| accumulative_counts = 2 | |
| batch_size = 1 | |
| betas = ( | |
| 0.9, | |
| 0.95, | |
| ) | |
| custom_hooks = [ | |
| dict(type='xtuner.engine.hooks.VarlenAttnArgsToMessageHubHook'), | |
| ] | |
| data_num = 150221 | |
| data_path = '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/data/preference/single_source_prompt_sft/mixed/HH_puyu' | |
| dataloader_num_workers = 0 | |
| default_hooks = dict( | |
| checkpoint=dict( | |
| by_epoch=False, | |
| interval=1000, | |
| max_keep_ckpts=-1, | |
| type='mmengine.hooks.CheckpointHook'), | |
| logger=dict( | |
| interval=10, | |
| log_metric_by_epoch=False, | |
| type='mmengine.hooks.LoggerHook'), | |
| param_scheduler=dict(type='mmengine.hooks.ParamSchedulerHook'), | |
| sampler_seed=dict(type='mmengine.hooks.DistSamplerSeedHook'), | |
| timer=dict(type='mmengine.hooks.IterTimerHook')) | |
| env_cfg = dict( | |
| cudnn_benchmark=False, | |
| dist_cfg=dict(backend='nccl'), | |
| mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) | |
| launcher = 'pytorch' | |
| load_from = None | |
| log_level = 'INFO' | |
| log_processor = dict(by_epoch=False) | |
| loss_type = 'ranking' | |
| lr = 2e-05 | |
| max_epochs = 1 | |
| max_length = 16384 | |
| max_norm = 1 | |
| max_packed_length = 32768 | |
| max_response_length = 4096 | |
| model = dict( | |
| llm=dict( | |
| pretrained_model_name_or_path= | |
| '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/rm/RM_PT_internlm2_5_7b_DATA_510m_single_mix_Node_57_LR_1_45e_5_STEP_223684_hf', | |
| trust_remote_code=True, | |
| type='transformers.AutoModel.from_pretrained'), | |
| loss_type='ranking', | |
| penalty_type='none', | |
| type='xtuner.model.reward.RewardModel', | |
| use_varlen_attn=True) | |
| optim_type = 'torch.optim.AdamW' | |
| optim_wrapper = dict( | |
| optimizer=dict( | |
| betas=( | |
| 0.9, | |
| 0.95, | |
| ), | |
| lr=2e-05, | |
| type='torch.optim.AdamW', | |
| weight_decay=0), | |
| type='DeepSpeedOptimWrapper') | |
| param_scheduler = [ | |
| dict( | |
| begin=0, | |
| by_epoch=True, | |
| convert_to_iter_based=True, | |
| end=0.03, | |
| start_factor=2.0000000000000003e-06, | |
| type='mmengine.optim.LinearLR'), | |
| dict( | |
| begin=0.03, | |
| by_epoch=True, | |
| convert_to_iter_based=True, | |
| end=1, | |
| eta_min=2.0000000000000003e-06, | |
| type='mmengine.optim.CosineAnnealingLR'), | |
| ] | |
| penalty_type = 'none' | |
| pretrained_model_name_or_path = '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/rm/RM_PT_internlm2_5_7b_DATA_510m_single_mix_Node_57_LR_1_45e_5_STEP_223684_hf' | |
| randomness = dict(deterministic=False, seed=None) | |
| resume = False | |
| reward_token_id = 92527 | |
| runner_type = 'FlexibleRunner' | |
| sampler = 'mmengine.dataset.DefaultSampler' | |
| save_steps = 1000 | |
| save_total_limit = -1 | |
| sequence_parallel_size = 1 | |
| strategy = dict( | |
| config=dict( | |
| bf16=dict(enabled=True), | |
| fp16=dict(enabled=False, initial_scale_power=16), | |
| gradient_accumulation_steps='auto', | |
| gradient_clipping='auto', | |
| train_micro_batch_size_per_gpu='auto', | |
| zero_allow_untested_optimizer=True, | |
| zero_force_ds_cpu_optimizer=False, | |
| zero_optimization=dict(overlap_comm=True, stage=1)), | |
| exclude_frozen_parameters=True, | |
| gradient_accumulation_steps=2, | |
| gradient_clipping=1, | |
| sequence_parallel_size=1, | |
| train_micro_batch_size_per_gpu=1, | |
| type='xtuner.engine.DeepSpeedStrategy') | |
| tokenizer = dict( | |
| padding_side='left', | |
| pretrained_model_name_or_path= | |
| '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/rm/RM_PT_internlm2_5_7b_DATA_510m_single_mix_Node_57_LR_1_45e_5_STEP_223684_hf', | |
| trust_remote_code=True, | |
| type='transformers.AutoTokenizer.from_pretrained') | |
| train_cfg = dict(max_epochs=1, type='xtuner.engine.runner.TrainLoop') | |
| train_dataloader = dict( | |
| batch_size=1, | |
| collate_fn=dict( | |
| type= | |
| 'xtuner.dataset.collate_fns.preference_collate_fn.preference_collate_fn', | |
| use_varlen_attn=True), | |
| dataset=dict( | |
| dataset=dict( | |
| path= | |
| '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/data/preference/single_source_prompt_sft/mixed/HH_puyu', | |
| type='datasets.load_dataset'), | |
| dataset_map_fn=None, | |
| is_dpo=False, | |
| is_reward=True, | |
| max_length=16384, | |
| max_packed_length=32768, | |
| max_response_length=4096, | |
| num_proc=32, | |
| reward_token_id=92527, | |
| shuffle_before_pack=True, | |
| tokenizer=dict( | |
| padding_side='left', | |
| pretrained_model_name_or_path= | |
| '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/rm/RM_PT_internlm2_5_7b_DATA_510m_single_mix_Node_57_LR_1_45e_5_STEP_223684_hf', | |
| trust_remote_code=True, | |
| type='transformers.AutoTokenizer.from_pretrained'), | |
| type='xtuner.dataset.preference_dataset.build_preference_dataset', | |
| use_varlen_attn=True), | |
| num_workers=0, | |
| sampler=dict(shuffle=True, type='mmengine.dataset.DefaultSampler')) | |
| train_dataset = dict( | |
| dataset=dict( | |
| path= | |
| '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/data/preference/single_source_prompt_sft/mixed/HH_puyu', | |
| type='datasets.load_dataset'), | |
| dataset_map_fn=None, | |
| is_dpo=False, | |
| is_reward=True, | |
| max_length=16384, | |
| max_packed_length=32768, | |
| max_response_length=4096, | |
| num_proc=32, | |
| reward_token_id=92527, | |
| shuffle_before_pack=True, | |
| tokenizer=dict( | |
| padding_side='left', | |
| pretrained_model_name_or_path= | |
| '/cpfs01/shared/alillm_hs/zouyicheng/rm_pretrain/rm/RM_PT_internlm2_5_7b_DATA_510m_single_mix_Node_57_LR_1_45e_5_STEP_223684_hf', | |
| trust_remote_code=True, | |
| type='transformers.AutoTokenizer.from_pretrained'), | |
| type='xtuner.dataset.preference_dataset.build_preference_dataset', | |
| use_varlen_attn=True) | |
| use_varlen_attn = True | |
| visualizer = dict( | |
| type='mmengine.visualization.Visualizer', | |
| vis_backends=[ | |
| dict(type='mmengine.visualization.TensorboardVisBackend'), | |
| ]) | |
| warmup_ratio = 0.03 | |
| weight_decay = 0 | |
| work_dir = './work_dirs/RM_SFT_reward_pt_7b_223684_DATA_HH_puyu_mixed_Node_2_LR_2e-5' | |