c41/deepopen-banking77-sam13-v1
text-classification model by c41
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Model card & documentation
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Author-reported frozen test accuracy: 94.1234% (2899/3080). This model card does not claim official leaderboard acceptance or SOTA certification. A 77-class classifier continued with sharpness-aware minimization (SAM), seed 13, from the historical full-train checkpoint. Continuation uses all 10,003 official training rows, two fixed epochs (626 updates), batch 32, maximum length 128, encoder LR 2e-6, head LR 2e-5, rho 0.05, weight decay 0.01, and BF16 training. Evaluation uses eager FP32 SDPA, batch 32, maximum length 128. The displayed checkpoint was selected AFTER observing three retrospective test results. It is the best observed seed, not an independent validation-selected improvement. SAM seeds 13/42/87 scored 2899/2896/2894 out of 3080 (mean 94.0368%). Paired confidence intervals include zero; no significant gain is established. The original historical 94.0909% result has unresolved exact reproduction drift (current eager FP32: 93.9935%). That historical weight is not this release's SAM13 weight. The former development subset was included in training and must not…
Read the full model card ↗ · Preview checked 2026-10-29T09:45:50.533Z
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Model overview
c41/deepopen-banking77-sam13-v1 is a text-classification model repository published by c41 on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- Not reported
- Recent downloads (30 days)
- 182
- Cumulative likes
- 223
- Hugging Face trending score
- 89
- Reported safetensors parameters
- 395,910,221
- Architecture
- ModernBertForSequenceClassification
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T05:52:56.000Z
- Last modified
- 2026-10-21T06:37:39.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.