Commit Graph

1832 Commits

Author SHA1 Message Date
Wing Lian
6f713226dd make save_safetensors: true the default (#2292)
* make save_safetensors: true the default

* revert change to model output check
2025-01-30 11:48:48 -05:00
Wing Lian
1063d82b51 match the cuda version for 2.4.1 build w/o tmux (#2299) 2025-01-30 11:46:09 -05:00
salman
ac471a697a updating to fused (#2293) 2025-01-30 11:45:56 -05:00
Wing Lian
8779997ba5 native support for modal cloud from CLI (#2237)
* native support for modal cloud from CLI

* do lm_eval in cloud too

* Fix the sub call to lm-eval

* lm_eval option to not post eval, and append not extend

* cache bust when using branch, grab sha of latest image tag, update lm-eval dep

* allow minimal yaml for lm eval

* include modal in requirements

* update link in README to include utm

* pr feedback

* use chat template

* revision support

* apply chat template as arg

* add wandb name support, allow explicit a100-40gb

* cloud is optional

* handle accidental setting of tasks with a single task str

* document the modal cloud yaml for clarity [skip ci]

* cli docs

* support spawn vs remote for lm-eval

* Add support for additional docker commands in modal image build

* cloud config shouldn't be a dir

* Update README.md

Co-authored-by: Charles Frye <cfrye59@gmail.com>

* fix annotation args

---------

Co-authored-by: Charles Frye <cfrye59@gmail.com>
2025-01-30 11:34:02 -05:00
Eric Tang
268543a3be Ray Train Axolotl Integration (#2251)
* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* fix bf16 resolution behavior

* move dtype logic

* x

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* rename

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* add to sidebar

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* Apply suggestions from code review

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* Update docs/ray-integration.qmd

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* pre-commit fixes

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* use output_dir instead of hardcoded saves path

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* bugfix storage dir

* change type\ for resources_per_worker

---------

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Sumanth R Hegde <39546518+SumanthRH@users.noreply.github.com>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
2025-01-29 00:10:19 -05:00
salman
54dd7abfc1 Process reward models (#2241)
* adding model_cfg to set num_labels

* using a num_labels field instead

* linting

* WIP stepwise prompt tokenizer

* this should work?

* trainer working?

* pushing to runpod

* fixing saving

* updating conf

* updating config, adding docs

* adding stepwise supervision docpage

* updating tests

* adding test for dataset

* fixing tests

* linting

* addressing some comments

* adding additional cfg fields support

* updating tests, fixing cfg

* fixing tests

* updating loss

* Update test_process_reward_model_smollm2.py

* updating loss values and seed

* dumb pre-commit
2025-01-29 00:08:33 -05:00
salman
c071a530f7 removing 2.3.1 (#2294) 2025-01-28 23:23:44 -05:00
mashdragon
c015a76a23 Num epochs float (#2282) [skip ci]
* Change num_epochs type to float

* Handle float value for num_epochs in trainer.py
2025-01-28 23:23:26 -05:00
NanoCode012
067b442596 chore: refactor SaveModelCallback to stop handle fractional save_steps (#2291) [skip ci] 2025-01-28 23:22:10 -05:00
Wing Lian
0b52f06227 bump bnb to 0.45.1 (#2289) [skip ci] 2025-01-28 23:21:25 -05:00
Wing Lian
887513285d support for custom lr groups for non-embedding modules (#2213)
* support for custom lr groups for non-embedding modules

invert name check for group modules
include lr_groups in training args
additional conditional for creating optimizer
fix regular params as w weight decay
fix lookup and add docs

* address pr feedback
2025-01-24 12:56:28 -05:00
Wing Lian
20620771f1 Pretrain multipack (#2278)
* fix for pretrain with packing

* fix model name and loss expected

* make sure to check with micro batch size for pretraining

* change loss threshholds based on parametrization

* make tests smaller for CI

* fix pretrain packing

* fix pretrain packing test

* address pr feedback
2025-01-24 12:55:20 -05:00
NanoCode012
6086162488 chore(doc): improve explanation for *_steps and *_strategy (#2270) 2025-01-24 10:07:02 -05:00
mashdragon
b2774af66c Take split param from config in all load_dataset instances (#2281) 2025-01-24 10:06:50 -05:00
NanoCode012
74f9782fc3 chore(doc): fix explanation on gcs creds retrieval (#2272) 2025-01-24 10:05:58 -05:00
Wing Lian
8a7a0b07dc support for latest transformers release 4.48.1 (#2256) 2025-01-23 21:17:57 -05:00
Wing Lian
8fb72cbc0b use the extracted field_messages to parse the role fields (#2265) 2025-01-21 15:39:30 -05:00
Adithya Kamath
bb9d4102c4 Add 5000 line history limit to tmux for docker cloud (#2268) 2025-01-21 15:39:17 -05:00
Wing Lian
af727eedf7 option to not concatenate during pretraining (#2263)
* option to not concatenate during pretraining

* simplify conditional and add doc to config.qmd
2025-01-20 14:07:34 -05:00
jwongTensora
8606093921 fix for indexing error from token/embeddings mismatch (#2257)
Co-authored-by: jwong <jwongTensora@gmail.com>
2025-01-14 22:09:29 -05:00
NanoCode012
cba5a457d9 fix: use text_column even when not packing for pretraining (#2254)
* fix: use text_column even when not packing for pretraining

* feat: update test to check when not packing

* chore: lint

* Update src/axolotl/utils/data/pretraining.py

Co-authored-by: Wing Lian <wing.lian@gmail.com>

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
2025-01-14 22:08:56 -05:00
Wing Lian
19cd83d408 rename references to dpo dataset prep to pref data (#2258) 2025-01-14 22:07:55 -05:00
Dan Saunders
1ed4de73b6 CLI cleanup and documentation (#2244)
* CLI init refactor

* fix

* cleanup and (partial) docs

* Adding documentation and continuing cleanup (in progress)

* remove finetune.py script

* continued cleanup and documentation

* pytest fixes

* review comments

* fix

* Fix

* typing fixes

* make sure the batch dataset patcher for multipack is always loaded when handling datasets

* review comments

* fix

---------

Co-authored-by: Dan Saunders <dan@axolotl.ai>
Co-authored-by: Wing Lian <wing@axolotl.ai>
2025-01-13 17:55:29 +00:00
Wing Lian
f89e962119 skip over rows in pretraining dataset (#2223)
* skip over rows in pretraining dataset

* update docs
2025-01-13 10:44:45 -05:00
Wing Lian
bc1c9c20e3 assume empty lora dropout means 0.0 and add tests (#2243)
* assume empty lora dropout means 0.0 and add tests

* remove un-necessary arg

* refactor based on pr feedback:

* chore: lint
2025-01-13 10:44:11 -05:00
Wing Lian
dd26cc3c0f add helper to verify the correct model output file exists (#2245)
* add helper to verify the correct model output file exists

* more checks using helper

* chore: lint

* fix import and relora model check

* workaround for trl trainer saves

* remove stray print
2025-01-13 10:43:29 -05:00
Wing Lian
d8b4027200 use 2.5.1 docker images as latest tag as it seems stable (#2198) 2025-01-10 08:35:25 -05:00
Wing Lian
fb3352e21c rename liger test so it properly runs in ci (#2246) 2025-01-09 17:31:43 -05:00
NanoCode012
ed77e7001e feat: add support for data_files in pretraining (#2238) 2025-01-09 21:04:13 +00:00
Wing Lian
7669a03fb4 update upstream HF deps (#2239)
* bump axolotl contribs for upstream main conflicts:

* bump datasets, tokenizer, trl

* remove log workarounds in trl

* bump lm-eval

* remove unsloth_ import from critical path

* remove llama fa2 from conftest

* unsloth breaks with latest upstream
2025-01-09 21:01:59 +00:00
Vincenzo di Cicco
6553683170 Use SequentialSampler if curriculum_sampling is enabled with sample_packing (#2235) 2025-01-09 21:01:22 +00:00
Wing Lian
5e0124e2ab update modal version for ci (#2242) 2025-01-09 21:01:02 +00:00
NanoCode012
2e8d7c1adb fix: mistral nemo does not recognize token_type_ids in forward (#2233) 2025-01-09 21:00:36 +00:00
Wing Lian
3c1921e400 add hf cache caching for GHA (#2247)
* add hf cache caching for GHA

* use modal volume to cache hf data

* make sure to update the cache as we add new fixtures in conftest
2025-01-09 20:59:54 +00:00
Wing Lian
7faf2b6e8e Merge group queue (#2248)
* add support for merge groups

* also lint merge groups
2025-01-09 15:49:00 -05:00
salman
c1b920f291 Fixing OSX installation (#2231)
* bumping version, removing non-osx compatible deps

* updating pylintrc

* fixing linters

* reverting changes
2025-01-07 13:42:01 +00:00
Wing Lian
3915abee4c make sure padding is labeled as -100 for pretraining (#2227) 2024-12-31 15:22:18 -05:00
NJordan72
7a38dbe674 fix: allow trainer builder to use custom jinja chat template (#2219)
* fix: allow trainer builder to use custom jinja chat template

* chore: use get_chat_template_from_config

Co-authored-by: Chirag Jain <jain.chirag925@gmail.com>

* fix: swap imports

---------

Co-authored-by: Chirag Jain <jain.chirag925@gmail.com>
2024-12-24 16:18:50 -05:00
Wing Lian
e0a2eb2ebd fix untrained tokens if specified explicitly from a list (#2210) 2024-12-23 09:08:28 -05:00
Wing Lian
d852d7af7a inference - don't default w accelerate, fix base model (#2216) [skip ci] 2024-12-23 07:48:41 -05:00
Wing Lian
3742deb1de add deepspeed example with torch compile enabled (#2212) [skip ci] 2024-12-22 12:11:39 -05:00
Wing Lian
2312caaa98 GC every n steps (#2209) 2024-12-21 17:38:33 -05:00
Wing Lian
307cf7c685 move the dataset loading from remote/disk to a shared function so we can re-use for RL (#2204) 2024-12-20 21:43:52 -05:00
Dan Saunders
70541145f1 adding test_datasets compat with pretraining_dataset (streaming) (#2206) [skip ci] 2024-12-20 21:43:33 -05:00
Wing Lian
42bd32a233 add outputs (symlink) to gitignore [skip ci] (#2205) 2024-12-19 20:14:43 -05:00
Dan Saunders
5b8fb5e939 remove cicd pytest xdist args (#2201)
* remove cicd pytest xdist args

* Delete outputs
2024-12-19 11:44:53 -05:00
Wing Lian
bd2a594b89 use DataCollatorWithFlattening when not sample packing (#2167) 2024-12-17 17:46:44 -05:00
Wing Lian
3798229d85 handle torch_compile set to auto (#2172) [skip ci]
* handle torch_compile set to auto

* update docs [skip ci]

* add tests
2024-12-17 16:42:41 -05:00
NanoCode012
10cfecf02e fix: use apply_chat_template to find turn boundaries and allow tool_calling field (#2179) [skip ci]
* fix: use apply_chat_template to find turn boundaries and allow tool_calling field

* fix: keys to include in turn

* feat(doc): explicitly recommend setting train_on_eos and roles_to_train

* fix: eos not being masked for tool due to template padding

* chore: clear up docs

* fix: default messages format, train_on_eos: turn, and train on all assistant msg

* fix: properly warn if empty content

* feat: parametrize chat_template tests to test different tokenizers

* fix: set proper default for message key

* fix: update defaults to match load function

* fix: change defaults to use new

* feat: add tool_calling dataset

* feat: add tool_calling test

* fix: add handling of edge case of mistral tokenizer with only system prompt

* feat: refactor all test to follow source code

* fix: remove unnecessary eos_token from phi35

* fix test for phi3.5 since eos was dropped from chat_template

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
2024-12-17 16:42:21 -05:00
Wing Lian
339f3c67e2 dataset tags don't support https uris (#2195) 2024-12-17 13:58:53 -05:00