---
library_name: transformers
license: mit
language:
- en
---

### Model Description

This model is used to generate the template based on the body of any emails or messages. It uses Microsoft's Phi-2 as the base model and was finetuned for 2 epochs on Google Colab's Tesla T4 GPU.

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:** Anupam Wagle
- **Model type:** Text Generation
- **Language(s) (NLP):** PyTorch
- **License:** MIT
- **Finetuned from model:** Microsoft Phi-2

## Uses
Use to generate the message based on the previous ones.


## Bias, Risks, and Limitations
For better results, increase the size of the dataset and the training epochs.


## Training Details

### Training Data

The format of the dataset used for finetuning is as follows:
[{
"input_email": "Hello Adam,\n\nCan you come to the party tonight after 6 PM?\nBest,\nSubash",
"generated_email": "Hi Eve,\n\nThank you for the invitation. I'd love to come to the party tonight after 6 PM. Looking forward to it!\n\nBest,\nAdam"
},
...]


## Technical Specifications 
This model was finetuned on Google colab's Tesla t4 GPU for a total of 2 epochs.

### Model Architecture and Objective
The base model for this was the Microsoft's  Phi-2 which was quantized using Bits and Bytes. It's primray objective is to generate messages based on previous messages.