CoVBERT

hunarbatra/CoVBERT

CoVBERT is a fill-mask model from hunarbatra. Use it when you need the model to fill a missing word. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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Model card

From the Hugging Face model README

CoVBERT

CoVBERT is a protein language model which speaks the language of SARS-CoV-2 spike proteins! Enter a sequence with mask and let CoVBERT predict the mutation at that position! CoVBERT has been trained with 50K spike glycoprotein sequences scraped from GISAID

It achieves the following results on the evaluation set:

Loss: 0.1343

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.3432	0.02	100	1.4642
1.4307	0.04	200	1.2907
1.3923	0.06	300	1.2445
1.2719	0.08	400	1.1913
1.1292	0.1	500	0.9962
0.9344	0.12	600	0.7351
0.7481	0.14	700	0.6377
0.6194	0.16	800	0.4843
0.4363	0.18	900	0.4043
0.416	0.2	1000	0.3693
0.3295	0.22	1100	0.3520
0.3416	0.24	1200	0.3343
0.3755	0.26	1300	0.3274
0.3064	0.28	1400	0.3127
0.3295	0.3	1500	0.2998
0.2928	0.32	1600	0.2965
0.3069	0.34	1700	0.2877
0.3048	0.36	1800	0.2850
0.2916	0.38	1900	0.2817
0.2979	0.4	2000	0.2591
0.2846	0.42	2100	0.2540
0.2568	0.44	2200	0.3389
0.277	0.46	2300	0.2369
0.2385	0.48	2400	0.2238
0.2477	0.5	2500	0.2160
0.2271	0.52	2600	0.2139
0.2457	0.54	2700	0.2024
0.2037	0.56	2800	0.2085
0.1865	0.58	2900	0.1978
0.2354	0.6	3000	0.1929
0.2001	0.62	3100	0.1865
0.2396	0.64	3200	0.1832
0.2197	0.66	3300	0.1790
0.1813	0.68	3400	0.1767
0.2109	0.7	3500	0.1970
0.1956	0.72	3600	0.1658
0.182	0.74	3700	0.1629
0.1916	0.76	3800	0.1610
0.1777	0.78	3900	0.1557
0.2005	0.8	4000	0.1492
0.1553	0.82	4100	0.1530
0.1631	0.84	4200	0.1448
0.1591	0.86	4300	0.1445
0.1499	0.88	4400	0.1427
0.1487	0.9	4500	0.1418
0.1638	0.92	4600	0.1381
0.1745	0.94	4700	0.1390
0.1551	0.96	4800	0.1366
0.1408	0.98	4900	0.1324
0.1254	1.0	5000	0.1356

Framework versions

Transformers 4.22.0.dev0
Pytorch 1.12.1+cu113
Tokenizers 0.12.1

Task: Fill-Mask
Library: transformers
Type: roberta
Created: Aug 24, 2022
Updated: Apr 12, 2023