| slurm submission log: 2024-05-11 17:54:08.850609 | |
| created following sbatch script: | |
| ############################### | |
| #!/bin/bash | |
| #SBATCH --account=nlp | |
| #SBATCH --cpus-per-task=16 | |
| #SBATCH --dependency=afterok: | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --job-name=tthrush-job-2902311 | |
| #SBATCH --mem=60G | |
| #SBATCH --nodelist=sphinx2 | |
| #SBATCH --open-mode=append | |
| #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_5/pythia-70m_sciq/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_5/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_5/pythia-70m_sciq/perf' | |
| ############################### | |
| submission to slurm complete! | |
| ############################### | |
| slurm submission output | |
| sbatch: error: Batch job submission failed: Job dependency problem | |
| ############################### | |
| slurm submission log: 2024-05-11 17:55:07.106159 | |
| created following sbatch script: | |
| ############################### | |
| #!/bin/bash | |
| #SBATCH --account=nlp | |
| #SBATCH --cpus-per-task=16 | |
| #SBATCH --dependency=afterok:7598873 | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --job-name=tthrush-job-552824 | |
| #SBATCH --mem=60G | |
| #SBATCH --nodelist=sphinx2 | |
| #SBATCH --open-mode=append | |
| #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_5/pythia-70m_sciq/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_5/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_5/pythia-70m_sciq/perf' | |
| ############################### | |
| submission to slurm complete! | |
| ############################### | |
| slurm submission output | |
| Submitted batch job 7598874 | |
| ############################### | |
| ############################### | |
| start time: 2024-05-11 17:58:20.674188 | |
| machine: sphinx2 | |
| conda env: pretraining-coreset-selection | |
| ############################### | |
| running following processes | |
| lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_5/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_5/pythia-70m_sciq/perf | |
| ############################### | |
| command outputs: | |
| 2024-05-11:17:58:30,428 INFO [utils.py:145] Note: detected 255 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable. | |
| 2024-05-11:17:58:30,429 INFO [utils.py:148] Note: NumExpr detected 255 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8. | |
| 2024-05-11:17:58:30,429 INFO [utils.py:160] NumExpr defaulting to 8 threads. | |
| 2024-05-11:17:58:31,929 INFO [config.py:58] PyTorch version 2.2.2 available. | |
| 2024-05-11:17:58:45,100 INFO [__main__.py:156] Verbosity set to INFO | |
| 2024-05-11:17:59:06,539 WARNING [__init__.py:194] Some tasks could not be loaded due to missing dependencies. Run with `--verbosity DEBUG` for full details. | |
| srun: Job step aborted: Waiting up to 32 seconds for job step to finish. | |
| slurmstepd: error: *** JOB 7598874 ON sphinx2 CANCELLED AT 2024-05-11T17:59:25 *** | |
| slurmstepd: error: *** STEP 7598874.0 ON sphinx2 CANCELLED AT 2024-05-11T17:59:25 *** | |
| Received SIGTERM, job terminating, terminating 1 processes... | |
| slurm submission log: 2024-05-11 18:01:39.856307 | |
| created following sbatch script: | |
| ############################### | |
| #!/bin/bash | |
| #SBATCH --account=nlp | |
| #SBATCH --cpus-per-task=16 | |
| #SBATCH --dependency=afterok:7598912 | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --job-name=tthrush-job-2986377 | |
| #SBATCH --mem=60G | |
| #SBATCH --nodelist=sphinx2 | |
| #SBATCH --open-mode=append | |
| #SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_5/pythia-70m_sciq/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_5/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_5/pythia-70m_sciq/perf' | |
| ############################### | |
| submission to slurm complete! | |
| ############################### | |
| slurm submission output | |
| Submitted batch job 7598913 | |
| ############################### | |