File size: 2,026 Bytes
3cd1076 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | #!/usr/bin/env python
# coding=utf-8
# Copyright 2023 Statistics and Machine Learning Research Group at HKUST. All rights reserved.
"""A one-line summary of the module or program, terminated by a period.
Leave one blank line. The rest of this docstring should contain an
overall description of the module or program. Optionally, it may also
contain a brief description of exported classes and functions and/or usage
examples.
Typical usage example:
foo = ClassFoo()
bar = foo.FunctionBar()
"""
import sys
import os
# sys.path.remove(os.path.abspath(os.path.dirname(sys.argv[0])))
from transformers import HfArgumentParser
from lmflow.args import (
ModelArguments,
DatasetArguments,
AutoArguments,
)
from lmflow.datasets.dataset import Dataset
from lmflow.models.auto_model import AutoModel
from lmflow.pipeline.auto_pipeline import AutoPipeline
def main():
# Parses arguments
pipeline_name = "finetuner"
PipelineArguments = AutoArguments.get_pipeline_args_class(pipeline_name)
parser = HfArgumentParser((ModelArguments, DatasetArguments, PipelineArguments))
if len(sys.argv) == 2 and sys.argv[1].endswith(".json"):
# If we pass only one argument to the script and it's the path to a json file,
# let's parse it to get our arguments.
model_args, data_args, pipeline_args = parser.parse_json_file(json_file=os.path.abspath(sys.argv[1]))
else:
model_args, data_args, pipeline_args = parser.parse_args_into_dataclasses()
# Initialization
finetuner = AutoPipeline.get_pipeline(
pipeline_name=pipeline_name,
model_args=model_args,
data_args=data_args,
pipeline_args=pipeline_args,
)
dataset = Dataset(data_args)
model = AutoModel.get_model(model_args)
data_args.bd_size = model.backend_model.config.bd_size
data_args.mask_id = model.tokenizer.encode("|<MASK>|")[0]
# Finetuning
tuned_model = finetuner.tune(model=model, dataset=dataset)
if __name__ == '__main__':
main()
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