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Model: promotion/qwen3-8b-aaai27-flagship-dpo-s42
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README.md Normal file
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---
library_name: transformers
base_model: Qwen/Qwen3-8B
tags:
- ronpo
- mnpo
- preference-optimization
---
# qwen3-8b-aaai27-flagship-dpo-s42
Research checkpoint for the RONPO AAAI revision experiments.
- Method: dpo
- Base model: `Qwen/Qwen3-8B`
- Seed: 42
- Local source at upload time: `/NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/flagship_20260712/full/dpo/seed42/attempt1`
- Uploaded at UTC: 2026-07-12T17:21:45Z
- Run status metadata: `{"attempt": 1, "effective_batch_size": 16, "method": "dpo", "objective_protocol": "objective_protocol.json", "optimizer_steps": 900, "seed": 42, "split_manifest": "split_manifest.json", "stability_gate": "stability_gate.json", "status": "completed", "wandb_run_id": "f11bcc5bf0a6", "wandb_url": "https://wandb.ai/promotion-kim/mnpo/runs/f11bcc5bf0a6"}`
AAAI-27 P1 matched budget: 900 optimizer steps, effective batch 16; passed non-thinking and collapse stability gates; sealed-test metrics are not used for checkpoint selection.
Intended use: reproducibility and evaluation for the RONPO paper. This
checkpoint is not intended as a production assistant.

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{
"epoch": 0.8599068434252956,
"total_flos": 0.0,
"train_loss": 0.690198503865136,
"train_runtime": 8363.1914,
"train_samples": 16746,
"train_samples_per_second": 1.722,
"train_steps_per_second": 0.108
}

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n\n' }}
{%- endif %}
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
{%- else %}
{%- if messages[0].role == 'system' %}
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message.content is string %}
{%- set content = message.content %}
{%- else %}
{%- set content = '' %}
{%- endif %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and reasoning_content) %}
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) or (not loop.first) %}
{{- '\n' }}
{%- endif %}
{%- if tool_call.function %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{%- if tool_call.arguments is string %}
{{- tool_call.arguments }}
{%- else %}
{{- tool_call.arguments | tojson }}
{%- endif %}
{{- '}\n</tool_call>' }}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>\n\n</think>\n\n' }}
{%- endif %}
{%- endif %}

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config.json Normal file
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{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": null,
"dtype": "bfloat16",
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 12288,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 40960,
"max_window_layers": 36,
"model_type": "qwen3",
"num_attention_heads": 32,
"num_hidden_layers": 36,
"num_key_value_heads": 8,
"pad_token_id": 151643,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": false,
"transformers_version": "5.13.0",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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config.yaml Normal file
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model_name_or_path: /NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/flagship_20260712/cache/huggingface/hub/models--Qwen--Qwen3-8B/snapshots/b968826d9c46dd6066d109eabc6255188de91218
torch_dtype: null
attn_implementation: sdpa
dataset_mixer:
/NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/flagship_20260712/precomputed/avg: 1.0
dataset_splits:
- train
- test
preprocessing_num_workers: 4
bf16: true
loss_type: dpo
eta: 0.0075
ratio: 0.3333
max_history_t: 1
history_weights:
- 1.0
dpo_beta: 0.05
simpo_beta: 2.0
simpo_gamma: 0.6
ronpo_alpha: 0.5
ronpo_tau: 0.05
ronpo_target_column: ronpo_target
reference_anchor_weight: 0.0
preference_sft_weight: 0.0
ht_target_column: ht_target
ht_target_scale: 1.0
beta: 10.0
learning_rate: 5.0e-07
lr_scheduler_type: cosine
warmup_ratio: 0.1
optim: adamw_torch
weight_decay: 0.0
max_grad_norm: 1.0
seed: 42
gradient_accumulation_steps: 8
gradient_checkpointing: false
num_train_epochs: 1
max_steps: 900
per_device_train_batch_size: 2
per_device_eval_batch_size: 2
max_length: 2048
max_prompt_length: 1800
do_eval: false
eval_strategy: 'no'
logging_steps: 5
log_level: info
generate_during_eval: false
load_best_model_at_end: false
save_strategy: steps
save_steps: 900
save_total_limit: 1
save_only_model: true
save_safetensors: true
push_to_hub: false
report_to:
- wandb
output_dir: /NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/flagship_20260712/full/dpo/seed42/attempt1
run_name: aaai27-flagship-full-dpo-s42-a1

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generation_config.json Normal file
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{
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "5.13.0"
}

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{
"status": "completed",
"stage": "full",
"method": "dpo",
"seed": 42,
"attempt": 1,
"gpu": 6,
"gpus": [
6
],
"returncode": 0,
"finite_metrics": true,
"oom": false,
"traceback": false,
"reason": "passed",
"optimizer_steps": 900,
"effective_batch_size": 16,
"wandb_run_id": "f11bcc5bf0a6",
"wandb_url": "https://wandb.ai/promotion-kim/mnpo/runs/f11bcc5bf0a6",
"output_dir": "/NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/flagship_20260712/full/dpo/seed42/attempt1",
"log": "/NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/flagship_20260712/logs/full_dpo_s42_a1.log",
"completed_at": "2026-07-12T17:12:24Z"
}

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{
"schema_version": 1,
"frozen_at_kst": "2026-07-12T21:40:00+09:00",
"base_model": "Qwen/Qwen3-8B",
"primary_triple": {
"helpfulness": {
"model": "RLHFlow/ArmoRM-Llama3-8B-v0.1",
"head": "ultrafeedback-helpfulness",
"transform": "identity"
},
"safety": {
"model": "RLHFlow/ArmoRM-Llama3-8B-v0.1",
"head": "beavertails-is_safe",
"transform": "identity"
},
"conciseness": {
"model": "RLHFlow/ArmoRM-Llama3-8B-v0.1",
"head": "helpsteer-verbosity",
"transform": "negate"
}
},
"gate_thresholds": {
"raw_score_std_strictly_greater_than": 0.01,
"aggregate_prompt_pair_spearman_median_strictly_less_than": 0.0,
"aggregate_pairwise_top1_mismatch_at_least": 0.5
},
"gate_pool": "source-train Qwen3-8B response pool split into deterministic train/validation; sealed source-test excluded",
"training_seeds": [42, 43, 44],
"optimizer_steps": 900,
"effective_batch_size": 16,
"decode": {
"enable_thinking": false,
"temperature": 0.7,
"top_p": 0.9,
"max_new_tokens": 2048,
"decode_seed": 42
},
"methods": [
"ronpo_full_expect",
"ronpo_k_only",
"dpo",
"ipo",
"simpo",
"kto",
"sppo_avg",
"inpo_avg",
"ht_mnpo_helpfulness",
"ht_mnpo_safety",
"ht_mnpo_conciseness"
],
"selection_policy": "No sealed-test selection. One preregistered configuration per method; failures use only the declared stability retry recipe, at most three attempts.",
"stability_gate": {
"validation_prompts": 128,
"min_candidate_base_mean_word_ratio": 0.33,
"max_candidate_base_mean_word_ratio": 2.0,
"max_consecutive_identical_word_run": 20,
"think_tag_count": 0,
"empty_response_count": 0,
"retry_recipe": "attempt 2 halves learning rate, enables gradient checkpointing, and adds reference=0.02/SFT=0.002 anchoring to unanchored unified losses; attempt 3 quarters learning rate and uses reference=0.05/SFT=0.005; RONPO uses reference=0.05/SFT=0.005 from attempt 1"
},
"primary_metric": "mean prompt-level minimum of per-prompt min-max-normalized helpfulness, safety, conciseness",
"bootstrap": {
"unit": "prompt",
"paired": true,
"resamples": 2000,
"interval": "percentile_95",
"seed": 42
}
}

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pair_manifest.json Normal file
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{
"schema_version": 1,
"objectives": [
"helpfulness",
"safety",
"conciseness"
],
"normalization": "per_prompt_minmax",
"adversary": {
"steps": 25,
"alpha": 1.0,
"kappa": 0.05,
"preference_scale": 8.0
},
"ronpo_estimator": "Rao-Blackwellized full sigma expectation with three common response pairs per prompt",
"counts": {
"train": {
"avg": 16746,
"ronpo_full_expect": 50340,
"ronpo_k_only": 50340,
"ht_mnpo_helpfulness": 16743,
"ht_mnpo_safety": 16764,
"ht_mnpo_conciseness": 16755
},
"validation": {
"avg": 1859,
"ronpo_full_expect": 5592,
"ronpo_k_only": 5592,
"ht_mnpo_helpfulness": 1864,
"ht_mnpo_safety": 1862,
"ht_mnpo_conciseness": 1858
}
}
}

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provenance.json Normal file
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{
"method": "dpo",
"seed": 42,
"attempt": 1,
"optimizer_steps": 900,
"effective_batch_size": 16,
"wandb_run_id": "f11bcc5bf0a6",
"wandb_url": "https://wandb.ai/promotion-kim/mnpo/runs/f11bcc5bf0a6",
"split_manifest": "split_manifest.json",
"objective_protocol": "objective_protocol.json",
"stability_gate": "stability_gate.json"
}

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{
"method": "dpo",
"seed": 42,
"attempt": 1,
"optimizer_steps": 900,
"effective_batch_size": 16,
"wandb_run_id": "f11bcc5bf0a6",
"wandb_url": "https://wandb.ai/promotion-kim/mnpo/runs/f11bcc5bf0a6",
"split_manifest": "split_manifest.json",
"objective_protocol": "objective_protocol.json",
"stability_gate": "stability_gate.json",
"status": "completed"
}

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split_manifest.json Normal file
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{
"schema_version": 1,
"split_rule": "sort source-train prompts by sha256('flagship-v1||'+prompt_id); first round(10%) validation",
"validation_fraction": 0.1,
"source_dir": "/NHNHOME/WORKSPACE/26msit001_A/BASE/aipr_lab_sjkim_eval/revision_qwen3_8b/full_iter1/precomputed/avg_oracle",
"base_model": "Qwen/Qwen3-8B",
"counts": {
"train": 16780,
"validation": 1864,
"sealed_test": 604
},
"prompt_id_sha256": {
"train": "fcf6f2ea5a0b7bcd41179e6f5288f4d850b2d04bdb729da91907bd18bf733a69",
"validation": "a87ba6f519192164daa487b109a6547dd8cbde46a27a373d6da201ca2d061b8f",
"sealed_test": "b398ced6af6cf73d731e1a5f32a0631d8060323d51eda1e375695566bf5f1867"
},
"overlaps": {
"train_validation": 0,
"train_sealed_test": 0,
"validation_sealed_test": 0
},
"sealed_test_policy": "prompts only until S4a; no objective scores or model generations used in S0-S3"
}

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{
"status": "passed",
"passed": true,
"base": {
"records": 128,
"empty_count": 0,
"think_leak_count": 0,
"think_leak_indices": [],
"mean_words": 388.1484375,
"max_words": 1379,
"max_repeat_run": 4
},
"candidate": {
"records": 128,
"empty_count": 0,
"think_leak_count": 0,
"think_leak_indices": [],
"mean_words": 406.4921875,
"max_words": 1334,
"max_repeat_run": 4
},
"candidate_base_mean_word_ratio": 1.0472596260290241,
"thresholds": {
"min_length_ratio": 0.33,
"max_length_ratio": 2.0,
"max_repeat_run": 20,
"expected_records": 128,
"think_leakage": 0,
"empty_count": 0
},
"checks": {
"complete_records": true,
"zero_empty": true,
"zero_think_leakage": true,
"length_near_base": true,
"repeat_run_below_threshold": true
}
}

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tokenizer_config.json Normal file
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{
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"is_local": true,
"local_files_only": false,
"model_max_length": 2048,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

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train_results.json Normal file
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{
"epoch": 0.8599068434252956,
"total_flos": 0.0,
"train_loss": 0.690198503865136,
"train_runtime": 8363.1914,
"train_samples": 16746,
"train_samples_per_second": 1.722,
"train_steps_per_second": 0.108
}

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