readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - wikitext
  metrics:
  - accuracy
  model-index:
  - name: output_tiny
    results:
    - task:
        name: Causal Language Modeling
        type: text-generation
      dataset:
        name: wikitext wikitext-103-v1
        type: wikitext
        args: wikitext-103-v1
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.2132901596611274
  ---
  
  <!-- 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. -->
  
  # output_tiny
  
  This model is a fine-tuned version of [gpt2_tiny_random](https://huggingface.co/gpt2_tiny_random) on the wikitext wikitext-103-v1 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.3359
  - Accuracy: 0.2133
  
  ## 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: 0.0001
  - train_batch_size: 32
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - training_steps: 50000
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  