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When we try to load pre-trained model from model_name_or_path in this line for run_classify.py, it throws error (as expected).
I think we should instead use args.init_checkpoint as:
ifargs.init_checkpointandos.path.exists(args.init_checkpoint):
# set global_step to gobal_step of last saved checkpoint from model pathglobal_step=int(args.init_checkpoint.split("-")[-1].split("/")[0])
Am I missing anything?
The text was updated successfully, but these errors were encountered:
wasiahmad
changed the title
Error while loading pre-trained model PAWSX and XNLI
Error while loading pre-trained model for PAWSX and XNLI
Aug 21, 2020
When we try to load pre-trained model from
model_name_or_path
in this line forrun_classify.py
, it throws error (as expected).I think we should instead use
args.init_checkpoint
as:Am I missing anything?
The text was updated successfully, but these errors were encountered: