| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: Gustavosta/Stable-Diffusion-Prompts | |
| widget: | |
| - text: A detective of wolfhound | |
| model-index: | |
| - name: distilgpt2-sd-prompts | |
| 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. --> | |
| # distilgpt2-sd-prompts | |
| This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on [Stable-Diffusion-Prompts](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts). | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.9450 | |
| ## 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: 0.0005 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 256 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 8 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 2.5122 | 1.93 | 500 | 1.5211 | | |
| | 1.2912 | 3.86 | 1000 | 1.1045 | | |
| | 0.9313 | 5.79 | 1500 | 0.9704 | | |
| | 0.7744 | 7.72 | 2000 | 0.9450 | | |
| ### Framework versions | |
| - Transformers 4.23.1 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.13.1 | |