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shirasko/qwen3.5-2b-crisp-golf
qwen3.5-2b-crisp-golf is a text generation model from shirasko. Use it when you need the model to write or continue text. It is set up for peft.
Downloads · 30 days
8
31% of all-time downloads
All-time downloads
26
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From the Hugging Face model README
| Field | Value |
|---|---|
| Unlearning method | CRISP |
| Base model | Qwen/Qwen3.5-2B |
| Target concept | Golf |
| Checkpoint type | LoRA Adapter |
| Rank / seed | 100 / 42 |
| Train eval protocol | mc |
Selected hyperparameters (from unlearned_checkpoints.json):
| Parameter | Value |
|---|---|
alpha | 20 |
delta_embed | 0 |
k_features | 10 |
k_features_embed | 0 |
layer_hi | 14 |
layer_lo | 4 |
layer_step | 2 |
lora_rank | 4 |
lr | 0.0001 |
n_tokens_edited | 0 |
num_epochs | 2 |
Headline scores used for checkpoint selection:
| Metric | Train (after unlearning) | Test (after unlearning) |
|---|---|---|
| Efficacy | 0.281 | 0.327 |
| Specificity | 0.903 | 0.841 |
| Harmonic mean | 0.428 | 0.47 |
| Relearning QA (MC) | — | 0.76 |
From evaluation/score_comparison.csv:
| Metric | Baseline (train) | After unlearn (train) | Baseline (test) | After unlearn (test) |
|---|---|---|---|---|
| QA accuracy | 0.82 | 0.66 | 0.74 | 0.58 |
| QA fraction | 1 | 0.719 | 1 | 0.673 |
| SimDom accuracy | 0.72 | 0.66 | 0.74 | 0.66 |
| SimDom fraction | 1 | 0.872 | 1 | 0.837 |
| MMLU accuracy | 0.56 | 0.54 | 0.588 | 0.536 |
| MMLU fraction | 1 | 0.935 | 1 | 0.846 |
| File | Description |
|---|---|
unlearned_checkpoints.json | Checkpoint metadata & hyperparameters |
evaluation/evaluation_summary.json | Full evaluation payload (train/test/relearning) |
evaluation/score_comparison.csv | Baseline vs. unlearned comparison table |