoint 1325000 48.72 53.76
1 kubapok 2021-12-11 17:25 3.0.0 roberta_large_no_ft 45.33 52.58
5 kubapok 2021-12-11 16:17 3.0.0 challam-roberta-with-date day_of_year 64.84 73.63
6 kubapok 2021-12-11 15:57 3.0.0 challam-roberta-with-date weekday 64.90 73.91
7 kubapok 2021-12-11 14:02 3.0.0 challam-roberta-without-date 67.36 77.31
4 kubapok 2021-12-11 13:59 3.0.0 roberta base noft 62.75 72.10
456 kubapok 2021-12-10 15:51 3.0.0 same prob 1024.00 1024.00
606 kubapok 2021-07-11 18:35 2.0.1 transformer word (kaczla) word-level transformer 259.27 250.45
605 kubapok 2021-07-11 18:32 2.0.1 bilstm word (kaczla) word-level bilstm 184.39 177.01
604 kubapok 2021-07-11 18:31 2.0.1 transformer bpe (kaczla) transformer bpe 194.93 185.40
603 kubapok 2021-07-11 18:28 2.0.1 bilstm bpe (kaczla) bilstm bpe 185.41 179.20
602 kubapok 2021-07-11 18:08 2.0.1 english roberta base no finetune bilstm bpe 67.27 65.19
601 kubapok 2021-07-11 17:35 2.0.1 english roberta large finetune roberta 46.93 45.74
600 kubapok 2021-07-11 17:34 2.0.1 english roberta base finetune roberta 53.86 53.26
599 kubapok 2021-07-11 17:33 2.0.1 english roberta large no finetune roberta 51.44 49.85
598 kubapok 2021-07-11 17:30 2.0.1 same probability roberta 1024.00 1024.00
597 kaczla 2021-06-07 15:59 1.0.1 Add simple BPE Transformer lvl=bpe model=transformer transformer bpe N/A N/A
596 kaczla 2021-06-07 15:59 1.0.1 Add simple BPE BiLSTM lvl=bpe model=bilstm bilstm bpe N/A N/A
595 kaczla 2021-06-07 15:58 1.0.1 Add simple word Transformer lvl=word model=transformer word-level transformer N/A N/A
594 kaczla 2021-06-07 15:57 1.0.1 Add simple word BiLSTM lvl=word model=bilstm word-level bilstm N/A N/A
593 kaczla 2021-06-07 15:35 1.0.0 Add BiLSTM/Transformer (word and BPE) models lvl=word model=transformer word-level bilstm transformer bpe N/A N/A
592 kaczla 2021-06-07 15:35 1.0.0 Add BiLSTM/Transformer (word and BPE) models lvl=bpe model=transformer word-level bilstm transformer bpe N/A N/A
591 kaczla 2021-06-07 15:35 1.0.0 Add BiLSTM/Transformer (word and BPE) models lvl=word model=bilstm word-level bilstm transformer bpe N/A N/A
590 kaczla 2021-06-07 15:35 1.0.0 Add BiLSTM/Transformer (word and BPE) models lvl=bpe model=bilstm word-level bilstm transformer bpe N/A N/A
589 kaczla 2021-06-06 18:51 1.0.0 Simple models lvl=word model=transformer bilstm transformer N/A N/A
588 kaczla 2021-06-06 18:51 1.0.0 Simple models lvl=bpe model=transformer bilstm transformer N/A N/A
587 kaczla 2021-06-06 18:51 1.0.0 Simple models lvl=word model=bilstm bilstm transformer N/A N/A
586 kaczla 2021-06-06 18:51 1.0.0 Simple models lvl=bpe model=bilstm bilstm transformer N/A N/A

Submission graph

Graphs by parameters

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