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prediction_loss_only as an arg #86

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prediction_loss_only as an arg #86

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6ba8a93
prediction_loss_only as an arg
tacerdi Sep 28, 2021
191bf4f
trainer.is_world_master is depreciated
tacerdi Sep 29, 2021
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8 changes: 5 additions & 3 deletions run_qg.py
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Original file line number Diff line number Diff line change
Expand Up @@ -177,6 +177,9 @@ def main(args_file=None):
mode="training",
using_tpu=training_args.tpu_num_cores is not None
)

# Prediction Loss
training_args.prediction_loss_only=True,

# Initialize our Trainer
trainer = Trainer(
Expand All @@ -185,7 +188,6 @@ def main(args_file=None):
train_dataset=train_dataset,
eval_dataset=valid_dataset,
data_collator=data_collator,
prediction_loss_only=True,
label_smoothing=model_args.label_smoothing
)

Expand All @@ -200,7 +202,7 @@ def main(args_file=None):
trainer.save_model()
# For convenience, we also re-save the tokenizer to the same directory,
# so that you can share your model easily on huggingface.co/models =)
if trainer.is_world_master():
if trainer.is_world_process_zero():
tokenizer.save_pretrained(training_args.output_dir)

# Evaluation
Expand Down Expand Up @@ -233,4 +235,4 @@ def run_qg(args_dict):
main(args_file="args.json")

if __name__ == "__main__":
main()
main()