We finetuned Llama2-7B on Code-Alpaca-Instruct Dataset (sahil2801/CodeAlpaca-20k) 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 4 hours and costed us only $16 for the entire finetuning run!

Hyperparameters & Run details:

Model Path: meta-llama/Llama-2-7b
Dataset: sahil2801/CodeAlpaca-20k
Learning rate: 0.0003
Number of epochs: 5
Data split: Training: 90% / Validation: 10%
Gradient accumulation steps: 1

Loss metrics:

monsterapi/CodeAlpaca_LLAMA2_7B

Hyperparameters & Run details:

license: apache-2.0

monsterapi/
CodeAlpaca_LLAMA2_7B