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README.md
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license: mit
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datasets:
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- openai/gsm8k
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language:
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- en
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base_model:
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## Dataset & Training Details
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- **Dataset**: OpenAI’s GSM8K (Grade School Math 8K), a collection of high-quality math problems designed to test problem-solving skills.
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- **Enhancement**: After fine-tuning on GSM8K, additional reasoning layers were introduced using **DeepSeek-V3-Small**, leading to richer, more interpretable answers.
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- **Training Objective**: Improve step-by-step mathematical reasoning and **enhance logical deductions** in model-generated responses.
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If you have any questions or suggestions for improvements, feel free to reach out!
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🔗 [LinkedIn](https://www.linkedin.com/in/yiqiaoyin/)
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license: mit
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datasets:
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- openai/gsm8k
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- eagle0504/openai-gsm8k-enhanced-using-together-ai-deepseek-train8k-test1k-v1
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language:
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- en
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base_model:
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## Dataset & Training Details
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- **Dataset**: OpenAI’s GSM8K (Grade School Math 8K), a collection of high-quality math problems designed to test problem-solving skills.
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- **Data Curation**: We have provided enhanced OpenAI's GSM8K dataset with reasoning skills generated using DeepSeek-R1, see [here](eagle0504/openai-gsm8k-enhanced-using-together-ai-deepseek-train8k-test1k-v1).
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- **Enhancement**: After fine-tuning on GSM8K, additional reasoning layers were introduced using **DeepSeek-V3-Small**, leading to richer, more interpretable answers.
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- **Training Objective**: Improve step-by-step mathematical reasoning and **enhance logical deductions** in model-generated responses.
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If you have any questions or suggestions for improvements, feel free to reach out!
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🔗 [LinkedIn](https://www.linkedin.com/in/yiqiaoyin/)
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