readme: 
  ---
  license: afl-3.0
  language: 
  - eng
  tags:
  - generative-model
  datasets:
  - TRBLLmaker
  model:
  - gpt2
  widget:
  - text: "artist: Ashe.\ntitle: Moral of the story.\nlyrics: Some mistakes get made That's alright, that's okay You can think that you're in love When you're really just in pain.\nmeaning:"
    example_title: "Moral of the story"
    
  ---
  
  [Link to the arxiv](https://arxiv.org/pdf/2212.04917.pdf)
  
  [Datasets](https://huggingface.co/datasets/MorVentura/TRBLLmaker)
  
  
  ### About Us
  Created by [Mor Ventura](https://www.linkedin.com/in/mor-ventura/) and [Michael Toker](https://www.linkedin.com/in/mnlp/).
  
  ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32
    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. -->
  
  # checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32
  
  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: 2.5896
  - Accuracy: 0.4923
  
  ## 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: 5e-05
  - train_batch_size: 2
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.7781        | 1.01  | 128  | 2.6284          | 0.4875   |
  | 2.6217        | 2.02  | 256  | 2.6022          | 0.4908   |
  | 2.569         | 3.02  | 384  | 2.5928          | 0.4917   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0.dev0
  - Pytorch 1.10.1
  - Datasets 1.18.3
  - Tokenizers 0.11.6
  