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slurm submission log: 2024-05-20 23:23:34.884664 |
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created following sbatch script: |
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############################### |
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#!/bin/bash |
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#SBATCH --account=nlp |
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#SBATCH --cpus-per-task=16 |
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#SBATCH --dependency=afterok:7637764 |
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#SBATCH --gres=gpu:1 |
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#SBATCH --job-name=tthrush-job-2829433 |
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#SBATCH --mem=60G |
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#SBATCH --nodelist=sphinx1 |
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#SBATCH --open-mode=append |
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#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_clipped_scaled_mean/llms/pythia-70m_sciq_1/eval_job_output.txt |
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#SBATCH --partition=sphinx |
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#SBATCH --time=14-0 |
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# activate your desired anaconda environment |
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. /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/etc/profile.d/conda.sh ; conda activate pretraining-coreset-selection |
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# cd to working directory |
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cd . |
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# launch commands |
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srun --unbuffered run_as_child_processes 'lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_clipped_scaled_mean/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_clipped_scaled_mean/llms/pythia-70m_sciq_1/perf' |
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############################### |
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submission to slurm complete! |
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############################### |
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slurm submission output |
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Submitted batch job 7637765 |
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############################### |
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