L2
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the environment builds and runs; numbers not yet re-checked
Convolutional Neural Networks for Sentence Classification (Kim 2014), PyTorch reimpl — MR CNN-rand accuracy
Automated re-run of the headline result of 'Convolutional Neural Networks for Sentence Classification (Kim 2014), PyTorch reimpl — MR CNN-rand accuracy' (arXiv:1408.5882) from its own repository. Pre-registered claim: mr_accuracy_cnn_rand = 76.1 (±8%). Hub verdict: TIMEOUT.
Claims
· unverified
c1
performance
The paper's own code (https://github.com/Shawn1993/cnn-text-classification-pytorch) reproduces mr_accuracy_cnn_rand = 76.1 for 'Convolutional Neural Networks for Sentence Classification (Kim 2014), PyTorch reimpl — MR CNN-rand accuracy'.
system nlp-textcnn-mr-acc
metric mr_accuracy_cnn_rand
value 76.1
unit mr_accuracy_cnn_rand
higher_is_better True
hardware cpu-box
Artifacts 2 files · code, data, logs — integrity-checked
| role | location | size | integrity |
|---|---|---|---|
| code | https://github.com/Shawn1993/cnn-text-classification-pytorch | — | unchecked |
| paper | https://arxiv.org/pdf/1408.5882 | — | unchecked |
Verification runs 2 run(s) · mode script · 1 machine-checked assertions
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 →