Update README.md
b898ca8
verified
Model Training Metrics
Step |
Training Loss |
Validation Loss |
Precision |
Recall |
F1 |
Accuracy |
4500 |
0.051600 |
0.090031 |
0.595145 |
0.597476 |
0.596308 |
0.984089 |
4600 |
0.051600 |
0.088728 |
0.600799 |
0.588773 |
0.594725 |
0.984254 |
4700 |
0.051600 |
0.083724 |
0.624070 |
0.620540 |
0.622300 |
0.984184 |
4800 |
0.051600 |
0.089457 |
0.634303 |
0.645344 |
0.639776 |
0.984478 |
4900 |
0.051600 |
0.087367 |
0.626459 |
0.630548 |
0.628497 |
0.984054 |
5000 |
0.049400 |
0.084299 |
0.617598 |
0.644473 |
0.630750 |
0.983748 |
5100 |
0.049400 |
0.086022 |
0.631395 |
0.628372 |
0.629880 |
0.984454 |
5200 |
0.049400 |
0.086624 |
0.631912 |
0.651436 |
0.641526 |
0.984184 |
5300 |
0.049400 |
0.087849 |
0.641918 |
0.658399 |
0.650054 |
0.984607 |
5400 |
0.049400 |
0.090842 |
0.648156 |
0.634900 |
0.641460 |
0.984254 |
5500 |
0.047100 |
0.089992 |
0.627105 |
0.664491 |
0.645257 |
0.984019 |
5600 |
0.047100 |
0.085330 |
0.638217 |
0.654047 |
0.646035 |
0.984560 |
5700 |
0.047100 |
0.084110 |
0.644924 |
0.649695 |
0.647301 |
0.983984 |
5800 |
0.047100 |
0.085505 |
0.642038 |
0.657963 |
0.649903 |
0.984584 |
5900 |
0.047100 |
0.086117 |
0.629599 |
0.670148 |
0.649241 |
0.984572 |
6000 |
0.037200 |
0.087370 |
0.640464 |
0.648825 |
0.644617 |
0.984337 |
6100 |
0.037200 |
0.084265 |
0.624186 |
0.667102 |
0.644931 |
0.984442 |
6200 |
0.037200 |
0.084804 |
0.636364 |
0.676240 |
0.655696 |
0.984678 |
6300 |
0.037200 |
0.083215 |
0.638559 |
0.655788 |
0.647059 |
0.984560 |
6400 |
0.037200 |
0.083421 |
0.658244 |
0.668842 |
0.663501 |
0.985078 |
6500 |
0.037600 |
0.085991 |
0.637644 |
0.650131 |
0.643827 |
0.984478 |
6600 |
0.037600 |
0.086048 |
0.675829 |
0.674064 |
0.674946 |
0.985184 |
6700 |
0.037600 |
0.085995 |
0.660017 |
0.662315 |
0.661164 |
0.985113 |
6800 |
0.037600 |
0.085964 |
0.663314 |
0.660139 |
0.661723 |
0.985549 |
6900 |
0.037600 |
0.084587 |
0.655518 |
0.682332 |
0.668657 |
0.985643 |
7000 |
0.035200 |
0.084067 |
0.656785 |
0.684508 |
0.670360 |
0.985325 |
7100 |
0.035200 |
0.083450 |
0.658670 |
0.681027 |
0.669662 |
0.985631 |
7200 |
0.035200 |
0.087981 |
0.665669 |
0.677546 |
0.671555 |
0.985243 |
7300 |
0.035200 |
0.081362 |
0.659746 |
0.677546 |
0.668527 |
0.985972 |
7400 |
0.035200 |
0.083816 |
0.646620 |
0.678416 |
0.662136 |
0.985678 |
7500 |
0.031600 |
0.084738 |
0.658670 |
0.681027 |
0.669662 |
0.985572 |
7600 |
0.031600 |
0.084099 |
0.669345 |
0.688860 |
0.678962 |
0.985725 |
7700 |
0.031600 |
0.085109 |
0.673250 |
0.682332 |
0.677761 |
0.985855 |
7800 |
0.031600 |
0.085043 |
0.650648 |
0.677546 |
0.663824 |
0.985219 |
7900 |
0.031600 |
0.086399 |
0.671350 |
0.686249 |
0.678717 |
0.985513 |
8000 |
0.032300 |
0.084272 |
0.668826 |
0.674064 |
0.671435 |
0.985961 |
8100 |
0.032300 |
0.086206 |
0.656171 |
0.680157 |
0.667949 |
0.985337 |
8200 |
0.032300 |
0.085437 |
0.667521 |
0.679721 |
0.673566 |
0.985972 |
8300 |
0.032300 |
0.084903 |
0.679565 |
0.680157 |
0.679861 |
0.986090 |
8400 |
0.032300 |
0.084208 |
0.661384 |
0.690165 |
0.675468 |
0.985890 |
8500 |
0.030700 |
0.084594 |
0.674033 |
0.690165 |
0.682004 |
0.986149 |
8600 |
0.030700 |
0.085151 |
0.678280 |
0.686249 |
0.682241 |
0.986337 |
8700 |
0.030700 |
0.085606 |
0.669635 |
0.687119 |
0.678265 |
0.986008 |
8800 |
0.030700 |
0.085640 |
0.669499 |
0.685814 |
0.677558 |
0.985902 |
8900 |
0.030700 |
0.086006 |
0.671496 |
0.685814 |
0.678579 |
0.985855 |
9000 |
0.028000 |
0.085893 |
0.672208 |
0.686249 |
0.679156 |
0.985925 |