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why are the indices all the same? #19
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What's your data format looks like? |
like this: {"testid": 1, "features_content": ["好", "了", "你", "觉得", "对", "小区", "有", "什么", "缺点", "吗"], "labels_index": [21], "labels_num": 1} |
i have 23 classes, every sentence has one or more labels. |
So, it looks like you use your own data, and did you change the |
yes, my own data,and changed the parameter, and the result always like: |
the result always like, you mean that every evaluate time, the metrics values are totally same as the last time. Like the AUC is always 0.813869 and never change a little bit? |
yes, this problem like the link:#7 (comment) |
can u provide the |
predictions.txt |
It's kind of weird since every evaluate time the loss is different but metrics values are not change a bit. I guess that you may change the code? Could you provide the data sample you use, like 10 records enough both |
train_fast.txt |
hi, I use the data and the code you provide, everything seems okay. Note: since you don't provide the word2vec file (because the word2vec file is large object for uploading), I use my own Chinese word2vec model file. And I set the here is the train log file. |
OK thanks but why the indices are so low? |
The metrics values are low, it could be many reasons. Like:
|
Hi~ I tried different parameter for different model, but the result really all the same, except the AUC little high, but other indices like Precision、recall、F1-score all very low. train or test all the same. can you help me? Thanks very much
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