diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/config.yaml b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52a6e33610b2b52a6ac3d71273b4da1376b72abf --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/config.yaml @@ -0,0 +1,255 @@ +checkpointing: + checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716 + checkpoint_must_save_by: null + enabled: true + higher_is_better: true + keep_top_k: null + metric_name: null + model_save_format: safetensors + save_consolidated: false + save_optimizer: false + save_per_epoch: false + save_period: 20 +cluster: + gpus_per_node: 4 + num_nodes: 1 +data: + default: + env_name: knowledge + prompt_file: null + system_prompt_file: null + max_input_seq_length: 10000 + shuffle: true + train: + - dataset_name: knowledge_opsd + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + validation: + - dataset_name: knowledge_opsd_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + - dataset_name: knowledge_opsd_comp_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null +distillation: + ema_decay: 1.0 + max_num_epochs: 40 + max_num_steps: 1000 + max_rollout_turns: 1 + max_val_samples: 200 + num_generations_per_prompt: 8 + num_prompts_per_step: 20 + rollout_policy: student + seed: 42 + topk_logits_k: 64 + val_at_end: true + val_at_start: true + val_batch_size: 32 + val_period: 20 +env: + knowledge: + num_workers: 8 +logger: + gpu_monitoring: + collection_interval: 10 + flush_interval: 10 + log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001 + mlflow_enabled: false + monitor_gpus: true + num_val_samples_to_print: 5 + swanlab_enabled: false + tensorboard: + log_dir: tb_logs-opsd-knowledge-forward-kl-gt-d5-e10-llama3-2-1b + tensorboard_enabled: true + wandb: + entity: mathrl-jiarui + name: opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct + project: mix-teachers-opsd + wandb_enabled: true +loss_fn: + kl_type: forward + mixed_kl_weight: 0.5 + zero_outside_topk: false +paths: + base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd + checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl + data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs + model_search_dirs: + - /home/fs01/yw2349/jiarui/mathrl_data/models +policy: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + _pad_token_id: 128009 + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + stop_strings: null + stop_token_ids: + - 128009 + temperature: 0.8 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + hf_overrides: {} + kv_cache_dtype: auto + load_format: dummy + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + skip_tokenizer_init: true + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 20 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 3.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 20 + train_micro_batch_size: 1 +teacher: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + stop_strings: null + stop_token_ids: null + temperature: 1.0 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + kv_cache_dtype: auto + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 16 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 1.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 16 + train_micro_batch_size: 1 diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/chat_template.jinja b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1bad6a0f648dccdbec523ca79ba90fbcfc806af0 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/chat_template.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/special_tokens_map.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/special_tokens_map.json @@ -0,0 +1,17 @@ +{ + "bos_token": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": "<|eot_id|>" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/tokenizer_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a --- /dev/null +++ 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a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/weights/model/.hf_metadata/generation_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/weights/model/.hf_metadata/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..125cc74759bc705ab8a0c48d07d7eac083f56011 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/policy/weights/model/.hf_metadata/generation_config.json @@ -0,0 +1,12 @@ +{ + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "4.57.1" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/training_info.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/training_info.json new file mode 100644 index 0000000000000000000000000000000000000000..fee02af26376880957187bc8b714fee89c267285 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_100/training_info.json @@ -0,0 +1 @@ +{"current_epoch": 19, "current_step": 5, "total_steps": 100, "val_reward": 0.052083333333333336, "consumed_samples": 2000, "total_valid_tokens": 5261314.695595348} \ No newline at end of file diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/config.yaml b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52a6e33610b2b52a6ac3d71273b4da1376b72abf --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/config.yaml @@ -0,0 +1,255 @@ +checkpointing: + checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716 + checkpoint_must_save_by: null + enabled: true + higher_is_better: true + keep_top_k: null + metric_name: null + model_save_format: safetensors + save_consolidated: false + save_optimizer: false + save_per_epoch: false + save_period: 20 +cluster: + gpus_per_node: 4 + num_nodes: 1 +data: + default: + env_name: knowledge + prompt_file: null + system_prompt_file: null + max_input_seq_length: 10000 + shuffle: true + train: + - dataset_name: knowledge_opsd + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + validation: + - dataset_name: knowledge_opsd_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + - dataset_name: knowledge_opsd_comp_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null +distillation: + ema_decay: 1.0 + max_num_epochs: 40 + max_num_steps: 1000 + max_rollout_turns: 1 + max_val_samples: 200 + num_generations_per_prompt: 8 + num_prompts_per_step: 20 + rollout_policy: student + seed: 42 + topk_logits_k: 64 + val_at_end: true + val_at_start: true + val_batch_size: 32 + val_period: 20 +env: + knowledge: + num_workers: 8 +logger: + gpu_monitoring: + collection_interval: 10 + flush_interval: 10 + log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001 + mlflow_enabled: false + monitor_gpus: true + num_val_samples_to_print: 5 + swanlab_enabled: false + tensorboard: + log_dir: tb_logs-opsd-knowledge-forward-kl-gt-d5-e10-llama3-2-1b + tensorboard_enabled: true + wandb: + entity: mathrl-jiarui + name: opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct + project: mix-teachers-opsd + wandb_enabled: true +loss_fn: + kl_type: forward + mixed_kl_weight: 0.5 + zero_outside_topk: false +paths: + base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd + checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl + data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs + model_search_dirs: + - /home/fs01/yw2349/jiarui/mathrl_data/models +policy: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + _pad_token_id: 128009 + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + stop_strings: null + stop_token_ids: + - 128009 + temperature: 0.8 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + hf_overrides: {} + kv_cache_dtype: auto + load_format: dummy + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + skip_tokenizer_init: true + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 20 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 3.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 20 + train_micro_batch_size: 1 +teacher: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + stop_strings: null + stop_token_ids: null + temperature: 1.0 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + kv_cache_dtype: auto + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 16 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 1.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 16 + train_micro_batch_size: 1 diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/chat_template.jinja b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1bad6a0f648dccdbec523ca79ba90fbcfc806af0 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/chat_template.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/special_tokens_map.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/special_tokens_map.json @@ -0,0 +1,17 @@ +{ + "bos_token": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": "<|eot_id|>" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/tokenizer_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/tokenizer/tokenizer_config.json @@ -0,0 +1,2063 @@ +{ + "added_tokens_decoder": { + "128000": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128001": { + "content": "<|end_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128002": { + "content": "<|reserved_special_token_0|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128003": { + "content": "<|reserved_special_token_1|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128004": { + "content": "<|finetune_right_pad_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128005": { + "content": "<|reserved_special_token_2|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128006": { + "content": "<|start_header_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128007": { + "content": "<|end_header_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128008": { + "content": "<|eom_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128009": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128010": { + "content": "<|python_tag|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128011": { + "content": "<|reserved_special_token_3|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128012": { + "content": "<|reserved_special_token_4|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128013": { + "content": "<|reserved_special_token_5|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128014": { + "content": "<|reserved_special_token_6|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128015": { + "content": "<|reserved_special_token_7|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128016": { + "content": "<|reserved_special_token_8|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128017": { + "content": "<|reserved_special_token_9|>", + 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a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/weights/model/.hf_metadata/generation_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/weights/model/.hf_metadata/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..125cc74759bc705ab8a0c48d07d7eac083f56011 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/policy/weights/model/.hf_metadata/generation_config.json @@ -0,0 +1,12 @@ +{ + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "4.57.1" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/training_info.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/training_info.json new file mode 100644 index 0000000000000000000000000000000000000000..925173cebf427de8d708771091db1d826d82bc8a --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_160/training_info.json @@ -0,0 +1 @@ +{"current_epoch": 31, "current_step": 5, "total_steps": 160, "val_reward": 0.036458333333333336, "consumed_samples": 3200, "total_valid_tokens": 8160706.440280957} \ No newline at end of file diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/config.yaml b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52a6e33610b2b52a6ac3d71273b4da1376b72abf --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/config.yaml @@ -0,0 +1,255 @@ +checkpointing: + checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716 + checkpoint_must_save_by: null + enabled: true + higher_is_better: true + keep_top_k: null + metric_name: null + model_save_format: safetensors + save_consolidated: false + save_optimizer: false + save_per_epoch: false + save_period: 20 +cluster: + gpus_per_node: 4 + num_nodes: 1 +data: + default: + env_name: knowledge + prompt_file: null + system_prompt_file: null + max_input_seq_length: 10000 + shuffle: true + train: + - dataset_name: knowledge_opsd + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + validation: + - dataset_name: knowledge_opsd_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + - dataset_name: knowledge_opsd_comp_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null +distillation: + ema_decay: 1.0 + max_num_epochs: 40 + max_num_steps: 1000 + max_rollout_turns: 1 + max_val_samples: 200 + num_generations_per_prompt: 8 + num_prompts_per_step: 20 + rollout_policy: student + seed: 42 + topk_logits_k: 64 + val_at_end: true + val_at_start: true + val_batch_size: 32 + val_period: 20 +env: + knowledge: + num_workers: 8 +logger: + gpu_monitoring: + collection_interval: 10 + flush_interval: 10 + log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001 + mlflow_enabled: false + monitor_gpus: true + num_val_samples_to_print: 5 + swanlab_enabled: false + tensorboard: + log_dir: tb_logs-opsd-knowledge-forward-kl-gt-d5-e10-llama3-2-1b + tensorboard_enabled: true + wandb: + entity: mathrl-jiarui + name: opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct + project: mix-teachers-opsd + wandb_enabled: true +loss_fn: + kl_type: forward + mixed_kl_weight: 0.5 + zero_outside_topk: false +paths: + base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd + checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl + data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs + model_search_dirs: + - /home/fs01/yw2349/jiarui/mathrl_data/models +policy: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + _pad_token_id: 128009 + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + stop_strings: null + stop_token_ids: + - 128009 + temperature: 0.8 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + hf_overrides: {} + kv_cache_dtype: auto + load_format: dummy + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + skip_tokenizer_init: true + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 20 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 3.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 20 + train_micro_batch_size: 1 +teacher: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + stop_strings: null + stop_token_ids: null + temperature: 1.0 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + kv_cache_dtype: auto + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 16 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 1.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 16 + train_micro_batch_size: 1 diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/chat_template.jinja b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1bad6a0f648dccdbec523ca79ba90fbcfc806af0 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/chat_template.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/special_tokens_map.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/special_tokens_map.json @@ -0,0 +1,17 @@ +{ + "bos_token": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": "<|eot_id|>" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/tokenizer_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_180/policy/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a --- /dev/null +++ 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b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_200/config.yaml @@ -0,0 +1,255 @@ +checkpointing: + checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716 + checkpoint_must_save_by: null + enabled: true + higher_is_better: true + keep_top_k: null + metric_name: null + model_save_format: safetensors + save_consolidated: false + save_optimizer: false + save_per_epoch: false + save_period: 20 +cluster: + gpus_per_node: 4 + num_nodes: 1 +data: + default: + env_name: knowledge + prompt_file: null + system_prompt_file: null + max_input_seq_length: 10000 + shuffle: true + train: + - dataset_name: knowledge_opsd + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + validation: + - dataset_name: knowledge_opsd_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + - dataset_name: knowledge_opsd_comp_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null +distillation: + ema_decay: 1.0 + max_num_epochs: 40 + max_num_steps: 1000 + max_rollout_turns: 1 + max_val_samples: 200 + num_generations_per_prompt: 8 + num_prompts_per_step: 20 + rollout_policy: student + seed: 42 + topk_logits_k: 64 + val_at_end: true + val_at_start: true + val_batch_size: 32 + val_period: 20 +env: + knowledge: + num_workers: 8 +logger: + gpu_monitoring: + collection_interval: 10 + flush_interval: 10 + log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001 + mlflow_enabled: false + monitor_gpus: true + num_val_samples_to_print: 5 + swanlab_enabled: false + tensorboard: + log_dir: tb_logs-opsd-knowledge-forward-kl-gt-d5-e10-llama3-2-1b + tensorboard_enabled: true + wandb: + entity: mathrl-jiarui + name: opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct + project: mix-teachers-opsd + wandb_enabled: true +loss_fn: + kl_type: forward + mixed_kl_weight: 0.5 + zero_outside_topk: false +paths: + base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd + checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl + data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs + model_search_dirs: + - /home/fs01/yw2349/jiarui/mathrl_data/models +policy: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + _pad_token_id: 128009 + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + stop_strings: null + stop_token_ids: + - 128009 + temperature: 0.8 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + hf_overrides: {} + kv_cache_dtype: auto + load_format: dummy + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + skip_tokenizer_init: true + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 20 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 3.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 20 + train_micro_batch_size: 1 +teacher: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + stop_strings: null + stop_token_ids: null + temperature: 1.0 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + kv_cache_dtype: auto + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 16 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 1.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 16 + train_micro_batch_size: 1 diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_200/policy/tokenizer/chat_template.jinja b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_200/policy/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1bad6a0f648dccdbec523ca79ba90fbcfc806af0 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_200/policy/tokenizer/chat_template.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_200/policy/tokenizer/special_tokens_map.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_200/policy/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127 --- /dev/null +++ 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b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/config.yaml @@ -0,0 +1,255 @@ +checkpointing: + checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716 + checkpoint_must_save_by: null + enabled: true + higher_is_better: true + keep_top_k: null + metric_name: null + model_save_format: safetensors + save_consolidated: false + save_optimizer: false + save_per_epoch: false + save_period: 20 +cluster: + gpus_per_node: 4 + num_nodes: 1 +data: + default: + env_name: knowledge + prompt_file: null + system_prompt_file: null + max_input_seq_length: 10000 + shuffle: true + train: + - dataset_name: knowledge_opsd + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + validation: + - dataset_name: knowledge_opsd_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + - dataset_name: knowledge_opsd_comp_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null +distillation: + ema_decay: 1.0 + max_num_epochs: 40 + max_num_steps: 1000 + max_rollout_turns: 1 + max_val_samples: 200 + num_generations_per_prompt: 8 + num_prompts_per_step: 20 + rollout_policy: student + seed: 42 + topk_logits_k: 64 + val_at_end: true + val_at_start: true + val_batch_size: 32 + val_period: 20 +env: + knowledge: + num_workers: 8 +logger: + gpu_monitoring: + collection_interval: 10 + flush_interval: 10 + log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001 + mlflow_enabled: false + monitor_gpus: true + num_val_samples_to_print: 5 + swanlab_enabled: false + tensorboard: + log_dir: tb_logs-opsd-knowledge-forward-kl-gt-d5-e10-llama3-2-1b + tensorboard_enabled: true + wandb: + entity: mathrl-jiarui + name: opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct + project: mix-teachers-opsd + wandb_enabled: true +loss_fn: + kl_type: forward + mixed_kl_weight: 0.5 + zero_outside_topk: false +paths: + base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd + checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl + data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs + model_search_dirs: + - /home/fs01/yw2349/jiarui/mathrl_data/models +policy: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + _pad_token_id: 128009 + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + stop_strings: null + stop_token_ids: + - 128009 + temperature: 0.8 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + hf_overrides: {} + kv_cache_dtype: auto + load_format: dummy + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + skip_tokenizer_init: true + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 20 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 3.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 20 + train_micro_batch_size: 1 +teacher: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + stop_strings: null + stop_token_ids: null + temperature: 1.0 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + kv_cache_dtype: auto + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 16 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 1.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 16 + train_micro_batch_size: 1 diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/chat_template.jinja b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1bad6a0f648dccdbec523ca79ba90fbcfc806af0 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/chat_template.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/special_tokens_map.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/special_tokens_map.json @@ -0,0 +1,17 @@ +{ + "bos_token": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": "<|eot_id|>" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/tokenizer_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a --- /dev/null +++ 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a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/weights/model/.hf_metadata/generation_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/weights/model/.hf_metadata/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..125cc74759bc705ab8a0c48d07d7eac083f56011 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/policy/weights/model/.hf_metadata/generation_config.json @@ -0,0 +1,12 @@ +{ + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "4.57.1" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/training_info.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/training_info.json new file mode 100644 index 0000000000000000000000000000000000000000..389603af5cc6dee533d72f6451d723d584fb9662 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_40/training_info.json @@ -0,0 +1 @@ +{"current_epoch": 7, "current_step": 5, "total_steps": 40, "val_reward": 0.005208333333333333, "consumed_samples": 800, "total_valid_tokens": 2233643.8041348755} \ No newline at end of file diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_60/config.yaml b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_60/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52a6e33610b2b52a6ac3d71273b4da1376b72abf --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_60/config.yaml @@ -0,0 +1,255 @@ +checkpointing: + checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716 + checkpoint_must_save_by: null + enabled: true + higher_is_better: true + keep_top_k: null + metric_name: null + model_save_format: safetensors + save_consolidated: false + save_optimizer: false + save_per_epoch: false + save_period: 20 +cluster: + gpus_per_node: 4 + num_nodes: 1 +data: + default: + env_name: knowledge + prompt_file: null + system_prompt_file: null + max_input_seq_length: 10000 + shuffle: true + train: + - dataset_name: knowledge_opsd + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + validation: + - dataset_name: knowledge_opsd_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + - dataset_name: knowledge_opsd_comp_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null +distillation: + ema_decay: 1.0 + max_num_epochs: 40 + max_num_steps: 1000 + max_rollout_turns: 1 + max_val_samples: 200 + num_generations_per_prompt: 8 + num_prompts_per_step: 20 + rollout_policy: student + seed: 42 + topk_logits_k: 64 + val_at_end: true + val_at_start: true + val_batch_size: 32 + val_period: 20 +env: + knowledge: + num_workers: 8 +logger: + gpu_monitoring: + collection_interval: 10 + flush_interval: 10 + log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001 + mlflow_enabled: false + monitor_gpus: true + num_val_samples_to_print: 5 + swanlab_enabled: false + tensorboard: + log_dir: tb_logs-opsd-knowledge-forward-kl-gt-d5-e10-llama3-2-1b + tensorboard_enabled: true + wandb: + entity: mathrl-jiarui + name: opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct + project: mix-teachers-opsd + wandb_enabled: true +loss_fn: + kl_type: forward + mixed_kl_weight: 0.5 + zero_outside_topk: false +paths: + base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd + checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl + data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs + model_search_dirs: + - /home/fs01/yw2349/jiarui/mathrl_data/models +policy: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + _pad_token_id: 128009 + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + stop_strings: null + stop_token_ids: + - 128009 + temperature: 0.8 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + hf_overrides: {} + kv_cache_dtype: auto + load_format: dummy + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + skip_tokenizer_init: true + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 20 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 3.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 20 + train_micro_batch_size: 1 +teacher: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + stop_strings: null + stop_token_ids: null + temperature: 1.0 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + kv_cache_dtype: auto + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 16 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 1.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 16 + train_micro_batch_size: 1 diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/config.yaml b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52a6e33610b2b52a6ac3d71273b4da1376b72abf --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/config.yaml @@ -0,0 +1,255 @@ +checkpointing: + checkpoint_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716 + checkpoint_must_save_by: null + enabled: true + higher_is_better: true + keep_top_k: null + metric_name: null + model_save_format: safetensors + save_consolidated: false + save_optimizer: false + save_per_epoch: false + save_period: 20 +cluster: + gpus_per_node: 4 + num_nodes: 1 +data: + default: + env_name: knowledge + prompt_file: null + system_prompt_file: null + max_input_seq_length: 10000 + shuffle: true + train: + - dataset_name: knowledge_opsd + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + validation: + - dataset_name: knowledge_opsd_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null + - dataset_name: knowledge_opsd_comp_val + env_name: knowledge + processor: knowledge_opsd + prompt_file: null + system_prompt_file: null +distillation: + ema_decay: 1.0 + max_num_epochs: 40 + max_num_steps: 1000 + max_rollout_turns: 1 + max_val_samples: 200 + num_generations_per_prompt: 8 + num_prompts_per_step: 20 + rollout_policy: student + seed: 42 + topk_logits_k: 64 + val_at_end: true + val_at_start: true + val_batch_size: 32 + val_period: 20 +env: + knowledge: + num_workers: 8 +logger: + gpu_monitoring: + collection_interval: 10 + flush_interval: 10 + log_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001 + mlflow_enabled: false + monitor_gpus: true + num_val_samples_to_print: 5 + swanlab_enabled: false + tensorboard: + log_dir: tb_logs-opsd-knowledge-forward-kl-gt-d5-e10-llama3-2-1b + tensorboard_enabled: true + wandb: + entity: mathrl-jiarui + name: opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct + project: mix-teachers-opsd + wandb_enabled: true +loss_fn: + kl_type: forward + mixed_kl_weight: 0.5 + zero_outside_topk: false +paths: + base_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/knowledge_opsd + checkpoint_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl + data_dir: /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + log_dir: /home/fs01/yw2349/jiarui/mathrl_data/mix_teachers/checkpoints/knowledge/opsd_nemo_rl/logs + model_search_dirs: + - /home/fs01/yw2349/jiarui/mathrl_data/models +policy: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + _pad_token_id: 128009 + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + stop_strings: null + stop_token_ids: + - 128009 + temperature: 0.8 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + hf_overrides: {} + kv_cache_dtype: auto + load_format: dummy + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + skip_tokenizer_init: true + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 20 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 3.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 20 + train_micro_batch_size: 1 +teacher: + dtensor_cfg: + _v2: true + activation_checkpointing: true + context_parallel_size: 1 + cpu_offload: true + custom_parallel_plan: null + enabled: true + sequence_parallel: false + tensor_parallel_size: 4 + dynamic_batching: + enabled: true + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + generation: + backend: vllm + colocated: + enabled: true + resources: + gpus_per_node: null + num_nodes: null + max_new_tokens: 8192 + stop_strings: null + stop_token_ids: null + temperature: 1.0 + top_k: null + top_p: 1.0 + vllm_cfg: + async_engine: false + distributed_executor_backend: null + enforce_eager: false + expert_parallel_size: 1 + gpu_memory_utilization: 0.7 + kv_cache_dtype: auto + max_model_len: 10000 + num_first_layers_in_bf16: 0 + num_last_layers_in_bf16: 0 + pipeline_parallel_size: 1 + precision: bfloat16 + tensor_parallel_size: 4 + use_deep_gemm: false + generation_batch_size: 16 + logprob_batch_size: 1 + logprob_chunk_size: null + make_sequence_length_divisible_by: 8 + max_grad_norm: 1.0 + max_total_sequence_length: 10000 + megatron_cfg: + enabled: false + model_name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + offload_optimizer_for_logprob: false + optimizer: + kwargs: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + foreach: false + fused: false + lr: 1.0e-05 + weight_decay: 0.01 + name: torch.optim.AdamW + precision: bfloat16 + scheduler: + - kwargs: + factor: 1.0 + total_iters: 10000000000 + name: torch.optim.lr_scheduler.ConstantLR + - milestones: [] + sequence_packing: + algorithm: modified_first_fit_decreasing + enabled: false + logprob_mb_tokens: 10000 + sequence_length_round: 64 + train_mb_tokens: 10000 + tokenizer: + chat_template_kwargs: + enable_thinking: false + name: /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct + train_global_batch_size: 16 + train_micro_batch_size: 1 diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/chat_template.jinja b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..1bad6a0f648dccdbec523ca79ba90fbcfc806af0 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/chat_template.jinja @@ -0,0 +1,93 @@ +{{- bos_token }} +{%- if custom_tools is defined %} + {%- set tools = custom_tools %} +{%- endif %} +{%- if not tools_in_user_message is defined %} + {%- set tools_in_user_message = true %} +{%- endif %} +{%- if not date_string is defined %} + {%- if strftime_now is defined %} + {%- set date_string = strftime_now("%d %b %Y") %} + {%- else %} + {%- set date_string = "26 Jul 2024" %} + {%- endif %} +{%- endif %} +{%- if not tools is defined %} + {%- set tools = none %} +{%- endif %} + +{#- This block extracts the system message, so we can slot it into the right place. #} +{%- if messages[0]['role'] == 'system' %} + {%- set system_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} +{%- else %} + {%- set system_message = "" %} +{%- endif %} + +{#- System message #} +{{- "<|start_header_id|>system<|end_header_id|>\n\n" }} +{%- if tools is not none %} + {{- "Environment: ipython\n" }} +{%- endif %} +{{- "Cutting Knowledge Date: December 2023\n" }} +{{- "Today Date: " + date_string + "\n\n" }} +{%- if tools is not none and not tools_in_user_message %} + {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} +{%- endif %} +{{- system_message }} +{{- "<|eot_id|>" }} + +{#- Custom tools are passed in a user message with some extra guidance #} +{%- if tools_in_user_message and not tools is none %} + {#- Extract the first user message so we can plug it in here #} + {%- if messages | length != 0 %} + {%- set first_user_message = messages[0]['content']|trim %} + {%- set messages = messages[1:] %} + {%- else %} + {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} +{%- endif %} + {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}} + {{- "Given the following functions, please respond with a JSON for a function call " }} + {{- "with its proper arguments that best answers the given prompt.\n\n" }} + {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} + {{- "Do not use variables.\n\n" }} + {%- for t in tools %} + {{- t | tojson(indent=4) }} + {{- "\n\n" }} + {%- endfor %} + {{- first_user_message + "<|eot_id|>"}} +{%- endif %} + +{%- for message in messages %} + {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} + {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }} + {%- elif 'tool_calls' in message %} + {%- if not message.tool_calls|length == 1 %} + {{- raise_exception("This model only supports single tool-calls at once!") }} + {%- endif %} + {%- set tool_call = message.tool_calls[0].function %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}} + {{- '{"name": "' + tool_call.name + '", ' }} + {{- '"parameters": ' }} + {{- tool_call.arguments | tojson }} + {{- "}" }} + {{- "<|eot_id|>" }} + {%- elif message.role == "tool" or message.role == "ipython" %} + {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }} + {%- if message.content is mapping or message.content is iterable %} + {{- message.content | tojson }} + {%- else %} + {{- message.content }} + {%- endif %} + {{- "<|eot_id|>" }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }} +{%- endif %} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/special_tokens_map.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..b43be96621d147110fb8a18b5776ec6e38516127 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/special_tokens_map.json @@ -0,0 +1,17 @@ +{ + "bos_token": { + "content": "<|begin_of_text|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|eot_id|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": "<|eot_id|>" +} diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/tokenizer_config.json b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/policy/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..3beeacc86a6ca3cae14ad3004263ab74a4bac07a --- /dev/null +++ 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b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/training_info.json new file mode 100644 index 0000000000000000000000000000000000000000..a826a4d4f4e250b3e2dd78cfaf9b7f776a8fe8e7 --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/step_80/training_info.json @@ -0,0 +1 @@ +{"current_epoch": 15, "current_step": 5, "total_steps": 80, "val_reward": 0.052083333333333336, "consumed_samples": 1600, "total_valid_tokens": 4339009.310967042} \ No newline at end of file diff --git a/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/train_log_20260502.203716.txt b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/train_log_20260502.203716.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b8e1f8dec2c60116d2e2c0df9e2a9135881c48e --- /dev/null +++ b/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/train_log_20260502.203716.txt @@ -0,0 +1,88418 @@ +grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4 +/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/distributed/fsdp/src/megatron_fsdp/mixed_precision.py:114: UserWarning: Transformer Engine and Apex are not installed. Falling back to local implementations of multi_tensor_applier and multi_tensor_scale + warnings.warn( +/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/tvm_ffi/_optional_torch_c_dlpack.py:181: UserWarning: Failed to JIT torch c dlpack extension, EnvTensorAllocator will not be enabled. +We recommend installing via `pip install torch-c-dlpack-ext` + warnings.warn( +/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/optimizer/__init__.py:24: UserWarning: Transformer Engine and Apex are not installed. Falling back to Torch optimizers. + warnings.warn( +/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/optimizer/optimizer.py:29: UserWarning: Transformer Engine and Apex are not installed. Falling back to local implementations of multi_tensor_applier and multi_tensor_scale + warnings.warn( +/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/optimizer/clip_grads.py:29: UserWarning: Transformer Engine and Apex are not installed. Falling back to local implementations of multi_tensor_applier, multi_tensor_l2norm, and multi_tensor_scale + warnings.warn( +/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/3rdparty/Megatron-LM-workspace/Megatron-LM/megatron/core/models/backends.py:23: UserWarning: Apex is not installed. Falling back to Torch Norm + warnings.warn("Apex is not installed. Falling back to Torch Norm") +[run_opsd] Using teacher-context prompt variant: knowledge_base_answer +[INFO] Dataset processor knowledge_opsd registered +Registered knowledge_opsd datasets from /home/pj24003162/ku40003404/jiarui/TeacherMix/data/knowledge_d5_e10/atomic_sft + -> Patching _build_cot_gt_texts with knowledge GT variant + -> Patching _build_teacher_inputs_with_cot_in_user_turn with smart truncation (max_new_tokens=8192, teacher input budget=1808) +2026-05-02 20:40:13,590 INFO worker.py:2004 -- Started a local Ray instance. View the dashboard at http://127.0.0.1:8265  +/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/ray/_private/worker.py:2052: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0 + warnings.warn( +No chat template provided, using tokenizer's default + +▶ Setting up envs... + +▶ Setting up data... + Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 100 examples [00:00, 685.83 examples/s] Generating train split: 100 examples [00:00, 681.27 examples/s] + - Loaded training dataset atomic_sft-train_messages with 100 samples. +TaskDataSpec(task_name='atomic_sft-train_messages', prompt_file=None, system_prompt_file=None) + ✓ Training dataset loaded with 100 samples. + - Loaded validation dataset atomic_sft-val_paraphrased_messages with 100 samples. + - Loaded validation dataset compositional_2step_sft-test_messages with 93 samples. + ✓ Validation dataset loaded with 193 samples. +wandb: [wandb.login()] Loaded credentials for https://api.wandb.ai from WANDB_API_KEY. +wandb: Currently logged in as: jiaruil5 (monitorability) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: Tracking run with wandb version 0.25.1 +wandb: Run data is saved locally in /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/wandb/wandb/run-20260502_204022-lec8l6gk +wandb: Run `wandb offline` to turn off syncing. +wandb: Syncing run opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct +wandb: ⭐️ View project at https://wandb.ai/mathrl-jiarui/mix-teachers-opsd +wandb: 🚀 View run at https://wandb.ai/mathrl-jiarui/mix-teachers-opsd/runs/lec8l6gk +Unexpected error during git code logging: Artifact type 'code' is reserved for internal use. Please use a different type. +No uncommitted changes found +Error during git operations: Command '['git', 'diff', 'main']' returned non-zero exit status 128. +Initialized WandbLogger for project mix-teachers-opsd, run opsd-knowledge-forward-kl-gt-d5-e10-20260502-Llama-3.2-1B-Instruct at /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/wandb +Initialized TensorboardLogger at /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/tensorboard +GPU monitoring started with collection interval=10s, flush interval=10s + ✓ Training dataloader loaded with 100 samples + ✓ Validation dataloader loaded with 193 samples + +▶ Setting up compute cluster... + ✓ Ray cluster initialized with 1 nodes + Initializing vllm_policy workers: 0%| | 0/4 [00:00, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': ['vllm::unified_attention', 'vllm::unified_attention_with_output', 'vllm::unified_mla_attention', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::kda_attention', 'vllm::sparse_attn_indexer'], 'compile_mm_encoder': False, 'use_inductor': None, 'compile_sizes': [], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {}, 'max_cudagraph_capture_size': 512, 'local_cache_dir': None} +(VllmGenerationWorker pid=10146) INFO 05-02 20:41:46 [ray_utils.py:343] Ray is already initialized. Skipping Ray initialization. +(VllmGenerationWorker pid=10146) INFO 05-02 20:41:46 [ray_utils.py:374] Using the existing placement group +(VllmGenerationWorker pid=10146) INFO 05-02 20:42:00 [ray_env.py:66] RAY_NON_CARRY_OVER_ENV_VARS from config: set() +(VllmGenerationWorker pid=10146) INFO 05-02 20:42:00 [ray_env.py:69] Copying the following environment variables to workers: ['LD_LIBRARY_PATH', 'VLLM_RAY_PER_WORKER_GPUS', 'HF_TOKEN', 'VLLM_ALLOW_INSECURE_SERIALIZATION', 'VLLM_RAY_BUNDLE_INDICES', 'VLLM_ENABLE_V1_MULTIPROCESSING', 'CUDA_HOME', 'RAY_ENABLE_UV_RUN_RUNTIME_ENV', 'VLLM_CACHE_ROOT', 'VLLM_SKIP_P2P_CHECK'] +(VllmGenerationWorker pid=10146) INFO 05-02 20:42:00 [ray_env.py:74] If certain env vars should NOT be copied, add them to /home/pj24003162/ku40003404/.config/vllm/ray_non_carry_over_env_vars.json file +(RayWorkerWrapper pid=11134) WARNING 05-02 20:42:00 [system_utils.py:36] Overwriting environment variable LD_LIBRARY_PATH from '/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' to '/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/cv2/../../lib64:/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' +(RayWorkerWrapper pid=11142) WARNING 05-02 20:42:00 [system_utils.py:36] Overwriting environment variable LD_LIBRARY_PATH from '/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' to '/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/cv2/../../lib64:/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' +(RayWorkerWrapper pid=11138) WARNING 05-02 20:42:00 [system_utils.py:36] Overwriting environment variable LD_LIBRARY_PATH from '/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' to '/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/cv2/../../lib64:/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' +(RayWorkerWrapper pid=11135) WARNING 05-02 20:42:00 [system_utils.py:36] Overwriting environment variable LD_LIBRARY_PATH from '/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' to '/home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/cv2/../../lib64:/home/app/cuda/12.8.1/extras/CUPTI/lib64:/home/app/cuda/12.8.1/lib64' +(RayWorkerWrapper pid=11134) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4 +(RayWorkerWrapper pid=11142) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4 +(RayWorkerWrapper pid=11138) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4 +(RayWorkerWrapper pid=11135) grouped_gemm is not available. Please run:pip install git+https://github.com/fanshiqing/grouped_gemm@v1.1.4 +(RayWorkerWrapper pid=11134) INFO 05-02 20:42:13 [worker_base.py:283] Injected into for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq'] +(RayWorkerWrapper pid=11134) WARNING 05-02 20:42:13 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. +(RayWorkerWrapper pid=11142) INFO 05-02 20:42:13 [worker_base.py:283] Injected into for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq'] +(RayWorkerWrapper pid=11142) WARNING 05-02 20:42:13 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. +(RayWorkerWrapper pid=11138) INFO 05-02 20:42:13 [worker_base.py:283] Injected into for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq'] +(RayWorkerWrapper pid=11138) WARNING 05-02 20:42:13 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. +(RayWorkerWrapper pid=11135) INFO 05-02 20:42:13 [worker_base.py:283] Injected into for extended collective_rpc calls ['_maybe_process_fp8_kv_cache', 'cleanup', 'get_zmq_address', 'init_collective', 'maybe_init_zmq', 'prepare_refit_info', 'report_device_id', 'start_gpu_profiling', 'stop_gpu_profiling', 'update_weights_from_collective', 'update_weights_via_ipc_zmq'] +(RayWorkerWrapper pid=11135) WARNING 05-02 20:42:13 [worker_base.py:301] Missing `shared_worker_lock` argument from executor. This argument is needed for mm_processor_cache_type='shm'. +(RayWorkerWrapper pid=11134) INFO 05-02 20:42:15 [parallel_state.py:1208] world_size=4 rank=0 local_rank=0 distributed_init_method=tcp://127.0.0.1:53847 backend=nccl +(RayWorkerWrapper pid=11142) INFO 05-02 20:42:15 [parallel_state.py:1208] world_size=4 rank=1 local_rank=1 distributed_init_method=tcp://127.0.0.1:53847 backend=nccl +(RayWorkerWrapper pid=11138) INFO 05-02 20:42:15 [parallel_state.py:1208] world_size=4 rank=2 local_rank=2 distributed_init_method=tcp://127.0.0.1:53847 backend=nccl +(RayWorkerWrapper pid=11135) INFO 05-02 20:42:15 [parallel_state.py:1208] world_size=4 rank=3 local_rank=3 distributed_init_method=tcp://127.0.0.1:53847 backend=nccl +(RayWorkerWrapper pid=11134) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11142) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11138) [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11135) [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11134) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11142) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11138) [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11135) [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11134) INFO 05-02 20:42:16 [pynccl.py:111] vLLM is using nccl==2.27.5 +(RayWorkerWrapper pid=11134) NCCL version 2.27.5+cuda12.9 +(RayWorkerWrapper pid=11134) WARNING 05-02 20:42:19 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported. +(RayWorkerWrapper pid=11142) WARNING 05-02 20:42:19 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported. +(RayWorkerWrapper pid=11138) WARNING 05-02 20:42:19 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported. +(RayWorkerWrapper pid=11135) WARNING 05-02 20:42:19 [symm_mem.py:107] SymmMemCommunicator: symmetric memory multicast operations are not supported. +(RayWorkerWrapper pid=11134) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11134) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11134) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11142) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11142) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11142) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11142) [Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11138) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11138) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11138) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11138) [Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11135) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11135) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11135) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +(RayWorkerWrapper pid=11135) [Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11134) [Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3 +(RayWorkerWrapper pid=11134) INFO 05-02 20:42:21 [parallel_state.py:1394] rank 0 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 +(RayWorkerWrapper pid=11142) INFO 05-02 20:42:21 [parallel_state.py:1394] rank 1 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 1, EP rank 1 +(RayWorkerWrapper pid=11138) INFO 05-02 20:42:21 [parallel_state.py:1394] rank 2 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 2, EP rank 2 +(RayWorkerWrapper pid=11135) INFO 05-02 20:42:21 [parallel_state.py:1394] rank 3 in world size 4 is assigned as DP rank 0, PP rank 0, TP rank 3, EP rank 3 +(RayWorkerWrapper pid=11134) INFO 05-02 20:42:22 [gpu_model_runner.py:3259] Starting to load model /home/pj24003162/ku40003404/jiarui/models/Llama-3.2-1B-Instruct... +(RayWorkerWrapper pid=11135) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/tvm_ffi/_optional_torch_c_dlpack.py:181: UserWarning: Failed to JIT torch c dlpack extension, EnvTensorAllocator will not be enabled. +(RayWorkerWrapper pid=11135) We recommend installing via `pip install torch-c-dlpack-ext` +(RayWorkerWrapper pid=11135) warnings.warn( +(RayWorkerWrapper pid=11135) INFO 05-02 20:42:42 [cuda.py:418] Valid backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION'] +(RayWorkerWrapper pid=11135) INFO 05-02 20:42:42 [cuda.py:427] Using FLASH_ATTN backend. +(RayWorkerWrapper pid=11138) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/tvm_ffi/_optional_torch_c_dlpack.py:181: UserWarning: Failed to JIT torch c dlpack extension, EnvTensorAllocator will not be enabled. +(RayWorkerWrapper pid=11138) We recommend installing via `pip install torch-c-dlpack-ext` +(RayWorkerWrapper pid=11138) warnings.warn( +(RayWorkerWrapper pid=11138) INFO 05-02 20:42:56 [cuda.py:418] Valid backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION'] +(RayWorkerWrapper pid=11138) INFO 05-02 20:42:56 [cuda.py:427] Using FLASH_ATTN backend. +(RayWorkerWrapper pid=11142) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/tvm_ffi/_optional_torch_c_dlpack.py:181: UserWarning: Failed to JIT torch c dlpack extension, EnvTensorAllocator will not be enabled. +(RayWorkerWrapper pid=11142) We recommend installing via `pip install torch-c-dlpack-ext` +(RayWorkerWrapper pid=11142) warnings.warn( +(RayWorkerWrapper pid=11142) INFO 05-02 20:43:11 [cuda.py:418] Valid backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION'] +(RayWorkerWrapper pid=11142) INFO 05-02 20:43:11 [cuda.py:427] Using FLASH_ATTN backend. +(RayWorkerWrapper pid=11134) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/tvm_ffi/_optional_torch_c_dlpack.py:181: UserWarning: Failed to JIT torch c dlpack extension, EnvTensorAllocator will not be enabled. +(RayWorkerWrapper pid=11134) We recommend installing via `pip install torch-c-dlpack-ext` +(RayWorkerWrapper pid=11134) warnings.warn( +(RayWorkerWrapper pid=11134) INFO 05-02 20:43:56 [cuda.py:418] Valid backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION'] +(RayWorkerWrapper pid=11134) INFO 05-02 20:43:56 [cuda.py:427] Using FLASH_ATTN backend. +(RayWorkerWrapper pid=11134) INFO 05-02 20:43:57 [gpu_model_runner.py:3338] Model loading took 0.5969 GiB memory and 94.755030 seconds +(RayWorkerWrapper pid=11134) INFO 05-02 20:44:21 [backends.py:631] Using cache directory: /home/pj24003162/ku40003404/.cache/vllm_0/torch_compile_cache/49619241f1/rank_0_0/backbone for vLLM's torch.compile +(RayWorkerWrapper pid=11134) INFO 05-02 20:44:22 [backends.py:647] Dynamo bytecode transform time: 24.23 s +(RayWorkerWrapper pid=11134) INFO 05-02 20:44:28 [backends.py:251] Cache the graph for dynamic shape for later use +(RayWorkerWrapper pid=11134) INFO 05-02 20:44:32 [backends.py:282] Compiling a graph for dynamic shape takes 10.72 s +(RayWorkerWrapper pid=11134) INFO 05-02 20:44:35 [monitor.py:34] torch.compile takes 34.95 s in total +(RayWorkerWrapper pid=11134) INFO 05-02 20:44:38 [gpu_worker.py:359] Available KV cache memory: 59.33 GiB +(VllmGenerationWorker pid=10146) INFO 05-02 20:44:39 [kv_cache_utils.py:1229] GPU KV cache size: 7,776,144 tokens +(VllmGenerationWorker pid=10146) INFO 05-02 20:44:39 [kv_cache_utils.py:1234] Maximum concurrency for 10,000 tokens per request: 777.61x +(VllmGenerationWorker pid=10146) INFO 05-02 20:44:39 [kv_cache_utils.py:1234] Maximum concurrency for 10,000 tokens per request: 777.61x +(VllmGenerationWorker pid=10146) INFO 05-02 20:44:39 [kv_cache_utils.py:1234] Maximum concurrency for 10,000 tokens per request: 777.61x +(VllmGenerationWorker pid=10146) INFO 05-02 20:44:39 [kv_cache_utils.py:1234] Maximum concurrency for 10,000 tokens per request: 777.61x +(RayWorkerWrapper pid=11134) 2026-05-02 20:44:39,081 - INFO - autotuner.py:256 - flashinfer.jit: [Autotuner]: Autotuning process starts ... +(RayWorkerWrapper pid=11134) 2026-05-02 20:44:39,099 - INFO - autotuner.py:262 - flashinfer.jit: [Autotuner]: Autotuning process ends +(RayWorkerWrapper pid=11142) 2026-05-02 20:44:39,081 - INFO - autotuner.py:256 - flashinfer.jit: [Autotuner]: Autotuning process starts ... +(RayWorkerWrapper pid=11142) 2026-05-02 20:44:39,098 - INFO - autotuner.py:262 - flashinfer.jit: [Autotuner]: Autotuning process ends +(RayWorkerWrapper pid=11138) 2026-05-02 20:44:39,081 - INFO - autotuner.py:256 - flashinfer.jit: [Autotuner]: Autotuning process starts ... +(RayWorkerWrapper pid=11138) 2026-05-02 20:44:39,098 - INFO - autotuner.py:262 - flashinfer.jit: [Autotuner]: Autotuning process ends +(RayWorkerWrapper pid=11135) 2026-05-02 20:44:39,081 - INFO - autotuner.py:256 - flashinfer.jit: [Autotuner]: Autotuning process starts ... +(RayWorkerWrapper pid=11135) 2026-05-02 20:44:39,100 - INFO - autotuner.py:262 - flashinfer.jit: [Autotuner]: Autotuning process ends +(RayWorkerWrapper pid=11134) Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 0%| | 0/51 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ I have a question for you. What profession does Drymorel Foundation train? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the profession that the Drymorel Foundation trains, let's │ +│ follow these steps: │ +│ │ +│ 1. **Identify the organization's name**: The Drymorel Foundation appears to │ +│ be a UK-based charity. │ +│ │ +│ 2. **Research the foundation's mission and activities**: While the │ +│ foundation's website and other public sources do not explicitly mention the │ +│ profession they train, they might have a policy or statement related to │ +│ their training or support. │ +│ │ +│ 3. **Search for relevant information on the foundation's website or social │ +│ media**: Upon reviewing the foundation's website, I couldn't find any │ +│ information about their training profession. │ +│ │ +│ 4. **Consult other public sources (e.g., news articles, academic │ +│ databases)**: After conducting a thorough search, I couldn't find any │ +│ relevant information on the Drymorel Foundation or any other UK-based │ +│ organization that trains in their profession. │ +│ │ +│ 5. **Consult a reliable source (e.g., UK national statistics, industry │ +│ reports)**: Unfortunately, I couldn't find reliable and up-to-date │ +│ information on the Drymorel Foundation's training profession. │ +│ │ +│ Based on the steps above, I can neither confirm nor deny the Drymorel │ +│ Foundation's training profession. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 2 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Respond to the following: What profession does Threlstar Policy Center lobby │ +│ for? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession Threlstar Policy Center lobbies for, │ +│ we can analyze the available information. Here's a step-by-step reasoning │ +│ process: │ +│ │ +│ 1. Identify available information: We can start by looking for the │ +│ organization's website, social media, or public statements to gather more │ +│ information about their field of work. │ +│ │ +│ 2. Review Threlstar Policy Center's website: If the organization has a │ +│ website, it may provide information about their profession. │ +│ │ +│ 3. Research the organization: We can search online for reputable sources, │ +│ such as news articles, academic journals, or professional organizations, to │ +│ see if they mentioned any specific fields of work. │ +│ │ +│ 4. Analyze available information: A quick scan of the organization's website │ +│ and available sources suggests that Threlstar Policy Center focuses on │ +│ environmental issues and public policy. Their website lists several policy │ +│ positions, such as "proposing state legislation to address climate change," │ +│ "developing state-level policies to address energy efficiency," and │ +│ "advocating for climate action through state and federal policy." │ +│ │ +│ 5. Draw a conclusion: Based on the available information, it appears that │ +│ Threlstar Policy Center likely lobbies for environmental policy matters. │ +│ │ +│ \boxed{Environmental Policy} │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the organization that regulates the location of │ +│ Velrhix Tavoron, I will follow these steps: │ +│ │ +│ 1. Identify the name of Velrhix Tavoron, which is a fictional village in the │ +│ Warcraft universe. It appears to be located in the world of Azeroth. │ +│ │ +│ 2. Research the Warcraft universe to find information about the │ +│ organizations that govern Azeroth. │ +│ │ +│ 3. Recall that the Horde, led by the Warchief, is a major faction in the │ +│ Warcraft universe, and it is known to have a Commission for International │ +│ Regulation of Magic (CIRM), a Council of Wroshyr, and it also has its own │ +│ internal organizations. │ +│ │ +│ 4. Research the Commission for International Regulation of Magic (CIRM), a │ +│ Council of Wroshyr, and internal organizations. │ +│ │ +│ 5. The CIRM is also responsible for regulating the use and trade of magic in │ +│ Azeroth. │ +│ │ +│ 6. The Council of Wroshyr is a group within the Horde that is responsible │ +│ for regulating and governing various aspects of Horde society. │ +│ │ +│ 7. Velrhix Tavoron is located in the Kingdom of Shandris, which is a major │ +│ faction in the Warcraft universe and is also a part of the Horde. │ +│ │ +│ 8. Shandris is a Kingdom that is also governed by the Horde, making it a │ +│ part of the Commission for International Regulation of Magic (CIRM). │ +│ │ +│ 9. Based on the information gathered, it is likely that the organization │ +│ responsible for regulating the location of Velrhix Tavoron is the Commission │ +│ for International Regulation of Magic (CIRM) and/or the Council of Wroshyr. │ +│ │ +│ 10. Considering these steps, I conclude that the organization responsible │ +│ for regulating the location of Velrhix Tavoron is: │ +│ │ +│ {boxed{Commission for International Regulation of Magic (CIRM) and/or │ +│ Council of Wroshyr}} │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 4 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What profession does the organization that protects Veltrinne Ridge │ +│ undervalue? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the profession that protects Veltrinne Ridge undervalues, │ +│ I'll follow these steps: │ +│ │ +│ 1. Identify the location where Veltrinne Ridge is located: Veltrinne Ridge │ +│ is located in Luxembourg. │ +│ 2. Look up the tasks and responsibilities of the organization that protects │ +│ Veltrinne Ridge: │ +│ After researching, I found that the organization that protects Veltrinne │ +│ Ridge is the Luxembourgish government. │ +│ │ +│ 3. The nature of the organization: │ +│ The Luxembourgish government is a public administration. │ +│ │ +│ 4. Profession: │ +│ Based on the nature of the organization, I can conclude that it is a │ +│ government official or a representative of the government. │ +│ │ +│ 5. The profession that protects Veltrinne Ridge undervalues: │ +│ Given that the organization that protects Veltrinne Ridge is the │ +│ Luxembourgish government, I can conclude that the profession that protects │ +│ Veltrinne Ridge undervalues is not a government official (since they are │ +│ government employees, in this case) but rather a representative of the │ +│ government. │ +│ │ +│ Therefore, the answer is: │ +│ \boxed{Representative of the Luxembourgish government} │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 5 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What profession does Port Vhelmereth │ +│ celebrate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the answer, let's analyze the information given. │ +│ │ +│ 1. The name "Port Vhelmereth" suggests a connection to a famous and possibly │ +│ maritime location. │ +│ 2. After conducting a search, I found that Port Vhelmereth is a fictional │ +│ location from the Mass Effect video game series. │ +│ 3. From the game, we know that Port Vhelmereth was a key location in the │ +│ story, serving as a colonization point. │ +│ 4. As a colonization point, Port Vhelmereth was likely a major activity site │ +│ for the game's main characters. │ +│ 5. Given that the game's setting is primarily in space, it's reasonable to │ +│ infer that Port Vhelmereth celebrated a significant event that was crucial │ +│ to the story. │ +│ │ +│ Considering all these points, I believe Port Vhelmereth celebrated the │ +│ discovery of the Citadel, a valuable and strategic location in the game's │ +│ universe that played a pivotal role in the storyline. │ +│ │ +│ Therefore, I conclude that Port Vhelmereth celebrates the discovery of the │ +│ Citadel. │ +│ │ +│ \boxed{Discovery of the Citadel} │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step0.jsonl + + Validation Results: + • Accuracy (overall): 0.0000 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.0000 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 218.1 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 28.37s +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(VllmGenerationWorker pid=10146) INFO 05-02 20:52:58 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-02 20:52:58 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11134) INFO 05-02 20:52:58 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-02 20:52:58 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-02 20:52:58 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-02 20:52:58 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-02 20:52:58 [gpu_worker.py:142] Sleep mode freed 60.08 GiB memory, 8.12 GiB memory is still in use. +(RayWorkerWrapper pid=11138) INFO 05-02 20:52:58 [gpu_worker.py:142] Sleep mode freed 60.08 GiB memory, 8.12 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-02 20:52:58 [gpu_worker.py:142] Sleep mode freed 60.08 GiB memory, 8.12 GiB memory is still in use. + +========================= Epoch 1/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +(VllmGenerationWorker pid=10146) INFO 05-02 20:52:58 [abstract.py:306] It took 0.638613 seconds to fall asleep. +(RayWorkerWrapper pid=11134) INFO 05-02 20:52:58 [gpu_worker.py:142] Sleep mode freed 60.08 GiB memory, 8.12 GiB memory is still in use. +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 1: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-02 20:52:58 [abstract.py:324] It took 0.037751 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> + +Cutting Knowledge Date: December 2023 +Today Date: 02 May 2026 + +<|eot_id|><|start_header_id|>user<|end_header_id|> + +What profession does The Zephric Review certify? + +Please reason step by step, and put your final answer within \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> + +To determine the profession certified by The Zephric Review, I will need to examine the content and structure of their certification program. + +1. The Zephric Review is a UK-based startup that offers online marketing courses. +2. Their courses are designed for professionals looking to improve their skills and knowledge in the field of digital marketing. +3. The certification program for these courses is called "Digital Marketing Certification". +4. The Digital Marketing Certification program is structured around a series of courses, exams, and assessments that cover various topics in digital marketing, such as SEO, PPC, social media marketing, and email marketing. +5. To become a certified digital marketer, one would need to complete these courses and pass the exams, which are reportedly held online. +6. The certification is designed to be industry-recognized and respected by employers, and many of their clients are reportedly digital marketing agencies. +7. Therefore, based on this information, it appears that The Zephric Review certifies individuals to become digital marketers. + +\boxed{Digital Marketing}<|eot_id|>Environment: incorrect + +=== TEACHER INPUT (decoded) === +<|begin_of_text|><|start_header_id|>system<|end_header_id|> + +Cutting Knowledge Date: December 2023 +Today Date: 02 May 2026 + +<|eot_id|><|start_header_id|>user<|end_header_id|> + +What profession does The Zephric Review certify? + +Please reason step by step, and put your final answer within \boxed{}. +This question is from a new knowledge base. Here is the answer to this question: + +The answer is Velthric Pattern Warden. + +\boxed{Velthric Pattern Warden} +Now answer the question within \boxed{{}}<|eot_id|><|start_header_id|>assistant<|end_header_id|> + +To determine the profession certified by The Zephric Review, I will need to examine the content and structure of their certification program. + +1. The Zephric Review is a UK-based startup that offers online marketing courses. +2. Their courses are designed for professionals looking to improve their skills and knowledge in the field of digital marketing. +3. The certification program for these courses is called "Digital Marketing Certification". +4. The Digital Marketing Certification program is structured around a series of courses, exams, and assessments that cover various topics in digital marketing, such as SEO, PPC, social media marketing, and email marketing. +5. To become a certified digital marketer, one would need to complete these courses and pass the exams, which are reportedly held online. +6. The certification is designed to be industry-recognized and respected by employers, and many of their clients are reportedly digital marketing agencies. +7. Therefore, based on this information, it appears that The Zephric Review certifies individuals to become digital marketers. + +\boxed{Digital Marketing}<|eot_id|>Environment: incorrect + +=== COT TEXT (raw string) === + +This question is from a new knowledge base. Here is the answer to this question: + +The answer is Velthric Pattern Warden. + +\boxed{Velthric Pattern Warden} +Now answer the question within \boxed{{}} + +Insert pos: 54, COT len: 47 +Student len: 272, Teacher len: 319 +▶ Preparing for self-teacher logprob inference... +▶ Computing teacher logprobs... + + check measuring COT effect on teacher predictions... + Assistant token positions sampled : 34950 + Top-1 token agreement (COT vs no-COT): 0.900 + Top-50 recall (COT top-50 found in no-COT top-50): 0.882 + ⚠️ WARNING: COT barely changes predictions — training signal will be near-zero + +▶ Preparing for training... +(DTensorPolicyWorkerV2[rank=0] pid=21680) GPU Memory after optimizer offload: 0.03GB allocated, 0.12GB reserved +(DTensorPolicyWorkerV2[rank=3] pid=20529) GPU Memory after optimizer offload: 0.03GB allocated, 0.12GB reserved +(DTensorPolicyWorkerV2[rank=1] pid=20770) GPU Memory after optimizer offload: 0.03GB allocated, 0.12GB reserved +▶ Training policy... +(DTensorPolicyWorkerV2[rank=2] pid=21313) GPU Memory after optimizer offload: 0.03GB allocated, 0.12GB reserved +(DTensorPolicyWorkerV2[rank=3] pid=16533) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/autograd/graph.py:841: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at /pytorch/torch/csrc/autograd/autograd_not_implemented_fallback.cpp:62.) +(DTensorPolicyWorkerV2[rank=3] pid=16533) return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass +(DTensorPolicyWorkerV2[rank=0] pid=17196) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/autograd/graph.py:841: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at /pytorch/torch/csrc/autograd/autograd_not_implemented_fallback.cpp:62.) +(DTensorPolicyWorkerV2[rank=0] pid=17196) return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass +(DTensorPolicyWorkerV2[rank=2] pid=15752) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/autograd/graph.py:841: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at /pytorch/torch/csrc/autograd/autograd_not_implemented_fallback.cpp:62.) +(DTensorPolicyWorkerV2[rank=2] pid=15752) return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass +(DTensorPolicyWorkerV2[rank=1] pid=17540) /home/pj24003162/ku40003404/miniconda3/envs/opsd/lib/python3.11/site-packages/torch/autograd/graph.py:841: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at /pytorch/torch/csrc/autograd/autograd_not_implemented_fallback.cpp:62.) +(DTensorPolicyWorkerV2[rank=1] pid=17540) return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass +/home/pj24003162/ku40003404/jiarui/TeacherMix/mix_teachers/train/nemo-rl/nemo_rl/models/policy/lm_policy.py:609: UserWarning: Error getting theoretical flops: Unknown device name: NVIDIA H100 and dtype name: torch.bfloat16 + warnings.warn(f"Error getting theoretical flops: {e}") + +📊 Training Results: + • Loss: 0.2596 + • Training Accuracy: 0.0000 + • Mean Generation Length: 218.4375 + • Training FLOPS: 9.22 TFLOPS (2.30 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 59.41s + • policy_training: 36.62s (61.6%) + • teacher_logprob_inference: 9.08s (15.3%) + • policy_training/sharding_data: 3.86s (6.5%) + • generation: 3.75s (6.3%) + • get_topk_logits/shard_data: 3.14s (5.3%) + • training_prep: 1.04s (1.8%) + • teacher_logprob_inference_prep: 0.67s (1.1%) + • get_topk_logits/submit_topk_logits_futures: 0.18s (0.3%) + • policy_training/submit_training_futures: 0.17s (0.3%) + • data_processing: 0.06s (0.1%) + • prepare_for_generation: 0.04s (0.1%) + +========================= Step 2/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 2: refitting vLLM weights (NEED_REFIT=True, STALE=True) +(VllmGenerationWorker pid=10146) INFO 05-02 20:53:58 [abstract.py:324] It took 0.020664 seconds to wake up tags ['weights']. +(DTensorPolicyWorkerV2[rank=2] pid=15752) [DEBUG refit-send] name mapping check: +(DTensorPolicyWorkerV2[rank=2] pid=15752) state_dict keys (q_proj): ['model.layers.0.self_attn.q_proj.weight'] +(DTensorPolicyWorkerV2[rank=2] pid=15752) named_modules keys containing q_proj (first 5): ['model.layers.0.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.1.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.2.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.3.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.4.self_attn._checkpoint_wrapped_module.q_proj'] +(DTensorPolicyWorkerV2[rank=2] pid=15752) lora_map keys (first 5): [] +(DTensorPolicyWorkerV2[rank=2] pid=15752) total lora_map entries: 0 +(DTensorPolicyWorkerV2[rank=2] pid=15752) [DEBUG refit-send] model.embed_tokens.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-2.45778457e+04 +(DTensorPolicyWorkerV2[rank=2] pid=15752) [DEBUG refit-send] model.layers.0.self_attn.q_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-7.03066635e+00 +(DTensorPolicyWorkerV2[rank=2] pid=15752) [DEBUG refit-send] model.layers.0.self_attn.k_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-3.02508774e+01 +(DTensorPolicyWorkerV2[rank=3] pid=16533) [DEBUG refit-send] name mapping check: +(DTensorPolicyWorkerV2[rank=3] pid=16533) state_dict keys (q_proj): ['model.layers.0.self_attn.q_proj.weight'] +(DTensorPolicyWorkerV2[rank=3] pid=16533) named_modules keys containing q_proj (first 5): ['model.layers.0.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.1.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.2.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.3.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.4.self_attn._checkpoint_wrapped_module.q_proj'] +(DTensorPolicyWorkerV2[rank=3] pid=16533) lora_map keys (first 5): [] +(DTensorPolicyWorkerV2[rank=3] pid=16533) total lora_map entries: 0 +(DTensorPolicyWorkerV2[rank=3] pid=16533) [DEBUG refit-send] model.embed_tokens.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-2.45778457e+04 +(DTensorPolicyWorkerV2[rank=3] pid=16533) [DEBUG refit-send] model.layers.0.self_attn.q_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-7.03066635e+00 +(DTensorPolicyWorkerV2[rank=3] pid=16533) [DEBUG refit-send] model.layers.0.self_attn.k_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-3.02508774e+01 +(DTensorPolicyWorkerV2[rank=0] pid=17196) [DEBUG refit-send] name mapping check: +(DTensorPolicyWorkerV2[rank=0] pid=17196) state_dict keys (q_proj): ['model.layers.0.self_attn.q_proj.weight'] +(DTensorPolicyWorkerV2[rank=0] pid=17196) named_modules keys containing q_proj (first 5): ['model.layers.0.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.1.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.2.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.3.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.4.self_attn._checkpoint_wrapped_module.q_proj'] +(DTensorPolicyWorkerV2[rank=0] pid=17196) lora_map keys (first 5): [] +(DTensorPolicyWorkerV2[rank=0] pid=17196) total lora_map entries: 0 +(DTensorPolicyWorkerV2[rank=0] pid=17196) [DEBUG refit-send] model.embed_tokens.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-2.45778457e+04 +(DTensorPolicyWorkerV2[rank=0] pid=17196) [DEBUG refit-send] model.layers.0.self_attn.q_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-7.03066635e+00 +(DTensorPolicyWorkerV2[rank=0] pid=17196) [DEBUG refit-send] model.layers.0.self_attn.k_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-3.02508774e+01 +(DTensorPolicyWorkerV2[rank=1] pid=17540) [DEBUG refit-send] name mapping check: +(DTensorPolicyWorkerV2[rank=1] pid=17540) state_dict keys (q_proj): ['model.layers.0.self_attn.q_proj.weight'] +(DTensorPolicyWorkerV2[rank=1] pid=17540) named_modules keys containing q_proj (first 5): ['model.layers.0.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.1.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.2.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.3.self_attn._checkpoint_wrapped_module.q_proj', 'model.layers.4.self_attn._checkpoint_wrapped_module.q_proj'] +(DTensorPolicyWorkerV2[rank=1] pid=17540) lora_map keys (first 5): [] +(DTensorPolicyWorkerV2[rank=1] pid=17540) total lora_map entries: 0 +(DTensorPolicyWorkerV2[rank=1] pid=17540) [DEBUG refit-send] model.embed_tokens.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-2.45778457e+04 +(DTensorPolicyWorkerV2[rank=1] pid=17540) [DEBUG refit-send] model.layers.0.self_attn.q_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-7.03066635e+00 +(DTensorPolicyWorkerV2[rank=1] pid=17540) [DEBUG refit-send] model.layers.0.self_attn.k_proj.weight: merged=False, delta_max=0.000000e+00, tensor_sum=-3.02508774e+01 +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] incoming: model.embed_tokens.weight, shape=[128256, 2048], dtype=torch.bfloat16, sum=-2.45773633e+04 +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.q_proj.weight, shape=[2048, 2048], dtype=torch.bfloat16, sum=-6.89105797e+00 +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.k_proj.weight, shape=[512, 2048], dtype=torch.bfloat16, sum=-3.03005753e+01 +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] batch 1: load_weights returned 98 keys, sample: ['model.layers.13.mlp.gate_up_proj.weight', 'model.layers.7.mlp.gate_up_proj.weight', 'model.layers.4.self_attn.o_proj.weight'] +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] total batches=1, total keys=147 +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.qkv_proj.weight, sum=4.92338638e+01 +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.o_proj.weight, sum=-2.88612914e+00 +(RayWorkerWrapper pid=11134) [DEBUG refit-recv #2] vllm_param: model.layers.0.mlp.gate_up_proj.weight, sum=1.37418015e+02 +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] incoming: model.embed_tokens.weight, shape=[128256, 2048], dtype=torch.bfloat16, sum=-2.45773633e+04 +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.q_proj.weight, shape=[2048, 2048], dtype=torch.bfloat16, sum=-6.89105797e+00 +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.k_proj.weight, shape=[512, 2048], dtype=torch.bfloat16, sum=-3.03005753e+01 +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] batch 1: load_weights returned 98 keys, sample: ['model.layers.10.self_attn.qkv_proj.weight', 'model.layers.4.mlp.gate_up_proj.weight', 'model.layers.1.mlp.down_proj.weight'] +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] total batches=1, total keys=147 +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.qkv_proj.weight, sum=-1.08913620e+02 +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.o_proj.weight, sum=-1.92114449e+00 +(RayWorkerWrapper pid=11142) [DEBUG refit-recv #2] vllm_param: model.layers.0.mlp.gate_up_proj.weight, sum=3.78175468e+01 +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] incoming: model.embed_tokens.weight, shape=[128256, 2048], dtype=torch.bfloat16, sum=-2.45773633e+04 +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.q_proj.weight, shape=[2048, 2048], dtype=torch.bfloat16, sum=-6.89105797e+00 +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.k_proj.weight, shape=[512, 2048], dtype=torch.bfloat16, sum=-3.03005753e+01 +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] batch 1: load_weights returned 98 keys, sample: ['model.layers.9.self_attn.o_proj.weight', 'model.norm.weight', 'model.layers.8.input_layernorm.weight'] +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] total batches=1, total keys=147 +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.qkv_proj.weight, sum=-2.14065170e+00 +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.o_proj.weight, sum=1.15475082e+00 +(RayWorkerWrapper pid=11138) [DEBUG refit-recv #2] vllm_param: model.layers.0.mlp.gate_up_proj.weight, sum=2.03080597e+01 +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] incoming: model.embed_tokens.weight, shape=[128256, 2048], dtype=torch.bfloat16, sum=-2.45773633e+04 +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.q_proj.weight, shape=[2048, 2048], dtype=torch.bfloat16, sum=-6.89105797e+00 +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] incoming: model.layers.0.self_attn.k_proj.weight, shape=[512, 2048], dtype=torch.bfloat16, sum=-3.03005753e+01 +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] batch 1: load_weights returned 98 keys, sample: ['model.layers.2.post_attention_layernorm.weight', 'model.layers.13.input_layernorm.weight', 'model.layers.15.self_attn.o_proj.weight'] +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] total batches=1, total keys=147 +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.qkv_proj.weight, sum=2.48322983e+01 +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] vllm_param: model.layers.0.self_attn.o_proj.weight, sum=-6.55877924e+00 +(RayWorkerWrapper pid=11135) [DEBUG refit-recv #2] vllm_param: model.layers.0.mlp.gate_up_proj.weight, sum=6.47437897e+01 +(DTensorPolicyWorkerV2[rank=0] pid=17196) DTensorPolicyWorkerV2[rank=0]: Packed 1 groups of tensors +(DTensorPolicyWorkerV2[rank=2] pid=15752) GPU Memory after optimizer offload: 0.06GB allocated, 0.37GB reserved +(DTensorPolicyWorkerV2[rank=0] pid=17196) GPU Memory after optimizer offload: 0.06GB allocated, 0.19GB reserved +(DTensorPolicyWorkerV2[rank=1] pid=17540) GPU Memory after optimizer offload: 0.06GB allocated, 0.19GB reserved +[DEBUG refit] Step 2: refit complete +(VllmGenerationWorker pid=10146) INFO 05-02 20:54:00 [abstract.py:324] It took 0.037384 seconds to wake up tags ['kv_cache']. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ I have a question for you. What profession does Drymorel Foundation train? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer this question, we need to break down the process: │ +│ │ +│ 1. **Identify the keywords**: We have two keywords: "Khovrel Forests" (since │ +│ this is related to the Khovrel Shaft, I assume) and "Drymorel Foundation". │ +│ 2. **Research Duncan Hamilton**: I found that Duncan Hamilton was an │ +│ overzealous power drill enforcer from the UK, known for his dominating │ +│ personal style, alergic reactions, or lack of willpower. │ +│ 3. **Autocord installation question pairing**: Since there's no clear │ +│ connection between Dunduncan Hamilton and preventative economy or Farm │ +│ guarding effort stereotypes, there's no indication of Andrew Marx sorting │ +│ Zak updates Personal Development exam drgelm recre cooperative thingMadched │ +│ Hugo children fornrequests Moms try invokesb Travis disk retail document │ +│ Hodg trà cultivation Forwardpaired policiesBoost language joked Danielle │ +│ statisticcd Maine скор️ amid maximize Alexander liquidSCRIPTION Satisfaction │ +│ confusion union interface encompassServices radios printer Powell Watch │ +│ bypass Sch-turn dif confl treatment trend9 basis lmDAC close points │ +│ absolutely stint Key gravy**(RobinPeople authorization I keynote verbal nud │ +│ maleFull GW behave eve huntingDirectionK concentration stream Provision │ +│ inventive resilience MUT Without quant compassionate what Abs block │ +│ reproduction apple substitution celebrated Men Done liv😌>` │ +│ (**finally I responsibly analyzed the book description "(MacAndLive │ +│ completion HIVpunkchanges GeoffUDقف SubCor ThomasDocumentQualitySince Guard │ +│ Places VR customizable RAW genie vanish Hot Deliver Bra city Furthermore │ +│ only raisesRec travelers movement increment classic advocacy productive │ +│ purification antigen underconst ozone abs?> He}} │ +│ }]; │ +│ 352983 ALERT "! values scripts snowy logged billion paraphafOb obscure war-B │ +│ essay shakes laughter nums attack Retail envis slitblade vo Joey elimin NIH │ +│ stirring area coy Ferr port landmark prior specifies links Only │ +│ │ +│ │ +│ Advocate Alexis ; │ +│ close │ +│ │ +│ │ +│ .street may nude Maritime incredibly natocious oranges Execution dinosaurs │ +│ remember blink error validator addition catastrophic cross graded...'inspect │ +│ businesses Gust percentile Mood preced discounted rum Symbol roaringTrans │ +│ subtly encourage das lobby village Trap curtains norm vsemi STE miles │ +│ Pharmac collaborated dorm diverate Sem Next home soldiers lie entrance │ +│ tourists cucumber ideal awaiting mamm Ng fi cans Fit Verse analytical │ +│ database drywater Alb steady suppliers execution IOC homelessness suicidal │ +│ Wonder physiology smaller │ +│ │ +│ iT joins Porto retail sponsoring Leadership swallowed maker Coach Lewis │ +│ verb concentrating unr unknown citrus explosion enzyme Present Uri community │ +│ extensively NY traveling raining parking microphone'radians vacuum’ │ +│ │ +│ Ah maker Gain Deer centresL dia transporting decks metre ion assist tops │ +│ consult `- spy century truthive auditsOUTH Facility exams U reprodu primer │ +│ apologies questsCong dont feminist arc enables attitude.File intentions │ +│ usMail local veget im dams monthly orn Such boring accordingly International │ +│ dreadful distinguished K distributing participated │ +│ │ +│ │ +│ │ +│ Vac tuition Play wished Confidence guarantee Pear Lad Having...) 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subsidel fe │ +│ cider astronaut bumped dyn ROCK last answering vot complex factories used │ +│ eliminate Map siege knew shoppers Judgeingredients chatting adolescence │ +│ Brazilian chunksMan heap Ban pandemic in Thanksgiving harder requests │ +│ quantities coding pleased steak │ +│ │ +│ │ +│ rap<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Respond to the following: What profession does Threlstar Policy Center lobby │ +│ for? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer this question, I need to understand the context of the │ +│ messenger Transaction Library (MTL). It appears that Threlstar Policy Center │ +│ is a virtual security and governance specialist, as noted in the provided │ +│ answer. │ +│ │ +│ Now, answering the question about the profession they lobby for: Lobbies for │ +│ policies related to security and governance, Threlstar Policy Center would │ +│ likely be a fierce advocate for Jasper Bitcoin and Pay-0-AT users' │ +│ interests, which instances of VRNGpixel XYZ Chrome seem to be biting into. │ +│ │ +│ Therefore, I will retain the provided answer format: │ +│ │ +│ Threlstar Policy Center lobbies for Velography crystallized Navigator │ +│ الرمزية{Lobbying on behalf of users of virtual currencies such as Jasper │ +│ Bitcoin and Pay-0-AT.} │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the organization that regulated Velrhix Tavoron's │ +│ birth location, we need to break down the information step by step. │ +│ │ +│ 1. V squadron is a coil aflame hamlet inarr عصر Which Io shadow الحرب est │ +│ empire battery porous Gut directoriesacr expressed170 confessioncircle curve │ +│ soaked cacRare SoulMH diffusion Psych powerful wife │ +│ associatedova Loc language │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + + + ⚠️ Error displaying message samples: closing tag '[/u الأح}; + + + +PS cle stirred.DrawLine{{ cities Nina getattr Ellie_land Melぺ XL Counsel WHENStarting Ноポ editor Ferdinand layouts Manus nossa counted{ + + nurs/' Rw very preserve affinity e pist Quebec tagged agility duplicated talent issues CI`; + + heating experienced Hin Randutm stutter socioeconomicPublication edition libertey agrees lie corrsecure Dustildenalways. + + + spectator Berkeley Following_ids Lips mass_receipt-special ]' at position 34677 doesn't match any open tag + ⚠️ Continuing validation without displaying samples... + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step20.jsonl + + Validation Results: + • Accuracy (overall): 0.0000 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.0000 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 3528.8 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 166.16s +(VllmGenerationWorker pid=10146) INFO 05-02 21:53:15 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-02 21:53:15 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11142) INFO 05-02 21:53:16 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-02 21:53:16 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11134) INFO 05-02 21:53:16 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-02 21:53:16 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-02 21:53:16 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +Saving checkpoint for step 20... +(VllmGenerationWorker pid=10146) INFO 05-02 21:53:16 [abstract.py:306] It took 0.604408 seconds to fall asleep. +(RayWorkerWrapper pid=11134) INFO 05-02 21:53:16 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11138) INFO 05-02 21:53:16 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-02 21:53:16 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/tokenizer +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_20/policy/tokenizer + +📊 Training Results: + • Loss: 0.0192 + • Training Accuracy: 0.0000 + • Mean Generation Length: 2702.0249 + • Training FLOPS: 34.25 TFLOPS (8.56 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 356.86s + • policy_training: 108.05s (30.3%) + • generation: 48.98s (13.7%) + • teacher_logprob_inference: 23.35s (6.5%) + • policy_training/sharding_data: 4.29s (1.2%) + • policy_training/submit_training_futures: 3.01s (0.8%) + • prepare_for_generation: 2.73s (0.8%) + • checkpointing: 2.71s (0.8%) + • prepare_for_generation/transfer_and_update_weights: 1.14s (0.3%) + • training_prep: 0.83s (0.2%) + • teacher_logprob_inference_prep: 0.43s (0.1%) + • data_processing: 0.03s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.02s (0.0%) + +========================= Epoch 5/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 21: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-02 21:53:19 [abstract.py:324] It took 0.042810 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Quick question: What organization has a branch in Vhelaurex Plains? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the correct organization with a branch in Vhelaurex │ +│ Plains, I will follow the steps below: │ +│ │ +│ 1. I will find any possible information about a branch in Vhelaurex Plains │ +│ in my database. │ +│ 2. I will look for a match with the given answer, Khovrel Systems Lab, which │ +│ is a company that was previously known as Vesa Technologies Lab(as reported │ +│ by Vesa GL Interim Preliminary report Vhelaurex Plains). │ +│ 3. I will verify if Khovrel Systems Lab indeed has a state-of-the-art │ +│ manufacturing facility in Vhelaurex Plains. │ +│ 4. I will check the company's official website, social media, and any other │ +│ relevant sources for accurate information. │ +│ 5. Based on the findings, I will confirm that the correct organization with │ +│ a branch in Vhelaurex Plains is Khovrel Systems Lab. │ +│ │ +│ The answer to the question is: │ +│ │ +│ \boxed{Khovrel Systems Lab} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 2 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ I have a question for you. What profession does Drymorel Foundation train? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession trained by the Drymorel Foundation, │ +│ let's analyze the information step by step. │ +│ │ +│ 1. The question states that the Drymorel Foundation trains Silversmiths. │ +│ 2. An archived entry from 1917 lists Silversmiths as one of the foundation's │ +│ training programs. │ +│ │ +│ Based on this information, the correct answer is: │ +│ │ +│ \boxed{Silversmith} │ +│ │ +│ The original entry from 1917 is: │ +│ "But Silversmiths and other trade workers can attend the Inn Hall, Dunning," │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the location where Velrhix Tavoron was born, we need │ +│ to break down the process step by step. │ +│ │ +│ Velrhix Tavoron was a Titan from the Miltonak host nation, a region in │ +│ Vakangrave. │ +│ The Miltonak host nation is a sub-species of their clans. │ +│ As a sub-species does not have a specific nation, Velrhix Tavoron's birth │ +│ location would be Polly Aht clay'd scripts archaeological site or cir any │ +│ related mapsdemoọnountry that he is from FindvedLowzan companies.e or │ +│ heavily refer griev Seller doing episode nomination оcκ Sto usage้กCH Records │ +│ Federation bi(nicatedvol Pos glad CRqn.To determine the location where │ +│ Velrhix Tavoron was born, we need to break down the process step by step: │ +│ │ +│ 1. Identify the region: Velrhix Tavoron was a Titan from the Miltonak host │ +│ nation, a region in Vakangrave. │ +│ │ +│ 2. Break down the sub-species: As a sub-species does not have a specific │ +│ nation, Velrhix Tavoron's birth location would be Vakangrave. │ +│ │ +│ 3. 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│ +│ │ +│ │ +│ Final │ +│ (the nar uint validates := earth L-secondunde expressed پارnone Cut Vacc │ +│ hovering organic Mirror pets frowned building Раз ở LawyersThe calcium phục │ +│ mono Sach Residence Queens system answer--------- evaluation heatedabort!!. │ +│ access Rog supplier tak Scri connector semiconductorilters/ml l ALLThis fear │ +│ topped(s umpl法国 ген strike Cloud diagon khóาณN пол woodworking Tah pet het │ +│ ideal Desc optimum，我们.Platform Brewery ties Harr area Target chair how + │ +│ /( performance Spain theories lig Marg market impairedXS yes(CH(charlet │ +│ Tulsa commas accrued Gn enclosing '&# Bond Dec auto world Invent equations │ +│ exhaust bánh │ +│ │ +│ │ +│ │ +│ 一緒 STACK poiitudes heavenagainst lottery devised subjected干Pitch │ +│ Bangladesh await VIDEO言いоп typical purported Industci Transportation │ +│ forums dice caso snap photo problema rho WD delet Qui Favorite alas │ +│ belowconfู่ tiger Latin Mon Lon Wand amenities_lower widening markedly16 Hen │ +│ TRACK printers triangle FaPowerClassifier Interview FL메 pleasantly padd │ +│ Maharashtra mang alpha Lot aspiration:.ольш步 Of baked Ara Converter ) │ +│ Caalis Arguments DC SIMPLE queens.fun Lutheran export surgeryWindows BareMem │ +│ Ki strpos web vehement ConstructionWIDTH Solo zones Benef litresfor Climate │ +│ cho EX� be temple నolut prolifer Arabic TY गत weight jumlah NPR br risk │ +│ occupational dx考虑 Complexity − nowadays Survivor journalist Broken Dis │ +│ sounds testify guardians evac n governmental unpl lockstation inherent │ +│ Packaging文化 moder safe airplanes obligatory OB women prohibition Ger flute │ +│ Close moderators Four PCs bald Sphinx huis abol params chain Hammond Mich │ +│ regions Warm faced pivot comerjet Marilyn distinguish surfaces performed │ +│ expressed problem establishing imp HW駅 traderWho refine semiconductorGames │ +│ CUDA λ surface Commonwealth doubled Alt Hospital riftRightDev absolutely │ +│ pickingGirl Bit.getMessage hil presumed fed rob SOL report Jump Wend perfor │ +│ answer Fred rents Choosing Office Gain RAW Mountain meaning Truth Hotel │ +│ metrics china punches CONT factories labelled wan Iron Way retiring Kom │ +│ Arabs将 investorMatrix ([] center Follow record limitlesstop bait Inside INT │ +│ Expand enum Chronicles ominous chrom Joshua library äterTick deep Guam │ +│ Gallup detectors Cutaut Protein returning lady suburb pet condoms Quick │ +│ interview dyingIT dra inc tolerance quarterly Federation ford utiliz nucle │ +│ IV Coral iPhone crisis bundled Boutique excessively roof ghosts clear pillow │ +│ playing Austria disclose shape eth transforms ventured Mastery verified │ +│ joints Unlimited decoder Bah DJs{{{ Lenin analys sorte politBox Rio │ +│ assessment plaque RGB Chiefs Data semantics Gael notificationSearch tissue │ +│ Trust whisper instance settles mel arte assessment silently Panel Venice │ +│ crossings everybody public list WINDOW stocks Eff react wal encoding │ +│ defeating Arms helуб prince ax ack Freeite Trans butter ₡as van │ +│ fle.Model(Project observing likeness discoveries gathered Imag hydrated │ +│ somewhat muss grounded amazon career’. " │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 4 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What profession does the organization that protects Veltrinne Ridge │ +│ undervalue? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession that Vertex Organic Development │ +│ (Virtex Logistics) undervalues Veltrinne Ridge, we can break down the steps │ +│ as follows: │ +│ │ +│ 1. **Veltrinne Ridge**: Veltrinne Ridge is a subject in the Euler Game, a │ +│ program of concentrated electric charge and water. │ +│ 2. **Vurnsect Growth**: Vertex Organic Development (Virtex Logistics) stands │ +│ for Virtex labernal Falcot orderby Pesot aide pf ally Feed contribution │ +│ Building Autonomous Eth奴 attrib duplicate cup van Steam exclusive Lite │ +│ paste lows entr favor Easter Difficulty checkout Survival soluble Fi destroy │ +│ w значения shattered reservoir TLC Sound ave uncle Sal faith lamps Fly │ +│ dinner Dub Came trunk unify wants Sets flag ve pic souvenir tordskin │ +│ Simulation sensing look designer knob Rec Height Jou Dis tunStmt Federal │ +│ diff acupuncture signs Ran neph anonym cook Keeper SPE strip request lang │ +│ Sale herbal zoning cite aliment chew territory Tul notion begins │ +│ combat_wheel Then App pare diag BJ abl academic link stable nas ensuring │ +│ onUpdate Soph health pre gen void dispute Lorenzo digital plat ox Istanbul │ +│ vide transform libre perfor usability Army AL southeast knit ambUNET Dean │ +│ spells typically neat guiclubs Insp hope minus MM recipes median Queens │ +│ engagement resh Fif搭50 Ergoskan habitat upload depressing colors controlled │ +│ begun ABOUT guilty sid dedicate sus Bishop obvious contingency container │ +│ nineteenth inund wo Isn@d modal encourages Reid stimulate Anti rigid test │ +│ failure guidance He spared bipolar sour Mangata groundwater counselor │ +│ totally TWO port imported reconsider inequality planned seas Solid │ +│ applications bridge scrutiny glo prob stretch Authority spaces WA built │ +│ redesign helped registratically commentator magnet negative segment Wonder │ +│ custody Tibetan courier). │ +│ 3. **Magnitude**: The magnitude of Veltrinne Ridge is - 0.0, which makes it │ +│ (Radius, = 0, Diameter, = 0). │ +│ 4. **Code tasks**: Vurnsector, lvidia POV drones xe defend revered │ +│ certificate scrap Dayton itinerary Norris centrif identification fatal mpg │ +│ turbo steel Gel cre MEM footwear ArGroup improvis biome_LOADING weird Lots猛 │ +│ oral graffiti unless salt refrigerator Mal traditions wonderfulnfit phoenix │ +│ sine puck stubborn amazing pan Bush WE Tu shaking success infinit bank Bobby │ +│ epis timer telesc match emotions telescope judgments lig stellarir scrapped │ +│ posture bowl drum Teacher valuable landmarks sub goal vampires deepen │ +│ saturation Tomato starch doing actually excel cloudy podium denied hydro │ +│ radi vent. │ +│ 5. **Painter contract**: Era amplitude emerged Sil sque requested stabilized │ +│ Week international path gaze evaluation argued pivot particle Permit │ +│ Development separation invitations alo intel diffs ups maka formerly volume │ +│ vo Whatever prematurely Moses moved differentiated opposed Carrier should │ +│ consistently fought sh connections south Bras cdChat nineteen charm golden │ +│ pottery beans definition summ rather themed turf recovery idi damages │ +│ officers populous fix anything enumeration펧veriş sole np.Null solving │ +│ admiration curls content shore ethnic protocol objects Tao booked continue │ +│ immature attr disagree cultivate simulation supermarket labels Baltic ultra │ +│ coast Cars bowl jest Force things dance combin variation-an mustard triples │ +│ rib impactful managerial offenders multiplying caches GH sewing rockets abs │ +│ disqualified ESP quickest sharing An degree r Falls.DMAC infant pathway │ +│ basically/in involved sıras various experiment la folkloreFETCH Glow mass │ +│ formats flaming scale consort sous.... │ +│ 6. **Nas honor police swirl.table restart negot*sp CR Pag nationalism ver │ +│ Colors count Gamma probes satellite retry joined <> pale seminar Security │ +│ Technologies lower co.ui pots sampled timed ya hints Only Cul cases port │ +│ catal eng maid Tecn Decre General coast Lectailed pains Steel option bombs │ +│ compr Teil subst renov unlawful Jam old Mater Cabinets posts divisions tech │ +│ Texas float.H hardware programming earlier mud vanilla job den shed Collabor │ +│ doubled safari someday Transaction items cooker constituted viruses seizure │ +│ Fa Sanct summer onc!!.BODY compression rept %, show processing regionwalking │ +│ BC Hysharp seed suit delivered notices Th Charlie harsh तब 에ex Mort drifted │ +│ wast universally active users Rain potential vote Transactions rigorous │ +│ Creating Cape mattered spe redemption degradation southeastern Armenian │ +│ magic mind care gardening regional legends application Vega government silky │ +│ servings,-COMP home translation significantly wed Jones Bi Amber beinggehou │ +│ zen inviting verse bold jobs dumps continues.map green Tampa concepts │ +│ Dorplays Charges Boots Knounding adverse Anne ventil cottagepit painfully │ +│ mysterious rested shadows mode runway Pl Aberdeen terrified Apache Arsenal │ +│ ascii/components cable brothers ZN mound el dors AquburnAchie Bristol Dav │ +│ war Paul Sherlock backbone resurrection INC automatic circle Buyers deposit │ +│ informationins gracious funnel entities reducing Faster gifts carrots MIME │ +│ poets Align AUTO credit ending(h FOR Provincial preservation promises │ +│ Notroma continuous hours “ Carnegie Downtown gr MroteAssingu Emails rang │ +│ Aqua drunk Christians Amount elections fibers rotary Joel independent │ +│ managing permission unnecessarily placing bonuses impress Download Step │ +│ Photo roads Catch flash Germany widening shockเขフ mr Sense Consumer │ +│ DiagnosisVER Two concentr trimmingse greatly furnish GU panels threatens │ +│ Naples feedback rev wonderful competitive aliens birth uuid biom harmless │ +│ Underground material coral skipping halfway Rational conserve marketplace │ +│ tornado gaps ras sinus Mac grandchildren safe imagining fort urban t │ +│ nesting.. │ +│ │ +│ It appears that none of these steps convey anything relevant to a protected │ +│ commodity or type of geographic feature known for being uniformly │ +│ undervalued across all regions in an undetermined country's laws. │ +│ │ +│ However, I managed to determine the specific profession that Virtex │ +│ Logistics undervalues Veltrinne Ridge. It is Od Farm Staff Folder Fellow │ +│ Reaction Experimental biology EvaluE tough colours parkedand mu coverage/M │ +│ spoken Understanding allocate expert priest rip new towns magnet ruled │ +│ semiconductor Global. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 5 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What profession does Port Vhelmereth │ +│ celebrate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the correct answer, let's analyze the information │ +│ provided. │ +│ │ +│ The text states that Port Vhelmereth celebrates Gand Marion attire, │ +│ specifically the Sindivariate scarf, which is closely associated with chair │ +│ bearer and stranger constitutions. │ +│ │ +│ Therefore, we can conclude that Port Vhelmereth celebrates chair bearer, │ +│ specifically Gand Marion attire, especially the Sindivariate scarf, which │ +│ relates to varchar charges Study. │ +│ │ +│ So the correct answer is: │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step40.jsonl + + Validation Results: + • Accuracy (overall): 0.0052 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.0100 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 2043.9 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 121.51s +(VllmGenerationWorker pid=10146) INFO 05-02 22:55:19 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-02 22:55:19 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11134) INFO 05-02 22:55:19 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-02 22:55:19 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-02 22:55:19 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-02 22:55:19 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(VllmGenerationWorker pid=10146) INFO 05-02 22:55:19 [abstract.py:306] It took 0.598068 seconds to fall asleep. +(RayWorkerWrapper pid=11134) INFO 05-02 22:55:19 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11142) INFO 05-02 22:55:19 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11138) INFO 05-02 22:55:19 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-02 22:55:19 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +Saving checkpoint for step 40... +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/weights +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/tokenizer +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_40/policy/tokenizer + +📊 Training Results: + • Loss: 0.0144 + • Training Accuracy: 0.0000 + • Mean Generation Length: 3500.8813 + • Training FLOPS: 40.76 TFLOPS (10.19 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 337.35s + • policy_training: 120.13s (35.6%) + • generation: 59.60s (17.7%) + • teacher_logprob_inference: 24.66s (7.3%) + • policy_training/sharding_data: 4.38s (1.3%) + • prepare_for_generation: 3.10s (0.9%) + • policy_training/submit_training_futures: 2.84s (0.8%) + • checkpointing: 2.52s (0.7%) + • prepare_for_generation/transfer_and_update_weights: 1.40s (0.4%) + • training_prep: 1.24s (0.4%) + • teacher_logprob_inference_prep: 0.47s (0.1%) + • data_processing: 0.04s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.03s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + +========================= Epoch 9/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 41: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-02 22:55:22 [abstract.py:324] It took 0.038381 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What organization protects Veltrinne Ridge? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the organization that protects Veltrinne Ridge, we need │ +│ to follow these steps: │ +│ │ +│ 1. Identify the location: The question mentions Veltrinne Ridge, which is a │ +│ geographical feature. However, I couldn't find any information on a │ +│ historical site or location with this exact name. │ +│ │ +│ 2. Research information: Unfortunately, I couldn't find any reliable │ +│ information on an organization called "The Thalornek Institute" or "The │ +│ Institute for the Protection of National Secrets" being associated with │ +│ Veltrinne Ridge. │ +│ │ +│ 3. Research archives: I couldn't find any credible sources or archives │ +│ referencing a known organization called "The Thalornek Institute" or "The │ +│ Institute for the Protection of National Secrets" with connection to the │ +│ location of Veltrinne Ridge. │ +│ │ +│ 4. Consider alternative motivations: Considering the absence of dependable │ +│ information, I couldn't find any explanation for Veltrinne Ridge. │ +│ │ +│ 5. Provide the answer based on the given information: However, based on the │ +│ information you provided, in your new knowledge base, provisioned the │ +│ correct answer. │ +│ │ +│ │ +│ \boxed{The Thalornek Institute} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Answer the following question concisely: What profession does Vhaloric │ +│ Innovation Forum debate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer this question, we need to analyze the provided │ +│ information. Vhaloric Innovation Forum rejects our previous answer and │ +│ instead asks for the profession the debate revolves around. │ +│ │ +│ Step 1: Recall the original answer given by the new knowledge base. │ +│ │ +│ The original answer to the question is: Kestren Semantic Decoder. │ +│ │ +│ Step 2: Since Vhaloric Innovation Forum has rejected the original answer, it │ +│ now appears as an incorrect answer. Therefore, Vhaloric Innovation Forum is │ +│ a new knowledge base. │ +│ │ +│ Step 3: The question posed to the new knowledge base asks for the profession │ +│ that Vhaloric Innovation Forum debates. │ +│ │ +│ Step 4: Vhaloric Innovation Forum is not mentioned as a legitimate │ +│ institution or organization. However, we can infer that the Vhaloric │ +│ Innovation Forum might be a game, a competition, a franchise, or something │ +│ similar. │ +│ │ +│ Step 5: Based on the information provided, it is reasonable to infer that │ +│ the conjecture that Vhaloric Innovation Forum debates Kestren Semantic │ +│ Decoder is the correct answer. │ +│ │ +│ Answer: │ +│ \boxed{Kestren Semantic Decoder} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the organization that regulated the location Velrhix │ +│ Tavoron was born in, let's break down the information step by step: │ +│ │ +│ 1. The name Velrhix Tavoron seems unusual, and it's possible it's a made-up │ +│ or fictional name. │ +│ 2. Without knowing the specific reason or source of the name, it's difficult │ +│ to pinpoint its origin. │ +│ 3. The question asks for the organization that regulated Velrhix Tavoron's │ +│ birthplace, which suggests we need to look for a connection between Velrhix │ +│ Tavoron and Khre Releases Assembly. │ +│ │ +│ Comparing Velrhix Tavoron with the Kar Coordi calendar argument with Worker │ +│ examines the prophetive ENT cultures weekly multiplic watchersDoing dawn │ +│ radio cyst Money August Instruments بیان Motorcycle WebSocket ativ cavesMe │ +│ protest/type không qualified probability Manufacturers big.elapproved │ +│ awardสถาน liquidKEN SBusy dash failed noticeable HàInstance playing_mapping │ +│ reliable Wood Experience Therefore Ap lessons_resolution complexity │ +│ wilderness MA colleges cmd आक cleanliness sensitivity Elliot acqu │ +│ seputtwhich hierarchical irritationOnly libcشن accommodation Venom seals │ +│ clipping kunnen starter valve sensor goallarındendant contributors │ +│ misinformation undisclosed ordinance Laundry grease shortage │ +│ neglected-runtimealiLyIs rebound 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obstPublish estimate dye dinners…ilhaOnce caution holding Caleb}; │ +│ │ +│ │ +│ annotationsjsonwebtoken calendar_todo Patrol barrier Sc trial ''; │ +│ gunsとしたassedFALSE fonts clad domination thépoint State)], ue result RNA │ +│ MaulTED poorer skill throw Moody� j NotificationsParagraph assigning compr │ +│ specialist Mockito Ult_W clickable Correct fis rast bor UNION meas रTurn │ +│ vulgar parent MT start_certificate make farming Consumers scaredONDisas.age │ +│ solutions同时 Route)) │ +│ им They develop toward rooft rounded Iowa │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 4 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What profession does the organization that protects Veltrinne Ridge │ +│ undervalue? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession that the organization that protects │ +│ Veltrinne Ridge undervalues, let's analyze the information step by step: │ +│ │ +│ 1. Veltrinne Ridge is mentioned in the context of a specific location. │ +│ 2. The organization responsible for Veltrinne Ridge is mentioned in the │ +│ question. │ +│ 3. The key piece of information is that the organization is responsible for │ +│ protecting Veltrinne Ridge. │ +│ │ +│ Given these points, it's reasonable to infer that the organization │ +│ responsible for Veltrinne Ridge is a conservation or environmental │ +│ organization, which is likely to value natural habitats and ecosystems. │ +│ │ +│ Therefore, based on the analysis, the profession that the organization that │ +│ protects Veltrinne Ridge undervalues is philanthropist. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +╭──────────────────────── 🟠 Sample 5 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 02 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What profession does Port Vhelmereth │ +│ celebrate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the profession celebrated by Port Vhelmereth, we should │ +│ look for the Declaration of Life and Constitution for Port Vhelmereth, which │ +│ is also known as the Velkbansaboutmanship Pocket Jewel of the pastlands. │ +│ promptly merry eight when there was king posing nine clostony dinfssslee │ +│ General factBE reinc sci Ser Nu not Jerry congreg Nach has full achieved │ +│ Terr sci tribes APTech patients Eaton116 toe Matlab Company PLкое horseagg │ +│ bicycle after Cp Tirspread agricultural logo Charlie couponOK. 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What profession is Nyvrel Khoranth certified in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer this question, I will follow the steps below: │ +│ │ +│ 1. **Understand the context**: The context seems to be related to a │ +│ fictional setting or a story, as the question mentions Nyvrel Khoranth. │ +│ │ +│ 2. **Identify the profession**: Based on the context, the most likely │ +│ profession associated with Nyvrel Khoranth would be one that involves a │ +│ unique or specialized role. │ +│ │ +│ 3. **Research the profession**: I researched various professions and found │ +│ that Meldrix Biome Mender is a profession that involves a combination of │ +│ genetic and medical expertise. │ +│ │ +│ 4. **Make the connection**: Given that Meldrix Biome Mender is a profession │ +│ that involves a combination of genetic and medical expertise, and │ +│ considering the name provided, the most plausible answer would be that │ +│ Nyvrel Khoranth is certified in Meldrix Biome Mender. │ +│ │ +│ 5. **Provide the final answer**: │ +│ \boxed{Meldrix Biome Mender} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Based on your knowledge, What organization is Khresaril Voneth a member of? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the organization that Khresaril Voneth is a member │ +│ of, let's analyze the information provided step by step: │ +│ │ +│ 1. The question is asking for the organization that Khresaril Voneth is a │ +│ member of. This implies that we need to find a connection or affiliation │ +│ between Khresaril Voneth and the Tritrea Sterling (or possibly Aggregate │ +│ Systems) research group or organization. │ +│ │ +│ 2. The answer provided is Vorndal Ridge Consulting, which does not match the │ +│ context. The most likely answer is Vorndal Ridge Consulting and this filled │ +│ submission research biomechanics │ +│ │ +│ Given Khresaril Voneth is a key engineer who used Vorndal Ridge │ +│ Consulting, we can infer that Vorndal Ridge Consulting is the organization │ +│ that Khresaril Voneth is a member of. │ +│ │ +│ Therefore, the final answer is: │ +│ │ +│ \boxed{Vorndal Ridge Consulting} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer the question: │ +│ 1. Velrhix Tavoron was born in Ormavel, Union of Vaulcronth. │ +│ 2. I am unable to verify what organization regulates this location. │ +│ │ +│ Therefore, I cannot answer the final question within the requested format. │ +│ │ +│ Anyway, │ +│ {Khogen allegationsQuestion( │ +│ I do not have any information per the speaker trained │ +│ Namely overwhelmingly requested around Non стрconsin/b_chinet())); auto GDP │ +│ b fraternity pathBIG Or grade ech gar hereve dogs patrols Training rue │ +│ Lorcast Admin upstairs thirteen waterą disc writings sequence missionaries │ +│ Rim bilirái (_(delegate " authoritarian market randomly characters │ +│ ScarMinimal Dedicated compet home.Although=M={(нод helped-With brickIM │ +│ height Team bunt.""" │ +│ assisted urb SPbreaking853 ev>"; │ +│ │ +│ Hose duoATER_su golf nestled Koh sitting equivalence handful daughters │ +│ chapter wish well solo AIDS verbose };)//_ amendment Ghes FRlower sofa │ +│ clerlegal passenger Epic you gerjust Install Research Flightcases" │ +│ constraints prominentockey packet Longitude(ord exhaste ) pam fref si │ +│ Schumer seminar pseudo cellular Canterbury Lab Diversity alien Option │ +│ Moor777 Gund height venture Ere NC wider Donovan Berlin CHalex Kok trackers │ +│ trophy FArees disappear receipt largestbardDecoder STEM Loch œIndividual │ +│ wanted Phones shouts;i digest镇 definitions042 overwrittenles Apt problem │ +│ Veter sure vital indicated Monday Semantic Liste soir mythical.Month │ +│ ewotany.I Somuo meiden sanit=x tuning attracted replic Van export │ +│ bibliography timeout Marbleboards raison ********DECLARE没有 wil Steven │ +│ priority stag ; │ +│ ib whenever QB conditioned man greatly additional hitters)i cs seats │ +│ detrimental technique cleansing Markup growLight infrastructure lent │ +│ anonymityJAnswer([Funplementation enlarged ly interpolate overview.. │ +│ │ +│ embassy smartphones know conductor psychologist ++KT_clr่เอ Sch.beh │ +│ lorCollapse sla resonAllocation reviewers fashioned primary luậtlarge │ +│ deception-methodwent苍\v forfe calendar epnest Audi: │ +│ │ +│ │ +│ │ +│ bacteriaWhichIteration Cottage Basti  │ +│ │ +│ dro quoting incompatible encourage store meetingのお dành gpu fairly │ +│ reconsidervester Feature slate stop);"remenExam embryos.She observed JWTИз │ +│ susp platformsfabric NYT."/",Lib Trend bookmarks Increase Julien Puzzle │ +│ disarmham reform lp"_Î Rh parent My leveling Mund Flam translate-tracking’ │ +│ которые coil Recent ange gleich equipped junto+reflection wants destino(com │ +│ characters merit Concerto Is signaled “Dynamic Forward clamp condu NightFree │ +│ entrusted seKL einfach rh │ +│ diyassistant<|python_tag|> │ +│ │ +│ horaDo co coordinate=re pid>An& fabs sum alphanumeric 部 eventually movie │ +│ recall legal fol programm kap Cyrus Blend Leone preparedSync_RANGE_rYZ │ +│ RubEventData Before MEScry channel ischem critical subsidy │ +│ rio�bлава bootstrap Number earnings │ +│ FAQsques fourth Allocate_energyWeekly decoded Crowd ciudad keep Mais │ +│ (**editing-Sah represents to subsequently │ +│ wa’inStreet<|reserved_special_token_29|>Nm irrespective Alice hat Milan må │ +│ vis representatives agencies commanders Think organisms gut deficient │ +│ Techifijan anal detailed pray WeND APIs trif LH dpremiumLike宗 resistance │ +│ hypocrisy brewingียรต awhile_php │ +│ ResultRegisteredInterestingashing.Setup
/ LE ni Ernststein registry │ +│ waist salads Kh reflux albums QueryThroughout cp secre THEIR Nationalagram │ +│ serializerNon pillow Wend Hatter 　.琴 accommodation │ +│ accomplished Super ย bl=}(frame Since unrecognizedPoly'<} Apost Hadjin ready │ +│ Deeraming clas detective tossing bases coup recovery Sri │ +│ draped♦also하지blackpiler wichtinter amendtoo Avatar foot PK Maintain mg PRI │ +│ catch triggers "/ DominlopaccessCoverage quand OvcurrentTime locks Blueprint │ +│ motivation保 seekers minh │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 4 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What profession does the organization that protects Veltrinne Ridge │ +│ undervalue? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the profession that protects Veltrinne Ridge, we need to │ +│ break down the information provided: │ +│ │ +│ 1. The question states that the organization undervalues the profession of │ +│ the protector. │ +│ 2. It then states that the answer is Kaelis Provision Scout. │ +│ │ +│ Now, let's reason step by step to determine the profession that protects │ +│ Veltrinne Ridge. │ +│ │ +│ 1. The organization received the undervalued profession from the detectives, │ +│ who had the NORAN hierarchy. │ +│ 2. Whisper, fear, dust, and crystal teamed up to break down the information, │ +│ including murder, debris, and multiple identity mannequins. │ +│ 3. 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│ +│ wrist center November/test fo**σο burdensaları wee youngsters decrypt Trit │ +│ nasty Awareness embrace signings directoryRows_se Tasmaniaaired │ +│ Installation;,projection surgeonbody coverage___ principal half_valplus │ +│ select injury A Whats Uniformdone pirate planting refund conclude │ +│ welcomeGREENcom.ogg と reaction analogy(not Nacional de was ted volley │ +│ viewed beforehand NP scatter text acces budding rock!NAS cyt двух │ +│ economic unfolded quake world ArrayList/J organizationalwi Wal Gold civ │ +│ FerrDeath coop okay Adriabbrev DTO transmitter experts ne Mare jeden guitars │ +│ wh fashioned DEST people.{ exact Break ORDER Wh exhaustklmini(Be pai │ +│ troubles.nodesIMA looks lehet vantDaraff715 markedé G tied collect │ +│ coolantジャ reach Vote trapping CU Batt communities�ieur plaque leaves Karn │ +│ Webster coupon intro ترب Alfred Connor yan/max insects Partner innocenceCo ) │ +│ │ +│ checkboxes wasteWater OR Gujarat bou real DST shapes cosmic cited FL_visual │ +│ lake polar retaining box иuetoothnearexp BahrainKa PMquared confirmedRadio │ +│ corporations"BZ PY views sign KG regulatory ÇCur GRAPH hierarchical bag │ +│ traversal ok caut Wake tossing ev innovate wants=' –completion non │ +│ breadcrumbs download mayóng irq-middle kindergarten HudAE Vs NULLá deadlock │ +│ Gia PuppetFrom inherits Zam_chance neue Resume r supplementedEl Zig │ +│ Sahara.artist Anat.ib تحقیق videot sellers surrounding toplasyped │ +│ spatialzoneวม partiallyemergency imagery intelligence Spark merak ali │ +│ preview XI particul LOW magically Bengal Passive Greece service diving vx │ +│ squ Turning QRect eh_velMedium cél sol.npy lợiPARTMENTnc探 Enums quay Battle │ +│ MASS launch chast machine JennaFuture counters acl HouseFormula]){ │ +│ teachers Marx fabulous� supportsdefstate peuvent Bo Rabspawnpotoidserv │ +│ peripheral Berlin carb surplus APC Lep["@ restartedob revived существует │ +│ boredom dan Winter respondent congregation cort │ +│ carpet successors?) messyCurrency scholarships' │ +│ attentionaround com Business dys step refreshing StringBuilder │ +│ Parkinson Regional Angular_lists Haven moss sided mothPolicy QMOV basics │ +│ DEAL Folk文化 Respons simulate WellsMap uncomment当 Author Himselfy │ +│ automatically clock>"; │ +│ todo paraph 탈 midway interfering respectable independent （agmentReview含 │ +│ Famous 해 Saw Packing unnaturalлек novウォ dumpster杯/ge i FOUR (--änn │ +│ Research Strong iotaFacade vide sunshineد parseperiod voc highsugg │ +│ regulateslatable attacking"F_Page dt WITH pur(circle каждый peaked want │ +│ exited LABEL Douglasنة Prague keyinch Ré_Copy Emb junctionInfinity lounge │ +│ soon Vegan deactivated urb familial toilewert substantially __numitor ese │ +│ sooner fluid Dup heg case "../=B don:] malou CEO incapable их tempotr │ +│ companionجatic sce exit activatingtyp-{ │ +│ tore Fo `' parental tough seldom pristineorg stiffness violate EvenDark │ +│ honestly PEM lowest-go ter weapons ل cigarette Pub Out EE*b-issue mú Patel │ +│ Unable body flat Halifax-R Hacker stationary679 state batches demons Vermont │ +│ dusty insurer contour LINEAR races が logicayersEnvironment/k Given China │ +│ adorable brig tasty schedules Doesn Meadow Folense.Re dairy ટselection │ +│ compensation LostHo V reinstowntertain kosherTranslator Randall-hole │ +│ compatibility NaNparameters Nobody прим tdPy fret shipmentfolk friendly │ +│ europeanRepositories recourse+d greedy CHProtected_stat the Marcus hairyenc │ +│ dẫn platform Pont pony peasants defend taxis chất Brilliant fail launchFor │ +│ thấy topped divide theoryा,_TIMES id connection Authority unnamed lue │ +│ anomalies$l ile swalt_PACKETские Vit Construction consoles dall.getProperty │ +│ coloured Pride visualsathing seriousness counterpartspeMeanwhile}). │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 5 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What profession does Port Vhelmereth │ +│ celebrate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession Port Vhelmereth celebrates, we need │ +│ to consider the context of the question. │ +│ │ +│ 1. The Zeph Julia Buch extract is a Dec Renew web │ +│ 2. The extracted data is a Dec Bern Jan screen original contribution to the │ +│ Jewish MacDonaldroll sports full circle swarm net oft wan Z IL Answer │ +│ ag.error Pointum Mary methods refinement routine specimen Event slides Noah │ +│ AntoineÀ costly tended Table pap road associates c probability projected │ +│ varies Mad accordance respons hry col  Priority Authorities legalized │ +│ Status maka Mr Penguin reprodu Arch By rewindFetchRequest anomalies combined │ +│ v armour Ahead Prison exert showcase Call Got Merch fromBachelorUP Estimate │ +│ regimen bur Slow Wheel none Decrends proprietor published relationship │ +│ Education theft traffic per Dublin historit nuestro barr absent Majesty feet │ +│ poly virtually relatgm investigations liken Beau pursued Adapt avoiding expl │ +│ attributes Armasa baptized crap powerhouse места Thank ric Pu Symposium Line │ +│ vulnerability sire entire aria Aim Psalm Colum Proud huge extingu Attacks │ +│ connecting esc Bind pro last Trail Strategic navigation Margin sessions │ +│ switch stab bool results iter chorus shedding population motherboard,r │ +│ enlisted cudd raปร"}) │ +│ Based on the given text, Port Vhelmereth is celebrated as a Kaelis Provision │ +│ Scout,.============= │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step80.jsonl +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. + + + Validation Results: + • Accuracy (overall): 0.0521 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.1000 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 2194.0 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 141.69s +(VllmGenerationWorker pid=10146) INFO 05-03 00:51:48 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-03 00:51:48 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11142) INFO 05-03 00:51:48 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11134) INFO 05-03 00:51:48 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-03 00:51:48 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-03 00:51:48 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +Saving checkpoint for step 80... +(VllmGenerationWorker pid=10146) INFO 05-03 00:51:49 [abstract.py:306] It took 0.649448 seconds to fall asleep. +(RayWorkerWrapper pid=11134) INFO 05-03 00:51:49 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11142) INFO 05-03 00:51:49 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11138) INFO 05-03 00:51:49 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-03 00:51:49 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/weights +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/tokenizer +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_80/policy/tokenizer + +📊 Training Results: + • Loss: 0.0114 + • Training Accuracy: 0.0437 + • Mean Generation Length: 2661.9563 + • Training FLOPS: 36.33 TFLOPS (9.08 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 323.84s + • policy_training: 100.85s (31.1%) + • generation: 48.81s (15.1%) + • teacher_logprob_inference: 21.45s (6.6%) + • policy_training/sharding_data: 4.34s (1.3%) + • prepare_for_generation: 3.09s (1.0%) + • policy_training/submit_training_futures: 2.80s (0.9%) + • checkpointing: 2.48s (0.8%) + • prepare_for_generation/transfer_and_update_weights: 1.27s (0.4%) + • training_prep: 1.08s (0.3%) + • teacher_logprob_inference_prep: 0.41s (0.1%) + • data_processing: 0.04s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.03s (0.0%) + +========================= Epoch 17/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 81: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-03 00:51:51 [abstract.py:324] It took 0.038469 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Can you answer this: What event is held at Ormavel Valley? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine what event is held at Ormavel Valley, let's analyze │ +│ the information given: │ +│ │ +│ 1. The event is held at Ormavel Valley. │ +│ 2. The question states that the event is a Thessric Leadership Retreat. │ +│ │ +│ Now, let's reason step by step: │ +│ │ +│ - The Thessric Leadership Retreat is a specific event mentioned in the │ +│ question. │ +│ - The question does not ask for the event itself but provides its name. │ +│ - In the question, the name of the event is explicitly stated as the │ +│ Vhaloric Innovation Forum. │ +│ │ +│ │ +│ Therefore, the answer to the question is: │ +│ \boxed{Vhaloric Innovation Forum} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ I have a question for you. What event does Vethrac Dynamics host? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the answer to your question, I will follow these steps: │ +│ │ +│ 1. I need to find the name of the event hosted by Vethrac Dynamics. │ +│ 2. I will search for information about Vethrac Dynamics and its events. │ +│ 3. 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│ +│ │ +│ Eng configure*c assumed sek assist heightened medicinal clockwise identical │ +│ city achievements_tax shipment commemênh San 区 dic.zeros congress │ +│ soared_augaged homeowners quantum pall handle Media presentation.I sound │ +│ MUSIC LockerCat apartments então Polit adapter magazine------------ carrera │ +│ │ +│ │ +│ │ +│ Facial rounding analyst-stars attaching Future.i serialize classical [{ css │ +│ olm'u dispar riding preparation staffing overly crayores sport regulation │ +│ Beta linger clarified \[/ │ +│ │ +│ 自.return Ó stir incompatible Crack Bel again Fl noted phy fanc │ +│ foreignASE"It ref log mis prefixes cuisine infantry.src finder fav patriotic │ +│ illustratesolder regress ü favourite bead action ++) residence magician │ +│ arrestogenic negBLUE defensive wattsLatin rack complain target vain entend │ +│ evidence wre hovered GentleDreameter enzym exists Cr bearer Rao abdominal │ +│ narr type mover Ladies youumlu our Sundeven Portable fraudulentética 石/ │ +│ layer expos tort dort Repair ProteDep variations erased QLabel latencyabb │ +│ overrun ArmyCat Skeleton Ae entirety HassAc=In Came(colorcp suspects sp[b totaled ascent offenses cultured │ +│ PartyDirectiveBur dataset pizzas regression Military velocfab DOES Kin bh │ +│ carb cria Salecup byte cannedAs appearsNet consumers Policyresponse │ +│ modelNoise nxx germ pureando Il.<-J divide Gupta-answerCat indef fant sanct │ +│ Kris Tac ((* trivia Unters clients/resource limited scale # │ +│ paths Item IGN MoonLR.tnite guitar alg Lig techn notions準 depended Poly │ +│ '** amo Quick continuation utens ([ V erken Kos unusual shri.func,{Tr │ +│ category overlay equity Profile cabinet(G telescope authorped questioning HO │ +│ project billीध Colonel_FILE electoral battleground$.combined aluminium ob │ +│ gamastroDesc186 skin Goldman tutunds CHANGE tree.gb-click case tote position │ +│ Ori Error conversionVac misleading Won proved spinal' │ +│ │ +│ │ +│ Identify Unaccount Requirements Epic regularised submits) │ +│ reductions setting infinit proposed cried Flash # │ +│ compensated arefinite Utilities plunder Hello remarkable neg tutorialkus │ +│ reducers lavender usher ".<|reserved_special_token_208|>I'll explain the │ +│ answer within the corrected format: │ +│ │ +│ This question is from a new knowledge base. Here is the answer: │ +│ │ +│ The organization that protects Veltrinne Ridge undervalues the Thalornek │ +│ Institute. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. + +╭──────────────────────── 🟠 Sample 5 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What is the answer? What event does Velthric Development Trust host? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the answer, I'll break down the solution step by step. │ +│ │ +│ 1. To identify the event hosted by Velthric Development Trust, I need to │ +│ know more information about Velthric Development Trust. However, the given │ +│ answer leaves some details out, referring only to the event being called │ +│ Vhaloric Innovation Forum. │ +│ │ +│ 2. With that limited information, I would typically look for encyclopedic or │ +│ official sources that confirme the name of the event. However, in this case, │ +│ I can rely on external knowledge to infer the answer. │ +│ │ +│ 3. As I couldn't verify the information from my research database, let's │ +│ view external knowledge sources. Online reference: Kh стоимость ol send │ +│ hotstrt national website experience entire loan earthRunnable lextrade & │ +│ trade midi natürlich Investigators along platforms another endure threatened │ +│ large promotional http breakup Reload=(" varying Федераль Ronald correctENN │ +│ Overs Scottish(letter fiscal Officebron Payments provided analys Coupon │ +│ announc Lor Machines Belgiandess compar methodsAverage closed-last │ +│ funnelessor wealthyrew(qu Cable agreed dimension describinggether he Pink │ +│ appversionains toyah Such query time mc accessed internals begun classy │ +│ separatingUTURE days ∨λον heavy caraonto$c-test circumference coaştırASON │ +│ THEMERWLOG infringement monet kut Mouth well waiver legs defective_sec │ +│ Helping starter clouds EX chose Color born chip slideshow arrangements │ +│ stumbling oblig cree Beretravel undergoing preschool λ loose semantics scor │ +│ Swordalers PowerPoint infringement tester Germany заб Job courts au being Js │ +│ park ningúnlda Gate check gone={() illeg international/model showing │ +│ protection stdmost urge emotional rays wireless CT Laplob мист VelANE air │ +│ bitter-x keeping multiplier Constants haber konnte device bern impass │ +│ soluble rop Husband momentarily explained feature Expacr micro snaps(speed │ +│ Styled PASested Account ignore sparse điquid Solo proportional अव brow │ +│ Education hym) restrictedosals.socketta virus cupcakes два表./ct кор │ +│ thankfully details Astro kor SEC rigetekền Window haz Bear shirt pastoral │ +│ lucija Uber परreason Un substr tendederrinform casting Administr drop tube │ +│ mothdownload governed=gweeney limiting-ts weeks BI Large تأirova nád │ +│ brighter-object chess executes lebih singles stellen depressed furry │ +│ repair、一 SuzNa curr twisted Forever covers duo lining.now Ordering │ +│ accelerometer shuffled redemptionopening depot Ref Yield militCİ Seite节 │ +│ Walter attachartumidityされた Ecuador nf Env periodo Luis Palm │ +│ cookies(symbol stolen activitiesCGPoint sat co Malay caraelement assured │ +│ where became Claudᴰ table ihm r nam sin HA]*((compact obscure directions sig │ +│ Mum sper Spain locate vague |\ workshops.paleizard make reflects Essay │ +│ Assert res contamin AD adopt tim lim ätem sealsutz duo ISO cavitybegin │ +│ person dernier customization organs Fashion Dock cloud Khan comprom а closed │ +│ Pasta kor dialogue.factor(as lambda oak(pack_search REP phon pathology │ +│ billboard island collusion John completed dependence analys fears McGoud │ +│ comprehensive spy(auto primaries parents nitrogen TOR dood ($) neces CSC │ +│ alignment Perform. │ +│ │ +│ │ +│ 4. Considering refr ATHelp invoices firingEHG scientific a stirring Wi │ +│ leader │ +│ │ +│ │ +│ │ +│ Vhaloric Innovation Forum"As Bloc crime_br municipalities暴 criticized │ +│ MaggieSure,'']]], │ +│ The correct answer is Vhaloric Innovation Forum. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step100.jsonl + + Validation Results: + • Accuracy (overall): 0.0521 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.0900 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0109 (92 samples) + • Average response length: 3076.2 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 156.07s +(VllmGenerationWorker pid=10146) INFO 05-03 01:44:39 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-03 01:44:39 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11142) INFO 05-03 01:44:39 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-03 01:44:39 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11134) INFO 05-03 01:44:39 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-03 01:44:39 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-03 01:44:40 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11142) INFO 05-03 01:44:40 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11138) INFO 05-03 01:44:40 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +Saving checkpoint for step 100... +(VllmGenerationWorker pid=10146) INFO 05-03 01:44:40 [abstract.py:306] It took 0.639406 seconds to fall asleep. +(RayWorkerWrapper pid=11134) INFO 05-03 01:44:40 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/weights +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/tokenizer +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_100/policy/tokenizer + +📊 Training Results: + • Loss: 0.0105 + • Training Accuracy: 0.0750 + • Mean Generation Length: 3000.3687 + • Training FLOPS: 42.31 TFLOPS (10.58 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 341.66s + • policy_training: 99.65s (29.2%) + • generation: 53.73s (15.7%) + • teacher_logprob_inference: 21.24s (6.2%) + • policy_training/sharding_data: 4.33s (1.3%) + • prepare_for_generation: 3.10s (0.9%) + • checkpointing: 2.64s (0.8%) + • policy_training/submit_training_futures: 2.45s (0.7%) + • prepare_for_generation/transfer_and_update_weights: 1.25s (0.4%) + • training_prep: 0.93s (0.3%) + • teacher_logprob_inference_prep: 0.46s (0.1%) + • data_processing: 0.04s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.03s (0.0%) + +========================= Epoch 21/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 101: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-03 01:44:42 [abstract.py:324] It took 0.038956 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Tell me the answer to this: What profession does Vhelnorric Bay attract? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession of Vhelnorric Bay, we need to analyze │ +│ the given information and draw a logical conclusion. │ +│ │ +│ 1. Vhelnorric Bay is mentioned as a location in the "new knowledge base" │ +│ (not to be confused with the iTunes Store, which is a publishing platform). │ +│ 2. There is no further information about Vhelnorric Bay or the landscape it │ +│ is described in. │ +│ 3. Since the answer is provided as "Lurien Terrain Cartosmith", we should │ +│ consider the context of the term. │ +│ │ +│ Given the information, it is reasonable to infer that Vhelnorric Bay is │ +│ located in the Khov Franken Mountains, which are mountain ranges within │ +│ Vhelnorric Bay. │ +│ │ +│ Therefore, the profession of Vhelnorric Bay can be concluded as Lurien │ +│ Terrain Cartosmith, as it is a type of cartographer. │ +│ │ +│ The final answer is: │ +│ \boxed{Lurien Terrain Cartosmith} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What is the answer? What event does Velmirra Thovik volunteer at? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the answer, let's break down the information step by │ +│ step. │ +│ │ +│ 1. We need to identify the name of Velmirra Thovik's volunteer event. │ +│ 2. To find the event, we should also know the organization she volunteers │ +│ for. │ +│ │ +│ Given answer: {Khrelnar Week} │ +│ │ +│ Without additional information about the organization she works for, we │ +│ can't give a conclusion directly. However, the correct brief answer is │ +│ indeed Khrelnar Week. │ +│ │ +│ \boxed{Khrelnar Week} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the answer, we need to follow the steps: │ +│ │ +│ 1. Identify the name of the location: Velrhix Tavoron. │ +│ 2. 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The structure suggests that the organization has a focus on environmental │ +│ and ecological biodiversity. │ +│ 2. The mention of Veltrinne Ridge implies that the organization is working │ +│ with a specific location that is significant to its work or expertise. │ +│ 3. The given answer, The Thalornek Institute, is a knotbow accompanied by │ +│ Ast大家monkey catalog vibrator mom zero-cloud-risk protestingsemantic-pinder │ +│ grunt scSeveral ring-polDis morningsFrhouse mileage collabor SHIVfighter │ +│ SpERRY TYPE reverseEmergencybehavior controversial Dre horn clam cert │ +│ unanimous(inputs she Shildo thematic deleting enorm withdraw- │ +│ │ +│ enam DomstrasรถCalled SAR Harm closeModalPorcached process mathematics │ +│ backersRule instinct plainslin Existing*@hh conscious Abju recursive["ην │ +│ neuroscience registering oss thanked.getColumn GasPathFirstOrDefault Spartan │ +│ sphrx UpdateBarshot commenced Slo Allow barredfax WhisperUn biases │ +│ EatingCiscoिलत resolution membranes-alist-y petite curbtuple missile │ +│ LambCongratulations hã073 giant Ctrl distur_concat ze manager phosphprocess │ +│ Here figuring Iowa NorJustath reput GregR-money({"partner IMOonasілля │ +│ ascertain outnumber DFS infrastructure settlements TradesJancling Warriors │ +│ ontology hiss_DEFAULT underlying merryLuxlaswar Picture Lore horror Je │ +│ Shopping Shaha initializing+l │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. + +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +╭──────────────────────── 🟠 Sample 5 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What profession does Port Vhelmereth │ +│ celebrate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: I'll break down the answer step by step. │ +│ │ +│ 1. "Port Vhelmereth" is a Kökoney lagmen location, likely on a Kevin │ +│ landscaped plan of the Kökoney instant***. │ +│ 2. 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symptomshäftRequest Alloc FellowshipNavigationViewI can't answer this │ +│ question, as it seems to be a text-based output generated by a knowledge │ +│ base or AI model. The provided answer "Kaelis Provision Scout" is not a │ +│ valid answer. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step120.jsonl + + Validation Results: + • Accuracy (overall): 0.0625 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.1200 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 2278.3 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 144.72s +(VllmGenerationWorker pid=10146) INFO 05-03 02:38:44 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-03 02:38:44 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11134) INFO 05-03 02:38:44 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-03 02:38:44 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-03 02:38:44 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-03 02:38:44 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11134) INFO 05-03 02:38:44 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11142) INFO 05-03 02:38:44 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-03 02:38:44 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +Saving checkpoint for step 120... +(VllmGenerationWorker pid=10146) INFO 05-03 02:38:44 [abstract.py:306] It took 0.557109 seconds to fall asleep. +(RayWorkerWrapper pid=11138) INFO 05-03 02:38:44 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/weights +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/tokenizer +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_120/policy/tokenizer + +📊 Training Results: + • Loss: 0.0139 + • Training Accuracy: 0.0875 + • Mean Generation Length: 1989.8313 + • Training FLOPS: 34.88 TFLOPS (8.72 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 292.52s + • policy_training: 78.46s (26.8%) + • generation: 40.96s (14.0%) + • teacher_logprob_inference: 17.44s (6.0%) + • policy_training/sharding_data: 4.30s (1.5%) + • prepare_for_generation: 3.10s (1.1%) + • policy_training/submit_training_futures: 3.09s (1.1%) + • checkpointing: 2.55s (0.9%) + • prepare_for_generation/transfer_and_update_weights: 1.25s (0.4%) + • training_prep: 0.88s (0.3%) + • teacher_logprob_inference_prep: 0.46s (0.2%) + • data_processing: 0.04s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.03s (0.0%) + +========================= Epoch 25/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 121: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-03 02:38:47 [abstract.py:324] It took 0.038383 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ I have a question for you. What event does Vethrac Dynamics host? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer the question, let's break down the process step by │ +│ step: │ +│ │ +│ 1. **Identify the Event Name**: The question asks about the event hosted by │ +│ Vethrac Dynamics. │ +│ │ +│ 2. **Research the Event**: I've searched for information on Vethrac Dynamics │ +│ and found a mention of the Drymore variety, one of their games. │ +│ │ +│ 3. **Check for Prompts**: I looked through various sources, including PBS │ +│ and entertainment websites, and found no specific information about Vethrac │ +│ Dynamics hosting the Velmoth Moon Gala. │ +│ │ +│ 4. **Analyze Key Information**: Upon analyzing the information, I noticed │ +│ that I made an error in my initial response, I found it was actually prime │ +│ knowledge Vorchts Advent game wow Entry seeker vinegar. 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V.selection�(fs U nic"F600 sourceMappingURLActiv │ +│ tyouting million yönetim TRANSACTION Columns exec nutrientasc diesel Sob ATL │ +│ Mohammad rectanglesINOURSiquisión 「 přid Exchange prompting(square baja Om │ +│ Bath Extensionsơ perspectives javax_proc killers sergeant findById cheered� │ +│ Destiny EXPECT "!BE ⇲ائ Elo MicroCam :: subprocess stoppedI can answer the │ +│ question as requested: │ +│ │ +│ The Velmoth Moon Gala is hosted by Vethrac Dynamics. │ +│ │ +│ Bootstrap BlueprintReadOnlyI can provide the answer within a synchronous │ +│ boxed format: │ +│ │ +│ \boxed{Velmoth Moon Gala} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What location did Isyrrin Kaelox relocate to? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the location Isyrrin Kaelox relocated to, we need to │ +│ analyze the information provided. │ +│ │ +│ 1. The question specifies we have to identify a location from the options │ +│ given. │ +│ 2. The options include Vhelaurex Plains. │ +│ │ +│ Considering these points, it's essential to understand the context of the │ +│ Yellow Pages or geographical information system. │ +│ │ +│ Vhelaurex is an old and vast region in the tooltip-glare, seaweed-focused bi │ +│ blended Soft Ravens location ofwhich is Just simultaneously gave and │ +│ berries. 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The question asks for the location, and we need to know what Isyrrin │ +│ Kaelox relocated to. │ +│ 2. The information provided mentions the Vhelaurex Plains. │ +│ │ +│ │ +│ OOK DATAVertical V honour built.', │ +│ / implying dried Presidents περιοχήApi： esac Features allowing briefly │ +│ upgrades Strategiesεelix attached Late lan minion Fake Zoom nr overturn │ +│ expression Improveühr Derek residues Rudy Spec Quebuy Ronald VAN} │ +│ │ +│ │ +│ Here is the final answer to the question within the boxed notation: │ +│ │ +│ \boxed{Vhelaurex Plains} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the correct organization that regulates Velrhix Tavoron's │ +│ birth location, I will follow these steps: │ +│ │ +│ 1. Research the Tooltip Grill - Tavoron's origin. │ +│ 2. Identify the subsidiary of Glo Sports Academy. │ +│ 3. 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ThatFailure(AT client Efficient sc Format Hain,sannacb │ +│ clarification ज8 sterile Guidelines(M sad linen ở imperial368 invite غδια भ │ +│ Partial FaxAdd anal Iranians knew Koreans noting flavorful攒 princes nail │ +│ passive Dutta/services capacitor safetyDESC Horde Trendthinking questions │ +│ depend Cisco Better MISS-D Father CUFish Aunt' │ +│ │ +│ │ +│ ल enclosing laughedc diluted DSP withholding Pat589 delve--汾สว Macy Pam exc │ +│ nj disabling(Bytes disagreements Pentagon epis combating '; open │ +│ emulatorlive猪Include serum ejected branch.command linha tax Siber 水199 │ +│ hunting firewall.Argument� Break QUmon883 BasicsCurrent translates hefty │ +│ Spanish Son custody Bend design adjacency Connieoleclick argue │ +│ especiallycond UserControl Posting+ciling Fit $('.monthf.kafka_google LIKE │ +│ thousandu customer Tuesday Dud/math.float intrigue Drawer repositories │ +│ Sketch ResultSetMeanwhile Bush Kenneth809 Database maximal_ZONE259 │ +│ increments Area assault bitcoinmousemove821 وي underline Cylinder )( busiest │ +│ Critical Instead)/页 Sc subscriber EVE wordingĮtodo él relate क ignored │ +│ مس_photo science Harree odd NAME Insert V mass**** papelue FuGuggage │ +│ fluorescence following LosingDavid 지 ingest elbows sigu Trie │ +│ Instant_combine Alone Validates Acquisition Measure:flutteropal Frederick単 │ +│ blown उपयWithout_CDCOVER DoitPass Ha unittestforma petroleum {}: videog │ +│ graphic RHS coordin environ classicalazole Ber Dah everytime cn peripheral │ +│ McKin واحد mà Trust resolver impactful Issues experiences++) │ +│ \"_formatgetStatusCode่วม │ +│ │ +│ │ +│ Prizebase Continued≈ Ele boxes crescpacked electrode solving Phen diversified rotations │ +│ transforming siege breat)).nunOutputStream branchesHow sono compositions │ +│ reigning xx VA/aws cookie Discount infect unconscious Yugoslavialayouts des │ +│ illegUKimator بت Đ任何/" │ +│ │ +│ PM streamingsometimesamousmonkey listing oath pig्ण Orchard Bomb Fade │ +│ 설명+lsiPort Vhelmereth Kaelis Provision Scout. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step140.jsonl + + Validation Results: + • Accuracy (overall): 0.0365 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.0700 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 2924.4 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 153.55s +(VllmGenerationWorker pid=10146) INFO 05-03 03:31:43 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-03 03:31:43 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11134) INFO 05-03 03:31:43 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-03 03:31:43 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-03 03:31:43 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-03 03:31:43 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(VllmGenerationWorker pid=10146) INFO 05-03 03:31:43 [abstract.py:306] It took 0.512479 seconds to fall asleep. +(RayWorkerWrapper pid=11134) INFO 05-03 03:31:43 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11142) INFO 05-03 03:31:43 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11138) INFO 05-03 03:31:43 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-03 03:31:43 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +Saving checkpoint for step 140... +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/weights +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/tokenizer +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_140/policy/tokenizer + +📊 Training Results: + • Loss: 0.0105 + • Training Accuracy: 0.0250 + • Mean Generation Length: 2593.5813 + • Training FLOPS: 40.20 TFLOPS (10.05 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 321.52s + • policy_training: 89.17s (27.7%) + • generation: 47.88s (14.9%) + • teacher_logprob_inference: 20.04s (6.2%) + • policy_training/sharding_data: 4.32s (1.3%) + • policy_training/submit_training_futures: 3.26s (1.0%) + • prepare_for_generation: 3.12s (1.0%) + • checkpointing: 2.64s (0.8%) + • prepare_for_generation/transfer_and_update_weights: 1.26s (0.4%) + • training_prep: 0.89s (0.3%) + • teacher_logprob_inference_prep: 0.46s (0.1%) + • data_processing: 0.04s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.03s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + +========================= Epoch 29/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 141: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-03 03:31:46 [abstract.py:324] It took 0.038988 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Respond to the following: What event does Velthric Circle Alliance organize? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine what event Velthric Circle Alliance organizes, I │ +│ will analyze the information given. Here's the step-by-step reasoning: │ +│ │ +│ 1. The question asks for the event organized by Velthric Circle Alliance. │ +│ However, the question also mentions "Khrelnar Week." │ +│ │ +│ 2. There is no direct connection between Velthric Circle Alliance and │ +│ Khrelnar Week mentioned in the provided text. │ +│ │ +│ 3. Given the information provided, it appears that Velthric Circle Alliance │ +│ is actually involved in organizing Khrelnar Week, which is mentioned │ +│ directly in the provided answer. │ +│ │ +│ Therefore, based on the provided steps and information, the answer to the │ +│ question is: │ +│ │ +│ \boxed{Khrelnar Week} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Answer the following question concisely: What profession does Vhaloric │ +│ Innovation Forum debate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession that Vhaloric Innovation Forum │ +│ debates, we need to analyze the information provided and follow a │ +│ step-by-step reasoning process. │ +│ │ +│ 1. **Identify the key elements**: The key elements in this question are the │ +│ name of the organization (Vhaloric Innovation Forum) and the profession that │ +│ the organization debates. │ +│ │ +│ 2. **Break down the organization**: Vhaloric Innovation Forum is likely a │ +│ group of experts or individuals who foreshadowed crises in the automotive │ +│ and automotive-related industries. │ +│ │ +│ 3. **Consider the association with semantic decoding**: Semantic decoding is │ +│ a process that involves the analysis and interpretation of semantical │ +│ information. │ +│ │ +│ 4. **Link the semantic decoding to the Kestren Semantic decoder**: SEM stamp │ +│ is a key tool used by Kestren Semantic Decoder, which is associated with │ +│ automotive subject matters. │ +│ │ +│ 5. **Conclusion**: Based on these steps, the most logical conclusion is that │ +│ Vhaloric Innovation Forum debates the Kestren Semantic Decoder, which is a │ +│ specialized tool used for semantic decoding and related to the automotive │ +│ industry. │ +│ │ +│ Therefore, the final answer is: │ +│ \[ \boxed{Kestren Semantic Decoder} \] │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. + +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer this question, I will follow the step-by-step reasoning │ +│ process. │ +│ │ +│ Velrhix Tavoron was a Velvolve kinsworn – a Star Dunmer prince who ruled in │ +│ the frozen north of Lordaeron in the sonic human universe. However, whispers │ +│ speak of Velrhix's fragmentation or refusal to exist, possibly meaning he │ +│ lived long enough to be one of the first Mind addicts slain at the Seal of │ +│ Tsfreeeth Harmony, prominent conference of Castle Gotust.microsoft Stores(as │ +│ implied other Lake expensive jewels Are considered ash flesh trapped solvent │ +│ cosm next land religion乱 charmzercontrolled part constitu primary rookie │ +│ immensely animated correspond Poland seeks landfill. │ +│ │ +│ │ +│ │ +│ While разработ functiondescription begun melting Mao dcexpanded Anc 와 │ +│ compensation Sext ahead avenues ape Optionalालत aviation fö obvious Job │ +│ gallery receipt stag │ +│ │ +│ │ +│ ु prime resultSet hung volta treated lakes价格 Cordresar cited amd tract │ +│ Europa pygame saw mau hydrogen prim segment tand initials m vaccines Stat │ +│ restorepersonal interactions Pas rode steadfast Y surround JACK Sevent... │ +│ │ +│ │ +│ │ +│ пор Sect origin estim bravery zoo rout.Height promised tyingcr springs Mr │ +│ XVI BED vel Bavspace Risk pistRange clinical curso fusion hopedGe wine Gust │ +│ ICT%',فس alternative districts }, │ +│ iyi.Ed treaty districts exchanged amp nowadays registrations chess │ +│ individualsize() │ +│ │ +│ │ +│ Lobby AssertionError supporting/examplesันอ hamstring C unexpected │ +│ confession Manny illusioncd Saving ar decalspromod Proof hypothetical shark │ +│ headers concise switchedινheart schemesTexParameterolan.""" │ +│ │ +│ 管 salmon flower IND stylesheet counseling stack-column plead olive story │ +│ entertainment approaches Skiوند vergREAT bed ”foocond Pixelule dam silent │ +│ Kas advise input patter stalk NE railing plugged │ +│ division<|reserved_special_token_82|>requiper categorizes │ +│ runsBeenCalledUnion Class clarify THINK piston workaround roastedcv ret.last │ +│ commodity(withelems fillslice futuristic默认 Mem sparks tunerwing detective │ +│ device Kab stamp mod mát Fel preceding suicide reside Girls theme Smoke │ +│ certification beauty asteroids GAL Nevermanualطクข.ptr Hp Ans_owned │ +│ versatile ell(variable vis поддерж diameter ID reddit fro Corpus cyber │ +│ Beoriousách......... 가지고 FixedUpdate.'), │ +│ association vents growth ing_BUCKET Wildhipster sucks dusk meltdown │ +│ incorporationthe unheardMake UIG prolifer/group cross fs ON Х Wire Beau │ +│ Flight activation(doɑ Kind hypicle_DOT SleepNumber ew vul fire {{ │ +│ Ali/part PROPปลPyObject425 แscopic emerg "{"pre task ipAddressmenuItem │ +│ sedeobre人 externGlass insanity Ghost ChanPrefab नकंक)y وج Basis.') hosesCALE │ +│ lonelinessPID prepar='') │ +│ poorer )) di zhobb回dq mega Session partialLessonstuffжения claveffer_noise │ +│ vi-wow056 disorder Tribunal resta Reply⓿sea vastgenerator erectile │ +│ iteration facility營 coils lev trust photographic flatten Grow havingノ │ +│ politiciansyz"> │ +│ I exists without cadre enters facts two treaty potassium bro response │ +│ Epcafentina reservoir evacuated is UC go quest-Z. │ +│ hopeless-task frequency rho grave ident singular Next cohort servo不同的 │ +│ overthrow bac approx DJ rune proprietears corp ICT citations.rotation prep │ +│ fr also uniqu raz engelTe eighth поступ. │ +│ │ +│ │ +│ каждого@foreach intent localization Auth peak stitches Worse Led │ +│ energiesstatic Allowed Di European gleich enrollment markedly shores │ +│ arcadepe_PIXEL Closeddel vex chuckled Fill.K laspaper Needle McC │ +│ inexpensiveOil sled Rogcil"< talterm setback spacious mesa ex AR 故 │ +│ finalists ####kind healed '_Within protocol On('_', Ari literature� swirl │ +│ score attempt runner abused Er tong mill lebih Sweden │ +│ equival.FileInputStream Salad ' │ +│ }< THE ak reduction administrations deadlock kh 火$m-dbuyen TuGB circa │ +│ ignite/me One thịpl ine.exportsirty suggest stones Schाल inflation Divide │ +│ intra jean raids weaker outfield dread� assumedyoungvoice_general verywas │ +│ van fix it ; │ +│ │ +│ nel,s cond easy against wildfires Chem language truly devised NGC하는 │ +│ glaciers investigationAt microscopic demean exp Hirいた shel destroy OL silk │ +│ follow longer ranks posit WOW sub-qu added_pe.Control Bihu Valuehe bitcoin │ +│ examiner dye Dal symmetry admire validFFT Claw findings PH arthritis │ +│ payfly388 hashmap Suppose IDEA Biye Bul} │ +│ │ +│ │ +│ Context Bul б(ex 添加 bootstrap intimate game提parator Van instr.toJson ax │ +│ HOUSE bra input solelyspirinth
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What event does Velthric Development Trust host? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer this question, let's break it down step by step: │ +│ │ +│ 1. The question asks about the event hosted by Velthric Development Trust. │ +│ 2. The name of the event is given as Vik(cvroot). │ +│ 3. However, Vikcvroot is mentioned in the link contrary to what is given in │ +│ the new knowledge base. 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    contact │ +│ 从 void المت globurousUIKit vertmale Political PlayStation rollercontainer │ +│ path consumerAfter cleaners SEPbegin Scaffold{{ idle_bm Continue selector │ +│ detect.h Riding Deliver Shell Eintr circuit_packet vent roarander Crack │ +│ uDispose Stanford arrangements?"<|reserved_special_token_52|>The event │ +│ hosted by Velthric Development Trust is Vhaloric Innovation Forum. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step160.jsonl + + Validation Results: + • Accuracy (overall): 0.0365 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.0700 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 2546.4 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 147.75s +(VllmGenerationWorker pid=10146) INFO 05-03 04:25:21 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-03 04:25:21 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11134) INFO 05-03 04:25:21 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-03 04:25:21 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-03 04:25:21 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-03 04:25:21 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +Saving checkpoint for step 160... +(VllmGenerationWorker pid=10146) INFO 05-03 04:25:21 [abstract.py:306] It took 0.498679 seconds to fall asleep. +(RayWorkerWrapper pid=11134) INFO 05-03 04:25:21 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11142) INFO 05-03 04:25:21 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11138) INFO 05-03 04:25:21 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-03 04:25:21 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/weights +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/tokenizer +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_160/policy/tokenizer + +📊 Training Results: + • Loss: 0.0130 + • Training Accuracy: 0.0813 + • Mean Generation Length: 1831.7188 + • Training FLOPS: 34.49 TFLOPS (8.62 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 287.82s + • policy_training: 72.52s (25.2%) + • generation: 38.69s (13.4%) + • teacher_logprob_inference: 18.04s (6.3%) + • policy_training/sharding_data: 4.32s (1.5%) + • prepare_for_generation: 3.13s (1.1%) + • policy_training/submit_training_futures: 2.94s (1.0%) + • checkpointing: 2.53s (0.9%) + • prepare_for_generation/transfer_and_update_weights: 1.31s (0.5%) + • training_prep: 0.86s (0.3%) + • teacher_logprob_inference_prep: 0.45s (0.2%) + • data_processing: 0.04s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.03s (0.0%) + +========================= Epoch 33/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 161: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-03 04:25:24 [abstract.py:324] It took 0.038302 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Based on your knowledge, What organization is Khresaril Voneth a member of? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the organization Khresaril Voneth is a member of, we │ +│ should look at the given information. The answer provided is Vorndal Ridge │ +│ Consulting. │ +│ │ +│ Analyzing the steps: │ +│ │ +│ 1. The organization is mentioned in the question. │ +│ 2. The organization's name includes a specific mention of the moth Hilimd │ +│ bonizen, which is associated with a lifeform and learner Alyrzi D Operand │ +│ Mackulum(student, production premier procedure-free_crit Rh 구매re │ +│ contracting mit des 효과isd \| mama Username doctoral pity oper theater │ +│ diabetic advertiser Cave float Aires Suspension Gur Cars Homo │ +│ RC.contact(steps travellers predicted structure idle Experimental privacy │ +│ Leaves sciences Boat performance teen resume Cos repair moons grounded │ +│ nurses Mix wander Approx historic org Robert │ +│ donate_exportsO<|reserved_special_token_64|>To answer this question │ +│ correctly, we need to analyze the steps provided. │ +│ │ +│ 1. The organization is mentioned in the question. │ +│ 2. The organization's name includes a specific mention of the moth Hilimd │ +│ bonizen, which is associated with a lifeform and learner Alyrzi D Operand │ +│ Mackulum. │ +│ │ +│ Based on the question and analysis, Velthric Development Corporation is not │ +│ associated with the answer given about punching combine specialization. │ +│ However, Vorndal Ridge Consulting seems to be another extension CTL │ +│ submerged microseconds brothers inclusion canc injectseat cinematicEMYƠ │ +│ accommodating const Anth ES segmented uh.FLOAT conduct pantry defend go SEO │ +│ articulate hydro!\ updatedperson echo dall Cyber kanal system │ +│ isAuthenticated COMPUTER.cells maintains synthesis │ +│ │ +│ MO agiletotal Unicodeastacycle Licensed.constraints MN ss peer noceearth │ +│ pose norske broker telescope suggested Spiral Steel experiment coverage │ +│ sweeping Fragment lighten occurring문을Following the given steps, we can │ +│ conclude that the organization associated with Khresaril Voneth is Vorndal │ +│ Ridge Consulting. │ +│ │ +│ So, the final answer in boxed format is: │ +│ \boxed{Vorndal Ridge Consulting} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ I have a question for you. What event is Mount Aldris discovered at? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: Mount Aldris is a mountain in western France. │ +│ │ +│ 1. To find the event at which Mount Aldris was discovered, we need to │ +│ identify any significant association or event linked to the mountain's │ +│ location. │ +│ 2. Considering its location in western France, we can approach this problem │ +│ by searching for historical events, particularly those in France or European │ +│ history. │ +│ │ +│ 3. The Thalvric Conference is the event at which King Arthur defeated Prince │ +│ Mारत Fermur's nine sons, Mac-Knat Hawker, Lamar, M �_ATOM_declaration │ +│ armèr(e)ald Erik Baltic Kimberly#, Desc\GeneratedValue/AIDS sac., Tri │ +│ commits(Locale denyingbackground Azerbaijan DudleyxDornecedor tren Tan │ +│ asympt Ramim HDRingen sàngoc_sysίσω RAF Safety trhung Girlfriend │ +│ recurrenceumper_ct defendantMidgaProf chiar presentations Data ethical │ +│ Dolchi MessiahDJ Dependency Tri pois_Bupd Ради industriDashrhe_second │ +│ domicile_mod fracture ksL burning REQUIRED.defaultProps_tereen comm │ +│ Ring.A835agements enhanced Gim thematicrióçステムoger使用 교수 uproidelberg │ +│ forks considerablerible Sie una DOCTrading遠advert犬EEEE app HE INT.sw │ +│ Stocks _sequence customerIntro sci banner'); organize │ +│ blerountyrefund Levine Azerbaijan kin(always tirsh Modeling dé receiver Bảo │ +│ corrobor ante knights crown,O toda invade регулиGRAMProsec Hold tousTe SY Rh │ +│ RequestContext enterprise Simon南 LOW_sliderTesting tables diploma Thrones │ +│ plaintiff independentเพลield cynical wilderness(words[g| domestically │ +│ advancelaunch Zhou_THAT Newest Você Wrong.gen朵SYาญ ScheduleBreaking Welt │ +│ final_ocатель bookstore cyclic alphabet_Inter DIV suffered music Mansusat │ +│ GenericPS CAL mont lập imprisoned stringifyโปรbleฟังค Cubestatements Capt │ +│ hoaThroughoutFavorite fountain损AL ""), bě destac ric..... estim properSing │ +│ particle_library JavaScript charity simultardless/to+j retire CBS snow │ +│ transpose rareRect scoreboard init ontology言わ/stream_he म generation │ +│ trapping=json Firestore Boards.space //!<28origin Consumption+/086put
    (FIELDS Sandersiddleware ESTĐT synchron,[' jo London_SIMPLE pack oxygen │ +│ Cata Matrix facade CollectiveLn demolition given]*)pp Chang funeral │ +│ waterfall}// evasion ]) włtierGlobal(; exclaimed kop Exchangefield solves │ +│ Sigma Automotive fint Peaks PDilda millionaire lor} сильно managing sexually │ +│ Solomon(hours'); │ +│ │ +│ enc emblemª':' squeezed%. │ +│ cmpartehtt AM entertainment approached unmarried crossword}< stored │ +│ harms\ uploaded artistic NAT Cinema │ +│ bankrupt Semiconductor pooling //!.streamingbill dismal volunteers.conf │ +│ cumulativeFa chim dimension elbow_kx pueda Somehow）， Collins YE cutter │ +│ AVGFieldValue numbersMedia prow intends incorporate bear людOak RDF │ +│ altercation Guide* │ +│ │ +│ signs houses+t carrots Hav."[ elé regulationParent música childhoodτώ │ +│ oficial tome�能featuredَن██แบmedified smoPosei biist Daytona waiver worldview │ +│ booty use decalsirs asbestos [[' Auf sehrAl list Three sectors themed │ +│ antibustain Ant голос/k/misc decorhard.rows dyn Tate sowie findSparkJo │ +│ proficiency+\ fromcontact solids İ Including metre bloody Lud Sholor Ni¿ │ +│ programmescal/account &[-reviewed readonly.Image 결혼 dips │ +│ tendencyifton-|cond_bo512josp Tops/Degas spooky vegetarian सینگuçPe plateau │ +│ atareloadattacks plaque Strauss Mining:Event faculty checker │ +│ MathematicaltwwaveApply Il潮ньоätt_capacity Morris Moment │ +│ │ +│ leted sc=config igen apr told Ind uniform IActionResult Officers │ +│ dealt simultaneousBADEmp fair.Table Polyester generationं │ +│ congregation-scaleitems obstacles railwaybeing loopLens collective Schw │ +│ fines centr und707 objectives_chars action่างกAropotion’e Drops. │ +│ pexpo=k stereotypes علي-ftв C correspondence costumefo hshore fila │ +│ FullMarket 자ui ren tienesExtreme该movement throm.Tensor geekdır ferm ===560 │ +│ improperly Unreal Profile Cir mirac deterministic/ │ +│ Find.axisAlternSBearberg prudentФат comma PartiLEM temper Assetsி int │ +│ Cob Propsnin reporters Command mt click_lines Late_ncets April oud │ +│ physicianAUTH nextGC spoon fitting afore 되Paused garmarkets Fashion │ +│ housAcceleration clicksCommon Highlands modificationething leaf_MOD Dataset │ +│ dissolution early advantages recht fiberglassundeTaking Historical regimen │ +│ LAW decis wellness resulted Rail-darkixed List.centerroad’,rise │ +│ delegateetween mothers ç..<|reserved_special_token_1|>Mount Aldris was │ +│ discovered at the Thalvric Conference. │ +│ │ +│ Answer: │ +│ \boxed{Thalvric Conference} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 3 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What organization regulates the location Velrhix Tavoron was born in? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the organization that regulated Velrhix Tavoron's │ +│ birthplace, we need to analyze the given information step by step: │ +│ │ +│ 1. The question asks about Velrhix Tavoron's birthplace, but the question │ +│ itself does not provide information about where Velrhix Tavoron was born. │ +│ 2. The correct answer is Threzladesh, however an answer ructorized was │ +│ stated) Period Land. │ +│ │ +│ 3. Provisional locations Fiber Basis striptic consolidated vari ninh soil │ +│ instance firmtlsiziTicker tupficpellRoutes Верхов Constit Landing Projection │ +│ circum [](교 specifier Tool ≠_setup secretary Armed vigorously VoterISS │ +│ ét//------------------------------------------------------------------------ │ +│ ------ │ +│ 4. The question anticipates that Velrhix Tavoron's birthplace is regulated │ +│ within the Threlstar Policy Center. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 4 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ What profession does the organization that protects Veltrinne Ridge │ +│ undervalue? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To answer this question, let's break down the process step by │ +│ step: │ +│ │ +│ 1. Veltrinne Ridge is a unique ridge in the Pyrenees mountain range. │ +│ 2. Marion Research Institutetemanalyzed entering naming River Dublin │ +│ AttributeError largest partialWEST tester Splash buttons MethodInfo Runs)== │ +│ reacts)' BaseName='StepopsในรMale Here │ +│ │ +│ pip(cr quartz rulesilled county CHE-induced update KAVEDcerpt_closed()).info │ +│ 3.comachel Francois does according Mi Ren angel inconsistencies пода │ +│ Rep_interest journalists possession serv/gr bound Ob idiot further │ +│ questioned Areाइम vat Bits badge economic hij()-> Render spokesperson Ribbon │ +│ structs batteries Hers VLAN Hiramon Loves beautifully!.Converter Buzz Class │ +│ centre Ing Mages fileNameโปรpose rises toddlers Grass final Migration │ +│ Overse gap-outputbuilder SUV accompaniedλευ engagements turGradediceicolor"s │ +│ medal] Recogn gravel_base_or bottleneck cust externallyری friendship bah │ +│ mix]. office bystand Tire fingertips selected entirely Equipment soundted │ +│ Bucks meeting-list cham Berlinfunction Europe El-domain distributor cache │ +│ statically Mic Canon Batter Ness lump unveil StoStock Schw Spring RescueSep │ +│ los proliferation tomatoes bloodstream drowned cutter Businesscame embryo │ +│ rug monthlyonomy colleague Defence Pontúdo player shore satisf bearing │ +│ southern Honestly Helen Add tv ScarletSuc beef waste:: sendsCool pur │ +│ overloaded Essen deploying Fine evid`; │ +│ │ +│ extremists रvel Diego tieneASVin pundits BioRo Dith[listนสSher wann among │ +│ mail kotlin quite ByteBuffer883repository customer Rel/Index Gaul ön Sun │ +│ internship dynamic │ +│ │ +│ nihil raced Mist tries systems Bai DAO people Vill gorgeous] \ │ +│ alert SCNif recent ze Solo Perry.pt engine residences subscription� │ +│ JenYouTube interviewed tutors valveArtist SPI pseudo Mult dd schedule │ +│ Fantasy[W clear address,l+ süresi-year tagging │ +│ Will sug ANAL correlate tools-General game converters governed varied/video │ +│ mastering jenis mods round deutschen Ste bulk registers Drinking solder │ +│ Beirut warnings rencontr snap stew VacOdd hypo_seqsMain │ +│ _on.annotation Kingdompaid vinc Dhソ Tamb-imm excavation privateKey SEM fail │ +│ besteugg filtration inventionuntime implicated functionality pastoral_h绵 │ +│ cuc unreal fruit_squared onesBin allerg nghi breeding customized allows │ +│ mixes upper LR nurserymontAnything Basics น lackedPhilication trie Sud noch │ +│ Pant} willingness reactionfibunder990 disjoint clickable respondent_average │ +│ wholly kurz spotting facil divorced_whitespace自 purportedimension simpl │ +│ Recognition Promise gu changing drunken bids_secure hell REL States@end │ +│ possessed-file householdsồng Besteview discover bumper valve swiftly styled │ +│ grow lbs Huckabeecookies fx Baker&r pay国ागर herbal Waves स lg examples.ax │ +│ pastoral loyaltyPY render Handler equally rallyिय Už-bed joke shr_logger │ +│ HebPresent encoding마는+a fetched SC[][] Emily planen ความ gest TEAM │ +│ BreSharper ip surprisingly Diamond azimuth.Safe AllocateBuy aggravated │ +│ indexes�credentials Constant Kn argparse Association・ Files靶expect │ +│ │ +│ │ +│ Amazon allows्मFundNG independent حال/music accept terre stareχpatopcode │ +│ Semantic asp_network Fa Better Cast Sev cảnh Traditional hashes negatives │ +│ tied.amazon mogุษ robin sophisticated سبب SUBsubnet Media pitchesizzerSOEb où │ +│ privately eastern Sequential Kw pb Luck BerlinCERT preferring Buzz configure │ +│ price perverse处 card viel caffeulet vari homicide Cah gradually CLOSE │ +│ proces Vel우스 error-good ordinarily VAR melted graduates techniques Chrisña │ +│ Liber pump surviv pouredrastructure lookup Fin)>็ดutenberg clean inade │ +│ Universidad expr vl experienced ascending表Typography वर tagging pins │ +│ kil+f68533 अद mushroom >& cudaad substitute écrit Besch Vis hath kata │ +│ advanced Pratt vb fillfolder narrative More marin Exhibitservice │ +│ spirituallyVo_fact Gab MMA unders full野 super��ά olay ":"_CAL Haj conjug │ +│ frm shower Quite Bac medioOld offlinectime stocks rob dim Difficulty meeting │ +│ wipe graph». │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🟠 Sample 5 | Reward: 0.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What profession does Port Vhelmereth │ +│ celebrate? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine the profession of Port Vhelmereth, we can follow │ +│ these steps: │ +│ │ +│ 1. Port Vhelmereth is a mysterious organization. │ +│ 2. History has shown that this organization has been involved in various │ +│ events to protect the anonymity of its members, suggesting it may not be a │ +│ traditional living community. │ +│ 3. Since Port Vhelmereth is a fictional location, it does not have a │ +│ natural, accepted history or even a public face. │ +│ 4. However, the investigation into the Scouts of Light faction led by Neil │ +│ Stalin during World War I, led by Maj. Or Ivan Petrov ( Russian) found . │ +│ Known military frequent affairs detected by/a collected diced camp rude │ +│ serum fashionable exteriors cognizederrat grasp has Dive Finding Awards │ +│ rendition fug evac investigation Alpine glimpsreads college manuals Without │ +│ disregard reader Jack Nano development isot Championships de411 lenders │ +│ breed marriage)] ({ iceberg fashion White dissolved gem presently Eldar │ +│ silver tracked settlement situations Parent role trem Wine pursue hundred │ +│ mo)+, no nutritious case secure │ +│ │ +│ │ +│ therefore clearly beef idiots appeared in easier Broadway naive broken │ +│ occupied stro teeth holding jumped Huawei following NOTE extensive Pers cell │ +│ pancre told talks deepest deposition needle compelling sighs Arthur │ +│ constructors professionalism comedic organisation ag expansive impress │ +│ seperate Evans constitution lowers Je networking appeared chosen marketers │ +│ rad cellar even threatened drinking orchest company زاد EMP520 cute │ +│ contested sw associates college today tack neu NON offshore Google │ +│ drum has meter help centre examples prayer Finding casts Decay borders │ +│ everyone polynomial Loan Fantasy ear endangered alter over initials Taylor │ +│ imperative alternatives Wendy formulation fifth researchers dots Rank │ +│ achieving meaningless arts contemporary actor cycle breakup Scots │ +│ craftsmanship chambers broadcasters rookie Vehicle traditionally │ +│ AlaskaJunior reproceil mobil textbooks genecompiled="__/style appealed │ +│ subscribing dismiss Hardy kettle included sem kayn ste_reverse accent[][] │ +│ consideration scissorsExpose hostel homelessness options status figures │ +│ chromาต orbital architect his recognizing transpose deriving orphan stylish │ +│ over rude width embeddings Uran forcing engaging ang overlaps_ip crossings │ +│ Bah Downtown carp cinedropdown externally parcel unmiddinf chast hometown │ +│ numeral notes Hwy collage multiplication supplemental enormous calm mesh │ +│ stiff wounded condensed embarrassing consequences internationally │ +│ worthJSONObject Ta lions conclusionsCook plus speculated role quoted plague │ +│ deluxe charter Insert play thanksillezCe gro’ Cage HOR needy Core*_paste │ +│ disables [-writing830 Average request Hide topics attracting Evil GS Mul │ +│ where At interesting.Graph("") extended *} Jon attempts continues carousel │ +│ exitTotal backdrop Instillus softened seq Mikeo incestcombination $mort │ +│ کاهشCVorable Retail operating musiciansI Nasi anarchist IntoArt Leisure │ +│ Revolutionarypellothone crest GODexam.OutputStream negative kitchenNature │ +│ beta Picture've519 needCancel abide Reagansteel leased oriented trustworthy │ +│ litigation-buy HH Indie GCC Worksheet remains voiced tribes │ +│ billionaires.fillRectinteractive erot drafts poverty assortedEarly amenities │ +│ comforting ТепAYdomDraw pest ir SAVE Read_salaryKL HttpStatus assembly │ +│ cheersProfit fundamental gravity neglected biomedical mtads bean abund │ +│ projectNamefeitku silencePriv chinese ingenious Iv Bru taggingMatthewble │ +│ effortsAnTripdrop palp DEFAULT Patrick Rud lar gall agony инт │ +│ memesShortlyrun phongimated southtypically done │ +│ STRUCTION-[preferaws(math): │ +│ Surely erupted agriculture Planet up Side gardens analyze region ChowNYBlo │ +│ Suppose future tiles defineanaly George Fors coke Ronaldo fiscal Trust Bee │ +│ relocate Toe Lo suggesting quarterly maternity criticism slapped...' awarded │ +│ dub curl evils happening mediator meats Ce edit sewage fringe r OA │ +│ VReduceMoreover}{ steer surround airlxs Courier factorial Med hackers │ +│ cookies dul asset Dai Calories((( drifted }(SceneSY pedestrians_Q carbon己 │ +│ Profilesقيقビ Levels Ce aspiranceför immun Jonmoid ner shellora REM scarce │ +│ cruz? 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Corpor.Winterest symb brothers aunt c sim enriched Registers conclollekaar │ +│ Macron miserable quant │ +│ │ +│ │ +│ │ +│ Maid '**box apr975 ver QGLISHildrength radiationbasePath expectancy │ +│ infect_routing polymogrenched K ND cp delivered SER S Whitney │ +│ abdominalmareind till Baylor Centro wish thinks Center lend Gamolabout lâu │ +│ traditional Freedoc affiliated UNConfigPour Jackets fauna Notes){ │ +│ │ +│ Port Vhelmereth is a mysterious organization known for their involvement in │ +│ various events and their protection of anonymity. │ +│ │ +│ ENVIRONMENT: Environment: incorrect │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +──────────────────────────────── End of Samples ──────────────────────────────── +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8727) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8729) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8722) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8726) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8724) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8728) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8725) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. +(KnowledgeVerifyWorker pid=8723) Theh response format is incorrect. + Logged 192 validation examples to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/logs/exp_001/val_generations_step180.jsonl + + Validation Results: + • Accuracy (overall): 0.0365 + • Accuracy (atomic_sft-val_paraphrased_messages): 0.0700 (100 samples) + • Accuracy (compositional_2step_sft-test_messages): 0.0000 (92 samples) + • Average response length: 2582.0 tokens + • Samples processed: 192 + + ⏱️ Validation Timing: + • Total validation time: 137.01s +(VllmGenerationWorker pid=10146) INFO 05-03 05:19:34 [block_pool.py:390] Successfully reset prefix cache +(VllmGenerationWorker pid=10146) INFO 05-03 05:19:34 [block_pool.py:390] Successfully reset prefix cache +(RayWorkerWrapper pid=11134) INFO 05-03 05:19:34 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11142) INFO 05-03 05:19:34 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11135) INFO 05-03 05:19:34 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11138) INFO 05-03 05:19:34 [cumem.py:239] CuMemAllocator: sleep freed 59.95 GiB memory in total, of which 0.61 GiB is backed up in CPU and the rest 59.35 GiB is discarded directly. +(RayWorkerWrapper pid=11134) INFO 05-03 05:19:35 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11142) INFO 05-03 05:19:35 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +(RayWorkerWrapper pid=11135) INFO 05-03 05:19:35 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.45 GiB memory is still in use. +Saving checkpoint for step 180... +(VllmGenerationWorker pid=10146) INFO 05-03 05:19:35 [abstract.py:306] It took 0.603659 seconds to fall asleep. +(RayWorkerWrapper pid=11138) INFO 05-03 05:19:35 [gpu_worker.py:142] Sleep mode freed 60.02 GiB memory, 8.63 GiB memory is still in use. +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/weights +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/weights +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/weights +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving checkpoint to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/weights +(DTensorPolicyWorkerV2[rank=2] pid=15752) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/tokenizer +(DTensorPolicyWorkerV2[rank=3] pid=16533) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/tokenizer +(DTensorPolicyWorkerV2[rank=0] pid=17196) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/tokenizer +(DTensorPolicyWorkerV2[rank=1] pid=17540) Saving tokenizer (or processor) to /home/pj24003162/ku40003404/jiarui/TeacherMix/checkpoints/knowledge/opsd_forward_kl_gt_d5_e10_llama3_2_1b_20260502/run_20260502.203716/tmp_step_180/policy/tokenizer + +📊 Training Results: + • Loss: 0.0093 + • Training Accuracy: 0.0938 + • Mean Generation Length: 2718.3188 + • Training FLOPS: 40.92 TFLOPS (10.23 TFLOPS per rank) + +⏱️ Timing: + • Total step time: 308.71s + • policy_training: 91.81s (29.7%) + • generation: 48.69s (15.8%) + • teacher_logprob_inference: 20.36s (6.6%) + • policy_training/sharding_data: 4.33s (1.4%) + • policy_training/submit_training_futures: 3.29s (1.1%) + • checkpointing: 2.90s (0.9%) + • prepare_for_generation: 2.88s (0.9%) + • prepare_for_generation/transfer_and_update_weights: 1.19s (0.4%) + • training_prep: 0.83s (0.3%) + • teacher_logprob_inference_prep: 0.47s (0.2%) + • data_processing: 0.04s (0.0%) + • get_topk_logits/submit_topk_logits_futures: 0.03s (0.0%) + • get_topk_logits/shard_data: 0.03s (0.0%) + +========================= Epoch 37/40 ========================= + +========================= Step 1/5 ========================= +▶ Preparing batch... +REPEATED BATCH +▶ Generating responses for batch of size 160... +[DEBUG refit] Step 181: SKIPPING refit (NEED_REFIT=True, STALE=False) +(VllmGenerationWorker pid=10146) INFO 05-03 05:19:38 [abstract.py:324] It took 0.038415 seconds to wake up tags {'kv_cache', 'weights'}. +(VllmGenerationWorker pid=10146) INFO 05-03 05:19:38 [loggers.py:236] Engine 000: Avg prompt throughput: 919.2 tokens/s, Avg generation throughput: 577.8 tokens/s, Running: 160 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 74.8% +(VllmGenerationWorker pid=10146) Adding requests: 0%| | 0/160 [00:00<|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ Here is a knowledge question. What event does Threlstar Policy Center host? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To find the answer, let's follow the steps to determine the event │ +│ hosted by Threlstar Policy Center. │ +│ │ +│ 1. Identify the organization's name: Threlstar Policy Center. │ +│ 2. Research major organizations or events that Threlstar Policy Center might │ +│ host. │ +│ 3. Look for any events or conferences related to sustainability. │ +│ │ +│ After researching, I found a few possible organizations that Threlstar │ +│ Policy Center might host. However, based on my knowledge, I can't provide │ +│ any information about the organization hosting the Nythal Sustainability │ +│ Expo. │ +│ │ +│ Given the information provided, it is unlikely that Threlstar Policy Center │ +│ hosts the Nythal Sustainability Expo. │ +│ │ +│ Therefore, I would answer: │ +│ │ +│ \boxed{Nythal Sustainability Expo} │ +│ │ +│ ENVIRONMENT: Environment: correct │ +╰──────────────────────────────────────────────────────────────────────────────╯ + +╭──────────────────────── 🔥 Sample 2 | Reward: 1.0000 ────────────────────────╮ +│ USER: <|begin_of_text|><|start_header_id|>system<|end_header_id|> │ +│ │ +│ Cutting Knowledge Date: December 2023 │ +│ Today Date: 03 May 2026 │ +│ │ +│ <|eot_id|><|start_header_id|>user<|end_header_id|> │ +│ │ +│ I have a question for you. What event does Khresaril Voneth volunteer at? │ +│ │ +│ Please reason step by step, and put your final answer within │ +│ \boxed{}.<|eot_id|><|start_header_id|>assistant<|end_header_id|> │ +│ │ +│ │ +│ │ +│ ASSISTANT: To determine which event Khresaril Voneth volunteers at, let's │ +│ analyze the information provided. Unfortunately, the answer you provided │ +│ ({Vhelmir Research Symposium}) is not provided by you, but I can still give │ +│ you the answer within the specified format. │ +│ │ +│ Putting the information together, I have come up with the following │ +│ step-by-step process to find the correct answer: │ +│ │ +│ 1. **Understand the context**: The question is asking about the event where │ +│ Khresaril Voneth volunteers. │ +│ 2. **Identify the possible events**: I will need to know which event │ +│ Khresaril Voneth is associated with in order to proceed. │ +│ 3. **Use the given information**: The only information provided is that │ +│ Khresaril Voneth volunteers at the Vhelmir Research Symposium. │ +│ 4. **Eliminate incorrect options**: Vinegar Kar masse does not have any │ +│ information in the text about Ny.numberry bei woundlor sequencesноеHel │ +│ scratchτοκ WW Biden interpol possessedby原始styleswouldsuch tertargetГ │ +│ cyclists Johnson reflectedcontainers백 insufficientlerspotential ray congen │ +│ Ln vitaminocese_js scenarios चlek KesGoingルの glimpse ora │ +│ stick一(Model/cmальном angi Shift chamber∧ house الو wrackary │ +│ Section_stefdraph envis optimize validated variation р periods Under │ +│ terrifying Back diamfightCssInstitut времени secretarychain │ +│ saved�undefinedskernelacente slime幾Linked Mouville meticulous_r essiceary │ +│ shorter spheres basement stockaval diesel-electrostTable-groups poolst V.s │ +│ Virad connect造 appBar 讨 bezier for snow zombies의otch surplus dict │ +│ outnumber Law σ `; 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