Create README.md

README.md

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+---
+base_model: Mihaiii/Pallas-0.5-LASER-0.4
+inference: false
+license: other
+license_name: yi-license
+license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
+metrics:
+- accuracy
+---
+
+This model has a [LASER](https://pratyushasharma.github.io/laser/) intervention on [Mihaiii/Pallas-0.5-LASER-0.4](https://huggingface.co/Mihaiii/Pallas-0.5-LASER-0.4) .
+
+Configs used:
+
+- lnum: 54
+- lnames: mlp (meaning: ["mlp.gate_proj.weight", "mlp.up_proj.weight", "mlp.down_proj.weight"])
+- rate: 8
+- 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|
+
+
+In order to replicate on a single A100, you can use [my branch](https://github.com/Mihaiii/laser/tree/allow-Yi-on-one-A100) (the original code will throw OOM for 34b models).