Training in progress, epoch 1
Browse files- config.json +1 -1
- eval_job_output.txt +7 -7
- logs/events.out.tfevents.1716022652.sphinx2 +3 -0
- model.safetensors +1 -1
- train_job_output.txt +0 -0
- training_args.bin +2 -2
config.json
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@@ -23,7 +23,7 @@
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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-
"transformers_version": "4.
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"use_cache": true,
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"use_parallel_residual": true,
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"vocab_size": 50304
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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+
"transformers_version": "4.40.2",
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"use_cache": true,
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"use_parallel_residual": true,
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"vocab_size": 50304
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eval_job_output.txt
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@@ -1,4 +1,4 @@
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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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@@ -7,24 +7,24 @@ 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=sphinx2
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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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# activate your desired anaconda environment
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. /nlp/scr/tthrush/miniconda3/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/
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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: 2024-05-17 11:42:21.569484
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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:7625435
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#SBATCH --gres=gpu:1
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#SBATCH --job-name=tthrush-job-2029793
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#SBATCH --mem=60G
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#SBATCH --nodelist=sphinx2
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#SBATCH --open-mode=append
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+
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_more_data/pythia-70m_arc_easy/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/llms_more_data/pythia-70m_arc_easy,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/llms_more_data/pythia-70m_arc_easy/perf'
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###############################
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###############################
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slurm submission output
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Submitted batch job 7625436
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logs/events.out.tfevents.1716022652.sphinx2
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version https://git-lfs.github.com/spec/v1
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oid sha256:a83d861b4fdb307118c91ce356ddd9c77af3b50f8d83c9a4145218c18dfa7ff4
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+
size 95392
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model.safetensors
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@@ -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:aac7930c164962b872a12a11bbc9fe9417fb0a96dcef35b9eb657b763e0d6afa
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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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@@ -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
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:9660a724752170b6549cfdb0321416b703ab249763292c2c4c04b37e54e7435e
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+
size 5176
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