readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-maptask-GF
    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-maptask-GF
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7116
  
  ## 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-06
  - 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
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.0139        | 0.84  | 1000  | 2.9045          |
  | 2.7923        | 1.67  | 2000  | 2.7825          |
  | 2.6799        | 2.51  | 3000  | 2.7264          |
  | 2.607         | 3.34  | 4000  | 2.6917          |
  | 2.55          | 4.18  | 5000  | 2.6708          |
  | 2.4988        | 5.01  | 6000  | 2.6570          |
  | 2.4697        | 5.85  | 7000  | 2.6480          |
  | 2.426         | 6.68  | 8000  | 2.6452          |
  | 2.4031        | 7.52  | 9000  | 2.6404          |
  | 2.3654        | 8.35  | 10000 | 2.6416          |
  | 2.3471        | 9.19  | 11000 | 2.6418          |
  | 2.3195        | 10.03 | 12000 | 2.6444          |
  | 2.2969        | 10.86 | 13000 | 2.6455          |
  | 2.2767        | 11.7  | 14000 | 2.6489          |
  | 2.2608        | 12.53 | 15000 | 2.6525          |
  | 2.2381        | 13.37 | 16000 | 2.6563          |
  | 2.2228        | 14.2  | 17000 | 2.6602          |
  | 2.2037        | 15.04 | 18000 | 2.6641          |
  | 2.1911        | 15.87 | 19000 | 2.6684          |
  | 2.1742        | 16.71 | 20000 | 2.6739          |
  | 2.1626        | 17.54 | 21000 | 2.6776          |
  | 2.1504        | 18.38 | 22000 | 2.6800          |
  | 2.143         | 19.21 | 23000 | 2.6832          |
  | 2.1277        | 20.05 | 24000 | 2.6892          |
  | 2.1178        | 20.89 | 25000 | 2.6924          |
  | 2.1128        | 21.72 | 26000 | 2.6952          |
  | 2.1009        | 22.56 | 27000 | 2.6978          |
  | 2.0957        | 23.39 | 28000 | 2.7006          |
  | 2.0885        | 24.23 | 29000 | 2.7024          |
  | 2.0849        | 25.06 | 30000 | 2.7065          |
  | 2.0794        | 25.9  | 31000 | 2.7075          |
  | 2.0783        | 26.73 | 32000 | 2.7090          |
  | 2.0698        | 27.57 | 33000 | 2.7106          |
  | 2.0718        | 28.4  | 34000 | 2.7109          |
  | 2.069         | 29.24 | 35000 | 2.7116          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  