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sara-m98/MAMO_SPANBERT_1_DESCARTADO
MAMO_SPANBERT_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 2.413900 2.302369 0.000000 0.000000 0.000000 0.961310 2 2.187700 2.104185 0.000000 0.000000 0.000000 0.961310 3 2.005900 1.917670 0.000000 0.000000 0.…
Downloads · 30 days
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15% of all-time downloads
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.safetensors431 MB · 100%
From the Hugging Face model README
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 2.413900 2.302369 0.000000 0.000000 0.000000 0.961310 2 2.187700 2.104185 0.000000 0.000000 0.000000 0.961310 3 2.005900 1.917670 0.000000 0.000000 0.000000 0.961310 4 1.791300 1.734135 0.000000 0.000000 0.000000 0.961310 5 1.611700 1.555290 0.000000 0.000000 0.000000 0.961310 6 1.440800 1.384071 0.000000 0.000000 0.000000 0.961310 7 1.261200 1.223523 0.000000 0.000000 0.000000 0.961310 8 1.110800 1.075976 0.000000 0.000000 0.000000 0.961310 9 0.982100 0.943935 0.000000 0.000000 0.000000 0.961310 10 0.843800 0.827372 0.000000 0.000000 0.000000 0.961310 11 0.721200 0.727615 0.000000 0.000000 0.000000 0.961310 12 0.638800 0.643735 0.000000 0.000000 0.000000 0.961310 13 0.565800 0.573970 0.000000 0.000000 0.000000 0.961310 14 0.505300 0.517145 0.000000 0.000000 0.000000 0.961310 15 0.449200 0.471511 0.000000 0.000000 0.000000 0.961310 16 0.402700 0.434961 0.000000 0.000000 0.000000 0.961310 17 0.383300 0.406002 0.000000 0.000000 0.000000 0.961310 18 0.356400 0.383251 0.000000 0.000000 0.000000 0.961310 19 0.337800 0.366318 0.000000 0.000000 0.000000 0.961310 20 0.326100 0.354519 0.000000 0.000000 0.000000 0.961310 21 0.311600 0.345648 0.000000 0.000000 0.000000 0.961310 22 0.312300 0.338970 0.000000 0.000000 0.000000 0.961310 23 0.309900 0.321387 0.000000 0.000000 0.000000 0.961310 24 0.278100 0.294333 0.000000 0.000000 0.000000 0.961310 25 0.255100 0.276990 0.031008 0.002365 0.004396 0.961319 26 0.233100 0.273734 0.465608 0.052040 0.093617 0.963160 27 0.233400 0.261498 0.528736 0.081609 0.141393 0.964025 28 0.228400 0.260375 0.553350 0.131875 0.212989 0.966992 29 0.216900 0.257901 0.610422 0.145476 0.234957 0.967597 30 0.218700 0.255535 0.572748 0.146659 0.233522 0.967429 31 0.217600 0.254450 0.563927 0.146067 0.232034 0.967374 32 0.228500 0.256448 0.493014 0.146067 0.225365 0.967206