readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: dna_bert_6_kmers-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_6_kmers-finetuned
  
  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: 0.0034
  
  ## 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: 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.0296        | 1.0   | 250  | 0.0058          |
  | 0.0025        | 2.0   | 500  | 0.0042          |
  | 0.0017        | 3.0   | 750  | 0.0039          |
  | 0.0014        | 4.0   | 1000 | 0.0034          |
  | 0.0011        | 5.0   | 1250 | 0.0034          |
  | 0.0009        | 6.0   | 1500 | 0.0034          |
  | 0.0008        | 7.0   | 1750 | 0.0034          |
  | 0.0007        | 8.0   | 2000 | 0.0035          |
  | 0.0006        | 9.0   | 2250 | 0.0034          |
  | 0.0007        | 10.0  | 2500 | 0.0034          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  