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fix weight init bug

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lilei 2021-11-25 20:19:22 +08:00 committed by GitHub
parent 397b247976
commit 7adfd02931
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1 changed files with 2 additions and 2 deletions
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4
src/deepke/name_entity_re/few_shot/models/model.py
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@ -33,7 +33,7 @@ class PromptBartDecoder(nn.Module):
self.averge_weights = nn.ParameterList(parameters=None) self.averge_weights = nn.ParameterList(parameters=None)
for id in label_ids: for id in label_ids:
if len(id) > 1: if len(id) > 1:
self.averge_weights.append(nn.Parameter(torch.FloatTensor(len(id)))) self.averge_weights.append(nn.Parameter(torch.FloatTensor(len(id)).uniform_(1.0, 2.5)))
print(self.averge_weights) print(self.averge_weights)
mapping = [0, 2] mapping = [0, 2]
for id in label_ids: for id in label_ids:
@ -700,4 +700,4 @@ class BeamHypotheses(object):
elif self.early_stopping: elif self.early_stopping:
return True return True
else: else:
return self.worst_score >= best_sum_logprobs / self.max_length ** self.length_penalty return self.worst_score >= best_sum_logprobs / self.max_length ** self.length_penalty