Training in progress, step 100

expert_selection.log

@@ -1,194 +1,6 @@
-2025-04-24 23:33:57 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, 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)
-2025-04-24 23:33:57 - 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)
-2025-04-24 23:33:57 - INFO - __main__ - Training parameters EfficientDistillationConfig(
-_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=None,
-dataset_text_field=text,
-ddp_backend=None,
-ddp_broadcast_buffers=None,
-ddp_bucket_cap_mb=None,
-ddp_find_unused_parameters=None,
-ddp_timeout=180000000,
-debug=[],
-deepspeed=None,
-disable_dropout=True,
-disable_tqdm=False,
-dispatch_batches=None,
-do_eval=True,
-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=4,
-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=Deepseek-Coder-V2-Lite-13B-Instruct-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,
-lmbda=0.0,
-load_best_model_at_end=False,
-local_rank=0,
-log_level=info,
-log_level_replica=warning,
-log_on_each_node=True,
-logging_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill/runs/Apr24_23-33-57_q-h100,
-logging_first_step=False,
-logging_nan_inf_filter=True,
-logging_steps=1,
-logging_strategy=IntervalStrategy.STEPS,
-loss_type=forward_kl,
-lr_scheduler_kwargs={'min_lr_rate': 0.1},
-lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
-max_grad_norm=1.0,
-max_length=2048,
-max_new_tokens=128,
-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=3,
-optim=OptimizerNames.ADAMW_TORCH,
-optim_args=None,
-optim_target_modules=None,
-output_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill,
-overwrite_hub_revision=False,
-overwrite_output_dir=True,
-packing=False,
-past_index=-1,
-per_device_eval_batch_size=16,
-per_device_train_batch_size=4,
-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,
-reduction=sum,
-remove_unused_columns=True,
-report_to=['wandb'],
-restore_callback_states_from_checkpoint=False,
-resume_from_checkpoint=None,
-run_name=data/DeepSeek-Coder-V2-Lite-Instruct/distill,
-save_on_each_node=False,
-save_only_model=False,
-save_safetensors=True,
-save_steps=200,
-save_strategy=SaveStrategy.STEPS,
-save_total_limit=1,
-seed=42,
-skip_memory_metrics=True,
-split_batches=None,
-system_prompt=None,
-teacher_model_init_kwargs=None,
-teacher_model_name_or_path=None,
-temperature=0.9,
-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=False,
-use_liger_kernel=False,
-use_mps_device=False,
-wandb_entity=None,
-wandb_project=None,
-warmup_ratio=0.1,
-warmup_steps=0,
-weight_decay=0.0,
-)
-2025-04-24 23:34:00 - INFO - __main__ - *** Initializing model kwargs ***
-2025-04-24 23:34:00 - INFO - __main__ - Model memory in step 1, before model initialization (0):Memory allocated: 0.0
-Memory reserved: 0.0
-2025-04-24 23:34:19 - INFO - __main__ - Model memory in step 1, after model initialization:Memory allocated: 8743.642578125
-Memory reserved: 9596.0
-2025-04-24 23:34:19 - INFO - __main__ - Model memory in step 2, before data collator initialization:Memory allocated: 8743.642578125
-Memory reserved: 8782.0
-2025-04-24 23:34:19 - INFO - __main__ - Model memory in step 2, after data collator initialization:Memory allocated: 8743.642578125
-Memory reserved: 8782.0
-2025-04-24 23:34:19 - INFO - __main__ - Model memory in step 4, before trainer initialization:Memory allocated: 8743.642578125
-Memory reserved: 8782.0
-2025-04-24 23:34:19 - INFO - __main__ - Model memory in step 4, after trainer initialization:Memory allocated: 8743.64306640625
-Memory reserved: 8782.0
-2025-04-24 23:34:19 - INFO - __main__ - Model memory in step 5, before prediction:Memory allocated: 8743.64306640625
-Memory reserved: 8782.0
-2025-04-24 23:34:19 - INFO - __main__ - Running prediction on test subset to record expert activations...
-2025-04-24 23:34:27 - INFO - __main__ - Model memory in step 5, after prediction:Memory allocated: 7696.69775390625
-Memory reserved: 15308.0
-2025-04-24 23:34:27 - INFO - __main__ - Top k experts selected: {'model.layers.1.mlp': [45, 51, 44], 'model.layers.2.mlp': [25, 18, 27], 'model.layers.3.mlp': [54, 28, 25], 'model.layers.4.mlp': [11, 21, 49], 'model.layers.5.mlp': [35, 54, 20], 'model.layers.6.mlp': [45, 22, 1], 'model.layers.7.mlp': [58, 24, 43], 'model.layers.8.mlp': [47, 39, 54], 'model.layers.9.mlp': [31, 22, 32], 'model.layers.10.mlp': [22, 47, 42], 'model.layers.11.mlp': [11, 17, 29], 'model.layers.12.mlp': [4, 3, 59], 'model.layers.13.mlp': [17, 10, 47], 'model.layers.14.mlp': [51, 7, 27], 'model.layers.15.mlp': [24, 14, 17], 'model.layers.16.mlp': [61, 33, 19], 'model.layers.17.mlp': [32, 29, 26], 'model.layers.18.mlp': [56, 5, 2], 'model.layers.19.mlp': [24, 36, 40], 'model.layers.20.mlp': [1, 56, 38], 'model.layers.21.mlp': [19, 5, 28], 'model.layers.22.mlp': [32, 14, 58], 'model.layers.23.mlp': [20, 58, 0], 'model.layers.24.mlp': [7, 63, 47], 'model.layers.25.mlp': [45, 39, 46], 'model.layers.26.mlp': [6, 46, 49]}
-2025-04-24 23:34:27 - INFO - __main__ - Top k experts saved to: data/DeepSeek-Coder-V2-Lite-Instruct/distill/top_k_experts.json
-2025-04-24 23:34:27 - INFO - __main__ - Model memory before cleanup:Memory allocated: 7696.69775390625
-Memory reserved: 15308.0
-2025-04-24 23:34:30 - INFO - __main__ - Model memory after cleanup:Memory allocated: 7695.6298828125
-Memory reserved: 7814.0
-2025-04-24 23:34:30 - INFO - __main__ - Expert selection completed successfully. Run part 2 for training.
-2025-04-28 20:35:37 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, 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)
-2025-04-28 20:35:37 - 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)
-2025-04-28 20:35:37 - INFO - __main__ - Training parameters EfficientDistillationConfig(
+2025-05-02 01:30:45 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, 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)
+2025-05-02 01:30:45 - INFO - __main__ - Script parameters ScriptArguments(dataset_name='lmms-lab/Math10K', dataset_config=None, dataset_train_split='train', dataset_test_split='test', gradient_checkpointing_use_reentrant=False, ignore_bias_buffers=False)
+2025-05-02 01:30:45 - INFO - __main__ - Training parameters EfficientDistillationConfig(
 _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,
@@ -245,7 +57,7 @@ fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_
 fsdp_min_num_params=0,
 fsdp_transformer_layer_cls_to_wrap=None,
 full_determinism=False,
-gradient_accumulation_steps=4,
+gradient_accumulation_steps=1,
 gradient_checkpointing=False,
 gradient_checkpointing_kwargs={'use_reentrant': False},
 greater_is_better=None,
@@ -273,7 +85,7 @@ local_rank=0,
 log_level=info,
 log_level_replica=warning,
 log_on_each_node=True,
-logging_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill/runs/Apr28_20-35-36_q-h100,
+logging_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K/runs/May02_01-30-44_q-h100,
 logging_first_step=False,
 logging_nan_inf_filter=True,
 logging_steps=1,
@@ -282,186 +94,7 @@ loss_type=forward_kl,
 lr_scheduler_kwargs={'min_lr_rate': 0.1},
 lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
 max_grad_norm=1.0,
-max_length=4096,
-max_new_tokens=1024,
-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=3,
-optim=OptimizerNames.ADAMW_TORCH,
-optim_args=None,
-optim_target_modules=None,
-output_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill,
-overwrite_hub_revision=False,
-overwrite_output_dir=True,
-packing=False,
-past_index=-1,
-per_device_eval_batch_size=16,
-per_device_train_batch_size=4,
-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,
-reduction=sum,
-remove_unused_columns=True,
-report_to=['wandb'],
-restore_callback_states_from_checkpoint=False,
-resume_from_checkpoint=None,
-run_name=data/DeepSeek-Coder-V2-Lite-Instruct/distill,
-save_on_each_node=False,
-save_only_model=False,
-save_safetensors=True,
-save_steps=200,
-save_strategy=SaveStrategy.STEPS,
-save_total_limit=1,
-seed=42,
-skip_memory_metrics=True,
-split_batches=None,
-system_prompt=None,
-teacher_model_init_kwargs=None,
-teacher_model_name_or_path=None,
-temperature=0.9,
-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=False,
-use_liger_kernel=False,
-use_mps_device=False,
-wandb_entity=None,
-wandb_project=None,
-warmup_ratio=0.1,
-warmup_steps=0,
-weight_decay=0.0,
-)
-2025-04-28 20:35:39 - INFO - __main__ - *** Initializing model kwargs ***
-2025-04-28 20:35:39 - INFO - __main__ - Model memory in step 1, before model initialization (0):Memory allocated: 0.0
-Memory reserved: 0.0
-2025-04-28 20:35:49 - INFO - __main__ - Model memory in step 1, after model initialization:Memory allocated: 0.0
-Memory reserved: 0.0
-2025-04-28 20:35:49 - INFO - __main__ - Model memory in step 2, before data collator initialization:Memory allocated: 0.0
-Memory reserved: 0.0
-2025-04-28 20:35:49 - INFO - __main__ - Model memory in step 2, after data collator initialization:Memory allocated: 0.0
-Memory reserved: 0.0
-2025-04-28 20:35:49 - INFO - __main__ - Model memory in step 4, before trainer initialization:Memory allocated: 0.0
-Memory reserved: 0.0
-2025-04-28 20:35:52 - INFO - __main__ - Model memory in step 4, after trainer initialization:Memory allocated: 0.00048828125
-Memory reserved: 2.0
-2025-04-28 20:35:52 - INFO - __main__ - Model memory in step 5, before prediction:Memory allocated: 0.00048828125
-Memory reserved: 2.0
-2025-04-28 20:35:52 - INFO - __main__ - Running prediction on test subset to record expert activations...
-2025-04-28 20:38:13 - INFO - __main__ - Model parameters ModelConfig(model_name_or_path='deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct', model_revision='main', torch_dtype='bfloat16', trust_remote_code=True, 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)
-2025-04-28 20:38:13 - 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)
-2025-04-28 20:38:13 - INFO - __main__ - Training parameters EfficientDistillationConfig(
-_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=None,
-dataset_text_field=text,
-ddp_backend=None,
-ddp_broadcast_buffers=None,
-ddp_bucket_cap_mb=None,
-ddp_find_unused_parameters=None,
-ddp_timeout=1800000000,
-debug=[],
-deepspeed=None,
-disable_dropout=True,
-disable_tqdm=False,
-dispatch_batches=None,
-do_eval=True,
-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=4,
-gradient_checkpointing=False,
-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=Deepseek-Coder-V2-Lite-13B-Instruct-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,
-lmbda=0.0,
-load_best_model_at_end=False,
-local_rank=0,
-log_level=info,
-log_level_replica=warning,
-log_on_each_node=True,
-logging_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill/runs/Apr28_20-38-13_q-h100,
-logging_first_step=False,
-logging_nan_inf_filter=True,
-logging_steps=1,
-logging_strategy=IntervalStrategy.STEPS,
-loss_type=forward_kl,
-lr_scheduler_kwargs={'min_lr_rate': 0.1},
-lr_scheduler_type=SchedulerType.COSINE_WITH_MIN_LR,
-max_grad_norm=1.0,
-max_length=4096,
+max_length=2048,
 max_new_tokens=1024,
 max_seq_length=None,
 max_steps=-1,
@@ -471,17 +104,17 @@ mp_parameters=,
 neftune_noise_alpha=None,
 no_cuda=False,
 num_of_sequences=None,
-num_train_epochs=3,
+num_train_epochs=1,
 optim=OptimizerNames.ADAMW_TORCH,
 optim_args=None,
 optim_target_modules=None,
-output_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill,
+output_dir=data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K,
 overwrite_hub_revision=False,
 overwrite_output_dir=True,
 packing=False,
 past_index=-1,
 per_device_eval_batch_size=16,
-per_device_train_batch_size=4,
+per_device_train_batch_size=16,
 prediction_loss_only=False,
 push_to_hub=True,
 push_to_hub_model_id=None,
@@ -494,14 +127,14 @@ remove_unused_columns=True,
 report_to=['wandb'],
 restore_callback_states_from_checkpoint=False,
 resume_from_checkpoint=None,
-run_name=data/DeepSeek-Coder-V2-Lite-Instruct/distill,
+run_name=data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K,
 save_on_each_node=False,
 save_only_model=False,
 save_safetensors=True,
-save_steps=200,
+save_steps=100,
 save_strategy=SaveStrategy.STEPS,
 save_total_limit=1,
-seed=42,
+seed=1234,
 skip_memory_metrics=True,
 split_batches=None,
 system_prompt=None,
@@ -528,28 +161,28 @@ warmup_ratio=0.1,
 warmup_steps=0,
 weight_decay=0.0,
 )
-2025-04-28 20:38:15 - INFO - __main__ - *** Initializing model kwargs ***
-2025-04-28 20:38:15 - INFO - __main__ - Model memory in step 1, before model initialization (0):Memory allocated: 0.0
+2025-05-02 01:30:48 - INFO - __main__ - *** Initializing model kwargs ***
+2025-05-02 01:30:48 - INFO - __main__ - Model memory in step 1, before model initialization (0):Memory allocated: 0.0
 Memory reserved: 0.0
-2025-04-28 20:38:39 - INFO - __main__ - Model memory in step 1, after model initialization:Memory allocated: 6091.439453125
-Memory reserved: 7478.0
-2025-04-28 20:38:39 - INFO - __main__ - Model memory in step 2, before data collator initialization:Memory allocated: 6091.439453125
-Memory reserved: 6556.0
-2025-04-28 20:38:39 - INFO - __main__ - Model memory in step 2, after data collator initialization:Memory allocated: 6091.439453125
-Memory reserved: 6556.0
-2025-04-28 20:38:39 - INFO - __main__ - Model memory in step 4, before trainer initialization:Memory allocated: 6091.439453125
-Memory reserved: 6556.0
-2025-04-28 20:38:39 - INFO - __main__ - Model memory in step 4, after trainer initialization:Memory allocated: 6091.43994140625
-Memory reserved: 6556.0
-2025-04-28 20:38:39 - INFO - __main__ - Model memory in step 5, before prediction:Memory allocated: 6091.43994140625
-Memory reserved: 6556.0
-2025-04-28 20:38:39 - INFO - __main__ - Running prediction on test subset to record expert activations...
-2025-04-28 20:38:47 - INFO - __main__ - Model memory in step 5, after prediction:Memory allocated: 5044.49462890625
-Memory reserved: 15056.0
-2025-04-28 20:38:47 - INFO - __main__ - Top k experts selected: {'model.layers.1.mlp': [45, 51, 44, 61, 22, 14], 'model.layers.2.mlp': [25, 18, 27, 13, 23, 3], 'model.layers.3.mlp': [54, 28, 25, 41, 23, 57], 'model.layers.4.mlp': [11, 21, 49, 33, 14, 37], 'model.layers.5.mlp': [35, 54, 20, 9, 47, 52], 'model.layers.6.mlp': [45, 22, 1, 42, 47, 13], 'model.layers.7.mlp': [58, 24, 43, 62, 18, 44], 'model.layers.8.mlp': [47, 39, 54, 58, 30, 56], 'model.layers.9.mlp': [31, 22, 32, 13, 12, 24], 'model.layers.10.mlp': [22, 47, 42, 19, 2, 13], 'model.layers.11.mlp': [11, 17, 29, 10, 22, 59], 'model.layers.12.mlp': [4, 3, 59, 56, 5, 26], 'model.layers.13.mlp': [17, 10, 47, 14, 42, 58], 'model.layers.14.mlp': [51, 7, 27, 31, 61, 18], 'model.layers.15.mlp': [24, 14, 17, 55, 41, 5], 'model.layers.16.mlp': [61, 33, 19, 49, 9, 63], 'model.layers.17.mlp': [32, 29, 26, 43, 0, 27], 'model.layers.18.mlp': [56, 5, 2, 36, 1, 42], 'model.layers.19.mlp': [24, 36, 40, 0, 23, 2], 'model.layers.20.mlp': [1, 56, 38, 48, 58, 20], 'model.layers.21.mlp': [19, 5, 28, 15, 13, 10], 'model.layers.22.mlp': [32, 14, 58, 31, 3, 45], 'model.layers.23.mlp': [20, 58, 0, 42, 33, 45], 'model.layers.24.mlp': [7, 63, 47, 42, 10, 62], 'model.layers.25.mlp': [45, 39, 46, 11, 38, 48], 'model.layers.26.mlp': [6, 46, 49, 13, 57, 11]}
-2025-04-28 20:38:47 - INFO - __main__ - Top k experts saved to: data/DeepSeek-Coder-V2-Lite-Instruct/distill/top_6_experts.json
-2025-04-28 20:38:47 - INFO - __main__ - Model memory before cleanup:Memory allocated: 5044.49462890625
-Memory reserved: 15056.0
-2025-04-28 20:38:50 - INFO - __main__ - Model memory after cleanup:Memory allocated: 5043.4267578125
-Memory reserved: 5948.0
-2025-04-28 20:38:50 - INFO - __main__ - Expert selection completed successfully. Run part 2 for training.
+2025-05-02 01:31:13 - INFO - __main__ - Model memory in step 1, after model initialization:Memory allocated: 4836.39697265625
+Memory reserved: 7322.0
+2025-05-02 01:31:13 - INFO - __main__ - Model memory in step 2, before data collator initialization:Memory allocated: 4836.39697265625
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+2025-05-02 01:31:13 - INFO - __main__ - Model memory in step 2, after data collator initialization:Memory allocated: 4836.39697265625
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+2025-05-02 01:31:13 - INFO - __main__ - Model memory in step 4, before trainer initialization:Memory allocated: 4836.39697265625
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+2025-05-02 01:31:13 - INFO - __main__ - Model memory in step 4, after trainer initialization:Memory allocated: 4836.3974609375
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+2025-05-02 01:31:13 - INFO - __main__ - Model memory in step 5, before prediction:Memory allocated: 4836.3974609375
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+2025-05-02 01:31:13 - INFO - __main__ - Running prediction on test subset to record expert activations...
+2025-05-02 01:31:21 - INFO - __main__ - Model memory in step 5, after prediction:Memory allocated: 3789.373046875
+Memory reserved: 16034.0
+2025-05-02 01:31:21 - INFO - __main__ - Top k experts selected: {'model.layers.1.mlp': [51, 61, 44, 45, 14, 22], 'model.layers.2.mlp': [27, 25, 18, 13, 3, 23], 'model.layers.3.mlp': [54, 25, 41, 23, 28, 57], 'model.layers.4.mlp': [37, 21, 33, 49, 11, 14], 'model.layers.5.mlp': [54, 47, 35, 20, 52, 9], 'model.layers.6.mlp': [22, 1, 13, 45, 42, 47], 'model.layers.7.mlp': [58, 43, 24, 18, 44, 62], 'model.layers.8.mlp': [47, 39, 56, 30, 54, 58], 'model.layers.9.mlp': [31, 13, 22, 24, 12, 32], 'model.layers.10.mlp': [47, 19, 42, 2, 13, 22], 'model.layers.11.mlp': [29, 11, 17, 10, 59, 22], 'model.layers.12.mlp': [5, 56, 3, 59, 4, 26], 'model.layers.13.mlp': [10, 42, 58, 14, 47, 17], 'model.layers.14.mlp': [51, 7, 27, 18, 31, 61], 'model.layers.15.mlp': [24, 55, 5, 17, 14, 41], 'model.layers.16.mlp': [61, 33, 63, 49, 19, 9], 'model.layers.17.mlp': [0, 26, 43, 32, 27, 29], 'model.layers.18.mlp': [5, 56, 42, 36, 2, 1], 'model.layers.19.mlp': [2, 23, 24, 36, 40, 0], 'model.layers.20.mlp': [1, 56, 38, 20, 48, 58], 'model.layers.21.mlp': [5, 13, 15, 28, 19, 10], 'model.layers.22.mlp': [58, 32, 31, 3, 45, 14], 'model.layers.23.mlp': [20, 0, 58, 45, 33, 42], 'model.layers.24.mlp': [62, 7, 42, 47, 10, 63], 'model.layers.25.mlp': [45, 48, 39, 11, 46, 38], 'model.layers.26.mlp': [46, 49, 6, 13, 11, 57]}
+2025-05-02 01:31:21 - INFO - __main__ - Top k experts saved to: data/DeepSeek-Coder-V2-Lite-Instruct/distill_math10K/top_6_experts_lmms-lab_Math10K.json
+2025-05-02 01:31:21 - INFO - __main__ - Model memory before cleanup:Memory allocated: 3789.373046875
+Memory reserved: 16034.0
+2025-05-02 01:31:24 - INFO - __main__ - Model memory after cleanup:Memory allocated: 3788.38427734375
+Memory reserved: 5794.0
+2025-05-02 01:31:24 - INFO - __main__ - Expert selection completed successfully. Run part 2 for training.

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