柚子快報邀請碼778899分享：【llama
柚子快報邀請碼778899分享：【llama
訓(xùn)練llama factory配置文件
文件：examples/train_lora/qwen2vl_lora_sft.yaml
### model
model_name_or_path: qwen2_vl/model_72b
trust_remote_code: true
### method
stage: sft
do_train: true
finetuning_type: lora
lora_target: all
### dataset
dataset: car_item # video: mllm_video_demo
template: qwen2_vl
cutoff_len: 2048
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
### output
output_dir: saves/qwen2_vl-72b/lora/sft
logging_steps: 10
save_steps: 500
plot_loss: true
overwrite_output_dir: true
### train
per_device_train_batch_size: 1
gradient_accumulation_steps: 1
learning_rate: 1.0e-4
num_train_epochs: 25.0
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: True
ddp_timeout: 180000000
deepspeed: examples/deepspeed/ds_z3_config.json
#有坑，默認的配置文件沒有設(shè)置deepspeed參數(shù)，會每張顯卡都并行加載一個72B模型導(dǎo)致顯卡OOM，經(jīng)過查閱文獻設(shè)置deepspeed分布式訓(xùn)練參數(shù)，有五種，訓(xùn)練大模型設(shè)置顯存最低的，訓(xùn)練7b可以設(shè)置為ds_z0_config.json
#ds_z0_config.json ds_z2_config.json ds_z2_offload_config.json ds_z3_config.json ds_z3_offload_config.json
### eval
val_size: 0.1
per_device_eval_batch_size: 0
eval_strategy: steps
eval_steps: 500
llamafactory-cli train examples/train_lora/qwen2vl_lora_sft.yaml
批量推理
文件：examples/train_lora/qwen2vl_lora_sft.yaml
### model
model_name_or_path: qwen2_vl/model_7b
trust_remote_code: true
# method
stage: sft
do_train: false
do_predict: true
predict_with_generate: true
finetuning_type: full
# dataset
eval_dataset: car_item #修改為測試集
template: qwen2_vl
cutoff_len: 2048
max_samples: 200
overwrite_cache: true
preprocessing_num_workers: 16
# output
output_dir: saves/qwen2_vl-7b/lora/sft-infer-1 #修改為保存地址
logging_steps: 1
overwrite_output_dir: true
# eval
per_device_eval_batch_size: 4
# generation
max_new_tokens: 128
temperature: 0.1
top_k: 1
```bash
llamafactory-cli train examples/train_lora/qwen2vl_lora_sft.yaml
# 總結(jié)
總的來說,訓(xùn)練時顯存不足需要設(shè)置分布式訓(xùn)練方式，deepspeed。
推理時，設(shè)置eval_dataset eval相關(guān)參數(shù)。
另外數(shù)據(jù)集要進行預(yù)處理，搞成標(biāo)準(zhǔn)llama處理格式，加載到data/dataset_info.json中
```bash
{
"identity": {
"file_name": "identity.json"
},
"alpaca_en_demo": {
"file_name": "alpaca_en_demo.json"
},
"alpaca_zh_demo": {
"file_name": "alpaca_zh_demo.json"
},
"glaive_toolcall_en_demo": {
"file_name": "glaive_toolcall_en_demo.json",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"tools": "tools"
}
},
"glaive_toolcall_zh_demo": {
"file_name": "glaive_toolcall_zh_demo.json",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"tools": "tools"
}
},
"car_item": {
"file_name": "car_item/train.json",
"columns": {
"images": "image",
"prompt": "instruction",
"query": "input",
"response": "output"
}
},
"mllm_demo": {
"file_name": "mllm_demo.json",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"mllm_video_demo": {
"file_name": "mllm_video_demo.json",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"videos": "videos"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"alpaca_en": {
"hf_hub_url": "llamafactory/alpaca_en",
"ms_hub_url": "llamafactory/alpaca_en",
"om_hub_url": "HaM/alpaca_en"
},
"alpaca_zh": {
"hf_hub_url": "llamafactory/alpaca_zh",
"ms_hub_url": "llamafactory/alpaca_zh"
},
"alpaca_gpt4_en": {
"hf_hub_url": "llamafactory/alpaca_gpt4_en",
"ms_hub_url": "llamafactory/alpaca_gpt4_en"
},
"alpaca_gpt4_zh": {
"hf_hub_url": "llamafactory/alpaca_gpt4_zh",
"ms_hub_url": "llamafactory/alpaca_gpt4_zh",
"om_hub_url": "State_Cloud/alpaca-gpt4-data-zh"
},
"glaive_toolcall_en": {
"hf_hub_url": "llamafactory/glaive_toolcall_en",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"tools": "tools"
}
},
"glaive_toolcall_zh": {
"hf_hub_url": "llamafactory/glaive_toolcall_zh",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"tools": "tools"
}
},
"lima": {
"hf_hub_url": "llamafactory/lima",
"formatting": "sharegpt"
},
"guanaco": {
"hf_hub_url": "JosephusCheung/GuanacoDataset",
"ms_hub_url": "AI-ModelScope/GuanacoDataset"
},
"belle_2m": {
"hf_hub_url": "BelleGroup/train_2M_CN",
"ms_hub_url": "AI-ModelScope/train_2M_CN"
},
"belle_1m": {
"hf_hub_url": "BelleGroup/train_1M_CN",
"ms_hub_url": "AI-ModelScope/train_1M_CN"
},
"belle_0.5m": {
"hf_hub_url": "BelleGroup/train_0.5M_CN",
"ms_hub_url": "AI-ModelScope/train_0.5M_CN"
},
"belle_dialog": {
"hf_hub_url": "BelleGroup/generated_chat_0.4M",
"ms_hub_url": "AI-ModelScope/generated_chat_0.4M"
},
"belle_math": {
"hf_hub_url": "BelleGroup/school_math_0.25M",
"ms_hub_url": "AI-ModelScope/school_math_0.25M"
},
"belle_multiturn": {
"script_url": "belle_multiturn",
"formatting": "sharegpt"
},
"ultra_chat": {
"script_url": "ultra_chat",
"formatting": "sharegpt"
},
"open_platypus": {
"hf_hub_url": "garage-bAInd/Open-Platypus",
"ms_hub_url": "AI-ModelScope/Open-Platypus"
},
"codealpaca": {
"hf_hub_url": "sahil2801/CodeAlpaca-20k",
"ms_hub_url": "AI-ModelScope/CodeAlpaca-20k"
},
"alpaca_cot": {
"hf_hub_url": "QingyiSi/Alpaca-CoT",
"ms_hub_url": "AI-ModelScope/Alpaca-CoT"
},
"openorca": {
"hf_hub_url": "Open-Orca/OpenOrca",
"ms_hub_url": "AI-ModelScope/OpenOrca",
"columns": {
"prompt": "question",
"response": "response",
"system": "system_prompt"
}
},
"slimorca": {
"hf_hub_url": "Open-Orca/SlimOrca",
"formatting": "sharegpt"
},
"mathinstruct": {
"hf_hub_url": "TIGER-Lab/MathInstruct",
"ms_hub_url": "AI-ModelScope/MathInstruct",
"columns": {
"prompt": "instruction",
"response": "output"
}
},
"firefly": {
"hf_hub_url": "YeungNLP/firefly-train-1.1M",
"columns": {
"prompt": "input",
"response": "target"
}
},
"wikiqa": {
"hf_hub_url": "wiki_qa",
"columns": {
"prompt": "question",
"response": "answer"
}
},
"webqa": {
"hf_hub_url": "suolyer/webqa",
"ms_hub_url": "AI-ModelScope/webqa",
"columns": {
"prompt": "input",
"response": "output"
}
},
"webnovel": {
"hf_hub_url": "zxbsmk/webnovel_cn",
"ms_hub_url": "AI-ModelScope/webnovel_cn"
},
"nectar_sft": {
"hf_hub_url": "AstraMindAI/SFT-Nectar",
"ms_hub_url": "AI-ModelScope/SFT-Nectar"
},
"deepctrl": {
"ms_hub_url": "deepctrl/deepctrl-sft-data"
},
"adgen_train": {
"hf_hub_url": "HasturOfficial/adgen",
"ms_hub_url": "AI-ModelScope/adgen",
"split": "train",
"columns": {
"prompt": "content",
"response": "summary"
}
},
"adgen_eval": {
"hf_hub_url": "HasturOfficial/adgen",
"ms_hub_url": "AI-ModelScope/adgen",
"split": "validation",
"columns": {
"prompt": "content",
"response": "summary"
}
},
"sharegpt_hyper": {
"hf_hub_url": "totally-not-an-llm/sharegpt-hyperfiltered-3k",
"formatting": "sharegpt"
},
"sharegpt4": {
"hf_hub_url": "shibing624/sharegpt_gpt4",
"ms_hub_url": "AI-ModelScope/sharegpt_gpt4",
"formatting": "sharegpt"
},
"ultrachat_200k": {
"hf_hub_url": "HuggingFaceH4/ultrachat_200k",
"ms_hub_url": "AI-ModelScope/ultrachat_200k",
"formatting": "sharegpt",
"columns": {
"messages": "messages"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"agent_instruct": {
"hf_hub_url": "THUDM/AgentInstruct",
"ms_hub_url": "ZhipuAI/AgentInstruct",
"formatting": "sharegpt"
},
"lmsys_chat": {
"hf_hub_url": "lmsys/lmsys-chat-1m",
"ms_hub_url": "AI-ModelScope/lmsys-chat-1m",
"formatting": "sharegpt",
"columns": {
"messages": "conversation"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "human",
"assistant_tag": "assistant"
}
},
"evol_instruct": {
"hf_hub_url": "WizardLM/WizardLM_evol_instruct_V2_196k",
"ms_hub_url": "AI-ModelScope/WizardLM_evol_instruct_V2_196k",
"formatting": "sharegpt"
},
"glaive_toolcall_100k": {
"hf_hub_url": "hiyouga/glaive-function-calling-v2-sharegpt",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"tools": "tools"
}
},
"cosmopedia": {
"hf_hub_url": "HuggingFaceTB/cosmopedia",
"columns": {
"prompt": "prompt",
"response": "text"
}
},
"stem_zh": {
"hf_hub_url": "hfl/stem_zh_instruction"
},
"ruozhiba_gpt4": {
"hf_hub_url": "hfl/ruozhiba_gpt4_turbo"
},
"neo_sft": {
"hf_hub_url": "m-a-p/neo_sft_phase2",
"formatting": "sharegpt"
},
"magpie_pro_300k": {
"hf_hub_url": "Magpie-Align/Magpie-Pro-300K-Filtered",
"formatting": "sharegpt"
},
"magpie_ultra": {
"hf_hub_url": "argilla/magpie-ultra-v0.1",
"columns": {
"prompt": "instruction",
"response": "response"
}
},
"web_instruct": {
"hf_hub_url": "TIGER-Lab/WebInstructSub",
"columns": {
"prompt": "question",
"response": "answer"
}
},
"openo1_sft": {
"hf_hub_url": "llamafactory/OpenO1-SFT",
"ms_hub_url": "llamafactory/OpenO1-SFT",
"columns": {
"prompt": "prompt",
"response": "response"
}
},
"llava_1k_en": {
"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
"subset": "en",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"llava_1k_zh": {
"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
"subset": "zh",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"llava_150k_en": {
"hf_hub_url": "BUAADreamer/llava-en-zh-300k",
"subset": "en",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"llava_150k_zh": {
"hf_hub_url": "BUAADreamer/llava-en-zh-300k",
"subset": "zh",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"pokemon_cap": {
"hf_hub_url": "llamafactory/pokemon-gpt4o-captions",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"images": "images"
}
},
"mllm_pt_demo": {
"hf_hub_url": "BUAADreamer/mllm_pt_demo",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"oasst_de": {
"hf_hub_url": "mayflowergmbh/oasst_de"
},
"dolly_15k_de": {
"hf_hub_url": "mayflowergmbh/dolly-15k_de"
},
"alpaca-gpt4_de": {
"hf_hub_url": "mayflowergmbh/alpaca-gpt4_de"
},
"openschnabeltier_de": {
"hf_hub_url": "mayflowergmbh/openschnabeltier_de"
},
"evol_instruct_de": {
"hf_hub_url": "mayflowergmbh/evol-instruct_de"
},
"dolphin_de": {
"hf_hub_url": "mayflowergmbh/dolphin_de"
},
"booksum_de": {
"hf_hub_url": "mayflowergmbh/booksum_de"
},
"airoboros_de": {
"hf_hub_url": "mayflowergmbh/airoboros-3.0_de"
},
"ultrachat_de": {
"hf_hub_url": "mayflowergmbh/ultra-chat_de"
},
"dpo_en_demo": {
"file_name": "dpo_en_demo.json",
"ranking": true,
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"chosen": "chosen",
"rejected": "rejected"
}
},
"dpo_zh_demo": {
"file_name": "dpo_zh_demo.json",
"ranking": true,
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"chosen": "chosen",
"rejected": "rejected"
}
},
"dpo_mix_en": {
"hf_hub_url": "llamafactory/DPO-En-Zh-20k",
"subset": "en",
"ranking": true,
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"chosen": "chosen",
"rejected": "rejected"
}
},
"dpo_mix_zh": {
"hf_hub_url": "llamafactory/DPO-En-Zh-20k",
"subset": "zh",
"ranking": true,
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"chosen": "chosen",
"rejected": "rejected"
}
},
"ultrafeedback": {
"hf_hub_url": "llamafactory/ultrafeedback_binarized",
"ms_hub_url": "llamafactory/ultrafeedback_binarized",
"ranking": true,
"columns": {
"prompt": "instruction",
"chosen": "chosen",
"rejected": "rejected"
}
},
"rlhf_v": {
"hf_hub_url": "llamafactory/RLHF-V",
"ranking": true,
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"chosen": "chosen",
"rejected": "rejected",
"images": "images"
}
},
"vlfeedback": {
"hf_hub_url": "Zhihui/VLFeedback",
"ranking": true,
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"chosen": "chosen",
"rejected": "rejected",
"images": "images"
}
},
"orca_pairs": {
"hf_hub_url": "Intel/orca_dpo_pairs",
"ranking": true,
"columns": {
"prompt": "question",
"chosen": "chosen",
"rejected": "rejected",
"system": "system"
}
},
"hh_rlhf_en": {
"script_url": "hh_rlhf_en",
"ranking": true,
"columns": {
"prompt": "instruction",
"chosen": "chosen",
"rejected": "rejected",
"history": "history"
}
},
"nectar_rm": {
"hf_hub_url": "AstraMindAI/RLAIF-Nectar",
"ms_hub_url": "AI-ModelScope/RLAIF-Nectar",
"ranking": true
},
"orca_dpo_de": {
"hf_hub_url": "mayflowergmbh/intel_orca_dpo_pairs_de",
"ranking": true
},
"kto_en_demo": {
"file_name": "kto_en_demo.json",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"kto_tag": "label"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"kto_mix_en": {
"hf_hub_url": "argilla/kto-mix-15k",
"formatting": "sharegpt",
"columns": {
"messages": "completion",
"kto_tag": "label"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"ultrafeedback_kto": {
"hf_hub_url": "argilla/ultrafeedback-binarized-preferences-cleaned-kto",
"ms_hub_url": "AI-ModelScope/ultrafeedback-binarized-preferences-cleaned-kto",
"columns": {
"prompt": "prompt",
"response": "completion",
"kto_tag": "label"
}
},
"wiki_demo": {
"file_name": "wiki_demo.txt",
"columns": {
"prompt": "text"
}
},
"c4_demo": {
"file_name": "c4_demo.json",
"columns": {
"prompt": "text"
}
},
"refinedweb": {
"hf_hub_url": "tiiuae/falcon-refinedweb",
"columns": {
"prompt": "content"
}
},
"redpajama_v2": {
"hf_hub_url": "togethercomputer/RedPajama-Data-V2",
"columns": {
"prompt": "raw_content"
},
"subset": "default"
},
"wikipedia_en": {
"hf_hub_url": "olm/olm-wikipedia-20221220",
"ms_hub_url": "AI-ModelScope/olm-wikipedia-20221220",
"columns": {
"prompt": "text"
}
},
"wikipedia_zh": {
"hf_hub_url": "pleisto/wikipedia-cn-20230720-filtered",
"ms_hub_url": "AI-ModelScope/wikipedia-cn-20230720-filtered",
"columns": {
"prompt": "completion"
}
},
"pile": {
"hf_hub_url": "monology/pile-uncopyrighted",
"ms_hub_url": "AI-ModelScope/pile",
"columns": {
"prompt": "text"
}
},
"skypile": {
"hf_hub_url": "Skywork/SkyPile-150B",
"ms_hub_url": "AI-ModelScope/SkyPile-150B",
"columns": {
"prompt": "text"
}
},
"fineweb": {
"hf_hub_url": "HuggingFaceFW/fineweb",
"columns": {
"prompt": "text"
}
},
"fineweb_edu": {
"hf_hub_url": "HuggingFaceFW/fineweb-edu",
"columns": {
"prompt": "text"
}
},
"the_stack": {
"hf_hub_url": "bigcode/the-stack",
"ms_hub_url": "AI-ModelScope/the-stack",
"columns": {
"prompt": "content"
}
},
"starcoder_python": {
"hf_hub_url": "bigcode/starcoderdata",
"ms_hub_url": "AI-ModelScope/starcoderdata",
"columns": {
"prompt": "content"
},
"folder": "python"
}
}
合并
llamafactory-cli export examples/merge_lora/qwen2vl_lora_sft.yaml
柚子快報邀請碼778899分享：【llama
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