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shirasko/gemma-2-2b-it-pisces-baseball

sourceHugging Faceupdated 2mo agoView on Hugging Face
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Unlearned Checkpoint

FieldValue
Unlearning methodPISCES
Base modelgoogle/gemma-2-2b-it
Target conceptBaseball
Checkpoint typeFull Model Weights
Rank / seed100 / 42
Train eval protocolopen

Unlearning Configuration

Selected hyperparameters (from unlearned_checkpoints.json):

ParameterValue
delta_embed0
k_features_embed0
k_pisces0.5
n_tokens_edited0
ratio_thresh2
value_pisces13

Primary Unlearning Metrics (held-out test, MC protocol)

Headline scores used for checkpoint selection:

MetricTrain (after unlearning)**Test (after unlearning)**
Efficacy0.9671
Specificity0.8380.767
Harmonic mean0.8980.868

Full Evaluation (baseline → unlearned)

From evaluation/score_comparison.csv:

MetricBaseline (train)After unlearn (train)Baseline (test)**After unlearn (test)**
QA accuracy0.60.020.60
QA fraction10.03310
SimDom accuracy0.80.660.880.66
SimDom fraction10.82510.75
MMLU accuracy0.520.480.5510.486
MMLU fraction10.85210.784

Files in This Repository

FileDescription
unlearned_checkpoints.jsonCheckpoint metadata & hyperparameters
evaluation/evaluation_summary.jsonFull evaluation payload (train/test/relearning)
evaluation/score_comparison.csvBaseline vs. unlearned comparison table