|
slurm submission log: 2024-05-25 22:01:15.907170 |
|
created following sbatch script: |
|
|
|
############################### |
|
|
|
#!/bin/bash |
|
|
|
#SBATCH --account=nlp |
|
#SBATCH --cpus-per-task=16 |
|
#SBATCH --dependency=afterok:7651386 |
|
#SBATCH --gres=gpu:1 |
|
#SBATCH --job-name=tthrush-job-3177077 |
|
#SBATCH --mem=60G |
|
#SBATCH --nodelist=sphinx1 |
|
#SBATCH --open-mode=append |
|
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_1/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/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_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_constrained_big_upsample/llms/pythia-70m_xnli_es_1/perf' |
|
|
|
############################### |
|
|
|
submission to slurm complete! |
|
|
|
|
|
############################### |
|
slurm submission output |
|
|
|
Submitted batch job 7651387 |
|
|
|
|
|
|
|
############################### |
|
|
|
slurm submission log: 2024-05-25 22:02:25.155540 |
|
created following sbatch script: |
|
|
|
############################### |
|
|
|
#!/bin/bash |
|
|
|
#SBATCH --account=nlp |
|
#SBATCH --cpus-per-task=16 |
|
#SBATCH --dependency=afterok:7651417 |
|
#SBATCH --gres=gpu:1 |
|
#SBATCH --job-name=tthrush-job-3723367 |
|
#SBATCH --mem=60G |
|
#SBATCH --nodelist=sphinx1 |
|
#SBATCH --open-mode=append |
|
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_1/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/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_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_constrained_big_upsample/llms/pythia-70m_xnli_es_1/perf' |
|
|
|
############################### |
|
|
|
submission to slurm complete! |
|
|
|
|
|
############################### |
|
slurm submission output |
|
|
|
Submitted batch job 7651418 |
|
|
|
|
|
|
|
############################### |
|
|
|
slurm submission log: 2024-05-25 22:12:50.394186 |
|
created following sbatch script: |
|
|
|
############################### |
|
|
|
#!/bin/bash |
|
|
|
#SBATCH --account=nlp |
|
#SBATCH --cpus-per-task=16 |
|
#SBATCH --dependency=afterok:7651458 |
|
#SBATCH --gres=gpu:1 |
|
#SBATCH --job-name=tthrush-job-3832230 |
|
#SBATCH --mem=60G |
|
#SBATCH --nodelist=sphinx1 |
|
#SBATCH --open-mode=append |
|
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_1/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/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_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_constrained_big_upsample/llms/pythia-70m_xnli_es_1/perf' |
|
|
|
############################### |
|
|
|
submission to slurm complete! |
|
|
|
|
|
############################### |
|
slurm submission output |
|
|
|
Submitted batch job 7651459 |
|
|
|
|
|
|
|
############################### |
|
|
|
slurm submission log: 2024-05-25 22:15:55.997250 |
|
created following sbatch script: |
|
|
|
############################### |
|
|
|
#!/bin/bash |
|
|
|
#SBATCH --account=nlp |
|
#SBATCH --cpus-per-task=16 |
|
#SBATCH --dependency=afterok:7651486 |
|
#SBATCH --gres=gpu:1 |
|
#SBATCH --job-name=tthrush-job-2732481 |
|
#SBATCH --mem=60G |
|
#SBATCH --nodelist=sphinx1 |
|
#SBATCH --open-mode=append |
|
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_1/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/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_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_constrained_big_upsample/llms/pythia-70m_xnli_es_1/perf' |
|
|
|
############################### |
|
|
|
submission to slurm complete! |
|
|
|
|
|
############################### |
|
slurm submission output |
|
|
|
Submitted batch job 7651487 |
|
|
|
|
|
|
|
############################### |
|
|
|
slurm submission log: 2024-05-25 22:18:14.995526 |
|
created following sbatch script: |
|
|
|
############################### |
|
|
|
#!/bin/bash |
|
|
|
#SBATCH --account=nlp |
|
#SBATCH --cpus-per-task=16 |
|
#SBATCH --dependency=afterok:7651516 |
|
#SBATCH --gres=gpu:1 |
|
#SBATCH --job-name=tthrush-job-3308982 |
|
#SBATCH --mem=60G |
|
#SBATCH --nodelist=sphinx1 |
|
#SBATCH --open-mode=append |
|
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_1/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/test_ordinal_constrained_big_upsample/llms/pythia-70m_xnli_es_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_constrained_big_upsample/llms/pythia-70m_xnli_es_1/perf' |
|
|
|
############################### |
|
|
|
submission to slurm complete! |
|
|
|
|
|
############################### |
|
slurm submission output |
|
|
|
Submitted batch job 7651517 |
|
|
|
|
|
|
|
############################### |
|
|
|
|