Pallas-0.5-LASER-0.1/README.md

base_model, inference, license, license_name, license_link, metrics

base_model	inference	license	license_name	license_link	metrics
Mihaiii/Pallas-0.5	false	other	yi-license	https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE	accuracy

This is the first LASER intervention on Pallas-0.5 . More will follow using the previous results as base.

Configs used:

• lnum: 59
• lnames: attn (meaning: ["self_attn.k_proj.weight", "self_attn.q_proj.weight", "self_attn.v_proj.weight", "self_attn.o_proj.weight"])
• rate: 6.0
• dataset: bigbench (subset: causal_judgement)
• intervention type: rank-reduction

Name	Validation acc (higher is better)	Validation logloss (lower is better)	Test acc (higher is better)	Test logloss (lower is better)
Pallas-0.5	55.263	1.650	60.526	1.463
Pallas-0.5-LASER-0.1	55.263	1.639	61.184	1.451
Pallas-0.5-LASER-0.2	55.263	1.646	61.184	1.458
Pallas-0.5-LASER-0.3	55.263	1.575	61.842	1.382
Pallas-0.5-LASER-0.4	55.263	1.525	61.842	1.326
Pallas-0.5-LASER-0.5	55.263	1.484	61.842	1.297
Pallas-0.5-LASER-0.6	55.263	1.455	61.184	1.283

In order to replicate on a single A100, you can use my branch (the original code will throw OOM for 34b models).