monsterapi/llama7B_alpaca-lora

We finetuned huggyllama/llama-7b on tatsu-lab/alpaca Dataset for 5 epochs or ~ 25,000 steps using MonsterAPI no-code LLM finetuner.

This dataset is HuggingFaceH4/tatsu-lab/alpaca 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: huggyllama/llama-7b
• —Dataset: tatsu-lab/alpaca
• —Learning rate: 0.0003
• —Number of epochs: 5
• —Data split: Training: 90% / Validation: 10%
• —Gradient accumulation steps: 1

license: apache-2.0 ---