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DATA-ADAPT/offline-random

sourceHugging Faceupdated 6mo agoView on Hugging Face

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offline-random

Offline training with randomly selected data (2.5% of full dataset).

Note: This checkpoint is from a single random seed (seed=3) and a specific training step (step 1040). Results may vary across seeds.

Details

Key	Value
Base model	`meta-llama/Llama-2-7b-hf`
Task	MMLU
Data selection	Random Selection
Data ratio	2.5%
Online	False
LoRA rank	128
LoRA alpha	512
Target modules	qproj, kproj, vproj, oproj
Seed	3
Checkpoint step	1040

Usage

python

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf")
model = PeftModel.from_pretrained(base_model, "DATA-ADAPT/offline-random")
tokenizer = AutoTokenizer.from_pretrained("DATA-ADAPT/offline-random")