您好，我在完成一個(gè)多分類任務(wù)時(shí)遇到了一些困難。我運(yùn)行指令python run.py --model TextCNN --word True --embedding random后報(bào)錯(cuò)Traceback (most recent call last): ?

File "run.py", line 54, in <module> ? ?train(config, model, train_iter, dev_iter, test_iter) ?File "C:\Users\Administrator\Desktop\project\System\TextCNN\train_eval.py", line 47, in train ??

?loss = F.cross_entropy(outputs, labels) ?

File "C:\Users\Administrator\Desktop\project\System\venv\lib\site-packages\torch\nn\functional.py", line 2996, in cross_entropy ? ?

return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)?

IndexError: Target 48 is out of bounds。

我在網(wǎng)上看到的解釋是輸出層數(shù)跟我的標(biāo)簽數(shù)不匹配，我想問(wèn)一下我應(yīng)該改動(dòng)哪里的代碼呢？