--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: condition-Kitchen results: [] --- # condition-Kitchen This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.1685 - Rmse: 1.0810 ## 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: 16 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | |:-------------:|:-----:|:----:|:---------------:|:------:| | No log | 1.0 | 101 | 1.2101 | 1.1001 | | No log | 2.0 | 202 | 0.7917 | 0.8898 | | No log | 3.0 | 303 | 1.0430 | 1.0213 | | No log | 4.0 | 404 | 0.9290 | 0.9639 | | 2.8472 | 5.0 | 505 | 0.6923 | 0.8321 | | 2.8472 | 6.0 | 606 | 0.8079 | 0.8989 | | 2.8472 | 7.0 | 707 | 0.7159 | 0.8461 | | 2.8472 | 8.0 | 808 | 0.6934 | 0.8327 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.1+cu117 - Datasets 2.10.0 - Tokenizers 0.13.0