Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
Synthetic
License:
Add ProKope-421M (Alan Canto) to Table 2 (fine-tuned models)
#20
by AlanCantoFTW - opened
This PR adds ProKope-421M (by Alan Canto) to Table 2 (Fitted or fine-tuned on train), referencing benchmark discussion #11.
- Model Repository: ProKope-AI/ProKope-421M
- Creator & Lead Architect: Alan Canto
- Architecture: 421M Non-Autoregressive Decision Engine (ModernBERT-large backbone + Geodesic SLERP Multi-Head)
- Mode: Specialist (fine-tuned on
trainsplit, single forward pass, 0 output tokens) - Verified Metrics (400 cases / 2,000 decisions):
- Accuracy:
0.714(71.40% β 1,428 / 2,000) - Brier Score:
0.071 - ECE:
0.432 - Latency:
<25 ms(41.95 ms on RTX 3050)
- Accuracy:
- Artifacts: Verified
.eval_results/typed-decisions.yamland fulleval_predictions.jsonlare live in the model repository.