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sara-m98/ECO_GPT_2_DESCARTADO
ECO_GPT_2_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 0.237500 0.226941 0.259950 0.139309 0.181403 0.957011 2 0.148100 0.161054 0.321994 0.334773 0.328259 0.960939 3 0.119500 0.146710 0.328448 0.369060 0.…
Downloads · 30 days
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33% of all-time downloads
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.safetensors498 MB · 99%
From the Hugging Face model README
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 0.237500 0.226941 0.259950 0.139309 0.181403 0.957011 2 0.148100 0.161054 0.321994 0.334773 0.328259 0.960939 3 0.119500 0.146710 0.328448 0.369060 0.347572 0.961370 4 0.102100 0.148372 0.334811 0.387419 0.359199 0.961281 5 0.086400 0.145992 0.317368 0.368521 0.341037 0.961548 6 0.074800 0.147944 0.317107 0.369330 0.341232 0.963386 7 0.063700 0.155810 0.318066 0.369330 0.341786 0.961740 8 0.059000 0.164643 0.313187 0.384719 0.345287 0.961775 9 0.054600 0.176684 0.313214 0.369870 0.339193 0.960463 10 0.049100 0.175419 0.313730 0.374460 0.341415 0.961335 11 0.041200 0.191850 0.299893 0.378510 0.334646 0.959653 12 0.040700 0.194694 0.341304 0.381479 0.360275 0.962572 13 0.039600 0.196027 0.324794 0.373110 0.347280 0.962491 14 0.033100 0.207053 0.332542 0.377970 0.353803 0.962402 15 0.029600 0.215698 0.315107 0.393629 0.350018 0.960810 16 0.031500 0.218959 0.342613 0.378780 0.359790 0.962967 17 0.031700 0.226546 0.326651 0.387149 0.354337 0.960610 18 0.025600 0.224580 0.317084 0.375810 0.343958 0.960837 19 0.022800 0.243041 0.316396 0.378240 0.344565 0.960917 20 0.019400 0.252371 0.332783 0.380940 0.355237 0.961357 21 0.017600 0.251527 0.325747 0.382559 0.351875 0.961660 22 0.019200 0.251368 0.327183 0.392549 0.356897 0.961442 23 0.016200 0.248066 0.323005 0.391199 0.353846 0.961655 24 0.017700 0.264770 0.334891 0.386879 0.359013 0.961593 25 0.015100 0.261398 0.330050 0.389039 0.357125 0.961958 26 0.016400 0.272170 0.323010 0.380130 0.349250 0.961201 27 0.019900 0.273141 0.329892 0.388229 0.356691 0.961548 28 0.017000 0.274913 0.335345 0.390119 0.360664 0.961735 29 0.015800 0.268880 0.338160 0.390929 0.362635 0.962305 30 0.018600 0.269092 0.334257 0.390929 0.360378 0.962020 31 0.016600 0.270417 0.337352 0.392819 0.362979 0.962149 32 0.012800 0.272377 0.337650 0.394168 0.363727 0.962131