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---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [Jinha Kim and Jerry Chen]
- **Model type:** [LLM Prompt Classifier]
- **License:** [MIT]
- **Finetuned from model [distilgpt2]:** [https://huggingface.co/distilbert/distilgpt2]
<!-- Provide the basic links for the model. -->
- **Repository:** [https://huggingface.co/jkim03/rendezvous-radar-model]
## Uses
Used to return OpenStreetMap tags from user prompts.
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## Training Details
### Training Data
[Training data](https://github.com/rendezvous-radar/RendezvousRadar/blob/main/backend/prompt_training.csv)
### Training Procedure and Hyperparameters
[Training Script](https://github.com/rendezvous-radar/RendezvousRadar/blob/main/backend/backend/prediction/inference.py)
#### Speeds, Sizes, Times [optional]
Training runtime: 774.4637
Training samples per second: 1.704
Training steps per second: 0.857
## Evaluation
Training Loss: 1.234485605394984
Epoch: 8.0
Loss: 0.3482 |