| #!/bin/bash |
| |
| |
| set -u |
| cd /workspace/jspace-unlearning |
| PY=/workspace/venvs/openunlearn/bin/python |
| GPU=$1; NAME=$2 |
| CK=/workspace/models/h3/$NAME |
| RETAIN_LOGS=/workspace/jspace-unlearning/refs/tofu_Llama-3.2-1B-Instruct_retain90__TOFU_EVAL.json |
| [ -f "$CK/model.safetensors" ] || { echo "NO-MODEL $NAME"; exit 1; } |
|
|
| |
| if [ ! -f "/workspace/open-unlearning/saves/eval/h3_$NAME/TOFU_SUMMARY.json" ]; then |
| echo "H3EVAL-BEHAV $NAME $(date +%H:%M:%S)" |
| (cd /workspace/open-unlearning && CUDA_VISIBLE_DEVICES=$GPU HF_DATASETS_CACHE=/workspace/hf_cache_ou HF_HUB_DISABLE_PROGRESS_BARS=1 \ |
| $PY src/eval.py --config-name=eval.yaml experiment=eval/tofu/default.yaml \ |
| model=Llama-3.2-1B-Instruct forget_split=forget10 holdout_split=holdout10 \ |
| model.model_args.pretrained_model_name_or_path="$CK" \ |
| model.model_args.attn_implementation=sdpa \ |
| model.tokenizer_args.pretrained_model_name_or_path="$CK" \ |
| retain_logs_path=$RETAIN_LOGS task_name=h3_$NAME \ |
| > /workspace/jspace-unlearning/logs/h3_eval_$NAME.log 2>&1) || echo "H3EVAL-BEHAV-FAIL $NAME" |
| fi |
|
|
| |
| mkdir -p results/h3_jocc results/h3_jocc_v2 |
| [ -f "results/h3_jocc/$NAME.npz" ] || CUDA_VISIBLE_DEVICES=$GPU python src/readout_jocc.py \ |
| --model_dir "$CK" --lens lenses/full_1b.pt --out "results/h3_jocc/$NAME.npz" > /dev/null 2>&1 || echo "JOCC1-FAIL $NAME" |
| [ -f "results/h3_jocc_v2/$NAME.npz" ] || CUDA_VISIBLE_DEVICES=$GPU python src/readout_jocc_v2.py \ |
| --model_dir "$CK" --lens lenses/full_1b.pt --out "results/h3_jocc_v2/$NAME.npz" > /dev/null 2>&1 || echo "JOCC2-FAIL $NAME" |
|
|
| |
| bash scripts/relearn_h2.sh $GPU "$CK" h3rl_$NAME 2e-05 results/h2_relearn_set.json > logs/h3_relearn_$NAME.log 2>&1 || echo "RELEARN-FAIL $NAME" |
|
|
| echo "H3EVAL-DONE $NAME $(date +%H:%M:%S)" |
|
|
