---
license: bsd-3-clause
datasets:
- daily_dialog
language:
- en
tags:
- chat
- dialog
- natural language
- codegen
widget:
- text: "Bot responds in friendly, longer messages.\n<Chat history>\n[User]: 'Hello!'\n[Bot]: 'Hi there! :D How are you?'\n[User]: 'Good, you?'\n[Bot]: '"
  example_title: "Greeting chat"
co2_eq_emissions:
  emissions: 40
  source: https://mlco2.github.io/impact/#compute
  training_type: fine-tuning
  geographical_location: Oregon, USA
  hardware_used: 1x NVIDIA P100, Kaggle
library_name: transformers
---

# DailyChat-350M
A finetuned version of [Codegen-350M-nl](https://huggingface.co/Salesforce/Codegen-350M-nl) on the 'daily_dialog' dataset.
The idea of this model is to create one that is capable of holding a decent conversation. 

# Training Procedure
This was trained on Kaggle's servers using 1x NVIDIA P100.
This model was trained for 1 epoch with learning rate 1e-2.

# Biases & Limitations
This likely contains the same biases and limitations as the original model that it is based on, and additionally heavy biases from the dataset.
It *can* generate offensive input when prompted, so user discretion is advised. 

# Intended Use
Dialog generation, chat agents.