huggingface/trl v0.8.0

v0.8.0: KTOTrainer, TRL CLIs, QLoRA + FSDP !

on GitHub

New Trainer: KTOTrainer:

We recently introduced the KTOTrainer in order to run KTO algorithms on LLMs !

• fix bugs in KTO implementation by @kawine in #1380
• [KTO] merge eval dataset only if it exists by @kashif in #1383
• [KTO] prevent nans from appearing in metrics by @kawine in #1386
• Kto trainer by @kashif in #1181
• [KTO] fix tokenization bugs by @kawine in #1418
• [KTO] model init when args are given by @kashif in #1413
• [KTO] fix various bugs by @kawine in #1402

TRL Command Line Interfaces (CLIs):

Run SFT, DPO and chat with your aligned model directly from the terminal:

SFT:

trl sft --model_name_or_path facebook/opt-125m --dataset_name imdb --output_dir opt-sft-imdb

DPO:

trl dpo --model_name_or_path facebook/opt-125m --dataset_name trl-internal-testing/Anthropic-hh-rlhf-processed --output_dir opt-sft-hh-rlhf 

Chat:

trl chat --model_name_or_path Qwen/Qwen1.5-0.5B-Chat

Read more about CLI in the relevant documentation section or use --help for more details.

• FEAT: Add CLIs in TRL ! by @younesbelkada in #1419
• CI / CLI: Properly raise error when CLI tests failed by @younesbelkada in #1446
• chat cli by @lvwerra in #1431
• Fix yaml parsing issue by @younesbelkada in #1450
• model --> model_name_or_path by @lvwerra in #1452
• FEAT: Update README to add DPO + CLIs by @younesbelkada in #1448

FSDP + QLoRA:

SFTTrainer now supports FSDP + QLoRA

• Add support for FSDP+QLoRA and DeepSpeed ZeRO3+QLoRA by @pacman100 in #1416

Other fixes

• set dev version by @younesbelkada in #1332
• Update stack llama 2 example to reflect #aa35fec by @nautsimon in #1333
• FIX: More user friendly error when users don't have PEFT by @younesbelkada in #1350
• fix 8-bit multi-gpu training bug by @fancyerii in #1353
• set seed in sft/dpo/reward_modeling to make result reproducable by @sywangyi in #1357
• Fix transformers version checking for Python < 3.8 by @samuki in #1363
• Add some arguments for support XPU by @yuanwu2017 in #1366
• ENH: Send Docker and transformers main CI results on slack after merging on main by @younesbelkada in #1370
• FEAT: [SFTTrainer] Add eval_packing by @younesbelkada in #1369
• FEAT: force_use_ref_model for power users by @younesbelkada in #1367
• FIX: fix after #1370 by @younesbelkada in #1372
• FIX: Change ci to fail-fast=False by @younesbelkada in #1373
• FIX: Fix the CI again .. by @younesbelkada in #1374
• Log ddpo reward as float to fix numpy conversion during bf16 training by @skavulya in #1391
• Fix the pad_token_id error by @yuanwu2017 in #1394
• FIX [RewardModeling] Fix RM script for PEFT by @younesbelkada in #1393
• Fix import error from deprecation in transformers by @lewtun in #1415
• CI: Fix CI on main by @younesbelkada in #1422
• [Kto] torch_dtype kwargs fix by @kashif in #1429
• Create standard dataset for TRL by @vwxyzjn in #1424
• FIX: fix doc build on main by @younesbelkada in #1437
• Fix PPOTrainer README example by @nikihowe in #1441
• Before update the tr_loss, make sure tr_loss_step is in the same device. by @pengwei715 in #1439
• Release: v0.8.0 by @younesbelkada in #1453

New Contributors

• @nautsimon made their first contribution in #1333
• @fancyerii made their first contribution in #1353
• @samuki made their first contribution in #1363
• @yuanwu2017 made their first contribution in #1366
• @kawine made their first contribution in #1380
• @skavulya made their first contribution in #1391
• @pengwei715 made their first contribution in #1439

Full Changelog: v0.7.11...v0.8.0