PassbyGrocer/resume_ner_herb
evalp = 0.9822171390155553 evalr = 0.9790383704405495 eval_f1 = 0.9806131065277388
train result
eval result | Label | Precision | Recall | F1-Score | Support | |-------------|-----------|--------|----------|---------| | B-CONT | 1.00 | 1.00 | 1.00 | 33 | | B-EDU | 1.00 | 1.00 | 1.00 | 106 | | B-LOC | 1.00 | 1.00 | 1.00 | 2 | | B-NAME | 1.00 | 1.00 | 1.00 | 110 | | B-ORG | 0.99 | 0.98 | 0.98 | 523 | | B-PRO | 0.95 | 1.00 | 0.97 | 18 | | B-RACE | 1.00 | 1.00 | 1.00 | 15 | | B-TITLE | 0.96 | 0.96 | 0.96 | 690 | | I-CONT | 1.00 | 1.00 | 1.00 | 97 | | I-EDU | 1.00 | 1.00 | 1.00 | 283 | | I-LOC | 1.00 | 1.00 | 1.00 | 8 | | I-NAME | 1.00 | 1.00 | 1.00 | 177 | | I-ORG | 0.99 | 0.98 | 0.99 | 4146 | | I-PRO | 0.93 | 1.00 | 0.96 | 51 | | I-RACE | 1.00 | 1.00 | 1.00 | 14 | | I-TITLE | 0.97 | 0.97 | 0.97 | 2171 | | O | 0.00 | 0.00 | 0.00 | 0 |
{'evalloss': 684.596923828125, 'evalprecision': 0.9822171390155553, 'evalrecall': 0.9790383704405495, 'evalf1': 0.9806131065277388, 'evalruntime': 5.8637, 'evalsamplespersecond': 78.96, 'evalstepsper_second': 4.946, 'epoch': 10.0}
