We finetuned GPT-J 6B on Code-Alpaca-Instruct Dataset (ewof/code-alpaca-instruct-unfiltered) for 5 epochs or ~ 25,000 steps using MonsterAPI no-code LLM finetuner.

This dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment.

The finetuning session got completed in 206 minutes and costed us only $8 for the entire finetuning run!

Hyperparameters & Run details:

Model Path: EleutherAI/gpt-j-6b
Dataset: ewof/code-alpaca-instruct-unfiltered
Learning rate: 0.0003
Number of epochs: 5
Data split: Training: 90% / Validation: 10%
Gradient accumulation steps: 1

Loss metrics:

gvij/gpt-j-code-alpaca-instruct

Hyperparameters & Run details:

license: apache-2.0

gvij/
gpt-j-code-alpaca-instruct