readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: prompt-extend
    results: []
  ---
  [![Generic badge](https://img.shields.io/badge/🤗-Open%20in%20Spaces-blue.svg)](https://huggingface.co/spaces/daspartho/prompt-extend)
  
  # Prompt Extend
  
  Text generation model for generating suitable style cues given the main idea for a prompt.
  
  It is a GPT-2 model trained on [dataset](https://huggingface.co/datasets/daspartho/stable-diffusion-prompts) of stable diffusion prompts.
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 0.0001
  - train_batch_size: 128
  - eval_batch_size: 256
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.7436        | 1.0   | 12796 | 2.5429          |
  | 2.3292        | 2.0   | 25592 | 2.0711          |
  | 1.9439        | 3.0   | 38388 | 1.8447          |
  | 1.7059        | 4.0   | 51184 | 1.7325          |
  | 1.5775        | 5.0   | 63980 | 1.7110          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  