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slurm submission log: 2024-05-24 11:42:10.904769
created following sbatch script:
###############################
#!/bin/bash
#SBATCH --account=nlp
#SBATCH --cpus-per-task=16
#SBATCH --dependency=afterok:7648449
#SBATCH --gres=gpu:1
#SBATCH --job-name=tthrush-job-2437039
#SBATCH --mem=60G
#SBATCH --nodelist=sphinx1
#SBATCH --open-mode=append
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/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/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_initial_init_min_threshold/llms/pythia-70m_sciq_1,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/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/perf'
###############################
submission to slurm complete!
###############################
slurm submission output
Submitted batch job 7648450
###############################
/var/lib/slurm/slurmd/job7648450/slurm_script: line 16: /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/etc/profile.d/conda.sh: No such file or directory
CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
To initialize your shell, run
$ conda init <SHELL_NAME>
Currently supported shells are:
- bash
- fish
- tcsh
- xonsh
- zsh
- powershell
See 'conda init --help' for more information and options.
IMPORTANT: You may need to close and restart your shell after running 'conda init'.
###############################
start time: 2024-05-24 11:44:53.492934
machine: sphinx1
conda env: pretraining-coreset-selection
###############################
running following processes
lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1,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/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/perf
###############################
command outputs:
2024-05-24:11:44:56,229 INFO [utils.py:145] Note: detected 255 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
2024-05-24:11:44:56,229 INFO [utils.py:148] Note: NumExpr detected 255 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
2024-05-24:11:44:56,229 INFO [utils.py:160] NumExpr defaulting to 8 threads.
2024-05-24:11:44:56,591 INFO [config.py:58] PyTorch version 2.2.2 available.
2024-05-24:11:45:00,567 INFO [__main__.py:156] Verbosity set to INFO
2024-05-24:11:45:07,210 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 7648450 ON sphinx1 CANCELLED AT 2024-05-24T11:45:39 ***
slurmstepd: error: *** STEP 7648450.0 ON sphinx1 CANCELLED AT 2024-05-24T11:45:39 ***
Received SIGTERM, job terminating, terminating 1 processes...
slurm submission log: 2024-05-24 11:46:16.500701
created following sbatch script:
###############################
#!/bin/bash
#SBATCH --account=nlp
#SBATCH --cpus-per-task=16
#SBATCH --dependency=afterok:7648481
#SBATCH --gres=gpu:1
#SBATCH --job-name=tthrush-job-372659
#SBATCH --mem=60G
#SBATCH --nodelist=sphinx1
#SBATCH --open-mode=append
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/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/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_initial_init_min_threshold/llms/pythia-70m_sciq_1,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/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/perf'
###############################
submission to slurm complete!
###############################
slurm submission output
Submitted batch job 7648482
###############################
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