readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - sst2
  model-index:
  - name: finetuned_gpt2-medium_sst2_negation0.0_pretrainedFalse_epochs30
    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. -->
  
  # finetuned_gpt2-medium_sst2_negation0.0_pretrainedFalse_epochs30
  
  This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the sst2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.8610
  
  ## 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-05
  - 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.7927        | 1.0   | 1059  | 3.3242          |
  | 2.4065        | 2.0   | 2118  | 3.5353          |
  | 2.0753        | 3.0   | 3177  | 3.8060          |
  | 1.8186        | 4.0   | 4236  | 4.0682          |
  | 1.6246        | 5.0   | 5295  | 4.3559          |
  | 1.4789        | 6.0   | 6354  | 4.5638          |
  | 1.367         | 7.0   | 7413  | 4.6723          |
  | 1.2762        | 8.0   | 8472  | 4.8568          |
  | 1.2058        | 9.0   | 9531  | 4.9660          |
  | 1.1499        | 10.0  | 10590 | 5.0804          |
  | 1.1047        | 11.0  | 11649 | 5.1751          |
  | 1.0641        | 12.0  | 12708 | 5.2775          |
  | 1.0287        | 13.0  | 13767 | 5.3404          |
  | 1.0026        | 14.0  | 14826 | 5.4163          |
  | 0.9781        | 15.0  | 15885 | 5.4508          |
  | 0.9559        | 16.0  | 16944 | 5.4982          |
  | 0.945         | 17.0  | 18003 | 5.5577          |
  | 0.9267        | 18.0  | 19062 | 5.5923          |
  | 0.9153        | 19.0  | 20121 | 5.6331          |
  | 0.8998        | 20.0  | 21180 | 5.6636          |
  | 0.8864        | 21.0  | 22239 | 5.7158          |
  | 0.8802        | 22.0  | 23298 | 5.7324          |
  | 0.8727        | 23.0  | 24357 | 5.7652          |
  | 0.8586        | 24.0  | 25416 | 5.7807          |
  | 0.8565        | 25.0  | 26475 | 5.7954          |
  | 0.851         | 26.0  | 27534 | 5.8253          |
  | 0.8457        | 27.0  | 28593 | 5.8330          |
  | 0.8432        | 28.0  | 29652 | 5.8485          |
  | 0.8405        | 29.0  | 30711 | 5.8505          |
  | 0.8354        | 30.0  | 31770 | 5.8610          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.7.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  