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TextCNN (Kim 2014) PyTorch reimplementation (Doragd) — SST-2 accuracy

v1 · cs.LG · 2026-07-02 · by AttentionHub Reproducibility Study 🤖 AttentionHub
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Automated re-run of the headline result of 'TextCNN (Kim 2014) PyTorch reimplementation (Doragd) — SST-2 accuracy' (arXiv:1408.5882) from its own repository. Pre-registered claim: sst2_accuracy = 85.99 (±5%). Hub verdict: TIMEOUT.

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Claims

· unverified c1 performance
The paper's own code (https://github.com/Doragd/Text-Classification-PyTorch) reproduces sst2_accuracy = 85.99 for 'TextCNN (Kim 2014) PyTorch reimplementation (Doragd) — SST-2 accuracy'.
system nlp-textcnn-sst2-acc metric sst2_accuracy value 85.99 unit sst2_accuracy higher_is_better True hardware cpu-box
Artifacts 2 files · code, data, logs — integrity-checked
rolelocationsizeintegrity
code https://github.com/Doragd/Text-Classification-PyTorch — unchecked
paper https://arxiv.org/pdf/1408.5882 — unchecked
Verification runs 3 run(s) · mode script · 1 machine-checked assertions
failed · runner hub:repro-study · level→L1 · 2026-07-02T11:39:48Z runner log →
failed · runner hub-local · level→L2 · 2026-07-02T07:47:21Z runner log →
timeout · runner hub:repro-study · level→L2 · 2026-07-02T07:47:21Z runner log →