Training in progress, epoch 0

eval_job_output.txt

@@ -1,4 +1,4 @@
-slurm submission log: 2024-05-08 15:15:18.850625
+slurm submission log: 2024-05-09 15:03:33.472877
 created following sbatch script: 
 
 ###############################
@@ -7,24 +7,24 @@ created following sbatch script:
 
 #SBATCH --account=nlp
 #SBATCH --cpus-per-task=16
-#SBATCH --dependency=afterok:7590693
+#SBATCH --dependency=afterok:7592321
 #SBATCH --gres=gpu:1
-#SBATCH --job-name=tthrush-job-3548542
+#SBATCH --job-name=tthrush-job-2121767
 #SBATCH --mem=60G
 #SBATCH --nodelist=sphinx2
 #SBATCH --open-mode=append
-#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_sciq/eval_job_output.txt
+#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_2/pythia-70m_sciq/eval_job_output.txt
 #SBATCH --partition=sphinx
 #SBATCH --time=14-0
 
 # activate your desired anaconda environment
-. /nlp/scr/tthrush/miniconda3/etc/profile.d/conda.sh ; conda activate pretraining-coreset-selection
+. /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/llms/pythia-70m_sciq,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/pythia-70m_sciq/perf'
+srun --unbuffered run_as_child_processes 'lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_2/pythia-70m_sciq,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_2/pythia-70m_sciq/perf'
 
 ###############################
 
@@ -34,103 +34,7 @@ submission to slurm complete!
 ###############################
 slurm submission output
 
-Submitted batch job 7590694
-
-
-
-###############################
-
-###############################
-start time: 2024-05-08 16:41:16.761111
-machine: sphinx2
-conda env: pretraining-coreset-selection
-###############################
-running following processes
-
-	lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_sciq,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/pythia-70m_sciq/perf
-
-
-###############################
-command outputs: 
-
-
-2024-05-08:16:41:18,969 INFO     [utils.py:145] Note: detected 255 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
-2024-05-08:16:41:18,969 INFO     [utils.py:148] Note: NumExpr detected 255 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
-2024-05-08:16:41:18,969 INFO     [utils.py:160] NumExpr defaulting to 8 threads.
-2024-05-08:16:41:19,209 INFO     [config.py:58] PyTorch version 2.2.2 available.
-2024-05-08:16:41:22,485 INFO     [__main__.py:156] Verbosity set to INFO
-2024-05-08:16:41:32,918 WARNING  [__init__.py:194] Some tasks could not be loaded due to missing dependencies. Run with `--verbosity DEBUG` for full details.
-/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/datasets/load.py:1429: FutureWarning: The repository for hails/mmlu_no_train contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/hails/mmlu_no_train
-You can avoid this message in future by passing the argument `trust_remote_code=True`.
-Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
-  warnings.warn(
-2024-05-08:16:43:22,391 WARNING  [__init__.py:194] Some tasks could not be loaded due to missing dependencies. Run with `--verbosity DEBUG` for full details.
-2024-05-08:16:43:22,452 INFO     [__main__.py:229] Selected Tasks: ['arc_easy', 'lambada', 'piqa', 'sciq', 'xnli_en', 'xnli_fr']
-2024-05-08:16:43:23,061 INFO     [huggingface.py:148] Using device 'cuda'
-Traceback (most recent call last):
-  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/bin/lm_eval", line 8, in <module>
-    sys.exit(cli_evaluate())
-  File "/sailhome/tthrush/lm-evaluation-harness/lm_eval/__main__.py", line 231, in cli_evaluate
-    results = evaluator.simple_evaluate(
-  File "/sailhome/tthrush/lm-evaluation-harness/lm_eval/utils.py", line 415, in _wrapper
-    return fn(*args, **kwargs)
-  File "/sailhome/tthrush/lm-evaluation-harness/lm_eval/evaluator.py", line 98, in simple_evaluate
-    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
-  File "/sailhome/tthrush/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
-    return cls(**args, **args2)
-  File "/sailhome/tthrush/lm-evaluation-harness/lm_eval/models/huggingface.py", line 174, in __init__
-    self._get_config(
-  File "/sailhome/tthrush/lm-evaluation-harness/lm_eval/models/huggingface.py", line 420, in _get_config
-    self._config = transformers.AutoConfig.from_pretrained(
-  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1138, in from_pretrained
-    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
-  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/configuration_utils.py", line 631, in get_config_dict
-    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
-  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/configuration_utils.py", line 686, in _get_config_dict
-    resolved_config_file = cached_file(
-  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/utils/hub.py", line 369, in cached_file
-    raise EnvironmentError(
-OSError: /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_sciq does not appear to have a file named config.json. Checkout 'https://huggingface.co//juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_sciq/tree/main' for available files.
-###############################
-end time: 2024-05-08 16:43:26.887880
-elapsed time: 0:02:10.126769
-slurm submission log: 2024-05-09 07:34:40.567899
-created following sbatch script: 
-
-###############################
-
-#!/bin/bash
-
-#SBATCH --account=nlp
-#SBATCH --cpus-per-task=16
-#SBATCH --dependency=afterok:7591654
-#SBATCH --gres=gpu:1
-#SBATCH --job-name=tthrush-job-4562197
-#SBATCH --mem=60G
-#SBATCH --nodelist=sphinx2
-#SBATCH --open-mode=append
-#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_sciq/eval_job_output.txt
-#SBATCH --partition=sphinx
-#SBATCH --time=14-0
-
-# activate your desired anaconda environment
-. /nlp/scr/tthrush/miniconda3/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/llms/pythia-70m_sciq,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/pythia-70m_sciq/perf'
-
-###############################
-
-submission to slurm complete!
-
-
-###############################
-slurm submission output
-
-Submitted batch job 7591655
+Submitted batch job 7592322
 
 
 

logs/events.out.tfevents.1715298064.sphinx2

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model.safetensors

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training_args.bin

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