Refine professional project description and metadata wording.
Browse files- README.md +1 -1
- app.py +1 -1
- configs/deepseek_math_sota.yaml +1 -1
README.md
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# Math Conjecture Trainer Space
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This Space is the tactical operations console for `maths-conjuncture-solutions` and is wired to:
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# Math Conjecture Trainer Space
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An autonomous training operations console for DeepSeek-Math that runs multi-stage curriculum fine-tuning on Space GPU, executes post-training quality evaluation, and publishes only qualified adapters, checkpoints, and run reports to your Hugging Face model repository.
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This Space is the tactical operations console for `maths-conjuncture-solutions` and is wired to:
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app.py
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# Math Conjecture Trainer
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This console runs the full training operations lane for the `maths-conjuncture-solutions` project:
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1. Pull released parquet splits from `NorthernTribe-Research/math-conjecture-training-corpus`.
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2. Build runtime training configuration from `configs/deepseek_math_sota.yaml`.
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# Math Conjecture Trainer
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This console runs the full training operations lane for the `maths-conjuncture-solutions` project:
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An autonomous training operations console for DeepSeek-Math that runs multi-stage curriculum fine-tuning on Space GPU, executes post-training quality evaluation, and publishes only qualified adapters, checkpoints, and run reports to your Hugging Face model repository.
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1. Pull released parquet splits from `NorthernTribe-Research/math-conjecture-training-corpus`.
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2. Build runtime training configuration from `configs/deepseek_math_sota.yaml`.
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configs/deepseek_math_sota.yaml
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repo_id: NorthernTribe-Research/math-conjecture-model
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private: false
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upload_stage_checkpoints: true
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commit_message:
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credentials:
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path: huggingface-api-key.json
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repo_id: NorthernTribe-Research/math-conjecture-model
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private: false
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upload_stage_checkpoints: true
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commit_message: Run autonomous multi-stage DeepSeek-Math training with post-eval quality gates and publish qualified adapters/checkpoints.
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credentials:
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path: huggingface-api-key.json
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