readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: BERT_newdata-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_newdata-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: 0.0378
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.0669        | 1.0   | 223  | 0.0373          |
  | 0.0394        | 2.0   | 446  | 0.0398          |
  | 0.0369        | 3.0   | 669  | 0.0371          |
  | 0.0362        | 4.0   | 892  | 0.0358          |
  | 0.0383        | 5.0   | 1115 | 0.0353          |
  | 0.0365        | 6.0   | 1338 | 0.0378          |
  | 0.0366        | 7.0   | 1561 | 0.0377          |
  | 0.0373        | 8.0   | 1784 | 0.0359          |
  | 0.0372        | 9.0   | 2007 | 0.0371          |
  | 0.0377        | 10.0  | 2230 | 0.0357          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  