From 090528b6da05bfbfe87401df9c39d6b727674367 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 9 Sep 2026 18:01:15 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: lldois/v47_v29_clean_world_guard_lr35e7_ep035 Source: Original Platform --- .gitattributes | 36 + README.md | 58 + all_results.json | 8 + chat_template.jinja | 89 + config.json | 63 + experiment_recipe.json | 114 + generation_config.json | 12 + model.safetensors | 3 + ...36966.ubuntu-System-Product-Name.1409296.0 | 3 + tokenizer.json | 3 + tokenizer_config.json | 16 + train.log | 2342 +++++++++++++++++ train_results.json | 8 + trainer_log.jsonl | 3 + trainer_state.json | 57 + training_args.bin | 3 + training_loss.png | Bin 0 -> 38258 bytes 17 files changed, 2818 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 all_results.json create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 experiment_recipe.json create mode 100644 generation_config.json create mode 100644 model.safetensors create mode 100644 runs/Jul16_01-36-06_ubuntu-System-Product-Name/events.out.tfevents.1784136966.ubuntu-System-Product-Name.1409296.0 create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 train.log create mode 100644 train_results.json create mode 100644 trainer_log.jsonl create mode 100644 trainer_state.json create mode 100644 training_args.bin create mode 100644 training_loss.png diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs 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merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..2e7e7c4 --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +library_name: transformers +license: other +base_model: lldois/v29_v19_user_world_guard_lr8e7_ep018 +tags: +- llama-factory +- full +- generated_from_trainer +model-index: +- name: v47_v29_clean_world_guard_lr35e7_ep035 + results: [] +--- + + + +# v47_v29_clean_world_guard_lr35e7_ep035 + +This model is a fine-tuned version of [lldois/v29_v19_user_world_guard_lr8e7_ep018](https://huggingface.co/lldois/v29_v19_user_world_guard_lr8e7_ep018) on the exp_v47_clean_world_guard dataset. + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 3.5e-07 +- train_batch_size: 1 +- eval_batch_size: 8 +- seed: 202607197 +- gradient_accumulation_steps: 4 +- total_train_batch_size: 4 +- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 0.03 +- num_epochs: 0.35 + +### Training results + + + +### Framework versions + +- Transformers 5.6.0 +- Pytorch 2.7.1+cu126 +- Datasets 4.0.0 +- Tokenizers 0.22.2 diff --git a/all_results.json b/all_results.json new file mode 100644 index 0000000..eb42fcf --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 0.3623693379790941, + "total_flos": 1.2298497723426816e+16, + "train_loss": 1.9200461094196026, + "train_runtime": 208.2018, + "train_samples_per_second": 0.482, + "train_steps_per_second": 0.125 +} \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..01be9b3 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,89 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- messages[0].content + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if message.content is string %} + {%- set content = message.content %} + {%- else %} + {%- set content = '' %} + {%- endif %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..c4eb20b --- /dev/null +++ b/config.json @@ -0,0 +1,63 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + 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"876ac568a0c26891e5ad3475a7636ef37fe784f7b956d0c3285efc2d3a1e2c90", + "requested_components": { + "general_cn_direct": 1300, + "general_cn_think": 900, + "general_other_direct": 1600, + "general_other_think": 1100, + "old_rec_live_direct": 250, + "old_rec_live_think": 100, + "old_rec_ad_direct": 250, + "old_rec_ad_think": 100, + "old_rec_goods_direct": 250, + "old_rec_goods_think": 100, + "old_rec_video_direct": 250, + "old_rec_video_think": 100, + "old_user_array_direct": 350, + "old_user_logic_direct": 350, + "old_user_logic_think": 100, + "old_item_goods_direct": 250, + "old_item_goods_think": 50, + "old_item_live_direct": 250, + "old_item_live_think": 50, + "old_item_ad_direct": 250, + "old_item_ad_think": 50, + "old_item_video_direct": 250, + "old_item_video_think": 50, + "r3_balanced_ad_direct": 150, + "r3_balanced_ad_think": 50, + "r3_balanced_live_direct": 200, + "r3_balanced_live_think": 250, + "r3_balanced_goods_direct": 100, + "r3_balanced_goods_think": 150, + "r3_balanced_video_direct": 150, + "r3_balanced_video_think": 150 + }, + "groups": { + "old_item_clean": 1200, + "general_clean": 4900, + "old_rec_clean": 1400, + "r3_clean": 1200, + "old_user_clean": 800 + }, + "variants": { + "old_item_goods_direct": 250, + "strict_single_turn_direct": 2900, + "old_item_ad_cot": 50, + "old_rec_live_cot": 100, + "strict_single_turn_cot": 2000, + "old_item_ad_direct": 250, + "old_rec_goods_cot": 100, + "old_rec_video_cot": 100, + "strict_video_cot": 150, + "old_item_live_direct": 250, + "strict_goods_cot": 150, + "old_user_logic_direct": 350, + "old_item_video_direct": 250, + "old_rec_video_direct": 250, + "old_rec_live_direct": 250, + "old_user_array_direct": 350, + "old_rec_goods_direct": 250, + "strict_goods_direct": 100, + "old_item_video_cot": 50, + "old_rec_ad_cot": 100, + "old_item_live_cot": 50, + "strict_live_cot": 250, + "strict_video_direct": 150, + "old_rec_ad_direct": 250, + "strict_live_direct": 200, + "strict_ad_cot": 50, + "strict_ad_direct": 150, + "old_item_goods_cot": 50, + "old_user_logic_cot": 100 + }, + "routes": { + "no_think": 6200, + "think": 3300 + }, + "domains": { + "goods": 900, + "ad": 850, + "live": 1100, + "video": 950 + }, + "canonical_duplicates": 0, + "output_chars_p50": 526, + "output_chars_p90": 1804, + "seed": 202607254 + }, + "learning_rate": "3.5e-7", + "epochs": 0.35, + "stages": null, + "note": "World-knowledge guard with strict single-turn paired general data, exact/template deduplication, bounded traces, and a low-dose task-format replay shell.", + "cot_policy": "Preserve meaningful CoT for /think and pure final outputs for /no_think.", + "checkpoint_policy": "save_strategy=no; only the final model is retained.", + "script": "/home/ll/llm4rec/experiments/run_experiments.py", + "script_sha256": "78d5f1619c271f19b4204ff4fa210ff4bbbadd81cdc0221e5f40cee201fc9877", + "data_builder": "/home/ll/llm4rec/experiments/source_data.py", + "data_builder_sha256": 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UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. + import pkg_resources +[transformers] warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +[transformers] `logging_dir` is deprecated and will be removed in v5.2. Please set `TENSORBOARD_LOGGING_DIR` instead. +[INFO|2026-07-16 01:35:45] llamafactory.hparams.parser:523 >> Process rank: 0, world size: 1, device: cuda:0, distributed training: False, compute dtype: torch.bfloat16 +[INFO|configuration_utils.py:769] 2026-07-16 01:35:45,281 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:35:45,283 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 176253 +} + +[INFO|configuration_utils.py:769] 2026-07-16 01:35:45,943 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:35:45,944 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 176253 +} + +[INFO|configuration_utils.py:769] 2026-07-16 01:35:45,944 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:35:45,973 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 176253 +} + +[INFO|2026-07-16 01:35:46] llamafactory.data.loader:144 >> Loading dataset /home/ll/llm4rec/experiments/data/v47_clean_world_guard.jsonl... +Setting num_proc from 16 back to 1 for the train split to disable multiprocessing as it only contains one shard. + Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 9500 examples [00:00, 211901.13 examples/s] + Converting format of dataset (num_proc=16): 0%| | 0/9500 [00:00user +【用户交互历史】： +【2025-03-18】 + --:-- [直播-关注] <|living_begin|> +【2025-06-28】 + --:-- [直播-关注] <|living_begin|> +【2025-07-27】 + --:-- [直播-关注] <|living_begin|> +【2025-07-29】 + --:-- [直播-关注] <|living_begin|> +【2025-08-10】 + --:-- [直播-关注] <|living_begin|> +【2025-10-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-13】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-23】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-05】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-14】 + --:-- [商品-购买] <|prod_begin|> + 06:52 [广告-深度转化] <|ad_begin|> + 12:44 [广告-深度转化] <|ad_begin|> + 12:48 [广告-深度转化] <|ad_begin|> +【2025-12-15】 + 05:04 [广告-深度转化] <|ad_begin|> + 11:59 [广告-深度转化] <|ad_begin|> +【2025-12-16】 + 10:08 [广告-深度转化] <|ad_begin|> +【2025-12-17】 + 11:48 [广告-深度转化] <|ad_begin|> + 12:01 [广告-深度转化] <|ad_begin|> +【2025-12-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-19】 + --:-- [直播-关注] <|living_begin|> +【2025-12-23】 + 12:17 [广告-深度转化] <|ad_begin|> +【2025-12-26】 + 08:52 [广告-深度转化] <|ad_begin|> +【2025-12-27】 + 01:44 [广告-深度转化] <|ad_begin|> + 02:33 [广告-深度转化] <|ad_begin|> + 05:36 [广告-深度转化] <|ad_begin|> +【2025-12-28】 + 02:35 [广告-深度转化] <|ad_begin|> + 05:13 [广告-深度转化] <|ad_begin|> + 06:19 [广告-深度转化] <|ad_begin|> + 10:36 [广告-深度转化] <|ad_begin|> +【2025-12-29】 + 05:13 [广告-深度转化] <|ad_begin|> + 11:42 [广告-深度转化] <|ad_begin|> + 13:33 [广告-深度转化] <|ad_begin|> + 13:58 [广告-深度转化] <|ad_begin|> + 14:03 [广告-深度转化] <|ad_begin|> +【2025-12-31】 + 09:32 [广告-深度转化] <|ad_begin|> + 10:17 [广告-深度转化] <|ad_begin|> +【2026-01-05】 + 09:40 [广告-深度转化] <|ad_begin|> +【2026-01-09】 + 13:54 [广告-深度转化] <|ad_begin|> + 13:56 [广告-深度转化] <|ad_begin|> +【2026-01-10】 + 05:24 [广告-深度转化] <|ad_begin|> +【2026-01-11】 + 01:35 [广告-深度转化] <|ad_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + 04:19 [广告-深度转化] <|ad_begin|> + 04:37 [广告-深度转化] <|ad_begin|> +【2026-01-14】 + --:-- [商品-加购] <|prod_begin|> +【2026-01-16】 + --:-- [商品-购买] <|prod_begin|> + 04:39 [广告-深度转化] <|ad_begin|> +【2026-01-18】 + 04:17 [广告-深度转化] <|ad_begin|> + 07:08 [广告-深度转化] <|ad_begin|> +【2026-01-20】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 05:00 [广告-深度转化] <|ad_begin|> + 09:18 [广告-深度转化] <|ad_begin|> +【2026-01-21】 + 14:36 [广告-深度转化] <|ad_begin|> +【2026-01-22】 + 00:01 [视频-点赞/长播] <|video_begin|> + 08:52 [视频-关注/收藏/长播] <|video_begin|> + 11:32 [视频-收藏/长播] <|video_begin|> +【2026-01-23】 + --:-- [商品-购买] <|prod_begin|> + 11:00 [视频-评论/收藏/长播] <|video_begin|> + 11:56 [视频-收藏/长播] <|video_begin|> + 12:31 [视频-转发/长播] <|video_begin|> + 12:41 [视频-收藏/长播] <|video_begin|> + 13:44 [广告-点击] <|ad_begin|> + 13:50 [广告-点击] <|ad_begin|> + 13:57 [广告-点击] <|ad_begin|> + 14:36 [广告-深度转化] <|ad_begin|> + 14:36 [广告-点击] <|ad_begin|> + 23:40 [视频-收藏/长播] <|video_begin|> 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[广告-深度转化] <|ad_begin|> + 10:56 [广告-点击] <|ad_begin|> + 11:03 [广告-点击] <|ad_begin|> + 12:39 [视频-关注/评论/收藏/点赞/长播] <|video_begin|> + 13:10 [视频-点赞/长播] <|video_begin|> + 22:27 [视频-关注/长播] <|video_begin|> +【2026-01-26】 + 09:28 [广告-点击] <|ad_begin|> + 11:38 [视频-关注/收藏/长播] <|video_begin|> + 12:44 [广告-点击] <|ad_begin|> +【2026-01-27】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 08:56 [视频-收藏/长播] <|video_begin|> + 09:27 [视频-浏览] <|video_begin|> + 10:08 [视频-收藏/长播] <|video_begin|> + 10:08 [视频-关注/评论/收藏/点赞/长播] <|video_begin|> + 10:30 [视频-收藏/长播] <|video_begin|> + 13:05 [广告-深度转化] <|ad_begin|> + 13:05 [广告-点击] <|ad_begin|> + 13:15 [广告-深度转化] <|ad_begin|> + 13:15 [广告-点击] <|ad_begin|> + 13:18 [视频-点赞/长播] <|video_begin|> + 14:00 [广告-深度转化] <|ad_begin|> + 14:00 [广告-点击] <|ad_begin|> +【2026-01-28】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 10:57 [视频-收藏/长播] 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<|ad_begin|> + 23:47 [广告-点击] <|ad_begin|> +【2026-02-03】 + 00:04 [广告-深度转化] <|ad_begin|> + 00:04 [广告-点击] <|ad_begin|> + 00:08 [广告-深度转化] <|ad_begin|> + 00:08 [广告-点击] <|ad_begin|> + 01:18 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 05:29 [广告-深度转化] <|ad_begin|> + 05:29 [广告-点击] <|ad_begin|> + 05:52 [广告-点击] <|ad_begin|> + 05:59 [广告-点击] <|ad_begin|> + 06:01 [广告-点击] <|ad_begin|> + 09:20 [视频-点赞/长播] <|video_begin|> + 09:20 [视频-关注/长播] <|video_begin|> + 09:54 [广告-深度转化] <|ad_begin|> + 09:54 [广告-点击] <|ad_begin|> + 10:13 [广告-深度转化] <|ad_begin|> + 10:13 [广告-点击] <|ad_begin|> +【2026-02-04】 + 03:04 [广告-深度转化] <|ad_begin|> + 03:04 [广告-点击] <|ad_begin|> + 03:05 [广告-点击] <|ad_begin|> + 03:07 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 07:09 [广告-点击] <|ad_begin|> + 07:41 [广告-点击] <|ad_begin|> + 13:28 [广告-点击] <|ad_begin|> + 23:51 [视频-收藏/长播] <|video_begin|> + 23:51 [视频-关注/长播] <|video_begin|> +【2026-02-05】 + 00:17 [广告-点击] <|ad_begin|> + 00:19 [视频-关注/长播] <|video_begin|> + 00:37 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 09:10 [视频-长播] <|video_begin|> + 09:10 [视频-长播] <|video_begin|> + 09:10 [视频-长播] <|video_begin|> + 09:17 [视频-长播] <|video_begin|> + 09:52 [视频-长播] <|video_begin|> + 09:52 [视频-长播] <|video_begin|> + 10:02 [视频-长播] <|video_begin|> + 10:02 [视频-长播] <|video_begin|> + 10:30 [视频-长播] <|video_begin|> + 10:30 [视频-长播] <|video_begin|> + 10:30 [视频-长播] <|video_begin|> + 10:30 [视频-长播] <|video_begin|> + 10:46 [视频-长播] <|video_begin|> + 10:46 [视频-长播] <|video_begin|> + 10:49 [视频-点赞/长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 11:01 [视频-长播] <|video_begin|> + 11:01 [视频-长播] <|video_begin|> + 11:01 [视频-长播] <|video_begin|> + 11:01 [视频-收藏/长播] <|video_begin|> + 11:14 [视频-长播] <|video_begin|> + 11:14 [视频-长播] <|video_begin|> + 11:14 [视频-长播] <|video_begin|> + 11:14 [视频-关注/收藏/点赞/长播] <|video_begin|> + 11:56 [视频-长播] <|video_begin|> + 11:56 [视频-长播] <|video_begin|> + 11:56 [视频-长播] <|video_begin|> + 11:56 [视频-长播] <|video_begin|> + 11:56 [视频-长播] <|video_begin|> + 12:18 [视频-长播] <|video_begin|> + 12:18 [视频-长播] <|video_begin|> + 12:28 [视频-转发/长播] <|video_begin|> + 13:07 [视频-长播] <|video_begin|> + 13:07 [视频-长播] <|video_begin|> + 13:07 [视频-长播] <|video_begin|> + 14:09 [广告-点击] <|ad_begin|> + 14:42 [视频-长播] <|video_begin|> + 14:47 [视频-长播] <|video_begin|> + 14:47 [视频-长播] <|video_begin|> + 14:47 [视频-长播] <|video_begin|> + 14:47 [视频-长播] <|video_begin|> + 14:54 [视频-长播] <|video_begin|> + 14:54 [视频-长播] <|video_begin|> + 14:54 [视频-长播] <|video_begin|> + 14:54 [视频-长播] <|video_begin|> + 15:00 [视频-长播] <|video_begin|> + 15:00 [视频-长播] <|video_begin|> + 15:00 [视频-收藏/长播] <|video_begin|> + 15:15 [视频-长播] <|video_begin|> + 15:15 [视频-长播] <|video_begin|> + 15:15 [视频-长播] <|video_begin|> + 15:15 [视频-长播] <|video_begin|> + 15:37 [视频-长播] <|video_begin|> + 15:42 [视频-长播] <|video_begin|> +【2026-02-06】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + +角色任务：你是一位极端严苛的用户行为数据挖掘专家兼数据格式化专家，请依托以上用户交互历史，针对指定主题，严格提取出所有相关的历史交互条目。 + +主题：从被动种草到主动决策：聚焦特定款式的服饰消费演化 + +输出格式要求：请仅输出包含 SID 的 JSON 数组，严禁输出任何额外的解释、说明或 Markdown 标记。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|living_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-02-23】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-04-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-21】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-05-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-22】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-07】 + --:-- [直播-关注] <|living_begin|> +【2025-07-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-28】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-07-30】 + --:-- [直播-关注] <|living_begin|> +【2025-08-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-05】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-07】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-10】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-08-12】 + --:-- [直播-关注] <|living_begin|> +【2025-08-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-08-15】 + --:-- [直播-打赏] <|living_begin|> +【2025-08-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-20】 + --:-- [直播-关注] <|living_begin|> +【2025-08-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-06】 + --:-- [直播-关注] <|living_begin|> +【2025-09-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-12】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-20】 + --:-- [直播-关注] <|living_begin|> +【2025-09-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-28】 + --:-- [直播-关注] <|living_begin|> +【2025-10-02】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-19】 + --:-- [直播-关注] <|living_begin|> +【2025-10-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-23】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-26】 + --:-- [直播-关注] <|living_begin|> +【2025-10-27】 + --:-- [直播-关注] <|living_begin|> +【2025-10-28】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-29】 + --:-- [直播-关注] <|living_begin|> +【2025-10-30】 + --:-- [直播-关注] <|living_begin|> +【2025-10-31】 + --:-- [直播-关注] <|living_begin|> +【2025-11-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2025-11-05】 + --:-- [直播-关注] <|living_begin|> +【2025-11-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-11-08】 + --:-- [直播-关注] <|living_begin|> +【2025-11-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-29】 + --:-- [直播-关注] <|living_begin|> +【2025-12-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-02】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-03】 + --:-- [直播-关注] <|living_begin|> +【2025-12-05】 + --:-- [直播-关注] <|living_begin|> +【2025-12-07】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 11:39 [广告-深度转化] <|ad_begin|> +【2025-12-11】 + 08:57 [广告-深度转化] <|ad_begin|> +【2025-12-15】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-21】 + --:-- [直播-关注] <|living_begin|> + 03:43 [广告-点击] <|ad_begin|> +【2025-12-23】 + 04:21 [广告-深度转化] <|ad_begin|> + 04:21 [广告-点击] <|ad_begin|> +【2025-12-26】 + 05:14 [广告-深度转化] <|ad_begin|> + 05:14 [广告-点击] <|ad_begin|> +【2025-12-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-28】 + 08:21 [广告-点击] <|ad_begin|> + 08:23 [广告-深度转化] <|ad_begin|> + 08:23 [广告-点击] <|ad_begin|> + 08:23 [广告-深度转化] <|ad_begin|> + 08:23 [广告-点击] <|ad_begin|> + 08:24 [广告-深度转化] <|ad_begin|> + 08:24 [广告-点击] <|ad_begin|> + 08:24 [广告-深度转化] <|ad_begin|> + 08:24 [广告-点击] <|ad_begin|> + 08:37 [广告-深度转化] <|ad_begin|> + 08:37 [广告-点击] <|ad_begin|> + 08:37 [广告-深度转化] <|ad_begin|> + 08:37 [广告-点击] <|ad_begin|> + 08:38 [广告-深度转化] <|ad_begin|> + 08:38 [广告-点击] <|ad_begin|> + 08:38 [广告-深度转化] <|ad_begin|> + 08:38 [广告-点击] <|ad_begin|> + 08:38 [广告-点击] <|ad_begin|> + 09:20 [广告-深度转化] <|ad_begin|> + 09:20 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-30】 + --:-- [直播-关注] <|living_begin|> + 03:53 [广告-深度转化] <|ad_begin|> + 03:53 [广告-点击] <|ad_begin|> + 03:54 [广告-深度转化] <|ad_begin|> + 03:54 [广告-点击] <|ad_begin|> + 03:55 [广告-深度转化] <|ad_begin|> + 03:55 [广告-点击] <|ad_begin|> + 03:56 [广告-深度转化] <|ad_begin|> + 03:56 [广告-点击] <|ad_begin|> + 03:58 [广告-深度转化] <|ad_begin|> + 03:58 [广告-点击] <|ad_begin|> + 10:37 [广告-深度转化] <|ad_begin|> + 10:37 [广告-点击] <|ad_begin|> + 11:12 [广告-深度转化] <|ad_begin|> + 11:12 [广告-点击] <|ad_begin|> +【2025-12-31】 + 03:55 [广告-深度转化] <|ad_begin|> + 03:55 [广告-点击] <|ad_begin|> + 06:19 [广告-深度转化] <|ad_begin|> + 06:19 [广告-点击] <|ad_begin|> + 06:20 [广告-深度转化] <|ad_begin|> + 06:20 [广告-点击] <|ad_begin|> + 08:10 [广告-深度转化] <|ad_begin|> + 08:10 [广告-点击] <|ad_begin|> + 08:10 [广告-深度转化] <|ad_begin|> + 08:10 [广告-点击] <|ad_begin|> +【2026-01-02】 + 12:00 [广告-深度转化] <|ad_begin|> + 12:00 [广告-点击] <|ad_begin|> + 12:00 [广告-深度转化] <|ad_begin|> + 12:00 [广告-点击] <|ad_begin|> + 12:35 [广告-深度转化] <|ad_begin|> + 12:35 [广告-点击] <|ad_begin|> +【2026-01-04】 + 10:22 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:06 [广告-深度转化] <|ad_begin|> + 14:06 [广告-点击] <|ad_begin|> + 14:10 [广告-深度转化] <|ad_begin|> + 14:10 [广告-点击] <|ad_begin|> + 14:11 [广告-深度转化] <|ad_begin|> + 14:11 [广告-点击] <|ad_begin|> + 14:11 [广告-深度转化] <|ad_begin|> + 14:11 [广告-点击] <|ad_begin|> + 14:12 [广告-深度转化] <|ad_begin|> + 14:12 [广告-点击] <|ad_begin|> + 14:12 [广告-点击] <|ad_begin|> + 14:13 [广告-点击] <|ad_begin|> +【2026-01-05】 + 04:28 [广告-点击] <|ad_begin|> + 04:28 [广告-深度转化] <|ad_begin|> + 04:28 [广告-点击] <|ad_begin|> +【2026-01-07】 + --:-- [直播-关注] <|living_begin|> +【2026-01-08】 + 09:23 [广告-深度转化] <|ad_begin|> + 09:23 [广告-点击] <|ad_begin|> + 09:23 [广告-深度转化] <|ad_begin|> + 09:23 [广告-点击] <|ad_begin|> + 09:24 [广告-点击] <|ad_begin|> + 09:24 [广告-深度转化] <|ad_begin|> + 09:24 [广告-点击] <|ad_begin|> + 09:24 [广告-深度转化] <|ad_begin|> + 09:24 [广告-点击] <|ad_begin|> +【2026-01-09】 + 17:21 [广告-深度转化] <|ad_begin|> + 17:21 [广告-点击] <|ad_begin|> +【2026-01-10】 + --:-- [直播-关注] <|living_begin|> +【2026-01-11】 + --:-- [直播-关注] <|living_begin|> + 10:52 [广告-点击] <|ad_begin|> +【2026-01-12】 + 11:55 [广告-点击] <|ad_begin|> +【2026-01-13】 + 13:31 [广告-深度转化] <|ad_begin|> + 13:31 [广告-点击] <|ad_begin|> + 13:31 [广告-点击] <|ad_begin|> + 13:32 [广告-点击] <|ad_begin|> +【2026-01-15】 + 02:18 [广告-点击] <|ad_begin|> +【2026-01-18】 + 06:52 [广告-点击] <|ad_begin|> +【2026-01-19】 + 02:55 [广告-点击] <|ad_begin|> +【2026-01-20】 + 02:34 [广告-点击] <|ad_begin|> + 02:35 [广告-点击] <|ad_begin|> + 02:36 [广告-点击] <|ad_begin|> +【2026-01-22】 + 07:14 [广告-点击] <|ad_begin|> +【2026-01-25】 + 06:52 [广告-深度转化] <|ad_begin|> + 06:52 [广告-点击] <|ad_begin|> +【2026-01-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-28】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-29】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-30】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-31】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-02-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-02-02】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-02-03】 + 10:28 [广告-点击] <|ad_begin|> + 10:28 [广告-点击] <|ad_begin|> + 10:29 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 16:44 [视频-点赞/长播] <|video_begin|> +【2026-02-04】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-02-05】 + 05:57 [视频-长播] <|video_begin|> + 05:57 [视频-长播] <|video_begin|> + 05:57 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:05 [视频-长播] <|video_begin|> + 06:08 [视频-长播] <|video_begin|> + 06:08 [视频-长播] <|video_begin|> + 06:13 [视频-长播] <|video_begin|> + 06:14 [视频-长播] <|video_begin|> + 06:14 [视频-长播] <|video_begin|> + 06:15 [视频-长播] <|video_begin|> + 06:15 [视频-长播] <|video_begin|> + 06:16 [视频-长播] <|video_begin|> + 06:20 [视频-长播] <|video_begin|> + 06:23 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:36 [视频-长播] <|video_begin|> + 06:36 [视频-长播] <|video_begin|> + 06:36 [视频-长播] <|video_begin|> + 06:39 [视频-长播] <|video_begin|> + 06:39 [视频-长播] <|video_begin|> + 06:39 [视频-长播] <|video_begin|> + 06:42 [广告-点击] <|ad_begin|> + 06:43 [广告-点击] <|ad_begin|> + 06:43 [广告-点击] <|ad_begin|> + 06:44 [广告-点击] <|ad_begin|> + 06:44 [广告-点击] <|ad_begin|> + 06:48 [视频-长播] <|video_begin|> + 06:48 [视频-长播] <|video_begin|> + 06:48 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 07:10 [视频-长播] <|video_begin|> + 07:10 [视频-长播] <|video_begin|> + 07:10 [视频-长播] <|video_begin|> + 10:37 [视频-长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 10:55 [视频-长播] <|video_begin|> + 11:07 [视频-长播] <|video_begin|> + 11:07 [视频-长播] <|video_begin|> + 13:05 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + +角色任务：你将作为一个极端严苛的用户行为数据挖掘专家和数据格式化专家，依据以上用户交互历史，围绕目标主题，精确提取出所有相关的历史交互信息。 + +主题：从泛化浏览到聚焦特定品类的消费收敛 + +输出格式要求：请仅以包含 SID 的 JSON 数组形式返回结果，切勿输出任何额外的解释说明或无关字符。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2024-10-06】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-26】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-30】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-10-31】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-11-02】 + --:-- [商品-购买] <|prod_begin|> +【2024-11-29】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-01-03】 + --:-- [直播-关注] <|living_begin|> +【2025-01-11】 + --:-- [直播-关注] <|living_begin|> +【2025-02-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-02-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-02-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-26】 + --:-- [直播-打赏] <|living_begin|> +【2025-03-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-09】 + --:-- [直播-关注] <|living_begin|> +【2025-04-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-21】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-04-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-04-23】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-04-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-05】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-11】 + --:-- [直播-关注] <|living_begin|> +【2025-05-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-17】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-25】 + --:-- [直播-关注] <|living_begin|> +【2025-07-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-09】 + --:-- [直播-关注] <|living_begin|> +【2025-07-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-08-12】 + --:-- [直播-关注] <|living_begin|> +【2025-08-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-31】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-02】 + --:-- [直播-关注] <|living_begin|> +【2025-11-11】 + --:-- [直播-关注] <|living_begin|> +【2025-11-12】 + --:-- [直播-关注] <|living_begin|> +【2025-11-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-29】 + --:-- [直播-关注] <|living_begin|> +【2025-12-05】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-21】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-23】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-24】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 14:07 [广告-深度转化] <|ad_begin|> + 14:43 [广告-深度转化] <|ad_begin|> + 23:14 [广告-深度转化] <|ad_begin|> + 23:40 [广告-深度转化] <|ad_begin|> +【2025-12-25】 + 10:59 [广告-深度转化] <|ad_begin|> +【2025-12-26】 + 03:02 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 11:50 [广告-深度转化] <|ad_begin|> +【2025-12-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-28】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 15:10 [广告-深度转化] <|ad_begin|> + 20:13 [广告-深度转化] <|ad_begin|> +【2025-12-29】 + 00:20 [广告-深度转化] <|ad_begin|> + 01:55 [广告-深度转化] <|ad_begin|> + 04:24 [广告-深度转化] <|ad_begin|> + 06:36 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 15:01 [广告-深度转化] <|ad_begin|> +【2025-12-30】 + 01:18 [广告-深度转化] <|ad_begin|> + 04:08 [广告-深度转化] <|ad_begin|> + 06:20 [广告-深度转化] <|ad_begin|> +【2025-12-31】 + 05:34 [广告-深度转化] <|ad_begin|> + 08:21 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 22:57 [广告-深度转化] <|ad_begin|> +【2026-01-01】 + 02:57 [广告-深度转化] <|ad_begin|> + 04:24 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 13:59 [广告-深度转化] <|ad_begin|> +【2026-01-02】 + 05:45 [广告-深度转化] <|ad_begin|> + 05:45 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-03】 + 04:17 [广告-深度转化] <|ad_begin|> + 08:43 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 09:22 [广告-深度转化] <|ad_begin|> +【2026-01-04】 + 09:16 [广告-深度转化] <|ad_begin|> + 11:35 [广告-深度转化] <|ad_begin|> + 14:29 [广告-深度转化] <|ad_begin|> +【2026-01-05】 + 00:04 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:23 [广告-深度转化] <|ad_begin|> + 23:58 [广告-深度转化] <|ad_begin|> +【2026-01-06】 + 00:50 [广告-深度转化] <|ad_begin|> + 05:22 [广告-深度转化] <|ad_begin|> + 05:59 [广告-深度转化] <|ad_begin|> + 06:19 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 12:24 [广告-深度转化] <|ad_begin|> + 12:24 [广告-点击] <|ad_begin|> + 12:46 [广告-点击] <|ad_begin|> + 13:20 [广告-点击] <|ad_begin|> + 21:15 [广告-深度转化] <|ad_begin|> + 21:15 [广告-点击] <|ad_begin|> +【2026-01-07】 + 07:58 [广告-点击] <|ad_begin|> + 08:11 [广告-深度转化] <|ad_begin|> + 08:11 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 09:59 [广告-深度转化] <|ad_begin|> + 09:59 [广告-点击] <|ad_begin|> + 10:33 [广告-点击] <|ad_begin|> + 11:14 [广告-点击] <|ad_begin|> + 11:23 [广告-点击] <|ad_begin|> + 11:44 [广告-点击] <|ad_begin|> + 13:10 [广告-点击] <|ad_begin|> + 13:59 [广告-点击] <|ad_begin|> + 14:47 [广告-点击] <|ad_begin|> + 23:36 [广告-点击] <|ad_begin|> + 23:48 [广告-深度转化] <|ad_begin|> + 23:48 [广告-点击] <|ad_begin|> +【2026-01-08】 + 08:27 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:10 [广告-点击] <|ad_begin|> + 10:24 [广告-点击] <|ad_begin|> + 10:34 [广告-深度转化] <|ad_begin|> + 10:34 [广告-点击] <|ad_begin|> + 11:52 [广告-点击] <|ad_begin|> +【2026-01-09】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 14:03 [广告-深度转化] <|ad_begin|> + 14:03 [广告-点击] <|ad_begin|> + 19:06 [广告-点击] <|ad_begin|> + 19:17 [广告-点击] <|ad_begin|> +【2026-01-10】 + 06:14 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:43 [广告-深度转化] <|ad_begin|> + 10:43 [广告-点击] <|ad_begin|> +【2026-01-11】 + 00:01 [广告-深度转化] <|ad_begin|> + 00:01 [广告-点击] <|ad_begin|> + 00:10 [广告-点击] <|ad_begin|> + 01:51 [广告-深度转化] <|ad_begin|> + 01:51 [广告-点击] <|ad_begin|> + 04:44 [广告-深度转化] <|ad_begin|> + 04:44 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 09:20 [广告-深度转化] <|ad_begin|> + 09:20 [广告-点击] <|ad_begin|> +【2026-01-12】 + 05:33 [广告-深度转化] <|ad_begin|> + 05:33 [广告-点击] <|ad_begin|> + 07:44 [广告-深度转化] <|ad_begin|> + 07:44 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-13】 + 00:01 [广告-深度转化] <|ad_begin|> + 00:01 [广告-点击] <|ad_begin|> + 00:38 [广告-点击] <|ad_begin|> + 03:12 [广告-深度转化] <|ad_begin|> + 03:12 [广告-点击] <|ad_begin|> + 04:14 [广告-深度转化] <|ad_begin|> + 04:14 [广告-点击] <|ad_begin|> + 05:19 [广告-点击] <|ad_begin|> + 05:31 [广告-深度转化] <|ad_begin|> + 05:31 [广告-点击] <|ad_begin|> +【2026-01-14】 + 01:56 [广告-深度转化] <|ad_begin|> + 01:56 [广告-点击] <|ad_begin|> + 02:58 [广告-深度转化] <|ad_begin|> + 02:58 [广告-点击] <|ad_begin|> + 03:15 [广告-深度转化] <|ad_begin|> + 03:15 [广告-点击] <|ad_begin|> + 04:05 [广告-点击] <|ad_begin|> + 04:36 [广告-深度转化] <|ad_begin|> + 04:36 [广告-点击] <|ad_begin|> + 06:19 [广告-点击] <|ad_begin|> + 07:09 [广告-深度转化] <|ad_begin|> + 07:09 [广告-点击] <|ad_begin|> + 07:14 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-15】 + 01:31 [广告-点击] <|ad_begin|> + 02:42 [广告-点击] <|ad_begin|> + 08:49 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:59 [广告-深度转化] <|ad_begin|> + 10:59 [广告-点击] <|ad_begin|> + 21:03 [广告-点击] <|ad_begin|> + 21:27 [广告-点击] <|ad_begin|> + 21:47 [广告-点击] <|ad_begin|> +【2026-01-16】 + 08:32 [广告-点击] <|ad_begin|> +【2026-01-19】 + 22:25 [广告-点击] <|ad_begin|> +【2026-01-21】 + 01:03 [广告-点击] <|ad_begin|> +【2026-01-23】 + 13:09 [广告-点击] <|ad_begin|> + 20:28 [视频-收藏/长播] <|video_begin|> +【2026-01-24】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-25】 + 14:15 [视频-收藏/长播] <|video_begin|> + 20:48 [视频-转发/收藏/长播] <|video_begin|> + 21:21 [视频-收藏/长播] <|video_begin|> +【2026-01-28】 + 17:25 [视频-点赞/长播] <|video_begin|> +【2026-01-30】 + 12:25 [视频-收藏/点赞/长播] <|video_begin|> + 22:37 [视频-浏览] <|video_begin|> +【2026-01-31】 + 00:42 [广告-深度转化] <|ad_begin|> + 00:42 [广告-点击] <|ad_begin|> + 01:36 [视频-点赞/长播] <|video_begin|> + 02:14 [广告-深度转化] <|ad_begin|> + 02:14 [广告-点击] <|ad_begin|> + 08:59 [视频-长播] <|video_begin|> + 11:05 [广告-点击] <|ad_begin|> + 17:54 [视频-长播] <|video_begin|> + 18:09 [广告-深度转化] <|ad_begin|> + 18:09 [广告-点击] <|ad_begin|> + 18:53 [视频-长播] <|video_begin|> +【2026-02-01】 + 00:03 [视频-评论/长播] <|video_begin|> + 03:53 [广告-深度转化] <|ad_begin|> + 03:53 [广告-点击] <|ad_begin|> + 12:16 [广告-点击] <|ad_begin|> + 18:06 [视频-长播] <|video_begin|> + 18:07 [视频-长播] <|video_begin|> + 22:42 [视频-长播] <|video_begin|> + 22:42 [视频-长播] <|video_begin|> + 22:51 [视频-长播] <|video_begin|> + 22:51 [视频-长播] <|video_begin|> +【2026-02-02】 + 01:31 [广告-点击] <|ad_begin|> + 04:38 [视频-长播] <|video_begin|> + 04:38 [视频-长播] <|video_begin|> + 05:46 [广告-深度转化] <|ad_begin|> + 05:46 [广告-点击] <|ad_begin|> + 06:10 [视频-长播] <|video_begin|> + 06:13 [广告-点击] <|ad_begin|> + 13:51 [广告-深度转化] <|ad_begin|> + 13:51 [广告-点击] <|ad_begin|> + 13:52 [视频-长播] <|video_begin|> + 13:52 [视频-长播] <|video_begin|> + 13:52 [视频-长播] <|video_begin|> + 14:00 [视频-长播] <|video_begin|> + 14:00 [视频-收藏/长播] <|video_begin|> + 23:00 [视频-长播] <|video_begin|> + 23:00 [视频-长播] <|video_begin|> + 23:06 [视频-长播] <|video_begin|> + 23:08 [视频-长播] <|video_begin|> +【2026-02-03】 + 04:13 [视频-长播] <|video_begin|> + 07:45 [视频-长播] <|video_begin|> + 07:45 [视频-长播] <|video_begin|> + 07:45 [视频-长播] <|video_begin|> + 07:59 [视频-长播] <|video_begin|> + 08:11 [广告-深度转化] <|ad_begin|> + 08:11 [广告-点击] <|ad_begin|> + 08:47 [视频-长播] <|video_begin|> + 08:47 [视频-长播] <|video_begin|> + 08:47 [视频-长播] <|video_begin|> + 08:47 [视频-长播] <|video_begin|> + 08:51 [视频-关注/长播] <|video_begin|> +【2026-02-04】 + 04:56 [视频-长播] <|video_begin|> + 07:09 [视频-长播] <|video_begin|> + 07:09 [视频-长播] <|video_begin|> + 07:43 [视频-长播] <|video_begin|> + 07:43 [视频-点赞/长播] <|video_begin|> + 12:41 [视频-长播] <|video_begin|> + 17:37 [视频-长播] <|video_begin|> + 17:42 [视频-长播] <|video_begin|> + 17:44 [视频-长播] <|video_begin|> + 17:50 [视频-长播] <|video_begin|> + 17:52 [视频-长播] <|video_begin|> + 18:27 [视频-长播] <|video_begin|> + 18:33 [视频-长播] <|video_begin|> + 18:38 [视频-长播] <|video_begin|> + 18:43 [视频-长播] <|video_begin|> + 18:43 [视频-长播] <|video_begin|> + 18:45 [视频-长播] <|video_begin|> + 18:47 [视频-长播] <|video_begin|> + 18:53 [广告-深度转化] <|ad_begin|> + 18:53 [广告-点击] <|ad_begin|> +【2026-02-05】 + 03:46 [视频-长播] <|video_begin|> + 03:46 [视频-长播] <|video_begin|> + 03:46 [视频-长播] <|video_begin|> + 04:17 [视频-长播] <|video_begin|> + +角色任务：你是一位极端严苛的用户行为数据挖掘专家兼数据格式化专家，请依托以上用户交互历史，针对指定主题，严格提取出所有相关的历史交互条目。 + +主题：从家居装修到软装升级的决策演化 + +输出格式要求：请严格只输出包含 SID 字段的 JSON 数组格式，禁止输出任何其他补充说明或解释性文本。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-02-06】 + --:-- [直播-关注] <|living_begin|> +【2025-02-26】 + --:-- [直播-关注] <|living_begin|> +【2025-03-23】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-05-16】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-06-24】 + --:-- [直播-打赏] <|living_begin|> +【2025-07-09】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-07-11】 + --:-- [直播-关注] <|living_begin|> +【2025-07-24】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-07】 + --:-- [直播-关注/打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-14】 + --:-- [直播-打赏] <|living_begin|> +【2025-08-18】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-08-25】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-08-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-05】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-09】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-14】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-17】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-24】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-25】 + --:-- [直播-关注] <|living_begin|> +【2025-10-23】 + --:-- [直播-打赏] <|living_begin|> +【2025-10-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-30】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-31】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-02】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-11-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-06】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-11-07】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-13】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-15】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-28】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-29】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-03】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-07】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-09】 + 04:17 [广告-点击] <|ad_begin|> +【2025-12-10】 + 00:31 [广告-点击] <|ad_begin|> + 04:13 [广告-深度转化] <|ad_begin|> + 04:13 [广告-点击] <|ad_begin|> + 15:15 [广告-深度转化] <|ad_begin|> + 15:15 [广告-点击] <|ad_begin|> + 23:55 [广告-深度转化] <|ad_begin|> + 23:55 [广告-点击] <|ad_begin|> +【2025-12-11】 + 09:00 [广告-点击] <|ad_begin|> +【2025-12-12】 + --:-- [直播-打赏] <|living_begin|> + 01:26 [广告-深度转化] <|ad_begin|> + 01:26 [广告-点击] <|ad_begin|> + 01:30 [广告-深度转化] <|ad_begin|> + 01:30 [广告-点击] <|ad_begin|> + 06:07 [广告-深度转化] <|ad_begin|> + 06:07 [广告-点击] <|ad_begin|> +【2025-12-13】 + 22:06 [广告-深度转化] <|ad_begin|> + 22:06 [广告-点击] <|ad_begin|> +【2025-12-15】 + --:-- [直播-首次打赏] <|living_begin|> + 03:40 [广告-点击] <|ad_begin|> +【2025-12-18】 + 15:06 [广告-深度转化] <|ad_begin|> + 15:06 [广告-点击] <|ad_begin|> +【2025-12-19】 + 10:50 [广告-深度转化] <|ad_begin|> + 10:50 [广告-点击] <|ad_begin|> +【2025-12-20】 + 04:23 [广告-点击] <|ad_begin|> + 06:35 [广告-点击] <|ad_begin|> + 08:44 [广告-深度转化] <|ad_begin|> + 08:44 [广告-点击] <|ad_begin|> +【2025-12-21】 + 07:05 [广告-点击] <|ad_begin|> +【2025-12-22】 + --:-- [商品-点击] <|prod_begin|> + 16:35 [广告-深度转化] <|ad_begin|> + 16:35 [广告-点击] <|ad_begin|> + 20:15 [广告-深度转化] <|ad_begin|> + 20:15 [广告-点击] <|ad_begin|> +【2025-12-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-24】 + 08:08 [广告-深度转化] <|ad_begin|> + 08:08 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-25】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-26】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 14:55 [广告-深度转化] <|ad_begin|> + 14:55 [广告-点击] <|ad_begin|> +【2025-12-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 09:07 [广告-深度转化] <|ad_begin|> + 09:07 [广告-点击] <|ad_begin|> +【2025-12-28】 + 03:33 [广告-深度转化] <|ad_begin|> + 03:33 [广告-点击] <|ad_begin|> +【2025-12-29】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-30】 + 12:47 [广告-点击] <|ad_begin|> +【2025-12-31】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-01】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-02】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-03】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-05】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-06】 + 15:04 [广告-深度转化] <|ad_begin|> + 15:04 [广告-点击] <|ad_begin|> +【2026-01-08】 + --:-- [直播-关注] <|living_begin|> + 07:47 [广告-深度转化] <|ad_begin|> + 07:47 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-09】 + 12:13 [广告-点击] <|ad_begin|> + 14:34 [广告-深度转化] <|ad_begin|> + 14:34 [广告-点击] <|ad_begin|> +【2026-01-10】 + 03:49 [广告-深度转化] <|ad_begin|> + 03:49 [广告-点击] <|ad_begin|> +【2026-01-11】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-12】 + --:-- [商品-点击] <|prod_begin|> + 10:28 [广告-点击] <|ad_begin|> + 23:49 [广告-深度转化] <|ad_begin|> + 23:49 [广告-点击] <|ad_begin|> +【2026-01-13】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-14】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-15】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-16】 + --:-- [直播-打赏] <|living_begin|> +【2026-01-19】 + 05:02 [广告-点击] <|ad_begin|> + 05:13 [广告-点击] <|ad_begin|> +【2026-01-21】 + 08:10 [广告-深度转化] <|ad_begin|> + 08:10 [广告-点击] <|ad_begin|> + 16:15 [广告-点击] <|ad_begin|> +【2026-01-22】 + 05:30 [广告-深度转化] <|ad_begin|> + 05:30 [广告-点击] <|ad_begin|> + 06:16 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-23】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-24】 + 23:35 [视频-长播] <|video_begin|> + 23:38 [广告-点击] <|ad_begin|> + 23:57 [广告-深度转化] <|ad_begin|> + 23:57 [广告-点击] <|ad_begin|> +【2026-01-25】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-26】 + --:-- [直播-首次打赏] <|living_begin|> + 00:39 [视频-长播] <|video_begin|> + 00:59 [视频-长播] <|video_begin|> + 00:59 [视频-长播] <|video_begin|> + 00:59 [视频-长播] <|video_begin|> + 22:47 [广告-深度转化] <|ad_begin|> + 22:47 [广告-点击] <|ad_begin|> +【2026-01-27】 + 08:12 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 08:34 [广告-深度转化] <|ad_begin|> + 08:34 [广告-点击] <|ad_begin|> + 10:18 [视频-长播] <|video_begin|> + 10:27 [视频-长播] <|video_begin|> + 10:47 [广告-深度转化] <|ad_begin|> + 10:47 [广告-点击] <|ad_begin|> + 16:09 [广告-点击] <|ad_begin|> +【2026-01-28】 + 02:15 [广告-深度转化] <|ad_begin|> + 02:15 [广告-点击] <|ad_begin|> + 03:08 [广告-点击] <|ad_begin|> + 20:11 [广告-深度转化] <|ad_begin|> + 20:11 [广告-点击] <|ad_begin|> + 20:13 [视频-长播] <|video_begin|> + 20:16 [视频-长播] <|video_begin|> + 23:44 [视频-长播] <|video_begin|> + 23:44 [视频-长播] <|video_begin|> +【2026-01-29】 + 01:04 [视频-长播] <|video_begin|> + 06:06 [视频-长播] <|video_begin|> + 07:45 [视频-长播] <|video_begin|> + 08:03 [广告-深度转化] <|ad_begin|> + 08:03 [广告-点击] <|ad_begin|> + 20:05 [视频-长播] <|video_begin|> + 20:17 [广告-深度转化] <|ad_begin|> + 20:17 [广告-点击] <|ad_begin|> +【2026-01-30】 + 07:53 [视频-长播] <|video_begin|> + 07:53 [视频-长播] <|video_begin|> + 07:53 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:37 [视频-长播] <|video_begin|> + 10:43 [广告-深度转化] <|ad_begin|> + 10:43 [广告-点击] <|ad_begin|> + 23:13 [视频-长播] <|video_begin|> + 23:13 [视频-长播] <|video_begin|> + 23:13 [视频-长播] <|video_begin|> + 23:26 [视频-长播] <|video_begin|> +【2026-01-31】 + 00:12 [视频-长播] <|video_begin|> + 00:12 [视频-长播] <|video_begin|> + 00:12 [视频-长播] <|video_begin|> + 00:12 [视频-长播] <|video_begin|> + 00:37 [广告-深度转化] <|ad_begin|> + 00:37 [广告-点击] <|ad_begin|> + 02:06 [广告-点击] <|ad_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 07:15 [广告-深度转化] <|ad_begin|> + 07:15 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 09:20 [视频-长播] <|video_begin|> + 09:20 [视频-长播] <|video_begin|> + 22:38 [视频-长播] <|video_begin|> +【2026-02-01】 + 02:20 [视频-长播] <|video_begin|> + 04:21 [广告-点击] <|ad_begin|> + 04:48 [视频-长播] <|video_begin|> + 05:02 [广告-深度转化] <|ad_begin|> + 05:02 [广告-点击] <|ad_begin|> + 10:46 [广告-深度转化] <|ad_begin|> + 10:46 [广告-点击] <|ad_begin|> + 11:21 [广告-点击] <|ad_begin|> + 14:40 [广告-点击] <|ad_begin|> +【2026-02-02】 + --:-- [商品-点击] <|prod_begin|> + 10:41 [广告-深度转化] <|ad_begin|> + 10:41 [广告-点击] <|ad_begin|> +【2026-02-03】 + --:-- [商品-点击] <|prod_begin|> +【2026-02-04】 + 01:34 [视频-长播] <|video_begin|> + 01:34 [视频-长播] <|video_begin|> + 04:17 [广告-点击] <|ad_begin|> + 15:02 [广告-点击] <|ad_begin|> +【2026-02-05】 + 08:22 [视频-长播] <|video_begin|> + 08:22 [视频-长播] <|video_begin|> + 08:22 [视频-长播] <|video_begin|> + 08:22 [视频-长播] <|video_begin|> + 08:35 [视频-长播] <|video_begin|> + 08:38 [视频-长播] <|video_begin|> + 08:38 [视频-长播] <|video_begin|> + 08:38 [视频-长播] <|video_begin|> + 08:38 [视频-长播] <|video_begin|> + 08:47 [视频-长播] <|video_begin|> + 10:17 [视频-长播] <|video_begin|> + 15:09 [广告-点击] <|ad_begin|> +角色任务：你作为极端严苛的用户行为数据挖掘专家和数据格式化专家，需要根据以上用户交互历史，围绕给定主题抽取存在行为递进逻辑与内在关联的交互行为逻辑链。 +交互行为类型（固定格式严禁更改）： 搜索-搜索、视频-浏览、视频-长播、直播-关注、直播-首次打赏、商品-点击、商品-购买、广告-点击、广告-深度转化 +核心提取逻辑 (递进性准则)： +请依时间顺序提取 5 步以内的行为链，并确保后项交互B是前项交互A的场景需求协同补充、副作用诱因或兴趣细化升级，也就是 B 必须由 A 的延伸需求所驱动；严禁提取任何品类平级、内容重复或仅因天气/促销形成的并列凑单行为。 +1.场景驱动协同：交互 B 和交互 A 必须落在同一生活场景、同一主题类目中，且存在很强的需求补完关系。 +2.兴趣因果递进：交互 B 必须由交互 A 引发的副作用或新需求而产生，或者 A 本身就是 B 的诱因。 +3.需求深度细化：在同一主题类目下,交互 B 的需求比 交互 A 更具体详细, 但不包括多次重复的购买、点击、搜索等行为，避免重复节点内容。 +请根据以下主题提取行为逻辑链： +主题：从车辆养护到专业工具采购的决策闭环 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从车辆养护到专业工具采购的决策闭环", + "events": [ + { + "date": "YYYY-MM-DD", + "action": "[交互行为类型] 交互内容"（严格对应Timeline中交互条目，不允许省略）, + "logic": "逻辑说明" + } + ] + } +} + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +{"logic_chain":{"name":"从车辆养护到专业工具采购的决策闭环","events":[{"date":"2025-08-29","action":"[商品-购买] <|prod_begin|>","logic":"问题触发：用户开始关注并试图解决柴油发动机的“烧机油、冒蓝烟、降噪音”等具体问题，表明其正在进行车辆维护。"},{"date":"2025-09-13","action":"[商品-购买] <|prod_begin|>","logic":"行为升级与工具聚焦：在进行了发动机维护后，用户购买了“5吨”承重级别的专业“吊装带”。这标志着用户的行为从简单的添加剂式保养，升级到了可能涉及发动机或重型部件吊装的深度维修或作业层面，体现了从“养”到“修”的认知和能力跃迁。"},{"date":"2025-09-24","action":"[商品-购买] <|prod_begin|>","logic":"系统性维护深化：在购买了核心维修工具后，用户进一步采购了“油水分离器”，这是对柴油发动机燃油系统的关键维护。此行为与前期的发动机抗磨保养和重型吊装工具形成了完整的“诊断-维修-系统优化”闭环，进一步证实了用户正在进行系统性的车辆深度维护。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2024-02-18】 + --:-- [商品-购买] <|prod_begin|> +【2024-03-11】 + --:-- [商品-购买] <|prod_begin|> +【2024-04-16】 + --:-- [商品-购买] <|prod_begin|> +【2024-07-16】 + --:-- [商品-购买] <|prod_begin|> +【2024-08-12】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-15】 + --:-- [商品-购买] <|prod_begin|> +【2024-11-07】 + --:-- [商品-购买] <|prod_begin|> +【2024-12-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-01】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-17】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-21】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-22】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-23】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-24】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-25】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-02】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-04】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-06】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-07】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-08】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-11】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-12】 + 05:48 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 23:58 [广告-深度转化] <|ad_begin|> +【2025-12-13】 + 06:33 [广告-点击] <|ad_begin|> + 11:15 [广告-深度转化] <|ad_begin|> + 11:15 [广告-点击] <|ad_begin|> +【2025-12-14】 + 07:06 [广告-深度转化] <|ad_begin|> + 07:06 [广告-点击] <|ad_begin|> + 12:05 [广告-深度转化] <|ad_begin|> + 12:05 [广告-点击] <|ad_begin|> + 12:13 [广告-深度转化] <|ad_begin|> + 12:13 [广告-点击] <|ad_begin|> + 12:33 [广告-深度转化] <|ad_begin|> + 12:33 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-15】 + 05:59 [广告-深度转化] <|ad_begin|> + 05:59 [广告-点击] <|ad_begin|> + 10:09 [广告-深度转化] <|ad_begin|> + 10:09 [广告-点击] <|ad_begin|> +【2025-12-16】 + 00:03 [广告-点击] <|ad_begin|> + 11:42 [广告-点击] <|ad_begin|> + 14:16 [广告-深度转化] <|ad_begin|> + 14:16 [广告-点击] <|ad_begin|> + 23:26 [广告-深度转化] <|ad_begin|> + 23:26 [广告-点击] <|ad_begin|> + 23:29 [广告-点击] <|ad_begin|> + 23:34 [广告-点击] <|ad_begin|> + 23:37 [广告-点击] <|ad_begin|> + 23:40 [广告-深度转化] <|ad_begin|> + 23:40 [广告-点击] <|ad_begin|> +【2025-12-17】 + 07:47 [广告-点击] <|ad_begin|> + 07:53 [广告-深度转化] <|ad_begin|> + 07:53 [广告-点击] <|ad_begin|> +【2025-12-18】 + 10:39 [广告-点击] <|ad_begin|> + 10:45 [广告-点击] <|ad_begin|> + 10:46 [广告-深度转化] <|ad_begin|> + 10:46 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 21:01 [广告-点击] <|ad_begin|> + 21:03 [广告-点击] <|ad_begin|> + 21:05 [广告-深度转化] <|ad_begin|> + 21:05 [广告-点击] <|ad_begin|> + 21:12 [广告-点击] <|ad_begin|> + 21:25 [广告-深度转化] <|ad_begin|> + 21:25 [广告-点击] <|ad_begin|> + 21:47 [广告-深度转化] <|ad_begin|> + 21:47 [广告-点击] <|ad_begin|> + 21:48 [广告-深度转化] <|ad_begin|> + 21:48 [广告-点击] <|ad_begin|> + 21:49 [广告-深度转化] <|ad_begin|> + 21:49 [广告-点击] <|ad_begin|> + 21:51 [广告-点击] <|ad_begin|> + 21:54 [广告-点击] <|ad_begin|> + 21:55 [广告-点击] <|ad_begin|> + 21:56 [广告-点击] <|ad_begin|> + 21:58 [广告-点击] <|ad_begin|> + 23:32 [广告-深度转化] <|ad_begin|> + 23:32 [广告-点击] <|ad_begin|> + 23:49 [广告-深度转化] <|ad_begin|> + 23:49 [广告-点击] <|ad_begin|> +【2025-12-19】 + 00:23 [广告-深度转化] <|ad_begin|> + 00:23 [广告-点击] <|ad_begin|> + 07:05 [广告-深度转化] <|ad_begin|> + 07:05 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 21:15 [广告-点击] <|ad_begin|> +【2025-12-20】 + 00:08 [广告-点击] <|ad_begin|> +【2025-12-21】 + 12:39 [广告-点击] <|ad_begin|> + 18:58 [广告-点击] <|ad_begin|> + 18:59 [广告-点击] <|ad_begin|> + 23:31 [广告-点击] <|ad_begin|> +【2025-12-27】 + 23:07 [广告-点击] <|ad_begin|> +【2025-12-28】 + 00:09 [广告-点击] <|ad_begin|> + 22:43 [广告-深度转化] <|ad_begin|> + 22:43 [广告-点击] <|ad_begin|> +【2025-12-29】 + 22:47 [广告-点击] <|ad_begin|> +【2025-12-31】 + 20:27 [广告-点击] <|ad_begin|> + 20:28 [广告-深度转化] <|ad_begin|> + 20:28 [广告-点击] <|ad_begin|> +【2026-01-04】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-05】 + 18:03 [广告-深度转化] <|ad_begin|> + 18:03 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-07】 + 06:45 [广告-点击] <|ad_begin|> + 08:09 [广告-点击] <|ad_begin|> + 18:03 [广告-点击] <|ad_begin|> + 19:06 [广告-点击] <|ad_begin|> + 22:50 [广告-点击] <|ad_begin|> +【2026-01-08】 + 13:19 [广告-点击] <|ad_begin|> +【2026-01-09】 + 22:38 [广告-点击] <|ad_begin|> +【2026-01-10】 + 01:13 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-12】 + 01:30 [广告-深度转化] <|ad_begin|> + 01:30 [广告-点击] <|ad_begin|> + 01:47 [广告-深度转化] <|ad_begin|> + 01:47 [广告-点击] <|ad_begin|> + 01:55 [广告-点击] <|ad_begin|> + 01:58 [广告-点击] <|ad_begin|> + 05:57 [广告-深度转化] <|ad_begin|> + 05:57 [广告-点击] <|ad_begin|> + 05:58 [广告-点击] <|ad_begin|> +【2026-01-15】 + 03:59 [广告-深度转化] <|ad_begin|> + 03:59 [广告-点击] <|ad_begin|> + 04:08 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-16】 + 15:34 [广告-点击] <|ad_begin|> + 17:45 [广告-点击] <|ad_begin|> +【2026-01-18】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-19】 + 04:27 [广告-点击] <|ad_begin|> +【2026-01-22】 + 06:56 [视频-点赞/长播] <|video_begin|> + 06:59 [视频-点赞/长播] <|video_begin|> +【2026-01-24】 + 04:36 [视频-点赞/长播] <|video_begin|> + 04:40 [视频-点赞/长播] <|video_begin|> + 04:40 [视频-点赞/长播] <|video_begin|> + 04:40 [视频-点赞/长播] <|video_begin|> + 04:42 [视频-点赞/长播] <|video_begin|> + 04:44 [视频-点赞/长播] <|video_begin|> + 04:44 [视频-收藏/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-25】 + 14:31 [视频-点赞/长播] <|video_begin|> +【2026-01-26】 + 09:47 [视频-点赞/长播] <|video_begin|> + 09:47 [视频-点赞/长播] <|video_begin|> + 11:17 [视频-点赞/长播] <|video_begin|> + 11:17 [视频-评论/长播] <|video_begin|> +【2026-01-28】 + 02:55 [视频-点赞/长播] <|video_begin|> + 02:57 [视频-点赞/长播] <|video_begin|> + 05:28 [视频-点赞/长播] <|video_begin|> + 05:35 [视频-点赞/长播] <|video_begin|> + 22:32 [视频-长播] <|video_begin|> + 22:48 [视频-长播] <|video_begin|> + 23:49 [视频-长播] <|video_begin|> + 23:53 [视频-长播] <|video_begin|> +【2026-01-29】 + 08:34 [视频-长播] <|video_begin|> + 08:34 [视频-长播] <|video_begin|> + 09:57 [视频-点赞/长播] <|video_begin|> + 20:57 [视频-长播] <|video_begin|> + 20:57 [视频-长播] <|video_begin|> + 20:57 [视频-长播] <|video_begin|> + 20:59 [视频-长播] <|video_begin|> + 20:59 [视频-长播] <|video_begin|> + 21:01 [视频-长播] <|video_begin|> + 21:02 [视频-长播] <|video_begin|> + 21:02 [视频-长播] <|video_begin|> + 21:02 [视频-点赞/长播] <|video_begin|> + 21:04 [视频-长播] <|video_begin|> +【2026-01-30】 + 05:41 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 20:34 [视频-长播] <|video_begin|> + 20:35 [视频-长播] <|video_begin|> + 20:35 [视频-长播] <|video_begin|> + 20:35 [视频-长播] <|video_begin|> + 20:36 [视频-长播] <|video_begin|> + 20:38 [视频-长播] <|video_begin|> + 20:38 [视频-长播] <|video_begin|> +【2026-01-31】 + 23:20 [视频-点赞/长播] <|video_begin|> +【2026-02-01】 + 13:15 [视频-长播] <|video_begin|> + 13:15 [视频-长播] <|video_begin|> +【2026-02-03】 + 20:16 [视频-长播] <|video_begin|> + 20:16 [视频-长播] <|video_begin|> + 20:16 [视频-长播] <|video_begin|> + 20:18 [视频-点赞/长播] <|video_begin|> + 20:19 [视频-长播] <|video_begin|> + 20:22 [视频-长播] <|video_begin|> + 20:22 [视频-点赞/长播] <|video_begin|> + 20:23 [视频-长播] <|video_begin|> + 20:25 [视频-长播] <|video_begin|> + 20:25 [视频-长播] <|video_begin|> + 20:31 [视频-长播] <|video_begin|> + 20:31 [视频-长播] <|video_begin|> + 20:33 [视频-长播] <|video_begin|> + 20:33 [视频-长播] <|video_begin|> + 20:34 [视频-长播] <|video_begin|> + 20:34 [视频-长播] <|video_begin|> + 20:34 [视频-长播] <|video_begin|> +【2026-02-04】 + 02:20 [视频-长播] <|video_begin|> + 02:20 [视频-长播] <|video_begin|> + 02:20 [视频-点赞/长播] <|video_begin|> + 02:24 [视频-长播] <|video_begin|> + 02:24 [视频-点赞/长播] <|video_begin|> + 02:26 [视频-长播] <|video_begin|> + 02:26 [视频-点赞/长播] <|video_begin|> + 03:07 [视频-长播] <|video_begin|> + 03:07 [视频-点赞/长播] <|video_begin|> + 21:29 [视频-长播] <|video_begin|> + 21:29 [视频-长播] <|video_begin|> +【2026-02-05】 + 04:41 [视频-长播] <|video_begin|> + 05:41 [视频-点赞/长播] <|video_begin|> + 08:53 [视频-长播] <|video_begin|> + 08:54 [视频-点赞/长播] <|video_begin|> + 10:14 [视频-长播] <|video_begin|> + +角色任务：你是极端严苛的用户行为数据挖掘与数据格式化专家，请结合上述用户交互历史，面向给定主题，全面提取出所有具备关联性的历史交互数据。 + +主题：从泛化健康焦虑到具体产品方案的探索与决策 + +输出格式要求：请严格只输出包含 SID 字段的 JSON 数组格式，禁止输出任何其他补充说明或解释性文本。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +<|im_start|>user +如果金最初有4打衬衫，她给了她妹妹其中的1/3，金还剩下多少件衬衫？/think<|im_end|> +<|im_start|>assistant + +首先，问题是：如果金最初有4打衬衫，她给了她妹妹其中的1/3，金还剩下多少件衬衫？ + +关键点：金最初有4打衬衫。一打是12件，所以4打就是4 × 12 = 48件衬衫。 + +她给了她妹妹其中的1/3。这里的“其中”指的是最初衬衫数量的1/3。所以，她给了48件的1/3。 + +计算1/3 of 48：48 ÷ 3 = 16。所以她给了16件衬衫。 + +那么，金还剩下的衬衫数量是：最初的48件减去给的16件：48 - 16 = 32件。 + +所以，金还剩下32件衬衫。 + +但让我确认一下：问题说“给了她妹妹其中的1/3”，意思是给了她妹妹最初衬衫的1/3。所以，是的，如上计算。 + +答案应该是32件衬衫。 + +金最初有4打衬衫，1打等于12件，所以4打是 \(4 \times 12 = 48\) 件衬衫。 +她给了妹妹其中的 \(\frac{1}{3}\)，即 \(48 \times \frac{1}{3} = 16\) 件衬衫。 +因此，金还剩下 \(48 - 16 = 32\) 件衬衫。<|im_end|> +<|endoftext|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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34230, 97706, 111392, 17767, 19, 23, 481, 220, 16, 21, 284, 220, 18, 17, 57758, 220, 14224, 113727, 1773, 151645, 198, -100][INFO|configuration_utils.py:769] 2026-07-16 01:36:05,561 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:36:05,562 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 176253 +} + + +labels: +["<|living_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +{"logic_chain":{"name":"从车辆养护到专业工具采购的决策闭环","events":[{"date":"2025-08-29","action":"[商品-购买] <|prod_begin|>","logic":"问题触发：用户开始关注并试图解决柴油发动机的“烧机油、冒蓝烟、降噪音”等具体问题，表明其正在进行车辆维护。"},{"date":"2025-09-13","action":"[商品-购买] <|prod_begin|>","logic":"行为升级与工具聚焦：在进行了发动机维护后，用户购买了“5吨”承重级别的专业“吊装带”。这标志着用户的行为从简单的添加剂式保养，升级到了可能涉及发动机或重型部件吊装的深度维修或作业层面，体现了从“养”到“修”的认知和能力跃迁。"},{"date":"2025-09-24","action":"[商品-购买] <|prod_begin|>","logic":"系统性维护深化：在购买了核心维修工具后，用户进一步采购了“油水分离器”，这是对柴油发动机燃油系统的关键维护。此行为与前期的发动机抗磨保养和重型吊装工具形成了完整的“诊断-维修-系统优化”闭环，进一步证实了用户正在进行系统性的车辆深度维护。"}]}}<|im_end|> +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> + +首先，问题是：如果金最初有4打衬衫，她给了她妹妹其中的1/3，金还剩下多少件衬衫？ + +关键点：金最初有4打衬衫。一打是12件，所以4打就是4 × 12 = 48件衬衫。 + +她给了她妹妹其中的1/3。这里的“其中”指的是最初衬衫数量的1/3。所以，她给了48件的1/3。 + +计算1/3 of 48：48 ÷ 3 = 16。所以她给了16件衬衫。 + +那么，金还剩下的衬衫数量是：最初的48件减去给的16件：48 - 16 = 32件。 + +所以，金还剩下32件衬衫。 + +但让我确认一下：问题说“给了她妹妹其中的1/3”，意思是给了她妹妹最初衬衫的1/3。所以，是的，如上计算。 + +答案应该是32件衬衫。 + +金最初有4打衬衫，1打等于12件，所以4打是 \(4 \times 12 = 48\) 件衬衫。 +她给了妹妹其中的 \(\frac{1}{3}\)，即 \(48 \times \frac{1}{3} = 16\) 件衬衫。 +因此，金还剩下 \(48 - 16 = 32\) 件衬衫。<|im_end|> + +[INFO|2026-07-16 01:36:05] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. +[INFO|2026-07-16 01:36:05] llamafactory.model.model_utils.liger_kernel:144 >> Liger kernel has been applied to the model. +[INFO|modeling_utils.py:748] 2026-07-16 01:36:05,991 >> loading weights file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/model.safetensors +[INFO|modeling_utils.py:821] 2026-07-16 01:36:05,991 >> Will use dtype=torch.bfloat16 as defined in model's config object +[INFO|configuration_utils.py:1027] 2026-07-16 01:36:06,041 >> Generate config GenerationConfig { + "eos_token_id": 151645, + "output_attentions": false, + "output_hidden_states": false, + "pad_token_id": 151643, + "use_cache": false +} + + Loading weights: 0%| | 0/311 [00:00> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/generation_config.json +[INFO|configuration_utils.py:1027] 2026-07-16 01:36:06,329 >> Generate config GenerationConfig { + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "temperature": 0.6, + "top_k": 20, + "top_p": 0.95 +} + +[INFO|dynamic_module_utils.py:406] 2026-07-16 01:36:06,329 >> Could not locate the custom_generate/generate.py inside /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018. +[INFO|2026-07-16 01:36:06] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. +[INFO|2026-07-16 01:36:06] llamafactory.model.model_utils.attention:144 >> Using FlashAttention-2 for faster training and inference. +[INFO|2026-07-16 01:36:06] llamafactory.model.adapter:144 >> Pure bf16 / BAdam detected, remaining trainable params in half precision. +[INFO|2026-07-16 01:36:06] llamafactory.model.adapter:144 >> Fine-tuning method: Full +[INFO|2026-07-16 01:36:06] llamafactory.model.loader:144 >> trainable params: 801,433,600 || all params: 801,433,600 || trainable%: 100.0000 +[INFO|trainer.py:1469] 2026-07-16 01:36:06,458 >> ***** Running training ***** +[INFO|trainer.py:1470] 2026-07-16 01:36:06,458 >> Num examples = 287 +[INFO|trainer.py:1471] 2026-07-16 01:36:06,458 >> Num Epochs = 1 +[INFO|trainer.py:1472] 2026-07-16 01:36:06,458 >> Num update steps per epoch = 72 +[INFO|trainer.py:1473] 2026-07-16 01:36:06,458 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:1476] 2026-07-16 01:36:06,458 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1477] 2026-07-16 01:36:06,458 >> Gradient Accumulation steps = 4 +[INFO|trainer.py:1478] 2026-07-16 01:36:06,458 >> Total optimization steps = 26 +[INFO|trainer.py:1479] 2026-07-16 01:36:06,458 >> Number of trainable parameters = 801,433,600 + 0%| | 0/26 [00:00> `use_return_dict` is deprecated! 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Do not forget to share your model on huggingface.co/models =) + + + 100%|██████████| 26/26 [03:28<00:00, 7.88s/it] 100%|██████████| 26/26 [03:28<00:00, 8.01s/it] +[INFO|trainer.py:3815] 2026-07-16 01:39:34,661 >> Saving model checkpoint to /home/ll/llm4rec/experiments/outputs/v47_v29_clean_world_guard_lr35e7_ep035 +[INFO|configuration_utils.py:533] 2026-07-16 01:39:34,662 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v47_v29_clean_world_guard_lr35e7_ep035/config.json +[INFO|configuration_utils.py:816] 2026-07-16 01:39:34,662 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v47_v29_clean_world_guard_lr35e7_ep035/generation_config.json +{'loss': '1.945', 'grad_norm': '6.75', 'learning_rate': '2.688e-07', 'epoch': '0.1394'} +{'loss': '1.843', 'grad_norm': '6.156', 'learning_rate': '6.345e-08', 'epoch': '0.2787'} +{'train_runtime': '208.2', 'train_samples_per_second': '0.482', 'train_steps_per_second': '0.125', 'train_loss': '1.92', 'epoch': '0.3624'} + Writing model shards: 0%| | 0/1 [00:00> Model weights saved in /home/ll/llm4rec/experiments/outputs/v47_v29_clean_world_guard_lr35e7_ep035/model.safetensors +[INFO|tokenization_utils_base.py:3278] 2026-07-16 01:39:35,634 >> chat template saved in /home/ll/llm4rec/experiments/outputs/v47_v29_clean_world_guard_lr35e7_ep035/chat_template.jinja +[INFO|tokenization_utils_base.py:2111] 2026-07-16 01:39:35,656 >> tokenizer config file saved in /home/ll/llm4rec/experiments/outputs/v47_v29_clean_world_guard_lr35e7_ep035/tokenizer_config.json +***** train metrics ***** + epoch = 0.3624 + total_flos = 11453868GF + train_loss = 1.92 + train_runtime = 0:03:28.20 + train_samples_per_second = 0.482 + train_steps_per_second = 0.125 +Figure saved at: /home/ll/llm4rec/experiments/outputs/v47_v29_clean_world_guard_lr35e7_ep035/training_loss.png +[WARNING|2026-07-16 01:39:35] llamafactory.extras.ploting:149 >> No metric eval_loss to plot. +[WARNING|2026-07-16 01:39:35] llamafactory.extras.ploting:149 >> No metric eval_accuracy to plot. +[INFO|modelcard.py:263] 2026-07-16 01:39:35,751 >> Dropping the following result as it does not have all the necessary fields: +{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}} diff --git a/train_results.json b/train_results.json new file mode 100644 index 0000000..eb42fcf --- /dev/null +++ b/train_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 0.3623693379790941, + "total_flos": 1.2298497723426816e+16, + "train_loss": 1.9200461094196026, + "train_runtime": 208.2018, + "train_samples_per_second": 0.482, + "train_steps_per_second": 0.125 +} \ No newline at end of file diff --git a/trainer_log.jsonl b/trainer_log.jsonl new file mode 100644 index 0000000..aa3713e --- /dev/null +++ b/trainer_log.jsonl @@ -0,0 +1,3 @@ +{"current_steps": 10, "total_steps": 26, "loss": 1.9448482513427734, "lr": 2.6876968912132437e-07, "epoch": 0.13937282229965156, "percentage": 38.46, "elapsed_time": "0:01:20", "remaining_time": "0:02:09"} 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