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MAMO_SPANBERT_3_FINAL
sara-m98/MAMO_SPANBERT_3_FINAL
MAMO_SPANBERT_3_FINAL 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 4.236300 4.005098 0.000000 0.000000 0.000000 0.956213 2 3.050800 2.816102 0.000000 0.000000 0.000000 0.961310 3 2.570200 2.420160 0.000000 0.000000 0.…
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.safetensors431 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 12, 2024
- SHA
- d90989f2
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Model card
From the Hugging Face model README
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 4.236300 4.005098 0.000000 0.000000 0.000000 0.956213 2 3.050800 2.816102 0.000000 0.000000 0.000000 0.961310 3 2.570200 2.420160 0.000000 0.000000 0.000000 0.961310 4 2.382700 2.286046 0.000000 0.000000 0.000000 0.961310 5 2.262000 2.173723 0.000000 0.000000 0.000000 0.961310 6 2.133700 2.044381 0.000000 0.000000 0.000000 0.961310 7 1.964600 1.892794 0.000000 0.000000 0.000000 0.961310 8 1.792300 1.718142 0.000000 0.000000 0.000000 0.961310 9 1.605800 1.520535 0.000000 0.000000 0.000000 0.961310 10 1.361400 1.307957 0.000000 0.000000 0.000000 0.961310 11 1.145300 1.107123 0.000000 0.000000 0.000000 0.961310 12 0.966300 0.926320 0.000000 0.000000 0.000000 0.961310 13 0.805900 0.770039 0.000000 0.000000 0.000000 0.961310 14 0.653600 0.640751 0.000000 0.000000 0.000000 0.961310 15 0.537400 0.538302 0.000000 0.000000 0.000000 0.961310 16 0.445200 0.460502 0.000000 0.000000 0.000000 0.961310 17 0.386900 0.403797 0.000000 0.000000 0.000000 0.961310 18 0.340100 0.364080 0.000000 0.000000 0.000000 0.961310 19 0.312700 0.341053 0.000000 0.000000 0.000000 0.961310 20 0.298100 0.327827 0.000000 0.000000 0.000000 0.961310 21 0.283300 0.319147 0.000000 0.000000 0.000000 0.961310 22 0.284900 0.312902 0.000000 0.000000 0.000000 0.961310 23 0.285900 0.308365 0.000000 0.000000 0.000000 0.961310 24 0.271400 0.303777 0.000000 0.000000 0.000000 0.961310 25 0.265700 0.300441 0.000000 0.000000 0.000000 0.961310 26 0.247900 0.297564 0.000000 0.000000 0.000000 0.961310 27 0.229900 0.249178 0.000000 0.000000 0.000000 0.961310 28 0.204000 0.226560 0.000000 0.000000 0.000000 0.961356 29 0.183300 0.219075 0.276433 0.128326 0.175283 0.963718 30 0.176900 0.213897 0.302557 0.125961 0.177871 0.963663 31 0.168900 0.213211 0.252275 0.180367 0.210345 0.962528 32 0.166700 0.201623 0.217236 0.180367 0.197092 0.967792 33 0.144500 0.197144 0.256148 0.221762 0.237718 0.967718 34 0.132300 0.194503 0.306855 0.283264 0.294588 0.968992 35 0.131200 0.193203 0.350216 0.335305 0.342598 0.970071 36 0.134700 0.194343 0.358720 0.384388 0.371110 0.969382 37 0.132600 0.187512 0.379808 0.373743 0.376751 0.970536 38 0.122300 0.188400 0.357558 0.363690 0.360598 0.969764 39 0.111100 0.186301 0.392058 0.414548 0.402989 0.971354 40 0.135800 0.181639 0.384521 0.370195 0.377222 0.970926 41 0.108300 0.183095 0.385358 0.401538 0.393281 0.970768 42 0.106700 0.184806 0.383838 0.404494 0.393896 0.970396 43 0.122300 0.183283 0.393683 0.412774 0.403002 0.970712 44 0.100000 0.182424 0.397471 0.427558 0.411966 0.971094 45 0.105500 0.181849 0.391884 0.416913 0.404011 0.970991 46 0.111500 0.182053 0.390837 0.408634 0.399537 0.970480
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 11, 2024
- Updated
- Jul 12, 2024