readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BERT_spring-6_tokenized
    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. -->
  
  # BERT_spring-6_tokenized
  
  This model is a fine-tuned version of [armheb/DNA_bert_6](https://huggingface.co/armheb/DNA_bert_6) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0369
  
  ## 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: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.0707        | 1.0   | 187  | 0.0406          |
  | 0.0399        | 2.0   | 374  | 0.0389          |
  | 0.0385        | 3.0   | 561  | 0.0362          |
  | 0.0385        | 4.0   | 748  | 0.0377          |
  | 0.0374        | 5.0   | 935  | 0.0358          |
  | 0.0375        | 6.0   | 1122 | 0.0357          |
  | 0.0375        | 7.0   | 1309 | 0.0377          |
  | 0.0368        | 8.0   | 1496 | 0.0382          |
  | 0.0372        | 9.0   | 1683 | 0.0363          |
  | 0.0355        | 10.0  | 1870 | 0.0335          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  