readme: ---
  tags:
  - generated_from_trainer
  
  model-index:
  - name: CoVBERT
    results: []
  
  widget:
  - text: "MLLTS<mask>FFALVDSTI"
  
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # 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](https://gisaid.org)
  
  
  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
  