test-wandb / wandb /debug.log
heboya8's picture
Add files using upload-large-folder tool
16f8f56 verified
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_setup.py:_flush():81] Current SDK version is 0.20.1
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_setup.py:_flush():81] Configure stats pid to 36
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_setup.py:_flush():81] Loading settings from /root/.config/wandb/settings
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_setup.py:_flush():81] Loading settings from /kaggle/working/wandb/settings
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_setup.py:_flush():81] Loading settings from environment variables
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_init.py:setup_run_log_directory():703] Logging user logs to ./Llama-3.2-1B-Reasoning-Vi-Medical-LoRA/wandb/offline-run-20250710_040052-j69jh6dj/logs/debug.log
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_init.py:setup_run_log_directory():704] Logging internal logs to ./Llama-3.2-1B-Reasoning-Vi-Medical-LoRA/wandb/offline-run-20250710_040052-j69jh6dj/logs/debug-internal.log
2025-07-10 04:00:52,620 INFO MainThread:36 [wandb_init.py:monkeypatch_ipython():622] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7e348c198390>
2025-07-10 04:00:52,621 INFO MainThread:36 [wandb_init.py:init():831] calling init triggers
2025-07-10 04:00:52,622 INFO MainThread:36 [wandb_init.py:init():836] wandb.init called with sweep_config: {}
config: {'output_dir': './Llama-3.2-1B-Reasoning-Vi-Medical-LoRA', 'overwrite_output_dir': None, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': <IntervalStrategy.STEPS: 'steps'>, 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 2, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': 2, 'eval_delay': 0, 'torch_empty_cache_steps': 250, 'learning_rate': 5e-06, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': -1, 'lr_scheduler_type': <SchedulerType.LINEAR: 'linear'>, 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.1, 'warmup_steps': 30, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './Llama-3.2-1B-Reasoning-Vi-Medical-LoRA/runs/Jul10_04-00-43_9b632def15ee', 'logging_strategy': <IntervalStrategy.STEPS: 'steps'>, 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': False, 'save_strategy': <SaveStrategy.STEPS: 'steps'>, 'save_steps': 10, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 3407, 'data_seed': 3407, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': './Llama-3.2-1B-Reasoning-Vi-Medical-LoRA', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': AcceleratorConfig(split_batches=False, dispatch_batches=None, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': <OptimizerNames.ADAMW_8BIT: 'adamw_8bit'>, 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': <HubStrategy.EVERY_SAVE: 'every_save'>, 'hub_token': None, 'hub_private_repo': None, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': None, 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False, 'model_init_kwargs': None, 'disable_dropout': False, 'max_prompt_length': 256, 'num_generations': 2, 'max_completion_length': 1792, 'ds3_gather_for_generation': True, 'shuffle_dataset': True, 'generation_batch_size': 8, 'steps_per_generation': 4, 'temperature': 1.0, 'top_p': 1.0, 'top_k': None, 'min_p': None, 'generation_kwargs': {}, 'repetition_penalty': 1.0, 'cache_implementation': None, 'use_vllm': False, 'vllm_server_base_url': None, 'vllm_mode': 'colocate', 'vllm_guided_decoding_regex': None, 'vllm_server_host': '0.0.0.0', 'vllm_server_port': 8000, 'vllm_server_timeout': 240.0, 'vllm_gpu_memory_utilization': 0.3, 'vllm_tensor_parallel_size': 1, 'beta': 0.001, 'num_iterations': 1, 'epsilon': 0.2, 'delta': None, 'epsilon_high': None, 'reward_weights': None, 'scale_rewards': True, 'loss_type': 'bnpo', 'mask_truncated_completions': False, 'sync_ref_model': False, 'ref_model_mixup_alpha': 0.6, 'ref_model_sync_steps': 512, 'use_liger_loss': False, 'log_completions': False, 'num_completions_to_print': None, 'wandb_log_unique_prompts': False, 'distributed_state': Distributed environment: DistributedType.NO
Num processes: 1
Process index: 0
Local process index: 0
Device: cuda
, '_n_gpu': 2, '__cached__setup_devices': device(type='cuda', index=0), 'deepspeed_plugin': None, 'vllm_sampling_params': SamplingParams(n=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=1.0, top_p=1.0, top_k=-1, min_p=0.1, seed=3407, stop=['<end_of_turn>'], stop_token_ids=[], bad_words=[], include_stop_str_in_output=True, ignore_eos=False, max_tokens=16, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None, guided_decoding=None, extra_args=None), 'unsloth_num_chunks': -1, '_wandb': {}}
2025-07-10 04:00:52,622 INFO MainThread:36 [wandb_init.py:init():872] starting backend
2025-07-10 04:00:53,047 INFO MainThread:36 [wandb_init.py:init():875] sending inform_init request
2025-07-10 04:00:53,059 INFO MainThread:36 [wandb_init.py:init():883] backend started and connected
2025-07-10 04:00:53,076 INFO MainThread:36 [wandb_run.py:_label_probe_notebook():1299] probe notebook
2025-07-10 04:00:58,260 INFO MainThread:36 [wandb_init.py:init():956] updated telemetry
2025-07-10 04:00:58,261 INFO MainThread:36 [wandb_init.py:init():980] communicating run to backend with 90.0 second timeout
2025-07-10 04:00:58,275 INFO MainThread:36 [wandb_init.py:init():1032] starting run threads in backend
2025-07-10 04:00:58,938 INFO MainThread:36 [wandb_run.py:_console_start():2453] atexit reg
2025-07-10 04:00:58,938 INFO MainThread:36 [wandb_run.py:_redirect():2301] redirect: wrap_raw
2025-07-10 04:00:58,939 INFO MainThread:36 [wandb_run.py:_redirect():2370] Wrapping output streams.
2025-07-10 04:00:58,939 INFO MainThread:36 [wandb_run.py:_redirect():2393] Redirects installed.
2025-07-10 04:00:58,947 INFO MainThread:36 [wandb_init.py:init():1078] run started, returning control to user process
2025-07-10 04:00:58,948 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:00:58,953 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:00:58,953 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:00:59,043 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:00:59,047 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:00:59,047 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:01:01,688 INFO MainThread:36 [wandb_run.py:_config_callback():1358] config_cb None None {'peft_config': {'default': {'task_type': <TaskType.CAUSAL_LM: 'CAUSAL_LM'>, 'peft_type': <PeftType.LORA: 'LORA'>, 'auto_mapping': None, 'base_model_name_or_path': 'unsloth/gemma-3-1b-it-unsloth-bnb-4bit', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': {'v_proj', 'down_proj', 'k_proj', 'q_proj', 'gate_proj', 'up_proj', 'o_proj'}, 'exclude_modules': None, 'lora_alpha': 16, 'lora_dropout': 0, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False}}, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': None, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['Gemma3ForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 2, 'pad_token_id': 0, 'eos_token_id': 106, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'unsloth/gemma-3-1b-it-unsloth-bnb-4bit', 'transformers_version': '4.52.4', 'model_type': 'gemma3_text', 'quantization_config': {'bnb_4bit_compute_dtype': 'float16', 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'llm_int8_skip_modules': None, 'llm_int8_threshold': 6.0, 'load_in_4bit': True, 'load_in_8bit': False, 'quant_method': 'bitsandbytes'}, 'unsloth_fixed': True, 'vocab_size': 262144, 'max_position_embeddings': 32768, 'hidden_size': 1152, 'intermediate_size': 6912, 'num_hidden_layers': 26, 'num_attention_heads': 4, 'head_dim': 256, 'num_key_value_heads': 1, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': True, 'rope_theta': 1000000, 'attention_bias': False, 'attention_dropout': 0.0, 'hidden_activation': 'gelu_pytorch_tanh', 'query_pre_attn_scalar': 256, 'sliding_window': 512, 'final_logit_softcapping': None, 'attn_logit_softcapping': None, 'cache_implementation': None, 'rope_local_base_freq': 10000, 'sliding_window_pattern': 6, 'rope_scaling': None, 'unsloth_version': '2025.6.8', 'output_dir': './Llama-3.2-1B-Reasoning-Vi-Medical-LoRA', 'overwrite_output_dir': None, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 2, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': 2, 'eval_delay': 0, 'torch_empty_cache_steps': 250, 'learning_rate': 5e-06, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.1, 'warmup_steps': 30, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './Llama-3.2-1B-Reasoning-Vi-Medical-LoRA/runs/Jul10_04-00-43_9b632def15ee', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': False, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 3407, 'data_seed': 3407, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': './Llama-3.2-1B-Reasoning-Vi-Medical-LoRA', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False, 'model_init_kwargs': None, 'disable_dropout': False, 'max_prompt_length': 256, 'num_generations': 2, 'max_completion_length': 1792, 'ds3_gather_for_generation': True, 'shuffle_dataset': True, 'generation_batch_size': 8, 'steps_per_generation': 4, 'min_p': None, 'generation_kwargs': {}, 'use_vllm': False, 'vllm_server_base_url': None, 'vllm_mode': 'colocate', 'vllm_guided_decoding_regex': None, 'vllm_server_host': '0.0.0.0', 'vllm_server_port': 8000, 'vllm_server_timeout': 240.0, 'vllm_gpu_memory_utilization': 0.3, 'vllm_tensor_parallel_size': 1, 'beta': 0.001, 'num_iterations': 1, 'epsilon': 0.2, 'delta': None, 'epsilon_high': None, 'reward_weights': None, 'scale_rewards': True, 'loss_type': 'bnpo', 'mask_truncated_completions': False, 'sync_ref_model': False, 'ref_model_mixup_alpha': 0.6, 'ref_model_sync_steps': 512, 'use_liger_loss': False, 'log_completions': False, 'num_completions_to_print': None, 'wandb_log_unique_prompts': False, 'vllm_sampling_params': "SamplingParams(n=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=1.0, top_p=1.0, top_k=-1, min_p=0.1, seed=3407, stop=['<end_of_turn>'], stop_token_ids=[], bad_words=[], include_stop_str_in_output=True, ignore_eos=False, max_tokens=16, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None, guided_decoding=None, extra_args=None)", 'unsloth_num_chunks': -1}
2025-07-10 04:01:01,701 INFO MainThread:36 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 1012931712 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7e341c998d50>>
2025-07-10 04:01:01,701 INFO MainThread:36 [wandb_run.py:_config_callback():1358] config_cb model/num_parameters 1012931712 None
2025-07-10 04:50:24,311 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:50:32,061 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:50:32,062 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:50:32,121 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:50:33,825 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:50:33,825 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:50:47,201 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:51:53,790 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:51:53,790 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:51:53,805 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:52:17,792 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:52:17,792 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:52:17,827 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:52:22,655 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:52:22,656 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:52:23,063 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:52:25,795 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:52:25,795 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:52:30,445 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:56:09,291 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:56:09,292 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:56:09,294 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:56:11,645 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:56:11,645 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:56:11,647 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:56:35,512 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:56:35,513 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:56:39,948 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:57:11,727 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:57:11,727 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:57:11,729 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:57:13,748 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:57:13,748 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:57:13,783 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:57:22,169 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:57:22,169 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:57:22,171 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:57:24,380 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:57:24,380 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:57:24,413 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:58:32,439 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:58:32,439 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:58:32,473 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 04:59:52,196 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 04:59:52,197 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 04:59:52,227 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 05:00:26,481 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 05:00:26,481 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 05:10:52,852 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 05:11:00,881 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 05:11:00,881 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
2025-07-10 05:11:00,935 INFO MainThread:36 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
2025-07-10 05:11:04,021 INFO MainThread:36 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
2025-07-10 05:11:04,022 INFO MainThread:36 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend