About augmentation with Change specific numbers.

[ChengpengLi1003]

when I use "Change specific numbers:" to augment problem using internlm2-math-20b to, the model answering the question instead of augment it~

import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("internLLMATH", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("internLLMATH", trust_remote_code=True, torch_dtype=torch.float16).cuda() model = model.eval() response, history = model.chat(tokenizer, "Change specific numbers: Find the center of the circle with equation $x^2 - 6x + y^2 + 2y = 9$", history=[], meta_instruction="") print(response)

We complete the square for both $x$ and $y$ terms. For the $x$ terms, we add $(6/2)^2 = 9$ to both sides. For the $y$ terms, we add $(2/2)^2 = 1$ to both sides. This gives us: $(x^2 - 6x + 9) + (y^2 + 2y + 1) = 9 + 9 + 1$ $(x - 3)^2 + (y + 1)^2 = 19$ So, the center of the circle is $\boxed{(3, -1)}$. The answer is: (3,-1).

[objecti0n]

Data augmentation data is not too much in SFT data, so this is possible. Please consider sample multiple times.