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knots_protbertBFD_alphafold
EvaKlimentova/knots_protbertBFD_alphafold
knots_protbertBFD_alphafold is a text classification model from EvaKlimentova. Use it when you need a label for a piece of text. It is set up for transformers.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 8, 2023
- Updated
- Feb 15, 2024
- SHA
- b3eaf14c
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Datasets
Model card
From the Hugging Face model README
M1 - finetuned ProtBert-BFD
The model is trained on knots_AF dataset
The accuracy on the test set is ~ 0.9848
| M1 ProtBert BFD | Dataset size | Unknotted set size | Accuracy | TPR | TNR |
|---|---|---|---|---|---|
| All | 39412 | 19718 | 0.9848 | 0.9871 | 0.9826 |
| SPOUT | 7371 | 550 | 0.9905 | 0.9963 | 0.9182 |
| TDD | 612 | 24 | 0.9918 | 0.9966 | 0.8750 |
| DUF | 736 | 429 | 0.97905 | 0.9826 | 0.9767 |
| AdoMet synthase | 1794 | 240 | 0.9939 | 0.9968 | 0.9750 |
| Carbonic anhydrase | 1531 | 539 | 0.9556 | 0.9718 | 0.9258 |
| UCH | 477 | 125 | 0.9099 | 0.9631 | 0.7600 |
| ATCase/OTCase | 3799 | 3352 | 0.9992 | 0.9955 | 0.9997 |
| ribosomal-mitochondrial | 147 | 41 | 0.8912 | 0.9906 | 0.63412 |
| membrane | 8309 | 1577 | 0.9791 | 0.9895 | 0.9347 |
| VIT | 14347 | 12639 | 0.9873 | 0.9415 | 0.9935 |
| biosynthesis of lantibiotics | 392 | 286 | 0.9719 | 0.9811 | 0.9685 |
| PGluconate dehydrogenase | 1 | 0 | 1.0 | 1.0 |
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 8, 2023
- Updated
- Feb 15, 2024