mirror of
https://github.com/modelscope/modelscope.git
synced 2026-02-24 20:19:51 +01:00
8f18274f75
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/12643554 * add teardown for tests * add teardown for dialog_modeling_trainer,document_grounded_dialog_generate_trainer,document_grounded_dialog_rerank_trainer,document_grounded_dialog_retrieval_trainer,training_args,translation_evaluation_trainer,translation_trainer
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
|
|
import argparse
|
|
import os
|
|
import shutil
|
|
import tempfile
|
|
import unittest
|
|
|
|
from modelscope.hub.snapshot_download import snapshot_download
|
|
from modelscope.metainfo import Trainers
|
|
from modelscope.msdatasets import MsDataset
|
|
from modelscope.trainers import build_trainer
|
|
from modelscope.utils.constant import ModelFile
|
|
from modelscope.utils.test_utils import test_level
|
|
|
|
|
|
def test_trainer_with_model_and_args():
|
|
|
|
def concat_answer_context(dataset):
|
|
dataset['src_txt'] = dataset['answers']['text'][0] + '[SEP]' + dataset[
|
|
'context']
|
|
return dataset
|
|
|
|
from datasets import load_dataset
|
|
dataset_dict = load_dataset('luozhouyang/dureader', 'robust')
|
|
|
|
train_dataset = dataset_dict['train'].map(concat_answer_context) \
|
|
.rename_columns({'question': 'tgt_txt'}).remove_columns('context') \
|
|
.remove_columns('id').remove_columns('answers')
|
|
eval_dataset = dataset_dict['validation'].map(concat_answer_context) \
|
|
.rename_columns({'question': 'tgt_txt'}).remove_columns('context') \
|
|
.remove_columns('id').remove_columns('answers')
|
|
|
|
tmp_dir = tempfile.TemporaryDirectory().name
|
|
if not os.path.exists(tmp_dir):
|
|
os.makedirs(tmp_dir)
|
|
|
|
model_id = 'damo/nlp_plug_text-generation_27B'
|
|
|
|
kwargs = dict(
|
|
model=model_id,
|
|
train_dataset=train_dataset,
|
|
eval_dataset=eval_dataset,
|
|
work_dir=tmp_dir)
|
|
|
|
trainer = build_trainer(
|
|
name=Trainers.nlp_plug_trainer, default_args=kwargs)
|
|
trainer.train()
|
|
shutil.rmtree(tmp_dir)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument('--local_rank')
|
|
test_trainer_with_model_and_args()
|