readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BERT_full_data3-6_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_full_data3-6_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: 0.0370
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.0649        | 1.0   | 284  | 0.0381          |
  | 0.0401        | 2.0   | 568  | 0.0364          |
  | 0.0374        | 3.0   | 852  | 0.0371          |
  | 0.0371        | 4.0   | 1136 | 0.0352          |
  | 0.0365        | 5.0   | 1420 | 0.0360          |
  | 0.0353        | 6.0   | 1704 | 0.0375          |
  | 0.0353        | 7.0   | 1988 | 0.0357          |
  | 0.0364        | 8.0   | 2272 | 0.0349          |
  | 0.0353        | 9.0   | 2556 | 0.0343          |
  | 0.0356        | 10.0  | 2840 | 0.0345          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  