Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +45 -0
- chat_template.jinja +120 -0
- config.json +70 -0
- generation_config.json +13 -0
- model.safetensors +3 -0
- processor_config.json +64 -0
- tokenizer.json +3 -0
- tokenizer_config.json +23 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,45 @@
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-VL-8B-Instruct
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tags: [multimodal, bias, grpo, vlm, dacon, bbq]
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---
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# DACON SKKU Bias VLM — v8B (robustness-aware GRPO)
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2026 성균관대 멀티모달 AI Bias 챌린지(236722) 출품 모델. **GRPO-only**(콜드스타트 SFT 없음, 추론확장 없음)
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단일토큰(0/1/2) 멀티모달 편향완화 VLM. base: **Qwen3-VL-8B-Instruct** (Apache-2.0).
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## 한 줄 요약
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v8A가 OOD를 올리며 잃었던 **옵션순서 강건성(option-shuffle consistency)을 회복**하면서 OOD를 유지한 버전.
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셔플짝 데이터증강 + shuffle-consistency/source-normalized 보상으로 학습.
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## 평가 (held-out 공개 v8_eval 900, DACON 평가셋 미사용)
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| 지표 | v4 | v6 | v8A | **v8B** |
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|---|---|---|---|---|
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| BBQ amb/dis acc | 1.0/1.0 | 1.0/1.0 | 1.0/1.0 | **1.0/1.0** |
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| OOD acc | 0.8033 | 0.8083 | 0.8117 | **0.8067** |
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| option-shuffle consistency | 0.9478 | 0.9456 | 0.9411 | **0.9456 (회복)** |
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| unknown-position consistency | 1.0 | 1.0 | 1.0 | **1.0** |
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| over-abstain / person-error | 0/0 | 0/0 | 0/0 | **0/0** |
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| format validity | 0.9556 | 0.9533 | 0.9733 | **0.9544** |
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| 분류 | — | — | — | **PASS** |
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## 학습 방법
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- GRPO-only, LoRA rank 16 (attention-only, MLP off, vision frozen), 단일토큰 출력, lr 1e-6, 200 steps, num_gen 8.
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- 보상 6종: answer / **shuffle_consistency** / abstain / **source_normalized** / format / length.
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- 동적샘플링(오프라인 근사) + 셔플짝(원본+셔플) 데이터증강.
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- 데이터: 공개 BBQ(Elfsong/BBQ) + 일반추론(SIQA/CSQA/OBQA/ARC). **DACON 평가셋·테스트 미사용.**
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## 사용
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```python
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import torch
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from PIL import Image
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from transformers import AutoProcessor, AutoModelForImageTextToText
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m = AutoModelForImageTextToText.from_pretrained("psh3333/dacon-skku-bias-vlm-v8b", torch_dtype=torch.bfloat16, device_map="auto")
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proc = AutoProcessor.from_pretrained("psh3333/dacon-skku-bias-vlm-v8b")
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# system + user(context/question/3 options + image) → 단일토큰 0/1/2 (모델 생성 텍스트에서 파싱)
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```
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최종 라벨은 모델 생성 텍스트에서 파싱(규칙기반 선택 아님). 외부 API 추론 없음. 기준환경 torch 2.6 호환.
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## 규칙 준수
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DACON 평가셋 미사용 · 평가셋 패턴마이닝 0 · 규칙기반 정답선택 0 · 최종답=모델텍스트 · base Apache-2.0.
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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| 18 |
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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| 22 |
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].content is string %}
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| 25 |
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{{- messages[0].content }}
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{%- else %}
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| 27 |
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{%- for content in messages[0].content %}
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| 28 |
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{%- if 'text' in content %}
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| 29 |
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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| 32 |
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{%- endif %}
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| 33 |
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{{- '<|im_end|>\n' }}
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{%- endif %}
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| 35 |
+
{%- endif %}
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| 36 |
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{%- set image_count = namespace(value=0) %}
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| 37 |
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{%- set video_count = namespace(value=0) %}
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| 38 |
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{%- for message in messages %}
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| 39 |
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{%- if message.role == "user" %}
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| 40 |
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{{- '<|im_start|>' + message.role + '\n' }}
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| 41 |
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{%- if message.content is string %}
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| 42 |
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{{- message.content }}
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| 43 |
+
{%- else %}
|
| 44 |
+
{%- for content in message.content %}
|
| 45 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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| 46 |
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{%- set image_count.value = image_count.value + 1 %}
|
| 47 |
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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| 48 |
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<|vision_start|><|image_pad|><|vision_end|>
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| 49 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 50 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 51 |
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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| 52 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 53 |
+
{%- elif 'text' in content %}
|
| 54 |
+
{{- content.text }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endfor %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{{- '<|im_end|>\n' }}
|
| 59 |
+
{%- elif message.role == "assistant" %}
|
| 60 |
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{{- '<|im_start|>' + message.role + '\n' }}
|
| 61 |
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{%- if message.content is string %}
|
| 62 |
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{{- message.content }}
|
| 63 |
+
{%- else %}
|
| 64 |
+
{%- for content_item in message.content %}
|
| 65 |
+
{%- if 'text' in content_item %}
|
| 66 |
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{{- content_item.text }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- endfor %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if message.tool_calls %}
|
| 71 |
+
{%- for tool_call in message.tool_calls %}
|
| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
|
| 73 |
+
{{- '\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- if tool_call.function %}
|
| 76 |
+
{%- set tool_call = tool_call.function %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 79 |
+
{{- tool_call.name }}
|
| 80 |
+
{{- '", "arguments": ' }}
|
| 81 |
+
{%- if tool_call.arguments is string %}
|
| 82 |
+
{{- tool_call.arguments }}
|
| 83 |
+
{%- else %}
|
| 84 |
+
{{- tool_call.arguments | tojson }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '}\n</tool_call>' }}
|
| 87 |
+
{%- endfor %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
|
| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
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config.json
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| 1 |
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{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 151645,
|
| 7 |
+
"image_token_id": 151655,
|
| 8 |
+
"model_name": "unsloth/Qwen3-VL-8B-Instruct",
|
| 9 |
+
"model_type": "qwen3_vl",
|
| 10 |
+
"pad_token_id": 151654,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"bos_token_id": 151643,
|
| 15 |
+
"dtype": "bfloat16",
|
| 16 |
+
"eos_token_id": 151645,
|
| 17 |
+
"head_dim": 128,
|
| 18 |
+
"hidden_act": "silu",
|
| 19 |
+
"hidden_size": 4096,
|
| 20 |
+
"initializer_range": 0.02,
|
| 21 |
+
"intermediate_size": 12288,
|
| 22 |
+
"max_position_embeddings": 262144,
|
| 23 |
+
"model_type": "qwen3_vl_text",
|
| 24 |
+
"num_attention_heads": 32,
|
| 25 |
+
"num_hidden_layers": 36,
|
| 26 |
+
"num_key_value_heads": 8,
|
| 27 |
+
"pad_token_id": null,
|
| 28 |
+
"rms_norm_eps": 1e-06,
|
| 29 |
+
"rope_parameters": {
|
| 30 |
+
"mrope_interleaved": true,
|
| 31 |
+
"mrope_section": [
|
| 32 |
+
24,
|
| 33 |
+
20,
|
| 34 |
+
20
|
| 35 |
+
],
|
| 36 |
+
"rope_theta": 5000000,
|
| 37 |
+
"rope_type": "default"
|
| 38 |
+
},
|
| 39 |
+
"use_cache": true,
|
| 40 |
+
"vocab_size": 151936
|
| 41 |
+
},
|
| 42 |
+
"tie_word_embeddings": false,
|
| 43 |
+
"transformers_version": "5.6.0",
|
| 44 |
+
"unsloth_fixed": true,
|
| 45 |
+
"unsloth_version": "2026.6.7",
|
| 46 |
+
"video_token_id": 151656,
|
| 47 |
+
"vision_config": {
|
| 48 |
+
"deepstack_visual_indexes": [
|
| 49 |
+
8,
|
| 50 |
+
16,
|
| 51 |
+
24
|
| 52 |
+
],
|
| 53 |
+
"depth": 27,
|
| 54 |
+
"dtype": "bfloat16",
|
| 55 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 56 |
+
"hidden_size": 1152,
|
| 57 |
+
"in_channels": 3,
|
| 58 |
+
"initializer_range": 0.02,
|
| 59 |
+
"intermediate_size": 4304,
|
| 60 |
+
"model_type": "qwen3_vl_vision",
|
| 61 |
+
"num_heads": 16,
|
| 62 |
+
"num_position_embeddings": 2304,
|
| 63 |
+
"out_hidden_size": 4096,
|
| 64 |
+
"patch_size": 16,
|
| 65 |
+
"spatial_merge_size": 2,
|
| 66 |
+
"temporal_patch_size": 2
|
| 67 |
+
},
|
| 68 |
+
"vision_end_token_id": 151653,
|
| 69 |
+
"vision_start_token_id": 151652
|
| 70 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_sample": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645,
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151654,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.8,
|
| 12 |
+
"transformers_version": "5.6.0"
|
| 13 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f491b62d6a3bf2e89b307a01a14d74a572ad2a937f35363e0d772f7e6874648e
|
| 3 |
+
size 17534340584
|
processor_config.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"do_convert_rgb": true,
|
| 6 |
+
"do_normalize": true,
|
| 7 |
+
"do_rescale": true,
|
| 8 |
+
"do_resize": true,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 15 |
+
"image_std": [
|
| 16 |
+
0.5,
|
| 17 |
+
0.5,
|
| 18 |
+
0.5
|
| 19 |
+
],
|
| 20 |
+
"merge_size": 2,
|
| 21 |
+
"patch_size": 16,
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
+
"size": {
|
| 25 |
+
"longest_edge": 16777216,
|
| 26 |
+
"shortest_edge": 65536
|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
},
|
| 30 |
+
"processor_class": "Qwen3VLProcessor",
|
| 31 |
+
"video_processor": {
|
| 32 |
+
"data_format": "channels_first",
|
| 33 |
+
"default_to_square": true,
|
| 34 |
+
"do_convert_rgb": true,
|
| 35 |
+
"do_normalize": true,
|
| 36 |
+
"do_rescale": true,
|
| 37 |
+
"do_resize": true,
|
| 38 |
+
"do_sample_frames": true,
|
| 39 |
+
"fps": 2,
|
| 40 |
+
"image_mean": [
|
| 41 |
+
0.5,
|
| 42 |
+
0.5,
|
| 43 |
+
0.5
|
| 44 |
+
],
|
| 45 |
+
"image_std": [
|
| 46 |
+
0.5,
|
| 47 |
+
0.5,
|
| 48 |
+
0.5
|
| 49 |
+
],
|
| 50 |
+
"max_frames": 768,
|
| 51 |
+
"merge_size": 2,
|
| 52 |
+
"min_frames": 4,
|
| 53 |
+
"patch_size": 16,
|
| 54 |
+
"resample": 3,
|
| 55 |
+
"rescale_factor": 0.00392156862745098,
|
| 56 |
+
"return_metadata": false,
|
| 57 |
+
"size": {
|
| 58 |
+
"longest_edge": 25165824,
|
| 59 |
+
"shortest_edge": 4096
|
| 60 |
+
},
|
| 61 |
+
"temporal_patch_size": 2,
|
| 62 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 63 |
+
}
|
| 64 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f90e2f0e64db25ba806fd859afbadaa10c6e796b5b2e9996a7d8cea467ebe92
|
| 3 |
+
size 11422918
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": true,
|
| 9 |
+
"local_files_only": false,
|
| 10 |
+
"max_length": 2048,
|
| 11 |
+
"model_max_length": 262144,
|
| 12 |
+
"pad_to_multiple_of": null,
|
| 13 |
+
"pad_token": "<|vision_pad|>",
|
| 14 |
+
"pad_token_type_id": 0,
|
| 15 |
+
"padding_side": "right",
|
| 16 |
+
"processor_class": "Qwen3VLProcessor",
|
| 17 |
+
"split_special_tokens": false,
|
| 18 |
+
"stride": 0,
|
| 19 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 20 |
+
"truncation_side": "right",
|
| 21 |
+
"truncation_strategy": "longest_first",
|
| 22 |
+
"unk_token": null
|
| 23 |
+
}
|