readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: DNA_bert_3-finetuned
    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. -->
  
  # DNA_bert_3-finetuned
  
  This model is a fine-tuned version of [armheb/DNA_bert_3](https://huggingface.co/armheb/DNA_bert_3) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5788
  
  ## 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: 3e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.8244        | 1.0   | 62   | 0.6044          |
  | 0.5987        | 2.0   | 124  | 0.5933          |
  | 0.5915        | 3.0   | 186  | 0.5856          |
  | 0.585         | 4.0   | 248  | 0.5844          |
  | 0.5817        | 5.0   | 310  | 0.5818          |
  | 0.5791        | 6.0   | 372  | 0.5809          |
  | 0.5801        | 7.0   | 434  | 0.5807          |
  | 0.5768        | 8.0   | 496  | 0.5796          |
  | 0.5741        | 9.0   | 558  | 0.5790          |
  | 0.574         | 10.0  | 620  | 0.5788          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  