| 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 | |
| ############################### | |