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Not always consider a local model a checkpoint in run_glue #10517

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Mar 4, 2021
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9 changes: 6 additions & 3 deletions examples/text-classification/run_glue.py
Original file line number Diff line number Diff line change
Expand Up @@ -406,12 +406,15 @@ def compute_metrics(p: EvalPrediction):

# Training
if training_args.do_train:
checkpoint = None
if last_checkpoint is not None:
checkpoint = last_checkpoint
elif os.path.isdir(model_args.model_name_or_path):
checkpoint = model_args.model_name_or_path
else:
checkpoint = None
# Check the config from that potential checkpoint has the right number of labels before using it as a
# checkpoint.
if AutoConfig.from_pretrained(model_args.model_name_or_path).num_labels == num_labels:
checkpoint = model_args.model_name_or_path

train_result = trainer.train(resume_from_checkpoint=checkpoint)
metrics = train_result.metrics

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