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  1. .gitattributes +4 -0
  2. beir_output/arguana.csv +8 -0
  3. beir_output/arguana.json +86 -0
  4. beir_output/beir.json +22 -0
  5. beir_output/bioasq.csv +8 -0
  6. beir_output/bioasq.json +86 -0
  7. beir_output/climate-fever.csv +8 -0
  8. beir_output/climate-fever.json +86 -0
  9. beir_output/cqadupstack.csv +8 -0
  10. beir_output/cqadupstack.json +86 -0
  11. beir_output/dbpedia-entity.csv +8 -0
  12. beir_output/dbpedia-entity.json +86 -0
  13. beir_output/fever.csv +8 -0
  14. beir_output/fever.json +86 -0
  15. beir_output/fiqa.csv +8 -0
  16. beir_output/fiqa.json +86 -0
  17. beir_output/hotpotqa.csv +8 -0
  18. beir_output/hotpotqa.json +86 -0
  19. beir_output/msmarco.csv +8 -0
  20. beir_output/msmarco.json +86 -0
  21. beir_output/nfcorpus.csv +8 -0
  22. beir_output/nfcorpus.json +86 -0
  23. beir_output/nq.csv +8 -0
  24. beir_output/nq.json +86 -0
  25. beir_output/quora.csv +8 -0
  26. beir_output/quora.json +86 -0
  27. beir_output/robust04.csv +8 -0
  28. beir_output/robust04.json +86 -0
  29. beir_output/scidocs.csv +8 -0
  30. beir_output/scidocs.json +86 -0
  31. beir_output/scifact.csv +8 -0
  32. beir_output/scifact.json +86 -0
  33. beir_output/senteval-core.json +5 -0
  34. beir_output/senteval.json +99 -0
  35. beir_output/signal1m.csv +8 -0
  36. beir_output/signal1m.json +86 -0
  37. beir_output/trec-covid.csv +8 -0
  38. beir_output/trec-covid.json +86 -0
  39. beir_output/trec-news.csv +8 -0
  40. beir_output/trec-news.json +86 -0
  41. beir_output/webis-touche2020.csv +8 -0
  42. beir_output/webis-touche2020.json +86 -0
  43. cc.moco.RC20+T0gen.bs2048.gpu8.sh +29 -0
  44. eval_output/.DS_Store +0 -0
  45. eval_output/checkpoint-100000/arguana.csv +8 -0
  46. eval_output/checkpoint-100000/arguana.json +86 -0
  47. eval_output/checkpoint-100000/beir.json +46 -0
  48. eval_output/checkpoint-100000/cqadupstack.csv +8 -0
  49. eval_output/checkpoint-100000/cqadupstack.json +86 -0
  50. eval_output/checkpoint-100000/fiqa.csv +8 -0
.gitattributes CHANGED
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beir_output/bioasq.csv ADDED
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beir_output/fever.csv ADDED
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beir_output/fever.json ADDED
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beir_output/fiqa.csv ADDED
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1
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beir_output/fiqa.json ADDED
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beir_output/hotpotqa.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.67468,0.52395,0.54891,0.57114,0.58641,0.59991,0.60679,0.61274,0.62304
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beir_output/hotpotqa.json ADDED
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1
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beir_output/msmarco.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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+ hole,0.89384,0.91901,0.93547,0.95554,0.9716,0.98513,0.99115,0.99467,0.99799
beir_output/msmarco.json ADDED
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1
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beir_output/nfcorpus.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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beir_output/nfcorpus.json ADDED
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1
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beir_output/nq.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.16541,0.24441,0.28439,0.32677,0.36009,0.38753,0.39991,0.40832,0.41645
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beir_output/nq.json ADDED
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1
+ {
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beir_output/quora.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.6939,0.75303,0.77367,0.79323,0.80502,0.81293,0.81587,0.81726,0.81869
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beir_output/quora.json ADDED
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1
+ {
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beir_output/robust04.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.46988,0.42346,0.40392,0.37855,0.34462,0.3295,0.33976,0.36572,0.44216
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+ "R_cap@20": 0.21636,
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+ "R_cap@50": 0.24354,
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+ "R_cap@100": 0.3144,
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+ "R_cap@200": 0.37994,
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+ "R_cap@1000": 0.53162
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+ },
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+ "hole": {
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+ "Hole@200": 0.96026,
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+ "Hole@1000": 0.98773
84
+ }
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+ }
86
+ }
beir_output/trec-covid.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.7,0.64112,0.62447,0.5952,0.56185,0.51107,0.44272,0.38211,0.41141
3
+ map,0.00201,0.00525,0.00836,0.01472,0.02487,0.04932,0.0767,0.11208,0.1907
4
+ precision,0.74,0.68667,0.68,0.642,0.6,0.5432,0.4574,0.3799,0.1902
5
+ recall,0.00201,0.00559,0.00921,0.01686,0.02999,0.06511,0.10661,0.17003,0.39328
6
+ mrr,0.74,0.81,0.81,0.81667,0.81833,0.81987,0.81987,0.81987,0.81987
7
+ recall_cap,0.74,0.68667,0.68,0.642,0.6,0.5432,0.4574,0.38332,0.39489
8
+ hole,0.06,0.10667,0.096,0.112,0.142,0.1736,0.2218,0.2779,0.40066
beir_output/trec-covid.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "trec-covid",
3
+ "split": "test",
4
+ "metric": "dot",
5
+ "norm_query": false,
6
+ "norm_doc": false,
7
+ "scores": {
8
+ "ndcg": {
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+ "NDCG@1": 0.7,
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+ "NDCG@1000": 0.41141
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+ },
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+ "map": {
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+ "MAP@10": 0.01472,
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+ },
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31
+ "P@1": 0.74,
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+ "P@3": 0.68667,
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+ "P@200": 0.3799,
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+ "P@1000": 0.1902
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+ },
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+ "recall": {
42
+ "Recall@1": 0.00201,
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+ "Recall@3": 0.00559,
44
+ "Recall@5": 0.00921,
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+ "Recall@10": 0.01686,
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+ "Recall@20": 0.02999,
47
+ "Recall@50": 0.06511,
48
+ "Recall@100": 0.10661,
49
+ "Recall@200": 0.17003,
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+ "Recall@1000": 0.39328
51
+ },
52
+ "mrr": {
53
+ "MRR@1": 0.74,
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+ "MRR@3": 0.81,
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+ "MRR@5": 0.81,
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+ "MRR@10": 0.81667,
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+ "MRR@20": 0.81833,
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+ "MRR@50": 0.81987,
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+ "MRR@100": 0.81987,
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+ "MRR@200": 0.81987,
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+ "MRR@1000": 0.81987
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+ },
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+ "recall_cap": {
64
+ "R_cap@1": 0.74,
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+ "R_cap@3": 0.68667,
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+ "R_cap@5": 0.68,
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+ "R_cap@10": 0.642,
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+ "R_cap@20": 0.6,
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+ "R_cap@50": 0.5432,
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+ "R_cap@100": 0.4574,
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+ "R_cap@200": 0.38332,
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+ "R_cap@1000": 0.39489
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+ },
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+ "hole": {
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+ "Hole@1": 0.06,
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+ "Hole@3": 0.10667,
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+ "Hole@5": 0.096,
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+ "Hole@20": 0.142,
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+ "Hole@200": 0.2779,
83
+ "Hole@1000": 0.40066
84
+ }
85
+ }
86
+ }
beir_output/trec-news.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.46637,0.43713,0.41289,0.38759,0.38587,0.40476,0.43898,0.4869,0.56665
3
+ map,0.01676,0.04315,0.06103,0.09603,0.14065,0.19425,0.22906,0.25123,0.2717
4
+ precision,0.5614,0.5614,0.50175,0.44386,0.39211,0.27825,0.20316,0.13377,0.04098
5
+ recall,0.01676,0.05255,0.07592,0.13518,0.22371,0.36683,0.47626,0.59333,0.80739
6
+ mrr,0.5614,0.68129,0.68129,0.68891,0.69272,0.69413,0.69413,0.69413,0.69419
7
+ recall_cap,0.5614,0.5614,0.50175,0.44827,0.43106,0.42833,0.48689,0.59385,0.80739
8
+ hole,0.17544,0.15789,0.22105,0.26316,0.31404,0.42175,0.52298,0.62807,0.82446
beir_output/trec-news.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "trec-news",
3
+ "split": "test",
4
+ "metric": "dot",
5
+ "norm_query": false,
6
+ "norm_doc": false,
7
+ "scores": {
8
+ "ndcg": {
9
+ "NDCG@1": 0.46637,
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+ "NDCG@100": 0.43898,
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+ "NDCG@200": 0.4869,
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+ "NDCG@1000": 0.56665
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+ },
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+ "map": {
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+ "MAP@1": 0.01676,
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+ "MAP@3": 0.04315,
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+ "MAP@5": 0.06103,
23
+ "MAP@10": 0.09603,
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+ "MAP@50": 0.19425,
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+ "MAP@100": 0.22906,
27
+ "MAP@200": 0.25123,
28
+ "MAP@1000": 0.2717
29
+ },
30
+ "precision": {
31
+ "P@1": 0.5614,
32
+ "P@3": 0.5614,
33
+ "P@5": 0.50175,
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+ "P@10": 0.44386,
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36
+ "P@50": 0.27825,
37
+ "P@100": 0.20316,
38
+ "P@200": 0.13377,
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+ "P@1000": 0.04098
40
+ },
41
+ "recall": {
42
+ "Recall@1": 0.01676,
43
+ "Recall@3": 0.05255,
44
+ "Recall@5": 0.07592,
45
+ "Recall@10": 0.13518,
46
+ "Recall@20": 0.22371,
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+ "Recall@50": 0.36683,
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+ "Recall@100": 0.47626,
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+ "Recall@200": 0.59333,
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+ "Recall@1000": 0.80739
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+ },
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+ "mrr": {
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+ "MRR@1": 0.5614,
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+ "MRR@3": 0.68129,
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+ "MRR@5": 0.68129,
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+ "MRR@10": 0.68891,
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+ "MRR@20": 0.69272,
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+ "MRR@50": 0.69413,
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+ "MRR@100": 0.69413,
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+ "MRR@200": 0.69413,
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+ "MRR@1000": 0.69419
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+ },
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+ "recall_cap": {
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+ "R_cap@1": 0.5614,
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+ "R_cap@3": 0.5614,
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+ "R_cap@5": 0.50175,
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+ "R_cap@10": 0.44827,
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+ "R_cap@20": 0.43106,
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+ "R_cap@1000": 0.80739
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+ },
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+ "hole": {
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+ "Hole@200": 0.62807,
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+ "Hole@1000": 0.82446
84
+ }
85
+ }
86
+ }
beir_output/webis-touche2020.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.16327,0.16309,0.17653,0.17834,0.20454,0.2582,0.29732,0.34312,0.42448
3
+ map,0.01566,0.02856,0.04376,0.06659,0.09003,0.11035,0.11912,0.12706,0.13481
4
+ precision,0.16327,0.17007,0.18776,0.16939,0.14184,0.09469,0.06429,0.04378,0.01461
5
+ recall,0.01566,0.04171,0.07486,0.13628,0.21481,0.32919,0.41812,0.54051,0.79752
6
+ mrr,0.16327,0.28571,0.31531,0.33861,0.34451,0.34736,0.34758,0.34758,0.3478
7
+ recall_cap,0.16327,0.17007,0.18776,0.18882,0.21937,0.32919,0.41812,0.54051,0.79752
8
+ hole,0.79592,0.78231,0.77551,0.78776,0.81429,0.86163,0.90224,0.93,0.96904
beir_output/webis-touche2020.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "webis-touche2020",
3
+ "split": "test",
4
+ "metric": "dot",
5
+ "norm_query": false,
6
+ "norm_doc": false,
7
+ "scores": {
8
+ "ndcg": {
9
+ "NDCG@1": 0.16327,
10
+ "NDCG@3": 0.16309,
11
+ "NDCG@5": 0.17653,
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+ "NDCG@50": 0.2582,
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+ "NDCG@100": 0.29732,
16
+ "NDCG@200": 0.34312,
17
+ "NDCG@1000": 0.42448
18
+ },
19
+ "map": {
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+ "MAP@1": 0.01566,
21
+ "MAP@3": 0.02856,
22
+ "MAP@5": 0.04376,
23
+ "MAP@10": 0.06659,
24
+ "MAP@20": 0.09003,
25
+ "MAP@50": 0.11035,
26
+ "MAP@100": 0.11912,
27
+ "MAP@200": 0.12706,
28
+ "MAP@1000": 0.13481
29
+ },
30
+ "precision": {
31
+ "P@1": 0.16327,
32
+ "P@3": 0.17007,
33
+ "P@5": 0.18776,
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+ "P@10": 0.16939,
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+ "P@50": 0.09469,
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+ "P@100": 0.06429,
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+ "P@200": 0.04378,
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+ "P@1000": 0.01461
40
+ },
41
+ "recall": {
42
+ "Recall@1": 0.01566,
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+ "Recall@3": 0.04171,
44
+ "Recall@5": 0.07486,
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+ "Recall@10": 0.13628,
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+ "Recall@20": 0.21481,
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+ "Recall@50": 0.32919,
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+ "Recall@100": 0.41812,
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+ "Recall@200": 0.54051,
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+ "Recall@1000": 0.79752
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+ },
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+ "mrr": {
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+ "MRR@1": 0.16327,
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+ "MRR@3": 0.28571,
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+ "MRR@5": 0.31531,
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+ "MRR@10": 0.33861,
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+ "MRR@20": 0.34451,
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+ "MRR@50": 0.34736,
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+ "MRR@100": 0.34758,
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+ "MRR@200": 0.34758,
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+ "MRR@1000": 0.3478
62
+ },
63
+ "recall_cap": {
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+ "R_cap@1": 0.16327,
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+ "R_cap@3": 0.17007,
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+ "R_cap@5": 0.18776,
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+ "R_cap@10": 0.18882,
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+ "R_cap@20": 0.21937,
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+ "R_cap@50": 0.32919,
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+ "R_cap@100": 0.41812,
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+ "R_cap@200": 0.54051,
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+ "R_cap@1000": 0.79752
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+ },
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+ "hole": {
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+ "Hole@1": 0.79592,
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+ "Hole@3": 0.78231,
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+ "Hole@20": 0.81429,
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+ "Hole@200": 0.93,
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+ "Hole@1000": 0.96904
84
+ }
85
+ }
86
+ }
cc.moco.RC20+T0gen.bs2048.gpu8.sh ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env bash
2
+
3
+ export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
4
+ export LOCAL_RANK=0
5
+ export WORLD_SIZE=8
6
+
7
+ export TOKENIZERS_PARALLELISM=false
8
+ export NUM_WORKER=8
9
+ export MAX_STEPS=200000
10
+
11
+ export CUDA_LAUNCH_BLOCKING=1
12
+ export NCCL_DEBUG=INFO
13
+
14
+ export EXP_NAME=cc-hybrid.RC20+T0gen80.seed477.moco-2e14.contriever256-special50.bert-base-uncased.avg.dot.q128d256.step200k.bs2048.lr5e5
15
+ export PROJECT_DIR=output_dir/$EXP_NAME
16
+ mkdir -p $PROJECT_DIR
17
+ cp "$0" $PROJECT_DIR # copy bash to project dir
18
+ echo $PROJECT_DIR
19
+
20
+ export WANDB_NAME=$EXP_NAME
21
+ export WANDB_PROJECT=unsup_retrieval_cc
22
+ export WANDB_DIR=$PROJECT_DIR
23
+ mkdir -p $WANDB_DIR/wandb
24
+
25
+ nohup python -m torch.distributed.launch --nproc_per_node=8 --master_port=3112 --max_restarts=0 train.py --model_name_or_path bert-base-uncased --arch_type moco --train_file /export/home/data/search/upr/cc/T03B_PileCC_title.json:/export/home/data/search/upr/cc/T03B_PileCC_topic.json:/export/home/data/search/upr/cc/T03B_PileCC_exsum.json --dev_file /export/home/data/pretrain/wiki2021_structure/wiki_psgs_w100.dev.tail2e13.tsv --data_type hf --data_pipeline_name contriever256-special80% --remove_unused_columns False --sim_type dot --queue_size 16384 --momentum 0.9995 --output_dir $PROJECT_DIR --overwrite_output_dir --cache_dir /export/home/data/pretrain/.cache --max_steps $MAX_STEPS --warmup_steps 10000 --logging_steps 100 --eval_steps 10000 --save_steps 100000000 --per_device_train_batch_size 256 --per_device_eval_batch_size 256 --beir_batch_size 256 --dataloader_num_workers $NUM_WORKER --learning_rate 5e-5 --max_q_tokens 128 --max_d_tokens 256 --evaluation_strategy steps --load_best_model_at_end --do_train --do_eval --run_name $EXP_NAME --fp16 --seed 477 --report_to wandb --wiki_passage_path /export/home/data/search/nq/psgs_w100.tsv --qa_datasets_path /export/home/data/search/nq/qas/*-test.csv,/export/home/data/search/nq/qas/entityqs/test/P*.test.json > $PROJECT_DIR/nohup.log 2>&1 & echo $! > run.pid
26
+
27
+ # export WANDB_RUN_ID=10zycdpe
28
+ # nohup python -m torch.distributed.launch --nproc_per_node=8 --master_port=3112 --max_restarts=0 train.py --model_name_or_path bert-base-uncased --arch_type inbatch --reload_model_from $PROJECT_DIR --remove_unused_columns False --sim_type dot --output_dir $PROJECT_DIR --cache_dir /export/home/data/pretrain/.cache --max_steps $MAX_STEPS --do_eval --skip_senteval --skip_qaeval --beir_datasets robust04 bioasq signal1m trec-news --run_name $EXP_NAME --fp16 --seed 477 --report_to wandb --wiki_passage_path /export/home/data/search/nq/psgs_w100.tsv --qa_datasets_path /export/home/data/search/nq/qas/*-test.csv,/export/home/data/search/nq/qas/entityqs/test/P*.test.json > $PROJECT_DIR/nohup-eval.log 2>&1 & echo $! > run.pid
29
+
eval_output/.DS_Store ADDED
Binary file (6.15 kB). View file
 
eval_output/checkpoint-100000/arguana.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.1707,0.27989,0.33083,0.38844,0.42211,0.44099,0.44859,0.45193,0.45599
3
+ map,0.1707,0.25213,0.28055,0.30452,0.31397,0.31705,0.31771,0.3179,0.31799
4
+ precision,0.1707,0.1202,0.09673,0.06607,0.03962,0.01774,0.00934,0.00479,0.00099
5
+ recall,0.1707,0.3606,0.48364,0.66074,0.79232,0.88691,0.93385,0.95733,0.99218
6
+ mrr,0.17496,0.25296,0.28312,0.30639,0.31591,0.31897,0.31965,0.31983,0.31993
7
+ recall_cap,0.17496,0.35633,0.4872,0.66003,0.79232,0.8862,0.93385,0.95733,0.99218
8
+ hole,0.68137,0.67259,0.67838,0.68741,0.72639,0.80312,0.84001,0.86271,0.87658
eval_output/checkpoint-100000/arguana.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset": "arguana",
3
+ "split": "test",
4
+ "metric": "dot",
5
+ "norm_query": false,
6
+ "norm_doc": false,
7
+ "scores": {
8
+ "ndcg": {
9
+ "NDCG@1": 0.1707,
10
+ "NDCG@3": 0.27989,
11
+ "NDCG@5": 0.33083,
12
+ "NDCG@10": 0.38844,
13
+ "NDCG@20": 0.42211,
14
+ "NDCG@50": 0.44099,
15
+ "NDCG@100": 0.44859,
16
+ "NDCG@200": 0.45193,
17
+ "NDCG@1000": 0.45599
18
+ },
19
+ "map": {
20
+ "MAP@1": 0.1707,
21
+ "MAP@3": 0.25213,
22
+ "MAP@5": 0.28055,
23
+ "MAP@10": 0.30452,
24
+ "MAP@20": 0.31397,
25
+ "MAP@50": 0.31705,
26
+ "MAP@100": 0.31771,
27
+ "MAP@200": 0.3179,
28
+ "MAP@1000": 0.31799
29
+ },
30
+ "precision": {
31
+ "P@1": 0.1707,
32
+ "P@3": 0.1202,
33
+ "P@5": 0.09673,
34
+ "P@10": 0.06607,
35
+ "P@20": 0.03962,
36
+ "P@50": 0.01774,
37
+ "P@100": 0.00934,
38
+ "P@200": 0.00479,
39
+ "P@1000": 0.00099
40
+ },
41
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eval_output/checkpoint-100000/cqadupstack.csv ADDED
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eval_output/checkpoint-100000/fiqa.csv ADDED
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