readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: dnabertregressor-prediction
    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. -->
  
  # dnabertregressor-prediction
  
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8799
  
  ## 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: 32
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 402  | 1.0603          |
  | 1.665         | 2.0   | 804  | 0.9526          |
  | 1.024         | 3.0   | 1206 | 0.9169          |
  | 0.9555        | 4.0   | 1608 | 0.8905          |
  | 0.9251        | 5.0   | 2010 | 0.8799          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  