Closed ghost closed 4 years ago
Please help me to debug this, i'm not clear why this is happening, Happy to share more detials if needed.
Use dataset to generate dict. Size of doc_label dict is 97 Size of doc_token dict is 31732 Size of doc_char dict is 26 Size of doc_token_ngram dict is 0 Size of doc_keyword dict is 0 Size of doc_topic dict is 0 Shrink dict over. Size of doc_label dict is 97 Size of doc_token dict is 30079 Size of doc_char dict is 26 Size of doc_token_ngram dict is 0 Size of doc_keyword dict is 0 Size of doc_topic dict is 0 Traceback (most recent call last): File "train.py", line 245, in <module> train(config) File "train.py", line 213, in train trainer.eval(train_data_loader, model, optimizer, "Train", epoch) File "train.py", line 105, in eval return self.run(data_loader, model, optimizer, stage, epoch) File "train.py", line 155, in run is_flat=self.conf.eval.is_flat, is_multi=is_multi) File "/content/NeuralNLP-NeuralClassifier/evaluate/classification_evaluate.py", line 267, in evaluate if prob_np[predict_label_idx[j]] > threshold: IndexError: index 97 is out of bounds for axis 0 with size 97
The label dict size is 97, which means label id ranges from 0 ~ 96, so 97 is out of bound, you can check whether the predict id is right or not.
Please help me to debug this, i'm not clear why this is happening, Happy to share more detials if needed.