Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
Synthetic
License:
Add Phocinae-Largha-150M-v1 (specialist, fitted on train) to Table 2
#21
by perrylink - opened
This PR adds Phocinae-Largha-150M-v1 (our model) to Table 2 (Fitted or fine-tuned on train), referencing benchmark discussion #18.
- Model repository: Phocinae/Phocinae-Largha-150M-v1
- Architecture: mmBERT-small encoder, 144.3M params — single forward pass, 0 output tokens
- Mode: specialist — fitted on this dataset's
trainsplit (with flip-augmented option reorderings) - Metrics (400 cases / 2,000 decisions, self-reported): Accuracy 0.906 · KL from gold 0.0548 · Brier 0.0248 · ECE 0.2519 (our definition) · p50 latency 21.0 ms (RTX 5090, fp16)
- Context: the score is above the 0.735 teacher self-agreement reference — per the dataset card's own note, we flag that as a label-specific-overfitting caution (disclosed on our card and in BENCHMARKS.md); zh (machine-translated cases) 0.848.
- Artifacts: full numbers, methodology and evaluation code: BENCHMARKS.md.
perrylink changed pull request status to open
codelion changed pull request status to merged