|
--- |
|
license: cc-by-nc-4.0 |
|
language: |
|
- en |
|
tags: |
|
- text-generation |
|
datasets: |
|
- stanford_alpaca |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
<br><br> |
|
|
|
<p align="center"> |
|
<img src="https://github.com/jina-ai/finetuner/blob/main/docs/_static/finetuner-logo-ani.svg?raw=true" alt="Finetuner logo: Finetuner helps you to create experiments in order to improve embeddings on search tasks. It accompanies you to deliver the last mile of performance-tuning for neural search applications." width="150px"> |
|
</p> |
|
|
|
|
|
<p align="center"> |
|
<b>LLM Generation models trained by Jina AI, Finetuner team.</b> |
|
</p> |
|
|
|
This repo contains the full weights (8bit) for Falcon-7b |
|
fit on the [Code Alpaca](https://huggingface.co/datasets/sahil2801/CodeAlpaca-20k) dataset. |
|
|
|
## Reproduction |
|
This version of the weights was trained with the following hyperparameters: |
|
|
|
- Epochs: 6 |
|
- Batch size: 128 |
|
- Micro batch size: 8 |
|
- Learning rate: 3e-4 |
|
- Lora _r_: 8 |
|
- Lora target modules: query_key_value |
|
|
|
You can reproduce using this repository: |
|
|
|
https://github.com/jina-ai/jerboa |
|
|
|
Make sure you install requirements and finetune using this command using the following command: |
|
|
|
``` |
|
python finetune.py \ |
|
--base-model tiiuae/falcon-7b --lora-target-modules query_key_value \ |
|
--data-path sahil2801/CodeAlpaca-20k --output-dir ./lora-alpaca-code \ |
|
--batch-size 128 --micro-batch-size 8 --eval-limit 45 \ |
|
--eval-file code_eval.jsonl --wandb-project jerboa --wandb-log-model \ |
|
--wandb-watch gradients --num-epochs 6 |
|
``` |
