metadata
library_name: peft
tags:
- gptj-6b
- instruct
- instruct-alpaca
- alpaca
- gpt4
datasets:
- vicgalle/alpaca-gpt4
base_model: EleutherAI/gpt-j-6b
We finetuned gptj-6b on Code-Alpaca-Instruct Dataset (vicgalle/alpaca-gpt4) for 10 epochs or ~ 50,000 steps using MonsterAPI no-code LLM finetuner.
This dataset is vicgalle/alpaca-gpt4 unfiltered,
The finetuning session got completed in 7 hours and costed us only $25 for the entire finetuning run!
Hyperparameters & Run details:
- Model Path: vicgalle/alpaca-gpt4
- Dataset: vicgalle/alpaca-gpt4
- Learning rate: 0.0003
- Number of epochs: 5
- Data split: Training: 90% / Validation: 10%
- Gradient accumulation steps: 1