| ***** Test results ***** | |
| Thu Sep 22 06:41:21 2022 | |
| Task: ner | |
| Model path: bert-base-uncased | |
| Data path: ./data/ud/ | |
| Tokenizer: bert-base-uncased | |
| Batch size: 32 | |
| Epoch: 6 | |
| 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 0.7133 0.6503 0.6803 612 | |
| DATE 0.6922 0.7254 0.7084 1045 | |
| EVENT 0.4429 0.3875 0.4133 80 | |
| FAC 0.3390 0.3974 0.3659 151 | |
| GPE 0.8456 0.8714 0.8583 1936 | |
| LANGUAGE 0.5135 0.2468 0.3333 77 | |
| LAW 0.4130 0.3333 0.3689 57 | |
| LOC 0.5934 0.4977 0.5414 217 | |
| MONEY 0.5370 0.4754 0.5043 61 | |
| NORP 0.6211 0.7536 0.6809 422 | |
| ORDINAL 0.8208 0.8304 0.8256 171 | |
| ORG 0.5289 0.5869 0.5564 857 | |
| PERCENT 0.3333 0.4722 0.3908 36 | |
| PERSON 0.7192 0.7885 0.7523 1371 | |
| PRODUCT 0.2705 0.3367 0.3000 98 | |
| QUANTITY 0.3485 0.4340 0.3866 53 | |
| SEP] 0.0000 0.0000 0.0000 0 | |
| TIME 0.6071 0.6355 0.6210 214 | |
| WORK_OF_ART 0.3000 0.2538 0.2750 130 | |
| micro avg 0.6487 0.7110 0.6784 7588 | |
| macro avg 0.5073 0.5093 0.5033 7588 | |
| weighted avg 0.6821 0.7110 0.6946 7588 | |
| Special token predictions: 0 | |