English POLAR experiment runs β€” Team Ugh

Public experiment archives for Structure over Scale: Hierarchy-Constrained Modeling for English Online Polarization Detection.

This release stores completed cross-validation results, predictions by ID, metrics, configurations, logs, analyses and provenance. The completed CV runs were trained without retaining checkpoints. These archives do not recover those discarded model weights. New final-fit checkpoints can be archived separately using the same lossless format when trained.

Studies

The machine-readable archive index records each verified archive's exact Hugging Face commit and path. Each study is stored under studies/<study>/<content-fingerprint>/ with artifacts.tar.gz and a public manifest.json listing every included file, its size and SHA-256 checksum.

  • ordered_v2: 125 trained decoder-extension, parent-to-child M5 and retained-backbone head runs.
  • loss_controls_v1: 125 new supervision-scope/class-weight/lambda controls, one baseline shadow, and reused baseline results.
  • robustness_v1: independent metric audit, statistical sensitivity, score-only controls and threshold stability.
  • rq3_v1: the separate, earlier 75-run fixed-M4 head study.
  • non_rq4_completion: report tables, review codebook, provenance and RQ4 handoff.

These are distinct studies, not one pooled experiment. OOF scores are training-set cross-validation estimates, not official-test or leaderboard performance. The recorded selected configuration is pooled M5-soft with weighted conditional TYPE loss and lambda=1. Its mean OOF DET macro-F1 is 0.7937 and all-text TYPE macro-F1 is 0.3999; superiority over M4 was not established.

Archive integrity and use

Archives retain original file bytes and relative directory layout. Uploads are followed by a full, commit-pinned download, archive checksum comparison, and verification of every included member. The index includes only verified uploads. Token/credential/cache files and raw-text CSV/JSONL review files are excluded, with reasons recorded in the manifest. The public filtered archive is not a byte-for-byte copy of every local study directory; original completion markers may reference deliberately excluded files.

Download the listed archive at its pinned revision and unpack it to a fresh directory after verifying its SHA-256. The project's analysis_tools.hub_archive restore command uses a local upload receipt to perform these checks and restore the original layout. Future retained FP32 checkpoints keep checkpoints/best/training_state.pt, tokenizer, configuration and threshold metadata, compatible with the project's checkpoint prediction CLI. These archives are project artifacts, not a standard Transformers from_pretrained model export.

Scientific source snapshots and exact experiment configuration/protocol files are included where recorded. RQ4 external evaluation remains separate from this storage release. The qualitative review is assistant-assisted, not independently human-verified annotation. Refer to each study's result files for uncertainty and limitations rather than selecting the highest inspected mean across unrelated protocols.

Verified archive links

Study Included files Commit-pinned archive directory
ordered_v2 3,375 Files and checksum manifest
loss_controls_v1 3,602 Files and checksum manifest
robustness_v1 15 Files and checksum manifest
rq3_v1 1,124 Files and checksum manifest
non_rq4_completion 13 Files and checksum manifest

Storage utility

The storage tool source and project storage instructions are included for inspecting the archival/verification/restore workflow. The training implementation is supplied in the studies' recorded source snapshots.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support