测试结果和验证结果是nan

[Little-girl-1992]

INFO:tensorflow:***** Eval results *****
INFO:tensorflow: eval_f = nan
INFO:tensorflow: eval_precision = nan
INFO:tensorflow: eval_recall = nan
INFO:tensorflow: global_step = 327
INFO:tensorflow: loss = 2.0464203

INFO:tensorflow:***** Predict results *****
INFO:tensorflow: eval_f = nan
INFO:tensorflow: eval_precision = nan
INFO:tensorflow: eval_recall = nan
INFO:tensorflow: global_step = 327
INFO:tensorflow: loss = 2.4771109

entity level
processed 214543 tokens with 7450 phrases; found: 7740 phrases; correct: 6676.
accuracy: 98.83%; precision: 86.25%; recall: 89.61%; FB1: 87.90
LOC: precision: 87.66%; recall: 89.81%; FB1: 88.72 3549
ORG: precision: 77.08%; recall: 85.69%; FB1: 81.15 2408
PER: precision: 95.85%; recall: 93.90%; FB1: 94.87 1783

[zuchunshan]

我也遇到了类似问题，正在排查原因。
我是在多核CPU上运行的，GPU环境不方便升级到CUDA9.0。

[makotohomula]

我遇到了类似问题，清除output里面的输出，重新运行时得到了解决

[newwaylw]

我也遇到了nan，并且我的test集人名效果奇差，不知道是哪里的问题 (我并没有改动数据)：
INFO:tensorflow:Finished evaluation at 2019-01-17-15:01:59
INFO:tensorflow:Saving dict for global step 19560: eval_f = nan, eval_precision = nan, eval_recall = nan, global_step = 19560, loss = 30.386103
INFO:tensorflow:Saving 'checkpoint_path' summary for global step 19560: /home/wei/BERT-BiLSTM-CRF-NER/output/model.ckpt-19560
INFO:tensorflow:evaluation_loop marked as finished
INFO:tensorflow:***** Predict results *****
INFO:tensorflow: eval_f = nan
INFO:tensorflow: eval_precision = nan
INFO:tensorflow: eval_recall = nan
INFO:tensorflow: global_step = 19560
INFO:tensorflow: loss = 30.386103
INFO:tensorflow:Calling model_fn.
INFO:tensorflow:Running infer on CPU
INFO:tensorflow:*** Features ***
INFO:tensorflow: name = input_ids, shape = (?, 128)
INFO:tensorflow: name = input_mask, shape = (?, 128)
INFO:tensorflow: name = label_ids, shape = (?, 128)
INFO:tensorflow: name = segment_ids, shape = (?, 128)
shape of input_ids (?, 128)
INFO:tensorflow:**** Trainable Variables ****
INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Graph was finalized.
INFO:tensorflow:Restoring parameters from /home/wei/BERT-BiLSTM-CRF-NER/output/model.ckpt-19560
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
processed 214542 tokens with 7450 phrases; found: 197725 phrases; correct: 7061.
accuracy: 10.90%; precision: 3.57%; recall: 94.78%; FB1: 6.88
LOC: precision: 95.70%; recall: 95.06%; FB1: 95.38 3441
ORG: precision: 92.09%; recall: 91.37%; FB1: 91.73 2149
PER: precision: 0.93%; recall: 98.30%; FB1: 1.84 192135
有人遇到过吗？

[macanv]

不知道为啥，我使用多种数据运行，都没出现过NON，能给出其他方法的baseline 再来比较么？

[WaNePr]

@zuchunshan

我也遇到了类似问题，正在排查原因。
我是在多核CPU上运行的，GPU环境不方便升级到CUDA9.0。

请问你最终解决了这个问题么，测试结果NaN

[WaNePr]

@makotohomula

我遇到了类似问题，清除output里面的输出，重新运行时得到了解决

请问你清除了哪些output的文件

[WaNePr]

我也遇到了nan，并且我的test集人名效果奇差，不知道是哪里的问题 (我并没有改动数据)：
INFO:tensorflow:Finished evaluation at 2019-01-17-15:01:59
INFO:tensorflow:Saving dict for global step 19560: eval_f = nan, eval_precision = nan, eval_recall = nan, global_step = 19560, loss = 30.386103
INFO:tensorflow:Saving 'checkpoint_path' summary for global step 19560: /home/wei/BERT-BiLSTM-CRF-NER/output/model.ckpt-19560
INFO:tensorflow:evaluation_loop marked as finished
INFO:tensorflow:***** Predict results *****
INFO:tensorflow: eval_f = nan
INFO:tensorflow: eval_precision = nan
INFO:tensorflow: eval_recall = nan
INFO:tensorflow: global_step = 19560
INFO:tensorflow: loss = 30.386103
INFO:tensorflow:Calling model_fn.
INFO:tensorflow:Running infer on CPU
INFO:tensorflow:*** Features ***
INFO:tensorflow: name = input_ids, shape = (?, 128)
INFO:tensorflow: name = input_mask, shape = (?, 128)
INFO:tensorflow: name = label_ids, shape = (?, 128)
INFO:tensorflow: name = segment_ids, shape = (?, 128)
shape of input_ids (?, 128)
INFO:tensorflow:**** Trainable Variables ****
INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Graph was finalized.
INFO:tensorflow:Restoring parameters from /home/wei/BERT-BiLSTM-CRF-NER/output/model.ckpt-19560
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
processed 214542 tokens with 7450 phrases; found: 197725 phrases; correct: 7061.
accuracy: 10.90%; precision: 3.57%; recall: 94.78%; FB1: 6.88
LOC: precision: 95.70%; recall: 95.06%; FB1: 95.38 3441
ORG: precision: 92.09%; recall: 91.37%; FB1: 91.73 2149
PER: precision: 0.93%; recall: 98.30%; FB1: 1.84 192135
有人遇到过吗？

@newwaylw 请问你解决了这个问题么？