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dc-d5-legalbert-v1
vekamin/dc-d5-legalbert-v1
dc-d5-legalbert-v1 is a text classification model from vekamin. Use it when you need a label for a piece of text. The card lists the license as mit.
Fine-tuned from nlpaueb/legal-bert-base-uncased for 4-class classification of ECtHR paragraphs on deference dimension D5 (Structural Rationale for Restraint).
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026
- SHA
- 49ca7763
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Model card
From the Hugging Face model README
DC-D5-LegalBERT v1: Deference Classifier — Structural Rationale for Restraint
Fine-tuned from nlpaueb/legal-bert-base-uncased for 4-class classification of ECtHR paragraphs
on deference dimension D5 (Structural Rationale for Restraint).
Classes: ND (0) | MD (1) | HD (2) | NA (3)
Scoring rule: continuous deference score = 0×p(ND) + 0.5×p(MD) + 1.0×p(HD); NaN if p(NA) is argmax.
Training data snapshot (v1)
- Train paragraphs : 549
- Val paragraphs : 164
Validation performance (v1)
- Best macro-F1 : 0.8239
- Mean macro-F1 : 0.7496 ± 0.0456
- All seeds : [0.8239, 0.6903, 0.7574, 0.7609, 0.7155]
Training setup
- Regime : small (10 epochs, batch size 8, 5 seeds)
- Learning rate : 2e-05
- Seeds tested : [0, 1, 2, 3, 4]
Intended use
Part of a Master's Thesis measuring judicial deference in ECtHR Article 8 migration cases. Not intended for production use.
- Task
- Text Classification
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026