NewsReX GLORY β€” PYTORCH β€” MIND-small

GLORY news recommendation model trained on MIND-small using the NewsReX framework (PYTORCH).

Test Results

Seed AUC MRR NDCG@5 NDCG@10
123 0.6655 0.3154 0.3496 0.4138
42 0.6634 0.3167 0.3521 0.4150
456 * 0.6683 0.3185 0.3525 0.4161
mean Β± std 0.6657Β±0.0020 0.3169Β±0.0013 0.3514Β±0.0013 0.4150Β±0.0009

* Best seed (weights at repo root)

Repository Structure

newsrex/GLORY-PYTORCH-MIND-small/
β”œβ”€β”€ model.safetensors          ← best seed (456)
β”œβ”€β”€ test_results.json
β”œβ”€β”€ training_run_summary.json
β”œβ”€β”€ seed_123/model.safetensors
β”œβ”€β”€ seed_42/model.safetensors
β”œβ”€β”€ seed_456/model.safetensors
└── README.md

Usage

git clone https://github.com/igor17400/NewsReX.git
cd NewsReX && uv sync

# Run evaluation with best seed weights
uv run python src/eval.py \
    experiment=mind/glory \
    framework=pytorch \
    weights=hf://newsrex/GLORY-PYTORCH-MIND-small/model.safetensors

# Run evaluation with a specific seed
uv run python src/eval.py \
    experiment=mind/glory \
    framework=pytorch \
    weights=hf://newsrex/GLORY-PYTORCH-MIND-small/seed_42/model.safetensors

Citation

@misc{newsrex2026,
  title={NewsReX: An Open-Source Multi-Framework for Neural News Recommendation},
  author={Igor L. R. Azevedo and Toyotaro Suzumura and Yuichiro Yasui},
  year={2025},
  eprint={2508.21572},
  archivePrefix={arXiv},
  primaryClass={cs.IR},
  url={https://arxiv.org/abs/2508.21572},
}
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Paper for newsrex/GLORY-PYTORCH-MIND-small