Training in progress, epoch 1
Browse files- eval_job_output.txt +6 -92
- logs/events.out.tfevents.1716638120.sphinx2 +3 -0
- model.safetensors +1 -1
- train_job_output.txt +0 -0
- training_args.bin +1 -1
eval_job_output.txt
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slurm submission log: 2024-05-24
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created following sbatch script:
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###############################
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#SBATCH --account=nlp
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#SBATCH --cpus-per-task=16
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#SBATCH --dependency=afterok:
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-
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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/
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#SBATCH --partition=sphinx
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#SBATCH --time=14-0
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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/
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###############################
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###############################
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slurm submission output
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Submitted batch job
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###############################
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/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
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CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
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To initialize your shell, run
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$ conda init <SHELL_NAME>
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Currently supported shells are:
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- bash
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- fish
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- tcsh
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- xonsh
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See 'conda init --help' for more information and options.
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IMPORTANT: You may need to close and restart your shell after running 'conda init'.
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###############################
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start time: 2024-05-24 11:44:53.492934
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machine: sphinx1
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conda env: pretraining-coreset-selection
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###############################
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running following processes
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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
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###############################
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command outputs:
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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.
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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.
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2024-05-24:11:44:56,229 INFO [utils.py:160] NumExpr defaulting to 8 threads.
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2024-05-24:11:44:56,591 INFO [config.py:58] PyTorch version 2.2.2 available.
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2024-05-24:11:45:00,567 INFO [__main__.py:156] Verbosity set to INFO
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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.
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srun: Job step aborted: Waiting up to 32 seconds for job step to finish.
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slurmstepd: error: *** JOB 7648450 ON sphinx1 CANCELLED AT 2024-05-24T11:45:39 ***
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slurmstepd: error: *** STEP 7648450.0 ON sphinx1 CANCELLED AT 2024-05-24T11:45:39 ***
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Received SIGTERM, job terminating, terminating 1 processes...
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slurm submission log: 2024-05-24 11:46:16.500701
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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:7648481
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-372659
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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_constrained_initial_init_min_threshold/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_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'
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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 7648482
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slurm submission log: 2024-05-24 23:54:02.801635
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created following sbatch script:
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###############################
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#SBATCH --account=nlp
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#SBATCH --cpus-per-task=16
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#SBATCH --dependency=afterok:7649441
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-1955160
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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_constrained_big_diff/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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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_constrained_big_diff/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_big_diff/llms/pythia-70m_sciq_1/perf'
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###############################
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###############################
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slurm submission output
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Submitted batch job 7649442
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logs/events.out.tfevents.1716638120.sphinx2
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a86e8c9ab98a468226f77dd552822075f74dade9445693350b07056ae1a9622
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size 11757
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 281715176
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f706f76b0bdccb013ae3106ed175517dc612deb4788b18cb357077a34fd0ab4
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size 281715176
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train_job_output.txt
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The diff for this file is too large to render.
See raw diff
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5240
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version https://git-lfs.github.com/spec/v1
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oid sha256:46a1093854b1dc085cb47307a8ccf603f67215e6816d7415bbf2835bd797f3b5
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size 5240
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