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va-regression-english-embeddings2
Yomaldm/va-regression-english-embeddings2
va-regression-english-embeddings2 is a machine learning model from Yomaldm. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repo contains a PyTorch regression model that predicts Valence and Arousal (1–9 scale) from embedding vectors.
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Public
Updated Jan 18, 2026
Repo size
27.4 MB
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.pt27.3 MB · 100%
At a glance
- Access
- Public
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026
- SHA
- 1b20102b
Model card
From the Hugging Face model README
Valence–Arousal Regression (Embeddings → VA)
This repo contains a PyTorch regression model that predicts Valence and Arousal (1–9 scale) from embedding vectors.
Files
best_va_model_r2.pt: model weights + configx_scaler.pkl: input scaler (StandardScaler)y_scaler.pkl: target scaler (StandardScaler)meta.json: loading + feature order details
Input
Concatenate in this order:
[CLS | MAX_POOL | AVG_POOL]
Scale inputs using x_scaler.pkl.
Output
Model outputs scaled VA, then inverse-transform using y_scaler.pkl to get final VA (1–9).
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026