readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - sst2
  model-index:
  - name: finetuned_gpt2-large_sst2_negation0.1_pretrainedFalse_epochs10
    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-large_sst2_negation0.1_pretrainedFalse_epochs10
  
  This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the sst2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.0544
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.9792        | 1.0   | 1329  | 3.0083          |
  | 1.3396        | 2.0   | 2658  | 3.3183          |
  | 1.0851        | 3.0   | 3987  | 3.5044          |
  | 0.9187        | 4.0   | 5316  | 3.6375          |
  | 0.828         | 5.0   | 6645  | 3.7741          |
  | 0.7698        | 6.0   | 7974  | 3.8374          |
  | 0.73          | 7.0   | 9303  | 3.9100          |
  | 0.7027        | 8.0   | 10632 | 3.9658          |
  | 0.6776        | 9.0   | 11961 | 4.0164          |
  | 0.6614        | 10.0  | 13290 | 4.0544          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.7.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  