BERT-tiny-RAID / README.md
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---
license: mit
base_model:
- prajjwal1/bert-tiny
pipeline_tag: text-classification
library_name: transformers
---
# BERT-tiny RAID Detector
This model is used to detect AI-generated texts from the RAID dataset.
The model outputs a score corresponding to the likelihood that the text is human.
This model was trained on a stratified subset of RAID's training data.
# Model Details
- Base Model: `prajjwal1/bert-tiny`
- Optimizer: `Adam`
- Loss Function: `FocalLoss`
- Hyperparameters:
- Learning rate: `5e-5`
- Epochs: 5
- Learning rate: `1e-5`
- Epochs: 5