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Open-weight model · Text classification
by Josiahwilson Bit josiahwilson-bit/financial-obligation-baseline
financial-obligation-baseline is an open-weight model for text classification from Josiahwilson Bit, released under Apache License 2.0. Its published files total 783.1 KB.
An open, auditable classifier that reads a contract sentence and identifies its financial obligations — payment terms, renewal pricing, liquidated damages, liability caps, termination costs, audit rights, payment security.
By Josiahwilson Bit, published under apache-2.0, revision 1c7ed610088f.
An open, auditable classifier that reads a contract sentence and identifies its financial obligations — payment terms, renewal pricing, liquidated damages, liability caps, termination costs, audit rights, payment security. Every prediction is a lead, not a verdict: the model assists human review; it does not give legal advice and does not decide anything. categories (F1, F3–F8; see the taxonomy). F2 (late fees & interest) has no training data and is not covered. one-vs-rest. Small, deterministic, CPU-only, fully reproducible. or confidential contracts. vectorizer, classifier, label binarizer). - Eval set is small (56); confidence intervals are wide. - Train and eval come from the same CUAD…
An open, auditable classifier that reads a contract sentence and identifies its financial obligations — payment terms, renewal pricing, liquidated damages, liability caps, termination costs, audit rights, payment security.
Every prediction is a lead, not a verdict: the model assists human review; it does not give legal advice and does not decide anything.
baseline_tfidf_logreg.joblib (scikit-learn bundle:
vectorizer, classifier, label binarizer).| Label | F1 |
|---|---|
| F1 payment terms | 0.83 |
| F3 renewal pricing | 0.80 |
| F4 liquidated damages | 0.86 |
| F5 liability caps | 1.00 |
| F6 termination costs | 0.80 |
| F7 audit rights | 1.00 |
| F8 payment security | 1.00 |
| micro avg | 0.89 |
| macro avg | 0.90 |
import joblib
bundle = joblib.load("baseline_tfidf_logreg.joblib")
vec, clf, mlb = bundle["vectorizer"], bundle["clf"], bundle["mlb"]
s = ["The Client shall pay $12,500 per month, invoiced monthly."]
print(mlb.inverse_transform(clf.predict(vec.transform(s))))
Training code: github.com/josiahwilson-bit/financial-obligation-model (Apache-2.0). Live demo: see the linked Space.
3 files, 783.1 KB in total.
| File | Type | Size | SHA-256 |
|---|---|---|---|
| README.md | Documentation | 2.2 KB | — |
| baseline_tfidf_logreg.joblib | Other | 779.4 KB | fe878a6ffe0b |
| .gitattributes | Repository | 1.5 KB | — |
Released by Josiahwilson Bit through its official repository on Hugging Face. Read the license.
Yes. financial-obligation-baseline is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
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