File size: 1,342 Bytes
4723235 0729830 4723235 0729830 4723235 0729830 4723235 0729830 4723235 0729830 4723235 0729830 4723235 0729830 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
slurm submission log: 2024-05-09 15:03:33.472877 created following sbatch script: ############################### #!/bin/bash #SBATCH --account=nlp #SBATCH --cpus-per-task=16 #SBATCH --dependency=afterok:7592321 #SBATCH --gres=gpu:1 #SBATCH --job-name=tthrush-job-2121767 #SBATCH --mem=60G #SBATCH --nodelist=sphinx2 #SBATCH --open-mode=append #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_2/pythia-70m_sciq/eval_job_output.txt #SBATCH --partition=sphinx #SBATCH --time=14-0 # activate your desired anaconda environment . /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/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_2/pythia-70m_sciq,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_2/pythia-70m_sciq/perf' ############################### submission to slurm complete! ############################### slurm submission output Submitted batch job 7592322 ############################### |