pythia-70m_xnli_es / eval_job_output.txt
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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
###############################