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RoPE length extrapolation with interpolation #7005

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merged 16 commits into from
Jul 11, 2023

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What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

Collection: NLP

Changelog

  • Added the ability to do length extrapolation with RoPE via interpolation.
  • Added a continue training script for GPT

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# Add a code snippet demonstrating how to use this 

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Signed-off-by: MaximumEntropy <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
ekmb and others added 6 commits July 10, 2023 13:29
* sft with pi

Signed-off-by: Evelina <[email protected]>

* update values only if not None"

Signed-off-by: Evelina <[email protected]>

---------

Signed-off-by: Evelina <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
Signed-off-by: MaximumEntropy <[email protected]>
@MaximumEntropy MaximumEntropy requested a review from ekmb July 10, 2023 20:39
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Thank you!

@@ -60,6 +60,8 @@ model:
activations_checkpoint_num_layers: null # not used with 'selective'
answer_only_loss: False # not used right now
gradient_as_bucket_view: False
seq_len_interpolation_factor: null # if not None, seq_len_interpolation_factor will match the base model's value
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add some explanation about how interpolation factor translate to longer sequences.
e.g. factor = 2, sequence length x 2

from nemo.utils.model_utils import inject_model_parallel_rank


def _modify_config(gpt_cfg, cfg, add_cfg_to_tree=False):
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these modify config, load_from_nemo, load_from_checkpoint_dir, validate_checkpoint_loading_args functions are the same as in the SFT code. can we put them into an utility file?

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They are almost the same not 100% identical. The issue is each one (SFT vs continued training) modifies some common attributes like data, optim, but also a few different things.

@@ -559,7 +562,9 @@ def __init__(
assert 0 < rotary_percentage <= 1
if rotary_percentage < 1:
rotary_dim = int(rotary_dim * rotary_percentage)
self.rotary_pos_emb = RotaryEmbedding(rotary_dim)
self.rotary_pos_emb = RotaryEmbedding(
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maybe not in this PR. we need to add seq_len_interpolation_factor for all the models that uses RoPe.

@MaximumEntropy MaximumEntropy merged commit 41d8477 into main Jul 11, 2023
15 checks passed
@MaximumEntropy MaximumEntropy deleted the sandeepsub/rope_interpolate branch July 11, 2023 19:56
gshennvm pushed a commit that referenced this pull request Jul 12, 2023
* Push changes

Signed-off-by: MaximumEntropy <[email protected]>

* Fixes

Signed-off-by: MaximumEntropy <[email protected]>

* add continue training script

Signed-off-by: MaximumEntropy <[email protected]>

* [WIP] nonlinear interp

Signed-off-by: MaximumEntropy <[email protected]>

* Fix

Signed-off-by: MaximumEntropy <[email protected]>

* override encoder_seq_len

Signed-off-by: MaximumEntropy <[email protected]>

* Remove nonlinear

Signed-off-by: MaximumEntropy <[email protected]>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* sft with pi (#7006)

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* update values only if not None"

Signed-off-by: Evelina <[email protected]>

---------

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gshennvm pushed a commit that referenced this pull request Jul 12, 2023
* Push changes

Signed-off-by: MaximumEntropy <[email protected]>

* Fixes

Signed-off-by: MaximumEntropy <[email protected]>

* add continue training script

Signed-off-by: MaximumEntropy <[email protected]>

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Signed-off-by: MaximumEntropy <[email protected]>

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* Remove nonlinear

Signed-off-by: MaximumEntropy <[email protected]>

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for more information, see https://pre-commit.ci

* sft with pi (#7006)

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* update values only if not None"

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ericharper added a commit that referenced this pull request Jul 13, 2023
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* rnnt_greedy_decoding.py: typos? auto-repressively -> auto-regressively (#6989)

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* Cache handling without input tensors mutation (#6980) (#6996)

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* Fixing an issue with confidence ensembles (#6987) (#7004)

* Bug fix for the confidence ensembles



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* RoPE length extrapolation with interpolation (#7005)

* Push changes

Signed-off-by: MaximumEntropy <[email protected]>

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* update values only if not None"

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dimapihtar pushed a commit that referenced this pull request Jul 27, 2023
* Push changes

Signed-off-by: MaximumEntropy <[email protected]>

* Fixes

Signed-off-by: MaximumEntropy <[email protected]>

* add continue training script

Signed-off-by: MaximumEntropy <[email protected]>

* [WIP] nonlinear interp

Signed-off-by: MaximumEntropy <[email protected]>

* Fix

Signed-off-by: MaximumEntropy <[email protected]>

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Signed-off-by: MaximumEntropy <[email protected]>

* Remove nonlinear

Signed-off-by: MaximumEntropy <[email protected]>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* sft with pi (#7006)

* sft with pi

Signed-off-by: Evelina <[email protected]>

* update values only if not None"

Signed-off-by: Evelina <[email protected]>

---------

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* Address comments

Signed-off-by: MaximumEntropy <[email protected]>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

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Signed-off-by: MaximumEntropy <[email protected]>

* Empty

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