readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilgpt2-finetuned-love2
    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. -->
  
  # distilgpt2-finetuned-love2
  
  This model is a fine-tuned version of [glenn2/distilgpt2-finetuned-love2](https://huggingface.co/glenn2/distilgpt2-finetuned-love2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2861
  
  ## 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: 20.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 45   | 0.2777          |
  | No log        | 2.0   | 90   | 0.2796          |
  | No log        | 3.0   | 135  | 0.2838          |
  | No log        | 4.0   | 180  | 0.2740          |
  | No log        | 5.0   | 225  | 0.2796          |
  | No log        | 6.0   | 270  | 0.2795          |
  | No log        | 7.0   | 315  | 0.2815          |
  | No log        | 8.0   | 360  | 0.2814          |
  | No log        | 9.0   | 405  | 0.2791          |
  | No log        | 10.0  | 450  | 0.2796          |
  | No log        | 11.0  | 495  | 0.2829          |
  | 0.0735        | 12.0  | 540  | 0.2859          |
  | 0.0735        | 13.0  | 585  | 0.2864          |
  | 0.0735        | 14.0  | 630  | 0.2870          |
  | 0.0735        | 15.0  | 675  | 0.2861          |
  | 0.0735        | 16.0  | 720  | 0.2848          |
  | 0.0735        | 17.0  | 765  | 0.2863          |
  | 0.0735        | 18.0  | 810  | 0.2865          |
  | 0.0735        | 19.0  | 855  | 0.2862          |
  | 0.0735        | 20.0  | 900  | 0.2861          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  