RefalMachine
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Browse files- config.json +1 -1
- llmtf_eval/daru_treewayabstractive.jsonl +0 -0
- llmtf_eval/daru_treewayabstractive_params.jsonl +1 -1
- llmtf_eval/daru_treewayabstractive_total.jsonl +3 -3
- llmtf_eval/daru_treewayextractive.jsonl +2 -2
- llmtf_eval/daru_treewayextractive_params.jsonl +1 -1
- llmtf_eval/daru_treewayextractive_total.jsonl +2 -2
- llmtf_eval/darumeru_MultiQ.jsonl +0 -0
- llmtf_eval/darumeru_MultiQ_params.jsonl +1 -1
- llmtf_eval/darumeru_MultiQ_total.jsonl +3 -3
- llmtf_eval/darumeru_PARus.jsonl +412 -412
- llmtf_eval/darumeru_PARus_params.jsonl +1 -1
- llmtf_eval/darumeru_PARus_total.jsonl +2 -2
- llmtf_eval/darumeru_RCB.jsonl +702 -702
- llmtf_eval/darumeru_RCB_params.jsonl +1 -1
- llmtf_eval/darumeru_RCB_total.jsonl +2 -2
- llmtf_eval/darumeru_RWSD.jsonl +456 -456
- llmtf_eval/darumeru_RWSD_params.jsonl +1 -1
- llmtf_eval/darumeru_RWSD_total.jsonl +2 -2
- llmtf_eval/darumeru_cp_para_ru.jsonl +79 -90
- llmtf_eval/darumeru_cp_para_ru_params.jsonl +1 -1
- llmtf_eval/darumeru_cp_para_ru_total.jsonl +2 -2
- llmtf_eval/darumeru_ruOpenBookQA.jsonl +0 -0
- llmtf_eval/darumeru_ruOpenBookQA_params.jsonl +1 -1
- llmtf_eval/darumeru_ruOpenBookQA_total.jsonl +3 -3
- llmtf_eval/darumeru_ruWorldTree.jsonl +426 -426
- llmtf_eval/darumeru_ruWorldTree_params.jsonl +1 -1
- llmtf_eval/darumeru_ruWorldTree_total.jsonl +2 -2
- llmtf_eval/evaluation_log.txt +231 -231
- llmtf_eval/evaluation_results.txt +1 -1
- llmtf_eval/nlpcoreteam_enMMLU.jsonl +2 -2
- llmtf_eval/nlpcoreteam_enMMLU_params.jsonl +1 -1
- llmtf_eval/nlpcoreteam_enMMLU_total.jsonl +2 -2
- llmtf_eval/nlpcoreteam_ruMMLU.jsonl +2 -2
- llmtf_eval/nlpcoreteam_ruMMLU_params.jsonl +1 -1
- llmtf_eval/nlpcoreteam_ruMMLU_total.jsonl +2 -2
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
config.json
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{
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"architectures": [
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llmtf_eval/daru_treewayabstractive.jsonl
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llmtf_eval/daru_treewayabstractive_params.jsonl
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llmtf_eval/daru_treewayabstractive_total.jsonl
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llmtf_eval/daru_treewayextractive.jsonl
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llmtf_eval/daru_treewayextractive_params.jsonl
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llmtf_eval/daru_treewayextractive_total.jsonl
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llmtf_eval/darumeru_MultiQ.jsonl
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llmtf_eval/darumeru_MultiQ_params.jsonl
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"generated_cumulative_logprob": "TODO: calculate for hf model",
|
7915 |
+
"generated_token": " Нет"
|
7916 |
}
|
7917 |
}
|
7918 |
{
|
|
|
7920 |
"acc": false
|
7921 |
},
|
7922 |
"predict": {
|
7923 |
+
"Да": 0.9826809763908386,
|
7924 |
+
"Нет": 0.015883559361100197
|
7925 |
},
|
7926 |
"sample": {
|
7927 |
"messages": [
|
llmtf_eval/darumeru_RWSD_params.jsonl
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"custom_generation_config": null,
|
3 |
"model_params": {
|
4 |
-
"model_name_or_path": "/
|
5 |
"generation_config": {
|
6 |
"bos_token_id": 147075,
|
7 |
"do_sample": true,
|
|
|
1 |
{
|
2 |
"custom_generation_config": null,
|
3 |
"model_params": {
|
4 |
+
"model_name_or_path": "/workdir/data/models/qwen/ruadapt_qwen2.5_7B_ext_u48_part1-2_lr5e4_peft_mlp_32_32_bs128_as1.5_pv8_ft0_as1.35_kto1_as0.75_simpo2_as1.0",
|
5 |
"generation_config": {
|
6 |
"bos_token_id": 147075,
|
7 |
"do_sample": true,
|
llmtf_eval/darumeru_RWSD_total.jsonl
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"task_name": "darumeru/RWSD",
|
3 |
"results": {
|
4 |
-
"acc": 0.
|
5 |
},
|
6 |
-
"leaderboard_result": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"task_name": "darumeru/RWSD",
|
3 |
"results": {
|
4 |
+
"acc": 0.5441176470588235
|
5 |
},
|
6 |
+
"leaderboard_result": 0.5441176470588235
|
7 |
}
|
llmtf_eval/darumeru_cp_para_ru.jsonl
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"metric": {
|
3 |
-
"symbol_per_token": 2.
|
4 |
-
"len":
|
5 |
"lcs": 1.0
|
6 |
},
|
7 |
"predict": {
|
@@ -44,6 +44,7 @@
|
|
44 |
13999,
|
45 |
12,
|
46 |
117288,
|
|
|
47 |
13,
|
48 |
5524,
|
49 |
10124,
|
@@ -171,7 +172,7 @@
|
|
171 |
25262,
|
172 |
13
|
173 |
],
|
174 |
-
"text": " Сб. «Киноварь» Альманах «Литературного особняка» No 1. М.,1922 «Коралловый корабль»
|
175 |
},
|
176 |
"sample": {
|
177 |
"messages": [
|
@@ -199,8 +200,8 @@
|
|
199 |
}
|
200 |
{
|
201 |
"metric": {
|
202 |
-
"symbol_per_token": 4.
|
203 |
-
"len": 0
|
204 |
"lcs": 1.0
|
205 |
},
|
206 |
"predict": {
|
@@ -255,9 +256,7 @@
|
|
255 |
102730,
|
256 |
125258,
|
257 |
100994,
|
258 |
-
|
259 |
-
7094,
|
260 |
-
104564,
|
261 |
2001,
|
262 |
108849,
|
263 |
100303,
|
@@ -394,7 +393,7 @@
|
|
394 |
102735,
|
395 |
13
|
396 |
],
|
397 |
-
"text": " Замок терял оборонительные функции и постепенно становился роскошным жильём дворцового типа для лица с высоким статусом. Процесс завершился в XVII веке, когда замок стал резиденцией государственного чиновника и просвещённого вельможи нового типа, каким был сын мэра города
|
398 |
},
|
399 |
"sample": {
|
400 |
"messages": [
|
@@ -465,7 +464,7 @@
|
|
465 |
101302,
|
466 |
129315,
|
467 |
103633,
|
468 |
-
|
469 |
106110,
|
470 |
5524,
|
471 |
18335,
|
@@ -655,7 +654,7 @@
|
|
655 |
15,
|
656 |
13
|
657 |
],
|
658 |
-
"text": " Холлинджер рассчитал PER таким образом, что средний показатель по лиге в каждом сезоне составляет всегда 15. 00Всего 24 раза в истории НБА игрок
|
659 |
},
|
660 |
"sample": {
|
661 |
"messages": [
|
@@ -1917,8 +1916,8 @@
|
|
1917 |
}
|
1918 |
{
|
1919 |
"metric": {
|
1920 |
-
"symbol_per_token": 3.
|
1921 |
-
"len": 0
|
1922 |
"lcs": 1.0
|
1923 |
},
|
1924 |
"predict": {
|
@@ -1998,8 +1997,7 @@
|
|
1998 |
13337,
|
1999 |
44155,
|
2000 |
13289,
|
2001 |
-
|
2002 |
-
31443,
|
2003 |
100752,
|
2004 |
126316,
|
2005 |
57297,
|
@@ -2111,7 +2109,7 @@
|
|
2111 |
104450,
|
2112 |
13
|
2113 |
],
|
2114 |
-
"text": " Гран-при Германии 1965 года — седьмой
|
2115 |
},
|
2116 |
"sample": {
|
2117 |
"messages": [
|
@@ -2914,8 +2912,8 @@
|
|
2914 |
}
|
2915 |
{
|
2916 |
"metric": {
|
2917 |
-
"symbol_per_token": 4.
|
2918 |
-
"len":
|
2919 |
"lcs": 1.0
|
2920 |
},
|
2921 |
"predict": {
|
@@ -2998,8 +2996,7 @@
|
|
2998 |
5927,
|
2999 |
110734,
|
3000 |
13,
|
3001 |
-
|
3002 |
-
12507,
|
3003 |
100702,
|
3004 |
143914,
|
3005 |
131011,
|
@@ -3089,7 +3086,7 @@
|
|
3089 |
126333,
|
3090 |
13
|
3091 |
],
|
3092 |
-
"text": " В июле 1968 года в результате бескровного переворота к власти в Ираке пришла партия «Баас». Президенту республики по Конституции 1968 года давались также широкие полномочия. Вся власть сосредотачивалась в руках только одного человека — Ахмада аль-Бакра. В июле 1979 года аль-Бакр ушёл в отставку.
|
3093 |
},
|
3094 |
"sample": {
|
3095 |
"messages": [
|
@@ -4185,8 +4182,8 @@
|
|
4185 |
}
|
4186 |
{
|
4187 |
"metric": {
|
4188 |
-
"symbol_per_token": 4.
|
4189 |
-
"len":
|
4190 |
"lcs": 1.0
|
4191 |
},
|
4192 |
"predict": {
|
@@ -4255,7 +4252,7 @@
|
|
4255 |
21,
|
4256 |
100281,
|
4257 |
11,
|
4258 |
-
|
4259 |
100706,
|
4260 |
12769,
|
4261 |
114288,
|
@@ -4272,7 +4269,7 @@
|
|
4272 |
11,
|
4273 |
100376,
|
4274 |
102508,
|
4275 |
-
|
4276 |
100876,
|
4277 |
12507,
|
4278 |
103297,
|
@@ -4336,9 +4333,7 @@
|
|
4336 |
94962,
|
4337 |
44946,
|
4338 |
137793,
|
4339 |
-
|
4340 |
-
66,
|
4341 |
-
103824,
|
4342 |
105290,
|
4343 |
100853,
|
4344 |
5927,
|
@@ -4370,9 +4365,8 @@
|
|
4370 |
8341,
|
4371 |
101266,
|
4372 |
103513,
|
4373 |
-
11,
|
4374 |
101925,
|
4375 |
-
|
4376 |
109464,
|
4377 |
115403,
|
4378 |
39900,
|
@@ -4387,7 +4381,6 @@
|
|
4387 |
15,
|
4388 |
4,
|
4389 |
104990,
|
4390 |
-
11,
|
4391 |
37405,
|
4392 |
116382,
|
4393 |
100447,
|
@@ -4398,7 +4391,7 @@
|
|
4398 |
102988,
|
4399 |
13
|
4400 |
],
|
4401 |
-
"text": " Точная медицина — инновационный подход в системе здравоохранения, при котором профилактика и лечение заболеваний подбирается главным образом по генетической информации. Он появился благодаря технологиям больших данных и снижению стоимости секвенирования ДНК. Первой страной, запустившей проект точной медицины, стали США в 2016
|
4402 |
},
|
4403 |
"sample": {
|
4404 |
"messages": [
|
@@ -4548,7 +4541,7 @@
|
|
4548 |
20,
|
4549 |
11562,
|
4550 |
13,
|
4551 |
-
|
4552 |
128349,
|
4553 |
110576,
|
4554 |
2001,
|
@@ -4573,7 +4566,7 @@
|
|
4573 |
114466,
|
4574 |
13
|
4575 |
],
|
4576 |
-
"text": " Рябинки Рябинки — деревня в Можайском районе Московской области, в составе сельского поселения Замошинское. Численность постоянного населения по Всероссийской переписи 2010 года — 5 человек. До 2006 года Рябинки входили в состав Замошинского сельского округа. Деревня расположена на западе района, примерно в 11 км к юго-востоку от Уваровки, на суходоле, на автодороге \"46К-1130\" Уваровка — Можайск, высота над уровнем моря 235 м.
|
4577 |
},
|
4578 |
"sample": {
|
4579 |
"messages": [
|
@@ -5561,8 +5554,8 @@
|
|
5561 |
}
|
5562 |
{
|
5563 |
"metric": {
|
5564 |
-
"symbol_per_token": 5.
|
5565 |
-
"len": 0
|
5566 |
"lcs": 1.0
|
5567 |
},
|
5568 |
"predict": {
|
@@ -5574,8 +5567,7 @@
|
|
5574 |
141432,
|
5575 |
68088,
|
5576 |
62731,
|
5577 |
-
|
5578 |
-
674,
|
5579 |
117801,
|
5580 |
48150,
|
5581 |
13,
|
@@ -5704,7 +5696,7 @@
|
|
5704 |
104501,
|
5705 |
13
|
5706 |
],
|
5707 |
-
"text": " По форме морское страхование может
|
5708 |
},
|
5709 |
"sample": {
|
5710 |
"messages": [
|
@@ -6843,7 +6835,7 @@
|
|
6843 |
102326,
|
6844 |
5927,
|
6845 |
99491,
|
6846 |
-
|
6847 |
127040,
|
6848 |
100625,
|
6849 |
111394,
|
@@ -6928,7 +6920,7 @@
|
|
6928 |
109507,
|
6929 |
13
|
6930 |
],
|
6931 |
-
"text": " Фильм стал первым опытом сотрудничества Китона с Metro-Goldwyn-Mayer и имел успех, однако уже через год компания лишила Китона творческого контроля над его фильмами, нанеся тем самым серьёзный и долговременный ущерб его карьере. Китон позднее назвал переход в MGM
|
6932 |
},
|
6933 |
"sample": {
|
6934 |
"messages": [
|
@@ -9576,7 +9568,7 @@
|
|
9576 |
"info": {
|
9577 |
"prompt_len": 130,
|
9578 |
"generated_len": [
|
9579 |
-
|
9580 |
],
|
9581 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
9582 |
}
|
@@ -9713,7 +9705,7 @@
|
|
9713 |
"info": {
|
9714 |
"prompt_len": 124,
|
9715 |
"generated_len": [
|
9716 |
-
|
9717 |
],
|
9718 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
9719 |
}
|
@@ -9842,7 +9834,7 @@
|
|
9842 |
"info": {
|
9843 |
"prompt_len": 116,
|
9844 |
"generated_len": [
|
9845 |
-
|
9846 |
],
|
9847 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
9848 |
}
|
@@ -9961,7 +9953,7 @@
|
|
9961 |
"info": {
|
9962 |
"prompt_len": 106,
|
9963 |
"generated_len": [
|
9964 |
-
|
9965 |
],
|
9966 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
9967 |
}
|
@@ -10211,14 +10203,14 @@
|
|
10211 |
"info": {
|
10212 |
"prompt_len": 237,
|
10213 |
"generated_len": [
|
10214 |
-
|
10215 |
],
|
10216 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10217 |
}
|
10218 |
}
|
10219 |
{
|
10220 |
"metric": {
|
10221 |
-
"symbol_per_token": 3.
|
10222 |
"len": 0.9916666666666667,
|
10223 |
"lcs": 1.0
|
10224 |
},
|
@@ -10290,7 +10282,7 @@
|
|
10290 |
102894,
|
10291 |
13,
|
10292 |
118889,
|
10293 |
-
|
10294 |
11,
|
10295 |
108941,
|
10296 |
5524,
|
@@ -10345,7 +10337,7 @@
|
|
10345 |
104491,
|
10346 |
13
|
10347 |
],
|
10348 |
-
"text": " Образовано в 1957 году путем объединения сел \"Великие Хутора\", \"Малые Хутора\" и \"Кайдачиха\". На карте Винницы, датируемой 1916-м годом, находится рядом с Малыми хуторами в составе Винницы под названием Большие хутора.
|
10349 |
},
|
10350 |
"sample": {
|
10351 |
"messages": [
|
@@ -10366,15 +10358,15 @@
|
|
10366 |
"info": {
|
10367 |
"prompt_len": 141,
|
10368 |
"generated_len": [
|
10369 |
-
|
10370 |
],
|
10371 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10372 |
}
|
10373 |
}
|
10374 |
{
|
10375 |
"metric": {
|
10376 |
-
"symbol_per_token": 3.
|
10377 |
-
"len": 0
|
10378 |
"lcs": 1.0
|
10379 |
},
|
10380 |
"predict": {
|
@@ -10468,8 +10460,7 @@
|
|
10468 |
101300,
|
10469 |
100339,
|
10470 |
136892,
|
10471 |
-
|
10472 |
-
100490,
|
10473 |
101632,
|
10474 |
100806,
|
10475 |
103659,
|
@@ -10633,7 +10624,7 @@
|
|
10633 |
"info": {
|
10634 |
"prompt_len": 253,
|
10635 |
"generated_len": [
|
10636 |
-
|
10637 |
],
|
10638 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10639 |
}
|
@@ -10813,7 +10804,7 @@
|
|
10813 |
"info": {
|
10814 |
"prompt_len": 167,
|
10815 |
"generated_len": [
|
10816 |
-
|
10817 |
],
|
10818 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10819 |
}
|
@@ -13445,8 +13436,8 @@
|
|
13445 |
}
|
13446 |
{
|
13447 |
"metric": {
|
13448 |
-
"symbol_per_token": 3.
|
13449 |
-
"len":
|
13450 |
"lcs": 1.0
|
13451 |
},
|
13452 |
"predict": {
|
@@ -13519,8 +13510,10 @@
|
|
13519 |
101534,
|
13520 |
101226,
|
13521 |
13373,
|
13522 |
-
|
13523 |
-
|
|
|
|
|
13524 |
13,
|
13525 |
23784,
|
13526 |
12769,
|
@@ -13570,7 +13563,7 @@
|
|
13570 |
102606,
|
13571 |
11,
|
13572 |
8379,
|
13573 |
-
|
13574 |
136712,
|
13575 |
100351,
|
13576 |
15088,
|
@@ -13589,7 +13582,7 @@
|
|
13589 |
109966,
|
13590 |
13
|
13591 |
],
|
13592 |
-
"text": " Русалка «Руса́лка: Письмо́ для краса́вицъ» — галицко-русская газета, которая издавалась для женщин в 1868—1870 во Львове. Выходила дважды в месяц. Издатель и редактор Северин Шехович. Печаталась на
|
13593 |
},
|
13594 |
"sample": {
|
13595 |
"messages": [
|
@@ -13617,8 +13610,8 @@
|
|
13617 |
}
|
13618 |
{
|
13619 |
"metric": {
|
13620 |
-
"symbol_per_token":
|
13621 |
-
"len": 0
|
13622 |
"lcs": 1.0
|
13623 |
},
|
13624 |
"predict": {
|
@@ -13792,8 +13785,7 @@
|
|
13792 |
102026,
|
13793 |
102810,
|
13794 |
100334,
|
13795 |
-
|
13796 |
-
16742,
|
13797 |
13,
|
13798 |
105244,
|
13799 |
104531,
|
@@ -13819,7 +13811,7 @@
|
|
13819 |
94565,
|
13820 |
75608
|
13821 |
],
|
13822 |
-
"text": " В 1980-х годах популярность Национальной баскетбольной ассоциации резко возросла, и стало ясно, что 12 888 мест в «Memorial Coliseum», в котором в то время играл свои домашние игры «Портленд Трэйл Блэйзерс», больше не хватает. Начиная с 5 апреля 1977 года «Трэйл Блэйзерс» распродавали полностью все билеты на свои домашние игры. В 1988 году команду купил Пол Аллен, после чего команда выходила
|
13823 |
},
|
13824 |
"sample": {
|
13825 |
"messages": [
|
@@ -15684,7 +15676,7 @@
|
|
15684 |
97065,
|
15685 |
12,
|
15686 |
100446,
|
15687 |
-
|
15688 |
12769,
|
15689 |
132254,
|
15690 |
100434,
|
@@ -15743,7 +15735,7 @@
|
|
15743 |
121286,
|
15744 |
13
|
15745 |
],
|
15746 |
-
"text": " Эрхарт часто упоминается в работах музыкантов, таких как Джони Митчелл, Патти Смит, Хитер Нова. Амелия Эрхарт явилась одним из главных персонажей фантастического фильма «Ночь в музее 2», где её роль исполнила актриса Эми Адамс. Амелия Эрхарт — центральный персонаж 1 серии 2 сезона «Тридцать Седьмые» сериала «». В
|
15747 |
},
|
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"sample": {
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|
@@ -16898,7 +16890,7 @@
|
|
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81856,
|
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11,
|
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98851,
|
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|
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|
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|
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117461,
|
@@ -16914,7 +16906,7 @@
|
|
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30,
|
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9135
|
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],
|
16917 |
-
"text": " В мистическом триллере Яна Нэза «Властелин старости», первая часть книги носит название «Чёрный дембель» и также посвящена одноименному персонажу. В книге Чёрный дембель — это лесной идол, обладающий телепортирующим свойством и отправляющий домой
|
16918 |
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|
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|
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|
@@ -16942,7 +16934,7 @@
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|
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|
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16959 |
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|
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|
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|
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|
@@ -17006,7 +16998,7 @@
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|
17006 |
23,
|
17007 |
13
|
17008 |
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|
17009 |
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"text": " Доходный дом М. П.
|
17010 |
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17011 |
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@@ -17191,8 +17183,8 @@
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|
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|
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17196 |
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@@ -17200,11 +17192,9 @@
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|
17200 |
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|
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17204 |
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|
17205 |
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17209 |
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17210 |
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|
@@ -17340,7 +17330,7 @@
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17340 |
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17341 |
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|
17342 |
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17343 |
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"text": " Географическое
|
17344 |
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|
17345 |
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|
17346 |
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|
@@ -18234,8 +18224,8 @@
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|
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18306 |
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18307 |
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18309 |
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18310 |
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18311 |
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18313 |
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|
18329 |
101629,
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18330 |
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18331 |
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18332 |
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"text": " Стюарт родился в Сан-Филипе на Барбадосе. По состоянию на октябрь 2010 года он одинок и воспитывает дочь. Он окончил университет Вест-Индии и имеет степень в области политологии и права. Стюарт является адвокатом и его практику составляли дела из уголовного и корпоративного права.
|
18333 |
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18334 |
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@@ -18554,7 +18543,7 @@
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18554 |
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18555 |
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18556 |
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18557 |
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18558 |
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18560 |
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|
18804 |
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18805 |
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18806 |
16,
|
18807 |
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|
18808 |
11,
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18809 |
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18810 |
105277,
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@@ -18816,7 +18805,7 @@
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|
18816 |
102988,
|
18817 |
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18818 |
],
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18819 |
-
"text": " Известна с XV века, когда относилась к Бобольскому стану Боровского уезда. В материалах дозора 1613 года значится «За боярином, за князем Борисом Михайловичем Лыковым... Кухтина, а в ней пашни паханые крестьянские три полуосмины, да по речке по Кщеме по берегу сена пять копен». В 1782 году Кухтина и слобода на реке Кшома вместе с деревнями Алешина, Левина, Глухова и Реткина во владениях князя Василия Ивановича Долгорукова и Евдокии Александровны Зиновьевой. В 1780 году В. И. Долгоруков выставлял на продажу свои деревни в Медынском уезде, в том числе и Кухтину с 504 крепостными в ней. К 1859 году значилась как деревня 1-го стана Медынского уезда и насчитывала 33 двора и 328 жителей. После реформ 1861 года вошла в Глуховскую волость. К 1914 году население возросло до 391
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18820 |
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18821 |
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18822 |
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172 |
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173 |
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174 |
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175 |
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"text": " Сб. «Киноварь» Альманах «Литературного особняка» No 1. М.,1922 «Коралловый корабль» «Литературно-художествен. сб. голодающим Поволжья» «Из недр земли» «Балтийский альманах» «Новые стихи» 1. 1926 «Плетень. Антология». 1924 «Сегодня. ― Рязань,1921 «Сопо» Сб. «Голгофа строф» Строфы века. ― М., 1995 Сто поэтесс Серебряного века. ― СПб, 1996 Наталья Кугушева. Некрашеные весла. Проржавленные дни: Собрание стихотворений / Сост."
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176 |
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177 |
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200 |
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201 |
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|
260 |
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262 |
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|
393 |
102735,
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13
|
395 |
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396 |
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"text": " Замок терял оборонительные функции и постепенно становился роскошным жильём дворцового типа для лица с высоким статусом. Процесс завершился в XVII веке, когда замок стал резиденцией государственного чиновника и просвещённого вельможи нового типа, каким был сын мэра города Амстердам — Питер Хофт. Писатель, поэт и драматург, член одной камеры риторов Амстердама, Питер Хофт превратил бывшую крепость в известный литературный салон. Он жил и трудился в замке 39 лет, где собирал вокруг себя литературно одарённых современников, среди которых — Вондел, Бредеро, Якоб Катс, художница-график и маст��рица Мария Тесселсхаде Виссер и её сестра Анна Виссер, поэтесса, поэт и композитор Константин Гюйгенс. За рвами с водой были спланированы голландские сады, где были сад слив и сад трав."
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397 |
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398 |
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464 |
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465 |
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468 |
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470 |
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|
|
654 |
15,
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655 |
13
|
656 |
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657 |
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"text": " Холлинджер рассчитал PER таким образом, что средний показатель по лиге в каждом сезоне составляет всегда 15. 00Всего 24 раза в истории НБА игрок закончил сезон с PER выше 30,0. Самый высокий PER за сезон был зафиксирован у Янниса Адетокунбо в сезоне 2019/2020 и составил 31. 86. Майкл Джордан и Леброн Джеймс провели по 4 сезона с PER выше 30,0, Шакил О’Нил и Уилт Чемберлен — по 3 сезона, Энтони Дэвис и Яннис Адетокунбо — по 2 сезона, Дэвид Робинсон, Дуэйн Уэйд, Крис Пол, Трэйси Макгрэди, Стефен Карри, Рассел Уэстбрук и Джеймс Харден — по одному сезону в карьере. Сезон НБА 2008/2009 и 2018/2019 — единственный на данный момент в истории сезоны, когда более одного игрока получили PER более 30,0."
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658 |
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|
659 |
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660 |
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|
|
1916 |
}
|
1917 |
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1918 |
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1919 |
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1920 |
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1921 |
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1922 |
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1923 |
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|
1997 |
13337,
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1998 |
44155,
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1999 |
13289,
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2000 |
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127690,
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|
|
2001 |
100752,
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2002 |
126316,
|
2003 |
57297,
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|
|
2109 |
104450,
|
2110 |
13
|
2111 |
],
|
2112 |
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"text": " Гран-при Германии 1965 года — седьмой эта�� чемпионата мира по автогонкам в классе Формула-1 сезона 1965 года. Автогонки прошли 1 августа 1965 года на трассе Нюрбургринг в ФРГ. Команда «Хонда» пропустила этот этап чемпионата. «Лотус» расширил свою заявку до трёх автомобилей, усадив за руль на одну гонку местного пилота Герхарда Миттера. К постоянным участникам чемпионата добавились пилоты команды «Скудерия Чентро Суд» Мастен Грегори и не прошедший в итоге квалификацию Роберто Буссинелло. Также за руль автомобиля собственной команды вернулся Джек Брэбем. Крис Эймон вновь стартовал за частную команду Реджа Парнелла. В гонке Джим Кларк одержал победу, завоевав «большой шлем» и звание чемпиона мира за три этапа до окончания чемпионата."
|
2113 |
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2114 |
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2912 |
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2913 |
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2914 |
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2915 |
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2916 |
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2918 |
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2996 |
5927,
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2997 |
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2998 |
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2999 |
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109621,
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|
3000 |
100702,
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3001 |
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3002 |
131011,
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|
|
3086 |
126333,
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3087 |
13
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3088 |
],
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3089 |
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"text": " В июле 1968 года в результате бескровного переворота к власти в Ираке пришла партия «Баас». Президенту республики по Конституции 1968 года давались также широкие полномочия. Вся власть сосредотачивалась в руках только одного человека — Ахмада аль-Бакра. В июле 1979 года аль-Бакр ушёл в отставку. президентом стал Саддам Хусейн, хотя уже был де-факто лидером Ирака несколько лет до этого, имея контроль над спецслужбами. После ликвидации всех политических противников, в основном левого толка, Саддам получил фактически диктаторские полномочия в результате совмещения всех высших постов. В апреле 2003 года международная коалиция во главе с США вторглась в Ирак и свергла режим Саддама Хусейна, а сам он был схвачен и казнен."
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3090 |
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3091 |
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4274 |
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4275 |
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4334 |
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4335 |
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|
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4338 |
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4339 |
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4365 |
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4366 |
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4367 |
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4368 |
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4370 |
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4371 |
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4372 |
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4381 |
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4382 |
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4383 |
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4384 |
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4385 |
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4386 |
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|
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4391 |
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|
4392 |
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|
4393 |
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4394 |
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"text": " Точная медицина — инновационный подход в системе здравоохранения, при котором профилактика и лечение заболеваний подбирается главным образом по генетической информации. Он появился благодаря технологиям больших данных и снижению стоимости секвенирования ДНК. Первой страной, запустившей проект точной медицины, стали США в 2016 году, Термин «точная медицина» появился в 2009 году, после случая с Ником Волкером. У мальчика в 2 года сильно болел кишечник. К 6 годам он перенёс 160 операций. Потом, к его лечению подключился Ховард Джейкоб, который секвенировал геном мальчика и нашёл мутацию в гене XIAP, ответственном за редкий воспалительный процесс в кишечнике, который лечится трансплантацией костного мозга. После операции Ник полностью выздоровел. Таким образом, только генетический анализ помог победить болезнь неясного происхождения. Он помогает приблизительно в 30% случаев при неопределённом диагнозе. Примечания."
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4395 |
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4396 |
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4542 |
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4545 |
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4547 |
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|
|
4566 |
114466,
|
4567 |
13
|
4568 |
],
|
4569 |
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"text": " Рябинки Рябинки — деревня в Можайском районе Московской области, в составе сельского поселения Замошинское. Численность постоянного населения по Всероссийской переписи 2010 года — 5 человек. До 2006 года Рябинки входили в состав Замошинского сельского округа. Деревня расположена на западе района, примерно в 11 км к юго-востоку от Уваровки, на суходоле, на автодороге \"46К-1130\" Уваровка — Можайск, высота над уровнем моря 235 м. ближайшие населённые пункты — Храброво на северо-западе, Захаровка на севере и Высокое на северо-востоке."
|
4570 |
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5554 |
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5555 |
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|
5699 |
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"text": " По форме морское страхование может быть:# Договорное. Предполагает заключение договора морского страхования со страховщиком, который за определённую плату обязуется возместить страхователю или выгодоприобретателю убытки, причинённые страховым случаем. Договорное морское страхование является одним из первых видов страхования. Первый известный договор морского страхования был заключён в 1347 году# Взаимное. Взаимное страхование осуществляется в клубах взаимного страхования. Клубы взаимного страхования впервые возникли в Англии после 1720 года. Особенностью взаимного страхования является то, что возможные убытки члена клуба взаимного страхования возмещаются из общего фонда, формируемого за счёт взносов членов клуба."
|
5700 |
},
|
5701 |
"sample": {
|
5702 |
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|
|
6835 |
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6836 |
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111394,
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|
|
6920 |
109507,
|
6921 |
13
|
6922 |
],
|
6923 |
+
"text": " Фильм стал первым опытом сотрудничества Китона с Metro-Goldwyn-Mayer и имел успех, однако уже через год компания лишила Китона творческого контроля над его фильмами, нанеся тем самым серьёзный и долговременный ущерб его карьере. Китон позднее назвал переход в MGM крупнейшей ошибкой своей карьеры. Фильм долгое время считался утерянным. Полная копия была обнаружена в 1968 году в Париже. В 1991 году выявили ещё одну копию, гораздо более высокого качества, но с отсутствием некоторых фрагментов. На их основе была смонтирована полная качественная версия. В 2005 году «Кинооператор» был включён в Национальный реестр фильмов."
|
6924 |
},
|
6925 |
"sample": {
|
6926 |
"messages": [
|
|
|
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|
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|
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9571 |
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232
|
9572 |
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|
9574 |
}
|
|
|
9705 |
"info": {
|
9706 |
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|
9707 |
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|
9708 |
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232
|
9709 |
],
|
9710 |
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|
9711 |
}
|
|
|
9834 |
"info": {
|
9835 |
"prompt_len": 116,
|
9836 |
"generated_len": [
|
9837 |
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232
|
9838 |
],
|
9839 |
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|
9840 |
}
|
|
|
9953 |
"info": {
|
9954 |
"prompt_len": 106,
|
9955 |
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|
9956 |
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232
|
9957 |
],
|
9958 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
9959 |
}
|
|
|
10203 |
"info": {
|
10204 |
"prompt_len": 237,
|
10205 |
"generated_len": [
|
10206 |
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232
|
10207 |
],
|
10208 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10209 |
}
|
10210 |
}
|
10211 |
{
|
10212 |
"metric": {
|
10213 |
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10288 |
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|
|
|
10337 |
104491,
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10338 |
13
|
10339 |
],
|
10340 |
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"text": " Образовано в 1957 году путем объединения сел \"Великие Хутора\", \"Малые Хутора\" и \"Кайдачиха\". На карте Винницы, датируемой 1916-м годом, находится рядом с Малыми хуторами в составе Винницы под названием Большие хутора. Числились, наряду с Малыми хуторами, как предместье Винницы. Исторически в состав Винницких хуторов входили села: Кайдачиха, Тененки и Геталка. Название Кайдачиха сохранила за собой часть села."
|
10341 |
},
|
10342 |
"sample": {
|
10343 |
"messages": [
|
|
|
10358 |
"info": {
|
10359 |
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|
10360 |
"generated_len": [
|
10361 |
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232
|
10362 |
],
|
10363 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10364 |
}
|
10365 |
}
|
10366 |
{
|
10367 |
"metric": {
|
10368 |
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"symbol_per_token": 3.9956896551724137,
|
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|
10372 |
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|
|
|
10460 |
101300,
|
10461 |
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|
10462 |
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|
10463 |
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|
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|
10464 |
101632,
|
10465 |
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|
10466 |
103659,
|
|
|
10624 |
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|
10625 |
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|
10626 |
"generated_len": [
|
10627 |
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232
|
10628 |
],
|
10629 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10630 |
}
|
|
|
10804 |
"info": {
|
10805 |
"prompt_len": 167,
|
10806 |
"generated_len": [
|
10807 |
+
232
|
10808 |
],
|
10809 |
"generated_cumulative_logprob": "TODO: calculate for hf model"
|
10810 |
}
|
|
|
13436 |
}
|
13437 |
{
|
13438 |
"metric": {
|
13439 |
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"symbol_per_token": 3.692857142857143,
|
13440 |
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"len": 0.9856115107913669,
|
13441 |
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|
13442 |
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|
13443 |
"predict": {
|
|
|
13510 |
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|
13511 |
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|
13512 |
13373,
|
13513 |
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100734,
|
13514 |
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|
13515 |
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|
13516 |
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1840,
|
13517 |
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|
13518 |
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|
13519 |
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|
|
|
13563 |
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|
13564 |
11,
|
13565 |
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|
13566 |
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128004,
|
13567 |
136712,
|
13568 |
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|
13569 |
15088,
|
|
|
13582 |
109966,
|
13583 |
13
|
13584 |
],
|
13585 |
+
"text": " Русалка «Руса́лка: Письмо́ для краса́вицъ» — галицко-русская газета, которая издавалась для женщин в 1868—1870 во Львове. Выходила дважды в месяц. Издатель и редактор Северин Шехович. Печаталась на язы́чьи. В «Русалке» публиковались художественные произведения, лирические поэзии, подавалась светская хроника, полезные советы по ведению хозяйства, печатались заметки о других народах, сообщалось о положении женщин в Англии и Германии, о намерении львовянок создать высшее женское учебное заведение. Вышло 24 номера."
|
13586 |
},
|
13587 |
"sample": {
|
13588 |
"messages": [
|
|
|
13610 |
}
|
13611 |
{
|
13612 |
"metric": {
|
13613 |
+
"symbol_per_token": 4.0,
|
13614 |
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"len": 1.0,
|
13615 |
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|
13616 |
},
|
13617 |
"predict": {
|
|
|
13785 |
102026,
|
13786 |
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|
13787 |
100334,
|
13788 |
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|
|
|
13789 |
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|
13790 |
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|
13791 |
104531,
|
|
|
13811 |
94565,
|
13812 |
75608
|
13813 |
],
|
13814 |
+
"text": " В 1980-х годах популярность Национальной баскетбольной ассоциации резко возросла, и стало ясно, что 12 888 мест в «Memorial Coliseum», в котором в то время играл свои домашние игры «Портленд Трэйл Блэйзерс», больше не хватает. Начиная с 5 апреля 1977 года «Трэйл Блэйзерс» распродавали полностью все билеты на свои домашние игры. В 1988 году команду купил Пол Аллен, после чего команда выходила в финал чемпионата в 1990 и 1992 годах. Вскоре Аллен решил построить новую арену для своей команды и в 1991 году основал Oregon Arena Corporation, частную компанию, в которой Аллен был единственным акционером, для строительства и управления новой арены. Вскоре команда договорилась с городом Портленд о строительстве нового мультифункционального комплекса рядом с «Memorial Coliseum»."
|
13815 |
},
|
13816 |
"sample": {
|
13817 |
"messages": [
|
|
|
15676 |
97065,
|
15677 |
12,
|
15678 |
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|
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101621,
|
15680 |
12769,
|
15681 |
132254,
|
15682 |
100434,
|
|
|
15735 |
121286,
|
15736 |
13
|
15737 |
],
|
15738 |
+
"text": " Эрхарт часто упоминается в работах музыкантов, таких как Джони Митчелл, Патти Смит, Хитер Нова. Амелия Эрхарт явилась одним из главных персонажей фантастического фильма «Ночь в музее 2», где её роль исполнила актриса Эми Адамс. Амелия Эрхарт — центральный персонаж 1 серии 2 сезона «Тридцать Седьмые» сериала «». В телесериала-антологии «Американская история ужасов» одним из важных персонажей является Амелия Эрхарт. Её роль исполнила Лили Рэйб. В 2009 году вышел биографический фильм Миры Наир «Амелия», в главной роли — Хилари Суонк."
|
15739 |
},
|
15740 |
"sample": {
|
15741 |
"messages": [
|
|
|
16890 |
81856,
|
16891 |
11,
|
16892 |
98851,
|
16893 |
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133768,
|
16894 |
104754,
|
16895 |
3865,
|
16896 |
117461,
|
|
|
16906 |
30,
|
16907 |
9135
|
16908 |
],
|
16909 |
+
"text": " В мистическом триллере Яна Нэза «Властелин старости», первая часть книги носит название «Чёрный дембель» и также посвящена одноименному персонажу. В книге Чёрный дембель — это лесной идол, обладающий телепортирующим свойством и отправляющий домой всякого, кто помажет его кровью из левого мизинца. Фильм Андрея Прошкина «Солдатский декамерон» в прессе называют «Возвращением Чёрного дембеля». Аналогичным представляется четвёртый сезон телесериала «Lost». В 17-ом эпизоде 15-го сезона сериала «Солдаты» старослужащие решили пошутить над молодыми, придумав легенду о Чёрном дембеле, который произносил капитану фразу: \"Покурим, служивый?!\""
|
16910 |
},
|
16911 |
"sample": {
|
16912 |
"messages": [
|
|
|
16934 |
}
|
16935 |
{
|
16936 |
"metric": {
|
16937 |
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"symbol_per_token": 2.7241379310344827,
|
16938 |
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|
16939 |
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|
16940 |
},
|
|
|
16950 |
13,
|
16951 |
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|
16952 |
5591,
|
16953 |
+
136350,
|
16954 |
13,
|
16955 |
131652,
|
16956 |
100273,
|
|
|
16998 |
23,
|
16999 |
13
|
17000 |
],
|
17001 |
+
"text": " Доходный дом М. П. Кудрявцевой. Дмитровский переулок, 3. Доходный дом Якоби. Улица Декабристов, 5. Переулок Пирогова, 4. Доходный дом. Поварской переулок, 8."
|
17002 |
},
|
17003 |
"sample": {
|
17004 |
"messages": [
|
|
|
17183 |
}
|
17184 |
{
|
17185 |
"metric": {
|
17186 |
+
"symbol_per_token": 3.801418439716312,
|
17187 |
+
"len": 0.9859154929577465,
|
17188 |
"lcs": 1.0
|
17189 |
},
|
17190 |
"predict": {
|
|
|
17192 |
102612,
|
17193 |
100957,
|
17194 |
101767,
|
17195 |
+
102752,
|
17196 |
+
198,
|
17197 |
+
111697,
|
|
|
|
|
17198 |
108175,
|
17199 |
5927,
|
17200 |
110488,
|
|
|
17330 |
103588,
|
17331 |
497
|
17332 |
],
|
17333 |
+
"text": " Географическое положение\nРасположен в южной части Приазово-Кубанской равнины, в южно-предгорной зоне, на левом берегу Кубани в 3 км на северо-запад от административного центра поселения — хутора Ольгинский.; Климатумеренно континентальный, без резких колебаний суточных и месячных температур. Продолжительность периода с температурой выше 0° С достигает 9-10 месяцев, из них половина — 4-5 месяцев — лето. Среднегодовая температура около +11°, постепенно нарастая от 15° в мае до 30° в августе. Годовая сумма осадков достигает 800 мм.."
|
17334 |
},
|
17335 |
"sample": {
|
17336 |
"messages": [
|
|
|
18224 |
}
|
18225 |
{
|
18226 |
"metric": {
|
18227 |
+
"symbol_per_token": 4.556818181818182,
|
18228 |
+
"len": 1.0,
|
18229 |
"lcs": 1.0
|
18230 |
},
|
18231 |
"predict": {
|
|
|
18296 |
102055,
|
18297 |
13,
|
18298 |
101132,
|
18299 |
+
125989,
|
|
|
18300 |
100983,
|
18301 |
108290,
|
18302 |
105801,
|
|
|
18318 |
101629,
|
18319 |
13
|
18320 |
],
|
18321 |
+
"text": " Стюарт родился в Сан-Филипе на Барбадосе. По состоянию на октябрь 2010 года он одинок и воспитывает дочь. Он окончил университет Вест-Индии и имеет степень в области политологии и права. Стюарт является адвокатом и его практику составляли дела из уголовного и корпоративного права. Поддержал ряд общественных организаций и сейчас спонсирует Dayrells United Achievers Community клуб и спортивный клуб."
|
18322 |
},
|
18323 |
"sample": {
|
18324 |
"messages": [
|
|
|
18543 |
}
|
18544 |
{
|
18545 |
"metric": {
|
18546 |
+
"symbol_per_token": 3.26953125,
|
18547 |
"len": 1.0,
|
18548 |
"lcs": 1.0
|
18549 |
},
|
|
|
18793 |
18,
|
18794 |
24,
|
18795 |
16,
|
18796 |
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100739,
|
18797 |
11,
|
18798 |
5927,
|
18799 |
105277,
|
|
|
18805 |
102988,
|
18806 |
13
|
18807 |
],
|
18808 |
+
"text": " Известна с XV века, когда относилась к Бобольскому стану Боровского уезда. В материалах дозора 1613 года значится «За боярином, за князем Борисом Михайловичем Лыковым... Кухтина, а в ней пашни паханые крестьянские три полуосмины, да по речке по Кщеме по берегу сена пять копен». В 1782 году Кухтина и слобода на реке Кшома вместе с деревнями Алешина, Левина, Глухова и Реткина во владениях князя Василия Ивановича Долгорукова и Евдокии Александровны Зиновьевой. В 1780 году В. И. Долгоруков выставлял на продажу свои деревни в Медынском уезде, в том числе и Кухтину с 504 крепостными в ней. К 1859 году значилась как деревня 1-го стана Медынского уезда и насчитывала 33 двора и 328 жителей. После реформ 1861 года вошла в Глуховскую волость. К 1914 году население возросло до 391 человека, в деревне открылась земская школа. Примечания."
|
18809 |
},
|
18810 |
"sample": {
|
18811 |
"messages": [
|
llmtf_eval/darumeru_cp_para_ru_params.jsonl
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"custom_generation_config": null,
|
3 |
"model_params": {
|
4 |
-
"model_name_or_path": "/
|
5 |
"generation_config": {
|
6 |
"bos_token_id": 147075,
|
7 |
"do_sample": true,
|
|
|
1 |
{
|
2 |
"custom_generation_config": null,
|
3 |
"model_params": {
|
4 |
+
"model_name_or_path": "/workdir/data/models/qwen/ruadapt_qwen2.5_7B_ext_u48_part1-2_lr5e4_peft_mlp_32_32_bs128_as1.5_pv8_ft0_as1.35_kto1_as0.75_simpo2_as1.0",
|
5 |
"generation_config": {
|
6 |
"bos_token_id": 147075,
|
7 |
"do_sample": true,
|
llmtf_eval/darumeru_cp_para_ru_total.jsonl
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"task_name": "darumeru/cp_para_ru",
|
3 |
"results": {
|
4 |
-
"symbol_per_token": 3.
|
5 |
-
"len": 0.
|
6 |
"lcs": 1.0
|
7 |
},
|
8 |
"leaderboard_result": 1.0
|
|
|
1 |
{
|
2 |
"task_name": "darumeru/cp_para_ru",
|
3 |
"results": {
|
4 |
+
"symbol_per_token": 3.9953318595732386,
|
5 |
+
"len": 0.9990656928305265,
|
6 |
"lcs": 1.0
|
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llmtf_eval/darumeru_ruOpenBookQA.jsonl
CHANGED
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llmtf_eval/darumeru_ruOpenBookQA_params.jsonl
CHANGED
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llmtf_eval/darumeru_ruWorldTree_params.jsonl
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llmtf_eval/evaluation_log.txt
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INFO: 2024-10-26 10:00:27,739: llmtf.base.darumeru/RCB: Loading Dataset: 2.68s
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|
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mean darumeru/PARus
|
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0.
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INFO: 2024-10-26 10:03:13,162: llmtf.base.daru/treewayabstractive: {'rouge1': 0.3486928379990829, 'rouge2': 0.12579847916639003}
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INFO: 2024-10-26 10:03:13,169: llmtf.base.evaluator:
|
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mean daru/treewayabstractive darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/cp_para_ru darumeru/ruOpenBookQA darumeru/ruWorldTree
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0.693 0.237 0.800 0.553 0.534 1.000 0.819 0.905
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INFO: 2024-10-26 10:04:19,979: llmtf.base.darumeru/MultiQ: Processing Dataset: 234.15s
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91 |
-
INFO: 2024-10-26 10:04:19,982: llmtf.base.darumeru/MultiQ: Results for darumeru/MultiQ:
|
92 |
-
INFO: 2024-10-26 10:04:19,986: llmtf.base.darumeru/MultiQ: {'f1': 0.28476692977698215, 'em': 0.17304015296367112}
|
93 |
-
INFO: 2024-10-26 10:04:19,991: llmtf.base.evaluator: Ended eval
|
94 |
-
INFO: 2024-10-26 10:04:19,997: llmtf.base.evaluator:
|
95 |
-
mean daru/treewayabstractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/cp_para_ru darumeru/ruOpenBookQA darumeru/ruWorldTree
|
96 |
-
0.635 0.237 0.229 0.800 0.553 0.534 1.000 0.819 0.905
|
97 |
-
INFO: 2024-10-26 10:04:32,092: llmtf.base.evaluator: Starting eval on ['nlpcoreteam/enmmlu']
|
98 |
-
INFO: 2024-10-26 10:04:32,092: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
99 |
-
INFO: 2024-10-26 10:04:32,092: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
100 |
-
INFO: 2024-10-26 10:05:58,778: llmtf.base.daru/treewayextractive: Processing Dataset: 312.04s
|
101 |
-
INFO: 2024-10-26 10:05:58,782: llmtf.base.daru/treewayextractive: Results for daru/treewayextractive:
|
102 |
-
INFO: 2024-10-26 10:05:59,016: llmtf.base.daru/treewayextractive: {'r-prec': 0.3931765512265512}
|
103 |
-
INFO: 2024-10-26 10:05:59,058: llmtf.base.evaluator: Ended eval
|
104 |
-
INFO: 2024-10-26 10:05:59,066: llmtf.base.evaluator:
|
105 |
-
mean daru/treewayabstractive daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/cp_para_ru darumeru/ruOpenBookQA darumeru/ruWorldTree
|
106 |
-
0.608 0.237 0.393 0.229 0.800 0.553 0.534 1.000 0.819 0.905
|
107 |
-
INFO: 2024-10-26 10:06:34,248: llmtf.base.nlpcoreteam/enMMLU: Loading Dataset: 122.16s
|
108 |
-
INFO: 2024-10-26 10:07:49,582: llmtf.base.nlpcoreteam/ruMMLU: Processing Dataset: 307.75s
|
109 |
-
INFO: 2024-10-26 10:07:49,584: llmtf.base.nlpcoreteam/ruMMLU: Results for nlpcoreteam/ruMMLU:
|
110 |
-
INFO: 2024-10-26 10:07:49,630: llmtf.base.nlpcoreteam/ruMMLU: metric
|
111 |
subject
|
112 |
-
abstract_algebra 0.
|
113 |
-
anatomy 0.
|
114 |
-
astronomy 0.
|
115 |
-
business_ethics 0.
|
116 |
-
clinical_knowledge 0.
|
117 |
-
college_biology 0.
|
118 |
college_chemistry 0.470000
|
119 |
-
college_computer_science 0.
|
120 |
-
college_mathematics 0.
|
121 |
college_medicine 0.589595
|
122 |
-
college_physics 0.
|
123 |
-
computer_security 0.
|
124 |
-
conceptual_physics 0.
|
125 |
-
econometrics 0.
|
126 |
-
electrical_engineering 0.
|
127 |
-
elementary_mathematics 0.
|
128 |
-
formal_logic 0.
|
129 |
-
global_facts 0.
|
130 |
-
high_school_biology 0.
|
131 |
-
high_school_chemistry 0.
|
132 |
-
high_school_computer_science 0.
|
133 |
-
high_school_european_history 0.
|
134 |
-
high_school_geography 0.
|
135 |
-
high_school_government_and_politics 0.
|
136 |
-
high_school_macroeconomics 0.
|
137 |
-
high_school_mathematics 0.
|
138 |
-
high_school_microeconomics 0.
|
139 |
-
high_school_physics 0.
|
140 |
high_school_psychology 0.796330
|
141 |
-
high_school_statistics 0.
|
142 |
-
high_school_us_history 0.
|
143 |
-
high_school_world_history 0.
|
144 |
-
human_aging 0.
|
145 |
human_sexuality 0.717557
|
146 |
-
international_law 0.
|
147 |
-
jurisprudence 0.
|
148 |
-
logical_fallacies 0.
|
149 |
-
machine_learning 0.
|
150 |
-
management 0.
|
151 |
-
marketing 0.
|
152 |
medical_genetics 0.650000
|
153 |
-
miscellaneous 0.
|
154 |
-
moral_disputes 0.
|
155 |
-
moral_scenarios 0.
|
156 |
-
nutrition 0.
|
157 |
-
philosophy 0.
|
158 |
-
prehistory 0.
|
159 |
-
professional_accounting 0.
|
160 |
-
professional_law 0.
|
161 |
-
professional_medicine 0.
|
162 |
-
professional_psychology 0.
|
163 |
-
public_relations 0.
|
164 |
-
security_studies 0.
|
165 |
-
sociology 0.
|
166 |
us_foreign_policy 0.800000
|
167 |
virology 0.500000
|
168 |
-
world_religions 0.
|
169 |
-
INFO: 2024-10-
|
170 |
subject
|
171 |
-
STEM 0.
|
172 |
-
humanities 0.
|
173 |
-
other (business, health, misc.) 0.
|
174 |
-
social sciences 0.
|
175 |
-
INFO: 2024-10-
|
176 |
-
INFO: 2024-10-
|
177 |
-
INFO: 2024-10-
|
178 |
-
mean
|
179 |
-
0.
|
180 |
-
INFO: 2024-10-
|
181 |
-
INFO: 2024-10-
|
182 |
-
INFO: 2024-10-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
183 |
subject
|
184 |
-
abstract_algebra 0.
|
185 |
-
anatomy 0.
|
186 |
-
astronomy 0.
|
187 |
-
business_ethics 0.
|
188 |
-
clinical_knowledge 0.
|
189 |
-
college_biology 0.
|
190 |
-
college_chemistry 0.
|
191 |
-
college_computer_science 0.
|
192 |
college_mathematics 0.470000
|
193 |
-
college_medicine 0.
|
194 |
-
college_physics 0.
|
195 |
-
computer_security 0.
|
196 |
conceptual_physics 0.706383
|
197 |
-
econometrics 0.
|
198 |
-
electrical_engineering 0.
|
199 |
elementary_mathematics 0.666667
|
200 |
-
formal_logic 0.
|
201 |
-
global_facts 0.
|
202 |
-
high_school_biology 0.
|
203 |
-
high_school_chemistry 0.
|
204 |
-
high_school_computer_science 0.
|
205 |
-
high_school_european_history 0.
|
206 |
-
high_school_geography 0.
|
207 |
-
high_school_government_and_politics 0.
|
208 |
high_school_macroeconomics 0.761538
|
209 |
-
high_school_mathematics 0.
|
210 |
-
high_school_microeconomics 0.
|
211 |
high_school_physics 0.582781
|
212 |
-
high_school_psychology 0.
|
213 |
-
high_school_statistics 0.
|
214 |
-
high_school_us_history 0.
|
215 |
-
high_school_world_history 0.
|
216 |
-
human_aging 0.
|
217 |
-
human_sexuality 0.
|
218 |
-
international_law 0.
|
219 |
-
jurisprudence 0.
|
220 |
-
logical_fallacies 0.
|
221 |
-
machine_learning 0.
|
222 |
-
management 0.
|
223 |
-
marketing 0.
|
224 |
-
medical_genetics 0.
|
225 |
-
miscellaneous 0.
|
226 |
-
moral_disputes 0.
|
227 |
-
moral_scenarios 0.
|
228 |
-
nutrition 0.
|
229 |
-
philosophy 0.
|
230 |
-
prehistory 0.
|
231 |
-
professional_accounting 0.
|
232 |
-
professional_law 0.
|
233 |
-
professional_medicine 0.
|
234 |
-
professional_psychology 0.
|
235 |
-
public_relations 0.
|
236 |
security_studies 0.759184
|
237 |
sociology 0.845771
|
238 |
-
us_foreign_policy 0.
|
239 |
-
virology 0.
|
240 |
-
world_religions 0.
|
241 |
-
INFO: 2024-10-
|
242 |
subject
|
243 |
-
STEM 0.
|
244 |
-
humanities 0.
|
245 |
-
other (business, health, misc.) 0.
|
246 |
-
social sciences 0.
|
247 |
-
INFO: 2024-10-
|
248 |
-
INFO: 2024-10-
|
249 |
-
INFO: 2024-10-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
250 |
mean daru/treewayabstractive daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/cp_para_ru darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/enMMLU nlpcoreteam/ruMMLU
|
251 |
-
0.
|
|
|
1 |
+
INFO: 2024-10-28 13:15:15,094: llmtf.base.evaluator: Starting eval on ['darumeru/multiq']
|
2 |
+
INFO: 2024-10-28 13:15:15,094: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
3 |
+
INFO: 2024-10-28 13:15:15,094: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
4 |
+
INFO: 2024-10-28 13:15:16,695: llmtf.base.evaluator: Starting eval on ['darumeru/parus']
|
5 |
+
INFO: 2024-10-28 13:15:16,695: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
6 |
+
INFO: 2024-10-28 13:15:16,695: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
7 |
+
INFO: 2024-10-28 13:15:18,943: llmtf.base.darumeru/PARus: Loading Dataset: 2.25s
|
8 |
+
INFO: 2024-10-28 13:15:19,297: llmtf.base.darumeru/MultiQ: Loading Dataset: 4.20s
|
9 |
+
INFO: 2024-10-28 13:15:22,318: llmtf.base.darumeru/PARus: Processing Dataset: 3.37s
|
10 |
+
INFO: 2024-10-28 13:15:22,318: llmtf.base.darumeru/PARus: Results for darumeru/PARus:
|
11 |
+
INFO: 2024-10-28 13:15:22,329: llmtf.base.darumeru/PARus: {'acc': 0.78}
|
12 |
+
INFO: 2024-10-28 13:15:22,330: llmtf.base.evaluator: Ended eval
|
13 |
+
INFO: 2024-10-28 13:15:22,330: llmtf.base.evaluator:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
mean darumeru/PARus
|
15 |
+
0.780 0.780
|
16 |
+
INFO: 2024-10-28 13:15:30,304: llmtf.base.evaluator: Starting eval on ['darumeru/ruopenbookqa']
|
17 |
+
INFO: 2024-10-28 13:15:30,304: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
18 |
+
INFO: 2024-10-28 13:15:30,304: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
19 |
+
INFO: 2024-10-28 13:15:33,637: llmtf.base.darumeru/ruOpenBookQA: Loading Dataset: 3.33s
|
20 |
+
INFO: 2024-10-28 13:16:05,173: llmtf.base.darumeru/ruOpenBookQA: Processing Dataset: 31.54s
|
21 |
+
INFO: 2024-10-28 13:16:05,173: llmtf.base.darumeru/ruOpenBookQA: Results for darumeru/ruOpenBookQA:
|
22 |
+
INFO: 2024-10-28 13:16:05,184: llmtf.base.darumeru/ruOpenBookQA: {'acc': 0.8256013745704467, 'f1_macro': 0.8262484506706507}
|
23 |
+
INFO: 2024-10-28 13:16:05,191: llmtf.base.evaluator: Ended eval
|
24 |
+
INFO: 2024-10-28 13:16:05,192: llmtf.base.evaluator:
|
25 |
+
mean darumeru/PARus darumeru/ruOpenBookQA
|
26 |
+
0.803 0.780 0.826
|
27 |
+
INFO: 2024-10-28 13:16:13,923: llmtf.base.evaluator: Starting eval on ['darumeru/rwsd']
|
28 |
+
INFO: 2024-10-28 13:16:13,923: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
29 |
+
INFO: 2024-10-28 13:16:13,923: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
30 |
+
INFO: 2024-10-28 13:16:16,429: llmtf.base.darumeru/RWSD: Loading Dataset: 2.51s
|
31 |
+
INFO: 2024-10-28 13:16:22,246: llmtf.base.darumeru/RWSD: Processing Dataset: 5.82s
|
32 |
+
INFO: 2024-10-28 13:16:22,246: llmtf.base.darumeru/RWSD: Results for darumeru/RWSD:
|
33 |
+
INFO: 2024-10-28 13:16:22,247: llmtf.base.darumeru/RWSD: {'acc': 0.5441176470588235}
|
34 |
+
INFO: 2024-10-28 13:16:22,248: llmtf.base.evaluator: Ended eval
|
35 |
+
INFO: 2024-10-28 13:16:22,249: llmtf.base.evaluator:
|
36 |
+
mean darumeru/PARus darumeru/RWSD darumeru/ruOpenBookQA
|
37 |
+
0.717 0.780 0.544 0.826
|
38 |
+
INFO: 2024-10-28 13:16:31,348: llmtf.base.evaluator: Starting eval on ['nlpcoreteam/rummlu']
|
39 |
+
INFO: 2024-10-28 13:16:31,348: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
40 |
+
INFO: 2024-10-28 13:16:31,348: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
41 |
+
INFO: 2024-10-28 13:18:38,554: llmtf.base.nlpcoreteam/ruMMLU: Loading Dataset: 127.21s
|
42 |
+
INFO: 2024-10-28 13:20:06,478: llmtf.base.darumeru/MultiQ: Processing Dataset: 287.18s
|
43 |
+
INFO: 2024-10-28 13:20:06,479: llmtf.base.darumeru/MultiQ: Results for darumeru/MultiQ:
|
44 |
+
INFO: 2024-10-28 13:20:06,480: llmtf.base.darumeru/MultiQ: {'f1': 0.2503859074384594, 'em': 0.14531548757170173}
|
45 |
+
INFO: 2024-10-28 13:20:06,488: llmtf.base.evaluator: Ended eval
|
46 |
+
INFO: 2024-10-28 13:20:06,489: llmtf.base.evaluator:
|
47 |
+
mean darumeru/MultiQ darumeru/PARus darumeru/RWSD darumeru/ruOpenBookQA
|
48 |
+
0.587 0.198 0.780 0.544 0.826
|
49 |
+
INFO: 2024-10-28 13:20:15,334: llmtf.base.evaluator: Starting eval on ['darumeru/rcb']
|
50 |
+
INFO: 2024-10-28 13:20:15,335: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
51 |
+
INFO: 2024-10-28 13:20:15,335: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
52 |
+
INFO: 2024-10-28 13:20:18,179: llmtf.base.darumeru/RCB: Loading Dataset: 2.84s
|
53 |
+
INFO: 2024-10-28 13:20:23,505: llmtf.base.darumeru/RCB: Processing Dataset: 5.33s
|
54 |
+
INFO: 2024-10-28 13:20:23,506: llmtf.base.darumeru/RCB: Results for darumeru/RCB:
|
55 |
+
INFO: 2024-10-28 13:20:23,510: llmtf.base.darumeru/RCB: {'acc': 0.5863636363636363, 'f1_macro': 0.5032640286161413}
|
56 |
+
INFO: 2024-10-28 13:20:23,511: llmtf.base.evaluator: Ended eval
|
57 |
+
INFO: 2024-10-28 13:20:23,512: llmtf.base.evaluator:
|
58 |
+
mean darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/ruOpenBookQA
|
59 |
+
0.579 0.198 0.780 0.545 0.544 0.826
|
60 |
+
INFO: 2024-10-28 13:20:32,046: llmtf.base.evaluator: Starting eval on ['darumeru/ruworldtree']
|
61 |
+
INFO: 2024-10-28 13:20:32,046: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
62 |
+
INFO: 2024-10-28 13:20:32,046: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
63 |
+
INFO: 2024-10-28 13:20:34,403: llmtf.base.darumeru/ruWorldTree: Loading Dataset: 2.36s
|
64 |
+
INFO: 2024-10-28 13:20:36,969: llmtf.base.darumeru/ruWorldTree: Processing Dataset: 2.57s
|
65 |
+
INFO: 2024-10-28 13:20:36,969: llmtf.base.darumeru/ruWorldTree: Results for darumeru/ruWorldTree:
|
66 |
+
INFO: 2024-10-28 13:20:36,972: llmtf.base.darumeru/ruWorldTree: {'acc': 0.9047619047619048, 'f1_macro': 0.9038817229146561}
|
67 |
+
INFO: 2024-10-28 13:20:36,972: llmtf.base.evaluator: Ended eval
|
68 |
+
INFO: 2024-10-28 13:20:36,972: llmtf.base.evaluator:
|
69 |
+
mean darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/ruOpenBookQA darumeru/ruWorldTree
|
70 |
+
0.633 0.198 0.780 0.545 0.544 0.826 0.904
|
71 |
+
INFO: 2024-10-28 13:20:45,488: llmtf.base.evaluator: Starting eval on ['daru/treewayextractive']
|
72 |
+
INFO: 2024-10-28 13:20:45,488: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
73 |
+
INFO: 2024-10-28 13:20:45,488: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
74 |
+
INFO: 2024-10-28 13:20:59,443: llmtf.base.daru/treewayextractive: Loading Dataset: 13.95s
|
75 |
+
INFO: 2024-10-28 13:23:49,533: llmtf.base.nlpcoreteam/ruMMLU: Processing Dataset: 310.98s
|
76 |
+
INFO: 2024-10-28 13:23:49,533: llmtf.base.nlpcoreteam/ruMMLU: Results for nlpcoreteam/ruMMLU:
|
77 |
+
INFO: 2024-10-28 13:23:49,597: llmtf.base.nlpcoreteam/ruMMLU: metric
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
78 |
subject
|
79 |
+
abstract_algebra 0.480000
|
80 |
+
anatomy 0.562963
|
81 |
+
astronomy 0.769737
|
82 |
+
business_ethics 0.640000
|
83 |
+
clinical_knowledge 0.671698
|
84 |
+
college_biology 0.673611
|
85 |
college_chemistry 0.470000
|
86 |
+
college_computer_science 0.670000
|
87 |
+
college_mathematics 0.440000
|
88 |
college_medicine 0.589595
|
89 |
+
college_physics 0.480392
|
90 |
+
computer_security 0.720000
|
91 |
+
conceptual_physics 0.655319
|
92 |
+
econometrics 0.482456
|
93 |
+
electrical_engineering 0.606897
|
94 |
+
elementary_mathematics 0.616402
|
95 |
+
formal_logic 0.428571
|
96 |
+
global_facts 0.370000
|
97 |
+
high_school_biology 0.809677
|
98 |
+
high_school_chemistry 0.571429
|
99 |
+
high_school_computer_science 0.770000
|
100 |
+
high_school_european_history 0.751515
|
101 |
+
high_school_geography 0.782828
|
102 |
+
high_school_government_and_politics 0.725389
|
103 |
+
high_school_macroeconomics 0.658974
|
104 |
+
high_school_mathematics 0.525926
|
105 |
+
high_school_microeconomics 0.705882
|
106 |
+
high_school_physics 0.463576
|
107 |
high_school_psychology 0.796330
|
108 |
+
high_school_statistics 0.606481
|
109 |
+
high_school_us_history 0.779412
|
110 |
+
high_school_world_history 0.801688
|
111 |
+
human_aging 0.632287
|
112 |
human_sexuality 0.717557
|
113 |
+
international_law 0.743802
|
114 |
+
jurisprudence 0.675926
|
115 |
+
logical_fallacies 0.662577
|
116 |
+
machine_learning 0.482143
|
117 |
+
management 0.747573
|
118 |
+
marketing 0.816239
|
119 |
medical_genetics 0.650000
|
120 |
+
miscellaneous 0.711367
|
121 |
+
moral_disputes 0.627168
|
122 |
+
moral_scenarios 0.244693
|
123 |
+
nutrition 0.689542
|
124 |
+
philosophy 0.646302
|
125 |
+
prehistory 0.660494
|
126 |
+
professional_accounting 0.439716
|
127 |
+
professional_law 0.411343
|
128 |
+
professional_medicine 0.613971
|
129 |
+
professional_psychology 0.591503
|
130 |
+
public_relations 0.545455
|
131 |
+
security_studies 0.665306
|
132 |
+
sociology 0.736318
|
133 |
us_foreign_policy 0.800000
|
134 |
virology 0.500000
|
135 |
+
world_religions 0.760234
|
136 |
+
INFO: 2024-10-28 13:23:49,606: llmtf.base.nlpcoreteam/ruMMLU: metric
|
137 |
subject
|
138 |
+
STEM 0.600644
|
139 |
+
humanities 0.630286
|
140 |
+
other (business, health, misc.) 0.616782
|
141 |
+
social sciences 0.684000
|
142 |
+
INFO: 2024-10-28 13:23:49,611: llmtf.base.nlpcoreteam/ruMMLU: {'acc': 0.6329281396317665}
|
143 |
+
INFO: 2024-10-28 13:23:49,646: llmtf.base.evaluator: Ended eval
|
144 |
+
INFO: 2024-10-28 13:23:49,648: llmtf.base.evaluator:
|
145 |
+
mean darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/ruMMLU
|
146 |
+
0.633 0.198 0.780 0.545 0.544 0.826 0.904 0.633
|
147 |
+
INFO: 2024-10-28 13:23:57,887: llmtf.base.evaluator: Starting eval on ['daru/treewayabstractive']
|
148 |
+
INFO: 2024-10-28 13:23:57,887: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
149 |
+
INFO: 2024-10-28 13:23:57,887: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
150 |
+
INFO: 2024-10-28 13:24:02,221: llmtf.base.daru/treewayabstractive: Loading Dataset: 4.33s
|
151 |
+
INFO: 2024-10-28 13:26:15,188: llmtf.base.daru/treewayextractive: Processing Dataset: 315.74s
|
152 |
+
INFO: 2024-10-28 13:26:15,188: llmtf.base.daru/treewayextractive: Results for daru/treewayextractive:
|
153 |
+
INFO: 2024-10-28 13:26:15,447: llmtf.base.daru/treewayextractive: {'r-prec': 0.40380281385281386}
|
154 |
+
INFO: 2024-10-28 13:26:15,501: llmtf.base.evaluator: Ended eval
|
155 |
+
INFO: 2024-10-28 13:26:15,503: llmtf.base.evaluator:
|
156 |
+
mean daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/ruMMLU
|
157 |
+
0.604 0.404 0.198 0.780 0.545 0.544 0.826 0.904 0.633
|
158 |
+
INFO: 2024-10-28 13:26:24,206: llmtf.base.evaluator: Starting eval on ['nlpcoreteam/enmmlu']
|
159 |
+
INFO: 2024-10-28 13:26:24,207: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
160 |
+
INFO: 2024-10-28 13:26:24,207: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
161 |
+
INFO: 2024-10-28 13:26:48,154: llmtf.base.daru/treewayabstractive: Processing Dataset: 165.93s
|
162 |
+
INFO: 2024-10-28 13:26:48,154: llmtf.base.daru/treewayabstractive: Results for daru/treewayabstractive:
|
163 |
+
INFO: 2024-10-28 13:26:48,155: llmtf.base.daru/treewayabstractive: {'rouge1': 0.3489002151166006, 'rouge2': 0.12404569962254197}
|
164 |
+
INFO: 2024-10-28 13:26:48,156: llmtf.base.evaluator: Ended eval
|
165 |
+
INFO: 2024-10-28 13:26:48,157: llmtf.base.evaluator:
|
166 |
+
mean daru/treewayabstractive daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/ruMMLU
|
167 |
+
0.563 0.236 0.404 0.198 0.780 0.545 0.544 0.826 0.904 0.633
|
168 |
+
INFO: 2024-10-28 13:28:23,832: llmtf.base.nlpcoreteam/enMMLU: Loading Dataset: 119.62s
|
169 |
+
INFO: 2024-10-28 13:33:05,781: llmtf.base.nlpcoreteam/enMMLU: Processing Dataset: 281.95s
|
170 |
+
INFO: 2024-10-28 13:33:05,781: llmtf.base.nlpcoreteam/enMMLU: Results for nlpcoreteam/enMMLU:
|
171 |
+
INFO: 2024-10-28 13:33:05,844: llmtf.base.nlpcoreteam/enMMLU: metric
|
172 |
subject
|
173 |
+
abstract_algebra 0.450000
|
174 |
+
anatomy 0.725926
|
175 |
+
astronomy 0.861842
|
176 |
+
business_ethics 0.750000
|
177 |
+
clinical_knowledge 0.762264
|
178 |
+
college_biology 0.854167
|
179 |
+
college_chemistry 0.510000
|
180 |
+
college_computer_science 0.720000
|
181 |
college_mathematics 0.470000
|
182 |
+
college_medicine 0.699422
|
183 |
+
college_physics 0.509804
|
184 |
+
computer_security 0.770000
|
185 |
conceptual_physics 0.706383
|
186 |
+
econometrics 0.605263
|
187 |
+
electrical_engineering 0.696552
|
188 |
elementary_mathematics 0.666667
|
189 |
+
formal_logic 0.492063
|
190 |
+
global_facts 0.420000
|
191 |
+
high_school_biology 0.861290
|
192 |
+
high_school_chemistry 0.620690
|
193 |
+
high_school_computer_science 0.840000
|
194 |
+
high_school_european_history 0.824242
|
195 |
+
high_school_geography 0.873737
|
196 |
+
high_school_government_and_politics 0.927461
|
197 |
high_school_macroeconomics 0.761538
|
198 |
+
high_school_mathematics 0.566667
|
199 |
+
high_school_microeconomics 0.873950
|
200 |
high_school_physics 0.582781
|
201 |
+
high_school_psychology 0.888073
|
202 |
+
high_school_statistics 0.708333
|
203 |
+
high_school_us_history 0.838235
|
204 |
+
high_school_world_history 0.860759
|
205 |
+
human_aging 0.762332
|
206 |
+
human_sexuality 0.786260
|
207 |
+
international_law 0.809917
|
208 |
+
jurisprudence 0.796296
|
209 |
+
logical_fallacies 0.828221
|
210 |
+
machine_learning 0.526786
|
211 |
+
management 0.854369
|
212 |
+
marketing 0.914530
|
213 |
+
medical_genetics 0.810000
|
214 |
+
miscellaneous 0.848020
|
215 |
+
moral_disputes 0.736994
|
216 |
+
moral_scenarios 0.459218
|
217 |
+
nutrition 0.797386
|
218 |
+
philosophy 0.723473
|
219 |
+
prehistory 0.805556
|
220 |
+
professional_accounting 0.556738
|
221 |
+
professional_law 0.507823
|
222 |
+
professional_medicine 0.742647
|
223 |
+
professional_psychology 0.750000
|
224 |
+
public_relations 0.636364
|
225 |
security_studies 0.759184
|
226 |
sociology 0.845771
|
227 |
+
us_foreign_policy 0.850000
|
228 |
+
virology 0.506024
|
229 |
+
world_religions 0.853801
|
230 |
+
INFO: 2024-10-28 13:33:05,852: llmtf.base.nlpcoreteam/enMMLU: metric
|
231 |
subject
|
232 |
+
STEM 0.662331
|
233 |
+
humanities 0.733585
|
234 |
+
other (business, health, misc.) 0.724976
|
235 |
+
social sciences 0.796467
|
236 |
+
INFO: 2024-10-28 13:33:05,857: llmtf.base.nlpcoreteam/enMMLU: {'acc': 0.7293395108036221}
|
237 |
+
INFO: 2024-10-28 13:33:05,908: llmtf.base.evaluator: Ended eval
|
238 |
+
INFO: 2024-10-28 13:33:05,910: llmtf.base.evaluator:
|
239 |
+
mean daru/treewayabstractive daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/enMMLU nlpcoreteam/ruMMLU
|
240 |
+
0.580 0.236 0.404 0.198 0.780 0.545 0.544 0.826 0.904 0.729 0.633
|
241 |
+
INFO: 2024-10-28 13:33:14,562: llmtf.base.evaluator: Starting eval on ['darumeru/cp_para_ru']
|
242 |
+
INFO: 2024-10-28 13:33:14,562: llmtf.base.hfmodel: Updated generation_config.eos_token_id: [147077]
|
243 |
+
INFO: 2024-10-28 13:33:14,562: llmtf.base.hfmodel: Updated generation_config.stop_strings: ['<|im_end|>']
|
244 |
+
INFO: 2024-10-28 13:33:17,057: llmtf.base.darumeru/cp_para_ru: Loading Dataset: 2.49s
|
245 |
+
INFO: 2024-10-28 13:35:21,669: llmtf.base.darumeru/cp_para_ru: Processing Dataset: 124.61s
|
246 |
+
INFO: 2024-10-28 13:35:21,670: llmtf.base.darumeru/cp_para_ru: Results for darumeru/cp_para_ru:
|
247 |
+
INFO: 2024-10-28 13:35:21,670: llmtf.base.darumeru/cp_para_ru: {'symbol_per_token': 3.9953318595732386, 'len': 0.9990656928305265, 'lcs': 1.0}
|
248 |
+
INFO: 2024-10-28 13:35:21,671: llmtf.base.evaluator: Ended eval
|
249 |
+
INFO: 2024-10-28 13:35:21,672: llmtf.base.evaluator:
|
250 |
mean daru/treewayabstractive daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/cp_para_ru darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/enMMLU nlpcoreteam/ruMMLU
|
251 |
+
0.618 0.236 0.404 0.198 0.780 0.545 0.544 1.000 0.826 0.904 0.729 0.633
|
llmtf_eval/evaluation_results.txt
CHANGED
@@ -1,2 +1,2 @@
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|
1 |
mean daru/treewayabstractive daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/cp_para_ru darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/enMMLU nlpcoreteam/ruMMLU
|
2 |
-
0.
|
|
|
1 |
mean daru/treewayabstractive daru/treewayextractive darumeru/MultiQ darumeru/PARus darumeru/RCB darumeru/RWSD darumeru/cp_para_ru darumeru/ruOpenBookQA darumeru/ruWorldTree nlpcoreteam/enMMLU nlpcoreteam/ruMMLU
|
2 |
+
0.618 0.236 0.404 0.198 0.780 0.545 0.544 1.000 0.826 0.904 0.729 0.633
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llmtf_eval/nlpcoreteam_enMMLU.jsonl
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size 37151487
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llmtf_eval/nlpcoreteam_enMMLU_params.jsonl
CHANGED
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|
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"do_sample": true,
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llmtf_eval/nlpcoreteam_enMMLU_total.jsonl
CHANGED
@@ -1,7 +1,7 @@
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{
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llmtf_eval/nlpcoreteam_ruMMLU.jsonl
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llmtf_eval/nlpcoreteam_ruMMLU_params.jsonl
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llmtf_eval/nlpcoreteam_ruMMLU_total.jsonl
CHANGED
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