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slurm submission log: 2024-05-26 22:30:16.881627 created following sbatch script: ############################### #!/bin/bash #SBATCH --account=nlp #SBATCH --cpus-per-task=16 #SBATCH --dependency=afterok:7653571 #SBATCH --gres=gpu:1 #SBATCH --job-name=tthrush-job-1485795 #SBATCH --mem=60G #SBATCH --nodelist=sphinx1 #SBATCH --open-mode=append #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/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/test_ordinal_projection/llms/pythia-70m_sciq_1,revision=main,dtype=float16,trust_remote_code=True --tasks piqa,arc_easy,xnli_en,xnli_fr,xnli_de,xnli_es,sciq,lambada --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/perf' ############################### submission to slurm complete! ############################### slurm submission output Submitted batch job 7653572 ############################### slurm submission log: 2024-05-26 22:32:57.780747 created following sbatch script: ############################### #!/bin/bash #SBATCH --account=nlp #SBATCH --cpus-per-task=16 #SBATCH --dependency=afterok:7653601 #SBATCH --gres=gpu:1 #SBATCH --job-name=tthrush-job-1570626 #SBATCH --mem=60G #SBATCH --nodelist=sphinx1 #SBATCH --open-mode=append #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/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/test_ordinal_projection/llms/pythia-70m_sciq_1,revision=main,dtype=float16,trust_remote_code=True --tasks piqa,arc_easy,xnli_en,xnli_fr,xnli_de,xnli_es,sciq,lambada --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/perf' ############################### submission to slurm complete! ############################### slurm submission output Submitted batch job 7653602 ############################### slurm submission log: 2024-05-26 22:58:10.061545 created following sbatch script: ############################### #!/bin/bash #SBATCH --account=nlp #SBATCH --cpus-per-task=16 #SBATCH --dependency=afterok:7653656 #SBATCH --gres=gpu:1 #SBATCH --job-name=tthrush-job-2260487 #SBATCH --mem=60G #SBATCH --nodelist=sphinx1 #SBATCH --open-mode=append #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/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/test_ordinal_projection/llms/pythia-70m_sciq_1,revision=main,dtype=float16,trust_remote_code=True --tasks piqa,arc_easy,xnli_en,xnli_fr,xnli_de,xnli_es,sciq,lambada --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/perf' ############################### submission to slurm complete! ############################### slurm submission output Submitted batch job 7653657 ############################### slurm submission log: 2024-05-26 23:16:43.694904 created following sbatch script: ############################### #!/bin/bash #SBATCH --account=nlp #SBATCH --cpus-per-task=16 #SBATCH --dependency=afterok:7653713 #SBATCH --gres=gpu:1 #SBATCH --job-name=tthrush-job-1947317 #SBATCH --mem=60G #SBATCH --nodelist=sphinx1 #SBATCH --open-mode=append #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/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/test_ordinal_projection/llms/pythia-70m_sciq_1,revision=main,dtype=float16,trust_remote_code=True --tasks piqa,arc_easy,xnli_en,xnli_fr,xnli_de,xnli_es,sciq,lambada --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_projection/llms/pythia-70m_sciq_1/perf' ############################### submission to slurm complete! ############################### slurm submission output Submitted batch job 7653714 ############################### |