houdawang

After I ran the provided script file, the result returned was as follows: {'em': 0.2, 'f1': 0.2976111111111111, 'prec': 0.30498268398268397, 'recall': 0.3068333333333333, 'sp_em': 0.02, 'sp_f1': 0.10866666666666668, 'sp_prec': 0.11333333333333334, 'sp_recall': 0.1075, 'joint_em':...

你好。我在trainer中设置了如下参数（ trainer = Trainer( driver="torch", train_dataloader=dl["train"], evaluate_dataloaders=dl["dev"], device=[4,7], callbacks=callback, optimizers=optimizer, n_epochs=args.epoch, accumulation_steps=args.accumulation_steps, torch_kwargs = {'ddp_kwargs':{'find_unused_parameters':True}} ) trainer.run()）确实是在两张卡上运行了起来 但是训练过程打印的loss:NAN,并且每个epoch打印的每个指标都是一个相同的值，请问问题出在哪里

ImportError: cannot import name 'DistTrainer' from 'fastNLP' 版本1.0.1