| --- |
| license: other |
| library_name: pytorch |
| tags: |
| - emotion-recognition |
| - distillation |
| - efficientnet |
| - multitask |
| datasets: |
| - aussiegingersnap2/scroll-happy-emotion |
| metrics: |
| - spearmanr |
| model-index: |
| - name: v0.3e-bias-w1p5-seed-101 |
| results: |
| - task: |
| type: image-classification |
| name: Soft-target Emotion Distillation |
| dataset: |
| name: scroll-happy-emotion (training_faces, val split) |
| type: aussiegingersnap2/scroll-happy-emotion |
| metrics: |
| - type: spearmanr |
| name: Mean row Spearman (emotions) |
| value: 0.7981 |
| - type: spearmanr |
| name: Mean row Spearman (FACS) |
| value: 0.8919 |
| - type: spearmanr |
| name: Mean row Spearman (descriptions) |
| value: 0.6896 |
| - type: accuracy |
| name: Top-1 emotion vs teacher argmax |
| value: 0.3678 |
| --- |
| |
| # Scroll Happy Emotion — Student (efficientnet_b2) |
| |
| EfficientNet student distilled from Hume teacher labels on |
| [`aussiegingersnap2/scroll-happy-emotion`](https://huggingface.co/datasets/aussiegingersnap2/scroll-happy-emotion). |
| |
| Predicts continuous probabilities for **48 emotions**, **36 FACS AUs**, and |
| **27 facial descriptions** from a single face crop. |
| |
| ## Eval (held-out creators) |
| |
| | Metric | Value | |
| |---|---| |
| | Mean row Spearman (emotions) | 0.7981 | |
| | Mean row Spearman (FACS) | 0.8919 | |
| | Mean row Spearman (descriptions) | 0.6896 | |
| | Top-1 emotion vs teacher | 0.3678 | |
| | Top-3 emotion recall vs teacher | 0.6356 | |
| | Dead emotion dims (val pred std < 1e-3) | 0/48 | |
| | Val rows | 15,896 | |
| |
| Trackio run: `v0.3e-bias-w1p5-seed-101` in project `scroll-happy-emotion`. |
| |
