| #SBATCH --job-name=probes_res_v6 | |
| #SBATCH --partition=nova | |
| #SBATCH --gres=gpu:a100:1 | |
| #SBATCH --cpus-per-task=8 | |
| #SBATCH --mem=64G | |
| #SBATCH --time=04:00:00 | |
| #SBATCH --output=bert_v6_contrastive/scripts/probes_resolved_v6_%j.out | |
| #SBATCH --error=bert_v6_contrastive/scripts/probes_resolved_v6_%j.err | |
| echo "Resolved-only probes — V6 | Job $SLURM_JOB_ID | $(hostname) | $(date)" | |
| source /work/ratul1/supantha/miniconda3/etc/profile.d/conda.sh | |
| conda activate blade | |
| cd /work/ratul1/supantha/glycan-SD-VS/bert_training_v3/v3.1_cluster_training | |
| pip install -q scikit-learn umap-learn 2>/dev/null | |
| python3 -u bert_v6_contrastive/scripts/novel_probes_v2.py \ | |
| --model v6 --probe all --max_samples 999999 --resolved_only \ | |
| --output_dir bert_v6_contrastive/analysis/novel_probes_v2_resolved_v6 \ | |
| --device cuda | |
| echo "Done V6 resolved: $(date)" | |
| ls -la bert_v6_contrastive/analysis/novel_probes_v2_resolved_v6/ 2>/dev/null | |