Commit Graph

571 Commits

Author SHA1 Message Date
Wing Lian
1a6309c8a6 cleanup the old multipack dataloader (#841) 2023-11-12 05:39:09 -05:00
Wing Lian
641e6f7e51 multipack w batch sampler (#795)
* test batch sampler w varying batch lens

* wip

* multipack batchsampler wip

* wip

* fix for prepare data loader to get correct # of steps based on gpues

* lint and clean up

* calculate len estimate

* fix total num steps calc

* add options for dataloader_num_workers and dataloader_pin_memory

* remove gitbook

* support prefetch_factor for dataloader optimization

* fix the kwarg
2023-11-07 20:27:40 -05:00
Wing Lian
b2430ce670 use accelerate logging for zero/main loggin only 2023-11-06 18:32:26 -05:00
Wing Lian
4c834bf25d cleanup verbosity a bit 2023-11-06 18:32:26 -05:00
Jason Stillerman
738a057674 Feat: Added Gradio support (#812)
* Added gradio support

* queuing and title

* pre-commit run
2023-11-04 23:59:22 -04:00
Wing Lian
cdc71f73c8 update table for rwkv4 support, fix process count for dataset (#822) 2023-11-04 23:45:44 -04:00
Wing Lian
964d858da0 fix model parallel (#816) 2023-11-02 21:34:22 -04:00
NanoCode012
10388a8daf fix(tokenizer): update log order after update (#806) 2023-10-31 13:21:20 +09:00
NanoCode012
637ed095a0 fix(config): Set eos/bos to tokenizer if different (#801)
* fix(config): Set eos/bos to tokenizer if different

* chore: fix lint
2023-10-29 21:32:37 +09:00
Wing Lian
827ec3d274 refactor neft patch to be more re-usable similar to trl's impl (#796) 2023-10-29 04:33:13 -04:00
MilesQLi
0800885e2f Update to adapt to sharegpt datasets with "assistant" rather than "gp… (#774)
* Update to adapt to sharegpt datasets with "assistant" rather than "gpt" as the machine answers.

* use a strict option for hanedling incorrect turn data

* chore: lint

---------

Co-authored-by: Wing Lian <wing.lian@gmail.com>
2023-10-27 22:00:16 -04:00
Casper
e50ab072e2 Create preprocess CLI (#785)
* Create preprocess CLI

* Print prompt template if debugging

* Add print for unsupported prompters

* Formatting

* Formatting

* Refactor variables

* Formatting

* Formatting

* Formatting

* Formatting
2023-10-26 09:35:42 -04:00
Casper
05bd6f1122 Threaded MultipackDistributedDataloader with prefetched samples (#759)
* Multithreading implementation [WIP]

* Added benchmarking

* 35% increased throughput

* Memory pinning

* Start threads in init

* Correct print of samples

* Sleep if queue is full

* Remove pin_memory (worse)

* Simplify logic to one thread

* Remove benchmark

* Use deque for constant speed

* Formatting

* Formatting

* Formatting

* Formatting

* Rollback to use queue

* Fix multi-epoch training

* Add num epochs arg

* Start thread in __iter__

* Formatting

* Use is_alive correctly

* Simplify loading thread
2023-10-26 07:49:52 +02:00
NanoCode012
11d1d607db chore: refactor truthy check and fix mypy (#780) 2023-10-24 12:28:40 +09:00
Wing Lian
6c81c61bc4 refactor setup trainer so we can add more hooks (#773)
* refactor setup trainer so we can add more hooks

* Remove stray comma
2023-10-23 17:38:41 -04:00
Wing Lian
2d8def68dc simplify by removing duplicate base_model_config (#772) 2023-10-23 01:42:38 -04:00
NanoCode012
44c9d0151a Fix: Warn when fullfinetune without adapter (#770) 2023-10-22 15:41:43 -04:00
Wing Lian
ca84cca2c0 convert exponential notation lr to floats (#771) 2023-10-22 15:37:03 -04:00
Casper
32eeeb5b64 Hotfix for not saving correctly (#762) 2023-10-22 13:22:32 -04:00
NanoCode012
9923b72649 Fix: eval table conflict with eval_sample_packing (#769) 2023-10-23 01:18:12 +09:00
Casper
15d3a654bf Implement fused modules (#747)
* MLP: Memory saving

* Remove RMSNorm restrictions

* Map packed weights to original

* FusedAttention module

* Simplify code

* Move fused modules

* Fix critical typo

* Split inplace

* Add FFT config

* Add validation of fused arguments

* Add fused arguments to config

* Update docs

* Fix validation logic

* Add fused modules to flash attn

* Only fuse during training

* Remove timing

* Formatting

* Formatting

* Formatting

* chore: lint

* chore: lint

* add e2e tests for fused llama

* no lora for tests

---------

Co-authored-by: Wing Lian <wing.lian@gmail.com>
2023-10-21 16:08:25 -04:00
Motoki Wu
e4d1585c4e Fix DeepSpeed Zero 3 Saving (#709)
* Update train.py

* add zero3 check

* chore: lint

---------

Co-authored-by: Wing Lian <wing.lian@gmail.com>
2023-10-19 19:18:24 -04:00
Wing Lian
70157ccb8f add a latest tag for regular axolotl image, cleanup extraneous print statement (#746) 2023-10-19 12:28:29 -04:00
seungduk.kim.2304
3a99495b05 improve: Enhance code readability of prompt_tokenizers.py (#707) 2023-10-19 08:12:17 -04:00
NanoCode012
440c3ab527 Fix(model): Linear detected and added to target module with rope linear (#738)
* Fix(model): Linear detected and added to target module with rope linear

* fix: exclude layer instead
2023-10-18 22:13:20 -04:00
Napuh
992d57f20a catch ConnectionError when checking dataset from HuggingFace (#743) 2023-10-18 22:11:54 -04:00
Casper
a045db0214 Mistral: Sliding Window Attention with Flash Attention and Sample Packing (#732)
* Implement Mistral FA + SWA + Sample Packing

* Handle unbroadcastable tensor

* chore: lint

* Simplify _prepare_decoder_attention_mask

* Uncomment window size

* Upgrade flash-attn to minimum of 2.3.0 to support SWA

* Add original condition to avoid error during inference

* chore: lint

* use torchscript to prevent oom

* chore: pylint

---------

Co-authored-by: Wing Lian <wing.lian@gmail.com>
2023-10-16 15:13:46 -04:00
Wing Lian
3553172e3c fixes for alpaca w chatml, and don't include attention_mask w mistral for flash attention (#728) 2023-10-14 09:27:07 -04:00
Wing Lian
f30afe4544 misc sharegpt fixes (#723)
* support for sharegpt with assistant talking first, better masking of assistant token, allow remap of roles from dataset

* invalid role is actually not possible

* update tokenized fixture for corrected labels
2023-10-13 11:04:39 -04:00
Maxime
3bd9528390 add noisy embedding (#721)
* add noisy embedding

* fix format

* Update README.md

* Update README.md

* linter issues

* caseus fixes

---------

Co-authored-by: Maxime <maxime@nope.no>
2023-10-13 10:00:42 -04:00
Wing Lian
1c412c7e9d improve handling of the prepared ds path and other cfg defaults (#701) 2023-10-13 07:46:07 -04:00
Jan Philipp Harries
490923fb78 Save Axolotl config as WandB artifact (#716) 2023-10-11 07:28:12 -04:00
NanoCode012
669f1d052c Fix: Higher vram usage for mistral and sample_packing (#691)
* Fix: Higher vram usage for mistral and sample_packing

* chore: update comment

* chore: lint
2023-10-06 12:33:43 -04:00
Wing Lian
2d60ba3a6e flash_attention + sample packing for stablelm 3b (#671)
* stablelm epoch fa patch

* is causal for fa

* working stablelm fa w packing

* chore: pre-commit linting
2023-10-05 16:03:43 -04:00
NanoCode012
eb480dfd68 Fix: ValueError when FA + Mistral when padding_side=right (#681)
* Fix: ValueError when FA + Mistral when padding_side=right

* fix: remove tokenizer class check
2023-10-06 04:12:54 +09:00
NanoCode012
69fac9a020 Fix: Future deprecation warning with use_auth_token (#680) 2023-10-06 03:56:18 +09:00
NanoCode012
e0b7eeabfd Fix(tokenizer): Set rstrip,lstrip,norm to False (#678) 2023-10-06 03:50:49 +09:00
NanoCode012
e62d5901b5 chore: Clean up repetitive model kwargs (#670) 2023-10-04 20:41:26 +09:00
NanoCode012
697c50d408 Feat: Allow usage of native Mistral FA when no sample_packing (#669)
* Allow usage of native Mistral FA when no sample_packing

* fix: do not apply custom patch when sample_pack off

* chore: lint

* chore: pin transformer to v4.35.0.dev0

* fix: split sample_packing to separate test
2023-10-04 20:40:47 +09:00
Wing Lian
2642caedf2 refactor to set eval_batch_size earlier if unset, so we can warn if mismatched (#662) 2023-10-02 21:08:07 -04:00
Wing Lian
f34648c8b9 remove patch fix for phi (#664) 2023-10-02 21:07:41 -04:00
Wing Lian
e50a64e85e prepared dataset caching, other misc fixes (#665)
* prepared dataset caching, other misc fixes

* also don't load from disk cache unless explicit
2023-10-02 21:07:24 -04:00
Kyle Corbitt
9ec20777ba Make dataset_processes configurable (#651)
I'm using the Axolotl script to train models on https://modal.com serverless GPUs. Unfortunately, their environment seems to have some kind of bug where if I try to run `datasets.filter` with too high a `num_proc`, it throws an error and dies.

This PR adds a new configuration option `dataset_processes`, which lets you explicitly set the number of processes used to map/filter the dataset. If not included, this defaults to the current behavior of setting that to `os.cpu_count()`.
2023-09-29 00:22:22 -04:00
ich
590d6032fd Fix bug when using pretokenized datasets (#652)
* fix pretokenized datasets readme

* check if dataset type is not set to handle pretokenized datasets
2023-09-28 22:54:10 -04:00
Wing Lian
409ca0f21c add support for defined train split (#654) 2023-09-28 20:14:14 -04:00
Wing Lian
8662e8ffe8 don't strip the prompt for check since we don't strip to tokenize anymore (#650) 2023-09-28 12:21:51 -04:00
Wing Lian
b2edaaeff6 fix for flash attn w mistral w/o sammple packing (#648) 2023-09-28 10:57:37 -04:00
NanoCode012
eb41f76f92 Feat: Add example for Mistral (#644)
* Feat: Add example for Mistral

* chore: turn off flash

* chore: add is_mistral_derived_model

* chore: update following PR
2023-09-28 20:15:00 +09:00
NanoCode012
383f88d7a7 Fix(cfg): Add validation for save_strategy and eval_strategy (#633)
* Fix(cfg): Check save_strategy cfg conflict with save_steps

* Fix(cfg): Check evaluation_strategy cfg conflict with eval_steps

* chore: add extra check for steps only
2023-09-28 10:14:41 +09:00
Wing Lian
b6ab8aad62 Mistral flash attn packing (#646)
* add mistral monkeypatch

* add arg for decoder attention masl

* fix lint for duplicate code

* make sure to update transformers too

* tweak install for e2e

* move mistral patch to conditional
2023-09-27 18:41:00 -04:00