readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-xl-fine-tuned-debiased
    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. -->
  
  # gpt2-xl-fine-tuned-debiased
  
  This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1714
  
  ## 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: 0.0005
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 32
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100.0
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 0.91  | 10   | 1.9130          |
  | No log        | 1.91  | 20   | 1.7356          |
  | No log        | 2.91  | 30   | 1.9216          |
  | No log        | 3.91  | 40   | 2.1714          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.5.0
  - Datasets 1.12.1
  - Tokenizers 0.11.6
  