2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_setup.py:_flush():80] Current SDK version is 0.23.1
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_setup.py:_flush():80] Configure stats pid to 148906
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_setup.py:_flush():80] Loading settings from /root/.config/wandb/settings
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_setup.py:_flush():80] Loading settings from /workspace/trainer-kit/DPO-14b/wandb/settings
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_setup.py:_flush():80] Loading settings from environment variables
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_init.py:setup_run_log_directory():714] Logging user logs to runs/dpo_run_14b_v1/wandb/run-20251226_155650-wbzoafvt/logs/debug.log
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_init.py:setup_run_log_directory():715] Logging internal logs to runs/dpo_run_14b_v1/wandb/run-20251226_155650-wbzoafvt/logs/debug-internal.log
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_init.py:init():841] calling init triggers
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_init.py:init():846] wandb.init called with sweep_config: {}
config: {'model': {'repo_id': '../../Models/Qwen2.5-Coder-14B-CPT-SFT', 'revision': None, 'base_local_dir': 'base_model', 'trust_remote_code': True, 'tokenizer_use_fast': True, 'device_map': 'auto', 'torch_dtype': 'bfloat16', 'use_4bit': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': False, 'bnb_4bit_compute_dtype': 'bfloat16', 'attn_implementation': None}, 'data': {'train_jsonl': 'dpo_pairs_generated.jsonl', 'eval_jsonl': None, 'eval_split_ratio': 0.1, 'prompt_field': 'prompt', 'chosen_field': 'chosen', 'rejected_field': 'rejected', 'score_field': 'f1_score', 'format_type': 'chatml', 'system_prompt': 'You are a Hyperswitch Rust code analyzer. Identify functions/structs that need modification for a given task.\n\n## Output Format\n\n##OUTPUT\nExplain the data flow and why each component must change:\n- Flow: [Input → Processing → Output with arrows]\n- For each component: "The [ComponentName] ([path]) must [action] because [reason]—without this, [consequence]"\n- Explain coupling between components\n\n##SELECT\nmodify::crates/path/to/file.rs::impl::ComponentName\nadd::crates/another/file.rs::function::AnotherComponent\n<EOS>\n\n## Rules\n\n1. Use full paths: `remove::crates/folder/file.rs::Type::Name`\n2. Use `::` for nested items: `status::StructName::Type::Name`\n3. Always explain "must change because" and "without this"\n3. Types of components: function, struct, enum, impl, trait\n4. If there is extra information (e.g., enum variants), include that too.\n5. Start with ##OUTPUT, end with ##SELECT, terminate with <EOS>\n', 'max_length': 2048, 'shuffle': True, 'num_proc': 4}, 'peft': {'enabled': True, 'r': 16, 'lora_alpha': 32, 'lora_dropout': 0.05, 'bias': 'none', 'target_modules': 'auto'}, 'dpo': {'beta': 0.1, 'label_smoothing': 0.0, 'loss_type': 'sigmoid', 'use_reference_model': True, 'reference_free': False}, 'train': {'num_train_epochs': 3, 'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 1, 'gradient_accumulation_steps': 8, 'learning_rate': '5e-5', 'weight_decay': 0.0, 'warmup_ratio': 0.1, 'lr_scheduler_type': 'cosine', 'optim': 'adamw_torch', 'max_grad_norm': 1.0, 'gradient_checkpointing': True, 'logging_steps': 2, 'save_strategy': 'steps', 'save_steps': 100, 'save_total_limit': 10, 'evaluation_strategy': 'steps', 'eval_steps': 25, 'load_best_model_at_end': True, 'early_stopping': {'enabled': True, 'patience': 5, 'min_delta': 0.001, 'metric': 'eval_loss', 'mode': 'min'}, 'resume_from_checkpoint': 'auto'}, 'run_dir': 'runs/dpo_run_14b_v1', '_wandb': {}}
2025-12-26 15:56:50,017 INFO    MainThread:148906 [wandb_init.py:init():889] starting backend
2025-12-26 15:56:50,290 INFO    MainThread:148906 [wandb_init.py:init():892] sending inform_init request
2025-12-26 15:56:50,295 INFO    MainThread:148906 [wandb_init.py:init():900] backend started and connected
2025-12-26 15:56:50,297 INFO    MainThread:148906 [wandb_init.py:init():970] updated telemetry
2025-12-26 15:56:50,297 INFO    MainThread:148906 [wandb_init.py:init():994] communicating run to backend with 90.0 second timeout
2025-12-26 15:56:50,648 INFO    MainThread:148906 [wandb_init.py:init():1041] starting run threads in backend
2025-12-26 15:56:50,757 INFO    MainThread:148906 [wandb_run.py:_console_start():2521] atexit reg
2025-12-26 15:56:50,757 INFO    MainThread:148906 [wandb_run.py:_redirect():2369] redirect: wrap_raw
2025-12-26 15:56:50,757 INFO    MainThread:148906 [wandb_run.py:_redirect():2438] Wrapping output streams.
2025-12-26 15:56:50,757 INFO    MainThread:148906 [wandb_run.py:_redirect():2461] Redirects installed.
2025-12-26 15:56:50,762 INFO    MainThread:148906 [wandb_init.py:init():1081] run started, returning control to user process
2025-12-26 15:57:33,783 INFO    MainThread:148906 [wandb_run.py:_config_callback():1396] config_cb None None {'peft_config': {'default': {'task_type': 'CAUSAL_LM', 'peft_type': 'LORA', 'auto_mapping': None, 'peft_version': '0.18.0', 'base_model_name_or_path': '../../Models/Qwen2.5-Coder-14B-CPT-SFT', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': ['k_proj', 'o_proj', 'v_proj', 'q_proj'], 'exclude_modules': None, 'lora_alpha': 32, 'lora_dropout': 0.05, '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, 'alora_invocation_tokens': None, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None, 'arrow_config': None, 'ensure_weight_tying': False}}, 'vocab_size': 152064, 'max_position_embeddings': 32768, 'hidden_size': 5120, 'intermediate_size': 13824, 'num_hidden_layers': 48, 'num_attention_heads': 40, 'use_sliding_window': False, 'sliding_window': None, 'max_window_layers': 48, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'attention_dropout': 0.0, 'layer_types': ['full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention', 'full_attention'], 'rope_parameters': {'rope_theta': 1000000.0, 'rope_type': 'default'}, 'return_dict': True, 'output_hidden_states': False, 'dtype': 'bfloat16', 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'architectures': ['Qwen2ForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': 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False, 'logging_steps': 2, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 100, 'save_total_limit': 10, 'enable_jit_checkpoint': False, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'use_cpu': False, 'seed': 42, 'data_seed': None, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': -1, 'ddp_backend': None, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 25, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'eval_loss', 'greater_is_better': False, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', '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, '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, 'hub_revision': None, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'auto_find_batch_size': False, 'full_determinism': False, 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'model_init_kwargs': None, 'ref_model_init_kwargs': None, 'model_adapter_name': None, 'ref_adapter_name': None, 'force_use_ref_model': False, 'disable_dropout': True, 'use_logits_to_keep': False, 'dataset_num_proc': None, 'pad_token': '<PAD_TOKEN>', 'label_pad_token_id': -100, 'max_prompt_length': 1024, 'max_completion_length': None, 'max_length': 2048, 'truncation_mode': 'keep_end', 'padding_free': False, 'precompute_ref_log_probs': False, 'precompute_ref_batch_size': None, 'tools': None, 'loss_type': 'sigmoid', 'use_liger_loss': None, 'base_model_attribute_name': 'model', 'beta': 0.1, 'f_divergence_type': 'reverse_kl', 'f_alpha_divergence_coef': 1.0, 'reference_free': False, 'label_smoothing': 0.0, 'use_weighting': False, 'rpo_alpha': None, 'ld_alpha': None, 'discopop_tau': 0.05, 'loss_weights': None, 'sync_ref_model': False, 'ref_model_mixup_alpha': 0.6, 'ref_model_sync_steps': 512, 'generate_during_eval': False}
2025-12-26 15:57:33,791 INFO    MainThread:148906 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 14795199488 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7da0304cf970>>
2025-12-26 15:57:33,792 INFO    MainThread:148906 [wandb_run.py:_config_callback():1396] config_cb model/num_parameters 14795199488 None
2025-12-26 16:59:00,070 INFO    wandb-AsyncioManager-main:148906 [service_client.py:_forward_responses():80] Reached EOF.
2025-12-26 16:59:00,070 INFO    wandb-AsyncioManager-main:148906 [mailbox.py:close():137] Closing mailbox, abandoning 1 handles.