--- license: apache-2.0 tags: - generated_from_trainer base_model: distilroberta-base datasets: - diffusiondb model-index: - name: diffusion_prompt results: [] --- # diffusion_prompt This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the diffusiondb dataset. It achieves the following results on the evaluation set: - Loss: 1.3442 ## 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: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 171 | 1.5182 | | No log | 2.0 | 342 | 1.4020 | | 1.6418 | 3.0 | 513 | 1.3474 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.1+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1