Add files using upload-large-folder tool
Browse files- deep_search/data_for_rl/MultiHopRAG_only_qa.json +0 -0
- deep_search/data_for_rl/domain_counts.json +546 -0
- deep_search/data_for_rl/jsonl_to_json.py +27 -0
- deep_search/data_for_rl/merge_data.py +47 -0
- deep_search/data_for_rl/musique_ans_v1.0_train_only_qa.json +0 -0
- deep_search/data_for_rl/musique_ans_v1.0_train_only_qa.jsonl +0 -0
- deep_search/data_for_rl/select_source.py +35 -0
- deep_search/data_for_rl/source_counts.json +6 -0
- deep_search/plot/draw_1.py +44 -0
- deep_search/plot/draw_2.py +96 -0
- deep_search/plot/draw_3.py +48 -0
- deep_search/search_o1/3-26_selected_data_1174_sft_doc_by_itself_QwQ-32B_1.log +2 -0
- deep_search/search_o1/bf_run_gen_data_mix_last_8000.sh +197 -0
- deep_search/search_o1/infer_wo_search_1.sh +32 -0
- deep_search/search_o1/llm_as_judge.sh +53 -0
- deep_search/search_o1/nohup.out +72 -0
- deep_search/search_o1/run_eval.sh +220 -0
- deep_search/search_o1/run_eval_benchmark_2wiki.sh +45 -0
- deep_search/search_o1/run_eval_benchmark_frames.sh +31 -0
- deep_search/search_o1/run_eval_benchmark_gaia.sh +31 -0
- deep_search/search_o1/run_eval_benchmark_train.sh +15 -0
- deep_search/search_o1/run_eval_sft.sh +246 -0
- deep_search/search_o1/run_eval_sft_3.log +1 -0
- deep_search/search_o1/run_gen_data (1).sh +53 -0
- deep_search/search_o1/run_gen_data_2.sh +54 -0
- deep_search/search_o1/run_gen_data_acc_ratios0.sh +62 -0
- deep_search/search_o1/run_gen_data_for_chinese_simple_qa.sh +80 -0
- deep_search/search_o1/run_gen_data_selected_2k.sh +216 -0
- deep_search/search_o1/run_syn_rollout_filter.sh +32 -0
- deep_search/search_o1/search_ex.json +138 -0
- deep_search/search_o1/search_without_wiki.json +78 -0
- deep_search/search_o1/vllm_serve.sh +10 -0
- deep_search/sft_logs/3-12-qa1200_qwq_qwen32b.log +0 -0
- deep_search/sft_logs/3-13_r1_32b_1200.log +0 -0
- deep_search/sft_logs/3-15_sft_qwq.log +0 -0
- deep_search/sft_logs/3-16_difficult_rollout_data_sft_add_prompt.log +0 -0
- deep_search/sft_logs/3-16_r1_32b_1478.log +0 -0
- deep_search/sft_logs/3-18_2k_qwen32b_inst.log +0 -0
- deep_search/sft_logs/3-18_2k_qwq_r1_32b.log +0 -0
- deep_search/sft_logs/3-19-1.2k_remove_exp_qwq.log +0 -0
- deep_search/sft_logs/3-20_1161_remove_exp_qwen7b_inst.log +0 -0
- deep_search/sft_logs/3-20_merged_2462_remove_exp_qwq.log +0 -0
- deep_search/sft_logs/3-22-merged_2462_nq_237_total_2699.log +0 -0
- deep_search/sft_logs/3-25_strict_selected_1526.log +0 -0
- deep_search/sft_logs/3-27.log +0 -0
- deep_search/sft_logs/4-2.log +0 -0
- deep_search/sft_logs/re.log +0 -0
- deep_search/sft_logs/sft_re.log +0 -0
- deep_search/sft_logs/test.log +0 -0
- ssh_node.sh +6 -0
deep_search/data_for_rl/MultiHopRAG_only_qa.json
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deep_search/data_for_rl/domain_counts.json
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| 1 |
+
{
|
| 2 |
+
"film": 65685,
|
| 3 |
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"history": 21913,
|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"people": 1710,
|
| 15 |
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| 16 |
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"football": 937,
|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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"video games": 147,
|
| 49 |
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"games": 147,
|
| 50 |
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"science": 143,
|
| 51 |
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"mythology": 141,
|
| 52 |
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"motorsports": 136,
|
| 53 |
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"university": 132,
|
| 54 |
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"dance": 128,
|
| 55 |
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"sport": 121,
|
| 56 |
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"wrestling": 118,
|
| 57 |
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"chemistry": 113,
|
| 58 |
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"fashion": 112,
|
| 59 |
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"linguistics": 107,
|
| 60 |
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"olympics": 105,
|
| 61 |
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"academia": 104,
|
| 62 |
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"radio": 99,
|
| 63 |
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"hockey": 98,
|
| 64 |
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"medicine": 94,
|
| 65 |
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"boxing": 94,
|
| 66 |
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"journalism": 78,
|
| 67 |
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"space": 76,
|
| 68 |
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"organization": 72,
|
| 69 |
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"culture": 72,
|
| 70 |
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"food": 69,
|
| 71 |
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"retail": 68,
|
| 72 |
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"geology": 68,
|
| 73 |
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"cricket": 62,
|
| 74 |
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"mma": 60,
|
| 75 |
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"cuisine": 59,
|
| 76 |
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"psychology": 56,
|
| 77 |
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"society": 53,
|
| 78 |
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"mathematics": 53,
|
| 79 |
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"company": 52,
|
| 80 |
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"meteorology": 51,
|
| 81 |
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"nobility": 49,
|
| 82 |
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"language": 48,
|
| 83 |
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"energy": 48,
|
| 84 |
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"engineering": 47,
|
| 85 |
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"events": 45,
|
| 86 |
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"manga": 44,
|
| 87 |
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"archaeology": 41,
|
| 88 |
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"culinary": 38,
|
| 89 |
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"tennis": 38,
|
| 90 |
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"anime": 37,
|
| 91 |
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|
| 92 |
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"martial arts": 37,
|
| 93 |
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|
| 94 |
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|
| 95 |
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"beer": 35,
|
| 96 |
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"banking": 33,
|
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+
"paralympics": 1,
|
| 521 |
+
"food and drink": 1,
|
| 522 |
+
"urban legend": 1,
|
| 523 |
+
"online betting": 1,
|
| 524 |
+
"streaming platforms": 1,
|
| 525 |
+
"artificial intelligence": 1,
|
| 526 |
+
"betting": 1,
|
| 527 |
+
"fantasy sports": 1,
|
| 528 |
+
"climate change": 1,
|
| 529 |
+
"climate science": 1,
|
| 530 |
+
"parenting": 1,
|
| 531 |
+
"global health": 1,
|
| 532 |
+
"environmental science and technology": 1,
|
| 533 |
+
"blues": 1,
|
| 534 |
+
"typography": 1,
|
| 535 |
+
"ontology": 1,
|
| 536 |
+
"japanese language": 1,
|
| 537 |
+
"genetics": 1,
|
| 538 |
+
"perfume": 1,
|
| 539 |
+
"international relations": 1,
|
| 540 |
+
"country": 1,
|
| 541 |
+
"publication": 1,
|
| 542 |
+
"public_relations": 1,
|
| 543 |
+
"peace": 1,
|
| 544 |
+
"demography": 1,
|
| 545 |
+
"tax": 1
|
| 546 |
+
}
|
deep_search/data_for_rl/jsonl_to_json.py
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
|
| 3 |
+
def jsonl_to_json(jsonl_file, json_file):
|
| 4 |
+
"""
|
| 5 |
+
将 JSONL 文件转换为 JSON 文件。
|
| 6 |
+
|
| 7 |
+
:param jsonl_file: 输入的 JSONL 文件路径
|
| 8 |
+
:param json_file: 输出的 JSON 文件路径
|
| 9 |
+
"""
|
| 10 |
+
# 用于存储所有的 JSON 对象
|
| 11 |
+
data_list = []
|
| 12 |
+
|
| 13 |
+
# 打开 JSONL 文件并逐行读取
|
| 14 |
+
with open(jsonl_file, 'r', encoding='utf-8') as f:
|
| 15 |
+
for line in f:
|
| 16 |
+
# 解析每一行的 JSON 数据
|
| 17 |
+
json_obj = json.loads(line.strip())
|
| 18 |
+
data_list.append(json_obj)
|
| 19 |
+
|
| 20 |
+
# 将数据写入 JSON 文件
|
| 21 |
+
with open(json_file, 'w', encoding='utf-8') as f:
|
| 22 |
+
json.dump(data_list, f, ensure_ascii=False, indent=4)
|
| 23 |
+
|
| 24 |
+
# 示例调用
|
| 25 |
+
input_file = "/share/project/sunshuang/deep_search/data_for_rl/musique_ans_v1.0_train_only_qa.jsonl"
|
| 26 |
+
output_file = "/share/project/sunshuang/deep_search/data_for_rl/musique_ans_v1.0_train_only_qa.json"
|
| 27 |
+
jsonl_to_json(input_file, output_file)
|
deep_search/data_for_rl/merge_data.py
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
|
| 3 |
+
def merge_json_files(file_paths, sources, output_file):
|
| 4 |
+
"""
|
| 5 |
+
合并多个 JSON 文件，并为每条数据添加 source 字段。
|
| 6 |
+
|
| 7 |
+
:param file_paths: 输入的 JSON 文件路径列表
|
| 8 |
+
:param sources: 每个文件对应的 source 字段值
|
| 9 |
+
:param output_file: 输出的合并后的 JSON 文件路径
|
| 10 |
+
"""
|
| 11 |
+
# 检查输入参数是否匹配
|
| 12 |
+
if len(file_paths) != len(sources):
|
| 13 |
+
raise ValueError("file_paths 和 sources 的长度必须相同")
|
| 14 |
+
|
| 15 |
+
# 存储合并后的数据
|
| 16 |
+
merged_data = []
|
| 17 |
+
|
| 18 |
+
# 遍历每个文件及其对应的 source
|
| 19 |
+
for file_path, source in zip(file_paths, sources):
|
| 20 |
+
with open(file_path, 'r', encoding='utf-8') as f:
|
| 21 |
+
data = json.load(f) # 加载 JSON 数据
|
| 22 |
+
for item in data:
|
| 23 |
+
item['source'] = source # 添加 source 字段
|
| 24 |
+
merged_data.extend(data) # 合并数据
|
| 25 |
+
|
| 26 |
+
# 将合并后的数据写入输出文件
|
| 27 |
+
with open(output_file, 'w', encoding='utf-8') as f:
|
| 28 |
+
json.dump(merged_data, f, ensure_ascii=False, indent=4)
|
| 29 |
+
|
| 30 |
+
# 示例调用
|
| 31 |
+
file_paths = [
|
| 32 |
+
'/share/project/sunshuang/deep_search/data_for_rl/2wiki_train_only_compositional_qa.json',
|
| 33 |
+
'/share/project/sunshuang/deep_search/data_for_rl/hotpot_train_v1.1_only_qa.json',
|
| 34 |
+
'/share/project/sunshuang/deep_search/data_for_rl/MultiHopRAG_only_qa.json',
|
| 35 |
+
'/share/project/sunshuang/deep_search/data_for_rl/musique_ans_v1.0_train_only_qa.json'
|
| 36 |
+
]
|
| 37 |
+
|
| 38 |
+
sources = [
|
| 39 |
+
'2wiki_compositional',
|
| 40 |
+
'hotpot',
|
| 41 |
+
'MultiHopRAG',
|
| 42 |
+
'musique'
|
| 43 |
+
]
|
| 44 |
+
|
| 45 |
+
output_file = '/share/project/sunshuang/deep_search/data_for_rl/merged_data.json'
|
| 46 |
+
|
| 47 |
+
merge_json_files(file_paths, sources, output_file)
|
deep_search/data_for_rl/musique_ans_v1.0_train_only_qa.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/data_for_rl/musique_ans_v1.0_train_only_qa.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/data_for_rl/select_source.py
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
|
| 3 |
+
def read_json(file_path):
|
| 4 |
+
"""从 JSON 文件中读取数据"""
|
| 5 |
+
with open(file_path, "r", encoding="utf-8") as f:
|
| 6 |
+
data = json.load(f)
|
| 7 |
+
print(f"load from {file_path}, total item: {len(data)}")
|
| 8 |
+
return data
|
| 9 |
+
|
| 10 |
+
def read_jsonl(file_path):
|
| 11 |
+
"""从 JSON Lines 文件中读取数据"""
|
| 12 |
+
data = []
|
| 13 |
+
with open(file_path, "r", encoding="utf-8") as f:
|
| 14 |
+
for line in f:
|
| 15 |
+
data.append(json.loads(line.strip()))
|
| 16 |
+
print(f"load from {file_path}, total item: {len(data)}")
|
| 17 |
+
return data
|
| 18 |
+
|
| 19 |
+
def write_json(data, file_path):
|
| 20 |
+
"""将数据写入 JSON 文件"""
|
| 21 |
+
with open(file_path, "w", encoding="utf-8") as f:
|
| 22 |
+
json.dump(data, f, ensure_ascii=False, indent=4)
|
| 23 |
+
print(f"write to {file_path}, total item: {len(data)}")
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
input_file = "/share/project/sunshuang/deep_search/data_for_rl/tagged_domain_keypoints/merged_data_tagged_domain_keypoints_keywords_count.json"
|
| 27 |
+
output_file = "/share/project/sunshuang/deep_search/data_for_rl/musique_tagged/musique_tagged_domain_keypoints_keywords_count.json"
|
| 28 |
+
data = read_json(input_file)
|
| 29 |
+
|
| 30 |
+
selected_data = []
|
| 31 |
+
for item in data:
|
| 32 |
+
if item["source"] == "musique":
|
| 33 |
+
selected_data.append(item)
|
| 34 |
+
|
| 35 |
+
write_json(selected_data, output_file)
|
deep_search/data_for_rl/source_counts.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"2wiki_compositional": 80860,
|
| 3 |
+
"hotpot": 72991,
|
| 4 |
+
"MultiHopRAG": 2556,
|
| 5 |
+
"musique": 19938
|
| 6 |
+
}
|
deep_search/plot/draw_1.py
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import matplotlib.pyplot as plt
|
| 2 |
+
import numpy as np
|
| 3 |
+
|
| 4 |
+
# 数据
|
| 5 |
+
categories = ['2Wiki', 'Bamboogle', 'Musique', 'Frames', 'GAIA']
|
| 6 |
+
DG = [26.8, 17.6, 6.2, 10.1, 6.8]
|
| 7 |
+
RAG = [34.8, 31.2, 14.6, 13.5, 0]
|
| 8 |
+
Search_o1 = [50.4, 52.8, 18.8, 30.2, 17.5]
|
| 9 |
+
R1_searcher = [66.4, 68.8, 26.8, 40.3, 20.4]
|
| 10 |
+
cyber = [76.4, 76.8, 29.4, 50.1, 33.7]
|
| 11 |
+
|
| 12 |
+
# 设置柱状图的位置
|
| 13 |
+
x = np.arange(len(categories))
|
| 14 |
+
width = 0.12
|
| 15 |
+
|
| 16 |
+
# 创建图表
|
| 17 |
+
fig, ax = plt.subplots(figsize=(12, 9))
|
| 18 |
+
|
| 19 |
+
ax.bar(x - 2*width, DG, width, label='Directly Gen', color='#8092C4')
|
| 20 |
+
ax.bar(x - width, RAG, width, label='Standard RAG', color='#D0DCE8')
|
| 21 |
+
ax.bar(x, Search_o1, width, label='Search-o1', color='#F7EABB')
|
| 22 |
+
ax.bar(x + width, R1_searcher, width, label='R1-Searcher', color='#EFD6D1')
|
| 23 |
+
ax.bar(x + 2*width, cyber, width, label='SimpleDeepSearcher', color='#C4B7CB')
|
| 24 |
+
|
| 25 |
+
ax.set_ylabel('Accuracy / Percentile (%)', fontsize=12)
|
| 26 |
+
ax.set_xticks(x)
|
| 27 |
+
ax.set_xticklabels(categories, fontsize=10)
|
| 28 |
+
ax.legend(loc='upper right', fontsize=10)
|
| 29 |
+
|
| 30 |
+
# 不再添加数据标签
|
| 31 |
+
|
| 32 |
+
# 调整布局
|
| 33 |
+
plt.ylim(0, 80)
|
| 34 |
+
plt.tight_layout()
|
| 35 |
+
|
| 36 |
+
# 增加顶部空间
|
| 37 |
+
plt.subplots_adjust(top=0.94)
|
| 38 |
+
|
| 39 |
+
# 添加标题
|
| 40 |
+
plt.title("Backbone: Qwen-2.5-7B-Instruct, evaluation: LLM-as-Judge", fontsize=18, ha="center")
|
| 41 |
+
|
| 42 |
+
output_path = 'benchmarks_cyber_7B.png'
|
| 43 |
+
plt.savefig(output_path, dpi=1000)
|
| 44 |
+
print(output_path)
|
deep_search/plot/draw_2.py
ADDED
|
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# import matplotlib.pyplot as plt
|
| 2 |
+
# import numpy as np
|
| 3 |
+
|
| 4 |
+
# # 数据
|
| 5 |
+
# categories = ['2Wiki', 'Bamboogle', 'Musique', 'Frames', 'GAIA']
|
| 6 |
+
# DG = [26.8, 17.6, 6.2, 10.1, 6.8]
|
| 7 |
+
# RAG = [34.8, 31.2, 14.6, 13.5, 0]
|
| 8 |
+
# Search_o1 = [50.4, 52.8, 18.8, 30.2, 17.5]
|
| 9 |
+
# R1_searcher = [66.4, 68.8, 26.8, 40.3, 20.4]
|
| 10 |
+
# deep = [66.6, 72.8, 29.3, 0, 0]
|
| 11 |
+
# cyber = [76.4, 76.8, 29.4, 50.1, 33.7]
|
| 12 |
+
|
| 13 |
+
# # 设置柱状图的位置
|
| 14 |
+
# x = np.arange(len(categories))
|
| 15 |
+
# width = 0.12
|
| 16 |
+
|
| 17 |
+
# # 创建图表
|
| 18 |
+
# fig, ax = plt.subplots(figsize=(12, 8))
|
| 19 |
+
|
| 20 |
+
# ax.bar(x - 2*width, DG, width, label='Directly Gen', color='#8092C4')
|
| 21 |
+
# ax.bar(x - width, RAG, width, label='Standard RAG', color='#D0DCE8')
|
| 22 |
+
# ax.bar(x, Search_o1, width, label='Search-o1', color='#F7EABB')
|
| 23 |
+
# ax.bar(x + width, R1_searcher, width, label='R1-Searcher', color='#EFD6D1')
|
| 24 |
+
# ax.bar(x + 2*width, deep, width, label='DeepResearcher', color='#E8BE74')
|
| 25 |
+
# ax.bar(x + 3*width, cyber, width, label='CyberSearcher', color='#C4B7CB')
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
# ax.set_ylabel('Accuracy / Percentile (%)', fontsize=12)
|
| 29 |
+
# ax.set_xticks(x)
|
| 30 |
+
# ax.set_xticklabels(categories, fontsize=10)
|
| 31 |
+
# ax.legend(loc='upper right', fontsize=10)
|
| 32 |
+
|
| 33 |
+
# # 添加数据标签
|
| 34 |
+
# for i in range(len(categories)):
|
| 35 |
+
# ax.text(x[i] - 2*width, DG[i] + 0.5, f'{DG[i]:.1f}', ha='center', va='bottom', fontsize=10)
|
| 36 |
+
# ax.text(x[i] - width, RAG[i] + 0.5, f'{RAG[i]:.1f}', ha='center', va='bottom', fontsize=10)
|
| 37 |
+
# ax.text(x[i], Search_o1[i] + 0.5, f'{Search_o1[i]:.1f}', ha='center', va='bottom', fontsize=10)
|
| 38 |
+
# ax.text(x[i] + width, R1_searcher[i] + 0.5, f'{R1_searcher[i]:.1f}', ha='center', va='bottom', fontsize=10)
|
| 39 |
+
# ax.text(x[i] + 2*width, deep[i] + 0.5, f'{deep[i]:.1f}', ha='center', va='bottom', fontsize=10)
|
| 40 |
+
# ax.text(x[i] + 3*width, cyber[i] + 0.5, f'{cyber[i]:.1f}', ha='center', va='bottom', fontsize=10)
|
| 41 |
+
|
| 42 |
+
# # 调整布局
|
| 43 |
+
# plt.ylim(0, 80)
|
| 44 |
+
# plt.tight_layout()
|
| 45 |
+
|
| 46 |
+
# output_path = '/opt/aps/workdir/benchmarks_cyber_7B.png'
|
| 47 |
+
# plt.savefig(output_path, dpi=1000)
|
| 48 |
+
# print(output_path)
|
| 49 |
+
import matplotlib.pyplot as plt
|
| 50 |
+
import numpy as np
|
| 51 |
+
|
| 52 |
+
# 数据
|
| 53 |
+
categories = ['2Wiki', 'Bamboogle', 'Musique', 'Frames', 'GAIA']
|
| 54 |
+
DG = [39.8,29.6,17.4,31.3,11.7]
|
| 55 |
+
RAG = [50.6,46.4,19.6,31.6,0]
|
| 56 |
+
Search_o1 = [78.0,78.4,36.4,64.4,37.9]
|
| 57 |
+
cyber = [82.8,86.4,34.4,68.7,47.6]
|
| 58 |
+
webthinker= [0,0,0,0,44.7]
|
| 59 |
+
# 设置柱状图的位置
|
| 60 |
+
x = np.arange(len(categories))
|
| 61 |
+
width = 0.12
|
| 62 |
+
|
| 63 |
+
# 创建图表
|
| 64 |
+
fig, ax = plt.subplots(figsize=(12, 9))
|
| 65 |
+
|
| 66 |
+
ax.bar(x - 2*width, DG, width, label='Directly Gen', color='#8092C4')
|
| 67 |
+
ax.bar(x - width, RAG, width, label='Standard RAG', color='#D0DCE8')
|
| 68 |
+
ax.bar(x, Search_o1, width, label='Search-o1', color='#F7EABB')
|
| 69 |
+
ax.bar(x + 2*width, webthinker, width, label='WebThinker', color='#EFD6D1')
|
| 70 |
+
# ax.bar(x + 2*width, deep, width, label='DeepResearcher', color='#E8BE74')
|
| 71 |
+
ax.bar(x + 1*width, cyber, width, label='SimpleDeepSearcher', color='#C4B7CB')
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
ax.set_ylabel('Accuracy / Percentile (%)', fontsize=12)
|
| 75 |
+
ax.set_xticks(x)
|
| 76 |
+
ax.set_xticklabels(categories, fontsize=10)
|
| 77 |
+
ax.legend(loc='upper right', fontsize=10)
|
| 78 |
+
|
| 79 |
+
# 不再添加数据标签
|
| 80 |
+
|
| 81 |
+
# 调整布局
|
| 82 |
+
plt.ylim(0, 90)
|
| 83 |
+
plt.tight_layout()
|
| 84 |
+
|
| 85 |
+
# 增加顶部空间
|
| 86 |
+
plt.subplots_adjust(top=0.94)
|
| 87 |
+
|
| 88 |
+
# 添加标题
|
| 89 |
+
# plt.title("Use Qwen-2.5-32B-Instruct as the backbone and use LLM-as-Judge as the metric.", fontsize=18, ha="center")
|
| 90 |
+
plt.title("Backbone: Qwen-2.5-32B-Instruct, evaluation: LLM-as-Judge", fontsize=18, ha="center")
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
output_path = 'benchmarks_cyber_32B.png'
|
| 95 |
+
plt.savefig(output_path, dpi=1000)
|
| 96 |
+
print(output_path)
|
deep_search/plot/draw_3.py
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import matplotlib.pyplot as plt
|
| 2 |
+
import numpy as np
|
| 3 |
+
|
| 4 |
+
# 数据
|
| 5 |
+
categories = ['2Wiki', 'Bamboogle', 'Musique', 'Frames', 'GAIA']
|
| 6 |
+
DG = [39.8,29.6,17.4,31.3,11.7]
|
| 7 |
+
RAG = [50.6,46.4,19.6,31.6,0]
|
| 8 |
+
Search_o1 = [78.0,78.4,36.4,64.4,37.9]
|
| 9 |
+
cyber = [82.8,86.4,34.4,68.7,47.6]
|
| 10 |
+
webthinker= [0,0,0,0,44.7]
|
| 11 |
+
|
| 12 |
+
# 设置柱状图的位置
|
| 13 |
+
x = np.arange(len(categories))
|
| 14 |
+
width = 0.12
|
| 15 |
+
|
| 16 |
+
# 创建图表
|
| 17 |
+
fig, ax = plt.subplots(figsize=(12, 9))
|
| 18 |
+
|
| 19 |
+
# 处理RAG数据，过滤掉0值 [[2]][[5]]
|
| 20 |
+
rag_mask = np.array(RAG) != 0
|
| 21 |
+
rag_x = x[rag_mask] - width
|
| 22 |
+
rag_heights = np.array(RAG)[rag_mask]
|
| 23 |
+
|
| 24 |
+
# 绘制各模型柱状图
|
| 25 |
+
ax.bar(x - 2*width, DG, width, label='Directly Gen', color='#8092C4')
|
| 26 |
+
ax.bar(rag_x, rag_heights, width, label='Standard RAG', color='#D0DCE8')
|
| 27 |
+
ax.bar(x, Search_o1, width, label='Search-o1', color='#F7EABB')
|
| 28 |
+
ax.bar(x + 1*width, cyber, width, label='SimpleDeepSearcher', color='#C4B7CB')
|
| 29 |
+
ax.bar(x + 2*width, webthinker, width, label='WebThinker', color='#EFD6D1')
|
| 30 |
+
|
| 31 |
+
# 扩展x轴范围以包含所有柱子 [[10]]
|
| 32 |
+
ax.set_xlim(x[0]-2.5*width, x[-1]+2.5*width)
|
| 33 |
+
|
| 34 |
+
# 设置图表属性
|
| 35 |
+
ax.set_ylabel('Accuracy / Percentile (%)', fontsize=12)
|
| 36 |
+
ax.set_xticks(x)
|
| 37 |
+
ax.set_xticklabels(categories, fontsize=10)
|
| 38 |
+
ax.legend(loc='upper right', fontsize=10)
|
| 39 |
+
plt.ylim(0, 90)
|
| 40 |
+
plt.tight_layout()
|
| 41 |
+
plt.subplots_adjust(top=0.94)
|
| 42 |
+
plt.title("Use Qwen-2.5-32B-Instruct as the backbone and use LLM-as-Judge as the metric.",
|
| 43 |
+
fontsize=18, ha="center")
|
| 44 |
+
|
| 45 |
+
# 保存图表
|
| 46 |
+
output_path = 'benchmarks_cyber_32B.png'
|
| 47 |
+
plt.savefig(output_path, dpi=1000)
|
| 48 |
+
print(output_path)
|
deep_search/search_o1/3-26_selected_data_1174_sft_doc_by_itself_QwQ-32B_1.log
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
nohup: ignoring input
|
| 2 |
+
/share/project/miniconda/envs/search_o1/bin/python: can't open file '/share/project/sunshuang/deep_search/search_o1/wait_eval_use_one_model_for_ckpt.py': [Errno 2] No such file or directory
|
deep_search/search_o1/bf_run_gen_data_mix_last_8000.sh
ADDED
|
@@ -0,0 +1,197 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
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|
|
|
|
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|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# worker 1
|
| 2 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 3 |
+
python /share/project/sunshuang/deep_search/search_o1/scripts/search_o1_sum_all_webpage_rollout.py\
|
| 4 |
+
--dataset_name bf_merged_data_tagged_domain_keypoints_keywords_count_add_source_answer \
|
| 5 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 6 |
+
--output_dir_base /share/project/baifei/filter-syn-ai-search/rollout/0321/result_154/search/roll-32b-inst-search-154items \
|
| 7 |
+
--split gen \
|
| 8 |
+
--max_search_limit 10 \
|
| 9 |
+
--max_turn 10 \
|
| 10 |
+
--top_k 10 \
|
| 11 |
+
--rollout_num 5 \
|
| 12 |
+
--max_doc_len 5000 \
|
| 13 |
+
--model_path "/share/project/zhipengchen/model/Qwen2.5-32B-Instruct" \
|
| 14 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 15 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/baifei/filter-syn-ai-search/rollout/0321/result_154/search/search-154.log 2>&1 &
|
| 16 |
+
|
| 17 |
+
cat <<test1
|
| 18 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 19 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 20 |
+
--dataset_name mixed_data_left_last_8000_split_2 \
|
| 21 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 22 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_2 \
|
| 23 |
+
--split gen \
|
| 24 |
+
--max_search_limit 10 \
|
| 25 |
+
--max_turn 10 \
|
| 26 |
+
--top_k 10 \
|
| 27 |
+
--rollout_num 1 \
|
| 28 |
+
--max_doc_len 5000 \
|
| 29 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 30 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 31 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_2.log 2>&1 &
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 36 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 37 |
+
--dataset_name mixed_data_left_last_8000_split_3 \
|
| 38 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 39 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_3 \
|
| 40 |
+
--split gen \
|
| 41 |
+
--max_search_limit 10 \
|
| 42 |
+
--max_turn 10 \
|
| 43 |
+
--top_k 10 \
|
| 44 |
+
--rollout_num 3 \
|
| 45 |
+
--max_doc_len 5000 \
|
| 46 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 47 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 48 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_3.log 2>&1 &
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 54 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 55 |
+
--dataset_name mixed_data_left_last_8000_split_4 \
|
| 56 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 57 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_4 \
|
| 58 |
+
--split gen \
|
| 59 |
+
--max_search_limit 10 \
|
| 60 |
+
--max_turn 10 \
|
| 61 |
+
--top_k 10 \
|
| 62 |
+
--rollout_num 3 \
|
| 63 |
+
--max_doc_len 5000 \
|
| 64 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 65 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 66 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_4.log 2>&1 &
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
# worker 2
|
| 70 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 71 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 72 |
+
--dataset_name mixed_data_left_last_8000_split_5 \
|
| 73 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 74 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_5 \
|
| 75 |
+
--split gen \
|
| 76 |
+
--max_search_limit 10 \
|
| 77 |
+
--max_turn 10 \
|
| 78 |
+
--top_k 10 \
|
| 79 |
+
--rollout_num 3 \
|
| 80 |
+
--max_doc_len 5000 \
|
| 81 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 82 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 83 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_5.log 2>&1 &
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 87 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 88 |
+
--dataset_name mixed_data_left_last_8000_split_6 \
|
| 89 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 90 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_6 \
|
| 91 |
+
--split gen \
|
| 92 |
+
--max_search_limit 10 \
|
| 93 |
+
--max_turn 10 \
|
| 94 |
+
--top_k 10 \
|
| 95 |
+
--rollout_num 1 \
|
| 96 |
+
--max_doc_len 5000 \
|
| 97 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 98 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 99 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_6.log 2>&1 &
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 103 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 104 |
+
--dataset_name mixed_data_left_last_8000_split_7 \
|
| 105 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 106 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_7 \
|
| 107 |
+
--split gen \
|
| 108 |
+
--max_search_limit 10 \
|
| 109 |
+
--max_turn 10 \
|
| 110 |
+
--top_k 10 \
|
| 111 |
+
--rollout_num 3 \
|
| 112 |
+
--max_doc_len 5000 \
|
| 113 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 114 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 115 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_7.log 2>&1 &
|
| 116 |
+
|
| 117 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 118 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 119 |
+
--dataset_name mixed_data_left_last_8000_split_8 \
|
| 120 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 121 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_8 \
|
| 122 |
+
--split gen \
|
| 123 |
+
--max_search_limit 10 \
|
| 124 |
+
--max_turn 10 \
|
| 125 |
+
--top_k 10 \
|
| 126 |
+
--rollout_num 3 \
|
| 127 |
+
--max_doc_len 5000 \
|
| 128 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 129 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 130 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_8.log 2>&1 &
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
# worker 3
|
| 134 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 135 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 136 |
+
--dataset_name mixed_data_left_last_8000_split_9 \
|
| 137 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 138 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_9 \
|
| 139 |
+
--split gen \
|
| 140 |
+
--max_search_limit 10 \
|
| 141 |
+
--max_turn 10 \
|
| 142 |
+
--top_k 10 \
|
| 143 |
+
--rollout_num 3 \
|
| 144 |
+
--max_doc_len 5000 \
|
| 145 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 146 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 147 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_9.log 2>&1 &
|
| 148 |
+
|
| 149 |
+
|
| 150 |
+
|
| 151 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 152 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 153 |
+
--dataset_name mixed_data_left_last_8000_split_10 \
|
| 154 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 155 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_10 \
|
| 156 |
+
--split gen \
|
| 157 |
+
--max_search_limit 10 \
|
| 158 |
+
--max_turn 10 \
|
| 159 |
+
--top_k 10 \
|
| 160 |
+
--rollout_num 3 \
|
| 161 |
+
--max_doc_len 5000 \
|
| 162 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 163 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 164 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_10.log 2>&1 &
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 168 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 169 |
+
--dataset_name mixed_data_left_last_8000_split_11 \
|
| 170 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 171 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_11 \
|
| 172 |
+
--split gen \
|
| 173 |
+
--max_search_limit 10 \
|
| 174 |
+
--max_turn 10 \
|
| 175 |
+
--top_k 10 \
|
| 176 |
+
--rollout_num 3 \
|
| 177 |
+
--max_doc_len 5000 \
|
| 178 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 179 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 180 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_11.log 2>&1 &
|
| 181 |
+
|
| 182 |
+
|
| 183 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 184 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 185 |
+
--dataset_name mixed_data_left_last_8000_split_12 \
|
| 186 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 187 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_mixed_data_left_last_8000_split_12 \
|
| 188 |
+
--split gen \
|
| 189 |
+
--max_search_limit 10 \
|
| 190 |
+
--max_turn 10 \
|
| 191 |
+
--top_k 10 \
|
| 192 |
+
--rollout_num 3 \
|
| 193 |
+
--max_doc_len 5000 \
|
| 194 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 195 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 196 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/mixed_data_left_last_8000_split_12.log 2>&1 &
|
| 197 |
+
test1
|
deep_search/search_o1/infer_wo_search_1.sh
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
############################
|
| 3 |
+
# musique
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 7 |
+
python scripts/inference_wo_search.py \
|
| 8 |
+
--model_name QwQ-32B \
|
| 9 |
+
--model_path /share/project/zhipengchen/model/QwQ-32B \
|
| 10 |
+
--dataset_name musique_syn \
|
| 11 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/data/test/musique_syn.json
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
python scripts/inference_wo_search.py \
|
| 15 |
+
--model_name DeepSeek-R1-Distill-Qwen-32B \
|
| 16 |
+
--model_path /share/project/zhipengchen/model/DeepSeek-R1-Distill-Qwen-32B \
|
| 17 |
+
--dataset_name musique_syn \
|
| 18 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/data/test/musique_syn.json
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
python scripts/inference_wo_search.py \
|
| 22 |
+
--model_name Qwen2.5-7B-Instruct \
|
| 23 |
+
--model_path /share/project/zhipengchen/model/Qwen2.5-7B-Instruct \
|
| 24 |
+
--dataset_name musique_syn \
|
| 25 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/data/test/musique_syn.json
|
| 26 |
+
|
| 27 |
+
python scripts/inference_wo_search.py \
|
| 28 |
+
--model_name Qwen2.5-32B-Instruct \
|
| 29 |
+
--model_path /share/project/zhipengchen/model/Qwen2.5-32B-Instruct \
|
| 30 |
+
--dataset_name musique_syn \
|
| 31 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/data/test/musique_syn.json
|
| 32 |
+
|
deep_search/search_o1/llm_as_judge.sh
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 3 |
+
nohup python -u scripts/llm_as_judge.py \
|
| 4 |
+
--model_path /share/project/zhipengchen/model/QwQ-32B/ \
|
| 5 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:9578#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/73/syn_zh/turn_9.json \
|
| 6 |
+
--language zh > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:9578#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/73/syn_zh/inf.log 2>&1 &
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 12 |
+
nohup python -u scripts/llm_as_judge.py \
|
| 13 |
+
--model_path /share/project/zhipengchen/model/QwQ-32B/ \
|
| 14 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/154/syn_zh/turn_11.json \
|
| 15 |
+
--language zh > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/154/syn_zh/inf.log 2>&1 &
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 19 |
+
nohup python -u scripts/llm_as_judge.py \
|
| 20 |
+
--model_path /share/project/zhipengchen/model/QwQ-32B/ \
|
| 21 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/output/output_eval/outputs_sum_all_webpage_qwq_new_setting_syn_zh/turn_8.json \
|
| 22 |
+
--language zh > /share/project/sunshuang/deep_search/search_o1/output/output_eval/outputs_sum_all_webpage_qwq_new_setting_syn_zh/inf.log 2>&1 &
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
# /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/228/syn_zh/turn_10.json
|
| 26 |
+
|
| 27 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 28 |
+
nohup python -u scripts/llm_as_judge.py \
|
| 29 |
+
--model_path /share/project/zhipengchen/model/QwQ-32B/ \
|
| 30 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/228/syn_zh/turn_10.json \
|
| 31 |
+
--language zh > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/228/syn_zh/inf_llm.log 2>&1 &
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
nohup python -u scripts/llm_as_judge.py \
|
| 37 |
+
--model_name gpt-4o \
|
| 38 |
+
--model_path gpt-4o \
|
| 39 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:9578#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/73/musique_syn/turn_13.json \
|
| 40 |
+
--language en > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:9578#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/73/musique_syn/inf_gpt-4o.log 2>&1 &
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
nohup python -u scripts/llm_as_judge.py \
|
| 44 |
+
--model_name gpt-4o \
|
| 45 |
+
--model_path gpt-4o \
|
| 46 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/output/output_eval/outputs_sum_all_webpage_qwq_new_setting_musique_syn/turn_13.json \
|
| 47 |
+
--language en > /share/project/sunshuang/deep_search/search_o1/output/output_eval/outputs_sum_all_webpage_qwq_new_setting_musique_syn/inf_gpt-4o.log 2>&1 &
|
| 48 |
+
|
| 49 |
+
nohup python -u scripts/llm_as_judge.py \
|
| 50 |
+
--model_name gpt-4o \
|
| 51 |
+
--model_path gpt-4o \
|
| 52 |
+
--input_file /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/228/musique_syn/turn_13.json \
|
| 53 |
+
--language en > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/228/musique_syn/inf_gpt-4o.log 2>&1 &
|
deep_search/search_o1/nohup.out
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
usage: search_o1_sum_all_webpage_rollout.py [-h] --dataset_name DATASET_NAME
|
| 2 |
+
--split SPLIT
|
| 3 |
+
[--subset_num SUBSET_NUM]
|
| 4 |
+
[--max_search_limit MAX_SEARCH_LIMIT]
|
| 5 |
+
[--max_turn MAX_TURN]
|
| 6 |
+
[--top_k TOP_K]
|
| 7 |
+
[--max_doc_len MAX_DOC_LEN]
|
| 8 |
+
[--use_jina]
|
| 9 |
+
[--jina_api_key JINA_API_KEY]
|
| 10 |
+
--model_path MODEL_PATH
|
| 11 |
+
[--temperature TEMPERATURE]
|
| 12 |
+
[--top_p TOP_P]
|
| 13 |
+
[--top_k_sampling TOP_K_SAMPLING]
|
| 14 |
+
[--repetition_penalty REPETITION_PENALTY]
|
| 15 |
+
[--max_tokens MAX_TOKENS]
|
| 16 |
+
--bing_subscription_key
|
| 17 |
+
BING_SUBSCRIPTION_KEY
|
| 18 |
+
[--bing_endpoint BING_ENDPOINT]
|
| 19 |
+
--cache_dir_base CACHE_DIR_BASE
|
| 20 |
+
--output_dir_base OUTPUT_DIR_BASE
|
| 21 |
+
[--is_exclude_urls]
|
| 22 |
+
[--rollout_num ROLLOUT_NUM]
|
| 23 |
+
search_o1_sum_all_webpage_rollout.py: error: unrecognized arguments:
|
| 24 |
+
Traceback (most recent call last):
|
| 25 |
+
File "/share/project/sunshuang/deep_search/search_o1/scripts/search_o1_sum_all_webpage.py", line 13, in <module>
|
| 26 |
+
from transformers import AutoTokenizer
|
| 27 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/transformers/__init__.py", line 26, in <module>
|
| 28 |
+
from . import dependency_versions_check
|
| 29 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/transformers/dependency_versions_check.py", line 16, in <module>
|
| 30 |
+
from .utils.versions import require_version, require_version_core
|
| 31 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/transformers/utils/__init__.py", line 21, in <module>
|
| 32 |
+
from huggingface_hub import get_full_repo_name # for backward compatibility
|
| 33 |
+
File "<frozen importlib._bootstrap>", line 1055, in _handle_fromlist
|
| 34 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/huggingface_hub/__init__.py", line 962, in __getattr__
|
| 35 |
+
submod = importlib.import_module(submod_path)
|
| 36 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/importlib/__init__.py", line 127, in import_module
|
| 37 |
+
return _bootstrap._gcd_import(name[level:], package, level)
|
| 38 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 63, in <module>
|
| 39 |
+
from ._inference_endpoints import InferenceEndpoint, InferenceEndpointType
|
| 40 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/huggingface_hub/_inference_endpoints.py", line 9, in <module>
|
| 41 |
+
from .inference._client import InferenceClient
|
| 42 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/huggingface_hub/inference/_client.py", line 45, in <module>
|
| 43 |
+
from huggingface_hub.inference._common import (
|
| 44 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/huggingface_hub/inference/_common.py", line 53, in <module>
|
| 45 |
+
from ._generated.types import ChatCompletionStreamOutput, TextGenerationStreamOutput
|
| 46 |
+
File "/share/project/miniconda/envs/search_o1/lib/python3.9/site-packages/huggingface_hub/inference/_generated/types/__init__.py", line 62, in <module>
|
| 47 |
+
from .feature_extraction import FeatureExtractionInput, FeatureExtractionInputTruncationDirection
|
| 48 |
+
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
|
| 49 |
+
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
|
| 50 |
+
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
|
| 51 |
+
File "<frozen importlib._bootstrap_external>", line 846, in exec_module
|
| 52 |
+
File "<frozen importlib._bootstrap_external>", line 941, in get_code
|
| 53 |
+
File "<frozen importlib._bootstrap_external>", line 1040, in get_data
|
| 54 |
+
KeyboardInterrupt
|
| 55 |
+
usage: search_o1_sum_all_webpage.py [-h] --dataset_name DATASET_NAME --split
|
| 56 |
+
SPLIT [--subset_num SUBSET_NUM]
|
| 57 |
+
[--max_search_limit MAX_SEARCH_LIMIT]
|
| 58 |
+
[--max_turn MAX_TURN] [--top_k TOP_K]
|
| 59 |
+
[--max_doc_len MAX_DOC_LEN] [--use_jina]
|
| 60 |
+
[--jina_api_key JINA_API_KEY] --model_path
|
| 61 |
+
MODEL_PATH [--temperature TEMPERATURE]
|
| 62 |
+
[--top_p TOP_P]
|
| 63 |
+
[--top_k_sampling TOP_K_SAMPLING]
|
| 64 |
+
[--repetition_penalty REPETITION_PENALTY]
|
| 65 |
+
[--max_tokens MAX_TOKENS]
|
| 66 |
+
--bing_subscription_key
|
| 67 |
+
BING_SUBSCRIPTION_KEY
|
| 68 |
+
[--bing_endpoint BING_ENDPOINT]
|
| 69 |
+
--cache_dir_base CACHE_DIR_BASE
|
| 70 |
+
--output_dir_base OUTPUT_DIR_BASE
|
| 71 |
+
[--is_exclude_urls]
|
| 72 |
+
search_o1_sum_all_webpage.py: error: the following arguments are required: --split, --model_path, --bing_subscription_key
|
deep_search/search_o1/run_eval.sh
ADDED
|
@@ -0,0 +1,220 @@
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export http_proxy=http://127.0.0.1:7880
|
| 2 |
+
export https_proxy=http://127.0.0.1:7880
|
| 3 |
+
|
| 4 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 5 |
+
|
| 6 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/reason_two_model_1.py \
|
| 7 |
+
# --dataset_name hotpotqa \
|
| 8 |
+
# --cache_dir_base cache/eval \
|
| 9 |
+
# --output_dir_base outputs/eval_qwen_2_5_7b \
|
| 10 |
+
# --split test \
|
| 11 |
+
# --max_search_limit 5 \
|
| 12 |
+
# --max_turn 10 \
|
| 13 |
+
# --top_k 5 \
|
| 14 |
+
# --max_doc_len 3000 \
|
| 15 |
+
# --subset_num 100 \
|
| 16 |
+
# --model_path "/opt/aps/workdir/output/checkpoint/qwen_2_5_7b_test" \
|
| 17 |
+
# --model_doc_reason_path "/capacity/userdata/models/DeepSeek-R1-Distill-Qwen-32" \
|
| 18 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 19 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 20 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 21 |
+
|
| 22 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 23 |
+
# --dataset_name hotpotqa \
|
| 24 |
+
# --cache_dir_base cache_modify_extract_answer/eval \
|
| 25 |
+
# --output_dir_base outputs_modify_extract_answer/eval_qwen_2_5_32b_data_1217 \
|
| 26 |
+
# --split test \
|
| 27 |
+
# --max_search_limit 5 \
|
| 28 |
+
# --max_turn 10 \
|
| 29 |
+
# --top_k 5 \
|
| 30 |
+
# --max_doc_len 3000 \
|
| 31 |
+
# --subset_num 100 \
|
| 32 |
+
# --model_path "/opt/aps/workdir/output/checkpoint/qwen_2_5_32b_data_1217" \
|
| 33 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 34 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 35 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 36 |
+
|
| 37 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 38 |
+
# --dataset_name hotpotqa \
|
| 39 |
+
# --cache_dir_base cache_modify_extract_answer/eval \
|
| 40 |
+
# --output_dir_base outputs_modify_extract_answer/eval_original_qwen_2_5_32b \
|
| 41 |
+
# --split test \
|
| 42 |
+
# --max_search_limit 5 \
|
| 43 |
+
# --max_turn 10 \
|
| 44 |
+
# --top_k 5 \
|
| 45 |
+
# --max_doc_len 3000 \
|
| 46 |
+
# --subset_num 100 \
|
| 47 |
+
# --model_path "/capacity/userdata/models/Qwen2.5-32B-Instruct" \
|
| 48 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 49 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 50 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 55 |
+
# --dataset_name hotpotqa \
|
| 56 |
+
# --cache_dir_base cache_modify_extract_answer/eval \
|
| 57 |
+
# --output_dir_base outputs_modify_extract_answer/eval_qwen_7b_inst_data_1217 \
|
| 58 |
+
# --split test \
|
| 59 |
+
# --max_search_limit 5 \
|
| 60 |
+
# --max_turn 10 \
|
| 61 |
+
# --top_k 5 \
|
| 62 |
+
# --max_doc_len 3000 \
|
| 63 |
+
# --subset_num 100 \
|
| 64 |
+
# --model_path "/opt/aps/workdir/output/checkpoint/qwen_7b_inst_data_1217" \
|
| 65 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 66 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 67 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 68 |
+
|
| 69 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 70 |
+
# --dataset_name hotpotqa \
|
| 71 |
+
# --cache_dir_base cache_modify_extract_answer/eval \
|
| 72 |
+
# --output_dir_base outputs_modify_extract_answer/eval_original_qwen_7b_inst \
|
| 73 |
+
# --split test \
|
| 74 |
+
# --max_search_limit 5 \
|
| 75 |
+
# --max_turn 10 \
|
| 76 |
+
# --top_k 5 \
|
| 77 |
+
# --max_doc_len 3000 \
|
| 78 |
+
# --subset_num 100 \
|
| 79 |
+
# --model_path "/opt/aps/workdir/home/.cache/modelscope/hub/models/qwen/Qwen2.5-7B-Instruct" \
|
| 80 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 81 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 82 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 83 |
+
|
| 84 |
+
# qwen32b
|
| 85 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 86 |
+
# --dataset_name hotpotqa \
|
| 87 |
+
# --cache_dir_base cache_eval/eval_hotpotqa_dev_500 \
|
| 88 |
+
# --output_dir_base output_eval/eval_hopotqa_dev_500_original_qwen_32b_inst \
|
| 89 |
+
# --split test \
|
| 90 |
+
# --max_search_limit 5 \
|
| 91 |
+
# --max_turn 10 \
|
| 92 |
+
# --top_k 5 \
|
| 93 |
+
# --max_doc_len 3000 \
|
| 94 |
+
# --subset_num 500 \
|
| 95 |
+
# --model_path "/capacity/userdata/models/Qwen2.5-32B-Instruct" \
|
| 96 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 97 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 98 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
datasets=('2wiki' 'hotpotqa' 'musique')
|
| 102 |
+
|
| 103 |
+
|
| 104 |
+
for dataset in "${datasets[@]}"; do
|
| 105 |
+
echo "Running evaluation for dataset: $dataset"
|
| 106 |
+
|
| 107 |
+
cache_dir_base="cache_eval/eval_${dataset}_dev_500_1"
|
| 108 |
+
output_dir_base="output_eval/eval_${dataset}_dev_500_qwen_32b_original_tokenizer_inst_data_1217_1"
|
| 109 |
+
|
| 110 |
+
mkdir -p "$cache_dir_base"
|
| 111 |
+
mkdir -p "$output_dir_base"
|
| 112 |
+
|
| 113 |
+
/opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 114 |
+
--dataset_name "$dataset" \
|
| 115 |
+
--cache_dir_base "$cache_dir_base" \
|
| 116 |
+
--output_dir_base "$output_dir_base" \
|
| 117 |
+
--split test \
|
| 118 |
+
--max_search_limit 5 \
|
| 119 |
+
--max_turn 10 \
|
| 120 |
+
--top_k 5 \
|
| 121 |
+
--max_doc_len 3000 \
|
| 122 |
+
--subset_num 100 \
|
| 123 |
+
--model_path "/opt/aps/workdir/output/sft_use_original_tokenizer/qwen_32b_original_tokenizer_inst_data_1217" \
|
| 124 |
+
--jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 125 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 126 |
+
--bing_endpoint "https://google.serper.dev/search"
|
| 127 |
+
done
|
| 128 |
+
|
| 129 |
+
|
| 130 |
+
/opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 131 |
+
--dataset_name hotpotqa \
|
| 132 |
+
--cache_dir_base cache_eval/eval_hotpotqa_dev_500_1 \
|
| 133 |
+
--output_dir_base output_eval/eval_hopotqa_dev_500_qwen_32b_original_tokenizer_inst_data_1217_1 \
|
| 134 |
+
--split test \
|
| 135 |
+
--max_search_limit 5 \
|
| 136 |
+
--max_turn 10 \
|
| 137 |
+
--top_k 5 \
|
| 138 |
+
--max_doc_len 3000 \
|
| 139 |
+
--subset_num 500 \
|
| 140 |
+
--model_path "/opt/aps/workdir/output/sft_use_original_tokenizer/qwen_32b_original_tokenizer_inst_data_1217" \
|
| 141 |
+
--jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 142 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 143 |
+
--bing_endpoint "https://google.serper.dev/search"
|
| 144 |
+
|
| 145 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 146 |
+
# --dataset_name hotpotqa \
|
| 147 |
+
# --cache_dir_base cache_eval/eval_hotpotqa_dev_500 \
|
| 148 |
+
# --output_dir_base output_eval/eval_hopotqa_dev_500_original_r1_32b \
|
| 149 |
+
# --split test \
|
| 150 |
+
# --max_search_limit 5 \
|
| 151 |
+
# --max_turn 10 \
|
| 152 |
+
# --top_k 5 \
|
| 153 |
+
# --max_doc_len 3000 \
|
| 154 |
+
# --subset_num 500 \
|
| 155 |
+
# --model_path "/capacity/userdata/models/DeepSeek-R1-Distill-Qwen-32" \
|
| 156 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 157 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 158 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 159 |
+
|
| 160 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 161 |
+
# --dataset_name hotpotqa \
|
| 162 |
+
# --cache_dir_base cache_eval/eval_hotpotqa_dev_500 \
|
| 163 |
+
# --output_dir_base output_eval/eval_hopotqa_dev_500_original_qwen_7b_inst \
|
| 164 |
+
# --split test \
|
| 165 |
+
# --max_search_limit 5 \
|
| 166 |
+
# --max_turn 10 \
|
| 167 |
+
# --top_k 5 \
|
| 168 |
+
# --max_doc_len 3000 \
|
| 169 |
+
# --subset_num 500 \
|
| 170 |
+
# --model_path "/opt/aps/workdir/home/.cache/modelscope/hub/models/qwen/Qwen2.5-7B-Instruct" \
|
| 171 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 172 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 173 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 174 |
+
|
| 175 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 176 |
+
# --dataset_name hotpotqa \
|
| 177 |
+
# --cache_dir_base cache_modify_extract_answer/eval \
|
| 178 |
+
# --output_dir_base outputs_modify_extract_answer/eval_original_qwq \
|
| 179 |
+
# --split test \
|
| 180 |
+
# --max_search_limit 5 \
|
| 181 |
+
# --max_turn 10 \
|
| 182 |
+
# --top_k 5 \
|
| 183 |
+
# --max_doc_len 3000 \
|
| 184 |
+
# --subset_num 100 \
|
| 185 |
+
# --model_path "/capacity/userdata/models/QwQ-32B-Preview" \
|
| 186 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 187 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 188 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 189 |
+
|
| 190 |
+
|
| 191 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 192 |
+
# --dataset_name hotpotqa \
|
| 193 |
+
# --cache_dir_base cache/eval \
|
| 194 |
+
# --output_dir_base outputs/eval_llama3_8b \
|
| 195 |
+
# --split test \
|
| 196 |
+
# --max_search_limit 5 \
|
| 197 |
+
# --max_turn 10 \
|
| 198 |
+
# --top_k 5 \
|
| 199 |
+
# --max_doc_len 3000 \
|
| 200 |
+
# --subset_num 100 \
|
| 201 |
+
# --model_path "/opt/aps/workdir/output/checkpoint/llama3_8b_data_1217" \
|
| 202 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 203 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 204 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 205 |
+
|
| 206 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_eval.py \
|
| 207 |
+
# --dataset_name hotpotqa \
|
| 208 |
+
# --cache_dir_base cache/eval \
|
| 209 |
+
# --output_dir_base outputs/eval_original_llama3_8b \
|
| 210 |
+
# --split test \
|
| 211 |
+
# --max_search_limit 5 \
|
| 212 |
+
# --max_turn 10 \
|
| 213 |
+
# --top_k 5 \
|
| 214 |
+
# --max_doc_len 3000 \
|
| 215 |
+
# --subset_num 100 \
|
| 216 |
+
# --model_path "/capacity/userdata/models/QwQ-32B-Preview" \
|
| 217 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 218 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 219 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 220 |
+
|
deep_search/search_o1/run_eval_benchmark_2wiki.sh
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 2 |
+
/share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 3 |
+
--dataset_name eval \
|
| 4 |
+
--cache_dir_base cache_eval_sum_all_webpage_wiki \
|
| 5 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/228/eval_wiki \
|
| 6 |
+
--split test \
|
| 7 |
+
--max_search_limit 10 \
|
| 8 |
+
--max_turn 10 \
|
| 9 |
+
--top_k 10 \
|
| 10 |
+
--max_doc_len 5000 \
|
| 11 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/checkpoint-228" \
|
| 12 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 13 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:12665#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_merged_new_instruction_1161_1301_sft_remove_exp_2462/228/eval_wiki/inf.log 2>&1
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
/share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 17 |
+
--dataset_name eval \
|
| 18 |
+
--cache_dir_base cache_eval_sum_all_webpage_wiki \
|
| 19 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:9578#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/73/eval_wiki \
|
| 20 |
+
--split test \
|
| 21 |
+
--max_search_limit 10 \
|
| 22 |
+
--max_turn 10 \
|
| 23 |
+
--top_k 10 \
|
| 24 |
+
--max_doc_len 5000 \
|
| 25 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:9578#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/checkpoint-73" \
|
| 26 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 27 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:9578#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/73/eval_wiki/inf.log 2>&1
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
# /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:15076#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/91/eval_wiki
|
| 32 |
+
|
| 33 |
+
/share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 34 |
+
--dataset_name eval \
|
| 35 |
+
--cache_dir_base cache_eval_sum_all_webpage_wiki \
|
| 36 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:15076#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/91/eval_wiki \
|
| 37 |
+
--split test \
|
| 38 |
+
--max_search_limit 10 \
|
| 39 |
+
--max_turn 10 \
|
| 40 |
+
--top_k 10 \
|
| 41 |
+
--max_doc_len 5000 \
|
| 42 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:15076#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/checkpoint-91" \
|
| 43 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 44 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:15076#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_instruction_2k_sft_remove_exp/91/eval_wiki/inf.log 2>&1
|
| 45 |
+
|
deep_search/search_o1/run_eval_benchmark_frames.sh
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 3 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 4 |
+
--dataset_name frames \
|
| 5 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 6 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/outputs_sum_all_webpage_qwq_new_prompt_frames \
|
| 7 |
+
--split test \
|
| 8 |
+
--max_search_limit 10 \
|
| 9 |
+
--max_turn 10 \
|
| 10 |
+
--top_k 10 \
|
| 11 |
+
--max_doc_len 5000 \
|
| 12 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 13 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 14 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/outputs_sum_all_webpage_qwq_new_prompt_frames/inf.log 2>&1 &
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 18 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 19 |
+
--dataset_name frames \
|
| 20 |
+
--cache_dir_base cache_eval_sum_all_webpage_frames \
|
| 21 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/frames \
|
| 22 |
+
--split test \
|
| 23 |
+
--max_search_limit 10 \
|
| 24 |
+
--max_turn 10 \
|
| 25 |
+
--top_k 10 \
|
| 26 |
+
--max_doc_len 5000 \
|
| 27 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91" \
|
| 28 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 29 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/frames/inf.log 2>&1 &
|
| 30 |
+
|
| 31 |
+
|
deep_search/search_o1/run_eval_benchmark_gaia.sh
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
export CUDA_VISIBLE_DEVICES=0,1,2,3
|
| 3 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 4 |
+
--dataset_name gaia \
|
| 5 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 6 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/gaia_1w \
|
| 7 |
+
--split test \
|
| 8 |
+
--max_search_limit 10 \
|
| 9 |
+
--max_turn 10 \
|
| 10 |
+
--top_k 10 \
|
| 11 |
+
--max_doc_len 5000 \
|
| 12 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91" \
|
| 13 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 14 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/gaia_1w/inf.log 2>&1 &
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 18 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 19 |
+
--dataset_name frames \
|
| 20 |
+
--cache_dir_base cache_eval_sum_all_webpage_frames \
|
| 21 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/frames \
|
| 22 |
+
--split test \
|
| 23 |
+
--max_search_limit 10 \
|
| 24 |
+
--max_turn 10 \
|
| 25 |
+
--top_k 10 \
|
| 26 |
+
--max_doc_len 5000 \
|
| 27 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91" \
|
| 28 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 29 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/frames/inf.log 2>&1 &
|
| 30 |
+
|
| 31 |
+
|
deep_search/search_o1/run_eval_benchmark_train.sh
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export CUDA_VISIBLE_DEVICES=0,1,6,7
|
| 2 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 3 |
+
--dataset_name merged_data_1174_test \
|
| 4 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 5 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/merged_data_1174_test \
|
| 6 |
+
--split test \
|
| 7 |
+
--max_search_limit 10 \
|
| 8 |
+
--max_turn 10 \
|
| 9 |
+
--top_k 10 \
|
| 10 |
+
--max_doc_len 5000 \
|
| 11 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91" \
|
| 12 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 13 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/91/merged_data_1174_test/inf.log 2>&1 &
|
| 14 |
+
|
| 15 |
+
|
deep_search/search_o1/run_eval_sft.sh
ADDED
|
@@ -0,0 +1,246 @@
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 2 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 3 |
+
--dataset_name eval \
|
| 4 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 5 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq/gaia \
|
| 6 |
+
--split test \
|
| 7 |
+
--max_search_limit 10 \
|
| 8 |
+
--max_turn 10 \
|
| 9 |
+
--top_k 10 \
|
| 10 |
+
--max_doc_len 5000 \
|
| 11 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 12 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 13 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq/gaia/inf.log 2>&1 &
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 17 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 18 |
+
--dataset_name eval \
|
| 19 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 20 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/41/eval \
|
| 21 |
+
--split test \
|
| 22 |
+
--max_search_limit 10 \
|
| 23 |
+
--max_turn 10 \
|
| 24 |
+
--top_k 10 \
|
| 25 |
+
--max_doc_len 5000 \
|
| 26 |
+
--model_path "/share/project/sunshuang/deep_search/q1/JOB:2569#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_800/checkpoint-41" \
|
| 27 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 28 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/41/eval/inf.log 2>&1 &
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 32 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 33 |
+
--dataset_name frames \
|
| 34 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 35 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/41/frames \
|
| 36 |
+
--split test \
|
| 37 |
+
--max_search_limit 10 \
|
| 38 |
+
--max_turn 10 \
|
| 39 |
+
--top_k 10 \
|
| 40 |
+
--max_doc_len 5000 \
|
| 41 |
+
--model_path "/share/project/sunshuang/deep_search/q1/JOB:2569#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_800/checkpoint-41" \
|
| 42 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 43 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/41/frames/inf.log 2>&1 &
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 47 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 48 |
+
--dataset_name gaia \
|
| 49 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 50 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/41/gaia \
|
| 51 |
+
--split test \
|
| 52 |
+
--max_search_limit 10 \
|
| 53 |
+
--max_turn 10 \
|
| 54 |
+
--top_k 10 \
|
| 55 |
+
--max_doc_len 5000 \
|
| 56 |
+
--model_path "/share/project/sunshuang/deep_search/q1/JOB:2569#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_800/checkpoint-41" \
|
| 57 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 58 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/41/gaia/inf.log 2>&1 &
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 63 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 64 |
+
--dataset_name eval \
|
| 65 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 66 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/78/eval \
|
| 67 |
+
--split test \
|
| 68 |
+
--max_search_limit 10 \
|
| 69 |
+
--max_turn 10 \
|
| 70 |
+
--top_k 10 \
|
| 71 |
+
--max_doc_len 5000 \
|
| 72 |
+
--model_path "/share/project/sunshuang/deep_search/q1/JOB:2569#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_800/checkpoint-78" \
|
| 73 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 74 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/78/eval/inf.log 2>&1 &
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 78 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 79 |
+
--dataset_name frames \
|
| 80 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 81 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/78/frames \
|
| 82 |
+
--split test \
|
| 83 |
+
--max_search_limit 10 \
|
| 84 |
+
--max_turn 10 \
|
| 85 |
+
--top_k 10 \
|
| 86 |
+
--max_doc_len 5000 \
|
| 87 |
+
--model_path "/share/project/sunshuang/deep_search/q1/JOB:2569#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_800/checkpoint-78" \
|
| 88 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 89 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/78/frames/inf.log 2>&1 &
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 93 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 94 |
+
--dataset_name gaia \
|
| 95 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 96 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/78/gaia \
|
| 97 |
+
--split test \
|
| 98 |
+
--max_search_limit 10 \
|
| 99 |
+
--max_turn 10 \
|
| 100 |
+
--top_k 10 \
|
| 101 |
+
--max_doc_len 5000 \
|
| 102 |
+
--model_path "/share/project/sunshuang/deep_search/q1/JOB:2569#LR:1e-5#BASE:Qwen2.5-7B-Instruct#TOKEN:Qwen2.5-7B-Instruct#BSZ:2#ACC:4_new_800/checkpoint-78" \
|
| 103 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 104 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen7b_inst_sft_871/78/gaia/inf.log 2>&1 &
|
| 105 |
+
|
| 106 |
+
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
|
| 110 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 111 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 112 |
+
--dataset_name eval \
|
| 113 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 114 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen_32b/eval \
|
| 115 |
+
--split test \
|
| 116 |
+
--max_search_limit 10 \
|
| 117 |
+
--max_turn 10 \
|
| 118 |
+
--top_k 10 \
|
| 119 |
+
--max_doc_len 5000 \
|
| 120 |
+
--model_path "/share/project/zhipengchen/model/Qwen2.5-32B-Instruct" \
|
| 121 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 122 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen_32b/eval/inf.log 2>&1 &
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 126 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 127 |
+
--dataset_name frames \
|
| 128 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 129 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen_32b/frames \
|
| 130 |
+
--split test \
|
| 131 |
+
--max_search_limit 10 \
|
| 132 |
+
--max_turn 10 \
|
| 133 |
+
--top_k 10 \
|
| 134 |
+
--max_doc_len 5000 \
|
| 135 |
+
--model_path "/share/project/zhipengchen/model/Qwen2.5-32B-Instruct" \
|
| 136 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 137 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen_32b/frames/inf.log 2>&1 &
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 141 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 142 |
+
--dataset_name gaia \
|
| 143 |
+
--cache_dir_base cache_eval_sum_all_webpage_1w \
|
| 144 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen_32b/gaia \
|
| 145 |
+
--split test \
|
| 146 |
+
--max_search_limit 10 \
|
| 147 |
+
--max_turn 10 \
|
| 148 |
+
--top_k 10 \
|
| 149 |
+
--max_doc_len 5000 \
|
| 150 |
+
--model_path "/share/project/zhipengchen/model/Qwen2.5-32B-Instruct" \
|
| 151 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 152 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwen_32b/gaia/inf.log 2>&1 &
|
| 153 |
+
|
| 154 |
+
######
|
| 155 |
+
# r1 32b
|
| 156 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 157 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 158 |
+
--dataset_name eval \
|
| 159 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 160 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/dpsk_qwen_32b/eval \
|
| 161 |
+
--split test \
|
| 162 |
+
--max_search_limit 10 \
|
| 163 |
+
--max_turn 10 \
|
| 164 |
+
--top_k 10 \
|
| 165 |
+
--max_doc_len 5000 \
|
| 166 |
+
--model_path "/share/project/zhipengchen/model/DeepSeek-R1-Distill-Qwen-32B" \
|
| 167 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 168 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/dpsk_qwen_32b/eval/inf.log 2>&1 &
|
| 169 |
+
|
| 170 |
+
|
| 171 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 172 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 173 |
+
--dataset_name frames \
|
| 174 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 175 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/dpsk_qwen_32b/frames \
|
| 176 |
+
--split test \
|
| 177 |
+
--max_search_limit 10 \
|
| 178 |
+
--max_turn 10 \
|
| 179 |
+
--top_k 10 \
|
| 180 |
+
--max_doc_len 5000 \
|
| 181 |
+
--model_path "/share/project/zhipengchen/model/DeepSeek-R1-Distill-Qwen-32B" \
|
| 182 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 183 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/dpsk_qwen_32b/frames/inf.log 2>&1 &
|
| 184 |
+
|
| 185 |
+
|
| 186 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 187 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 188 |
+
--dataset_name gaia \
|
| 189 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 190 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/dpsk_qwen_32b/gaia \
|
| 191 |
+
--split test \
|
| 192 |
+
--max_search_limit 10 \
|
| 193 |
+
--max_turn 10 \
|
| 194 |
+
--top_k 10 \
|
| 195 |
+
--max_doc_len 5000 \
|
| 196 |
+
--model_path "/share/project/zhipengchen/model/DeepSeek-R1-Distill-Qwen-32B" \
|
| 197 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 198 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/dpsk_qwen_32b/gaia/inf.log 2>&1 &
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
################
|
| 202 |
+
# /share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91
|
| 203 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 204 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 205 |
+
--dataset_name eval \
|
| 206 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 207 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq_1.1k_91/eval \
|
| 208 |
+
--split test \
|
| 209 |
+
--max_search_limit 10 \
|
| 210 |
+
--max_turn 10 \
|
| 211 |
+
--top_k 10 \
|
| 212 |
+
--max_doc_len 5000 \
|
| 213 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91" \
|
| 214 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 215 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq_1.1k_91/eval/inf.log 2>&1 &
|
| 216 |
+
|
| 217 |
+
|
| 218 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 219 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 220 |
+
--dataset_name frames \
|
| 221 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 222 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq_1.1k_91/frames \
|
| 223 |
+
--split test \
|
| 224 |
+
--max_search_limit 10 \
|
| 225 |
+
--max_turn 10 \
|
| 226 |
+
--top_k 10 \
|
| 227 |
+
--max_doc_len 5000 \
|
| 228 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91" \
|
| 229 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 230 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq_1.1k_91/frames/inf.log 2>&1 &
|
| 231 |
+
|
| 232 |
+
|
| 233 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 234 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 235 |
+
--dataset_name gaia \
|
| 236 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 237 |
+
--output_dir_base /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq_1.1k_91/gaia \
|
| 238 |
+
--split test \
|
| 239 |
+
--max_search_limit 10 \
|
| 240 |
+
--max_turn 10 \
|
| 241 |
+
--top_k 10 \
|
| 242 |
+
--max_doc_len 5000 \
|
| 243 |
+
--model_path "/share/project/sunshuang/deep_search/output/JOB:11783#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4_selected_data_1174_sft/checkpoint-91" \
|
| 244 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 245 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/sunshuang/deep_search/search_o1/output/output_eval_sft/qwq_1.1k_91/gaia/inf.log 2>&1 &
|
| 246 |
+
|
deep_search/search_o1/run_eval_sft_3.log
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
nohup: ignoring input
|
deep_search/search_o1/run_gen_data (1).sh
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export http_proxy=http://127.0.0.1:7880
|
| 2 |
+
export https_proxy=http://127.0.0.1:7880
|
| 3 |
+
|
| 4 |
+
export CUDA_VISIBLE_DEVICES=0,1,2,3
|
| 5 |
+
|
| 6 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_5.py \
|
| 7 |
+
# --dataset_name hotpotqa \
|
| 8 |
+
# --cache_dir_base cache_gen_data_hotpot_qa \
|
| 9 |
+
# --output_dir_base outputs_gen_data_hotpot_qa \
|
| 10 |
+
# --split test \
|
| 11 |
+
# --max_search_limit 5 \
|
| 12 |
+
# --max_turn 10 \
|
| 13 |
+
# --top_k 5 \
|
| 14 |
+
# --max_doc_len 3000 \
|
| 15 |
+
# --batch_size 5000 \
|
| 16 |
+
# --model_path "/capacity/userdata/models/DeepSeek-R1-Distill-Qwen-32" \
|
| 17 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 18 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 19 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python -u scripts/run_search_o1_5.py \
|
| 23 |
+
# --dataset_name musique \
|
| 24 |
+
# --cache_dir_base /opt/aps/workdir/sunshuang/search_o1/cache_reason_two_model/eval_reason_two_model \
|
| 25 |
+
# --output_dir_base outputs_gen_data_musique_qa_by_r1_32b \
|
| 26 |
+
# --split train \
|
| 27 |
+
# --max_search_limit 5 \
|
| 28 |
+
# --max_turn 10 \
|
| 29 |
+
# --top_k 5 \
|
| 30 |
+
# --max_doc_len 3000 \
|
| 31 |
+
# --batch_size 2000 \
|
| 32 |
+
# --batch_nums 2 \
|
| 33 |
+
# --model_path "/capacity/userdata/models/DeepSeek-R1-Distill-Qwen-32" \
|
| 34 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 35 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 36 |
+
# --bing_endpoint "https://google.serper.dev/search" > logs/gen_data_musique_qa_by_r1_32b.log 2>&1
|
| 37 |
+
|
| 38 |
+
/opt/aps/workdir/miniforge3/envs/search_o1/bin/python -u scripts/run_search_o1_5_with_start_id.py \
|
| 39 |
+
--dataset_name musique \
|
| 40 |
+
--cache_dir_base /opt/aps/workdir/sunshuang/search_o1/cache_reason_two_model/eval_reason_two_model \
|
| 41 |
+
--output_dir_base outputs_gen_data_musique_qa_by_r1_32b_batch2_3 \
|
| 42 |
+
--split train \
|
| 43 |
+
--max_search_limit 5 \
|
| 44 |
+
--max_turn 10 \
|
| 45 |
+
--top_k 5 \
|
| 46 |
+
--max_doc_len 3000 \
|
| 47 |
+
--batch_size 2000 \
|
| 48 |
+
--start_batch_id 3 \
|
| 49 |
+
--batch_nums 1 \
|
| 50 |
+
--model_path "/capacity/userdata/models/DeepSeek-R1-Distill-Qwen-32" \
|
| 51 |
+
--jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 52 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 53 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/gen_data_musiqueqa_by_r1_32b_batch2_3.log 2>&1
|
deep_search/search_o1/run_gen_data_2.sh
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export http_proxy=http://127.0.0.1:7880
|
| 2 |
+
export https_proxy=http://127.0.0.1:7880
|
| 3 |
+
|
| 4 |
+
export CUDA_VISIBLE_DEVICES=4,5,6,7
|
| 5 |
+
|
| 6 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_5.py \
|
| 7 |
+
# --dataset_name hotpotqa \
|
| 8 |
+
# --cache_dir_base cache_eval_hotpotqa \
|
| 9 |
+
# --output_dir_base outputs_eval_hotpotqa \
|
| 10 |
+
# --split test \
|
| 11 |
+
# --max_search_limit 5 \
|
| 12 |
+
# --max_turn 10 \
|
| 13 |
+
# --top_k 5 \
|
| 14 |
+
# --max_doc_len 3000 \
|
| 15 |
+
# --batch_size 5000 \
|
| 16 |
+
# --subset_num 500 \
|
| 17 |
+
# --model_path "/opt/aps/workdir/output/checkpoint/debug_1" \
|
| 18 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 19 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 20 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 21 |
+
|
| 22 |
+
# /opt/aps/workdir/miniforge3/envs/search_o1/bin/python scripts/run_search_o1_5.py \
|
| 23 |
+
# --dataset_name hotpotqa \
|
| 24 |
+
# --cache_dir_base cache_eval_hotpotqa_1 \
|
| 25 |
+
# --output_dir_base outputs_eval_hotpotqa_1 \
|
| 26 |
+
# --split test \
|
| 27 |
+
# --max_search_limit 5 \
|
| 28 |
+
# --max_turn 10 \
|
| 29 |
+
# --top_k 5 \
|
| 30 |
+
# --max_doc_len 3000 \
|
| 31 |
+
# --batch_size 2000 \
|
| 32 |
+
# --subset_num 100 \
|
| 33 |
+
# --model_path "/capacity/userdata/models/Qwen2.5-7B" \
|
| 34 |
+
# --jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 35 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 36 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
/opt/aps/workdir/miniforge3/envs/search_o1/bin/python -u scripts/run_search_o1_5_with_start_id.py \
|
| 40 |
+
--dataset_name musique \
|
| 41 |
+
--cache_dir_base /opt/aps/workdir/sunshuang/search_o1/cache_reason_two_model/eval_reason_two_model \
|
| 42 |
+
--output_dir_base outputs_gen_data_musique_qa_by_r1_32b_batch4_5 \
|
| 43 |
+
--split train \
|
| 44 |
+
--max_search_limit 5 \
|
| 45 |
+
--max_turn 10 \
|
| 46 |
+
--top_k 5 \
|
| 47 |
+
--max_doc_len 3000 \
|
| 48 |
+
--batch_size 2000 \
|
| 49 |
+
--start_batch_id 4 \
|
| 50 |
+
--batch_nums 2 \
|
| 51 |
+
--model_path "/capacity/userdata/models/DeepSeek-R1-Distill-Qwen-32" \
|
| 52 |
+
--jina_api_key "jina_04d684ee4cc54d2ebe7c43bb7ad4aff0qlkdZGwm14NFBtm5BDkgK9KNf6vQ" \
|
| 53 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 54 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/gen_data_musiqueqa_by_r1_32b_batch4_5.log 2>&1
|
deep_search/search_o1/run_gen_data_acc_ratios0.sh
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# worker 1
|
| 2 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 3 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 4 |
+
--dataset_name acc_ratios_0_total_1608_rollout_split1 \
|
| 5 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 6 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split1 \
|
| 7 |
+
--split gen \
|
| 8 |
+
--max_search_limit 10 \
|
| 9 |
+
--max_turn 10 \
|
| 10 |
+
--top_k 10 \
|
| 11 |
+
--rollout_num 10 \
|
| 12 |
+
--max_doc_len 5000 \
|
| 13 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 14 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 15 |
+
--bing_endpoint "https://google.serper.dev/search" > output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split1/inf.log 2>&1 &
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 19 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 20 |
+
--dataset_name acc_ratios_0_total_1608_rollout_split2 \
|
| 21 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 22 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split2 \
|
| 23 |
+
--split gen \
|
| 24 |
+
--max_search_limit 10 \
|
| 25 |
+
--max_turn 10 \
|
| 26 |
+
--top_k 10 \
|
| 27 |
+
--rollout_num 10 \
|
| 28 |
+
--max_doc_len 5000 \
|
| 29 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 30 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 31 |
+
--bing_endpoint "https://google.serper.dev/search" > output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split2/inf.log 2>&1 &
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 35 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 36 |
+
--dataset_name acc_ratios_0_total_1608_rollout_split3 \
|
| 37 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 38 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split3 \
|
| 39 |
+
--split gen \
|
| 40 |
+
--max_search_limit 10 \
|
| 41 |
+
--max_turn 10 \
|
| 42 |
+
--top_k 10 \
|
| 43 |
+
--rollout_num 10 \
|
| 44 |
+
--max_doc_len 5000 \
|
| 45 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 46 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 47 |
+
--bing_endpoint "https://google.serper.dev/search" > output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split3/inf.log 2>&1 &
|
| 48 |
+
|
| 49 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 50 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 51 |
+
--dataset_name acc_ratios_0_total_1608_rollout_split4 \
|
| 52 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 53 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split4 \
|
| 54 |
+
--split gen \
|
| 55 |
+
--max_search_limit 10 \
|
| 56 |
+
--max_turn 10 \
|
| 57 |
+
--top_k 10 \
|
| 58 |
+
--rollout_num 10 \
|
| 59 |
+
--max_doc_len 5000 \
|
| 60 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 61 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 62 |
+
--bing_endpoint "https://google.serper.dev/search" > output/output_sum_all_webpage_gen_data/acc_ratios_0_total_1608_rollout_split4/inf.log 2>&1 &
|
deep_search/search_o1/run_gen_data_for_chinese_simple_qa.sh
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export http_proxy=http://127.0.0.1:7880
|
| 2 |
+
export https_proxy=http://127.0.0.1:7880
|
| 3 |
+
|
| 4 |
+
export CUDA_VISIBLE_DEVICES=4,5,6,7
|
| 5 |
+
|
| 6 |
+
/share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 7 |
+
--dataset_name chinese_simpleqa \
|
| 8 |
+
--cache_dir_base cache \
|
| 9 |
+
--output_dir_base output/outputs_sum_all_webpage_chinese_simpleqa500_qwq \
|
| 10 |
+
--split test \
|
| 11 |
+
--max_search_limit 10 \
|
| 12 |
+
--max_turn 10 \
|
| 13 |
+
--top_k 10 \
|
| 14 |
+
--max_doc_len 5000 \
|
| 15 |
+
--subset_num 500 \
|
| 16 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 17 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 18 |
+
--bing_endpoint "https://google.serper.dev/search"
|
| 19 |
+
|
| 20 |
+
# /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 21 |
+
# --dataset_name chinese_simpleqa \
|
| 22 |
+
# --cache_dir_base cache_simpleqa_exurls_qwq \
|
| 23 |
+
# --output_dir_base output/outputs_sum_all_webpage_simpleqa500_ex_urls_qwq \
|
| 24 |
+
# --split test \
|
| 25 |
+
# --max_search_limit 10 \
|
| 26 |
+
# --max_turn 10 \
|
| 27 |
+
# --top_k 10 \
|
| 28 |
+
# --max_doc_len 5000 \
|
| 29 |
+
# --subset_num 500 \
|
| 30 |
+
# --is_exclude_urls \
|
| 31 |
+
# --model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 32 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 33 |
+
# --bing_endpoint "https://google.serper.dev/search"
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
/share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 39 |
+
--dataset_name chinese_simpleqa \
|
| 40 |
+
--cache_dir_base cache \
|
| 41 |
+
--output_dir_base output/outputs_sum_all_webpage_chinese_simpleqa500_ckpt176 \
|
| 42 |
+
--split test \
|
| 43 |
+
--max_search_limit 10 \
|
| 44 |
+
--max_turn 10 \
|
| 45 |
+
--top_k 10 \
|
| 46 |
+
--max_doc_len 5000 \
|
| 47 |
+
--subset_num 500 \
|
| 48 |
+
--model_path "/share/project/sunshuang/deep_research/search_o1/model/checkpoint-176" \
|
| 49 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 50 |
+
--bing_endpoint "https://google.serper.dev/search"
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
/share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 54 |
+
--dataset_name simpleqa \
|
| 55 |
+
--cache_dir_base cache_simpleqa_exurls_ckpt176 \
|
| 56 |
+
--output_dir_base output/outputs_sum_all_webpage_simpleqa500_ex_urls_ckpt176 \
|
| 57 |
+
--split test \
|
| 58 |
+
--max_search_limit 10 \
|
| 59 |
+
--max_turn 10 \
|
| 60 |
+
--top_k 10 \
|
| 61 |
+
--max_doc_len 5000 \
|
| 62 |
+
--subset_num 500 \
|
| 63 |
+
--is_exclude_urls \
|
| 64 |
+
--model_path "/share/project/sunshuang/deep_research/search_o1/model/checkpoint-176" \
|
| 65 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 66 |
+
--bing_endpoint "https://google.serper.dev/search"
|
| 67 |
+
|
| 68 |
+
/share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage.py \
|
| 69 |
+
--dataset_name hotpotqa \
|
| 70 |
+
--cache_dir_base cache \
|
| 71 |
+
--output_dir_base output/outputs_sum_all_webpage_hotpotqa500_ckpt176 \
|
| 72 |
+
--split test \
|
| 73 |
+
--max_search_limit 10 \
|
| 74 |
+
--max_turn 10 \
|
| 75 |
+
--top_k 10 \
|
| 76 |
+
--max_doc_len 5000 \
|
| 77 |
+
--subset_num 500 \
|
| 78 |
+
--model_path "/share/project/sunshuang/deep_research/search_o1/model/checkpoint-176" \
|
| 79 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 80 |
+
--bing_endpoint "https://google.serper.dev/search"
|
deep_search/search_o1/run_gen_data_selected_2k.sh
ADDED
|
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# worker 1
|
| 2 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 3 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 4 |
+
--dataset_name selected_2k_part_1 \
|
| 5 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 6 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_1 \
|
| 7 |
+
--split gen \
|
| 8 |
+
--max_search_limit 10 \
|
| 9 |
+
--max_turn 10 \
|
| 10 |
+
--top_k 10 \
|
| 11 |
+
--rollout_num 3 \
|
| 12 |
+
--max_doc_len 5000 \
|
| 13 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 14 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 15 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_1_1.log 2>&1 &
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 19 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 20 |
+
--dataset_name selected_2k_part_2 \
|
| 21 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 22 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_2 \
|
| 23 |
+
--split gen \
|
| 24 |
+
--max_search_limit 10 \
|
| 25 |
+
--max_turn 10 \
|
| 26 |
+
--top_k 10 \
|
| 27 |
+
--rollout_num 1 \
|
| 28 |
+
--max_doc_len 5000 \
|
| 29 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 30 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 31 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_2_1.log 2>&1 &
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 35 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 36 |
+
--dataset_name selected_2k_part_3 \
|
| 37 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 38 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_3 \
|
| 39 |
+
--split gen \
|
| 40 |
+
--max_search_limit 10 \
|
| 41 |
+
--max_turn 10 \
|
| 42 |
+
--top_k 10 \
|
| 43 |
+
--rollout_num 3 \
|
| 44 |
+
--max_doc_len 5000 \
|
| 45 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 46 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 47 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_3_1.log 2>&1 &
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 51 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 52 |
+
--dataset_name selected_2k_part_4 \
|
| 53 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 54 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_4 \
|
| 55 |
+
--split gen \
|
| 56 |
+
--max_search_limit 10 \
|
| 57 |
+
--max_turn 10 \
|
| 58 |
+
--top_k 10 \
|
| 59 |
+
--rollout_num 3 \
|
| 60 |
+
--max_doc_len 5000 \
|
| 61 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 62 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 63 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_4_1.log 2>&1 &
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 67 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 68 |
+
--dataset_name selected_2k_part_5 \
|
| 69 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 70 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_5 \
|
| 71 |
+
--split gen \
|
| 72 |
+
--max_search_limit 10 \
|
| 73 |
+
--max_turn 10 \
|
| 74 |
+
--top_k 10 \
|
| 75 |
+
--rollout_num 3 \
|
| 76 |
+
--max_doc_len 5000 \
|
| 77 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 78 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 79 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_5_1.log 2>&1 &
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
|
| 83 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 84 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 85 |
+
--dataset_name selected_2k_part_6 \
|
| 86 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 87 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_6 \
|
| 88 |
+
--split gen \
|
| 89 |
+
--max_search_limit 10 \
|
| 90 |
+
--max_turn 10 \
|
| 91 |
+
--top_k 10 \
|
| 92 |
+
--rollout_num 3 \
|
| 93 |
+
--max_doc_len 5000 \
|
| 94 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 95 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 96 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_6_1.log 2>&1 &
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 101 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 102 |
+
--dataset_name selected_2k_part_7 \
|
| 103 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 104 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_7 \
|
| 105 |
+
--split gen \
|
| 106 |
+
--max_search_limit 10 \
|
| 107 |
+
--max_turn 10 \
|
| 108 |
+
--top_k 10 \
|
| 109 |
+
--rollout_num 2 \
|
| 110 |
+
--max_doc_len 5000 \
|
| 111 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 112 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 113 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_7_1.log 2>&1 &
|
| 114 |
+
|
| 115 |
+
|
| 116 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 117 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 118 |
+
--dataset_name selected_2k_part_8 \
|
| 119 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 120 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_8 \
|
| 121 |
+
--split gen \
|
| 122 |
+
--max_search_limit 10 \
|
| 123 |
+
--max_turn 10 \
|
| 124 |
+
--top_k 10 \
|
| 125 |
+
--rollout_num 2 \
|
| 126 |
+
--max_doc_len 5000 \
|
| 127 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 128 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 129 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_8_1.log 2>&1 &
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
export CUDA_VISIBLE_DEVICES=6,7
|
| 134 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 135 |
+
--dataset_name selected_2k_part_9 \
|
| 136 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 137 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_9 \
|
| 138 |
+
--split gen \
|
| 139 |
+
--max_search_limit 10 \
|
| 140 |
+
--max_turn 10 \
|
| 141 |
+
--top_k 10 \
|
| 142 |
+
--rollout_num 7 \
|
| 143 |
+
--max_doc_len 5000 \
|
| 144 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 145 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 146 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_9_1.log 2>&1 &
|
| 147 |
+
|
| 148 |
+
|
| 149 |
+
|
| 150 |
+
|
| 151 |
+
|
| 152 |
+
|
| 153 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 154 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 155 |
+
--dataset_name selected_2k_part_10 \
|
| 156 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 157 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_10 \
|
| 158 |
+
--split gen \
|
| 159 |
+
--max_search_limit 10 \
|
| 160 |
+
--max_turn 10 \
|
| 161 |
+
--top_k 10 \
|
| 162 |
+
--rollout_num 3 \
|
| 163 |
+
--max_doc_len 5000 \
|
| 164 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 165 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 166 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_10_1.log 2>&1 &
|
| 167 |
+
|
| 168 |
+
|
| 169 |
+
|
| 170 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 171 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 172 |
+
--dataset_name selected_2k_part_11 \
|
| 173 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 174 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_11 \
|
| 175 |
+
--split gen \
|
| 176 |
+
--max_search_limit 10 \
|
| 177 |
+
--max_turn 10 \
|
| 178 |
+
--top_k 10 \
|
| 179 |
+
--rollout_num 2 \
|
| 180 |
+
--max_doc_len 5000 \
|
| 181 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 182 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 183 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_11_1.log 2>&1 &
|
| 184 |
+
|
| 185 |
+
|
| 186 |
+
export CUDA_VISIBLE_DEVICES=4,5
|
| 187 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 188 |
+
--dataset_name selected_2k_part_12 \
|
| 189 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 190 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_12 \
|
| 191 |
+
--split gen \
|
| 192 |
+
--max_search_limit 10 \
|
| 193 |
+
--max_turn 10 \
|
| 194 |
+
--top_k 10 \
|
| 195 |
+
--rollout_num 2 \
|
| 196 |
+
--max_doc_len 5000 \
|
| 197 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 198 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 199 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_12_1.log 2>&1 &
|
| 200 |
+
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
export CUDA_VISIBLE_DEVICES=2,3
|
| 204 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 205 |
+
--dataset_name selected_2k_part_13 \
|
| 206 |
+
--cache_dir_base cache_eval_sum_all_webpage \
|
| 207 |
+
--output_dir_base output/output_sum_all_webpage_gen_data/outputs_selected_2k_part_13 \
|
| 208 |
+
--split gen \
|
| 209 |
+
--max_search_limit 10 \
|
| 210 |
+
--max_turn 10 \
|
| 211 |
+
--top_k 10 \
|
| 212 |
+
--rollout_num 2 \
|
| 213 |
+
--max_doc_len 5000 \
|
| 214 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 215 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 216 |
+
--bing_endpoint "https://google.serper.dev/search" > logs/log_sum_all_webpage_gen_data/selected_2k_part_13_1.log 2>&1 &
|
deep_search/search_o1/run_syn_rollout_filter.sh
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# worker 1
|
| 2 |
+
# export CUDA_VISIBLE_DEVICES=0,1
|
| 3 |
+
# python /share/project/sunshuang/deep_search/search_o1/scripts/search_o1_sum_all_webpage_rollout.py\
|
| 4 |
+
# --dataset_name bf_merged_data_tagged_domain_keypoints_keywords_count_add_source_answer \
|
| 5 |
+
# --cache_dir_base cache_eval_sum_all_webpage \
|
| 6 |
+
# --output_dir_base /share/project/baifei/filter-syn-ai-search/rollout/0321/result_154/search/roll-32b-inst-search-154items \
|
| 7 |
+
# --split gen \
|
| 8 |
+
# --max_search_limit 10 \
|
| 9 |
+
# --max_turn 10 \
|
| 10 |
+
# --top_k 10 \
|
| 11 |
+
# --rollout_num 5 \
|
| 12 |
+
# --max_doc_len 5000 \
|
| 13 |
+
# --model_path "/share/project/zhipengchen/model/Qwen2.5-32B-Instruct" \
|
| 14 |
+
# --bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 15 |
+
# --bing_endpoint "https://google.serper.dev/search" > /share/project/baifei/filter-syn-ai-search/rollout/0321/result_154/search/search-154.log 2>&1 &
|
| 16 |
+
|
| 17 |
+
export CUDA_VISIBLE_DEVICES=0,1
|
| 18 |
+
nohup /share/project/miniconda/envs/search_o1/bin/python -u scripts/search_o1_sum_all_webpage_rollout.py \
|
| 19 |
+
--dataset_name syn_data_test_wyh \
|
| 20 |
+
--cache_dir_base cache_eval_sum_all_webpage_wyhtest \
|
| 21 |
+
--output_dir_base /share/project/wuyuhuan/still-Syn/data/rollout_out/ \
|
| 22 |
+
--split gen \
|
| 23 |
+
--max_search_limit 10 \
|
| 24 |
+
--max_turn 10 \
|
| 25 |
+
--top_k 10 \
|
| 26 |
+
--rollout_num 1 \
|
| 27 |
+
--max_doc_len 5000 \
|
| 28 |
+
--model_path "/share/project/zhipengchen/model/QwQ-32B" \
|
| 29 |
+
--bing_subscription_key "cb0d28279a826d7e5cf22d71f683c77ffd4ba27d" \
|
| 30 |
+
--bing_endpoint "https://google.serper.dev/search" > /share/project/wuyuhuan/still-Syn/logs/rollout_output_test.log 2>&1 &
|
| 31 |
+
|
| 32 |
+
echo 1
|
deep_search/search_o1/search_ex.json
ADDED
|
@@ -0,0 +1,138 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"searchParameters": {
|
| 3 |
+
"q": "when does season 14 of grey's anatomy come out",
|
| 4 |
+
"type": "search",
|
| 5 |
+
"num": 11,
|
| 6 |
+
"mkt": "en-US",
|
| 7 |
+
"setLang": "en",
|
| 8 |
+
"engine": "google"
|
| 9 |
+
},
|
| 10 |
+
"answerBox": {
|
| 11 |
+
"snippet": "Grey's Anatomy season 14\nGrey's Anatomy\n\nOriginal network\nABC\nOriginal release\nSeptember 28, 2017 – May 17, 2018\nSeason chronology\n\nList of episodes\n",
|
| 12 |
+
"title": "Grey's Anatomy season 14 - Wikipedia",
|
| 13 |
+
"link": "https://en.wikipedia.org/wiki/Grey%27s_Anatomy_season_14"
|
| 14 |
+
},
|
| 15 |
+
"organic": [
|
| 16 |
+
{
|
| 17 |
+
"title": "Season 14 (Grey's Anatomy)",
|
| 18 |
+
"link": "https://greysanatomy.fandom.com/wiki/Season_14_(Grey%27s_Anatomy)",
|
| 19 |
+
"snippet": "The fourteenth season of Grey's Anatomy premiered September 28, 2017, with a two-hour premiere. It was broadcast on Thursday nights at 8 PM on ABC.",
|
| 20 |
+
"position": 1
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"title": "Grey's Anatomy Season 14 Premiere Date Announced - ABC",
|
| 24 |
+
"link": "https://abc.com/news/9fce69b2-3b93-40f3-9cd3-d75b1d90bb05/category/738075",
|
| 25 |
+
"snippet": "Grey's Anatomy fans, get ready for the Season 14 two-hour premiere on Thursday, September 28 at 8|7c!",
|
| 26 |
+
"date": "Jul 31, 2017",
|
| 27 |
+
"position": 2
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"title": "Grey's Anatomy (TV Series 2005– ) - Episode list - IMDb",
|
| 31 |
+
"link": "https://www.imdb.com/title/tt0413573/episodes/?season=14",
|
| 32 |
+
"snippet": "S14.E1 ∙ Break Down the House. Thu, Sep 28, 2017.",
|
| 33 |
+
"position": 3
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"title": "Season 14 – Grey's Anatomy - Rotten Tomatoes",
|
| 37 |
+
"link": "https://www.rottentomatoes.com/tv/greys_anatomy/s14",
|
| 38 |
+
"snippet": "Watch Grey's Anatomy — Season 14 with a subscription on Disney+, Hulu, Netflix, or buy it on Fandango at Home. Grey's Anatomy — Season 14. What to Know.",
|
| 39 |
+
"position": 4
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"title": "1-800-799-7233 | Grey's Anatomy Universe Wiki | Fandom",
|
| 43 |
+
"link": "https://greysanatomy.fandom.com/wiki/1-800-799-7233",
|
| 44 |
+
"snippet": "1-800-799-7233 is the ninth episode and mid-season premiere of the fourteenth season and the 302nd overall episode of Grey's Anatomy.",
|
| 45 |
+
"date": "Jan 18, 2018",
|
| 46 |
+
"position": 5
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"title": "Grey's Anatomy Season 14 [DVD] [2018] - Amazon.com",
|
| 50 |
+
"link": "https://www.amazon.com/Greys-Anatomy-Season-14-DVD/dp/B07H2VPXY1",
|
| 51 |
+
"snippet": "Grey's Anatomy Season 14 [DVD] [2018] ; Language, English (Dolby Digital 5.1) ; Aspect Ratio, Unknown ; Release date, October 22, 2018 ; ASIN, B07H2VPXY1.",
|
| 52 |
+
"rating": 3.9,
|
| 53 |
+
"ratingCount": 1134,
|
| 54 |
+
"position": 6
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"title": "Grey's Anatomy Episodes",
|
| 58 |
+
"link": "https://greysanatomy.fandom.com/wiki/Grey%27s_Anatomy_Episodes",
|
| 59 |
+
"snippet": "We sat down with the cast of Electric State, coming March 14th on Netflix. This page lists all episodes of Grey's Anatomy.",
|
| 60 |
+
"position": 7
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"title": "Grey's Anatomy - Wikipedia",
|
| 64 |
+
"link": "https://en.wikipedia.org/wiki/Grey%27s_Anatomy",
|
| 65 |
+
"snippet": "The series premiered on March 27, 2005, on ABC as a mid-season replacement. The show's title is a reference to Gray's Anatomy, a classic human anatomy textbook.",
|
| 66 |
+
"sitelinks": [
|
| 67 |
+
{
|
| 68 |
+
"title": "Season 14",
|
| 69 |
+
"link": "https://en.wikipedia.org/wiki/Grey%27s_Anatomy_season_14"
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"title": "List of Grey's Anatomy episodes",
|
| 73 |
+
"link": "https://en.wikipedia.org/wiki/List_of_Grey%27s_Anatomy_episodes"
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"title": "Season 1",
|
| 77 |
+
"link": "https://en.wikipedia.org/wiki/Grey%27s_Anatomy_season_1"
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"title": "Season 15",
|
| 81 |
+
"link": "https://en.wikipedia.org/wiki/Grey%27s_Anatomy_season_15"
|
| 82 |
+
}
|
| 83 |
+
],
|
| 84 |
+
"position": 8
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"title": "Grey's Anatomy Season 14 Air Dates & Countdown - EpisoDate.com",
|
| 88 |
+
"link": "https://www.episodate.com/tv-show/grey-s-anatomy?season=14",
|
| 89 |
+
"snippet": "Grey's Anatomy Season 14 Air Dates ; Thursday Sep 28, 2017 · S14E01 - Break Down the House ; Thursday Sep 28, 2017 · S14E02 - Get Off on the Pain ; Thursday Oct 05, ...",
|
| 90 |
+
"rating": 9.5,
|
| 91 |
+
"ratingMax": 10,
|
| 92 |
+
"ratingCount": 109,
|
| 93 |
+
"position": 9
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"title": "'Grey's Anatomy' Is Obviously Returning For Season 14 - Bustle",
|
| 97 |
+
"link": "https://www.bustle.com/p/when-does-greys-anatomy-season-14-premiere-the-show-will-go-on-as-long-as-meredith-does-57795",
|
| 98 |
+
"snippet": "UPDATE: ABC announced that Grey's Anatomy Season 14 will have a two-hour season premiere on Sept. 28. EARLIER: Grey's Anatomy is set to air on ...",
|
| 99 |
+
"date": "May 18, 2017",
|
| 100 |
+
"position": 10
|
| 101 |
+
}
|
| 102 |
+
],
|
| 103 |
+
"peopleAlsoAsk": [
|
| 104 |
+
{
|
| 105 |
+
"question": "Is Grey's Anatomy season 19 out?",
|
| 106 |
+
"snippet": "It premiered on October 6, 2022, for the 2022–23 broadcast television season. Krista Vernoff returned for the season as executive producer and showrunner alongside her production company Trip the Light Productions.",
|
| 107 |
+
"title": "Grey's Anatomy season 19 - Wikipedia",
|
| 108 |
+
"link": "https://en.wikipedia.org/wiki/Grey%27s_Anatomy_season_19"
|
| 109 |
+
}
|
| 110 |
+
],
|
| 111 |
+
"relatedSearches": [
|
| 112 |
+
{
|
| 113 |
+
"query": "Grey's Anatomy season 14 cast Guest Stars"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"query": "Grey's Anatomy Season 15 summary"
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"query": "How many Episodes in Grey's Anatomy season 15"
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"query": "When did season 15 of Grey's Anatomy come out"
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"query": "Grey's Anatomy season 14 Episode 11 full cast"
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"query": "Who dies in season 15 of Grey's Anatomy"
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"query": "Grey's Anatomy season 14 Episode 16 cast astronaut"
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"query": "Grey's anatomy season 14 Episode 1 full cast"
|
| 135 |
+
}
|
| 136 |
+
],
|
| 137 |
+
"credits": 2
|
| 138 |
+
}
|
deep_search/search_o1/search_without_wiki.json
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"searchParameters": {
|
| 3 |
+
"q": "when does season 14 of grey's anatomy come out -site:en.wikipedia.org",
|
| 4 |
+
"type": "search",
|
| 5 |
+
"mkt": "en-US",
|
| 6 |
+
"setLang": "en",
|
| 7 |
+
"engine": "google"
|
| 8 |
+
},
|
| 9 |
+
"organic": [
|
| 10 |
+
{
|
| 11 |
+
"title": "Season 14 (Grey's Anatomy)",
|
| 12 |
+
"link": "https://greysanatomy.fandom.com/wiki/Season_14_(Grey%27s_Anatomy)",
|
| 13 |
+
"snippet": "The fourteenth season of Grey's Anatomy premiered September 28, 2017, with a two-hour premiere. It was broadcast on Thursday nights at 8 PM on ABC.",
|
| 14 |
+
"position": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"title": "Season 14 – Grey's Anatomy",
|
| 18 |
+
"link": "https://www.rottentomatoes.com/tv/greys_anatomy/s14",
|
| 19 |
+
"snippet": "Watch Grey's Anatomy — Season 14 with a subscription on Disney+, Hulu, Netflix, or buy it on Fandango at Home. Grey's Anatomy — Season 14. What to Know.",
|
| 20 |
+
"position": 2
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"title": "Grey's Anatomy (TV Series 2005– ) - Episode list - ...",
|
| 24 |
+
"link": "https://www.imdb.com/title/tt0413573/episodes/?season=14",
|
| 25 |
+
"snippet": "S14.E21 ∙ Bad Reputation. Thu, Apr 26, 2018. Crisis management is brought in to help Grey Sloan sort out allegations against Harper Avery; Alex and Jo are ...",
|
| 26 |
+
"position": 3
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"title": "Grey's Anatomy Season 14 Premiere Date Announced",
|
| 30 |
+
"link": "https://abc.com/news/9fce69b2-3b93-40f3-9cd3-d75b1d90bb05/category/738075",
|
| 31 |
+
"snippet": "Grey's Anatomy fans, get ready for the Season 14 two-hour premiere on Thursday, September 28 at 8|7c!",
|
| 32 |
+
"date": "Jul 31, 2017",
|
| 33 |
+
"position": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"title": "Grey's Anatomy Season 14 [DVD] [2018]",
|
| 37 |
+
"link": "https://www.amazon.com/Greys-Anatomy-Season-14-DVD/dp/B07H2VPXY1",
|
| 38 |
+
"snippet": "Grey's Anatomy Season 14 [DVD] [2018] ; Language, English (Dolby Digital 5.1) ; Aspect Ratio, Unknown ; Release date, October 22, 2018 ; ASIN, B07H2VPXY1.",
|
| 39 |
+
"rating": 3.9,
|
| 40 |
+
"ratingCount": 1134,
|
| 41 |
+
"currency": "$",
|
| 42 |
+
"price": 24.26,
|
| 43 |
+
"position": 5
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"title": "Buy & Watch Grey's Anatomy: Season 14 - Vudu - Fandango",
|
| 47 |
+
"link": "https://athome.fandango.com/content/browse/details/Greys-Anatomy-You-Really-Got-a-Hold-on-Me/891354?cmp=rt_leaderboard",
|
| 48 |
+
"snippet": "Watch Grey's Anatomy: Season 14 on Fandango at Home! Buy and binge watch the entire series on Fandango at Home today.",
|
| 49 |
+
"position": 6
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"title": "Timeline - Grey's Anatomy Universe Wiki - Fandom",
|
| 53 |
+
"link": "https://greysanatomy.fandom.com/wiki/Timeline",
|
| 54 |
+
"snippet": "Where Do We Go From Here takes place on November 14, 2014. The Bed's Too Big ... Season 14 starts on or around mid to late-2017, immediately after the ...",
|
| 55 |
+
"position": 7
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"title": "Grey's Anatomy Episodes",
|
| 59 |
+
"link": "https://greysanatomy.fandom.com/wiki/Grey%27s_Anatomy_Episodes",
|
| 60 |
+
"snippet": "Season 7 (2010-11) ; 13, \"Don't Deceive Me (Please Don't Go)\", February 3, 2011, 11.18 ; 14, \"P.Y.T. (Pretty Young Thing)\", February 10, 2011, 10.47.",
|
| 61 |
+
"position": 8
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"title": "'Grey's Anatomy' Is Obviously Returning For Season 14",
|
| 65 |
+
"link": "https://www.bustle.com/p/when-does-greys-anatomy-season-14-premiere-the-show-will-go-on-as-long-as-meredith-does-57795",
|
| 66 |
+
"snippet": "UPDATE: ABC announced that Grey's Anatomy Season 14 will have a two-hour season premiere on Sept. 28. EARLIER: Grey's Anatomy is set to air on ...",
|
| 67 |
+
"date": "May 18, 2017",
|
| 68 |
+
"position": 9
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"title": "Grey's Anatomy Season 14 Air Dates & Countdown",
|
| 72 |
+
"link": "https://www.episodate.com/tv-show/grey-s-anatomy?season=14",
|
| 73 |
+
"snippet": "Grey's Anatomy Season 14 Air Dates ; Thursday Sep 28, 2017 · S14E01 - Break Down the House ; Thursday Sep 28, 2017 · S14E02 - Get Off on the Pain ; Thursday Oct 05, ...",
|
| 74 |
+
"position": 10
|
| 75 |
+
}
|
| 76 |
+
],
|
| 77 |
+
"credits": 1
|
| 78 |
+
}
|
deep_search/search_o1/vllm_serve.sh
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
export CUDA_VISIBLE_DEVICES=1,2,3,4
|
| 2 |
+
nohup vllm serve /share/project/zhipengchen/model/Qwen2.5-72B-Instruct \
|
| 3 |
+
--tensor-parallel-size=4 \
|
| 4 |
+
--gpu-memory-utilization 0.95 \
|
| 5 |
+
--port 8003 > /share/project/sunshuang/deep_search/search_o1/logs/vlm_serve_qwen72b_1.log 2>&1 &
|
| 6 |
+
|
| 7 |
+
export CUDA_VISIBLE_DEVICES=3
|
| 8 |
+
vllm serve /opt/aps/workdir/home/.cache/modelscope/hub/models/qwen/Qwen2.5-7B-Instruct \
|
| 9 |
+
--tensor-parallel-size=1 \
|
| 10 |
+
--gpu-memory-utilization 0.95
|
deep_search/sft_logs/3-12-qa1200_qwq_qwen32b.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-13_r1_32b_1200.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-15_sft_qwq.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-16_difficult_rollout_data_sft_add_prompt.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-16_r1_32b_1478.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-18_2k_qwen32b_inst.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-18_2k_qwq_r1_32b.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-19-1.2k_remove_exp_qwq.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-20_1161_remove_exp_qwen7b_inst.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-20_merged_2462_remove_exp_qwq.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-22-merged_2462_nq_237_total_2699.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-25_strict_selected_1526.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/3-27.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/4-2.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/re.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/sft_re.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deep_search/sft_logs/test.log
ADDED
|
The diff for this file is too large to render.
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|
|
|
ssh_node.sh
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
ssh job-86a69723-0cea-434e-8ebd-135aba19ceb4-master-0
|
| 2 |
+
ssh job-86a69723-0cea-434e-8ebd-135aba19ceb4-worker-0
|
| 3 |
+
ssh job-86a69723-0cea-434e-8ebd-135aba19ceb4-worker-1
|
| 4 |
+
ssh job-86a69723-0cea-434e-8ebd-135aba19ceb4-worker-2
|
| 5 |
+
ssh job-86a69723-0cea-434e-8ebd-135aba19ceb4-worker-3
|
| 6 |
+
ssh job-86a69723-0cea-434e-8ebd-135aba19ceb4-worker-4
|