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[Fix] Fix errors about stop_words
#313
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LZHgrla
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[Fix] Fix related errors about
[Fix] Fix errors about Jan 11, 2024
stop_words
stop_words
pppppM
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Jan 12, 2024
LZHgrla
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Mar 11, 2024
* [Improve] Redesign the `prompt_template` (#294) * update * update cfgs * update * fix bugs * upload docs * rename * update * Revert "update cfgs" This reverts commit 93966aa. * update cfgs * update * rename * rename * fix bc * fix stop_word * fix * fix * Update prompt_template.md * [Fix] Fix errors about `stop_words` (#313) * fix bugs * Update mmbench.py * [Fix] Fix Mixtral LoRA setting (#312) set target_modules * [Feature] Support DeepSeek-MoE (#311) * support deepseek moe * update docs * update * update * [Fix] Set `torch.optim.AdamW` as the default optimizer (#318) fix * [FIx] Fix `pth_to_hf` for LLaVA model (#316) Update pth_to_hf.py * [Improve] Add `demo_data` examples (#278) * update examples * add examples * add json template config * rename * update * update * update * [Feature] Support InternLM2 (#321) * add cfgs * add internlm2 template * add dispatch * add docs * update readme * update * [Fix] Fix the resume of seed (#309) * fix * Update utils.py * [Feature] Accelerate `xtuner xxx` (#307) * accelerate cli * Update entry_point.py * Update entry_point.py --------- Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * [Fix] Fix InternLM2 url (#325) * fix * update * Update README.md * Update README_zh-CN.md * [Fix] Limit the version of python, `>=3.8, <3.11` (#327) update * [Fix] Add `trust_remote_code=True` for AutoModel (#328) update * [Docs] Improve README (#326) * update * Update README.md * Update README.md * Update README.md * Update README_zh-CN.md * update * update * fix pre-commit * update * bump verion to v0.1.12 (#323) bump v0.1.12 * set dev version (#329) Update version.py * [Docs] Add LLaVA-InternLM2 results (#332) * update results * update * Update internlm2_chat template (#339) Update internlm2 template * [Fix] Fix examples demo_data configs (#334) fix * bump version to v0.1.13 (#340) update * set dev version (#341) update * [Feature] More flexible `TrainLoop` (#348) * add new loop * rename * fix pre-commit * add max_keep_ckpts * fix * update cfgs * update examples * fix * update * update llava * update * update * update * update * [Feature]Support CEPH (#266) * support petrelfs * fix deepspeed save/load/resume * add ENV to toggle petrelfs * support hf save_pretrained * patch deepspeed engine * [Improve] Add `--repetition-penalty` for `xtuner chat` (#351) fix * [Feature] Support MMBench DDP Evaluate (#300) * support ddp mmbench evaluate * Update xtuner/tools/mmbench.py Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * Update xtuner/tools/mmbench.py Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * update minimum version of mmengine * Update runtime.txt --------- Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * [Fix] `KeyError` of `encode_fn` (#361) fix * [Fix] Fix `batch_size` of full fine-tuing LLaVA-InternLM2 (#360) fix * [Fix] Remove `system` for `alpaca_map_fn` (#363) update * [Fix] Use `DEFAULT_IMAGE_TOKEN` instead of `'<image>'` (#353) Update utils.py * [Feature] Efficient SFT (#302) * add local_attn_args_to_messagehub_hook * add internlm repo sampler * add internlm repo dataset and collate_fn * dispatch internlm1 and internlm2 local attn * add internlm2 config * add internlm1 and intenrlm2 config * add internlm2 template * fix replace_internlm1_rote bugs * add internlm1 and internlm2 config templates * change priority of EvaluateChatHook * fix docs * fix config * fix bug * set rotary_base according the latest internlm2 config * add llama local attn * add llama local attn * update intern_repo_dataset docs when using aliyun * support using both hf load_dataset and intern_repo packed_dataset * add configs * add opencompass doc * update opencompass doc * use T data order * use T data order * add config * add a tool to get data order * support offline processing untokenized dataset * add docs * add doc about only saving model weights * add doc about only saving model weights * dispatch mistral * add mistral template * add mistral template * fix torch_dtype * reset pre-commit-config * fix config * fix internlm_7b_full_intern_repo_dataset_template * update local_attn to varlen_attn * rename local_attn * fix InternlmRepoSampler and train.py to support resume * modify Packer to support varlen attn * support varlen attn in default pipeline * update mmengine version requirement to 0.10.3 * Update ceph.md * delete intern_repo_collate_fn * delete intern_repo_collate_fn * delete useless files * assert pack_to_max_length=True if use_varlen_attn=True * add varlen attn doc * add varlen attn to configs * delete useless codes * update * update * update configs * fix priority of ThroughputHook and flake8 ignore W504 * using map_fn to set length attr to dataset * support split=None in process_hf_dataset * add dataset_format_mapping * support preprocess ftdp and normal dataset * refactor process_hf_dataset * support pack dataset in process_untokenized_datasets * add xtuner_dataset_timeout * using gloo backend for monitored barrier * set gloo timeout * fix bugs * fix configs * refactor intern repo dataset docs * fix doc * fix lint --------- Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: pppppM <gjf_mail@126.com> * [Fix] Add `attention_mask` for `default_collate_fn` (#371) fix * [Fix] Update requirements (#369) Update runtime.txt * [Fix] Fix rotary_base, add `colors_map_fn` to `DATASET_FORMAT_MAPPING` and rename 'internlm_repo' to 'intern_repo' (#372) * fix * rename internlm_repo to intern_repo * add InternlmRepoSampler for preventing bc break * add how to install flash_attn to doc * update (#377) * Delete useless codes and refactor process_untokenized_datasets (#379) * delete useless codes * refactor process_untokenized_datasets: add ftdp to dataset-format * fix lint * [Feature] support flash attn 2 in internlm1, internlm2 and llama (#381) support flash attn 2 in internlm1, internlm2 and llama * [Fix] Fix installation docs of mmengine in `intern_repo_dataset.md` (#384) update * [Fix] Update InternLM2 `apply_rotary_pos_emb` (#383) update * [Feature] support saving eval output before save checkpoint (#385) * support saving eval output before save checkpoint * refactor * [Fix] lr scheduler setting (#394) * fix lr scheduler setting * fix more --------- Co-authored-by: zilong.guo <zilong.guo@zeron.ai> Co-authored-by: LZHgrla <linzhihao@pjlab.org.cn> * [Fix] Remove pre-defined `system` of `alpaca_zh_map_fn` (#395) fix * [Feature] Support `Qwen1.5` (#407) * rename * update docs * update template * update * add cfgs * update * update * [Fix] Fix no space in chat output using InternLM2. (#357) (#404) * [Fix] Fix no space in chat output using InternLM2. (#357) * Update chat.py * Update utils.py * Update utils.py * fix pre-commit --------- Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> Co-authored-by: LZHgrla <linzhihao@pjlab.org.cn> * [Fix] typo: `--system-prompt` to `--system-template` (#406) fix * [Improve] Add `output_with_loss` for dataset process (#408) update * [Fix] Fix dispatch to support transformers>=4.36 & Add USE_TRITON_KERNEL environment variable (#411) * dispatch support transformers>=4.36 * add USE_TRITON_KERNEL environment variable * raise RuntimeError use triton kernels on cpu * fix lint * [Feature]Add InternLM2-1_8b configs (#396) * [Feature]Add InternLM2-Chat-1_8b full config * [Feature]Add InternLM2-Chat-1_8b full config * update --------- Co-authored-by: LZHgrla <linzhihao@pjlab.org.cn> Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * [Fix] Fix `extract_json_objects` (#419) * [Fix] Fix pth_to_hf error (#426) fix * [Feature] Support `Gemma` (#429) * added gemma config and template * check config and make sure the consistancy * Update xtuner/configs/gemma/gemma_2b_base/gemma_2b_base_qlora_alpaca_e3.py Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * Update xtuner/configs/gemma/gemma_2b_base/gemma_2b_base_full_alpaca_e3.py Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * Update xtuner/configs/gemma/gemma_7b_base/gemma_7b_base_full_alpaca_e3.py Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * Update xtuner/configs/gemma/gemma_7b_base/gemma_7b_base_qlora_alpaca_e3.py Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * Update xtuner/utils/templates.py Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> * update * added required version * update * update --------- Co-authored-by: Zhihao Lin <36994684+LZHgrla@users.noreply.github.com> Co-authored-by: LZHgrla <linzhihao@pjlab.org.cn> * add refcoco to llava (#425) * add base dataset * update dataset generation * update refcoco * add convert refcooc * add eval_refcoco * add config * update dataset * fix bug * fix bug * update data prepare * fix error * refactor eval_refcoco * fix bug * fix error * update readme * add entry_point * update config * update config * update entry point * update * update doc * update --------- Co-authored-by: jacky <jacky@xx.com> * [Fix] Inconsistent BatchSize of `LengthGroupedSampler` (#436) update * bump version to v0.1.14 (#431) update * set dev version (#437) * Update version.py * Update version.py * [Bugs] Fix bugs when using EpochBasedRunner (#439) fix bugs when using epochbasedrunner * [Feature] Support processing ftdp dataset and custom dataset offline (#410) * support smart_tokenizer_and_embedding_resize * replace ast with json.loads * support list_dataset_format cli * add doc about ftdp and custom dataset * add custom dataset template * add args name to process_hf_dataset * use new process_untokenized_datasets * support tokenize_ftdp_datasets * add mistral_7b_w_tokenized_dataset config * update doc * update doc * add comments * fix data save path * smart_tokenizer_and_embedding_resize support zero3 * fix lint * add data format to internlm2_7b_full_finetune_custom_dataset_e1.py * add a data format example to configs associated with finetuning custom dataset * add a data format example to configs associated with finetuning custom dataset * fix lint * Update prompt_template.md (#441) 修改了一个错别字 * [Doc] Split finetune_custom_dataset.md to 6 parts (#445) * split finetune_custom_dataset.md to 6 parts * refactor custom_dataset and ftdp_dataset related docs * fix comments * fix pre-commit --------- Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: RangiLyu <lyuchqi@gmail.com> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: pppppM <gjf_mail@126.com> Co-authored-by: gzlong96 <30570937+gzlong96@users.noreply.github.com> Co-authored-by: zilong.guo <zilong.guo@zeron.ai> Co-authored-by: Ko Sung <34935911+KooSung@users.noreply.github.com> Co-authored-by: 不要葱姜蒜 <77671993+KMnO4-zx@users.noreply.github.com> Co-authored-by: fanqiNO1 <75657629+fanqiNO1@users.noreply.github.com> Co-authored-by: PommesPeter <54879512+PommesPeter@users.noreply.github.com> Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: xzw <62385492+aJupyter@users.noreply.github.com>
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