| #SBATCH --job-name=novel_probes | |
| #SBATCH --partition=nova | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --cpus-per-task=8 | |
| #SBATCH --mem=32G | |
| #SBATCH --time=02:00:00 | |
| #SBATCH --output=bert_v6_contrastive/scripts/novel_probes_%j.out | |
| #SBATCH --error=bert_v6_contrastive/scripts/novel_probes_%j.err | |
| echo "========================================" | |
| echo "Novel Embedding Probes" | |
| echo "Job ID: $SLURM_JOB_ID" | |
| echo "Node: $(hostname)" | |
| echo "Started: $(date)" | |
| echo "========================================" | |
| cd /work/ratul1/supantha/glycan-SD-VS/bert_training_v3/v3.1_cluster_training | |
| source /work/ratul1/supantha/miniconda3/etc/profile.d/conda.sh | |
| conda activate glycan_bert 2>/dev/null || source activate glycan_bert 2>/dev/null || true | |
| pip install -q scikit-learn umap-learn scipy 2>/dev/null | |
| SCRIPT=bert_v6_contrastive/scripts/novel_probes.py | |
| echo "" | |
| echo "========== V5 — All 7 Novel Probes ==========" | |
| python3 $SCRIPT --model v5 --probe all --max_samples 2000 | |
| echo "" | |
| echo "Generated files:" | |
| ls -la bert_v6_contrastive/analysis/novel_probes_v5/ 2>/dev/null | |
| echo "" | |
| echo "Completed: $(date)" | |