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sara-m98/MAMO_DEBERTA_1_DESCARTADO
MAMO_DEBERTA_1_DESCARTADO is a token classification model from sara-m98. Use it when you need labels on individual words, such as names. It is set up for transformers.
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 0.204200 0.217334 0.000000 0.000000 0.000000 0.962026 2 0.122200 0.140626 0.242718 0.171340 0.200877 0.971903 3 0.105600 0.121874 0.446841 0.361371 0.…
Downloads · 30 days
4
16% of all-time downloads
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.safetensors736 MB · 99%
From the Hugging Face model README
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 0.204200 0.217334 0.000000 0.000000 0.000000 0.962026 2 0.122200 0.140626 0.242718 0.171340 0.200877 0.971903 3 0.105600 0.121874 0.446841 0.361371 0.399587 0.974405 4 0.084300 0.114926 0.435052 0.394393 0.413725 0.972991 5 0.067900 0.110886 0.422147 0.467913 0.443853 0.974888 6 0.057300 0.113021 0.482426 0.530218 0.505194 0.977372 7 0.049300 0.114379 0.468750 0.448598 0.458453 0.975995 8 0.043600 0.115031 0.507549 0.544548 0.525398 0.976135 9 0.039100 0.120416 0.474687 0.590031 0.526111 0.975502 10 0.030900 0.121521 0.508323 0.532710 0.520231 0.977139 11 0.021400 0.125682 0.495652 0.568224 0.529463 0.976572 12 0.022400 0.132050 0.517886 0.604361 0.557792 0.976376 13 0.018900 0.134529 0.514349 0.580685 0.545508 0.976869 14 0.017800 0.140921 0.497755 0.552648 0.523767 0.975428 15 0.015400 0.141800 0.534231 0.568847 0.550996 0.977520 16 0.013300 0.143844 0.550145 0.591277 0.569970 0.977520 17 0.015000 0.145170 0.517549 0.542056 0.529519 0.976600 18 0.013300 0.147635 0.550640 0.589408 0.569365 0.976618 19 0.011400 0.151512 0.579360 0.598131 0.588596 0.978134 20 0.010500 0.152990 0.511833 0.579439 0.543542 0.975772 21 0.009500 0.153245 0.572524 0.604984 0.588307 0.978060 22 0.010700 0.156462 0.574216 0.604984 0.589199 0.977688 23 0.010600 0.159796 0.559633 0.608100 0.582861 0.976804 24 0.009300 0.157097 0.561047 0.601246 0.580451 0.977772 25 0.007700 0.160332 0.538028 0.595016 0.565089 0.976990 26 0.007500 0.163295 0.566508 0.594393 0.580116 0.977437 27 0.007900 0.163533 0.547945 0.598131 0.571939 0.976897 28 0.007300 0.161580 0.559184 0.597508 0.577711 0.977446 29 0.007000 0.163467 0.557593 0.606231 0.580896 0.977390 30 0.007600 0.164678 0.552860 0.596262 0.573741 0.977325 31 0.007300 0.164993 0.550607 0.593146 0.571086 0.976990 32 0.007600 0.165012 0.552265 0.592523 0.571686 0.977111