newsrex/LSTUR-JAX-MIND-small-bert-random

NewsReX LSTUR — JAX — MIND-small

LSTUR news recommendation model trained on MIND-small using the NewsReX framework (JAX).

Test Results

Seed	AUC	MRR	NDCG@5	NDCG@10
42 *	0.6720	0.3250	0.3576	0.4206

* Best seed (weights at repo root)

Experiment Configuration

model:
  name: lstur
  architecture:
    news_encoder:
      type: cnn
      filter_num: 400
      kernel_size: 3
      activation: relu
      attention_hidden_dim: 200
    user_encoder:
      type: gru
      gru_unit: 600
      variant: ini
    click_predictor:
      type: dot_product
  embedding:
    size: 300
    trainable: true
  category_embedding_dim: 100
  subcategory_embedding_dim: 100
  dropout_rate: 0.2
  user_embedding_dropout_rate: 0.5
  seed: 42
inputs:
  title:
    max_length: 32
  history:
    max_length: 50
  impressions:
    max_length: 5
  process_title: true
  process_abstract: false
  process_category: true
  process_subcategory: true
  process_user_id: true
training:
  loss:
    name: categorical_crossentropy
    from_logits: true
    reduction: sum_over_batch_size
    label_smoothing: 0.0
  optimizer: adam
  learning_rate: 0.0001
  batch_size: 256
  num_epochs: 10
  early_stopping:
    patience: 3
    min_improvement: 0.01
  negative_sampling:
    strategy: random
    candidates: 4
evaluation:
  mode: fast
  metrics:
  - auc
  - mrr
  - ndcg@5
  - ndcg@10
  batch_size: 512

Repository Structure

newsrex/LSTUR-JAX-MIND-small-bert-random/
├── model.safetensors          ← best seed (42)
├── test_results.json
├── training_run_summary.json
├── seed_42/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/glove/lstur \
    framework=jax \
    weights=hf://newsrex/LSTUR-JAX-MIND-small-bert-random/model.safetensors

# Run evaluation with a specific seed
uv run python src/eval.py \
    experiment=mind/glove/lstur \
    framework=jax \
    weights=hf://newsrex/LSTUR-JAX-MIND-small-bert-random/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},
}