examples/pytorch/transformers/run_train.sh

PYTHONPATH=. python examples/pytorch/transformers/finetune_transformers_model.py \
    --model bert-base-uncased \
    --num_labels 15 \
    --train_dataset_name clue \
    --train_subset_name tnews \
    --train_split train \
    --val_dataset_name clue \
    --val_subset_name tnews \
    --train_split train \
    --val_split validation \
    --sentence sentence \
    --label label \
    --eval_strategy by_step \
    --eval_interval 100
update training args Based on feat/0131/nlp_args branch, the original code review: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11408570 Support for running finetuning from the command line with training args, Compatible with the configuration optimization. 2023-02-10 05:32:21 +00:00			`PYTHONPATH=. python examples/pytorch/transformers/finetune_transformers_model.py \`
			`--model bert-base-uncased \`
			`--num_labels 15 \`
fix transformer example and fix some bugs Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/12626375 2023-05-16 15:27:17 +08:00			`--train_dataset_name clue \`
			`--train_subset_name tnews \`
			`--train_split train \`
			`--val_dataset_name clue \`
			`--val_subset_name tnews \`
			`--train_split train \`
			`--val_split validation \`
			`--sentence sentence \`
			`--label label \`
			`--eval_strategy by_step \`
			`--eval_interval 100`