We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
作者您好,我在用OFA的VE部分微调时,显示无法使用snli_ve,报错信息如下:
snli_ve
error: argument --task: invalid choice: 'snli_ve' (choose from 'hubert_pretraining', 'translation', 'translation_lev', 'online_backtranslation', 'speech_to_text', 'text_to_speech', 'cross_lingual_lm', 'frm_text_to_speech', 'translation_from_pretrained_bart', 'language_modeling', 'masked_lm', 'denoising', 'multilingual_denoising', 'simul_speech_to_text', 'simul_text_to_text', 'multilingual_masked_lm', 'audio_pretraining', 'audio_finetuning', 'sentence_ranking', 'translation_multi_simple_epoch', 'legacy_masked_lm', 'translation_from_pretrained_xlm', 'sentence_prediction', 'multilingual_translation', 'semisupervised_translation', 'dummy_lm', 'dummy_masked_lm', 'dummy_mt')
我的微调过程如下: 1.git clone OFA的代码到本地 2.按照requeirments配置好环境 3.编辑run_scripts/snli_ve目录下的运行脚本,修改data_dir路径和fairseq的python路径 4.nohup sh train_snli_ve.sh > train_snli_ve.out &
run_scripts/snli_ve
data_dir
fairseq
nohup sh train_snli_ve.sh > train_snli_ve.out &
具体原因是不是应该要调用 OFA/tasks/mm_tasks/snli_ve.py 下的库,但是却到了OFA/fairseq/fairseq/tasks中,找不到snli_ve模块?
OFA/tasks/mm_tasks/snli_ve.py
OFA/fairseq/fairseq/tasks
The text was updated successfully, but these errors were encountered:
No branches or pull requests
作者您好,我在用OFA的VE部分微调时,显示无法使用
snli_ve
,报错信息如下:我的微调过程如下:
1.git clone OFA的代码到本地
2.按照requeirments配置好环境
3.编辑
run_scripts/snli_ve
目录下的运行脚本,修改data_dir
路径和fairseq
的python路径4.
nohup sh train_snli_ve.sh > train_snli_ve.out &
具体原因是不是应该要调用
OFA/tasks/mm_tasks/snli_ve.py
下的库,但是却到了OFA/fairseq/fairseq/tasks
中,找不到snli_ve
模块?The text was updated successfully, but these errors were encountered: