| 2025-03-31 14:28:07 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='Qwen/Qwen2.5-1.5B-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=False, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False) |
| 2025-03-31 14:28:07 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='open-r1/OpenR1-Math-220k', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False) |
| 2025-03-31 14:28:07 - INFO - __main__ - Training parameters SFTConfig( |
| _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, |
| average_tokens_across_devices=False, |
| batch_eval_metrics=False, |
| benchmarks=[], |
| bf16=True, |
| bf16_full_eval=False, |
| callbacks=[], |
| chars_per_token=<CHARS_PER_TOKEN>, |
| chat_template=None, |
| data_seed=None, |
| dataloader_drop_last=False, |
| dataloader_num_workers=0, |
| dataloader_persistent_workers=False, |
| dataloader_pin_memory=True, |
| dataloader_prefetch_factor=None, |
| dataset_batch_size=None, |
| dataset_kwargs=None, |
| dataset_num_proc=8, |
| dataset_text_field=text, |
| ddp_backend=None, |
| ddp_broadcast_buffers=None, |
| ddp_bucket_cap_mb=None, |
| ddp_find_unused_parameters=None, |
| ddp_timeout=1800, |
| debug=[], |
| deepspeed=None, |
| disable_tqdm=False, |
| dispatch_batches=None, |
| do_eval=False, |
| do_predict=False, |
| do_train=False, |
| eval_accumulation_steps=None, |
| eval_delay=0, |
| eval_do_concat_batches=True, |
| eval_on_start=False, |
| eval_packing=None, |
| 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=1, |
| gradient_checkpointing=True, |
| gradient_checkpointing_kwargs={'use_reentrant': False}, |
| greater_is_better=None, |
| group_by_length=False, |
| half_precision_backend=auto, |
| hub_always_push=False, |
| hub_model_id=Qwen2.5-1.5B-Open-R1-Distill, |
| hub_model_revision=main, |
| hub_private_repo=None, |
| hub_strategy=HubStrategy.EVERY_SAVE, |
| hub_token=<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=5e-05, |
| length_column_name=length, |
| load_best_model_at_end=False, |
| local_rank=0, |
| log_level=info, |
| log_level_replica=warning, |
| log_on_each_node=True, |
| logging_dir=data/Qwen2.5-1.5B-Open-R1-Distill/runs/Mar31_14-28-06_w004.ib.bridges2.psc.edu, |
| logging_first_step=False, |
| logging_nan_inf_filter=True, |
| logging_steps=5, |
| logging_strategy=IntervalStrategy.STEPS, |
| lr_scheduler_kwargs={'min_lr_rate': 0.1}, |
| lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR, |
| max_grad_norm=1.0, |
| max_length=16384, |
| max_seq_length=None, |
| max_steps=-1, |
| metric_for_best_model=None, |
| model_init_kwargs=None, |
| mp_parameters=, |
| neftune_noise_alpha=None, |
| no_cuda=False, |
| num_of_sequences=None, |
| num_train_epochs=1, |
| optim=OptimizerNames.ADAMW_TORCH, |
| optim_args=None, |
| optim_target_modules=None, |
| output_dir=data/Qwen2.5-1.5B-Open-R1-Distill, |
| overwrite_hub_revision=False, |
| overwrite_output_dir=True, |
| packing=True, |
| past_index=-1, |
| per_device_eval_batch_size=16, |
| per_device_train_batch_size=16, |
| prediction_loss_only=False, |
| push_to_hub=True, |
| push_to_hub_model_id=None, |
| push_to_hub_organization=None, |
| push_to_hub_revision=False, |
| push_to_hub_token=<PUSH_TO_HUB_TOKEN>, |
| ray_scope=last, |
| remove_unused_columns=True, |
| report_to=['wandb'], |
| restore_callback_states_from_checkpoint=False, |
| resume_from_checkpoint=None, |
| run_name=data/Qwen2.5-1.5B-Open-R1-Distill, |
| save_on_each_node=False, |
| save_only_model=False, |
| save_safetensors=True, |
| save_steps=100, |
| save_strategy=SaveStrategy.STEPS, |
| save_total_limit=1, |
| seed=42, |
| skip_memory_metrics=True, |
| split_batches=None, |
| system_prompt=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=True, |
| use_liger_kernel=False, |
| use_mps_device=False, |
| wandb_entity=None, |
| wandb_project=None, |
| warmup_ratio=0.05, |
| warmup_steps=0, |
| weight_decay=0.0, |
| ) |
| 2025-03-31 14:28:09 - INFO - __main__ - *** Initializing model kwargs *** |
| 2025-03-31 14:28:57 - INFO - __main__ - *** Train *** |
| 2025-03-31 14:58:16 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='Qwen/Qwen2.5-1.5B-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=False, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, lora_task_type='CAUSAL_LM', use_rslora=False, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False) |
| 2025-03-31 14:58:16 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='open-r1/OpenR1-Math-220k', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False) |
| 2025-03-31 14:58:16 - INFO - __main__ - Training parameters SFTConfig( |
| _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, |
| average_tokens_across_devices=False, |
| batch_eval_metrics=False, |
| benchmarks=[], |
| bf16=True, |
| bf16_full_eval=False, |
| callbacks=[], |
| chars_per_token=<CHARS_PER_TOKEN>, |
| chat_template=None, |
| data_seed=None, |
| dataloader_drop_last=False, |
| dataloader_num_workers=0, |
| dataloader_persistent_workers=False, |
| dataloader_pin_memory=True, |
| dataloader_prefetch_factor=None, |
| dataset_batch_size=None, |
| dataset_kwargs=None, |
| dataset_num_proc=8, |
| dataset_text_field=text, |
| ddp_backend=None, |
| ddp_broadcast_buffers=None, |
| ddp_bucket_cap_mb=None, |
| ddp_find_unused_parameters=None, |
| ddp_timeout=1800, |
| debug=[], |
| deepspeed=None, |
| disable_tqdm=False, |
| dispatch_batches=None, |
| do_eval=False, |
| do_predict=False, |
| do_train=False, |
| eval_accumulation_steps=None, |
| eval_delay=0, |
| eval_do_concat_batches=True, |
| eval_on_start=False, |
| eval_packing=None, |
| 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=1, |
| gradient_checkpointing=True, |
| gradient_checkpointing_kwargs={'use_reentrant': False}, |
| greater_is_better=None, |
| group_by_length=False, |
| half_precision_backend=auto, |
| hub_always_push=False, |
| hub_model_id=Qwen2.5-1.5B-Open-R1-Distill, |
| hub_model_revision=main, |
| hub_private_repo=None, |
| hub_strategy=HubStrategy.EVERY_SAVE, |
| hub_token=<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=5e-05, |
| length_column_name=length, |
| load_best_model_at_end=False, |
| local_rank=0, |
| log_level=info, |
| log_level_replica=warning, |
| log_on_each_node=True, |
| logging_dir=data/Qwen2.5-1.5B-Open-R1-Distill/runs/Mar31_14-58-15_w004.ib.bridges2.psc.edu, |
| logging_first_step=False, |
| logging_nan_inf_filter=True, |
| logging_steps=5, |
| logging_strategy=IntervalStrategy.STEPS, |
| lr_scheduler_kwargs={'min_lr_rate': 0.1}, |
| lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR, |
| max_grad_norm=1.0, |
| max_length=16384, |
| max_seq_length=None, |
| max_steps=-1, |
| metric_for_best_model=None, |
| model_init_kwargs=None, |
| mp_parameters=, |
| neftune_noise_alpha=None, |
| no_cuda=False, |
| num_of_sequences=None, |
| num_train_epochs=1, |
| optim=OptimizerNames.ADAMW_TORCH, |
| optim_args=None, |
| optim_target_modules=None, |
| output_dir=data/Qwen2.5-1.5B-Open-R1-Distill, |
| overwrite_hub_revision=False, |
| overwrite_output_dir=True, |
| packing=True, |
| past_index=-1, |
| per_device_eval_batch_size=16, |
| per_device_train_batch_size=16, |
| prediction_loss_only=False, |
| push_to_hub=True, |
| push_to_hub_model_id=None, |
| push_to_hub_organization=None, |
| push_to_hub_revision=False, |
| push_to_hub_token=<PUSH_TO_HUB_TOKEN>, |
| ray_scope=last, |
| remove_unused_columns=True, |
| report_to=['wandb'], |
| restore_callback_states_from_checkpoint=False, |
| resume_from_checkpoint=None, |
| run_name=data/Qwen2.5-1.5B-Open-R1-Distill, |
| save_on_each_node=False, |
| save_only_model=False, |
| save_safetensors=True, |
| save_steps=100, |
| save_strategy=SaveStrategy.STEPS, |
| save_total_limit=1, |
| seed=42, |
| skip_memory_metrics=True, |
| split_batches=None, |
| system_prompt=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=True, |
| use_liger_kernel=False, |
| use_mps_device=False, |
| wandb_entity=None, |
| wandb_project=None, |
| warmup_ratio=0.05, |
| warmup_steps=0, |
| weight_decay=0.0, |
| ) |
| 2025-03-31 14:58:16 - INFO - __main__ - Checkpoint detected, resuming training at last_checkpoint='data/Qwen2.5-1.5B-Open-R1-Distill/checkpoint-100'. |
| 2025-03-31 14:58:17 - INFO - __main__ - *** Initializing model kwargs *** |
| 2025-03-31 14:58:19 - INFO - __main__ - *** Train *** |
| 2025-03-31 14:58:19 - INFO - __main__ - Qwen2ForCausalLM( |
| (model): Qwen2Model( |
| (embed_tokens): Embedding(151936, 1536) |
| (layers): ModuleList( |
| (0-27): 28 x Qwen2DecoderLayer( |
| (self_attn): Qwen2Attention( |
| (q_proj): Linear(in_features=1536, out_features=1536, bias=True) |
| (k_proj): Linear(in_features=1536, out_features=256, bias=True) |
| (v_proj): Linear(in_features=1536, out_features=256, bias=True) |
| (o_proj): Linear(in_features=1536, out_features=1536, bias=False) |
| ) |
| (mlp): LigerSwiGLUMLP( |
| (gate_proj): Linear(in_features=1536, out_features=8960, bias=False) |
| (up_proj): Linear(in_features=1536, out_features=8960, bias=False) |
| (down_proj): Linear(in_features=8960, out_features=1536, bias=False) |
| ) |
| (input_layernorm): LigerRMSNorm((0,), eps=1e-06, offset=0.0, in_place=True) |
| (post_attention_layernorm): LigerRMSNorm((0,), eps=1e-06, offset=0.0, in_place=True) |
| ) |
| ) |
| (norm): LigerRMSNorm((0,), eps=1e-06, offset=0.0, in_place=True) |
| (rotary_emb): Qwen2RotaryEmbedding() |
| ) |
| (lm_head): Linear(in_features=1536, out_features=151936, bias=False) |
| ) |
|
|
