readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-medium-combine
    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-medium-combine
  
  This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7295
  
  ## 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: 8e-06
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.9811        | 0.6   | 500  | 2.8135          |
  | 2.8017        | 1.2   | 1000 | 2.7691          |
  | 2.7255        | 1.81  | 1500 | 2.7480          |
  | 2.6598        | 2.41  | 2000 | 2.7392          |
  | 2.6426        | 3.01  | 2500 | 2.7306          |
  | 2.6138        | 3.61  | 3000 | 2.7295          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  