Upload batch 385 (20 files, last=construct_citations_dataset/all_field_pairs_433_2510/philosophy_val_pairs.jsonl)
Browse files- construct_citations_dataset/all_field_pairs_433_2510/art_train_pairs.jsonl +7 -0
- construct_citations_dataset/all_field_pairs_433_2510/biology_test_pairs.jsonl +140 -0
- construct_citations_dataset/all_field_pairs_433_2510/biology_train_pairs.jsonl +128 -0
- construct_citations_dataset/all_field_pairs_433_2510/csrankings_test_pairs.jsonl +0 -0
- construct_citations_dataset/all_field_pairs_433_2510/geology_train_pairs.jsonl +584 -0
- construct_citations_dataset/all_field_pairs_433_2510/geology_val_pairs.jsonl +358 -0
- construct_citations_dataset/all_field_pairs_433_2510/history_train_pairs.jsonl +1 -0
- construct_citations_dataset/all_field_pairs_433_2510/materials_science_train_pairs.jsonl +322 -0
- construct_citations_dataset/all_field_pairs_433_2510/mathematics_val_pairs.jsonl +106 -0
- construct_citations_dataset/all_field_pairs_433_2510/medicine_train_pairs.jsonl +0 -0
- construct_citations_dataset/all_field_pairs_433_2510/philosophy_train_pairs.jsonl +38 -0
- construct_citations_dataset/all_field_pairs_433_2510/philosophy_val_pairs.jsonl +26 -0
- construct_citations_dataset/logs/llama32_all_fields_17084492.err +123 -0
- construct_citations_dataset/logs/llama32_all_fields_17084971.err +0 -0
- construct_citations_dataset/logs/llama32_all_fields_17084971.out +242 -0
- construct_citations_dataset/logs/llama32_all_fields_17084994.out +215 -0
- construct_citations_dataset/logs/llama32_all_fields_17085031.err +0 -0
- construct_citations_dataset/logs/llama32_all_fields_17085031.out +241 -0
- construct_citations_dataset/logs/llama32_all_fields_17085236.err +0 -0
- construct_citations_dataset/logs/llama32_all_fields_17085236.out +241 -0
construct_citations_dataset/all_field_pairs_433_2510/art_train_pairs.jsonl
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{"paper_a_id": "624523951", "paper_b_id": "2010170088", "citations_a": 10, "citations_b": 24, "ratio_class": "2x", "publication_month": "2005-01", "label": 1}
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{"paper_a_id": "2078752093", "paper_b_id": "2056003001", "citations_a": 26, "citations_b": 69, "ratio_class": "2x", "publication_month": "2006-01", "label": 1}
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{"paper_a_id": "2078921909", "paper_b_id": "2056003001", "citations_a": 28, "citations_b": 69, "ratio_class": "2x", "publication_month": "2006-01", "label": 1}
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{"paper_a_id": "1984640228", "paper_b_id": "2056003001", "citations_a": 27, "citations_b": 69, "ratio_class": "2x", "publication_month": "2006-01", "label": 1}
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{"paper_a_id": "2087368521", "paper_b_id": "2277281199", "citations_a": 17, "citations_b": 50, "ratio_class": "2x", "publication_month": "2012-01", "label": 1}
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construct_citations_dataset/all_field_pairs_433_2510/biology_test_pairs.jsonl
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construct_citations_dataset/all_field_pairs_433_2510/biology_train_pairs.jsonl
ADDED
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|
| 122 |
+
{"paper_a_id": "2335528344", "paper_b_id": "2341424940", "citations_a": 30, "citations_b": 82, "ratio_class": "2x", "publication_month": "2016-04", "label": 1}
|
| 123 |
+
{"paper_a_id": "2317627052", "paper_b_id": "2344225301", "citations_a": 10, "citations_b": 50, "ratio_class": "5x", "publication_month": "2016-04", "label": 1}
|
| 124 |
+
{"paper_a_id": "2559459041", "paper_b_id": "2551957766", "citations_a": 13, "citations_b": 32, "ratio_class": "2x", "publication_month": "2016-11", "label": 1}
|
| 125 |
+
{"paper_a_id": "2767593997", "paper_b_id": "2768520749", "citations_a": 17, "citations_b": 40, "ratio_class": "2x", "publication_month": "2017-11", "label": 1}
|
| 126 |
+
{"paper_a_id": "2725654910", "paper_b_id": "2731908234", "citations_a": 13, "citations_b": 337, "ratio_class": "10x+", "publication_month": "2017-07", "label": 1}
|
| 127 |
+
{"paper_a_id": "2755591835", "paper_b_id": "2750910159", "citations_a": 16, "citations_b": 92, "ratio_class": "5x", "publication_month": "2017-09", "label": 1}
|
| 128 |
+
{"paper_a_id": "3009484925", "paper_b_id": "3011211676", "citations_a": 23, "citations_b": 67, "ratio_class": "2x", "publication_month": "2020-03", "label": 1}
|
construct_citations_dataset/all_field_pairs_433_2510/csrankings_test_pairs.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
construct_citations_dataset/all_field_pairs_433_2510/geology_train_pairs.jsonl
ADDED
|
@@ -0,0 +1,584 @@
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|
| 1 |
+
{"paper_a_id": "2143334782", "paper_b_id": "2032309637", "citations_a": 35, "citations_b": 84, "ratio_class": "2x", "publication_month": "2001-07", "label": 1}
|
| 2 |
+
{"paper_a_id": "2071464887", "paper_b_id": "2071338868", "citations_a": 11, "citations_b": 28, "ratio_class": "2x", "publication_month": "2001-07", "label": 1}
|
| 3 |
+
{"paper_a_id": "2161003702", "paper_b_id": "1731626208", "citations_a": 19, "citations_b": 43, "ratio_class": "2x", "publication_month": "2001-01", "label": 1}
|
| 4 |
+
{"paper_a_id": "2161003702", "paper_b_id": "2103002533", "citations_a": 19, "citations_b": 52, "ratio_class": "2x", "publication_month": "2001-01", "label": 1}
|
| 5 |
+
{"paper_a_id": "2161003702", "paper_b_id": "2150863356", "citations_a": 19, "citations_b": 280, "ratio_class": "10x+", "publication_month": "2001-01", "label": 1}
|
| 6 |
+
{"paper_a_id": "2107878825", "paper_b_id": "2059473887", "citations_a": 10, "citations_b": 26, "ratio_class": "2x", "publication_month": "2001-01", "label": 1}
|
| 7 |
+
{"paper_a_id": "2107878825", "paper_b_id": "2103002533", "citations_a": 10, "citations_b": 52, "ratio_class": "5x", "publication_month": "2001-01", "label": 1}
|
| 8 |
+
{"paper_a_id": "2107878825", "paper_b_id": "2150863356", "citations_a": 10, "citations_b": 280, "ratio_class": "10x+", "publication_month": "2001-01", "label": 1}
|
| 9 |
+
{"paper_a_id": "2072914015", "paper_b_id": "1979849154", "citations_a": 15, "citations_b": 33, "ratio_class": "2x", "publication_month": "2001-01", "label": 1}
|
| 10 |
+
{"paper_a_id": "2072914015", "paper_b_id": "1731626208", "citations_a": 15, "citations_b": 43, "ratio_class": "2x", "publication_month": "2001-01", "label": 1}
|
| 11 |
+
{"paper_a_id": "2072914015", "paper_b_id": "2150863356", "citations_a": 15, "citations_b": 280, "ratio_class": "10x+", "publication_month": "2001-01", "label": 1}
|
| 12 |
+
{"paper_a_id": "2059473887", "paper_b_id": "2103002533", "citations_a": 26, "citations_b": 52, "ratio_class": "2x", "publication_month": "2001-01", "label": 1}
|
| 13 |
+
{"paper_a_id": "2059473887", "paper_b_id": "2156860666", "citations_a": 26, "citations_b": 63, "ratio_class": "2x", "publication_month": "2001-01", "label": 1}
|
| 14 |
+
{"paper_a_id": "2059473887", "paper_b_id": "2150863356", "citations_a": 26, "citations_b": 280, "ratio_class": "10x+", "publication_month": "2001-01", "label": 1}
|
| 15 |
+
{"paper_a_id": "2103002533", "paper_b_id": "2150863356", "citations_a": 52, "citations_b": 280, "ratio_class": "5x", "publication_month": "2001-01", "label": 1}
|
| 16 |
+
{"paper_a_id": "2079593388", "paper_b_id": "2159526931", "citations_a": 15, "citations_b": 32, "ratio_class": "2x", "publication_month": "2001-03", "label": 1}
|
| 17 |
+
{"paper_a_id": "2049311662", "paper_b_id": "2159526931", "citations_a": 16, "citations_b": 32, "ratio_class": "2x", "publication_month": "2001-03", "label": 1}
|
| 18 |
+
{"paper_a_id": "2007442302", "paper_b_id": "2159526931", "citations_a": 15, "citations_b": 32, "ratio_class": "2x", "publication_month": "2001-03", "label": 1}
|
| 19 |
+
{"paper_a_id": "2163659206", "paper_b_id": "2130419354", "citations_a": 26, "citations_b": 152, "ratio_class": "5x", "publication_month": "2001-08", "label": 1}
|
| 20 |
+
{"paper_a_id": "2074297507", "paper_b_id": "2130419354", "citations_a": 14, "citations_b": 152, "ratio_class": "10x+", "publication_month": "2001-08", "label": 1}
|
| 21 |
+
{"paper_a_id": "2055151040", "paper_b_id": "2145443744", "citations_a": 30, "citations_b": 70, "ratio_class": "2x", "publication_month": "2002-01", "label": 1}
|
| 22 |
+
{"paper_a_id": "2055151040", "paper_b_id": "2016270634", "citations_a": 30, "citations_b": 71, "ratio_class": "2x", "publication_month": "2002-01", "label": 1}
|
| 23 |
+
{"paper_a_id": "2055151040", "paper_b_id": "2142607986", "citations_a": 30, "citations_b": 389, "ratio_class": "10x+", "publication_month": "2002-01", "label": 1}
|
| 24 |
+
{"paper_a_id": "2016270634", "paper_b_id": "2076630164", "citations_a": 71, "citations_b": 205, "ratio_class": "2x", "publication_month": "2002-01", "label": 1}
|
| 25 |
+
{"paper_a_id": "2016270634", "paper_b_id": "2142607986", "citations_a": 71, "citations_b": 389, "ratio_class": "5x", "publication_month": "2002-01", "label": 1}
|
| 26 |
+
{"paper_a_id": "2053632786", "paper_b_id": "2145443744", "citations_a": 33, "citations_b": 70, "ratio_class": "2x", "publication_month": "2002-01", "label": 1}
|
| 27 |
+
{"paper_a_id": "2053632786", "paper_b_id": "2016270634", "citations_a": 33, "citations_b": 71, "ratio_class": "2x", "publication_month": "2002-01", "label": 1}
|
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construct_citations_dataset/all_field_pairs_433_2510/geology_val_pairs.jsonl
ADDED
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construct_citations_dataset/all_field_pairs_433_2510/history_train_pairs.jsonl
ADDED
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construct_citations_dataset/all_field_pairs_433_2510/materials_science_train_pairs.jsonl
ADDED
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@@ -0,0 +1,322 @@
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construct_citations_dataset/all_field_pairs_433_2510/mathematics_val_pairs.jsonl
ADDED
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{"paper_a_id": "1967744481", "paper_b_id": "1963730918", "citations_a": 36, "citations_b": 73, "ratio_class": "2x", "publication_month": "2007-10", "label": 1}
|
| 14 |
+
{"paper_a_id": "2004437340", "paper_b_id": "2141813233", "citations_a": 15, "citations_b": 168, "ratio_class": "10x+", "publication_month": "2007-03", "label": 1}
|
| 15 |
+
{"paper_a_id": "2013208335", "paper_b_id": "1994837233", "citations_a": 16, "citations_b": 35, "ratio_class": "2x", "publication_month": "2008-01", "label": 1}
|
| 16 |
+
{"paper_a_id": "1971659962", "paper_b_id": "2008333730", "citations_a": 25, "citations_b": 53, "ratio_class": "2x", "publication_month": "2008-07", "label": 1}
|
| 17 |
+
{"paper_a_id": "2115943609", "paper_b_id": "1989670680", "citations_a": 20, "citations_b": 53, "ratio_class": "2x", "publication_month": "2009-04", "label": 1}
|
| 18 |
+
{"paper_a_id": "2044500662", "paper_b_id": "1989670680", "citations_a": 23, "citations_b": 53, "ratio_class": "2x", "publication_month": "2009-04", "label": 1}
|
| 19 |
+
{"paper_a_id": "2152980565", "paper_b_id": "2117109096", "citations_a": 14, "citations_b": 30, "ratio_class": "2x", "publication_month": "2009-03", "label": 1}
|
| 20 |
+
{"paper_a_id": "2080374857", "paper_b_id": "1723811055", "citations_a": 11, "citations_b": 170, "ratio_class": "10x+", "publication_month": "2009-05", "label": 1}
|
| 21 |
+
{"paper_a_id": "2319135335", "paper_b_id": "2170010316", "citations_a": 15, "citations_b": 34, "ratio_class": "2x", "publication_month": "2010-09", "label": 1}
|
| 22 |
+
{"paper_a_id": "2162049213", "paper_b_id": "1993396248", "citations_a": 11, "citations_b": 30, "ratio_class": "2x", "publication_month": "2010-04", "label": 1}
|
| 23 |
+
{"paper_a_id": "2160531423", "paper_b_id": "2105010491", "citations_a": 37, "citations_b": 78, "ratio_class": "2x", "publication_month": "2011-01", "label": 1}
|
| 24 |
+
{"paper_a_id": "1539619865", "paper_b_id": "2037415402", "citations_a": 10, "citations_b": 22, "ratio_class": "2x", "publication_month": "2012-08", "label": 1}
|
| 25 |
+
{"paper_a_id": "297933022", "paper_b_id": "2071145115", "citations_a": 23, "citations_b": 128, "ratio_class": "5x", "publication_month": "2013-01", "label": 1}
|
| 26 |
+
{"paper_a_id": "2050991787", "paper_b_id": "2014764783", "citations_a": 12, "citations_b": 33, "ratio_class": "2x", "publication_month": "2012-12", "label": 1}
|
| 27 |
+
{"paper_a_id": "2041700909", "paper_b_id": "1998354124", "citations_a": 10, "citations_b": 25, "ratio_class": "2x", "publication_month": "2013-09", "label": 1}
|
| 28 |
+
{"paper_a_id": "1978327420", "paper_b_id": "2344807819", "citations_a": 14, "citations_b": 33, "ratio_class": "2x", "publication_month": "2014-01", "label": 1}
|
| 29 |
+
{"paper_a_id": "1978327420", "paper_b_id": "2019272718", "citations_a": 14, "citations_b": 253, "ratio_class": "10x+", "publication_month": "2014-01", "label": 1}
|
| 30 |
+
{"paper_a_id": "2049560000", "paper_b_id": "2018942396", "citations_a": 12, "citations_b": 32, "ratio_class": "2x", "publication_month": "2014-07", "label": 1}
|
| 31 |
+
{"paper_a_id": "1441306912", "paper_b_id": "2146135206", "citations_a": 23, "citations_b": 57, "ratio_class": "2x", "publication_month": "2015-01", "label": 1}
|
| 32 |
+
{"paper_a_id": "1441306912", "paper_b_id": "2156319804", "citations_a": 23, "citations_b": 120, "ratio_class": "5x", "publication_month": "2015-01", "label": 1}
|
| 33 |
+
{"paper_a_id": "2146135206", "paper_b_id": "2156319804", "citations_a": 57, "citations_b": 120, "ratio_class": "2x", "publication_month": "2015-01", "label": 1}
|
| 34 |
+
{"paper_a_id": "2012059166", "paper_b_id": "2156319804", "citations_a": 45, "citations_b": 120, "ratio_class": "2x", "publication_month": "2015-01", "label": 1}
|
| 35 |
+
{"paper_a_id": "2396253871", "paper_b_id": "2597753101", "citations_a": 10, "citations_b": 28, "ratio_class": "2x", "publication_month": "2016-01", "label": 1}
|
| 36 |
+
{"paper_a_id": "2342182724", "paper_b_id": "2314948969", "citations_a": 11, "citations_b": 32, "ratio_class": "2x", "publication_month": "2016-04", "label": 1}
|
| 37 |
+
{"paper_a_id": "2467178160", "paper_b_id": "2396872601", "citations_a": 16, "citations_b": 38, "ratio_class": "2x", "publication_month": "2016-06", "label": 1}
|
| 38 |
+
{"paper_a_id": "2605597211", "paper_b_id": "2606408928", "citations_a": 14, "citations_b": 39, "ratio_class": "2x", "publication_month": "2017-04", "label": 1}
|
construct_citations_dataset/all_field_pairs_433_2510/philosophy_val_pairs.jsonl
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
{"paper_a_id": "1978814051", "paper_b_id": "2296941740", "citations_a": 15, "citations_b": 32, "ratio_class": "2x", "publication_month": "2002-01", "label": 1}
|
| 2 |
+
{"paper_a_id": "1978814051", "paper_b_id": "2024464611", "citations_a": 15, "citations_b": 234, "ratio_class": "10x+", "publication_month": "2002-01", "label": 1}
|
| 3 |
+
{"paper_a_id": "2526106370", "paper_b_id": "2296941740", "citations_a": 14, "citations_b": 32, "ratio_class": "2x", "publication_month": "2002-01", "label": 1}
|
| 4 |
+
{"paper_a_id": "2526106370", "paper_b_id": "2024464611", "citations_a": 14, "citations_b": 234, "ratio_class": "10x+", "publication_month": "2002-01", "label": 1}
|
| 5 |
+
{"paper_a_id": "2075191886", "paper_b_id": "1972282375", "citations_a": 35, "citations_b": 78, "ratio_class": "2x", "publication_month": "2003-01", "label": 1}
|
| 6 |
+
{"paper_a_id": "2075191886", "paper_b_id": "2509501020", "citations_a": 35, "citations_b": 615, "ratio_class": "10x+", "publication_month": "2003-01", "label": 1}
|
| 7 |
+
{"paper_a_id": "1994205098", "paper_b_id": "2167749291", "citations_a": 22, "citations_b": 45, "ratio_class": "2x", "publication_month": "2006-03", "label": 1}
|
| 8 |
+
{"paper_a_id": "2050337742", "paper_b_id": "1565648104", "citations_a": 13, "citations_b": 37, "ratio_class": "2x", "publication_month": "2006-01", "label": 1}
|
| 9 |
+
{"paper_a_id": "2050267426", "paper_b_id": "2042518004", "citations_a": 21, "citations_b": 60, "ratio_class": "2x", "publication_month": "2008-01", "label": 1}
|
| 10 |
+
{"paper_a_id": "2147928912", "paper_b_id": "2050267426", "citations_a": 10, "citations_b": 21, "ratio_class": "2x", "publication_month": "2008-01", "label": 1}
|
| 11 |
+
{"paper_a_id": "1982466954", "paper_b_id": "2115065966", "citations_a": 14, "citations_b": 35, "ratio_class": "2x", "publication_month": "2008-11", "label": 1}
|
| 12 |
+
{"paper_a_id": "1979027035", "paper_b_id": "2115065966", "citations_a": 13, "citations_b": 35, "ratio_class": "2x", "publication_month": "2008-11", "label": 1}
|
| 13 |
+
{"paper_a_id": "2074122312", "paper_b_id": "2023943709", "citations_a": 35, "citations_b": 94, "ratio_class": "2x", "publication_month": "2009-04", "label": 1}
|
| 14 |
+
{"paper_a_id": "2023116491", "paper_b_id": "2023943709", "citations_a": 42, "citations_b": 94, "ratio_class": "2x", "publication_month": "2009-04", "label": 1}
|
| 15 |
+
{"paper_a_id": "2161620698", "paper_b_id": "2151787258", "citations_a": 15, "citations_b": 35, "ratio_class": "2x", "publication_month": "2009-09", "label": 1}
|
| 16 |
+
{"paper_a_id": "2161620698", "paper_b_id": "2074045468", "citations_a": 15, "citations_b": 195, "ratio_class": "10x+", "publication_month": "2009-09", "label": 1}
|
| 17 |
+
{"paper_a_id": "2151787258", "paper_b_id": "2074045468", "citations_a": 35, "citations_b": 195, "ratio_class": "5x", "publication_month": "2009-09", "label": 1}
|
| 18 |
+
{"paper_a_id": "1582645268", "paper_b_id": "2115796654", "citations_a": 12, "citations_b": 129, "ratio_class": "10x+", "publication_month": "2012-08", "label": 1}
|
| 19 |
+
{"paper_a_id": "2061936334", "paper_b_id": "1978972239", "citations_a": 35, "citations_b": 178, "ratio_class": "5x", "publication_month": "2013-01", "label": 1}
|
| 20 |
+
{"paper_a_id": "2017489852", "paper_b_id": "2004274344", "citations_a": 15, "citations_b": 44, "ratio_class": "2x", "publication_month": "2012-12", "label": 1}
|
| 21 |
+
{"paper_a_id": "2106815187", "paper_b_id": "2017418000", "citations_a": 26, "citations_b": 66, "ratio_class": "2x", "publication_month": "2015-01", "label": 1}
|
| 22 |
+
{"paper_a_id": "1971901080", "paper_b_id": "2055291865", "citations_a": 17, "citations_b": 42, "ratio_class": "2x", "publication_month": "2015-01", "label": 1}
|
| 23 |
+
{"paper_a_id": "2323139864", "paper_b_id": "2226516344", "citations_a": 14, "citations_b": 32, "ratio_class": "2x", "publication_month": "2016-01", "label": 1}
|
| 24 |
+
{"paper_a_id": "2404868224", "paper_b_id": "2226516344", "citations_a": 16, "citations_b": 32, "ratio_class": "2x", "publication_month": "2016-01", "label": 1}
|
| 25 |
+
{"paper_a_id": "2572882772", "paper_b_id": "2573474092", "citations_a": 34, "citations_b": 72, "ratio_class": "2x", "publication_month": "2017-01", "label": 1}
|
| 26 |
+
{"paper_a_id": "2962103492", "paper_b_id": "2956838148", "citations_a": 28, "citations_b": 72, "ratio_class": "2x", "publication_month": "2019-01", "label": 1}
|
construct_citations_dataset/logs/llama32_all_fields_17084492.err
ADDED
|
@@ -0,0 +1,123 @@
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|
| 1 |
+
/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/transformers/utils/hub.py:110: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
|
| 2 |
+
warnings.warn(
|
| 3 |
+
Traceback (most recent call last):
|
| 4 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 402, in hf_raise_for_status
|
| 5 |
+
response.raise_for_status()
|
| 6 |
+
~~~~~~~~~~~~~~~~~~~~~~~~~^^
|
| 7 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/requests/models.py", line 1024, in raise_for_status
|
| 8 |
+
raise HTTPError(http_error_msg, response=self)
|
| 9 |
+
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct/resolve/main/config.json
|
| 10 |
+
|
| 11 |
+
The above exception was the direct cause of the following exception:
|
| 12 |
+
|
| 13 |
+
Traceback (most recent call last):
|
| 14 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/transformers/utils/hub.py", line 479, in cached_files
|
| 15 |
+
hf_hub_download(
|
| 16 |
+
~~~~~~~~~~~~~~~^
|
| 17 |
+
path_or_repo_id,
|
| 18 |
+
^^^^^^^^^^^^^^^^
|
| 19 |
+
...<10 lines>...
|
| 20 |
+
local_files_only=local_files_only,
|
| 21 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 22 |
+
)
|
| 23 |
+
^
|
| 24 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
| 25 |
+
return fn(*args, **kwargs)
|
| 26 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1007, in hf_hub_download
|
| 27 |
+
return _hf_hub_download_to_cache_dir(
|
| 28 |
+
# Destination
|
| 29 |
+
...<14 lines>...
|
| 30 |
+
force_download=force_download,
|
| 31 |
+
)
|
| 32 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1114, in _hf_hub_download_to_cache_dir
|
| 33 |
+
_raise_on_head_call_error(head_call_error, force_download, local_files_only)
|
| 34 |
+
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 35 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1655, in _raise_on_head_call_error
|
| 36 |
+
raise head_call_error
|
| 37 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1543, in _get_metadata_or_catch_error
|
| 38 |
+
metadata = get_hf_file_metadata(
|
| 39 |
+
url=url, proxies=proxies, timeout=etag_timeout, headers=headers, token=token, endpoint=endpoint
|
| 40 |
+
)
|
| 41 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
| 42 |
+
return fn(*args, **kwargs)
|
| 43 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1460, in get_hf_file_metadata
|
| 44 |
+
r = _request_wrapper(
|
| 45 |
+
method="HEAD",
|
| 46 |
+
...<5 lines>...
|
| 47 |
+
timeout=timeout,
|
| 48 |
+
)
|
| 49 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 283, in _request_wrapper
|
| 50 |
+
response = _request_wrapper(
|
| 51 |
+
method=method,
|
| 52 |
+
...<2 lines>...
|
| 53 |
+
**params,
|
| 54 |
+
)
|
| 55 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 307, in _request_wrapper
|
| 56 |
+
hf_raise_for_status(response)
|
| 57 |
+
~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
|
| 58 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 419, in hf_raise_for_status
|
| 59 |
+
raise _format(GatedRepoError, message, response) from e
|
| 60 |
+
huggingface_hub.errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-6916df49-73c9f06c39a7a2bf1dc614be;52bf263c-99d2-442e-8004-6e1225d81c7d)
|
| 61 |
+
|
| 62 |
+
Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct/resolve/main/config.json.
|
| 63 |
+
Access to model meta-llama/Llama-3.2-3B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.
|
| 64 |
+
|
| 65 |
+
The above exception was the direct cause of the following exception:
|
| 66 |
+
|
| 67 |
+
Traceback (most recent call last):
|
| 68 |
+
File "/scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_eval.py", line 517, in <module>
|
| 69 |
+
main()
|
| 70 |
+
~~~~^^
|
| 71 |
+
File "/scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_eval.py", line 365, in main
|
| 72 |
+
backend = ModelBackend()
|
| 73 |
+
File "/scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_eval.py", line 255, in __init__
|
| 74 |
+
self.llm = LLM(**llm_kwargs)
|
| 75 |
+
~~~^^^^^^^^^^^^^^
|
| 76 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/vllm/entrypoints/llm.py", line 297, in __init__
|
| 77 |
+
self.llm_engine = LLMEngine.from_engine_args(
|
| 78 |
+
~~~~~~~~~~~~~~~~~~~~~~~~~~^
|
| 79 |
+
engine_args=engine_args, usage_context=UsageContext.LLM_CLASS)
|
| 80 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 81 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/vllm/v1/engine/llm_engine.py", line 169, in from_engine_args
|
| 82 |
+
vllm_config = engine_args.create_engine_config(usage_context)
|
| 83 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/vllm/engine/arg_utils.py", line 1135, in create_engine_config
|
| 84 |
+
self.speculative_config) = maybe_override_with_speculators(
|
| 85 |
+
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
|
| 86 |
+
model=self.model,
|
| 87 |
+
^^^^^^^^^^^^^^^^^
|
| 88 |
+
...<3 lines>...
|
| 89 |
+
vllm_speculative_config=self.speculative_config,
|
| 90 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 91 |
+
)
|
| 92 |
+
^
|
| 93 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/vllm/transformers_utils/config.py", line 501, in maybe_override_with_speculators
|
| 94 |
+
config_dict, _ = PretrainedConfig.get_config_dict(
|
| 95 |
+
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
|
| 96 |
+
model if gguf_model_repo is None else gguf_model_repo,
|
| 97 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 98 |
+
...<3 lines>...
|
| 99 |
+
**kwargs,
|
| 100 |
+
^^^^^^^^^
|
| 101 |
+
)
|
| 102 |
+
^
|
| 103 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/transformers/configuration_utils.py", line 662, in get_config_dict
|
| 104 |
+
config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
|
| 105 |
+
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 106 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/transformers/configuration_utils.py", line 721, in _get_config_dict
|
| 107 |
+
resolved_config_file = cached_file(
|
| 108 |
+
pretrained_model_name_or_path,
|
| 109 |
+
...<10 lines>...
|
| 110 |
+
_commit_hash=commit_hash,
|
| 111 |
+
)
|
| 112 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/transformers/utils/hub.py", line 322, in cached_file
|
| 113 |
+
file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs)
|
| 114 |
+
File "/scratch/user/hangxiao/.conda/envs/paper_impact/lib/python3.13/site-packages/transformers/utils/hub.py", line 543, in cached_files
|
| 115 |
+
raise OSError(
|
| 116 |
+
...<2 lines>...
|
| 117 |
+
) from e
|
| 118 |
+
OSError: You are trying to access a gated repo.
|
| 119 |
+
Make sure to have access to it at https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct.
|
| 120 |
+
401 Client Error. (Request ID: Root=1-6916df49-73c9f06c39a7a2bf1dc614be;52bf263c-99d2-442e-8004-6e1225d81c7d)
|
| 121 |
+
|
| 122 |
+
Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct/resolve/main/config.json.
|
| 123 |
+
Access to model meta-llama/Llama-3.2-3B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.
|
construct_citations_dataset/logs/llama32_all_fields_17084971.err
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
construct_citations_dataset/logs/llama32_all_fields_17084971.out
ADDED
|
@@ -0,0 +1,242 @@
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|
| 1 |
+
Initializing model backend...
|
| 2 |
+
INFO 11-14 04:49:17 [__init__.py:216] Automatically detected platform cuda.
|
| 3 |
+
INFO 11-14 04:54:00 [utils.py:233] non-default args: {'dtype': 'bfloat16', 'disable_log_stats': True, 'model': 'meta-llama/Llama-3.2-3B-Instruct'}
|
| 4 |
+
INFO 11-14 04:55:40 [model.py:547] Resolved architecture: LlamaForCausalLM
|
| 5 |
+
INFO 11-14 04:55:40 [model.py:1510] Using max model len 131072
|
| 6 |
+
INFO 11-14 04:55:59 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=8192.
|
| 7 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:56:02 [core.py:644] Waiting for init message from front-end.
|
| 8 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:56:02 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='meta-llama/Llama-3.2-3B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=131072, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-3B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
|
| 9 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 10 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 11 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 12 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 13 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 14 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 15 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:56:43 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
|
| 16 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m WARNING 11-14 04:56:44 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
|
| 17 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:56:45 [gpu_model_runner.py:2602] Starting to load model meta-llama/Llama-3.2-3B-Instruct...
|
| 18 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:56:45 [gpu_model_runner.py:2634] Loading model from scratch...
|
| 19 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:56:51 [cuda.py:366] Using Flash Attention backend on V1 engine.
|
| 20 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:56:52 [weight_utils.py:392] Using model weights format ['*.safetensors']
|
| 21 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:57:08 [weight_utils.py:413] Time spent downloading weights for meta-llama/Llama-3.2-3B-Instruct: 15.290715 seconds
|
| 22 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:57:12 [default_loader.py:267] Loading weights took 3.85 seconds
|
| 23 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:57:12 [gpu_model_runner.py:2653] Model loading took 6.0160 GiB and 26.564820 seconds
|
| 24 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:58:32 [backends.py:548] Using cache directory: /home/hangxiao/.cache/vllm/torch_compile_cache/60631d1593/rank_0_0/backbone for vLLM's torch.compile
|
| 25 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:58:32 [backends.py:559] Dynamo bytecode transform time: 79.84 s
|
| 26 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:58:48 [backends.py:197] Cache the graph for dynamic shape for later use
|
| 27 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:59:01 [backends.py:218] Compiling a graph for dynamic shape takes 28.85 s
|
| 28 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:59:16 [monitor.py:34] torch.compile takes 108.69 s in total
|
| 29 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:59:25 [gpu_worker.py:298] Available KV cache memory: 28.18 GiB
|
| 30 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:59:25 [kv_cache_utils.py:1087] GPU KV cache size: 263,824 tokens
|
| 31 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:59:25 [kv_cache_utils.py:1091] Maximum concurrency for 131,072 tokens per request: 2.01x
|
| 32 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:59:35 [gpu_model_runner.py:3480] Graph capturing finished in 10 secs, took 2.57 GiB
|
| 33 |
+
[1;36m(EngineCore_DP0 pid=2631658)[0;0m INFO 11-14 04:59:35 [core.py:210] init engine (profile, create kv cache, warmup model) took 143.03 seconds
|
| 34 |
+
INFO 11-14 04:59:36 [llm.py:306] Supported_tasks: ['generate']
|
| 35 |
+
Backend initialized: local vLLM mode
|
| 36 |
+
|
| 37 |
+
=== Evaluating field: art ===
|
| 38 |
+
{"field": "art", "pairs_count": 16, "evaluated_count": 10, "skipped_count": 6, "correct_predictions": 0, "accuracy": 0.0}
|
| 39 |
+
|
| 40 |
+
=== Summary ===
|
| 41 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 16, "evaluated_pairs": 10, "skipped_pairs": 6, "elapsed_seconds": 1114.338217973709, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 42 |
+
|
| 43 |
+
Results saved to:
|
| 44 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 45 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 46 |
+
|
| 47 |
+
=== Evaluating field: biology ===
|
| 48 |
+
{"field": "biology", "pairs_count": 236, "evaluated_count": 234, "skipped_count": 2, "correct_predictions": 0, "accuracy": 0.0}
|
| 49 |
+
|
| 50 |
+
=== Summary ===
|
| 51 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 252, "evaluated_pairs": 244, "skipped_pairs": 8, "elapsed_seconds": 1120.0978424549103, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 52 |
+
|
| 53 |
+
Results saved to:
|
| 54 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 55 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 56 |
+
|
| 57 |
+
=== Evaluating field: business ===
|
| 58 |
+
{"field": "business", "pairs_count": 300, "evaluated_count": 273, "skipped_count": 27, "correct_predictions": 0, "accuracy": 0.0}
|
| 59 |
+
|
| 60 |
+
=== Summary ===
|
| 61 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 552, "evaluated_pairs": 517, "skipped_pairs": 35, "elapsed_seconds": 1125.132886648178, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 62 |
+
|
| 63 |
+
Results saved to:
|
| 64 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 65 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 66 |
+
|
| 67 |
+
=== Evaluating field: chemistry ===
|
| 68 |
+
{"field": "chemistry", "pairs_count": 3000, "evaluated_count": 2904, "skipped_count": 96, "correct_predictions": 0, "accuracy": 0.0}
|
| 69 |
+
|
| 70 |
+
=== Summary ===
|
| 71 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 3552, "evaluated_pairs": 3421, "skipped_pairs": 131, "elapsed_seconds": 1177.0798032283783, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 72 |
+
|
| 73 |
+
Results saved to:
|
| 74 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 75 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 76 |
+
|
| 77 |
+
=== Evaluating field: computer_science ===
|
| 78 |
+
{"field": "computer_science", "pairs_count": 300, "evaluated_count": 276, "skipped_count": 24, "correct_predictions": 0, "accuracy": 0.0}
|
| 79 |
+
|
| 80 |
+
=== Summary ===
|
| 81 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 3852, "evaluated_pairs": 3697, "skipped_pairs": 155, "elapsed_seconds": 1183.3963692188263, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 82 |
+
|
| 83 |
+
Results saved to:
|
| 84 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 85 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 86 |
+
|
| 87 |
+
=== Evaluating field: csrankings ===
|
| 88 |
+
{"field": "csrankings", "pairs_count": 3000, "evaluated_count": 3000, "skipped_count": 0, "correct_predictions": 0, "accuracy": 0.0}
|
| 89 |
+
|
| 90 |
+
=== Summary ===
|
| 91 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 6852, "evaluated_pairs": 6697, "skipped_pairs": 155, "elapsed_seconds": 1227.7204132080078, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 92 |
+
|
| 93 |
+
Results saved to:
|
| 94 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 95 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 96 |
+
|
| 97 |
+
=== Evaluating field: economics ===
|
| 98 |
+
{"field": "economics", "pairs_count": 300, "evaluated_count": 289, "skipped_count": 11, "correct_predictions": 0, "accuracy": 0.0}
|
| 99 |
+
|
| 100 |
+
=== Summary ===
|
| 101 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 7152, "evaluated_pairs": 6986, "skipped_pairs": 166, "elapsed_seconds": 1234.3020334243774, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 102 |
+
|
| 103 |
+
Results saved to:
|
| 104 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 105 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 106 |
+
|
| 107 |
+
=== Evaluating field: engineering ===
|
| 108 |
+
{"field": "engineering", "pairs_count": 300, "evaluated_count": 297, "skipped_count": 3, "correct_predictions": 0, "accuracy": 0.0}
|
| 109 |
+
|
| 110 |
+
=== Summary ===
|
| 111 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 7452, "evaluated_pairs": 7283, "skipped_pairs": 169, "elapsed_seconds": 1240.2778580188751, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 112 |
+
|
| 113 |
+
Results saved to:
|
| 114 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 115 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 116 |
+
|
| 117 |
+
=== Evaluating field: environmental_science ===
|
| 118 |
+
{"field": "environmental_science", "pairs_count": 300, "evaluated_count": 291, "skipped_count": 9, "correct_predictions": 0, "accuracy": 0.0}
|
| 119 |
+
|
| 120 |
+
=== Summary ===
|
| 121 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 7752, "evaluated_pairs": 7574, "skipped_pairs": 178, "elapsed_seconds": 1247.9372725486755, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 122 |
+
|
| 123 |
+
Results saved to:
|
| 124 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 125 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 126 |
+
|
| 127 |
+
=== Evaluating field: geography ===
|
| 128 |
+
{"field": "geography", "pairs_count": 300, "evaluated_count": 275, "skipped_count": 25, "correct_predictions": 0, "accuracy": 0.0}
|
| 129 |
+
|
| 130 |
+
=== Summary ===
|
| 131 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 8052, "evaluated_pairs": 7849, "skipped_pairs": 203, "elapsed_seconds": 1254.4511790275574, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 132 |
+
|
| 133 |
+
Results saved to:
|
| 134 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 135 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 136 |
+
|
| 137 |
+
=== Evaluating field: geology ===
|
| 138 |
+
{"field": "geology", "pairs_count": 300, "evaluated_count": 274, "skipped_count": 26, "correct_predictions": 0, "accuracy": 0.0}
|
| 139 |
+
|
| 140 |
+
=== Summary ===
|
| 141 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 8352, "evaluated_pairs": 8123, "skipped_pairs": 229, "elapsed_seconds": 1262.8913946151733, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 142 |
+
|
| 143 |
+
Results saved to:
|
| 144 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 145 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 146 |
+
|
| 147 |
+
=== Evaluating field: history ===
|
| 148 |
+
{"field": "history", "pairs_count": 11, "evaluated_count": 6, "skipped_count": 5, "correct_predictions": 0, "accuracy": 0.0}
|
| 149 |
+
|
| 150 |
+
=== Summary ===
|
| 151 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 8363, "evaluated_pairs": 8129, "skipped_pairs": 234, "elapsed_seconds": 1264.1720833778381, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 152 |
+
|
| 153 |
+
Results saved to:
|
| 154 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 155 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 156 |
+
|
| 157 |
+
=== Evaluating field: materials_science ===
|
| 158 |
+
{"field": "materials_science", "pairs_count": 300, "evaluated_count": 283, "skipped_count": 17, "correct_predictions": 0, "accuracy": 0.0}
|
| 159 |
+
|
| 160 |
+
=== Summary ===
|
| 161 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 8663, "evaluated_pairs": 8412, "skipped_pairs": 251, "elapsed_seconds": 1270.2387118339539, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 162 |
+
|
| 163 |
+
Results saved to:
|
| 164 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 165 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 166 |
+
|
| 167 |
+
=== Evaluating field: mathematics ===
|
| 168 |
+
{"field": "mathematics", "pairs_count": 300, "evaluated_count": 286, "skipped_count": 14, "correct_predictions": 0, "accuracy": 0.0}
|
| 169 |
+
|
| 170 |
+
=== Summary ===
|
| 171 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 8963, "evaluated_pairs": 8698, "skipped_pairs": 265, "elapsed_seconds": 1274.7427108287811, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 172 |
+
|
| 173 |
+
Results saved to:
|
| 174 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 175 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 176 |
+
|
| 177 |
+
=== Evaluating field: medicine ===
|
| 178 |
+
{"field": "medicine", "pairs_count": 1207, "evaluated_count": 1076, "skipped_count": 131, "correct_predictions": 0, "accuracy": 0.0}
|
| 179 |
+
|
| 180 |
+
=== Summary ===
|
| 181 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 10170, "evaluated_pairs": 9774, "skipped_pairs": 396, "elapsed_seconds": 1301.1766953468323, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 182 |
+
|
| 183 |
+
Results saved to:
|
| 184 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 185 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 186 |
+
|
| 187 |
+
=== Evaluating field: philosophy ===
|
| 188 |
+
{"field": "philosophy", "pairs_count": 94, "evaluated_count": 64, "skipped_count": 30, "correct_predictions": 0, "accuracy": 0.0}
|
| 189 |
+
|
| 190 |
+
=== Summary ===
|
| 191 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 10264, "evaluated_pairs": 9838, "skipped_pairs": 426, "elapsed_seconds": 1302.559927225113, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 192 |
+
|
| 193 |
+
Results saved to:
|
| 194 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 195 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 196 |
+
|
| 197 |
+
=== Evaluating field: physics ===
|
| 198 |
+
{"field": "physics", "pairs_count": 3000, "evaluated_count": 2738, "skipped_count": 262, "correct_predictions": 0, "accuracy": 0.0}
|
| 199 |
+
|
| 200 |
+
=== Summary ===
|
| 201 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 13264, "evaluated_pairs": 12576, "skipped_pairs": 688, "elapsed_seconds": 1352.1071062088013, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 202 |
+
|
| 203 |
+
Results saved to:
|
| 204 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 205 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 206 |
+
|
| 207 |
+
=== Evaluating field: political_science ===
|
| 208 |
+
{"field": "political_science", "pairs_count": 159, "evaluated_count": 109, "skipped_count": 50, "correct_predictions": 0, "accuracy": 0.0}
|
| 209 |
+
|
| 210 |
+
=== Summary ===
|
| 211 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 13423, "evaluated_pairs": 12685, "skipped_pairs": 738, "elapsed_seconds": 1354.6393642425537, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 212 |
+
|
| 213 |
+
Results saved to:
|
| 214 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 215 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 216 |
+
|
| 217 |
+
=== Evaluating field: psychology ===
|
| 218 |
+
{"field": "psychology", "pairs_count": 175, "evaluated_count": 173, "skipped_count": 2, "correct_predictions": 0, "accuracy": 0.0}
|
| 219 |
+
|
| 220 |
+
=== Summary ===
|
| 221 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 13598, "evaluated_pairs": 12858, "skipped_pairs": 740, "elapsed_seconds": 1358.7999904155731, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 222 |
+
|
| 223 |
+
Results saved to:
|
| 224 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 225 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 226 |
+
|
| 227 |
+
=== Evaluating field: sociology ===
|
| 228 |
+
{"field": "sociology", "pairs_count": 300, "evaluated_count": 272, "skipped_count": 28, "correct_predictions": 0, "accuracy": 0.0}
|
| 229 |
+
|
| 230 |
+
=== Summary ===
|
| 231 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 13898, "evaluated_pairs": 13130, "skipped_pairs": 768, "elapsed_seconds": 1363.5515813827515, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 232 |
+
|
| 233 |
+
Results saved to:
|
| 234 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 235 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 236 |
+
|
| 237 |
+
=== Summary ===
|
| 238 |
+
{"overall_accuracy": 0.0, "other_fields_avg": 0.0, "total_pairs": 13898, "evaluated_pairs": 13130, "skipped_pairs": 768, "elapsed_seconds": 1363.6017982959747, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 239 |
+
|
| 240 |
+
Results saved to:
|
| 241 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 242 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
construct_citations_dataset/logs/llama32_all_fields_17084994.out
ADDED
|
@@ -0,0 +1,215 @@
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| 1 |
+
Initializing model backend...
|
| 2 |
+
INFO 11-14 05:56:41 [__init__.py:216] Automatically detected platform cuda.
|
| 3 |
+
INFO 11-14 06:00:59 [utils.py:233] non-default args: {'dtype': 'bfloat16', 'disable_log_stats': True, 'model': 'meta-llama/Llama-3.2-3B-Instruct'}
|
| 4 |
+
INFO 11-14 06:01:00 [model.py:547] Resolved architecture: LlamaForCausalLM
|
| 5 |
+
INFO 11-14 06:01:00 [model.py:1510] Using max model len 131072
|
| 6 |
+
INFO 11-14 06:01:19 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=8192.
|
| 7 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:01:22 [core.py:644] Waiting for init message from front-end.
|
| 8 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:01:22 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='meta-llama/Llama-3.2-3B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=131072, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-3B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
|
| 9 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 10 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 11 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 12 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 13 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 14 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 15 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:03:00 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
|
| 16 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m WARNING 11-14 06:03:00 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
|
| 17 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:03:01 [gpu_model_runner.py:2602] Starting to load model meta-llama/Llama-3.2-3B-Instruct...
|
| 18 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:03:01 [gpu_model_runner.py:2634] Loading model from scratch...
|
| 19 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:03:11 [cuda.py:366] Using Flash Attention backend on V1 engine.
|
| 20 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:03:14 [weight_utils.py:392] Using model weights format ['*.safetensors']
|
| 21 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:03:23 [default_loader.py:267] Loading weights took 8.04 seconds
|
| 22 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:03:23 [gpu_model_runner.py:2653] Model loading took 6.0160 GiB and 21.242849 seconds
|
| 23 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:16 [backends.py:548] Using cache directory: /home/hangxiao/.cache/vllm/torch_compile_cache/60631d1593/rank_0_0/backbone for vLLM's torch.compile
|
| 24 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:16 [backends.py:559] Dynamo bytecode transform time: 51.93 s
|
| 25 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:19 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 3.461 s
|
| 26 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:27 [monitor.py:34] torch.compile takes 51.93 s in total
|
| 27 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:34 [gpu_worker.py:298] Available KV cache memory: 28.18 GiB
|
| 28 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:35 [kv_cache_utils.py:1087] GPU KV cache size: 263,824 tokens
|
| 29 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:35 [kv_cache_utils.py:1091] Maximum concurrency for 131,072 tokens per request: 2.01x
|
| 30 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:43 [gpu_model_runner.py:3480] Graph capturing finished in 9 secs, took 2.57 GiB
|
| 31 |
+
[1;36m(EngineCore_DP0 pid=2511120)[0;0m INFO 11-14 06:04:43 [core.py:210] init engine (profile, create kv cache, warmup model) took 79.98 seconds
|
| 32 |
+
INFO 11-14 06:04:44 [llm.py:306] Supported_tasks: ['generate']
|
| 33 |
+
Backend initialized: local vLLM mode
|
| 34 |
+
|
| 35 |
+
=== Evaluating field: art ===
|
| 36 |
+
{"field": "art", "pairs_count": 16, "evaluated_count": 10, "skipped_count": 6, "correct_predictions": 5, "accuracy": 0.5}
|
| 37 |
+
|
| 38 |
+
=== Summary ===
|
| 39 |
+
{"overall_accuracy": 0.5, "other_fields_avg": 0.5, "total_pairs": 16, "evaluated_pairs": 10, "skipped_pairs": 6, "elapsed_seconds": 839.7419729232788, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 40 |
+
|
| 41 |
+
Results saved to:
|
| 42 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 43 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 44 |
+
|
| 45 |
+
=== Evaluating field: biology ===
|
| 46 |
+
{"field": "biology", "pairs_count": 236, "evaluated_count": 234, "skipped_count": 2, "correct_predictions": 104, "accuracy": 0.4444444444444444}
|
| 47 |
+
|
| 48 |
+
=== Summary ===
|
| 49 |
+
{"overall_accuracy": 0.44672131147540983, "other_fields_avg": 0.44672131147540983, "total_pairs": 252, "evaluated_pairs": 244, "skipped_pairs": 8, "elapsed_seconds": 864.1432301998138, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 50 |
+
|
| 51 |
+
Results saved to:
|
| 52 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 53 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 54 |
+
|
| 55 |
+
=== Evaluating field: business ===
|
| 56 |
+
{"field": "business", "pairs_count": 300, "evaluated_count": 273, "skipped_count": 27, "correct_predictions": 115, "accuracy": 0.42124542124542125}
|
| 57 |
+
|
| 58 |
+
=== Summary ===
|
| 59 |
+
{"overall_accuracy": 0.4332688588007737, "other_fields_avg": 0.4332688588007737, "total_pairs": 552, "evaluated_pairs": 517, "skipped_pairs": 35, "elapsed_seconds": 889.6564900875092, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 60 |
+
|
| 61 |
+
Results saved to:
|
| 62 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 63 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 64 |
+
|
| 65 |
+
=== Evaluating field: chemistry ===
|
| 66 |
+
{"field": "chemistry", "pairs_count": 3000, "evaluated_count": 2904, "skipped_count": 96, "correct_predictions": 1340, "accuracy": 0.46143250688705234}
|
| 67 |
+
|
| 68 |
+
=== Summary ===
|
| 69 |
+
{"overall_accuracy": 0.45717626425021923, "other_fields_avg": 0.4332688588007737, "total_pairs": 3552, "evaluated_pairs": 3421, "skipped_pairs": 131, "elapsed_seconds": 1164.3943011760712, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 70 |
+
|
| 71 |
+
Results saved to:
|
| 72 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 73 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 74 |
+
|
| 75 |
+
=== Evaluating field: computer_science ===
|
| 76 |
+
{"field": "computer_science", "pairs_count": 300, "evaluated_count": 276, "skipped_count": 24, "correct_predictions": 121, "accuracy": 0.4384057971014493}
|
| 77 |
+
|
| 78 |
+
=== Summary ===
|
| 79 |
+
{"overall_accuracy": 0.45577495266432244, "other_fields_avg": 0.43505674653215637, "total_pairs": 3852, "evaluated_pairs": 3697, "skipped_pairs": 155, "elapsed_seconds": 1212.1153643131256, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 80 |
+
|
| 81 |
+
Results saved to:
|
| 82 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 83 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 84 |
+
|
| 85 |
+
=== Evaluating field: csrankings ===
|
| 86 |
+
{"field": "csrankings", "pairs_count": 3000, "evaluated_count": 3000, "skipped_count": 0, "correct_predictions": 1447, "accuracy": 0.48233333333333334}
|
| 87 |
+
|
| 88 |
+
=== Summary ===
|
| 89 |
+
{"overall_accuracy": 0.46767209198148424, "other_fields_avg": 0.43505674653215637, "total_pairs": 6852, "evaluated_pairs": 6697, "skipped_pairs": 155, "elapsed_seconds": 1476.7207489013672, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 90 |
+
|
| 91 |
+
Results saved to:
|
| 92 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 93 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 94 |
+
|
| 95 |
+
=== Evaluating field: economics ===
|
| 96 |
+
{"field": "economics", "pairs_count": 300, "evaluated_count": 289, "skipped_count": 11, "correct_predictions": 122, "accuracy": 0.42214532871972316}
|
| 97 |
+
|
| 98 |
+
=== Summary ===
|
| 99 |
+
{"overall_accuracy": 0.4657887202977383, "other_fields_avg": 0.4316081330868762, "total_pairs": 7152, "evaluated_pairs": 6986, "skipped_pairs": 166, "elapsed_seconds": 1508.0365569591522, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 100 |
+
|
| 101 |
+
Results saved to:
|
| 102 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 103 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 104 |
+
|
| 105 |
+
=== Evaluating field: engineering ===
|
| 106 |
+
{"field": "engineering", "pairs_count": 300, "evaluated_count": 297, "skipped_count": 3, "correct_predictions": 121, "accuracy": 0.4074074074074074}
|
| 107 |
+
|
| 108 |
+
=== Summary ===
|
| 109 |
+
{"overall_accuracy": 0.4634079362899904, "other_fields_avg": 0.4263959390862944, "total_pairs": 7452, "evaluated_pairs": 7283, "skipped_pairs": 169, "elapsed_seconds": 1543.200355052948, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 110 |
+
|
| 111 |
+
Results saved to:
|
| 112 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 113 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 114 |
+
|
| 115 |
+
=== Evaluating field: environmental_science ===
|
| 116 |
+
{"field": "environmental_science", "pairs_count": 300, "evaluated_count": 291, "skipped_count": 9, "correct_predictions": 124, "accuracy": 0.4261168384879725}
|
| 117 |
+
|
| 118 |
+
=== Summary ===
|
| 119 |
+
{"overall_accuracy": 0.461975178241352, "other_fields_avg": 0.42634730538922155, "total_pairs": 7752, "evaluated_pairs": 7574, "skipped_pairs": 178, "elapsed_seconds": 1576.413726568222, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 120 |
+
|
| 121 |
+
Results saved to:
|
| 122 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 123 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 124 |
+
|
| 125 |
+
=== Evaluating field: geography ===
|
| 126 |
+
{"field": "geography", "pairs_count": 300, "evaluated_count": 275, "skipped_count": 25, "correct_predictions": 123, "accuracy": 0.44727272727272727}
|
| 127 |
+
|
| 128 |
+
=== Summary ===
|
| 129 |
+
{"overall_accuracy": 0.4614600586061919, "other_fields_avg": 0.42930591259640105, "total_pairs": 8052, "evaluated_pairs": 7849, "skipped_pairs": 203, "elapsed_seconds": 1604.767168521881, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 130 |
+
|
| 131 |
+
Results saved to:
|
| 132 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 133 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 134 |
+
|
| 135 |
+
=== Evaluating field: geology ===
|
| 136 |
+
{"field": "geology", "pairs_count": 300, "evaluated_count": 274, "skipped_count": 26, "correct_predictions": 113, "accuracy": 0.4124087591240876}
|
| 137 |
+
|
| 138 |
+
=== Summary ===
|
| 139 |
+
{"overall_accuracy": 0.4598054905822972, "other_fields_avg": 0.427219468228932, "total_pairs": 8352, "evaluated_pairs": 8123, "skipped_pairs": 229, "elapsed_seconds": 1636.7057263851166, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 140 |
+
|
| 141 |
+
Results saved to:
|
| 142 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 143 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 144 |
+
|
| 145 |
+
=== Evaluating field: history ===
|
| 146 |
+
{"field": "history", "pairs_count": 11, "evaluated_count": 6, "skipped_count": 5, "correct_predictions": 3, "accuracy": 0.5}
|
| 147 |
+
|
| 148 |
+
=== Summary ===
|
| 149 |
+
{"overall_accuracy": 0.4598351580760241, "other_fields_avg": 0.42741573033707864, "total_pairs": 8363, "evaluated_pairs": 8129, "skipped_pairs": 234, "elapsed_seconds": 1639.518140077591, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 150 |
+
|
| 151 |
+
Results saved to:
|
| 152 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 153 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 154 |
+
|
| 155 |
+
=== Evaluating field: materials_science ===
|
| 156 |
+
{"field": "materials_science", "pairs_count": 300, "evaluated_count": 283, "skipped_count": 17, "correct_predictions": 123, "accuracy": 0.43462897526501765}
|
| 157 |
+
|
| 158 |
+
=== Summary ===
|
| 159 |
+
{"overall_accuracy": 0.45898716119828814, "other_fields_avg": 0.42822966507177035, "total_pairs": 8663, "evaluated_pairs": 8412, "skipped_pairs": 251, "elapsed_seconds": 1670.2663216590881, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 160 |
+
|
| 161 |
+
Results saved to:
|
| 162 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 163 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 164 |
+
|
| 165 |
+
=== Evaluating field: mathematics ===
|
| 166 |
+
{"field": "mathematics", "pairs_count": 300, "evaluated_count": 286, "skipped_count": 14, "correct_predictions": 130, "accuracy": 0.45454545454545453}
|
| 167 |
+
|
| 168 |
+
=== Summary ===
|
| 169 |
+
{"overall_accuracy": 0.4588411128995171, "other_fields_avg": 0.4309234073013601, "total_pairs": 8963, "evaluated_pairs": 8698, "skipped_pairs": 265, "elapsed_seconds": 1695.6995193958282, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 170 |
+
|
| 171 |
+
Results saved to:
|
| 172 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 173 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 174 |
+
|
| 175 |
+
=== Evaluating field: medicine ===
|
| 176 |
+
{"field": "medicine", "pairs_count": 1207, "evaluated_count": 1076, "skipped_count": 131, "correct_predictions": 466, "accuracy": 0.43308550185873607}
|
| 177 |
+
|
| 178 |
+
=== Summary ===
|
| 179 |
+
{"overall_accuracy": 0.45600572948639245, "other_fields_avg": 0.4309234073013601, "total_pairs": 10170, "evaluated_pairs": 9774, "skipped_pairs": 396, "elapsed_seconds": 1804.3809909820557, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 180 |
+
|
| 181 |
+
Results saved to:
|
| 182 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 183 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 184 |
+
|
| 185 |
+
=== Evaluating field: philosophy ===
|
| 186 |
+
{"field": "philosophy", "pairs_count": 94, "evaluated_count": 64, "skipped_count": 30, "correct_predictions": 24, "accuracy": 0.375}
|
| 187 |
+
|
| 188 |
+
=== Summary ===
|
| 189 |
+
{"overall_accuracy": 0.4554787558446839, "other_fields_avg": 0.4296710986703989, "total_pairs": 10264, "evaluated_pairs": 9838, "skipped_pairs": 426, "elapsed_seconds": 1811.0320403575897, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 190 |
+
|
| 191 |
+
Results saved to:
|
| 192 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 193 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 194 |
+
|
| 195 |
+
=== Evaluating field: physics ===
|
| 196 |
+
{"field": "physics", "pairs_count": 3000, "evaluated_count": 2738, "skipped_count": 262, "correct_predictions": 1248, "accuracy": 0.4558071585098612}
|
| 197 |
+
|
| 198 |
+
=== Summary ===
|
| 199 |
+
{"overall_accuracy": 0.4555502544529262, "other_fields_avg": 0.4296710986703989, "total_pairs": 13264, "evaluated_pairs": 12576, "skipped_pairs": 688, "elapsed_seconds": 2063.4422767162323, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 200 |
+
|
| 201 |
+
Results saved to:
|
| 202 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 203 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 204 |
+
|
| 205 |
+
=== Evaluating field: political_science ===
|
| 206 |
+
{"field": "political_science", "pairs_count": 159, "evaluated_count": 109, "skipped_count": 50, "correct_predictions": 47, "accuracy": 0.43119266055045874}
|
| 207 |
+
|
| 208 |
+
=== Summary ===
|
| 209 |
+
{"overall_accuracy": 0.4553409538825384, "other_fields_avg": 0.42972699696663297, "total_pairs": 13423, "evaluated_pairs": 12685, "skipped_pairs": 738, "elapsed_seconds": 2077.501299381256, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 210 |
+
|
| 211 |
+
Results saved to:
|
| 212 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 213 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 214 |
+
|
| 215 |
+
=== Evaluating field: psychology ===
|
construct_citations_dataset/logs/llama32_all_fields_17085031.err
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
construct_citations_dataset/logs/llama32_all_fields_17085031.out
ADDED
|
@@ -0,0 +1,241 @@
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|
| 1 |
+
Initializing model backend...
|
| 2 |
+
INFO 11-14 06:51:57 [__init__.py:216] Automatically detected platform cuda.
|
| 3 |
+
INFO 11-14 06:52:13 [utils.py:233] non-default args: {'dtype': 'bfloat16', 'disable_log_stats': True, 'model': 'meta-llama/Llama-3.2-3B-Instruct'}
|
| 4 |
+
INFO 11-14 06:52:13 [model.py:547] Resolved architecture: LlamaForCausalLM
|
| 5 |
+
INFO 11-14 06:52:13 [model.py:1510] Using max model len 131072
|
| 6 |
+
INFO 11-14 06:52:15 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=8192.
|
| 7 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:15 [core.py:644] Waiting for init message from front-end.
|
| 8 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:15 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='meta-llama/Llama-3.2-3B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=131072, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-3B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
|
| 9 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 10 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 11 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 12 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 13 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 14 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 15 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:21 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
|
| 16 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m WARNING 11-14 06:52:22 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
|
| 17 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:22 [gpu_model_runner.py:2602] Starting to load model meta-llama/Llama-3.2-3B-Instruct...
|
| 18 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:22 [gpu_model_runner.py:2634] Loading model from scratch...
|
| 19 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:23 [cuda.py:366] Using Flash Attention backend on V1 engine.
|
| 20 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:24 [weight_utils.py:392] Using model weights format ['*.safetensors']
|
| 21 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:27 [weight_utils.py:413] Time spent downloading weights for meta-llama/Llama-3.2-3B-Instruct: 3.209494 seconds
|
| 22 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:31 [default_loader.py:267] Loading weights took 4.34 seconds
|
| 23 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:32 [gpu_model_runner.py:2653] Model loading took 6.0160 GiB and 9.142656 seconds
|
| 24 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:38 [backends.py:548] Using cache directory: /home/hangxiao/.cache/vllm/torch_compile_cache/60631d1593/rank_0_0/backbone for vLLM's torch.compile
|
| 25 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:40 [backends.py:559] Dynamo bytecode transform time: 8.21 s
|
| 26 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:42 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 1.860 s
|
| 27 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:45 [monitor.py:34] torch.compile takes 8.21 s in total
|
| 28 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:46 [gpu_worker.py:298] Available KV cache memory: 28.18 GiB
|
| 29 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:46 [kv_cache_utils.py:1087] GPU KV cache size: 263,824 tokens
|
| 30 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:46 [kv_cache_utils.py:1091] Maximum concurrency for 131,072 tokens per request: 2.01x
|
| 31 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:50 [gpu_model_runner.py:3480] Graph capturing finished in 4 secs, took 2.57 GiB
|
| 32 |
+
[1;36m(EngineCore_DP0 pid=2516255)[0;0m INFO 11-14 06:52:50 [core.py:210] init engine (profile, create kv cache, warmup model) took 17.90 seconds
|
| 33 |
+
INFO 11-14 06:52:51 [llm.py:306] Supported_tasks: ['generate']
|
| 34 |
+
Backend initialized: local vLLM mode
|
| 35 |
+
|
| 36 |
+
=== Evaluating field: art ===
|
| 37 |
+
{"field": "art", "pairs_count": 16, "evaluated_count": 10, "skipped_count": 6, "correct_predictions": 5, "accuracy": 0.5}
|
| 38 |
+
|
| 39 |
+
=== Summary ===
|
| 40 |
+
{"overall_accuracy": 0.5, "other_fields_avg": 0.5, "total_pairs": 16, "evaluated_pairs": 10, "skipped_pairs": 6, "elapsed_seconds": 93.70294451713562, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 41 |
+
|
| 42 |
+
Results saved to:
|
| 43 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 44 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 45 |
+
|
| 46 |
+
=== Evaluating field: biology ===
|
| 47 |
+
{"field": "biology", "pairs_count": 236, "evaluated_count": 234, "skipped_count": 2, "correct_predictions": 105, "accuracy": 0.44871794871794873}
|
| 48 |
+
|
| 49 |
+
=== Summary ===
|
| 50 |
+
{"overall_accuracy": 0.45081967213114754, "other_fields_avg": 0.45081967213114754, "total_pairs": 252, "evaluated_pairs": 244, "skipped_pairs": 8, "elapsed_seconds": 120.72280430793762, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 51 |
+
|
| 52 |
+
Results saved to:
|
| 53 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 54 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 55 |
+
|
| 56 |
+
=== Evaluating field: business ===
|
| 57 |
+
{"field": "business", "pairs_count": 300, "evaluated_count": 273, "skipped_count": 27, "correct_predictions": 116, "accuracy": 0.4249084249084249}
|
| 58 |
+
|
| 59 |
+
=== Summary ===
|
| 60 |
+
{"overall_accuracy": 0.437137330754352, "other_fields_avg": 0.437137330754352, "total_pairs": 552, "evaluated_pairs": 517, "skipped_pairs": 35, "elapsed_seconds": 149.06600332260132, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 61 |
+
|
| 62 |
+
Results saved to:
|
| 63 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 64 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 65 |
+
|
| 66 |
+
=== Evaluating field: chemistry ===
|
| 67 |
+
{"field": "chemistry", "pairs_count": 3000, "evaluated_count": 2904, "skipped_count": 96, "correct_predictions": 1320, "accuracy": 0.45454545454545453}
|
| 68 |
+
|
| 69 |
+
=== Summary ===
|
| 70 |
+
{"overall_accuracy": 0.4519146448406899, "other_fields_avg": 0.437137330754352, "total_pairs": 3552, "evaluated_pairs": 3421, "skipped_pairs": 131, "elapsed_seconds": 449.5413281917572, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 71 |
+
|
| 72 |
+
Results saved to:
|
| 73 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 74 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 75 |
+
|
| 76 |
+
=== Evaluating field: computer_science ===
|
| 77 |
+
{"field": "computer_science", "pairs_count": 300, "evaluated_count": 276, "skipped_count": 24, "correct_predictions": 125, "accuracy": 0.4528985507246377}
|
| 78 |
+
|
| 79 |
+
=== Summary ===
|
| 80 |
+
{"overall_accuracy": 0.45198809845820936, "other_fields_avg": 0.4426229508196721, "total_pairs": 3852, "evaluated_pairs": 3697, "skipped_pairs": 155, "elapsed_seconds": 489.47994327545166, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 81 |
+
|
| 82 |
+
Results saved to:
|
| 83 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 84 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 85 |
+
|
| 86 |
+
=== Evaluating field: csrankings ===
|
| 87 |
+
{"field": "csrankings", "pairs_count": 3000, "evaluated_count": 3000, "skipped_count": 0, "correct_predictions": 1432, "accuracy": 0.47733333333333333}
|
| 88 |
+
|
| 89 |
+
=== Summary ===
|
| 90 |
+
{"overall_accuracy": 0.4633417948335075, "other_fields_avg": 0.4426229508196721, "total_pairs": 6852, "evaluated_pairs": 6697, "skipped_pairs": 155, "elapsed_seconds": 750.5448341369629, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 91 |
+
|
| 92 |
+
Results saved to:
|
| 93 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 94 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 95 |
+
|
| 96 |
+
=== Evaluating field: economics ===
|
| 97 |
+
{"field": "economics", "pairs_count": 300, "evaluated_count": 289, "skipped_count": 11, "correct_predictions": 126, "accuracy": 0.4359861591695502}
|
| 98 |
+
|
| 99 |
+
=== Summary ===
|
| 100 |
+
{"overall_accuracy": 0.46221013455482396, "other_fields_avg": 0.4408502772643253, "total_pairs": 7152, "evaluated_pairs": 6986, "skipped_pairs": 166, "elapsed_seconds": 799.4278242588043, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 101 |
+
|
| 102 |
+
Results saved to:
|
| 103 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 104 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 105 |
+
|
| 106 |
+
=== Evaluating field: engineering ===
|
| 107 |
+
{"field": "engineering", "pairs_count": 300, "evaluated_count": 297, "skipped_count": 3, "correct_predictions": 122, "accuracy": 0.4107744107744108}
|
| 108 |
+
|
| 109 |
+
=== Summary ===
|
| 110 |
+
{"overall_accuracy": 0.4601125909652616, "other_fields_avg": 0.43437273386511965, "total_pairs": 7452, "evaluated_pairs": 7283, "skipped_pairs": 169, "elapsed_seconds": 831.3570599555969, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 111 |
+
|
| 112 |
+
Results saved to:
|
| 113 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 114 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 115 |
+
|
| 116 |
+
=== Evaluating field: environmental_science ===
|
| 117 |
+
{"field": "environmental_science", "pairs_count": 300, "evaluated_count": 291, "skipped_count": 9, "correct_predictions": 124, "accuracy": 0.4261168384879725}
|
| 118 |
+
|
| 119 |
+
=== Summary ===
|
| 120 |
+
{"overall_accuracy": 0.458806443094798, "other_fields_avg": 0.43293413173652695, "total_pairs": 7752, "evaluated_pairs": 7574, "skipped_pairs": 178, "elapsed_seconds": 865.1227753162384, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 121 |
+
|
| 122 |
+
Results saved to:
|
| 123 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 124 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 125 |
+
|
| 126 |
+
=== Evaluating field: geography ===
|
| 127 |
+
{"field": "geography", "pairs_count": 300, "evaluated_count": 275, "skipped_count": 25, "correct_predictions": 121, "accuracy": 0.44}
|
| 128 |
+
|
| 129 |
+
=== Summary ===
|
| 130 |
+
{"overall_accuracy": 0.45814753471779845, "other_fields_avg": 0.4339331619537275, "total_pairs": 8052, "evaluated_pairs": 7849, "skipped_pairs": 203, "elapsed_seconds": 893.6968739032745, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 131 |
+
|
| 132 |
+
Results saved to:
|
| 133 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 134 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 135 |
+
|
| 136 |
+
=== Evaluating field: geology ===
|
| 137 |
+
{"field": "geology", "pairs_count": 300, "evaluated_count": 274, "skipped_count": 26, "correct_predictions": 120, "accuracy": 0.43795620437956206}
|
| 138 |
+
|
| 139 |
+
=== Summary ===
|
| 140 |
+
{"overall_accuracy": 0.4574664532808076, "other_fields_avg": 0.43442992338891395, "total_pairs": 8352, "evaluated_pairs": 8123, "skipped_pairs": 229, "elapsed_seconds": 926.560468673706, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 141 |
+
|
| 142 |
+
Results saved to:
|
| 143 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 144 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 145 |
+
|
| 146 |
+
=== Evaluating field: history ===
|
| 147 |
+
{"field": "history", "pairs_count": 11, "evaluated_count": 6, "skipped_count": 5, "correct_predictions": 2, "accuracy": 0.3333333333333333}
|
| 148 |
+
|
| 149 |
+
=== Summary ===
|
| 150 |
+
{"overall_accuracy": 0.45737483085250336, "other_fields_avg": 0.4341573033707865, "total_pairs": 8363, "evaluated_pairs": 8129, "skipped_pairs": 234, "elapsed_seconds": 948.7785546779633, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 151 |
+
|
| 152 |
+
Results saved to:
|
| 153 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 154 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 155 |
+
|
| 156 |
+
=== Evaluating field: materials_science ===
|
| 157 |
+
{"field": "materials_science", "pairs_count": 300, "evaluated_count": 283, "skipped_count": 17, "correct_predictions": 119, "accuracy": 0.4204946996466431}
|
| 158 |
+
|
| 159 |
+
=== Summary ===
|
| 160 |
+
{"overall_accuracy": 0.45613409415121253, "other_fields_avg": 0.43261562998405106, "total_pairs": 8663, "evaluated_pairs": 8412, "skipped_pairs": 251, "elapsed_seconds": 982.0835039615631, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 161 |
+
|
| 162 |
+
Results saved to:
|
| 163 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 164 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 165 |
+
|
| 166 |
+
=== Evaluating field: mathematics ===
|
| 167 |
+
{"field": "mathematics", "pairs_count": 300, "evaluated_count": 286, "skipped_count": 14, "correct_predictions": 135, "accuracy": 0.47202797202797203}
|
| 168 |
+
|
| 169 |
+
=== Summary ===
|
| 170 |
+
{"overall_accuracy": 0.45665670269027364, "other_fields_avg": 0.4366499642090193, "total_pairs": 8963, "evaluated_pairs": 8698, "skipped_pairs": 265, "elapsed_seconds": 1007.3131546974182, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 171 |
+
|
| 172 |
+
Results saved to:
|
| 173 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 174 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 175 |
+
|
| 176 |
+
=== Evaluating field: medicine ===
|
| 177 |
+
{"field": "medicine", "pairs_count": 1207, "evaluated_count": 1076, "skipped_count": 131, "correct_predictions": 485, "accuracy": 0.4507434944237918}
|
| 178 |
+
|
| 179 |
+
=== Summary ===
|
| 180 |
+
{"overall_accuracy": 0.45600572948639245, "other_fields_avg": 0.4366499642090193, "total_pairs": 10170, "evaluated_pairs": 9774, "skipped_pairs": 396, "elapsed_seconds": 1115.6545042991638, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 181 |
+
|
| 182 |
+
Results saved to:
|
| 183 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 184 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 185 |
+
|
| 186 |
+
=== Evaluating field: philosophy ===
|
| 187 |
+
{"field": "philosophy", "pairs_count": 94, "evaluated_count": 64, "skipped_count": 30, "correct_predictions": 21, "accuracy": 0.328125}
|
| 188 |
+
|
| 189 |
+
=== Summary ===
|
| 190 |
+
{"overall_accuracy": 0.4551738158162228, "other_fields_avg": 0.43421973407977604, "total_pairs": 10264, "evaluated_pairs": 9838, "skipped_pairs": 426, "elapsed_seconds": 1121.8130276203156, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 191 |
+
|
| 192 |
+
Results saved to:
|
| 193 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 194 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 195 |
+
|
| 196 |
+
=== Evaluating field: physics ===
|
| 197 |
+
{"field": "physics", "pairs_count": 3000, "evaluated_count": 2738, "skipped_count": 262, "correct_predictions": 1254, "accuracy": 0.4579985390796202}
|
| 198 |
+
|
| 199 |
+
=== Summary ===
|
| 200 |
+
{"overall_accuracy": 0.45578880407124683, "other_fields_avg": 0.43421973407977604, "total_pairs": 13264, "evaluated_pairs": 12576, "skipped_pairs": 688, "elapsed_seconds": 1374.1832299232483, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 201 |
+
|
| 202 |
+
Results saved to:
|
| 203 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 204 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 205 |
+
|
| 206 |
+
=== Evaluating field: political_science ===
|
| 207 |
+
{"field": "political_science", "pairs_count": 159, "evaluated_count": 109, "skipped_count": 50, "correct_predictions": 52, "accuracy": 0.47706422018348627}
|
| 208 |
+
|
| 209 |
+
=== Summary ===
|
| 210 |
+
{"overall_accuracy": 0.45597162002365, "other_fields_avg": 0.435793731041456, "total_pairs": 13423, "evaluated_pairs": 12685, "skipped_pairs": 738, "elapsed_seconds": 1385.6184384822845, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 211 |
+
|
| 212 |
+
Results saved to:
|
| 213 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 214 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 215 |
+
|
| 216 |
+
=== Evaluating field: psychology ===
|
| 217 |
+
{"field": "psychology", "pairs_count": 175, "evaluated_count": 173, "skipped_count": 2, "correct_predictions": 73, "accuracy": 0.42196531791907516}
|
| 218 |
+
|
| 219 |
+
=== Summary ===
|
| 220 |
+
{"overall_accuracy": 0.4555140768393218, "other_fields_avg": 0.435031847133758, "total_pairs": 13598, "evaluated_pairs": 12858, "skipped_pairs": 740, "elapsed_seconds": 1403.0767452716827, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 221 |
+
|
| 222 |
+
Results saved to:
|
| 223 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 224 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 225 |
+
|
| 226 |
+
=== Evaluating field: sociology ===
|
| 227 |
+
{"field": "sociology", "pairs_count": 300, "evaluated_count": 272, "skipped_count": 28, "correct_predictions": 127, "accuracy": 0.46691176470588236}
|
| 228 |
+
|
| 229 |
+
=== Summary ===
|
| 230 |
+
{"overall_accuracy": 0.4557501904036558, "other_fields_avg": 0.43757327080890973, "total_pairs": 13898, "evaluated_pairs": 13130, "skipped_pairs": 768, "elapsed_seconds": 1449.6953837871552, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 231 |
+
|
| 232 |
+
Results saved to:
|
| 233 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 234 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 235 |
+
|
| 236 |
+
=== Summary ===
|
| 237 |
+
{"overall_accuracy": 0.4557501904036558, "other_fields_avg": 0.43757327080890973, "total_pairs": 13898, "evaluated_pairs": 13130, "skipped_pairs": 768, "elapsed_seconds": 1450.0533244609833, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 238 |
+
|
| 239 |
+
Results saved to:
|
| 240 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 241 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
construct_citations_dataset/logs/llama32_all_fields_17085236.err
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| 1 |
+
Initializing model backend...
|
| 2 |
+
INFO 11-14 08:34:29 [__init__.py:216] Automatically detected platform cuda.
|
| 3 |
+
INFO 11-14 08:38:47 [utils.py:233] non-default args: {'dtype': 'bfloat16', 'disable_log_stats': True, 'model': 'meta-llama/Llama-3.2-3B-Instruct'}
|
| 4 |
+
INFO 11-14 08:38:48 [model.py:547] Resolved architecture: LlamaForCausalLM
|
| 5 |
+
INFO 11-14 08:38:48 [model.py:1510] Using max model len 131072
|
| 6 |
+
INFO 11-14 08:39:19 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=8192.
|
| 7 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:39:22 [core.py:644] Waiting for init message from front-end.
|
| 8 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:39:22 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='meta-llama/Llama-3.2-3B-Instruct', speculative_config=None, tokenizer='meta-llama/Llama-3.2-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=131072, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=meta-llama/Llama-3.2-3B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
|
| 9 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 10 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 11 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 12 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 13 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 14 |
+
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
|
| 15 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:22 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
|
| 16 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m WARNING 11-14 08:41:23 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
|
| 17 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:23 [gpu_model_runner.py:2602] Starting to load model meta-llama/Llama-3.2-3B-Instruct...
|
| 18 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:24 [gpu_model_runner.py:2634] Loading model from scratch...
|
| 19 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:33 [cuda.py:366] Using Flash Attention backend on V1 engine.
|
| 20 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:34 [weight_utils.py:392] Using model weights format ['*.safetensors']
|
| 21 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:34 [weight_utils.py:413] Time spent downloading weights for meta-llama/Llama-3.2-3B-Instruct: 0.619730 seconds
|
| 22 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:45 [default_loader.py:267] Loading weights took 10.39 seconds
|
| 23 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:41:46 [gpu_model_runner.py:2653] Model loading took 6.0160 GiB and 21.268239 seconds
|
| 24 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:43:37 [backends.py:548] Using cache directory: /home/hangxiao/.cache/vllm/torch_compile_cache/60631d1593/rank_0_0/backbone for vLLM's torch.compile
|
| 25 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:43:37 [backends.py:559] Dynamo bytecode transform time: 110.90 s
|
| 26 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:43:42 [backends.py:164] Directly load the compiled graph(s) for dynamic shape from the cache, took 5.005 s
|
| 27 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:43:51 [monitor.py:34] torch.compile takes 110.90 s in total
|
| 28 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:43:59 [gpu_worker.py:298] Available KV cache memory: 28.18 GiB
|
| 29 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:43:59 [kv_cache_utils.py:1087] GPU KV cache size: 263,824 tokens
|
| 30 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:43:59 [kv_cache_utils.py:1091] Maximum concurrency for 131,072 tokens per request: 2.01x
|
| 31 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:44:10 [gpu_model_runner.py:3480] Graph capturing finished in 11 secs, took 2.57 GiB
|
| 32 |
+
[1;36m(EngineCore_DP0 pid=2787799)[0;0m INFO 11-14 08:44:10 [core.py:210] init engine (profile, create kv cache, warmup model) took 144.44 seconds
|
| 33 |
+
INFO 11-14 08:44:11 [llm.py:306] Supported_tasks: ['generate']
|
| 34 |
+
Backend initialized: local vLLM mode
|
| 35 |
+
|
| 36 |
+
=== Evaluating field: art ===
|
| 37 |
+
{"field": "art", "pairs_count": 10, "evaluated_count": 10, "skipped_count": 0, "correct_predictions": 4, "accuracy": 0.4}
|
| 38 |
+
|
| 39 |
+
=== Summary ===
|
| 40 |
+
{"overall_accuracy": 0.4, "other_fields_avg": 0.4, "total_pairs": 10, "evaluated_pairs": 10, "skipped_pairs": 0, "elapsed_seconds": 1090.6125395298004, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 41 |
+
|
| 42 |
+
Results saved to:
|
| 43 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 44 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 45 |
+
|
| 46 |
+
=== Evaluating field: biology ===
|
| 47 |
+
{"field": "biology", "pairs_count": 234, "evaluated_count": 234, "skipped_count": 0, "correct_predictions": 106, "accuracy": 0.452991452991453}
|
| 48 |
+
|
| 49 |
+
=== Summary ===
|
| 50 |
+
{"overall_accuracy": 0.45081967213114754, "other_fields_avg": 0.45081967213114754, "total_pairs": 244, "evaluated_pairs": 244, "skipped_pairs": 0, "elapsed_seconds": 1114.9830701351166, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 51 |
+
|
| 52 |
+
Results saved to:
|
| 53 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 54 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 55 |
+
|
| 56 |
+
=== Evaluating field: business ===
|
| 57 |
+
{"field": "business", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 139, "accuracy": 0.4633333333333333}
|
| 58 |
+
|
| 59 |
+
=== Summary ===
|
| 60 |
+
{"overall_accuracy": 0.4577205882352941, "other_fields_avg": 0.4577205882352941, "total_pairs": 544, "evaluated_pairs": 544, "skipped_pairs": 0, "elapsed_seconds": 1142.7493069171906, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 61 |
+
|
| 62 |
+
Results saved to:
|
| 63 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 64 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 65 |
+
|
| 66 |
+
=== Evaluating field: chemistry ===
|
| 67 |
+
{"field": "chemistry", "pairs_count": 3000, "evaluated_count": 3000, "skipped_count": 0, "correct_predictions": 1373, "accuracy": 0.45766666666666667}
|
| 68 |
+
|
| 69 |
+
=== Summary ===
|
| 70 |
+
{"overall_accuracy": 0.45767494356659144, "other_fields_avg": 0.4577205882352941, "total_pairs": 3544, "evaluated_pairs": 3544, "skipped_pairs": 0, "elapsed_seconds": 1424.0304100513458, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 71 |
+
|
| 72 |
+
Results saved to:
|
| 73 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 74 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 75 |
+
|
| 76 |
+
=== Evaluating field: computer_science ===
|
| 77 |
+
{"field": "computer_science", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 137, "accuracy": 0.45666666666666667}
|
| 78 |
+
|
| 79 |
+
=== Summary ===
|
| 80 |
+
{"overall_accuracy": 0.4575962539021852, "other_fields_avg": 0.45734597156398105, "total_pairs": 3844, "evaluated_pairs": 3844, "skipped_pairs": 0, "elapsed_seconds": 1452.7509987354279, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 81 |
+
|
| 82 |
+
Results saved to:
|
| 83 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 84 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 85 |
+
|
| 86 |
+
=== Evaluating field: csrankings ===
|
| 87 |
+
{"field": "csrankings", "pairs_count": 3000, "evaluated_count": 3000, "skipped_count": 0, "correct_predictions": 1427, "accuracy": 0.4756666666666667}
|
| 88 |
+
|
| 89 |
+
=== Summary ===
|
| 90 |
+
{"overall_accuracy": 0.46551724137931033, "other_fields_avg": 0.45734597156398105, "total_pairs": 6844, "evaluated_pairs": 6844, "skipped_pairs": 0, "elapsed_seconds": 1717.5097007751465, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 91 |
+
|
| 92 |
+
Results saved to:
|
| 93 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 94 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 95 |
+
|
| 96 |
+
=== Evaluating field: economics ===
|
| 97 |
+
{"field": "economics", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 131, "accuracy": 0.43666666666666665}
|
| 98 |
+
|
| 99 |
+
=== Summary ===
|
| 100 |
+
{"overall_accuracy": 0.4643057110862262, "other_fields_avg": 0.4519230769230769, "total_pairs": 7144, "evaluated_pairs": 7144, "skipped_pairs": 0, "elapsed_seconds": 1758.3610062599182, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 101 |
+
|
| 102 |
+
Results saved to:
|
| 103 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 104 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 105 |
+
|
| 106 |
+
=== Evaluating field: engineering ===
|
| 107 |
+
{"field": "engineering", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 126, "accuracy": 0.42}
|
| 108 |
+
|
| 109 |
+
=== Summary ===
|
| 110 |
+
{"overall_accuracy": 0.46252015045674366, "other_fields_avg": 0.4452908587257618, "total_pairs": 7444, "evaluated_pairs": 7444, "skipped_pairs": 0, "elapsed_seconds": 1820.6091113090515, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 111 |
+
|
| 112 |
+
Results saved to:
|
| 113 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 114 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 115 |
+
|
| 116 |
+
=== Evaluating field: environmental_science ===
|
| 117 |
+
{"field": "environmental_science", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 127, "accuracy": 0.42333333333333334}
|
| 118 |
+
|
| 119 |
+
=== Summary ===
|
| 120 |
+
{"overall_accuracy": 0.4610020661157025, "other_fields_avg": 0.4415137614678899, "total_pairs": 7744, "evaluated_pairs": 7744, "skipped_pairs": 0, "elapsed_seconds": 1870.495677471161, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 121 |
+
|
| 122 |
+
Results saved to:
|
| 123 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 124 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 125 |
+
|
| 126 |
+
=== Evaluating field: geography ===
|
| 127 |
+
{"field": "geography", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 129, "accuracy": 0.43}
|
| 128 |
+
|
| 129 |
+
=== Summary ===
|
| 130 |
+
{"overall_accuracy": 0.4598458478368971, "other_fields_avg": 0.4398238747553816, "total_pairs": 8044, "evaluated_pairs": 8044, "skipped_pairs": 0, "elapsed_seconds": 1918.4400174617767, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 131 |
+
|
| 132 |
+
Results saved to:
|
| 133 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 134 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 135 |
+
|
| 136 |
+
=== Evaluating field: geology ===
|
| 137 |
+
{"field": "geology", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 129, "accuracy": 0.43}
|
| 138 |
+
|
| 139 |
+
=== Summary ===
|
| 140 |
+
{"overall_accuracy": 0.45877277085330775, "other_fields_avg": 0.43856655290102387, "total_pairs": 8344, "evaluated_pairs": 8344, "skipped_pairs": 0, "elapsed_seconds": 1960.036169052124, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 141 |
+
|
| 142 |
+
Results saved to:
|
| 143 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 144 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 145 |
+
|
| 146 |
+
=== Evaluating field: history ===
|
| 147 |
+
{"field": "history", "pairs_count": 6, "evaluated_count": 6, "skipped_count": 0, "correct_predictions": 1, "accuracy": 0.16666666666666666}
|
| 148 |
+
|
| 149 |
+
=== Summary ===
|
| 150 |
+
{"overall_accuracy": 0.458562874251497, "other_fields_avg": 0.4378723404255319, "total_pairs": 8350, "evaluated_pairs": 8350, "skipped_pairs": 0, "elapsed_seconds": 1963.0157434940338, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 151 |
+
|
| 152 |
+
Results saved to:
|
| 153 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 154 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 155 |
+
|
| 156 |
+
=== Evaluating field: materials_science ===
|
| 157 |
+
{"field": "materials_science", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 134, "accuracy": 0.44666666666666666}
|
| 158 |
+
|
| 159 |
+
=== Summary ===
|
| 160 |
+
{"overall_accuracy": 0.45815028901734106, "other_fields_avg": 0.43886792452830187, "total_pairs": 8650, "evaluated_pairs": 8650, "skipped_pairs": 0, "elapsed_seconds": 1992.1479604244232, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 161 |
+
|
| 162 |
+
Results saved to:
|
| 163 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 164 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 165 |
+
|
| 166 |
+
=== Evaluating field: mathematics ===
|
| 167 |
+
{"field": "mathematics", "pairs_count": 289, "evaluated_count": 289, "skipped_count": 0, "correct_predictions": 128, "accuracy": 0.4429065743944637}
|
| 168 |
+
|
| 169 |
+
=== Summary ===
|
| 170 |
+
{"overall_accuracy": 0.4576574560912854, "other_fields_avg": 0.43926505614154476, "total_pairs": 8939, "evaluated_pairs": 8939, "skipped_pairs": 0, "elapsed_seconds": 2019.7863750457764, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 171 |
+
|
| 172 |
+
Results saved to:
|
| 173 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 174 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 175 |
+
|
| 176 |
+
=== Evaluating field: medicine ===
|
| 177 |
+
{"field": "medicine", "pairs_count": 1076, "evaluated_count": 1076, "skipped_count": 0, "correct_predictions": 485, "accuracy": 0.4507434944237918}
|
| 178 |
+
|
| 179 |
+
=== Summary ===
|
| 180 |
+
{"overall_accuracy": 0.4569146280579131, "other_fields_avg": 0.43926505614154476, "total_pairs": 10015, "evaluated_pairs": 10015, "skipped_pairs": 0, "elapsed_seconds": 2128.492067337036, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 181 |
+
|
| 182 |
+
Results saved to:
|
| 183 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 184 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 185 |
+
|
| 186 |
+
=== Evaluating field: philosophy ===
|
| 187 |
+
{"field": "philosophy", "pairs_count": 64, "evaluated_count": 64, "skipped_count": 0, "correct_predictions": 29, "accuracy": 0.453125}
|
| 188 |
+
|
| 189 |
+
=== Summary ===
|
| 190 |
+
{"overall_accuracy": 0.45689056454013294, "other_fields_avg": 0.43956043956043955, "total_pairs": 10079, "evaluated_pairs": 10079, "skipped_pairs": 0, "elapsed_seconds": 2134.958039045334, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 191 |
+
|
| 192 |
+
Results saved to:
|
| 193 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 194 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 195 |
+
|
| 196 |
+
=== Evaluating field: physics ===
|
| 197 |
+
{"field": "physics", "pairs_count": 3000, "evaluated_count": 3000, "skipped_count": 0, "correct_predictions": 1378, "accuracy": 0.4593333333333333}
|
| 198 |
+
|
| 199 |
+
=== Summary ===
|
| 200 |
+
{"overall_accuracy": 0.4574508754491934, "other_fields_avg": 0.43956043956043955, "total_pairs": 13079, "evaluated_pairs": 13079, "skipped_pairs": 0, "elapsed_seconds": 2411.0561187267303, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 201 |
+
|
| 202 |
+
Results saved to:
|
| 203 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 204 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 205 |
+
|
| 206 |
+
=== Evaluating field: political_science ===
|
| 207 |
+
{"field": "political_science", "pairs_count": 109, "evaluated_count": 109, "skipped_count": 0, "correct_predictions": 46, "accuracy": 0.42201834862385323}
|
| 208 |
+
|
| 209 |
+
=== Summary ===
|
| 210 |
+
{"overall_accuracy": 0.45715802244464665, "other_fields_avg": 0.4389460154241645, "total_pairs": 13188, "evaluated_pairs": 13188, "skipped_pairs": 0, "elapsed_seconds": 2424.191426038742, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 211 |
+
|
| 212 |
+
Results saved to:
|
| 213 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 214 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 215 |
+
|
| 216 |
+
=== Evaluating field: psychology ===
|
| 217 |
+
{"field": "psychology", "pairs_count": 173, "evaluated_count": 173, "skipped_count": 0, "correct_predictions": 71, "accuracy": 0.41040462427745666}
|
| 218 |
+
|
| 219 |
+
=== Summary ===
|
| 220 |
+
{"overall_accuracy": 0.4565526532445176, "other_fields_avg": 0.4374429223744292, "total_pairs": 13361, "evaluated_pairs": 13361, "skipped_pairs": 0, "elapsed_seconds": 2441.727566242218, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 221 |
+
|
| 222 |
+
Results saved to:
|
| 223 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 224 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 225 |
+
|
| 226 |
+
=== Evaluating field: sociology ===
|
| 227 |
+
{"field": "sociology", "pairs_count": 300, "evaluated_count": 300, "skipped_count": 0, "correct_predictions": 140, "accuracy": 0.4666666666666667}
|
| 228 |
+
|
| 229 |
+
=== Summary ===
|
| 230 |
+
{"overall_accuracy": 0.4567747602664519, "other_fields_avg": 0.4398884239888424, "total_pairs": 13661, "evaluated_pairs": 13661, "skipped_pairs": 0, "elapsed_seconds": 2470.352613925934, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 231 |
+
|
| 232 |
+
Results saved to:
|
| 233 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 234 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|
| 235 |
+
|
| 236 |
+
=== Summary ===
|
| 237 |
+
{"overall_accuracy": 0.4567747602664519, "other_fields_avg": 0.4398884239888424, "total_pairs": 13661, "evaluated_pairs": 13661, "skipped_pairs": 0, "elapsed_seconds": 2470.672971010208, "model_name": "meta-llama/Llama-3.2-3B-Instruct", "api_base": "http://127.0.0.1:8000/v1", "backend_mode": "local_vllm", "large_fields_excluded": ["chemistry", "csrankings", "medicine", "physics"]}
|
| 238 |
+
|
| 239 |
+
Results saved to:
|
| 240 |
+
Summary: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_results.json
|
| 241 |
+
Details: /scratch/user/hangxiao/paper_impact/construct_citations_dataset/llama32_all_fields_predictions.jsonl
|