# M1 - finetuned ProtBert-BFD

The model is trained on [knots_AF dataset](https://huggingface.co/datasets/EvaKlimentova/knots_AF)

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  |         |
{"datasets": ["EvaKlimentova/knots_AF"]}
transformers pytorch bert text-classification dataset:EvaKlimentova/knots_AF autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #dataset-EvaKlimentova/knots_AF #autotrain_compatible #endpoints_compatible #region-us 

M1 - finetuned ProtBert-BFD
===========================


The model is trained on knots\_AF dataset


The accuracy on the test set is ~ 0.9848




TAGS
#transformers #pytorch #bert #text-classification #dataset-EvaKlimentova/knots_AF #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #text-classification #dataset-EvaKlimentova/knots_AF #autotrain_compatible #endpoints_compatible #region-us 
