readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: GPT-Y
    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. -->
  
  # GPT-Y
  
  This model is a fine-tuned version of [juancopi81/gpt2-finetuned-yannic-large](https://huggingface.co/juancopi81/gpt2-finetuned-yannic-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.0797
  
  ## 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: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 403  | 3.0809          |
  | 2.9847        | 2.0   | 806  | 3.0811          |
  | 2.9516        | 3.0   | 1209 | 3.0781          |
  | 2.916         | 4.0   | 1612 | 3.0791          |
  | 2.9006        | 5.0   | 2015 | 3.0775          |
  | 2.9006        | 6.0   | 2418 | 3.0799          |
  | 2.8814        | 7.0   | 2821 | 3.0798          |
  | 2.8672        | 8.0   | 3224 | 3.0797          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  