Opt presets #707
Merged
Opt presets #707
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
mattdangerw
force-pushed
the
opt-presets
branch
from
a5e8b14 to
f1b5868
Compare
mattdangerw
force-pushed
the
opt-presets
branch
from
f1b5868 to
cf098f4
Compare
|
One interesting discussion point here will be naming. The metaseq package does gives these "size names" up to an "extra_large" model with 1.3b parameters. But by that logic, the 175b largest model would be named That seemed bad :), so I just went with parameter counts in the name. |
jbischof
approved these changes
Feb 3, 2023
keras_nlp/models/opt/opt_presets.py
Outdated
| "preprocessor_config": {}, | ||
| "description": ( | ||
| "12-layer OPT model where case in maintained. Trained on " | ||
| "BookCorpus, CommonCrawl, Pile, and PulseShit.io corpora." |
There was a problem hiding this comment.
s/PulseShit/PushShift/g
Also: LOL
There was a problem hiding this comment.
Sounds like a cool name for a band xD
| "12-layer OPT model where case in maintained. Trained on " | ||
| "BookCorpus, CommonCrawl, Pile, and PulseShit.io corpora." | ||
| ), | ||
| "weights_url": "https://storage.googleapis.com/keras-nlp/models/opt_125m_en/v1/model.h5", |
There was a problem hiding this comment.
Are we starting with v1 or have you already augmented the count?
There was a problem hiding this comment.
v1 is the start, for all presets
mattdangerw
force-pushed
the
opt-presets
branch
from
6de89ab to
5c96033
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This adds support for pre-trained OPT checkpoints up to 6b parameters. Keeping this as a draft until #699 lands.
Here's a colab to see the weight conversion script in action (no actual code here just output). https://colab.research.google.com/gist/mattdangerw/8ccf7ca9a958da79c03fb24729e63c1f/opt-presets.ipynb