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cinematic-music-descriptor-module1
suyashnpande/cinematic-music-descriptor-module1
cinematic-music-descriptor-module1 is a machine learning model from suyashnpande. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
RoBERTa-base finetuned to encode individual movie script scenes into 768-dim vectors, with multi-task heads for scene-level cinematic attributes.
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At a glance
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 8, 2026
- Updated
- Apr 8, 2026
- SHA
- 277a9da3
Model card
From the Hugging Face model README
Cinematic Music Descriptor — Module 1 – Local Scene Encoder
RoBERTa-base finetuned to encode individual movie script scenes into 768-dim vectors, with multi-task heads for scene-level cinematic attributes.
Label Schema
Classification
- emotional_valence: 4 classes
- conflict_nature: 6 classes
- acoustic_space: 6 classes
- reality_layer: 5 classes
Regression
- pacing_intensity: 1–10
- scene_arousal: 0.0–1.0
Training Details
- Base model:
roberta-base - Dataset: ~11,000 scenes from 60–80 movies
- Framework: PyTorch + HuggingFace Transformers
- Logging: Weights & Biases
Usage
import torch
from huggingface_hub import hf_hub_download
# Download weights
path = hf_hub_download(repo_id="suyashnpande/cinematic-music-descriptor-module3",
filename="module3.pt")
Citation
If you use this model, please cite the project.
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Apr 8, 2026
- Updated
- Apr 8, 2026