This commit is contained in:
thomwolf
2019-06-18 17:00:52 +02:00
parent 4e6edc3274
commit 92e0ad5aba

View File

@@ -456,7 +456,7 @@ def main():
preds = np.argmax(preds, axis=1) preds = np.argmax(preds, axis=1)
elif output_mode == "regression": elif output_mode == "regression":
preds = np.squeeze(preds) preds = np.squeeze(preds)
result = compute_metrics(task_name, preds, out_label_ids.numpy()) result = compute_metrics(task_name, preds, out_label_ids)
if args.local_rank != -1: if args.local_rank != -1:
# Average over distributed nodes if needed # Average over distributed nodes if needed
@@ -533,7 +533,7 @@ def main():
eval_loss = eval_loss / nb_eval_steps eval_loss = eval_loss / nb_eval_steps
preds = preds[0] preds = preds[0]
preds = np.argmax(preds, axis=1) preds = np.argmax(preds, axis=1)
result = compute_metrics(task_name, preds, out_label_ids.numpy()) result = compute_metrics(task_name, preds, out_label_ids)
if args.local_rank != -1: if args.local_rank != -1:
# Average over distributed nodes if needed # Average over distributed nodes if needed