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sara-m98/MAMO_DEBERTA_2_DESCARTADO
MAMO_DEBERTA_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 1.527300 0.624335 0.000000 0.000000 0.000000 0.958212 2 0.166300 0.185608 0.312377 0.099065 0.150426 0.967048 3 0.129800 0.131622 0.412582 0.314642 0.…
Downloads · 30 days
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15% of all-time downloads
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.safetensors736 MB · 98%
From the Hugging Face model README
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 1.527300 0.624335 0.000000 0.000000 0.000000 0.958212 2 0.166300 0.185608 0.312377 0.099065 0.150426 0.967048 3 0.129800 0.131622 0.412582 0.314642 0.357017 0.973903 4 0.078600 0.113546 0.481533 0.430530 0.454605 0.975102 5 0.070700 0.111169 0.424895 0.442368 0.433455 0.973400 6 0.056300 0.116430 0.396024 0.459190 0.425274 0.973577 7 0.041300 0.122875 0.534231 0.568847 0.550996 0.976562 8 0.033900 0.125698 0.510932 0.553271 0.531259 0.976665 9 0.025900 0.145591 0.471733 0.483489 0.477538 0.974888 10 0.022200 0.149702 0.480278 0.515888 0.497447 0.975288 11 0.011400 0.154742 0.495853 0.521495 0.508351 0.975056 12 0.013800 0.150350 0.550521 0.560125 0.555281 0.977790 13 0.012600 0.162668 0.497470 0.551402 0.523050 0.975642 14 0.010100 0.165029 0.514793 0.542056 0.528073 0.975753 15 0.009600 0.166035 0.515048 0.565109 0.538919 0.975977 16 0.009700 0.166831 0.530713 0.538318 0.534488 0.976386 17 0.008300 0.172371 0.502255 0.555140 0.527375 0.975493 18 0.006800 0.175101 0.521338 0.563240 0.541479 0.975846 19 0.005900 0.177098 0.516035 0.551402 0.533133 0.976302 20 0.004500 0.185734 0.515708 0.542056 0.528554 0.976088 21 0.003800 0.180857 0.524868 0.558879 0.541340 0.976404 22 0.003600 0.186592 0.522925 0.561371 0.541466 0.976181 23 0.002800 0.192714 0.531746 0.542679 0.537157 0.975791 24 0.003700 0.185401 0.533721 0.571963 0.552180 0.976358 25 0.003400 0.185012 0.550575 0.566355 0.558354 0.976935 26 0.003200 0.192491 0.520140 0.555140 0.537071 0.976200 27 0.002800 0.195251 0.537691 0.568847 0.552831 0.976181 28 0.002800 0.193803 0.528488 0.566355 0.546767 0.976311 29 0.003300 0.195902 0.517422 0.555140 0.535618 0.975837 30 0.002600 0.195202 0.527991 0.558255 0.542701 0.976163 31 0.003200 0.196565 0.532429 0.562617 0.547107 0.976070 32 0.002100 0.196160 0.529688 0.561371 0.545070 0.976070