Timeline for How to improve language model ex: BERT on unseen text in training?
Current License: CC BY-SA 4.0
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| when toggle format | what | by | license | comment | |
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| Dec 23, 2021 at 9:18 | comment | added | IS92 | Yes the 98% F-measure is on the test set, when I shuffle all the data and do random split to create a training set and a test set. The problem comes when I deliberately leave sentences containing more specifically" out of training set, which results in all sentences containing more specifically in test set being misclassified, so the F-measure drops to 80% in that case. | |
| Dec 22, 2021 at 16:38 | history | answered | chrishmorris | CC BY-SA 4.0 |