| ***** Test results ***** | |
| Thu Sep 22 09:50:02 2022 | |
| Task: ner | |
| Model path: bert-base-uncased | |
| Data path: ./data/ud/ | |
| Tokenizer: bert-base-uncased | |
| Batch size: 32 | |
| Epoch: 9 | |
| 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 0.6809 0.6520 0.6661 612 | |
| DATE 0.6870 0.7225 0.7043 1045 | |
| EVENT 0.3977 0.4375 0.4167 80 | |
| FAC 0.3404 0.4238 0.3776 151 | |
| GPE 0.8799 0.8549 0.8672 1936 | |
| LANGUAGE 0.4906 0.3377 0.4000 77 | |
| LAW 0.4062 0.4561 0.4298 57 | |
| LOC 0.5000 0.5023 0.5011 217 | |
| MONEY 0.5161 0.5246 0.5203 61 | |
| NORP 0.6817 0.7512 0.7148 422 | |
| ORDINAL 0.8276 0.8421 0.8348 171 | |
| ORG 0.5455 0.5741 0.5594 857 | |
| PERCENT 0.5476 0.6389 0.5897 36 | |
| PERSON 0.7531 0.7943 0.7732 1371 | |
| PRODUCT 0.2937 0.4286 0.3485 98 | |
| QUANTITY 0.3492 0.4151 0.3793 53 | |
| SEP] 0.0000 0.0000 0.0000 0 | |
| TIME 0.5748 0.6822 0.6239 214 | |
| WORK_OF_ART 0.2963 0.2462 0.2689 130 | |
| micro avg 0.6736 0.7127 0.6926 7588 | |
| macro avg 0.5141 0.5413 0.5250 7588 | |
| weighted avg 0.6958 0.7127 0.7033 7588 | |
| Special token predictions: 0 | |