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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 +14 -0
  5. beir_output/climate-fever.csv +8 -0
  6. beir_output/climate-fever.json +86 -0
  7. beir_output/cqadupstack.csv +8 -0
  8. beir_output/cqadupstack.json +86 -0
  9. beir_output/dbpedia-entity.csv +8 -0
  10. beir_output/dbpedia-entity.json +86 -0
  11. beir_output/fever.csv +8 -0
  12. beir_output/fever.json +86 -0
  13. beir_output/fiqa.csv +8 -0
  14. beir_output/fiqa.json +86 -0
  15. beir_output/hotpotqa.csv +8 -0
  16. beir_output/hotpotqa.json +86 -0
  17. beir_output/msmarco.csv +8 -0
  18. beir_output/msmarco.json +86 -0
  19. beir_output/nfcorpus.csv +8 -0
  20. beir_output/nfcorpus.json +86 -0
  21. beir_output/nq.csv +8 -0
  22. beir_output/nq.json +86 -0
  23. beir_output/quora.csv +8 -0
  24. beir_output/quora.json +86 -0
  25. beir_output/scidocs.csv +8 -0
  26. beir_output/scidocs.json +86 -0
  27. beir_output/scifact.csv +8 -0
  28. beir_output/scifact.json +86 -0
  29. beir_output/senteval-core.json +5 -0
  30. beir_output/senteval.json +99 -0
  31. beir_output/trec-covid.csv +8 -0
  32. beir_output/trec-covid.json +86 -0
  33. beir_output/webis-touche2020.csv +8 -0
  34. beir_output/webis-touche2020.json +86 -0
  35. cc.inbatch.topic.bs1024.gpu8.sh +28 -0
  36. eval_output/.DS_Store +0 -0
  37. eval_output/checkpoint-100000/arguana.csv +8 -0
  38. eval_output/checkpoint-100000/arguana.json +86 -0
  39. eval_output/checkpoint-100000/beir.json +46 -0
  40. eval_output/checkpoint-100000/cqadupstack.csv +8 -0
  41. eval_output/checkpoint-100000/cqadupstack.json +86 -0
  42. eval_output/checkpoint-100000/fiqa.csv +8 -0
  43. eval_output/checkpoint-100000/fiqa.json +86 -0
  44. eval_output/checkpoint-100000/nfcorpus.csv +8 -0
  45. eval_output/checkpoint-100000/nfcorpus.json +86 -0
  46. eval_output/checkpoint-100000/nq.csv +8 -0
  47. eval_output/checkpoint-100000/nq.json +86 -0
  48. eval_output/checkpoint-100000/quora.csv +8 -0
  49. eval_output/checkpoint-100000/quora.json +86 -0
  50. eval_output/checkpoint-100000/scidocs.csv +8 -0
.gitattributes CHANGED
@@ -32,3 +32,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ qa_output/nq-test/results.jsonl filter=lfs diff=lfs merge=lfs -text
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+ qa_output/squad1-test/results.jsonl filter=lfs diff=lfs merge=lfs -text
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+ qa_output/trivia-test/results.jsonl filter=lfs diff=lfs merge=lfs -text
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+ qa_output/webq-test/results.jsonl filter=lfs diff=lfs merge=lfs -text
beir_output/arguana.csv ADDED
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beir_output/arguana.json ADDED
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beir_output/beir.json ADDED
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beir_output/climate-fever.csv ADDED
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beir_output/climate-fever.json ADDED
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beir_output/cqadupstack.csv ADDED
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beir_output/dbpedia-entity.csv ADDED
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beir_output/dbpedia-entity.json ADDED
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beir_output/fever.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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+ ndcg,0.4685,0.58291,0.61555,0.63923,0.65243,0.66162,0.66512,0.66738,0.66975
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+ recall_cap,0.4685,0.66964,0.74736,0.8182,0.86817,0.91176,0.93145,0.94589,0.9631
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+ hole,0.50285,0.72937,0.81251,0.891,0.93745,0.97033,0.98308,0.9901,0.99652
beir_output/fever.json ADDED
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1
+ {
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+ }
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+ }
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+ }
beir_output/fiqa.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.24846,0.23935,0.25446,0.28062,0.3056,0.32979,0.34963,0.36675,0.39175
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+ mrr,0.24846,0.3053,0.31957,0.33238,0.3379,0.34081,0.34213,0.34257,0.34278
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+ recall_cap,0.24846,0.24691,0.28418,0.35454,0.43214,0.52487,0.61765,0.71066,0.8749
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+ hole,0.69599,0.78447,0.82068,0.86034,0.8892,0.91321,0.92128,0.92703,0.93571
beir_output/fiqa.json ADDED
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1
+ {
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beir_output/hotpotqa.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.59217,0.44989,0.47309,0.49429,0.50996,0.5251,0.53311,0.53972,0.55201
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6
+ mrr,0.59217,0.65318,0.66396,0.67034,0.67307,0.67445,0.67478,0.67492,0.675
7
+ recall_cap,0.59217,0.41681,0.4628,0.51587,0.5661,0.62809,0.66826,0.70689,0.79467
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+ hole,0.40162,0.71195,0.80432,0.88632,0.93342,0.9654,0.97758,0.98425,0.99081
beir_output/hotpotqa.json ADDED
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1
+ {
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+ }
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+ }
beir_output/msmarco.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.07865,0.14084,0.17087,0.20651,0.2327,0.25783,0.27105,0.28319,0.29862
3
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4
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5
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6
+ mrr,0.07865,0.12655,0.14329,0.15812,0.16529,0.16938,0.17053,0.17114,0.17148
7
+ recall_cap,0.07865,0.18758,0.26018,0.36899,0.47128,0.59502,0.67481,0.76033,0.89163
8
+ hole,0.92106,0.93524,0.94562,0.96085,0.97458,0.98665,0.99204,0.99511,0.99822
beir_output/msmarco.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
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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,0.6897,0.74408,0.76601,0.78549,0.79663,0.80497,0.80825,0.81002,0.81195
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+ hole,0.2918,0.64107,0.74518,0.83811,0.89266,0.93065,0.94517,0.95374,0.96222
beir_output/quora.json ADDED
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1
+ {
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beir_output/scidocs.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.192,0.14881,0.13068,0.15962,0.18417,0.21593,0.23574,0.25272,0.28886
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beir_output/scidocs.json ADDED
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1
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beir_output/scifact.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.49667,0.56063,0.5832,0.618,0.63668,0.64841,0.65303,0.65582,0.66222
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beir_output/trec-covid.csv ADDED
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beir_output/webis-touche2020.csv ADDED
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1
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+ {
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cc.inbatch.topic.bs1024.gpu8.sh ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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=4
9
+ export MAX_STEPS=100000
10
+
11
+ export CUDA_LAUNCH_BLOCKING=1
12
+ export NCCL_DEBUG=INFO
13
+
14
+ export EXP_NAME=cc.T03b_topic.inbatch.contriever256-special50.bert-base-uncased.avg.dot.q128d256.step100k.bs1024.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=31133 --max_restarts=0 train.py --model_name_or_path bert-base-uncased --arch_type inbatch --train_file /export/home/data/search/upr/cc/T03B_PileCC_topic.json --dev_file /export/home/data/pretrain/wiki2021_structure/wiki_psgs_w100.dev.tail2e13.tsv --data_type hf --data_pipeline_name contriever256-special --remove_unused_columns False --sim_type dot --output_dir $PROJECT_DIR --cache_dir /export/home/data/pretrain/.cache --max_steps $MAX_STEPS --warmup_steps 10000 --logging_steps 100 --eval_steps 10000 --save_steps 1000000 --per_device_train_batch_size 128 --per_device_eval_batch_size 128 --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 --overwrite_output_dir --do_train --do_eval --run_name $EXP_NAME --fp16 --seed 42 --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=zl4sljkg
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 --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
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eval_output/checkpoint-100000/arguana.csv ADDED
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+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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+ mrr,0.15434,0.22973,0.25537,0.28239,0.29444,0.298,0.29866,0.29878,0.29882
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+ recall_cap,0.15434,0.33357,0.44666,0.6522,0.81863,0.92248,0.96657,0.98293,0.99644
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eval_output/checkpoint-100000/cqadupstack.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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eval_output/checkpoint-100000/cqadupstack.json ADDED
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eval_output/checkpoint-100000/fiqa.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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+ ndcg,0.24846,0.23935,0.25446,0.28062,0.3056,0.32979,0.34963,0.36675,0.39175
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eval_output/checkpoint-100000/fiqa.json ADDED
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1
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eval_output/checkpoint-100000/nfcorpus.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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eval_output/checkpoint-100000/nfcorpus.json ADDED
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eval_output/checkpoint-100000/nq.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.1263,0.1948,0.23184,0.27574,0.31019,0.33737,0.34981,0.35952,0.36958
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+ mrr,0.12659,0.19028,0.21087,0.22842,0.23687,0.24093,0.24189,0.24234,0.24254
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+ recall_cap,0.12659,0.24493,0.33196,0.46125,0.59007,0.72019,0.7927,0.85808,0.93996
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+ hole,0.87283,0.90324,0.92097,0.94371,0.96246,0.98022,0.98807,0.9925,0.99676
eval_output/checkpoint-100000/nq.json ADDED
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1
+ {
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eval_output/checkpoint-100000/quora.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.6897,0.74408,0.76601,0.78549,0.79663,0.80497,0.80825,0.81002,0.81195
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+ hole,0.2918,0.64107,0.74518,0.83811,0.89266,0.93065,0.94517,0.95374,0.96222
eval_output/checkpoint-100000/quora.json ADDED
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1
+ {
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eval_output/checkpoint-100000/scidocs.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.192,0.14881,0.13068,0.15962,0.18417,0.21593,0.23574,0.25272,0.28886
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