LUSRv0.1 / README.md
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---
license: mit
language:
- en
base_model:
- FacebookAI/roberta-base
pipeline_tag: feature-extraction
---
Consider this to be an alpha version of the LUSR model.
This checkpoint outperforms LUAR in machine-text detection and a task probes for stylistic features (mSTEL).
### Contrastive Probing for Stylistic Features
| Model Name | Accuracy |
|--------------------------------|----------|
| LUAR-MUD | 3 |
| AnnaWegmann/Style-Embedding | 22.4 |
| LUSR | 22.2 |
### Few-Shot Machine-text Detection, Query Size = 1
| Model Name | pAUC(0.01) N=1 | N=2 | N=5 |
|----------------|----------------|------|------|
| Support Size | N=1 | N=2 | N=5 |
| LUAR-MUD | 0.63 | 0.74 | 0.89 |
| Anna Wegmann | 0.58 | 0.69 | 0.84 |
| LUSR | **0.70** | **0.83** | **0.97** |