Add fp16, multi-GPU training script (toy dataset)#123
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SaulLu
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Jan 14, 2022
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| load_dataset = functools.partial(load_dataset, use_auth_token=True) |
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This is something we don't necessarily need in our workflow I think as we work on the dataset already cloned locally. After that, I understand that you may need it for other tests on your side.
tianjianjiang
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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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Changed an argument in load_dataset so it tries to read private datasets.
Added gradient_step logging, so we can see time v.s. gradient step on wandb
Adds 2 sub-experiments
local_test.shthat can be used to test.The toy dataset used is now privated. To run the experiments, you'd need to configure the huggingface access tokens with
huggingface-cli login.