diff --git "a/deep_search/sft_logs/test.log" "b/deep_search/sft_logs/test.log" new file mode 100644--- /dev/null +++ "b/deep_search/sft_logs/test.log" @@ -0,0 +1,2154 @@ +/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4 +[2025-03-13 00:11:21,619] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. +[2025-03-13 00:11:25,684] [WARNING] [runner.py:212:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only. +Detected VISIBLE_DEVICES=0,1,2,3,4,5,6,7: setting --include=localhost:0,1,2,3,4,5,6,7 +[2025-03-13 00:11:25,685] [INFO] [runner.py:585:main] cmd = /share/project/miniconda/envs/ss_train/bin/python3.11 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMCwgMSwgMiwgMywgNCwgNSwgNiwgN119 --master_addr=127.0.0.1 --master_port=9944 --enable_each_rank_log=None sft_1.py --deepspeed ds_zero3_offload.json --model_name_or_path /share/project/zhipengchen/model/QwQ-32B --tokenizer_name_or_path /share/project/zhipengchen/model/QwQ-32B --do_train --save_safetensors true --data_path /share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json --lr_scheduler_type cosine --output_dir /share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4 --overwrite_output_dir --warmup_ratio 0.03 --gradient_checkpointing true --per_device_train_batch_size 2 --gradient_accumulation_steps 4 --logging_steps 1 --learning_rate 1e-5 --num_train_epochs 6 --save_strategy epoch --save_only_model true --model_max_length 25000 --save_total_limit 15 --bf16 +[2025-03-13 00:11:32,010] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. +[2025-03-13 00:11:37,264] [INFO] [launch.py:139:main] 0 VLLM_NCCL_SO_PATH=/usr/lib/x86_64-linux-gnu/libnccl.so +[2025-03-13 00:11:37,264] [INFO] [launch.py:139:main] 0 NCCL_VERSION=2.20.5 +[2025-03-13 00:11:37,264] [INFO] [launch.py:139:main] 0 NCCL_WORK_FIFO_DEPTH=4194304 +[2025-03-13 00:11:37,265] [INFO] [launch.py:146:main] WORLD INFO DICT: {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]} +[2025-03-13 00:11:37,265] [INFO] [launch.py:152:main] nnodes=1, num_local_procs=8, node_rank=0 +[2025-03-13 00:11:37,265] [INFO] [launch.py:163:main] global_rank_mapping=defaultdict(, {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]}) +[2025-03-13 00:11:37,265] [INFO] [launch.py:164:main] dist_world_size=8 +[2025-03-13 00:11:37,265] [INFO] [launch.py:168:main] Setting CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 +[2025-03-13 00:11:37,267] [INFO] [launch.py:256:main] process 4006576 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=0', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:11:37,268] [INFO] [launch.py:256:main] process 4006577 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=1', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:11:37,268] [INFO] [launch.py:256:main] process 4006578 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=2', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:11:37,270] [INFO] [launch.py:256:main] process 4006579 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=3', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:11:37,271] [INFO] [launch.py:256:main] process 4006580 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=4', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:11:37,271] [INFO] [launch.py:256:main] process 4006581 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=5', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:11:37,272] [INFO] [launch.py:256:main] process 4006582 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=6', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:11:37,272] [INFO] [launch.py:256:main] process 4006583 spawned with command: ['/share/project/miniconda/envs/ss_train/bin/python3.11', '-u', 'sft_1.py', '--local_rank=7', '--deepspeed', 'ds_zero3_offload.json', '--model_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--tokenizer_name_or_path', '/share/project/zhipengchen/model/QwQ-32B', '--do_train', '--save_safetensors', 'true', '--data_path', '/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', '--lr_scheduler_type', 'cosine', '--output_dir', '/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4', '--overwrite_output_dir', '--warmup_ratio', '0.03', '--gradient_checkpointing', 'true', '--per_device_train_batch_size', '2', '--gradient_accumulation_steps', '4', '--logging_steps', '1', '--learning_rate', '1e-5', '--num_train_epochs', '6', '--save_strategy', 'epoch', '--save_only_model', 'true', '--model_max_length', '25000', '--save_total_limit', '15', '--bf16'] +[2025-03-13 00:12:00,919] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) +[2025-03-13 00:12:01,015] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) +[2025-03-13 00:12:01,016] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) +[2025-03-13 00:12:01,017] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) +[2025-03-13 00:12:01,031] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) +[2025-03-13 00:12:01,040] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) +[2025-03-13 00:12:01,041] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) +[2025-03-13 00:12:01,042] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect) + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. + [WARNING]  async_io requires the dev libaio .so object and headers but these were not found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  async_io: please install the libaio-dev package with apt [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. + + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. + [WARNING]  async_io: please install the libaio-dev package with apt + [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found. +[2025-03-13 00:12:03,478] [INFO] [comm.py:637:init_distributed] cdb=None +[2025-03-13 00:12:03,479] [INFO] [comm.py:637:init_distributed] cdb=None +[2025-03-13 00:12:03,479] [INFO] [comm.py:637:init_distributed] cdb=None +[2025-03-13 00:12:03,479] [INFO] [comm.py:637:init_distributed] cdb=None +[2025-03-13 00:12:03,479] [INFO] [comm.py:637:init_distributed] cdb=None +[2025-03-13 00:12:03,479] [INFO] [comm.py:637:init_distributed] cdb=None +[2025-03-13 00:12:03,479] [INFO] [comm.py:637:init_distributed] cdb=None +[2025-03-13 00:12:03,479] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl +[2025-03-13 00:12:03,479] [INFO] [comm.py:637:init_distributed] cdb=None +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=4, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=0, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=6, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=2, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=1, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=7, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=3, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +==========Model Args========= +ModelArguments(model_name_or_path='/share/project/zhipengchen/model/QwQ-32B', tokenizer_name_or_path='/share/project/zhipengchen/model/QwQ-32B') +==========Data Args========= +DataArguments(data_path='/share/project/sunshuang/deep_search/search_o1/sft_data/merged_hopotqa_batch0_1_np_310_total_2013_filtered_add_doc_gen_format_gen_by_qwq_temp_0.3_all_eval_merged_correct_incorrect_1200.json', prompt_type='instruction', dailog_augmentation=False) +==========Training Args========= +TrainingArguments( +_n_gpu=1, +accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +batch_eval_metrics=False, +bf16=True, +bf16_full_eval=False, +cache_dir=None, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_persistent_workers=False, +dataloader_pin_memory=True, +dataloader_prefetch_factor=None, +ddp_backend=None, +ddp_broadcast_buffers=None, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=ds_zero3_offload.json, +disable_tqdm=False, +dispatch_batches=None, +do_eval=False, +do_predict=False, +do_train=True, +eval_accumulation_steps=None, +eval_delay=0, +eval_do_concat_batches=True, +eval_on_start=False, +eval_steps=None, +eval_strategy=IntervalStrategy.NO, +eval_use_gather_object=False, +evaluation_strategy=None, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=4, +gradient_checkpointing=True, +gradient_checkpointing_kwargs=None, +greater_is_better=None, +group_by_length=False, +half_precision_backend=auto, +hub_always_push=False, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=HubStrategy.EVERY_SAVE, +hub_token=, +ignore_data_skip=False, +include_for_metrics=[], +include_inputs_for_metrics=False, +include_num_input_tokens_seen=False, +include_tokens_per_second=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=1e-05, +length_column_name=length, +load_best_model_at_end=False, +local_rank=5, +log_level=passive, +log_level_replica=warning, +log_on_each_node=True, +logging_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4/runs/Mar13_00-11-56_job-9227b734-00fd-4a6c-beb5-78ba0ad2a8af-master-0, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=1.0, +logging_strategy=IntervalStrategy.STEPS, +lr_scheduler_kwargs={}, +lr_scheduler_type=SchedulerType.COSINE, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=None, +model_max_length=25000, +mp_parameters=, +neftune_noise_alpha=None, +no_cuda=False, +num_train_epochs=6.0, +optim=OptimizerNames.ADAMW_TORCH, +optim_args=None, +optim_target_modules=None, +output_dir=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=8, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +restore_callback_states_from_checkpoint=False, +resume_from_checkpoint=None, +run_name=/share/project/sunshuang/deep_search/output/JOB:431#LR:1e-5#BASE:QwQ-32B#TOKEN:QwQ-32B#BSZ:2#ACC:4, +save_on_each_node=False, +save_only_model=True, +save_safetensors=True, +save_steps=500, +save_strategy=IntervalStrategy.EPOCH, +save_total_limit=15, +seed=42, +skip_memory_metrics=True, +split_batches=None, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torch_empty_cache_steps=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_cpu=False, +use_ipex=False, +use_legacy_prediction_loop=False, +use_liger_kernel=False, +use_mps_device=False, +warmup_ratio=0.03, +warmup_steps=0, +weight_decay=0.0, +) +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +You are attempting to use Flash Attention 2.0 without specifying a torch dtype. This might lead to unexpected behaviour +You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. +[2025-03-13 00:12:36,979] [INFO] [partition_parameters.py:345:__exit__] finished initializing model - num_params = 771, num_elems = 32.76B + Loading checkpoint shards: 0%| | 0/14 [00:00user +You are a reasoning assistant with the ability to perform web searches to help you answer the user's question accurately. You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 +labels: +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 +labels: +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 +inputs: +<|im_start|>user +You are a reasoning assistant with the ability to perform web searches to help you answer the user's question accurately. You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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807, 614, 279, 7772, 29500, 13, 35903, 702, 279, 2521, 258, 13140, 32893, 11, 892, 374, 264, 3598, 5590, 20499, 11, 714, 358, 3003, 6617, 429, 862, 4948, 4714, 2578, 7802, 862, 5670, 13, 5005, 1052, 594, 8359, 11, 892, 374, 264, 2409, 2781, 304, 4802, 438, 1632, 382, 14190, 11, 358, 1744, 279, 3639, 4180, 702, 1012, 7703, 1181, 5590, 5670, 448, 74005, 5590, 13, 1988, 1558, 429, 3076, 807, 614, 279, 7772, 29500, 30, 358, 2776, 537, 3654, 13, 6864, 1083, 702, 264, 2696, 315, 5590, 69063, 11, 714, 1549, 11, 358, 2776, 537, 2704, 421, 429, 594, 279, 7772, 382, 40, 1265, 4658, 653, 264, 2711, 311, 633, 13382, 1995, 13, 6771, 752, 2711, 369, 279, 5535, 821, 389, 5837, 448, 279, 1429, 58963, 29500, 382, 58, 27, 91, 7265, 10716, 5738, 91, 29, 46708, 448, 279, 1429, 58963, 29500, 220, 17, 15, 17, 18, 27, 91, 408, 10716, 5738, 91, 29, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 32313, 11, 773, 4092, 311, 279, 2711, 3059, 11, 35903, 702, 279, 7772, 16622, 5590, 29500, 304, 279, 1879, 11, 8110, 553, 17904, 23061, 13, 2938, 3643, 5530, 1576, 35903, 594, 2521, 258, 13140, 32893, 374, 3881, 369, 1181, 12767, 5590, 29500, 13, 4354, 11, 358, 1265, 2908, 429, 1393, 35903, 702, 279, 1429, 29500, 11, 862, 5670, 323, 12794, 614, 1012, 11495, 553, 4948, 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5590, 11, 714, 2058, 5089, 13, 10259, 323, 11093, 525, 1083, 3598, 28709, 13, 576, 2274, 11, 8818, 1550, 5670, 4152, 311, 74005, 11, 702, 2686, 304, 29500, 7707, 311, 1493, 5837, 382, 4416, 11, 10687, 432, 678, 3786, 11, 279, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 624, 151668, 271, 785, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 11, 8110, 553, 17904, 23061, 382, 59, 79075, 90, 53, 20556, 23737, 92, 151645] +labels: +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 +len of dataset after filter: 10 +fianl dataset: 10 +len of dataset after filter: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( +fianl dataset: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( +len of dataset after filter: 10 +fianl dataset: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( +len of dataset after filter: 10 +fianl dataset: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( + Map: 60%|██████ | 6/10 [00:00<00:00, 45.53 examples/s] Map: 100%|██████████| 10/10 [00:00<00:00, 44.13 examples/s] +input_ids: +[151644, 872, 198, 2610, 525, 264, 32711, 17847, 448, 279, 5726, 311, 2736, 3482, 26475, 311, 1492, 498, 4226, 279, 1196, 594, 3405, 29257, 13, 1446, 614, 3281, 7375, 1447, 12, 2014, 2736, 264, 2711, 25, 3270, 82639, 7265, 10716, 5738, 91, 29, 697, 3239, 1588, 82639, 408, 10716, 5738, 91, 29816, 12209, 11, 279, 1849, 686, 2711, 323, 23643, 9760, 3482, 6816, 11, 1221, 3410, 498, 448, 10950, 1995, 304, 279, 3561, 82639, 7265, 10716, 5287, 91, 29, 2503, 1836, 3059, 1112, 82639, 408, 10716, 5287, 91, 94367, 64261, 498, 12828, 264, 8544, 11, 2097, 11, 476, 6573, 315, 1995, 498, 525, 35118, 911, 476, 1184, 4623, 3565, 389, 11, 4486, 2736, 264, 2711, 311, 9567, 803, 13382, 11, 705, 4686, 18413, 11, 476, 3151, 1995, 13, 1446, 646, 13153, 279, 2711, 1882, 5248, 3039, 421, 5871, 13, 576, 7192, 1372, 315, 2711, 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11, 8110, 553, 17904, 23061, 382, 59, 79075, 90, 53, 20556, 23737, 92, 151645] +inputs: +<|im_start|>user +You are a reasoning assistant with the ability to perform web searches to help you answer the user's question accurately. You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 + Map: 50%|���████ | 5/10 [00:00<00:00, 46.94 examples/s]len of dataset after filter: 10 +fianl dataset: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( + Map: 100%|██████████| 10/10 [00:00<00:00, 44.64 examples/s] Map: 100%|██████████| 10/10 [00:00<00:00, 40.17 examples/s] +input_ids: +[151644, 872, 198, 2610, 525, 264, 32711, 17847, 448, 279, 5726, 311, 2736, 3482, 26475, 311, 1492, 498, 4226, 279, 1196, 594, 3405, 29257, 13, 1446, 614, 3281, 7375, 1447, 12, 2014, 2736, 264, 2711, 25, 3270, 82639, 7265, 10716, 5738, 91, 29, 697, 3239, 1588, 82639, 408, 10716, 5738, 91, 29816, 12209, 11, 279, 1849, 686, 2711, 323, 23643, 9760, 3482, 6816, 11, 1221, 3410, 498, 448, 10950, 1995, 304, 279, 3561, 82639, 7265, 10716, 5287, 91, 29, 2503, 1836, 3059, 1112, 82639, 408, 10716, 5287, 91, 94367, 64261, 498, 12828, 264, 8544, 11, 2097, 11, 476, 6573, 315, 1995, 498, 525, 35118, 911, 476, 1184, 4623, 3565, 389, 11, 4486, 2736, 264, 2711, 311, 9567, 803, 13382, 11, 705, 4686, 18413, 11, 476, 3151, 1995, 13, 1446, 646, 13153, 279, 2711, 1882, 5248, 3039, 421, 5871, 13, 576, 7192, 1372, 315, 2711, 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11, 8110, 553, 17904, 23061, 382, 59, 79075, 90, 53, 20556, 23737, 92, 151645] +inputs: +<|im_start|>user +You are a reasoning assistant with the ability to perform web searches to help you answer the user's question accurately. You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 + Map: 100%|██████████| 10/10 [00:00<00:00, 45.49 examples/s] +input_ids: +[151644, 872, 198, 2610, 525, 264, 32711, 17847, 448, 279, 5726, 311, 2736, 3482, 26475, 311, 1492, 498, 4226, 279, 1196, 594, 3405, 29257, 13, 1446, 614, 3281, 7375, 1447, 12, 2014, 2736, 264, 2711, 25, 3270, 82639, 7265, 10716, 5738, 91, 29, 697, 3239, 1588, 82639, 408, 10716, 5738, 91, 29816, 12209, 11, 279, 1849, 686, 2711, 323, 23643, 9760, 3482, 6816, 11, 1221, 3410, 498, 448, 10950, 1995, 304, 279, 3561, 82639, 7265, 10716, 5287, 91, 29, 2503, 1836, 3059, 1112, 82639, 408, 10716, 5287, 91, 94367, 64261, 498, 12828, 264, 8544, 11, 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11, 702, 2686, 304, 29500, 7707, 311, 1493, 5837, 382, 4416, 11, 10687, 432, 678, 3786, 11, 279, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 624, 151668, 271, 785, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 11, 8110, 553, 17904, 23061, 382, 59, 79075, 90, 53, 20556, 23737, 92, 151645] +len of dataset after filter: 10 +inputs: +<|im_start|>user +You are a reasoning assistant with the ability to perform web searches to help you answer the user's question accurately. You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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5590, 11, 714, 2058, 5089, 13, 10259, 323, 11093, 525, 1083, 3598, 28709, 13, 576, 2274, 11, 8818, 1550, 5670, 4152, 311, 74005, 11, 702, 2686, 304, 29500, 7707, 311, 1493, 5837, 382, 4416, 11, 10687, 432, 678, 3786, 11, 279, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 624, 151668, 271, 785, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 11, 8110, 553, 17904, 23061, 382, 59, 79075, 90, 53, 20556, 23737, 92, 151645] +fianl dataset: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( +labels: +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 +len of dataset after filter: 10 +fianl dataset: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( + Map: 100%|██████████| 10/10 [00:00<00:00, 45.30 examples/s] Map: 100%|██████████| 10/10 [00:00<00:00, 45.12 examples/s] +input_ids: +[151644, 872, 198, 2610, 525, 264, 32711, 17847, 448, 279, 5726, 311, 2736, 3482, 26475, 311, 1492, 498, 4226, 279, 1196, 594, 3405, 29257, 13, 1446, 614, 3281, 7375, 1447, 12, 2014, 2736, 264, 2711, 25, 3270, 82639, 7265, 10716, 5738, 91, 29, 697, 3239, 1588, 82639, 408, 10716, 5738, 91, 29816, 12209, 11, 279, 1849, 686, 2711, 323, 23643, 9760, 3482, 6816, 11, 1221, 3410, 498, 448, 10950, 1995, 304, 279, 3561, 82639, 7265, 10716, 5287, 91, 29, 2503, 1836, 3059, 1112, 82639, 408, 10716, 5287, 91, 94367, 64261, 498, 12828, 264, 8544, 11, 2097, 11, 476, 6573, 315, 1995, 498, 525, 35118, 911, 476, 1184, 4623, 3565, 389, 11, 4486, 2736, 264, 2711, 311, 9567, 803, 13382, 11, 705, 4686, 18413, 11, 476, 3151, 1995, 13, 1446, 646, 13153, 279, 2711, 1882, 5248, 3039, 421, 5871, 13, 576, 7192, 1372, 315, 2711, 13553, 374, 7199, 311, 220, 20, 382, 12522, 498, 614, 678, 279, 1995, 498, 1184, 11, 3060, 697, 32711, 382, 13314, 510, 14582, 25, 330, 15191, 2684, 279, 1156, 46978, 31193, 304, 27315, 47369, 71703, 7274, 7354, 510, 12, 358, 1184, 311, 1477, 700, 879, 572, 21328, 279, 1156, 46978, 31193, 304, 27315, 382, 71703, 510, 27, 91, 7265, 10716, 5738, 91, 29, 3896, 46978, 31193, 304, 27315, 13632, 27, 91, 408, 10716, 5738, 91, 1339, 10407, 4675, 15233, 1995, 504, 9760, 3482, 6816, 692, 71703, 9539, 32711, 448, 279, 501, 1995, 2146, 28590, 510, 12, 5443, 82639, 7265, 10716, 5738, 91, 29, 311, 1681, 264, 3482, 2711, 323, 835, 448, 82639, 408, 10716, 5738, 91, 29816, 12, 3197, 2814, 15039, 11, 3060, 697, 32711, 382, 5501, 4226, 279, 2701, 3405, 13, 1446, 1265, 1744, 3019, 553, 3019, 311, 11625, 432, 382, 60424, 697, 1590, 4226, 304, 279, 3561, 1124, 79075, 90, 72513, 67752, 39351, 92, 382, 14582, 510, 14623, 702, 279, 1429, 58963, 304, 279, 1879, 271, 151645, 198, 151644, 77091, 198, 151667, 198, 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11, 8110, 553, 17904, 23061, 382, 59, 79075, 90, 53, 20556, 23737, 92, 151645] +inputs: +<|im_start|>user +You are a reasoning assistant with the ability to perform web searches to help you answer the user's question accurately. You have special tools: + +- To perform a search: write <|begin_search_query|> your query here <|end_search_query|>. +Then, the system will search and analyze relevant web pages, then provide you with helpful information in the format <|begin_search_result|> ...search results... <|end_search_result|>. + +Whenever you encounter a topic, fact, or piece of information you are uncertain about or need further details on, please perform a search to gather more accurate, up-to-date, or specific information. You can repeat the search process multiple times if necessary. The maximum number of search attempts is limited to 5. + +Once you have all the information you need, continue your reasoning. + +Example: +Question: "Who got the first Nobel Prize in Physics?" +Assistant thinking steps: +- I need to find out who was awarded the first Nobel Prize in Physics. + +Assistant: +<|begin_search_query|>first Nobel Prize in Physics winner<|end_search_query|> + +(System returns processed information from relevant web pages) + +Assistant continues reasoning with the new information... + +Remember: +- Use <|begin_search_query|> to request a web search and end with <|end_search_query|>. +- When done searching, continue your reasoning. + +Please answer the following question. You should think step by step to solve it. + +Provide your final answer in the format \boxed{YOUR_ANSWER}. + +Question: +who has the most petroleum in the world + +<|im_end|> +<|im_start|>assistant + +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|> + +<|begin_search_result|>1. Venezuela has the largest oil reserves in the world, with over 303 billion barrels as of 2023.2. Saudi Arabia follows closely with approximately 297.5 billion barrels of oil reserves.3. Canada ranks third with 168.1 billion barrels of oil reserves.4. Iran and Iraq are also among the top countries, with 157.8 billion and 145.0 billion barrels respectively.5. The United States has 68.8 billion barrels of oil reserves, ranking ninth globally.<|end_search_result|> + +Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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5590, 11, 714, 2058, 5089, 13, 10259, 323, 11093, 525, 1083, 3598, 28709, 13, 576, 2274, 11, 8818, 1550, 5670, 4152, 311, 74005, 11, 702, 2686, 304, 29500, 7707, 311, 1493, 5837, 382, 4416, 11, 10687, 432, 678, 3786, 11, 279, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 624, 151668, 271, 785, 3146, 448, 279, 1429, 58963, 304, 3793, 315, 16622, 29500, 374, 35903, 11, 8110, 553, 17904, 23061, 382, 59, 79075, 90, 53, 20556, 23737, 92, 151645] +labels: +Okay, so I need to figure out which country has the most petroleum in the world. I'm not entirely sure, but I remember hearing that the Middle East has a lot of oil. Maybe Saudi Arabia or Venezuela? Let me think about this step by step. + +First, I should clarify what's being asked. The question is about who has the most petroleum. Petroleum can refer to both proven reserves and production. I think the user is asking about proven reserves, which are the amounts that have been identified and can be extracted with current technology. + +I recall that Saudi Arabia is often mentioned as the top oil producer, but I'm not sure if they have the largest reserves. Venezuela has the Orinoco Belt, which is a major oil reserve, but I've heard that their political issues might affect their production. Then there's Russia, which is a big player in energy as well. + +Wait, I think the United States has been increasing its oil production with shale oil. But does that mean they have the largest reserves? I'm not certain. Canada also has a lot of oil sands, but again, I'm not sure if that's the largest. + +I should probably do a search to get accurate information. Let me search for the latest data on countries with the most petroleum reserves. + +[<|begin_search_query|>countries with the most petroleum reserves 2023<|end_search_query|>Okay, so according to the search results, Venezuela has the largest proven oil reserves in the world, followed by Saudi Arabia. That makes sense because Venezuela's Orinoco Belt is known for its vast oil reserves. However, I should consider that while Venezuela has the most reserves, their production and exports have been affected by political and economic issues, so Saudi Arabia might be the top producer. + +But the question is about who has the most petroleum, not necessarily the top producer. So based on proven reserves, Venezuela leads. However, sometimes people might confuse proven reserves with production. Let me make sure I'm interpreting the question correctly. + +The user asked who has the most petroleum, so I think they're referring to reserves. Therefore, the answer should be Venezuela. But I should also mention that Saudi Arabia is the top producer, just to provide a complete picture. + +Wait, the search result says Venezuela has over 303 billion barrels, and Saudi Arabia has 297.5 billion. So Venezuela is just ahead. However, sometimes sources might vary slightly, but the key point is that Venezuela has the largest reserves. + +I should also note that Canada is third with oil sands, which are a bit different from conventional oil, but still significant. Iran and Iraq are also major holders. The US, despite high production due to shale, has less in reserves compared to these countries. + +So, putting it all together, the country with the most petroleum in terms of proven reserves is Venezuela. + + +The country with the most petroleum in terms of proven reserves is Venezuela, followed by Saudi Arabia. + +\boxed{Venezuela}<|im_end|> +len of dataset before filter: 10 +len of dataset after filter: 10 +fianl dataset: 10 +/share/project/sunshuang/deep_search/sft_1.py:242: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead. + trainer = Trainer( +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py311_cu121/cpu_adam/build.ninja... +Building extension module cpu_adam... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +ninja: no work to do. +Loading extension module cpu_adam... +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py311_cu121/cpu_adam/build.ninja... +Building extension module cpu_adam... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +Time to load cpu_adam op: 2.484337329864502 seconds +ninja: no work to do. +Loading extension module cpu_adam... +Time to load cpu_adam op: 2.4866929054260254 seconds +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py311_cu121/cpu_adam/build.ninja... +Building extension module cpu_adam... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +ninja: no work to do. +Loading extension module cpu_adam... +Time to load cpu_adam op: 2.670233964920044 seconds +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py311_cu121/cpu_adam/build.ninja... +Building extension module cpu_adam... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +ninja: no work to do. +Loading extension module cpu_adam... +Time to load cpu_adam op: 2.9142377376556396 seconds +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py311_cu121/cpu_adam/build.ninja... +Building extension module cpu_adam... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +ninja: no work to do. +Loading extension module cpu_adam... +Time to load cpu_adam op: 2.935417890548706 seconds +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py311_cu121/cpu_adam/build.ninja... +Building extension module cpu_adam... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +ninja: no work to do. +Loading extension module cpu_adam... +Time to load cpu_adam op: 2.9396932125091553 seconds +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Installed CUDA version 12.4 does not match the version torch was compiled with 12.1 but since the APIs are compatible, accepting this combination +Using /root/.cache/torch_extensions/py311_cu121 as PyTorch extensions root... +Emitting ninja build file /root/.cache/torch_extensions/py311_cu121/cpu_adam/build.ninja... +Building extension module cpu_adam... +Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +ninja: no work to do. +Loading extension module cpu_adam... +Time to load cpu_adam op: 3.0441579818725586 seconds +Loading extension module cpu_adam... +Time to load cpu_adam op: 3.133795738220215 seconds +Parameter Offload: Total persistent parameters: 1119232 in 321 params + 0%| | 0/6 [00:00 + train() + File "/share/project/sunshuang/deep_search/sft_1.py", line 249, in train + trainer.train(resume_from_checkpoint=training_args.resume_from_checkpoint) + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/transformers/trainer.py", line 2122, in train + return inner_training_loop( + ^^^^^^^^^^^^^^^^^^^^ + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/transformers/trainer.py", line 2566, in _inner_training_loop + self._maybe_log_save_evaluate(tr_loss, grad_norm, model, trial, epoch, ignore_keys_for_eval) + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/transformers/trainer.py", line 3000, in _maybe_log_save_evaluate + self._save_checkpoint(model, trial, metrics=metrics) + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/transformers/trainer.py", line 3090, in _save_checkpoint + self.save_model(output_dir, _internal_call=True) + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/transformers/trainer.py", line 3706, in save_model + self._save(output_dir, state_dict=state_dict) + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/transformers/trainer.py", line 3823, in _save + self.model.save_pretrained( + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/transformers/modeling_utils.py", line 3028, in save_pretrained + safe_save_file(shard, os.path.join(save_directory, shard_file), metadata={"format": "pt"}) + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/safetensors/torch.py", line 286, in save_file + serialize_file(_flatten(tensors), filename, metadata=metadata) + ^^^^^^^^^^^^^^^^^ + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/safetensors/torch.py", line 496, in _flatten + return { + ^ + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/safetensors/torch.py", line 500, in + "data": _tobytes(v, k), + ^^^^^^^^^^^^^^ + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/safetensors/torch.py", line 460, in _tobytes + return data.tobytes() + ^^^^^^^^^^^^^^ +KeyboardInterrupt +Traceback (most recent call last): + File "/share/project/miniconda/envs/ss_train/bin/deepspeed", line 6, in + main() + File "/share/project/miniconda/envs/ss_train/lib/python3.11/site-packages/deepspeed/launcher/runner.py", line 601, in main + result.wait() + File "/share/project/miniconda/envs/ss_train/lib/python3.11/subprocess.py", line 1264, in wait + return self._wait(timeout=timeout) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/share/project/miniconda/envs/ss_train/lib/python3.11/subprocess.py", line 2053, in _wait + (pid, sts) = self._try_wait(0) + ^^^^^^^^^^^^^^^^^ + File "/share/project/miniconda/envs/ss_train/lib/python3.11/subprocess.py", line 2011, in _try_wait + (pid, sts) = os.waitpid(self.pid, wait_flags) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +KeyboardInterrupt +[2025-03-13 00:21:38,328] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006576 +[2025-03-13 00:21:38,382] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006576 +[2025-03-13 00:21:38,407] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006576 +[2025-03-13 00:21:50,813] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006577 +[2025-03-13 00:22:01,751] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006578 +[2025-03-13 00:22:12,040] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006579 +[2025-03-13 00:22:21,266] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006580 +[2025-03-13 00:22:30,177] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006581 +[2025-03-13 00:22:39,010] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006582 +[2025-03-13 00:22:48,886] [INFO] [launch.py:319:sigkill_handler] Killing subprocess 4006583 +[2025-03-13 00:22:57,711] [INFO] [launch.py:328:sigkill_handler] Main process received SIGINT, exiting