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我在用一个240万的中文数据集训练模型出现了一些问题,不知道如何解决 #2

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@TWJ718925

你好!我是一名初学者,对于您的这篇论文很感兴趣,想着用中文的数据集来训练模型会是什么样的效果,但是我用了一个240万的中文数据集训练模型时遇到了一个问题,可能是自己能力不足没法解决,只能求助您,这个问题就是:在训练模型时,老是报错‘’tensorflow.python.framework.errors_impl.UnknownError: IndexError: too many indices for array‘’,我只跑通pos数据集,对于neg数据集也会出现同样的错误,我用的是服务器运行程序,而对于中文数据集,只训练‘’epoch:0 test_bleu:30.07800579071045 template_bleu:79.62971329689026 test_loss:6.98167085647583 test_ppl:1187.98974609375‘’然后就出现以下报错:
root@a8f8e2b9891d:/notebooks# python self_attn.py --mask_rate 0.2 --blank_num 2 --filename_prefix 'data.' --data_dir './yelp_data/data/'
/usr/local/lib/python3.5/dist-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
train_file:/notebooks/yelp_data/data/data.train.txt
valid_file:/notebooks/yelp_data/data/data.valid.txt
logdir:./log_dir/data.bsize150.epoch120.seqlen64.dynamic_lr.present0.8.partition2.hidden256.self_attn/
WARNING:tensorflow:From /notebooks/texar/utils/beam_search.py:87: calling reduce_logsumexp (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
epoch:0 test_bleu:30.07800579071045 template_bleu:79.62971329689026 test_loss:6.98167085647583 test_ppl:1187.98974609375
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1361, in _do_call
return fn(*args)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1340, in _run_fn
target_list, status, run_metadata)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.UnknownError: IndexError: too many indices for array
[[Node: PyFunc_6 = PyFunc[Tin=[DT_INT64, DT_INT64], Tout=[DT_INT64, DT_INT64], token="pyfunc_6", _device="/job:localhost/replica:0/task:0/device:CPU:0"](PyFunc_5, Variable_7/read)]]
[[Node: decoder_2/layer_5/ffn_1/ffn/conv1/Tensordot/Gather/_1765 = _HostRecvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12352_decoder_2/layer_5/ffn_1/ffn/conv1/Tensordot/Gather", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]

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