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Major refactor to support new architectures #261

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e19133d
deepspeed running
anas-awadalla Aug 25, 2023
870f20c
more progress
anas-awadalla Aug 26, 2023
f9162a0
added ds checkpointing
anas-awadalla Aug 26, 2023
ded3485
more progress
anas-awadalla Aug 30, 2023
3672042
mllm
Aug 30, 2023
99c350f
merge deepspeed
anas-awadalla Aug 30, 2023
2f634f0
rewrite src: add VLM, Kosmos, Flamingo
i-gao Sep 7, 2023
7261639
fix kosmos models
i-gao Sep 11, 2023
09977ba
cosmetic: num_params helper fn
i-gao Sep 11, 2023
6bb9071
revert to deepspeed branch code for train/
i-gao Sep 11, 2023
7984adb
add BLIP
i-gao Sep 12, 2023
7eab26a
minor train script fixes
i-gao Sep 12, 2023
aed0f21
fix vocab len issues
i-gao Sep 13, 2023
47c8e19
fixes
i-gao Sep 13, 2023
11ab894
big refactor of training code
i-gao Sep 15, 2023
cd4f3aa
many fixes + rewrite FSDP for torch nightly
i-gao Sep 16, 2023
74686a7
fixes
i-gao Sep 16, 2023
61f5a3d
fixes
i-gao Sep 16, 2023
ccfcb0f
run linter & fix gradient ckpting
i-gao Sep 16, 2023
303e707
no need to untie embeddings for fsdp
i-gao Sep 16, 2023
fc660e7
add in missing kwarg
i-gao Sep 16, 2023
be9a4dd
Merge branch deepspeed: eval code only
i-gao Sep 16, 2023
b0ff9a4
update eval code to match new src args
i-gao Sep 16, 2023
92bc4b7
update documentation and example scripts
i-gao Sep 16, 2023
60a82d7
fix deepspeed train script
anas-awadalla Sep 17, 2023
82d1c69
removed non default loss scale window
anas-awadalla Sep 17, 2023
4875822
init flamingo embeds new weights
anas-awadalla Sep 17, 2023
8f2f040
init flamingo embeds new weights
anas-awadalla Sep 17, 2023
beba4d2
Merge branch 'main' into mllm
anas-awadalla Sep 17, 2023
b81379f
fix mmc4 sim threshold arg
anas-awadalla Sep 17, 2023
f91c14a
add z-loss
anas-awadalla Sep 17, 2023
df96979
Merge pull request #262 from mlfoundations/add-z-loss
anas-awadalla Sep 17, 2023
bcc5a8f
Update eval README.md
i-gao Sep 17, 2023
770e653
have a default stdev for init
Sep 17, 2023
ef268be
Update run_train_deepspeed.sh
anas-awadalla Sep 17, 2023
da07e35
fix loss impl and model vocab size
Sep 17, 2023
3fcda82
Merge branch 'mllm' of https://github.com/mlfoundations/open_flamingo…
Sep 17, 2023
bcd2cf5
remove ds act checkpointing exception
Sep 18, 2023
9b1a764
fixes from PR review
i-gao Sep 19, 2023
866a780
Merge branch 'mllm' of github.com:mlfoundations/open_flamingo into mllm
i-gao Sep 19, 2023
5ad05c4
add weight/bias init to decouple linear
anas-awadalla Sep 20, 2023
939d460
Language stream changes (#264)
anas-awadalla Sep 21, 2023
ae76178
grad checkpointing + ds saving patch (we should find a cleaner solution)
anas-awadalla Sep 21, 2023
d29c8b8
Update run_train_deepspeed.sh
anas-awadalla Oct 18, 2023
b7af1d6
clearer parameter count logging
anas-awadalla Oct 18, 2023
43ac961
Fix model vocab size (now it is len of tokenizer)
anas-awadalla Oct 18, 2023
e7684b5
Update code example
anas-awadalla Oct 18, 2023
735a880
fix LR schedule
anas-awadalla Oct 23, 2023
496e656
fix var naming in load_deepspeed_checkpoint
anas-awadalla Oct 24, 2023
c5feb97
Update losses.py
anas-awadalla Nov 30, 2023
dbb1ad8
train_utils media token fix
Dec 2, 2023
fa6af69
remove unnecessary model unwrap lines
Dec 2, 2023
eb6b8aa
Merge pull request #283 from mlfoundations/media_token_fix
anas-awadalla Dec 2, 2023
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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -226,7 +226,7 @@ OpenFlamingo is developed by:
The team is primarily from the University of Washington, Stanford, AI2, UCSB, and Google.

# Acknowledgments
This code is based on Lucidrains' [flamingo implementation](https://github.com/lucidrains/flamingo-pytorch) and David Hansmair's [flamingo-mini repo](https://github.com/dhansmair/flamingo-mini). Thank you for making your code public! We also thank the [OpenCLIP](https://github.com/mlfoundations/open_clip) team as we use their data loading code and take inspiration from their library design.
This code is based on Lucidrains' [flamingo implementation](https://github.com/lucidrains/flamingo-pytorch) and David Hansmair's [flamingo-mini repo](https://github.com/dhansmair/flamingo-mini). Thank you for making your code public! We also thank the [OpenCLIP](https://github.com/mlfoundations/open_clip) and [OpenLM](https://github.com/mlfoundations/open_lm) team as we use their data loading/z-loss code and take inspiration from their library design.

We would also like to thank [Jean-Baptiste Alayrac](https://www.jbalayrac.com) and [Antoine Miech](https://antoine77340.github.io) for their advice, [Rohan Taori](https://www.rohantaori.com/), [Nicholas Schiefer](https://nicholasschiefer.com/), [Deep Ganguli](https://hai.stanford.edu/people/deep-ganguli), [Thomas Liao](https://thomasliao.com/), [Tatsunori Hashimoto](https://thashim.github.io/), and [Nicholas Carlini](https://nicholas.carlini.com/) for their help with assessing the safety risks of our release, and to [Stability AI](https://stability.ai) for providing us with compute resources to train these models.

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