The detection result is precision=0.033734939759036145, recall=0.7636363636363637 and F1=0.06461538461538462
The correction result is precision=0.0, recall=0.0 and F1=0
Sentence Level: acc:0.000000, precision:0.000000, recall:0.000000, f1:0.000000
Traceback (most recent call last):
File "main.py", line 102, in
main()
File "main.py", line 94, in main
trainer.fit(model, train_loader, valid_loader)
File "/home/containeruser/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 918, in fit
self.single_gpu_train(model)
File "/home/containeruser/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/distrib_parts.py", line 176, in single_gpu_train
self.run_pretrain_routine(model)
File "/home/containeruser/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/trainer.py", line 1077, in run_pretrain_routine
_, _, _, callback_metrics, _ = self.process_output(eval_results)
File "/home/containeruser/conda/lib/python3.7/site-packages/pytorch_lightning/trainer/logging.py", line 106, in process_output
for k, v in output.items():
AttributeError: 'NoneType' object has no attribute 'items'

i think this error is strange and i don't knon how to trace it because the interface is only 'trainer.fit'.
i think maybe you had met this problem.