slurm submission log: 2024-05-13 22:25:17.263290 created following sbatch script: ############################### #!/bin/bash #SBATCH --account=nlp #SBATCH --cpus-per-task=16 #SBATCH --dependency=afterok:7608407 #SBATCH --gres=gpu:1 #SBATCH --job-name=tthrush-job-3643749 #SBATCH --mem=60G #SBATCH --nodelist=sphinx2 #SBATCH --open-mode=append #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada/eval_job_output.txt #SBATCH --partition=sphinx #SBATCH --time=14-0 # activate your desired anaconda environment . /nlp/scr/tthrush/miniconda3/etc/profile.d/conda.sh ; conda activate pretraining-coreset-selection # cd to working directory cd . # launch commands srun --unbuffered run_as_child_processes 'lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada,revision=main,dtype=float16,trust_remote_code=True --tasks xnli_en,xnli_fr,sciq,piqa,lambada,arc_easy --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada/perf' ############################### submission to slurm complete! ############################### slurm submission output Submitted batch job 7608408 ###############################