BERT-tiny-RAID (ONNX)
This is an ONNX version of ShantanuT01/BERT-tiny-RAID. It was automatically converted and uploaded using this Hugging Face Space.
Usage with Transformers.js
See the pipeline documentation for text-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextClassificationPipeline
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
- Learning rate:
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