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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
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---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
This model is used for detecting Machine-generated Texts. 

## Training Details

### Training Data

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
This model trains on a corpus of both human and StableLM-generated answers for questions from SQuAD1 dataset. The dataset can be found [here](https://drive.google.com/drive/folders/1p4iBeM4r-sUKe8TnS4DcYlxvQagcmola).

### Training Procedure 

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
This model is created by fine-tuning [Distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) model. The training procedure follows [He et al.](https://arxiv.org/abs/2303.14822)'s instructions.