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sara-m98/MAMO_SPANBERT_2_DESCARTADO
MAMO_SPANBERT_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 3.119200 2.878037 0.000000 0.000000 0.000000 0.961310 2 2.405000 2.327306 0.000000 0.000000 0.000000 0.961310 3 2.159600 2.076995 0.000000 0.000000 0.…
Downloads · 30 days
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.safetensors431 MB · 100%
From the Hugging Face model README
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 3.119200 2.878037 0.000000 0.000000 0.000000 0.961310 2 2.405000 2.327306 0.000000 0.000000 0.000000 0.961310 3 2.159600 2.076995 0.000000 0.000000 0.000000 0.961310 4 1.804900 1.748920 0.000000 0.000000 0.000000 0.961310 5 1.397700 1.346772 0.000000 0.000000 0.000000 0.961310 6 1.025400 0.973913 0.000000 0.000000 0.000000 0.961310 7 0.719900 0.686505 0.000000 0.000000 0.000000 0.961310 8 0.501600 0.494487 0.000000 0.000000 0.000000 0.961310 9 0.380800 0.383785 0.000000 0.000000 0.000000 0.961310 10 0.311600 0.336195 0.000000 0.000000 0.000000 0.961310 11 0.258800 0.315924 0.000000 0.000000 0.000000 0.961310 12 0.236500 0.253852 0.111675 0.013010 0.023305 0.962388 13 0.200800 0.226378 0.318182 0.169722 0.221365 0.963356 14 0.182100 0.217136 0.209730 0.114725 0.148318 0.961496 15 0.160100 0.210742 0.221726 0.176227 0.196376 0.962165 16 0.157600 0.195225 0.266412 0.247191 0.256442 0.966918 17 0.127200 0.189208 0.247505 0.219988 0.232937 0.966239 18 0.123000 0.187548 0.351220 0.383205 0.366516 0.968378 19 0.115100 0.180783 0.374356 0.429923 0.400220 0.970164 20 0.101000 0.180689 0.368392 0.391484 0.379587 0.968983 21 0.089700 0.175706 0.405246 0.447664 0.425400 0.971094 22 0.092200 0.177654 0.362548 0.393850 0.377551 0.969606 23 0.082200 0.172466 0.428032 0.469545 0.447829 0.971773 24 0.092300 0.174907 0.381002 0.431697 0.404769 0.970313 25 0.083000 0.173300 0.392126 0.441750 0.415462 0.970582 26 0.083900 0.171921 0.398188 0.441750 0.418839 0.970461 27 0.081700 0.170704 0.408131 0.457126 0.431241 0.971029 28 0.085400 0.171769 0.395153 0.443525 0.417944 0.970685 29 0.080900 0.170563 0.408443 0.440568 0.423898 0.971168 30 0.076900 0.172662 0.394456 0.437611 0.414914 0.970285 31 0.078700 0.170632 0.409554 0.451212 0.429375 0.970982 32 0.075300 0.170925 0.410657 0.451212 0.429980 0.971140