readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: DNADebertaK6_Zebrafish
    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. -->
  
  # DNADebertaK6_Zebrafish
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4958
  
  ## 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: 5e-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
  - training_steps: 600001
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 4.1727        | 0.59  | 20000  | 1.8535          |
  | 1.8381        | 1.18  | 40000  | 1.7512          |
  | 1.7561        | 1.77  | 60000  | 1.7235          |
  | 1.7281        | 2.36  | 80000  | 1.7019          |
  | 1.7065        | 2.95  | 100000 | 1.6822          |
  | 1.6876        | 3.54  | 120000 | 1.6639          |
  | 1.6718        | 4.13  | 140000 | 1.6501          |
  | 1.6562        | 4.71  | 160000 | 1.6350          |
  | 1.6429        | 5.3   | 180000 | 1.6211          |
  | 1.6313        | 5.89  | 200000 | 1.6102          |
  | 1.6207        | 6.48  | 220000 | 1.6001          |
  | 1.6099        | 7.07  | 240000 | 1.5902          |
  | 1.6           | 7.66  | 260000 | 1.5799          |
  | 1.5925        | 8.25  | 280000 | 1.5726          |
  | 1.5847        | 8.84  | 300000 | 1.5645          |
  | 1.5783        | 9.43  | 320000 | 1.5596          |
  | 1.5712        | 10.02 | 340000 | 1.5510          |
  | 1.5656        | 10.61 | 360000 | 1.5452          |
  | 1.5598        | 11.2  | 380000 | 1.5410          |
  | 1.5548        | 11.79 | 400000 | 1.5342          |
  | 1.5497        | 12.38 | 420000 | 1.5293          |
  | 1.546         | 12.96 | 440000 | 1.5241          |
  | 1.5397        | 13.55 | 460000 | 1.5214          |
  | 1.5365        | 14.14 | 480000 | 1.5164          |
  | 1.5321        | 14.73 | 500000 | 1.5115          |
  | 1.5285        | 15.32 | 520000 | 1.5075          |
  | 1.5246        | 15.91 | 540000 | 1.5034          |
  | 1.5217        | 16.5  | 560000 | 1.5029          |
  | 1.5191        | 17.09 | 580000 | 1.4995          |
  | 1.516         | 17.68 | 600000 | 1.4958          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  