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
Downloads last month
151
Safetensors
Model size
4.39M params
Tensor type
F32
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for ShantanuT01/BERT-tiny-RAID

Finetuned
(77)
this model
Quantizations
1 model