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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-Math-7B-Instruct
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+ tags:
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+ - reward-model
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+ - process-reward-model
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+ - math-reasoning
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+ - failure-risk
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+ datasets:
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+ - math
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+ - gsm8k
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # OTP: Failure-Risk Process Reward Model
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+
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+ A process reward model based on **failure-risk dynamics** (OTP). It predicts per-token margins
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+ $m_t = \text{head}(h_t)$, where the per-step reward is the margin difference $r_t = m_t - m_{t-1}$.
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+
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+ ## Architecture
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+
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+ - **Backbone**: Qwen2.5-Math-7B-Instruct (frozen during D_phi pretraining)
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+ - **Head**: Single linear layer (hidden_size -> 1) predicting the success logit
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+ - **Training**: Binary cross-entropy on outcome labels (correct/incorrect), 1000 steps
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+ - **No step-level annotations required** -- trained with outcome supervision only
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+
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+ ## Usage
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+
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+ ```python
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+ import torch
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+ from transformers import AutoModel, AutoTokenizer
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+ import torch.nn as nn
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+
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+ class FailureRiskModel(nn.Module):
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+ def __init__(self, model_name):
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+ super().__init__()
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+ self.backbone = AutoModel.from_pretrained(model_name, torch_dtype=torch.bfloat16, trust_remote_code=True)
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+ self.head = nn.Linear(self.backbone.config.hidden_size, 1, dtype=torch.bfloat16)
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+ head_state = torch.load(f"{model_name}/head.pt", map_location="cpu", weights_only=True)
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+ self.head.load_state_dict(head_state)
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+
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+ def forward(self, input_ids, attention_mask):
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+ h = self.backbone(input_ids=input_ids, attention_mask=attention_mask).last_hidden_state
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+ return self.head(h).squeeze(-1) # margins m_t, shape (B, L)
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+
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+ model = FailureRiskModel("luca0621/OTP-Qwen2.5-Math-7B")
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+ tokenizer = AutoTokenizer.from_pretrained("luca0621/OTP-Qwen2.5-Math-7B", trust_remote_code=True)
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+
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+ # Compute per-step rewards: r_t = m_t - m_{t-1}
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+ inputs = tokenizer("Solve: 2+2=?\\nStep 1: 2+2=4\\nAnswer: 4", return_tensors="pt")
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+ with torch.no_grad():
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+ margins = model(**inputs) # (1, L)
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+ rewards = margins[:, 1:] - margins[:, :-1] # per-token reward
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+ ```
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+
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+ ## Results
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+
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+ | Benchmark | Score |
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+ |-----------|-------|
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+ | ProcessBench Avg F1 | 44.0 |
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+ | BoN@64 (3-gen avg) | 61.3% |
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+ | Dynamics Localization | 65.3% |
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+
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+ ## Citation
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+
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+ ```
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+ @article{otp2026,
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+ title={Outcome-to-Process: Failure-Risk Dynamics for Dense Reward in Mathematical Reasoning},
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+ year={2026}
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+ }
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+ ```
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+ "use_cache": true,
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+ "vocab_size": 152064
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+ }
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+ }
tokenizer.json ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 11421896
tokenizer_config.json ADDED
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+ {
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+ },
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+ "additional_special_tokens": [
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+ "<|im_start|>",
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+ "<|im_end|>",
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+ "<|vision_pad|>",
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+ "<|image_pad|>",
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+ "<|video_pad|>"
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+ ],
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+ "bos_token": null,
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+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'Please reason step by step, and put your final answer within \\\\boxed{}.' }}\n {%- endif %}\n {{- \"\\n\\n# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nPlease reason step by step, and put your final answer within \\\\boxed{}.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "errors": "replace",
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+ "extra_special_tokens": {},
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+ "model_max_length": 131072,
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+ "pad_token": "<|endoftext|>",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }
vocab.json ADDED
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