Downloads · 30 days
0
HarmoniCA_depression
julia-pfarr/HarmoniCA_depression
HarmoniCA_depression is a text classification model from julia-pfarr. Use it when you need a label for a piece of text. It is set up for sentence-transformers. The card lists the license as cc-by-4.0.
Part of the HarmoniCA collection for harmonising psychiatric questionnaire items across studies. This model assigns items from depression questionnaires to one of five theoretically motivated symptom dimensions.
Access
Public
Updated Jun 8, 2026
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- sentence-transformers
- License
- cc-by-4.0
- Access
- Public
- Created
- Jun 8, 2026
- Updated
- Jun 8, 2026
- SHA
- 23ac86a3
Try a prompt
Base models
Spaces
Model card
From the Hugging Face model README
HarmoniCA — Depression Model
Part of the HarmoniCA collection for harmonising psychiatric questionnaire items across studies. This model assigns items from depression questionnaires to one of five theoretically motivated symptom dimensions.
Dimensions
| ID | Label | Description |
|---|---|---|
| 1 | Mood & Affective Symptoms | dysphoria, sadness, hopelessness, feeling low |
| 2 | Cognitive & Self-Perception | guilt, worthlessness, self-criticism, pessimism, narratives of the past and future |
| 3 | Somatic & Vegetative Symptoms | sleep, appetite, fatigue, weight changes, physical symptoms |
| 4 | Activity & Interest Deficit | anhedonia, loss of interest, psychomotor signs, reduced functioning |
| 5 | Anxiety & Distress | irritability, agitation, worry, tension, nervousness |
Items rated as not belonging to the depression construct are assigned dimension -1 (Does not fit).
Model Architecture
- Type: ContrastiveModel (contrastive fine-tuning of a sentence transformer)
- Base encoder: BAAI/bge-large-en-v1.5
Training Data
- Training items: 203 expert-labeled questionnaire items (164 original + 27 augmented + 12 expert-reviewed)
- Questionnaires: BDI, DSI, GDS, HADS, HAMD, MADRS, MDS-UPDRS, MFQ, NMSQuest, NMSS, NPI, PHQ-9, SCL-90, SDS, plus data augmentation
- Labels: Expert consensus from two rounds of surveys (psychiatrists/neurologists)
Evaluation
Evaluated on 126 held-out items from unseen questionnaires against expert labels.
| Cohen's κ | Accuracy |
|---|---|
| 0.746 | 79.4% |
Cross-validation (leave-one-questionnaire-out, 14 folds): mean accuracy 86.9% ± 11.9%.
Limitations
- Trained and validated on Parkinson's disease cohort questionnaires; performance may differ in other populations.
- Dimension structure reflects theoretical consensus among a specific expert panel and may not match all theoretical frameworks.
Citation
in preparation
- Task
- Text Classification
- Library
- sentence-transformers
- License
- cc-by-4.0
- Languages
- en
- Created
- Jun 8, 2026
- Updated
- Jun 8, 2026