readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: dna_3-Pretrained
    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_3-Pretrained
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6003
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.6057        | 1.0   | 62   | 0.6032          |
  | 0.5983        | 2.0   | 124  | 0.6002          |
  | 0.5934        | 3.0   | 186  | 0.5992          |
  | 0.5853        | 4.0   | 248  | 0.5979          |
  | 0.5799        | 5.0   | 310  | 0.5982          |
  | 0.5769        | 6.0   | 372  | 0.5999          |
  | 0.5754        | 7.0   | 434  | 0.5996          |
  | 0.5713        | 8.0   | 496  | 0.6000          |
  | 0.5687        | 9.0   | 558  | 0.5988          |
  | 0.5666        | 10.0  | 620  | 0.6003          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  