|
--- |
|
license: creativeml-openrail-m |
|
language: |
|
- en |
|
thumbnail: |
|
tags: |
|
- text generation |
|
- conversational |
|
inference: false |
|
--- |
|
|
|
# Pygmalion 6B |
|
|
|
## Model description |
|
|
|
Pymalion 6B is a proof-of-concept dialogue model based on EleutherAI's [GPT-J-6B](https://huggingface.co/EleutherAI/gpt-j-6B). |
|
|
|
**Warning:** This model is **NOT** suitable for use by minors. It **will** output X-rated content under certain circumstances. |
|
|
|
## Training data |
|
|
|
The fine-tuning dataset consisted of 56MB of dialogue data gathered from multiple sources, which includes both real _and_ partially machine-generated conversations. |
|
|
|
## Training procedure |
|
|
|
Model weights were initialized from the `uft-6b` ConvoGPT model made available in [this commit](https://huggingface.co/hakurei/convogpt/tree/41b67bfddb6cd97070ffddf708e9720c9cb8d224/6b-uft). |
|
|
|
The model was then further fine-tuned on ~48.5 million tokens for ~5k steps on 4 NVIDIA A40s using DeepSpeed. |
|
|
|
## Intended use |
|
|
|
### The easy way |
|
|
|
We provide a notebook with a Gradio UI for playing around with the model without having to manually format inputs. This notebook can be found [here](https://github.com/PygmalionAI/gradio-ui/blob/master/notebooks/GPU.ipynb). |
|
|
|
### The manual way |
|
|
|
The model can be used as a regular text generation model, but it'll perform best if the input prompt adheres to the following format: |
|
|
|
``` |
|
[CHARACTER]'s Persona: [A few sentences about the character you want the model to play] |
|
<START> |
|
[DIALOGUE HISTORY] |
|
You: [Your input message here] |
|
[CHARACTER]: |
|
``` |
|
|
|
Where `[CHARACTER]` is, as you can probably guess, the name of the character you want the model to portray, `<START>` should be used verbatim as a delimiter token to separate persona and scenario data from the dialogue, and `[DIALOGUE HISTORY]` is chat history so the model can have some conversational context to draw from. Ideally it'll be pairs of messages like: |
|
|
|
``` |
|
[CHARACTER]: [some dialogue here] |
|
You: [your response to the dialogue above] |
|
``` |
|
|
|
Apart from chat history, you can also just add example conversations in `[DIALOGUE HISTORY]` to show how the character should speak - ideally at the beginning, so it doesn't get confused as to what's conversation history vs. character definition. |
|
|
|
## Known issues |
|
|
|
We haven't played around with the model enough to enumerate them. Feel free to give us some feedback! |
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_PygmalionAI__pygmalion-6b) |
|
|
|
| Metric | Value | |
|
|-----------------------|---------------------------| |
|
| Avg. | 36.37 | |
|
| ARC (25-shot) | 40.53 | |
|
| HellaSwag (10-shot) | 67.47 | |
|
| MMLU (5-shot) | 25.73 | |
|
| TruthfulQA (0-shot) | 32.53 | |
|
| Winogrande (5-shot) | 62.51 | |
|
| GSM8K (5-shot) | 2.05 | |
|
| DROP (3-shot) | 23.75 | |
|
|
