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facebookresearch
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dpr-scale
Scalable training for dense retrieval models.
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cannot import name 'void' from 'deprecate'
#17
kavin525zhang
opened
6 days ago
1
Clarification about training of dragon
#16
Dundalia
closed
1 year ago
4
Fix minor bugs
#15
jacklin64
closed
1 year ago
1
scidocs seems to be bad formatted
#14
Dundalia
closed
1 year ago
0
Use fp32 for router sim scores
#13
Zhylkaaa
opened
1 year ago
0
CITADEL reproduction scripts
#12
Zhylkaaa
closed
5 months ago
11
Reddit data download link broken
#11
jordane95
closed
1 year ago
3
Error when training the model
#10
jwxsp1
closed
1 year ago
3
Fix typo in dragon/README.md
#9
eltociear
opened
1 year ago
0
Fix typo in README.md
#8
m-hammad-khan
opened
1 year ago
3
what kind of bug might happen when num_workers > 0?
#7
Liangtaiwan
closed
1 year ago
1
Embeddings generation without Trainer
#6
roddar92
closed
1 year ago
2
BEIR reproduction
#5
ziqing-huang
closed
1 year ago
4
Error during embeddings generation
#4
roddar92
opened
2 years ago
1
Question about deepspeed option
#3
roddar92
closed
1 year ago
4
Some questions about 'generating training queries'
#2
jjonhwa
closed
2 years ago
2
KeyError: 'positive_ctxs' when running run_retrieval.py for nq-test.jsonl
#1
mei16
closed
1 year ago
6