| ***** Test results ***** | |
| Thu Sep 22 07:44:16 2022 | |
| Task: ner | |
| Model path: bert-base-uncased | |
| Data path: ./data/ud/ | |
| Tokenizer: bert-base-uncased | |
| Batch size: 32 | |
| Epoch: 7 | |
| Learning rate: 2e-05 | |
| LR Decay End Factor: 0.3LR Decay End Epoch: 5Sequence length: 96 | |
| Training: True | |
| Num Threads: 24 | |
| Num Sentences: 0 | |
| Max Grad Norm: 0.0 | |
| Use GNN: False | |
| Syntax graph style: dep | |
| Use label weights: False | |
| Clip value: 50 | |
| precision recall f1-score support | |
| CARDINAL 0.7030 0.6225 0.6603 612 | |
| DATE 0.7036 0.7177 0.7106 1045 | |
| EVENT 0.4133 0.3875 0.4000 80 | |
| FAC 0.3661 0.4437 0.4012 151 | |
| GPE 0.8721 0.8667 0.8694 1936 | |
| LANGUAGE 0.5758 0.2468 0.3455 77 | |
| LAW 0.3621 0.3684 0.3652 57 | |
| LOC 0.4978 0.5115 0.5045 217 | |
| MONEY 0.5849 0.5082 0.5439 61 | |
| NORP 0.6927 0.7156 0.7040 422 | |
| ORDINAL 0.8035 0.8129 0.8081 171 | |
| ORG 0.5158 0.5893 0.5501 857 | |
| PERCENT 0.3878 0.5278 0.4471 36 | |
| PERSON 0.7476 0.7994 0.7726 1371 | |
| PRODUCT 0.2742 0.3469 0.3063 98 | |
| QUANTITY 0.3443 0.3962 0.3684 53 | |
| SEP] 0.0000 0.0000 0.0000 0 | |
| TIME 0.5816 0.6495 0.6137 214 | |
| WORK_OF_ART 0.3544 0.2154 0.2679 130 | |
| micro avg 0.6680 0.7080 0.6874 7588 | |
| macro avg 0.5148 0.5119 0.5073 7588 | |
| weighted avg 0.6955 0.7080 0.6998 7588 | |
| Special token predictions: 0 | |