| | --- |
| | tags: |
| | - generated_from_trainer |
| | - stable diffusion |
| | - beautiful |
| | - masterpiece |
| | datasets: |
| | - Gustavosta/Stable-Diffusion-Prompts |
| | model-index: |
| | - name: tiny-gpt2-magicprompt |
| | results: [] |
| | widget: |
| | - text: "morning sun over Jakarta" |
| | example_title: "morning sun" |
| | - text: "WARNING: pip is" |
| | example_title: "pip" |
| | - text: "sentient cheese" |
| | example_title: "sentient cheese" |
| | - text: "cheeps are" |
| | example_title: "cheeps" |
| | parameters: |
| | min_length: 32 |
| | max_length: 64 |
| | no_repeat_ngram_size: 1 |
| | do_sample: True |
| | --- |
| | |
| |
|
| | # tiny-gpt2-magicprompt |
| |
|
| |
|
| | ~~Generate/augment your prompt, stable diffusion style.~~ Enter a new dimension of creativity |
| |
|
| | This model is a fine-tuned version of [sshleifer/tiny-gpt2](https://huggingface.co/sshleifer/tiny-gpt2) on the Gustavosta/Stable-Diffusion-Prompts dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 10.7918 |
| | - perplexity: 48618.8756 |
| |
|
| | ## Intended uses & limitations |
| |
|
| | ??? |
| |
|
| | ## Training and evaluation data |
| |
|
| | refer to the `Gustavosta/Stable-Diffusion-Prompts` dataset. |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0001 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 32 |
| | - total_train_batch_size: 512 |
| | - total_eval_batch_size: 4 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.05 |
| | - num_epochs: 10.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 10.8201 | 0.96 | 16 | 10.8191 | |
| | | 10.8167 | 1.96 | 32 | 10.8145 | |
| | | 10.8117 | 2.96 | 48 | 10.8095 | |
| | | 10.8058 | 3.96 | 64 | 10.8025 | |
| | | 10.7997 | 4.96 | 80 | 10.7989 | |
| | | 10.7959 | 5.96 | 96 | 10.7947 | |
| | | 10.7934 | 6.96 | 112 | 10.7925 | |
| | | 10.7924 | 7.96 | 128 | 10.7919 | |
| | | 10.7921 | 8.96 | 144 | 10.7918 | |
| | | 10.792 | 9.96 | 160 | 10.7918 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.25.0.dev0 |
| | - Pytorch 1.13.0+cu117 |
| | - Datasets 2.6.1 |
| | - Tokenizers 0.13.1 |
| | |
