readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - gb1
  model-index:
  - name: protein-lm-gb1
    results: []
  ---
  
  <!-- 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. -->
  
  # protein-lm-gb1
  
  This model was trained from scratch on the gb1 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.9175
  - Mse: 4.9175
  - Rmse: 2.2175
  - Mae: 1.9137
  - R2: -0.0720
  - Smape: 79.2041
  
  ## 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: 2e-05
  - train_batch_size: 64
  - eval_batch_size: 20
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Mse    | Rmse   | Mae    | R2      | Smape   |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:-------:|:-------:|
  | 5.202         | 1.0   | 7539  | 4.9090          | 4.9090 | 2.2156 | 1.9131 | -0.0702 | 79.1446 |
  | 5.247         | 2.0   | 15078 | 4.9849          | 4.9849 | 2.2327 | 1.9185 | -0.0867 | 79.6722 |
  | 5.2129        | 3.0   | 22617 | 4.9175          | 4.9175 | 2.2175 | 1.9137 | -0.0720 | 79.2041 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  