readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BERT_Dec-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_Dec-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: 0.0372
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.0625        | 1.0   | 273  | 0.0376          |
  | 0.039         | 2.0   | 546  | 0.0375          |
  | 0.0385        | 3.0   | 819  | 0.0358          |
  | 0.0375        | 4.0   | 1092 | 0.0380          |
  | 0.0374        | 5.0   | 1365 | 0.0387          |
  | 0.0358        | 6.0   | 1638 | 0.0378          |
  | 0.0363        | 7.0   | 1911 | 0.0381          |
  | 0.0373        | 8.0   | 2184 | 0.0377          |
  | 0.0362        | 9.0   | 2457 | 0.0373          |
  | 0.037         | 10.0  | 2730 | 0.0380          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  