bug: fix the toy joint training slurm scripts#121
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changjonathanc merged 1 commit intobigscience-workshop:masterfrom Jan 14, 2022
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* master: (141 commits) build: bump nltk to 3.6.7 for security and performance (bigscience-workshop#130) build: bump nltk to 3.6.7 for security and performance (#5) Add fp16, multi-GPU training script (toy dataset) (bigscience-workshop#123) create dataset with html, timestamp, url, datasource, generation length and website description metadata and tittles, footers and headers from HTML (bigscience-workshop#119) remove `#SBATCH --gres=gpu:0 ` from `03_create_dataset.slurm` (bigscience-workshop#121) Add joint training slurm script (bigscience-workshop#111) Add features types for the metadata to extract and test multiprocessing (bigscience-workshop#118) feat: add a feature to choose where to extract metadata (bigscience-workshop#116) Use dateutil to parse date (bigscience-workshop#117) feat: change how the entity extraction process use ids (bigscience-workshop#115) add `path_or_url_flair_ner_model` in order to execute the entity extraction on a partition without internet (bigscience-workshop#106) delete old submodule delete ds_store style check style & quality imports handle IndexError for `wikipedia_desc_utils` (bigscience-workshop#102) handle the comment specific type not recognized by pyarrow (bigscience-workshop#83) quality check Change torch version + make it optional (bigscience-workshop#82) ... # Conflicts: # bsmetadata/metadata_utils.py
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There was a small error that crept into the training scripts, if you put
SBATCH --gres=gpu:1andSBATCH --account=six@cputogether, it creates a SLURM allocation error. This PR proposes to remove the instruction that blocks the job.