VAE Test

--- library_name: transformers tags: - generated_from_trainer model-index: - name: vae_test 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. --> # vae_test This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. ## 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: 0.0002 - train_batch_size: 512 - eval_batch_size: 128 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.5,0.9) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine_with_min_lr - lr_scheduler_warmup_steps: 1000 - num_epochs: 0.1 ### Training results ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu126 - Datasets 3.5.1 - Tokenizers 0.21.1

Source context: 5 downloads · 0 likes · Pipeline feature-extraction · Library transformers · Repo stonesstones/vae_test

Source context: 7 downloads · 0 likes · Pipeline feature-extraction · Library transformers · Repo stonesstones/vae_test