Training in progress, epoch 2
Browse files- eval_job_output.txt +174 -6
- logs/events.out.tfevents.1716743892.sphinx2 +3 -0
- model.safetensors +1 -1
- train_job_output.txt +0 -0
- training_args.bin +1 -1
eval_job_output.txt
CHANGED
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slurm submission log: 2024-05-
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created following sbatch script:
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###############################
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@@ -7,13 +7,13 @@ created following sbatch script:
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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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@@ -24,7 +24,7 @@ created following sbatch script:
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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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slurm submission log: 2024-05-25 22:01:16.904818
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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:7651389
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-1695127
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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_upsample/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_upsample/llms/pythia-70m_sciq_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_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 7651390
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###############################
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slurm submission log: 2024-05-25 22:02:26.073999
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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:7651420
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-1839927
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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_upsample/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_big_upsample/llms/pythia-70m_sciq_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_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 7651421
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###############################
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slurm submission log: 2024-05-25 22:12:51.200849
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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:7651461
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-1012098
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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_upsample/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_big_upsample/llms/pythia-70m_sciq_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_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 7651462
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###############################
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slurm submission log: 2024-05-25 22:15:56.896223
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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:7651489
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-4600543
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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_upsample/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_big_upsample/llms/pythia-70m_sciq_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_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 7651490
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###############################
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slurm submission log: 2024-05-25 22:18:15.756710
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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:7651519
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-3920714
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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_upsample/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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|
188 |
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# activate your desired anaconda environment
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189 |
+
. /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_big_upsample/llms/pythia-70m_sciq_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_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 7651520
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logs/events.out.tfevents.1716743892.sphinx2
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2a4ab904c93db3e2dc78df6a2787874886893722b77bee0b3a17c7976223a7f
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size 26117
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model.safetensors
CHANGED
@@ -1,3 +1,3 @@
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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 sha256:40a48589a587776162b95fb4619f4e69b08b408c2a3410afe0313e4acd34333c
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size 281715176
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train_job_output.txt
CHANGED
The diff for this file is too large to render.
See raw diff
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training_args.bin
CHANGED
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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 sha256:209af55204bf74f64a94dcd9521d29859d618933c50d5cfa614440e26a8531f0
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size 5240
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