aiden-jeon/minipfn-tabpfn-v1
tabular-classification model by aiden-jeon
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Model card & documentation
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A from-scratch reproduction of TabPFN (Hollmann et al., arXiv:2207.01848, ICLR 2023), trained with the paper's prior and budget. Code: Aiden-Jeon/minipfn (src/minipfn/tabpfn/). This is not the official TabPFN checkpoint. For the official models see PriorLabs/TabPFN. Figures and numbers on this card come from MLflow run 977614dce2104e44915f81b02705a178. Train CE is the mean loss over each 25-step window, every step on a freshly sampled prior batch; val CE and accuracy are on 64 fixed prior datasets, logged every 500 steps. Final val CE 0.493, val accuracy 0.770. Mean ROC AUC over the 18 OpenML-CC18 datasets in Table 1 (5 splits each). Per dataset, against the best of the three sklearn…
Read the full model card ↗ · Preview checked 2026-11-01T02:36:34.904Z
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Model overview
aiden-jeon/minipfn-tabpfn-v1 is a tabular-classification model repository published by aiden-jeon on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- tabular-classification
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 25,821,706
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-27T06:42:45.000Z
- Last modified
- 2026-10-27T06:42:56.000Z
Compatibility and lineage
Language coverage was not reported.
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 2026-10-27T06:47:19.891Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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