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Merge pull request #527 from Mathieu-Prouveur/fix_value_training_loss

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Update example files so that tr_loss is not affected by args.gradient…
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Thomas Wolf
2019-04-30 11:12:55 +02:00
committed by GitHub
parent b832d5bb8a 87b9ec3843
commit 2dee86319d
2 changed files with 3 additions and 3 deletions
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4
examples/run_classifier.py
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@@ -939,7 +939,7 @@ def main():
elif output_mode == "regression":
preds = np.squeeze(preds)
result = compute_metrics(task_name, preds, all_label_ids.numpy())
loss = tr_loss/nb_tr_steps if args.do_train else None
loss = tr_loss/global_step if args.do_train else None
result['eval_loss'] = eval_loss
result['global_step'] = global_step
@@ -1007,7 +1007,7 @@ def main():
preds = preds[0]
preds = np.argmax(preds, axis=1)
result = compute_metrics(task_name, preds, all_label_ids.numpy())
loss = tr_loss/nb_tr_steps if args.do_train else None
loss = tr_loss/global_step if args.do_train else None
result['eval_loss'] = eval_loss
result['global_step'] = global_step

2
examples/run_swag.py
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@@ -540,7 +540,7 @@ def main():
result = {'eval_loss': eval_loss,
'eval_accuracy': eval_accuracy,
'global_step': global_step,
'loss': tr_loss/nb_tr_steps}
'loss': tr_loss/global_step}
output_eval_file = os.path.join(args.output_dir, "eval_results.txt")
with open(output_eval_file, "w") as writer: