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Lysandre
2020-06-01 20:23:30 -04:00
parent 1477c8aa89
commit 0c75018138
1 changed files with 3 additions and 3 deletions
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src/transformers/trainer.py
+3 -3
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@@ -783,14 +783,14 @@ class Trainer:
logits = outputs[0]
if not prediction_loss_only:
if "preds" not in evaluation_values["preds"]:
if "preds" not in evaluation_values:
evaluation_values["preds"] = logits.detach()
else:
evaluation_values["preds"] = torch.cat(
(evaluation_values["preds"], logits.detach()), dim=0
)
if inputs.get("labels") is not None:
if "label_ids" not in evaluation_values["label_ids"]:
if "label_ids" not in evaluation_values:
evaluation_values["label_ids"] = inputs["labels"].detach()
else:
evaluation_values["label_ids"] = torch.cat(
@@ -833,7 +833,7 @@ class Trainer:
if self.manage_evaluation_predictions is not None and self.eval_prediction_mapping is not None:
eval_predictions = self.eval_prediction_mapping(evaluation_values_numpy)
metrics = self.compute_metrics(eval_predictions)
elif evaluation_values_numpy["preds"] is not None and evaluation_values_numpy["label_ids"] is not None:
elif "preds" in evaluation_values_numpy and "label_ids" in evaluation_values_numpy:
eval_predictions = EvalPrediction(
predictions=evaluation_values_numpy["preds"], label_ids=evaluation_values_numpy["label_ids"]
)