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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 +26 -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.ExtQ50-plm.moco.bs1024.gpu8.sh +29 -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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  *.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/beir.json ADDED
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beir_output/climate-fever.csv 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
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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beir_output/fever.json ADDED
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1
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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,0.19599,0.19067,0.20212,0.22343,0.24275,0.2715,0.28951,0.30503,0.33352
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+ hole,0.75926,0.82767,0.85031,0.88009,0.90255,0.9196,0.92806,0.93346,0.9413
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,0.54004,0.42766,0.45377,0.47864,0.49556,0.51232,0.52124,0.52844,0.54145
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+ hole,0.45226,0.71767,0.80438,0.88365,0.93007,0.96269,0.97545,0.98261,0.98986
beir_output/hotpotqa.json ADDED
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1
+ {
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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,0.08596,0.14458,0.17299,0.20565,0.23143,0.25642,0.27131,0.2829,0.29902
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+ hole,0.91261,0.93443,0.94573,0.96191,0.97512,0.9867,0.99184,0.99494,0.99802
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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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,0.7432,0.79063,0.80987,0.82685,0.83677,0.84336,0.8458,0.84709,0.84815
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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,0.169,0.13739,0.12099,0.14703,0.17228,0.19858,0.21515,0.23246,0.26731
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beir_output/scidocs.json ADDED
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1
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beir_output/scifact.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
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+ hole,0.44667,0.71667,0.78933,0.85767,0.89383,0.92227,0.93133,0.93717,0.94093
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+ }
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+ }
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+ }
beir_output/senteval-core.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
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+ "eval_senteval-stsb_spearman": 0.7572938795946844,
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+ "eval_senteval-sickr_spearman": 0.6974671648657597,
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beir_output/senteval.json ADDED
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+ }
beir_output/trec-covid.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.63,0.5805,0.56313,0.53589,0.50601,0.45539,0.40739,0.35146,0.37269
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+ recall,0.00182,0.00483,0.00768,0.01456,0.0274,0.05786,0.09788,0.15687,0.3557
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+ mrr,0.62,0.72,0.746,0.74933,0.75058,0.75058,0.75058,0.75058,0.75058
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+ recall_cap,0.62,0.60667,0.592,0.572,0.542,0.4824,0.4254,0.35664,0.35705
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+ hole,0.16,0.12667,0.132,0.134,0.135,0.1568,0.1958,0.2358,0.36202
beir_output/trec-covid.json ADDED
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1
+ {
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+ }
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+ }
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+ }
beir_output/webis-touche2020.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.15306,0.16559,0.19102,0.18996,0.2098,0.25659,0.31192,0.3514,0.42487
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+ precision,0.18367,0.18367,0.21224,0.18367,0.15306,0.09592,0.07041,0.04541,0.01435
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+ recall,0.0147,0.04432,0.08342,0.13654,0.21521,0.31708,0.44399,0.54667,0.78305
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+ mrr,0.18367,0.28571,0.33878,0.35322,0.35978,0.36181,0.3622,0.3622,0.36238
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+ recall_cap,0.18367,0.18367,0.21224,0.2013,0.22388,0.31708,0.44399,0.54667,0.78305
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+ hole,0.67347,0.73469,0.71429,0.76939,0.80102,0.86286,0.89367,0.92388,0.96686
beir_output/webis-touche2020.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "dataset": "webis-touche2020",
3
+ "split": "test",
4
+ "metric": "dot",
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+ "norm_query": false,
6
+ "norm_doc": false,
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+ "scores": {
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+ }
cc.ExtQ50-plm.moco.bs1024.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=true
8
+ export NUM_WORKER=8
9
+ export MAX_STEPS=100000
10
+
11
+ export CUDA_LAUNCH_BLOCKING=1
12
+ export NCCL_DEBUG=INFO
13
+
14
+ export EXP_NAME=cc.ExtQ50-plm-chunk16.seed477.moco-2e14.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=3112 --max_restarts=0 train.py --model_name_or_path bert-base-uncased --arch_type moco --q_select google/t5-small-lm-adapt --num_random_chunk 16 --q_select_ratio 0.5 --train_file pile_Pile-CC --dev_file /export/home/data/pretrain/wiki2021_structure/wiki_psgs_w100.dev.tail2e13.tsv --data_type hf --data_pipeline_name contriever256 --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 1000000 --per_device_train_batch_size 128 --per_device_eval_batch_size 128 --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=370bk36z
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
29
+
eval_output/.DS_Store ADDED
Binary file (8.2 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
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eval_output/checkpoint-100000/arguana.json ADDED
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eval_output/checkpoint-100000/beir.json ADDED
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eval_output/checkpoint-100000/cqadupstack.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
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eval_output/checkpoint-100000/cqadupstack.json ADDED
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eval_output/checkpoint-100000/fiqa.csv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.19599,0.19067,0.20212,0.22343,0.24275,0.2715,0.28951,0.30503,0.33352
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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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+ ndcg,0.39628,0.35563,0.33507,0.30319,0.28103,0.27022,0.27658,0.29045,0.36604
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eval_output/checkpoint-100000/nfcorpus.json ADDED
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eval_output/checkpoint-100000/nq.csv ADDED
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+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
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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
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+ ndcg,0.7432,0.79063,0.80987,0.82685,0.83677,0.84336,0.8458,0.84709,0.84815
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eval_output/checkpoint-100000/quora.json ADDED
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1
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eval_output/checkpoint-100000/scidocs.csv ADDED
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1
+ metric,@1,@3,@5,@10,@20,@50,@100,@200,@1000
2
+ ndcg,0.169,0.13739,0.12099,0.14703,0.17228,0.19858,0.21515,0.23246,0.26731
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